A horrible human being who has attracted massive number of fans among young right-wing men primarily because of his hatred of the left. Oh, Yaron, what are you doing? Anybody who hates the left is one of the good guys. He's on our side, not in my book. He's a hate of the left. He's also, as I said, a misogynist. From everything I could tell, just generally a horrible human being.  He moved to Romania a few years ago and he admitted to move to Romania because Romania has much looser laws with regard to rape. Got a massive following on Twitter, again, young man, confused men, men who don't know what to do with women, how to deal with women, men who do not have the self-esteem to deal with relationships that are true relationships, get sucked into disgusting human beings like Andrew Chase.


This is Denver Police Department case number 2008-158-995, the murder investigation of Charles Rhodes, which occurred on March the 12th, 2008, at 1329 Valencia Street. Charles was shot twice, and he was pronounced dead at the scene. It's my son. He was my son. And this killer is still out there. It's a murderer. He's walking around Denver, just as though he haven't done anything. On March 12, 2008, at approximately 3 a.m., the Denver Police Department received a 911 call about a person being shot in the 1,300 block of Valencia Street. We believe that Charles was walking in the neighborhood. We believe that he had just left a 7-11 store, not far from where he was found. He got into an altercation with the suspects. This is where we believe the altercation first started. We believe the suspects were in a vehicle, and Charles was on foot, and he continued on foot northbound on Valencia Street. We believe Charles ran from the intersection to this residence here at 1329. We believe he attempted to make contact with the residents. He was unable to, and he was shot as he came off the stairs. I knew that a day that knock at the door, knew. I was on the phone with my mother at lunchtime when a Denver police officer, an advocate from the victim's advocate, came. This is a voice. Your son is gone. Your son is gone. Why she was on the phone with me, she said Sheila, they found Charles dead. This is something that no mother ever wants to hear. He knew Charles was on the arm, but he hated him that much. He wanted to take his life, and that's what he did, and I'll never forgive him.  Then once you knew you had killed him, and then you keep on putting bullets in him. I want justice every day. Whatever justice smelled like. It's been eight years. But of course it feels like it's been eight minutes. That's how it's been for us.  Every birthday, every holiday, every day. I think a lot of people know a whole lot. They heard the screams, gunfire, bravehood life. We believe that someone out there knows what happened to Charles. This was well publicized when it happened. Bill board up on East Colfax asking for information. We didn't get any calls. We need a tip. We need someone out there to contact crime stoppers. One phone call could break a case. This is a killer. This is a cold blooded one. And knowing all these years that I've suffered, I want them to pay.


All right, so we've waited our customary a minute or two for the Zoom meetings. Okay, so let me introduce myself again. I am Ajay Pillai. I'm a program director at NGRI and part of the team for the Morphite program. My colleagues include Adam Felsenfeld, Colin Fletcher and Riley Wilson. And I would like to also take this opportunity to thank Gerald Somani for his help with the webinar. We are today gathered for this webinar specifically focused on RFA-HG22-019. This is for the data analysis and validation centers which are going to become part of the Morphite program. Next slide please Riley. Okay, so I am going to start off with a whole bunch of links. As I mentioned before, these slides are available on the Morphic webpage that NGRI has and they're available as PDF. So the relevant links that I have decided to include in this slide include the link to the current FOA. If you want to reach us as a group, you have the email contact available, the webinar link which you probably already have, the program webpage. There is an FAQ that was developed for the Morphic program. That's also available on the website. The NGRI 2020 Strategic Vision, one of the outcomes of that vision is the Morphic program. And the past FOAs which were for the Data Production Center and the Data Resource and Administrative Coordinating Center. Next slide please. So this slide covers what is going to happen today in this webinar. After I tell you a little bit more, Adam is going to take over and talk about the overall aims of the Morphic program. And then I'm going to come back on and talk about the FOA specifically and then we have some time allocated for your questions. Okay, so I want to remind you, as I mentioned before, that this call will be recorded and posted to the NGRI Morphic webpage. Your questions, maybe if they appear to be of broad interest, we'll convert them into FAQs and post them. You do not, of course, have to identify yourself when you ask a question. And also this is a Zoom webinar, you have a Q&A button instead of the chat button with some of you maybe more familiar with. And please ask a question using the Q&A button. As I mentioned, the Morphic program has two RFAs that have already been issued. The actual funding notices for the experimental component and for the data coordination center and the funding announcements are going to be made in all likelihood this fiscal year, which means next week or so. And once that information is public, we will update our website accordingly. And with that, I'm going to hand over, next slide, Riley, please. I'm going to hand over the con to Adam to provide a general overview of the Morphic program. Adam. Great, thank you, Ajay. And I'm Adam Felsenfeld. I'm another program director involved with the Morphic program. And I should also say that on the phone with us today are Colin Fletcher, another program director for the program, and Riley Wilson, a program analyst for Morphic. So Riley, if you could advance to slide six, next one. Yeah, so it's easy to talk about Morphic in terms of its long-term goals, so more than the initial five-year grant period. The point is to develop a catalog of molecular and cellular phenotypes for no alleles in human across the genome. And ideally, such a resource would be consistent, meaning that their standardization and assays are well characterized, et cetera. We would want strong loss of function, probably no alleles for everything rather than different kinds of alleles for everything. We would want informative molecular and cellular phenotypes in multicellular human systems. And we want it comprehensive, so all genes are as close as we can get. And of course, that's an ideal. And as an ideal, I hope it's easy to see the data would be highly informative for multiple tissues, relatable to other kinds of data, so other alleles, phenotype data, consistent standardized, et cetera, et cetera. But we think this is not feasible yet. We don't know the best way to design such an effort. There are a fair number of technical and scientific challenges or barriers, which I'll get to in a bit. We don't understand scaling issues like costs and throughput. We don't understand strategies to employ the tools to be developed, the trade-offs that need to be made, to best explore what's likely to be a very large experimental space. And just getting the data, of course, is not enough. We need to understand how to use it with all that entails from data management to QC to making data interoperable to demonstrating the scientific value of the data in multiple applications. So next slide, please. So why do this? Well, first, there's a paucity of data on human knockouts, though there are resources like Nomad that do yield information. There are mouse knockouts from the knockout mouse project, but mostly for them, no molecular or cellular data. And while mice are an outstanding model, for many reasons, they're still not people. Knockout phenotypes are useful for interpreting other alleles. Data like this would complement a number of large efforts underway to study gene regulatory variation, for example. It could be a resource for insight into biological pathways. And finally, if the cells on which the assays are done can be saved and propagated, they may ultimately represent a collection of disease models for further study. The purpose of phase one and next slide, please, is really to understand the main barriers to that long-term goal by getting started at a scale of about 1,000 loci over the first five years. So really feasibility and how to inform or information that's needed to design a potential phase two. So certain barriers that we call out, though there's certainly others, this is not an exhaustive list of how to select genes, how to optimize making alleles. We need to know what cellular systems are most informative and in what circumstances, what assays are informative, what the potential for scale is of the parts and the whole. And there are a number of interesting scientific issues like specificity and pleiotropy and cellular autonomy and compensation and genetic variability and other variability and getting maximum value for the data. And again, phase one intends to address all these things by starting at a modest scale and at the same time giving room for some diversity of approach. So next slide, please. There are ultimately going to be three components to the