I found the top 10 highest paying work from home jobs and I've got a nice combination of entry level jobs, mid level jobs, and even one or two higher level jobs. So it's gonna be good for just about anybody watching this video. Ready? Ready. And I've got some on here that you've probably never heard of, such as the first one on the list, number 10, which is going to be social listening analyst. Now this is a very interesting, relatively new position that kind of combines data analytics skills with marketing skills. And basically you're gonna be analyzing things like online conversations, social media trends, and customer sentiments to provide valuable insights and recommendations to businesses. And it's almost like being a modern day anthropologist except you're studying the culture in real time as things are changing. And you're studying the culture specifically to make business related decisions. And I kind of like this quote where it says a brand is no longer what we tell the consumer it is, it is what consumers tell each other it is. And the customer is always right. Now social listening analysts make about $60,000 a year. And this is one of those careers that's so new that you do not need to have a college degree or previous experience to get into it. But it definitely does help to have a good portfolio and certificates and certifications are also good too. Some of the skills you might need for this position are gonna be analytical skills of course, a deep understanding of social media platforms, and the ability to interpret data and trends. Some of the pros of this one are you have an opportunity to work in a bunch of different industries for a bunch of different types of businesses and brands. And it's a really exciting role that's sort of a intersection between psychology and kind of social sciences in general and marketing as well as data analytics. Some of the cons of this one is the digital landscape is constantly evolving. So you have to stay up to date with the latest trends and tools and dealing with large volumes of data and extracting insights can be very challenging. So overall, this is a really interesting new one that I found. I'm gonna give it an eight out of 10 opportunity score. The next one on the list is going to be a compliance analyst. And basically in this role, you're gonna be making sure that your company complies with laws, regulations, and industry standards. And compliance analysts make about $69,000 a year. Now, you don't need a college degree to get into this position. In some positions, they will prefer people who have college degrees. It definitely does help to get a certification such as CCEP. And it also helps if you've already been working in whatever industry you're applying for that role in. So some of the skills you might need for this position are, of course, a great attention to detail, a grasp of regulatory frameworks, and the ability to navigate legal jargon.  Some of the cons here are it requires deep knowledge of laws and regulations. It can involve high pressure situations, and there is a constant need to stay up to date with changing compliance standards. So overall, this is a pretty good one. I'm gonna give it an opportunity score of 8.5 out of 10. The next one on the list is going to be an operations analyst. And this is basically a combination of an operations-related role with a data analysis type role. And you're gonna be using data analysis and problem-solving skills to optimize business processes, improve efficiency, and drive strategic decision-making. And I kinda like this quote about data. It's that data is the new oil, it's valuable, but if unrefined, it cannot really be used. An operation analyst make about $73,000 a year. Now some of the skills you might need for this are of course, strong data analysis abilities, proficiency and data analysis tools, and a solid understanding of business operations. Now this is a position where typically you are going to need previous experience, but you don't necessarily have to have experience in these related roles. You can supplement that with a good portfolio, self-teaching, and also some good certificates. So some of the pros here are desirable salary, flexibility without sacrificing income, and the fun and fulfilling feeling of making businesses more efficient. Some of the cons here are it requires strong analytical and problem-solving skills, it can involve working under pressure and tight deadlines, and continuous learning to stay up to date with industry trends and tools is required. So because of the fact that it's a little bit harder to get into this one, I'm gonna give it an eight out of 10 opportunity score. The next one on the list is going to be IT project manager. And basically, this is a combination of IT information technology skills with project management skills. And you see a lot of these high-paying jobs do have a combination of two very valuable skills. And basically, you're gonna be overseeing the planning and execution of technology-related projects. And you're gonna be ensuring that they meet the business goals, stay within budget, and they're completed on time. And project managers in general make about $97,000 a year. And typically, IT project managers are gonna make a little bit more than that. So some of the skills you're gonna need for this are going to be strong leadership abilities, excellent communication skills, and technical knowledge. Now the most common path to get into this position is getting a college degree, then moving into some type of IT-related career, and then moving into IT project management. But with that being said, it is possible to get into this position without a college degree, but typically, you are gonna have to have some previous experience. Also, it's a good idea to get a certification such as the PMP. Now the pros here are going to be very lucrative salary and potential for career growth, the ability to work remote and enjoy a flexible schedule, and it's going to be exciting and dynamic work. Some of the cons here are you have to navigate the complex and ever-changing technology landscape, you have to balance multiple projects and stakeholders' expectations, and there is potential for high-pressure situations and tight deadlines because you are in a leadership role. But overall, this is a really good one, super valuable skill set. I'm gonna give it a nine out of 10 opportunity score. And by the way, the best way to get an IT, especially if you don't have a college degree and you don't wanna have a college degree and you have no previous experience, is in my opinion to take my friend, Josh's IT help desk course. IT help desk is the easiest way to get an entry-level job in the technology industry, in my opinion. And Josh does actually have a free training, which I'll put down in the description as well as the pinned comment that tells you all about IT help desk and shows you how you can get into it. He also has an interactive cohort experience where you can take this with a bunch of other people and they show you exactly how to get into an IT help desk role and you have more support. And I'll put that down in the description as well as the pinned comment. The next one on the list is going to be an ethical hacker. And basically, this is a position where you actually try to hack companies, but you do it in an ethical way with their permission. Oh, boy, I'm good. Right, so you're going to go into a company, you're gonna see what all their vulnerabilities are, you're gonna try to hack them. And if you're able to, of course, you're gonna help them to shore up those vulnerabilities. And this is actually a career that's been around surprisingly since the 1960s. And this is when the US government started hiring people to make sure they don't have vulnerabilities in their systems. News, gentlemen, I found our hacker. And ethical hackers can make about $97,000 a year. Now, when it comes to the skills for this one, obviously you're gonna have to have strong technical knowledge, great problem-solving abilities, attention to detail, and a passion for cybersecurity. Now, you don't technically have to have a college degree, previous experience, anything like that, but you do have to have a very, very high level of skill. So this is not something you can get into in like the next three to six months most likely, unless you're already very good when it comes to software development or cybersecurity in the first place. So with that being said, there's certain certifications such as CEH or OSCP that will definitely help you to land a job. Now, some of the pros of this one are it's pretty cool to be a hacker, and you get the opportunity to play a vital role in securing digital infrastructure. Some of the cons of this one are, of course, you have to stay constantly up to date on the ever-evolving cybersecurity threats that are out there. And you have the responsibility of protecting sensitive information. So this can be a high-pressure role. But overall, this is a really good one. I'm gonna give it an opportunity score of 8.5 out of 10. The next one on the list is going to be a brand manager. And this is a type of marketing role that doesn't necessarily focus more on conversions, sales, revenue, that sort of thing, but it actually focuses more on creating and maintaining a brand image, increasing brand awareness, and driving consumer trust and loyalty. Right, because if you're able to establish a very strong brand with a generation of people, for instance, like let's say you're making a movie or something or you're making a bunch of action figures with a younger generation in mind, maybe you don't make as much money on the front end, but you could potentially make way more money on the back end down the line. You can just look at huge franchises like Star Wars, for instance, to see how lucrative this can be. Disney is making billions and billions of dollars from Star Wars, but the movies do kind of suck.  So this is one of those positions where you may not see a huge ROI right away, but down the line and the long run, it can make a massive difference. You know, Coca-Cola is an incredibly recognizable brand. So is Star Wars. And brand managers make about $96,000 a year. So some of the skills you're gonna need here are a strong understanding of marketing principles, excellent communication, and creativity related skills. Now, typically people who go into these types of positions do have a college degree, and typically they are gonna have some experience in a lower level marketing position first as well. But with that being said, it's not impossible to get into these positions without a college degree. And things kind of are trending in that direction, so it's becoming easier and easier. Some of the pros here are it's an exciting and dynamic work in the world of marketing and branding. You have an opportunity to work with well-known brands and shape their identity, and you have the potential for high earnings and career growth. Some of the cons here are it requires strong strategic thinking and creative skills. It can involve intense competition and pressure to deliver results, and you do have to continuously learn to stay ahead of the ever-evolving marketing landscape. But overall, I'll give this one an eight out of 10 opportunity score. The next one on the list is going to be a clinical trial manager. And I wanted to put this one in here just to showcase that there are a lot of jobs out there that you think would probably never be able to be done remotely, but in reality, they actually do have opportunities. And basically you're responsible for the overseeing and execution of clinical trials. And there are remote opportunities for this position, surprisingly enough. So I like to include one or two of these on the list just to kind of open people's minds up because there's a lot of people who are watching this and thinking, there's no way I could ever do my job remotely. When in reality, there's a lot of opportunities for remote jobs. You might not be able to do 100% of your job, but you could do like 80% of it remotely, and then you can find a job where