in search where we're working has some unique constraints because we generally have a very high volume of queries and very strict latency requirements, like real time. A lot of machine learning is run in batches like once an hour or so, but when you have to return things in real time with very large numbers of queries, things get a little bit more interesting. So I guess I'll give a little background about what Mercari is and the situation we were in when we introduced our machine learning model. So Mercari is Japan's largest consumer-to-consumer online marketplace, like an online free market, flea market. Our vision is a circular economy, so sustainability. We want to reduce the number of things that go to landfill, reduce the number of new things we have to manufacture by allowing people to resell their things instead of throwing them away. Our net sales are about 150 billion yen, a little over a billion dollars US. And within search we have over 20 million monthly active users, so unique visitors to our website every month, hundreds of millions of active listings in our catalog and thousands of queries per second, and our all-time peak is over 10,000 queries per second. So that's kind of the landscape we saw when we had our first machine learning model that we wanted to put into production. Our initial original architecture was a traditional term-based architecture based on elastic search. Elastic search is an industry-wide standard, very widely used, but it's term-based. That means that the keywords that you enter in the query are what are returned. So if somebody had not written that exact keyword in their description of their item, you wouldn't find it. So that was a big limitation of elastic search, although it was still working very well for us for 10 years. But our challenge was then to take this traditional architecture and add machine learning into it. And so now I'll pass the mic over to Tio. Thanks, Ryan. And so as Ryan mentioned, my name is Tio. I'm going to be discussing the next part of our talk, which is the problem. So as Ryan mentioned, we have this existing search architecture, but why do we need AI in this system? And so while this was very effective, this was Mercari's search backbone for over 10 years, there were a few major shortcomings. So elastic search is a keyword-based system, and because of that, it kind of falls for things like this. So these are areas where AI can help. For instance, ambiguous keywords, semantics, saying cool toys for boys, and personalization. And so with keyword-based matching, you can't resolve any of these issues. So again, going back to ambiguous keywords, in Japan, One Piece is a type of women's clothing, but it's also the name of a very popular Japanese manga franchise. And so if you're just using queries, matching the query to relevant items, which gets returned? Maybe both, right? When you only wanted one of the other, very different items. And then semantics, again, cool toys for boys. Maybe this One Piece bag is a cool toy for boys, but that's not in the title or the description. So it will never come up. And then personalization, again, there's no real easy way to personalize results to a user just based on a query itself. These are all ways that we knew AI-based methods could help improve the search that we had at Mercari. And so the question is, where do we start, right? So we have an idea, let's do AI in search at Mercari, but how do we do it in a world that wasn't designed for it? So the search architecture was designed originally without AI in mind at all, right? So there were no easy ways for us to integrate AI. And because Mercari is, again, Japan's largest consumer marketplace, at the scale that we had, we had very strict performance requirements. And so our latency budget was, in our case, just tens of milliseconds, which is really, really tough for machine learning models. And we also didn't have access to, again, no easy hooks for AI, optimal ways of serving these AI requests, right? That's not really built into the search architecture. And so the final thing that we wanna discuss is these are kind of like infrastructural constraints, but the main constraint we had was user search experience at all cost. So no matter what we do, the user search experience must be as good or if not better at each step of the way. And so we always want the situation on the right and not the left, right? That's exactly what we're trying to do by using AI to improve search results, right? And so this was the hardest part of the, I guess, the constraint, but I think it was the one that served us very well to deliver the actual business impact of our system as opposed to just say model performance or something like this. And so what is the first way that we decided to apply AI in search, right? With an existing search infrastructure that didn't have AI. So enter search re-ranking. This was the original place that we felt AI would add the most value, highest ROI, with the simplest least-insurance of integration into our existing system. And so our colleagues Alex and Norbert actually got into the ML side of this talk on, I think, Thursday morning, the second talk of the day. And so there's two aspects when you consider adding an ML system into an existing search architecture, whether the Elaxis search result, the original result that came back and be considered the first phase of retrieval. And now we're adding a second phase where we're gonna re-rank those results on top. And so essentially the goal is, we have this set of results. Can we surface the most relevant ones to our users first, which is even more powerful in e-commerce context, right? So when, say, for instance, if you're on Google doing a Google search, maybe you have a little more patience to go to the next page, the third page for search results. But for an e-commerce platform, it's very crucial to have the most relevant results first. Which means in the long term, which is ultimately serves our broader purpose of matching users to the items which they are looking for. And so with the first concrete use case for AI and search in mind, we go to the next step, which is the evolution of this ML system, right? So how do we grow an ML system while again running the business and sharing a really high user search experience? And I wanna emphasize that the focus is always on least risk, very iterative development on the highest ROI areas that we see in each iteration and then going from there. And so given our existing infrastructure, the first thing that we did was the simplest solution, which is if we do have a machine learning model, we can integrate it directly within the search server. And so this had a lot of benefits, but there were a few drawbacks. For instance, we tightly coupled model development with development of the search servers itself. The code base is massive. We have many developers working on it concurrently. As you would imagine, such a key part of the Mercari platform, it has a very high release cadence. And so we had to be very careful when we were developing. Along the way, this whole journey was very measured. We wanted to make sure that we didn't have, we weren't able to provide major features out of the gate, but we also preempted any major incidents, right? So in production, we were running very reliably the whole time. So because of that, I mean it very difficult, we went very, very slowly at this stage, but we went, right? This was a step in the right direction. And I do wanna mention that, because in keeping with the theme of this talk of open source for each of these stages of system evolution, we wanted to just include one of the many libraries just to highlight that kind of brought us from that stage to the next stage. And so in this case, our search server is actually written 100% in Go. And so we're very limited in the libraries we could use, but we did find a very useful one. This is called leads. And so in this case, we just developed an internal component that used this library to serve a light GBM model directly in the Go code in the search server. And so it was very simple to implement as mentioned. There's just a function call, right? To this component, which served this model. With that being said, again, there were problems with the solution that we addressed in the next phase of the system. And so in this case, it was characterized by really us going all in on our microservices architecture. So Mercari is very, very heavily invested in microservices, very Kubernetes first company. And so it was very easy, very natural choice for us to now split the ML model from the search server to a custom Python microservice for model serving, which was again, very simple, but actually unlocked huge benefits. Now we could develop independently from the rest of the search team from that huge search code base. And again, originally it was just a function call to the model in the existing kind of search server. Now we just easily replace that function call with an RPC. And now since it's going over the network, we have a small timeout. And now we introduced the notion of a baseline response, which in this case is elastic search rankings. And so what's very useful in deploying ML productions or ML systems to production is having some kind of really simple baseline that you can iterate on top of. And because we already have elastic search results, this was the natural choice for us and went back to our do no harm to users kind of tenant, right? So by definition, this re-ranking system was implemented. In the worst case, it would do no worse than what was already in place currently. So again, this key aspect of having this baseline response helped us to really iterate quickly in this stage and the next stage. And we also took the time to, as we're building out our POCs to implement basic production, kind of in this case metrics, but production features that help us in the future. So in this case, we add more observability to our system, but we're constantly paving the path to a more production system in the future, right? Along the way with each iteration. That wasn't strictly necessary, but we knew it was a good thing to do at the time and very natural. And we wanted to emphasize that these key points is when we add the complexity because now we realize there's an actual need, right? And so in keeping with the OSS talk and because we moved to a Python microservice, this gave us a lot more flexibility. And