40 Burst results for "Otto"

Fresh update on "otto" discussed on Lance McAlister

Lance McAlister

01:07 min | 2 hrs ago

Fresh update on "otto" discussed on Lance McAlister

"The four game, said the Reds get something going early tonight. Do you realize they have not scored a run in the first inning? Since that wild Sunday game against the Cubs, where they won 13 to 12. They have not scored in the first inning in the 12 games since then, that they've only scored 17 runs in the first inning this year. Trying to get on track early tonight, They'll start with the top two hitters in the National League in both Jesse Winker and Nick Kosti. Otto's It is weird the way it is broken down. If you look at the numbers the way the Reds have Fared versus starting pitchers versus relief pitchers, starting pitchers as a team. The Reds are hitting 2 33. Once they get into the bullpen, they hit almost 2 80 against teams. Bullpens. Can they get to the pen early tonight? We shall see. I know this. I would love for you to join me. After the game. We'll talk about what took place. And what it all means. In the Kelsey Chevrolet extra inning show hang tight. There's much more ahead, including conversation with David Bell. It's the Reds and the Giants Tonight. This is the Yarnell carriers inside pitch on 700 wlw..

David Bell Nick Kosti Jesse Winker 12 Games Reds Cubs 13 12 17 Runs Sunday 2 First Inning Four Game Both This Year Yarnell Two Hitters 33 Otto Tonight
Fresh "Otto" from Here & Now

Here & Now

00:39 sec | 8 hrs ago

Fresh "Otto" from Here & Now

"$485,000. In Sports. Red Sox play the Blue Jays on the road today. Celtics host the Washington Wizards tonight for playing game and the Bruins air off their back home tomorrow in the forecast. It'll be a mix of sun and clouds today highs around 80 degrees. Partly cloudy tonight lows in the upper fifties. All sunshine tomorrow eyes in the upper seventies right now, 79 degrees in Boston. This is 90.9 W bur. We're funded by you, our listeners and by Rock Otto, an online auto parts store with everything from complex electrical parts for modern daily drivers. Two new brake shoes for old favorites more at rock, Otto dot.

Red Sox Boston Washington Wizards Blue Jays 79 Degrees $485,000 Tomorrow Celtics 90.9 W Bur Tonight Rock Otto Bruins Today Around 80 Degrees Two New Brake Shoes Upper Fifties Upper Seventies Otto Dot
Fresh update on "otto" discussed on The Read

The Read

03:06 min | 8 hrs ago

Fresh update on "otto" discussed on The Read

"True. Yes she was yes she was funny in that one and i haven't seen her hosting kiss at the darnedest things but i could see her being like perfect for that kinda gigs. So we don't be surprised if they if they gave it to tiffany at all so just like everyone's cousin or like black girlfriend that their white son brought home I see. I feel like tiffany. Is i mean like she's black black like she not wanted them type negroes that is trying to make you forget that she's black but she's also just black enough for white people to still be comfortable with it or for them to feel like they're doing a non-racist thing by supporting her like i think. That's how white people will see tiffany haddish like like. She's they're black friend almost like. Oh no i'm not racist. I love tiffany adage. My kids watch this through virtue in my opinion of her being yourself because yeah exactly black but it works for the whites so they feel safe so-called girl. I'm not mad at all. Yes and i'm personally more injury to buy a tiffany haddish talk show then you know them filling in with whoever i mean not to say i'm not gonna watch any of them do in the middle of the day time he shows come on. I'm probably just got a watching. Tiffany haddish play games with audience members from otto but she has filled in for alan a few times of course of course so she's already right there give the blackout coins. We shall see. I guess elephant and go take a break. Come back with us. Probably a stand up special or something. And i think the the nice thing is going to be permanently gone from elon's ho act. Well always kind of been nice allen's never been particularly edgy. I think the talk show thing. Super made her like Family friendly good. She was never laid over the top or or yes she was she was always. You know the the the nice comic the family friendly. And i think she was like america's lesbian. So i think right. I think in probably the whole the talk show probably had a lot to do with that because it was like see. I'm a lesbian. But i'm doing fun dances. And i'm still an awkward white woman and you can relate to me just because i'm gay doesn't mean anything bought a by like but i just think i don't know i think ellen degeneres is going to go sit down somewhere and write some material. That is more rob in what she has done before. I agree to.

Ellen Degeneres Allen Alan America Tiffany Negroes Black HO Elon Otto
Fresh update on "otto" discussed on Murph and Mac

Murph and Mac

01:32 min | 8 hrs ago

Fresh update on "otto" discussed on Murph and Mac

"Hyped for the game. Obviously, their championship pedigree with him on a step and coast Coast. Kirs, you know a really impressed with their defensive performance Throughout the course of the year, they got the top five defense and I'll see steps steps playing out of this world. So it's gonna be a big challenge. But when our guys are up to all right, Frank, Thank you for that boilerplate. Quote. They're very good. By the way. Three windows is how you're not sending Hunter Pence to greet the aliens with welcoming, beloved like an alien, actually, when you take a look at him, finally, our number one sports story The Giants continue this road trip to Pittsburgh and since the Monday night and Cincinnati sounded like this on the pitch, Flora's drives one too, right? Nasty Otto back looking up out of here. Laura's hits it into the first row on the Giants take the lead. It's three nothing shift is on the pitch swinging a high fly ball to right hit very well. It is outta here. Your strengths Key does it again. It's home run number six and the Giants lead for nothing payoff pitch to do. Bonnie. He drives went into the gap in left center field. It's a very well and it is out of here. So the little guy knocks without the park and it's five to nothing. And that's his second of the year is going to go to camp this time, and here comes slider swung on and popped up Shadow center incomes, Slater and he's got it on. I said Slater, but that was dug. Anyway, the Giants win the ball game 6 to 3..

Slater Frank Laura Pittsburgh Monday Night Nasty Otto Bonnie 3 Hunter Pence Three Windows Flora 6 Second Kirs Three Giants First Row Shadow Cincinnati Number Six
Fresh "Otto" from CBS Sports Radio

CBS Sports Radio

01:33 min | 17 hrs ago

Fresh "Otto" from CBS Sports Radio

"Custody. Otto's in right for you. So here comes Mike Hawkman to lead off of the Giants. Temperature in the sixties at Game time, there was a chance of rain. In fact, when the Giants were in Pittsburgh yesterday. This forecast for today in Cincinnati, call for a lot of rain. But there were some showers this morning. Here's a curveball from great and that is low for ball one. 69 years seven. Now they're announcing 69 degrees as the game time temperature much warmer than With the weather Channel APP is recording. There is a Fastball to high 94 Mile an hour fastball, so the county's one ball and one strike to Mike Hawkman. Hartman, who in yesterday's game, had a couple of walks and scored a couple of runs for the Giants. Fastball that is alone. So the cat is three and out to Mike Hawkman. Outfield pretty much straight away the infield slightly shaded to claim to the poolside. Fastball right down the heart of the plate for a called Strike Games. Time in temps, sponsored by UCSF Health Redefining Possible 6 41 Eastern daylight time. Time of the first pitch 69 degrees officially Fastball, and that's too high ball for me. So Sonny Gray issues a walk to talk man to start the game. Talk minutes now walked 11 times this year,.

Mike Hawkman Sonny Gray Cincinnati 69 Degrees Giants Hartman Today Yesterday 11 Times Pittsburgh 69 Years Sixties This Morning One Ball One Strike 94 Mile An Hour This Year Strike Games First Pitch Otto
Altuve's birthday HR answers boos, Astros top Torres, Yanks

AP News Radio

00:32 sec | Last week

Altuve's birthday HR answers boos, Astros top Torres, Yanks

"Jose out to they gave himself a thirty first birthday present by slamming a go ahead three run Homer in the eighth inning of the Astros seven four win over the Yankees Chad green inherited a three two lead starting the eighth inning before putting the first two runners on base out to base blast helped the Astros avoid a three game sweep your Donna Alvarez hit a pair of solo homers off Yankees starter Gerrit Cole and Martino but Otto added a two run blast tonight Yankees infielder Gleyber Torres scored from first base on an infield single but new York's five game winning streak ended I'm the ferry

Chad Green Astros Yankees Donna Alvarez Jose Homer Gerrit Cole Gleyber Torres Martino Otto New York
"otto" Discussed on The Dollop with Dave Anthony and Gareth Reynolds

The Dollop with Dave Anthony and Gareth Reynolds

05:18 min | Last month

"otto" Discussed on The Dollop with Dave Anthony and Gareth Reynolds

"They're the reason why our political situation is a lot like it is is because of the ability to feel the charm of celebrity bill. Clinton's your friend. He would never you. You know like frog me. Well sorry wrong example i. I'm excited to buddy slipping out of my shorts here a little bit. Yep same you come the. Ymca often you. Let's get those star showers nice and steamy shower it up rub. Some bill barham allowed. Yeah i don't know it's weird. Though obama became a celebrity. Yeah that's what they do. I mean it's what allowed in my opinion. It's allowed people to just not really care that he can prosecute any of the people who destroyed our economy like know. They're just like yeah he's he's our guy you know. They're not celebrities. They're politicians now. Treat it as such there are no. There's no there is absolutely no politician. That should not be criticized. That's their job. You're supposed to go after what you want. Yeah and again. It's like it's it's the same shit. i mean. It takes tons of money from corporations and then select looking out for you. It's like why would you. I mean honestly like why would you. I understand your decision. You are getting money funneled into your campaign from places that have more money than i do. So of course. You're going to go with them. I mean corporations considered people and then you get people who do badly. Like the the senator from arizona who is just an idiot this one. What's her name. cinema cinema. She's trying so hard to create a sort of celebrity thing around her and she's just more is like watching person. Try to stand. It's just like stopped trying. You're hurting yourself. You're getting hurt. You keep falling and hurting yourself. Not everyone gets to do it. I mean you do have a charm like an obama but yeah oh yeah. Oh yeah ted. Ted cruz ted cruz example. Yeah but now you look at him and he looks he. Looks like a guy who rolled out of a duck hunting. Oh yeah thing. He his hairs the way. It is the clothes he's wearing. It is such a good old boy image thing he's creating. it's got like an all scott like an old confederate feel to it and it's just like wow dude you're really like it almost. It's almost like he went to a stylist like it's really. It was too much the other day when he went on the floor and he was protesting a bill through duck..

Clinton arizona obama Ted cruz ted cruz ted tons of money
"otto" Discussed on The Dollop with Dave Anthony and Gareth Reynolds

The Dollop with Dave Anthony and Gareth Reynolds

04:58 min | Last month

"otto" Discussed on The Dollop with Dave Anthony and Gareth Reynolds

"Inmates had observed would in conversation with houck's on several occasions and the guard appeared very friendly towards him. Okay so that guard and his brother who was also guard were immediately fired. A reward of two hundred fifty dollars would put up for autos capture one reporter noted. He escaped quote two days ahead of his scheduled established last year. So they literally say say time shave as take extra days vacation this year and is it just mirror. Has the reward gone down it. Well the first reward was for murdered. This is just escape. Okay right right so it has gone down right. The writer of one article compared auto houdini people reported seeing auto oliver north carolina and southern virginia. So people are just calling in now saying they're everywhere right. It's amazing that he's this public. Also when you can escape so easily you would kind of be like i'm going to live my life. Yeah and then the the best thing. I didn't write it up. But the best thing was this do just came through town and he was just like a like maybe a hobo or something and he had one hand an olympic so he he was dead at a creek. Get water something and all of a sudden. There's fifty cops around him. If your auto you employ that guy you come with me. Yeah i yeah yeah. We had like body doubles locations. Cops close in on one man. But then discovered he quote displayed good hands and an entire absence of gold plated. Molars tana false sightings cops just busy chasing down just fall asleep. People were interviewed all now. The papers just like asking people. What do you think auto like. It's just it's the thing you're talking about poems are written about him. Publishing papers songs auto wrote a letter to the greensboro daily news and had been sent from ashland kentucky and he offered to surrender if the governor would change his sentence to a chain gang and assure him he would be treated human and that quote i would not get the torturing so feels like he's now okay so it feels like now. He's kind of grasped how media is obsessed with him and how he can kind of maybe manipulated a little bit and so he's saying i'll do the hard labor i just don't wanna be alone with these enforcers. Who are torturing me essentially right so that makes people go like oh gosh. She's further.

last year southern virginia fifty cops north carolina two hundred fifty dollars two days this year first reward one article ashland one man one reporter houdini one hand olympic greensboro houck kentucky oliver
"otto" Discussed on The Dollop with Dave Anthony and Gareth Reynolds

The Dollop with Dave Anthony and Gareth Reynolds

04:44 min | Last month

"otto" Discussed on The Dollop with Dave Anthony and Gareth Reynolds

"On november nineteenth. He was cornered by cops. Arrested and brought back into town on a train and a local reporter described the scene when they took them off the train in greensboro quote. It looked like a funeral party to ensure would would not make a break. The officers rigged a rope around his neck and then facet to a not around his arms so any swift movement was causing to choke so they i mean they're they're treating him like a wild animal. Yes there are two things just so paranoid. Okay they've been having. They've been hurt before by the greensboro daily news quote. He is neat and clean looking decided blonde with big blue eyes. What is happening in this story with him. We don't care about his dynamite. He's got lovely hair. A whisper of london. It looks like he's been at the beach for a couple of days. Sandy not too bad. Blue is that slightly from his head he has high and prominent cheekbones and they and his eyes are the most striking features on his face. He wear a blue suit tap shoes. Low car and s- s off tap tap shoes. He warned tap shoes. That is the best tick tick adding do it tick tick tick amazon Not guilty to conducting. I mean just walking the city attached to tick you like who. Is that guy who we hear you. So he is found guilty of second degree murder and given a thirty year. Prison sentence okay. Pretty big spoke to reporters quote. Maybe if my record had not been against me. I might have got manslaughter but the verdict is just about what i expected. I'm going to try and show the people of north carolina. I can be a decent man if they think they can give me another chance but if they don't think so all deserve the whole time k. Resignation share autos. Long sentence made people think the cops have been out to get him. A lot of people bought his story that he didn't mean to kill. The guy was just beating him in the head and then shot. I don't mean to kill him was him with a gun sas supposed to know it's going to go all can a man the beat another man with a gun. No more without getting come on. I was merely the gun was a club that fired states. Come into up. Man beat a man with a buddy of his gun. The lawyer i mean. That's what i that's what i think when like watching like the george floyd i'm like how could someone represent you don't mean to be a lawyer to be like to represent like derek. Chauvin it's just crazy but like in this situation to just be like this gentleman. The gun beat. Mac client just like there's not a lot you can really do. Much prints are on the gun..

november nineteenth north carolina amazon george floyd london thirty year Chauvin two things second degree derek Mac greensboro
"otto" Discussed on The Dollop with Dave Anthony and Gareth Reynolds

