Next to the stage will be Sally Krocheck of L.A.V.S. and Heidi Patel from Rethink Impact. Sally is the CEO and co-founder of L.A.V.S., a digital financial advisor for women launched in 2016. She is the owner and chair of Elevate Network. Prior to this, she ran Merrill Lynch and Smith Barney. Sally is led by a simple idea. Women ought to invest in women and their interests. In her words, she has matured in her career and come in and recognize that feminism must include a candid look at the structural powers that are working against women and look at the opportunity to invest for women. Heidi is a partner at Rethink Impact, a venture capital firm that invests in impact companies with the potential to deliver financial returns for investors alongside transformational social and environmental change. While they invest in a broad range of impact businesses, they are particularly focused on supporting early and growth-stage companies that have women in management roles and use the technology to generate positive impact at scale, creating a more inclusive economy that provides enhanced benefits for people and our planet. Heidi came to this work from a traditional finance background and observed that there was a real opportunity to use these tools for good. Patel continues to be inspired by the authentic leaders who are creating significant impact alongside building big, investable businesses with the potential to change our economy. Please welcome to the stage Heidi Patel and Sally Krajek. Thank you both. Oh, thank you. So thanks for sticking with us. I know it's the end of the day and there are food trucks and drinks coming soon. So thanks for being here. So as Sammy was just talking about, I think many of you know Sally Krajek as being this co-founder and CEO of Elevest. Others of you may know her as being one of the senior women, most senior women ever in Wall Street history. And what you're about to hear firsthand is why Sally is also one of the most followed women in tech and as I can personally attest, one of the most authentic and hardworking women in the space. And I always say about Sally, she's on a red eye at least once a week and she's actually on a red eye in just a few hours. So Sally, one of the big headlines coming out of the money 2020 conference this week is that quote, the wealth management industry is failing women. Yep. And some of the evidence of this is 71 percent of every dollar owned by women is held in cash and women by the age of 75 are three times as likely to end up in poverty compared to men. So you used to manage 15,000 of all the advisers at Merrill Lynch. What is going on? Why are women being so left so far behind? Well, you know, I think the industry for forever has said, well, women are different from men. They're very risk averse. They need more financial education. They're not so good at math. There was a whole bunch of reasons why women not investing as much as guys do was sort of their fault.  Of course, it's going to do a better job for men than it does for women. And so we've had investing, which has been really gamified, outperforming, beating the market, picking the winners. And as it turns out, as we put in thousands of hours of research on what motivates women to invest, that's not what motivates them. You know, they're not interested in the the to and fro of the markets and outperforming and watching CNBC. What we discovered is they're actually very goal oriented. You know, they think of investing not as a thing unto itself, but really as a means to an end. And so L of S, despite all of the investing programs for women at all of the big financial institutions, was the first to really step back and say, let's put in thousands of hours of time and really get to what motivates them and build a product around them. So rather than telling them you've got to change for us, you know, we said, you know, let us change the product for you. And so you mentioned women being more goal oriented with with their dollars. Does that mean that they are less competitive or less interested and less appetite for risk? No. See, that's one of the things we hear about women all the time is women are risk averse. What we've actually discovered and there's a subtle point is that women are risk aware and that we just want to understand risk and we want to understand it not in terms of standard deviation and drawdown risk, but we want to understand how much of my money could I lose if the market gets this bad? Can I still retire if the market's down 500 points? Can I still buy my home in five years? And what we've discovered is that if you can build a product that shows them if they are on or off track that shows them, you know, in a down market, do they have a 40 percent chance of buying the home they want still or a 50 percent chance or a zero percent chance? And if the chance is lower than they want, then they should just deposit another thousand dollars or have a recurring deposit of a hundred more or something like if you can show them that they'll actually take on risk. And we found no difference whatsoever in risk taking amongst women and men at Alavest. That's interesting. And so why was it so important to start Alavest from scratch? I mean, obviously being a startup CEO is one of the tougher jobs you can have. You had tremendous relationships at some of these big firms. Why was it so important to start it from scratch? Well, I actually didn't want to start it from scratch. I thought about the last thing I wanted to do was to become an entrepreneur because who needs to take a red eye once a week and who needs to, you know, go raise outside money and, you know, all the hassle of it and set yourself up for public failure? Like who wants to do that? And so I went to any number of the big banks and said, look, this is the opportunity, right? Women invest, hey, women invest this much less than guys do, the market is huge. And by the way, if we can get more money to women, we improve society by a good bit because when women have more money, they put more into their families and communities and they give more away to nonprofits. So it's a win, win, win, but it's difficult to do it when you have, you know, why didn't I do it when I ran Merrill? Well, because we had a very successful, you know, business that was earning a couple billion dollars a year. And so to try to then fundamentally change it, which by the way, if you're right, which is a big, big if, and if you're doing a technology-based solution, which we were, you're gonna take the 150 basis points on assets you're earning and what, take it to 25, right? So you're gonna give up profitability. So plus the brand is established, the people are all rowing in one direction.  They were ready to do a marketing campaign, but not to fundamentally change their businesses. It was just nothing's easy, but it was easier to start it from scratch. And so for those of the people in the audience that haven't been on the L of S site, what is it? And what was it like when you went to go fund raise of venture capitalists to get the business going? Oh my gosh, it was horrible to fund raise of venture capitalists. It was horrible. Well, it's so hard, right? When you get the thing started because you've got an idea, but you know, I have to tell you the truth, even I sort of thought the idea wasn't gonna work. You know, at the bottom line, I'm like really, like if it really was this obvious wouldn't someone else have done it and hear the four people who tried and failed and hear the big companies that spent tens of millions of dollars and failed. And so I would actually, and I don't know what the solution's gonna be, so please give me money to try to find the solution. And then you had to have the team in order to get the money, but you had to have money in order to get the team.  Like why would you do that? But I did it and what was the other part of the question, but the fundraising was horrible. So when you were in those meetings, what were some of the questions you got? Like what were the biggest areas of pushback? So at the beginning it was a lot of women just don't need their own thing and women won't invest and their husbands do it for them. And you know, it was just a lot of the, and other people, other people have tried and failed. And you know, and then when the press started writing about us, the skepticism was well, this isn't even the real problem. You sure maybe there's a gender investing gap, but the real problem is a gender pay gap. And until we fix that, you know, we're not fixing things. And it's like, well, that doesn't make any sense. And then the pushback we got when we launched was really interesting. So after we had spent the time, built the product and are ready to go, and we have the thing out there and it's on Facebook and people are looking at it. And I'd say what was fascinating is about 60% of women said, well, this looks interesting, okay. But about 30% of women said, this is outrageous and ridiculous. And how dare you? This is sexist, we don't need our own thing. I don't need some dumbed down remedial financial education and they get really angry about it. And then what would actually happen is they would go in, some of them would go in, look at the product and come back out to Facebook and say, wait a second, I looked at it. It's the only one that takes into account the financial planning that we women live longer that our salaries peak sooner. And the portfolios are highly, actually this is more sophisticated. In fact, this is feminist, it's not sexist. But the sort of, the thing that's maybe not surprising but interesting is that there wasn't actually a single solitary woman who said, oh, this is for women and it's built by mostly women, it must be better. There was an underlying assumption that it was worse. And what do you think is driving that? It's how we're socialized, right? It's how we're socialized as females and it's also years and years of products for women being smaller and pink and more expensive. And so there was an assumption particularly around numbers and I think it also from all the years of financial services companies having their women's initiatives of remedial financial education literally there was a large financial services company that a few months ago did an event for women which was facials and stocks, right? And I think you're like, you gotta be kidding me. And so Cindy Gallup has said, and I think it's important, I quote her all the time, there's a lot of money to be made from taking women seriously. And by taking this customer seriously, we've been off as you know to a very rapid start. So you closed your series A round a little over a year ago and I know that you did a ton of research around this issue and what it means to invest like a woman. Now that you've been at this for a couple of years, what parts of that research are you seeing prove out and what have been kind of big surprises not even running the company for a couple of years? Well, you know, we talked about some of it already, the fact that women are not risk averse as we keep thinking they are, I think has been surprising for some. What I'm more surprised about, if I'm truly honest, is that we were able to get the traction we've been able to get. Because if you actually think about what we were trying to do, it was, hey, you've never heard of us before. This is a new offering. It invests in a different way than what you're used to seeing. We have no track record. You've gotta do it all online. You can't really talk to anybody. Did I mention you've never heard of us before? And so when she would go through and she would save her financial plan and she would take it to her boyfriend or partner or father or cousin, and they would say, what is this way of investing, that you're investing for goals as opposed to trying to get the highest return? That doesn't make any sense. And so it's interesting to me, and we were having our change of behavior from most of her money was in cash to invest it. So by the way, while you haven't heard of us before and we don't have a track record, we could lose everything. And so I actually think if I'd really sat back and thought about what we were gonna do before we did it, I probably wouldn't have done it. Because it was just such a high hurdle. But in fact, we gained, as you know, very early, strong traction. Right. So if I'm someone that's early in my career and I'm really burdened with student loans, is L of S right for me now? I wish I focused more on paying down those loans versus trying to invest. So we produce a lot of content. And because we want to help as many women as we possibly can to become, not financially independent, that's not a reasonable goal, but financially stable. And so for a woman who, or a man who is coming out of school and has those loans, they shouldn't be investing with L of S. What they need to do first, you know, we're very clear on this. First, you gotta pay down that high interest rate debt. Second, you need to build up an emergency fund of a couple of few months of take-home pay. The third, which doesn't feel sexy when you're 23, 24, 25, is to start investing for retirement. Particularly if you get a match because that's free money and you get the tax advantage of it. And then you begin to invest with an L of S.  