so using re-ranking, we went with TensorFlow re-ranking. TensorFlow, for those of you here who aren't familiar, is an open source library made by Google. It's been open source for many years now, industry standard in a lot of ways. High performance, it's been validated, has very active development. So again, a natural choice for us going forward and really kind of helped us to really get through this next stage successfully. And so with this being said, the system was still very basic and there are still many ways for us to improve on the system. And so this is the next solution that we settled on. And so as mentioned previously, the search server with the model baked in features were computed within the search request. And so we realized a lot of those features were, well, the computation of the features was very redundant. And so if now we have, say, consider a feature store like a distributed cache for inputs for a model. And what we iterated on, which is kind of not present in the slide, I'll go over it really quickly, was again, very basic next steps. And so instead of computing features within a search request every time, now we can pre-compute them. In this case, we used a big table, which is cloud managed on disk storage by Google. That was a lot better, but it did not meet our current latency requirements at the time, reliably I should say. And so we then upgraded from that to using Redis, which is an in memory key value store. And it served the same purpose. We were able to keep the interface the exact same. And then that was the key to further improving the system's performance to meet the aggressive latency requirements that we mentioned earlier. And in addition, as mentioned before, we have timeouts on the re-ranking request. We also have timeouts and fail safes on this feature store component. So we can get into it a little later. There's a few details in there, but essentially with each abstraction that we added and each layer complexity, there was always a safeguard to fall back to that previous more simple layer that we had before. And again, further improving our monitoring kind of observability suite along the way realizing kind of what metrics we needed to track both operationally and for model performance. And it's worth emphasizing here that a major bottleneck that we now had is again, I mentioned, oh, we're developing very quickly, right? That meant that we had to do a lot of AP tests, which is essentially, you know, we have something that's in production. We run something that receives a certain part of traffic, this new feature, and we see, oh, does this feature raise any of these key metrics that we have that are related to the business. And because we were able to develop quickly, we were able to develop and test new features quickly, but now the bottleneck wasn't necessarily feature development, but it was actually the AB tests themselves. So we could develop features very quickly, but each new AB test required a new model which needed essentially to be deployed as a new microservice and set up the same way as we set up the original model, which you multiply by the amount of models in any given AB test. So that was actually taking us about maybe a full engineer's time per quarter, and even with that, it would be run to two AB tests maximum. And so that became the next bottleneck in this phase of our system evolution. And before I go on to the next phase, I do wanna highlight the next open source library that we use that was very high value. Again, features still resettled on Redis as the actual backing technology. And so a very simple, just to go Redis, which is the Redis client for the Go language. Nothing really special to say, which I guess is kind of the main point, right? The main emphasis was it just integrated out of the box really easily with our current cloud managed Redis instance, and it had really great performance. And so again, open source along the way, we didn't have to reinvent the wheel on this one either. And then finishing up with the systems evolution, this is the final iteration currently. We have many more in the future, but this is where we're at right now, which is adding selling core for serving and Istio for model routing. And these together will alleviate that bottleneck that we mentioned previously. So instead of having to set up new microservices and Kubernetes configurations for each model that were AB testing and then tear them back down again, we can move all that manual work and automate that. So the feature flags we mentioned earlier, those can get sent directly as is without us modifying any code. And then Seldin can actually just with Istio's help route those to the correct endpoints and we can just spin up and down AB tests, hopefully in order of magnitude faster. And so again, iterative development, this I think will allow us to iterate even more quickly and really help us to now not just develop the features, but AB test them and now release them to really improve that user search experience a lot more. And in conclusion, we believe that ML Enhanced Search really is worth the effort. So if you have a traditional search architecture, ML can really add a lot to that and I can't really get into exact numbers to show how worth the investment it is, but as Ryan mentioned earlier, annual net sales are on the order of a billion dollars. So even just a 1% improvement in that direction is pretty significant, right? And so again, this went back to our very iterative approach to this system. So 1% decrease would also be horrible, right? But at the same time, because of we went iteratively along the way, we were able to prove our system out, release its production and have positive lives. So it definitely was well worth the investment in our case and we would consider, we'll urge everyone here to consider a top down integration of AI, right? So while it would have been possible to totally rewrite this architecture implemented from scratch, that would have been really dangerous and I can't feasibly think of a way to do that that wouldn't have negatively affected our users, but with a top down system, we can slowly integrate into search and now over time, you have an AI based search system that is essentially as if you were reading it from scratch anyway. And again, in doing this top down integration, this iterative development, you can really balance that engineering business trade off, which if you go in this way, we think maybe very rapid iterations. You can start with the simplest highest ROI features first and at each step just kind of laid that minimum amount of brand work necessary for the main stage. So don't over engineer your systems, but at least a little bit make it extensible so you can evolve to that next, overcome that next bottleneck that presents itself. And then I wanted to finish off with this quote that I really like personally. It's from the great John Maxwell, which is one is too small a number to achieve greatness. And I mentioned that because Ed Mercari, one of our values is an all for one. Literally, it's all for one. It means just teamwork, everyone helping each other. So a system at this scale would not have been possible without the help of many, many teams across the organization. So I wanted to say thank you to them and to give back and keeping with that spirit. We're also building the system to serve search in general. So it started with our smaller team that was in search. Now a lot more search engineers can be empowered to add machine learning to the overall search system at Mercari. And once that's in place, we are aiming for an organizational wide platform so that really AI can permeate much more easily across the org and reach its way to all of our users. And so again, an all for one, one is too small a number to achieve greatness. We wanted to thank the open source community. So as we wanted to emphasize along the way, this wouldn't have been possible without open source, right? Mercari, search ML at Mercari would not have been possible at least at this speed with this quality without the open source software that we use. It's almost entirely built on open source libraries. And in keeping with that, we at Mercari also open source our internal tools and resources back to the community when possible in addition to as engineers contributing PRs and bug fixes to the libraries we use because Mercari was founded on the premise of a circular economy where everyone can buy and sell. We also believe in a circular development economy where anyone can contribute and hopefully anyone can build these scalable ML systems without having to be at the scale of Mercari. And so we wanted to give back to that and really kind of pay it forward. So we believe open source was the key differentiator in our case and we really hope that the information in this presentation was valuable to the open source community present here today. Thank you for listening and we are excited to answer any questions that everybody may have. Thank you. Vic, so some questions for Rick and to you. Thanks for the sharing. So I just have one question about the search method that you're implementing. Do correct me if I'm wrong, but you're actually using the ML models to re-rank the results based on your original results. So does it mean that it will, in most cases, be slower than your original method without the ML models in actual product? Yeah, exactly, 100%. And sorry, what was your name one more time? Sorry? What was your name? Billy. Sorry, one more time. Yes. Billy. Billy. Yes, okay, yeah. So that was a great question. The short answer is yes and that's what led to our strict latency requirements earlier is that we kind of did the bookkeeping and said this is the only permissible amount of latency that can be added to the existing system, right? The current latency metrics that the system without AI was performing at. Thanks, I'll just add to that. We did some experiments to determine how much extra latency a user would tolerate. And we found it was pretty low, but not zero. So that was our opportunity to add in, we're ranking on top of the existing system.  That is a good question. In general, we could say our business metrics were sales. So the more we sold, the better that our product people were happy. Hopefully that answers the question. Yeah, I guess that testing or that validation, you only get once you put it into production, right? So perhaps to your question is how do you test that in advance to know that you're not gonna miss the mark once you roll the model out? Okay, so just pass it back first. Hi, would you be able to share a little bit on the SRE side and all the performance redundancies that you have to put in place? Sure, we'd love to. Is there a specific area that you're considering?  