28 Burst results for "Makita"

"makita" Discussed on Newsradio 700 WLW

Newsradio 700 WLW

02:15 min | 2 weeks ago

"makita" Discussed on Newsradio 700 WLW

"The younger sister of Makita Bryant. The young lady who was shot and killed by the police officer in Columbus. As he was about to stab another team to death. Her sister called 911 asking to leave their Ohio Foster home a few weeks before the fatal shooting. In a 911 call March, 28. Bryant's 15 year old sister told the police dispatchers she'd gotten in a fight with her sister and didn't want to be in the home anymore. Federal judge has ordered police in Columbus to stop using nonlethal force like tear gas on nonviolent protesters who aren't harming people are destroying property. 20 new 23 new plaintiffs suing Ohio State over alleged sexual misconduct by a team doctor has already been accused of abusing hundreds of young men during his two decades there. And William Slaten. Was charged in the death of woman. He said he used drugs within his body He hid not barrel at his home, pled guilty yesterday to involuntary manslaughter and other counts. He could have been convicted. Of capital murder. From Indianapolis. The eight people killed in the mass shooting at the FedEx Warehouse be remembered today during a public ceremony at the football Stadium, where the Colts play Lucas Oil Stadium. Indiana's A G attorney general has taken aim at the governor. Air call comes attempt to block a new law giving state legislatures more authority to intervene during public emergencies. Declared by the governor. And Kentucky company that makes commercial H Vac products plans to build a manufacturing plant and Shelby counter that will create 700 new jobs in the blue grass. That's plenty. That's enough. We have dick hanging on the line. Dave Keaton suggested We should ask. For Dick pics. When it comes to the NFL draft rounds four through seven. We'll see what Dick from Dayton has to say in moments on 700 wlw..

Dave Keaton Makita Bryant William Slaten Columbus March, 28 Indianapolis Colts Bryant yesterday eight people today Dayton 23 new plaintiffs 700 new jobs 15 year old two decades 911 Kentucky Ohio Indiana
How to Generate Loyal and Committed Clients with Cristy Nickel

Healthcare Business Secrets

02:13 min | Last month

How to Generate Loyal and Committed Clients with Cristy Nickel

"The working with christy nikko. Christie is the president and ceo of code rid author of the code revolution number. Two will ranked boxes. Currently retired and celebrity tristesse a warning from china in elite level. Athletes is also the author of four books. I'm really excited to have her on the show. She's an evid makita salesperson and has got a kick ass business which we're gonna talk about today's episode. Welcome to the show. Kristy yes and the mohawk. Let's not forget the mohawk. Oh my god. I got a different color for change it constantly. My poor husband walks around the corner. He goes and he goes. Oh as you. And i'm like why do you think it's red now. So yes thank you for that awesome introduction. Only some some background on you. What do you do. Who do you help. And how'd you get into the space. The elevator pitch is. I created a nutrition program that enables people to lose ten percent of their body weight every month without shakes pills diet foods or exercise. So that's kind of the some of the code red lifestyle but it kind of started back when i was. I was raised in northern idaho which is in the pacific northwest and i was raised very poor. My dad was a cop and our local minister was a very small town and my mom worked for minimum wage and we just had no money but we raised on a farm and so we were very poor growing up and when it was time for me to move out of the house and go to college. Nobody in my family helped me. That was zero help. I was working. I bought my first horse at ten years old making monthly payments to my neighbor to buy this horse so i started waiting tables and i was just waiting tables and bartending trying to put myself through nursing school and i was approached by a boxing coach after he watched me in in a local boxing class. And he said how long you been. Boxing and i said forty four minutes. And he said you have a propensity for this. And i was like pow whatever and he goes. Do you wanna fight. And i thought fight. Are you kidding me like real fight. I've never even been in a fight. Never been hit. He said you could earn money. Well that's all. I needed to hear because i was so poor so i literally started fighting for my dinner. I started fighting for five hundred bucks a five. This legit federally licensed sanctioned boxing matches you know six ounce gloves Twelve rounds three minute rounds and little. Did i know. I was really good at boxing

Christy Nikko Christie Kristy Boxing China Pacific Northwest Idaho
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
Museum Workers Must Decide Whether To Return To Work Amid Pandemic

NPR's Business Story of the Day

04:00 min | 8 months ago

Museum Workers Must Decide Whether To Return To Work Amid Pandemic

"Back, in the spring New York City with the epicenter of the coronavirus outbreak. But recently, case numbers there have stayed low and New Yorkers are trying to get back to a life that's as normal as possible during a pandemic the big museums the met the Whitney in the Guggenheim have started reopening. Some people are thrilled but some museum workers are not hear Sally herships on the sidewalk outside the Museum of Modern Art. A slender man is smugly holding the world's tiniest Chihuahua Torres climb out of taxis gazing. At their phones with directions and digital tickets, they're wearing interesting glasses and have not haircuts but everyone is masked. Harry Allen is visiting from upstate New York and he's nervous. This is his first big outing since the pandemic began just seeing goes, but for employees on the inside, it's a bit more complicated some of the turmoil from the pandemic has crept into the museum. Lay says for her the problems began in early. March at the time it was her job to help museum visitors learn about workshops and activities. But coronavirus virus cases were starting to spike and she didn't feel safe at work. They gave us hand sanitizer and it was I could have gloves you ought. She was a contract worker paid around twenty one dollars an hour but her hours were capped at thirty per week. So she didn't get benefits like health insurance. What if she got sick spoke to nearly a dozen contract workers likely who said the problems began long before the pandemic it's called the fissured workplace where you end up having to take multiple jobs in order to support yourself and everything is so contracted and then you don't get any safety net from your employer laces. There's another problem too at Moma diverse workers both contract and paid staff or at the bottom of the pyramid in terms of pay and. Power all the front facing staff, the security, the restaurant workers, customer service, and educators are all very diverse, and then I would then go to the cafeteria where all the staff eight and then like everyone else would be why Lisa's us that meant when financial problems from the pandemic it diverse workers were more likely to be affected in March. The museum laid off eighty four people in an email. The museum said quote we did not have to furlough or layoff a single employee of the museum unquote that means all of those laid off were contract workers like lay the museum said it paid those laid off through March. Or heard from full time employees who are afraid to speak out publicly for fear of losing their jobs they say, they feel under intense pressure to return to the museum when they can do their job safely at home. But moma has told almost all staff they need to be at the museum. Here's museum director Glenn, lowry explaining his thinking during an online staff meeting. We must show solidarity with each other that our place of work is the museum, and while some of US might be able to argue, we never need to be museum to still do our work that's not equity. opposite. A spokesperson from the museum said, it's taking every precaution and workers are only required to be onsite part time but the workers I've heard from say the logic doesn't make sense. For example, the Metropolitan Museum of art is only allowing certain staff to work in person Makita flowers worked with visitor engagement at Moma but as a contractor, she was also laid off in March. She says, lowry is out of touch with workers like her with his multi-million dollar salary. He's the highest paid museum director. In the country I had a chance to speak to Glen I would just feel like. Roll like look at your family look at what you call the family. How are we doing now? Where are we as for on lay she has a new shop working with the city to help other Southeast Asians navigate resources during the pandemic

Museum Of Modern Art United States Metropolitan Museum Of Art New York City Moma Sally Herships Chihuahua Torres Whitney New York Harry Allen Director Lowry Glen Lisa Makita Glenn
Porpoises On The Brink Of Extinction Face Daunting Odds For Survival