The Dollop with Dave Anthony and Gareth Reynolds

05:44 min | Last month

"otto" Discussed on The Dollop with Dave Anthony and Gareth Reynolds

"But he escapes outta here. Goes back home but was arrested at his mother's house and sent back to tennessee. Okay eleven months later. He's been jailed for eleven months and then he hides in a dry goods box to get carded out of the prison. And it works. He escapes jared there. Make sure there's nothing moist now. Fan met in boston. Push your own app. He didn't make it he. He didn't make it till the next morning because they had bloodhounds on his tail. She's i mean this is this is. It's really checking like if i picture old taibbi police stuff. It's just checking every box every box. So they have a guard bringing him back on a train and he knocks out the guard. When the train gets to a station he runs through the crowd. And he gets into the caboose and puts on overalls and rubs oil oliver's face and then joins in the chase of guys chasing him. I love say separated when we go to kill him all right. Hey where's your hand. Mr. don't you worry about my hand back token about this other fellow when we find it what we gotta do to him up data. We go to make a lesson outta here. I hate pieces this shit like this. They make me stick knocking out. Police officers all they're trying to do is good made sure they're kind of incompetent when it comes to the back of establishments but outside of that i take a police officer headache. Day over any other rube. Now we're going to make an example. Who fired up You really limping. Yeah dad little bit of a lab. What that's tirelessly search. It'll give you that you got something you want to say to me boy. You're about to stay there and accused me a bad hand. Well you may as well go to hale high eight am. I ain't never been ham. Although i do respect a lot of what i read about..

eleven months boston tennessee eleven months later next morning taibbi am every box hale high eight
"otto" Discussed on The Dollop with Dave Anthony and Gareth Reynolds

The Dollop with Dave Anthony and Gareth Reynolds

05:02 min | Last month

"otto" Discussed on The Dollop with Dave Anthony and Gareth Reynolds

"Live in america has younger is. Your brother is now part of the duo stealing cars on september twenty eighth bob was caught by a posse. Bob out of the picture auto steals a buick and heads for tennessee. And then he's there for a little while he gets into a shooting incident in a pool room but he managed to get off on self defense and then he heads to welch west. Virginia where he started working making it hauling. Moonshine good money. He's making like three thousand a month so while he's there he gets married to a fifteen year old girl. He's friends with the father and apparently he's like yeah go ahead. That's not going to help you moonshine. Stereotypes eighty seven june nineteen seventeen. He goes back to north carolina to show off his beautiful young bride to the family. And i will this roughly. Now god it's nineteen eighteen. So he's twenty. That's all i need to here. Yeah he's in his twenties early twenties. Twenty three okay. All right nice nice creepy. It is nicely creepy isn't it yep. So he goes to the families how he's is probably his mom's house and cops five out there. They surround the house but he manages to slip out back this this before. The police knew that houses had backs. i i should. i should do about this. A famous famous manhunt one of the biggest manhunts. When they were just starting to come up with the fbi dillinger. One of those guys and they they show up to like this lodger boarding house and they all just rounded out front and they all leave out the back. It's crazy. i mean it's absurd. It's like they're like how the hell is he doing it this houdini character. Where's he going. It's magic magic men. it's magical we must with tonight. We get our heads together and we try to figure out how he's doing this. My theory is he's going through the center of the earth. If you if you could explain to me a lob man many years how a back door works y catch so many of these fellas. I would get many of these villas and there's a guy in the back.

north carolina twenties tonight america twenty Virginia Twenty three five september twenty eighth bob Bob three thousand a month earth nineteen eighteen fifteen year old houdini One of those guys tennessee june nineteen one of the biggest manhunts
"otto" Discussed on The Dollop with Dave Anthony and Gareth Reynolds

The Dollop with Dave Anthony and Gareth Reynolds

05:46 min | Last month

"otto" Discussed on The Dollop with Dave Anthony and Gareth Reynolds

"It yet. Just go home good. We don't need you around your feel like it's really not going to build unity between me and the boys now. We don't want you to build between the boy. That's the thing we're trying to avoid as we don't want you to build unity between me. Swing a pickaxe yet. I look much. But i got a lot of bigger. I'm just gonna judah just head on out thank you for coming to the chenggong. I'll go to the far right up at the very end of the chain gang. That's not a bad idea. Yeah yeah why. Don't you do that thang. Well tired where we been working working all the chang jiang work where all men working together gang. Yes so you just started so you haven't working little guys an enjoying the song because you all day literally. Just oh there. So we wept at work for about five. That's tired h thirties. Who retired chang. So the whole chain gang singing thing kind of just like listen this asshole. Try to tell us what to do. We don't do the jerk office. Try to tell us well. We're jerk offense to try. We're real posse hate you. And i'm going to extend your time on the chain gang by three months going to be best friends we workout. Chang sometimes just thing about eating this leaden gun and a lot of. It's because people like you. Doug dr turn mr so he the guy let's go essentially got punishment again for for trying bring the. He's too young to punish. Yeah so he goes right back to stealing guns. He gets arrested again. Judges very sympathies. New judges very sympathetic He didn't mean to do it. Well look at look on. This boy's is boy neighborhood. Evil his head. Never seen such cute young lad in my courtroom before thickness chaffetz guarantee of his door..

three months about five Chang chenggong thirties jiang
"otto" Discussed on The Dollop with Dave Anthony and Gareth Reynolds

The Dollop with Dave Anthony and Gareth Reynolds

04:53 min | Last month

"otto" Discussed on The Dollop with Dave Anthony and Gareth Reynolds

"May. Thirty first in hawaii may eighteen ninety four year of our lord. Jesus christ sure other would was born in eastern wilkes county north carolina okay. What the midwife who delivered him saw problem with his feet and put splints on them quote to prevent them from turning inward right away do split he came out. You got baby splits yeah. He came out and splints on immediately. Yeah i think it's been a baby. I've never had I i'm not around a lot of babies coming out but it sounds like it's a midway. I trust a midwife over. But it's yeah but it's also just like right. I mean like babies come out looking good toward and crazy right away. I mean i'd be splitting them all. Well you're used to. How you a baby like god. That's horrible and that's how they're supposed to look but then there's ones that come out and look like normal horrible baby but then also they have turned foot or something like that should be facing. I think what we've learned so far. You better midwife than me. Seems like i'm the panicker you're you get it. I get it. I guess baby comes out. You wiped the baby off. Then you go grab the host. The yard you just spray down the whole area and it's part of a new show. We should pitch soon called mid dave. Yep oh yeah. I'm here for baby. Baby delivery advice. I i always have people knew that but thinking about doing youtube show about that do not. His foot was clubbed. Still after even split and he would always have a limp. Okay family farmers maybe six. He was listed on the census as auto at ut. Oh i assume someone. I as dad's chevy better.

hawaii Jesus christ youtube may eastern wilkes county Thirty first six May eighteen ninety four year north carolina babies
"otto" Discussed on The Dollop with Dave Anthony and Gareth Reynolds

The Dollop with Dave Anthony and Gareth Reynolds

03:35 min | Last month

"otto" Discussed on The Dollop with Dave Anthony and Gareth Reynolds

"Anthony read a story from american history to me. Amigo gareth reynolds. Who has no idea what the topic will be about. Santo about that part was i was hoping it was one of those things where the spanish would kind of come to me and i don't think that's how languages work i don't think they just come. I will. I will tell you from previous experience that that's not how it works. I just actually went through a situation. Where i was trying to podcast intro and i was thinking that it was gonna come to me and it just wouldn't so yeah it's it's it it truly you gotta and i think this is where everybody especially the kids. You got to put the work in if you're going to get the another language exactly. There's learning is a key. Part of it is what we're both kind of saying. And that's a message from the podcast. That's a united on that. All right. that's just my my understanding of languages as it takes years to learn them. That's what i'm saying. no. I'm saying that we're both so that is the message from the show but just understanding what you did right here was hoping that another language would come to you if you just thought about it and tried it. I think that's gonna be great for our lessons to say. Don't waste your time in that department. This was a very it was a terrible experiment. Joost soy tortuga no tanto and called the jam pouch the forget about guy dave okay gary lennon scary and this is not gonna come to go on a five part could now hit him with. The puppy resent sip. Or that's like about my friend owner gareth..

Anthony gareth Amigo gareth reynolds gary lennon both american Santo one of those things five part Joost spanish
U.S. Consumer Confidence Surges to One-Year High

Marketplace Minute

00:16 sec | Last month

U.S. Consumer Confidence Surges to One-Year High

"A measure of consumer confidence hit its highest level in a year. The conference board which puts out the measure says more people are planning on making big ticket purchases including homes and otto's on the other hand. The report found that people are concerned about rising gas. Prices

Otto
Trade Deadline Reaction with NBA Front Office Insider for ESPN, Bobby Marks

The Lowe Post

02:30 min | Last month

Trade Deadline Reaction with NBA Front Office Insider for ESPN, Bobby Marks

"Are doing a trade deadline. Wrap up with the one and only bobby marks who is in bristol. I forget what bristol even looks like. Let's wrap up. What turned out to be. I guess kind of sneaky fun. Trade deadline bobby. How are you. I'm good zach. How are you yeah. We We had nothing besides fianna cap'n galley in money. Money saving deal for the clips would actually help them get guess The rondo deal game a little bit of money and then we had the two. Am the lawn. Reiko cory joseph swapped and i slept right through that were stuck right through the delong. Something was telling me. Wake up. Wake up and i woke up and i saw and i was like i said one of these videos. I've been doing. It wasn't like the bias. Harris remember tobias harris straight from a couple years ago where it happened like in the middle of the night and i woke up at like six. And i'm like oh my god. What just happened here. Like i missed it I woke up. I talked about it a little bit. And then i had a hard time back asleep. Well the headliner didn't get traded. And that's kyle lowry but let's start with the orlando magic. Because i can no longer make fun to them by calling them the orlando inertia because they traded everyone and they are going to be so bad when they next play which could be tonight. I don't even know else playing tonight that they are obviously positioning themselves. To go full rebuild. Bow and get a shot at kate cunningham. Whoever's next seat next year skate cunningham their biggest deal let's start with butchnevich to chicago for twenty twenty one. I at twenty twenty three. I and wendell carter junior and otto porter. What were your thoughts on that. Because i didn't think i was gonna get traded. And i thought if he did the price would be even higher than this and i was skeptical that anyone would offer them that kind of pressure i did. I didn't think a deal what happened. What do you think about this from either either perspective. I don't care which one to start with. Yeah i mean. I think for I thought it was going to be three ones. If you're going to get in the game for a reverse first rounder. Three first rounders. I thought that's what it was. And i guess if you're landau i guess you're quite that the wendel carter junior the pickup equates to a first round although he's got two years you know he's going into an extension year so it's not like you get clean slate with him.

Bobby Marks Reiko Cory Joseph Tobias Harris Kate Cunningham Zach Orlando Bristol Kyle Lowry Bobby Wendell Carter Otto Porter Harris Cunningham Chicago Wendel Carter Landau
Despair and disparities: covid-19 consumes Brazil

The Economist: The Intelligence

07:46 min | 2 months ago

Despair and disparities: covid-19 consumes Brazil

"Has just gone through. Its deadliest week of the pandemic daily fatalities. Hit a record level of more than nine thousand nine hundred on thursday bringing the total number of deaths to more than two hundred sixty five thousand and cases to more than eleven million. The discovery of contagious new corona virus variant in the amazon region has fueled the brutal second wave but the government's response has been slow and patchy and has failed to contain the spread. The sense that you get living here is sad and almost fatalistic. It feels like this country has given up on dealing with this pandemic in a responsible life saving way. Many months ago ceremonies. Lynn is brazil correspondent. Even though we are all seeing that the cases are higher than they've ever been. The hospitals are full in nearly every part of the country. The restrictions that have been introduced feel completely out of tune with that reality. They've been late. they've been minimal. And some cities are slightly stricter than others. But i think the feeling that most brazilians have is that covert is just going to happen. Overtake this country like a tidal wave. And there's nothing that anyone can do about it and the concern right now. Is that the. The health system is buckling under the weight. Right so the difference between this second wave compared to the first wave is that for the first several months of the pandemic. The virus was sort of ping-pong between different brazilian states whereas now most of the country's twenty six states are seeing their hospitals at or near capacity. And there's really a limited ability to sort of transfer patients or doctors or supplies between the different states recently. The health secretary of the amazonian state of honea mentioned this desperation in a video aimed at those who weren't taking the current virus seriously is typical seymour's known them was laid to swap mine. Nothing lead today but also by a sweatshirt but he says we have no icu. Beds for your mother your father for your aunt. It doesn't matter if you're rich. Poor young old. We simply have no. Icu beds available and those rising in numbers. Those strains that are coming about. Is that down two new variants of the viruses. That the big problem here. That's definitely part of the story. They found this new variant in the amazonian city of manaus late last year. It's called p. One and recent studies show that. It's one point four to two point two times more contagious than other versions of the virus. And the really scary thing is that it looks like it is much more capable of reinfecting people who have already been infected. That might be why people in manaus were hit really badly by second wave. Even though some studies suggest that as many as three quarters of the population had been infected in the first wave the other thing that seems really scary is that it looks like this. Current wave is affecting young people and much higher numbers than before so this variant is clearly causing some of the trouble. But you also say that. There's a certain sense of fatalism. That's contributing here. I mean how much does that have to do with the leadership. We talked a lot before. About how president of brush off the pandemic bolsonaro hasn't changed a bit at a recent event. He told brazilians to stop whining about the krona virus. Sugar jimmy because the club and said how long are you going to keep crying about it. But it's not just him the first wave you saw politicians trying to take a different stance and even going to the supreme court to fight for their right to shut things down even though the president disagreed this time it's different. Brazil has been seeing cases creep up for months now and it's only in the past few weeks. That mayors and governors have really started implementing serious restrictions closing businesses fulltime rather than. Just say from eleven pm to five. Am which is what we had in sao paulo for a few weeks. And what do the brazilian people think about. The the patchy measures have been put into place. I think there's a real split. You definitely see the outrage that brazilians especially the more educated and richard brazilian have had from the beginning. But there's also a real feeling among the middle class and the working class that putting in more restrictions is going to do more harm than good because the economic situation is so bad. Unemployment has barely come down from its high of around fourteen percent and the emergency cash payments. The federal government paid people for nine months last year. Have now been cut off to. Millions of people were basically plunged into poverty when the clock struck midnight on december. Thirty first congress is trying to push past a smaller version of the cash payments. But it's going to take some time but certainly one path out of all of these kinds of trade offs is vaccination. How is the country's program of of inoculation going. It's had a frustratingly slow start. Brazil has administered vaccines to only about three percent of its population that's way behind neighboring countries. Like she lay here in brazil. Most of the problem is that boston otto is anti vaccines and many months ago. When he had from different vaccine companies including some that were doing trials here in brazil he kicked the can down the road and signed with astra zeneca but that one provider hasn't been enough now here in sao paulo. The governor signed a deal with the sign of that company to produce its corona vac vaccine in the federal government. Sort of found itself forced to make a deal as well but they've also been all sorts of supply bottlenecks and problems with distribution and real kind of ineffectiveness by on the part of the national health ministry. Which is overseeing this whole effort. It sounds like a fairly bleak picture all around but it's not just a problem for brazil if these new variants in particular are allowed to run rampant. That's true and it's really scary. The longer the disease is left to fester. In in countries like brazil greater chance that new variants will start to emerge that reduced the effectiveness of covid nineteen vaccines elsewhere in the world posing a threat to nations that have already immunized their populations in a lot of these countries. That are still really struggling with the virus. You see their leaders just begging for the rest of the world to send them vaccine so that they can vaccinate people as quick as possible so far. We haven't seen that from bolsonaro he's been really against vaccines but just in the past few weeks. It looks like maybe he's starting to change his tune. He signed a deal with pfizer and he suggested in a recent interview that he himself might get vaccinated. So i guess the hope is relieved. The bolsonaro will understand that vaccinating people is essential to the economic recovery. That he's been prioritizing from the start and that that combined with attention from the rest of the world in getting vaccines to brazil will start to allow brazil to get a handle on something that feels right now like. It's totally out of control very much for your time sarah. Thank you jason

Manaus Honea Brazil Sugar Jimmy Richard Brazilian Lynn Sao Paulo Seymour Amazon Astra Zeneca Federal Government National Health Ministry Supreme Court Congress Boston Bolsonaro Pfizer
Illinois lawmaker seeks ban of Grand Theft Auto game following rise in carjackings

Dana Loesch

01:29 min | 3 months ago

Illinois lawmaker seeks ban of Grand Theft Auto game following rise in carjackings

"Comes from Fox five and Washington, D. C. Illinois lawmakers want to ban Grand Theft Auto amid spike in Carjackings Uh, I don't know it pour all the bourbon you want. That is as ridiculous that's government. End of less. Thank you. Cleveland Good nights. This is a real this is true. State represented Marcus Evans. Creating legislation. To amend the 2012 law preventing some great games including Grant death, Otto From being sold to Children in Illinois. Former police officer was car jacked in his own driveway in the south suburbs. Wow, that Z pretty rough. These guys feel like they're going to get right back out, especially since they are juveniles. Get, according to a DePaul university, a psychology professor. The game could be the cause of the violence. But it's not the only factor. Well, thank goodness. It's the video game. We're still doing this. We're still blaming the video game, okay? What? How many things are are we now going to get into Where is the personal responsibilities factor in all of these things? All the problems Illinois has.