Morphic Program. As Ajay mentioned, there are data production awards, there are four awards that will be made by October. There is a data resource and administrative coordination center that will be won award by October. And what Ajay and I are gonna talk about today, mostly Ajay is gonna talk about today, which is the data analysis and validation centers and that's the CFOA. So next slide. So I'm switching gears a bit here just to give some general advice for applicants. These are going to be cooperative agreements, which means that there's substantial NHGRI program management. There are collaborative tasks that are going to be the apparent. Some we've defined and some we'll get defined once the consortium really gets going. Ajay is gonna talk about those, but please read the FOA to find out terms and conditions for how this will be managed. There will be within the program for flexibility to set and adjust milestones, which is always needed in a complex program. There will be a kickoff meeting after the grants are funded in order to establish the consortium. Letters of intent are not required, but we strongly encourage them. They're due October 1st. They really help us get a handle on especially review workload and it's difficult to find good reviewers and the longer our review branch has in advance to look at these, it's the better. The next slide, please. In general, always read the review criteria section of any FOA. This is what reviewers will use to evaluate your application. Please read the instructions to applicants for the research plan sections. These FOAs, all three of them have a separate resource sharing section, and which is not, it is not typical, but those resource sharing sections will be evaluated by reviewers and considered in the score. Please also read the section on review and selection, which lists criteria that NHGRI may apply in selecting among well-scoring applications. Please read the budget section, especially regarding the minimum time commitments and the need to budget for consortium meetings. And please choose any letters of support judiciously. It's great to have lots of collaborators and lots of enthusiasm, but if you have a lot of letters, you may be disqualifying review potential reviewers in what may be a small field. Next slide, please. So we especially encourage applications from investigators from demographic groups or institutions that are generally underrepresented in genomic science, from new investigators, from experienced investigators who are new to genomics, and investigators who have not previously participated in an NHGRI consortium or program. And the next slide, please. Overall, we will, as Ajay mentioned, we will probably post some FAQs if they're depending on the questions that are asked. And please look out for these in the next month on the website, which will be updated. And I think that's it. And I think we should hold questions for after the whole presentation. Do you think that's reasonable, Ajay? Yeah, that's fine, Adam. But I mean, if people are worried that they may forget the question or something, you can type it into the Q&A right now, but we will address them at the end all together. All right, thank you, Adam. So I am now going to get to the specifics of the RFA for the data analysis and validation centers. Next slide, please, Riley. You did two. Can you go back one, please? Yes, thank you. As I already indicated, if you want a PDF version of these slides that are available on our website, some of the fonts especially later on are too tiny. They're there for you to look at later or not we need to talk about today. Okay, so the general outline of what this FOA tries to achieve. So the primary goals for the data analysis and validation center FOA is that to make sure that the consortium's data variability is controllable. Data is useful to understand basic biological processes. It is interpretable for undertaking future hypothesis-driven science by the community. So essentially, a lot of the things that Adam addressed in his morphic overall goals, our main product is going to be the data that we put out and the data validation centers are going to play a key role in ensuring that the data is of high quality and useful biological insights can be gathered from there. So generally speaking, the projects with high potential to eliminate the strengths and weaknesses of the data being generated and the focus on community utilization and obtaining feedback from the community on how we can, you know, things like reformat, re-better experimental designs and so on will be obtained through community feedback. Next slide, please. So the FOA itself lists a whole bunch of non-responsive criteria and I wanted to highlight some of them. We do not expect that there will be WETLAB data generation in your applications to this RFA. Should make sure that you propose to use morphic data and how you propose to use morphic data and not just other similar data sets or complementary data sets. So make sure that you address collaborations within consumption. These are, again, non-responsive criteria and that applications that do not contain a data sharing plan. Next slide, please. So some of the key challenges, as Adam said, this is not an exclusive list and these are some of the key challenges that we have identified and I'm sure you will think of many more. So some of the key challenges include integrating data between the data production centers and as you will see, I'll describe some of the experiments that are being proposed by the data production centers and there are differences in how the experimental design is there and all the other related details and integrating data that morphic generates with other data sets that are available in the community through either other consortia or one work. So yeah, the types of experimental projects that one can think of, but again, this is not limited to this set to figure out how to identify and correct technical bias, batch corrections and other issues that come up with large scale data production and analysis, work on improved experimental design within morphic methods for separating the effect of the knockout from background changes, building things like gene regulatory networks or other pathway-based analysis, data integration across multi-omic measurements. Again, you'll see some multi-omics measurements being performed by the data production centers. So a fair amount of the work that you will be proposing will be paying attention to the availability and the quality control and of course, the data production centers will also be working on quality control and assessment and both of these things, metadata and quality control should reflect both the underlying biology and the data generation activities. And also to think carefully about how small non-morphic program labs around the country or the world for that matter can use the data and the models created by the morphic program for designing downstream experiments that validate a lot of the insights from large programs and data resources and catalogs that we put out. Next slide, please. In general, I wanted to remind you that there are in addition to the things that the scientific aims, there are consortium responsibilities. And again, how good and useful are the data, how good and useful are the metadata and the API and the data access. There are a whole range of open problems that we have not resolved yet with them because we will start resolving it during the first year and later on during the morphic program. There are questions around common pipelines and we expect that the data analysis and validation centers will take a leadership role in making assessments around common pipelines and related issues about sharing data. Okay, next slide, please. So again, as Adam mentioned, there are particular parts of the FOA that you should pay attention to. And of course, the review section and the questions listed there on how reviewers are going to review your applications is an important section to review as well as what the research strategy section of the FOA says. As a reminder, the budget is at 350K direct costs, maximum for five years. And of course, budget should reflect what the actual means of the project are. The applications are required to submit a separate data sharing section. And again, to repeat Adam, this would be reviewed and be considered in scoring. There are very specific review criteria in addition to the standard NIH review criteria that are again listed in the FOA. As a general reminder, the due date for the application is number first. Next slide, please. Okay, I am going to take you now through a whirlwind tour of the four data production centers, okay? And this is just to give you guys a general idea of the types of technologies that are being used to generate the knockouts in and of themselves, the types of cell and molecular systems that are being proposed to be analyzed and the types of assays that are being proposed by the data production centers. And again, as a reminder, once the awards are made, you will get a lot more information about who the data production center applicants, I mean, awardees are and other details about their project. Okay, as some general background, each one of the data production centers has proposed to analyze their own data, but each of the single modality data that they propose to generate. They also propose to do some limited amount of integrated data analysis to discover new biology from the experiments that they are proposing to do. And