And so talking about folks that are kind of earlier on in their career, do you, is this a generational thing? Do you see women that are younger, earlier in their careers, less likely to have that 71% in cash? Do you think this investing gap is something that's just gonna go away with time? Is it getting better as people are? I don't know, I don't know these days, Heidi, if anything's getting better. I mean, we just saw the new report of women in the workplace and for all that we've been talking about advancing women and it's been, you know, all the books about it, all the advice about it, the cottage industry about it, we have made no progress, right?  You know, it's just, it can be very frustrating. So of course, you know, we're not seeing a move yet in that gender investing gap that we're certainly working hard at it. The generational change that we're seeing is that women, younger women are much less likely to have their spouse or partner solely in charge of the money and so if you're above the age of 45, maybe the husband, if you're in a, you know, in a relationship with a man is likely to manage it. Below the age of 35, women are keeping it under their control and obviously we're trying to help. 80% of women die single, right?  And the other thing we're seeing that's interesting is that younger women are becoming feminist much sooner. You know, Gloria Steinem has said that women are the only group that become more radical as we age. And that typically what happens is women in their 20s, yeah, the whole feminism thing is over, I see lots of women at work, my mother was a feminist so I'm gonna rebel and not do that and we're fine. And then women in their 30s go into a fugue state of kids and marriage and bad boss and good boss and work and trying to get promoted and kids and all that stuff.  March, right? And what's actually changing, which is the good news is that with the election of Trump, right, and with the culture wars that are going on in our country, we're seeing younger women much more aware of these inequities and these issues and much more ready to take action about it. And we hope therefore much more ready to invest so that they have got the resources and the independence so that they can fight these battles because look, we gotta be clear, right? At a capitalist society, money represents a form of power and that part of what has enabled the me too in the time's up moment are women who are not necessarily financially independent but financially stable and in a position where they could speak out. And so it's not, you know, it's a necessary but perhaps not sufficient condition for real equality for us. Right, and so as I understand it, you're also serving not just folks that are just kind of getting going with investing but people who have made it, people who have pretty substantial net worths. Talk about what you're offering them, like why is Elevis right for them when they might be used to something that has more hand holding to it? Well, this has been a surprise because we really expected to start, we really started as a digital only platform and what we started to hear from women who were further on in their lives and had some money was, look, you know, we wanna be part of this. Elevest enables women to invest from their first penny and so I wanna be part of that change. I wanna be investing in that change and quite frankly, we had some women tell us, you know, the investing industry, their parts of it, they're like, you know what, I don't wanna always support, you know, an industry that hasn't supported me and for all of you in this audience knows very well, the majority of women are interested in impact investing but it's a very small single digit minority of financial advisors who have spoken to them about it and when most of them hear about it, you know, when financial advisors are asked about it, they say you have to give up returns in order to do this and so we hear from so many women of some means which is that doesn't make sense to me. I don't understand why if I'm investing for the environment or in social causes or, why do I have to give up, that doesn't make any sense that I have to give up return and so at Elevest, one of the things we're offering, particularly for women of some means, is the opportunity to invest behind other women, gender lens investing which is, you know, a little hard to come by these days and so there's a real interest in, can I be part of this, support these women who are starting out and support women through investment products as well and so there's a nice sort of circular reinforcing reference here. Right and what about your team? How have you thought about building out your team? What are some of the core values that you've brought with you? You thought about, you know, hiring folks into those roles.  I think we should hire this individual of difference and I remember my co-founder saying but we have to let our managers manage, right?  I grew up in a meritocracy. I grew up on Wall Street, which is a meritocracy that happens to be 90% white males, right? And I'm not gonna do it with a company that we took outside investors from with the promise that we build a diverse team and if it is 52%, 48%, it's really 30%, 70% because this team, it's their first hire, they don't understand their own inherent biases and so, and we actually got in a fight. It is rare that we fight but we got to where I sort of had sweat trickling down my side because, you know, I hate conflict but we did end up giving the individual who brought diversity to us the offer and they ended up turning us down because they said I don't see enough diversity like me in this company and so since then we've made a real overt effort. That's great and it's really great to learn more about I think just the opportunity to build entirely new types of financial firms, investment firms in the ground up just look really different from what's come before. What is important too, particularly our millennial clients is that we do look like the world that's out there today. We, you know, one of the reasons the other efforts to serve women have failed at other financial services companies is because, you know, they don't look like these individuals and it doesn't matter as much to the women who are 60 years old, it matters a lot to the women who are 25. Great and on that note, thank you so much. Thanks a lot for having us. Thanks guys.


Whistleblowers are telling these lawmakers that there was an internal effort to shut down the investigation from the beginning Have you found that? I have not found anything like that All right, so Welcome back everyone quickly I just wanted to request that you all keep my wife Courtney in your prayers on Thursday We had to have an emergency delivery of our daughter and ever since then she's had some complications that have kept her in the hospital She's done a lot better over the last couple days But I'd still really appreciate those thoughts and prayers. Thanks a lot now on to FBI director Chris Ray who I make no secrets about Absolutely loathing my dad always said you can't bullshit a bullshitter So I guess that makes me a bullshitter because I can read Chris Ray like a book So last night he did an interview on Fox News with Brett Bayer And I think he did a pretty good job pressing Ray on points that many others in the media or anyone else in the media Would ever bring up but I still think he went way too easy on him And didn't press him on issues that I think are very important and need to be addressed So first off Brett Bayer hitting Ray with the FBI's policing of free speech on social media And by the way before we get into this, I'd like to thank Tom Elliott for all the clips Well, let's start with the laptop the FBI has had access to this laptop for more than three years Why is this investigation on the Hunter Biden laptops that take me so long? Well, the investigation is being led as you may know by a US attorney appointed in the last administration out of Delaware And the FBI is actively supporting and working with that US attorney on that investigation Bullshitting but the whistleblowers are telling these lawmakers that there was an internal effort to shut down The investigation from the beginning. Have you found that? I have not found anything like that All right, so what no what no nothing like that Seriously, maybe it's not so much that I'm good at spotting liars and that he's just not very good at it You're not supposed to telegraph that you're lying with your facial gestures and body language and Brett is right here There are many FBI whistleblowers coming forward to testify that the FBI has actively covered for Hunter Biden But don't worry the FBI investigated themselves and found they did nothing wrong Don't you feel better? Let's talk about the FBI and what you told big tech Or some agents did about the authenticity and providence of Hunter Biden's laptop What about that from an FBI perspective? The FBI does not it is not in the business of Functioning as the truth police understood. We don't tell social media companies to censor anything Well, the Twitter file suggest something different.  I mean there was an FBI request numerous times Tai Ebe puts it out FBI San Francisco requests to ban certain accounts Was it is it appropriate to flag social media accounts for on Twitter or elsewhere due to politics or Government policies when it comes to COVID is it appropriate in any way you're saying it doesn't happen But there's evidence that it had we don't tell social media companies to ban accounts.  