Illinois Marcus Evans FOX Cleveland Washington Otto Depaul University
Brazil's President Downplays Pandemic Despite Rising Cases In His Hometown

Weekend Edition Sunday

06:24 min | 5 months ago

Brazil's President Downplays Pandemic Despite Rising Cases In His Hometown

"Acknowledges this or not. President Trump leaves office next month with an awful statistic attached to the last year of his administration. The number of Americans who have died from the coronavirus The U. S. Has led the world for months in covert 19 deaths behind the U. S. Is Brazil, but so far the pandemic has done little damage to the standing of its president. Joy your Bolson Aro. The latest coronavirus hot spot is his hometown Rio. Deja, narrow. NPR's Philip Reeves is there and sends this report. Wear outside a bar below the Sugarloaf Mountain. Thies drinkers don't seem worried by this city's new surgeon deaths or the growing waiting list for beds. Hundreds of mass close people crowd together. The only bubbles here are in beer glasses when the pandemic began, most people in this part of Rio tried to follow the rules. Closed businesses and stayed home. Medical experts approved Brazil's president president did did not not broke broke apart apart point point My My sure sure Jacob Jacob Ostinato Ostinato downplayed downplayed the the Corona Corona virus virus from from the the start. start. His His chest chest ized ized governors governors and and mayors mayors for closing local economies. He surged Brazilians not to be cities. Everyone has to die sometime, he says. When Brazil's death count rose above 5000 back in April. Also not a was asked to comment. Okay, let me get prosecuted so well, the president replied. Sorry. What you want me to do about it? That number is now above 190,000 Thea. Other day, Boss Narrow, addressed a packed crowd of supporters. He didn't wear a mask, nor did most of them. In Rio shot A Marcus watches both scenarios conduct with alarm that's led you those are the epitome it off of there, like a market is a community leader here in seduction, today's or city of God, It's one of Rio's many for Bella's about 1.5 million people live in them, They're often pour over crowded neighborhoods neglected by government. When covert arrived, Marcus and his fellow activists decided the city of God must protect itself. Those introducing the six inch think faith. We launched the social media information campaign, explains Marcus. He handed out masks and went door to door urging residents to socially distance. You said back out of the temple market, says his mission became harder after Boston Otto called the Corona virus a little flu. Both Granados stands since the beginning, absolutely pushed people to think there was nothing going on. It wasn't serious or they didn't need to do anything that I said Williamson is from catalytic communities along profit that supports community development in for Bella's. She says, when someone who must work to survive here's both scenarios messaging. She just thinks, okay, well, if the direction from the top is that there's no big deal, then I can go back to business. As usual, Williamson's organization runs a project tracking covert cases in the favelas. It's long, several 1000 deaths, but condition too tough and getting reliable data is difficult. I don't trust the numbers at all. Just don't the true picture is likely, much worse. Got it inspects units downtown toe. Williamson recently chaired an online conference in which people from for Bella's talked about what they're going through now, my only a disguise his name look a sugar, which our people are dying at home because they can't get healthcare, says A woman called Anna Paulus. Alice Ela says, C'mon, I opened is seen amiable, another handle a local service. Says she lost five friends to covet in one week. When both scenario took office, many commentators derided him as a know nothing. Retired Army captain from the far right, that's wrong, says Marcus Nobly, He's Glover. Of course, his clever he's clever in his cunning. Nobody has written a book about bullshit, narrow and is one of his faces critics. Let's get rid off this discourse that postal nado is dumb that both tomorrow is crazy. He doesn't strategy. You think that he's stupid? He's not both the knowledge popularity has actually gone up since the pandemic began. He made a bet that despite the thousands of deaths at the end of it, Brazilians will care about their jobs. All of the stone cool is professor of international relations at the Should Tulio Vargas Foundation in Sao Paulo, Even though his strategy can be considered to be morally reprehensible, you know, from an electoral point of view. It's actually quite effective. Both scenarios. Unexpected popularity also has a lot to do with money worried about soaring unemployment, his government's funding the most costly welfare program in Brazil's history. It's making emergency payments to 65 million of the poorest Brazilians. Well, God, by shown on that plan was in fact approved by Congress. Yet the president's getting the credit while other side's going there, Jenny, Although President Chinese there was another, it was a brilliant idea says You've done the same thing. Silver sells coconuts and cocktails. On a beach in Rio called Prive Amillia. He was stuck at home for several months because his beach was closed by Cove it when we do we've got step Gordon Carter. That was really tough, He says. Emergency payments about $120 a month. Helped his family survive that silver used to be a leftist, You know? God, I miss you both on audio. If we my everyday my Jamie. He says that the next election, both Sanada gets his boat real dish. Nero is now gearing up for the new year in an unusually subdued mood. Normally, there's this to look forward to a massive New Year's Eve party for more than a million people on Copacabana beach that's canceled. Most here are waiting for the vaccine. Even that is a source of friction with boss and arrow. Medical experts want as many Brazilians as possible to be vaccinated. The president's critics say he seems to want the opposite. Bull scenario has said mandatory vaccinations off a dog's, which you will know what time I was here, he says. He won't be having one it punch it up. And that's that.

Brazil RIO President Trump Philip Reeves Jacob Jacob Ostinato Ostinato Boss Narrow Williamson Sugarloaf Mountain Granados Marcus Bella Anna Paulus Alice Ela NPR Thea U. Retired Army Marcus Nobly Should Tulio Vargas Foundation
Top Iranian nuclear scientist assassinated

90.3 KAZU Programming

00:26 sec | 6 months ago

Top Iranian nuclear scientist assassinated

"On Iranian scientists who authorities of the West Believe was the leader of the Islamic Republic's disbanded military nuclear program has been killed in a targeted ambush on the outskirts of Tehran wants foreign investors saying the killing of motion, Aqazadeh appears to bear what he calls serious indications of an Israeli role, though he did not elaborate. Israel declined immediate comment. Running state TV, says Fockers. Otto was attacked by armed terrorist elements. This is NPR.

Aqazadeh Tehran Israel Otto NPR
Los Angeles Rams Hold Off Brady, Bucs Behind Goff’s 3 TDs

Skip and Shannon: Undisputed

04:51 min | 6 months ago

Los Angeles Rams Hold Off Brady, Bucs Behind Goff’s 3 TDs

"Okay skip. We're going to get through this today. Let's talk about what we saw last night. The rams did beat the buccaneers last night. Twenty seven twenty four despite rushing for less than two yards per carry jared goff picked apart tampa secondary for three hundred seventy six yards and three touchdowns including over one hundred yards to both robert woods and cooper kupp. Meanwhile tom brady finished with two hundred sixteen passing yards on season low five yards per attempt and also threw two interceptions including one on the bucks. Final drive when they had a chance to tie or take the lead the game the forty three year old quarterback brady his third loss in prime time. This season shannon. How much was tom brady to blame last night. A lot of the half out of ten. Don't put this in primetime. Tom brady played more prime time games. Nine super bowl is that prime time thirteen. Afc championship game. Is that prime time. All the playoff game. Don't put that in prime time. Tom brady have played bad. It's as simple as their tom. Brady has not been good. This year needs played here. Well he played good if he hasn't put a game together No our young watched game at carolina just a week ago. Like virtuoso masterpiece when comprehend. Please just let me have my moment. just let me by moment. Twenty two incompletions. Wow if that good you thought about forty eight times you have slightly more than two hundred sixteen to one dollars that good. Goodbye it now. This what we hear brady was inaccurate all night last night on deep balls. Oh for six with two interceptions on throws twenty yards downfield skip bayless and pro football focus. Se tom brady's doing great during the ball down the field the last four gave. He's one for twenty. Throw twenty yards down the field with three interceptions. Now here the stat that somebody. I don't know who came up with this. That they call it a. He leaves the league you this. Tom brady leads. The league in a twenty yard throws sixty me lead to leave but he's twenty. Seven and completion percentage four and affection which third most. What was the final score. Time killed. kim. I will let you have. It was sixty five to nothing more. If i'm not janey why. What did i predict the finals. Go be laughing yesterday. you have no idea. I don't remember shad have really did better. Staleness only got one pro. Football focus also came all stay at near distance. It doesn't matter if the ball is complete or incomplete. Otto completion matter. It doesn't matter because don because you've been telling me all he does is drink and done his backs. Skip good if i thought about georgia. Being the hall of fame. Completions didn't battle. All i was only refuting your point. He's just a dink dunker now. That's what said he's got no arm. He's a noodle arm spaghetti white house. Completion percentage down the field who leads the whole. Nfl in air distance. And i think he just pulled away. Last night beth as consequential stat you saw him throwing the ball down the field lighting and dunk last night when he didn't think and how do look when did he deacon dunk. I think conductor for net three times that he dropped all three of them note that he had antonio brown hair thirteen target eight catches for fifty seven yards seven point one of material. He had ten targets. The chris with seven yards seven catches for fifty three yards. Dak seven point six. He had one receiver that had a double digit average own completion. You he deacon and dunkin what was the final score deferrals court with tom brady lost and the rams one. That's what jared goff. First of all jerry gulf in charm paid like the gave this thing away because they got ultra conservative and they got careless the football but somebody makes go but scale you look off last night. There's no way around it. I don't want to hear anything about the defense. Because i told you everybody based everything because if you wash tampa bay everybody wanted to annoy them after. They did with green bay. And i'll say if you watch that defense. I say the into who said i didn't get to us. They can be hey. I think they're very undisciplined. I out of position a lot more. You think but because that pass rush covers up but they don't get home they can be had. Whoa that they're coming. They could be had skilled. Tom brady he got happy feet. Another one get here and they gotta run. They really do a whole lot but they got around him a little bit and he had had like polka polka. Like do the poco.

Tom Brady Jared Goff Cooper Kupp Robert Woods Rams Buccaneers Skip Bayless AFC Tampa Shannon Brady Janey
Coronavirus cases go up, the market goes down

Marketplace with Kai Ryssdal

02:38 min | 7 months ago

Coronavirus cases go up, the market goes down

"Yet things up it's pretty simple. Virus cases are way way higher in way more places. There is no relief package coming probably February at the earliest if at all, if everybody is honest with themselves. And that's it that all spills over into the real economy which the stock market is not thank you very much but it does reflect and so you get a cratering day on Wall Street today all three major indices off three three and a half percent all sectors got clobbered including the reason commercial aviation. We mentioned that because Boeing reported a quarterly loss of four hundred and sixty, six, million dollars this morning planes just aren't selling right now company also said it's GonNa lay off and other seven thousand people. So marketplaces and Euler gets his going with a story about a company that is a big factor in that real economy I was talking about. Boeing said today expects to end next year with around one hundred, thirty, thousand employees. It started twenty twenty with a workforce of one, hundred, sixty, thousand. Richard Otto Lafi as an aviation analyst at -Til Group historically, Boeing's been the world single biggest planemaker and the biggest single exporting manufacturer in the US. So it really isn't needle mover in terms of the broader economy and Sorta like Ge. Boeing has worked to diversify Boeing has a lot of commercial military defense software and engineering programs. It's not just building the. Big Seven, forty, seven jets of old. That's Arthur Wheaton at Cornell University. It's a pretty big corporation and has a huge impact on supply chains. He says there's a vast array of subcontractors in the US and worldwide that produce four and with Boeing. So in demand for Boeing products declines, it's felt by many of Boeing seventeen, thousand suppliers like those who make. Jet Engines and parts for wings keeping my you know these are not just people that are turning wrench. Michael Boyd is an aviation industry consultant in Evergreen Colorado. So it's not like just getting rid of couple of mechanics you're getting rid of some highly trained people that you're going to have to get back eventually when people eventually returned to flying but Richard. APPALACHIA te'o groups as his fear is that manufacturing will soon start feeling the pain of the pandemic like retail and hospitality already have and I think unfortunately, we're bound to see additional production cuts in job losses in the commercial aerospace industry along with other similar losses and other parts of the economy because as the biggest companies go so goes the American economy. I mean dealer for

Boeing Richard Otto Lafi Arthur Wheaton United States Michael Boyd Appalachia Cornell University Evergreen Colorado Consultant Analyst -Til Group
Could Subscription Models Save Hotels?

Business Wars Daily

03:13 min | 7 months ago

Could Subscription Models Save Hotels?

"There's nothing quite like staying in a Nice Hotel and Ashiq, location to make you feel like a VIP. Maybe you prefer staying near the warm sandy beaches of Kabo, San Lucas were being nestled in a bustling Paris Rondi small. If. You're ready to board an airplane takeoff to somewhere far away travel subscription might be just the ticket. Subscription based models have taken over everything from entertainment to clothing purchases. Now, the tourism industry is following suit vacation club Inspir- Otto has reduced the price of it subscription model for twenty five, hundred dollars a month you get your pick of luxury vacation homes, hotels, and resorts all over the world with no other fees. Taxes were nightly rate charges a new six, hundred dollars. A month option gives you access to the company's lodging options, but you also have to pay for the room. Bookings through your inspiration subscription can last up to sixty days but a minimum of seven days is required between a checkout in a new check in so you can't fund your endless vacation on an inspiration subscription, but you can bring guests they just have to pay their own airfare. The company told C. Suite Quarterly magazine that pass holders typically travel every six to eight weeks with an average of four nights per trip. Another company adopting the subscription travel model is amsterdam-based citizen 'em Hotel. The brand isn't targeting jet-setters instead, it's targeting quote freelancers digital nomads in adventurers who love Big City Life, but not big city rent prices. In other words if you're sick of working from home and M.'s Goebel passport gives you access to twenty one hotels in fourteen cities including New York Paris and Amsterdam. For roughly fifteen hundred dollars a month you can stay at any citizen 'em hotel for the month or travel between hotels with a seven night minimum stay at each you also get access to meeting rooms and the living room workspace. So you have some room to move around in in addition the company's corporate subscription plan is about six hundred dollars. Per employee per month, companies get access to meeting rooms and living room workspaces plus each employee gets three overnight stays per month travel media companies skipped called traveled subscriptions a mega trend to watch, but they also face some obstacles I. Obviously, the pandemic people are worried about covid nineteen and travel restrictions are a moving target borders may be open one day and closed the next depending on the viruses spread while the US State Department lifted the travel advisory about international travel the Centers for Disease Control still advises. against. The travel to dozens of countries including most of Europe Canada and Mexico The Wall Street Journal reports, and June survey by the International Air Transport Association found that more than half of people surveyed. Don't plan to get on a plane this year at all. But for those who are ready to start traveling again for work or pleasure subscriptions grant. To enviable destinations in lodgings and tourism companies are hoping their offers are enticing enough. Customers will check it out. And start, making plans to check in. Once again.

