All right, Cyber Traders, welcome on back here. We have had quite the event filled day here this Tuesday, here this afternoon, of course, 2.30 p.m. Eastern, January 30th. Great to see Grant and Bill still with us and Linda just before posting some earnings to be announced coming up after the close. So great to, I appreciate that very much and Michael and Margaret, Ravina, all of us just joining us otherwise, namely inside our live trading room, great to have all of us back there and all of us back otherwise in social media, Facebook Live, LinkedIn, Twitter, YouTube, the works, et cetera. So like we had said, we have a very busy day today. We had phase three class in the morning. We have phase three class coming up this afternoon. So for all of our gold platinum diamond C2 students, you folks know you got access to that coming up at three o'clock, just with Thoustow trading the market close really and just basically going through the same motions that you went through with him in the morning session, just gearing it towards the market close. Now I know that he had mentioned just even before from Traders Talk and with Benzinga on, he had mentioned, well, this is a really informative class the morning session. Every advanced class that we do, it's in a different market environment. Here this week actually tomorrow might be a little bit slower with the Fed meeting announcement coming up that afternoon, but between the earnings that came out from yesterday into this morning, there were a bunch of great trades that he was following and he took some money on some swing positions he had and went over that with all of you folks there. So again, phase three will be coming up at three o'clock but we did have Benzinga, the fine folks from Benzinga, Ryan and James from Benzinga Pro demonstrating their platform altogether. So we hope that you folks enjoyed all of our students that registered for that event. Of course, Benzinga Pro, the real time live news feed subscription program that you can get not just with news feed, but signals, their calendar and not even just with earnings, but UOA as well and just scanning involved. This is what I always use here during these meetings. So in fact, actually, if we were to just jump to it here, LQR, not up really a whole lot percentage wise here, you could tell it's up like eight to 9%, but it's starting to make a small little push. Now that doesn't guarantee for us to put it on our watch list, but I'll give it a quick shout here, check it out here to begin. Now I do wanna jump back to the PXLW though. That was the stock that we were talking about also in the morning session today and actually right now starting to pop up a little bit there. LQR, this chart here, not really doing it for me as much, dragging back down a little bit right now. Cheap, order book's not horrible. We've seen worse, but we've seen a lot better. So I'm gonna pass on this trade at least here. We'll come back to Benzinga Pro in just a moment. All right, so PXLW, this is probably a very low float stock. I could also check from Benzinga actually right from there, but let me just go right to my scanner here on my platform for this one. So PXLW, ooh, I'm actually pretty surprised. I was expecting to see like one million share float or like two million share float, something tiny. But this is actually pretty decent, 51 to 52 million share float. It's a lot larger of a gas tank than I thought it had today. Now let's not get too carried away just yet, all right? So this stock right now is trading about 66 to 67 million. Comparing that to its float, all right, that's not even that terrible, but this is where we're a little cautious. This stock outside of its float trades tiny volume every day, 100,000 or 200,000 shares a day. So comparing that to the 66 to 67 mil that we got going on here, well, let's just put it this way. If this isn't gonna make a big move off of my level here at 221, which was a pretty strong chart level from pre-market early on this morning, it was teasing this breakout all throughout the damn day. Actually here was like as good of an opportunity as I thought that we would have that as any just with the multiple false breakouts we've had coming into this move now. So I like this here, PXLW, as long as it could pop sooner than later and certainly stay above 221 at the least. But for now, I'll just kind of keep this on our watch list for now. I don't know if it does make that move if it tanks during this meeting as I'm talking then we'll scrap it. Then we'll kind of take it away from our watch list there but there's still hope for this to try and make one more pop just sooner or better than later.  So if you wanna see it run like we had in pre-market and from the open here, you gotta see this really soon. All right, so we got one stock at least to work with for right now. Now what we'll just do just because I know Fausto is prepping up for the advanced class coming up here at 305. We'll just go right from top to bottom see what we could add here. Next see, this is a loser now. I mean, this is very obvious but top of the gainers list typically makes top of the losers list over time throughout the given week. You know, look at CRBP from Friday last week into yesterday. Just take a look at RevB as well. I mean, doesn't even look at as much from the daily chart but the stock back from yesterday morning it gapped up pretty nicely, popped up, I guess. We didn't really focus on this really just because of how blank and empty the order book was. It's just to say, you know, that next see trade is zero surprise that this is tanking now. RVSN is zero surprise that this is, you know, tanking at this point. Obviously we could have said that even from Wednesday or Thursday last week. This actually had a pretty good run from day to day last week but even furthermore now the top of the roller coaster kicked in when it was at 22, 23 and then now it's at 14. All right, so we will keep you updated at least on PXLW there on bottom right there. You could see the price of it for the meantime. It's over that 221. I'll definitely come back to it there soon. If I see it's at like 230 is 240 pop in there but we're not out of the weeds just yet on that PXLW GMBL had a wacky move here pop and drop just before. So, hey, this is one for the news feed. We'll just check out Benzinga Pro here, GMBL. We're not gonna add this to our list. I'm just curious. I had missed out on this pop actually. We were conducting our workshop just before. And so unless Benzinga is sleeping behind the wheel which I highly doubt that they are because they're super reliable real time and you know, just I assume that this is really just a natural short squeeze. There isn't really any sort of actual news that have led to this pump up that we had from the late morning. But that's why, hey, hey, perhaps it ended up pulling back with that in mind. Really quick, got shot here, popped up pretty nicely before. Moving up a little bit now. Maybe I could just put this on our side list there, SHOT. GM coming off of earnings. Looks like that was more of an afternoon bounce but compared to what we had earlier from pre-market and from the after hours yesterday, maybe it could be a better move even tomorrow morning or maybe coming off the Fed meeting tomorrow. You know, nice trend, it's tradable. If anyone's in it right now from a lower price, I always say I'm rooting you on but let's just see what else we got here first. A XTS, Namo Chapman on that. P10, kind of near the highs actually. This is like holding pretty strong in fact, just a little slow for my blood. You know what I mean? Just even this, it might be a little too slow for our liking here heading into the close, not giving you that 20, 30 cent push, maybe only five cents. That's not what we're trying to strive for here with the afternoon. I'll tell you right now, that's not, we're fast enough striving for a class. That's for damn sure. He wants to have some fireworks so let's see what we could add here from the loser's side here, RTC. I'm not gonna pronounce the name of the company because I cannot, not gonna catch me sleeping behind the wheel on that one. So RTC down 78%, it's not moving up. That's the issue. So once it starts to, then maybe we'll look for a squeeze but for now we'll pass. WNW, same deal there. Man, a lot of stocks down like 30, 40% today. SIDU down 43% nearly. Just obviously here flat. So I'm not gonna add it to our list but maybe tomorrow if you see it up on the 3, 4% pre-market or more and there could be an opportunity there perhaps. A lot of cheap stocks, a lot of stocks that aren't really trading a lot of volume. It's easy to weed through the loser's list a lot better than the gainer's list because you want to give fair opportunity to any stocks that are on the way up. MRSN, what else we got here? GHTX, JL, JL. Anybody get it? Get it? Now obviously not a good trade there. So we'll see what else we can add to our watch list at this point folks. If there's anything else looking good up down, left, right, more than 5%, now's your chance, now's your time, just type it here in the chat board. JL is in my initials obviously, Josh, live at 10. But with that said, for all of a sudden social media, Facebook, live, LinkedIn, Twitter, YouTube, et cetera. Hey, always be a friend, tell a friend, spread the good word of cyber trading university, just click the follow or subscribe button right on YouTube, namely at Cyber Trading U, live stream every weekday, Monday, Friday, morning and afternoon, do a live workshop every Tuesday morning, which we did just before. Just checking the trading room here pretty quick. Everyone waiting for Jerome, see what color tie he's wearing and if he looks happy. I'll tell you, a lot of people are actually looking for both of that. In fact, that's a bit of an online kind of joke, right? So we'll see what tie he's wearing. We'll see what Moody's in, right? Little Reddit joke, online joke, right? All right, so PXLW, what is this? The only thing that we have on our watch list here now? This is the only stock I actually put on the watch list. We gotta do more than one. Fowstow will fire me if there's just one stock in the watch list, guys. Come on, I'm teasing. But seriously, it's like the market that we're in. It's a dead market. Unfortunately, that's the case pre-fed meeting, pre-FOMC, not just gonna throw a dart on the wall and hope it lands. Chuck looking at DraftK, and it's okay, that's one that we've been a fan of for really like the last month is potential swing trade, sports betting season, hitting its prime with football playoffs, going into college basketball club, season March Madness, that is. Hey, if you're not a fan of those sports, let me just be the first to tell you, you were seeing massive action on DraftKings and FanDuel, all those like online sports betting apps and stuff. DraftKings is a good swing, like we said. Still pushing up, breaking above the highs, back from November, December last year, and a really good trade for tomorrow, for like the Fed meeting, I think. It's just very choppy here, it was a day trade. Good swing trade, like the shot from Chuck, and good reminder on this trade, but you gotta find something better, right? And it's gonna be tough, it's gonna be tough. I'll take any suggestions, folks, if there's anything looking good. Tesla for a bounce, you know, it's barely up or down anything. It looks like it's making lower highs, so it better make that bounce soon, I'd say, but you know, Tesla's so volatile, it's just a sideless stock, right? It's one that if you do well on day to day, then definitely put it on your personal list, but here we go, here we go, here's a little something. Save up 7%, moving up back up right now, actually. This was a stock from pre-market early on this morning, it popped, it dropped, and then died off, but maybe saving our afternoon, how about that? So that's two, we got two stocks on our list now.  SYM is just under the VWAP, says David, one of our new members joining us here. The order book is too thin for $44 stock, it's not up or down anything there, so I appreciate the shop, but there's a lot that looks like this, that's the issue. Bill says it's a class day. That's definitely as much, right, Bill? We got class coming up at 3.05 Eastern this time, this afternoon, Rich, I appreciate the link that you just posted there for Bill and Ravina, all of our students, PayPal from Ravina, popping up a little bit there, right? I mean, I appreciate more of the recent run more than anything, obviously not up or down a lot, but let's just check to see if there's news out on this that could possibly lead to a better run over time.  Because the company is letting go of a lot of expenses, so you tend to see actually a bit of a move up, a little bit of a day trade with that, but you know what, I'll slip it on our list for now, not really expecting too big of a run from this point, maybe it hits 65, but interesting, interesting at least. All right, so, hey, that's three, and we had to scratch and claw to get to this three, so you know the deal, folks, start and stick with what we got. I'll be back on the mic at three o'clock, and hey, at that time, at three o'clock, if there is a move that's out there otherwise, I'll call it out, I'll see if there's anything, you know, looking good at that point, but we just kind of ran through the whole market, right? So save PXLW, those are your top two really to begin with, and then we'll go from there. All right, so hey, on social media, Facebook, Live LinkedIn, YouTube, the works at CybertradingU, tell a friend to tell a friend, as we say, spread the good word of Cybertrading University, teaching you how to follow the smart money and the big block orders out there, but if you're interested in joining our live trading room though, just click that, or might I say actually scan that QR code on the top left of the stream, get you access to our live trading room for a week long trial, and then otherwise for all of our students there, just click the link to join Fausto in class, and then for those of you not joining class, not class eligible, that's fun. I'll be back on the mic coming up here at the top of the hour folks, talk to you all soon.