Yeah, but you suggest what what we do is tell social media companies about Information that we have about foreign disinformation campaigns by foreign actors by foreign intelligence services So just to reiterate his new lie is that the FBI isn't policing free speech and isn't telling these companies who and what to censor absolute 100% Filtered pure bullshit the problem for Ray is these weren't foreign people or entities that the FBI targeted They were regular people regular people saying things that the FBI didn't like and to make things worse They were relying on fake groups like Hamilton 68 Which these companies were forced to use and tell them who and wasn't disinformation Hamilton 68 was and is a computerized dashboard designed to be used by reporters and academics to measure quote Russian Disinformation it was the brainchild of former FBI agent and current MSNBC Disinformation expert Clint Watts the Ladder's advisory panel includes former acting CIA chief Michael Morel Former ambassador to Russia Michael McFowell former Hillary Clinton and American chair John Podesta and One time weekly standard editor Bill Kristol. I knew it. I'm surrounded by assholes Are you noticing a pattern here all of these people are either from the intelligence agencies or the media and are all staunchly anti-trump and Republican it was such a sham that even the hyperpartisan left-wingers at Twitter Started calling it out. These accounts are neither strongly Russian nor strongly bots No evidence to support the statement that the dashboard is a finger on the pulse of Russian information ops Hardly evidence of a massive influence campaign declared trust and safety chief YOL Roth I think we need to just call this out for the bullshit Given all this and the environment at the time that these companies had to do whatever it took to stop Russian interference in our elections The companies that the FBI was interfering with here felt obligated to do whatever they said this hole We didn't tell them what to do act is total bullshit And the other Twitter question we get a lot is did the FBI have undercover agents or paid informants or assets among The mob that stormed the Capitol on January 6th. Yes. Well, as I'm sure you can appreciate Brett I can't really appropriately talk about when where and how we use confidential informants. Is it classified? Well, we have information that is about any number of topics that is law enforcement sensitive but you should not read into my inability to answer a question because of my obligations as That is a clue or a hint in any way about how accurate your readers Tweet is fuck And even vice president biden on the debate stage Reference this letter from former Intel officials there are 50 former national intelligence folks Who said that what this he's accusing me of is a russian plan But it turns out it wasn't I I can't speak to what former Officials of the intelligence community may or may not have said I can only Speak to what we do. Oh, he can't speak to what those people said But these are the very same people that he was relying on to tell these companies What was and wasn't russian disinformation using groups like hamilton 68 Comprised the former intelligence experts he and his buddies along with the media lied and manipulated the election in favor of Joe biden that I expect our people to tackle this investigation the way that I expect them to tackle every investigation Which is to follow the facts wherever they lead Then why did you ignore the evidence in the GOP baseball game shooting in order to call it suicide by cop The evidence showed that the guy who launched the terrorist attack on republican senators while screaming This is for healthcare worked for bernie sanders had a list of republican targets and asked someone if they were democrats of republicans Before he started shooting. But what did ray conclude? He concluded that it was suicide by cop Ignoring all the evidence and only years later admitting the truth I swear it's almost as if this guy thinks that he's some kind of jedi mind trick master But in reality he was taught wrong as a joke.  I appreciate you watching if you found it informative or enjoyed it Please hit that like button share subscribe and make sure to leave a comment to continue the discussion. Thanks a lot. I'll see you all in the next one


So what's the point of monitoring here? So now we've already been doing it a little bit, but people often just wonder, so something's running. How do I know if it's doing what I expect? How do you, actually, let's see, we'll put a good breakdown here. There's three types of monitoring. So when the job is submitted, is it running yet? Monitor the position when it will run, when it should end, and so on. Which we've already seen a little bit of with the Slurm queue or SQ, that kind of thing. Second, when the job is running, you want to monitor the job state and how the simulation is running. And actually, we just did that exercise, basically, watching the file output there, and you'd have your program write the right amount of stuff. And then finally, when the job's done, we want to monitor the performance and research usage. So basically, this will answer the question, did we reserve 10 processors and it's only using one? Or did we reserve 50 gigabytes of memory and it's using two? And that lets us adjust our request closer to what is actually needed. And I think a lot of what's here is probably self-explanatory and either the exercises or what we've already talked about. Should we scroll down, monitoring during queuing? Is there anything new to say here? Yeah, well, if we look at the output, like the important, like all of the output is basically quite self-evident here, but the terminology is good idea to like go through this list at least once and check these terms, what they mean and try to like get a grasp of what they mean, like what is the start time versus time. So start time basically is when did the job start in like clock time and the time is how long did it take to run? So it's like relative to the start time. So like these kinds of like things, it's good idea to like maybe look through the list once, but yeah, checking in the queue is easiest way of like monitoring, did the job start or did it fail because it like, could we get more resources? There's no resources available, like you're asking the wrong partition or something like that. Or another example, if you've submitted 1,000 jobs, what's the status of them? Like are they all done? Are they have done stuff like that? Usually also you will see like jobs that are in the queue that are not yet running, like bigger jobs here in these exercises, we cannot really have this kind of like jobs, but if you submit like a really big job, you will see usually an estimate when it will start. And if it's like, it will start in a week, you might think that, okay, am I actually asking the right resources? Is the job really that kind of a job that it takes a week to queue it? So you can usually like also determine like, is the job that I'm running, is it like correctly allocated or correctly? Did I actually make the correct resource request? Yeah. Okay, so what's next? So monitoring while it's running. So we actually just showed this, you give it the output file and then you can look at it already as it's going, just like the question in the notes said. And there's different kinds of outputs here. So can you explain these? What should someone even have the program write while it's running? So this is a bit wordy, so I recommend treating it later on, but I can try to condense it in few sentences.  So this is like, okay, like very, like something like we previously saw, like it has this kind of like, I'm doing this thing right now. So for example, like the date command, it was printing the time it was running the command. So from that, we can see that, okay, what step I'm taking. So a typical thing would be something like this, that it says that I'm loading data, I'm running iteration 31. And if your program contains like outputs such as this, you can easily see what it's actually doing while it's doing it. Even if you're not like actively running the program, like you're not interactively running it, you can still know what step of the program it's currently doing. And it's good idea in your program to use these kind of outputs, because then you can easily have it, you can easily see it from the output file that Slurm stores for you. The second kind of output is this kind of debugging output, which is like this very like, you print like the actual variables and this kind of like, okay, what sort of like internal logic is in the code so that you know that if there's like a problem in the code or something, and this can be usually like something that is very hard even for human to read. So it might be two verbose for human to read, but it might be something that you might read with like a special tool or like you store the actual, let's say, arrays or you store the crash state or something like that and use debugger to look at it. And this is something that you don't usually want to enable if you don't read it yourself, then what's the point of the output? And this debugging output is usually the kind of output that is good if your program is crashing and you don't know what is the problem. But if you're constantly printing like stuff that you don't, you know that you're not even going to read, it's not important and you shouldn't store that constantly because every time the job writes to the disk, it can create like, if you have millions of these jobs running, it can like create problems. So you want to like keep the verbosity at the level where you are actually reading the output. The third output is that like in many of the programs that you're running, like we were talking yesterday about like choosing what is the time that you want the program to run or what is the time limits? Like if you notice that your program will be like running out of time and your program has been running like three days and you save output only at the last second when the program is running, you know that, okay, now I'm going to lose like three days of calculation. So in many cases, you want to write your program in a way that it can store just like the situation, what's happening and it saves like a checkpoint. So common ones are like physics codes, they're usually for like a checkpoint where you have the simulation state or like deep learning models where they store like the state of the training model that's being trained. So they store like the weights of the model so that you know that you can continue where you left off. And this is a very good idea because then you can think about like how much time did you lose if something goes wrong and if you don't lose the whole simulation, you only lose up to the latest checkpoint and it's a good idea to have this. And then of course there's the final output, the simulation output. And it's usually a good idea to like before you start the simulation to know what is going to be the output. So you don't forget like, okay, I needed to actually calculate the mean but I calculated only the variance. And then you're like, okay, I guess I have to run it again. So it's usually a good idea to before you run the program to determine what sort of like output you want. Yeah. And there's a really good question. Can we explore the result directory throughout the calculation that's running? And basically, yes, and it's great. Like, especially when you're developing, write the program in a way that it does write these outputs and you can actually check and see is it doing the right thing? Like for example, quite often nowadays, people are like, if they're doing like deep learning or something, they're using tools like 1DB or a weights and biases or something. Like, oh yeah, that's the weights and biases but they're using tools that basically show that training state while the simulation is running in a fancy app. So people are using all kinds of tools to monitor the monitoring output doesn't need to be always the terminal. It just depends on your program. What sort of output can you