It's an opportunity to train skilled workers who will be developing BC's shipbuilding industry. It's an opportunity to give thousands of British Columbians the pride of ownership when they see vessels plying the waters bearing our nation's flag. We are going to be committing $550,000 in funding to develop a training program for the marine shipbuilding sector right here, and that's going to be part of an industry-led marine training center. This funding will develop the training for new workers to upgrade programs and for those in other trades who are moving into the marine industry. This is something that everybody is going to benefit from. This is a win-win for the province as well as the shipbuilding industry. We're extremely excited about the new facility coming into fruition, and we look forward to having many future employees and many shipyard workers going through the center and then coming back into the shipyard and working on NSPS ships. On behalf of all workers in the province and in the industry, we want to thank the province for this, we want to thank the most in college, and we look forward to seeing all the young people out there. Thank you.


So PFAS is a kind of emerging chemical of concern as a group of chemicals. And so recently here at EPA at the Safer Choice Program, we took some actions with our Safer Chemical Ingredient List to move, or we call it putting a gray square on a chemical. So putting a gray square on the chemical saying we're phasing this off of the list. We've done that with PFAS chemicals and it's been good because it's in the news a lot of classic chemicals that there have been concerns with. We worked with the water-based floor finish that was thought not to work well without PFAS, but we worked with that company, that Safer Choice Partner, with reformulating that floor finish so it no longer included that chemical of concern and we're told that it works just as well, if not better than the original version.


Citizens of San Francisco with your library card, you have free access to more than one e-book reader. Today, we're pitting four of them against each other. In this e-reader rumble, each e-reader will make its case to be the one for you. Reader Maniacs, prepare yourselves. Each one of these e-platforms offers you hundreds of thousands of books. These fighters are truly heavyweight titleists. Without further delay, the San Francisco Public Library proudly brings you our e-reader, Champions of the World! Libby, Hoopla, Access 360, and Simply E! In this corner, Libby! Yo, ho, me hearties. Do you know what time it is? It's Libby time. Do you know how special I be? I'm easy to use. You can use me on your e-reader or Kindle app. I have titles in many languages. Hola, bonjour, ni hao, ahoy. And I'm family friendly. You can link multiple library cards to the same profile so you can manage all your content in one account. I have nothing to say except you're welcome. Our next contestant. For the San Francisco, welcome for the Old Time World Champion, Hoopla! It's No Holds Barg with Hoopla! What I got is yours right now. Books, music, movies, and most important, all the best comics. Yeah, sure, I got the ones about the crazy billionaire who dresses like a bat, but even better, I got the ones about the crazy therapist who knows how to use a bat. You and all your goons can check out the same item at the same time for your Legion of Doom book group. And let's face it, Puddin, I got the best name, and that's the real Hoopla. In the next corner, Access 360! San Francisco has been the scene of some of your greatest victories. What do you have to say for yourself, Access 360? Access 360, here with the goods. I'm actually as good as everyone else pretends to be. Not even the big bad wolf scares me. Listen to this, I have less weights than Libby, more options than Hoopla. Lots and lots of children's titles, including classics like me. For real, there are 21 books on Little Red Riding Hood available right now. I'm the 360 degree round the world master of no disaster. I'm packing the basket and the reading treats. This is shaping up to be quite a slobber-knocker. In our final corner, the youngest newcomer to San Francisco Public Library. Give it up for Simply E! I am Simply E, and I am the strongest in the universe! Thanks to a freak gamma ray explosion, I am channeling the power of two E-readers right here, baby! That's right, I've got all the titles from Libby, and all the titles from Access 360 coursing through my veins. So if you want the biggest selection and one app that's easy to manage, you know where to find me. But if you're looking for anger that's easy to manage, I don't do that! Eat, smash, read! Who's the champion? You decide! But readers and watchers, why limit yourselves? Use all four of these champions to find the books, audio, and comics you want. In fact, that's what I do. It's all yours, and it's all free! If you have any questions, accessing these world-class titles, contact us at We're standing by to help you in the ring!