Hello friends welcome to the session I am Malka, let us discuss the question that is differentiate with respect to x, the function in exercise is 1 to 11. Our given function is log x to the power log x where x is always more than 1. So let us start with the solution let y equal to log x to the power log x. Now taking log of both sides we get log y equal to log x log of log x will differentiate both the sides with respect to x. We get 1 upon y into dy by dx equal to 1 upon x into log of log x plus log x into 1 upon log x into 1 upon x this implies dy by dx equal to y into log of log x upon x plus log x upon x log x where log x will cancel out with log x we get this implies dy by dx equal to y into log of log x upon x plus 1 upon x this implies dy by dx equal to now we will substitute the value of y which is log x to the power log x into I am taking x and we get log of log x plus 1 upon x this implies dy by dx equal to log x to the power log x into log of log x plus 1 upon x which is the required solution where x is always greater than 1. So hope you understood it and enjoyed the session goodbye and take care.


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I just want to welcome everybody to this webinar that the Center for Open Science is running today. It's part of a series of webinars where we're trying to highlight some really amazing use cases of our software infrastructure platform, the OSF, but also highlight more broadly some kind of best in show engagements with open scholarship at different institutions and organizations. And today, we're going to be engaging with an amazing team at Virginia Commonwealth University, led in conversation by Gretchen Gigan, who is our product owner at the Center for Open Science, engaging with OSF institutions, which is a suite of features on the OSF for different types of administrators that everybody will be getting much deeper into today in conversation. But I just want to flag, as you guys are coming in today, that we will be following up if you attended or registered for this webinar with a recording of the webinar, with contact information if you'd like to get in touch with us or our panelists if they're open to that. And we just want to encourage you to ask as many questions as possible. So we made the format of this webinar a little bit more open. When we do engage in the Q&A section at in the last 15 minutes or so, feel free to take yourself off of our on video to speak. Or if you feel comfortable, you can drop your questions in the Q&A section. And our panelists and Gretchen will make sure to answer all of your questions. Feel free to drop those in throughout the conversation as well. And they might be able to get to them within the conversation. So with that, I'm going to pass over the mic to Gretchen Gigan, who is our intrepid product owner for OSF institutions and a librarian, and is going to be leading this conversation. Great. Thank you, Nadia. So hi, everybody. As said, I'm Gretchen. I will take a minute to have each of our panelists introduce themselves. So I'll start with the person who's immediately to my right, which is Dana. Hello, hello. My name is Dana Lopato. I'm an assistant professor in the Department of Human and Molecular Genetics. And I'm really excited to be here today. Is there anything else you want me to add? No, I think that's fine. Let's just keep it simple and get into some good conversation. So going clockwise, then the next on my screen is Tim. Hi, good afternoon. My name is Tim York. I'm a professor at Virginia Commonwealth University in the Department of Human Molecular Genetics. And I'm also the director of the VCU Data Science Lab. And thank you for the invitation from the Center for Open Science. Great. And then last, but certainly not least, is Nina. Hi, I'm Nina Exner. I'm an associate professor in the Research Data Librarian for Virginia Commonwealth University. Great. Thank you all so much for being here today. So we're going to, I have some questions. I want to talk to you guys about the work that you're doing at VCU. And then we actually met a little bit ahead of time and came up with some things that we would love to get some conversation going in amongst the whole group. So we may flip the format and ask some questions of our attendees. But as Nadia mentioned at the top, you can also ask us questions. I'm monitoring the chat and the Q&A. And we would just love this to be a very informal and lively session. But the reason that we wanted to talk with VCU in particular, VCU has been a member of our institution's program for a while. And we can talk a little bit later about what that really means. But I see we do have a number of other institution's members on the chat. So hello, all of you. But we wanted to talk a lot about VCU's particular kind of work that they're doing in their data science lab and the relationship of that lab with the campus and the library in particular. Because we know a lot of our institution members come from libraries. And I may be a little bit biased as a librarian myself. But so I'd like to kick it off to just talk about the data science lab. What are the goals of the lab? What's the mission? How did you go about creating it? And how was that process? So I think maybe Tim or Dana want to kick us off in that question. I'll grab that one. Save the best for later. So the VCU data science lab started in 2016 officially. And the way it started was, as most great things do, with an idea over coffee with one of my former graduate students, Dr. Aaron Boland. And we would meet once a week just to talk about things data science. This was a little while ago. So we probably started in 2014. And we've been noticing things that Johns Hopkins was doing. And you see Berkeley in the space of data science. And we wanted to do the same here at VCU.  What about starting a data science lab? Really so we could have our own sandbox to do data sciencey things and to teach our students more about data science. Met with our chair and he said, oh, no, you need to talk to the Dean of the School of Medicine. We're human genetics in the School of Medicine. We said, oh, OK, this is getting a little bigger than we thought. But we went ahead and did that. We met with the Dean of the School of Medicine. And he said, no, wait, you need to talk to the vice president for research at the university. And that's in the office for the vice president of research and innovation. And we were immediately feeling like we got in way over our head. Next thing we know, we're at a meeting with all the higher ups of research at VCU. We got three slides into our sort of pitch talk about the VCU data science lab. And the vice president told us to stop what you're doing. You've already sold us. We're going to do this at VCU. And so that's basically long story short, how we began. And so the VCU data science lab is funded at our office, the vice president for research and innovation. We have a modest budget to mostly have a and we mostly have a teaching mission. And we can talk more about that. So I'll stop there and in taking a sort of follow up direction. Just to follow up on that. It sounds like that was a nice case of units across the campus working together. But I assume you had to think about and make a case for why this was a good opportunity for the university. Can you talk a little bit about kind of how you pitched it? Yeah, so it's definitely from the ground up, sort of two faculty members thinking, hey, this might be a good idea, rather come in from the top down. And so we pitched it as we need to formalize the data science training at at VCU, especially for graduate students in the biomedical sciences. The VCU data science lab serves all departments across the university now. And so our main mission was education. And we started to data science courses to really teach students how to to handle data and do it in such a way that was open and where their results could be had a greater probability of being of being reproducible. And so remember, this was about 2014, 2015. And then in 2016, I think that a really sort of influential paper came out in nature from Baker at all. Asking the question, is there a reproducibility crisis? And that, I think, sealed the deal at VCU. I think that paper said about 90 percent of the 1,500 respondents said mostly researchers, scientists that, yeah, there probably is a reproducible reproducibility crisis going on. And yeah, we probably need to do something about it. And so I think that really helped us in terms of timing, getting our administration, our leadership interested in funding something that could could help. The research community at VCU tackle this this type of problem. Right. So you mentioned that you teach two data science courses. What are the other kinds of programs and work of the lab? So we also we also do workshops. So we try to it doesn't always happen this way. Try to have one or two workshops per per year. And I think the majority of workshops revolve around introducing the research community and anybody interested at the university to the the open science framework, because it's a really sort of nice, general, easy to understand introduction to how to put open science methods in place. Into into practice. And so I'm happy to open it up to Nina or Dana if they want to talk about any of the workshops or classes more specifically. But but I will say we we partner with VCU libraries and our research data librarian, Nina, and it's been a very successful relationship. The VCU data science lab is relatively small. It's me and usually one other faculty member. Plus we try to recruit students to help out. And so being able to team up with our libraries and kind of utilize a lot of their resources, especially in terms of their ability to to organize and advertise and put on these workshops has really been a successful sort of partnering for us to kind of get the word out about what we're trying to do. Yeah, one of my next questions was actually about the relationship between the library and the lab. So maybe, Nina, you can talk to us a little bit about how you view the kind of cooperation and the relationship and the benefits and maybe the challenges of, you know, this kind of model of of working at the campus community. Sure, I'd love to. But let me actually close a little bit on the previous question, too, because we we sort of do some stuff that we all happen to be in sort of as the data science lab, sort of as just a team of people who are interested in data science and the open data space. So for example, we have a get a couple of guests slash co lecturing roles in responsible conduct of research classes. And we have a more robust one in our transparency and reproducibility course that our trainee are NIH T programs that are institutional trainee programs do for increased knowledge about reproducibility. Those are things where other sponsors that are running programs have said, hey, data science lab people, you guys do this reproducibility, transparency, rigorous data science, evolving analysis, sort of approach to things. Could you come and give us a talk on your on your part of things? So we do also guests in a fair number of guest lectures and workshops and a fair number of other teaching in addition to the data science labs signature course series. So on the library side, there's a lot of different kinds of perspectives on what the OSF is useful for. And for me, the data science lab is really the practitioner perspective or the faculty, the researcher perspective, how do graduate students or new faculty, mostly it could be more established faculty, but I think mostly we get graduate students postdocs and new faculty members and new labs coming in. How do they learn how to use a tool that can help them with their data sharing with their pre-sharing data management, but in a way that can be shared later if they want to with their collaboration management with all the different sort of solutions that the OSF can work on, but