How do you do the upgrades and things like that? Yeah, great question. So we actually run everything in Kubernetes including elastic search was a little, maybe non-standard these days, but everything is in Kubernetes. We do canary deployments and rolling updates of our models themselves. And so if they break, we can quickly roll back. And then we use DataDog for monitoring our various metrics latency, QPS, those kinds of things. And we get alerted sometimes late at night when we're not meeting our metrics. So it gives us a good incentive to not go too slow. Yes, but does that answer your question? Yeah, so our main state is our feature store. So we compute features about our listings and we store them and like Tio said in memory store, we update it regularly. So in addition to caching them, we directly compute them offline and write them to our store. And that is the only stateful part of our system. Thanks for the question. Thanks for sharing your experience of integrating your machine learning model with your search and season, right? And you mentioned you use Microsoft, Microsoft and you use Kubernetes, right? So would you please share more details about how you use Kubernetes to organize your microservice? Thanks. So that's a good question and maybe a better question for a platform team. So I can only really give you at a high level how we use Kubernetes internally. Is there a specific, I guess, question within that that you were thinking of, specific topic? So my question is probably you, my question is you mentioned you use Kubernetes, right? Yes. To organize your microservices. So I say would you please share more details? How do you use your Kubernetes like to organize your microservice for a CSDO? Just way quickly to, we quickly to change your system to implementation system and share more details about that. Sure. I can try to give a kind of a high level. So at least from the ML productionization side of things, it's a very simple solution where we just, create another set of Kubernetes manifests. We have kind of an automated templating system internally that will help us to do that. So in our case, as mentioned earlier, when it'd be testing these models, there's a lot of kind of manual setup of these manifests. And honestly, a lot of it was a copy and paste and just change a few fields here and there. And so I think that's the system we were trying to solve. So short answers, again, maybe, not at the right level of abstraction, but we would just for the ML models themselves to create different microservices, we have just set of manifests. We use customize on top of that. And then we just run it for a new set of manifests for that model. Thanks, I'll add to it maybe a little bit. So like we said, originally the system wasn't designed for ML. And so it was a very kind of static system and end points don't change often. And so most of the end points were hard coded in various configuration files. So our entire Kubernetes configuration is a GitHub repo. And if you want to change the system, you make up PR. So if you want to add a microservice, it's a PR. And when we first started it would be, we have to change almost every part of the system to manually code where the end points are. And then we would have if statements in our code to switch between which model to serve. So that wasn't scalable. So what we did now is we're using Istio for routing. So we just put the feature flags into the headers. And with Istio we just allow Selden to route the request to the right model. And that allows us to serve a new model without changing any part of the system. The system just, the search service calls the same endpoint every time. And depending on what the feature flag headers are, Selden decides which model is gonna serve that request. The following question. May I ask, how does this search AI model in general support pagination? So can you say it one more time? Pagination. Pagination. That's a good question. So again, we worked with the existing search system. So whatever the pagination that was used within the search server is what we ranked on top of. And so we can't get into too many details. But essentially we had to re-rank with that pagination in mind. There was nothing special on top of that. Yeah, short answer. Hopefully that answers the question. Yeah, thank you very much for the sharing. I just want to ask more regarding the feature store. This is a bit interesting. So can you elaborate more on how are you guys using the feature store? Is it used to save the results for the feature extraction from item descriptions? And do you use that for model training mainly? Or does it come in place? Like how does data flow in this system, in this case? And I can get to it at a high level. So the short answer to those questions is yes. Follow the things. So primarily in the very beginning, there were some features of the model that, again, they're being computed within the search workflow itself. And some of those were already kind of just there. Like say, let's just pretend item name. We don't need to do any processing for that. It's just there. But there are other features, say, maybe clicks on an item. Let's just pretend that's one of the features in the feature store. And so those were the things that I realized, oh, that is infeasible to really calculate within a search request. And so you can easily look it up if we have just a feature store. So that's how it started. And then the yes to all the other questions that you had is we are evolving it to serve many more complicated features after that, that have to do with both items and users. And then I'll elaborate a little bit. So the first features that we get back is what we get back from Elasticsearch. Things about the item, what's the description, how much does it cost, things like that, how many people have clicked like on it. And there are some things that we can't calculate just from the item itself, like what's the click-through rate that Theo mentioned, things like that. Or personalization, like what does this user prefer, things like that, that we can't calculate just from Elasticsearch. We pre-calculate it. And it's also the same things that we feed to our model, of course. And then at query time, we look those up in the feature store and feed the things we get back from Elasticsearch together with the features that we computed, feed them into the model, and we get a re-ranking. OK, I think we're up for time. But thank you so much, Rick and Ryan, that we can tell. Thank you so much.


This paper proposes a novel approach for detecting epileptic seizures based on brain rhythm recurrence biomarkers, BRRM, and an optimized neural network, ONASNet. The authors found that ONASNet outperformed other structures by strong learning capability, high stability, small model size, short latency, and less requirement of computing resources. Additionally, they demonstrated that their method was able to achieve higher accuracy than other existing methods when applied to the same dataset and same detection task. This article was authored by Zhenshi Song, Bin Deng, Jian Wang, and others.


Hi everyone, Joe for Jaspy's casebreaks.com coming at you with 2022 Panini Prism Football hobby pack number seven with 13 teams being given away and pick your team 12 and knocked out the second half of the case that we popped open earlier this evening. Big thanks to this group for making it happen and all 32 teams are in. So let's do the pack break first then we'll do a second random, a second dice roll to see who wins those spots. Two out of five, seven times names and teams. One, two, three, four, five, six, and seventh and final time. That's just for names and teams. Two out of five, seven times for the teams. One, two, three, four, five, six, and seventh and final time. Got Washington down to Dallas. All right, so here's the first half of the list. JJ and Charles, it sounds like you guys might be lagging behind just a little bit. So make sure you're watching the live portion of the stream or refresh your app. Sometimes that helps too. There's the second half right there. And now let's print and rip. Also JJ, just full disclosure, we did pull a Kenny Pickett autograph in the first half of this case. Trendsetter, what's going on? Ooh, are we gonna get an auto out of this filler pack? Yes, we are and it's a bear. It's Kyle Gordon, rookie auto for Chicago. That's gonna be for William. Not bad for a little filler pack. This isn't really the primary purpose of this break, but getting an auto is nice. All right, now let's flip back over here. Yeah, maybe JJ, a gold vinyl. Kenny Pickett on this side. So let's gather your names again, new dice, new list. And as I mentioned before, it's gonna be the top 13. Top 13 are gonna get spots in the next break. We're only randomizing your names, not the teams as we usually do. So the name on top will get the Steelers. All right, so let's roll it, randomize it four and a five, nine times. Top 13 after nine, you're in the next video. Good luck, fingers crossed. One, two, three, four, five, six, seven, eight. And ninth and final time. So after four and a five, nine times, Randy, you already got a team right there, you're in the top 13, but this group right here, sad times. David, you got very close. Thanks to everyone from 14 to 32 for helping out, for taking the risk on this, but only the top 13 can get in. Randy, you're in with spot 13. William, you're in. And again, Robert is in, Sean is in. And again, Alex, Robert, James, William, William, Greg and Alex. There's the top 13 right there after nine. And there's how it, here's how it shakes out for you. So we'll put prism seven next to name, so you know it's from this pack. So Alex, congrats, you got the Steelers, congrats, Greg, you got the Falcons, William with the Jets and Titans, James with the Bucks, Robert with the Chargers, Alex with the Panthers, Sean with the Jags and Ravens, Robert with the Dolphins, William with the Bears and Browns, and Randy with the Broncos. There you go, congrats. We'll see you in the next video for the second half of that prism football break, Jasby'scasebreaks.com.