From the SiliconANGLE Media office in Boston, Massachusetts, it's theCUBE. Now, here's your host, Stu Miniman. Hi, I'm Stu Miniman, and welcome to our Boston area studio. I'm happy to welcome back to the program a multi-time guest, Josh Rogers is the CEO of Syncsort. Josh, great to see you. Great to see you, thanks for having me. All right, so Syncsort is a company that, what I would say is you guys are deep in the data ocean. You know, data is at the center of everything. When Wikibon, we've read our predictions.  Data is at the center of it.  Help explain to us what that is and what that means to both Syncsort and your customers. Sure, yeah, so we like to talk about Syncsort as the leader in big iron to big data. And it's a positioning that we've chosen for the firm because we think it represents the value proposition that we bring to our customers, but we also think it represents a collection of use cases that are really at the top of the agenda of CIOs today. And really we talk about it in two areas. The first is a recognition that large enterprises still run mission critical workloads on systems that they've built over the last 20, 30, 40 years. Those systems leverage mainframe computing, they leverage IBMI or AS 400, and they spent trillions of dollars building those systems and they still deliver core workloads that power their businesses. So mission number one is that these firms want to make sure that they optimize those environments. They run them as efficiently as possible. They can't go down. They've got the proper security kind of protocols around them and of course that situation's always changing as workloads grow and change on these environments. So first is how do I optimize these systems that while they may be mature, they are still mission critical. The second is a recognition that most of the critical data assets for our customers are created in these systems. These are the systems that execute the transactions and as a result have core information around the results of the firm, the firm's customers, et cetera. So second value proposition is how do I maximize the value of that data that gets produced in those systems which tends to be a focus on liberating it, making a copy of it and moving it into next generation analytic systems. And then you look at the technical requirements of that, it turns out that it's hard. I'm taking data from systems that were created 50 years ago and I'm integrating it with systems that were created five years ago. And so we've got a special set of expertise and solutions that allow customers to both optimize these old systems and maximize the value of data produced in those systems. Yeah, you bring up some really good points. When I've been talking the last couple of years to people about how do I really wrap my arms around my data and we're talking about a multi-cloud world and where we have pockets of information trapped, that's a challenge. So it's not just about my data center and Amazon, it's like, oh wait, I've got all these SaaS deployments. And I think it's probably, it's a blind spot that I had had as to, sure, right, you've got companies that have, let's call them legacy systems, ones that they've got a lot of investment, but these are mission critical, these are ones that it is not easy to modernize them. But if I can get access to the data and put this into these next generation systems, it sounds like you kind of free that data and allow that to be leveraged much easier. That's right, that's right. And what we try to do is focus on what are the next generation trends in data and how are they going to intersect with these kind of, these older systems. And so that started as big data, but it includes cloud and multi-cloud. It includes real time in IoT. It includes things like blockchain. We're really scanning the horizon for what are these kind of generational shifts in terms of how am I going to leverage data and how do we get really tight on the use cases that our customers are going to need to solve to integrate those new technologies with these old investments? Yeah, Josh, I'd love to hear what you're seeing from customers. So, you know, we've talked to you at some of the big data shows. I know we spoke to you at the Splunk shows. I felt like we, as an industry, got bogged down in some of the tools for a couple of years.  And we're like, well, Hadoop will catalyze a lot of things and companies will rot a lot of things, but Hadoop itself will be a small piece of the market. And we started to see some consolidation in that market. So data and the value that I get out of the data is the important thing. So what are your customers focused on? How do they get from their, you know, traditional data warehouses to more modern? What are the challenges that they're dealing with and where are you engaging with them? Sure. So, I mean, one of the challenges that they do have is this explosion of kind of options, right? You know, am I doing things in Hadoop? What is Hadoop at this point, right? Which projects actually constitute Hadoop? So what repository am I gonna use, right? Am I gonna use Hive? Am I gonna use something? Am I gonna use some, you know, MongoDB, Elastic? You know, what's the repository I'm targeting? Generally what we see is that each of those has, and a long list of additional repositories has a role to play for the specific use case. And then how am I going to, you know, get the data there and integrate it and then get the data out and deliver insights. And that stack of technologies and tools is pretty intimidating. And so we see customers starting to color us around some market leaders in that space. The merger of Hortonworks and Cloudera, I think it was a very good thing for the industry. It just simplifies the life of the customer in terms of making decisions and confidence in that stack. It certainly simplifies our life as a partner of those firms. And I think it will help, you know, accelerate maturity in that tech stack. And so I think we're starting to see pockets of maturation, which I think will accelerate customers' investments in leveraging these next generation technologies. That then creates a big opportunity for us because now it's becoming real. Now I really have to get, on a real time basis, my data out of my mainframe or my IBMI system into these next generation repositories. And it turns out that's technically a challenge. And so what we're seeing in our business is real acceleration of our big data solutions against what I would say, you know, production targeted workloads and projects, which is great. All right, M&A, you know, always really active in this space. You know, we've done things sort for many years. So we've watched some of the changes along the way. I believe you've got some news to share regarding M&A activity, and there's also some recent stuff that happened last year. Maybe bring us up to speed. Sure, so we've made two announcements, we made an announcement in the last few weeks, and then one very recently that I'd like to share. The first is about two months ago, we struck up a development relationship with IBM around their B2B collaboration portfolio. And this product set really gives us exposure to integration styles between businesses. Historically, we've been focused on integration within a business, and so we really like the exposure to that. More importantly, it intersects with one of these next-generational data themes around blockchain. And we believe there's a huge opportunity to help be a leader in how do you take blockchain infrastructure and integrate it to these existing systems. So we're really excited to partner with IBM on that front, and IBM