Environment: NPR

05:20 min | 1 year ago

Porpoises On The Brink Of Extinction Face Daunting Odds For Survival

"Marine Mammal is on the verge of extinction in Mexico's Gulf of California. Conservationists have been trying to save the the Keita Porpoise for years but that work has been complicated by the nets and even drug cartels from Arizona public media in Tucson area Brosius reports seafood restaurants. Colorful mosaics line. The Boardwalk in downtown San Felipe pay fishing is a mainstay of the small northern Mexico. Town love I keep. The restaurant is just a couple blocks over a framed photo of the little porpoise that could be. The town's mascot hangs in the office of Ramon Franco the as head of a local fishermen cooperative representing about five hundred and seventy families is sending. Well it though this earth announced that animal as you must know only lives here in this area and it's ours belongs to us. Mexicans for decades of akitas population has been declining as fishermen inadvertently catch them while pursuing fish and shrimp but dea says many local fishermen treasure the animal when it rises above the water with its characteristic. Black rimmed is he says That causes those do those. It's as if it was smiling with you. So real fishermen don't WanNa harm them. It's the opposite in the last few decades. Mexico has established of Akita Refuge and backed research into the species but lately the number of Akita has plummeted around just a dozen or less as poaching for another endangered fish called. The Toba has ramped up. Fishermen use large Gill Nets to trap the toe to Wada. Which also killed Akita in two thousand fifteen Mexico's then president banned Gill Nets in the Vicki habitat increased enforcement against poaching and started paying fishermen not to work so the species could recover. This little sanitizer came to an agreement that we would leave the sea so that the federal government clean up the illegal boats but Diaz says enforcement was insufficient. Problem got worse. He says he's filed numerous complaints with the government to no avail then a year ago. The payments fishermen stopped those. Odi The liberal Emma. So now we have a serious problem. Because we don't have a fishing practice that is permitted. And we also don't have any compensation. Last September Diaz announced his fisherman had no option but to return to the sea to support their families. He says two thousand eighteen. Us Ban Mexican seafood caught with Gillnets has only made life harder for legal fishermen. Mexico missed an opportunity to be a world leader in shifting a fishery over from Gillnets to alternative gear. Barbara Taylor is marine conservation biologist with the US government who studied the Makita for thirty years. She says the Gillnet Ban wasn't very effective. Because some fishermen hurting financially were tempted into the illegal Totowa Trade F- Iquitos and Gill Nets are completely incompatible. And the fishermen needed to be able to make a living and so developing alternative fishing methods. Were really the only way for Bikita. Survive Louise Mendosa is working on it in his centrally bay office. He pulls a large thin strand net from a milk crate. Wait to the bottom. He's a member of pesca obeys. Say A small nonprofit group of fishermen working with the Mexican government to test alternative driftnets like this one called suit. Peta for this war with the current only with but Mendoza says using these nets can be nearly impossible because of the sheer number of illegal gill nets under the waves. He says even though it's cheaper it will be hard to convince fishermen to use it. They've become very effective. The Gill Nets and with this kind of equipment. You have to get money. The Keita Researcher Barbara Taylor says Mexico needs to support legal fishing if alternative nets prove less profitable and crackdown on poaching. Akitas prime habitat. She still has hope for the species but there are fewer of Akiba every year though. Two of poaching is rampant because the fishes swim bladder is highly prized in China. As a medicinal food. Because there's a little money is more money than drugs. I mean we're talking about twenty thousand dollars twenty five dollars for one soon blind. Jp Geoffroy leads the Conservation Group Sea Shepherd's Makita protection efforts. He says that money has attracted international drug cartels and during high season there can be dozens of boats fishing illegally inside the Vicki to refuge for the last five years sea shepherd has been working with some local fishermen to collect Gill Nets. Trying give the species a fighting chance to recover important. Centrally Bay Crew Members. Use a hook to move huge bags of fishing gear. They've pulled from the ocean. All these boxes contain all Guinea. Gotten it that way we move from riveted by Kedah not all local support sea shepherd's work recently suspected poachers fired shots at a sea. Shepherd vessel in the Makita refuge despite that tension. Geoffroy says they support local fishermen who just want to do their job. We are just trying to work with them and explain to them to. At least respect the small rectangle release the critical area. Geoffroy says if they can just protect the remaining Makita the species can recover but for now observers. Say there's little evidence that current efforts to stop poaching will be enough for NPR news. I'm Arianna Brosius.

Gill Nets Mexico Nets Jp Geoffroy Makita Barbara Taylor Diaz Keita Porpoise Akita United States Ramon Franco San Felipe Arianna Brosius Conservation Group Sea Shepher NPR Tucson Bikita California Brosius
Police Raid Offices of Alexei Navalny

PRI's The World

04:17 min | 1 year ago

Police Raid Offices of Alexei Navalny

"This week police also rated the office of Moscow's most well-known opposition figure Alexei Navalny and his team on top of that one of Navan as close allies was forcibly conscripted into the Army Nikita. Cooler Chekhov knows that man from Navales Group the Anti Corruption Foundation Makita joined us from Berlin. They cannot taking forcefully to the army is just. There is no such legal way to do that. So in and this is why this is so unusual because it's just something not within the law and it's like so cynically taken to the place where there is no communication and there is no civil as as we know there is no civil transport of civil service to displace journalists won't be able to get there so lawyers won't be able to get unless they got the seats in the military the plane so this is a relatively new tactic. By the Kremlin what what concerns you most about it well because it's actually prison sentence for one year for the person because was he would be in the accident he won't be able to leave and it's and at the same time he has the military he has. Medical conditions prevented him from serving in the army. And so it's something extraordinary brain. It's something like like like arrest or detention Nikita. Help US understand. What exactly is the goal of love? FBI The Anti Corruption Foundation of his organization. What is the work you do? We are making the news with publish them. And we informed the General Russian from public on the on what is actually happening and how the corruption works in the highest level of the Russian government. This is just the basic idea at the same time since Aleksei Alexander Valentine's the pollution and he's like main platform is the Fighting corruption we we like we support his main political. restful and as I said earlier. You're in Berlin. Nick you're actually wanted In Russia by the F. Espy the domestic security forces out. Why are you willing to take these risks continuing to do this? Work on behalf of Putin's opposition. It was almost like seven or six six years ago when I at one point thought that time and not going to be anymore in the corporate environment. And I'm GonNa do something for my country and sideshow to sewer Kwalik State. So it was watching Alexei navalny crack jokes with his colleagues and make light of the raid while it was happening. I'm sure you haven't lost your sense of Russian humor humor but I mean how are you able to do that end in Berlin. Do you still see the humor in all this well If you are in Berlin it's easy to see Jolson that because you don't have that risks that your computer will be stolen by the police officers you get used to it. I think of our employees were at least interrogated or detained one Johnson. Some of them spent several months in in in in this shot detentions still nothing funny about detention so what. We're looking at Here at the end of 2019 is the Kremlin staging a number of schemes to silence the opposition in Russia. What's next for F-? PK The anti corruption foundation or are you looking more at twenty twenty one when there are parliamentary elections in Russia so we have implemented smart votes tactic or smart vote system in this year earrings summer and it was successful with say here. Are The candidates that time notes anyhow links to the United Russia. The pro-government So we expect that we go to use the same tactic. I'm this SMUT. Vote System in two thousand twenty one in the State Duma elections however it depends ends on the activities and the steps of the government because we if that they are trying to implement the new restrictions and Internet's attempting to implement them because they would like to block some particular contents or some particular videos in Youtube for example some particular website like the smart. Whoa let's see what they will do? So our tactic may change Makita Kulikov in Berlin. He works on the Investigations Unit at the Anti Corruption Foundation. A group group led by prominent opposition leader in Moscow Alexei Navalny Nikita. Thank you very

Berlin Anti Corruption Foundation Alexei Navalny Russia Moscow Alexei Navalny Nikita Kremlin United States Aleksei Alexander Valentine Navan Navales Group Chekhov Makita FBI United Russia Putin Kwalik State F. Espy Youtube
Dave Bautista, Keita And Makita discussed on The Frame