what I'm going to do in the next series of slides is to summarize graphically at a very high level what each one of the morphic data production centers have proposed in their applications to do. And again, you will not, it's a very high level summary. I've tried to make certain things in the graphics uniform so that there is a consistency between the different projects that you will see. At the end of the slide deck, and I will not, I'll just show you one slide today, but at the end of the slide, then again, as I said, the PDFs are available if you want to look at it right now, that there is a tabular summary which complements the high level graphics that you're going to see in the next few slides. Next slide, Riley, please. So this is project one. So what they propose to do is undertake five different types of assets on differentiated cells. Most of the assets that people are proposing are going to be found in these graphics in yellow boxes. And there is a generic description of the data analysis pipeline that they propose to use. Along with the specific technology, like for example, this one lists Linux genomics. And the green boxes here are when the data comes out of the data production center into the drag the data coordination center. So that's the general structure for these graphics. And on the left, usually almost all projects are starting with IPSEs. They are going to knock out genes. There are four projects, as I mentioned, and all of them propose slightly different ways to knock out genes, sorry. And they include CRISPR-Cas9, CRISPR-OF, as well as Degrand. A lot more of these details are there in the tabular version. And okay, next slide, please. So this one, this is project two. As you can see, this one is proposing to do different types of cellular systems. So they are going to produce three germ layer differentiation as well as cardiomyocytes. They are proposing to do bulk RNA seek and attack seek assays. There is a lot more phenotypic non-genomic type measurements, including calcium transients per cell, as well as microelectrode measurements and how well the cardiomyocytes are feeding and how well they perform electrically. As well as a lot more assays around genotyping. It also gives you some more details about the types of genes they plan to knock out. Some more comments we are going to during our year one, figure out details about coordinating among the different data production centers around genes to knock out, as well as issues like sending samples over to someone else to run their assays and things like that. None of these things have been decided yet.  Next slide Riley, please. This is project number three. One of the emphasis that this project has is to make a lot of their knockout IPSE cells available to the community. On a scale which is much larger than some of the other projects. They also propose to differentiate into three different models, get 2D gastroids and creative eyelid organoids and a triculture system with neurons, astrocytes and microclean. And here they have a variation on the type of transcriptomics they're going to do. They specify that this is one of two centers that's going to perform but of seed type measurements. Next slide, please Riley. So this is the final and the fourth project data production center. They are going to focus mostly embryoid formation and as well as a much larger set of assays. Not, so I want to listen to add that at least for this project and maybe for some of the other projects, not all assays are going to be run on all perturbations, right? There's going to be some sort of a triaging that's done. And this is part of what we are going to assess in the Morphic program, as Adam mentioned, right? What is scalable? What is practical? What is practical five years from now and all those sorts of questions. So they're going to perform perturbs seek and both the transcriptomics and epigenomic manner. They also propose to do a nuclear protein abundance in a multi-omics setting. And finally, spatial transcriptomics using the Visium platform. Okay, that's the summary for all four projects. As I mentioned, there is a tabular representation of this information. Next slide, please. So another important element of the Morphic program, of course, is the data coordination center. Now, of course they are, this center is going to do a lot more than data coordination. They're going to also be the administrative coordination part of the Morphic program. I will summarize what they propose to do in one graphic with a focus again on data because a lot of what all of you are going to be interested in is what is going to be happening to the data and how are we going to play a role in all of this? So next slide, please, Bradley. So this is a summary of what they propose to do. I'm sort of highlighting the data analysis and validation centers from the application that the DRAC has proposed. So as you can see, a lot of their focus is on making sure that data ingestion works properly, that there are identifiers and metadata and all of those things and putting the data and the analysis all in an open manner on a well-designed web portal as well as design of the APIs to access the data and be able to query the data in some reasonable manner. As I mentioned, and you should think about what sort of external data sets are important in your sort of analysis that you propose and if that data is accessible, you should think about making it available within the morphic ecosystems so that one can analyze data together. And that basically brings me next slide to almost the end of the presentation. I will get to questions in a minute. I just wanted to just show you one slide. So Riley, if you could jump to two slides down, please. So thank you. So each one of the tabular representation, there's a project one that is labeled here up on top left, which is the same as the graphical project one, right? So you get a lot more details about what people are proposing to do, what sort of biological questions that they might be interested in and how knockouts are being made, things like that, okay? And with that, Riley, if you can come back to the question that says slides and that brings me to the end of my presentation. Adam and I and Colin, Riley and are available to answer any questions that you have. You can ask your questions verbally or you can type them in, send us email later. Any of these things will work. That's an interesting one. The PDF is missing images from slides 21 to 26. I saw that, okay, we will reconform and we will fix whatever is an error. Apologies if that is, I thought I saw them, but anyway. So the next question is, would small scale experimental validation be allowed in this proposal? I would think that the answer generally is no. Maybe my colleagues have other thoughts on this in general because I think most of the experiments should really be done within the context of the more big data production centers. So how many awards are expected is the next question. I think basically we are hoping to make about four awards, three to four or five, three to five awards. It depends on the details of what the budgets are. This is specified in the FOA. So the next question is, will the presentation be available? Yes, the presentation will be available. The presentation already is available, but apparently this is not right. So we'll fix that and update. For RNA seek, any of the data will have full transcript coverage on only three prime end. So the bulk RNA probably will, I'm unsure about the details if this matters to your proposal, please send that as a question to the Morphic Program at NIH.gov email address. And I'm happy to figure out the details and let you know. Collaboration with all DPCs is expected. Yes, collaboration with all DPCs is expected, but that does not mean that you have to work equally with all of them, the same degree and the same extent. The next question is, so I'm answering all of these live. In a second, let me just update my screen. The questions that have already answered. What types of entities are eligible to apply? So there is a long official list of entities that are eligible to apply. Most of those include the usual universities, there are some federal agencies and applications from foreign institutions are allowed, applications with foreign subcontracts are allowed. If you have very specific questions, feel free again to email us and we'll be happy to answer those sorts of eligibility questions in more detail. Okay, can we propose new analytic methods algorithms in the proposal? Yes, you can and you should propose new analytical methods and algorithms in the proposal. Or it will be more engineering driven. I mean, some of the methods would be engineering driven. I mean, if there are standard methods that are available in the field in the area, you should of course, compare your new methods with the existing methods and to make sure that one is doing the best work when that is possible. There will be some amount of engineering that is required, you know, I mean, at least at GitHub and Jupiter notebook level, you will have to provide your source code should be made available in those sorts of details. The idea for the data coordination center is that they are more likely than not going to wrap them up as I'm missing a noun. They're going to wrap them up and use them in a cloud driven framework. So, at least at that level, they are engineering driven. Are the knockouts at our home? Adam, do you want to try to answer that? I don't. Yeah, I think the assumption is mostly