Ladies and gentlemen Please welcome to the stage president and chief hospital executive of hack and sack meridian ocean medical center Jason Kreitner. Good evening Wow What a night, okay? This is a really really exciting especially for the team over here on the on my by my right shoulder Couldn't predict better weather than that weather than this right? I mean last week. Grant. I'm sorry I'm crazy. We call it audible.  I'm like no Ocean Medical Center. It sounds as ocean their name. We got to do this outside if we took a chance and and I'm so glad we did It's a beautiful night and we're able to extend the invitations. How many people can arrive we have a live streaming So, uh, it's working out really well. So, uh, welcome to an a really amazing evening It is my privilege and honor to welcome you to our inaugural residency graduation ceremony that marks another Significant milestone for Ocean Medical Center. Thank you for joining us in person and for those that are watching virtually Okay, and 2018 we established our residency program that included eight family medicine and six Psychiatry residents a year later. We added eight internal medical residents I am pleased to say that today We currently have 60 residents in a growing clinical academic program This accomplishment would not have happened without the vision of leadership and support of hack and sack meridian health Board of trustees or hostile board of trustees and our CEO and mr. Bob Garrett It is my pleasure to acknowledge two visionaries that made this dream come true and they're here this evening Dr. Vincent Pavona our chief medical officer whose legacy and tireless dedication and Establishing the graduate magical education program at Ocean Medical Center will live on forever. Thank you Vinnie Kim This could not have been done without your guidance and your leadership and Dean Lynn There's Dean Dean is our former president of the medical center who's guided the vision of transforming Ocean Medical Center into a premier community teaching hospital Yeah, I'm honored and humbled to have you join us today as we celebrate our first graduation. I know you're very proud Dean I would also like to recognize and thank us a faculty program directors. That's a Kelly Esserie Cron house Dr. Ramon Soka Who have supported our residents during this critical part of their clinical and professional journey, yeah Dr. David Coons for his leadership again and academic guidance And our nurses clinical leaders and physicians for their strong collaboration and communication Where there are residents who have guided them throughout their journey and help them hone on their skills Yeah, I am grateful to the Ocean Medical Center Foundation and the generosity of the Grunner Foundation That has been instrumental in the success of our graduate graduate medical education Are providing a generous gift to help us establish and grow the new program Heather Barberi Executive directors here with my foundation Heather. Thanks for being here and appreciate all your support and Finally, I'm honored to be joined here this evening with our first resident graduating class and their families I don't have to tell our residents that Residencies are intense. It was the busiest the most challenging time of your career. I'm sure you would agree You worked diligently for long hours as part of your graduate medical training You are an integral part of our health care team and have made a significant contribution to all of our successes Your dedication to our clinical teams and our patients was outstanding Get this right no one could have predicted a pandemic during your clinical training All right, did you sign up for this? Did you expect this that anybody ever thought this just a year and a half ago? You're continued to shine with compassion during this pandemic your resiliency enabling us to provide the best care For our patients and just as a side you really got Ocean Medical Center through really one of the most challenging times This organization has ever been through You're your support to our nurses I know we've recognized a lot of our residents throughout this past year We're supporting our team and when we needed you guys you guys are there for us and just really can't thank you enough for all Have you done for Ocean Medical Center and our team? In addition, you have all passed the American Board of Family Medicine Board examination for practice and family medicine during this time every single one of you that is truly truly amazing Besides you guys this is an on-script besides be guys being tremendously bright I mean our physicians in our team really help I'm sure I guide you in during that testing and process through certainly their experiences really transitioning to your knowledge So I congratulations. That's a huge accomplishment This evening we're celebrating this academic milestone and our remembrance garden. This is a special place This is why I like to call a sacred ground here at Ocean Medical Center. That's our remembrance garden We have planted a native crepe myrtle tree in honor of our team members who passed from COVID-19 and unfortunately We had two team members that many of you know did pass Through this really difficult time for all of us It also celebrated our past with an hourglass memorial and we buried a time capsule to remember the past as you look forward to that to the future That's how to our garden there and to our right. I Invite all of us to take a moment of silence to imagine a future that looks very different from the past To remember those who have lost to the pandemic and reflect and how we will make a difference moving forward Thank you. I'm humbled and proud to congratulate our first graduating class our Pioneers churro blazers and future health care leaders congratulations With that like to introduce dr. Kent sable my boss regional president of the southern region Ken Good evening. So how about a round of a round of applause for Jason Crichtner? Who has been our fearless leader at Ocean Medical Center? At least for the past year during this crazy pandemic So I'm gonna go off script a little bit and there's about four points I want to cover today The first is I just want to say thank you to all of our residents You know as Jason said you didn't sign up expecting this to be a pandemic and Residency is hard enough and I'll talk about mine in a second It's hard enough to do a residency in normal times when we're in the middle of a pandemic Once in a lifetime once in a hundred years for all of you to you know Really, you know come to work every single day Be there for your patients for their families for each other and never complain. Did they complain? No, okay Never complain. I never heard you complain Is truly remarkable and it's really you know the precursor to what you are all going to be in your careers as attending physicians Having gone through this. I truly believe you can accomplish anything at all. So thank you for that The second point I want to cover is congratulating you for being the first you can only be the first once and You are in all eternity the first graduating class at Ocean Medical Center And you will forever be able to brag about that and for all future generations To be able to say you are the first and there's something wonderful about being first So congratulations to all of you for being the first Graduating class at Ocean Medical Center So third is you know this month about 19 years ago I was in your shoes. I was graduating from an emergency medicine residency program at Cooper Hospital in Camden and My chairman said to us and I'll never forget You know, don't try to change the world all at once You know worry about one patient at a time and I think that advice has really kind of helped me as I was Going through my early career practicing medicine And realize realizing that you know, it's going to be hard to boil the ocean. You can't do it all at once You're not going to save the world all at once, but that one patient that's in front of you that's the patient you're connecting with and Being able to have that connection and that bond is a privilege and an honor That you should never ever take for granted and never abuse these patients who come to us and as an emergency physician myself They come to see me. They tell me their entire life story within 30 seconds. They don't even know me They get undressed they allow us to examine them You know when you think about the power that all of you have all you have to do is just focus on that one patient And how can you help that one patient? How can you make that patient's life better? And if you do that? I think you're gonna find it much more manageable and a lot less stressful and last but not least I Remember, you know around this time again 19 years ago. I was preparing to finish residency I finished my last shift on June 30th 2002 and I started as an attending physician at my monities medical center July 1st of 2002. I don't know if any of you are taking time off. If you are I recommend it But I didn't I wanted to get a paycheck and I wanted to get moving But I remember that first shift at my monities, which was a very busy Urban, you know Brooklyn Brooklyn, New York very busy. I look at Ramon who was there with me tertiary crazy emergency department very very sick patients and They were double parked all around the ER So there was one patient in the back and then a stretcher in front And I walked into the bathroom and I was dripping sweat I was so terrified and scared and I thought there's no way I can do this.  I think I called my dad. I said dad. I don't know about this place I'm worried.  