Nice Hotel Paris Rondi Kabo Inspir- Otto Ashiq Centers For Disease Control C. Suite Quarterly San Lucas Europe Us State Department New York International Air Transport As Paris Goebel Canada Mexico M. Amsterdam
Dr. Mark Hoffman, Research Associate Professor at the University of Missouri, Kansas City - burst 01

Scientific Sense

44:57 min | 7 months ago

Dr. Mark Hoffman, Research Associate Professor at the University of Missouri, Kansas City - burst 01

"Welcome to the site of accents podcast. Where we explore emerging ideas from signs, policy economics, and technology. My name is Gill eappen. We talk with woods leading academics and experts about the recent research or generally of topical interest. Scientific senses at unstructured conversation with no agenda or preparation. Be Color a wide variety of domains red new discoveries are made. and New Technologies are developed on a daily basis. The most interested in how new Ideas Affect Society? And, help educate the world how to pursue rewarding and enjoyable life rooted in signs logic at inflammation. V seek knowledge without boundaries or constraints and provide unaided content of conversations bit researchers and leaders who low what they do. A companion blog to this podcast can be found at scientific sense dot com. And displayed guest is available on over a dozen platforms and directly at scientific sense. Dot? Net. If you have suggestions for topics, guests at other ideas. Please send up to info at scientific sense dot com. And I can be reached at Gil at eappen Dot Info. Mike yesterday's Dr Mark Hoffman, who is a research associate professor in the University of Minnesota Against City. He is also chief research inflammation officer in the children's Mussa hospital in Kansas City. Kiss research interests include health data delayed indication sharing initialisation Boca Mark. Thank you for inviting me. Absolutely. So I start with one of your papers Kato you need the use by our system implementation in defy date data resource from hundred known athlete off my seasons. So Michio inflicted. Data aggregated for marketable sources provide an important resource for my medical research including digital feel typing. On. Like. Todd beat to from a single organization. Guitar data introduces a number of analysis challengers. So. So you've worked with some augmentation log and in almost all cases be used. Data coming from that single macy's listen primary care behavioral. Or specialty hospitals and I always wondered you know wouldn't be nice. Get a data set. That sort of abrogates data from the radio on-ice. Asians but a lot of different challenges around that. So you wanted to talk a bit about that. I'd be happy to the resource that we've worked with. Is primarily a called health fax data resource. It's been in operation for almost twenty years. And the the the model is that organizations who are. Using these Turner Electronic. Health. Record. Enter into an agreement was turner they agreed to provide data rights to sern are. The identifies the date of affords aggregated into this resource. And certner provides data mapping, which is really critical to this type of work. It also the aggregate the data. And for the past probably six years. Then, they provide the full data set to especially academic contributors who want to do research with that resource. And I've been on both sides of that equation Lead that group during my career there, and then now I have the opportunity to really focus research on that type of data. So before we get into the details smog so e Itar Systems. So this is. Essentially patient records. So he gets dated like demographics out family history, surgical history hats, medications, lab solves it could have physician nodes no snow. So it's it's a combination of a variety of different types of data, right? A couple of things on the examples you gave it includes demographics. Discreet Laboratory results Medication orders. Many vitals so If access the blood pressure and pulse data. It does not include text notes because those can't be. Automatically identified consistently. So. We don't have access currently to TEX notes. Out of an abundance of caution. That his Hobby Stephen, physician writes something down they could use names they could use inflammation that could then point back to their. Patients Makita Perspective been the data's aggregated, the primary issue shoe that date has completely the identified, right? Correct. So. So yeah. So the data that we receive there's eighteen identifiers. Hip requires be removed from data. And those include obvious things like name address email addresses are another example One of the. Things. That is also part of the benefit of working with this particular resource. The. Dates of clinical service are not allowed to be provided under hip. White is done with this resource that allows us to still have a longitudinal view is. For any given patient in the data set the dates are shifted by A. Consistent. Pattern that for any given patient it can be. One two three four five weeks forward or one, two, three, four or five weeks backward. But that preserves things like day of the week effect. So for example, you see -nificant increase in emergency department encounters over weekends and you don't WanNa lose. Visibility to that. but it also allows us to receive. Very, granular early time stamped events in so. We can gain visibility into the time that a blood specimen was collected, and then the time that the result was reported back. And so we're able to do very detailed analyses with this type of resource. Right right and I don't know the audience our market is fragmented. Tau himself e Amorebieta providers out there. and so two issues. One is sort of. Standardization as to how these databases are designed and structured and others even that standardization that the actual collection of the data. In itself is not standardized played. So vk CAV vk potentially lot inability coming from different systems. Correct and that's part of what the paper that you mentioned Evaluates so. Often, night you out in the field in conferences you hear. Comparisons kind of lumping all organizations using one. Vendor lumping all using another together but as you get closer to it, you quickly learn that. It's not even clear. It's within those. Vendor markets. There's variation from organization to organization in how they use the e Hr and so. Because the identities of the. Contributing organizations are blinded to those of us who work with the data. We have to be creative about how we. Infer those implementation details, and so with this paper, we describe a couple of methods that We think move things forward towards that goal. Yes. So I'm not really familiar with that. So you mentioned a couple of things here. One is the the merge network. So this initiative including electric medical records and genomics network and pc off net the national patient, centered clinical research network support. Decentralized analyses that goes disparate systems by distributing standardized quotas to site. So this is a situation where you have multiple systems sort of. Communicating with each other and this net folks at allowing to sort of quickly them In some standardized fashion. So In this type of technology, there's janitorial core models. One is the. Federated or distributed model, the other is a centralized data aggregation. So there are examples including those that are mentioned in the paper where. Queries are pushed to the organization and. They need to do significant work upfront to ensure that there are standardizing their terminologies the same way. And once they do that upfront work than they're able to perform the types of queries that are distributed through those. Federated Networks. With. Okay. So that just one click on so that the police have standardized. So all on the at Josh site, then they have like some sort of a plan slater from from Stan Day squatty do all the data structure. And in many cases, they work through an intermediate technology. that would be. In general, consider it like a data warehouse. And so the queries are running against the production electric. Health record. That has all kinds of implications on patient care where you don't want to slow down performance. By using these intermediaries They can receive queries and then Follow that mapping has occurred. Than, they're able to to run those distributed queries. Okay. And the other model is You know. You say the g through the medical quality, improvement consortium and sooner to the health facts initiative. So this says in Sodas case, for example, in swags. This is essentially picking up data from the right deals, clients and Dan standardizing and centralizing data in a single database is that that is correct. One benefit of that model is that Organizations who for example, may not be academic and don't have the. Resources to do that data mapping themselves by handing out over that task over to the vendor you get a broader diversity of the types of organizations so you can have. A safety net hospitals you can have. Critical access rural hospitals, and other venues of care that are probably under represented in some of those. More academically driven models. And clearly the focus on healthcare about I would imagine applications in pharmaceutical out indeed to right I. Don't know if it s use and bad direction there has been some were performed with these data resources to. Characterize different aspects of medications, and so it does have utility in value. In a variety of. Analytical contexts. I was thinking about you know a lot of randomized clinical trials going on into Kuwait context and One of the issues of dispatch seem development toils that are going on that one could argue the population there are not really well to percents. it may be number by Auditees, men, people that deputy existing conditions. and. So he will serve at my come out of facedly trial. granted might work for the population. Tried it minority have sufficient? more largely. So I wanted this type of well I guess we don't really have an ID there right. So clearly, you don't know who these people are but they could be some clustering type analysis that might be interesting weight from It's very useful for Health Services Research and for outcomes research for you know what I characterize digital phenotype being. they can then guide. More, more formal research. you know you can use this type of resource to. Make sure. You're asking a useful question and make sure that there's likely to be. Enough patients who qualify for given study. Maybe you're working on a clinical trial in your casting your net to narrow you can. Determine that with this type of data resource. And is the eight tiff date who has access to it typically. So for this data resource on, it's through the vendor so. You need to have some level of footprint with them. which is the case with our organization. They're definitely a broadening their strategies. So they're. Gaining access into health systems that aren't exclusively using their electronic health records so. It's exciting to be a part of that that process. and to again work with them to. Analyze the data. I think. To the example you gave a formal randomized trials. In key part of what were growing our research to focus on is because this is real world data. You learn what's happening in practice whether or not it's well aligned with guidelines or formal protocols. And doing that there's many opportunities for near-term interventions that can improve health outcomes simply by. Identifying where providers may be deviating more from. Best Practices in than taking steps through training and education to kind of get them back towards those best practices. This data is a fresh on a daily basis. It's not. It's because it's so large and bulky? Typically we've received it on a quarterly basis in since it's retrospective analysis that's not been a major barrier. But. mechanistically, on onto soon aside is data getting sort of picked up from this system that it's harvested every day and then it's aggregated bundled and distributed on A. On a different timescale. Okay okay. So. From again, going to the, it's our system designed issue and implementation You say many HR systems comprised of more news at specific clinical processes or unit such as Pharmacy Laboratory or surgery talked about that. But then then people implement them this of fashion right they they implement modules by that can be a factor or sometimes they may want. One vendor for their primary electronic health record, but another vendor for their laboratory system. and so that's where you don't see a hundred percent usage of every module and every organization. And detailed number of different you know sort of noise creating issues in data one. This is icy speech over from ICT denied ten. and I don't know history of this but this was supposed to be speech with sometime in twenty fifteen. That's correct. So there is A. You know. There's a date in October of Twenty fifteen where most organizations were expected to have completed that transition. When I see with researchers who aren't as familiar with the you know the whole policy landscape around `electronic health records that? you can imagine researchers who assumed that all data before that date in October is is nine and all data after that date would be icy the ten. While we demonstrate in this paper, is that that transition was not Nearly, that clean and it was a much more, you know there are some organizations who just It the bullet and completed in twenty fourteen, and there are other organizations that were still lagging. In. Two Thousand Sixteen. Potentially because they weren't as exposed to those incentives in other things that you know stipulated the transition so. Part of why were demonstrating with that particular part of that work was that. you know these transitions aren't always abrupt. Yeah and and and so that is one issue and then you know a lot of consistency inconsistency issues fade. So we see that in in single systems and one of the items note here as you know if you think about the disposition code for death. you could have a right your race supercenter, right? It's a death expire expedite at home hospice, and so on. if this is a problem for a single system, but then many think about aggregating data from multiple sources this this problem sort of increased exponentially. Absolutely. So one of the challenges with documenting and and finding where you know if a patient has A deceased that. There's just multiple places to put that documentation in the clinical record. The Location in the record that. We have found to be the most consistent is what's called discharge disposition. By as we show in that analysis, that field is not always used document that and so if you're doing outcomes research and one of your key. Outcome metrics is death. And there are organizations that. Aren't documenting death in a place that successful. You should filter those out of your analysis before moving forward. And so part of what we wanted to promote is the realization that. That's the type of consideration that needs to be made The four. Publishing. Your data about an outcome metrics like death that. You're not. If you're never gonNA see that outcome it doesn't mean that people are. Dying in that particular facility, it just means it's not documented in the place that successful. Right. Yeah. So you know you on your expedience. Unique Position Mark because you you look at it from the from the vendor's perspective you're in an academic setting you're also in practice in a hospital. What's your sense of these things improving the on a track of getting getting this more standardize or it's camping in the other direction I think in general there is improvement I think The. Over the past eleven years through various federal mandates, including meaningful use and so forth. Those of all incentive organizations to utilize. Standard terminologies more consistently than was the case beforehand. I think there's still plenty of room for improvement and You know it's it's a journey, not a destination, but I think things have improved substantially. I was wondering there could be some applications of artificial intelligence here to In a clearly TATECO systems and you'd like the most them pity human resource intensive Yvonne to get it completely right. So one question would be you know, could be actually used a Dick needs to get it maybe ninety nine percent white. And that the human deal with exceptions I definitely think that that's an exciting direction that You want those a algorithms to be trained with good data, and that's a big part of what's motivated us to. Put this focus on data quality and Understanding these strange nuances that are underpinning that date has so that. As we move towards a in machine learning and so forth. We have a high level of confidence in the data that's training those algorithms. Right. Yeah. I think that a huge opportunity here because it's not quite as broad as NFL, not natural language processing it is somewhat constrained. that is a good part of it. The back part of it is that is highly technical. and so. you know some of the techniques you know you can have a fault tolerance in certain dimensions such as you know, misspellings lack of gambling and things like that. But as you have Heidi technical data, you cannot apply those principles because he could have misspelling the system may not be able to. Get, sometimes, and that's where you know I think. It's totally feasible to use. Resources to you know when you're dealing with. Tens of millions of patients and billions of detailed records. Using a I'd even identify those patterns of either. Inconsistent data or missing data it's also very powerful just to. kind of flag in identified. Areas that need to be focused on to lead to a better analysis. Greg Wait Be Hefty. Use that information somehow did is a belt of information that you know and so it just filtering into decision processes that the are really losing it. So hopefully getting improving in that dimension I've jumping to another paper bittersweet interesting. So it's entitled rates and predictors of using opioids in the Emergency Department Katrina Treat Mike Dean in Young Otto's and so so this is sort of a machine learning exercise you have gone through to locate you know coup is getting prescribed. OPIOIDS water the conditions for the Democrat not Nestle demographics but different different maybe age and things like that gender. and and then ask the question desert has some effect on addiction. In the long term rights. So that project To great example of team science though. We. Assembled a team of subject matter experts in neurology pain management. And Data Science and. The neurologist and pain management experts. Identified an intriguing question that we decided to pursue with data. In their question was. Based on anecdotal observation and so we thought it'd be interesting to see how well the data supported that. Observation is that. for youth and young adults Treated or admitted into the emergency. Department. With a migraine headache that. All too often they were treated with an opioid. And so we Use the same day to resource that we were discussing earlier. To explore that. Question. And using data from a hundred and eighty distinct emergency departments. We found that on average twenty, three percent of those youth and young adults were treated with. An opioid medication while they were in the emergency department. In general, it should be almost zero percent in general. There's really Better medications to us, four people presenting with a migraine. and. So this fits into obviously the OPIOID crisis it. it demonstrates the. Scenario describing that. You know using real world data. You can identify patterns of clinical behavior that. Don't match guideline. And the good news is that the? correctable and so through. Training and communication there's great opportunity to. To, manage this. Really. Striking. So fifteen thousand or so inevitably the encounters. And nearly a quarter of this encounters you say involved inoculate. and these are not just Misha and Congress right. It is not filtered down to migraine encounters. Okay. Okay. So these fifteen thousand just might in encounters might vein being repeating disease So once you. If you make a statement and. This or not Easter conditioning issue here. So you get your pain, you go to an emergency department and you get treated with an opioid you get quick tactical relief. From pain. auditing condition expect that in the next episode. So you can say we didn't pursue that particular question, but that is Definitely key part of. Managing the OPIOID crisis is that drug seeking behavior and so Part of our goal was to quantify that and use this as an opportunity to educate providers that. You really shouldn't be treating migraines with an opioid in there are better alternatives and. So we we felt that this was an important contribution to that national dialogue, but we didn't specifically pursue the question of whether the patients we analyzed. Within. Encounter show up Subsequently. With the same symptoms. Right right. Yeah you it develop into period when problematic patterns of drug use comedy. FEST MERGE THE PREVALENCE RATE OF OPIOID misuse estimated to be two to four percent and debts in each goofy just young adult drew from overdoses are rising. and. You say that literally prescribe IOS has been slumping loose future opioid misuse by thirty three percent. Betas Mehta say really huge number. I think just validates the importance of this of this work. Interesting mark. I don't know you exploded on data. Last the question if you look at the aggregate data, it'd be flying opioid. Misuse. what percentage of the total number. Actually started from. You know some sort of medical encounter has mike or some sort of. related encounter that could be completed otherwise was three a bit opioid. in that encounter documented resulted in that misuse. So what so If you look at the active misuse problem that we have today. do you have a sense of what percentage of that goal is actually started I? Think the exciting thing about this type of research is for everyone questioned that you pursue you have. You have ten new that you can pursue. We haven't. Delved into that specific area, but it's It's very ripe for further analysis and A considerable part of where I end my colleagues and our time as. We do this type of work to get an initial analysis published. And then You know in my leadership role I just WANNA. support people like my colleagues on this paper Mark Connelly Jennifer Bickel. in in using data to. Support their research into identify those follow. I mean, he tests policy implications. So it's sweet important work. and. If you find it direct relationship here than you have to ask you know from from a medical perspective what is right intervention? maybe is not just added of care just best practice but clearly should be the bay You know things should be looked at you say you're American Academy of Neurology has included avoidance of using opioid to treat gain one of stop top flight choosing wisely recommendations. For high-value duck in this gives Really evidence to to support that. The other thing that's really intriguing is this level of variation from site to site in. Some Sun facilities are very much aligned with the guidelines. Others are at the you know well, above twenty three percent. And that gives an opportunity for a really precision. conversations about you know, where does our organization stand on that spectrum? Yeah that's a that's an interesting avenue to right. So you know one could ask he says some sort of push sliced Intervention if we can fly goal of patients who who had gone an opioid sexually don't have an addiction problem. that as you know Anna, the kofoed does. if you can fly those type of patterns than you can think about. A customized within electronic health record systems. There's. The ability to provide decisions poor. There's certainly phenomena called pop up fatigue were physicians. You know they don't like having so many pop up windows but at the same time. It's Within the capability of an e e Hr to do that if then logic if patient has. migraine medication order equals opioid. encourage the provider to pause and reconsider that. Right, right and so this is supervised machine learning type analysis where so you have. you have number features that comes directly from each else. So each sex race ethnicity. insurance type. Encounter prostate suggest duration. time of the year and so on. and you have labeled data in this case I guess you have able tater because you would know if op- inscribed on trade. Okay and so are the two questions here. One is to ask the question given a new patient and those features. you could assign a probability that that patient will be prescribed will. Definitely. Impress the data from that predictive Minds. Right and then can you so that data definitely tell you if the patient is going to progress into some sort of an addiction issue. So. Earn Predicting Substance Abuse. So. Yeah. Yeah. Yeah. There's additional diagnosis codes that document. whether a patient has a history of substance abuse disorder. and. So it would be feasible to. Identify the with those diagnosis codes in than really look at their prior history. Of What other conditions were they treated for? What medications were they give in? to develop that model. One of the things in this case that helped with this study is that just in general, it's not advised get. So there are other things that are much more of a gray area. Or whether opioid is as useful, but in this case. The really not. Considered. To be helpful for migraines compared to other options and so that help us have a fairly clear cut scenario to do this work. Yeah. This this won't be the data like you say once you do something like this, you have been other things you could. You could stop asking. So unquestioned that that been to my mind as you know, how did they hugged the actually prescribing opioids? Is it the patient asking for it all so? Off that was another scoping thing with this project is focused on what happens within the emergency. Room. So it's it's. Really, medication order in administration that happens. In that emergency room setting. Whether or not the patient. was. Requesting that you know if they came in and said, this has worked for me before. Can I have it again? we don't have visibility to that. Right. Right. And so from a practical perspective So the the analysis that you did slightly ended up with the Family Clyde power we think it is. Compelling. Pretty compelling. So as as a new patient gets into e D either high. and what I mean by that probably is if there is a history of substance abuse property. the physician has really think twice about. The use of may be the well, and in this case, even without that history. Just because it's not considered to be an effective treatment. You know encouraging them to pause in that decision making. In this particular case is as effective as wall. Right. So looking forward. In if you think about both of these issues, one is the data quality data aggregation data standardized recent problem in the the right of Utah Systems have did that the talked about? And then if we can get to a level that we can look at cross a large data set. Beacon, ask. More. US specific questions, treatment. Optimum treatment type questions. subpoenaed. US The mark big think B be hunting. Certainly, the volume and variety of data that we're able to work with will be even greater I, think the. Opportunity To. Look, holistically at how upstream data capture. Effects Downstream data. Analysis. example I frequently give is if we have a Aggregate Data said we identify. Ten patients whose way in that data such shows up as being. Something that's completely infeasible. let's say they're documented is being. Fifty year old person who weighs two pounds. Clearly air. What's important is? Creating the process to communicate that back upstream. Because that clinical decision. Support. Many drug dosing things are evaluated using weight based logic and so. That same logic that's Evaluating the appropriateness of dosage. It's going to be running against an incorrect value in that may or may not always be visible. So I really am intrigued with that holistic opportunity. In it I am I remain just we have three or four additional papers coming out. About other examples where Provider behaviors not aligned with Best Practices and I'm just excited about you know when you compare that to how long it takes to develop a new drug or how long it takes to. To a really long term research. This research has the opportunity for a pretty quick turnaround on an effective intervention. A really that. Other so much that right. Providers. been taught in a no, but they're. Not always using that in practice and so to help them. Identify, those topics in just modifying behaviors is. In the scheme of things, it's a very straightforward way to improve. So. You know the entire spectrum from essentially getting the data. Right or cleaner like you know Missa mischaracterized or miss input data like wait or something like that. To to get. Better diagnosis better treatment modalities. policies there and from a femme perspective clearly inflammation therefore clinical trials. I was even thinking about drug interaction type. Inflammation. I haven't been involved in the former de for awhile but. Typically, this type of data doesn't get back into automatic processes that fast but I think that is all I know there's strong interest in Pharma in. Working with this type of data there a again looking at real world behavior. This is an excellent resource for off label medication use at. you know where Pharma's Always interested in repurposing existing medications the. Regulatory Processes, much more straightforward for that because the safety is already been. Evaluated and so. The. Significant Opportunity With this, there's also just exciting. Patterns of you know. What are those unrecognised correlations? That's where the machine learning opportunities are really exciting where. You know we're not always asking the right question. And the data can show us what we should be. Yeah exactly. So if the machine a sort of red flags something or create hypotheses. that Cubans have missed sometimes, those types of things are extremely powerful. because maybe that sometimes it's countering tutor. and so we all look at data with an Incan bias. The beauty of machines that at least on the surface began deploy Michigan. This volume of data. Techniques like machine deep learning can recognize those subtle but consistent associations. Wait quite. Excellent. Idea this has been great mark Thanks so much time with me. I enjoyed it very much. Thank you. But