you just do that 80%. And there's a lot of random niche jobs like this in the healthcare field specifically you should definitely look into. And clinical trial managers make about $109,000 a year. Some of the skills you need in this position are strong organizational skills, attention to detail, the ability to navigate complex regulations, and of course, experience in clinical research or a related field. For this one, you would of course have to have at the bare minimum a bachelor's degree and in many cases, a master's. And this would be in something like clinical research or a health related degree. And also previous experience would be needed as well. But like I said, I included this one as sort of a surprising job that you probably wouldn't think can actually be done remotely. So always use your creativity and check to see if your job can actually be done remotely. Pros here are opportunity to contribute to medical research, high earning potential and job stability, and the flexibility to work from home and manage trials remotely. Some of the cons here are you have to deal with strict regulations, there's high levels of responsibility, and you have to collaborate remotely with diverse teams and manage communication effectively, which can be hard in these types of positions. But overall, I'm gonna give this one an opportunity score of seven out of 10. The next one on the list is going to be a full stack engineer. And this is an engineer that can do coding on the front end as well as the backend. And front end is basically what you see as the consumer if you're looking at a website or a piece of software. And the backend is everything that happens behind the scenes. And typically that's more analytical and can be a little more tough. And full stack engineers make $141,000 a year. Some of the skills you would need for this are proficiency in both front end and backend technologies. So things like HTML, CSS, JavaScript, as well as frameworks like React or Angular for the front end, and then languages like Python, Ruby or Node.js for the backend. You're also gonna have to have knowledge of databases, version control systems and deployment platforms. So this is one of those careers where people get into it in just about every way you can imagine. All the way from zero experience they don't even have a high school degree and they just teach them self code all the way up to having a doctorate in computer science. So there's a million different ways to skin a cat here. Everyone is gonna have their own opinion on what the best way to do it is. In reality, you just need to look it up yourself and figure out what the best option for you is.  So some of the pros here are you're very versatile. So you have the ability to work in a bunch of different roles and it's an extremely in demand skill. Some of the cons here are it's a super steep learning curve. You have to master both front end and back end technologies and that is incredibly difficult. And it also requires a bunch of multitasking. So overall, I'm gonna give this one an opportunity score of 9.5 out of 10. I think it's excellent. It's also very difficult. But if you can do it, this is a great one. The next one on the list is going to be a research engineer. And this is basically somebody who provides software engineering skills with scientific research skills. Your research engineers make about $146,000 a year. So it really pays to have multiple super in demand skills. So some of the skills you need for this are a background in scientific principles, proficiency in data analysis, and advanced problem solving abilities. Now, typically people are going to have to have a degree in something like engineering or computer science to get into this role. Some of the pros here are you get to do scientific research, which is exciting. You have the autonomy in conducting research from home and you have the potential for intellectual growth and making a meaningful impact. Some of the cons here are it requires significant dedication, patience and perseverance. It can involve long hours and intense intellectual challenges. And there is competition for research funding and opportunities. So overall, because of the fact that it is a pretty high barrier to entry, I'm going to give this one an opportunity score of 7.5 out of 10. The next one on the list is going to be a genetics counselor. So this is a really cool new career that's just emerged in the last few years. And basically you're going to help individuals understand their unique genetic profile. And you're going to focus on understanding genetic risks. So for instance, there's some people out there that can eat terrible food their entire life, lots of sugar, et cetera, and it doesn't really affect their health all that much. There's other people out there that are going to get diabetes in their 20s if they do that. And you can know which one of those camps you stand in by understanding your genetic profile. And in this position, you can make $163,000 a year. Now, the skills you need for this are a strong background in genetics, excellent communication skills, empathy and proper education and certification in genetic counseling. Now, typically you are going to have to have at least a master's degree in something like genetic counseling. You're also going to have to complete supervised clinical training. And you're going to have to get a certification from the American Board of Genetic Counseling if you live in the USA. So there is a pretty high barrier to entry here. But the pros are you get to make a positive impact on individuals' health and the health of their entire family. You have high earning potential and stability. And you can actually work remotely, surprising enough with this position. Some of the cons here are you have to deal with emotionally challenging situations and discussing sensitive topics. There's extensive education and training required to enter the field. And you have to stay up to date with the latest genetic research. So overall, I think this is a super cool career. I think there's a lot of advancement to be made in this field. I'm going to give it a nine out of 10 opportunity score. If you want to check out 21 more high paying work from home jobs, I actually made a list. And a lot of those are actually more on the entry level side of things. So they're easier to get into kind of at the entry level. And you can check that out by clicking right here.


Hey guys, welcome back to Comic Gen TV. We're all geek culture collides. I'm Shannon and today I'm gonna be doing a retro review for the 1991 Disney film The Rocketeer, so stay tuned The Rocketeer was a film from 1991 Distributed and owned by Walt Disney Pictures and directed by Joe Johnston. The film was a period piece Just like the comic it was inspired by. The character of The Rocketeer was created by Dave Stevens I will be reviewing the comic which inspired the film in a later video But as for now, let's focus on one thing at a time. The film takes place in 1939 Los Angeles and stars Bill Campbell as Cliff Secord aka The Rocketeer Jennifer Connelly as Jenny Blake Secord's love interest Alan Arkin, you know the guy who played Tim Allen's father-in-law in the Santa Claus 3 as Peavey Timothy Dalton the ugly James Bond as Neville Sinclair the villain of the movie Terry O Quinn Yeah, John Locke from the series Lost as Howard Hughes You know the real guy that inspired Tony Stark in Marvel comics along with many others Including Margot Martindale, who's that? Well, have you seen Million Dollar Baby? She played Hilary Swank's white trash mother Grandma Ruby in the Hannah Montana movie and several other characters over the years I almost forgot we even had Paul Kent himself from Lois and Clark the new adventures of Superman Eddie Jones who played Malcolm the mechanic the first person saved by The Rocketeer Personally, I felt The Rocketeer was a great movie for the time The only real downside is that the entire film takes place in about 48 hour time frame The entire character of The Rocketeer was designed to be a pulp hero of the 30s even though he wasn't created until 1982 what The Rocketeer had the other pulp heroes didn't was simplicity Cliff is a simple man who was nothing more than to make enough money to settle down with his girlfriend Jenny He didn't set out to be a hero He only wanted to make enough money to replace the plane that was destroyed by criminals instead He catches newspaper headlines when he has to save his friend who was only trying to save Cliff's job The villain gets word of it and then we have Nazis and the mob attack Cliff and Jenny in order to obtain The Rocketeer pack It's not that Cliff aspired to be a hero It's not even that he wanted to be a hero Cliff simply wanted to settle down with his girl and fly plane It was the events that unfolded that made him into a hero In fact, he wasn't even a hero not until he removed the gum from the hole in the rocket pack and caused him Claire to explode He was simply a man in love trying to save his girl Simplicity is something that's missing from movies today Everything today has to have some kind of subplot and backstory and what made the hero who he is and what made the villain Who he is instead with this film we have Nazis who are obviously the villains We have the mob and the FBI which are the middle ground that both hero and villain try to outsmart and end up working with Both hero and villain at some point in the film and then we have the hero who isn't trying to save the world He's simply just trying to save his girl just like John McClane in the first die-hard film Cliff was in the wrong place at the wrong time and being the man He is set everything up to unravel as it did as an eight-year-old kid when this movie came out I loved it. It came out at a great time in my life in 1990. We received Dick Tracy star in Warren Beatty in 1994 the shadows starring Alec Baldwin in theaters and toy shelves in 1996 the Phantom starring Billy Zane debuted and at the same time as the shadow I was introduced to the Phantom with the Phantom 2040. It was a great time in my life Here I was at the onset and in the middle of the 90s a time that I remember fondly I had known who Superman Batman and Spider-Man were for many years But these were new old heroes that I was just learning about each story taking place in the 1930s Each story which spoke to me as a child first was a man who wasn't super by any means a man with massive Rogues gallery armed only with a talking watch and a machine gun Next came a reluctant hero who could fly by strapping a rocket to his back with a world's fair style art Deco helmet amazing then we had one-time villain who became a hero that could control people's minds and an Ageless vigilante who's lived for centuries each of these films may suffer from aging poorly But I will always hold them close to my heart because they taught me to look further than just Marvel and DC Because there's an infinite number of universes out there with an unlimited number of heroes Just waiting to be discovered or rediscovered for a new age That's why I chose the rocketeer the shadow and the Phantom to be a part of our logo here at Comic-En Because they are what inspired our channel to be what it is today Next I'll be reviewing the rocketeer volume one and the rocketeer adventures volume one Followed by a comparison video where we examine both the original comic book and the film the rocketeer So tune in then guys take care Hey guys if you liked this video make sure you smash that subscribe button and click on the little bell to receive Notifications on all our upcoming videos Hit the like button make sure and leave us a comment so we know how you felt about this video And don't forget to share with your family and friends until next time. I'm Shannon from Comic-En. We're all geek culture collides