Good luck to all of you if you ever need anything whether it's to Dr. Coons to Dr. Vavona to Jason to any of your mentors here to myself we're only a phone call or an email away and We'll always be here for you and thanks for making us proud as the first inaugural class at Ocean Medical Center Thank you So now it is my distinct honor and privilege to welcome Dr. David Coons to the stage Dr. Coons is a wonderful individual holds a lot of titles He's a co-chief academic officer for hack and sack meridian health He's a vice president for academic affairs at Jersey Shore University Medical Center And he also serves as the designated institutional official at Ocean Medical Center He's a wonderful colleague and be happy to bring him up here. So Dr. Coons Well, thank you for that generous introduction and good evening everybody particularly to the graduates This is such a a proud evening, and I'm so honored to be with all of you I think mr. Creighton or use the term Heroes and I'm so happy I could reiterate that word to your families These young people in the front row truly are our heroes Because of their work during the pandemic, but also for their trust in us Coming to a program as you heard that had no track record The reason people come to residence these is because there's a track record But they had great confidence in us, and I'm so appreciative that you did for us I was reminiscing with the Dr. Vavona, Dr. Salka and Dr. Cronehouse going back to Dean Lenz days when he was the president Looking at a document from 2014 When some of us probably including Dr. Lake, maybe Dr. Winku We're looking at our plans for residencies at Ocean Medical Center, and I remember I actually have the consultants report saying if you do everything just right You'll be able to start July 1st 2018 Almost three years later, and we stuck to the plan and what a group that we were able to to recruit You know we've now acknowledged a few people. I'd like to take a minute and acknowledge a couple more One is my predecessor dr. Tom Brindiske I think the residents remember dr. Brindiske. He was in my role from 2015 until 2018 And we're very appreciative of his support to get our program started I reached out to dr. Brindiske earlier this week He's vacationing with his family on the west coast actually in Arizona But he wanted me to extend his congratulations to all of you I also want to acknowledge two people who I think the residents would agree and the fellow future fellow would agree Are instrumental to the success of our program. So those are our two coordinators Rose and Laura and Christine Lake. How about a hand for them? And finally, I'd like to thank two people who Oversee the office of academic affairs at 1610 Who really also are the glue to keep this program together and to help put this evening together for us Francisco Hernandez and Catherine Sheridan and I thought I'd talk with you just for a couple of minutes about Something we haven't talked about a lot this evening and that's about friendship We know that a lot has been lost during covid and one Item that's been written about is the loss of friendship It may be a few instances where the pandemic has brought a few people together, but more likely because of social isolation And a lack of inability to travel Friends have drifted apart And as you come out of this maelstrom a little bit of residency I'm going to challenge you to resurrect your friendships with your co-residents With your friends before you started residency because that is truly something That will sustain you during your entire life Dr. Sable reminisce a little bit. I'd like to do the same and I'm going to go back even further to the fall of 1986 And the fall of 1986 I was a second-year resident at a hospital in philadelphia And one of my mentors and friends was two years ahead of me. He was actually at that point a chief resident And I really looked up to him. He was smart. He was organized. He was Energized. He was optimistic He had a lot of qualities. I hoped I could build in my career After I finished my residency. I stayed at that hospital at his suggestion and he continued to mentor me in different roles as I learned my craft I wrote down and I've always thought about this He believed in me before I believed in myself As time went on we drifted apart as friends will will do I stayed in the city of philadelphia another hospital. He started moving on To different positions in retrospect. He was moving around quite a bit A job two years here a job three years there I thought it was because that's what it took to move into uh physician leadership, which is what he told me he wanted to do and he Left patient care, which was really a strength of his There was a time that he called me somewhat desperate to A come and give a lecture at the hospital where he was working at a time After all he had done for me. I was happy to reschedule patients quickly jump on a plane And go out visit him and give the lecture I stayed and had dinner with him and his wife who was another resident with us And for the first time I noticed something was different He that energy wasn't there that optimism wasn't there That wonderful relationship. He I remember what he and his wife seemed a little strained I shrugged my shoulders everyone has a bad day or bad week and didn't think a lot more about it A few years later his name is tim. Tim called me with a health crisis He said that he had ulcer disease with the complication of hemorrhage or bleeding The bleeding was so bad that it landed him in the intensive care unit At a small hospital where he was working He stayed there for several weeks and was so debilitated or weak. He then needed to go to rehabilitation There was a prolonged period where he was out of his job. They couldn't keep his job open for him So then he was terminated from his job He also told me in that phone call that he was an alcoholic That what had triggered the severe bleeding was the use of pain medications for some chronic muscular pain or bone pain and alcohol Tell me it wasn't an alcoholic during residency, but several years later he Used alcohol as a stress reliever as he moved into these more and more difficult positions He'd start drinking after a few months Things would calm down for a while Then the pressures would build again. He'd go back to drinking or keep drinking And right before his performance really started to drop off He would leave that position and go somewhere else We talk a lot today about wellness and resilience And whenever I hear one of my colleagues use that term, I think about tim We didn't really know what wellness was back then Tim was committed to getting himself back together And now it was my turn to help him just that he had done at the beginning of my career He applied for a position as a hospitalist that was really not a term also Back then And I remember getting a call from the department chair at the hospital where he had applied to work He had by the way committed to Going to his state's physician assistance program for health He had been part of Alcoholics Anonymous And that department chair called me as I was one of his references and said Can I trust him to take care of our patients? And I assured him I would do everything that I could To stay in touch with him and help him if he had any problems As he moved into this new position So here he is in a small one-room apartment by now. He had gotten divorced Restarting his career So for a period of time I called him every week And then every two weeks then every month And he slowly got himself back on his feet And that was such a rewarding feeling for me Over the next couple years he remarried. He had a daughter And things seemed to be quite stable for tim About four weeks ago Tim called me. I was at home My wife and I were in the kitchen. She saw his name on my phone She said I'm sure you two have a lot to catch up on Uh, see if you can find a time so tim we can go visit tim His new wife and his new daughter who we've never seen After a few seconds I could tell something was wrong In tim's voice and he shared that He's developed some new neurologic problems He's been advised not to work and not to drive He asked me not to feel sorry for him He said while I still feel pretty good I wanted to call The four or five most important people in my life Outside of my family and tell them what was happening I asked him if I could share his story I said we have some graduations coming up for our resonance And he said yes, you may I was thinking about a quote, um about tim And that's growing apart doesn't change the fact That for a long time we grew together side by side Our roots will always be tangled So for all of you keep your roots tangled Keep your roots tangled with us at ocean medical center Sometimes stories don't only have a happy ending But I'm so grateful to have had this long and wonderful relationship with tim Now I'd like to acknowledge an outstanding physician and leader whose vision of educating the next generation of physicians Is one of the reasons why we're here this evening My dear friend and colleague dr. Vincent Vivona Chief medical officer of ocean medical center Dr. Vivona's overwhelming compassion for the care of patients is truly legendary For more than 40 years. You must have been about eight 10 40 years he's contributed to the care of patients here in ocean county Because of his commitment to delivering high quality and safe patient care Ocean medical center has consistently maintained an a Hospital safety grade by leapfrog has been awarded a top teaching hospital And thanks to his tireless efforts and support of the development of the gme programs here at ocean We are graduating our first class this evening award I have to have a a pause here for a second The notes say hold up the award. I'm very happy to do so This award acknowledges dr. Vivona's contributions to the cornerstone of patient care safety and quality And will be given to a resident or residents every year From now until eternity Who has emphasized these important essential basics throughout their residency? This is the dr. Vincent j resident of the year award On behalf of the medical executive committee Jason kreitner the residency program directors and residents It is my privilege and honor To pay tribute to your legacy By dedicating the ocean medical center resident of the year award in your name Dr. Vivona, will you please come to the stage? Thank you for all you've done for academic medical education our patients team members residents and the community well I really appreciate the recognition I have to really say that I've had a tremendous team behind me And supported me For the gme project that we had it was long. It was not always easy But finally we we did develop a fantastic product To go forward and it's evidenced By the first graduating class and the academic success that you all have achieved It's always a little disadvantage to be like the fourth speaker down But uh, I am going to probably repeat some things but maybe from a different perspective I have been on staff for 42 years the last six is cmo I want to see is an institution that has always been dedicated to teaching medical students and allied health professions The genesis of our c gme program began in 2014 With informal discussions between administration and medical staff and team members For all for their opinions