create? Like it can create a plot for you every, like every 10 iterations or something. And then you can view the plot and you can know that, okay, like it looks like it's going to the right direction. It depends on the program. Okay, should we move on to try to get the exercises? Slurm history we've been using and this shows more about what comes out of there. I think we don't need to say much here other than. Yeah, main things would be to mention that like these fields, like you can have these fields that specify like how many, how much memory did you actually request? And this marks RSS shows like the maximum re, the coincidence set size, so the maximum number of memory that was basically reserved. And then the total CPU time shows basically how much CPU time was used in total. And the wall time shows the like the real time, like the actual clock time. So you can see from here, like this kind of like timing information. But there's a better tool for these, which is to use SF. So Slurm efficiency basically. So if you give SF some job ID, after the job has finished, it will tell you your CPU efficiency, your memory efficiency. And you want these to be like CPU efficiency as close to 100% and memory efficiency, well below 100%, but near the 100% as well. And so the like the memory that you have a request that you're actually using it and the CPU is your request that you're actually using it. And yeah, these are very good tools to use. Yeah. Okay. There's a section on GPU monitoring. You can read it, but actually we'll get this tomorrow. So I think- And I think this might be currently all only auto. So- Right. Yeah, that's- This section, but there's this SSH section that might be applicable. But GPU monitoring is a bit more tricky. We are discussing on technical solutions for this GPU monitoring. It's a bit annoying, but we'll talk about this later on the GPU section. So let's go to the exercise. Okay. Is there anything we need to mention when starting here? I mean, I think they should be mostly self-explanatory and you can always check the solutions. The... Yeah. I mean, let's just go. And we noticed from before some, there are some lots of problems using, like doing all the stuff from the terminal, typing it from the command line and so on. We know it's hard, but it gets better and it makes this kind of work possible. So the reasons we have all these things is just to give you more familiarity with it. So how long should we give? I guess we're coming close to break time. Since this is not so critical for the future stuff, should we come back five minutes after the hour? Yeah, I think that sounds good. Okay. I will write it down into the notes. Yeah. And I'll post the link there. Okay. Thanks and see you soon. Bye. Okay. Y'all should have said earlier. Yeah. So what were you saying? So I forgot to push the button to activate the stuff. Yeah, that must be funny. Okay. So please comment up here about the... If you were trying or not the status, we don't see many new questions here. So if people don't have that many questions, maybe we should just go on. Yeah, I will quickly mention that this monitoring part, it might feel at this point like this kind of a little bit of like, okay, what am I really monitoring? I'm not running anything important. But this will become more and more important the more and more stuff you do. So let's say you start, you work in multiple projects, you might try different things. You might need to manage, like basically instead of being that you run, like instead of running a simple thing, you start to become a manager of things. So you start to manage multiple scripts, multiple simulations, multiple different things. You submit array jobs, you submit like parallel jobs and all sorts of things. So it's good idea to get a grasp of like, okay, I need to manage these jobs I have in the queue. So I have these many jobs that I need to manage and put them to the queue. And then afterwards I need to verify what they did. And it's a good idea usually to get a grasp of like this kind of like, whenever you run something, always do the monitoring because that will help you a lot in the like, because once you start to run like hundreds and thousands of jobs and you scale your stuff bigger, if you do not use these tools, you suddenly, you can hit like a wall where you cannot manage them anymore. And it's a good idea to like start it with small jobs and start like get the habit of monitoring your jobs always. Yeah, okay. There's a good question here.  Can't see the steps in a loop? Do we see them in the end when it's done? And the answer here about buffering is really good. So basically in order to be more efficient, like basically writing stuff to the storage is one of the slowest things that code can do. So a lot about the system is designed to avoid writing stuff to disk when it doesn't need to, which is why there's something called buffering. So basically the idea is that when a program is making output, if it's not going to a terminal, so terminal is unbuffered because you need to see it right away. But when it's writing to a file, it will wait a certain amount of time or a certain amount of data that comes before it writes it all at once. So basically what's happened here is that, yeah, it's, what is it? Yeah, so it's like writing these little short lines and the Linux system is saying, okay, I don't actually need to write this yet. Let's wait till there's a bit more and then it writes it. So there's different strategies to get around this. So there's an option here, export Python unbuffered equals true, which tells Python always write stuff. There's also when you're writing things, if you search flush your buffers for whatever programming language you have, then you can tell it right this line immediately. But one of the lines, which example was this that we were doing that had this? I think it was on the serial. Serial, that was in serial, yeah. But I think we've said what we need to say. We should look at the exact exercise to see why, but so you know. Yeah, but the main thing is to like, if you see this kind of like behavior that doesn't remind you of, you know, behavior, there's usually a reason for this. And there's also usually like a solution for this. And like the solution isn't to always keep stuff unbuffered, but the solution is to unbuffer that stuff that is like, like actually important. Yeah, like you'd flush the buffer just when you're done with the iteration instead of unbuffering everything because that's not good for the system. So good question is, well, time's supposed to be short an exercise for it, not for me. There's a good answer here. So maybe with one processor, it ran on a faster CPU than the others. But also the Pi program is just so fast. Maybe you can actually see the difference because at the time it takes to start Python is so much. But we will get to this more. Yeah, tomorrow when we are talking about, when we're talking about Python, sorry, when we're talking about parallelization, we'll talk about this, but it might have ended up on a different machine with a different CPU or something like that, which is faster. So like there are multiple variables that could affect the result. Okay, so let's move on. If we go to the schedule, next up is a little half hour period. And the things we're talking about, like I said, we used to do them first and they would take up most of the day. So what you're about to hear, we can't possibly tell you everything that you need to know. And we're just sorry about that, but we're gonna try to give you a quick overview to see what's there. And you can keep reading and figure out the solutions for your problems later. So one thing I just noticed, there's software modules here, but not applications. So I wonder, did we lose applications or did we just always skip that? Or was it that? Yeah, maybe like, yeah. I actually think we should do the new applications that I just rewrote. I will put a link into the notes. Yeah, I have it. Okay, and I'll also post it to the Twitch chat. Oh, can someone else post it there because it'll take some time to move to that computer.


So let's jump in. Ta-da-da. Ha, let me get rid of this banner. We don't need this. Tommy V, shout out to the beautiful people and the Dan fam, hello, everybody. Toaster says, I'm still holding my crypto and not planning on selling it. Sounds good. But with everything happening, this feels like the first steps towards the end of crypto. This is how it always feels in bear markets. Everybody's euphoric in bullishness and like it'll never go down. And then of course it goes down. And then of course people will always, it's always a different narrative, right? In 2017, 2018, it was all about this is the future and this is what's gonna happen and it's gonna be awesome. But then we realized that we were nowhere near that and no one was actually really building the rails. So it just collapsed. And then this next one in 2021, people always tell me, Rob, you don't understand. There's so many institutions like MicroStrategy and the like and even El Salvador. Bitcoin will never go down from now on because there's just too many things to buoy it up. And I'm like, just wait. And here we are. So again, that never changes. And then of course, even though you think that bear markets will last forever, they don't. They're like the rain in Puerto Rico. You don't like it, just wait a little bit, it'll change. Hello, BattleRap. Even Sam Bacon-Free believes most crypto is a Ponzi. I saw that one where he was talking about it. And I think it's true. I think in some of these, I think everything's a Ponzi until it becomes stable. Let me introduce you to the American social security system. Let me introduce you to pensions. The same thing. Like you have to actually get things going. You have to actually bring more money in or else everything collapses. That's just the truth. Let's see. Twisted says Rob Schills, but doesn't run pool like other pumps and dumps. Yeah, I got to get away from that term. I think because Schill has a negative connotation and we're rightfully slow, rightfully so. But I am an aggressive promoter of the projects that I invest into and believe in. That's what I should be saying. But I didn't. Anyhow, good point, Twisted. YSK, someone made a good point in Twitter showing how commodities have come down quite a bit since all time high this past year. Yeah, I think even Ben talks about it, about the end of the cryptoverse. And he talks about how beforehand commodities would always drop down and then kind of rebound as we start to rebound out of the recession, which I believe we're in right now. So buckle up. There's gonna be a lot of that going on. Bombs away, says you guys are fools to trust any unregulated exchanges. Not wrong. Ben Cole, Rob, don't you promote Celsius? Yes, I used to promote Celsius. I also used to go to Blockbuster. I also used to use a real typewriter to type my papers when I had to put them out. But as time goes on, I realized that one are just completely useless and one didn't tell me all the things they were doing behind the scenes. So I don't talk about them anymore. And that was why on June 12th I put up that video saying to take all your money off of Celsius. And I did the same thing on June 22nd with Voyager. So hope that answered your question. The herd is following Gareth Salloway. Dude, I remember we would talk about Gareth briefly on the DCA shows, me, Ben and James behind the scenes before we got going on. We're like, you know, this guy thinks that we're gonna go below 14 or even like below 20 when it was 40. Who's laughing now? So, yeah, he was right. Guitar, Ben G. Gwaltney