Live from Nice, France, it's theCUBE. Covering Dotnex Conference 2017 Europe, brought to you by Nutanix. Welcome back, I'm Stu Miniman, and this is SiliconANGLE Media's production of theCUBE. Happy to welcome back to the program CEO and founder of Nutanix, D'Rodge Pandey. The keynote this morning talking about how Nutanix really going from what a traditional bit, an enterprise infrastructure company really becoming its goal of being an iconic software company. So, D'Rodge, bring us up to speed as to how Nutanix positioned itself for this future. Yeah, I think it's been a ride of passage because you can start from AWS on day one. You have to sell books and sell e-commerce, be in e-commerce space, and it was a 20 year journey for them before they could get into computing and people took them seriously. So, I mean, little Apple with iPod and then iPhone and the iPad and then iTunes and App Store and all that stuff was a journey of 15 years before they could really say that they were right. I think for us, we had to build the form factor of an iPhone first so that people realized what this hyper convergence thing was before we could go and ship an Android as an operating system. Because if you had an Android operating system come first, just like Windows mobile operating system was around for a while and nobody really understood how to really go make money on it, I think we had to build the form factor first. And now that people grok it, we're like now we can really go and make software out of this and distribute software and make the Android version of the iOS itself. And that's the thing, I think, as a company we are challenged to balance these paradoxes. Oh, I thought you were an appliance company and you believe in this Apple-like finesse and polish and attention to detail. How do you apply that to an Android-like distribution model where you leave it to others to go and build handsets and so on? I think that's the challenge that we've taken upon ourselves. Now in XI, with the cloud service, we'll have a lot of control. With appliances, we had somewhat control because we at least knew what hardware it was running on. With software, we'd open it up. And opening it up and yet not giving up and the attention to detail is the challenge that this company has to actually really go and undertake. We are looking at a lot of our tools that we've built for certifications and passing the test, the litmus test for hardware. And we're trying to figure out how to automate the heck out of it, make them into cloud services so that customers can now go and crowdsource certifications. So there'll be some new paradigms that will emerge. And the reason why we are well placed for those kind of things is because our heritage is appliance. So now when we think of doing software, a lot of the tooling, a lot of the automation, the certifications, the attention and detail we had, we'll need to go and make them into cloud services. We have some of them, like Cizer is a cloud service, X-Ray is a cloud service, Foundation is a cloud service. So a lot of these services will then go and make the job of certifying an unknown piece of hardware easier actually. I mean, in fact, even day two and beyond, we have what we call NCC, which is a service that runs from within Prism to do health checks. And every two hours you can do health checks. So if there's a new piece of hardware that we thought we just certified, we need to keep paranoid about it, stay paranoid about it, to say, look, is the hardware really the hardware that we want it to be? So there's lots of really innovative things we can do as a company that really had the heritage of appliance to go and do softwares. Absolutely, people always underestimate the interoperability required. Remember when server virtualization rolled out up, the BIOS could make everything go horribly. Even containers could give you portability and run everywhere. Oh, wait, networking and storage, there's considerations there. Do you think it's getting into a point from a maturation in the market that the software, can you in the future take Nutanix to be a fully software company where you kind of let somebody else take care of the hardware pieces and then you just become their software and then their service software services? That seemed like a likely future? Yeah, I think with the right tools, right level of automation, right level of machine learning, right level of talk back. You know, I say talk back, I mean, the fact that the hard beats are coming to us, we understand what the customers are doing and with the right level of paranoia day two and beyond, which is NCC, for example, we call it Nutanix cluster check and it does like 350 odd health checks on a periodic basis and it raises alerts and things like that. So with the right level of paranoia, I think we can really go and make this work and by the way, that's where design comes in. Like, how do you think of X-Razor service and Foundation and Sizer and NCC and so on? I think that's where the real design of a software company that is also not being callous about hardware comes in actually. So I'm really looking forward to it. I think it's not just about tech and products, it's also about go-to-market because go-to-market has a change too. I mean, the kind of packaging and the kind of pricing, the kind of ELA's, sales compensation, channel programs, a lot of those things have to be revisited as well. So, I mean, there's upstream engineering and talk about, there's a lot of downstream go-to-market engineering as well that needs to be done for us. When it comes to go-to-market partnerships are key. Of course, there's the channel, you want to grow your sales channel and grow peace, but also from a technology standpoint, there's a comment I heard you make earlier this week. Google has the opportunity to be that next partner as like Dell was a partner to give you pre-IPO, credibility, Dell's trusted you. Dell, you have Lenovo, you had IBM up on stage there. As a software company, who are the partners that help Nutanix kind of through this next phase? I think you mentioned some of them already. You know, the cloud vendors will obviously open up, and there'll be new ones that'll open up over time as well, where we're thinking about ways to blur the lines between public and private. Because I think the world and including the public cloud vendors have come to realize that you can't have silos, you can't have a public cloud that's separate from the private and so on. So being able to blur the lines, there'll be a lot of cloud partners for us as well. I think on the hardware side, we already talked about all of them actually. Now HP and Cisco are right now partners in double quotes because we go and make our software work on it. But at some level, they'll probably also have to open up, and there's networking partners that have been working with, you know, Arista is a good case in point, Plexi is another one, and security partners. Like Palo Alto could be a very large one over time because we think about what firewalls need to look like in the next five years and so on. So I think in every way, I look at even Apache Foundation, which is not really a company, but the fact that we can really co-opt a lot of open source and build calm marketplace apps where the apps could be spun up in an on-prem environment in a single tenant on-prem environment. And we can drag and drop them into a Xi multi-tenant environment. I think being able to go and do more with Apache, to me it's the, I would say, the biggest game changer for the company would be, what else can we do with Apache? Because we did a lot in the first eight years. I mean, obviously Linux is a big piece of our overall story, you know, not just the hypervisor, but our controller and things like that is all Linux-based, which grows the pace of innovation for this company actually. But beyond Linux, we've used Cassandra and ZooKeeper and our RocksDB and things like that, what else can we do with Apache Spark and Kafka and MariaDB and things like that? I think we need to go and elevate the definition of infrastructure, to include databases and no SQL systems and a batch processing Hadoop and things like that. All those things become a part of the overall marketplace story for us. That's where the real interesting stuff really comes in. How do you look at open source from a strategic standpoint from Nutanix? I think it's been phenomenal because we have then operated as a company that's bigger than we are. Because otherwise, I mean, look at VMware, they don't have that goodness, nor does Microsoft actually. I mean, Amazon is the only one that really goes and makes the best out of open source. Explain that, we say, so Microsoft had a huge push into open source, especially kind of publicly the last two or three years, but they've been working on it. They heavily embraced containers, big on Kubernetes, heavily. I'm going to give you examples. I think there's a lot of architecture in what Microsoft is doing with open source. Of course, Linux has to work on Hyper-V. So that's a given. They cannot make a relevant stack without really making Linux work on Hyper-V. But they tried Hadoop on Windows, and Hortonworks actually even ported Hadoop on Windows, but they were not too many takers actually, you know? Containers will probably continue to make a lot of progress on Linux because of the LXC and LXD engines and things like that. And there's a lot more momentum on the Linux side of containers than they'll ever be on the Windows side of containers. And even Azure is running more Linux than they are Windows these days, so. Absolutely, now that being said, Azure Stack is still Azure Stack. It's still Hyper-V, it's still System Center and Azure Center and things like that. I think Microsoft will have to really redefine itself and change a lot of its thinking to really go and say we truly embrace open source like the way Amazon does, and like the way Facebook does, like the way Nutanix does. I think it's a very different way we look at open source very much like Facebook and Amazon than someone else. I mean VMware is way further away from open source in that sense, I mean vSphere overall. You know, I would say that it probably is Linux based. ESX is Linux based from 17, 18 years ago that I'm sure that CodePath has been forked forever. And it's very hard for them to go and uptake from open source from the overall upstream stuff, actually, that we've been able to do. I mean, our stuff runs on a palm-sized server. A palm-sized server, imagine, that's what we put in a drone and that's the foundation of an edge cloud for us in some sense, you know. Our stuff runs in an IBM power system because IBM was doing a lot of work with open source KVM that made it easy for us to port it to HV and so on. So I think HV has a lot more momentum because it shares that overall code base with open source as well. And I think over time we'll do many more things with open source, including in the platform space, or the PaaS space than ever before actually. Okay, how's Nutanix doing globally? You know, what more do you want to be doing? How would you rate yourself on kind of, Nutanix is a global company? I think it's a great question and it's one of those that's a double-edged sword actually and I'll tell you what I mean by that. So when you stop growing, non-US business becomes 50% because that's pretty much the reflection of IT spend. Half the spend is outside the US, half the spend is within the US. Right now we are 65, 35, which is a very healthy place to be in actually. I don't want this thing to change to like 50, 50, and because that's a proxy for how we stop growing actually. At the same time, I'd love to be shipping everywhere because, again, as I said, the definition of enterprise cloud is even more relevant in parts of the world that is not US actually. And in that sense, I think just being able to go and maintain that customer base outside the US, I mean, being able to do it, and I mean, like, we recently sold a system in Myanmar actually and I was telling my friends that look, now I can die in peace because we have a system in Myanmar and so on. But the very fact that they are partners and there's a channel community and there's technology champions and there are experts, there are certified people in these remote parts of the world. And the fact that we can support these customers successfully says a lot about the overall reach of the technology. The fact that it's reliable, the fact that it's easy to use and spin up and the fact that it's easy to get certified on. I think it is the core of Nutanix, so I feel good about those things actually. All right, you've reached a certain maturity of product market adoption and we've seen Nutanix starting to spread out into certain things, sometimes we call adjacencies. You talked about some of the different software pieces.  