Hey everyone, it's Gabrielle. I'm over here today at Oxmer Toyota So you guys I wanted to take a minute and talk a little bit about this car now. This is the 2021. It's the Toyota Camry It's a TRD So the first thing you're really gonna notice is this color. It is gorgeous and it's called ice edge Now it is that TRD so it has the two tone with that black. So you've got the black metallic roof Which is just gorgeous So this is the only one in the state of Kentucky right now. So very rare Now those wheels 19 inch black alloy matte wheels really really nice So the black accents you're going to have on the mirror caps like I said, you do have it on the roof You have it around the windows There is the black spoiler Now coming around to the back You have the Camry in the black and then you have the TRD in the red and then there is dual exhaust If you want to move down there, so there's gonna be some nice sound coming out of that All right guys, let's jump on into the inside real quick So in the interior you have a black soft-tecked leather seat There's the red accent So you have the red stitching if you look up on the top of the headrest you have the red TRD logo right there and what's really cool. You have red seat belts So that really sporty feel with the red going on now. You do have a seven inch touch screen There is six speakers. So you have Apple CarPlay Android Auto. There's a backup camera You have all-weather floor mats. There's the racing pedals And lastly if you just want to look at that dash you have that red just really screams TRD Very sporty. It's just a beautiful vehicle all around Alright guys, so this is the beautiful 2021 Toyota Camry TRD in this beautiful color of the ice edge Like I had previously mentioned, this is the only one in the state of Kentucky So it is going to go extremely fast So if you have any questions if you'd like to stop in let us know all of our contact information listed right here Thanks everyone for watching and hopefully we'll see you all soon. Bye guys


So staying within my mainstream finance but moving from private equity to banking I'm excited to have with us today Keith Mestrich the president of amalgamated Bank Which is recently integrated new resource bank to become a nationwide socially responsible bank and keep has another Announcement to share with us today on the so cap stage. So please welcome Keith Mestrich Thanks, Lindsay. Good afternoon everyone So this is the first part of my announcement and it's something that will take none of you by surprise and that's that we have a Climate crisis in this globe big surprise, right? Could tell you something else that Won't surprise you at all We're only going to take care of it if all of our institutions Governments and nonprofits and for-profit companies figure out what they're going to do about it and individuals take Responsibility to figure out how they are going to make their contribution to dealing with the climate crisis that we have in this country So the question that we've put before ourselves at the amalgamated is well What can we do as a bank and as we've thought about that we thought well? What do we do that actually contributes value on to society to society more generally and at large and that's what we do with the Deposits that all of you put in our institution and when we lend them out How do we actually make impactful loans that actually make a contribution to society and what we at amalgamated bank announced earlier this morning? Is that we were not going to just take that? Very you know dear deep responsibility that we have to make loans to drive value for our customers and for society Lightly anymore that we are actually going to begin the process of evaluating every loan that we make every investment that we make in our Security portfolio and measure the impact that it has on climate in the country And we were very proud to announce this morning that we will be we will be the first bank in North America To lead a consortium of other banks that will actually measure the impact of our loan portfolio Using the science that underlines the Paris climate court It's it's something that I think is really important to do. It's a place where we can make impact We're not the world's biggest bank, but we have a three and a half billion dollar loan portfolio That's three and a half billions of loans that we are committing to not actually be part of the problem to not contribute to the climate crisis To not you know make the carbon footprint in this country even worse than it is today But we are going to actually try and do that and hopefully by example that we will lead So that other commercial banks across the country do the same thing and think about their lending portfolios So that over time we can actually assess what we are actually lending money for and actually make sure that it's doing Something good in this world as opposed to contributing to the existential crisis that we have That endangers the lives of not only all of us, but more importantly our children So we aren't going to do this alone. We're doing it in conjunction with a number of other banks We are part of the global Alliance for Banking on Values here in the United States. We're doing it in conjunction with many of our European Colleagues that are that are actually ahead of us in assessing what's actually happening and most importantly we're doing it in Cooperation with many of our clients. That's our clients who actually are driving us to do this This is what they want They want to have an institution where they know when they put their dollars in the bank every night that it's actually going somewhere That's contributing to something good and not to something that's contributing towards that degradation of the planet So we're very proud of this today We're very proud to do this with our customers and we're proud to announce that here at so captain let all of you know That that's that's something that we're working on. Thank you


Hi there people how's it going? Is yours truly wants to end up with this and today I actually just decided to bring you guys outside so that we can just have like Just to have a little conversation today I actually want to reflect on the day that actually not the day wasn't an actual day But the period at which I took a one thousand dollar account to about ten thousand dollars. It was it was It was absolutely huge, but before I do that. I just wanted you guys to kind of see where I'm chilling at the moment. This is It's a bit sunny today, but guys just look at how beautiful this place is It's absolutely amazing. So yeah I'm just gonna be Having a conversation today How was able to flip that account like from 1k to 10k that's huge This was a while ago. I did this so Today I want to share with you guys my experience How I was able to do this and what I learned along the way while I was flipping this account, right? Pardon me. It's quite hot outside Dubai is quite a hot country. So, you know, I can only come out when the weather is great, but now The weather seems to be looking just fine. So guys this this this incident pretty much happened like in 2015 You have to understand that I had just discovered the top-down analysis trading methodology Just discovered it and I was very excited All my trades were clicking all my trades were banging. I was making a significant amount of money, you know, and I was happy like life was good So what I decided to do was I decided to say, okay, I was trying to test myself I thought like I was in control. Sorry guys. You can hear the kids Screaming they're just having fun. Everybody's having fun in Dubai. Everybody has fun in Dubai It's a beautiful place. That's exactly why I moved here. So, you know, I decided to take $1,000 and I wanted to see how far I could take the $1,000, right? So I started trading Positive the money to my trading account was trading everything was going fine For every trade I took I was making like $500 one case So I was literally doing 50% to 100% on every single trade and you have to understand that I Just not just figure it out, but I just got into a point whereby I could understand Exactly what was going on in the market and everything was going pretty pretty well Now I'm taking this account from like 1k. I think it was about I've gotten to about $8,400 The market was trending very nicely now for those of you guys who are going to attempt to try and flip their accounts Always try as much as possible to ensure that the market conditions are trending because when the market conditions are trending It makes it a lot easier for you to flip your account Because for every trade you place is almost mostly going to work out for those of you guys who do not know the market actually trends 40% of the time and 60 the remaining 60% of the time the market is ranging and just not cooperating, right? So at the time I had done my top-down analysis I had found out that the market was trending everything was going well In our just all I needed to do was literally wait for retracement and sell So when it's market falls, I just wait for a pullback and then once the market is about to drop again I will jump into a sell position now the euro USD was falling overnight USD all the dollar base base pairs were trending really nicely it's 2014 2015 and I've gotten to ten thousand dollars like I've traded. I was even trading where the currency pairs You know JPY JPG good pairs. I'll never trade on a normal day knock sex. I was trading that as well and You're not going to $10,000 now a part of me was saying now guys You're gonna learn a lot of things from this story a part of me was saying, okay dabs Just take out even just the one key. Okay. Take out 5k. Okay. Just take out take out take something out But there was another spirit that was pushing me You can go for that take this 10k to 100 if you could I'll send to myself if I can take this money from 1k to 10k best believe I can take it from 10k to 100k. This is what was playing up in my mind So I got to 10k. I saw the money there. Everything was fine I had successfully taken my account from 1k to 10k now I was not trying to take this account from 10k to 100k and that's exactly when I Went and so what happened was at open multiple positions, right? My account my equity at the time wasn't just $10,000 anymore I was pushing about $28,000 plus in equity, right? There's even team balance and equity, right? So I was on my way to 100k like I could feel it, right?  