just covered. Oh yeah, someone said that they had a Celsius tattoo. And Noah says, just covered with a Voyager tattoo. He hit Mo. It's funny. There's lots of news about Rob. I understand that Celsius was a peer-to-peer collateralized lender. It was even stated on multiple AMAs about their flywheel model. That's fraud if that wasn't done in pain. That is for the legal process to sort out. It's just that I just know that when I got a loan, I had to collateralize either 2x, 3x or 4x. And that made a lot of sense to me. So I just, I find it hard to believe that institutions could just take it for nothing and then do whatever they want to. And they're like, that's good. Okay, he's got a great track record. I don't know. And this is a great point from YSK. I need to learn more about how to tell when things are cheap versus inexpensive. Just trying to figure out how to buy all this. And you know what? That's what I was talking about for this one, George Gammon. And he, I gotta, if anybody knows George Gammon, could you help me get him on the show so he could explain that better? But it's a real good point to not look at indicators and go, well, it's the bottom. I'm gonna buy right here. And it goes down again. It's just to look at things that go, what is cheap and what is expensive? Right now crypto is cheap, I think. It could get cheaper, but it is still cheap. And right now houses are expensive. So I will not buy real estate, especially commercial. That's crazy. So the, anybody knows George helped me out. And let's see what else we got. This is a great question. How trust worthy as I trust capital? Just signed this past week. They just put out a comment about, and again, not to say anything, but I told these guys directly. I said, I need someone to come on the show ASAP. Because if you just say, trust me, we're okay. We're a Roth IRA company. You can trust us. It's not gonna fly. I understand they're like, look, we don't do any, we don't do any type of crazy DeFi plays. We don't do loans or doing like that. I go, I get it. But Voyager also said the same thing a week ago. They said, hey, we vets, everybody who we loan to, your money is safe, everything's good. People don't wanna hear that. They wanna hear a face talking to them, saying exactly why they're safe. And look, this is where I trust, for there's a couple of things. First of all, when you do a Roth IRA, you can only put in so much amount per year. Like for me, I have a, I cap at 7,000. I can't go in there and put $10 million immediately into a Roth IRA. It doesn't work like that. So on that part, at least I won't lose everything. If someone says, I put it all in there, maybe 7,000 is everything. And that's the bigger thing. And the second thing is they said, well, there's no monthly fees. So how do they make any money? It's because they take 1% for everything that you trade within your Roth IRA account. And that's where they make it. And believe me, they got a lot of, they're like a billion dollar company now. And they have a lot of people who are smart, who trade within their Roth IRA account. And that's it. And they also use coin-based custody, which is the same that Michael Saylor or Michael Schrages used. He having said all that, I'm still telling these guys, you need to come on the show, you need to come on the show, you need to come on the show. I need a face here. So once that happens, I'll let you know and go from there. Thanks, man. Checking a crack? Checking a crack, it's funny. Hit the like button. Gertie, can you play us a little guitar player now? And check in the crack. I use the app all the time. Yeah. I'm just curious if that's the Trueflation or the Laguna app. Okay. And then let's see what else. Hello from Lithuania. Hello. I did. It's true. You be safe out there. So this is, Jay and Chow has a good point. And this is from Coffeezilla. Cause Coffeezilla, if you don't follow Coffeezilla, if you're looking for any type of like scams and things like that, go follow that guy. That's this whole show. And he's got millions of subscribers. Does a lot of good work. A lot of interesting stuff. And he says, does your opinion of VGX purposely followed bankruptcy wrong enough while it was a brokerage? Because it's always been told to me that they were a brokerage. Has anybody heard anything different? That's how it was explained to me. They're a brokerage. They're like thehotels.com. They go to all these different exchanges and go, okay, out of all these five, six, seven or how many they had partnerships with, out of these ones, give me the best rate. You guys are the best rate? Great. So I want to buy Bitcoin at 19,283. Okay. I just saved these guys 10%. On that, I give them the lowest price and I take a little sliver of that percentage and that's how I make money. That's what a brokerage is. I was led to understand. However, as they filed it, they didn't file it as a brokerage, which would be a SIPA. And SIPA is, if they did that, it would be immediate liquidation. And they're saying that the point of contention is that they weren't trading securities because it's up in the air. So here's the thing. That's just how they filed it. Do I think it's wrong or do I think it's right? I think you use the rules that are given to you and you play by the rules. And if one of those rules is it's ambiguous to say what is the security or not, then that's what you do. And that's just how it is. So it's not about that. My big question is when did they become solvent? When are they able to open up? When are they, what does this plan really entail and how fast can we get it moving? Because right now there's four parts of that plan. The first part is the people that for the restructuring they'll get stock in Voyager. I don't know if people even want that. They're also gonna get the VGX token. I don't know if people are gonna want that.  They're not pro rated the pro rata, PRO, R-A-T-A. So we'll see. I just want everybody to get their money back and their crypto. Oh man, Zeno says, I just got here, but effing Celsius, I have 80th in there and this point seeing as a loss, good outcome of this point would be getting a small amount of that. Look, even if people take a haircut 10, 20, 30%, I think some people like thank God and they would take it. Which is kind of weird to think about that we would take a 30% cut for trusting in a company. Trust me, bro. Exactly, yeah. Damon says, well, I appreciate honestly about your hits and misses. It's refreshing. Let's forgive what they said in the past. Everybody's got Alzheimer's. Look, I can't have that because like, why have to come here? I have to come here every day. I'm gonna be here anyhow. So why don't just take the comments that come at me and just address them head on. You know, you just show up. You just show up and you keep moving forward. That's how life is.  George Gammon is, yes he is. I'm gonna show it to you in three simple steps. Yeah, that guy. Good guy. Nova Grads does have as a Terra Luna tattoo. What a great reminder. When you wake up every morning, wouldn't that be like the greatest reminder? They're like, don't go too heavy into one specific thing. Maybe dig a little bit deeper. Don't get tattoos of companies that you invest into. That would be my thing. Let's see. Thanks, Loris. In the zone, I try to be. I don't think so. Fanny Soomi says, in Sweden, we can invest in Bitcoin certificates. And it's been working since 2014. It's the same here. Fanny, I gotta tell you, I gotta give you a word of warning here. Bitcoin certificates sound like paper Bitcoin and that means that you don't own that Bitcoin. So the question that I have for you is, in that certificate, I'm just gonna ask that they give you like your private keys for that one or it's just like, here is some Bitcoin and there you go.  That's not Bitcoin. If that's how I understand it, I could be wrong. So let me know in the comment section. Always make sure, like we talked about, don't keep anything on exchanges. Don't keep anything anywhere. Keep it on your hard cold storage wall. That would be the best thing for me. Does I trust following your rules 100% scam? So here's the, this right here, the rules 100% are scams. What it means is everything's a scam until proven otherwise. Treat everything as a scam until the actual reality comes out and the truth. And then you can say, okay, this is what it is. Obviously not everything is a scam. That would be, that means that you would never invest in anything. But if you treat everything like a scam first and you verify don't trust, that's what I'm talking about. Again, if you get a message from Satoshi Nakamoto says, hey, I got some Bitcoin, just send me to Bitcoin and I'll send you for Bitcoin. It's probably a scam. So that's the things I'm talking about. I think that's it. We're going pretty long today.  Is it a good investment? I think so. Some people say it's a ghost chain. I don't see how it's possibly a ghost chain. And people say, well, who's really developing on it? A lot of people. So before I get everybody, let me just show you something. Who's like, oh, really? Oh, really? Yeah, really? Hold on. That's not it. That's the four year cycles. What I'm looking for is, here we go. This, there's a link in the description. It's called Cardano Ghost Chain and you can find this slideshow there. And this is the Cardano ecosystem in 2020. And I couldn't even find a good picture. It was all jacked up, but that's 2020. Here it is in August, 2021. Here it is in November, 2021. And here it is in April, 2022. Here are the projects being built on Cardano presently as of 6th of June. So in a month, maybe there was some more. Wild stablecoin oracles, NFT marketplaces, data developer tools, identity solutions, blah, blah, blah. Here's all the staking, 33 billion, 619, 619, 615,000. Here's how it looks as far as staking rewards. So the staking market cap, which is roughly 71%, is about 11 billion being staked. And what's crazy to me is that with Cardano, there's no lockup periods, like with Ethereum and Solana. It's just you don't, you just put it in and say it's staked. They can unlock anytime. And there is no locks. There's no unlock. They can take it out of the Dan, the DNews stake point anytime they want to, they're still 71% of that. And then also people will say, what about DeFi, Rob? What about DeFi? Well, as far as DeFi law is concerned, there's 72 billion locked up for total value. And yes, Ethereum does have 45 billion, which is very true, but Bitcoin only has 118.55 million and Cardano's in good company with 118.56 million. So yeah, not like it's locked up in the DeFi part, but if you look at the other things is a ghost chain. I just don't see that being the case. I could be wrong. Let me know in the comments and we go from there. Let me stop the screen. Okay, Rob is a medical World War II. It feels like it. Rob, the password link doesn't reset. Ah, I'll take a look at it. Send me an email. And Flesh is talking about danteachescrypto.com, 100% free website. It's always free. And it's all the stuff that I think that everybody should know about crypto and how it all works and how to use a cold storage device and how to avoid scams and the difference and things I've learned along the way. And I'll leave it with this great point. Time in the market is more important than timing the market. So look, that's it for today. So if you like today's video, give it a thumbs up. Consider subscribing to this every day. I try to do, well, yeah, every day just about. That's it for this one. So thanks so much for hanging out with me for almost an hour, 1500 of you. I appreciate that. And we'll see you in the next one. All right, thanks everybody. Adios.


