So, good morning everybody and we're Whitehawk. We are an independent open data consulting team. There was discussion earlier about the rapid catch up of cities around the world and countries around the world in open data and our team is off next week to Tanzania to work with the World Bank on a one year project to turn the entire Tanzanian government onto open data. So there is a lot of easy gains in open data that have already been made in the UK and it now gets incrementally harder and exponentially harder the further we go down this route now. It's very easy at a national level to catch up. It's really easy for a national government to say we own these datasets, they're in head office and we can easily publish. As soon as you now need to distribute that out to the cities and you need to go local, it gets really, really hard because there are multiple different competing interests, there are multiple reasons that data are collected and there are multiple different incompatible datasets. So we're looking at a question of why cities collect data, try to remove this mouse. This is a corner in my city of Oxford, which is an empty shop and often we're trying to solve questions like joblessness, homelessness, traffic problems, Bristol's doing energy use as a major focal area. This particular empty shop has been empty a very long time. About six years ago, this entire site was redeveloped and a new grocery store was put in there, one of the big chains. The end corner point is still empty. It has been continuously empty for 10 years in Oxford, in the centre of Oxford. But if we look at how open data are being used, we can see that it has been well integrated into commercial offerings already. Can you find me somewhere to live? Well, that's great because we can go and use projects and products like Zoopla or RightMove and they have well integrated open data into it. Housing prices, we can have a look and see exactly everything we want to. This is Sunderland, which is an area we're looking to work in. And I can find out all sorts of information. This is one dataset we're looking at. Price is coming out of the national statistics. One dataset, I can get historical values. I can see comparative, I can see price trends, I can see all sorts of stuff there. It's fantastic. I'm a residential person looking for a new home. Even better, because of the census information that's been released, I can find out what my neighbours are going to be like. Do they read the same papers at me? Because obviously if they don't, then there'd be nothing to talk about. And this has been fantastic for residents. It hasn't necessarily helped you if you've been in business. Because if I want to find somewhere to invest, that isn't the stock exchange. That is that empty shop that I showed you, then the data are thin on the ground because that sort of data is owned by the local authority. It's owned by the city. And yet as been mentioned earlier, that the city is reluctant to release or doesn't know how, or doesn't have the capacity, or doesn't have the experience of doing so. And that, because of that, as Rick mentioned earlier, I will choose the easiest place for me to invest, which is London. That's why business comes here first. Because it is the easiest place to go, because it is the minimum risk. And if I look, Zoopla has a new API that allows you to have a look at commercial space that's available. We're told that 10 to 20% of shops are empty. And that that number gets really, really bad the further north you go in the UK. If so much space is empty, where is it? It isn't listed. And we've gotten to a point now where it becomes a bit like unemployment. When unemployment becomes completely difficult to resolve, then people drop out of becoming work seekers. And so it looks like unemployment is dropping, but in reality, there is structural unemployment, people that have just given up. And so we also have a situation with landlords who have given up. Empty places that remain empty permanently because no one knows what to do with them. Now I'm not saying this is the only problem that cities want to deal with when it comes to smart cities and open data, but attracting investment is part of that. You want to attract those high-tech jobs? Where are they going to eat? Who's going to cut their hair? Who's going to do their accounts? Where's they going to come from? And if those things are not there, why would you move to that town? So we as Whitehawk have been looking to build a new model around the idea that jobs don't exist in a vacuum. And that big business is no longer create them. If we look at how information is being used by large organisations like Tesco's and your Starbucks, it's to concentrate their markets. It's to close down shops, to refocus their investment on critical spaces because their margins are ever thinner and their fragility in rapidly changing markets means that they need to reduce, which is why a lot of shops become suddenly open and they're very large and they're the wrong use case. But those companies are spending three billion pounds a year on business intelligence, which is a huge amount of money. That's traditional business intelligence. It means they assemble information. How do they know how many shops are empty? They send real people out there to go and count and photograph.  There's not always sensors that look at pedestrians. They physically have people go there and sample. That data gets drawn back in. It produces a report. The research is sold. And because it is licensed, there isn't necessarily a way that small businesses can afford it because a report can cost you 20,000 pounds, which may be as much as your first year's rental. And you're not necessarily going to have access to it and neither is the local council because of these license restrictions. Even if you buy the report, you can't share it. So we've developed a product called Smart Streets, which is the idea of taking metadata and applying it to every single commercial space within an urban centre. And to take multiple data series, be they household income, local expenditure, we need retail rates, we need occupancy levels that comes from rates data because local authorities know who's in and who's not. And we bring that together to expose that for business investors. People who want to start a small coffee shop and are not willing to spend, you know, 200,000 pounds on research looking for shops all across the UK in a major strategy. And this is something where local authorities can use the investment they're putting into Smart Streets to create a meaningful product, can leverage their data to bring business and expose opportunities in their own cities. And this also permits a city to get ahead of the curve. You know, that question of, cool, you want to start a business, right? Here are 15 government departments you need to go and talk to. You need to get a permit for food, you need to get a permit for waste management, you need to get signage permits. These are all the things you're going to have to do and you need to talk to. The city knows. And if you're looking at software that gives you an idea of what the business make-up should be in a similar way that a shopping centre is managed, then you can get ahead of that curve and you can start saying, right, we know that these things are going to be needed. Let's accelerate the process for investors so it reduces their investment in time and energy. Because the types of businesses you're attracting are small.  You're going to bring rates into your city if you follow those businesses. You're going to create 50, 60 jobs. But consequently, you're going to make your city more livable. And these are the sorts of, you know, mock-ups of what that software looks like. The idea behind this is that you need to solve real problems. It needs to be tangible. A lot of cities are contemplating the idea of smart cities, of what we measure, of all the infinite number of things we can put sensors on. We can measure traffic. We can measure air quality. We can measure electricity consumption. What's the thing that is going to make a meaningful difference to a city and to the people who live there? So that brings us to us. Please do come and see us during the break. And we look forward to speaking to you further about this.