very much focused on the researchers side of why and how to use OSF, which, of course, is really the starting place for everything. And the rest of us are our benefits for why we want to do things like a robust preservation plan, like only only librarians really care and in other preservationists really care about the robustness of the preservation plan. A faculty member just wants to be able to say, is it good enough for someone who cares about that stuff? You said it's good. OK, good for me then. The digital preservation process is very interesting to librarians and not a whole lot of interest to everyone else. They just want to know it's good. So I personally identify with that statement. Go ahead. So one of the things that's good about our collaboration is that we can sort of bring our various strengths but really focus on the researcher learning process. It sounds like you have a nice also kind of maybe one of the things that makes it successful is kind of understanding what your particular niches are and your strengths are and being kind of, you know, on the same page about that as opposed to kind of confusion over over roles. And I'd imagine that comes about through, you know, communication and and working together on on a lot of these things. You mentioned kind of OSF and it fitting into the picture. And I would love to talk a little bit about that. So maybe Dana would like to weigh in a little bit on how does how does OSF fit in particular? What do you think is it's kind of particular niche or particular strength as a tool? And, you know, we recognize that OSF is one tool. And we kind of I think one of the strengths of it is that it can be one tool as part of a larger workflow. So kind of what are your thoughts on how how you use OSF and how you incorporate it into the work of the lab? Yeah, sure. So there there's sort of the the two areas where I would talk about OSF fitting in and both of them are in the education space. So specifically with our data science class, we want to have the graduate trainees use something that they could then also use outside of class directly for their research. So making sure that the training that we're doing in class, you know, deducted coursework is investing and directly applicable to what they'll go on and do. And the the fact is that we have students in our data science class from all over VCU from the School of Medicine, the School of Pharmacy, School of Nursing, the Graduate School and to try and pick one tool that they could all use that is amenable to all of their resources and research areas. I don't think we could do much better than OSF. We looked around, we tried to to shop and find something that everyone would be happy with. And OSF by and by and large was the the winner by a mile. You know, you'll have folks say, well, I do I do computational work. How about we use GitHub? And you say, well, GitHub is great for what it does. But OSF can play nicely with GitHub and folks who are not familiar with that specific tool can still interact and collaborate through the OSF so that that third party add on ability is wonderful. Just for saying this is going to be agnostic to departments, agnostic to approaches. Let's let's be inclusive. Welcome, everyone. We can all work together here. It's it's a nice area there. And then backing up to the RCR training that Nina and I do. Again, we have lots and lots of different programs represented. And they are interested in pre-registration. They are interested in preprints. They are interested in how can I make my research material both shareable when I'm ready to share. And OSF is just a natural conduit for those kinds of conversations and talking about collaborations and finding other people who are using similar tools. It's just so useful in that regard. It's just been a natural. I want to say compromise point, but it's people don't have to give anything up. That's what's nice. If you're using GitHub, you can still use OSF if you're using so many other programs. But but GitHub has been the main sticking point. And that's why that one's what comes to mind first for me is like, I don't want to give up my version control. You don't have to. It's all all good. We can we can all work here. That's great to hear. And I will say over the coming year, be on the lookout for more and more kinds of OSF integrations. It's big. A big goal for us right now. Nana, did you want to add anything about the R stuff that you just put in the chat? Yeah, I realized that I jumped straight to OSF. For some reason, OSF is on my mind right this second. But a lot of the data science lab projects are really around our and our studio use as well. So we do a lot of workshops on getting people started in the OSF. But a lot of what we do is sort of fundamentally around, I should say mostly what they do. I don't really do a lot of the coding part, but is mostly around how to do how to make the shift to computational instead of point and click graphical user interface approaches to the. And sort of moving transitioning away from Excel, although outside of my data, data science lab work, I do a lot of Excel based stuff inside my data science lab work, though helping people to transition away from Excel, which is sort of much more error prone. And also to use things like version control. And I think I saw at least one person who works in RCR in the introductions, which are above my camera.  Things like having a change log also so that you can see what all has been done with this data in the past. Those kinds of benefits are sort of a mix because you can push the R computation to OSF so that it can keep track of your versions and you can jump backwards if you had an error at some point, things like that. Great. So I want to maybe switch a little bit and we can talk about some kind of larger goals and larger challenges So, you know, what are the challenges you encounter in your mission or goal of increasing reproducibility? I assume that's one of the big kind of north star, right? So how do you approach that and what are the challenges that you see there? Sorry, got distracted by the chat. So the question, what are our challenges for kind of introducing these reproducibility sort of modern computational tools and methods to the research community? I think that's a great question. And our angle has always been to get them while they're young is in a bottom up sort of approach. And so that's why we keep talking about these courses. And so we have two, three credit sequence courses and data science open to anybody in the university directed at primarily graduate students. And so our philosophy is to teach the students, the students going to the lab. They demonstrate to their PIs that, oh, hey, look at this really cool stuff we can do that's going to protect our data, you know, and hopefully, you know, aid and making our results more reproducible and more members on our team can access, say the scripts, the code, the data, the results, et cetera. And then the PIs say, hey, this is, this is fantastic. They send more students our way. And so in terms of challenges that I think that's that sort of, I'll call it a positive feedback loop there has taken a little bit of time to get going. But I think we're hitting our stride now. And so the word is out about what we can do as a data science lab. We're small right now. We're really two members and a handful of students. And so I'd say the first, the first challenge is getting the word out and that was kind of primarily maybe due to our strategy, but I'm still going to I'm still going to defend that strategy of teaching students versus trying to convince, you know, PIs that they need to change their workflow because we know better. And so I think the other. Yeah. No, please go ahead. Sure. I think the other challenge is that more and more different pockets around our university are data science are popping up. And one of the challenges tracking all the different people interested in data science and who have data science skills because we're we're likely not using utilizing all the talent that exists at at the university. And so, for instance, in our computer science department on our academic campus, which is separated from a medical campus by by about a mile, they've started a data science certificate master's program. And then in bio stats, they started a genomic data science program. And so one of our challenges is to keep track of of all the innovations in data science that are that are happening at our university. Dana, Nana and other challenges from your perspective. I would say two sort of challenges. One, we if we had more people, we could have more sections of the class, you know, the class routinely goes to wait list. And there's only, you know, so many seats in the classroom and we just don't have the personnel. So I think we could, you know, if we were able to do more sections, that would be great. And then just when I think about one of the difficulties on the medical campus with encouraging reproducibility is you can find a lot of people who are eager and they say, well, how do I do this with clinical data? How do I do this with certain, you know, protection levels? And so making sure we talk to people about, well, there are options, you know, and walking them through that. So making sure that we are cognizant of everyone's needs and data security issues. Great. Excuse me. Sorry, remembering which way I'm going here. So these are all great. I think one of the other, you know, big things I've had discussed and maybe this can be the beginning of, although I do have one other thing I want to talk about, but we'd love to get some audience participation. So, you know, we've talked about these challenges and the strategies that you're using to kind of address them and what your goal is and what you're trying to achieve. But a big question is how do we determine if we've been successful? You know, what kind of measures of success do we think are valuable? You know, what are you looking for? And we'd love to hear, you know, through the chat ideas from the audience about things that they find to be real key indicators of success for your overall Open Science efforts. Yeah, I mean, along those lines while people are kind of putting their ideas in the chat, I think, you know, for us starting small, having, you know, students fill the seats in our courses and having a wait list gives us some indication of success that, you know, what we're teaching is useful. That sort of positive feedback loop where we hear stories about PIs and, you know, program directors saying, oh, you need to take, you know, data science courses. They, you know, teach you kind of how to utilize R and to automate things and to avoid sort of manual mistakes like Nana was talking about. How to, you know, use the, you know, utilize the OSF to your advantage like Dana was talking about. And so for us, those are indicators of success. The Center for Open Science also gives us a report from our, you know, some metrics from the dashboard which are kind of even sort of like developing and sort of gives us a sense of how many individuals at our university are utilizing the OSF. And we always see sort of a bump after we do a workshop or students in our class that I'll have an assignment where they have to create an OSF page. And so to us, those are very simple metrics of success. But I would love to hear everybody's ideas about maybe what they track or other kind of ideas for gauging whether or not we're getting the message out to our research community. And it's a little hard to benchmark. I think I'd also like to see how other people, it doesn't have to be OSF particularly how other campuses are thinking about tracking or benchmarking or assessing and evaluating their uptake on open science on reproducibility or transparency practices. We've in addition to things like how many registered users do we have especially maybe proportionate to the size of the campus and how many people register for the