You got a question actually? So there's a really good book that I was introduced to about two years ago and it's also, there's some videos on YouTube about this book, it's called The Founder's Mentality and the YouTube video is called The Founder's Mentality as well and it talks about this very phenomenon that as companies grow, they become complex so they introduce a problem, it's called the paradox of growth. The thing that you wanted to really do was grow and that thing that you covered kills you because growth creates complexity and complexity is a silent killer of growth so the thing that you coveted is the thing that kills you and that's the paradox of growth actually in very simple terms and then it goes on to talk about what are the things that you need to do because you start as an insurgent company and over time you start acting like you've arrived and you're an incumbent now all of a sudden and the moment you start thinking like an incumbent you're done in some sense, you know so what are the headwinds and what are tailwinds that you can actually produce to actually stay an insurgent? I think there's some great lessons there about an insurgent mindset and owner's mentality and then finally this obsession for the front line how do you think about customers of the first class thing? So I think that's kind of one of the guiding principles of the company is how can we continue to imbibe the founder's mentality in there as well where every employee can be a founder actually without really having the founder's tag and so on and then internally there's a lot of things we could do differently in the way we do engineering the way we do collaboration. I mean these are all good things to revisit design not just the product design piece but organizational design. What does it mean to have two pizza teams and microservices and product managers and prism developers and calm developers assigned to two pizza teams and so on QA developers and so on. So there's a lot of structure that we can put at scale that continues to make us look small continues to have accountability at a product manager level so that they act like GMs as opposed to as PMs where each of these two pizza teams are like a quasi-PNL. You can look at them very objectively and you can fund them and if they start to become too big you need to split them and if they're not doing too well you need to go and kill them actually. All right. Derish, last question I have for you enterprise cloud. I think when it first came out as a term we said it was a little bit inspirational. What should we be looking at for the next year to really benchmark and show as proof points that it's becoming reality from Nutanix? It's a great point. You know obviously when Gartner starts to use the term a very close term, they've used the term enterprise cloud operating system and in one of the recent discourses I saw enterprise cloud operating model. That's very similar to system versus model but the operating model of the enterprise cloud is based on the tenets of a web skill engineering the fact that things are on commodity servers and everything is pure software and you have zero differentiation in hardware and all this differentiation comes in pure software, infrastructure is code. All those things were not going away. Now how it becomes easy to use so that you don't need PhDs to manage it is where consumer grade design comes in where you have this notion of prism and calm that actually come to really help make it easy to use. I think it's the core of enterprise cloud itself. I think obviously every layer in this overall cake needs more features, more capabilities and so on but foundationally it's about web skill engineering consumer grade design and if you're doing these two things getting more workloads, getting more geographies, getting more platforms, getting more features all those things are basically a rite of passage and you need to continue to do them over time. All right, well, dear Raj, I had a customer on and said the reason he bought Nutanix was for that fullness of vision so always appreciate catching up with you and we'll be back with lots more coverage here from Nutanix.next here in Nice, France. I'm Stu Miniman and you're watching theCUBE.


This is my Bolo. If you don't know about vintage scratch and sniff stickers, you should definitely get to know them. This is a single sticker that I sold today for $16.25 plus shipping. The buyer was all in for over $21 for one single scratch and sniff sticker, just incredible. And if you wanna learn more about scratch and sniff, I'm gonna pop a video up up here of when I found these and where I found these. And in that video, I'm gonna show you some others that sold, some have sold for over $100. So I will link that video in the description. Be sure to check it out and be on the lookout for scratch and sniff stickers. Thanks for watching.


I want to spend some time looking at the homologous chromosomes and I'm starting us here because these are the chromosomes we're going to draw. Remember, there are 23 pairs of homologous chromosomes in each one of your cells so we're simplifying this dramatically in order to be able to visualize and draw what homologous chromosomes are and we're gonna get a little more detailed here. I know that I've already said the words to you in the past. I think in the DNA lectures I think we talked about genes and forms of genes but now we're gonna layer that onto these homologous chromosomes and figure out how this even relates to genetic diversity.  But if you look at this, if you look at our little scenario, our little situation here, we've got homologous chromosomes before and after S. We can either draw them as one little log or we can draw them as an X, a log X, an X log. I kind of feel like maybe we'll end up drawing them both ways. Maybe we will because that way it makes it a little bit easier because I don't have to draw the X logs but the X logs are gonna have the exact same thing going on here. I drew a homologous pair. They're not identical to each other in my drawings because I'm not a very good iPad drawer but it's good enough to illustrate that these homologous chromosomes are the same. Now I'm just gonna draw another pair of homologous chromosomes just so you see that okay they you can definitely tell now that these guys are homologs and these guys are homologs. Homologs. Remember one of them came from your egg parent and one of them came from your sperm parent. That's and that's inside you. That's inside your cells. So let's make a note of that. This is inside you and so my colors that I'm showing you are let's just say green from sperm parent and red from egg parent. That means that this little green guy came from sperm and this little red guy came from egg. There's so many ways we could illustrate our chromosomes. They don't actually come in colors. You can't actually tell which one came from your sperm parent and which one came from your egg parent but if you look at your egg parents DNA you have one of their chromosomes. One copy of each one of your chromosomes came from your egg parent and the other copy came from your sperm parent. Now this is the weird part because we're gonna draw these out. We're keeping track of our egg parent, our egg parent and sperm parent when producing our own gametes that will make little humans out there who could make little humans out there who then got my sperm parent and my egg parents genetics. Okay. It's a little weird. Where does the diversity come from? Well we need more, we need more, we need more language. We're cool chromosomes are strings of DNA. We're cool that we wind them up around histone proteins to get these little logs. That's awesome. What we haven't talked about yet is that each of these chromosomes has genes on them. Okay, we have talked about that. DNA, a strand of DNA that codes for a protein that does a thing is a gene. I'm illustrating genes for you in purple. Homologous chromosomes have the same genes. Did you hear that and do you love me? If this purple gene I just drew I'm gonna just call it the A gene. I don't even know if I want to do that yet. I'm gonna call it the A gene. I did that on purpose. That gene can have different forms but that gene does the same thing in both chromosomes. So if we were to say, okay the A gene, okay that's specific. That's the name of the gene. That's not a random gene. It is the A gene. The A gene causes I don't know eye color. Eye color is the trait that we're looking at. Okay and the A gene codes for the proteins that impact eye color, the trait. Do you have different forms? Do you think you have different forms of the eye color gene? Yes, you can have big A or little A. These are alleles. I'm gonna put it in a different color. These are alleles of a gene and again I know that I've talked to you about this. I know we've named the word allele and said it is a form of a gene because you can have blue-eyed alleles and brown-eyed alleles. So you can have different forms of the gene that codes for a trait. Please, it is about a million times more complicated. Heredity in humans is absurd. It's absurdly complicated and traits are not coded for by one gene and we're going to spend three lectures talking about heredity and how this happens but we need these words in order to understand why meiosis matters. Why go through all these weird processes because it's about genetic diversity. Okay, I'm gonna draw because I love you. I'm gonna draw one more gene. I'm gonna draw a gene on the little guys and we're gonna call this the B gene. We'll have a big B and a little B and we could say the B gene codes for hair color. The A gene codes for eye color. The B gene codes for hair color. The B gene has different alleles. You can see that the egg and the sperm have different alleles. What does sister chromatids look like? If we were like, okay you think you're all cool. What does it look like if we add a sister into the mix? It's easy. Sisters are identical. Sisters have the same genes. Sisters have identical alleles. Yes, that means that your sister chromatids are identical to each other. Homologous chromosomes, same genes. So what do you call that? I mean that they're the same but different alleles but different. All right, homologous chromosomes are wild. Keep track of them because we're gonna go through meiosis one. Two, just two stages of meiosis one. We're gonna look at prophase one and we're gonna look at metaphase one because that's where the big things happen. That's where the big differences take place and everything else, glory days, is just like mitosis.


Welcome to All Hands Update. Here's what's happening around your Navy today. Vice Admiral Phil Cullum, Deputy Chief of Naval Operations for Fleet Readiness and Logistics, announced 29 winners for the Fiscal Year 2015 Chief of Naval Operations Environmental Awards Competition. The C&O Environmental Awards are an annual recognition program that highlight exceptional achievements in environmental care. CBs from Naval Base Ventura County gathered at the Ronald Reagan Presidential Library for the 74th annual CB Ball. More than 1,000 active duty, reserve and retired CBs packed two floors of the California Library to commemorate the CB 74th anniversary. Retired Navy Captain William Bundy spoke at Naval Surface Warfare Center, Dalgren Division in Virginia, to celebrate the lives and service of African-Americans, especially those who died in combat. Throughout the month of February, the Navy is celebrating the history of African-American sailors during Black History Month. You can read more about what's happening around your Navy and Navy.mil.