The Frame

16:28 min | 2 years ago

Dave Bautista, Keita And Makita discussed on The Frame

"They were coming out a week after Spiderman far from home and a week before lion king I mean could we have like one shot at it. You know that weekend doesn't go well for gone forever. That's not Camille Janis only problem. It is new movie stupor. He plays an uber driver who picks up a nightmare passenger. Who's got a gun? That's Today on the frame weekend. Plus for filmmaker Lewan diverse casting is key even if it surprises surprises movie goers type of American lead that we're used to but that's part of it you know people need to get used to these faces as being part of the faces of America re talk too long about her new movie the farewell and we'll say hello to the LUBEC sister's piano duo from Paris who wowed the crowd at the Hollywood bowl this week. It's the frame weekend from the Broadcast Center at K._P._C._C. John Horn stay with us. I'm John Horn and this is the frame weekend on this show we talked with creative people about how and why they do what they do and about how their art is shaped by the wider world a little later today. We're going to find out why Tuesday nights are taking off in downtown L. as little Tokyo but I this you know there's a sense that certain movies theatre movies and certain movies are not theater movies. I think comedy's our theater movies to Oh. Actor and screenwriter male Nanjiani hopes that audiences agree he's going for big laughs and his new dark comedy. It's called Stupor the film just open this weekend. It's an action packed buddy cop flick with with a twist Nanjiani stars as an uber driver and he picks up a total nightmare of a passenger and out of control policeman played by Dave Bautista. He's losing his eyesight and he's got a gun. AFTER JANIS 2017 seventeen breakout film the big sick he was looking for an entirely different kind of role for a follow up so when he came across the script for Stupor he thought he'd found one as long as he could help tweak the script a bit genuine motto of the L._A.. L._A.. Times was my co host for the frames recent summer movie special and Nanjiani was one of our guests we started out by asking him to explain the premise. That's driving the stupor storyline. An Uber driver gets kidnapped by a COP and forced go on an adventure to catch a murderous drug dealer and the cop can't see because he just got leasing just got Leszek. That's the thing I don't know why it's not in the trailers. The cop just got laid sick and so there's like over the course of the whole movie. He's got this chart that he's staring at waiting for it to get on blurry so I'm curious how this came about. Were you looking for something like this. After the big sick I sort of had a little bit of paralysis about what to do next ext so I decided that the only way I wouldn't put too much pressure on myself was to do something completely different that nobody could compare it to the big sick right and so I kind of was I want to do like a big studio action comedy type movie so then descript came in and I read it and I thought it was really fun and funny by was like if I want to do like an action comedy with guns and all this stuff there has to be a reason for it to exist like it conscious be that it's entertaining and so I actually talked to to Fox a bunch about it and was like hey. I think there's some like underlying themes in this movie that I think we should really bring up to the surface and if you guys are willing to do that then I think this could be a cool thing to do. We'd be able to talk about things you don't normally see in like a big action movie like this. That seems like such a guy movie toxic masculinity in men talking about their feeling exactly exactly I was like if we're doing a movie in twenty nineteen about out angry dudes with guns. We have to talk about that. I feel like we're obviously in a narrow where you know. Masculinity is under the microscope and we're really sort of figuring out. Most of the world's problems come from men who can't feel their feelings so it was like I think this is a great rate way to talk about that stuff in a movie. That's traditionally a very like man movie and for people who don't know what's tuber means what does to remain Camille so my character's name is Stu and Driving Uber so my boss calls Me Stupor to make doc fund me and it really gets under by skin cancel. It affects my rating icon trouble for stars lose this job. ooh Do right now that that you for this stupid you can stop calling me that he really loves you. I think that's it's a really fun too because we were like let's take all the male types and reconstructive so this guy is sort of the you know the petty tyrant type of guy and we do a scene where we deconstruct that where he's just like kind of lonely and feels bad and insecure about himself on you have a whole seen in a male strip club. Yes exactly Steve. How is the name of the guy that I talked to a bunch and it's funny? He's like Hillary Clinton Tattoo. She was up twelve points in August. We just wanted to take a a bunch of different types of men and sort of deconstruct. All of the stripper is talking about being honest with your feelings and you know not hiding. You need to tell her you feel a relationship cannot thrive without honest and you know he's been body shamed by his his boss for being like you know one percent body fat as opposed to point five right right. He looks great by the way I'll tell you I felt very inadequate in that locker room because it's like Ted of the most gorgeous hunks and then me like I notice I watched this movie a bunch of different audiences. My posture is so much worse in that scene than any other scene in the movie the match up of you and Dave Batista his persona has his outward appearance appearance like it it lends itself to a deeper deconstruction along those lines. That's what's interesting about him is that he looks like such a brute. You know he's so big and he's looks like a scary guy but he's the sweetest most sincere man have truly ever met he he is completely in touch with his emotions. In a way are characters in the movie are Kinda swapped. He's the one who's really comfortable being sincere and crying and really talking about his feelings whereas I was the one who was really cut off for myself for a long time and in the last four or five years I've been sort of trying to do the work of getting in touch with my feelings and feeling comfortable expressing something other than anger anger you know what is that about. I mean is that about things that you think you can do. Through acting where you can start understanding yourself better yeah I mean honestly was I started taking acting classes like a year before the big sick because I knew that had got to be able to access parts of myself that hadn't been able to access an taking acting classes. It's Kinda was like therapy. I realized that for years I didn't know how I was feeling why was angry about stuff and so in doing doing acting work for the big sick I realized like Oh. There's a lot of stuff going on inside me that I thought was not good to feel and so after the big continued doing that work on myself like I cry it almost every movie movie now and I went like fifteen years without crying at all. When this movie came along? I was like well. I think this could be an interesting way to talk about some of the things that I've had to deal with on my own when I was sort of talking to Fox about this. I don't want to take credit for this movie in any way. All that stuff was in there but I was like I see these characters as one needs to get angry and one needs to cry. So how do you do that and make what is a summer movie with like you know. I won't say car chases but there's some car action. There's a ton of violence. There's a lot of like what we would see in a big action movie. How do you make sure that that is responsible as well that you're not just kind of random? gunplay people are just getting mowed down because that's what you have to do a summer movie I mean. That's tricky right. That's tricky so it is a shooting movie. It is people with guns. It is it is car chases. Those things happen in movie and that's the language of this type of cinema but I but I was like my cocker should be anti doc. I was very adamant. I was like fire. Hold a gun in this movie. I don't want to feel cool or good about it. The only time I fire is once into the air when we went to do the poster shoot for the movie. The concept was both of us holding guns and I was like I'm not going to hold a gun. That's completely not what this character is so I'm honestly not trying to take a big stand against guns or anything. Obviously you see I think gun control is very important but you know Dave has a lot of guns and he's a very responsible gun owner and he's very comfortable around guns. I'm not comfortable around counts I wanted. I thought that that perspective should be in their drive. I'm sue how do you do can get you some bottled waters and Canadian chocolate. It was one of those things where I thought was getting five bars Amazon but I ended Koreatown no rea- town now hold on. I'm going to bang a UEY Hero Quick Doc. No don't got it. It's clear that uber was a willing participant in this movie I mean they are all over the film and yet they're these jokes about the driver like Oh my God he took the right turn. It's now four minutes two minutes. How much freedom did you have to actually make fun of ride? Sharing Services and Uber particular first of all did not pay us any money for those people think this is like an ATF ruber. I'd be like this is a terrible herbal admiral the driver get kidnapped. How is this a positive thing for Uber? They wanted to make sure that the APP was used correctly. That was there. They wanted to make sure that that technically everything we were doing in the movie would have happened that way in real life they weren't too concerned about US making fun of Uber like they were kind of cool with that but they wanted to make sure that it was an accurate portrayal Nanjiani co stars in Stupor with Dave Bautista. It's in theaters now. You're listening to the frame weekend. I'm John. Do you know what if Akita is no well. A lot of people don't and a lot of future generations won't because it's almost extinct the vikings are a casualty of fishing nets in the Sea of Cortes off Baja California. The Nets are there to capture another species of marine marine animal the Totowa by the Documentary Sea of shadows examines not only the rapid eradication of Akita but also the nearly intractable plight of local fishermen. We sat down with the film's director Richard Laud Connie at at the Sundance Film Festival where see shadows premiered and he started by telling us more about this small porpoise like mammal. The Makita is the smallest waylon earth. It looks like it's very cute. It looks like a cross between a pond the baron dolphin there's so few left after them so the first mammal that may go extinct in a decade when we started there were less than thirty left now. We believe there's less than fifteen left so they're really declining fast but DEV akitas just a symbol for a much bigger story which is that the drug cartels tells the Mexican cartels in a Chinese mafia based in Tijuana are attacking this habitat of the Makita because they're looking for something else that cocaine of the C- the Toba and they liked that so much because the swim bladder ladder of this fish can fetch up to one hundred thousand dollars in China so they discovered it as an alternative to the drug trade so this is why story so big and dangerous because they're attacking a notion that Jacques Cousteau called the aquarium of the world and they are destroying it just to get this swim ladder and nobody was looking like when we did the IRA game the elephant crisis was known and it was a big deal and you know everyone loves elephants. This one was a silent war that no one knew about but it was so deadly because tens and hundreds of thousands of animals being killed in slaughtered and I was five hour south of Los Angeles Richard when I think about the challenges in making this movie obviously the first one is the by Keita. They're very few they're hard to find and there's certainly hard to document and then you're working in an area where there are people who don't want you to document what's happening and they don't want you interfering in their business and those people are powerful and they have guns so what were the biggest challenges is for you in trying to document what was going on outside of San Filippo. The Beach Chattan starts with that. Do you need a lot of money to make a film like that because Justice Security that goes into keeping us all safe because every day that we spend there we were noticed more and more and we try to pretend to be like a natural history kind of film team just doing a film on wildlife right but they were wondering why are they on the sea shepherd ship which is fighting the cartels house and why are they so interested in what's going on here so yes. It became the most dangerous film I've ever done. I set that as well. When did the every game they started sending us more clear messages that they do know who we are and especially the really bad guy? <hes> Oscar Para started to <hes>. Let us know by sending us a messenger saying. Why don't you interview me but we were like Oh? We're not going to do that because he had actually just murdered soldier in some Philippa a few weeks back caught on videotape too caught on videotape and we thought it could be a trap. There's a moment in the film where you were filming. If I keep that is in distress and to watch what is happening to this Keita's your cameras are rolling and the marine biologists who are trying to care for it is unbelievably difficult to watch because this is an animal. That's not only almost extinct it is in some ways kind of anthropomorphic and it's a it's an animal that has almost kind of human qualities in its face. Can you talk about without revealing what happens in the scene what was like to film that sequence where you see this Keita who is struggling to stay alive you know it took five weeks of us being out there on fifteen boats with ninety scientists who we're the best in the world to try to find them. You know for us. It was this journey this rollercoaster ride of emotions of being with a scientists looking for this animal which they wanted to rescue they wanted to extract all of Akitas and put them into a safe zone so they can stay alive because the thousands of ghost nets were going into catch to our killing everything they're like walls of death but yeah being close to that Makita that after five weeks was caught was was incredible. It was the first time Akita was even filmed like we were the first film team ever ever to film this animal in its entirety that was like Oh my God but then also watching it struggle with captivity that was emotional like you cannot believe it was tears of joy I to actually sleep find one bring it to safety but then also watching how it was struggling it was <hes> big rollercoaster for US emotionally direct KITA. There's maybe a dozen of them left. What would you say to people who say what differences the Fakih to make to the world? You know <hes> we have a responsibility I think to care into not look away and this story is remarkable because it is a small story but it's a small story that you find over and over again across the world. I want everyone to start looking at this and say like this can't happen like I can't allow this. I'm angry. I want to inspire especially the young people like our our hero Jack Drawn to these twenty one and he's risking his life every day and he's out there facing poachers and he's I angry and he's not ready to accept so he's fighting and to show here is like that I think it is very inspiring and empowering for young people who I think do