Gill Eappen Mike Yesterday Dr Mark Hoffman Children's Mussa Hospital Turner Electronic Certner Migraine Inflammation Federated Networks Stan Day Squatty Michio Kato University Of Minnesota Makita GIL Federated Kansas City
Dr. Mark Hoffman, Research Associate Professor at the University of Missouri, Kansas City - burst 01

Scientific Sense

44:57 min | 7 months ago

Dr. Mark Hoffman, Research Associate Professor at the University of Missouri, Kansas City - burst 01

"Welcome to the site of accents podcast. Where we explore emerging ideas from signs, policy economics, and technology. My name is Gill eappen. We talk with woods leading academics and experts about the recent research or generally of topical interest. Scientific senses at unstructured conversation with no agenda or preparation. Be Color a wide variety of domains red new discoveries are made. and New Technologies are developed on a daily basis. The most interested in how new Ideas Affect Society? And, help educate the world how to pursue rewarding and enjoyable life rooted in signs logic at inflammation. V seek knowledge without boundaries or constraints and provide unaided content of conversations bit researchers and leaders who low what they do. A companion blog to this podcast can be found at scientific sense dot com. And displayed guest is available on over a dozen platforms and directly at scientific sense. Dot? Net. If you have suggestions for topics, guests at other ideas. Please send up to info at scientific sense dot com. And I can be reached at Gil at eappen Dot Info. Mike yesterday's Dr Mark Hoffman, who is a research associate professor in the University of Minnesota Against City. He is also chief research inflammation officer in the children's Mussa hospital in Kansas City. Kiss research interests include health data delayed indication sharing initialisation Boca Mark. Thank you for inviting me. Absolutely. So I start with one of your papers Kato you need the use by our system implementation in defy date data resource from hundred known athlete off my seasons. So Michio inflicted. Data aggregated for marketable sources provide an important resource for my medical research including digital feel typing. On. Like. Todd beat to from a single organization. Guitar data introduces a number of analysis challengers. So. So you've worked with some augmentation log and in almost all cases be used. Data coming from that single macy's listen primary care behavioral. Or specialty hospitals and I always wondered you know wouldn't be nice. Get a data set. That sort of abrogates data from the radio on-ice. Asians but a lot of different challenges around that. So you wanted to talk a bit about that. I'd be happy to the resource that we've worked with. Is primarily a called health fax data resource. It's been in operation for almost twenty years. And the the the model is that organizations who are. Using these Turner Electronic. Health. Record. Enter into an agreement was turner they agreed to provide data rights to sern are. The identifies the date of affords aggregated into this resource. And certner provides data mapping, which is really critical to this type of work. It also the aggregate the data. And for the past probably six years. Then, they provide the full data set to especially academic contributors who want to do research with that resource. And I've been on both sides of that equation Lead that group during my career there, and then now I have the opportunity to really focus research on that type of data. So before we get into the details smog so e Itar Systems. So this is. Essentially patient records. So he gets dated like demographics out family history, surgical history hats, medications, lab solves it could have physician nodes no snow. So it's it's a combination of a variety of different types of data, right? A couple of things on the examples you gave it includes demographics. Discreet Laboratory results Medication orders. Many vitals so If access the blood pressure and pulse data. It does not include text notes because those can't be. Automatically identified consistently. So. We don't have access currently to TEX notes. Out of an abundance of caution. That his Hobby Stephen, physician writes something down they could use names they could use inflammation that could then point back to their. Patients Makita Perspective been the data's aggregated, the primary issue shoe that date has completely the identified, right? Correct. So. So yeah. So the data that we receive there's eighteen identifiers. Hip requires be removed from data. And those include obvious things like name address email addresses are another example One of the. Things. That is also part of the benefit of working with this particular resource. The. Dates of clinical service are not allowed to be provided under hip. White is done with this resource that allows us to still have a longitudinal view is. For any given patient in the data set the dates are shifted by A. Consistent. Pattern that for any given patient it can be. One two three four five weeks forward or one, two, three, four or five weeks backward. But that preserves things like day of the week effect. So for example, you see -nificant increase in emergency department encounters over weekends and you don't WanNa lose. Visibility to that. but it also allows us to receive. Very, granular early time stamped events in so. We can gain visibility into the time that a blood specimen was collected, and then the time that the result was reported back. And so we're able to do very detailed analyses with this type of resource. Right right and I don't know the audience our market is fragmented. Tau himself e Amorebieta providers out there. and so two issues. One is sort of. Standardization as to how these databases are designed and structured and others even that standardization that the actual collection of the data. In itself is not standardized played. So vk CAV vk potentially lot inability coming from different systems. Correct and that's part of what the paper that you mentioned Evaluates so. Often, night you out in the field in conferences you hear. Comparisons kind of lumping all organizations using one. Vendor lumping all using another together but as you get closer to it, you quickly learn that. It's not even clear. It's within those. Vendor markets. There's variation from organization to organization in how they use the e Hr and so. Because the identities of the. Contributing organizations are blinded to those of us who work with the data. We have to be creative about how we. Infer those implementation details, and so with this paper, we describe a couple of methods that We think move things forward towards that goal. Yes. So I'm not really familiar with that. So you mentioned a couple of things here. One is the the merge network. So this initiative including electric medical records and genomics network and pc off net the national patient, centered clinical research network support. Decentralized analyses that goes disparate systems by distributing standardized quotas to site. So this is a situation where you have multiple systems sort of. Communicating with each other and this net folks at allowing to sort of quickly them In some standardized fashion. So In this type of technology, there's janitorial core models. One is the. Federated or distributed model, the other is a centralized data aggregation. So there are examples including those that are mentioned in the paper where. Queries are pushed to the organization and. They need to do significant work upfront to ensure that there are standardizing their terminologies the same way. And once they do that upfront work than they're able to perform the types of queries that are distributed through those. Federated Networks. With. Okay. So that just one click on so that the police have standardized. So all on the at Josh site, then they have like some sort of a plan slater from from Stan Day squatty do all the data structure. And in many cases, they work through an intermediate technology. that would be. In general, consider it like a data warehouse. And so the queries are running against the production electric. Health record. That has all kinds of implications on patient care where you don't want to slow down performance. By using these intermediaries They can receive queries and then Follow that mapping has occurred. Than, they're able to to run those distributed queries. Okay. And the other model is You know. You say the g through the medical quality, improvement consortium and sooner to the health facts initiative. So this says in Sodas case, for example, in swags. This is essentially picking up data from the right deals, clients and Dan standardizing and centralizing data in a single database is that that is correct. One benefit of that model is that Organizations who for example, may not be academic and don't have the. Resources to do that data mapping themselves by handing out over that task over to the vendor you get a broader diversity of the types of organizations so you can have. A safety net hospitals you can have. Critical access rural hospitals, and other venues of care that are probably under represented in some of those. More academically driven models. And clearly the focus on healthcare about I would imagine applications in pharmaceutical out indeed to right I. Don't know if it s use and bad direction there has been some were performed with these data resources to. Characterize different aspects of medications, and so it does have utility in value. In a variety of. Analytical contexts. I was thinking about you know a lot of randomized clinical trials going on into Kuwait context and One of the issues of dispatch seem development toils that are going on that one could argue the population there are not really well to percents. it may be number by Auditees, men, people that deputy existing conditions. and. So he will serve at my come out of facedly trial. granted might work for the population. Tried it minority have sufficient? more largely. So I wanted this type of well I guess we don't really have an ID there right. So clearly, you don't know who these people are but they could be some clustering type analysis that might be interesting weight from It's very useful for Health Services Research and for outcomes research for you know what I characterize digital phenotype being. they can then guide. More, more formal research. you know you can use this type of resource to. Make sure. You're asking a useful question and make sure that there's likely to be. Enough patients who qualify for given study. Maybe you're working on a clinical trial in your casting your net to narrow you can. Determine that with this type of data resource. And is the eight tiff date who has access to it typically. So for this data resource on, it's through the vendor so. You need to have some level of footprint with them. which is the case with our organization. They're definitely a broadening their strategies. So they're. Gaining access into health systems that aren't exclusively using their electronic health records so. It's exciting to be a part of that that process. and to again work with them to. Analyze the data. I think. To the example you gave a formal randomized trials. In key part of what were growing our research to focus on is because this is real world data. You learn what's happening in practice whether or not it's well aligned with guidelines or formal protocols. And doing that there's many opportunities for near-term interventions that can improve health outcomes simply by. Identifying where providers may be deviating more from. Best Practices in than taking steps through training and education to kind of get them back towards those best practices. This data is a fresh on a daily basis. It's not. It's because it's so large and bulky? Typically we've received it on a quarterly basis in since it's retrospective analysis that's not been a major barrier. But. mechanistically, on onto soon aside is data getting sort of picked up from this system that it's harvested every day and then it's aggregated bundled and distributed on A. On a different timescale. Okay okay. So. From again, going to the, it's our system designed issue and implementation You say many HR systems comprised of more news at specific clinical processes or unit such as Pharmacy Laboratory or surgery talked about that. But then then people implement them this of fashion right they they implement modules by that can be a factor or sometimes they may want. One vendor for their primary electronic health record, but another vendor for their laboratory system. and so that's where you don't see a hundred percent usage of every module and every organization. And detailed number of different you know sort of noise creating issues in data one. This is icy speech over from ICT denied ten. and I don't know history of this but this was supposed to be speech with sometime in twenty fifteen. That's correct. So there is A. You know. There's a date in October of Twenty fifteen where most organizations were expected to have completed that transition. When I see with researchers who aren't as familiar with the you know the whole policy landscape around `electronic health records that? you can imagine researchers who assumed that all data before that date in October is is nine and all data after that date would be icy the ten. While we demonstrate in this paper, is that that transition was not Nearly, that clean and it was a much more, you know there are some organizations who just It the bullet and completed in twenty fourteen, and there are other organizations that were still lagging. In. Two Thousand Sixteen. Potentially because they weren't as exposed to those incentives in other things that you know stipulated the transition so. Part of why were demonstrating with that particular part of that work was that. you know these transitions aren't always abrupt. Yeah and and and so that is one issue and then you know a lot of consistency inconsistency issues fade. So we see that in in single systems and one of the items note here as you know if you think about the disposition code for death. you could have a right your race supercenter, right? It's a death expire expedite at home hospice, and so on. if this is a problem for a single system, but then many think about aggregating data from multiple sources this this problem sort of increased exponentially. Absolutely. So one of the challenges with documenting and and finding where you know if a patient has A deceased that. There's just multiple places to put that documentation in the clinical record. The Location in the record that. We have found to be the most consistent is what's called discharge disposition. By as we show in that analysis, that field is not always used document that and so if you're doing outcomes research and one of your key. Outcome metrics is death. And there are organizations that. Aren't documenting death in a place that successful. You should filter those out of your analysis before moving forward. And so part of what we wanted to promote is the realization that. That's the type of consideration that needs to be made The four. Publishing. Your data about an outcome metrics like death that. You're not. If you're never gonNA see that outcome it doesn't mean that people are. Dying in that particular facility, it just means it's not documented in the place that successful. Right. Yeah. So you know you on your expedience. Unique Position Mark because you you look at it from the from the vendor's perspective you're in an academic setting you're also in practice in a hospital. What's your sense of these things improving the