Hello everyone and welcome to the BioXL webinar series. My name is Rosen Apostolov and I will be today's host. As you know, Gromis is one of the most widely used applications for molecular dynamics simulations and for a long time there's been an interest in developing an API for controlling and extending. Luckily, we already have today Eric Idan from Newestiel, Virginia who will present his work on the development of this API. Before we start the main presentation, I have to tell you that this webinar is being recorded and a recording will be posted on the BioXL website and on our YouTube channel where you can watch again later or you can share with your colleagues and friends. I'd like to give you a very brief overview of BioXL for those of you who have not visited our webinars before. BioXL is the center of excellence for computational biomolecular research. It's a distributed consortium of 11 partners in Europe. We work in three main directions. One is on the development of three main codes used for molecular modeling simulations. These are Gromax, which you know very well. Hadoq for docking and integrative modeling. Some of you might have used it for drug design, for example, and CPMD where we work on hybrid QMM simulations. BioXL also develops different workflows and packages that improve the productivity and efficiency of researchers. We also do a lot of training and we provide consultancy services to promote the best practices for the usage of these applications and the developed workflows. We're running a number of interest groups of different topics in the wide area of biomolecular research. Some of these interest groups might be of particular interest to you. So we welcome you to join any of those that are interesting for you. You can visit our website. We have support forums. We share most of our code. We have a chat channel, so feel free to contact us. At the end of today's presentation, we will have a Q&A session. So during the presentation now, you can use the control panel of GoToWebinar and you can type in your questions while the presentation is going. At the end of the talk, I will give you the microphone. I will let you speak to Eric directly and ask your questions. If you don't have a function, I will read the question on your behalf. And of course, after the webinar, you can always join us for a discussion at ask.bioxcel.edu. With that, I'd like to present you Eric Irgan from University of Virginia, our speaker today. Eric completed his undergraduate studies at the University of Texas and he did PhD in materials science and engineering at the University of Michigan. After that, he joined Castle Lab as a postdoctoral fellow and he's been working on the development of interfaces for extensible molecular dynamic simulations. He is applying and is proponent of best practices for software engineering. And he's also supported his current project by a fellowship by the Molecular Science and Software Institute in the United States. So with that, I would like to welcome Eric and I will give him the opportunity to start the presentation. Hi Eric. Hi, thanks. Yes, I'm a postdoc under Peter Kassen at the University of Virginia and I'm wanting to talk to you folks today about a project that was begun under an NIH grant in international collaboration with the University of Colorado and the University of Virginia and KTH Stockholm. And that continued under a Molecular Science and Software Institute fellowship. And I recognize the names of a lot of the attendees here. I think we've got the right audience here. But I think people have different ideas of what they are looking for in an API for Gromax. And sometimes the differences is people are thinking at rather different levels of access to Gromax. My current project is addressing interaction with Gromax at a few different levels that we're trying to keep discreet and I'll explain that more in a moment. The bio, I guess I gave a little bit of my background before the Kassen lab, but the group I'm in right now is focused on biomolecular sciences questions. And as we all know, the most interesting and most useful topics are really hard. We are like many people working to combine experimental processes and data with advanced computation techniques to try to tackle problems and infectious diseases. The Kassen lab is particularly focused on the biophysics of infection processes and we try to apply large scale simulation and data processing and machine learning to try to apply and develop new methods to tackle these tricky questions. As a lot of folks here probably are. And like many labs over the years we've developed a lot of our own in-house software and in-house tools while also trying to cobble together community tools with varying levels of compatibility. Trying to both benefit from the community tools and contribute back to the community, but we do end up of course with a lot of modified source code that's hard to maintain in different forked versions of Gromax, for instance. So what we tried to do was to put some effort into some abstraction layers so that as our graduate students are developing their methods or their workflows, they can do so without producing a lot of stuff that's hard to maintain or hard to contribute and so they can concentrate on the work that's most important to their research while we look for the right abstractions to independently interact with other tools without sacrificing performance. So what that looks like is we found some use cases that together addressed some research needs in our group while allowing us to explore the beginnings of a toolkit to make easy to use scriptable Python interface to complex Gromax based workflows, but to use Python as a front end to machinery that interacts mostly at the C++ level and tries to use integration with the native Gromax code to avoid sacrificing performance and I feel like I hardly need to motivate the topic to this audience but bear with me a moment just looking back at the past bio Excel webinars. I see other cases where people have had to modify Gromax source code and then have a hard time trying to keep it maintained or keep it integrated and other projects trying to tackle the workflow issues. Sometimes these are integrated tasks and sometimes they're not this this talk from earlier this year particularly caught my attention. I think I remember during the Q&A the author had described that the code extended Gromax but it sounded like there was some trouble keeping it maintained but there's a lot of great methods being implemented in this sort of project and other folks are concentrating on workflow management in various different ways. There was a recent talk about common workflow language and another project that is working to integrate different tools and try to help connect all these pieces and so in short I'm trying to make Gromax more flexible and more free in a way while keeping it fast and a few of the sort of sample scenarios to set the stage the sort of pattern that that I've been seeing over and over are a few different kind of general situations. There's adaptive workflows. For instance, I think can be maybe schematically represented something like this. You start with some sort of dynamic setup, do some simulation then have to manage trajectories and generate new inputs and launch additional simulations which ends up being a big management issue but if that's also coupled with complex analysis tasks you can end up doing a lot of work that both do both shuffle data around and manage the tasks but also to try to integrate the analysis code with the simulation for performance reasons that can end up being a problem for the first research project that we applied ourselves to here. We started with some work that had been done by a graduate student in our group that was the work was based on Gromax 2015 release I believe and it was getting harder and harder to continue to develop it and it wasn't getting any closer to something that we could really contribute back to the community. So to describe that work a little bit we were working with spectroscopists who had data describing the conformational ensemble well they were able to get spectroscopic data describing an interesting part of the conformational ensemble of a biomolecule and we wanted to understand the parts that couldn't be probed experimentally so we wanted to better sample in simulation this is similar to other problems that other people have tackled but there wasn't at the time anything integrated with Gromax to perform this restrained ensemble simulation so we looked for a way to migrate that code just to flesh this out a little bit the idea in this sort of a workflow is that we have an experimental distribution of some measurable in this case it's the pair distance between some spin labeled residues we have the experimental data for the part of the conformational ensemble that we're interested in the simulation use the historical information of the simulation data and the reference data from experiment and iteratively refine a bias potential that allows us that once it converges allows us to focus on the interesting part of the conformational ensemble so by the time we finished this proof of concept running a simulation of this sort consisted of really just a handful of python commands to drive it plus some C++ code to implement the additional forces and I've talked about performance a bit one of the key things is that the python front end largely sets up a description of the work that's going to be performed and then allows the work to be dispatched altogether and connect pieces that can all be implemented in C++ connect them directly to each other and flexibly dispatch the work to some other sort of scheduler so what that ends up looking like is that with the first command here you would start to describe this work graph that includes an operation to open some input file and attach that to a description of the molecular dynamic simulator and then the researcher or someone who's exploring our sample code repository can load a module that's completely separate from Gromax it's built against the Gromax installation but it's a separate chunk of code and the python interface allows to get a python handle to the code that implements this restraint attach it to the simulation schematically at least and then once the workflow is done the graph of interconnected computing components is fully described then it can be dispatched to run and to the way this works I mean on the right side I've just shown sort of schematically the details of this are that the python commands build up a simple data structure that's easy to interpret into a directed acyclic graph of operations and interdependencies and it's as simple as possible because it's easier to separate the user interface and the implementation this way but also we hope that with it being simple as possible it can be very clearly described in a specification so that if someone wants to use the computing infrastructure we've developed but with a different front-end tool it would be easy to write a connector or alternatively if the python interface is helpful but someone wants to attach additional code there's not a whole lot of parsing they need to do and importantly we think of this as a middleware layer that makes it easier for us to write connectors to different work dispatchers or other either workflow management software or resource management software that perhaps some of you are already actively developing so the end result again in our specific research case is that the researcher has written some code that can calculate the forces to be applied and that's all it does is it takes atom positions as input calculates a force according to the potential that the researcher has expressed in a few lines of C++ uses a couple of additional resources to allow an ensemble of simulations to share their historical