It was absolutely amazing and I Had like five positions open at the time Euro JPY USD card long Euro USD short long story short. I had seen on Forex factory that FOMC was coming out, right? I've seen on FOMC that I've seen on Forex factory that FOMC was coming out but I just felt like you know what how How deep could this market retrace against me, you know I was just like this FOMC and don't forget guys FOMC except a Very important announcement is made by the Federal Reserve chairman who at the time Her name was Janet Yellen. I can never forget this day in my life So I'm like, you know what how deep can this market retrace against me like what's what's the worst that could happen in this situation? Ladies and gentlemen man At the time I think I was having a coaching session Okay, I wasn't coaching I was just showing a couple of my friends trading and stuff like that And I was in my living room. My training station was upstairs in my room. I was in my living room and You know what like I Was I was my training session was upstairs I was downstairs sharing my screen on my TV just showing people like all the stuff I'd learned everybody was learning Everybody was excited. Everybody was making money and I just opened up the charts like I Couldn't believe The way the market had reversed guys the market reversed in my very before in five minutes the market reversed 250 pips the market went and wiped away all my gains from 28 K By the end of that day, I was back down to ten thousand dollars now You're probably saying to yourself ten thousand dollars isn't that that like, you know, it happens to everybody. All right, fine Now you have to understand something that okay I'm taking this account from now from one K to 10 K and now 28 K and I want you guys to learn something from that Where I just said there, right? You might often hear me say don't have multiple positions open because you don't want you know, just just Transfer your risk If you have one position open before you open another position always ensure that your first position Your risk has been transferred from the first straight to the second straight Basically, if I'm in Euro USD buy for instance, I have to ensure that I have I am completely risk-free I'm risking three percent. I make sure that I have to remove my stop loss is to break even before I get into another trade Basically transferring risk from this straight to this straight and showing that my risk always stays at three percent Now the reason why I always preach that is because of this incident that happened in my life I had five trades open within those five trades. I had a net Profit of $18,000 don't forget I had 10 K my equity was not 28 K. So the difference of 18 K. So I had 18 18,000 freaking US dollars floating floating Floating that I could have just closed And I believe you me in the span of how many minutes the market had reversed 250 pips now Because of the fact that there were so many trades open at the same time Ladies and gentlemen, I just couldn't I just couldn't give every single trade Like is required attention because for every trade I had gotten into don't forget my analysis was spot on everything was fine For every trade that had gotten to I had where I wanted my take profit to be I had my contingency plan I had plans for every single trade. Sorry guys. It's time to get a bit dark Let me make sure that you guys can still see me a bit Yeah, so I had contingency plans for every piece of it right now So I had contingency plans for every single trade like every single trade I had a plan for it Guys like just because I couldn't pay attention to couldn't give every single trade It's required attention. I blew 18k on the spot Like I didn't know whether to leave the trades open or to close them I was closing trades prematurely the market the market reversed 250 pips, but because I was panic closing The market now went back up and at the end of the day the reversal was only about a hundred pips I'll take that again It reversed 250 pips and I panicked and I close everything and then at the end of the day the market still went back up And at the end of the day the reversal was only about a hundred pips So if I had just waited I would have still been able to keep my 18k, but that's not the end of the story Now fast forward to the next day.  I wanted my money back Yeah, I mean like I wanted my money back and Guys, I just started making bad trading decision after bad trading that night. I got into another trade noc sec I didn't even pay proper attention to the trade. I got into the trade But I woke up the next morning. My account had gone from 10k to 8.5 now. Whoa Whoa Somebody's got my money now. Whoa. Whoa Somebody's got my freaking money I'm thinking brah. What exactly is happening? What am I gonna do? You know, I was I was pissed off and that's exactly how I went and I was getting into Bad trade after bad trade now this whole period taught me a lot of things A lot of things that I share with you guys on the channel how I'm so Effortlessly profitable you guys see me analyze the chart Easy it comes easy to me. It comes easy to me because I've lost money doing the wrong things before now Once my account got back down to 8.5 You know, I started getting into bad trade after bad trade now You have to understand something what had happened actually in hindsight was the fact that I was making a lot of money The market was trending Because the market was trending. So at the time I thought I'd figured everything out But I failed to figure out something that was very important that I share with you guys But you guys don't listen and actually you guys don't pay attention to this the fact that After the market is done trending it would most definitely go into a range The market only trends 40% of the time and the remaining 60% of the time the market is what is ranging So what had happened was I'd made all that money in the trending market and then because of one silly mistake Had lost a significant amount of it, but I still had a lot of money to trade with now What what happened to me and this happens to all the traders that I see They now start revenge trading But the issue with revenge trading is because the market has just finished trending the market is going into a range So you start revenge trading in a in a ranging market This is what is killing most traders. You have to understand that a lot of traders do fantastically well on the demo They do fantastically well on the demo because the market is freaking trending Because the market is freaking trending But the moment they decide to go and fund their live accounts The market usually goes from a trend to a ranging market now It's not as if the market is haunting you. It's just the way it goes We trend and we range we trend and then we range. So this is why you always hear me Once I'm done right now. You notice from my trading that once I'm done once I'm done From a trade that has given me a significant amount of profit euro usd Gold gave me fantastic pips 2018 2019 2020 I was long gold made of us 7 000 pips plus gbp usd gave me fantastic amount of pips AUD usd all these pairs have given me significant amount of pips But you will notice something that once a pair gives me a significant amount of money I'm usually away from the market. I take off Because I know the next thing that's most likely about to come is a range Trying to make sure I'm central life. I know that the next thing So I'm never in a hurry to get into another trade after I just made money from a previous trade Why because of this shit that happened to me before in the past?  I have I manage millions of us dollars for my clients like the courses don't mean anything to me If anything at all, I'm actually helping you guys. So when I say these things you guys think oh This guy's just trying to sell it's called indicators signals. They don't work. Why I used to pay for signals Don't trade after you get into a winning trades. Oh, he's coming again. Well, how how what's he saying? I lost money doing that.  I hope I don't get like for that on youtube 1855 I need to edit that part.  I started training when I was 17 So you can imagine I've been for all the seminars all the imls I don't all that but the signals but the indicators but everything Made money lost money made money lost money made money lost money So when I come on here and I speak to you guys I speak to you guys from a place of Wealth of knowledge. I'm not here to compete with any trader. I'm not here to Try to show off my Lamborghini, which I will start showing off pretty soon because why the hell not You guys are not listening to me these days because I don't I don't show up flashy stuff So I need stuff to train off flashy stuff, but that's by the way So Once again, if you want to access the program, the link is going to be down below Forget about my rand. I think that's one of the most fantastic programs out there You teach you how to trade like a pro. But anyways, you know, like All these experiences have taught me to be a very conservative trader. It's not because I just don't want to trade. That's why sometimes you see me. I do an analysis and I tell you guys listen I'm not sure about this or I don't think I'm going to take this trade Maybe I haven't traded in like three weeks and you guys are watching my trader talk video and you're like this guy must be crazy Like he's not like he hasn't given us a trade call in three weeks The reason I haven't given you a trade call in three weeks is because I don't feel comfortable with the market conditions Guys, trust me There's a very thin line between trading and gambling very thin line And the thin line is called knowing when to stop A lot of traders struggle with knowing when to stop So yeah back to my story. What exactly happened to the rest? Oh, the lights are on What exactly happened to the rest of my 8400 dollars? Guess what guys? I started the market went to into a nasty range. What I'm going to do. I think I'm going to I hope I remember to put proper screenshots here so that I can show you guys some some some real some Put some pictures to what I'm saying, right? The market went into a nasty range bad range The range lasted for almost six months Oh That's exactly how my money went with that range My 1k that I'd even put in never came out and a lot of you guys are going through this I know I see the telegram messages. I get them. I see them. Don't forget my content is everywhere on the internet People come to me in confidence And I see the messages and you know, then again, I try and preach and I try and help people But most people I'm I'm I'm more attracted to I give you an example. I can put out a video now whereby I'm trying to advise you guys on trade less Hold trades more, you know trying to advise you guys on the best approach to forex And then I noticed that that video doesn't really do that well But then when I check all the people's channel when they're telling you Best 15 minute scalping strategy. Oh That video's done 50k views But my videos are only doing 2k views.  This is the fact Because of what happened to me. I I can flip accounts. I mean, I'm right nine out of 10 times I can't flip the account But I found out that's not the best practice when it comes to forex trading. Okay So guys I hope this story that I shared with you guys has been able to shed light on the fact that you're not alone when it comes to Flipping accounts unblowing accounts. It's happened to me and that wasn't just the only time happened to me severely Sometimes you're under pressure. You want to pay school fees. You want to pay rent You want to pay this and you're on that you feel like there's pressure on you And then what happens is you just start trading Madly and then greed comes into play and all that so in order to round up this video I want to leave you guys with two lessons first of all Trying to flip accounts is only going to you're going to make money But if you're going to flip your accounts try and take out redraws try and redraw some money I wish I'd withdrawn part of that money It's nothing to me now, but it hurts me then because I'd gone to check the bmw I wanted to buy at the time Try as much as possible rule number one try as much as possible to what redraw your money Secondly understand that flipping accounts is only temporary and it's only going to head in one direction Blowing that account so whatever thing it is you can take take it and get out Second thing is if you're going to embark on a flipping episode You want to quickly flip your account always ensure that the higher timeframes are trending And then feel free to go on your 15 minute 10 minute time frame And then you can trade as much as you want as long as the market is trending on a higher time frame You're good to go but the problem is a lot of traders don't really know when the market is trending And this is where the top-down analysis comes into play Once again, it's in the course If you want to flip the account you need to know what direction the higher time frame is going If not I take take it from you guys if the higher time frame is ranging The lower time frames will show you hell rough It would do with you. So guys Once again, that's my time if you want the forex mastery program The link is going to be down below if you found this video very helpful drop me a comment drop me a like and yes, it's um It's not dark in Dubai is getting dark. Just going to quickly show you guys again What outside looks like it's pretty beautiful Yes, it's amazing Yes, so guys, thank you for staying with me till the very end. I got my ipad here just about here I'm going to check some couple of charts speak to a couple of my investors Um at the time I'm making this video is towards the end of the year Speak to a couple of my investors They want to know how well the investments are doing trust me as you can tell from my youtube channel the investments are safe We have done about 73 percent return on investment so far They're happy with that and you know, everybody's happy and that's pretty much it. I don't have to I don't have to stress myself about paying out investors because I know and I trust in my trading strategy and I trust in my trading ability. So You know, that's pretty much it. I'm relaxed I'm chilled but do my trade when I need to trade when the when the opportunities arise You know a lot of people are running up and down helter skelter because they need to pay back their investors Shit can never be me once again guys. Thank you for sticking to the very end. It's getting dark here in Dubai I love you guys so much. Take it easy and peace out. Bye guys