class. Although the class is kind of a the class series always maxes out and so that's if it's always a goal that's not going to represent growth necessarily. It's really a ceiling on capacity. I think how many people then change their practices afterwards which can be a small number in a way but then I think thinking about how many people you train on a thing and then they actually go and implement that and have a major change in behavior afterwards. You would expect one in a hundred people maybe to totally change their approach to how they're handling their analytical pipeline from being ad hoc and closed to being computational, reproducible and open like I would normally expect that to be a very small number so that is an important story maybe to know how many people have made a major change to what they're doing. And I think we get that information anecdotally. We hear the grapevine or we get an email or you know like I said before they send their students to our classes and our workshops or they attend themselves. That's how we get that information. I've been hesitant to send out a Google survey to the university explicitly asking people their behaviors but I suppose that's an option an option too. I was flabbergasted the first time someone said I need methods help with my thesis. Can you help on my thesis committee? Oh and also I need to pre-register. I was like you want to pre-register your thesis? Really? It was just it wasn't someone I had worked with in data science specifically. They weren't in data science specifically. They were actually doing social mixed methods and they still wanted to pre-register and I was like wow that's really cool. Let's see how we can get through this. That's really interesting. It kind of ties together a couple things I wanted to also talk about and also with a question that we have in the chat which is about so follow me on this. My brain is pulling all these things together in real time. You talked a little bit about the institutional membership in talking about the metrics that you get in terms of who's using OSF. There's a question in the chat also about the role you might play in facilitating institutional engagement as opposed to encouraging individuals. Is that something that you think about? Is that something that you plan for? By that I mean kind of an institutional message related to OSF usage and or the benefits of being involved as an institutional member which provides you things kind of on top of what you get with OSF for free which is the metrics and the community events we're trying to build and the SSO sign in and those sorts of things. Is there any thought about the larger impact of that membership and whether or not there's a plan for building that or thoughts on how you could get more out of that institutional benefit? Yeah, so one idea and I'm not sure this kind of really answers the question but it's one idea and it's not really contingent I think on an institutional membership but I think the institutional membership gives this process legitimacy in some respect. When you actually sign in through your using your VC credentials for instance your university credentials is that instead of targeting just the individuals through the class from a ground up approach is using kind of the I mean it's important to utilize these practices these open-side practices and so we've thought about things such as for institutional grants, pilot grant money that researchers who are awarded grants for instance would be required to put their the products of the research onto an OSF page whether private or public that could differ by the different components within the OSF but for instance those products of the research that the institute funded can be available to other researchers more rapidly because pilot studies don't always get published but that's a way to utilize the OSF at the institutional level to make sure that what they're funding is made stored somewhere else not just on a PI's laptop but available to the rest of the community at research community at VCU so that's one idea Our campus does have a data cataloging initiative which is run completely separately other than that it's housed in Comtec I think no it's not even totally separate primarily has a different goal than overall visibility of datasets but we have institutionally again beyond the DSL but I think in collaboration with several of us have been in a lot of the same meetings there's been discussion we're NIH heavy but even in the larger context of reproducibility and also some of the White House science and technology policy discussions about data that is shared that comes from research needs to be in an environment that is harvestable by uh regularly sort of used search engines it needs to have a DOI it needs to have some sort of JSON output of the metadata which probably for a lot of folks just sounded like I went into foreign language there but it needs to be compatible with the right kinds of things so that if someone is google searching for a dataset it'll happen that's for non-techy people sort of gets into more gory details than anyone really cares about but when we talk to the IT folks they're like oh it's compatible with this and it's got that kind of output and it's got this kind of benchmarking from a technological perspective and so in that sense institutional discoverability is supported and when we talk about institutional discoverability usually with our tech heads on or our policy heads on we tend to get good responses about that so I wouldn't say so much that it's been a driving part of the initiative but people do tend to say like oh we're already doing something with a thing that schema.org metadata compatible oh phew that's one less problem on our plate so it fills a need but I don't know that we've got a current cohesive initiative around that um that might not be an entirely satisfying answer Nicholas I'm so sorry yeah if there's a follow up from that Nicholas please do put that in the question question section or the chat would anybody else like to weigh in on any other thing before we switch over to maybe some more open discussion questions any other follow ups to questions we've asked or something we haven't haven't mentioned I've done an excellent job interviewing I guess which is not true it never happens okay so when we met a little bit ahead of time we did talk about some questions that we would love to get some input from the attendees so we already talked about one about success another one we talked about is whether people are specifically supporting reproducibility or just repository services Nina I don't know if you want to follow up or add some more detail to that since it was your question reproducibility and transparency means so many different things to so many different people and it's such a sort of complex continuum and I see a lot of people in the participants list that I respect a lot for their contributions and hard work and transparent data sharing so I'd be interested to hear just what kind of advice or strategies or starting point people have thought about we can throw some of ours in there too but I'd love to hear from the audience why don't you answer your own question so there's a few different things I think we do and a lot of them are different approaches to the flexibility of how to use the OSF or other tools especially our studio also but things like how do you transition to it as a lab notebook a sort of collaborative note taking environment for one or more people that's one use case that we tend to chat about with users and sort of present a few examples of well this lab has done things this way small L lab and the and that gives some people one way to sort of envision alright I've got this wiki which I could take notes in or I could do other stuff in I've got this file dropping area I've got these plugins or or add-ons and OSF parlance but what do I do with those different parts I've got this changelog and I don't even know why that's there from a lot of users perspectives and so one of the ways that we work with that is sort of talking about if you wanted to use it as an electronic lab notebook environment here's how you would do that if you just have your basic science person and you're looking for somewhere that you can share a couple of spreadsheets a couple of Excel files to link to your latest journal article here's here's our use case for how you do that so sometimes that's an OSF-centric way that we do things at the opposite end of the spectrum in a non-technological approach we've had reproducibility discussion journal club events that's tea with as in the tea that you drink we so we've done journal club open discussions that are just like here's what's happening so those are a few types of initiatives highly recommend reproducibility is a great starting place for people who are just like want to do a small size reproducibility and transparency something but I'd love to hear other people's thoughts on what they're doing on campuses. We are still open to adding your thoughts on the in the chat about how you're addressing reproducibility in addition to kind of repository services and requirements we do have a question in the chat though which is related which is about advertising the OSF platform especially OSF projects and specifically Moriana is asking about advertising this to humanists and humanities department and I know that may not be where some of your wheel house is but at some point humanities will have to share data if it's federally funded that's part of the new White House mandate so do you have any yourselves or in the chat examples from other institutions about that particular audience and how you might reach out to them so this question has exposed our soft underbelly we struggle so we're based on the medical campus and so we don't have a strong presence on what we call our academic campus which is geographically away from us and so that's where we need to move to so any ideas we would love to hear them from anybody else how these technologies can be introduced to humanities departments we have a big art department here at VCU and I'd love to figure out how to use some of these techniques and tools how people in those departments might be able to use those tools we did do a blog on the Center for Open Science about replication in the humanities and case studies I'll just put that in the chat looks like we have a hand raised yeah thank you I didn't notice that Moriana yeah that's Moriana asked the question so please follow up I'm the one with the question yes I'm following up because we have other products for example for scientists like lab archives where they can you know create their lab environment but I have a science background too so what I struggle to think about how can I reach to the humanist I'm a scholarly communication librarian and what I think is the OSF projects can provide a platform where humanists can collect all the materials that they use for their research yes humanists do research it's just different it's full of images and articles and books and I don't know documents but it could provide them to a place to start collecting everything and sharing and collaborating with others that's where I'm focusing on the project so I just wanted to yes I think where is I'm going and the digital people working in digital humanities projects might be I think the prime targets for this but yeah and it would be a good if you do work at a university with the digital Humanities Center or some folks working in it I mean that's a great first place to try and do some collaborative effort with because it's data mining right in a lot of cases and it's a very data focus discipline in some some parts of it I actually started out in digital humanities so it has many many different kinds of ways it can be done but thank you I think it would be a lovely place to put maybe not the interface for a portfolio although it's feasible that way but it wouldn't have a sort of