Well, away from the aid, the candidate of the all-progressive grand alliance for November's governorship election in a number of states, is surprised his name was excluded from INEX candidate list released two weeks ago. Chukou Masoludo was speaking on the breakfast a day after a court affirmed his candidacy. He says he met all legal requirements set by the Electoral Act. I was a bit surprised at the way that INEX could actually yield to this because there were also other subsisting court, three court, one court final judgment, but yes chairman there were two court orders federal high court order and state high court ordering INEX to maintain my nomination which it had actually received on the 2nd of July and that INEX ignored those three and then ignored the Electoral Act which section 31 subsection 3 mandated INEX to publish my name within seven days of receipt of the nomination. He received and acknowledged my nomination on the 2nd and it was supposed to have published my name and the particulars on or before the 9th.


This paper proposes a novel algorithm for separating ground and non-ground measurements from airborne LiDAR data. It uses a rigid cloth model to approximate the ground surface, allowing for easier parameterization and faster processing than other methods. The resulting ground points can then be extracted from the LiDAR point cloud using a comparison process. This algorithm has been validated on benchmark datasets provided by ISPRS Working Group 3-3, achieving an average total error of 4.58%. This makes it comparable to many existing state-of-the-art filtering algorithms. The proposed method is easy to use and could potentially make LiDAR data more accessible to those who do not have extensive experience or knowledge in the field. This article was authored by Wu Mingzhang, Jian Baqi, Peng Wan, and others.


Mark Twain, they said there's two important days in a person's life. The day you're born and then the day you figure out why. If someone comes up to you and says, I just don't know what my purpose is. I'm gonna hit that second day yet. What are some things you tell them to figure that out like their purpose? If you had three hours on Saturday, nothing to do, what would you do? Independently, money was not an issue. At the end of doing it, you're not so much stressed or tired, you're more fulfilled. Even though it was hard work, even though it was a long day, even though it was a lot of effort, it was empowering, it was exciting. We're wandering generalities, meaning that we exist, we go day in and day out doing the same thing, rinse and repeat, without pushing the pause button and taking the time to really design something. To really like take a pen and a paper and to think through it, to get methodical about what you would want your life to look like. Listen to what pulls on your heartstrings. I really advocate for starting there.


That was that was cool, but you know I was just really looking for an opportunity at that time, but I'm glad to be back You feel like it's sort of I don't know poetic justice that you get the opportunity now almost almost. Yeah Of course I want to you know contribute on special teams that'll be huge and then just in the office Like you said a role just fighting the lane where they need me full back tell back whatever I can do You know past protection. I'd love to get in and do some things to help the team out that way It was tough because you know Minnesota they invested a lot and Help develop me and I really had a good relationship with those coaches up there But at the end of the day is a great opportunity Back down in Nashville with a good team fighting for a playoff spot. So had to have to come try and get it Yes, that's big, you know preseason is different than regular season It's a lot more on regular season and you know, that's everybody's dream to play on Sunday So I'm really excited Have they formulated a role for you have they said this is what we see for you with this team Yeah, we got some stuff in you know some You know some game plan stuff and I'm really just trying to learn as fast as I can and see see where I can get in But you know, there's some stuff in the in the game plan Well, I mean obviously Derek Henry's a great back and then Dion Lewis has been in the league for for a long time Because he's a really smart player really good player brings a lot to the table as far as like running routes pass catching and stuff So just getting to know them today and meetings and things like that was pretty cool Oh, yeah, well, I got to meet with With coach do as soon as I got back and we we went through a lot of the basics and spent some time some good time together Would it be in the bar weekend everything? When you play Little bit a little bit at the local day it did it did cross my mind so I'm glad to kind of you know get that get that look Now you still got the creases in your shirt. Yeah brand new brand new


That was fun. The streets are dry. Set the table up over here. The flood warning expires in five more days. Real quick, like we did yesterday, what works is it's kind of a review. And we go through all the six pillars again that you went through yesterday. And this is obviously a whole new six pillars with the exception of pillar five and six. Our lockdown power and delivery are basically the same setup. And setup in the shot is shot is a little more compact, right? Everything's gonna be tighter, shots in, everything's more here. Set up, wind one, right? Wind one, speed on the ground. Wind two is where we get the foot moving. And then we go, we're gonna move into a center mashup. See how I move my knee to 10 o'clock? I'm on balance and I load and coil correct. I can come straight up and I'm gonna be able to hold the position. So get lower, get all the way to the bottom of your coil. Think of a sprinter out of the blocks.  Pop, push off the block, okay? We're gonna need to give up the gym and we're gonna go outside. Additional throwers, let's go through top to bottom, pillar one, okay? And then we're gonna go into three. Remember, heel up and drill down. So you guys are looking better. I see the rotation pivot. I like the, the hips are, I see a lot of good rotation going on. Rotational throwers with here. We set the angle, we create the counter, we elevate or drop. Heel up without moving the upper body, drill down. Set your angle, where's the angle, where's my hip? See how I'm gonna pull it in shorter? Rotation, I'm gonna feel the stretch, right? Everything forward. Here, okay? It's real. That's it. Go. Same, heel down, hip forward. Then you learn to stretch. Stand throw. We're gonna be now working. We really set the angle, top, top, top, especially rotational throwers. Right here, here, here. And then we're getting that deal up. That's why we do that in the sequence. This stays long. Now everything's gonna be a flying force to the ground and we're gonna drive through, right? Go to glide wheels. I mean, this is a common thing. The shift, flex it, flex it. Yeah, that's gonna help me rotate the right. Three through six. We're creating our load. Look at the angle of my right leg. It's coming up straighter. It's not totally straight. It's angled back so it can turn easy. It's not coming through, so that's why you feel like this. To, and torque the shot around. Yep. Okay, so it wasn't bad. You still could've opened that left a lot more. In shoulders tilt it over. Heel down. Sink, sink. Open your knees a little bit. Yep, okay. Now, wind here in this way. No throwers, pillar one. We're gonna be here. Okay, so we're gonna keep the feet and you're gonna feel this. And really, this is designed to teach you that again. We'll teach you the left side system. When everything's locked, we can't wind as far. And we're gonna be able to feel this. Okay? Watch then we will see you. The snow. That is a serious tent, man. You weren't even so much. I can't believe we didn't open it. Open them up. Arizona, they don't do that. We do, actually. They don't? He was trying to help me out. Right, right, exactly. I always have that tent up. We have done it first, I think this is the first annual summer throws tour on a big way, torrential storms as we discussed yesterday, just nuts. We had a great outdoor shot session today. Tons of things going through pillar connection for the glide and the rotational shot. We had people in from Canada, Pennsylvania, Wisconsin, Indiana, Michigan, Minnesota, Wisconsin, Iowa, and of course, all around here in Chicago.  It's just been a blast. Summer tour was total success and we finished on a high note here in Chicago. Great turnout and it's just been a lot of fun so hopefully you've enjoyed watching. Post camp, post camp summer tour. Summer throws tour concluded. City of Chicago, gonna have some drinks. We're gonna have a fun time, blow up a little steam and crew heads out tomorrow so we're gonna have a fun time. And I'll do something cheesy. I love you, man! They're always thrilling. I really just wanna thank everybody for watching. It's been a ton of fun.