data share their statistics and collectively update the bias potential they're applying to continue for another simulation segment and then to do this repeatedly until convergence so out of the box the python package that we've developed this is the version from the manuscript is GMXAPI 0.0.4 so just out of the box the basic functionality is to be able to load a single simulation or a batch of simulations and easily run it with some additional options to configure the runtime environment as you would with MD run command line fights and we've intentionally tried to separate the sort of user interface and management stuff from implementations of any interesting methods and for instance the cool part of the method that was developed is in a separate repository as a sample code and the way well this is a simpler version of well this is a simpler restraint just for illustration purposes it's also in the repository but it's just there for demonstration really and this is just what it would look like to write a simple chunk of code that calculates the harmonic force between two particles that aren't necessarily short-range non-bonded pair but just arbitrary pair of particles somewhere in the simulation which is a facility that might not seem that interesting but we can build on it a lot and it's not something that was previously in Gromax without extending some pretty extensive and intricate infrastructure that is in Gromax and would require branching the code, recompiling and maybe the argumenting so the key points here are again you get a handle to the description of the simulation you want to run starting with a standard input file then get a handle to a custom chunk of external code attach it to the simulation and run it. The current version is 0.6 it's available on github right now there's sort of three pieces this URL goes straight to the python package that is dependent currently on a forked copy of Gromax that is also linked there we are working to make that work less and less necessary and get the primary distribution of Gromax caught up with the functionality that we've introduced because the whole intention here is that this would ultimately be completely part of the Gromax project and the official releases should work with their published functionality so we may have to keep Forks active for a while to make the latest and greatest features available. Some of the things to call attention to in the current release of the python package are completely CMake driven install that should be easier than the package that was published improvements to the sample code which is in that third repository and in addition to being able to run either uncoupled or loosely coupled ensembles of simulations that can reduce data collectively and update. We've also added the ability for plugin code to issue a stop signal to the simulation in which the code is running for situations where the plugin code may or may not be applying forces but is doing some sort of analysis on the fly and looking for some sort of convergence condition for instance. In that case you wouldn't necessarily be running for a fixed number of time steps but stop on achieving convergence and the workflows that we're developing right now use a mixture of these exploratory trajectory segments that run until some sort of convergence condition refining parameters that are then used in other plugin code and launching branches of simulations with those parameters. So we're working towards some we're trying to enable some interesting workflows and we're expecting GMX API 0.0.7 to be based on functionality in Pro Max 2019 we would like compatibility to the extent that simulations from the MB run command line versus from the Python interface have exactly the same behavior because they're running on the same underlying code base and such. So what else is in the future? I mentioned both the I think a much requested feature to be able to stop an MD simulation from code implemented externally to Gromax. We are considering that to be one of a special case of much broader set of data flow sorts of features where the nodes and the work graph have distinct input data and output data that can be bound from one node to another through the simple expression at the Python level that's then captured in this intermediate data structure all of the different C++ code can be properly bound when the work is dispatched and to reiterate the thing there is this sort of thing people have been doing this sort of thing for a while with Python wrappers or even shell scripts to try different ways to collect output data and make it easily accessible as input data but what we're trying to do is to allow that to be abstractly represented in Python or in intermediate middleware API while allowing for an implementation that doesn't necessarily rely on the file system doesn't rely on simulations totally tearing down and starting up again not just within the same HPC job for instance but even within the same process I mean like CPU process without tearing down such. How does this look I want to spend a moment I guess talking about the lower level API and implementation because some folks are going to be particularly interested in how the plugins work we've provided this Python package that uses PyBind 11 for Python bindings but our goal is not to insist that that anyone should have to derive from our Python classes or depend on our Python module in order to interact with this API and plenty of people already have great Python interfaces that they're happy with and maybe implemented bindings with some other package like SWIG or maybe even directly with the API for Python so we try to make sure that the bindings protocols for the C++ objects that researchers write and for the C++ interface in Gromax so that's simply and clearly specified so that anyone can implement bindings however they want and they're free to either use the Python package that we've provided to glue everything together or implement their own stuff so this is just an example of how it's implemented in our package and if you've got your own preferred method of Python bindings hopefully it's as simple to do your favorite way without any dependencies you don't want so this would be this is a chunk of code that's out of the Python package this is the corresponding chunk of code out of the sample code that we've provided in our sample restraint repository and what this does is just declare the Python side of the simulation and the plugin code so that Python can tell the compiled code or the compiled objects about each other and get them speaking to each other through the C++ interface and once that's done the Python C API is used to start with the Python API let that turn into a C++ conversation and then the C++ objects know about each other and can sit there and wait for the later API call that tells the simulation to start and researcher doesn't need to worry about that necessarily that's more information for someone who's already got a thinking about how their package with Python bindings might interact with ours but it also I think illustrates to some degree how we've tried to separate code development responsibilities in a way we think is appropriate the researcher doesn't have to think much about how their plugin gets its Python bindings or how it talks to the Gromax instead if someone wants to implement their own plugin like the Restrained Ensemble plugin for instance the main thing they have to do is just implement a calculation function with one of the document call signatures. At this point there's a little more boilerplate to copy and paste than I would like but it really is just boilerplate it's not a whole lot of custom code and we're working such that in future simulations there's less and less of that in future versions there's less and less of that boilerplate more stuff moved to headers that are in the the upstream packages like Gromax rather than in the sample code the researchers code base and to use more templating and such so that when Gromax or other packages are updated the researcher may have to recompile their code but any API changes that were unavoidable are hidden they just get dealt with by the headers so I think there's going to be a lot of time for questions but to yeah just to recap a bit we we built a collaboration with the goal of providing different sorts of API access for people with various API needs we found a research question that required as many of those use cases as we could find to make a sort of a sample implementation and give us an excuse to develop the most core features which we released as GMX API 0.0.4 in March and the bioinformatics applications note is in early access publication now waiting for an actual issue to appear in and that was co-authored between by me and Jennifer Hayes graduate student in our lab and Peter Kassen the project the biggest part of the project was started under a national institute of health grant that established a collaboration between Pascal Mertz and Michael Schertz at the University of Colorado Boulder and Peter Kassen's group in Virginia and KTH the GROMACS team over at KTH and Stockholm of which Mark Abraham has been my close contact and collaborator and I also want to thank Jessica Nash who is my counterpart through the at the molecular science and software institute who's a great resource along with the other resources that I've had as a result of the scholarship. KTHUB URL, like I said there's three repositories but you should be able to find them all through the main entry point there and we hope that this project is of some immediate use to you but also clarifies some of the directions in which we're expanding our energy and the sorts of functionality that we hope will be more natively accessible in official GROMACS releases in the future. Before I say any more, I suppose I should find out what you folks are most interested in. Yeah, thank you Eric. This is Rosen again. So it's a very great software we're looking forward to start trying. We have a question from someone. Let's see if we can get an audio. Hi, can you hear us? Hello? Yes. Which algorithm is used for this simulation here? Which algorithm is used for the simulation? Different algorithms for simulations but particularly we must carry which algorithms are used in these specific algorithms? The main descriptions and the figures I showed are from an implementation of an algorithm based on that of Benoit Rue that was simply called the restrained ensemble method and it's more completely described in the work by Jennifer Hayes who adapted that for GROMACS for research. Thanks Eric. I was wondering if users start trying out the code and play with what's the best place to find help if they have questions? Will it be through GitHub? What's the way to communicate with private mail? You're welcome to send me a private mail but I think the new tracking system on GitHub is pretty on top of that I think. So anyone's welcome to the I1 issue and I'm totally open to suggestions of other communication channels that doesn't seem preferable. As we move towards more integration with GROMACS, I expect a conversation will probably move in the direction of the GROMACS issue tracking system. Right now, either the issue tracking system on GitHub or totally fine. There is documentation you can build in the project that's also built and linked to GROMACS.org. Again, a lot of the interesting stuff that we're trying to enable with GMX API has sample implementations in that separate sample restraint repository that's linked from the main repository and that repository in turn has some sample strips, some sample Jupyter notebooks and documentation in the code itself as well as there should be links to Docker images if you just want to get something going quickly and just kind of poke around and try the examples or see what it looks like. Thank you. We have another