look and feel but you could do the all of the objects that you were going to put in a portfolio and that would seriously decrease the amount of storage that you might need in whatever design platform you use for the interface part of the portfolio also project tier with this more social sciences than humanities but for sort of the social humanities and some of the overlap areas project tier has an OSF starter arrangement that a person can clone if they want to use that I will look that up and stick it in the chat we have an example of a I'm sorry Dana please you go ahead talked enough I was just going to say we've also had good conversations through the libraries open educational resources group because that brings people together across the academic and medical campuses and so we've been chatting about well could OSF help with some of these courses and also projects in the courses to get folks used to using the OSF to organize their independent research projects yeah we've also heard from a lot of folks about OER over the last couple of years obviously a very hot topic in a lot of higher ed I was going to say I can think of one example in OSF because you can redirect the URL where you can put your materials in OSF and redirect to a different homepage that may display or contextualize better than the OSF does and I think that one of the things that for institutional members will be available more broadly but we're going to be very soon starting a group to try and gather a lot of these support resources, examples, templates things to help folks who are trying to figure out all of these flexible ways of using the OSF a better starting place for understanding the possibilities is anybody else have any other things they'd like to add we do have something on metrics in the chat but any other thoughts about humanities or just promotion engaging in outreach I would just say that coming up our partnership in terms of outreach, our partnership with VCU Libraries particularly I think you might be organizing this event is the I Love Data Week over the middle of February a whole slew of events I think that's actually on the academic campus part of our Love Data Week is going to include an OSF workshop include an OSF workshop glad to hear it we'll follow up about that over multiple days great it looks like we have another hand up from Leanne if you want to go ahead and ask your question yes hello everyone it's been very great to listen to this discussion I think on both sides of how to expand this but also in terms of looking at metrics one thing that may be helpful is actually having these conversations with the departments in terms of what does it look like for you all mentioned that reproducibility and transparency looks very different for these departments but it's certainly something that I know as a qualitative researcher has been on a radar of how do you improve this and although it may look very different from of course the data science groups with how these tools can be helpful for them and how does it fit into their workflow and view of research and what this means for open science within these disciplines can be really helpful in expansion mm-hmm yeah that's a really great point we obviously are looking at OSF and reproducibility from like a mile high so understanding the details is important and it all comes down to personal relationships in some sense of relationships across campus and with departments in the chat also related to metrics Nicholas noted that encouraging higher institutional buy-in into things like Helios for the higher education leadership initiative for open scholarship can be a great way of thinking about things and seeing who's there in the open he listed a link to the members and showing an administrator that their peer institution is involved in something that they're not involved in is always usually pretty persuasive while we wait for another question was there another question that the panelists were interested in asking um I'm looking at what we had the other day um any other questions about measuring success or promotion and outreach yeah Nina mentions in the chat the scan all fish project which is our favorite example project here at the center for open science there's also a project that has hundreds of images of crocodiles I think but they're really fascinating um projects I think in terms of um specifically the institutional membership features being able to get some more metrics on our user base is would be helpful for us in terms of knowing where across the university OSF for instance is being utilized and maybe what departments what schools that we need to target um I maybe a year or two ago started exploring kind of being able to get some of that metadata from the registered um users and that's something that I need to revisit can also be I don't know um I do see now and on the public profile or the profile information on on OSF for each user there are there are fields to enter your your department or institute in your job title event and so maybe being able to access that information um I think for people in my position you know knowing where to target resources on um getting the word out about for instance OSF would be would be useful right like you you've mentioned anecdotes about you know someone approaches you who's using it and you weren't aware right so knowing where that activity is happening and that is something that we can support it requires a little bit of additional um coordination to be able to get that information out of your directory service um but if we can it's possible to do that and um we can follow up with you and for anyone else who's a member out there um that is something that we can we can work into it um we're also going to be starting a project um hopefully in the next two weeks um to begin talking about how to improve our metrics dashboard and our metrics report um to see what other metrics would be really useful um and what other um uh you know what else we can we can get what else we um can you know tweak things to try and find what what would be helpful um in terms of those metrics that is um particularly to the library audience um I sometimes like to pitch it as you know the people on the campus are going to do what they want and so they're already using OSF so you might as well know what they're doing and be able to get a sense of where that activity is happening not that using OSF is a bad thing um it is a good thing so it can be a virtuous circle right like you find out who's already using it and then you know where to target your efforts to get even more um folks to use it um so those those factors are are key um in success um and yeah we have a link to Crockbase in the in the chat and I I recommend to anybody who's got um some time to kill to go and check out both of those projects scan all fish and Crockbase they're they're pretty fun um we're getting close to the end of the hour so I just want to put out a last call to anybody um if you would like to ask a question or make a comment um in the chat or raise your hand um also to our panelists if there's any last um things you would like to mention um please go ahead now um but if not we can move to thanking you um for being a part of this it was really great to talk with you all um we appreciate it and um hope that uh folks out there are interested and inspired and want to learn more about OSF and and want to um you know take back some of these um ideas to their institution to uh increase open science and reproducibility um so I'll stop talking if there's anybody uh else who would like to make any um last comments I mean I'll just in saying um thank you for the invitation and I think use cases for the OSF the skies of limit and our DSR data science lab is small and so um it's all I think only going to grow and get better when we include other sort of members from across the university to kind of share what potential use cases you know could exist um we're focused on biomedical research right now but expanding I think is sort of the next stage for for us and it's only going to get this OSF and open science outreach um kind of to be able to propagate further throughout the university yeah great well thank you everybody um just a note we will be sharing the contacts for the panelists and recording of the webinar to everyone who registered um so uh be on the lookout in your email for that um if you have any questions about OSF or OSF institutions um I am happy to uh to talk about it um and uh other than that I think I'll just wish everybody a good afternoon and thanks again to all our panelists and all our attendees um so thanks and we hope to see you at the next one


The Robotics Institute at Carnegie Mellon University was established in 1979. It was the first major research institute in academia with a broad research agenda in robotics. Manufacturing, autonomous mobile systems, hazardous environments, and basic robotic sciences. Currently the institute operates with an annual budget of $10 million, supports 35 full-time research faculty, 50 full-time programmers and engineers, and 45 graduate assistants. The Robotics Institute conducts research in basic robotic technologies including manipulation, control, sensing, and vision. Direct drive manipulator technology was first conceived at our institute. It represents today's most advanced manipulators. The world's first direct drive arm prototype was developed in 1981. Four years later, a second version with a full six degrees of freedom was produced. Using these prototypes, researchers at the institute have been working on real-time model-based control for fast, precise, and dexterous motions. Fundamental research problems in object recognition, acquisition, and assembly are being approached in a number of ways. Objects at arbitrary positions and orientations are to be recognized. Motions are planned to accomplish the acquisition or assembly task. And finally, the plan is executed by manipulators. Robotic vision systems, artificial intelligence planning programs, and sensor-based manipulator control combine to provide solutions to this difficult problem. Providing mobility to robots presents challenging research problems. Researchers in the institute have constructed several indoor mobile robots to develop technologies for unique locomotion. For mapping the robot environment by vision and sonar sensing, for planning paths, and for navigating toward the goal. The robotics institute has addressed a comprehensive research agenda in advanced manufacturing technology since its founding. We have developed a forging cell capable of taking a hot billet through the forging process, part inspection, and measurement. The cell provides feedback information and corrects for hammerware that occurs during the forging process. A prototype robotic system was developed to assemble complex wire harnesses with multiple plug connectors. The system achieved reliability by incorporating force sensing and error recovery techniques. Automatic visual inspection is another important area in robot applications to manufacturing. The systems for inspecting printed circuit boards in similar complex products possess the capability of artificial skilled perception. Increasing flexibility in design, production, and decision making is the key to the factory of the future. Computer-aided design systems can automatically generate programs for welding parts once they have been described in a CAD database. Decision making for operating highly automated plants will become more complex and swift as flexibility of production increases. The institute researchers have been developing intelligent management systems for planning, scheduling, and resource allocation. These systems improve the efficiency of engineering and supervisory personnel by providing expert systems to assist them in carrying out their work. An exciting new concept being developed for computer-aided productivity is rapid prototyping. That is, to design and