on a track of getting getting this more standardize or it's camping in the other direction I think in general there is improvement I think The. Over the past eleven years through various federal mandates, including meaningful use and so forth. Those of all incentive organizations to utilize. Standard terminologies more consistently than was the case beforehand. I think there's still plenty of room for improvement and You know it's it's a journey, not a destination, but I think things have improved substantially. I was wondering there could be some applications of artificial intelligence here to In a clearly TATECO systems and you'd like the most them pity human resource intensive Yvonne to get it completely right. So one question would be you know, could be actually used a Dick needs to get it maybe ninety nine percent white. And that the human deal with exceptions I definitely think that that's an exciting direction that You want those a algorithms to be trained with good data, and that's a big part of what's motivated us to. Put this focus on data quality and Understanding these strange nuances that are underpinning that date has so that. As we move towards a in machine learning and so forth. We have a high level of confidence in the data that's training those algorithms. Right. Yeah. I think that a huge opportunity here because it's not quite as broad as NFL, not natural language processing it is somewhat constrained. that is a good part of it. The back part of it is that is highly technical. and so. you know some of the techniques you know you can have a fault tolerance in certain dimensions such as you know, misspellings lack of gambling and things like that. But as you have Heidi technical data, you cannot apply those principles because he could have misspelling the system may not be able to. Get, sometimes, and that's where you know I think. It's totally feasible to use. Resources to you know when you're dealing with. Tens of millions of patients and billions of detailed records. Using a I'd even identify those patterns of either. Inconsistent data or missing data it's also very powerful just to. kind of flag in identified. Areas that need to be focused on to lead to a better analysis. Greg Wait Be Hefty. Use that information somehow did is a belt of information that you know and so it just filtering into decision processes that the are really losing it. So hopefully getting improving in that dimension I've jumping to another paper bittersweet interesting. So it's entitled rates and predictors of using opioids in the Emergency Department Katrina Treat Mike Dean in Young Otto's and so so this is sort of a machine learning exercise you have gone through to locate you know coup is getting prescribed. OPIOIDS water the conditions for the Democrat not Nestle demographics but different different maybe age and things like that gender. and and then ask the question desert has some effect on addiction. In the long term rights. So that project To great example of team science though. We. Assembled a team of subject matter experts in neurology pain management. And Data Science and. The neurologist and pain management experts. Identified an intriguing question that we decided to pursue with data. In their question was. Based on anecdotal observation and so we thought it'd be interesting to see how well the data supported that. Observation is that. for youth and young adults Treated or admitted into the emergency. Department. With a migraine headache that. All too often they were treated with an opioid. And so we Use the same day to resource that we were discussing earlier. To explore that. Question. And using data from a hundred and eighty distinct emergency departments. We found that on average twenty, three percent of those youth and young adults were treated with. An opioid medication while they were in the emergency department. In general, it should be almost zero percent in general. There's really Better medications to us, four people presenting with a migraine. and. So this fits into obviously the OPIOID crisis it. it demonstrates the. Scenario describing that. You know using real world data. You can identify patterns of clinical behavior that. Don't match guideline. And the good news is that the? correctable and so through. Training and communication there's great opportunity to. To, manage this. Really. Striking. So fifteen thousand or so inevitably the encounters. And nearly a quarter of this encounters you say involved inoculate. and these are not just Misha and Congress right. It is not filtered down to migraine encounters. Okay. Okay. So these fifteen thousand just might in encounters might vein being repeating disease So once you. If you make a statement and. This or not Easter conditioning issue here. So you get your pain, you go to an emergency department and you get treated with an opioid you get quick tactical relief. From pain. auditing condition expect that in the next episode. So you can say we didn't pursue that particular question, but that is Definitely key part of. Managing the OPIOID crisis is that drug seeking behavior and so Part of our goal was to quantify that and use this as an opportunity to educate providers that. You really shouldn't be treating migraines with an opioid in there are better alternatives and. So we we felt that this was an important contribution to that national dialogue, but we didn't specifically pursue the question of whether the patients we analyzed. Within. Encounter show up Subsequently. With the same symptoms. Right right. Yeah you it develop into period when problematic patterns of drug use comedy. FEST MERGE THE PREVALENCE RATE OF OPIOID misuse estimated to be two to four percent and debts in each goofy just young adult drew from overdoses are rising. and. You say that literally prescribe IOS has been slumping loose future opioid misuse by thirty three percent. Betas Mehta say really huge number. I think just validates the importance of this of this work. Interesting mark. I don't know you exploded on data. Last the question if you look at the aggregate data, it'd be flying opioid. Misuse. what percentage of the total number. Actually started from. You know some sort of medical encounter has mike or some sort of. related encounter that could be completed otherwise was three a bit opioid. in that encounter documented resulted in that misuse. So what so If you look at the active misuse problem that we have today. do you have a sense of what percentage of that goal is actually started I? Think the exciting thing about this type of research is for everyone questioned that you pursue you have. You have ten new that you can pursue. We haven't. Delved into that specific area, but it's It's very ripe for further analysis and A considerable part of where I end my colleagues and our time as. We do this type of work to get an initial analysis published. And then You know in my leadership role I just WANNA. support people like my colleagues on this paper Mark Connelly Jennifer Bickel. in in using data to. Support their research into identify those follow. I mean, he tests policy implications. So it's sweet important work. and. If you find it direct relationship here than you have to ask you know from from a medical perspective what is right intervention? maybe is not just added of care just best practice but clearly should be the bay You know things should be looked at you say you're American Academy of Neurology has included avoidance of using opioid to treat gain one of stop top flight choosing wisely recommendations. For high-value duck in this gives Really evidence to to support that. The other thing that's really intriguing is this level of variation from site to site in. Some Sun facilities are very much aligned with the guidelines. Others are at the you know well, above twenty three percent. And that gives an opportunity for a really precision. conversations about you know, where does our organization stand on that spectrum? Yeah that's a that's an interesting avenue to right. So you know one could ask he says some sort of push sliced Intervention if we can fly goal of patients who who had gone an opioid sexually don't have an addiction problem. that as you know Anna, the kofoed does. if you can fly those type of patterns than you can think about. A customized within electronic health record systems. There's. The ability to provide decisions poor. There's certainly phenomena called pop up fatigue were physicians. You know they don't like having so many pop up windows but at the same time. It's Within the capability of an e e Hr to do that if then logic if patient has. migraine medication order equals opioid. encourage the provider to pause and reconsider that. Right, right and so this is supervised machine learning type analysis where so you have. you have number features that comes directly from each else. So each sex race ethnicity. insurance type. Encounter prostate suggest duration. time of the year and so on. and you have labeled data in this case I guess you have able tater because you would know if op- inscribed on trade. Okay and so are the two questions here. One is to ask the question given a new patient and those features. you could assign a probability that that patient will be prescribed will. Definitely. Impress the data from that predictive Minds. Right and then can you so that data definitely tell you if the patient is going to progress into some sort of an addiction issue. So. Earn Predicting Substance Abuse. So. Yeah. Yeah. Yeah. There's additional diagnosis codes that document. whether a patient has a history of substance abuse disorder. and. So it would be feasible to. Identify the with those diagnosis codes in than really look at their prior history. Of What other conditions were they treated for? What medications were they give in? to develop that model. One of the things in this case that helped with this study is that just in general, it's not advised get. So there are other things that are much more of a gray area. Or whether opioid is as useful, but in this case. The really not. Considered. To be helpful for migraines compared to other options and so that help us have a fairly clear cut scenario to do this work. Yeah. This this won't be the data like you say once you do something like this, you have been other things you could. You could stop asking. So unquestioned that that been to my mind as you know, how did they hugged the actually prescribing opioids? Is it the patient asking for it all so? Off that was another scoping thing with this project is focused on what happens within the emergency. Room. So it's it's. Really, medication order in administration that happens. In that emergency room setting. Whether or not the patient. was. Requesting that you know if they came in and said, this has worked for me before. Can I have it again? we don't have visibility to that. Right. Right. And so from a practical perspective So the the analysis that you did slightly ended up with the Family Clyde power we think it is. Compelling. Pretty compelling. So as as a new patient gets into e D either high. and what I mean by that probably is if there is a history of substance abuse property. the physician has really think twice about. The use of may be the well, and in this case, even without that history. Just because it's not considered to be an effective treatment. You know encouraging them to pause in that decision making. In this particular case is as effective as wall. Right. So looking forward. In if you think about both of these issues, one is the data quality data aggregation data standardized recent problem in the the right of Utah Systems have did that the talked about? And then if we can get to a level that we can look at cross a large data set. Beacon, ask. More. US specific questions, treatment. Optimum treatment type questions. subpoenaed. US The mark big think B be hunting. Certainly, the volume and variety of data that we're able to work with will be even greater I, think the. Opportunity To. Look, holistically at how upstream data capture. Effects Downstream data. Analysis. example I frequently give is if we have a Aggregate Data said we identify. Ten patients whose way in that data such shows up as being. Something that's completely infeasible. let's say they're documented is being. Fifty year old person who weighs two pounds. Clearly air. What's important is? Creating the process to communicate that back upstream. Because that clinical decision. Support. Many drug dosing things are evaluated using weight based logic and so. That same logic that's Evaluating the appropriateness of dosage. It's going to be running against an incorrect value in that may or may not always be visible. So I really am intrigued with that holistic opportunity. In it I am I remain just we have three or four additional papers coming out. About other examples where Provider behaviors not aligned with Best Practices and I'm just excited about you know when you compare that to how long it takes to develop a new drug or how long it takes to. To a really long term research. This research has the opportunity for a pretty quick turnaround on an effective intervention. A really that. Other so much that right. Providers. been taught in a no, but they're. Not always using that in practice and so to help them. Identify, those topics in just modifying behaviors is. In the scheme of things, it's a very straightforward way to improve. So. You know the entire spectrum from essentially getting the data. Right or cleaner like you know Missa mischaracterized or miss input data like wait or something like that. To to get. Better diagnosis better treatment modalities. policies there and from a femme perspective clearly inflammation therefore clinical trials. I was even thinking about drug interaction type. Inflammation. I haven't been involved in the former de for awhile but. Typically, this type of data doesn't get back into automatic processes that fast but I think that is all I know there's strong interest in Pharma in. Working with this type of data there a again looking at real world behavior. This is an excellent resource for off label medication use at. you know where Pharma's Always interested in repurposing existing medications the. Regulatory Processes, much more straightforward for that because the safety is already been. Evaluated and so. The. Significant Opportunity With this, there's also just exciting. Patterns of you know. What are those unrecognised correlations? That's where the machine learning opportunities are really exciting where. You know we're not always asking the right question. And the data can show us what we should be. Yeah exactly. So if the machine a sort of red flags something or create hypotheses. that Cubans have missed sometimes, those types of things are extremely powerful. because maybe that sometimes it's countering tutor. and so we all look at data with an Incan bias. The beauty of machines that at least on the surface began deploy Michigan. This volume of data. Techniques like machine deep learning can recognize those subtle but consistent associations. Wait quite. Excellent. Idea this has been great mark Thanks so much time with me. I enjoyed it very much. Thank you. But

Gill Eappen Mike Yesterday Dr Mark Hoffman Children's Mussa Hospital Turner Electronic Certner Migraine Inflammation Federated Networks Stan Day Squatty Michio Kato University Of Minnesota Makita GIL Federated Kansas City
Android 11 is final with day-one updates from Google, betas for other OEMs [Update]

All About Android

05:52 min | 8 months ago

Android 11 is final with day-one updates from Google, betas for other OEMs [Update]