question from Ludovic Let's see if we can get a audio connection. I guess his audio is not working. So the question is are there any plans to build visual workflow on top of GMX API? My personal interest is both object oriented and in a nice simple procedural Python interface built on top of that. But like I said I'm trying to make it as easy as possible to integrate with whatever other efforts people want to make at any level, whether it's a high level interface or some part of the implementation. Trying to make the fine work with that. I'm not aware of any visual workflow tools that I've had a chance to talk in particular yet, but there's definitely if someone has a favorite workflow manager or something like that then I would love to try to make it as easy as possible to integrate and leverage the efforts of the different projects. There's big opportunities in that space for extending If I could expand on that for a moment, I think in the past bio-excel web presented projects that do a great job and really thoroughly go into sort of one level of interaction with the molecular simulation workflow and it may be that there's one level that that project is particularly excited about or particularly good at compared to other projects, but it seems like everyone is forced to deal with more layers of the software stack than maybe is productive. I think the biggest thing that we might accomplish in the context of those other projects is we need to make it easier to apply those more general packages to Gromax without having to wrap the command line or work with a branch of Gromax and to still get native performance without spending a whole lot of time working just on integrating some package with Gromax instead of the higher level or advanced workflows that the projects are really focused on. And so we have the I think we can provide a good Python interface at several levels to that functionality that we make access to and I hope it's useful to people but like I've said, I definitely don't want to compel people to use the interface if they have a better mind or one that suits their purposes more. And yet if there's a chance to use both the Python interface aspects that we've provided as well as Python interface for a package to be integrated then that would be great too. We're trying to make the inter-operation between different sorts of bindings as easy as possible and the data exchange as high performance and easy as possible. Thanks. We have one more question from Adam. Can you hear us? Adam? Hi, yes. Thanks, Ross. So my question is a general one. Do you think in the future as the GROMAC source code changes it's likely that there will be updates required to keep this API in sync because it's not just about sort of building a command line or building a parameter file and then running the program. It seems to be deeper than that. Is that correct? Yes, exactly. So I mean that's the problem we're trying to solve essentially is we're not the first people to make a Python interface that lets you steer a GROMAC simulation and we're not the first people to steer a GROMAC simulation but in conjunction with developing this Python package we are working specifically with the GROMAC project to develop the appropriate GROMAC level C++ API that we can build on and try to use, try to get the necessary infrastructure into the core GROMAC installation. So my goal for the coming year is that well we're in the process of integrating some of the GROMAC infrastructure that we've developed with the idea that you would be able to install GROMACs and then install the Python package and if you then upgrade GROMACs at most you have to recompile the Python package and moving forward ultimately the idea would be to have the most basic sample bindings in the GROMACs core project so that it's always in sync and we're trying to move as much of the implementation as possible down to the C++ level so that it's infrastructure that's shared with the command line tools and the other parts of the GROMAC project. The maintenance nightmare is what we're trying to avoid and trying to tackle and then like you say there's the other part the plugin code definitely operates at different levels. There's the Python side which for plugin we want to basically provide some tools so that the Python interface is basically generated for the researcher and then just work on the C++ side but the C++ code we're both introducing abstractions between the MD the computation that supports the molecular dynamic simulation so that it's if you have a task that's as simple as calculating a force based on a vector then that doesn't inherently depend on any details of GROMACs so where we can we are trying to abstract out these different types of calculations so that we can quit the most stable API on the GROMACs core and to the extent that there's instability there we can also provide adapters probably in the form of template headers so worst case scenario the researcher would just recompile the same plugin that they've already written against the new copy of GROMACs and with the updated template headers it would just recompile and work with the new version the compatibility will improve over time but already we were able to migrate code that was tightly coupled to GROMACs 2015 into something that has no appearances of being coupled to any particular GROMACs version and then eliminated a lot of lines of code this is for that restraint ensemble potential that I mentioned and in fact right now it's not built against the most current version of GROMACs but as we continue to migrate that infrastructure and get things updated I don't think the researchers code is going to change I don't think it's basically going to be installed in the new version and recompile and that's it. Great, thank you. Thank you and we have another question from Ludovit does the GROMAC API provide any utilities or helpers to prepare input topologies specifically interested in setting up large simulations like for instance the HIV cap site and even larger systems? That's a great question and I wish the answer were yes absolutely. With the 0.0.7 release and upcoming work for the rest of this fall we're going to be spending a lot more I'm going to be spending a lot more attention to input preparation and tools to set up the simulation because we want to be able to better help people run adaptive workflows and stuff it's actually pretty essential that we have more public easy to use stable tools to manipulate inputs so the same code that's being developed to connect different parts of a simulate analyze type of workflow or an adaptive workflow those same tools can be used just for general simulation preparation but no it's not in GMX API yet there are people who are working on such tools with an awareness of the possibility to integrate soon with GMX API so I hope that we see more of that this fall but right now we have to rely on other tools. Thank you Eric. These were all the questions we had until now so before we finish can we go to the next slide? I'd like to tell all of our audience that we have two more webinars coming up in the next few weeks so the 4th of October we will have Marc Baden who will show us some pretty cool way of 3D visualization of biomolecular structures so you're welcome to come and enjoy the presentation in a week after that we have Katlin Banan who will present us the SNIRNO format which is part of the open force field initiative a new take on helping all these different desperate format that are being used for molecular structures so everybody is welcome to join us for this and I'd like to thank everybody who joined us today in this talk we are looking forward to follow the developments of GMX API and we will have another presentation in the near future Thank you. That's all for today. Bye


Hello and welcome to the session. In this session we discuss the following question which says a man sets aside $2,000 at the end of every year for 12 years from his car. If the rate of interest is 10% per annum compound interest, what is the value of a sinking fund? First of all we will discuss about the sinking fund. It is a fund which is created by investing some amount annually at compound interest for a certain period. We can also say that it is a fund created to discharge a known future liability. Now if we suppose that the small a be the sum invested at the end of each year and this capital A be the liability to be discharged and this r% be the rate of interest and we get i r upon 100 then we can say that the amount of annuity and this is given by the formula small a upon i into 1 plus i to the power of n minus 1 the whole. So this capital A is the amount of annuity A payable for n years and it is given by this formula which is same as the liability to be discharged after n years and this is the value of the sinking fund. So this is the key idea that we use in this question. Let us now move on to the solution. I think the question we are given that the man sets aside $2000 at the end of every year for a period of 12 years to purchase a car and the rate of interest is given as 10% per annum and we have to find the value of a sinking fund. Now as the man invests certain amount of $2000 at the compound interest of 10% for a period of 12 years so this shows that a sinking fund is created and we have to find the value of the sinking fund. For this we would use this formula as from here we have the small a is the sum invested at the end of each year. So for this question the small a is equal to $2000 percent which is the rate of interest per annum is 10% per annum. Now n is equal to time for which the sum is invested that is 12 so n is equal to 12. Now i is equal to r upon 100 that is 10 upon 100 which is equal to 0.1. So we have the value of a sinking fund same as the amount of annuity which is capital A this is equal to small a upon i into 1 plus i to the power of n minus 1 the whole. So we will put the respective values here. So we get a is equal to 2000 upon 0.1 into 1 plus 0.1 to the power of 12 minus 1 the whole. Further we have a is equal to now we remove this decimal so we put a 0 here. So a is equal to 20,000 into 1.1 to the power of 12 minus 1 the whole. Let us now find out the value of 1.1 to the power of 12 using logs. So for this we take let x be equal to 1.1 to the power of 12 taking log on both the sides we have log x is equal to 12 into log of 1.1. Now further we have log x is equal to 12 into value of the log 1.1 which is 0.0414. So further we get log x equal to 12 multiplied by 0.0414 which comes out to be equal to 0.4968 and from here we get the value of x as nT log of 0.4968 which is equal to 3.139 this is the value of x that is the value of 1.1 to the power of 12. So putting this value here we get a is equal to 20,000 into 3.139 minus 1 the whole. This gives us a is equal to 20,000 into 2.139. Now we remove this decimal and we write here 1000 these 3 0 comes with these 3 0 and so we have 2139 multiplied by 20. So this gives us a is equal to 42780. Hence the value of the syncing fund is equal to 42,780 dollars. So this is our final answer. This completes the session. Hope you have understood the solution of this question.


on to some high school wrestling. Staples Motley hosting United North Central and Cardinals Alex Erpilding looking for a school record, 171st win and it doesn't take long either. Only about 10 seconds in. Erpilding takes down United North Central's Mason Bradley for his 103er pin. And there's the record-breaking win as well. Breaking those school records which had lasted for 18 years. Congratulations to him. But United North Central gets the win tonight. 38-233. Here's Erpilding after that. It feels great. I don't really know what's coming off, but I'd have paid off. If you've enjoyed this segment of Lakeland News, please consider making a tax deductible contribution to Lakeland Public Television.