prototype products in a very short period of time by fully integrating design and manufacturing functions. We've already demonstrated the ability to produce single board computer prototypes in 24 hours. This accomplishment paves the way for the micro factories of the future, which the robotics institute plans to demonstrate in facilities near the campus. Robots can extend human capabilities by venturing into environments that are hazardous to humans. The remote reconnaissance vehicle and the remote core sampler developed at the institute are teleoperated robots, specifically designed for use in the contaminated Three Mile Island Unit 2 containment. These robots were the only successful machines sent to the Three Mile Island plant and provided the vital information needed to plan a work agenda for the remote work vehicle. Another robot developed for nuclear accident recovery. These machines represent a class of rugged teleoperated robots that exhibit strength and adaptability for work in hostile and changing environments. We expect that these technologies will be used for toxic waste cleanup in the future. Under sponsorship of the Defense Advanced Research Project Agency, researchers at the institute are engaged in developing a new breed of autonomous mobile robots. The navigation laboratory, or NAVLAB, is a self-contained mobile robot system with onboard sensors and computers. The goal of the project is to develop a mobile robot, which negotiates roads and traverses diverse natural terrains autonomously by using sensors and artificial intelligence planners. Currently, it steers itself along narrow winding asphalt paths while avoiding obstacles. With the aid of a supercomputer, the warp, developed in Carnegie Mellon's Computer Science Department, diverse sensor information is integrated to allow real-time navigation. Current sensing includes color video images from a TV camera and depth data from a laser scanning rangefinder. Researchers have been working on further advanced capabilities to recognize landmarks, travel across open country, and revise maps while moving. Robots for space is also part of the agenda at the institute. Research on human-robot interaction for space tele-robotics will enable astronauts to service, assemble, maintain and repair satellites in orbit with greater productivity. Recently, under NASA's sponsorship, we have started the Mars rover project. The developed technologies will be used for the Mars sample return mission to be launched by the United States at the turn of this century and for future explorations of other planets. As we have shown, the robotics institute at Carnegie Mellon University conducts a large comprehensive program of robotics research. In addition, dissemination of knowledge and technologies to American society is one of our founding premises. Since its founding, the institute has kept a close relationship with industries to facilitate the transfer of research innovations. Although it will remain interdisciplinary in nature, the field of robotics now has a sufficiently large and complex body of knowledge that must be transmitted systematically to the next generation of robotics researchers. Recognizing this need, the robotics institute is establishing a new PhD program to educate tomorrow's leaders in robotics, which is vital to our national economy and human welfare.


you know any any way that we can reduce that stress and help regulate ourselves it's it's so valuable and it just boggles my mind that people are like you know just because it doesn't look like something that most people do it's something that's bad. You know I would even say that autistic individuals are masters at regulation. I think that due to many of our sensory differences up to 90% of autistic individuals have sensory processing differences due to that and our social communication differences and those needs often not being met. I think that we are actually regulating so much all the time that we then you know have created all these different methods for working through that.


How's it going everybody? Datte Doi here with another round of Dragon Ball Fighter's Rank Matches and we have a Goku Family lineage team here with Gohan on the team. Surprisingly I don't play him a lot on this channel if at all.  Super Saiyan Goku let's take him for a ride what you see their class is just it's just a broken man with a broken dream damn top 10 most depressing things in anime why did he do that I didn't see I didn't see him having anything to gain from doing that so that was like the least thing I expected holy moly okay it's not over yet let me go ahead and adjust this there you go is he gonna try to make a read no read okay good actually pretty switch out switch out what was I thinking there wow he's switching out on a nice nice continuation there he's just jumping for joy dude I pressed a button it's true it's true what they say I did press a button all right take me for a ride dude go ahead knock me down I tried down teching but it was too late so I just stood I just literally stood up and crouched I wasn't even crouch blocking can Goku make this comeback I've made some Goku comebacks in my time but this one is looking a little this one's looking a little out there even for me there we go don't worry guys I know he's super dashing a lot we're gonna bad switch up wow I tried jumping and I got caught um no my down medium didn't go through oh bet okay it's okay you gotta be you gotta be kidding me dude I have just been playing so bad for the like the past 30 seconds has been nothing but insanely bad stuff is gonna jump again damn it come on dude you can't you can't honestly expect me to believe on this bad alright I believe it please hit that might be too late but okay good alright so now that I know he respects me how about we milk this respect for what it's worth huh just like the good old days let's go look we only need one more dragon ball no he's too low to even no no it's not worth alright get that idea out of your heads guys okay I gotta be a little more cautious here cuz I'm literally one hit away from death alright I never been afraid of a mix-up how much do I respect this guy I should have respected him more I mean I got up and block just not the right way all right so one one me and my opponent here this feels like it's gonna be a long one long and grueling we almost had it this game too I think we just forfeited too many of our characters too soon okay that's not a combo but I will take that all the way to the bank there we go wow this guy is just there we go we expected that that time to so we made the adjustments we know he likes to randomly switch it's not that random but and he likes to super dash a lot so we're just gonna kind of we're just gonna kind of keep doing what we're doing here there's not really too much to it just kind of pressure and pressure and pressure and when you think the switch is coming oh you see we saw that one coming to you but it was too early all right I think we had the adjustments made now it's just up to our defense to get us through this no knockdown just gonna get a level one we're gonna go ahead and give him blackback just to give us this nice down heavy I didn't think he'd have enough time to get it off while our switching didn't even work okay can't oh wait yes he can wait maybe maybe no I can't okay I was worried he was gonna like try to switch us out or something okay we're just gonna go with this option here I have no idea why I called the Gohan in but regardless dude we just got to go with the mix up oh beautiful sparking oh we didn't have enough time I should have just kept blocking beam held us down for too long to get this down heavy out oh I'm not I just should be super dashing quicker got a super dash quicker we're getting run over sparking blast in this kind of play style does put me on edge oh I try to I try to hit him out of it level one nice nice nice nice good stuff to this guy he got me out dude okay we need to get Gohan back in just a hunch we might need him though wow he just down heavy to my face that literally only covered that one thing I did good stuff though level three again no level three now now that I'm getting run over it's not that fun anymore level three it will probably kill that I always forget how much the first part of this does he picks you up and slams you that's like a hundred health right there okay so just sit down down heavy literally don't try anything else that's all we got to do so many times I got hit by that just super he he's embedded his super dash with with the gohan tracking abilities drop it I am so upset we lost this okay that's upsetting to one to me we had the beginning and then somewhere along the way as soon as he pops parking it was just over for me all right upsetting but not entirely surprising all right let's try to get our game plan back in order here all right gohan's gonna do his thing possibly get a level one here well do you know what fine this this works out just as well so whoop okay I'm really focusing right now so I don't know oh thank goodness he tried testing me there damn it I tried catching him but that was not the best move oh man he's super dashed from that range again I I'm just struggling with like like I keep thinking he's gonna stop stop like but he just never did that that was a good read I have been doing that a lot and maybe he thinks I'm gonna stop on that but no man vanishing in the corner that's a lifestyle choice is that gonna hit all right now we got ourselves a game here damn I just tried to raw down heavy there now he's got me like psyched out now I don't know what's happening that was not an ex kick no that was just a vanish that was just a vanish this is not the greatest song in the world what the gohan hit this man and Goku Jesus hit him all right that's fine but we'll be back down into a corner here no problem up level three oh now a level three level one into level one wait what's going on here you're trying to kill me all right hopefully no we're not here it's parking blasts over wow I've never felt so alone all right this round is not ending here mark my words okay come on I can deal with the super dashing we just got up we just got a breakthrough we just got a breakthrough oh why am I trying to vanish so much dude like I'm so afraid in the corner really shouldn't be level three yeah yep now I've been read like a by been cracked open and red it's all over for me is that gonna hit oh no why did he do that oh my hope was crushed my hope was crushed all right our opponent takes it 3-1 good stuff dude I got caught by Super Dash and then I got read in the end went back to old tenancy the reason I'm not saying I'm ending this video is because if he gives me one more I'm gonna take one more this just for me though I fully admit we lost the set it was a good good try couldn't adjust fast enough or we did adjust but we just couldn't stay adjusted all right so now we're gonna down to oh we didn't have any bars so it's not like we could have done much I really should have trusted my defense more this set is what I'm oh we really should have trusted our defense more this set oh my god you got to be kidding me dude this is the most frustrating set I've ever played in my life come on man yo that was some baloney dude I don't care come on come on that one was that one was actually stupid that one was stupid but stupid to a point where I can appreciate it dude like that actually put a smile on my face he says skirt just right but come on dude okay I can't believe my eyes I can't believe my eyes why didn't that clash oh no wow I'm just I'm having a blast even though I'm like losing oh my god you know this this is pot racing I don't know what's going on anymore guys I'll fully admit I hope that punishes he blocked it I couldn't even get it down heavy out this is it he can kill Gohan right here gonna take his time to do it which is fine by me if we can get as much sparking time and as much bar out as possible ah we did we almost live that that would have been exciting he's still sparking oh good job I thought another Super Dash was coming out what's the answer to a Super Dash that cancels my oh I can't believe it okay we need to get bar lock back in oh no okay we're just gonna try to put the heat on this guy here thank God bar lock has two level ones no it's still not gonna kill because we didn't get the two hit version what Goku why did you do that where's the tech where's the tech where's the tech what the what where am I back dash on that stop Super Dash please vanish oh the pressure no no no oh I felt that one in my bones ah okay let's just try to work this out let's just try to work this out the Super Dash is the all important I saw it coming just too early oh this is so sad dude down tech oh and I just stood up I couldn't wait oh we're good we in this come on come on come on come on something ah damn it I didn't see it three bars I should have been more safe I'm ending it here how to how to make a Super Dash how many times did he Super Dash this game frustrating to say the yeast oh man all right well that's just Dragon Ball fighters for you sometimes you get sometimes you get got well hopefully you guys enjoyed this rank session video if you have your favorite if you have a favorite moment let me know down below in the comment section if anybody counted how many Super Dashes were thrown out let me know in the comments other than that while you're down there if you like these videos and want to see more from the channel make sure to hit the like button and subscribe so that you never miss out on any of these videos speaking of videos I have some on your screen right now where I get a little less flustered but I'm Datsudoya I'll see you in the next video