and the possibility of establishing a teaching program As dr. Coons stated in 2015 our gme consultants assessed the institutional capabilities And resources were establishing the current programs and the future transitional residency Which is actually starting this July so all the points of the assessment were right on Today we are now graduating our first class of family medicine residents And the psychiatry residents who psychiatry residents who is pursuing a fellowship This first class of future graduating classes in internal medicine family medicine psychiatry in our new transitional year Our testimony to the success of our program was a long three years for these graduates None of them saw or even imagined what was to come A pandemic which began over a year and a half ago, which was one half of their academic residents Occurred Our residents all of them faced the challenge Looked fear in the eyes and despite all took care of our patients The hospital administration and team members stood by their side With no hesitation and the ultimate crutch was our dedicated medical staff Through how hard we picked them up when needed as well as the gme teaching staff They will always remember this universal medical crisis The last pandemic is over a hundred years ago This experience will influence how they practice medicine and approach the care of their patients They may not know it now, but they will know it the next couple months It will be embedded in their professional persona and they will be better physicians for it Also, despite all that was going on with the various distractions of the pandemic as that they're uh As we well said all of our family medicine residents passed their family medicine boards That's that's a pearl, you know, you don't have to worry about that coming forward except when you take the research It was an important milestone in the universe of medicine remember that a very important milestone You should be proud of yourselves, especially with all the pandemic issues that you have to deal with I used to see you running around the hospital masks on running everywhere But you're never coward you were right there and I was very proud of that It is also testimony to our gme program the individuals behind it And the resolve of residents to be the best they can be A great culture, which is important to our institution And legacy to pass on to our future residents Lastly, I like to think thank dean win Actually dean win when I first served as a medical director on the gme clock And then became the cmo when they twisted my arm the dean was there and Dean was always mentioning possible gme program. We had such a great great culture in teaching I mean our thoughts are private faculty with fantastic teaching. It couldn't you couldn't really Compare it I like to thank him for his foresight and knowing pushing the gme program and providing a real Rapid impetus for what we have today to Jason Creightner Who continues to preserve our culture And promote our academic agenda To kin sable for his overall and zealot support and yes, can I like your jokes The dave coons who personally for me a great academic leader, but was probably one of the best mentors I've ever had To kelly it was three crown house permeal chariot And remonde sople and all-star team Remember that Okay, the gme staff and their important administrative support The gme committing as our compass And a tremendous gme medieval staff Providing the education I proudly accept this award. I'm honored really honored. It's a legacy for me And uh, you know, even if I knew I wasn't going to receive an award Back then 30 40 years ago. I would have still been done what I've done, but I really Enjoy it. I'm going to miss it to an extent. I do have plans to come back and some some Extra a curriculum type of things with the hospital and I hope all the success For my residents that are here. I'm proud of you. I remember the day you first came on campus, especially in Moscow and uh And you really really performed and I think that It is a it pretends a good class is the good classes for the next Year's coming Now Thank you very much It is my honor and privilege to present this year's resident of the year award to To Nicole Gabrielle Beskurski Our second award is to sade fraisian Tikaia I would like to introduce the star of the program Who uh is our program director for family medicine And we are proud to say that we have a hundred percent Ford pass rate, which As Dr. Coons would say in the academic world. That's what we want Dr. Kelly Usui Kronhaus husband Ken Kronhaus So give up the stage Oh, good evening as As the previous speakers have all said I might be a little bit redundant But I also have the opportunity to share A little bit about each of the graduates and as they're processing around I will try to be brief So I would just like to begin by thanking Hackensack Meridian the hospital board or trustees for their leadership and support In our effort to launch the gme programs at ocean medical center So we are now a teaching hospital that's attracting more applicants for resident positions every year We couldn't have done it without the support Of the leaders such as dr. Clark dr. Vovona dr. Coons the ocean medical center leadership Under dean lin jason kreitner can sue check can sable marie foley danaker gary gray and mike verna All who had an integral role in getting this off the ground So I would also like to thank the medical staff and dr. Walter weingup as the president of the medical and dental staff and the entire ocean medical center staff Who were delighted and gratified to share their knowledge and clinical skills with the residents during long hours of teaching and mentoring And of course our gme office is by far the best Thanks to francisco, hinanda's cat. Sheridan angela shand my fellow program. Dr. Ramon sulka per mill charioth The associate program directors sabba afsal dr. Ken Cronhaus and coordinators jennifer rosanne You make gme a great place to work and i'm always happy when I get to be there A very special thanks to my family medicine program coordinator christine lake And our family medicine core faculty dr. Lisa kasanoff's dr. scott druckman dr. chris baiter For making everything come to life and my sincere thanks and gratitude to the associate program dr Dr. Ken Cronhaus for being my support and foundation and supporting me in this Dream on this wild ride through all of our challenges and victories So but last but not least let's give a round of applause to the graduating class of 2021 So thanks to these residents for taking a leap of faith and joining us on this journey We couldn't have asked for a better first cohort of residents to be our inaugural class Thank you for the pleasure of teaching you mentoring me and mentoring you and tonight celebrating you So before I introduce each of them, I just want to take a minute to pause and acknowledge all of our Accomplishments so in addition to taking care of patients 24 7 We did have an 100 percent pass rate on the family medicine boards For scholarly activity we produced 23 posters nine publications and six research awards both local regional and national And to those patient encounters we had over 8400 inpatient 13200 outpatient 2000 pediatric outpatient and over 300 ob deliveries for these eight people And um, we had a great gme team and we all participated on a project for interprofessional teaming to reduce the inpatient length this day As first year residents they placed third place in the njfp Resident knowledge bowl and we were hoping to go back and defend but then of course the pandemic hit so that was put on hold They were very adaptable and shifted with all the changes and challenges that came with kovid changes to their schedules and Policy changes every day. There were an integral part of the care team Doing extra shifts in the icu being advocates for the patients and a conduit of information Between the care team and the families for that we will be for everything full So now I would like to Introduce each of them and dr. Cohn house will hand the diplomas and dr. Coons if you would also please come to the stage So as I was preparing these remarks, I was commenting to myself the strengths of each resident So we're extremely proud of all of our graduates. They're well-rounded physicians to excel in all the acgme core Competencies they embody what it means to be a family physician. They provide comprehensive patient centered and compassionate care So first we have dr. Nicole babushkin who's a graduate of ross university A native of brooklyn and we're happy to say that she's going to cause the jerseyshore home We can always rely on her calm profession demeanor and she's passionate about community She'll be joining hmh primary care with dr. Rothberg and his associates Next dr. Erica de clemente a graduate of university medicine health sciences st. Kitt. She's a strong advocate for resident education and scholarly activity Dr. de clemente is leaving us to move to k. Bretton island over scotia Well, she will provide full-spectrum family medicine to the residents of victoria county hospital in a rural fishing village Next dr. Brittany grilla a graduate of st. George's she was elected as one of our third-year chief residents Dr. Grilla was foundational to our scholarly activity She's been selected to present her research at national aafp meetings and winning awards at in jfp and ob hospital's conferences Dr. Grilla is returning to her hometown of long island and has taken a job as a nocturnus for northwell health Huntington hospital Next dr. Meja halaria a graduate of chicago medical school rosalyn franklin university of medicine and sciences Dr. Halaria served as our wellness committee representative for all three years and is passionate about integrative medicine She's joining h hack and sac meridian health primary care and fork at river One of our residency teaching practices and she will be providing outpatient care and joining the faculty She'll also be completing an integrative medicine fellowship with the university of arizona andrew wild foundation Dr. Brindan keys is a graduate of ross university school of medicine He's excelled as a leader and mentor of junior residents He is always an advocate for high quality evidence-based care Dr. Keys is returning to long island and will be joining pro health hospitalist group Hey, dr. Jeff moscow a graduate of the university of new angling college of osteopathic medicine and a native of ocean county Dr. Moscow