Hello there my beautiful lovely internet friends. I'd like to introduce you to the weakness of my little nubbin here after surgery But we are getting so much better. Ah, baby Here we have Sophie the self-appointed protector of the nubbin and Leo who is sleeping with his head off of the bed That can't be good for you, buddy. A few days ago. I posted a surgery update video I was looking pretty rough and I am so happy to report that dear Lord a week makes all of the difference And I am feeling really good if you're curious what I'm talking about with surgery I'll post the two videos down below about what actually needed to be done and why but the reason I am making this video today is for all of you nerds out there Yeah, I see you who are fascinated by medical things specifically by medical both and things that go wrong really really a large Warning if you are someone who does not do well with anything that might make you squeamish I would highly recommend not watching this video. I'm gonna include pictures of everything that occurred with a extraordinarily bad allergic reaction on most of the lower part of my leg after surgery because it's like Absolutely awful and also really fascinating to me because that's just sort of how my brain works But it's not gonna be for everyone and I will say that as someone who is not squeamish really at all Maybe it's the fact that like he was on my own skin, but I was I was even like don't look at this Don't look at this I was aware of the fact that I had an allergy to something called Chlorhexidine in surgery or so I thought because the last time that I had a major surgery when they revised my leg I had what I thought at the time was a really bad reaction. I did a video about it I'll link that down below. This is some of what it looked like in my mind That was like a zombie leg right you gross oh Joe of the past You knew so little it can get so much cooler looking and way more painful turns out what I actually have a severe Allergy to is something called mastis all You can't stand there. Come here. Lay down. Good job. So heading into this surgery I let the doctors and nurses know chlorhexidine can't use it on my skin should be all good to go What is this face? What is this face? Coming out of this surgery and the few days following it I have not ever experienced the kind of pain that I was in like the amount of pain that I was in It was real bad. I was not leaving the hospital. I really wanted to go home But like I've had my leg literally cut off twice and this pain was worse And the feeling that I kept coming back to was like it literally feels like my leg is burning off Like there was a ton of nerve pain. There was like phantom pain There was incision pain because there were three incisions there that were pretty large But then it like my whole leg felt like it was burning off I chalked this up to nerve and phantom pain and I talked to doctors and nurses about it Understandably they also chalked it up to yeah, your nerves were operated on and you know it makes sense It sucks that it's so bad, but let's see what we can do to get under control But as days went on and it was in moments pretty unbearable I began to really wonder like what the hell is going on and then a serendipitous string of events occurred Unfortunately, one of the issues was that there was a pain pump that was installed to inject medication directly into my leg Underneath the splint that I had that had never been turned on one day when my doctor was coming in to check on me He caught it the way that this pump in particular was activated is for this little part to be taped down to your skin So that your body heat warms it and lets it run So my doctor cleaned that site with mastosol taped it down put some Saniderm over it to keep it there and we should have been good to go pretty quickly It didn't feel right like that area where he had slathered whatever it was it started out by looking just like red Just irritated little itchy, but then it did just it kept spreading and progressing and almost looked like shingles And then got like pussy and weird and kept growing and then it felt like my skin was burning I thought to myself like what is going on with the rest of my leg kind of feels similar like obviously way Way worse, but I wonder if something else is going on when you have a splint on you know You can't move your leg you can't touch your skin Obviously it gets itchy and so one day something felt really itchy and so I was kind of like sliding my finger underneath the splint Like gently itch an area and I felt something like raised and weird And I was able to kind of peek underneath it and saw that it looked like red and inflamed and at that moment I got pretty concerned because knowing the kind of allergic reaction I had had before I was like shit What if something happened again called my nurse and she was able to kind of take a look because we couldn't really get to What was going on without taking off the splint and she agreed that yes It was concerning but kind of like the floor doctor on call and the nurses said we're not gonna touch this until tomorrow when your surgeon Can actually come and do it himself. He's very particular about dressings. We don't want to mess with it However, I was not in a place to wait any longer because again knowing what kind of reaction I had had before I was just really worried. So I ended up calling my doctor's office long story short He actually came at the end of his work day, which was very kind of him to take it off and take a look so we took this splint off and This was the first day really want to stress. This was not the worst day We got more cool pictures coming up, but it was very clear that I had an allergic Reaction to this from the location of it. It was like immediately clear Oh, that is like a severe mastosal allergy It also matched what was going on with my hip and unfortunately Like it had just been kind of like eating my skin underneath the splint for quite some time And it's not like they could scrub it off because it would literally scrub my skin off So all they could do was sort of like gently pat it down Apply some like salve to it and wrap it back up Also, they didn't want to put me on any steroids or anything like that because I tend to have a like weak immune system and an increased Risk of infection steroids can lower that even further after a major surgery They didn't want to put me on anything so it was kind of like a you got to deal with it thing So they went to change it the next day and these are like the Chef's kiss someone please put me out of my misery pictures where it kind of it kind of reached the height of You know spreading oftentimes things will look worse before they get better I don't know maybe I'm overreacting here, but it looks atrocious. Oh god. I just remember this This is one of the most gross parts when they wrapped it back up Right as they took the bandages off a lot of the blisters popped and like a lot of the skin that was stuck To what was around it came off and overnight whatever was draining from all of this Literally soaked through like layers and layers of gauze and ace bandage where it was like like you touched it anywhere on that Splint and it was very moist super gross Yeah, so I spent a couple more days in the hospital and then they sent me home These are some of the pictures of it Continuing to heal and can I just say if anyone else has this thing you'll get it It took so much so for straight not to like pick that skin off of there because if you can see it's kind of coming off And all I wanted to do was like peel all of it off because it was gross and it felt terrible But yeah, that