homozygous. As a default, but there are certainly going to be circumstances which heterozygous will be important to analyze. For example, when there's a huge amount of diatropy or just a really early and awful lethal effect, something like that of a homozygous. It's one of the things we have to understand. I think we have to understand the answer to. I think there's already some data that provides insight into that, but I think we need to answer that in the context. Of the program. Okay, thanks. So next question. It appears one key aspect of. Whoops. I lost my question. It appears one key aspect of the program is to create bridges to other synergistic programs and data collections. The answer is yes. And also for. Yes. So there are multiple ways one can think of doing this. And you are welcome to propose your own methods. So I think that's one key aspect of the program. The next question is where can we find planned data details? That is the number of samples, number of models, types of data monorailities. So you will likely not. Find that level of details, the total number of applications and the total number of samples. So I think this is critical for you for some reason. And please send us an email and we will try to get this on this question answered. I will say the following generally speaking. So the data production centers actually propose to do a lot of QAQC around how well the knockout has been knocked out. How well the phenotype gets carried through once they start differentiating into specific cell types and a lot of those sorts of details. And presumably all of these things will work so that you will actually have data available to the community. But if you need for your application details about the total number of samples and things like that, please send us an email. Yeah, especially if they go beyond what Ajay put together for the tabular summaries, please have a look at those first. There are so many data modalities in from project one to project six. Can we cover part of the data modalities or is it required to cover most of the data that's generated by the DCs? The other is no, you do not have to cover all of them. Having said that, if you just say that you are only going to deal with RNA-seq data that is probably not going to be, that's not going to make the reviewers happy, but you know, I'm not a reviewer icon. But generally speaking, you should think about what Adam said, right? I mean, the overall goals of the morphic program are what we emphasize when we do our reviewer meetings with the SRO, right? So the SROs are the pre-meeting with the reviewer group. We are going to emphasize the roles and goals of the morphic program to the reviewers so that when they read the applications, they understand how a particular proposal fits in with the overall goals of the morphic program. I hope that answers your question. I can give another kind of answer, which is, boy, we would sure like to get out of the phase one, what it takes to really make some currently difficult to use or difficult to harmonize data to make it really useful. And maybe it's just not the right data. Maybe that's the answer, or maybe it's interesting data, but it just isn't obtained the right way. It's too variable. Something like that. But we need to know as a consortium at the end of the day, we do need to get a much better feel for that than we have now. I know that doesn't help with an individual application, but I think Ajay gave the individual application level answer for that. Okay. Next question. Okay. No experimental work within DAVs, but how much interaction might be feasible? That is validation raises specific issues, but how much feedback is felt or what's needed? And how much feedback is fed back to production centers to be resolved by more lab work there within the time frame from the project. And the answer is, yes, to all of these things. We do expect to be a very active consortia. And we do expect that insights from your analysis of the data sets will be taken into consideration when, your tool of the work in the data production centers in year three and year four, five. So yes, we expect Adam, do you want to add anything? No, I think there's obviously, there's going to be some resource limitations to how much can be experimentally validated, but if a production center has data that needs to be clearly would be useful and needs to be validated and they're not, they're sort of within the consortium, there's not the right kind of validation being done, then that needs to be part of the discussion of the consortium and certainly it's a kind of thing we could ask people to do, we could ask production centers to do more of. Okay, next question, ask for the engineering, aspects for part of the work, would it be okay to include software web developers to go beyond just GitHub repositories and interactive web servers? So I, this is a tricky question and I want to be careful answering this. We do not want multiple places to start, multiple places with multiple grantees within the Morphic program to just spawn websites of their own because it just creates a lot of confusion within the community. Now, having said that, if you think that you are, so I'm guessing that people want to propose specific tools that will do specific things and we expect that these tools, if for example, they require a web interface, for example, to enable access to biologists who don't want to be writing programs, then we expect that there will be links from the main Morphic page which will spawn off other pages that you may want to develop. So yes, software web developers would make sense under those circumstances, but I just wanted to clarify that, it's not going to be a completely independent website that you can put up. It's not very helpful for the large program to do that. I hope that answers the question. Adam, do you want to add anything? Colin, do you want to add anything to this? I think Colin should probably add it. All right, Colin's silence I'm going to assume means he has nothing further to add. Okay, so the next question, how long do you expect it to take for the data from the Morphic centers to be generated and shared with the data analysis and validation centers? Well, I will give you a generic answer. I don't know. I would guess that there will be hardly any data in the first year. Specifically, there will be very little data that comes out of any of the differentiated and more complex, organized systems. There might be some data, some preliminary data, especially at the IPSE and especially some of the simpler assets to run. Adam, do you... Yeah, I just, the only thing I really want to add is that the production centers and the DRAC will have almost a year head start. But I still think if we're lucky and things work very well, then I think data should start about the time that this FOA would be funded. There should be some reasonable amount of data to get started, but it wouldn't surprise me if it took another six months to a year beyond that to have enough data that was QC'd to the extent that people would really want to start devoting a huge amount to it. So I do think it's going to be in that sort of second year of data production. It's going to be a make or break year for the timing of what the analysis centers can do. So the second part of that question is, in other words, for a five year plan, how long do you expect to develop methods and explore them with non-market data? So based on Adam's answer here, right? By the time you guys joining, there should be a reasonable amount of data. However, I think it is very important to compare data sets between, I mean, compare across high quality data sets. So if you do have relevant data sets to bring on to the table, please do. Okay. How important is novel visualization development for this RFA? So I will say this. This may be insufficient of an answer. I think visualization remains a big challenge for a lot of biomedical data sets for a lot of reasons. So yes, that will remain true within Morphic as well. So if you have new ideas and new methods by which data can be visualized, especially in thinking in terms of integrating across data types, that would be useful thing to have within the consortium. And as a tool that is deployable on the website. I think I have answered all the questions. Are there any questions I have not answered? As I said, I will go back and fix the slide availability question. Really annoying me at this point. Sorry, I'm rambling. So as I said before, please send us an email if you have more specific questions, the questions that some of the details that we were not able to address, we are happy to address via email. One of the things we try to do is, as I said, put out a pack so that we are fair to the community and open to the community about answers to questions that are generally useful. Okay, it looks like there are no additional questions. Is that true? Anybody has any lingering? Okay, I just confirmed that for some reason the images are not there on the PDF. Okay, I will fix this problem shortly. My apologies for this. Okay, it doesn't seem like there are any additional questions. And Adam, should we just bring this to a close? What do you want to stick around? Adjai, I think we should stick around to the top of the hour. But I agree, I don't see any additional questions. And we can see the participants, if everybody leaves, we can wind up, but I do think we should stay. All right, Adjai, I think it is essentially the end. Thanks, everyone. Thank you all. Thanks, Gerald.