is an advocate for osteopathic education and served as our resident osteopathic manipulation medicine education teacher He will be joining rowan university school of osteopathic medicine omm fellowship in stratford Dr. Meja Patel is a graduate of spartan health sciences school of medicine also a native of ocean county Dr. Patel served as our second co-chief resident a strong advocate for peers and program We are fortunate that dr. Patel is staying on with hack and sack brilliant health jackson family medicine And we'll be joining the program faculty Next dr. Charles cj rickowski a graduate of medical university of america's Dr. Kowski served as the program representative to the graduate medical education committee for two years We are fortunate to have dr. Kowski staying in brick with dr. Kaskarina's practice our family practice and he will also be joining the faculty for inpatient teaching Let's have a round of applause for the 21 2021 family medicine residence Thank you, dr. Cronhouse plural it's now My pleasure to introduce dr. Ramon sulka And dr. Saba Afsal from the department of psychiatry to introduce their graduate Good evening, everyone. We are very excited to be here tonight before I start I just really want to thank dr. Coons our gme team hospital leaders dr. Sable jason dr. Vibona Thank you for everything you do I am Saba Afsal i'm the associate training director of journal psychiatry residency program here at ocean medical center And I would like to acknowledge dr. Ramon sulka Who's the current program director of our psychiatry residency training program? He has a long list of titles But I will just mention one here that he is a chair Founding chair of the hackensack meridian school of medicine for the department of psychiatry and behavior health and a true leader and visionary and a great mentor I would like to recognize my faculty members here and the administrative staff for all the support and contribution to this outstanding program No bias here, of course And Thank you kelly. Thank you ken. Thank you promille. Thank you to all the program directors for working with us and collaborating with us And accommodating our psychiatry residents. I'm there, you know Teaching and the education you guys provide it's it's really valuable. So I really appreciate that So, you know, I'm not going to spend more time here I'll get to the business We are very excited to introduce our graduate to you Today shade day and fresh year Shade I would also like to extend my warm welcome to your family and friends who are here and especially your three-year-old daughter jade I can keep hearing and I know I still remember jade was born when you were an intern And she's highly adored by all her uncle and aunts and all psychiatrists Following her milestones all the time hi jade And I'm just gonna take one more minute to brag about shade's achievements and accomplishments. So please bear with me Dr. Frasier attended rovin university school of osteopathic medicine where she earned her doctor of osteopathic medicine in 2017 She's a diversity leadership fellow in the american psychiatry association and the vice chair of associations Minority fellowship program a huge honor for all of us and the ocean medical center In april she received a presidential appointment to a three-year tenure on the westmark award committee of the american psychiatry association Dr. Frasier has a keen interest in community service Social justice and advocacy work Her passions are children women's and maternal mental health and their intersection with the law and mental health policy Dr. Frasier will begin her fellowship training in child and adolescent psychiatry this july at westchester medical center In new york with future plans to pursue second fellowship in forensic psychiatry Shade we are really proud of you. You are rock star. I wish you all the best in all your future and their lives It's now my pleasure to introduce dr. Walter wincoup president of the ocean medical center medical and dental staff Who will lead the residents in reciting the Hippocratic oath dr. Wincoup? Good evening It's truly an honor and a privilege to be here with you all this evening On behalf of the medical staff of ocean medical center We want to say thank you We want to say thank you for making these years so much fun for us Because not only have we had the opportunity to work with you and teach with you But you have taught us so much You taught us about your character You taught us about what it means to be a physician You reminded us Why we decided to do this in the first place So thank you. It's truly an honor As you look toward the next part of your careers know that you're ready You know, we've had the honor and the privilege of working with you. We've seen you in action You're ready And you pastor boards We're extremely grateful for the care that you provided our patients We're extremely grateful for the camaraderie For how you've worked with our broader medical staff our nurses or respiratory therapists Watching you engage in a truly multidisciplinary way. That's the future of health care and you did it with expertise and applause I want to take this moment to thank someone who really needs to be thanked a lot and that's your families You know, we've all been residents And it's hard, you know and without family support. It's even harder. So I know that a lot of you probably all of you had a lot of support from your families And I just want to say thank you to them and give them a round of applause as you've heard Half of you we stand right here in ocean county as far as Family medicine and you look forward to working and seeing what you do also But for those of you that travel outside of new jersey Um, we're excited to have you back come back any time Come visit come back and work whatever All right good So, uh, with that said, um with the residents physicians and dentists in the audience And on and uh and here, please stand with me to recite the oath of hypocrite I do solemnly swear By that which I hold most sacred That I will be loyal to the profession of medicine and just and generous to its members That I will lead my life and practice my art in uprightness and honor That into who's whatsoever house I shall enter it shall be for the good of the sick To the utmost of my power Holding myself aloof from wrong From corruption and from the tempting of others to vice That I will exercise my art solely for the care of my patients And will give no drug and perform no operation For a criminal purpose far less suggested That whatsoever I shall see or hear Of the lives of my patients, which is not fitting to be spoken I will keep in viably secret These things I do promise And in proportion as I am faithful to this oath May happiness and good repute Be evermine and may the opposite befall me if I am false to my word Thank you. You may be seated And at this time I'd like to invite uh, Francisco Hernandez, uh to the podium Mr. Hernandez Thank you all who have joined us today this evening in person or virtually To celebrate the graduation at Ocean Medical Center's first class of residence The past three years have undoubtedly been a memorable experience in the office of graduate medical education We will miss you and we wish you the best of luck in your medical careers Residents and faculty and program directors, please stay for photos here on the stage Have a great evening and enjoy the weekend Once again, we want to remind residents faculty and program directors to please stay for group photos on the stage Everybody else. Thank you for joining us and enjoy your evening


My dear students, the course is Labour Policy Pakistan and the topic is chemicals and cement. We are studying these topics with reference to industrial revolution. You have to keep it in mind. My dear students, the chemical industry comprises the companies that produce industrial chemical. Dear students, central to the modern world economy, it converts raw materials, for example oil, natural gas, air, water, metals and minerals into more than 70,000 different products. With the help of chemicals, 70,000 things are being produced in the world today. Dear students, the plastic industry contains some overlap as some chemical companies produce plastics as well as chemicals. My dear students, various professionals are involved in the chemical industry including chemical engineers, chemists and lab technician. Dear students, as of 2018, the chemical industry comprises approximately 15% of the US manufacturing economic sector. Dear students, one of the first chemicals to be produced in large amounts through industrial process was sulfuric acid. Dear students, in 1736, the pharmacist Joshua Ward developed the process for its production that involved heating salt peter, allowing the sulfur to oxidize and combine with water. My dear students, it was the first practical production of sulfuric acid on a large scale. John Robock and Samuel Garbet were the first to establish a large scale factory in Preston, Pans, Scotland in 1749, which used leaden condensing chambers for the manufacture of sulfuric acid. Now let's move on to a very important chemical that is cement. Dear students, cement is also a chemical. Cement is a binder, a substance used for construction that sets hardens and adheres to other materials to bind them together but rather to bind sand and gravel together. My dear students, cement mixed with the fine aggregate produces mortar for masonry or with sand and gravel produces concrete. Dear students, concrete is the most widely used material in existence and is behind only water as the planet's most consumed resource. Chemicals have played a major role in the industrial revolution. In the industrial revolution, many things are synchronized and synthesized through chemicals and a lot of things are consumed by humans. Cement is a very fine class chemical. We should also talk about the benefits of industrial revolution. Now let's move on to discuss some industrial revolution's benefits. The rapid evolution of labor saving inventions took place during industrial revolution. Dear students, goods became affordable and accessible to the masses in abundance and there was rapid evolution of medicines for the masses at large scale and there was enhanced wealth and quality of life for common man. With this, another big benefit was that there took place the rise of specialist professions in the communities in the society. Hope you have understood the topic. Thank you very much indeed.