Dave Bautista Keita Makita Camille Janis Male Nanjiani FOX John Horn Broadcast Center OH Hillary Clinton Lewan America United States Richard Laud Connie ATF Hollywood Paris Steve Philippa
"makita" Discussed on Newsradio 970 WFLA

Newsradio 970 WFLA

01:32 min | 2 years ago

"makita" Discussed on Newsradio 970 WFLA

"Steven stamkos still together. Makita kucherov is going to be. So we'll see the stamkos kucherov. Wow. Based on pregame. Warmups? Matthew Joseph gets elevated up to play with Tyler Johnson, Yanni gore and the Lawrence Sarah Miller lines stays the same Ernie pot. Cattleman Reich Eoghan drives back in after being scratched the last couple of games. But the loss of brain point is we'll have to keep an eye on that one for sure the domino effect as you said demand. Get an opportunity to start tonight. He's been good when called upon he has been and then I would expect nothing else from him. He's been so solid. Whether it's one start in five games or twelve out of thirteen when Roger guys Alaska was down. He has done everything that this team has asked him to do. And that's give them a chance to win on nightly basis. It's been awhile since he's played but good opportunity for him to get in. And what should be a fun atmosphere at MSG Ryan Callahan back in the lineup. And that's going to be a lot of fun for him for a lot of reasons playing against his former team, but he's been out of the lineup for a couple of games. He has been we talked about that last night in the fact that John Cooper had mentioned how they want some of the younger players to be tested and get an opportunity in some of these more high profile. All games as you go down the stretch in against opponents that are fighting for playoff spots. You know, you wanna see what those guys are made of. But I think again as we discussed last night, I think Ryan Kelly can still be an important player. He's not the player. He was when he first acquired him in two thousand fourteen but he's still brings so much the ice in terms of his leadership and his willingness physicality and everything else. It's good to see him be back in the lineup tonight, especially with this game being a massive Square Garden. It's been a big part of the PK..

Ernie pot Ryan Kelly Reich Eoghan Steven stamkos Ryan Callahan Makita Tyler Johnson Alaska Matthew Joseph Square Garden John Cooper Lawrence Sarah Miller Yanni gore Roger
"makita" Discussed on KLBJ 590AM

KLBJ 590AM

04:11 min | 2 years ago

"makita" Discussed on KLBJ 590AM

"So you can think of how they're having to appropriate their resources. The defense budget proximity. That's how that's how much money they're spending. That's not a country. That's just concerned with defending itself. All right now. Let's jump ahead to Fatima. We all know in one thousand nine hundred seventeen there were three Vert revelations given to the young people. Who claimed that they saw the blessed? Virgin mary. And we'll we'll talk into some of the events that occurred there, you know, they they talk about the miracle of the sun came down before one hundred thousand witnesses say. Picture apparently taken of that. But let's tie that into Fatima in those three secrets the third of which were told the church has and there's been some kind of controversy over what it was some say, it was the shooting of the pope. I don't think it was that. Well, what's interesting about that? You see the book of revelations? Now leaves us off. We know that the. The really dramatic Paktika. That's going to take place in Asia. Does she says east of your frady's? And parenthetically. Let me mentioned what the were Armageddon actually need. All right. It's a Greek transliteration of two Hebrew, terms, har- Makita, armies, mountain and Makita was a place name in northern Israel. And because of the use of the term, the Guito people always thought Armageddon would be fought in northern Israel. But that's not what it meant at all what he meant. The town that looked like that's on a now because he doesn't say Z place called in Hebrew, Tom Armageddon. He said a place. That's a big distinction. This part of his vision is not explained to him. But he would've seen Makita and been familiar with it. And he thought I don't know where this is. But it looks like Makita and it's up on now. So. That's been one of the very unfortunate thing is people. Keep trying to shoehorn the battle of Armageddon into this little place called the valley of it sounds very small place. There was one very popular book awhile back, and they had to March two hundred million people into two Makita. Well, you couldn't get a hundred you couldn't get a five hundred thousand. No, you might not have gotten one hundred thousand people, and and you gotta have equipment. So nobody this book was bestseller list. I thought to myself didn't ever excuse me. Didn't that anyone ever pay attention to the size of the valley? Vesta? Very small place. But now on the planes of. Asia. That's a different story that can accommodate two hundred million people. Well, so Jonah fat most gives us that much and then lease Lisa's hanging. So we now come to nineteen seventeen and we get the rest of the puzzle. As to what happens with the kings of the east. Now, why is came seventeen so important? That was when. The modern totalitarian state came into existence. With.