Good day. It is a pleasure to join you for this important academic ceremony of the Open University of the Netherlands. OUNL is a leading distance teaching university and so it is appropriate that I use a distance teaching technology for these brief remarks. I bring you greetings from the Commonwealth of Learning and congratulate the Open University on its impressive achievements as it reaches the important milestone of the handover of the rectorate. I begin by congratulating Professor Fred Mulder on his most distinguished tenure as rector of OUNL. During that tenure, his influence for good has been felt far beyond the Netherlands. He has been intensely involved in the development of open and distance learning across Europe and through his involvement in the resurrection of the International Council for Open and Distance Education, ICDE, he has achieved global impact. Professor Mulder is well liked and highly respected in international circles. As an international guest at your ceremony, I thank him on behalf of the world's distance educators for his outstanding contribution. I also offer our very best wishes to the new rector of OUNL, Professor Anja Oskang. The Open University is a special institution in the higher education system of the Netherlands and she inherits an excellent tradition of leadership going back to your founding president and my good friend, Dr. Gottfried Liebrandt. We wish you a most successful tenure. I will begin with a few words about the Commonwealth of Learning or COL as everyone calls it and this will lead me naturally to speak about the special role of Open Universities. In his own address, Professor Mulder has spoken eloquently about the various elements of openness. I shall focus on just one of those dimensions, the openness of the content of learning. The Commonwealth of Learning is deeply engaged with the global movement to open up educational content and I shall give examples of our work. The open content movement has momentum but the battle for openness, transparency and sharing is not yet won. Open Universities have a special role in increasing that momentum and I shall refer to the involvement of the Open University of the Netherlands in OERs of which an important element is your UNESCO Chair in Open Educational Resources. The Commonwealth is a free association of 54 countries that are united by the values of equality, democracy, peace and good government. Openness and transparency are guiding principles in its work and these common values and principles unite a very disparate set of countries located all over the globe. Some, like India, are very large but two-thirds of the members are small states with populations of 1.5 million or fewer. Coal is an intergovernmental body created by the Commonwealth to help its members use a variety of technologies to expand and improve learning for development and that is our motto, Learning for Development. By development we refer to the Millennium Development Goals, the Goals of Education for All and those Commonwealth values of democracy and openness. We are a small organisation of only 40 people but we impact a range of global learning challenges, formal and informal. To help expand and improve formal education we show how distance learning can scale up secondary schooling and expand the supply of teachers. Both challenges are huge. Worldwide there are some 400 million children between the ages of 12 and 17 who are not in secondary school and we also need 10 million more teachers. Coal is also helping to expand tertiary education in small countries through an exciting programme called the Virtual University for Small States of the Commonwealth. Expanding informal learning is the other part of our work. It focuses on the huge global challenge of giving tens of millions of young people the skills to enable them to earn better livelihoods. A particular facet of this is learning for farming because despite massive migration to the cities, improving the prosperity of rural communities is crucial both to food security and global development. The mission of the Commonwealth of Learning is the use of technology in learning, which is also the mission of the Open University of the Netherlands. But what is the fundamental contribution of technology to learning? Governments in the public want three outcomes from their education systems. Access to be as wide as possible, quality to be as high as possible and cost to be as low as possible. Creating a triangle of vectors from these three outcomes makes the challenge clear. With traditional methods of face-to-face teaching, this is an iron triangle. You want to stretch the triangle like this to give greater access, higher quality and lower costs, but you can't. Try extending access by packing more students into each classroom and you will be accused of damaging quality. Try improving quality with better learning resources and the cost will go up. Try cutting costs and you will endanger both access and quality. This iron triangle has hindered the expansion of education throughout history. It has created in the public mind an insidious link between quality and exclusivity. This link need not exist, but it still drives the admission policies of many universities which define their quality by the people that they exclude. But technology can transform the iron triangle into a flexible triangle. By using technology you can achieve wider access, higher quality and lower costs all at the same time. This is a revolution. It has never happened before and this is what technology can achieve in education if well used. How does technology do this? The fundamental principles of technology articulated two centuries ago by the economist Adam Smith, our division of labour, specialisation, economies of scale and the use of machines and communications media. That is what you do at OUNL. In a traditional university the individual academic carries out all the steps in the teaching process, designing the curriculum, preparing learning materials, teaching the course and assessing the students. Here at OUNL these tasks are divided between many people who can specialise in different functions and become very skilled at them. So my key point is that the principles of technology not only give you economies of scale, but also the quality of service that goes with specialisation. And that is why OUNL came top in the National Survey of Student Satisfaction last year and second for three years before that. Mention of specialisation and economies of scale brings me naturally to open educational resources. In open universities groups of specialised academics develop quality course materials. This is an expensive process, but open universities can amortise those costs over many students. But regular universities do not have that option and therefore do not invest in preparing high quality learning materials. Open educational resources change this picture completely. They allow students everywhere to use high quality learning materials developed in other places. Because open educational resources have two vital qualities. First they are open and available so everyone can use them. And second and even more importantly they can be adapted for local use. Materials from elsewhere are never exactly what we need, but we can convert them to what we need by adapting them and OERs allow that. Let me give you three examples of how coal uses OERs. First we are part of the TESA programme for teacher education in sub-Saharan Africa. This consortium of 13 African universities and international partners has produced hundreds of OERs for teacher education. They are available in Arabic, English, French and Ki Swahili and were used by half a million teachers across Africa last year which is a remarkable combination of adaptability and scale. Second six countries Botswana, Lesotho, Namibia, Seychelles, Trinidad and Tobago and Zambia are working together with coal to create as OERs the complete curriculum of the last two years of secondary school. The six countries have divided up the subjects between them and each will adapt the OERs prepared in the other countries to meet its own national needs. Third through the virtual university for small states of the Commonwealth 32 countries are working together to create e-learning courses as OERs which each country can then adapt and use. These tiny countries are short of academic resources on every dimension so this is a revolution for them. These examples show that OERs can have a transformative impact globally at all levels of education and in all kinds of institutions. They hold a particular promise for developing countries provided that the global sharing of OERs is multi-directional from south to north as well as from north to south. The OER movement must not become an exercise in intellectual neocolonialism. Open universities and ODL institutions like OUNL have a duty to lead the movement away from this danger. I hope that you will encourage teachers in the north to use OERs developed in the south. This is an opportunity to demonstrate worldwide the leadership that you have shown in the Netherlands. Leadership is not just a matter of developing OERs. Universities also have a research function and I'm particularly delighted as a former assistant director general for education at UNESCO that OUNL has a UNESCO chair in OERs. The chair of your National Commission for UNESCO will explain to you what UNESCO chairs are so I will end with just two observations. The first is that the Commonwealth of Learning as a strong promoter of OERs looks forward to working with OUNL in the context of this chair. The second is to express my great satisfaction that Professor Fred Mulder who has done so much to drive forward the OER movement both in your country and internationally will hold the UNESCO chair. This is a perfect way for him to continue to have a major impact in the field of ODL as he hands over the leadership of the Open University of the Netherlands to Professor Anja Oskamp. I very much look forward personally to working with Professor Oskamp and Professor Mulder in their new capacities. I congratulate them both and I offer my very best wishes to the Open University of the Netherlands on this happy occasion. Thank you.