Hi everyone, I'm Brian Sakawa and thanks for tuning in to another episode of Ask He Spoke Style. This week I have an email from Travis, who is an architecture student over in Switzerland, and he writes, I find myself all too easily falling into a uniform, a routine every morning of deciding which button-up shirt, which pair of pants, and what shoes to wear that day. I haven't realized this until recently, but it seems like I have been lacking creativity and that my outfits have been reduced to a formula rather than a spontaneous expression of my attitude or mood for the day. I would appreciate any insight that you have on dispensing with the daily uniform. Personally, I don't think there's too much wrong with having a uniform. I mean, having a uniform makes it really easy to get dressed in the morning, and when it comes to personal style, having something that identifies you, whether it's a certain piece of clothing or a certain style of dress, is actually kind of a cool thing. But I understand that you can definitely get a little restless or feel uninspired, especially if you're wearing the similar sort of thing every day. So let's talk about a few ways you might break out of that rut. Rather than changing the foundation of what you have because I think what you're doing is classic and really good, let's talk about things you can add to that foundation. First thing you might want to add, especially now that it's fall and that you're in Switzerland, is a scarf. I love scarves, scarves are a really great way to add a really interesting detail and sort of show that you're going the extra mile and putting a little more effort into your style. A silk scarf is a really great option. Next, let's talk about hats. I know some people aren't hat people, but if you are or if you're open to the idea, a hat can be a great way to completely change your look. Let's talk about one more thing, and that is adding a waistcoat to your look. I'm a huge fan of waistcoats, whether you have one from your three-piece suit or you buy one as a separate, a waistcoat is a great way to kind of dress up your look, make it a little more dapper and add a little bit more interest to your outfit. So those are just three really simple ways that you can take your self-imposed uniform and dress it up and change it up and make it look a lot different. Questions? As always, send them in via email, brian at heespokestyle.com, leave them in the comments, or get in touch via Twitter or Instagram with the hashtag AskHSS. Thanks for watching everyone, I'll see you next week.


What's going on YouTube? How y'all doing? It's been a minute since I posted my last video. It's been like 10 days, almost like two weeks. I know I said I posted a little bit more frequently, but I was on vacation for about like four days. And then when I got back, it was my birthday this past Tuesday. So, you know, we just had to... Happy birthday to you. Everybody that reached out to me, that was some real ones. I had a fun time for my birthday. They spent it with friends and family, had some dinner, you know. The ones that reached out commented on my Instagram posts. I love y'all. In this video, we are doing a high taper. My client had curly hair on top. He hasn't got cut in about like a month. So, you know, we had to bless him. Feel me?  Let me know what you guys think in the comment section below. You can hit me up on Instagram. Or you can also hit me up on YouTube. So, feel free to hit me up, man. Like I always say everybody, peace and love, baby. With good YouTube, how y'all doing? I'm back with another video. I know it's been way too long. It's been about like a week. I had so much things going on, but I'm back making a video for you guys because I love you guys so much. I love y'all so much. But we are doing a high taper. As you can see, I am tapering the back or I'm balding out the back with my babyless liners. The line is not gonna be that straight because of the angle I was cutting at.  So, please bear with me. I know I did not take my own advice about making the guidelines and the ball line straight. So, please bear with me. I'm sorry. So, for the first step, we have our Andis Masters creating that first guideline about fingers width to about half an inch or about an inch. As you guys can see, I was struggling to get the hair cut because his hair is very curly so it was really hard for my clippers to get through. So, what I'm doing when I get to the top is I'm just kind of flicking out. Flicking out, it was kind of hard because like I said, it was curly. So, the guidelines don't look that straight but as, I don't know if you guys watched my previous videos before but just make sure that you follow your guide and yeah, look how uneven I'm. Sorry, it was the angle I was cutting. So, make sure you have the lever all the way open to make that first guideline about half an inch to about fingers width. I don't know exactly how many inches or centimeters that is but yeah. So, we have our number two guard so I'm just taking off the bulk on the hair of the two and I'm just flicking out when I get to the top. I'm just trying to clear out the area because I couldn't see when I was making my first guideline so I was like, you know what man? I have to be able to see. So, I'm using the two to clear out that bulk of hair so when I do setting my other guideline it will be able, I'll be able to see what I'm cutting and you guys will be able to see what I'm cutting as well because this video is for you guys because like I said, I love you. So now that we got all the bulk out the way with that number two, I'm going to close up and blend out that ball line that I did in the beginning with the open lever. We close it and then we play with it halfway then open, close it, you see how I play with it. Take out as many dark spots as you can. You got to play with the lever to understand like what hair or what lever is going to cut which hair. So play with it, use the corners of your blade to kind of take out any dark spots or whatever you need, cut it at different angles because his hair is kind of growing at an angle on the right side right there so I'm cutting at an angle to the right. So make sure you guys keep that in mind. Always use the corners and always play with the lever. So now that we're finished with that step we are going to use our number one guard to make the second guideline. I have my Andis Masters purple guard, the magnetic guards. I don't know if you guys have access to these guards but I do like using this with coarse hair. So what I'm doing is I'm making a guideline about an inch to an half an inch and when I get to the spot that I want to stop at I flick out so that way it doesn't make a hard line. So that way I'm able to basically blend it out even easier when I do kind of want to take out that dark spot. But I think on this part you can see it's kind of blending already. So I'm just using the corners to kind of blend into that number two guard that I did. You can use the corners to kind of take out any of the dark spots. So I'm just flicking out when I get to the spot that I want to. So it is blending into it. So it'll take some time but if you've been cutting hair for a while like I have it's I mean it's pretty easy to do but I have my zero garden here and now I'm about to just take out that line that I had with the number one. I have it closed all the way and when I get there I'm just flicking flick flick because I don't want to go past that number one guard that I did. So when I get there to right there flick flick play with the levers, flick flick that's probably the best way I could do. So I close it up first and then flick flick and then if it's any darker than I do halfway and then play with the lever open. I know my guard has like a little chip in it but I've had these guards since like barber school. So I've had these guards like like nine, 10 years now. So yeah, I think it's time for me to get new ones. I got to contact Andis to get some new guards because I know the newer zero guards they came out with before they kind of, I didn't like them. So I know that Andis came out with better ones. So yeah, yeah, but I don't know if you guys like masters cause they are kind of heavy but I do recommend masters for coarse hair because for some reason it's, they do, they do pretty good for me. It's probably one of my favorite clippers, the Andis because you can cut honestly any type of hair. It's just like a lot of people don't like it because they're very heavy. So, but the heavy ones were when you had the corded clippers. I don't know if you guys remember the corded clippers but the corded men masters, hey man, those were heavy, you know? But right here, I'm sorry for talking too much guys but right here, we have a number two guard like what we did in the practice to debulk all the area. So we have the number two and I'm just flicking up when I get there, getting around the ears so that way I'll be able to set the line up pretty, you know, nicely. And then when I get right there, I'm just going with the grain just to see what the guard is gonna take down the hair. So it does, it does debulk it. So yeah, I was talking to my client a lot right here about, I think football is something.  