Makita Tom Armageddon Armageddon Fatima Asia Israel Jonah Paktika Guito Lisa
"makita" Discussed on KTRH

KTRH

03:37 min | 2 years ago

"makita" Discussed on KTRH

"So you can think of how they're having to appropriate their resources. The defense budget approximately the size. That's how that's how much money they're spending. That's not a country. That's just concerned with defending itself. All right now. Let's jump ahead to Fatima. We all know in one thousand nine hundred seventeen there were three Vert revelations given to the young people who claim that they saw the blessed? Virgin mary. We'll we'll talk into some of the events that occurred there, you know, they talk about the miracle of the sun that came down before one hundred thousand witnesses there was a picture apparently taken of that. But let's tie that into Fatima in those three secrets the third of which were told the church has and there's been some kind of controversy over what it was some say, it was the shooting of the pope. I don't think it was that. Well, what's interesting about Fatima? You see the book of revelations? Now leaves us off. We know that the. The really dramatic climactic events are going to take place in Asia because she says east of your frady's. And parenthetically. Let me mentioned what the were Armageddon actually made. All right. It's a it's a Greek transliteration of Hebrew, terms, har- Makita harm means mountain and Makita was a place name in northern Israel. And because of the use of the term, the Guito people always thought Armageddon would be fought in northern Israel. But that's not what it meant at all. What he meant. How that looks like that's on a mouse because he doesn't say Z place. Hold in the Hebrew, Tom Armageddon. He said eight place, and that's a big distinction. This part of his vision is not explained to him. But he have seen like eight, oh and been familiar with it. And he thought I don't know where this is. But it looks like Makita, and it's so fun now. So. That's been one of the very unfortunate thing is people keep trying to shoo mourn. The battle of Armageddon into this little place called the valley of law. It's up very small place. There was one very popular book a while back and they had. We're going to March two hundred million people into two Megido. Well, you couldn't get one hundred you couldn't get a five hundred thousand. No, you might not have gotten one hundred thousand people exactly and you gotta have equipment. So nobody this book was bestseller list. I thought to myself didn't ever excuse me. Didn't that anyone ever pay attention to size of the valley? True. Very small place. But now on the planes. Of. East asia. That's a different story that can accommodate two hundred million people..

Fatima Tom Armageddon Armageddon Makita East asia Israel Asia Guito Megido
"makita" Discussed on WIBC 93.1FM

WIBC 93.1FM

02:24 min | 2 years ago

"makita" Discussed on WIBC 93.1FM

"He was all sorts of smiling. He was very very happy. And I am and I listen we saw him in action. And kendall. Yes. And he talks to everybody. I think that's one of the reasons that he won this. I know that, you know, people are like, well, I mean, it's it's Republican Indiana's Republican state, right? That's republican. Is you get right darn tooting. So I mean, yeah, I think a lot of this has to do with the fact that he when he campaign he did a lot of what he did what politicians should do. And that is work a room man when he came into KENDALL Ville, and we said this like the day after we met him he came in. Whereas, you know, listen nothing against Todd Makita, but Todd Makita was and I think what it Luke Messer wasn't able to come not nigh Todd rakija he came in. And then he kinda he left right after he spoke. He's pretty swampy. He's yeah. He was kinda swoopy. But Brian he came in he stayed the entire time. He came early early early to mingle like an hour early. He came in. He talked to people. We stayed the entire time. Listen to all the speakers. And then stayed afterwards. I say longer than we did he probably did. Yeah. And we spoke at that. Thanks. And so he was like chatting with everybody talked to everybody to me that is a big deal. I mean, it matters. It definitely matter. Yeah. In fact, I saw some analysis, and I can't remember who it was on Twitter. That was talking about the close race in Texas saying that Republicans make a mistake by concentrating so much on these little communities. These more rural communities, and in fact, they need to not just give up on the metro areas. The big cities that are the go typically, democrat and focus more on them. And do some of the things that you're talking about like really get into the get involved in communities within metropolitan area. Talk to Penn talk to people because I think that is true. The Republicans tend to focus all their efforts on, you know, more more areas that they're more confident in where really they should be spending more time in the area. Don't typically vote for them. As specially in Texas. Which is very worryingly getting too close to purple for my tank like perhaps cruise should have gotten into like Austin? Why not get into get into where it's weird, man..

Todd rakija kendall Brian Todd Makita KENDALL Ville Texas Twitter Indiana Luke Messer Penn Austin
Hackers may be targeting your fax machine

Michael Berry

00:47 sec | 3 years ago

Hackers may be targeting your fax machine

"Holds up Tiger Woods to win the PGA championship and does Greg tells us the. Pair also shared a bit of golf history looks kept took on the best Leaderboard in major championship golf this year and beat the whole camp got out of a. Type for the league with. Adam Scott with a, buddy at fifteen and then sealed his PGA championship victory with another good at sixteen to go to clear it. Became just the, fifth player to win the US I've been and. The peachy I in the same year and did it by shooting a final round sixty six to finish. At sixteen under the two shots clear of a charging Tiger. Woods who claimed second after a stunning sixty four Adam sculpt finished third at the teen under grandma's Saint Louis There's now a, security warning about fax. Machines as the AP's Donahue reports that

Charlottesville Tiger Woods Ed Donahue Adam Scott United States Golf White House Hewlett Packard Ap Digital PGA Tiger Greg Julie Walker Makita Megan Crane Jimmy Walker Apple Virginia
"makita" Discussed on WGN Radio

WGN Radio

02:12 min | 3 years ago

"makita" Discussed on WGN Radio

"State law WGN, sports Cleveland over the White Sox three one yesterday those two teams, playing again today rubber game of the series pre-game, with anti twelve thirty five this afternoon I pitch one tenant farmer Darren Jackson at the play by play at seven twenty WGN, cubs got beat up by Washington yesterday nine. To, four they'll try to play, the rubber game this evening again over at, Wrigley, asked, someone five start. There yesterday in soccer action New. York over the fire one sip today we've got Chicago sky on the road in the WNBA, taking on Connecticut and a. Reminder the, Chicago Blackhawks Makita family and the United Center reminding fans who plan, to pay their. Respects to STAN mikita at a visitation today inside. The, United Center atrium. Makita will lie in state from eleven o'clock this morning until four o'clock fans instructor To. Enter, the building at the east entrance of the atrium. And will exit at the north or south doors of the atrium again that's bizzare. Tation today over, at the United Center from eleven AM until four PM checking WGN traffic right now got an. Accident in. Northlake route sixty four near northwest avenue one lane is open traffic anybody there, got slow traffic right now on the Dan Ryan expressway inbound between. Canal port and the Eisenhower also on the Kennedy. Inbound between north and the Eisenhower along lakeshore drive between eighteenth and Chicago, avenue things swallow up quite. A bit there. On the northbound side for personalized traffic on demand get the traffic cog web Pru by, the mortgage experts of team hochburg just search t. r. af I actually cargo your forecast from the WGN Chicago weather center sunny today high near eighty six. Sunny with a high near eighty seven on Monday right now seventy four at O'Hare seventy I five midway seventy two seventy six along the lakefront Lake Michigan water temperature at seventy eight year humidity at sixty, two I'm Roger badesch, WGN radio newsroom this is the stuff that matters on Chicago's very own seven twenty WGN WGN, radio theater.