Our next caller is Jake from Ohio. Hey, what's up, Jake? How can we help you? Hey guys So I'll just get right into it I am a mixed martial artist That's a term pro here. I Fight at 145 Yet, I walk around about 180 pounds So it's a pretty big Pretty big cut My only issue is is so like During the, you know, off-season. There's never off-season, but when I'm not in fight camp I'm always trying to build up muscle and get stronger because that is When I have lost before I feel it's usually I'm getting Yeah, it's more on a physicality kind of standpoint So my question is is is how to gain You know, you know good strength Without gaining too much weight Which I know it's usually, you know, it's not about it's not about the weight But in my case I have to make a certain weight and then Once I do start fight camp not to lose that muscle So we had this body scanner thing at this gym I have or that I go to and my last fight camp from the day I started fight camp to The day before weigh-ins I lost nine pounds of muscle Right, so that's where I'm kind of at right now That's pretty that's actually pretty common and typical in your situation for sure. Who would you guys say the? George St. Pierre Conor McGregor who's pretty good at this as far as Maintaining their weight relatively close to their their fighting weight So this doesn't happen because this is very typical of a fighter who puts on 20 30 sometimes 40 pounds in the offseason and then when they go to cut for a show They lose a significant amount of money, but and by the way, that's inevitable if that if you if you put on that much weight In compared to what you fight at it's it would be impossible to lose 20 30 pounds and not lose some muscle along the way Yeah, so the strategy is this well first off Jake How much of that weight are you cutting right before? the fight in other words, you know, I know there's a certain amount of weight that you're probably cutting through You know water manipulation and and you know using the sauna So when you before you start doing that kind of a cut which typically has done the day before or two days before What is your weight at? so my goal if it's gonna be what I call an easy cut there's no such things an easy cut but If I can be 10 pounds Above weight the week of the fight so that Monday before the fight. I'm pretty happy Okay, so then we'll cut 10 pounds of water usually okay sometimes it ends up being more sometimes it's less So the key to this is so this is different for you than I would be, you know This is different advice. I'll give you then I would give someone else The key unless you you want to move up in a weight class the key is to stay as close to your fighting weight year-round as possible now I know what we think is we could bulk up and Then cut down and then end up with that more muscle But really what happens is that process of cutting is Really how you'll start to feel weaker if you are close to the weight I think you kind of already experienced that like you said if you can walk if you could be a week out and be 10 Pounds above then you feel best your best bet is to not let your weight go up to 180 pounds At all I wouldn't let my weight go up above 165 pounds, you know, this is common with bodybuilders to yes, so in the bodybuilding space This is a common mistake that I would see happen where guys in the offseason they put on so much weight Trying to you know add add muscle every show and it's like and then they would cut and then they end up Right back to where they started or maybe one pound of muscle more But they put on 30 pounds in the offseason to get there and that's such a dramatic shift just for one pound of muscle They would have been far better off Maintaining their body weight five ten pounds close to what their show weight is and the same thing I would I would say with like some fighters is they put on such an extreme amount of weight It actually ends up hurting them more than it ends up helping them Yeah, totally I would I would stay as close to your fighting weight as probably within 15 to 20 pounds is what I would do before you start to get ready for your fight or Decide to move up in a weight class now as far as training is concerned You know traditional resistance training explosive movements compound lifts That's all the same if I if I were to advise you versus, you know Somebody who wants to gain muscle or gain weight. It would be the same. It's really a function of your nutrition Now there is one thing you can focus on that Would that could improve the strength as it translates in the ring And that is to improve your functional mobility. So what that means is and I'm sure you've experienced this Jake where You know, you're trained with the guy in the gym You're lifting weights and they're just way stronger than you but then when you guys Get on the mat yours for whatever your strength just Yeah, okay, so so there's a couple ways a couple reasons for that one is technique and leverage which is your training I'm sure all the time with your jiu-jitsu and your you know, your Muay Thai and all that stuff But the other thing is this functional mobility, right? So do you have longer ranges of motion that you own? So somebody for example who could Lift, you know dead lift 300 pounds. They would be stronger Usually would be stronger on the mat than someone who could dead lift 300 pounds if they had better mobility and connection to longer ranges of motion because now they could express that strength in All the different weird awkward positions that end up in a fight Yes, obviously that goes right into what I was gonna bring up with in range strength and isometrics You know and something that you can you can definitely in prove The generation of force and you don't have to put on a lot of mass to do that. That's very central nervous system based So, you know, if you kind of gear your training a little bit more around what Sal's talking about But also then adding load to that. So some of these positions, you know If you can find kettle bells or you know something that's a little more versatile in terms of like loading these type of end range of You know in ranges then you're gonna be able to increase that strength. Oh, yeah Well, my question was if you I want to know if you had maps prime pro because I feel like That would be the perfect thing that you could utilize Yeah, so My so just to back up for a second. My coach is actually because I feel better At this like at like walk around like 175 to 180 like I feel obviously stronger. I feel healthier like I get injured less So my coach is actually wanting me to drop to or go up to 155 for my fights But that's what I've I've maps. I bought that bundle was it was anabolic maps prime pro and maps prime and I've been using that because there's only so much time in the day To you know, do my skill training do my strength training and obviously and I work as well in law enforcement. So Like being able to lift, you know, two sometimes three times a week has been a lot More beneficial and I've gained a ton of strength. I'm about to start my second phase now. This next call in week Awesome. Yeah, you're your best exercises are dead lifts presses rows and then like windmills Turkish get-ups and then I would do maps prime pro stuff Every single day because like I said, you could not gain any strength on your compound lifts just gain Functional mobility and connection to longer ranges of motion and better control like Justin said isometrics. That's your best friend I really is.  Yes so I would do maps prime pro like just do that often and Improve on that and you don't have to gain any muscle to get Stronger in the ring if you get better functional mobility and the calories To support that you don't have to go. I mean in this back to kind of comparing this to the bodybuilders You don't have to eat in that much of a surplus to to get stronger in these It's like I mean you're literally just a little bit above maintenance. In fact My goal for you would be to you know, can I slowly? Increase calories and not actually put that much weight on the scale So I'd actually kind of try and maintain my weight so long as I'm getting stronger, right? If I if I'm getting stronger in the gym More than likely you're either one you're you're training the isometrics and you're and that strength is going up or you? You are building muscle, you know, even just because the scale isn't going up 5 10 15 20 pounds Doesn't necessarily mean that we are not getting stronger. We're not building muscle in the gym Yeah Unrelated but yeah, my wife is she just came off a bikini show. So that's what she's They do like they're just like slowly adding calories back to into her nutrition. Nice right now Yeah, well, I appreciate it guys. Yeah, good deal. And you know, are you in our forum? I? I don't think so. I don't know I might be all right. Well, if you're not Jake, we'll get you in there for free because there's some other MMA you know fighters in there and people that have some experience and it's cool to share experiences and get some insight So you might get some advice in the forum that would help. So we'll get you a free access in there Appreciate it. Thank you guys.  Yeah, you're trying to gain more mass because it's it's very It's very much like how much ground can you acquire? So, you know mass has been official in that arena But in wrestling and MMA, you know, these weight cuts are really challenging because you lose that weight And then you're trying to gain it back, you know after your weigh-ins and you just feel fatigued and weak Yeah, have you guys ever well?  Oh, yeah No, I mean they call them they call them walking dead men at that point I'd so but I mean this it's this is common man This is really calm this and I think we fell into this even as just young lifters this idea of like You have to put on this a bunch of mass in order to add a few pounds of muscle And you you really do not have to and he's gonna feel better the closer he can stay to his fighting weight It's possible. So, you know, that's more athletic.  So now you're stronger, but sometimes it doesn't work that way because you cut so much weight You actually show up to the fight and if you like garbage, you know one of my cousins was a wrestler and His coach kept having him cut so much and he would feel dizzy and tired And I'm like dude Wrestle at a higher weight and he says no, I'll be weaker at a higher weight because everyone's gonna be bigger I said no, you won't I said you're weaker now and he did he actually Competed a higher weight and he's like bro night and day. I feel so much better Yeah, and I get it because the coach is one to win and have the best, you know chance Maybe going at a lower weight class, but you know your natural fit a lot of times You're kind of fighting your body just to get you know down in that low of a weight You know, there is a there is a massive Individual variance here, too And that you have to kind of know your body type because there are some people You know, I had an ex that was like this where I mean she could Dramatically cut calories and cut a ton away just keep muscle and keep muscle and her body just and you and I were just Talking about this after having COVID and stuff like that. It's like man I have the body type where you know, I lost 10 pounds and guarantee six of it was muscle That's just my body type now. There's I have pluses, too My body will respond and add really quick and so, you know, I it's it's not all negative because it happens But you do you do want to know your body type You may not be the type or you might have a of someone who's in your fight camp or one of your Companions that they are able to drop 30 pounds and hang on to all their muscle and you can't compare Them to you because that's where the genetic and variances Even if they have similar diets similar routines, but yet when they cut they hang on to all their muscle mass You're the type that maybe loses a significant amount when you dramatically cut like that