"Flow you got the top story. This is the top story and yet sadly, I cannot rejoice with you all because I have no idea. Oh Eight. No Yeah I have no idea what I did with my Pixel. I tried to look behind me to see if it was over here but it's not over here behind me anyway injured eleven is official today just like just like that. Maybe you were on twitter or new saw sooner Pacheco tweeted hey, everybody Andrew Eleven is out. So it was launched today it's going to be available for Pixel phones as I mentioned as well as select phones from one plus Jami Otto and real me all on day one Now I gotta ask Ron Have you seen anything on your one plus seen anything on mine Hang on. Let me check. Okay No I'm still android ten. Checking all day. Let me tell you. Still owe an update from like a month and a half ago or something I don't know. I'm not a good example for other people. Checking for update your devices up to date android ten Dang it. It. One of these days morrow leaving tomorrow. We. Tomorrow. Some features to look forward to an android eleven or as Jason Likes to refer to it android double hockey sticks and we don't mean the other thing that spells. Bell Double Hockey sticks although if you're in California right now might feel like that. Some features included android eleven conversations, which lets you prioritize certain notifications over others in certain groups of messages as wells bubbles, which you've seen pop up maybe through Facebook Messenger there's also screen recording and new smart home media controls that are embedded right into the lock screen as well. Excuse me not lock screen the little screen that power menu, the power menu. There are also media controls in the notifications shade, any wireless Android Auto, one time permissions for your favorite APPs to make it easier for them to launch and easier to know when you need to check on those permissions. There's also again I jumped ahead I, meant those auto reset permissions those the one that will come through and say, Hey, remember this app you might want to revoke location access in like we have talked with the android developers. There's some new main line project mainline modules that have been included android eleven. so that means more fasttrack updates without having to wait for the whole Os to update itself. pixels will get some special features. So if you have a pixel, you will have access to find friends in the live you within Google maps kind of like the fine. My friends feature that's been on iphones for so long also smart reply in G Board for chat? APPS. All that is will be on all on device. You want to worry about any processing happening offscreen I guess in the cloud also, there will be more a i. Driven APPs suggestions on the home screen. You might have remembered when we previewed this in the Andrew Eleven Beta on the pixel basically it's a dynamic dock. It changes throughout the day and as your usage changes on your phone and you might be surprised how pretty accurate it can be throughout the day so. Serving you other three here. You'll know my answer I'm a little delayed on right now. How are you guys feeling for Andrew to eleven? Will you upgrade immediately or will you wait a bit Let's start with you Dunkin. I'm curious to hear about your stance on this. So I woke up this morning in Australia to Jason's tweet sign that he got the the update spend the update button. Had it installed within about fifteen minutes? So I was jumping straight on board. I didn't. I didn't do any of the Betas. So I've been waiting for this dying for quite some time. So I was very much looking forward to it of any had a little while to play with it, but I think my top free three phages in odor is the Powellmania that is absolutely fantastic. Especially, the home control about a lot of high motivation, and so that's made using that really simple. Next would be the media edification having a consistent rich Ui for controlling that is fantastic and I'm excited by the idea of the conversations notification bubble so much convince at the compensation Gruden. And this another non switches in there as well. But Not Straight on board my problems IFA. And those who opt out using Google Pie wondering if it's GonNa, break it so far. It hasn't Google play sins very tribal when you update. That's good. What Jason What are your the other one here with a pixel. Couple of pixels actually like I saw a news. Thunder Geez. I was waiting for my turn I had. To go it's your turn now and I ruined spoiler alert. I am on the one plus seven pro and normally I wait until the official kind of until I get the notification to install it do the whole rollout and I will do that when it hits my one plus or whenever I get my new Pixel for a whichever comes first. I ordered the Pixel for a for a last week on a on a whim as a it's time for a change. I've had this I've been on one plus for the last at least a year plus or so. I was like, let me go over the pixel down with low price with amid. Let me walk the walk and the mid range. Mid Range price phone and so it's not supposed to ship until October. So I might get it might get android eleven plus seven before I get the fix foray but either way I'll get there eventually

Andrew Eleven Jason Official Twitter Jami Otto Google Hockey Pacheco RON Facebook Dunkin Gruden California Australia
Can the Otto Aviation Celera 500L Deliver on Efficiency Promises?

STRUCK: A Lightning Protection Podcast

04:14 min | 9 months ago

Can the Otto Aviation Celera 500L Deliver on Efficiency Promises?

"In our engineering segment, we're going to chat about first off the auto aviation Celera five hundred L. which their companies calling the most fuel-efficient commercially viable passenger aircraft in the world. Now if you were to if you're going to go back to elementary school and draw fish, were you make like the big loop and then you make the tail that's essentially what is aircraft looks like. And so it does look strikingly different looks kind of like a blimp it's got a you know a rear pusher propeller got some really long thin than wings but all these things have a very specific purpose. They say it extensively utilizes lamb and our flow over the fuselage wing and tail and that it can glide one hundred, twenty, five miles at thirty thousand feet, and so obviously with all this glide, you know the ability to glide so far. It's extremely fuel efficient. So Alan, you say this is almost like a rebirth of a previous jet is that true? If he remembers the Lear Fan in Lear Fan was bill lear late in his life Bill Lear. Was Building an aircraft out in Kansas I. Think it was Kansas. Composite Airplane and it looked very similar Lisa. had a just kind of a fish shaped fuselage propeller on the back and not as highly lambda flow wing at the time just because he didn't have the computers to do that stop but. Had A two engines. pity six kind of turboprop engines that were driving I think to recap inches ever driving through a transmission, a single propeller, the back. And? Just. The era in which it was being developed, it had difficulty the transmission had difficulty and or make it out carbon-fiber, which was really knew at that point that's before the the the beach starship in came out. So the be starship was sort of an outgrowth of the Lear Fan all the engineers that were around the learfield kind of jumped over to beach at the time to make the starship, they make the the premier in the horizon and everything else after that But. The aerodynamic design. Has Been a constant for a while. So it's not like this auto aviation is a necessarily a new idea as much as they have now, the computational power to do the Lamido flow thing and to make it super slippery to be very efficient, which biller didn't have during his lifetime. So, it's sort of a combination of old old school sort of Basic fundamental design I e one two engines so he can fly Keith propeller turning, but you want all they are an amick efficiency can get because you have the computers to do it. That's what it looks like to me So It doesn't look and I know the thing about here's the thing about. Aircraft shape I always find fascinating is there is a little bit of human psychology into the way that they signs aircraft. that. When you're putting down the amount of money to buy an airplane, some of that is a cool factor. Looks Cool Piaggio has been in this marketplace for a while. Piaggio is a very similar shaped aircraft. It's a pusher plane also in has kind of cool factor to it and it's talion in its is got all these things. So what you saying on does have go factor does not I don't know if this thing has cool factor is it look sometimes it's by sometimes by paint and so here's the thing that I knows I just painted all white, right? Yeah. Right and if I'm if I'm a marketing guy or marketing person and the guy. Giving anybody. Marketing Person At. A new aircraft company I want my aircraft of to be the coolest looking thing that anybody has ever seen. I want to to look like a Formula One race car that's what I'm looking. For and right now, it looks like a a bloated fish a little bit which is not particularly appealing to the eye. It is very efficient, Amex very efficient, but they gotta find a way to make it look cool also.

Lear Fan Bill Lear Piaggio Kansas Amex Alan Lisa. Keith
Steve Bannon's 3 co-defendants plead not guilty in 'We Build the Wall' fraud case

The Takeaway

00:34 sec | 9 months ago

Steve Bannon's 3 co-defendants plead not guilty in 'We Build the Wall' fraud case

"Associates of President Trump's former campaign chief, have pleaded not guilty to fraud and money laundering charges. We have details from NPR's Ryan Lucas, Steve Bannon and his three codefendants. Bryan Cole. Father, Andrew Bottle Otto Intimately Shay are accused of defrauding hundreds of thousands of people who donated to a fundraising campaign. Help build a wall along the southern border. At a court hearing held via video teleconference, Cole Farr's bottle. Otto and Shay pleaded not guilty to the charges. Bannon had already entered a plea of not guilty earlier this month. NPR's Ron Lukas reporting the

Andrew Bottle Otto Steve Bannon NPR Cole Farr Bryan Cole President Trump Ryan Lucas Shay Ron Lukas Fraud
Florida mom murdered during daughter's online class

Todd Schnitt

00:39 sec | 9 months ago

Florida mom murdered during daughter's online class

"More than doubled its previous record. Ah Florida woman is killed in front of her Children and police say it happened while her young daughter was an online class. The first day of school for a 10 year old girl in Indian 10 about 30 miles southwest of Port ST Lucie was a nightmare. The Martin County sheriff's Office says the girl's teacher heard some kind of argument in the background. Just before 27 year old Donna Williams shot and killed the girl's mother. The teacher told police she muted the audio from the girl but then saw her cover her ears before the screen went blank. Williams is charged with first degree murder of the death of Maribel Rosa Otto Morales. Cops say the shooting happened in front of morality is

Maribel Rosa Otto Morales Donna Williams Port St Lucie First Degree Murder Martin County Sheriff's Office Florida
"otto" Discussed on MYfm 104.3

MYfm 104.3

03:42 min | 10 months ago

"otto" Discussed on MYfm 104.3

"School three. Otto, 8 41 It's one of 43 month and balance in the morning. Big To get a new did and I'm a pudding. Give it Thank you. You. Every boy. 143 My fam it is, Valentine's Morning.

Otto
"otto" Discussed on WNYC 93.9 FM

WNYC 93.9 FM

07:18 min | 10 months ago

"otto" Discussed on WNYC 93.9 FM

"Otto Let's get back to my interview with comic writer filmmaker and actor Mike Birbiglia, author of the new memoir, The New One Painfully true stories from a reluctant dad. His wife, Jen Stein, gives her point of view in a Siri's of poems about pregnancy and early motherhood. Interspersed through the book, she writes under the name J. Hope, Stein. So it's interesting I've seen in this with other parents to that. The first you worry that having a child is goingto ruin your work and ruin your career. And then the child somehow becomes the subject of some of it like you have this great book. And show that you did as a result of becoming a father and Jen. You have these great poems about being a mother. So it's just interesting how things change. Speaking of things changing. So you have these long talks before you know, becoming parents about You know Mike's reluctance and Jan? Why you wanted to have a child and I know you couldn't possibly have fathomed. That you'd be raising a child during a pandemic. And that the child wouldn't be able to go to daycare or go to school and that you'd be you know, teachers and parents And that Mike, you were worried you wouldn't be able to tour Well, you can't tour That decision has been made for you for the time being. And you can't make movies right now. And you can't do your state show right now. Like everything. Is on hold for now. How are you dealing with? This new You know the new The boat feels like forever. Ah, ah! Changing your lives as parents. And as professionals. We had in a start going to school, and she was 1.5 years old, So we really feel it her not being in school, and I think it's a lot like when we first at her. I feel like the dynamic between Mike and I. Is probably reminiscent of that time period right now, and for the reasons that you're saying on and that he can't tour and that it's hard, it's hard. I mean, we have a lot of beautiful family experiences that we're thankful for. But those things are really hard. I mean, I think they're hard for everybody. Yeah. I mean, I'm not I'm I'm a live performer as my primary source of income in a live touring performer and It's gone. Oh, I don't know any other way to put it on. It's on hold for a year, and that's Ah. We rescheduled our book tour, which was Going to be 15 or 20 city tour. And it's reschedule for next spring. And even then we're looking at those dates and and not entirely convinced that that's Got to be the case in. So I've I've had Teo. I created the working at out podcasts where I'm basically taking my work, and I'm placing it into a live audio format. So that I can continue to not only work artistically but also have a job and so and so that's reminded me actually of when I was 23 years old, and I was driving my mom's Station wagon around the country, cold calling comedy clubs and saying, Hey, do you wanna have me perform at your club and struggle and rejection of that? And so ah! It's been. It's been hard, but I have to say, like the the silver lining of it, and I've heard other parents say this is in this period from March through August. If it were not for the pandemic, I would have been on tour and I would have missed some of these milestones from our daughter's age five, which are a stud issing kisses. He she She'll do a five minute monologue to me about dinosaurs. Facts about dinosaurs that I do not know. And monologues about rocks and insects, and and she's learning to read and she's learning to swim. You know, like we She was in the ocean the other day, and and, Ah, she got, you know, pummeled by waves in the ocean and then got fell down to the sand and then jumped right back up and said more, you know, and and it was awesome. And so it's like it's been a lot of highs and lows during this period of time. And you know, without child care, You know, Mike, and I really don't have a lot of time to spend together alone. And there was one day and all of this where we took a walk just the two of us while somebody watched, Una distanced. That's how little time we have to just be a couple if you know, but that's what it is in the eye. And then the analogy to the The thing that I say in the book is in the middle of this pandemic, where you know we're struggling, and a lot of people are struggling is because other people are struggling. You know, exponentially more. We have to say it's the most joy I've ever experienced. E I didn't know what joy was, until now and now I know what it is. It's this and Jen's pointing out this thing that it is similar to the 1st 13 months of having Yuna and she didn't bring that up to me directly, but it sometimes it takes fresh air Terry at the truth. So your next book, Mike is going to be about death. That thing. This book is about new life, and now you're going to death. Why is that going to be the subject? Well, the new the new show, which I tentatively have called the Y M C. A pool pending the legal agreement of what happens if you are the winds, a organization Is about how as a child I went to the Y M C. A pool constantly went to nursery school there. I took swimming lessons there, and I just I vowed I would never return. To the wind in his hair like I don't know if it was the chlorine smell or the or the snack machine room that also sell soup or the you know there's something about was like, I just don't want to return..

Mike Birbiglia Jen Stein Ah Otto Let Siri writer J. Hope Yuna Teo Y M Una Terry
Petition urges Trader Joe's to change ethnic food labels

Dialed in Detroit

00:26 sec | 10 months ago

Petition urges Trader Joe's to change ethnic food labels

"The latest call to rename racially charged brands and logo's nearly 1000 people signed an online petition urging Trader Joe's to stop labeling its international food products like Trader Ming's or trader Jose or trader Ji Otto. They say it's racist because it exercises other cultures. The grocery store chain said it decided several years ago to use on Ly the trader Joe's name on its products and his Near completing the work of updating the ethnic sounding labels.

Trader Joe Trader Ming Ji Otto
Nearly 70 People Shot, Several Fatally, Over Independence Day Weekend in Chicago

Nick Digilio

01:00 min | 11 months ago

Nearly 70 People Shot, Several Fatally, Over Independence Day Weekend in Chicago

"Have been shot. 17 killed as of Sunday night of the July 4th weekend. Among those four killed for hurting a shooting Saturday night on the city's south side near an angle would play life. W. G N TV's Trudy Wing, a 14 year old boy identified his Vern Otto Jones is among the dead. A large crowd was watching fireworks near 62nd and South Carpenter at about 11 30 last night. Police say four men get out of a car, walked up to the crowd and started shooting. They shot a total of eight people before taking off. Two men were pronounced dead at the scene. A man shot in the chest and back, died at the University of Chicago Hospital. Another one of the victims of this weekend shootings was a seven year old girl was killed while riding her bike at her grandmother's home. Authorities say the girl was struck on the forehead after two unknown suspects fired more than 20 rounds. Chicago Police Department crisis responder Andrew Home There's somebody on the street, I say somebody on the street No shooters were somebody on the street Know who took the child's life. An eight year

Chicago Police Department Vern Otto Jones Trudy Wing University Of Chicago Hospital South Carpenter Andrew Home
"otto" Discussed on The Alchemical Mind

The Alchemical Mind

05:07 min | 11 months ago

"otto" Discussed on The Alchemical Mind

"I'm telling you. I feel like I had to have been having some kind of lucid dream. Just simply because of the fact that that experience I've never heard anybody have in amine state until very recently. So I was reading about John Seely I. Don't know if you're familiar with. Lil A He's a very fascinating guy. Very Fascinating Guy, and and oddly enough the experience that I had is somewhat in relation to the whole concept of what is it echo and the SEC the? Like competing entities, competing cosmic entities, and and I I had that in my hallucination. And once I learned that I, just I was like after. Know all about this guy. Because this is the only person I've ever found that had the experience that I have right. And, but it was scary. Man You. You have to be very careful a lot of times. GROWING UP I. We I mean everybody smokes weed right right and you try a few different things. Symptoms get addicted. And for me, which is about having fun and I feel now that I'm getting to be old man..