Good afternoon everyone. This is Rajneer from RGU Tripati Basur. I was working on image assessment tool set for shaping. Shaping is a course in ITI, as you know ITI. My work is starting, it was started by finding an application first, image assessment tool. Just one second. Just to give you a brief perspective on that. There were three people in image assessment. You have seen drawing which is matching shapes. You are seeing painting which is matching color. Image processing for matching color. This is the third thing which is image processing for matching shapes. So, three different people were trying three different technical applications. So, when I say searching for applications, they had definite areas and they had to search where to get that application and do. So, she had a little bit of difficulty in that. I was searching about an application. At the late, I got an application where I can do that matching of size between two images. So, I concentrated that IIT Bombay ME 113 workshop, mechanical workshop, for the how can I measure this one. Means, where can I apply my assessment tool set. When I got this shaping course, that is what I introduced in EDX platform. I can give my overview that there are two images. One is teachers and one is students. After that, taking images from the student, first I can measure with the graph paper because we need how to measure force, how to measure the size. We can measure by manually, but here is we need to measure by taking the images. So, I have developed this assessment. First, I have taken student's image. Then, first I calculated the size of a teacher's image. This is a course which I introduced in the EDX. This is the raw material which I have given to the student. Then, these are the two shapes. After that, one is front view and one is top view of that object. This is a course where students can learn. This is an assessment which I made. This is a teacher object. This is for front view and this is for top view. There is a little problem in loading this image. It is okay. The assessment will take it correctly. As you may see, the difference between two objects, that is four and this is 16 because I have collected this material from that workshop, like 40 materials from 40 students. Then, I measure this difference between these two images and I can give the result how much they are correct for the 10 marks. Here, this score is 8.6. That much match is there in between the two objects of the teacher and the student. The future scope of this assessment is I can do without drop paper. I can take one view with drop paper and other views without drop paper and I can measure and I am sure I can do.


mesenchymal stem cells, MSCs, are widely used in regenerative medicine for treating various diseases, including neurological disorders, cardiac ischemia, diabetes, and bone and cartilage diseases. However, the therapeutic potential of MSCs in cancer is still controversial, with some studies suggesting they may contribute to cancer pathogenesis while others report their suppressive effects on cancer cells. Further research is needed to understand when MSCs promote or suppress tumor development before planning a MSC-based therapy for cancer, particularly central nervous system tumors. The current evidence suggests that MSCs have a double-edged sword in oncological treatment, and recent advances in MSC-based anti-cancer agent delivery systems are being explored. This article was authored by Abdul Krim Macha, Abdul Krim Macha, Alejandro Martin Montalvo, and others.


On test 2, I added more light and a microphone, but the mic is very quiet. 1, 2, 3, 4, 5, 6, 7. Of course, when we're doing it, I have to keep this better. Can this do? Let's see.


I'm Darlene from GoDaddy's How To, and this is my friend Emma from The Journey. We know that the success of every restaurant depends on customer demand, and as more and more cities and states are adopting shelter and home orders due to COVID-19, we want to share how you can add online ordering to your site so your customers can still enjoy your food. That's right, Darlene. Online ordering is great for takeout, curbside pickup, and delivery if you have your own delivery drivers, of course. And if you're using websites plus marketing, you can add online ordering via Chow Now right to your site. During the COVID-19 crisis, Chow Now is offering special offers for GoDaddy customers. So let me show you how to add Chow Now to your website's plus marketing site. The starting point is Website Builder. You can add a new section by going to the pages and sections part in your My Site pane. Or you can use the preview window and click Add Section where you want the new section to display. That's what we're going to do because we want our new section to show right below our header. The section we're going to add is Restaurant Online Ordering. There is only one layout available, so let's choose it. You can see the new section in the preview window, and the pane on the right is open and ready for us to edit the section. If you haven't already set up a Chow Now account, you can click the link to create one. This is where you'll see all of the discounts that Chow Now is offering to GoDaddy customers. Let's check it out. Right now, as of April 2020, GoDaddy customers get $100 off setup fees as well as a free month of Google ordering, a free email blast, and a free social media graphic to promote their online ordering. All you need to do is fill out the form and click Submit to get started. Once your account is set up with Chow Now, return to your website and continue with the setup process. Back on Website Builder, you can edit the text and the title to say anything you want. Now offering takeout or curbside pickup. Next, enter your Chow Now ID, which you should have received during the setup process with them. You can change the button name. I like order now. The last thing we can change is the background image. Click Change Image. Select the image you want. I like this one, so I'm going to choose it and click Insert. If you want to adjust the image, you can, but I think it looks good just the way it is, so I'm going to choose Done. That's it. That's how you set up Chow Now to your site. At this point, use the Chow Now app to manage the details of what shows when visitors click the Order Now button. Thank you, Darlene. I love how easy it is to integrate Chow Now into Website Builder, and as a consumer stuck at home, I appreciate being able to order from my favorite restaurants so I can still support them. I hear you, Emma. I feel the same way. I'm happy to help, so thanks for joining me today. Stay safe, Emma. Thanks, Darlene. Stay healthy. Bye. Bye.


What's good Josh? What rocks back again with another video? So we're gonna check out most savage chance from the original ECW, man ECW was a different place different time. So, you know, the crowd was different what they was showing in the ring What they were saying in promos is just a different time period, man And I love checking out these videos to kind of really get an understanding of how ECW got down I know for me personally, I never really watched ECW going up as a kid I don't even think my mom would definitely let me watch that. She barely wanted me watching Monday night raw I know for a fact. She probably wouldn't want me watching ECW, but we're gonna check this out Appreciate all love and support man. Let's get right into this thing Whoa I'm not even gonna say it why we've seen we've seen this chair Please refresh for weeks and weeks they build up this huge match for the tag tag ties between public enemy Sabu and Taz and Benoit and Malinko From the recaps they showed this match had months of build up as these three teams Awarded with each other then the next week on ECW.  Oh, damn.   They just don't care, bro. I have to cut that This is insane They just going crazy for him getting beat up I'm just amazed How they just don't care, bro. Oh my god, that's spear Just look at this They just did not care just did not care Of this this is this is this is just a different time in wrestling and it's brah That's crazy the passion they had It's like it didn't matter if you was a face of here didn't matter the crowd was gonna let you know how they felt that that whole saboo situation they let the People that had nothing to do with they they just let the chance be heard the entire show. I Miss this error. I miss it just a bit because this was a different time man This was the time before people were so sensitive, you know saying this is the time where you could just Kind of express how you felt, you know with a mass group of people and just have a good time And you can't how crowds like this anymore only because They would probably get centered they would definitely get centered to the point where the crowd you probably wouldn't even hear the audio from The crowds but this this was awesome. Once again, I didn't really watch ECW as much So seeing these clips is all new to me This was incredible and if you guys want me to check out some more ECW related content You know, I'm down to get my get my history up on on Extreme championship wrestling. I think that's what you see the ECW stand for I know you guys gonna correct me if I'm wrong But I believe it's extreme championship wrestling But yeah, comment down below. Let me know if you want me to check out some more ECW related stuff I definitely will appreciate all love and support roll to 100k. Appreciate y'all kicking me. See y'all next one