obviously is making huge investments there. Before we get, can you, what sync sorts play there when it comes to blockchain? We have definitely talked to IBM quite a bit about blockchain hyper ledger, everything going into there, so maybe give a little more color there. Sure, so look, we still think that production workloads on blockchain are a few years out, and we see a lot of kind of pilot activity. So I think people are still trying to understand the specific use cases that are going to deliver real value. But one thing is for certain, that as customers start to stand up production workloads on the blockchain, they're going to need to integrate what's happening in that new infrastructure with these traditional systems that are still managing the large majority of their transactions. And how do I add data to the blockchain? How do I verify data on the blockchain? How do I improve the quality of data on the blockchain? How do I pull data off of the blockchain? We think there's a really important role for us to play around understanding the specifics of those use cases, how they intersect with some of these legacy systems, and how we provide tailored solutions that are best in class. And it's one of the reasons, it's one of the primary reasons we've struck up the relationship with IBM, but also joined Hyperledger. So hopefully that gives you a little bit more context. That's great. The more recent announcement I want to make is that we've acquired a company called Evu. And Evu is a terrific leader in the machine data integration space. They've have a number of solutions that are complementary to what we've done with our IronStream product. And what we're trying to do there is support as many use cases as possible for people to maximize the value of that they can get out of machine data, particularly as it relates to older systems like Mainframe and IBMI. And what this acquisition does is it allows us to take another step forward in terms of the value proposition that we offer our customers. One specific use case where Evu has been a leader that we're very excited about is integration with ServiceNow. And you can think of ServiceNow as kind of a next generation platform that we to date have not had integration with. This acquisition gives us that integration. It also gives us a set of technology and talent that we can put towards accelerating our overall big data plans. And so we're really excited about having the Evu team join the SyncSort family and what we can deliver for customers. Yeah, great, absolutely. Companies like ServiceNow and Workday, huge amounts of data there, are seeing a lot of it. Dave Vellante's been at the ServiceNow Knowledge Show with theCUBE for a number of years. Really interesting. It seems like this acquisition ties well in with, I believe it was Vision that a year ago. Well, so it ties in mostly with our IronStream product. Now Vision contributed to the IronStream product in that that gave us the expertise to deliver integration for IBMI log data into next generation analytic platforms like Splunk and Elastic. So we had built a product that was focused on delivering mainframe data in real-time to those platforms. Vision gave us both real-time capability and a huge franchise in the IBMI space. Evu builds on that and gives us additional capability in terms of delivering data to new repositories like ServiceNow. Great, maybe step back for a second. Give us kind of some of the speeds and feeds of SyncSort itself. Moment of the company, you've been CEO for a while now. Tell us how we're doing. Yeah, we're doing well. We're having a record year. It's important to actually recognize that in September we celebrated our 50th anniversary. So I think we're a bit unusual in terms of our heritage. Having said that, we've never driven more innovation than we have over the last 12 months. We have tripled the size of the business over the last three years since I've been CEO. We've quadrupled the employee base and we will continue to see, I think, rapid growth given the opportunity we set and we see in this big iron to big data space. Yeah, Josh, you talk about that. You know, when I look at, okay, a 50-year-old company, we talked about data quite a bit differently 50 years ago. What is the digital transformation today? What does that mean for Syncsort? What does that mean for your customers? Help put us in context. Yeah, I mean, it kind of goes back to this original positioning, which is, you know, the largest banks in the world, the largest telecommunications vendors in the world, healthcare, government, you pick the industry. They built a set of systems that they still run today over the last four or five decades. Those systems tend to produce, you know, the most important data of that enterprise. It's not the only data you want to analyze, but it tends to be that reference data that makes everything else, allows you to make sense of everything else. And as you think about how am I going to analyze that data, how am I going to maximize the value of that data, there is a need to integrate the data and move it off of those platforms and into these next generation platforms. And if you look at the way an ESAM file was designed for computing requirements in 1970, it turns out it's really different than the way that you would design a file type, you know, JSON or a file for Impala. And so kind of knitting that together takes a lot of deep expertise on both sets of equation and we uniquely are have that expertise and are solving that. And what we've seen is as new technologies continue to come to market, which we refer to as the next wave, that our enterprise customer base of 7,000 customers needs a partner that can say, how do I take advantage of that new technology trend? In the context of the past 30, 40, 50 years of investment I've made in mission critical systems and how do I support the key integration use cases? And that's what we've determined where we can make a difference in the market is focusing on what are those use cases and how do we deliver different solutions to solve them that help both our customers and these partners. Yeah, absolutely. It's always great to talk about some of the new stuff but you need to meet the customers where they are, get to that data where it is and help move it forward. All right, Josh, I want to give you the final words, kind of broadly open, big challenges, opportunities. What's exciting you as you look forward kind of the next six months? Yeah, so we'll continue to make investments in cloud, in data governance, in supporting real-time data streaming and insecurity, those are the areas that will be focused on driving innovation and delivering additional capability to our customers. Some of that will come through taking technologies like EVU or like the B2B products and enhancing them for specific use cases where they intersect those themes. It will also be additional investments from an acquisition perspective in those domains and you can count on things where to continue to expand the value proposition that it is delivering to its customers, both through new technology introductions but also through additional integration with these next generation platforms. So we're really excited, I mean, we believe our strategy is working, it's led to record results in our 50th year and we think we've got many years to run with this strategy. Josh Rogers, CEO of SyncSort, congratulations on the progress, new acquisition, deeper partnership with IBM and look forward to tracking the updates. Thanks so much, appreciate the opportunity. All right, and thank you as always for joining us, Stu Miniman. Thanks for watching theCUBE.