John Seely SEC
"otto" Discussed on Kingpins

Kingpins

04:12 min | 1 year ago

"otto" Discussed on Kingpins

"This is kingpins. Apar- cost original Alistair and I'm kate every day in May we're featuring a quote by an iconic crime figure teaching us in their own words what it takes to survive in the underworld. Today we returned to a saying we've likelihood once or twice before what you might not know is who coined it. New York. Math whiz turned mafia accountant. Auto Aba Daba Berman with a rice shrug. He'd often wave off. Those who chafed at losing money in a horse racing bet saying nothing personal. It's just business. Sure this type of don't take it personally. Swagger is often born from those who aren't on the losing end of deal for Auto Berman. This was certainly true. He went through life notorious for cheating the system. He'd successfully dodged prison so often that by the time he was crunching numbers for the Mafia thought. He was a haughty smart Aleck. So was Berman. Just telling the hard truth or was he trying to avoid it. It was likely a little bit of both surely the day today of keeping the books for mobster Dutch Schultz men meant Berman. Dealt with some unsavory characters Schultz Lebron's borne gangster whose real name was Arthur flagging. Heimer rose to prominence. During prohibition as a bootlegger by the nineteen thirties though Schultz had diversified his rackets beyond liquor namely by getting into horse racing. It was then that Berman came in helping his boss. Con The numbers racket. The racket was an amateur lottery. Essentially in which ordinary New York folks would pay into guess. Three numbers hoping that they would match the number combination to be drawn the next day that winning number was determined by the sum of money. Gamblers placed on bets at a racetrack. Belmont Park with his flawless math Berman easily calculated. How much Schultz would need to spend at the Belmont track to influence the winning numbers? According to George Weinberg. Another one of Schultz's accountants. Berman's math had their boss raking in money. Pretty much every day as a gentleman though Berman. Didn't want to explain to each poor schmuck hoping to in some extra coin than the numbers racket. Just how the scam went and that they weren't the first to lose out on it in a way it really was just business. Berman was going to jot down his calculations until Schulz's cronies how much to spend and who to collect from no matter the situation he would have done the same thing if he had been keeping books for a dry cleaner or a grocery store. Berman was just the Messenger doing his job crunching the numbers. Still those who will miffed by Berman's attitudes believed it was just a matter of time before someone turned the tables on him. Erman was out for a meal with Dutch Schultz at the Palace Chop House in New Jersey in the fall of nineteen thirty five expecting little more than a medium rare steak and a stiff drink yet instead. He was gunned down with his boss and two associates. If you listen to yesterday's episode you've heard this story. A hit had been put out on Schultz who had made enemies with the larger or crime syndicate an Auto Berman was caught directly in the crosshairs. He would spend one final grueling night battling his gunshot wound only to die at Newark City hospital early. The next morning upon hearing the news some people back in New York just shrugged to them. The shooting wasn't anything personal. It was just the cost of doing business. Simple math you win some you lose some. Thanks for listening. We'll be back tomorrow. With another quote.

Daba Berman Dutch Schultz Auto Berman New York Alistair Schultz Lebron accountant Swagger Heimer Belmont Park George Weinberg New Jersey Schulz Erman Palace Chop House Newark City hospital Arthur
"otto" Discussed on Today in True Crime

Today in True Crime

10:26 min | 1 year ago

"otto" Discussed on Today in True Crime

"Forty seven year old. German. Ex-pat Bernard Julius Otto Kuhn stood before an American military tribunal in Honolulu Hawaii. A jury of uniformed officers. I'd him from the bench as the judge announced his sentence for spying on. Us military operations and sharing that Intel with the Japanese Bernard coon was condemned to death by firing squad. Court was adjourned. Bernard maintained his composure despite the crushing sentence but the next day he got news that cracked his stony facade his twenty two year old stepdaughter ruth. Coon was also going to be tried on charges of espionage. And if the truth came out Bernard knew that she would be sentenced to death as well. The journey to this moment began back in nineteen thirty. Five when Bernard coon was a man on the rise. In Germany a respected veteran from World War One Bernard was also a medical doctor who hobnobbed with many high ranking Nazis. The doctor's own attributes however often paled next to those of his fifteen year old step daughter. Ruth she was bright beautiful and adventurous traits that endeared her to many of Bernard's acquaintances to his dismay. They even attracted the notice of Minister of propaganda. Yosef Gobbles Bernardino knew that goebbels was a married man not to mention more than twenty years older than his stepdaughter yet. He felt he could do nothing to deny such a powerful figure ruth. Meanwhile thought she bagged a major catch and being a fifteen year old. Couldn't help but tell everyone about her love affair with the powerful Nazi. This was a mistake. It made her and by extension the whole coon family a matter of national concern goebbels. Young lover was embarrassing and potentially a liability in mid nineteen thirty five bear. Narda was informed that the fatherland needed his service in Honolulu Hawaii. It was four years before World War Two but the Germans were already looking to form an alliance with Japan. The Japanese intern were seeking ways to expand their empire and they needed light skinned English speakers in Hawaii to get them information. Although Barnard did speak English. He probably knew that wasn't why he'd been given the job. He and his family were being shipped off to keep ruth away from Joseph Goebbels Turning Down. The job was not an option. He arrived on the islands in the summer of Nineteen thirty five with his wife six year. Old Son and Ruth Bernhard claim to be a linguist studying Japanese and Hawaiian culture. Ruth find a place for herself as Bernard's helper a bright young woman interested in regional history together father and stepdaughter traveled all over Hawaii. Getting the lay of the land for Germany's Japanese friends. The thrill of spying was incredible. Especially for adventurous young ruth. She became addicted to the game and she hungered for more. She started attending dances at naval clubs. All over the island and made friends with a number of officers who she coquettish questioned about their bases their schedules and their orders. Everything she learned she passed onto Bernard in turn he related the Intel to the Japanese consulate and collected their pay the Intel Ruth and Bernard collected so impressed their allies that around nineteen forty one. They were summoned to meet Japan's Vice Counsel Oto Jiro Khuda Okuda told the father stepdaughter team that his country needed detailed information on the movements of the American fleet. In and around Pearl Harbor Ruth was confident they could deliver the goods. She'd recently gotten engaged to an American naval officer and she was certain that she could charm him into telling her anything the Japanese wanted to know. Bernard on the other hand wasn't comfortable with the mission as a former intelligence officer he knew kind of data was sometimes used to plan an attack and if the Japanese bombed Pearl Harbor his family would be endangered in more ways than one. Ruth however was determined to complete the assignment. She negotiated the fee herself. Forty thousand dollars for the Intel. Almost seven hundred thousand dollars today. Bernard couldn't say no coming up the consequences of Bernard and roots actions podcast listeners. We realized that there are a lot of par- cast chose to choose from each day and sometimes not enough time to sort through them all in our new feed podcast daily we filter through your favorite podcast series to highlight the most timely and relevant episode premiering. Each day every Monday through Friday. Discover in new and captivating episode curated specifically for you. That's one new episode from our slate of content handpicked with you in mind. Time is precious. And we've got you covered. Follow podcast daily free on spotify or wherever. You get your podcasts. You can check out more. Podcast shows and a full library of episodes in spotify by searching for par cast in the spotify search bar or by going to spotify dot com slash podcast. Now back to the story in nineteen forty one. German National Bernard Koon and his stepdaughter ruth provided Japan with intelligence on the movements of the American Fleet in and around Pearl Harbor for hefty fee. The consequences would be devastating on Sunday December seventh nineteen forty one bear. Narda rose early to take his son Hans to Sunday school on his way back to their Pearl Harbor home. He heard planes droning overhead. Then there were flashes of light above the harbor next AH BOOM AND PLUMES OF SMOKE. This was the result of their Intel. Japan was destroying the fleet thereby pulling the US into World War. Two that meant the Americans would soon be knocking on the Kuhn family door. They're not had an outlet coordinated with the Japanese in preparation for just this sort of emergency. He and his family would flee to Tokyo where new lives awaited them but it would only work if they could get off the island immediately amidst the chaos of the bombing which it turned out. They couldn't less than a day later. American officials barged into the Kuhn's home vice counsel Khuda had attempted to burn incriminating documents at the consulate. But they'd stopped him just in time among the paperwork they retrieved was a detailed report of Bernard. And Ruth's intelligence Bernard immediately claimed responsibility. He told officials that he did all the work himself and that his family knew nothing about it unconvinced. The Americans took Bernard Ruth and Friedel into custody up on February twenty first nineteen forty two less than three months after the bombing bear. Nord was tried by a military tribunal. He was found guilty of espionage and condemned to death by Musket. Fire a dark end but at first Bernard felt. This was a win. Surely if he was being sentenced to death it meant. They blamed him for the espionage. Naught Ruth however the next day he found that his stepdaughter was to be tried as well at last. He lost his composure. Bernard begged US intelligence officers to set ruth free claiming she was nothing more than an innocent young woman at first his audience remained unmoved. But then Bernard offered to tell them everything he knew. At which point they became very interested. Indeed we don't know exactly what Bernard told American officials behind closed doors. But we do know that. Shortly after this conversation Ruth and Friedel were released from custody they were sent to an internment camp to wade out the remainder of the war when it ended in nineteen forty five. They were deported to Germany. As for Bernard. His sentence was mercifully reduced from execution to fifty years hard labour after thirteen years in. Us custody he was ultimately sent back to his family and a Post War Germany. To face the aftermath of the war he had helped put into motion..

German National Bernard Koon Bernard Ruth Bernard coon Bernard Julius Otto Kuhn Intel Ruth Bernhard Pearl Harbor Ruth Japan US Germany Honolulu Hawaii Hawaii Pearl Harbor Oto Jiro Khuda Okuda Joseph Goebbels American military tribunal American Fleet spotify
"otto" Discussed on WBAP 820AM

WBAP 820AM

02:12 min | 3 years ago

"otto" Discussed on WBAP 820AM

"Us that complacency and concessions only invite aggression and provocation i will not repeat the mistakes of past administrations that got us into this very dangerous position we need only look at the depraved character of the north korean regime to understand the nature of the nuclear threat it could pose to america and to our allies not a warm mere it was a hardworking student at the university a virginia and a great student he was on his way to study abroad in asia otto joined a tour to north korea at its conclusion this wonderful young man was arrested and charged with crimes against the state after a shameful trial the dictatorship sentenced otto to fifteen years of hard labour before returning him to america last june horribly injured and on the verge of death he passed away just days after his return autos been wonderful parents fred end cindy warm beer are here with us tonight along with autos brother insist austin and greta please two.

virginia north korea otto austin north korean america fifteen years
"otto" Discussed on WCTC

WCTC

02:34 min | 3 years ago

"otto" Discussed on WCTC

"The steps and we looked and and otto was on the stretcher across from the plane and he was shirking violently making these human sounds cindy in gradow ran off the plane austin on i w walked over to otto addo had a shaved head he had a feeding tube coming out of his knows he has he would he he was staring blankly into space jerking violently he was blind he was death as we looked at him and tried to comfort him look like someone had taken a pair of pliers and rearranged is bottom team within two days of auto king home his fever spiked to a hundred and four degrees he had a large scar on his right foot north korea is not a victim their terrorists take today's dried hay day purpose sleep and intentionally injured otto so that's it graphic a graphic description can you imagine being the parent of a child who was torn apart by the north koreans for over a year in they bring him back they give him back to this country in that condition this is a interesting time to say the least when it comes to how the heck do we as a nation deal with north korea we had one williams on yesterday talking about donald trump's rhetoric regarding the hermit kingdom talk about how he is willing to destroy them wiped them wipe to wipe north korea off the face of the planet some people said that's too aggressive it did and we talked about this that does play into the north korean marketing strategy that the united states are the big boogeyman from across the bay and they are ready to to come and destroy us any day now but my goodness when you hear stories like that uh when we've had decades of strategic patience when dealing with north korea and now we have kim jonghoon and again what auto dead and i gotta so he c he stole supposedly i believe them as much as you know as far as i can throw him and when it comes to kim jonghoon in that guy is so dang heavy i can't throw in very far i'll tell you that much they say he stole a propaganda poster from a hotel and of course the trial that happened the.

gradow fever north korea otto williams donald trump united states kim jonghoon otto addo north korean four degrees two days
"otto" Discussed on The Jason Stapleton Program

The Jason Stapleton Program

01:41 min | 4 years ago

"otto" Discussed on The Jason Stapleton Program

"In retail or in war because it's not coming from otto's is not noone from housing so it's got to be coming from consumer goods you know you'd that's the only thing i can think of that i could be missing something here but that would be my guess is that that's where it's coming from its either coming from savings or it's coming from uh from borrowed money and as we know as you know for listening to the show because i know you listen every day so you if you and if your brand new to this this is why i tell you take the ten episode challenge go back download the last ten episodes and start listening i know you think it's a crafty ploy to get me to give to get you to download ten episodes of the show but in reality there's no possible way i can circle back around and constantly reiterate everything that i've said in every other show i have to touch on it and remind you of what we covered in previous episodes but if you remember there is this concept this believe by those who do not understand economics that it is consumption that drives and economy when in fact it is production that drives the economy it is the store of goods of the store of resources not goes but the store of resources that gives us the of the availability to build a brighter future to invest in research and development to invest in new companies are new infrastructure that ultimately leads to more prosperity down the road now when we spend though that available resource that store of of resources on can some consumable products things that make our lives more enjoyable or things that you know that that we require just for for basic needs of food and shelter and clothing.

otto
"otto" Discussed on Download

Download

02:02 min | 4 years ago

"otto" Discussed on Download

"And boom the video of a man who was live streaming as he wa he he had like a mental breakdown and he was driving around in trying to shoot people and eventually did shoot people arm in that video started audio otto playing in my feed and hours after that day that i turned off auto play on everything possible and on a i i would think somewhat wellknown for my love of animals especially dogs and i've seen far too many of those horribly awful videos of dogs being abused and things like that as well playing live and so i all well actually those are just use little not live playing but otto playing so i tend to be a little bit on the side of of live can be a pretty unpredictable and therefore scary thing but i also think that in cases where we're looking at protests and were looking at things are happening right now it can be a positive far as net positive i'm not i'm not convinced i think in terms of the action all actual technology we're at a net positive right now like i can count on my hands the number of times it like this is actually been useful by it i can see the technology getting there i and those times it has been useful at how it has been like a protests are where i see like a friend who is in danger and i'm able to go help them um but e yeah when you're doing the skirling and then auto playing in just some something horrific comes up or just some bros doing something obnoxious comes up um i mean you can also argue unlike whether or not each platform it is is a net positive vernet negative um i think to though will makes it a net positive is that.

otto