WGN United Center atrium Chicago Makita United Center STAN mikita Darren Jackson White Sox Wrigley cubs soccer Cleveland Eisenhower Washington Lake Michigan WNBA Dan Ryan instructor
Jennifer Garner and Ben Affleck's Divorce Case May Be Dismissed

Colleen and Bradley

01:52 min | 3 years ago

Jennifer Garner and Ben Affleck's Divorce Case May Be Dismissed

"Jennifer garner in Ben Affleck's, divorce proceedings, might be thrown out if they don't act fast so Apparently if you fail to take the appropriate steps. In your case the court may dismiss your case. For delaying, prosecution is what a document says that's what, the blast has on their divorce situation you know they were married for nearly ten, years before separating in two thousand fifteen and Ben. Affleck has moved on with a, Saturday Night? Live producer and they, do have an amicable relationship. You don't hear anything. About them do you Jennifer. Garner, has said we're definitely. A modern family we're, doing really well it has to be children I you have no choice, it has to be but if they don't actually take another. Step, forward in the actual divorce, then it's going to be thrown. Out and they die file again I feel like I've been I won't speak for you Elizabeth but I think I know that there was, a long time that we were holding. Out hope, that the fact, that, this divorce wasn't progressing I'm, still holding out help me too I think because I'm like. Okay Going to happen, yours know I mean he's. Dating someone else I think she's she's done with having, him as one of the children I think that. I think probably more maintenance than, the children? And let me just, let me just say to. All the men out. There all four of you. Who, are listening to mytalk. One zero seven one, right now and I'm speaking particularly I think to heterosexual men simply because, that's the ones that I'm married to if you become one. Of, the children if you become, more work than one of the. Children it is the least attractive thing that you do it for your wife the kiss of death it's usually if it's like if she's, thinking like things would be easier without. You that is a bad, sign And that is why bet, it was like with Ben Affleck now and you're adding in addiction issue, which makes it very. Challenging and that does I mean when you add an addiction it does make that, person much

Bill Murray Nicole Kidman Gretchen Carlson Ben Affleck Jennifer Garner Simon Peter Simon Peter Simon Minnesota Elizabeth Roger Ailes Makita Carly Simon Paul Simon Producer Massachusetts Martha Demi Levato Maria Chicago
"makita" Discussed on KNBR The Sports Leader

KNBR The Sports Leader

03:32 min | 3 years ago

"makita" Discussed on KNBR The Sports Leader

"Yeah chick earn on the call. Baby let's. Go that's classic right. There, hey where's dubs are warriors Lakers you in this. Year I'm in on. That let's do. This let's get. That so Cal nor Cal thing Bruin. Again, yeah I'm down with. That how 'bout Wayne, Gretzky and I know that hockey is, in you, know quite where you know folks a place like some of the bigger, sports but for, me I'm a hockey. Guy love Dan, Rutz announce, GI Randy Hahn all the guys associated with the. Sharks I love the NHL played hockey for. Years when I was, younger I've got a lot of passion for it and growing up watching Wayne, Gretzky and you want to really look at a discrepancy in a record. Book look where Gretzky stacks up and then look where Everybody else stacks up. On these on these, records how about let's take you back to twenty one year old Wayne Gretzky, scoring his seventy seventh goal to set the record for most goals in. A season this was February second nineteen eighty two Granderson bill Favors get it back There will be By the way RIP STAN mikita STAN Makita. Passed away today just a. Chicago Blackhawks legend. STAN mikita donuts if you've ever seen Wayne's world stan- Makita. Losses like today so RIP STAN mikita. By the way Wayne Gretzky nine. Hundred eighty five nine, hundred eighty six two hundred and fifteen points in the season e adverage one point nine two. Points a game and how about this in? His career guys Wayne Gretzky twenty eight hundred and fifty seven points number two on that. List behind him, Yaar mere Yager nineteen hundred and twenty one jank you remember when when Gretzky broke d goal record? In the. NHL, oh yeah. Yes I, do I mean Wayne is just an. Absolute hockey player he beat. The great philosopher. Zito's s spa. There you, go all right good. Stuff right there. Beaten Phil. Esposito all right it wouldn't be an. All time list if we didn't get the goat on their, Jerry Rice baby what a two hundred and eight touchdowns most, in NFL history And. Let's hear Jerry Rice torching the chargers in Super Bowl twenty, nine this was January twenty ninth nineteen ninety-five it'd be DJ Taylor out to, the left. Side and Ricky water to the right. And apply young Oh Yeah Twenty. Four Another. Record yeah Jerry Rice playing the biggest in the biggest games, and yeah we just got a text coming in from, fallen five Jerry Rice total, touchdowns yeah you better believe that's going to be on the list as you. Well know. All right and then finally Cal Ripken breaking Lou Gehrig's record twenty one hundred. And thirty one games consecutive played finished the streak at twenty six hundred. And. Thirty two let's take you back to September first. Nineteen ninety-five and this was widely regarded as one of the moments that kind of put baseball back in the. Public consciousness after let's say things didn't go very well for about. A, year they're you know when there was no fricken, World Series foul Ripken ladies. And gentlemen. Oh yeah he had an encore, e..

Wayne Gretzky STAN Makita Jerry Rice hockey Cal Ripken NHL stan- Makita Chicago Blackhawks warriors Randy Hahn Lakers baseball Granderson Dan Zito Esposito DJ Taylor NFL Phil
FBI releases Carter Page's surveillance records

Guaranteeing Your Retirement with David Graham

00:56 sec | 3 years ago

FBI releases Carter Page's surveillance records

"News Radio I'm Karen. Makita the FBI releases heavily redacted at Pfizer records and former Trump campaign Carter page one thing that is clear in the unredacted sections though is the democrat funded Steele dossier played a significant role in the initial foreign intelligence surveillance application which was submitted in October two thousand sixteen the FBI stated. Quote it, believes page has been, the subject of targeted recruitment by the Russian government to undermined. And influence the outcome of the two, thousand sixteen presidential election in violation of criminal law FOX's Gary Tenny Texans are about to get, a break. From record-setting heat waves day again in Dallas one or two by Monday you're down to say ninety six ninety seven down across, parts of Austin as well so it does get. Better FOX meteorologist Rick reichmueller meanwhile more heavy rain in the forecast for much of New. England this coming week Fox News. We report you decide NewsRadio nine seventy.

FBI Fox News FOX Gary Tenny Makita Pfizer Russian Government Newsradio Steele Carter Rick Reichmueller England Dallas Austin
"makita" Discussed on .NET Rocks!

.NET Rocks!

03:52 min | 3 years ago

"makita" Discussed on .NET Rocks!

"The thoughts i had was should i if i only get a couple of hours a month work on a given maintain a given up compiling the framework into the app makita true execute seems like a good idea in that sense it's like now i'm just not vulnerable to framework changes in those sorts of things this app stays the same i i hate to see people do that because it blocks you from security fixes right and so what i'd like in this is where we're going with with with well we kind of you know we're there dot net core we just want everybody to we want more people not everybody unfortunately more people to be able to be on dot net core but in the dot net core world you target a framework and it it works to find that framework now there's some complex rules around what happens and you know if that frameworks not found but if you say you wanna run on two and two zero and to one or both on the machine you'll run onto oh and that if to get s security fix where it's like toto three then they'll say oh well the tutto have is to dotted up three all run on that and you'll run with security fixes so i think that the this model is really good and i ask bill the beans on something on that would you like to do that definitely uhhuh spill the beans here okay so one of the things people have been asking us for like crazy okay is that we produce an executed for dot net cores so just to remind people that don't know currently what we allow you to do is create what we call a framework dependent application which is an deal it's a it's not a deal that goes onto the machine and then an app host you say dot net space deal l name and the app host starts up your deal l at the reason we need to do that is because was the opposed is platform dependent and your deal l is not your deal l is binary compatible across every place we run so that's the reason that we have that to get around that you can specify the platform we call it the runtime identify or the rid you identify the platform you're targeting and then you can put the whole run time inside of that and that creates a supergiant execute but it's an execute now it has to be targeted to a specific platform it is no longer a binary compatible crossplatform so that's what we've had available what is going to be available we're hoping in we're hoping soon i'm not gonna i'm not gonna predict win but we're hoping soon is we're we're working hard on the experience of a i'm gonna call it a framework dependent execute able right now because we haven't named it and it does describe what it is so we're basically taking the app host and baking it into basically taking the app post in the deal l and baking them in relation to each other so you have a version of the app hosts that is baked to your dale i i don't know if that's the best way to say it but it's an execute that has the name of your dell it can have an icon it can appear in processes as that and you can actually start that execute able so it can double click all the things you want to execute able will be there now the app host and that therefore now your entire this entire thing this framework dependent execute able it is platform dependent it is you're going to specify rid and it's going to be specific to that rid so we have to stay to deal to be binary compatible across our platforms but we have we going forward we're looking forward to these two ways to deliver execute ables so that you can't have an execute able that does rely on the framework that's on the machine which means that you have a way to reference a framework and get it security updates so i'm super excited that we're going to be having that.