All right, our next speaker is Dr. Vinod Agarwal from MD Clone, speaking on overview of MD data platform. Thank you, Dr. Dev. Welcome, everybody. Once again, good morning to this wonderful conference on using VA data. My name is Vinod Agarwal. I'm a physician and part of the clinical team at MD Clone. Firstly, I want to thank Dr. Amanda Lee now, who's our host and sponsors the MD Clone Adams platform within the VA innovation ecosystem environment. I also want to thank Dr. Sandesh Dev for hosting us here and providing us the opportunity to show you why you should get involved in VA projects if you haven't already been involved and why the data at the VA is such a goldmine. I'm going to reinforce many of the concepts that Dr. Lee now has made and Dr. Sandesh Dev has made and Dr. Schwenke has made. And in addition, talk about certain special features of the MD Clone Adams platform that really have benefited clinical researchers so far. I'll focus in on these challenges faced by clinical investigators and why they use the MD Clone Adams platform to overcome these challenges. As you see this first slide clearly states it's a self-service healthcare data platform. MD Clone Adams platform is a self-service healthcare data platform. So let's dial into the challenge for clinical researchers. We hear this every day from the researchers that we're working with. There's often a need for them to work with analysts with coding skills to pull the data. Think about that. Then they need to get approvals for getting access to the data. Think about that too because many of them have ideas in the moment but then need to go and pursue a process to get access to the data. Often time what happens is by the time they get access to the data or learn how to work with an analyst to pull the data, the idea becomes old. They've got new ideas. So the original idea never really got pursued. They've got many ideas. They've got 10, 15 ideas coming in per week. Then when they get access to the data it takes time to iterate on the study design and analysis. Now that, why does it take time? It takes time because they don't have direct access to the tools to do the study design, to do the analysis, get the insights themselves and iterate on that process. On top of that, most of our researchers don't have protected time to do this work. They're doing this because of their professional interest and because of their curiosity and because they want to contribute to the knowledge at the VA and in the community as a whole. So let me introduce you now to the MB clone Adams platform. Adams is an acronym. The first A stands for ask. It's the query engine inherent in the platform that allows direct query by the clinical researcher. The D stands for discover. So researchers discover their insights through exploratory data analysis tools within the platform and they get insights through inherent statistical tools within the platform. This allows them to go from getting those insights back to the query engine and refine their process and their study design. The second A in Adams, the act, stands for the ability to take action on insights, action on certain patient care insights that they get, pathways that they discover can be changed. And the M and the S stand for measure, measure the impact of the action that they took and share those insights with other collaborators within the VA or other research groups. The MD clone Adams platform is housed within the arches innovation ecosystem. And Amanda had stated that this is within the walls of the VA that keeps the data secure. So now let me talk about why clinical researchers use the MD clone platform and how these challenges that they face are overcome because of the unique features and capabilities of the MD clone platform. You'll see this pyramid that builds in the talk that I'm about to deliver in the next few minutes and it'll lay out for you very clearly why they use the MD clone platform to go from an idea to their final outputs of taking actions. First of all, the breadth of data. Speakers prior to me have alluded to the fact that there's 25 million patients in the Data Lake. We have access to the same breadth of patient data that comes from the CDW or the corporate data warehouse. And then what we do is we've curated and categorized this data in the various domains of interest that clinical investigators are very well familiar with. All the different types of encounters, conditions, problems, diagnoses, measurements, lab results, every normal domain that clinical investigators use for their researches, for their quality improvement, and for their innovations. We build in a lot of semantic knowledge into the data that we've curated, meaning this hierarchical representation and categorization where needed, for example, under problems and diagnoses. So the ICD conditions have hierarchical representations there so that you can choose from the lowest level of granular information to groups and categories of information under problems or conditions or diagnoses. Not just that. We organize the information longitudinally. Clinicians think of their histories, the clinical histories that they're dealing with, longitudinally. What happens in time? Everything in a patient's life or a population's timeline is along a linear time span. Something happened in a certain year at a certain time, whether it's a diagnosis, whether it's a lab result, whether it's a procedure. So that's how we're organizing our data. So it's simple to think about. You don't need to think about the tables from where this information came, where it lived. We provide those definitions within the platform itself. The queries that investigators build are fully customizable. They do it themselves. And there's a repeatable study design that they can follow within the platform. They do it once. They can share it with other people. They do it once. They know the process of the platform enables them to do without missing any steps. There's steps to studying these and defining these variables, including not just what the variable is but when it happened and what output you want in the final output to get your insights. That's the platform almost forces you to do that so that you don't miss a step. And this is all through a friendly user interface. Something that you don't have to learn or think about. All our investigators have gotten as soon as they get access, they're able to start interacting with the data directly. Not much learning except for familiarity is required. Not much training. And even if they do, we're available to provide that support. It's only for them to get familiar. Probably takes a couple of hours on the same day as they get access. No coding skills either. So that's a big plus that all our investigators have talked about. Everything is in the platform. It's all in one. You query from within the platform. You gain your insights and discoveries from within the platform. And then there's also natural language processing within the platform. So when investigators need unstructured data and they need to analyze that, well, they can target certain phrases from within notes, from within reports, such as pulmonary function tests, such as echocardiograms. It's only when you extract certain target data elements and make them structured that they're useful for analysis, that they're useful for direct discoveries and insights. And we have an NLP studio within the platform that allows researchers to do that directly based on their own rules, based on their own judgment, based on fit for purpose intent. And then right at the top, they can use original or synthetic data. Synthetic data. I'll talk a little bit about what synthetic data is to make it clear. Synthetic data is the counterpart of the original data. The word counterpart, very important, it's not different from the original data, but it's statistically completely the same as the original data without any identifiable individuals in that data set. There's no IRB needed for investigators to get access to synthetic data. And synthetic data with proper approvals and agreements in place can be shared outside the VA. So that's why people, investigators, clinical researchers, use the NLP platform and more and more are getting enthused to do so. It's a complete paradigm shift in the way they do their work. This diagram illustrates how they can go rapidly from project idea to the endpoint of their project. They iterate through study design using synthetic data, evaluate feasibility of their idea while they're considering an IRB. As soon as they're confident about an IRB proposal that's required, or maybe a QI proposal that's required for getting to the original data, they can immediately turn the design that they've already done in the platform to now extract original data and then quickly proceed to get more insights, take actions for QI projects, or publish their studies. This several projects that clinical investigators are doing using the MD clone Adams platform, several different specialties, neurology, cardiology, endocrinology, and many of them will talk to you now and stewing presentations, at least three of them. And we can have more sessions like this and follow up contact points to talk about the various projects. Dr. Lee now has alluded to open challenge projects that are complex projects with large synthetic data sets that have been created in collaboration with MD clone for mission daybreak, suicide prevention, or the VCHAMP's open challenge for improvement in heart failure outcomes of the veterans population. Lastly, I just want to talk about certain key points that most of our clinical investigators have benefited from. Rapid speed from idea to value, easy iteration of their research design and their questions, and an anesthesiologist team from the Richmond VA, they've told us that they've waited for years to do this. They wanted to study outcomes from intraoperative interventions that occur, but they haven't been able to do so because of lack of direct access and the ability to interact with clinical data. They've also taken special data from the Pisces anesthesia system and integrated that with data from the CDW. So we'd like to talk more, interact more with everybody here and those that you would like to pass this message on to. We'd want to demo the capabilities of the environment, start interactive and collaborative projects, and spread this not only across Arizona, but really nationwide. We can do 50X to 50 to 100X of what we've done so far. Thank you so much. Thank you for your time. This last slide is important because we'd like you to contact our customer success partner. Her email address is here. It's malini.chrishnamurthy at va.gov to learn more and for follow-up questions and collaborations. Thank you so much.