wouldn't be a good idea to do because then it would literally be opening my skin up and be an open wound And even increased risk of infection which is no fun It's just not a good time at this point There wasn't like a ton of pain from the ear allergic reaction anymore at least that I could tell so itchy Benadryl didn't do anything Not just digging my fingers into my leg to stop the itching was something I'm very proud of myself not for doing now from the time It's a injury I wasn't allowed to like actually have my splint off off or get it wet or anything like that But when that day came you best believe that I got everything off my skin that I could and it still looked atrocious Like this is one of the photos from after like rinsing off You can tell that it's just so angry looking but being able to actually wash it off helped so much It definitely started feeling and looking better. I kind of feel like my skin molded a couple times I don't think skin really does that on humans But it's like it regenerated a number of times and had another layer peel off then another layer peel off I was a little bit concerned that it would like Permanently scar or permanently have this discoloration if it did not the end of the world, right? But I will say check it out guys Look look at this almost indiscernible where the reaction was there are some little scars from where I may be picked at things After I got it off actually don't think there's scars. I think it's just still healing So with with my experience with this allergic reaction whenever I introduce myself to a new person I think I'm gonna be like hey, I'm Joe. I have a mastasol algae Please don't please don't bring it near me just random people on the street just in case now with that other reaction that I had Years ago. I am curious if that actually was to mastasol and not chlorhexidine They didn't realize that or I didn't realize that not sure in any case. We know now So if you made it this far, you're probably a fellow medical nerd like I am and just fascinated by this stuff I want to make this a totally separate video because I didn't want to include anything that someone might not want to see in like The main surgery update video. Thank you for making it to the end of this video to my patrons over on patreon Thank you so much for your continued support of my channel. I couldn't do this about you guys Do you watching this video right now? Thank you so much for spending a few minutes out of your day here with me today Could be anywhere else in the world doing anything else and you chose to hang out with me and Leo and Sophie for a little While and hear my story hear my tale and I really appreciate that I love you guys I'm thinking about you and I will see you in the next video. Bye guys


Hello, my name is David Garski and I'm a software engineer at Wolfe SSL. This is part two of a video series for Wolfe Boot with the SM32, and today is the Getting Started video. I'm going to talk about the package and how to download it, the structure of the folders, and where to find the documentation. So it's pretty simple. All our software is open source. It's written in C and it's available on GitHub or our website. So from our website, this is our homepage. You can click the download link and Wolfe Boot is listed as an item here on this page. So fill out some basic information and then you can choose our latest Wolfe Boot release right here and download it. And a little tip, the information up top is not required, and you can say you've written the license, screaming down. The other way to do it is to go to GitHub. So it's github.com slash Wolfe SSL slash Wolfe Boot. And here you will find all the latest sources in the master repository and you can clone it using this command directly. Those are the two ways to get the archive. I'm going to talk now a little bit about the folder structure. So the configuration templates for each platform, the ones that we test with, we put into this config examples directory. And the idea here is that you can take one of these example files, rename it as .config in the root, and then all of the parameters for building that platform are pulled in and you can just use make against those. And we just reviewed all the docs and markdown format for the manuals. In the HAL directory, we have all the porting layer hardware abstraction files for each target. The lib is where all of the third party or Wolfe SSL, Wolfe TPM submodules live. The include directory is where you can find the headers, including the application level APIs, source directory, self-explanatory. Inside the test app directory, there are example applications. Some of them just turn on an LED after boot. Some of them have UART support and even go as far as having support for sending updated firmware through the UART, as an example. So let's see. So for example, in the HAL directory, each of the ported platforms is in here with basically bare metal drivers that are required for the flash and the clocking. All of the UART or spy drivers are in here if using, for example, external spy flash. So the library itself, these are the headers, the actual, this is the header that would be used by your application for the update or success API calls. They're here somewhere, I just don't see it. Yep, like success or update trigger. Those are the public APIs that you would call from your application that sets a flag that says, hey, I want to reboot or I successfully booted. The test applications, so there's test apps for each of the example platforms that we have here. Some of them are more advanced and they'll do the firmware update example that I was talking about with the UART, like this one for the F4. And there's actually a tool, a command line tool that you can build for flashing over the UART as a test, UART flash server. We also have key tools in here written in C and also Python. There is also a Visual Studio project for building this on Windows. And the documentation for the key tools is in that docs directory and signing. It shows how to set up the Python version or to build the C version. What are the command line arguments and how to sign generate keys. It also supports signing using external like HSM where you'd want to hash, give the hash to an HSM and have it signed with its private key. We also have on GitHub a Wolf boot examples repository. And there are many examples in here, including the measured boot example. There's one that does the TLS-13 for a firmware update. You can see several different ones. And we're adding more all the time. This read me covers some of the features, the components, and how it was built, how to build it. And let's see. So the documentation is actually located in the docs directory. And it's all in markdown format. There's documentation for the APIs called from the application side, the how APIs, how to use the key tools for key generation and signing. There is a markdown file here with the list of supported targets with instructions for them. One of the things you have to do is figure out the partition mapping at build time. And I'll go over this in detail in a later video. So other documentation here about how to build it, how to use encrypted partitions, documentation about the the firmware images and the header and how it's designed. And there's also documentation here for measured boot when used along with both DPM with the platform configuration registers. Let's see. So that pretty much covers it. Thank you for watching part two of this Wolf boot getting started video. Stay tuned for part three, which will cover an out of the box experience with the STM32G0. If you have any questions, you can email faxfacts at wolfssl.com.