After 7 years, 6 seasons and 3 different cast of actors, Netflix's The Crown has officially come to an end, and after the 5 strong seasons that came before it, were they able to stick the landing for one final send-off? We're ready ma'am. I'm Matt Rogers and join me as we take a look at part 2 of the final season of The Crown and discuss how they wrapped up this sprawling series, and spoiler alert for the entire series if you haven't yet finished it. Now I'm bringing you weekly videos covering the best and worst of movies and television and delivering it straight to your subscription feed, so to stay up to date and support the channel be sure to hit that like button, subscribe, and ring that bell to not miss a single thing. Well I've been saying for some time now that we could expect part 1 and 2 of season 6 to be really emotionally heavy, but I don't think many of us were prepared for this. This season held no prisoners and took no breathers, and this really emphasised how strong the Queen had to be during this entire period of her life. Part 1 of this season was focused primarily on Princess Diana, culminating in her tragic death. Check out my review on part 1 if you haven't done so already. And viewers assumed that part 2 would have the Queen step back into focus, but what really surprised me was the focus still remained off of her for the first few episodes at least, and shifted to her grandchildren Harry and William, and the Will's mania that followed him everywhere he went after his mother's death. As much as I was itching to see more of Staunton, I do understand why they used Will's viewpoint rather than the Queen's, as it really delved into how her boys felt rather than the royals and the rest of the world. As much as this was a tragedy that affected millions around the world, this was their mother, and Charles was really the only one close to understanding how Will and Harry felt.  Harry really is shown as the total antithesis of Will in so many ways, I guess that is telling of how they ended up later in life. Just Will makes his best attempt to live a normal life at university, meeting the beautiful Kate Middleton whilst in attendance. The spotlight finally swings back to Queen Elizabeth, and her ever ongoing predicament regarding the relevance of the crown, and whether the correct answer is to adapt or to remain with tradition and be the country's foundation that the Commonwealth has come to expect and depend on. As it has in the past, the Queen's opinion on this matter does waver, but after having everyone's input from both sides, she maintains her resolve and powers forward as is, now with more purpose and motive to do so. It was really interesting to see those positions that the Prime Minister aimed to remove, and the love these people have for their hereditary professions. They of course sound pretentious if you're just hearing their titles, but when you put a face to their name, a passion to their name, it's easier to understand why their positions weren't just thrown away and abolished. The insecurity and humbleness the Queen showed towards Tony Blair was a sight of her that we don't see often, but really if relevance is what she was seeking, who better to win over the public? Not that it did him any favours a few years later. Speaking of Blair, I remember a behind the scenes video that was going around a while ago showing the Queen walking the streets as they removed her face from various locations. It was thought this was a dream sequence where she was imagining life after her death, but this was instead her insecurity about Tony being seen as King rather than her. But the Queen's attention is then shifted to one of, if not her closest friend, Princess Margaret, whose health scare whilst abroad is enough to scare the family more than Margaret has many times previously, but then her health quickly deteriorates as the strokes become more frequent and debilitating. The framing of this episode is expertly done, as it's centred around one particular night in the Ritz, where a young Elizabeth is seen enjoying Margaret's type of lifestyle if only for a night. This method of using flashbacks to tell this story throughout the episode is so well chosen, as it shows the closeness the sisters have always had whilst also showing the type of woman Queen Elizabeth had to put aside in the name of duty. This episode was completely emotionally exhausting, as it was relentless in how it showed the events of this time period. After the princess' strokes started, they were constant and her physical decline only accelerated from there. We then hear about the events of 9-11, one of the Queen's closest friend Porchy dies and then the Queen is obviously nowhere near the point that she's ready to say goodbye to her sister, who has been with her for as long as she can remember. We see some beautiful and heartfelt moments between the sisters before current day Margaret is seen saying goodbye to Elizabeth as they go their separate ways. In the opening scene of the following episode follows the death of the Queen's mother, which is almost too much loss for one person to handle. But let's take a beat to talk about the casting, I've said it many times before and this season was no exception, for the most part. William and Harry weren't the closest looking to their real life counterparts, although their mannerisms and performances in general still were. But the young Queen and Princess Margaret, those actresses were uncannily similar to Claire Foy and Vanessa Kirby, it almost seemed like they were deepfate, it's incredible that they can find actresses that have such a close resemblance. In the final few story arcs we got an unexpected look at the scrutiny the royals faced over Diana's death and the unfortunate choice of party outfit that Harry chose, all this leading to the grand finale. We all knew that Claire Foy and Olivia Coleman would be returning to close out the series but we didn't know when and we didn't know how. It was so insightful to delve into the Queen's thoughts through the catalyst of conversations with her younger self, giving us an actual interaction between these three powerhouse actresses. These scenes were such a good character study showing how she views herself at different points in her life, young and middle aged and why she never chose to step down as monarch. There was a huge emphasis on death and legacy here which I can't help but think was added or at least modified to fit the series after the real life passing of Queen Elizabeth and that ending scene. The vision of her own funeral, pondering her legacy and viewing her own coffin whilst the actual song from her funeral sleep-deary sleep plays, finally being joined by all three actresses before she leaves the chapel. A perfect ending paying homage to all the actresses that came before, the finale really tied together everything that came before and made the whole season for me and maybe the best episode in the series as a whole. Now that the show's over, I did another poll asking who was your favourite actress to play Queen Elizabeth and as of now, Claire Foy is in the lead by far and now that all the queens have completed their two seasons each, I guess this is the final result. And that's it, the reign of the crown has officially come to an end so I want to know what you thought of the final season. Was it everything you wanted it to be? Let me know, I'll be down there in the comments. You can continue to see what I'm watching by following me on TikTok, Twitter and Letterbox which are all linked in the description. But if you haven't already, be sure to subscribe for weekly videos covering the best and worst of movies, television and pop culture. If you subscribe during this video then welcome aboard, this is Matt Rogers and that is all.


Good afternoon and welcome to super user TV first of all Thank you to the two of you for taking the time out of your busy days to come and talk to us Would you just take a minute and tell us who you are and what you do? So my name is Tim Bell and the computer infrastructure manager at CERN the home of the Large Hadron Collider I'm Dolph Matthews. I'm a principal engineer at Rackspace and I've been working on open cycle identity For close to five years now. All right. Excellent. Thank you. So today. We're going to talk about Federation open-stack Federation specifically identity Federation So Dolph, why don't we start with you? What is Federation in general and again in particular identity Federation? So there's a lot of different kinds of Federation Resource Federation and identity Federation, but it's generally some sort of sharing of Something across clouds in our context identity. So for example One cloud can serve as your identity provider cloud and another cloud can consume the identities from that cloud without actually having to authenticate against Have it actually share authentication information. You just actually federate identities across So you have a single source of truth management is centralized And it kind of makes the whole world scale That's a that's a great technical explanation. Thank you. So Tim from the user perspective. Why is that important for you? So an organization like CERN is a worldwide collaboration There are hundreds of labs and universities that use the facilities at CERN to understand the universe and how it works So that means we've got about 11,000 users around 200 people leaving and arriving every month and Managing and tracking all of that at a central source is just not possible We can't know when someone leaves a university or when they start So we do not want them to be able to use resources outside of the period where their universities are collaborating So something like identity Federation where CERN doesn't own that identity But instead it is the institute with which the employment conditions are established is a very powerful model for us That's wonderful. So So now that Federation has been out there in the wild for some time You've just talked about one use case are there other particular use cases out there So one example of a project that we're working on at the moment indigo data cloud is an EU sponsored activity with 26 laboratories and Setting up access to CERN's facilities for testing was able to be done using the identity Federation of the cloud Had we had to do a special solution then potentially we could lose valuable time as part of that collaboration Rather than getting on solving the problems of the project So we use the open-stack identity Federation in order to establish the network of trust so What kind of what kind of challenges have you found when trying to federate across multiple open-stack clouds So there's all kinds of Maintenance challenges and operator challenges it's In my book being a developer it's still early technology we still have a lot to do in terms of easing the operator experience and Making the end user experience a lot smoother So all the way through the command line clients. We have a lot of work to do horizon we still have a lot of work to do we want to make it easier for Operators and actually end users to set up their own federations You know in horizon So here's my certificates trust my identity provider and you know, I could have some public cloud trusting my private IDP and I'm really excited about it And from our side what we find is that when we establish that into Federation it's actually only part of the problem After that you get into the questions of policy Okay, you are authenticated you are who you say you are but maybe CERN does not want to trust the Google identity as highly as for Example an authorized university Should people have to sign computing rule policies? Are they allowed to earn resources? This kind of policy question comes along along with the technical implementations for a Federation such as the CERN How did you wind up solving that? So a lot of it is a question of discussing establishing a workflow So that before people are added and given roles within the organization Then they go through an approval and a validation process along with the process under which we can go back to their Organization and say excuse me there's been a problem. Can we work out how to resolve this? And I think that's the policy side that shouldn't be ignored along with the technical implementations so Are there other particular lessons learned that other people should keep in mind when they're trying to set this up So I think the other aspect of it is a question of trying to make things so it's relatively user friendly It can be quite daunting for an average user to understand what is Federation So therefore it's important you give people things like sticky log-on screens So they don't have to go back and search through 200 organizations each time you want to log in and Finding a place that the end user experience is one that can be done without documentation has certainly been an interesting part of the activity So so what else is open-stack doing to make Cloud Federation easier? At this summit we're actually working on Shatter users kind of first and foremost Shatter users will enable us to treat federated users as if they're local and so we can manage authorization locally within the consuming cloud Just as if you were a local user stored in SQL or perhaps all that for whatever And so it's actually going to unify our Authentication authorization model across open-stack and simplify a lot of code paths that right now are very complicated So we're hoping to gain some stability out of that as well Is there anything else in the review want to add? So one of the aspects that we've really appreciated has been the open-stack combined client Which has really helped us to provide a very consistent experience for the end user and also include support for keystone v3 Which needs to be done for Federation So I think the work that's being done there on the upstream unification of those functions is really helpful because it also brings online Federation as part of that as an automatic plug-in Excellent so great keystone v3 Well, thank you both very much and I appreciate your time and we hope you enjoy the rest of the summit Thank you