Welcome to Spotlight Advanced. I'm Liz Wade. And I'm Colin Louser. Spotlight uses a special English method of broadcasting. It is easier for people to understand no matter where in the world they live. Paris, France In April 2017, a man invaded the home of Sarah Halimi. He called her hateful names and attacked her. He threw her from a window. She died after this attack. The man wanted to hurt Halimi because she was Jewish. In January 2018, an eight-year-old boy was attacked while walking to tutoring. He was wearing a kind of Jewish hat. In recent years, many Jews like Sarah Halimi and this eight-year-old boy in France have been hurt because of who they are. French government officials say that anti-Jewish beliefs are spreading like poison there. More and more Jewish people in France are reporting experiencing crime or hateful speech because of who they are. Crimes done against people because of who they are are hate crimes. President Emmanuel Macron of France responded to these and other hate crimes. He said, Every time a citizen is attacked because of their age, their appearance or their religion, it is an attack on the whole country. Why do hate crimes like these happen? How can France and other countries deal with them? Today's Spotlight program is the fifth in a series of ten programs. In this series of programs, we will look at ten ways to fight hate.  So the Southern Poverty Law Center, SPLC, has made this list of ten ways to fight hate in your community. On today's Spotlight program, we will look at the fifth way to fight hate in your community. Educate yourself. How can a community understand people who do hate crimes? How can they react to such violence and hate? The SPLC says that researching the facts about hate groups and hate crimes can be one answer. They call this educating yourself. When people have the facts about a hate group, they can fight hate. Communities must know about hate groups and hate crime before they can react to them and stop them. But knowledge can also help people stop hating. Hate usually comes from fear and understanding can defeat fear. A hate crime often starts with a bias. A bias is an opinion about someone who is different from you. A person often makes a bias because he does not understand people from another group. Often, we do not know people who belong to different religious or racial groups than ourselves. If we have never met someone from that group, we can easily form wrong opinions about them. These biases might be negative. Sometimes they encourage prejudices and hate. Every person has biases. Often, people do not even know their own biases. But they express biases in many forms. A person can express his bias in words or actions. The SPLC calls some incidents bias incidents. For example, a racial joke is a bias incident. Bias incidents do not involve criminal acts like beatings, starting fires or damaging property. Hate groups try to use and encourage the biases people already feel. In fact, hate groups are usually very skilled at spreading their biases. They use propaganda. Propaganda is bias information that people use to spread a particular message. These hateful messages can appear as a painting on the side of a building, on a paper hanging in a local store, or even sometimes on television or on the radio. Hate propaganda influences how people think of each other. It tries to represent groups of people as less than human. Slowly, members of a community begin to think that a particular group of people is not important or is harmful. Angry, scared individuals may attack the minority group. These criminals believe that their actions are accepted. They may even believe that they are doing good work. The SPLC says that most hate crimes are not committed by hate groups. They are committed by individuals, alone or in small groups. These individuals have listened to hate propaganda. They let their biases influence bad actions.  Any criminal act done against someone because of a bias is a hate crime.  It is a hate crime. Many areas punish hate crimes severely. But how do we stop hate crimes from happening? First, it is important to try and understand your own biases. What do you know about people who are different to you? The first step is to learn about people who are different to you. Try to understand them. Learn about them. When we understand and listen to each other, we learn to accept our differences. Continue investigating your own biases. Second, if you observe or experience a hate crime, try to find out if a hate group was involved. You can also research facts about the particular hate group you are trying to stop. What does the group want? What signs or symbols represent the group? Experts say that members of hate groups often want to divide communities. They want to separate a community into racial, ethnic or religious groups. They may want to give particular groups in the community limited rights. Many do not respect or recognize the authority of the government. And they try to harm people who oppose them and their ideas. When you know about the hate groups in your area, you are more prepared to fight against the hate they represent. If you have children, talk to them about how they should react to hate. Share information you have learned with your community. Information and education are powerful. When people have the facts, they can make better decisions. When people learn about other cultures, they do not feel threatened by them. Education helps people to understand the world and other people better. Hate and hate crimes cannot continue. Whole communities must join the fight against hate. We can all encourage tolerance and acceptance in our communities. This is the fifth program in a series of 10 programs on 10 ways to fight hate. This list is from the Southern Poverty Law Center. The Southern Poverty Law Center is a website that tracks and reports on hate groups, especially in the Southern United States. Here are their 10 ways to fight hate. Pressure leaders. Stay engaged. Teach acceptance. And dig deeper. Keep listening to Spotlight to hear the complete series. You can leave a comment on our website, or you can email us at contact at spotlightenglish.com. You can also find us on YouTube, Facebook, Instagram, and Twitter. The writers of this program were Liz Wade and Amelia Burglund. The voices you heard were from the United States and the United Kingdom. All quotes were adapted for this program and voiced by Spotlight. You can listen to this program again and read it on the internet at www.spotlightenglish.com. This program is called 10 ways to fight hate. Educate yourself. Visit our website to download our free official app for Android and Apple devices. We hope you can join us again for the next Spotlight program. Goodbye.


Hello everybody! Watch this video to find out how to recover data from a QMU virtual machine, how to create a QMU hypervisor in a Windows operating system and create a Linux virtual machine. Virtualization is the easiest way to run one more operating system on your PC without having to install it directly to its hard disk. Instead, the additional operating system is installed to a virtual disk, which is represented by a special container file. The most popular hypervisors are VirtualBox and VMware, and they both have a wide range of functions and an easy-to-understand graphical interface. QMU is a free open-source program designed to emulate various software products and operating systems. This tool uses hardware virtualization and supports a long list of architectures to be emulated. The first thing you need for installation is to download a QMU distribution for Windows. You can get it from the official website. You can choose between 32-bit and 64-bit versions. We need the 64-bit one, so choose and download the corresponding file. Install the program and leave all options at their default values. Just don't change anything and click Next. Unlike VirtualBox and similar hypervisors, QMU doesn't have a graphical interface. It can be operated with a command prompt only. Let's download an ISO image of the operating system which we will install onto the virtual machine. After that, we need to add the QMU path to the environment variables. To do that, open the File Explorer and copy the path to the folder containing the program. Then right-click on this PC and open Properties – Advanced System Settings. In the Advanced tab, open Environment variables. In the Field User variables, double-click on the Path variable, then click New, paste the path to the QMU folder that you have copied before, click OK to set the changes, and then click OK again to leave the settings. Before installation, you need to enable a specific Windows component – Windows Hypervisor platform – or the virtual machine may not start properly. Also, it is recommended to enable Hyper-V or HAXM accelerator to make the virtual machine work faster. To do it, use the setting Turn Windows Features on or off. Enable the platform. The list of commands and settings used to create and manage virtual machines is quite long, but you only need a few to start working. Launch the command Prompt as Administrator and begin the installation. For starters, let's create a folder for virtual machines. Then go to that folder with the command Prompt. Now you need to create a virtual hard disk of 15 to 20 gigabytes. Use the following command for this step. Where the setting F indicates the file format followed by the file name and the file size is given at the end of the command. Enter another command to create a virtual machine. It includes certain settings. The architecture. The boot disk. The virtual machine RAM size. The number of processors allocated for this machine. The path to the folder containing the program. The graphics. The sound. The virtual disk. The path to its ISO image. The time and network settings. When you enter the command, the QMU window appears. The virtual machine boots and the installation of the operating system begins. In