That's how you keep your clients. You gotta build a relationship with your clients, you know? Some people, you know, I've been in a lot, like three different shops and like some barbers, they don't even talk to their clients. And it's kind of like, man, you gotta interact with their clients, you know? But back to the cut, I am gonna bald out. So I'm doing a high taper. So I'm doing a ball line kind of where the hook starts on the top of the head. So I'm doing right where the temple's at or right with the bottom of the vertical bars, you just bald it out right there and make sure that you gotta go kind of by the ear.  And I don't, that's not my style, a taper. Some people do like it, but that's just not me. I don't really like the, you know, the taper so far back over there because it just makes it look so like bursty, you feel me? So now we're just balding out with my Stylecraft balders. These ones are actually pretty good. I feel like they die. Actually, I feel like they die pretty quick. Yeah, I feel like they die pretty quick. I do like the Andis ones or I do like the Wall ones, but these are my Stylecraft balders. And I do like these ones a lot. They do the job, they get very close and everything. You just gotta charge them quite a lot. So we are gonna have our masters again, making the guideline about fingers width or about a half an inch. I'm using the corners. When I get around by the ear, I kind of make it at an angle. I kind of do like a little, like a rainbow type thing, you know? Because I don't wanna go too far in the back, in the back of the ear to make it like heck of a big taper. So we have our, we close the lever right here and then open it up, close it halfway open, close it halfway open using the corners because that's the most important part of tapers, use the corners because you wanna, you have more precision, you have, you can, you have more, just more precise. So I don't know how to say it. I'm not really great at explaining things, you know? So we also have our number one guard right here doing the same steps that we did in the back of the head. Number one, get to the top where you wanna stop at.  Once you get to the back of the ear, you kind of wanna round it off or kind of do at an angle so that way it doesn't make it too far in the back over there. So that's not like a broken record, y'all. I really do sound like a broken record. So we have our one and a half guard on our, the magic clips? Yeah, the magic clips. Those are one and a half guard. I got these guards from the style craft clippers they do come with guards. So this is a one and a half. So what I'm doing, I'm just cleaning up that area on the top because I did see it was dark. So with that one and a half we'll just kind of take out those dark spots because we did it too. You remember to take off the bulk. So just use the corner of the clipper or the guard and just, you know, flick it out.  So you got to comb a lot when you cut coarse hair. So we have our zero guard again. So we were just going to use the corner of the blades that hair is kind of grown at an angle right there. So using the corner, close it up halfway open play with it a lot to take out any dark spots that is necessary. I'm just trying to clean up everything right here because it's already kind of blended. So I'm just cleaning it up right here. Just cleaning and cleaning. I know it looks like I passed some in the back to the ear right there but his hair is kind of like weird back there. It kind of grows at a different angle. So yeah, I don't know. I've been cutting this kid for a long time and I've always, every time I cut him back there like it always, it kind of gets like a patch or it looks very light back there. But you know, that's just the way his hair is. It's crazy like that. So now for the lineup we are doing. Well, first off we're just combing out the hair because his hair is very long out there. So you want to get the hair nice and even by combing it out. I think we're going to come in with a one guard or one and a half open or one open. Yeah, a one open on the masters. We're going to go with the grain so that way it deep bulks the hair line. So when you do setting that first line it's going to make it nice and crispy. So we're doing it with the grain. A lot of people do like a one and a half or a two but I like doing a one. I mean, for this instance his hair is very long on top so you can do it either way. I like doing a one because to me it makes it more crispier when you do it with a one other than a one and a half because I don't want to have to keep going over it and then having to brush it back down again with a one and a half or two. So a one open with the grain works best for me because that's just like how I like doing it. I've been coming here for a while now. I'm not going to tell you that that's the best way but for me it works. But I don't know if you guys seen what I just, you know, kind of had the shaving cream right here. He had a, I'm just cleaning up the area right there but the shaving cream is going to do is just going to lift the hair when I put a hot towel on it. And also it takes off any excess dirt you have on the forehead. So we have our hot towel right here. You see that thing steaming. Make sure it's not too hot for your client's forehead or skin. I tested it out on myself, on my wrist before putting it on him. And I also asked him when I was putting it on, is it too hot? He said no, so yeah. So you want to keep it on there for a good, probably like 20 to 30 seconds. Make sure you apply pressure on it. So that way the steam could, you know, get to the hair and make it stand up. So you want to keep it on there. And like I said, 20 to 30 seconds. So for the lineup, we're going to start from the middle and then work away from left to right. With the hot towel, it really did help out because it is cutting like it, you know, it's kind of do it like butter. So we're going from the left to right. I always just say, however you guys want to make your lineup, that's on you guys. I can't tell you how to do it. It's just all what you feel comfortable with. So I start from the middle, to the left, and then to the right. Make sure it all meets into the middle at the end. Like, but there's really nothing you can say about it. Just make sure that the lineup is straight, you know, make sure the lineup is straight and try not to cut your client's forehead. You know, some clients have sensitive skin.  So I was like, don't do that. So we're putting in the handspins on. I know a lot of people, they get on me for not recording, me putting in the handspins on, which I don't understand why. But like I said, just make sure that when you do apply the enhancements, just follow your guide. Follow the lineup. That's all you got to do. That's what I told you guys before, just make sure that the lineup is straight as possible or straight as it can be. And then just follow it. Just follow it. Just don't put too much on the forehead because you don't want it too shiny. So just follow it. You want to just kind of let's tap it, tap it, tap it. Because I have put a lot on somebody's forehead and man, dude, it looks shiny as hell. So you don't want to do that. Just tap it, tap it, tap it. If you see it and it looks cool, keep it like that. Just tap it, follow that lineup. And I mean, you guys are Gucci, man. That's what you got to do. I'll put the airbrush machine and also the airbrush gun in the description below so that way you know what you want to get. I do use the kiss express dye. I use the black, not the jet black, just the black and or dark brown. I do use those ones. So kiss express, I put it in the description below as well. Look at that cut, y'all. Looks fresh, right? Let me know what you guys think in the comment section below. Thank you guys for watching my video. Put the post notifications on, like, comment, subscribe. Man, like I say, man, I'm very humble for you guys to watch me. Peace and love is always love for me. So thank you guys a lot. Until next time, I'll see you.