Good day everybody. Dr. Sanjay Sanyal, Professor Department Chair. The first part of this video is going to be demonstration of the small intestine.  The small intestine consists of the G-genome, Proxima-2-5 and the Alium, the terminal 3-5. Even though the small intestine is about 6 to 7 meters long, the line of attachment of the mason tree is only 45 centimeters and it extends the way my fingers are located. It extends below at the level of the upper end of the right sacroiliac joint and above at the tip of the L2 transverse process. So, this is the attachment of the mason tree of the small intestine. So, therefore, which from such a narrow attachment 6 to 7 meters of small intestine are highly coiled inside. We know that the G-genome since is the proximal portion, it occupies the left upper quadrant of the abdomen while the Alium occupies the right lower quadrant and also the lower portion of the abdomen. Now, let's take a quick look at what the key salient features of the G-genome versus the salient features of the Alium. Now, if you were to take a look at the G-genome, we notice that the G-genome is thick, fleshy and highly vascular. That is the structure of the small intestine itself. Then, if you were to take a look at the B-centry of the G-genome and especially if you were to hold it up against the light, we notice that the fat content of the mason tree is relatively less. There are small vascular arcades which are just very few in number and the straight vessels which are referred to as the vasarecta, they are long and they go and supply the G-genome. Now, we will open up a section of the G-genome and we notice that the G-genome mucosa is thrown into multiple folds and these are known as the circular folds or the pli-case circularus also known in clinical terminology as valvule conventis. So, these are the features that we see of the G-genome. That is the reason when we do a very big follow-through of the G-genome, we see this feathery appearance of the G-genome mucosa which is referred to as the valvule conventis. Now, let's take a look at the loop of ilium. Straight away, we see that the ilium is thinner, it is more pale, so it is relatively avascular. In this context, I can mention one important clinical correlation. Whenever we do any ilial surgery, like for example, resection and astromosis, chances of ischemic necrosis are more common in the ilium because of its lower vascularity and therefore, we have to be more careful. Let us come to the mis-entry of the ilium. We can straight away see that the ilial mis-entry is much more fatty and not only that, it is densely covered with fat, we cannot even see the blood vessels and the fat is even encroaching onto the ilium, which was not the case of the G-genome. And if we were to hold it up to the light, we notice that there are multiple loops of vascular arcades. So, there are at least three or four generations of vascular arcades and they go right up to the margin of the intestine. And after that, the vasarecta are much smaller because they have to travel a shorter distance to the mis-entry side of the ilium. So, that is a considerable difference from the G-genome. And now, we will open up a segment of the ilium. We notice folds of the mucosa are very few in number and they are much thinner. And as we go further distally, we will find that in certain places, mucosal folds will almost disappear and they will become almost structureless. And just for the sake of comparison, we have held the G-genome opened out and the ilium opened out side by side and you can see the comparison. The mucosal folds are much dense and very large and the mucosal folds are very small, thin and almost non-existent in the ilium. So, this is one difference. Now, we will show the comparison of the mis-entry by holding it up here and by holding it up here. And we can see again that the mis-entry is less fat, very dense fatty.  Blood vessels are easily visible, not visible. Vascular arcades are few and the vasarecta are long in the G-genome. Vascular arcades are many and the vasarecta are small. And finally, the intestine itself, we can see that it is very thick red in the case of G-genome while in the case of ilium, it is thin and pale. So, these are essential differences between the G-genome and the ilium. And finally, before I conclude, this is the iliocecal junction. The interior of the iliocecal junction, I shall demonstrate when I open the cecum in the large intestine. So, thank you very much for watching, ladies and gentlemen. If you have any questions or comments, put them in the comment section below. Have a nice day. Dr. Sanja Sanyal signing out. Make sure you like this video.