my case, this is a banter. After the installation is complete and the virtual machine restarts, it boots with the operating system you have installed, and it is now ready for work. Also, there is another way to create a virtual machine with the help of the QTEMU graphical interface. One source utility for QMU is designed to simplify the process of creating and managing a virtual machine. Let's visit the program's official website, follow the link to GitLab, and download the installation file. Remember to enable such Windows feature as Windows hypervisor platform, if you forgot to turn it on before. This feature should be running, otherwise the virtual machine may not start. To do it, open programs and features, turn Windows features on or off. Install the installer and choose where to install the program. After the installation is over, put the program's shortcut on the desktop for your convenience and create a folder to store virtual machine files. When you start the program for the first time, specify the following settings. In the first field, the pass to the folder where QMU is installed. In the second field, the pass to the QMU.img file. And in this field, the pass to the folder where virtual machine files are stored. And then click finish. To create a new virtual machine, click machine, new machine, give a name, operating system type, select its version, and then click next. In this machine page, click next unless you need to choose a specific motherboard setup. After that, you should choose a proper CPU type and configure the graphics, sound and network settings. If you get the wrong CPU, the virtual machine may not boot properly. Now you need to choose the accelerator. The default choice is HAXM. Some computers may not support this technology, so I recommend to uncheck this box for HAXM and choose TCG instead. Then click next. Sometimes users complain that nothing happens when they start a virtual machine. This problem can be caused by HAXM, so it's always better to go for TCG to make sure the virtual machine will work on most computers. After that, set the RAM size for the virtual machine and create a virtual hard disk. Specify their disk size and type. Then click finish to complete setup. After that, right-click on the machine and choose machine settings. Access boot options and check the box for a CD-ROM. Then bring it to the top and enable boot menu. Then jump to the media tab. Click on the disk icon and give the path to an ISO image file of the operating system. And then click save. Select the virtual machine and click here to start it. The QMU window opens and the operating system install reboots. When the installation process is over, the virtual machine will be ready to use. Alright, we have just explored the process of installing QMU and creating a virtual machine. But what should you do if, for any reason, you lost access to your virtual machine, deleted the machine files by accident, or lost some mission-critical data stored on the virtual hard disk? If that's your case, use a specialized data recovery tool – Hetman Partition Recovery, which can work successfully with most file formats used in popular hypervisors. It supports all popular file systems formats and it can help you restore data after deleting, formatting, and hardware or software errors. In a Windows operating system, all you have to do is to download and install the program. Using a different operating system, take the hard disk out of your computer and connect it to a Windows PC. If you want to recover virtual machine files, connect the disk where virtual disk files were stored and scan it with Hetman Partition Recovery. Right-click on the disk and choose Open. Select the scan type – Fast Scan – Off Full Analysis if the first option is not available. Before starting full analysis, choose the file system and click Next. In my case, Fast Scan is available. In the folder where the virtual machine files were stored, select the files you want to restore, click Recovery, specify the paths where you'd like to save the files and click Recovery again. You will find the recovered files in the directory you have chosen. If, for some reason, you couldn't boot the virtual machine after Recovery or there is an error when you try to start the machine, don't worry, upload the file to our program and use it to restore your data. To do it, open Tools, Mount Disk, and you'll find two ways to mount it. Choose a raw disk image if you are dealing with conventional disks or choose virtual machines. You can see the list of files and tools that our program supports. Check the required image type, give the path to the folder containing virtual hard disk files and click Select Folder. The program will display all virtual machine files which exist in such folder and you can uncheck the boxes for the ones you don't need now. To begin searching for data, right-click on the disk and choose Open. Then choose Analysis Time, where you command starting with Fast Scan. If the program can't find the missing files, then go for Full Analysis. You can see that the program can find all files remaining on the disk without difficulty. The right cross indicates the ones which have been deleted. Click on a file to see its contents in the preview window. With this quick search option, you can find a specific file by its name. Select the files you need to restore and click Recovery. Specify the disk where to save the files and click Recovery again. Summing up, what can we say about the QMU hypervisor? It's difficult to say if it's better or worse than virtual box or VMware. More likely, it's an alternative method of virtualization and it has its own pros and cons. QMU is less convenient, it requires you to know the manuals, and its performance is very moderate. To accelerate its work in Windows, you need to install and configure AHXM, the hardware-accelerated execution manager. On the other hand, this tool lets you emulate work on various architectures which are not supported by popular hypervisors. And if you ever lose any data, now you know which recovery tool can bring it back in a most efficient way. And that is all for now. Hopefully, this video was useful. Remember to click the like button and subscribe to our channel. Leave comments to ask questions. Thank you for watching. Good luck. While you're watching this video, civilians in Ukraine are dying from attacks in the apartments of the Russian Federation. Putin's insane regime has attacked a peaceful country in the very heart of Europe. Support the Ukrainian army by making a contribution to the font Come Back Alive. Use the QR code or the link below the video to transfer any amount of money that will boost Ukrainian resistance and help it counter Russia's designable invasion.


Okay, good morning. We can get going while people continue to struggle in. So I'm Brent Gravely. I'm going to be the moderator for this session and the first speaker. But first I'd like to just thank the members of the Data Coordination Center who've really put a lot of work into organizing this meeting. I think they've done a fabulous job and hopefully making it a great experience for all of the users. So yes, especially Jean. Not that anybody, everybody else has done a lot of work. And for also having a very good music list during the breaks. Okay, so as I said, my name is, oh, we need to get to the beginning here. There we go. Okay, so my name is Brent Gravely. I'm one of the production PIs within the ENCODE project and I'd like to thank myself for inviting me to talk to you today. So what I'd like to talk to you about is a project that we've been working on, characterizing the functional RNA elements in the human genome. And this is a new component of the ENCODE project. So during the past few phases, we're currently in phase three of ENCODE, which is ending in the next few months here. This is one of my favorite figures from the previous publications from ENCODE. And part of why I like it is that it highlights sort of the diversity of cell types and assays that have been done. And so the other reason I like it is you can see here in RNA binding proteins, there's actually very few proteins or cell types or assay types that were actually conducted. Yet RNA binding proteins are really an important part of the biology of the genomes. In fact, there was a paper recently published in Science from Jonathan Pritchard's lab highlighting that RNA splicing is one of the primary links between genetic variation and human disease. So this is a really great paper, so go read it. But it's highlighting the really important aspect of RNA biology in human disease. So there's many aspects of RNA biology that occur when you synthesize a pre-M RNA. These are then spliced. They can undergo RNA editing. They can have cleavage and polydenylation at the three prime ends. And then these RNAs are either retained in the nucleus or exported to the cytoplasm where they become translated. And then they can be localized within the cytoplasm to different regions. And they can be also controlled at the level of RNA stability. And each of these steps can be controlled by a large number of RNA binding proteins. And these proteins recognize elements within the RNA. So for instance, proteins involved in splicing can bind to intronic or exonic elements that can either enhance or repress splicing of a particular exon. Proteins involved in polydenylation can bind to either exons or they can bind downstream of the cleavage and polydenylation site. And they can either enhance or repress use of a particular poly-A site. And then proteins can also bind to many different regions of a messenger RNA, and they can control the translation, the localization of that RNA, or the stability of that RNA. And so we're really in this project trying to identify the binding sites for all of these proteins. And this is a figure that was published in Cell several years ago highlighting the proteins that people knew of at the time that could regulate splicing. And there's maybe 30 or 40 proteins on this list, but there's over 100,000 alternative splicing events that occur in the human genome. So there's no way that only 40 proteins can regulate all of those splicing events. In fact, censuses that our group and others have done over the last few years suggest that there's at least 1,000 up to possibly 2,000 different RNA binding proteins, yet only a handful of these proteins have ever really been characterized in much detail. And these proteins are involved in nearly every aspect of RNA biology within the cell. So there's many different complexes and processes that go on within the nucleus and the cytoplasm. And there's many different categories of RNA protein complexes. Okay. So the goal of the project that we're engaged in is to comprehensively identify the elements in the human genome that are recognized by these RNA binding proteins. In the current phase, our goal is to do this for 250 different RNA binding proteins, and eventually we would like to get to doing all of them. We also want to characterize the binding affinity of each protein to all possible RNA sequences and then determine the functions of these protein RNA interactions. And so the way that we think of this conceptually is sort of like developing something like a periodic table for human RNA binding proteins, where for each protein we're going to have the same sets of assays that are conducted in the same manner and the same cell types so that you can actually directly compare them, and every protein will have the same data sets for themselves. So we're creating sort of a reference set for these RNA binding proteins. So for instance, for each protein we'll be doing an assay