And I have a great pleasure to introduce Matt, who will be speaking about news valence Yeah, I guess that's it. Take it away. Cool. Right. Let me just set my timer going There we go, right cool news valence an underview so What valence now so basically like? It's talks kind of a lot about the idea of of surveillance But also kind of more about how you can do it how you can do it back So there's a concept called surveillance So both words are from French sir is above Sue is from below and it's the idea of of Basically surveying as a participant. So like say if you're wearing like a body cam or something like that You could be said to be like surveilling news valence because new his French for we it sounds like news and also, you know, like jokes aren't funny if you have to explain them So moving on related to that. Who's this clown? So I'm Matt aka Grimwear I I've worked in like sort of systems and infrastructure for about eight years and And this year started working in infrastructure security. So I'm quite interested in data security and privacy Other than that, like I'm absolutely not qualified to be telling people About media and news and things like that. So absolutely take all of this with a pinch of salt I'm also a consumer professional and wasting my own time So if I only live to serve as an example to others about how not to do it, that's fine, too So this talk Basically, it's it's kind of about like sort of aggregating news. It's about like being able to analyze news and just sort of It's a kind of a personal struggle to stay well informed So to start off with them I'm just gonna talk about like what was some of my influences in in actually kind of taking this on because I think it sort of Gives some good context as to what exactly I was trying to achieve So one of my one of the one of the big influences for this is Hunter S. Thompson and this is partly because Well, I mean, I'll start with quote here He said I don't get any satisfaction out of the old traditional journalists view. I just covered the story I just gave a balanced view Objective journalism is one of the main reasons American politics has been allowed to be so corrupt for so long You can't be objective about Nixon And I think we can probably think of other American presidents that you can't be objective about But basically it was this idea that The way that he the way that he reports stories or reported stories He he was fundamentally involved in it There was a lot of his opinion it was very much on his sleeve there was also a Questionable amount of actual fact in it But the interesting thing about this is that so he wrote a book called fear and loathing on the campaign trail 72 It was about the McGovern campaign and the Campaign strategist for the campaign on the back of the book There's a quote from him and it says it was the most accurate and least factual account of that campaign And I really like this idea that it's kind of it's kind of talking about narrative there You know, it's not so much about the individual points that happen as much as the the The overall flavor of it and I also really like the idea of of knowing of a of a journalist or a reporter That you kind of come to know them through their work So you can sort of assess, you know, do I believe this bit? Do I believe that bit? So moving on and another influence here was spider Jerusalem So this is from the comic Trans Metropolitan. He's heavily based on Hunter S. Thompson But basically with more of a conscience and One of the things in this comic is that it's a very very small part of it but there's references to to basically a news feed called the hole and it's run by two people and One of the characters says to another It's it's like news but with all the bias boiled out And I thought about this for a while and I was thinking like hey, that's really cool And then I thought about it a bit more and I was like Two people editing all the news and they actually managed to remove bias like that seems really really nice in a sense And also, I think it removes a lot of information because Quite quite a while ago now. This is BBC news article Why Russians watch TV news they don't trust and I was just blown away that the journalist Was so surprised that people would watch a news source that they don't necessarily believe The point being that there's a lot that can be inferred when somebody lies to you Like lies show intent if even news if a news outlet goes around just reporting actual facts You can't infer intent from that, but if somebody is in the news one week But suddenly we've stopped talking about them the next you can infer from that that somebody wants you to not be looking in that direction And I was thinking about like, you know, how do you how do you aggregate this sort of information? and and this idea again of surveillance, you know So the NSA had had the program prison and one of one of the parts of that was the tool x-key school and This is kind of like that that whole idea of well, you know Why do I want to have a view of the world? Well? I think it's because I want to be able to see, you know, what that intent is like who's doing what and It's that idea of kind of surveying Surveiling back An x-key score is basically like heuristic scoring of people under surveillance based on criteria And I was thinking hey, well that would be really cool to do something similar with with news and do like Natural language processing and sentiment analysis of the different news outlets and actually gather some statistics, you know Have alerting on particular kinds of on particular kinds of stories And it turns out that that's really hard So my initial attempts really sucked to be honest because I was trying to Attack this problem with like, you know I'm gonna just scrape or scrape all of these sites and then and then you know sort of kind of process them and And it was just really difficult But that got me into thinking about why is it so difficult and and I think that that's It's a really big part of this. So just looking at what news even is and Caviar here Free press is good I'm criticising but but you know, it's the best system. We've got at the moment But basically news what what is news? So it's some events that purportedly happened that someone has decided you should know about And and that's pretty much as far as it goes because I mean the premises obviously to keep people informed Why why do people need to be informed? Well, it's an important function of democracy if you're gonna vote for a representative You need to have some understanding of the policies and everything or you know You can just vote for the worst person in the world as tends to happen most But it can't be done by a government in in a real democracy because ultimately if they're shaping your view of the world That's gonna turn into a terrible feedback loop So it has to be done for profit effectively, it's left to the private sector Which doesn't necessarily? lend itself to To necessarily having the right motives and the right incentives And it leads to a lot of people like like butternut Hitler here saying fake news a lot I'm really really pleased actually that the screen was on that side. It was a bit of a gamble 5050 Yeah, so basically fake this whole idea of fake news This is a really interesting one because you know, there's real fake news, which is like, you know saying that Democrats are running a paedophile ring out of pizza Pizza rears in DC, which is just totally false Then there's kind of real fake news which is largely like selective truth with heavy bias Non-sequitur interpretation and this stuff's really really difficult to nail down And then you know fake fake news, which is basically things that you don't like other people saying And we run into real problems here of interpretation, especially with different news outlets having different financial backing different financial motivations But one of the things to take away from this is all of it is data You know, you can you can use all of that to interpret sort of some I some idea of motive But there's also a lot to fall afoul of here in terms of the way that we share news the way we communicate and we talk about it You know, how can you not be part of propagating the wrong stuff? So one of the lessons I learned in all of this is that if you don't care enough to do your research You don't care basically if you want to share an opinion on the internet Make sure that you actually know you know the subject you know your sources because ultimately the internet doesn't need more Informed opinions and if you can't be bothered to look around you probably just don't care that much So one of the ways one of the ways that I try and be well informed is you know I've got particular people who who I follow and the grucks one of them. He's he's really excellent He does a lot of stuff on operational security And this is me tweeting about Malware tech when