makita
Basics of sports betting in New Jersey

The Sports Zone With Pete McCarthy

01:21 min | 3 years ago

Basics of sports betting in New Jersey

"And today new jersey officials are confirming the presence of clinging jellyfish and yet another of the state's waterways the state's department of environmental protection says mom clare state university researchers tested water from the makita river located in ocean county and ken confirm the clinging jellyfish are there in previous years monmouth county shrewsbury and manosque kwan rivers were found to have the invasive species as well native to the pacific ocean clinging jellyfish are difficult to spot and water but pack a powerful and painful sting they aren't usually seen on beaches are sandy areas but rather back bays and rivers where folks are encouraged to use waiters or boots so as to avoid being stung james flippin for seven ten w o r people in new jersey reacting today to governor murphy signing the sports betting bill feeling lucky regarding status officially the second state to legalize sports betting governor murphy signed the legislation yesterday but there will be no wagering before tomorrow when the new jersey racing commission holds a hearing to review regulations establishing sports betting at race tracks monmouth park expects to be ready to roll and take the i bet thursday morning sports betting is expected to bring in thirteen million in annual revenue with beck taxed at eight and a half percent alice stockton rozina seven ten wwl and the forecast is.

Makita River Ocean County KEN Manosque Kwan Rivers Governor Murphy Monmouth Park Clare State University Monmouth County James Flippin Beck Seven Ten W
"makita" Discussed on Sports 600 ESPN

Sports 600 ESPN

02:07 min | 3 years ago

"makita" Discussed on Sports 600 ESPN

"You get a little threes but i like what he's doing giving them all the love makita warned three or four championships granted don't get don't get me wrong he he's a solid coach given that i feel like he's done it out the job saying amount of praise he's giving you think he don't want they don't give and that's the danger outcome based thinking which is the governing body in the nba we the the the ring counting that goes on there shows you the outcomes are really the only thing that people care about going back to the lebron james argument as long as you've got the outcome that we desired your process is is really irrelevant just get there like doing math on a math test in saying you don't have to show your work just give me the answer that i need and we're good so that's all they want and for to hear that comes rob pairs that makes a little more sense from someone that's looking from the outside brian scout brownie bringing it up i think more just the idea that he wants to make sure that the players that are going out and doing the work are getting their credit but i feel like we've also turned a corner on that because now we're at the stage to celebrate that where we have the time and resources to look at a team that i think most people as we saw the injuries to the stars and we saw even the injuries to players like marcus smart and some of the others down the list continue to write them off and continue to be proven wrong and so we attributed the gap between what we saw what we perceived and what actually was as coaching and part of that can be right but that also reflects our lack of knowledge at times of what makes nba coaches as great because it's a little harder to quantify and point out than it is in the nfl but that isn't reading the reason all of a sudden turn on the man now who has more than proven his worth by any metrics when you talk to the true experts that can look at dissect this he is a guy that has come out and affected the game it affected it amidst all of the roster changed in turnover because of injury for them in a way that.

makita nba nfl brian
"makita" Discussed on Money Radio 1200AM

Money Radio 1200AM

02:29 min | 3 years ago

"makita" Discussed on Money Radio 1200AM

"At legacy jewelry company and i'll tell makita champion jan stocks were luxury meets loyalty a present or former employees of the government you're describing describing are well kind of as of robinhood you could beat a peasant but if you beat a noble or a member of the ruling elite that was a very serious crime well they've created the same thing government people are more privileged than the rest of us you're describing orwell's animal farm where all animals are equal but some are more equal than others that's exactly what you're describing orwell told about this is exactly what you're describing i had no idea until you sit down and think about just how bad it's become the government is our controller and we're supposed to control the government they control the money they control the wealth they control everything which serves working for the government yeah we have gone down the road to search them and we're pretty well taken at this point to be that the people would be big the government would be small and we'd be allowed to live our own lives and keep our own money now all that's been reversed money that goes largely to government employees even money that is allocated for the poor every dollar spent on the poor about eighty one cents never reached the poor they reach the bureaucrats and others in the twin the middlemen the social workers one hundred thousand dollars a year government bureaucrats and so on they get most of the money the poor are just a pretext for they're having a nice steady life which is why they do everything in their power to keep people from dropping out of government welfare programs but of course we now have a world where at least officially half the people pay no tax at least no income tax in this country which is which means they basically think of the government is just a big free goodie dispensing machine they don't realize that when they take their welfare check and go down to buy something they're paying the tax because we've worked out this scam where the business people will be taxed very heavily they will then add the cost of that taxation is the cost of business and onto their products and then when you pay a high price for their products by tire that you would have otherwise stated to you're paying the tax that's what the.

orwell makita one hundred thousand dollars
"makita" Discussed on Erin Burnett OutFront

Erin Burnett OutFront

01:43 min | 3 years ago

"makita" Discussed on Erin Burnett OutFront

"Fascinating rescue race yes attest outside artistic money to should note this blankenship yes he's outside message he's also spending a lot more money here's charlie general morrissey his congressman jenkins is the democrat appear but in the republican primary it's these three the cows and he's spending two to one plus over all of his rival so is it the outsider message is it more money we're going to count the votes so now you're not west virginia which is going to be so important indiana aweso polls their closed at the top of the hour as we await results what is the latest there that's another very important one there's some of the polls have already closed in the end so let me bring that up for you because we're getting some results and again this is one of those handful of seats democrats you'll mansion in west virginia democrat joe donnelly in indiana state donald trump won west virginia by forty plus donald trump won indiana by nineteen republicans think and what they think will otherwise be a bad year here's a chance to pick up some seats get a republican in a senate seat now held by democrat very similar dynamic keep an eye on this dynamic congressman todd makita congressman luke messer businessman mike bron the outsider yes he served in the state legislature but he's running mike donald trump more subtle saying i'm a businessman there cardboard cutouts he says look at this he's at forty one percent with almost thirty percent of the vote in an errand these marches of held essentially since one percent of the vote was in is more vote comes in the margin has barely moved so mike brown businessman outsider again running it up to be the republican nominee i just want to show you some of it's the outside or message but it's not overplay it money mike bronze spending his own money look how much he is put into the race compared to the republican congressmen and the other republican congressman so the outside or message has appeal but guess what money helps us the follow the money we'll see how much that proves to be the path to.

morrissey jenkins west virginia donald trump indiana mike bron congressman charlie joe donnelly senate todd makita luke messer mike brown forty one percent thirty percent one percent
"makita" Discussed on News-Talk 1400 The Patriot