Hello everyone, welcome back to another session in dentistry and more today we have monitoring and surveillance These two are very confusing terminologies from epidemiology Or it comes under the disease or health management So first we need to understand that Monitoring is just a part of surveillance. So if this big circle is surveillance, this is monitoring So monitoring is just a part a subset of surveillance both comes in Understanding the occurrence and distribution of disease if a disease happens in one place We need to monitor and we need to have surveillance to control the disease in order to study the disease So monitoring Is continuous oversight It's nothing but just looking at Something whether it is going as per the plan or not. So this is oversight. We are not Making any much effort instead. We are just overseeing it so but still it is a continuous overseeing of the events which is happening with regard to the understanding of that this is with regard to Analyzing the distribution and occurrence of disease but just overseeing, okay Whether they are actually proceeding according to the plan or not that is monitoring but Surveillance, it's a continuous scrutiny scrutiny. We know we need to go in deep that is deeper Understanding of the disease deeper analyzing the disease. We need to collect the data understand the data analyze it So all those things this is scrutiny. This is just overseeing So all saying it's very easy job. It can be done by a technician. So this is basically we must say This is just a management tool. Any person can do this overseeing But this is a technique Sensitive it needs expertise so it can be done only by professionals such as doctors community Professionals public health professionals or bio statisticians because it involves scrutiny of occurrence and distributions of disease This is just overseeing so it can be done by a technician so this is just a one-time activity, but Surveillance is a continuous cycle. It will not be stopped even after the disease stop because in a place We have a sudden epidemic of cholera. So we are going there We are keeping monitoring and surveillance even after the disease is eradicated or eliminated. We still continue surveillance But monitoring is one-time activity once the disease stopped. We stopped the monitoring But we will be having surveillance team. So we will be checking the future data future What a sample to make sure that it is not coming back Monitoring is happening only when that disease happened. So that is one-time activity This is a continuous cycle Because we still have polio virus surveillance polio I think some five six years ago, but still we are having polio surveillance So that stops after the disease eliminated Heredicated and this is a bit smaller concept as I mentioned Monitoring is part of surveillance. It's a very smaller concept, but this is very very broader concept And in monitoring we don't take any feedback because it's just an overseeing Mechanism we are not doing any scrutiny. We are not analyzing the data but in surveillance we need to have feedback we need to understand the data well so that The corrections can be made in future plans and there is no inbuilt action as per monitoring. We are not Making any changes. There is no action Associated with monitoring, but there will be action associated with surveillance. So the data we obtain from surveillance we need to Act upon the surveillance data, but monitoring by default. We don't collect any data much so that where the Seven differences between monitoring and surveillance commonly the examples Water pollution monitoring air pollution monitoring noise pollution monitoring. This is just monitoring We have equipments. It just monitors what is a condition, but surveillance is different We have demographic surveillance that is we understand the demography the age the gender the social economic status The ethnicity the religion so everything we understand and make plans and we change the Population what are the needs and we continuously change according to the data we obtain from surveillance similarly nutritional Surveillance in nutritional data. What are the wasting problems tundin problem who are under malnourished? sections so all those things we get and we act upon the Data similarly sentinel surveillance surveillance we have many types active surveillance passive surveillance sentinel surveillance So this is a very broader concept. So I just want to Explain the difference between monitoring and surveillance So I can give you just an example to Understand monitoring and surveillance the example for monitoring is when we were in Younger classes. I mean schools when our teachers were not there One teacher will come and appoint one student to monitor the class Who are talking who are making noises who are playing when teacher is not there. So who you'll be standing in the front and Make sure that nobody makes sound. You might be the class rep So we'll make sure that nobody talks nobody plays So that is overseeing. Okay. It can be done by anyone not just a class rep any person can do The monitoring you can make sure that nobody talks nobody plays So it's just a one-time activity. So once the teacher backs to The class it will be stopped and it is a very smaller concept teacher won't ask Who will talking whoever playing so sometimes the teacher might ask but it is not required because teacher Just want the class to be silent So he appointed one person to just oversee the condition. I mean oversee the class atmosphere and there is no action the Student who was appointed as this overseer will not make any actions. He won't go with a stick and Be the students. He just overseeing it. But in surveillance, just imagine you're joining Dentistry course or MBBS course. So there will be a scrutiny. So you won't just Go into a medical college or dental college. You need to Have all those exams to clear up and once you are appointed So all these done by professionals once you are appointed, there will be continuous scrutiny or there will be continuous exams and continuous Practicals and it is a very broad concept. You need to have five years exams and there will be continuous feedback to the staffs and faculties and Depending upon those feedbacks, they will take actions. If you're not good at academics, they'll take actions. So that scenario you can Simulate with the surveillance and this classroom scenario You can simulate with monitoring for just easy to remember. Okay. So monitoring and surveillance It's mainly comes in health and disease management Monitoring is just a management tool. It can be done by any technician. This is done by professionals It is a continuous cycle. It is continuous even after the disease stopped or eradicated And it's a very broader concept and they take feedback and they have inbuilt action To correct the problems what they occur during the ongoing phase So if you understood this concept monitoring and surveillance, I'll come with another topic in the industry. I'm all thank you


Hey y'all welcome on back to the channel. That is a hog's tooth right there. We are going after hogs First of all, let me ask if you please to subscribe to the channel if you haven't already Y'all we are getting close to that million subscriber mark a huge landmark For this channel. I've been doing this for Dag um probably ten years now on YouTube and to reach a million subs would be awesome So please tell your tell your friends tell your family to subscribe to the channel give it a look give it a sub And also Black Friday is upon us y'all it is time for big-time deals big-time savings at googinsquad.com You guys want to receive 20% off. I'm talking our googin baits All of our googinsquad stuff 20% off we're doing for Black Friday sale That'll be linked down below. So go check it out when the Black Friday comes around. So we're here at the lease of day I was out here doing some work and doing some scouting. I am still in search For that trophy buck so far. I've seen a few on trail cans. There's randomly Setting them out, but really a trophy out here is any ten point that is mature We don't have any any giant deer. My dad took a great buck. I took a great call buck And there's there are quite a few call bucks still left out here And if I don't see any giants through the rut, I'm gonna end up Probably going after another call buck just a mature buck that that needs to go But what we're gonna be doing today is hog hunting and while I was scouting this morning Of course ran into the hogs again. You know, I saw a nice buck There was some good does running around that the bucks are starting to chase But uh, the hogs came in and there was a big old boar in there and uh, they were just, you know They ran everything out as usual So the hogs are always on the hit list out here And I want to try to get one of those big boars or big sals It's been doing some breeding out here making them little pigs grow up to big pigs And did you guys know that the reproductive rate on a wild pig is just crazy I mean, they are a mature breeding age, but before they were even a year old It's like six or seven months old that they're able to start reproducing again So it's nearly impossible to get rid of hogs, but they are fun to hunt And even though they are a nuisance animal, they run off the deer It is kind of cool that they're they're running around and they're a fun animal to hunt So the thing I've got in my hand right here, I've been wondering about for years This is a ozonics ozone emitter and I've always thought these were kind of smoke and mirrors I haven't I haven't believed the hype on them So I thought I'd give it a try and I thought I'd share the experience with y'all We've got kind of a weird wind today. It's out of the east And it is a bad wind for most of our our stands and blinds that we have out here This is a good thing to break out today because it's going to be we're going to be getting odors Drifting into a lot of the feeder pens and direction where a lot of the animals come from Because all the blinds and stands are set up for a predominant north wind For hunting in the winter months. So I've