he got indicted by the FBI in the US And I was just saying you know rather than spreading my hot takes I'm gonna wait for the gruck to say something so that I can parrot his opinion as my own and he replied to me I'm waiting for Oren Kerr to do his post Oren Kerr being a law professor So it's this this whole idea. This is another thing. I learned you know to be considered well-informed Stand on the shoulders of giants like having that set of sources for the things that you're interested in is really really great But then again selecting your sources is hard because actually human beings are really really terrible at perceiving things as they are so There's like, you know, like absolute objectivity and rationality are absolutely lies From the point of view that like we're more likely to believe things that confirm our own beliefs Confirm our own tribalism and our identity Or are just convenient and we're also extremely resistant to cognitive load You know so like we like tweets because they're pithy and they sound true And you don't want to dig into it because you don't really care that much But you like to take on those those really quick easy ideas like why aren't there any jobs must be immigrants You know or it could be the government's not working hard to create jobs, you know You know if something becomes nuanced we we automatically our minds just kind of slip off of it We don't want to deal with it But there's something that makes this so so much worse and it's social media The idea is pretty rife that engaging with an online platform in order to to change the world is a thing I don't know if anybody remembers Coney 2012 as the counterpoint to that But basically don't argue with people on the internet and don't share news on the internet It's it's not actually really very helpful. It doesn't convince people. So like the whole Cambridge Analytica thing They converted a lot of people who already believed in things that you know, Donald Trump was saying or already Believed things that leavey you were saying they just managed to convert them into voters They didn't change anybody's mind All this does by engaging with these platforms is generate advertising revenue and Advertising is a really fundamental piece of this whole puzzle, especially as to why it's so difficult to aggregate news so like Advertising is basically the trade of attention and trading attention as if it's currency so The the old school way of justifying it has always been you know Introducing products to people who may want them and that's that's fine That's absolutely fine, but a lot of the time it's more about generating desire for products and people who are trying to give their attention to something else especially if you look at like content industries like and It's especially legacy media.  Oh, that's where the advert breaks used to be so all of this content is created to get you to watch the advertisements and this this gets even more interesting in in the future Because you can prove to some degree that a particular individual has looked at an ad or clicked on an ad on the internet And it can be done without user content You know tracking people around the internet and it's mostly offloaded onto ad delivery Networks so using like off-domain content and scripts and building usage pants to sell on And you can start to see why this is all about driving up engagement and the problem with With just you know doing these things to drive up engagement is it's not about keeping people informed anymore It's literally about making sure that people stay on your website So that's kind of the background as to as to why it was a difficult problem to start off with And you can see it's all pretty pretty loaded and pretty difficult to solve So in terms of like taking back control I Basically, I've got a few mantras that I that I used in in sort of all of my approaches So I'm just gonna just gonna list them off before I do a few demos Basically, like the first one is nobody's gonna call the internet police I'm not advocating anybody do anything illegal just kind of annoying for ad networks Additionally, you might have to live with Google captures for a while if you do some of this wrong Secondly You you're good at producing metadata people are very good at producing metadata. So never do it for free I mean, it's effectively got an equivalent cash value, right people buy this stuff people sell this stuff So when you give data to someone you you should make sure that you're actually getting something worthwhile in return and Failing that mantra three is Admiral piss This is from a friend of mine who also coined the term butternut healer And it's basically the idea that Somebody said to her well, what about when somebody already has your data?  And my friend said just add more piss, you know, just obfuscate. I'll show you what I mean Demo time right I'm gonna have to try and do this And did so this so this particular demo is about People kept sending me links to the times.co.uk and I kept getting very annoyed that They had a data payroll. I'm probably gonna need both hands for this bit so you can see William Martinez has decided to sign up for the times.co.uk and It's just about to click get access and I'm not doing this So you can see this is this is failed because it's like users picked an invalid email address That's because I don't want the network to start getting captured But I was previously using this before they had any Validation there like every time that somebody sent me a times.co.uk link I would literally just run this script and it would load up a fresh incognito browser And just sign up as someone totally fake This is the kind of the idea of the the Admiral piss philosophy is basically if somebody wants to put up a data paywall Give them data, you know data is not information. Just give them data Doesn't have to be real Where have I gone? So one of the things you can learn from this and one of the things I learned from this is It might be your website when it's in my browser. It's my code So the way that I went about like doing that particular thing Was so so effectively, you know all of these websites they want to keep you engaged so they've got lots of This gift gets me every time Yeah, you know that they want to keep you engaged So they They want to make it pretty and the way you make a website pretty is you apply cascading style sheets And it's done using the document object model Now part of the thing about this is that it means that everything on the website is effectively tagged with what it is And in order to be able to you know, keep good Development velocity and everything like that you try not to change that structure too much If it's not consistent is held for developers and this is an advantage for us because we want to aggregate news We don't care if it's pretty or not. So effectively it means that we can find that Content, right? So, let's see I can follow this link here Seeing the wrong time Over here, all right, cool. Okay, so What we've got here is just like a BBC thing. It wants me to agree to Cookies and I don't want to I don't want to look at that either So we can just whoop Delete that I used to do this with ad block pop-ups, but they don't tend to do them anymore You just like delete the overlay and then add on scroll stuff and then you can just read it anyway so What we want really we want that to go away as well It's we want to be able to just pick out the actual news here. So what we can do is actually select Where is it? Where is it? Where is it? Story body? Here we go So this is actually the section of the the section of the website We're interested and you can see it just highlights the whole thing that main header image all of the text So what we can do is actually take this Yep And copy that over no not our one this one And we can go So we can actually just fetch fetch that website from the command line, right? And then what we can do is we can do stuff like in fact, you know what we can do is we can cheat and use our command history So what I'm doing here is Just telling it to select out the bits of the document object model We're inside story body and what we can do is go even further and just say I just want everything in the paragraph tags and everything that's text inside of that And what we've got is just the article now So that's that's pretty cool. That's that's something we can do to to help in just getting our news out of our news websites So yeah, one of the things I learned in all of doing this is that terms of service hinge on you're being able to retract service The first thing that anybody will serve you is the actual content They'll let the ads load later. So you can use that to your advantage and actually just only request the main part of the content So it means that when people say like, oh, you have to agree to this you have to agree. Well, I've already got the text. So Don't really care So we