that Eric Vinostran introduced called ClipSeq, where we characterize the protein RNA interactions between each of these proteins. We'll also be doing an assay called RNA BindingSeq, and this is being done by Chris Burge's lab in which they measured the binding affinity for each RNA binding protein with all possible RNA sequences so that we can then go in, and if we see a mutation in a particular patient you can predict what would happen to the binding of a protein to that particular site. We're also for a subset of proteins that are localized to the nucleus, we're performing ClipSeq on them to see how those proteins associate with chromatin. We're also trying to assess the function of these binding sites, and to do this we're doing either RNAi knockdowns or CRISPR knockouts for these RNA binding proteins followed by RNASeq so we can see how depleting these proteins impacts the transcriptome. And finally, unlike transcription factors which interact with DNA in the nucleus, we hope, RNA binding proteins can function anywhere within the cell. So with the reagents that we're generating for these we're actually performing immunohistochemistry experiments so we can look at where within the cell each RNA binding protein is. And these experiments are being done by Eric LeCoyer's lab in Canada. Okay, so again we're going to be defining the binding sites, hopefully identifying the function of these sites. One thing we're really interested in once we get a large collection of these is we can start looking at the composition of RNPs. So this is sort of the equivalent in the RNA world of chromatin structure. So you can take RNA strands and then start decorating them with the proteins and we can see how individual transcripts are bound by different proteins and how that might impact their function. We also hope to be able to predict how mutations will impact RNA processing and hopefully us or others will use this data to obtain new insight into RNA biology. So for all of these assays that we're doing that we're conducting them in two different cell lines, the K562 cells and the HEPG2 cells which are being extensively studied by others within the ENCODE consortium. So I think when you merge the RNA binding protein data with the transcription factor and the DNA methylation and the histone, chip-seq data, we'll have a very large collection of genetic data that we can hope to really understand how these particular cells work. Okay, so there's over a thousand RNA binding proteins. So how do we come up with which ones to study and which ones to prioritize? I'd like to tell you it's this really scientific method, but the way we did it was we scoured the earth for antibodies and we started testing them. And so we acquired over 800 antibodies for RNA binding proteins. We also have over a thousand SHRNAs to these RNA binding protein genes. And we've so far have tested 700 of these in IP Western experiments. And so for each RNA binding protein, we perform an IP also with the control. And so we identify those that efficiently immunoprecipitate the protein of interest. And of those, we have 438 antibodies that work. Then we also perform for each of these antibodies a secondary characterization to make sure that the band that's recognized on the western is actually the protein that you think it is. We perform SHRNA knockdown experiments and we make sure that the band actually goes away when you deplete the transcript. So of these, we have so far 362 of these done. And so we have reagents that have passed all of these standards for 276 RNA binding proteins. So for the IP Western experiments, we've come up with a grading scheme from really good shown in green to the really bad antibodies shown in red. And we're really focusing all of our experiments on the ones shown in green, which are really good antibodies that efficiently IP the protein of interest. And if we look at just those that have good antibodies, this is sort of the domain composition of the proteins within that. So most of them have canonical RNA binding domains. Some of them have domains that are known to interact with either DNA or RNA. And then there's a bunch of proteins that have other domains which are not typically annotated as an RNA binding protein, but these proteins have been shown to be covalently cross-linkable to RNA, so we're studying them anyway. So the antibody resources are, these are all available at the DCC site. So some of this is similar to the DCC tutorials that have been shown on. So you can go there and search for these. We have, there's a large number of them, which are in this category called not pursued. And those are the antibodies that are bad. They don't work very well, and we think that information is just as important as the ones that are good, so you don't actually go and order a bad antibody. But so you can identify these, and if you click on a particular antibody, you can see both the IP experiment and the RNAI knockdown experiment. And then also if there are data sets that have been generated to date, you can actually access those directly on that site as well. And just like the antibodies, where there's a gradient of how well these things work, the SHRNAs, there's a gradient for how well those work as well. So some of the SHRNAs work extremely well and deplete the protein very well. Others don't work very well at all. And some proteins, even after trying 10 or 12, SHRNAs can't be depleted. And so for those, we were actually shifting now to using CRISPRs to knock those out. Okay. So like I said, for many of these proteins, where we have these antibodies, we're also doing immunostaining of the cells to look at where within the cell these proteins localize. So we have, for each of these antibodies, we're staining with the RBP antibody itself. We have a collection of 10 different markers for different subcellular localizations. And then we merge them. And so this is just an example for three different proteins. But Eric LeCoyer's lab in Canada has an entire database that you can go to. And the URL is shown down here. And you can go and search for your favorite antibody, or you can just browse the images. And we hope within the next few months to get many of these images over to the DCC. So if you were, for instance, to go in and look at a particular protein, this one's AARS. You show the antibody standing here. And these are all the different markers. And then we have the cold labeling of them here. And then you can just sort of browse these. And there's another shot where it'll show the merged images for all of these. So go look at these. They're really amazing images and just fun to look at. Okay. So as far as the genomic assays go, Eric Van Nostrand introduced this to you in the workshop the other day. So this is the eClip assay that he developed in a really high throughput assay that's really good at identifying protein RNA interactions that occur in vivo and with high throughput. And so I won't go through this in much more detail since Eric spent the whole workshop on it. But I can sort of give you some highlights for some of the types of data that we're getting now. So for instance, we're able to classify different proteins in having different types of binding profiles. So for instance, proteins such as PRP8, which is a core component of the spliceosome, tends to bind to five prime splice sites preferentially, whereas another spliceosomal protein U2AF2 binds preferentially to three prime splice sites. There's proteins such as RBFOX2, which binds to intronic sequences, IGF2BP1, which binds to three prime UTRs, and then proteins such as FXR1, which binds to coding exons. And so we can categorize these proteins into these different binding profiles now. Another thing we can do is start to look at co-association. So we can take each protein and ask what are the other proteins that we've characterized that have the most similar binding profiles to it. And so we can try and identify co-associated proteins. And so there are things that we know about. For instance, I think down here in the left bottom corner is a group of a cluster that contains both subunits of the protein U2AF. And this is a protein that has two subunits, and it's a very tight heterodimer. And so we're seeing that those two proteins have the same binding profiles. We can also have another cluster here, which has some proteins that we know of that work together, but also other proteins that we actually don't know that they work together, but we have never even characterized these proteins. So we can start to look at the functions of these, and we can make guesses on what these functions are based on their co-associations with other proteins. Okay, we can also take this RNA-centered point of view, and Eric showed a little bit of this in his talk. For instance, if we look at XIST and the proteins that bind to it, we can see that HNRBK, PTBP1, HNRPM, and SRSF1 bind to the XIST transcript, but they do so with different locations. Similarly, we see a collection of proteins that bind to the non-coating RNA mallet 1. So this is what I was talking about, where we can now start to look at R&P structure by really decorating individual transcripts with different RNA binding proteins. Okay, and so just to give an overview, this is just a demonstration of sort of how many binding sites we're identifying when we do new assays with these proteins. So if we were here looking at the cumulative number of data sets that have been generated, and on the left panel is the number of peaks that have been identified, and on the right it's the number of nucleotides in the genome that are being covered, and we've done 100 different iterations of this, basically putting the assays in different orders, and in red shows that the results for HEPG2 and in blue it's for K562 cells. So we're still, every time we add a new protein, we're still generating new binding sites that have not been identified in previous assays, and we have a lot of RNA binding proteins to go, I think, before we start saturating this. Okay, another assay that's being done, and this is being done in Chris Berger's lab, is this assay we call RNA binding seek, and what this is is they take a pool of randomized RNAs, and they incubate it with recombinant proteins at several different concentrations of those proteins, isolate the bound RNAs, and then sequence them, and then they can look at, they also sequence the input RNA, and so they can look at the enrichment of different hexamers, 7-mers, 8-mers, et cetera, and these different binding affinities, and they can actually calculate the relative binding affinity of the protein for these, and they can get out of that the motifs in vitro that these proteins optimally recognize, and so then what we can do is we can intersect those motifs identified from the RNA bind and seek data with the peaks identified from the clip data, and so when we do that we're actually able to, this pointer's not working very well, all right, so when we do that we can actually identify the actual motifs within the peaks, so this provides sort of an orthogonal validation of the peaks, or the motifs identified in the peaks, because we're now able to cross-reference the bind and seek data with the clip data, and this allows us also to sort of pinpoint the binding sites to very high resolution within the transcripts, so another type of assay that we're doing is the knockdown followed by RNA seek, where we can then look and identify exons that change in their splicing, for instance, or gene expression changes that occur after knockdown, and then we can intersect that with the clip data, so these are some figures what we call RNA maps, and so what we're doing