Hello friends, I am Sanjay Gupta. In this video, I am going to demonstrate you how you can create one D array dynamically in C++. Before starting, you can note my information, you can connect with me by following these details. You can download my app TechMS that is available on Google Play. If you want to watch more programming related videos, you can search Sanjay Gupta that is my name on YouTube. My channel will be available. You can see it. It is visible here. If you click on this icon, you can see all the playlist related to various programming languages are available here. You can select any playlist, whichever you want to view. You can also subscribe my YouTube channel by clicking on this subscribe button. Now coming on to the topic. In this video, I am going to demonstrate you how you can implement dynamic one D array in C++. First of all, I am including a header file IO stream. Then I am using a namespace that is STD. It is predefined in IO stream and it is for scene and see out. Now name of classes vector in programming dynamic arrays are known as vector so that I am using vector as name of class. Now I am declaring a pointer p and a variable size. Inside public section, I am declaring first function set size, second function destroyer, third function is read and fourth function is print. After termination of class, I will be implementing definitions of these functions. So first function is set size void is return type. Then I have to use name of class because I am defining these definitions outside the class. This scope resolution operator is available. Then set size is name of function. Inside this function, I am going to implement the code which will create dynamic array. First, I have to read size of array from user. So I am implementing see out which will display enter size messes. Then size variable will see the size from the user. Now p equals to new int size. This statement will create dynamic memory. So new is an operator which will create dynamic memory of integer type and size will be provided by this size variable and the beginning address will be assigned into p. So this way we can create dynamic array and this dynamic array is 1D array. After this function definition, second function is destroyer. So void is return type, vector is name of class, then scope resolution operator, then function name destroyer. Here I am using delete operator to delete the dynamically allocated memory. So this deallocates dynamically allocated memory. So with the help of this set size function, I have allocated dynamic array and with the help of this destroy function, I have deallocated dynamic memory. Now I am implementing third function that is read. Inside this function, I variable for loop counter. Then loop is starting from zero and it will repeat till this condition is true. That is I less than size. Here size variable is used because size is provided by the user. So I can't use any constant value here. Then c in p of i. This is read function. Now fourth function is print. Again I am declaring i variable. Then for loop starting from zero condition is I less than size. Here I am implementing cout which will display elements of p of i and I am mentioning and L and L is for line termination. So these four functions are defined successfully. Now I am implementing main function inside main. I am creating object of vector class that is v. Now I am calling v dot set size then v dot read then v dot print and v dot destroy. So all four functions are called here. At last I am returning zero because return type of main is integer. Here I am also passing a message enter values and before print you have entered this message will be displayed and then line will be terminated or change using and L. So friends this is the complete implementation of the code. You can see I have implemented four functions. First one is set size second is destroy third is read and fourth one is print. All the functions are called inside main function. Now I am going to execute this code. It is asking for the size. I am entering five. Now I have to enter five values. So I am entering one two three four and five. You can see it is showing you have entered one two three four five. This time I have created array for five size. Again I am executing this code. This time I am entering seven as size. So now I have to enter seven elements and it is reading all the elements successfully and it is displaying all the elements back on the console. So friends I hope you have understood how you can create dynamic arrays which will receive size from the user and according to that size memory will be allocated. Elements will be entered and the elements will be printed back on console. You can apply any other operation like addition subtraction that I will be demonstrating in my another videos. If you want to watch more programming related videos you can subscribe my YouTube channel that I have already demonstrated you how you can search my YouTube channel on YouTube. Thank you for watching this video.


Okay, I welcome you all once again to my channel explore education and the I am going to discuss today the last topic in the main heading intelligence the Indian test Indian adaptation of intelligence test that is Bhatia's battery of performance tests of intelligence, okay. And then I am Dr. Rashmi Singh assistant professor department of education SS Khanna girls to be college University of Allahabad it is my email ID the video will be in bilingual mode and it must be useful for various teaching examinations and please do subscribe my channel too so that you can get my future videos too. Let's start. First of all Bhatia battery. Why are you calling it a battery? Because there are many sub-tests in it. Performance test We have talked so much about intelligence that you know that non-verbal tests are also called performance tests because there is no need for language, only your performance is seen in it. So who is the one who makes it? Mr. Chandramohan Bhatia, former director of Uttar Pradesh, Manavigyan Shala constructed this test for Indian population in 1955. That is, when David Weschler made the first test of intelligence, W-A-I-S, then Bhatia's battery of performance tests of intelligence is also, sorry, it is one of the popular tests of intelligence in India. This is a very popular test in India. Despite some of its limitations, the battery still is one of the favorites among many psychologists. There are five sub-tests in it, course block design, Alexander's pass-along test, pattern drawing test, picture construction test and immediate memory test, B-D-P-A-P-D-P-C-I-M. So these are five sub-tests that make Bhatia's battery. Okay, so let's see one by one. Course block design test. What is this first? It is a design of a block. So what is in it? This battery includes 10 designs from the original, 17 designs from the course test. That is, this is what Bhatia sir has made. This is made by the coach. Out of those, he has taken 10 designs from his 17 designs. Then what happens in this? Time for the first five designs is two minutes and for the remaining five, the time is three minutes. That is, we give the subject, subject, student the first five designs for two minutes and the remaining five designs are given for three minutes. So what is the purpose of the design? The cards, sorry, the cards, the variety of colored designs are shown to the test taker. You can see a lot of cards and these are its blocks. So what happens is that colored design is shown to the test taker. And what is it said? Ask to reproduce them using a set of colored blocks. It is shown to the design and blocked and it is told that you have to make this design. And performance is not just on the accuracy of the drawings, but also on the examiner's observation of behavior during the test. We will not only find the size of this thing that you have made it perfectly, but also because the examiner, the test taker, is also observing your behavior during the test. And the designs become progressively complex. That is to say, it gives you two minutes for the first five, three minutes for the next five. This means that the design is getting harder and harder. Okay, so there are ten designs in the course block design, in which the original 17 was taken out of it. The pattern is shown to you, the design is shown to you, it is blocked and you have to make the same design. And how much does it mean in two minutes? It means quickly. Okay, then Alexander's Pass Along Test. This is made by William Picken Alexander in the year 1937 at Edinberg University. In Edinberg University, this test was made in 1937. Alexander's Pass Along. And what did he do? All the designs of the original test are included in this battery. In this battery, all the design that Alexander's Pass has, is taken out. Then the test taker puts the blocks and trays in a wooden box. This wooden box has blocks and trays in front of the subject along with the card in which a combination of blocks and trays is represented. That means the subject shows the card in which the combination of blocks and trays is shown. Then what the subject has to do? The subject has to arrange the blocks in the box exactly like the one shown on the cards. That means the way the card is shown, it has to make the same design which is given to the block. The subject is only allowed to slide the blocks and cannot pick them up. This is a special thing which is not in the course block design. Pass Along, you can pass it, you can shift it, but you cannot pick it up. The subject has to arrange the blocks in the box exactly like the one shown on the cards. As shown in the card, it has to make the same design, but the subject is only allowed to slide, to shift, to push, to pass along the block. We can only move the blocks and cannot pick them up. This is a special thing which is related to this. The first four of these have to be completed in two minutes and the rest of the four have to be completed in three minutes. The last four have to be completed in two minutes and the rest of the four have to be completed in three minutes. The course block design has been completed and the subject has to pass along. Now what will be the pattern drawing? This test is constructed by Bhatia. This test is constructed by Bhatia. This test includes eight cards. Every card has a pattern. This test includes eight cards. Every card has a pattern. Every card has a pattern. Every card has a pattern. Every card has a pattern and the subject is required to draw these patterns in one go without lifting the pencil. The time for the first four cards is two minutes. The subject has to stop the test when failure has been recorded twice in succession. If we make two mistakes, then we will be stopped from doing this work. That is, we will not proceed ahead of this test. So this is the pattern drawing. What is the pattern in this? We have to draw the pencil. We don't have to lift the pencil. Then picture construction. What is picture construction? There are five subjects in which pictures related to the Indian rural life are fragmented into two, four, six, eight and twelve pieces respectively. How many are you seeing in this? Three and four and twelve. There are twelve in which we will get five pictures. We will get a picture set in which two parts are broken, four parts are broken, six parts are broken, eight parts are broken and twelve parts are broken. We have to combine them and make a complete picture construction. At one time, pieces of a picture are placed before the subject who puts them in order and constructs the picture. It will be given to us that this is not the type of block that children make. So we have to fit it in the right way so that we can immediately make a picture. Just earth upon. The time for first two pictures is two minutes and the rest of three pictures is just three minutes. The first two pictures get two minutes to make the first picture and the next three pictures get three minutes because there are five pictures in it. In case of failure, record not only failure, but the number of pieces the subject was able to fit in correctly with the time limit. Meaning, when the object is unsuccessful, then we don't just have to see that it was unsuccessful. In fact, we also have to see how many pieces it was able to put in that time limit. We will get the number according to that. Okay. And then the fifth test is the immediate memory test. That is, how much we can recall as