read the instructions on this thing. It's charged it up I think I know how to handle it and how it operates and we're going to be going to the same Area that I saw those pigs in this morning where there were some bucks chasing some does And I went ahead and I set up a pop-up blonde and I brushed it in really good Looks nice. And I think a lot of these animals are going to be coming from The downwind direction from where we're going to sit. So we'll see if this comes in in handy So we got about an hour and a half till the sun goes down So let's go ahead hop in the meat wagon head on down to the pop-up and get this thing set up So the wind is coming from the side blows To the animals makes it a challenge bait some attractant some hog attractant They set out some cool. So to the pen is like 30 something. So I was sitting left too. So I just had to be called really sitting right there. So Hopefully it works setting the mood At deer camp with some Edison lights and the big old live oak tree That's the latest addition here at the lease and I gotta say it is fantastic Come out here. We've got some picnic tables I'm gonna eat my dinner here in just a minute. There's an armadillo 20 feet over here or that sucker go And go figure hogs didn't show up Which is incredible because on my trail cams in that area. I've seen hogs every evening Like they're every evening for the last At least week So I'm gonna go there in the morning. I left everything in the blind And we're gonna try to get one, you know, the gimmick thing that I thought it was With the the ozonics I was in a new blind. So it was already kind of sketchy With the deer, you know, it was something brand new. I brushed it in well, but There was no scent being detected though. And I was close very close And the wind was light enough to where they could have got a whiff of me and even On the downwind side, I had three deer walk from that direction And they never winded me. So so far That's off But I'm gonna sleep well knowing I had a great night and the great outdoors watching some deer And then we'll give it another shot in the morning. So see you guys in Monster bucks, we're definitely on the scent of the buck I saw here yesterday, but he looks like just a Big mature 8.84 years old.  They absolutely destroyed that too. They love it So I think I'm gonna pack it up. Maybe give it 10 more minutes to see if Anybody comes out, but sorry bud. You picked the wrong treat you get into I feel bad for him, but uh, it's on the other side of the property Not much I can do about that Oh guys Thanks, you all see how many ducks are about to fly off this bond My shot done this time every time I fly it every time there's like 40 50 look at the ducks Saw or some of y'all commented that I should hunt these bonds out here This is my kind of duck right here, you know, just roll out of the camp Come down here No setting out you can get them as they're coming in early Okay, so thoughts on this ozonics Well, I went on two hunts two sits the exact same blind I did notice that the deer were more calm When I had this running. Do I still think it's hocus pocus? No, I think there's some validity to it Um, but is it the end all be all? I don't know. I probably could have killed a pig or a deer Right there. Had I not had it obviously we had deer And again 15 yards away same situation, but they were more weary. I could see them coming in Raising their nose I could see when they were out in front of me. They were looking in the blind a lot more They were trying to figure out what was going on. They could definitely smell something whereas when I did have this on They were extremely calm So obviously it needs more testing, but I would say initially there's something to it and for all those curious This is the ozonics hr 230 I ordered it off amazon And you guys can check it out for yourself if you're hunting out of a tree or a blind Uh, and you got a kind of a weird wind situation. Yeah, it might help you out and no piggies showed up, of course It's like every time I go hunt for them. They just go into hiding Uh, but a lot of white tail running around and it's awesome to see that the bucks Are getting into full rut mode. Some of the bucks had does pinned down. They were chasing them. They're really running Around this is the time of year where you just you can sit And see a lot of deer or you can walk around try to rattle them up You know you sense use all those it's it's more fun in my opinion Um than just the deer coming to the the corn feeders, which they really have not been coming to the bigger bucks Are just on the move chasing tail. Thank you guys for tuning in to another episode in the great outdoors Don't forget to subscribe here to the channel so we can reach that million subscriber mark What will we do for the millionth subscriber video? That should be interesting Leave me a comment down below and wishing you the best of luck in all of your outdoor adventures God bless you. I'll see you soon


The Coalition of Rivers Civil Society, CSO groups are accusing the Minister of Federal Capital Territory near some weekend of causing anarchy in River State. Speaking on their behalf at a press conference on Monday, the convener of Orgoni Development Drive, Solomon Lenu, says the Martin's Amiwole led group of the Rivers State Assembly has continued to violate a court order restraining the two groups in the dispute from sitting. At the event in Plotakot, he appealed for the swift intervention of President Bolett in order to call Wicke to order threatening that they would soon occupy the Minister's office in Abuja in protest if nothing is done to resolve the Rivers Crisis. Lenu, who is also the Public Relations Office of the Coalition of Rivers Civil Society groups, called on the Inspector General of Police, Kayo Dei, and Beto Kunutu intervened in the alleged continuous flouting of a court order by the Amiwole group. Let me use this opportunity once again to call on President Bolett-Mentinbu GCFR to call the FCT Minister, Mr. Yasun Wicke, to order. It is obvious that Minister Wicke is hell bent on throwing the state into anarchy by using lawless lawmakers in the state assembly. This is exactly the same act that Wicke accused his predecessor and political mentor, right Honorable Rotimichuk Wicke Amici, of doing in 2023. Wicke has chosen the parts of this honor by orchestrating to destroy the house built because certain things do not go his way, and that's why. Wicke is spending governments resources from the FCT Treasury to sponsor some dissident lawmakers to ensure that they make the government of Sa Sibnyalai Fubara ungovernable. But we, the reverse people, are telling him that just as he completed his 80 years as governor, Fubara whom he Wicke brought to us, will complete his term no matter the storm.


This study identified several key areas where interventions could be implemented to improve school food environments in South Africa. These included regulating the types of foods available at schools, training school staff to promote healthier choices, and placing warning labels on unhealthy foods. This article was authored by Agnes Ursa, Safira Abdul Karim, Turai Rufa Panela, and others.


I asked my doctor before having an operation if I would be able to play the banjo. He said, gosh, I hope not. I want to wish a special shape grammar a very happy birthday. Happy b-day to Ban Joseph Murphy. I hope you enjoy your special day. Keep being awesome.


Hi and welcome to the session. I am Asha and I am going to help you with the following question it says which of the following pairs of sets are disjoint? So first let us learn what are disjoint sets. The intersection of two sets is a null set then the two sets are said to be disjoint that is a and b are two disjoint sets if a intersection b is equal to a null set. The help of this definition will solve the above problem so this is the idea. With the solution first part says to check whether the pair 1, 2, 3, 4, x such that x is a natural number less than or equal to x is less than or equal to 6 are disjoint. So first let us name these two sets as a and b as the set having elements 1, 2, 3, 4 and b is the set having elements all those natural numbers which are less than or equal to 6 and greater than or equal to 4 so the elements are 4, 5 and 6. Now to check whether a and b are disjoint we will have to first find a intersection b and a intersection b will have all those elements which are common to both a and b and the common element here is 4. This implies that a intersection b is not a null set and hence a and b are not disjoint that is the given pair is not disjoint. So our answer is not disjoint it completes the first part and now proceeding on to the second part which is a is two sets as a and b and now it is find the intersection of a and b if it comes to be 5 then the two sets are disjoint otherwise not. So the common element is e how there is no other common element so the intersection of a and b is the set of all those elements which are common to both a and b and that is e. So this implies a intersection b is not equal to 5 and hence the two sets are not disjoint which completes the second part and now proceeding on to the last part two sets first is x such that x is an even integer the second set is x such that x is an odd integer. Now let us name the first set as a and the second one as b so a will comprise of all those elements which are even integers that is starting from minus infinity to minus 4 minus 2 0 2 4 and so on up to infinity so all these are even numbers and the set b will have elements minus infinity to all those elements which are not divisible by 2 which are minus 3 minus 1 1 3 and so on. So all these numbers are odd numbers and now we need to find a intersection b and on observing the two sets we find that there is no element which is common to both the sets and hence the intersection of a and b is 5 so this implies a and b are disjoint sets so these two sets are disjoint and thus our answer is to find which of the given pair is disjoint so the third pair is disjoint so this completes the solution hope you enjoyed it take care and have a good day.