here, for instance, on the bottom is taking all of the exons that are regulated by this protein, RBFox, and we can separate them into ones where when you knock the protein down, you see inclusion of that exon, or when you knock it down you see repression of that exon, and then we can look at the binding profiles for RBFox based on the clip data, pointers, okay, and so what we see is for the exons that are activated by RBFox, we tend to see binding of the protein downstream of that particular exon, and so what we can do now is not just identify the elements that these proteins recognize, but we can partition them into functional categories, okay, so we're using this now to sort of assign functions to the different RNA elements, so some other use you can get out of this data, so this is a paper that we published with Chris Burge recently this year, where they identified a set of alternative exons, their alternative last exons, and they wanted to identify proteins that would regulate them, so what we're able to do here is actually highlight proteins that really enhance the utilization of the most distal last exon versus repressing utilization of the most distal exon, so just by scouring through this data, we can come up with really good candidates for proteins that regulate certain types of splicing events, and Grace Yao in the next talk will actually talk about some of this in more detail for other types of RNA processing events. Another type of experiment we've done is to take cells and we fractionate them, so we have a total fraction, and then we generate subcellular fractions, so we have a nuclear, a cytosolic, a membrane, and an insoluble fraction, and then we can look at where within these fractions different transcripts partition, and so once we have this data we can start now doing integrative type analysis where we can look at a protein, so this is a protein RBM 27, and what we find is this protein actually tends to bind to mitochondrial transcripts, more than other transcripts, and if you look at the imaging, it turns out that the protein is very highly localized to mitochondria, which is good, and if we look at the gene expression, genes whose expression changes upon depletion of the protein, it turns out most of these tend to be mitochondrial transcripts as well, and then what we can do is, using those fractionation data that we generated, we can sort of partition the data into where each transcript tends to localize within those, and then in red and blue, respectively, we can look at the genes that are over and under expressed upon depletion of those, and these tend to correlate with where the mitochondria migrate within those fractions, so this all provides evidence that this RBM 27 protein is really involved in the function and activity of mitochondrial transcripts. Okay, so here's a snapshot of about where we are to date, so far we have at least one data set for 344 RNA binding proteins, we have about 1,300 data sets that are completed and or released, and as I said, they're in both K562 and HEPG2, and so these are the numbers for individual data sets, and what we're really trying to work on now in the next few months is trying to maximize the number of assays that are available for each protein, and our goal is to sort of all these black squares hopefully fill as many of those in as we can, so we have the same data for every RNA binding protein, and then eventually we'll be able to have our periodic table for RNA binding proteins. Okay, so this is a lot of work from a large people, so my lab is at UConn, these are the people involved in my lab, Chris Burges' lab is doing all the RNA binding-seq experiments, Jean Yao's lab is really spearheading all the clip data, doing a lot of heroic work, which is really led by Eric Bonastron. Eric LeCoyer's lab is involved in the imaging data, Foo's lab is doing some chick-seq data that I didn't really talk about, we're collaborating closely with Grace Yao, and I have to thank the data coordination center for working with us very closely, I'm getting all the data in there so that you can have access to it, and I have to thank NHGRI for funding, so thank you for your attention and happy to take any questions. Maybe you already mentioned this, do you have a sense of how many binding proteins bind to the sequence element, and how many bind to the structure, secondary or tertiary structure? I don't have numbers for you, but there are a lot, I would say most of the proteins that have, for instance, RNA recognition motifs, they tend to bind to particular sequences, but some of those do so within a structured context, so the sequence would have to be a single-stranded sequence, but it's in the loop of a stem loop, for instance, but the actual sequence of the stem is irrelevant, as long as it forms a structure that displays the binding site within a loop. And the example would be excess RNA, which binds proteins, not at the same place. Yeah, and then there's double-stranded RNA binding proteins that we're looking at, so those tend to bind to obviously double-stranded RNA. There's also a lot of proteins that just seem to coat RNA, so they don't really, there may be like one site that's like a sort of a nucleating site, and then it just sort of coats from there, and so most of the sites for some proteins are pretty nonspecific. Thank you. So there's a one over there.  I'm like, you don't? So perhaps it's a very nice question, but you make an analogy with the RNA elements versus the DNA elements. Is there anything similar as this, you know, communication that we know now with the histomorphs in the DNA elements, something similar in the RNA elements, like a long distance, like interactions within the proteins and the RNA bound? Yeah, so that's a good question. So we're, so we have information on protein RNA interactions, and some of those will be occurring within the nucleus, and some will be in the cytoplasm. So the nuclear ones could be sort of interacting at the chromatin level. So for some of those proteins, FUSLAB is also doing chip seeks, so we can sort of get an idea of like where the protein is on that. But there are other groups that are also working on sort of a chip seek like assay that instead of just sequencing DNA, we'll sequence both the RNA and DNA that's bound, so sort of like a chiopet, high C type thing where you're looking at protein, protein mediated RNA DNA interactions. So we're not doing that ourselves, but I know there are other groups that are doing that, and that would probably be the best way to address that question. And even more general, so what is the the role that those RNA elements or in general those RNA and proteins play versus the gene regulation? Because it's like it seems like two different worlds, but they interact, right? Yeah, so there's some experiments showing that there's proteins, so for instance like the HIV TAT protein will bind to the TAR element, and it sort of reaches back to the promoter and enhances transcription, so that's sort of one way in which some sort of protein, RNA, mediated interaction in the nucleus could occur to interact with the transcription machinery to enhance it. I think a lot of these are also involved in regulating translation or transcription elongation. They could regulate transcription termination, so I think there's a lot of different ways in which this could work and hopefully us and others will be able to figure this out. So Jason. I was wondering if and how much signal you see outside of annotated genes? Outside of annotated genes? So I would say there's very little signal outside of annotated genes. I mean there's some, but I would say the vast majority of it is in something that's annotated or at least within the intron of an annotated gene, so we see very little signal throughout the genome outside of where we know transcription occurs in these particular cells. For the proteins that are clustering together, are they binding the same sequence and then competing, or are they part of the same complex? So it seems like for the most part they're binding or they're forming a complex and then they bind together, so they'll actually have different binding sites, but they're binding as a complex together. So can you say how many complexes there are then from your data roughly? We probably could, I don't know, number off the top of my head, but okay. All right. One more, they're way back there, and then we should probably move on. Have you looked at all at RNA editing using the, like, our total RNA-seq data? That's an excellent segue. In fact, our next speaker will talk precisely about that. So, yeah, so Jeeping, we can catch up, but yeah, so we'll move on so we can keep on time. So I'm going to introduce the next speaker, which is Grace Zhao, and she will actually talk about these RNA binding proteins how they control splicing and possibly editing today. I know she's working on it, so.


one person is dead after crashing a motorcycle in Bemidji. It happened yesterday at 5.30 in the afternoon. Bemidji police responded to the motorcycle crash in the 1200 block of Fifth Street and found a Harley-Davidson motorcycle, which appeared to have left the roadway and flipped. The operator of the motorcycle was pronounced dead at the scene. The name of the victim is being withheld pending family notification. If you enjoyed this segment of Lakeland News, please consider making a tax-deductible contribution to Lakeland PBS.


I like to consider myself a bit of a professional when it comes to crutches. I have been on these bad boys for so many years of my life with ankle surgery after ankle surgery then amputation. So when I messed this knee up last week, I thought no problem. I'm a pro, except that I'm not. I have spent so many years being coordinated, supporting this side. But when I had to switch, I felt like a newborn baby deer. Just limbs everywhere, nothing's coordinated. Also crutching on a prosthetic leg is just real sad. Reversing the coordination for this side, I am struggling, but I will master it.