In this video, WayV and I play Dream's Ultimate Tag. We get teleported to random locations and have to survive 2 minutes without getting tagged by our opponent. The first person to get to 7 wins gets to choose a skin for the loser to wear, who will take the victory you're about to find out. Also, YouTube's statistics says that only a small percentage of people who watch my videos are actually subscribed, so if you end up liking this video, please consider subscribing. It's free and you can always change your mind later. Alright, enjoy the video. Alright, so if I win, you have to wear a skin that I choose for 5 days, and the same goes for me if you win. Yes. Be prepared to lose.  It's gonna look so beautiful on you. I have the perfect skin for you. Oh, I'm sure you do, I'm sure you do. So who's gonna hunt first? I totally have something prepared. Who's gonna hunt first? You? You wanna hunt first? Alright. Yeah. Alright, let's go! Okay. Okay. I need to survive for two minutes. This is gonna be horrible. No. Yeah. No. You'll be fine. I'm sure I will. Where are you?  No, no, no, no, no, no, no, I see you. No, no, no. You do not. You do not see. No. I do. You don't, though. You don't, though. I think I do. No. No. Did you fall?  No, nothing happened. Nothing happened. No. Fish. Okay, it's fine. It's fine. It's fine. 60 seconds. LEA ME ALONE! LEA ME ALONE! Where are you Kiro? LEA ME ALONE!   LEA ME ALONE! Uh huh uh huh, what's up? I see you. No no no no no no. Oravie Oravie. No no no no no. Where are you? Where are you? Where are you? Where are you?   Are you sure ready to win?  Where are you? Oh, oh Come back here. I don't want to yes Yes, hi Hi friend I Don't like this. I don't like this. I don't like this sound like this.  Leave me alone leave me alone. Leave me alone. Leave me alone. Leave me alone. No leave me alone Yes Leave me alone. Oh, I just like no Yes Leave me alone One two two. Oh boy. I think of one strategy that you could use I'm on land. What? Yeah. Hacks. Exposed. Exposing video coming out. No, please. My reputation. No. Yes. Yes. Yes. Yes. Yes. Yes. Yes. Yes. Yes. Yes. Yes. Yes. Yes. No. Oh, no. Oh, Wavy. No. Oh, Wavy. No. Oh, Wavy. No. Oh, Wavy. No. Oh, Wavy. No. Oh, Wavy. No. Oh, Wavy. So. Yes. Oh, Wavy. No. No, no, no, no, no, no. Yeah. No. No. This is a scam. Boring. I want trees. I think everyone wants trees. Is that gravel? Is that all? No. Oh my God. Why is this all gravel? I'll start loading. I'm scared.  Oh, no. No, okay. Okay. Okay. That's fine. I can work with this. I can work with this No, there's foxes murdering a dog what did I just witness witness? Oh, where are you? Oh? A V I don't know Are you I saw something die Yes, thank you. Thank you. Are you I? Know exactly where are you? Where are you? Where are you? Where are you? Where are you? 60s, no Yeah, where where'd you go? I don't know.  It said that you were The opposite direction what? My god Hi This guy base you got there. I like it. It looks really pretty you Looks really appreciate it. Oh, you're gonna drop into the water. I see I see strategy bye Can't I can't see. Oh, no. Oh, no, no, no, no, no, baby Good. How are you doing pretty good? Thanks for asking. That's good Appreciate that you um Care about my well-being that means a lot to me as a friend I'm sorry it has to happen. No, it's cold again Why is there cool? I got a dolphin.  Yes Let's go Let's go Why not? I actually have a compass that points me to where you are. I probably shouldn't be asking that I'm actually Underground you're underground. Well, thank you for letting me know so I know you're not bluffing and you actually are So, thank you for giving me this and for me. Um, you are directly Around me. Um, yeah, no, you're directly below me Yeah, I'm hacking what wait.  Oh, how what? Oh, okay. Okay.  I'll be up to say hi Okay, oh, you have another you have another water source. That's fine. That's y'all good. Yeah, you do. Yeah, you do. Oh, I do Hi, buddy Oh, no No, that was almost so big that was almost so big brain That could have been so big. Hi Oh What was that spawn holy muffin? What the muffin was that I spawned in lava Okay, I'll work with it. This is fine. Everything is gonna work with this everything is a okay Everything I need one more to win work with this. I I need I need one more to win. I'm confident. I'm confident that I got this No, no go away go away go away Go away go way go away. Yes. Yes. Yes. Yes. Yes. Yes. Yes. Yes, yes You'll never catch me in time what you'll never catch me in time. I'm on your ground you'll never catch me in time Wait. You'll never catch me. Oh no no no no no. Okay okay. What? This is fine this is fine. This is fine this is fine this is fine this is fine this is fine. This is fine. This is fine. This is all. This is fine. This is fine. No, why is there creeper here? Why is there creeper here? Yes, actually blow up. Yes. No, zombie. Let's go away. Yes. Ten seconds. I found the cave. No. No. I found the cave please. You don't have enough time. You don't have enough time. You don't have enough time. I see you. Wait no I'm going to drown. I'm going to drown. I'm going to drown. Wait does that mean I win? Well GG. I'll send you the skin right now and you can put it on. Okay. What is this? Put it on put it on put it on. Yes. Muffin head.  Are you happy? I am very happy. She's a muffin head. Well, thank you guys for watching this video.  Hopefully she'll do some streams or videos with this. But yeah. Bye.