can get the the actual news out of the website, but how do we get a feed of it? So there's a thing called RSS and also atom. That's the RSS schema right there. You can see that there's like a Channel described and then multiple items within that channel. So they can be like links news feeds So it's easy to generate and atom is more different from that. It's kind of the same sort of thing So basically what does this look like? No Sorry can't type when people are watching there's quite a lot of people watching Okay, so this is this is my news feed reader is why use and I'm like, okay Well, we've got this feed of news. Well, what's this guy talking about? We don't have any news at all. This is actually all just Links and truncated content because people want you to go to their websites. So it's pretty useless Pretty useless So most people just provide click-throughs so that they can get ad metrics to get you into their click-hole and also like a lot of A lot of there's a lot of misuse of the schema for RSS as well. So when I ended up having to write my own RSS library It was largely I didn't actually look at the RFC at all because I was like, well, sure there's an RFC But doesn't mean that the people producing RSS feeds have ever actually read it So I was just going on the basis of the actual data I had But hey, you know now we've got a bunch of stuff that we can actually add together So we can get a feed of articles. We can extract the article body from a given web page and for an added bonus We can dump all back into the RSS format And use the same reader So that's what I did. I made better feed and it's written in closure. I'm very sorry. I'm not that sorry So demo again This is really actually begging for trouble. It's quite right Window which one which one which one? Not that one Not that one That one. Oh, no, that didn't work Yes, this is it. Okay. So, I mean, I'm really sorry This is actually the interface for it at the moment just emacs because I'm awful But if effectively like what I've got here is you can see on the left hand side There's a list of feeds and then I just will Run it and it'll run in the background and basically spit out all of those those feeds So go through each feed take the article content spit it back into the feed and then dump it out on disk So what this actually looks like in practice? is Nope, no, no, that's not good So we've got exactly the same feeds as before and that hasn't loaded properly two seconds Sorry, this is very shonky Okay, that's all one hasn't loaded never mind So it's the same feed as before but actually we've got all of the article content in there And this this particular feed is actually a list of different websites So I've got a whole huge list of different CSS selectors for that So, yeah, like what does it do so it's got Sorry slide management So it's got a few different features is per domain selectors. So if you know you visit bbc.co.uk or whatever You know, you can say for BBC you pick out this bit You can configure domains that will do redirects. So like aggregate news feeds that will just redirect to a different site Configurable user agent. It's pretty much the only thing you really have to lie about is like, yeah I'm actually a Chrome browser. Don't block me And you can also use Chrome in headless mode for sites that have JavaScript DOM manipulation Which is really funny when you accidentally leave it going in the background and your laptop barks at you because of autoplay videos So batteries aren't included on this because if I were to distribute The CSS selectors people would probably get a little bit salty about it So, you know, I shouldn't be showing like all of this sort of stuff on on line But yeah, what this doesn't address though is the Is this whole idea of being able to look at pans and I'm not very far in it yet But I have made some progress. So I've got this thing Fedex Which would take any RSS feed and dump it into elastic search Which then means that we can search Search through the news articles that we've already looked through and I can run it on my reconstituted feeds as well and It can additionally spit out more RSS feeds. So you can actually have a standing search for something Right. Yeah, there's absolutely a non negligible chance. This one will fail make What was it? search Womp Okay Reload those so you can see I've got search results here for Apple This is just all news that I've been reading and that I've indexed so it can now search for anything that's got Apple in it We can also search for EMF and there was a hackster IO post about it about the badge. It's pretty awesome So, yeah, that's that's pretty much how that works And I would love to do loads more with that So like I'd like to start doing some like sentiment analysis to be able to score different news sources on like, you know This news source speaks negatively about Immigrants 90% more than all the other ones that sort of thing So statistics per domain like maybe some like natural language processing so that you can instead of just doing a text-based search You can build a narrative Throughout of what has this person been doing what is this organization been doing? Also better relevant scoring because I mean like it's just a basic text search at the moment And an actual actually usable interface because not everybody wants to plumb about in emacs and closure Yeah, I want to leave you with like the final lesson That I learned is basically if you don't control your information diet someone else will and the content industries are actually pretty insidious about this So it's just one of those things to take in mind like if if it's not really really important And you're not gonna do your research like Don't just take it at face value, you know, treat it with some skepticism and control what you Control what you let into your brain the same way you control what you let into your body Thanks for watching


Hello everybody. My name is Sebastien Tesser. I'm a product marketing at ST and we are here at CES 2020 and it is my pleasure to introduce you to our driving monitoring system demonstration based on our imaging sensor, global shutter sensor, VG5661 and VG5761. So what it looks like is that you have here a camera which is made of our sensor and two innovative illumination parts which are based on vexels, a software from our partner Smart Eye and the display of this system. And what is a driver monitoring system? Well, it's made in order to detect for example a micro sleep to make the road safer. Everybody I guess experienced sometime in his life where it was he difficult to pay attention to the road based on the huge fatigue. This system helps you to detect this micro sleep. How it does is that you can see that on the screen you have two bars a side of each eye which indicates how open are my eyelids. So you can see that if I close one eye the bar on the right is getting empty. Whereas if I open it, it's go back up. And then if I close my eyes you can see some detection signals that detect micro sleep. This is one use case for examples. Another use case is that it's being said that I mean federal agencies in the US are saying that more than 3,000 people are losing their lives because of distraction while driving. And this system can help you make the road safer in that aspect also. Because you can see that on the screen the gaze detection is being displayed with the vector coming out of the eye. And this system is able to detect where my gaze is looking at in its full dimension. And this helps to make sure that the driver is looking at the road in a constant manner. And the third one is that when it comes to autonomous driving it's important for the car to know that the driver is paying attention to the road in case it needs to give the control back to the driver. So that's the driver monitoring system demonstration. I would like to finish by displaying what do we do more than for the market. The first part is that we have a special feature on our sensor that subtract the background image. We are using near-infrared illumination, but the sun has some contribution in the near-infrared region. And thanks to our unique technology we are able to subtract these contributions to the image in a very precise manner, making the algorithm easier to compute all these gaze direction calculation and eyelid opening. Another key advantage of our solution is that it has the highest special resolution of the market. Meaning that the gaze direction is the highest accurate on the market, making sure that not only we are able to to say where we are looking at on the road, but if we are looking at in the central mirror we are able to say in which part of the central mirror the driver is looking at. And this is a unique feature of ST technology. So if you want to know more about our product, feel free to contact your local sales or to go to visit ST.com to get more information. Thank you very much.