Today, we'll discuss the most horrifying films based on true events. These films are based on actual incidents that will make you rethink what is genuine and what's not. From the infamous Ed Gaine to the unsolved Texarkana murders to the case files of Ed and Lorraine Warren, we'll examine some of the most eerie stories to have been adapted for the big screen. So sit back, loosen yourself, and prepare to be terrified beyond belief. Click the subscribe button to ensure you don't miss any upcoming videos. As always, let me know in the comment section which film on this list you're most interested to watch. Let's get started. The Texas Chainsaw Massacre is a 1974 American horror film written and co-produced by Toby Hooper and Kim Hankel. The film concerns a group of friends who become victims of a family of cannibals, including Leatherface, a chainsaw-wielding killer. The film is based on the crimes of Ed Gaine, a Wisconsin farmer who dug bodies from local cemeteries and made trophies and souvenirs out of their bones and skin. Gaine also murdered at least two women, one of whom he skinned and fashioned into a suit he wore. While the film is not a faithful recreation of Gaine's life, it is inspired by some of the gory details of his murders, such as the use of a chainsaw and Leatherface's manufacture of a human skin mask. The Library of Congress acknowledged the film's impact on the horror genre in 1999, recognizing it as one of the most significant and influential films in the genre's history. It garnered mixed reviews, but it has since become a cult classic and one of the most beloved horror films of all time. In addition, there are two sequels, a prequel and a reboot. James Brolin and Margot Kidder star in the 1979 supernatural horror film The Amityville Horror. The film is based on Gaine's since 1977 book of the same title, which purports to be a genuine account of the Lutz family's experience living in a haunted house at 112 Ocean Avenue in Amityville, New York. According to the book and the film, Ronald DeFeo Jr. murdered his entire family at their home in November 1974. The Lutz family moved into the house a year later, but soon began to experience weird and horrifying occurrences, including ghostly apparitions, cold spots, unusual odors, and levitating things. The family ultimately fled the house, believing that it was haunted by the DeFeo family's ghosts. However, the Amityville Horror story has been extensively debunked as a fake. Subsequent investigators prove that the Lutz family made up a number of facts in their story, and that J. Anson's book was a work of fiction. Despite this, the book and film have become one of the most well-known and enduring modern paranormal urban legends. The box office financial success of the Amityville Horror spawned a series of sequels and remakes. The original film was well received by critics, but its popularity and reputation have deteriorated as the truth about its plot has become more publicly known. The Exorcist is a 1973 American supernatural horror film directed by William Friedkin and adapted from William Peter Blatty's 1971 novel of the same name. The film stars Ellen Burstyn, Linda Blair, Max Vonsito, and Jason Miller and depicts the narrative of Reagan, a young girl who is possessed by a demon and the efforts of two priests to expel the demon from her body. The film is based on a genuine story that was recounted in William Peter Blatty's 1949 novel. Based on an exorcism performed in 1949 on a youngster named Roland Doe or Robbie Manheim in St. Louis, Missouri, he published the book. William Peter Blatty was inspired to write both the novel and the film by the story of Roland Doe's exorcism. It grossed over $441 million worldwide, making it the highest grossing horror picture of all time, and it was nominated for 10 Academy Awards, winning two Best Adapted Screenplay for Blatty and Best Sound. Some audience members fainted or became unwell during screenings as a result of the film's vivid depiction of the exorcism and its severe terror. It's regarded as a cinematic masterpiece and one of the greatest horror pictures ever produced. Even after several decades, the exorcist holds up well and continues to impact horror films in popular culture. Additionally, the film features two sequels and a prequel. The 1984 supernatural horror film A Nightmare on Elm Street was directed and co-written by Wes Craven and produced by Robert Shea. Heather Langenkamp, John Saxon, Rony Blakely, and Robert England as Freddy Krueger star in the first installment of the Nightmare on Elm Street franchise. A group of kids are hunted and murdered in their dreams by a disfigured man named Freddy Krueger, who wears a glove with knives connected to the fingers and hunts them in the dream world. The film was inspired by various actual occurrences and urban legends. Wes Craven has indicated that a series of newspaper articles he read about a group of Cambodian immigrants who had perished in their sleep due to nightmares served as inspiration for the picture. A young man who died in his sleep after experiencing nightmares about a faceless, blade-fingered creature was also an influence for the film. Craven was also influenced by the urban legend of the Dream Demon, which refers to the idea that people are visited by a monster in their nightmares. A Nightmare on Elm Street was a commercial and critical triumph, grossing over $25 million on a budget of $1.8 million, and it has since become one of the most successful and endearing horror film franchises ever. Freddy Krueger has become one of the most well-known film villains of all time and a cultural icon. The Hills Have Eyes is a 1977 American horror film directed by Wes Craven and starring D. Wallace, Susan Lanier, and Michael Berryman. A family becomes stranded in the Nevada desert, only to be hunted by a family of inbred cannibals dwelling in the surrounding hills. The film was inspired by the legend of Alexander Sonny Bean, an infamous Scottish outlaw who has claimed to have lived in a cave and committed robbery and murder in the 16th century with this family. It was reported that they preyed on travelers and local inhabitants and even engaged in cannibalism. However, this tale of Sonny Bean has been disproved as pure fiction and the legends were manufactured in the 18th century and put in pamphlets and broadsides to scare people with tales of horror and depravity. The Hills Have Eyes is a low-budget production that grossed over $25 million of the box office and was hailed by critics for its tremendous violence and suspense. Since then, it's become a cult classic and is regarded as one of the defining films of the backwards horror sub-genre. There are also two sequels, one remake and the one prequel. The Girl Next Door is an American horror drama film directed by Gregory Wilson in 2007 and based on a true crime story in the same titled novel by Jack Ketchum. The film is based on the true tale of Gertrude Benazuzki and her children torturing and murdering Sylvia Likens. In 1965, Sylvia Likens, an Indiana teenager, was tortured and murdered by Gertrude Benazuzki and her children. Likens was held captive in Benazuzki's basement for months prior to her murder when she was subjected to physical, emotional, and sexual torture. The case became one of the most notorious in Indiana's history due to the stunning nature of the facts. The Girl Next Door is a dramatization of the circumstances leading up to Sylvia's murder and it depicts the real-life events and the persons involved in a horrific manner. Some commentators praised the film's uncompromising depiction of the crime while others faulted it for being too disturbingly violent. Due to the brutality and reality of the plot and the performances of the performers, this film is deemed tough to see and is not suggested for anyone with a weak stomach. However, it can have a profound effect on the spectator due to its impact. Based on a series of unsolved murders that occurred in and around Texarkana, Texas in 1946, the town that dreaded sundown is a 1976 American slasher film directed by Charles B. Pierce. The film depicts the tales of the Phantom Killer, a mystery individual who murdered five people and seriously injured three others. The murders were horrible and the perpetrator was never apprehended. The attacks were distinguished by the fact that they occurred in Lovers Lane and the victims were young couples. The real-life murders were widely publicized in the media, producing a sensation and panic in the small town of Texarkana and prompting the Texas Rangers to organize a special task force to track the perpetrator. The case remains unsolved and unresolved to this day. The town that dreaded sundown was a commercial hit. Some criticized the film for being exploitative and excessively violent while others complimented it for being a well-made and frightening horror picture. In 2014, it was followed by a sequel and a reboot. The Haunting in Connecticut is an American supernatural horror film from 2009 that was directed by Peter Cornwell and stars Virginia Mattson, Kyle Garner, and Elias Codius. The film is based on the true account of the Snedeker family who, in the 1980s, claimed to have seen paranormal activity in their Southington, Connecticut home. According to the family, they rented a home in Southington, Connecticut in 1986 and soon began to encounter weird and horrifying phenomena, such as ghostly apparitions, cold spots, and objects that levitated. The family claimed that the mansion was haunted by the ghosts of past patients who had died in the 1920s mortuary that once stood on the property. The narrative of the Connecticut Haunting, however, has been regarded with suspicion and disagreement. Horror opponents and skeptics have asserted that the Snedeker's account was grossly exaggerated and that crucial parts were falsified. Some reviews complimented the film's atmosphere and performances while others questioned its lack of creativity and departure from actual events. A sequel, A Haunting in Connecticut 2, Ghosts of Georgia was produced in 2013 with a different plot and cast of characters. The Conjuring is a supernatural horror film released in 2013 that was directed by James Wan and stars Patrick Wilson and Vera Farmiga as Ed and Lorraine Warren respectively. The film is based on the case files of the Warrens who were real-life paranormal investigators known for their work on high-profile cases of claimed otherworldly activity. The film relates the story of the Perrin family who moved into a Rhode Island farmhouse in 1971 and began to encounter terrible happenings, including ghostly apparitions, cold spots, and levitating things. The family soon reaches out to the Warrens for assistance and the couple launches an investigation of the property to determine the truth behind the paranormal activity. The Warrens were an actual husband and wife team of paranormal investigators with decades of experience. They investigated some of the most infamous and contentious cases of claimed paranormal activity in history. Skeptics and other specialists in the field have attacked their methodology and findings and their claims of supernatural activity have been regarded with skepticism. The Conjuring was a commercial and critical success, generating over 319 million dollars worldwide and receiving accolades for its atmosphere, performances, and suspense. It's the first installment in the Conjuring Universe franchise which consists of numerous sequels and spinoffs. The Silence of the Lambs is a psychological horror thriller film from 1991 that was directed by Jonathan Demme and stars Jodie Foster, Anthony Hopkins, and Scott Glenn. The film is based on Thomas Harris' 1988 novel of the same name. The film follows FBI trainee Clarice Starling as she attempts to track down Buffalo Bill, a serial murderer who abducts and murders young women. Starling consults Dr. Hannibal Lecter, a smart and cannibalistic serial killer who is presently imprisoned for murder, to seek insight into the killer's motivations. Albert Fish, a serial killer and cannibal, is supposed to have inspired the character of Dr. Hannibal Lecter. Fish was an American serial killer, child molester and cannibal who murdered at least nine individuals during the late 1800s and early 1900s, although he confessed to doing more. Fish was notorious for his necrophilia and cannibalism, both of which are addressed by Dr. Lecter's character. It was the first horror film to win the Academy Award for Best Picture, and it also won four other Academy Awards, including Best Director, Best Actor, Best Actress, and Best Adapted Screenplay. Since then, the picture has been hailed as one of the greatest films ever created and a horror genre masterpiece. Dr. Lecter is widely regarded as one of the most iconic and recognized figures in pop culture. Wow, that was quite a tour through some of the most horrifying true-life horror films. From the twisted psyche of Ed Gain to the unsolved Texarkana murders to the Warren's case files, these films are guaranteed to keep you awake at night. If you loved this video, please give it a thumbs up and don't forget to subscribe for more similar material. And don't forget to tell me in the comment section which of these films you found most frightening. Thank you for watching, and I'll see you in a future video.