soon as our memory is so sharp. So this test has two parts. It has two parts, digit span forward and digit span backward. From the name itself, you will understand that we have to digitize as it is. We have to tell it right away. For example, one, two, three, four, five, six, seven. We have to tell it once and once, seven, six, five, four, three, two, one. The test taker is required to repeat the number of examiners. The examiner will repeat the test taker. The number of digits is increased on every trial. For example, for the first time, it will be 2, 4, 6, 8. We have repeated 2, 4, 6, 8, 8, 6, 4, 2. But next time, our ink will increase. The digit span will increase. It will increase again and again. Because every time, the test is getting harder and harder. The complexity is increasing. The test is continued till the subject repeats. It's successful in the same order. This is digit span forward. Till then, you will be asked. Till then, you will be telling the correct test. In the backward recall, the numbers are repeated in the backward position from the last to the first. From last to first, we will have to tell the backward in the opposite order. This recall is also continued till the subject successfully repeats the sequence. Till then, you will be asked. It has three alternative sets. If failure is recorded in the first set, try the second and third alternative. There is no such thing as, if it is asked once and we didn't tell it, then we will fail immediately. There are three alternatives. If failure is recorded in the third set, then we will try the third set. If failure is recorded in all three alternatives, if we fail in all three, then the final failure is recorded and one must stop. Then it will be considered that we are not able to score in immediate memory and we will have to stop. Okay. Now, we have come to know that Bhatia battery was made in 1955. Chigar Mohan Bhatia Sahib made it. There are five sub-tests. Alexander Paselong, pattern drawing, picture construction and immediate memory. Then, what is its description? How is its standardization done? There are five sub-tests. They have been in villages and cities for four years and have been standardized in cross-cultural settings. Then, how much has the split half reliability come out? It is not very good. And it was valid but it was okay. Then, correlation with other intelligence tests is seen in terms of 8-2. That is to say, how much is its consistent connection with other intelligence tests. Then, the total maximum time it takes, it will take about 45 minutes to get it somewhere, because you get it in 3, 2, 5, 3, 2, 5, all of them. You must also be given instructions, so you get it in total and it takes 45 to 60 minutes. And how secure can you be in total maximum score, it is 95. Okay. This is the description of the Limitations are very popular. What are its limitations? First of all, it has norms only between 69 to 131 IQ points. That is, it does not show a range of less than 79 and 131. That is, you cannot measure extreme cases with this. Then it was standardized only on boys. This is also seen when it was made. It was released in 1955. It was done around 1950 for 4 years. That is, it was standardized from 1951 to 55. That is why at that time, girls were not so mature that it was not the right time to go and test them. That is why it was standardized on boys. Then, of 11 to 16 years of age only, they have not even tested the boys of 16 years old. They believed that after 16 years of age, the wisdom is almost steady. So, you cannot believe this to a certain extent. Then, that is why 16 years of age is also taken on adults. It was very standardized in the 1950s, 50 years before 2000 and now it is from 2022. That is, 72 years of old standardization. So, it has become very old. What are the means of these norms? What must have remained important at this time? Then, that is why it was tried again in the 1990s because it was so old at that time that we have to standardize it again. But this was not able to be done in the best way. You can say that it was not published, it was not popularized well. So, there are such limitations. In spite of this, it is very popular. Why? Why so popular? It is a performance test. First of all, it is non-verbal. There is no need for language in it. And hence, it can be administered to people with language incompatibility and poor verbal abilities. That is, those who do not have language knowledge, who have a problem with the language, you can administer it on them. Then, it can be used in some cases to children suspected of specific learning disability. If the subject is a subject, you can administer it on a particular type of learning disability. These are tests are interesting. You see, there is a block, you have to mix it, you do not have to pick up the pencil, you have to make the picture. So, it is a play-way method type of interesting. So, students are motivated to do it, they show interest. That is why it is so popular. Then, it is a very special thing in it, which is not in any other intelligence test. It is a separate set of norms for illiterates and illiterates. Which apparently seems appropriate given the illiteracy rates in the country and hence, appeals to substantial number of the professionals. So, they have separated the norms of illiterate and illiterate in the test. The norms of illiterate have been separated. But, we also know that only literacy intelligence is not affected. There will be many other factors that will be affected. So, it is just because there are illiterate and illiterate norms, that it does not even sit properly. Okay? But it is popular still. It is easy to administer and score, it is easy to administer, it is also easy to score. All these things make this test so popular. Then, what should we conclude on the battery? It is probably one of the pioneer tests of IQ that dealt mainly with performance of tests. Then, one of the important aspects of the test administration is that during the administration, if the subject is unable to complete the task within the time limit on any of the levels in the four performance of tests, the examiner demonstrates the correct procedure of doing it. Before proceeding to the next item of the test, this peculiarity cannot be found in any other intelligence test. So, this can actually be considered as one of the best methods to check the actual ability of the person and how well he learns and makes use of the information taught or the feedback. Then, we will definitely want to say that its major positive point is actually its serious limitations too. That is, limitation to that it is separate norms for illiterating rate ones. So, in this way, I am sure that you will be able to see the results of the test. So, this is a serious issue and concern of the battery that whether it is good or not so good to put two norms, two separate norms for illiterate and illiterate ones. So, in this way, I am so happy today that I have covered the concept of intelligence in utmost totality. So, thank you all and don't forget to like and subscribe my channel, explore education, enjoy my daily life too.


If someone is arrogant and bossy, you may think that they're likely to be a narcissist. But what about someone who's reserved, anxious, and quiet? There's a difference between narcissism and narcissistic tendencies, after all. Just because someone is arrogant and bossy doesn't necessarily mean they're a narcissist. And having these certain personality traits does not constitute a diagnosis. But narcissism actually comes in two forms. Overt narcissism and covert narcissism. At first glance, you probably wouldn't even realize someone is a covert narcissist because of how much more reserved in nature they seem to be. Remember this video is not made to attack anyone who may display these signs, or anyone diagnosed with NPD. But rather to understand them and bring more awareness to the topic. This video is also not made to diagnose anyone with NPD. With that said, these are 7 signs someone is secretly a narcissist. Number 1. They often act passive aggressive. Do you know anyone, maybe a friend, family member, or colleague, who often acts passive aggressively to manipulate others and get what they want?   Covert narcissists have an unrealistic sense of entitlement and want to demand special treatment from others without actually asking for it. Number 2. They're easily envious of others. Whether we like to admit it or not, the truth is, a lot of us struggle with feelings of jealousy and envy towards others. But for most people, this is because we can't help but compare ourselves to those around us and feel down when we don't think we measure up. For narcissists, however, their feelings of envy are excessive and rooted in the idea that they are superior to everyone else, so no one should ever outshine or outperform them. They resent other people for having the things they feel that they deserve more, like wealth, power, success, and popularity. And because seeing others exceed gives them feelings of inadequacy, a narcissist will often try to downplay the accomplishments of others. Number 3. They hold a lot of grudges. Narcissists tend to hold a lot of grudges against others because they hold themselves in such high regard. So anyone who treats them with anything short of worship and unending praise is going to end up on their blacklist. Now, a narcissist might not say anything at the moment, but they may already be seething with rage on the inside. Number 4. They are highly sensitive to criticism. Remember what we said about narcissists having a superiority complex and holding themselves at an unrealistically high regard? Well, another way this can manifest is by being overly sensitive to criticism, especially for introverted narcissists, as introverts tend to internalize their feelings more than extroverts. And while there are a number of reasons why someone would be highly sensitive to criticism, such as being a highly sensitive person or struggling with low self-esteem or narcissists, it's because any criticism can damage their perfect, idealized view of themselves. They can't come to terms with the fact that they have flaws and make mistakes too. Number 5. They have false modesty. Narcissists need and desire lots of admiration from others, and covert narcissists might try to get this by putting on a false sense of modesty. They put themselves down as a way of fishing for compliments and try to downplay their skills and successes in ways they don't really believe. Number 6. They have self-serving empathy. A narcissist might seem like they're your friend, comforting you when you're down and cheering you on when you're happy. However, narcissists are self-serving and masters of emotional manipulation. They're only empathizing with you because they want others to see them as someone kind, caring, and compassionate towards others. For example, they give money and food to the homeless only when there is someone else there to admire them doing it. They don't really care about other people except for what they think of them. Number 7. They think no one understands them. Last, but certainly not least, playing once again into their ideas of superiority and specialness, covert narcissists will often complain about no one else being able to understand them. And while you might feel bad for them at first, what they really mean is that they see everyone else as beneath them and struggle with being so much better than those around them. They will often remark about things like how they're so ahead of their time that no one else could ever appreciate their genius. So, did anyone in particular come to mind? Do you think someone you know might be a covert narcissist? While we're definitely not saying that any of the signs we've talked about here, like feeling jealous of other people, feeling misunderstood or being sensitive to criticism, automatically make you a narcissist. It's important to understand that narcissism is so much more complex than what it's often made out to be. Spotting a narcissist isn't always easy, especially when they're masquerading as someone who loves and cares about you. Did you enjoy this video? Please like and share it with friends that might find insight in this video too. Make sure to subscribe to Psych2Go and hit the notification bell for more content. All the references used are added in the description box below. Thanks for watching and see you next time.