I did have a little bit of ICU experience, but my ICU experience in Washington was Limited and also I was in such a small hospital that if anyone was truly sick. They usually got transferred out in The hospital that I am at now. This is like where the sick people come Rarely do they transfer someone out unless it's for something really specialized people get transferred to this ICU because they're sick and so that was So the acuity of the patients I was taking care of yesterday was unlike Anything I have ever taken care of before in nursing and so it was very overwhelming and kind of stressful To see that in like a couple of weeks. These are the types of patients that I'm going to be responsible for I think one of the most difficult slash frustrating things about my shift yesterday was Learning that new charting system. I already had a full course on it Like it was like a seven-hour class on the charting system But when you have to do it real time and especially on sick patients where and you're like, I don't want to miss anything You know, I know I'm not charting certain things because I don't know where to find them I don't know where to find the lab guys. I don't want to find the physician's Documentations so it was just like, you know, just learning that initial Charting system is always a really stressful frustrating thing It like just takes so much time and when you're already, you know, so You know stretched so thin with you know patient care Then it can be stressful with like, okay Well, am I gonna get out if you're on time? Am I gonna make sure I had everything charted and I know that's like with any new job when you start the charting system It's like it's just if you've already learned one charting system. It's really hard to Hard to start in a charting system So besides that that, you know, that's just like with any job So I had a really great preceptor. I'm gonna be with her. I think Until I'm off being precepted. She was awesome. Her and I got along well. It's always really hard I think I said this in my first day of work as like a new grad nurse video, which I'll link below My first day with my preceptor at my last job was kind of stressful When you're trying to figure out, you know, so what's kind of my role, you know, I know I am Learning and everything but I still want to try and be primary nurse But when you're both trying to, you know, make sure everything gets done and learn the flow of things and it can kind of be You know stressful at first days like figuring out kind of what your role is and obviously what when you're getting precepted Eventually your role is to be to do everything but that first day obviously you don't You know, you can't do everything because you don't know where everything is you don't know, you know, how things work around there and So that yeah that you know, we had a little bit of that, you know, just trying to figure out, you know Who's who's charting? What did you chart this? Did you know did this get done? Do they know and that's just, you know, like with any precepting and if you hear the dog, sorry, they are He's got her by the collar They I just woke up they just woke up and so they're playing until I go take them out anyways, so I think One of the hardest parts of my shift yesterday and I can't really talk too much about it, but I think Last night I was kind of feeling down. I was like, I'm just gonna go to bed. I'm gonna wake up I'm gonna feel better. I'm gonna have kind of had that relaxed, you know Good night's rest and wake up and feel like, okay, you know, I got this But I honestly I don't feel like that today Like I honestly I still feel kind of down and like not frustrated necessarily with myself, but just like Honestly doubting but all this use that word doubting myself and this is like the first time in my nursing career I have ever felt like Can I even do this like can I even do this job? Am I even smart enough quick enough? Have you know good critical thinking skills and like this is the first time in my job I've ever felt like this, you know, there's been shifts where I felt down and everything and you know but so what happened yesterday basically we had a really Sticky situation that turned into an emergent situation and It was a sticky situation because you know things it just Weren't handled not necessarily by myself and my nurse but by other people the way that they probably should have and You know, I'm not sure. I'm not sure how the family is feeling, but it could be a potentially, you know legal situation and You know, I'll just leave it at that without giving any other information out But like that's really stressful as a nurse Especially your first shift where you don't know the charting system to be like, okay I need to make sure I chart everything on my end to make sure that things look good on my end That I did and you know all of that to make sure that you know if this ever proceeded to a higher level that it was But I'm not gonna get in trouble basically and so that's stressful. Now. It's like I'm I'm trying not to go home and be like Well, you know, is there something I could have done, you know Could I have recognized this sooner? Could I have done this sooner? Could I have talked to this person sooner? You know, we always can do that and I feel like hey, don't bark I feel like with any situation like any code any emergent situation Like you always have those thoughts and it's really like just a hard thing to process especially like when you go home It's your first day. There's already so many overwhelming factors so that was probably the biggest thing that really is Is bothering me at this point and you know last night I said I'm just gonna go home fall asleep Not think about it wake up and be better and I'm honestly not better And luckily I have two more days off to process it and I know I know this is like normal I know that there's gonna be shifts where I just go home and feel defeated So it's like I can tell myself all those things but like really to feel them and experience them it's really you know, it's different and This is like I said like the first time in my nursing career where I have felt, you know Really like am I even cut out to be this type of nurse? But I know like I know I'm a good nurse. I know I'm smart I know I'm a quick learner and I told my preceptor. I Said I was like wow this is like this is really stressful And she was like I had a girl that I precepted, you know weeks ago who told me after her first shift I don't think I can come back like I don't think I'm cut out for this job and She's like just come back the second day. It's