How's it going everybody? Dato de motion risk doya here. Oh wait. Oh, wow. He's the one with an emotion risk Majin versus Majin friend against friend This is where uh, you know you hate to see this happen, but this is what happens on the battlefield out here in ranked, you know No love no love for these dudes Okay, okay. It's back. It's back. We're back. All right. We're back. Hold on. Oh, let me get the lane legs out All right, he's reflecting a lot so we need to like stagger some stuff here All right, that's a free tech Now yeah, that was my chance. Mmm stagger it we in there All right, let's go Goku leveled up could have probably punished that Mmm, not gonna be able to get the tag. Oh, he actually hit me with that leg Unbelievable dude. That was great spacing. Damn good use of the assist to oh Oh Yes, dude Mmm, and the punish to that is just feels good stuff. Let me speak to Goku black and I speak to your manager. Oh Okay, we're gonna be on defense here for a little bit. Oh No, my light jab did not reach far enough, but uh his down have he did okay? He can't extend this Kenny. I could have guarded that Hmm. No command grabs Yeah, yeah, oh, no, and I called in an assist to I if I was him I definitely would have a Hmm. It's a oh, no That's just something that we couldn't let happen and I was actually I was actively looking for that too One mistakes all it takes Hmm. Do you see how I use my down heavy to keep the air there? That's You got to keep that prep. I can't believe he blocked that. Oh No, my down heavy didn't go off in time can he extend that no he cannot Oh, man. He canceled down heavy into the legs so I couldn't punish with the down heavy. Whoo This guy dude. Okay, we're just gonna switch him out.  Oh, oh My god the Kayo Ken times three roll. What a beast Okay, we're not out of the woods yet though. No, I tried jumping it.   Oh, and that was just extra style points This dude sent me out packing, but at least he was kind enough to send me out with some flair I appreciate that. Oh, no, it wasn't fast enough. Oh Don't ever do that to me. You already know you're getting your neck crushed Delay it just a bit.  See ya son. Goodbye hero For you have been set a blaze and a blue pillar of light Goodbye my sweet prince Oh The garbage though that tries talk Vegeta's geez He brought us down to the last character. What are you doing? Got him to the corner Dragon rush gotta be on the lookout for the dragon rush should I charge up to level three spear bomb? That's letting go of pressure, but I think it's the choice that has to be done I forgot about the uppercut had I remembered never would have done that. Oh my uppercuts This dude is timing them. Yep. That's if you notice that my voice My voice started shaking because I knew it was coming down tech buttons I'm out of there. Oh, no, he clicked it first Can he get a vanish off of that he can but I don't think he wants to oh Beautiful dragon rush into the insta snap, but I'm not gonna let that happen Okay. Yep. No, that was the proper move Dragon rush. I got him to we play that game. Oh Didn't reach everybody saw that. Oh, give me out of here, dude Doesn't have a follow-up. That's fine You know what? We're just gonna push them way back Okay, can we kill? Nope. I did that wrong Nice uppercut again, dude That that point we were trying to bait a super dash. We didn't we didn't get it. I was going quiet. I wanted it Can we do down tech buttons here? Oh Man, that was close. We accidentally another my corner. I don't regret it. I was panicking Are we gonna be able to get it? Oh, we do I got the wrong character though. Oh my goodness How many times can I doubt to a drop combos here? No finisher cuz I'm just that good Come on. Yeah, we're Back dash back dash again. Oh, we got the right read but just He got away Scott free to and we weren't close enough to click light buttons to get a to get a string off of that So we're just gonna eat. We're gonna eat the death here Yep, bye Vegeta You know what I was getting bored of those anyway, but the Rocky Mountains. Yes scenic and everything, but come on, dude. Oh beautiful Just beautiful. I got go Han. I Got crossed up. All right. All right. All right. I'm done. I'm done. I've never seen that so Mmm, we got those and at this point shrunks is way too healthy. We need to get rid of that go Han uppercut That's what we really need to get rid of. Oh, no, that's I thought that would be positive That was just me assuming or that would put me in a better position. I guess I made the mistake of That's fine. We still have sparking no choice. No choice get do it now Okay, so it looks bad for us, but we actually have quite a decent advantage Just gotta rock it out I guess. Oh No That's okay. That's okay. We'll heal it. We'll heal it Okay, not for nothing, but I think if I would have got hit there that would have been game over All right two characters now Super coming up. Yeah, we do not have a lot of health left But we might have sparking for just a little while longer really have to take advantage of that here That's us that's us it won't kill but it'll come close after that. It's all it's just mix-ups No overhead level one damage. That's gonna be not sufficient There you go. Come at me. Oh, oh Behind the back not gonna kill back dash a lot of respect being shown here two competitors Overhead I gotta watch out I Couldn't tell which side that was that was beautiful. I gotta I gotta give it up in the clutch That was beautiful. I didn't know what side I didn't I didn't know how to react That was my bad trunks lack of knowledge, but I gotta give it up. That was beautiful That was actually I can't say it enough That was that was um here we go What's up? Oh really cheap? Call your local service providers Mine's getting a call from me You can believe that Okay, I did not follow up on that. That was my mistake. Oh panicking No, we did not get the oh, I thought we were gonna get the hit for sure there This is a free tech. Oh, but he expected it. He knew it would happen That's not what I wanted. Okay, thank All right, that's fine that is okay with me No meter spent here. We're just gonna do it up and block the uppercut And miss the down heavy. That's an important step in any ingredient. You gotta make sure to miss the down heavy It's just not a cake without the down heavy Hmm. Let's go Let us begin Okay, if he's gonna do that every time I gotta start I gotta start taking precautions All right, I'll take I'll take the exit Uppercut. Okay. I need to leave Oh Sorry, but that's just what had to happen there Hmm. I don't think so. I can't believe our normal didn't reach that Blocked at that time. I thought if I took the hit there, I'd get out of it Two down heavies. I didn't think there'd be enough time for that Is he gonna switch me out? He is that's the decision he wants to rock with Respectable. I couldn't stick in a button there. He went for the overhead Level one to level one. He's gonna need three. He goes for three for the kill Respectable Let's see if we can't wiggle our way out of this situation Ah Nope. Yep. I gotta stop super dashing. He has my number And he's he's definitely calling that number. Okay, brought sell brought trunks in on his own There we go. That's a kill I could have brought in Goku, but that looked way cooler There we go. Safe tag in now. It's just up to the offensive pressure. We can apply dragon rush. He texts it Gohan to cover the offensive pressure afterwards Ah beautiful grab Okay, so glad that happened Nice beautiful three This one's for Oh wow, he died I was good. I was definitely about a level three that man, but hey, if it works, it works Come on, dude. That was some baloney. Am I dead for this?  He'll heal it heal it heal it heal it heal it Oh no, not like this Why so cruel life? Why so cruel? Yep, I knew that would get him Vanishing the block Very nice very nice. All right. Can we not can we not go full set? Can we just seal the deal right here? That's what I'm hoping for. That's I don't want to do this anymore Come on. Oh, no, I had it too I'm just not used to that Goku LL. Yeah, give me time boys. Give me time Okay, wait. Yeah, that messed up his combo at least Ah couldn't get it in time All right, knock me back down. Knock me back down. I need to make sure gohan stays in here. No level three Level one into level one. He's probably gonna end it there Let's go freedom Beautiful down heavy that's gonna lead to Goku losing a good chunk of blue health Oh, I can't call in Goku yet. I can't call in super Saiyan Goku Goku There we go We said we take care of that next time we took care of it. I'm tired of you deflected me Enough offense.  Help Help me snagged me that child snagged me Sparking blast I can't that grab has really short range, dude composure That grab whipped like a thousand miles. He's gonna switch out here Yep, I agree get another level in the books Beautiful Easy trunk switching Mmm That didn't work.    You're as good as space dust.  I forgot about the uppercut. I try to jump away All I wanted to do was be free All I wanted to do is be free, but it ended up like this how How like this Come on and I would like to live Goodbye Help me. Oh we lived Definitely no panicking. Oh my god. Help me No No, why did I air dash in? I was trying to put pressure on Goodbye goku Hello goku No combo I thought I was on that side, dude Taking huge damage from that mistake level one level one I can't say I really agree, but There we go Gohan down Now we just have to deal with almost a full health goku black It's gonna take at least two touches to kill this guy I forgot he could cancel into that. It's looking pretty over. Ah Oh, I got too aggressive there I see I see where I see the mistakes I've made this set could go either way Let's see if I can do it. Oh He uppercuts me again Oh and a beautiful down heavy the round starting awfully for me Oh my goodness. Oh my goodness goku has been checked at every stop Three bars that can that does have a possibility of killing.   Just just die. Just go ahead and die goku because it's you're not I can't All I was doing was holding back.    That's always a plus Oh, okay There we go dragon rush No punish. Okay Oh, they hit me That was a poorly timed anyway That was really poorly timed Okay I'm fighting it off hill battle here. Okay. He was looking for that Oh, no opportunity to check out That's my turn There we go. Open them up Nothing too fancy. Nothing too special There we go. Check them at the door. Check them at the door. You got to wait for your moment. Check them at the door Oh, that's not a fighting game turn for anybody wondering. I'm just saying I can't believe that leg hit me I try to check them there With a light jab. I probably should have just jumped and been out He's gonna level one. Yeah level up. I actually don't agree with this call Wow, we got hit by it.  No, I can't believe that mistake. Go hit me got him Oh man Okay, we have to keep managing this health because that's that's what's been getting us by so far Oh, man, come on. Not not now. This is the most pivotal moment. Pivotable. Pivotal. Pivotable. Pivotal Oh, come on Oh, come on This is unfortunate We did it If you're asking what we did we secured a safe switching I cannot believe it. I cannot believe the range on that leg Oh, no, and all that safe switch. I should have played safer That's gonna be the mistake that seals the deal We did it.  We did it.  Well, I'm gonna call it there. Thank you so much for watching If you enjoyed this ranked video, make sure to leave me your favorite moment down below in the comments If you like these videos, make sure to hit the like button and subscribe to the channel. I'm dato doya I'll see you in the next video


as individuals to be able to better see, to be able to better project around the kinds of things that we need to be doing, to truly transform in a way, to be able to bring together critical thinking around how to address transformation. The rate of change is only increasing. Through amplifying your voice to the society we can make things happen. It's all about people. It's impossible for us to transform our ecosystem if we do not transform people in a positive way.