Live from San Jose, California. It's theCUBE, covering Big Data Silicon Valley 2017. Okay, welcome back everyone. We're here live in Silicon Valley. This is theCUBE's coverage of Big Data Silicon Valley. Our event in conjunction with O'Reilly, Strata, Hadoop. Of course we have our Big Data NYC event and we have our special pop-up event in New York and Silicon Valley. This is our Silicon Valley version. I'm John Furrier with my co-host Jeff Frick and our next guest is Scott Niles, the CTO of Hortonworks. Great to have you on. Good to see you again. Thanks for having me. You guys have an event coming up from Munich so I know there's a slew of a new announcements coming up with Hortonworks in April next month in Munich for your EU event.  But some interesting news this morning. We had way on yesterday with Microsoft Azure Team, HD Insights. That's flowering nicely. I've got good, good, good bet there. But the question has always been at least from people in the industry. And we've been questioning you guys on, hey, where's your cloud strategy? Because as a distra, you guys have been very successful with your always open approach. Microsoft Azure guy was basically like, that's why we go with Hortonworks. You guys are pure open source, committed to that from day one, never wavered. But the question is, cloud first, AI machine learning. This is a sweet spot for IoT. You start to see the collision between cloud and data. And in the intersection that is deep learning, IoT, a lot of amazing new stuff going to be really popping out of this, your thoughts and your cloud strategy. Yeah, I mean, obviously we see cloud as an enabler for these use cases, right? In many instances, the use cases can be ephemeral. They may not be tied immediately to an ROI. So are you going to go to the capital committee and all this kind of stuff versus, let me go prove some value very quickly. So it's one of the key enablers kind of core ingredients. And when we say cloud first, we really mean it. It's something where the solutions kind of work together. At the same time, cloud becomes important. Our cloud strategy, and I think we've talked about this in many different venues, is really twofold. One is we want to give a common experience to our customers across whatever footprint they choose. Whether it be they roll their own, they do it on-prem, they do it in public cloud, and they have choice of different public cloud vendors. And we want to give them a similar experience, a good experience that is enterprise grade, kind of platform level experience. So not point solution, kind of one function, and then get rid of it, but really being able to extend the platform, what I mean by that, of course, is being able to have common security, common governance, common operational management, being able to have a blueprint of the footprint so that there's compatibility of applications to get written. And those applications can move as they decide to change their mind about where their platform hosting the data. So our goal really is to give them a great and common experience across all of those footprints, number one. And then number two, to offer a lot of choices across all of those domains as well, whether it be, hey, I want to do infrastructure as a service, and I know what I want on one end of the spectrum, too. I'm not sure exactly what I want, but I want to spin up a data science cluster really quickly, boom, here's a platform as a service offer that runs and is available, it's very easy to consume, comes pre-configured and kind of everywhere in between. By the way, yesterday, Wei was pointing out 99.99 SLAs on some of the stuff coming out. Yeah, the SLAs are amazing. And obviously, in the platform as a service space, you also get the benefit of other cloud services that can plug in that aren't, wouldn't necessarily be something you'd expect to be typical of kind of a core Hadoop kind of platform. So yeah, getting the SLAs, getting disaster recovery, getting all of the things that the cloud providers can provide behind the scenes is some additional upside, obviously, as well, in those deployment options. So having that common look and feel, making it easy, making it frictionless are all kind of the core components of our strategy, and we saw a lot of success with that in coming out of year-end last year. We see rapid customer adoption, we see rapid customer success, and frankly, I see that I would say 99.9% of customers that I talked to are hybrid, where they have a foot in on-prem, and they have a foot in cloud, and they may have a foot in multiple cloud. And I think that's indicative of what's going on in the world. Think about the gravity of data, right? Data movement is expensive, right? And analytics and multi-court chipsets give us the ability to process and crunch numbers at unprecedented rates. But movement of data is actually kind of hard. There's latency, it can be expensive. And a lot of data in the future, IoT data, machine data, is going to be created and live its entire life cycle in the cloud. And so the notion of being able to support hybrid with a common look and feel, I think very strategically positions us to help our customers be successful when they start actually dealing with data that lives its entire life cycle outside the four walls of the data center. You guys really did a good job, I thought, on having that clean positioning of data at rest, but also you had the data in motion, which I think ahead of its time, you guys really nailed that. And you also had the IoT edge in mind. We've talked, I think, two years ago, and this was really, I'm not on everyone's radar, but you guys saw that. So just made some good bets on the HD insight. We talked about that yesterday with a way on here and Microsoft. But so edge analytics and data in motion are very key right now because that batch streaming world's coming together and IoT's flooding it with all this kind of data. And we've seen this success in the clouds where analytics has been super successful with powering by the cloud. So I got to ask you, with Microsoft as your preferred cloud provider, what's the current status for customers who have data in motion? Specifically IoT, too. That's kind of the common question we're getting, not necessarily the Microsoft question, but okay, I got edge coming in strong and I'm going to run a lot, certainly hybrid in a multi-cloud world, but I want to put the cloud stuff for most of the analytics and how do I deal the edge? Wow. There's a lot there. You have 10 seconds, go. Yeah, thank you. Take your favorite piece.  Yeah. So I think it boils down to kind of a bigger macro thing and hopefully I'll kind of peel into some specifics. I think number one, we as an industry kind of shortchanged ourselves talking about Hadoop, Hadoop, Hadoop, Hadoop, Hadoop. I think it's bigger than Hadoop, not different than, but certainly bigger, right? And this is where we started with the whole connected platforms indicating a kind of traditional Hadoop comes from traditional thinking of data at RAS. So I've got some data, I've stored it, I want to run some analytics and I want to be able to scale it and all that kind of stuff. Really good stuff, but only part of the issue, right? And the other part of the issue is data that's moving, data that's being created outside of the four walls of the data center, data that's coming from devices. How do I manage and move and handle all of that? And of course there have been different hype cycles on streaming and streaming analytics and data flow and all those things. What we wanted to do is take a very protracted look at the problem set of the future and we said, look, it's really about the entire life cycle of data from inception to demise of the data or data being deleted, right? Which very infrequently happens these days. Or cold storages. Yeah, cold storages. Tearing. You know, it's created at the edge, it moves through, it moves in different places, it's landed, it's analyzed, their model's built, but those models get deployed back out to the edge. That entire problem set is a problem set that I think we, you know, certainly we at Hortonworks are looking to address with the solutions. That actually is accelerated by the notion of multiple cloud footprints. Because you think about, you know, a customer that may have multiple cloud footprints and kind of trying to tie the data together. It creates a unique opportunity and I think there's a reversal in the way people need to think about the future of compute.  