gonna be better and she came back the second day and it was better So I'll have to make a video after my second day Actually, I have shifts Monday and Tuesday back-to-back, so I'll probably make a video on Wednesday updating you guys on how it's going But I'm hoping it gets better. I know it's gonna get better. I know it's just so hard like You don't know your first day The hospital is so so big that I couldn't even find my way back to the parking lot after my shift last night And part of that is when I got to my shift yesterday. I was rushing in I wasn't paying attention to like which turns I was making But I like couldn't find my way to the parking lot last night And I was just like I'm never gonna find my way to the parking lot after my shifts Anyways, I was just kind of you know defeated and down but The only way to go is up after this and it's gonna get better and I wanted to share with you guys my like raw feelings and emotions and You know how I'm truly feeling right now because you know I make a lot of positive motivating videos that you know nursing so great and it's wonderful and It is it really is wonderful But like there are times where you do feel like this where you don't feel Like you did a good enough job where you could have done something where you're concerned about something else And it's really you know, it's really difficult, but it's a it's just like it's a factor into like what we sign up When we do nursing we're gonna see things that are terrible. We're gonna do things that you know no person should have to do and just you know really It's a hard thing. So anyways, I'm gonna end the video there if you guys have any other questions or comments Leave it in the comments below. Thank you for watching. I'll definitely keep you guys updated as things progress how I'm feeling Don't worry. I'm not suicidal. I feel like I'm depressed a little bit today But I know it's just because of everything that went on, you know, not really depressed But anyways, thank you guys for watching give this video a thumbs up and subscribe to my channel and I'll see you guys next time Bye


With reference to the trends and issues in early childhood education, we are discussing the moral stages of our child. So at stage 1, there is physical survival, selfishness and obedience. So we will see that in early age physical survival is the most important phenomena in our child. People at this stage mostly emphasis entirely on their physical survival and safety needs. As I was saying, when a child is very young, first of all, he needs his survival. He thinks that he has to save his life, he has to save himself, and now he doesn't care about others. He doesn't know how to sacrifice, or how to help others when they are in trouble. He doesn't know all these things.  So they tend to place more emphasis on materialistic and lower needs rather than spiritual or higher needs. Now see, two children fight on a toy. Everyone wants that toy. So they don't think that giving it to someone else can make them happy, and that happiness can make them happy, or make them benefit. Now they think that this toy is for me, I should get it. They are quite materialistic. Now they don't know any spiritual or any other thought that will benefit them. So the things they see in them, they choose for themselves. They struggle for food, water, sexual satisfaction, etc. So the children who are not at the limit of their morals, who are too young, for them, their basic needs like food, drink, sleep, or any other need, they are more important to them. For them, there is some kind of spiritual or moral aspect, which they will come to know later. The first thing is that such small children who are less than three years old, or around three years old, they are selfish. We call them egocentric. Now they don't see anything other than themselves. You see, in every matter they are surprised to see how people can think differently from them. If I go to a shop, the toy that I see is mine, when I pick it up, people ask me why I don't like it, whereas all these things are mine. Similarly, on every food, on every good thing that they like, they don't like to hear any other opinion on it. So in this stage, people seek personal play, fun, happiness, and comfort very often at the expense of others. They will beat others, beat them, push them, and take the toy. Because at that time, they are more important to them, than to any other person, or their happiness, or their comfort. The second thing is that here, the standard of morals is obedience. That means, he knows that my parents, or my teacher, or whatever is bigger than me, a sibling, or a brother, are more powerful than me. And that I have to listen to him. So people at this stage obey blindly. What the authority commands in order to avoid physical punishment? What the elders say, they have to do it. Because they have to be punished. They know that if they do this, they can slap me. Or if they scold me, they won't do it. That means, their only good thing is to obey the elders. And they don't believe that they are elders. This is a moral thing to obey the elders. Because they believe that they feel that they can harm them, or that they can harm them, or that they can harm them with a reward, if they don't believe in what they say. So here, there is a little child growing up, in 3 to 5 years, unilateral respect for parents. So it is that he comes to his parent's house, with the most love and care. Even there, that child is 5 years old, sorry, he is 5 months old. So if your parents, your mother, or your father, harm them, they will be very surprised to see you. Why is he touching this? This figure is very important to me. So as the child grows up, 1.5 to 2 years, he starts speaking.  If someone else says that he is my mother, he can't give ownership like this. Because he knows that my benefit, if he is my caregiver, my mother, or my father, then he cannot sacrifice in any way for others. Then, immanent justice. Immanent justice is that when you create such a justice, when you start it, instead of looking at something else, you look at whether you will be in trouble or not. And thinking that if you do this, everything will be fine. I should not create such a situation that is difficult for me. So whatever things are looking good to others, according to the norm, you like them. So the children try to follow those who like others. And they try to avoid those who don't like others.


You're not welcome here, Selsword. Leave! That's enough! Today, Miss Theos, go away! This is your last warning. Walk away from here, now! This is your last warning!