News-Talk 1400 The Patriot

03:18 min | 3 years ago

"makita" Discussed on News-Talk 1400 The Patriot

"Date one of my daughters respect ban a healthy appreciation for the second amendment sir we're going to get along just fine brian kemp for governor and that primary involves luke messer and todd makita who were congressman and mike braun who had been a member of the state senate mike rana's pouring a lot of money into his own campaign and he's come up with ads like this i'm mike brown and i approve this message meet the swap brothers congressman todd makita and congressman luke messer todd and luke fasttrack obama's trade deals and voted for bill there's more blue to fund abortion provider planned parenthood and obama's executive m's touch go conservative he's a fraud luke's no conservative a liberal okay and this is wrong and so unfair if you look at these two guys both of whom would be fine candidates to replace joe donnelly who was the real liberal in the race he's the democrat that they're trying to unseat to attack spend big money to attack luke messer and todd rakija who are among the more conservative members of the republican house caucus it's outrageous and what he's talking about he says oh they voted for planned parenthood a what he's saying is they voted to approve a budget that yes had planned parenthood in it because the alternative to approving that budget was approving no budget at all and a government breakdown and the government because this is what happens in washington d c and what is if my braun comes to the us senate what what is he going to do the the the whole idea by the way you notice how many of these ads virtually all of the ads we've played have sort of that twangy guitar music the country and western sound in the background john does this make for populist authenticity one eight hundred.

todd makita republican house joe donnelly fraud executive congressman luke messer todd mike brown senate brian kemp us todd rakija luke messer obama mike rana mike braun congressman
"makita" Discussed on Well This Sucks

Well This Sucks

01:47 min | 3 years ago

"makita" Discussed on Well This Sucks

"That was a nice those are probably the most polished of all of our mediums maybe there's a lot of thought into that one we did a lot yours were definitely better than mine i can already tell you how to backdrop you had like some thought for set design i was all running gun i was gorilla like the banks the banks trinity but anyway we digress but nessa hello did we lose you know i'm here so we don't know if you were in the confessions that's ever known unsolved mysteries a hand maybe we should make a new video twelve history reunion i know i have that i at some point of choir some type of camcorder i think i took my mom not really sure i know i think she willingly accepted it now but we would i recorded it was like when we would go to each on like the makita at the pierre that like i never really asked permission i was like i'm going on his house after school gosh i remember that yeah i on first street appear and we would jump off of it like frigging lunatics you jumped off the off the pearson you're talking about and jumped off of it and one time when i jumped off of it i was climbing backup with the rocks and there's so dangerous and slow shari and my leg fill through a hole and i got a big gash going down my leg and this was a junior year in the middle of summer and then home up with somebody.

makita shari
"makita" Discussed on Kotaku Splitscreen

Kotaku Splitscreen

01:45 min | 3 years ago

"makita" Discussed on Kotaku Splitscreen

"They key makita just god it's so cute in in right now it's on playstation vr but i believe it's going broader soon like a win very but you see the potential of those things then and it really is about it has a real ability to immerse people and i do think that that therefore the storytellers have to lean into that side of it a ton and be thinking about okay well what is the things that we can do that make you really feel like you are part of unfolding it and i think that's going to be more important but probably also that gets to be a nice place where it has a nexus with the ambient of storytelling emergent storytelling i will say it it's interesting like when i was at xbox they were working on what became hololens and hololens sort of went back and forth between his it sort of is it a mixed reality as it is a sort of vr it's sort of gone through different things working on several things that never came out because hololens fundamentally changed over time but you did realize like there are rules that totally apply from all the sort of game design stuff that a game designer would ever learn and then there are things that totally you have to really question everything it's gonna take a while for people to figure it out like i just the core of it is and it the hard part is is there enough of a market there but most of the our companies aren't banking on the thing that's coming out right now to make bank they're thinking about the next one and they're trying to learn a bunch of stuff now so that when we do in theory hit a critical mass of headsets out there that they're ready for giving investors are known for being patient and.

makita
"makita" Discussed on Double Toasted

Double Toasted

01:30 min | 3 years ago

"makita" Discussed on Double Toasted

"Oh no you know what before we go on leads reminded know once you both felix god knows but i thought i was talking about felix new then let people like me leaving here why are you putting attention on felix washing just keep going man last night i had to go get mine mike key from felix i game makita studio so that he could come in and do his thing when it peaked bothered me about and somehow it still here yeah i know here the furnace it got us kicked out of here i was pretty proud of him of course than true felix fashion he just lost it again no no he lost the first no no no no no one that you've heard about lasmaida okay innings he say that he lost all his key lost they got stolen yeah they all ongot's the low he lost them all on got off yeah he lost all of india he was round his bike and here's the thing i was like man as he because he was at this what told i see it as it yet media you now where attila must as it may you you on my time now because you lost at king i'm not giving you know when he like mere no look almolki's and i was like yeah i know actually fucking phillies levy hey mark ouallam concerned about mikey later yolk he's a yoga mock he is not bad i was like that is so felix w man and other than i was like your komo you know it's not surprising that he lost his nose was hilarious is the fences hair loss all my key.

felix india attila mark ouallam mikey makita phillies
"makita" Discussed on This is Product Management

This is Product Management

01:53 min | 3 years ago

"makita" Discussed on This is Product Management

"So once i moved back to the states i worked for a company called newton also in education technology that was great i took a short stint on small start appearing the city building ios an android apps because just not something i'd have too much experience with as a product manager and i've always tried to get like different aspects of a business so by the timing out to troas actually lose managing the enter priced product which was an awesome opportunity for me to just get closer to what i consider the more business side of product management and now i lead the product team there uh uh makita began her career in marketing after volunteering to help us support and she way she took on product management roles of a tech companies first in shanghai and then eventually in new york with a stop in europe than between i asked her what she thinks are the key ingredients of a highperforming team so i think about this i tend to think about it in the context of building a product management team as in a team of product managers and also what it means to be a product manager in the context of crossfunctional or development teams and i think those are slightly different now try and touch on both as we go and make the distinction in terms of building a product development team which has been most of my career i think the one thing that i come to terms with the fact has not been formulaic ever they're just tend to be a lot of factors that are changing it depends on the size of the company the size of a team you know how junior horse have senior there are a lot of fast it's fair so i tried to distill it into a couple of things that i think are really important in that context the first is around focus so i think as a product development team working across different functions focus is incredibly important because at any given time there are so many things especially if you're in a startup environment or in any fast pace environment that things are constantly changing so the ability for a product manager and.

newton ios shanghai new york product manager android makita europe product development
"makita" Discussed on KTLK 1130 AM

KTLK 1130 AM

01:41 min | 3 years ago

"makita" Discussed on KTLK 1130 AM

"Little olive oil nothing excessive there's a thing about oils are very very unstable to oxygen antiquites and to white so if you're going to use a vegetable well you never wanna heat it you wanna make sure it's super duper fresh and you want to make sure that kept in the dark place so if you use your you don't want was our tricky they're very very tricky butter is pretty much the best way is going to be the best oil would you can't put butter on a salad nightcap up butter on a salad salary you're gonna use if you're going to put that well on your salad just very small amounts it sure thrash make sure it's uh kept in the dark place and make sure that it's not that he did anyone now he doesn't like coconut oil yet i've got some calls from people who swear by it that it helps their brain power now there's a there's a lot of controversy about coconut oil coconut oil is a rich source of something called mcp that we used to use when i was when i was bodybuilding back and in my younger days bodybuilders weightlifters will use mcp for energy emptied her very fascinating it's a very fascinating fat the founding coconut well you can use empty teeth like a regular fat and you'll get energy but you won't get fat it's like the perfect that your body can unit for energy but it won't put the fat on your gutter on your by the way a regular fat is it's a way of getting the energy from fat without uh without getting the downside of fat and it's perfect for the qito tank guy if for folk we're doing that makita tank guided than a radical wait eat i don't know if you we have time to talk about the key to tank dive you will do that when we come back after the break pharma's done with us we've got another final segment to go with your phone calls with him as well from criticalhealthnewscom and again the phone number to call for help and assistance it is packed tonight they say they've never they've never seen that this busy.

makita