It's always been let me bring all the data together to the applications and have the applications run and then I'll send answers back. That is impossible in this new world order, whether it be the cloud or the fog or any of the things in between or the data center. Data are going to be distributed and data movement will become kind of the expensive thing. So it'll be very important to be able to have applications that are deployable across a grid and applications move to the data instead of data moving to the application. And or at least to have a choice and be able to be selective so that I believe that ultimately scalability, five years from now, 10 years from now, it's not going to be about how many exabytes I have in my cloud instance. That'll be part of it. It'll be about how many edge devices can I have computing and analyzing simultaneously and coordinating with each other this information to optimize customer experience, to optimize the way an autonomous car drives or anywhere kind of in between. It's just totally radical but it's also innovative. You mentioned the cost of moving data will be the issue. So that's going to change the architecture for the edge. What are you seeing with customers? Because we're seeing a lot of kind of people taking a protracted view like you were talking about and looking at the architecture specifically around, okay, some pressure but there's no real gun to the head yet but there's certainly pressure to do architectural thinking around edge and some of the things you mentioned. Patterns, things you could share, anecdotal stories, customer references. The common thing is that customers go, yep, that's going to be interesting. It's not hitting me right now but I know it's going to be important so how can I ease into it and kind of felt the suspenders? How can I prove that this is going to work and all of that? And so we're seeing a lot of certainly interest in that and what's interesting is we're able to apply some of that really futuristic IoT technology in Hortonworks Dataflow that includes NIFI and Minify out to the edge to kind of traditional problems like let me get the data from the branches into the central office and have that round trip communication to a banker who's talking to a customer and has the benefit of all the analytics at home but I can guarantee kind of that round trip of data and analytics. Things that we thought were solved before can be solved very easily and efficiently with this technology which is then also extensible even out further to the edge and so in many instances I've been surprised by customer adoption where they're saying yeah I get that but gee this helps me solve a problem that I've had for the last 20 years and it's very easy and it sets me up on the right architectural course for when I start to add in those edge devices I know exactly how I'm gonna go do it. So it's been actually a really good conversation that's very pragmatic with immediate ROI but again kind of positioning people for the future that they know is coming and then doing that by the way we're also able to prove the security right? Think about security is a big issue that everyone's talking about cyber security and everything and that's typically security about my data center where I've got this huge fence around it and it's very controlled. Think about edge devices that are not outside that fence so security and privacy and provenance become really really interesting in that world and so it's been gratifying to be able to actually go prove that technology today and again put people on that architectural course that positions them to be able to go out further to the edge as their business demands are. And it's such great validation when they come back to you with a different solution based on what you just proposed because that means they really start to understand they really start to see how it can provide value to them. Absolutely, absolutely but so that is all happening and again like I said this, I think the notion of the bigger problem set where it's not just storing data and analyzing data but how do I have portable applications and portable applications that move further and further out to the edge is going to be the differentiation of kind of the future successful deployments out there because those deployments and folks who are able to adopt that kind of technology will have a time to market advantage, they'll have a latency advantage in terms of interaction with a customer not waiting for that round trip and really being able to push out customized tailored interactions whether it be again if it's driving your car and stopping on time which is kind of important to getting a coupon when you're walking past the store and anywhere in between. It's good you guys are certainly in well position for being flexible, being in open stores that's been a great advantage. So I got to ask you the final question for the folks watching. I'm sure you guys answer this either to investors and whatnot and customers. A lot's changed in the past five years and what's happening right now you just illustrated out the scenario with the edge is very robust, dynamic, changing but yet value opportunity for businesses. What's the biggest thing that's changing right now in the Hortonworks view of the world that's notable that you think's worth highlighting to people watching that are your customers, investors or people in the industry? Yeah, I think you brought up a good point the whole notion of open and the whole groundswell around open source, open community development as a new paradigm for delivering software. So I talked a little bit about a new paradigm of the gravity of data and sensors and this new problem set that we got to go solve. That's kind of one piece of the storm. The other piece of the storm is the adoption and the wave of open community collaboration of developers versus integrated siloed stacks of software and that's manifesting itself kind of in two places and obviously I think we're an example of helping to create that. Open collaboration means quicker time to market and more innovation and accelerated innovation in an increasingly complex world so that's kind of one requirement slash advantage of being in the open world and I think the other thing that's happening is kind of the generation of workforce, right? When I think about when I got my first job I typed a resume with a typewriter, dating myself. Whiteout. Yeah, with whiteout. I was a typewriter. You know, resumes today is basically name and GitHub address, right? And here's my body of work and it's out there for everybody to see and that's the mentality. And they have the Q videos up there as well, of course. Well, yeah, I'm sure. So it's kind of like that shift to this is now the new paradigm for software delivery. And I think it's a very interesting way. This is important. I'm just joking aside, Scott. I mean, not the CUBE interview, but I mean, you're seeing it in media and entertainment. No, we're seeing people put CUBE interviews on their LinkedIn. So this notion of collaboration in a software engineering mindset. So you go back to when we grew up in software engineering now and went to open source. Now as GitHub is essentially a social network for your body of work. You're starting to see the software development open source concepts be applied to data engineering, data science is still early days, media, media creation, whatnot. So I think that's a really key point and the data science tools are still in their infancy. I mean, and that's And I think, you know, open, and by the way, I'm not here to suggest that everything will be open, but I think a majority and a majority of the problem that we're solving will be collaborative. It will be ecosystem driven and where there is an extremely large market, open will be the most efficient way to address it. And certainly no one's arguing that data and big data is not a large market. Yeah, but you guys are all in the cloud now. You got the Microsoft, any other updates that you think worth sharing for folks? You got to come back and see us in Munich, man. All right, and we'll be there. Well, theCUBE will be there in Munich in April. We have Hortonworks coverage going on in DataWorks. The conference is now called DataWorks in Munich. This is theCUBE. Here it's got now the CTO of Hortonworks Breakout. I'm John Furrier with Jeff Frick. More coverage from Big Data SV in Chinchengelo Stratahadub after this short break.