The chairman of the Congress Committee in Oendo State, Boyegai Siaka, says the committee to a large extent is satisfied with the conduct of World Congress in the state. Addressing reporters at the APC secretariat in Akure, Siaka explained that the turnout of party members for the exercise was highly impressive. He added that party members had had strictly to the consensus arrangement adopted by the party leadership. The exercise has been peaceful, the turnout has been impressive, the ethosism has been good. Of course, to cover three words, we cannot say that all of the places are 100 percent. There are few skirmishes in few areas which have been resolved in the last 24, 48 hours in one or two, you know, local government and one or two walks. These are just areas where we seem to need to talk to some people. And that doesn't represent more than 5 percent of the entire world that we have. Like I said, all of these have been resolved. And that's why we are confident to come in front of the press this morning to say that what we have been asked to come and do here by the National Office has been done, which is to conduct the World Congress. Hello, hope you enjoyed the news. Please do subscribe to our YouTube channel and don't forget to hit the notification button so you get notified about fresh news updates.


with uh... labor uh... labor's got a core issue so went to the hospital for some tests and that's it will do you know when it happened uh... not sure leave it at that for now and we'll we'll find out more soon enough and geo how's he doing uh... he saw it you know we x-rated just to be safe uh... negative uh... just foul the ball above his knee on the right side and then and then on the shin on the left side so stiffened up on a pretty good so he's in their eyes and now and will see how he is why was jay so successful early on in the game tonight you know what i thought he mixed really well uh... i thought he had a really good to see more tonight uh... you know to go with his forcing her but i thought the mix of the of the to see more i thought he through some good change ups in there work work both sides of the plate i thought his conviction was good and uh... i thought he was really on top of the really pitch efficient which was good to see obviously they clipped them with the back to back homers but uh... he was on the attack uh... i thought all night and and dictating counts for the most part which was really good to see third inning five to nine hitters with two outs put together all those hits and all those runs is that like a microcosm of what this team has been all season yeah i mean you know we've had a number of games where we've broken out you know where it hasn't always been the home run where guys up and down the order uh... have really put together some quality at bats and uh... you know i think that goes back to the approach you know i think they take so much pride in wearing you down that you know eventually when a guy falters a little bit they're ready to attack attack and pounce and we've seen where they've had those big beginnings like that a lot and it always hasn't been surrounded necessarily by the long ball and what is your level concern with uh... cleaver uh... uh... not sure i mean what he's he's there now get some tests so we'll have an idea hopefully uh... a little bit and how seriously do you consider taking out geo either of the times you know you uh... two trainers visit the army so well when he when he went down i saw him hoppin pretty good the first time you know i when i went out there you know that was on my mind that that that could be possible uh... you know many nice on start to walk it off a little bit the second one he goes down you're just like check them after the ending when he ran down the line uh... but then as the ending were on or that uh... into the next inning it seemed like he said it was stiffening up on him so we at that point it was time to get them out anyone else and you worry with this many injuries do you guys have that the guys will try harder to play through things and things will pop up or is that i mean do you have to talk to guys about that or don't push it or i mean i know you're getting down to the lower numbers now but no i mean look i mean in major league athlete you're always gonna have to play through some things so you try and have the dialogue as best you can try and get out ahead of things as best you can you know that's sometimes what an off day for a guy here and there when you know when they are healthy trying to be proactive with that so i mean we're talking about major league athlete so you're gonna grind through some things but hopefully as best we can uh... we're on top of all this stuff with them and and and keeping the communication going erin just on labor how did it all come about and and and how do you comprehend that this happens just about every day it seems like well just the last couple we've we've been uh... it's been a crazy year in that way you know with with the amount of things that have happened to guys uh... physically uh... but it's also been something that's been a real rallying cry for us and uh... i think it's you know not just brought a level of physical toughness to the room but it's force guys to to be mentally tough as well and and i think it's part of the hunger that exists with those guys because they have the mindset of nothing's gonna get in our way and nothing's gonna stop us and you know they all kind of pull for each other and and know that the next guy uh... is expected to do the job you kind of just answered this but do you worry at all about the injuries getting in the way of what you're trying to do you talk about having a special year you keep you keep winning these games but programs of october of postseason yeah i mean you can't lose everyone but we also feel like you know we're it's part of the game i mean you can't you know you can't plan for every injury or everything that that comes up you you the best you can uh... try to deal with it in a lot of cases you know we feel like we're in pretty good position with a number of guys that are eventually gonna come back but you can necessarily predict the future as far as this guy might go down you try and hopefully have as many guys available pop ready to go and and and do do our best to to preserve them and and uh... and keep them healthy and you you've had a few of these core injuries that does that make you look at anything that you guys are doing in terms of preparation i would say we always look at things we're doing i mean it may be even more so obviously this year just because we've had so many things come up so we're constantly trying to you know get better and get smarter and stay on top of things as best we can and evaluate how we do everything and that's at every level of our organization not just you know whether it's medical strength and conditioning are coaching everything we do work as an organization we try to be on top of everything and evaluating everything uh... but the course of it every every case a little bit different so i wouldn't read too much into that


What's up everyone? It's your girl Kenty here from Layton Sports Cards and I am ripping a personal box here for Jeremy Zee We have two 2021 Panini Obsidian football hobby boxes. All right, best of luck Jeremy. Thanks for hopping in here. We go See another color blast. So this guy out of the last Obsidian that we ripped Let's see if we can get another First up we have a King Henry here Derek Henry base purple giri brightwell to 100 for the Giants and Green Josh Jacobs Raiders to 50 on the green edge First hit up out of 100 volcanic on the jumbo patch Chupa Hubbard Let's shove a hubba To 100 going back to the Titans cutting edge of Derek Henry King Henry box here Derek Henry and we've got To 150 rookie Otto Kyle Trask Nice Trask rookie Otto. You go Jeremy and RPA out of 150 for the Steelers Pat Faramuth Big move action. All right box number two here for you Jeremy a rookie Devonte Smith Eagles Got yellowed a 25 tirey kill for the Chiefs on the yellow edge. That is three out of 25 And we've got a Joey Bosa on the purple to 100 chargers To 75 rookie eruption patch Jalen waddle Jalen waddle to 199 Browns rookie Otto Greg Newsom the second Greg Newsom the second Browns To 199 for the Jets rookie Otto Michael Carter Thanks Carter Otto there And last but not least to 50. We've got Ravens RPA Tylin Wallace on the two patch Three color on the bottom Tylin Wallace Alright Jeremy that will do it for your two boxes of obsidian. Thanks again for your patience for waiting and for your order We'll get this right out to you


Hi everyone! My name is Denea and I'm from the Long Beach Public Library. Welcome to today's summer reading program, SRP for short, toddler time. We are going to sing and have fun together. Don't forget, at the end of the story time, there will be a code to add to your beanstack SRP. Before we start, I'll be using a scarf and bubbles today, so keep those handy and I'll let you know when we'll be using those. Now it's time for us to do our hello song and I'll be incorporating sign language with this one.  Let's do that again. Hello! Good job! And now we're going to make the sign language for friends. We're going to put out both of our fingers and let's bend them and let's give them a hug. Good job! So this means friends. So let's do hello and let's do friends. Good job! And then we're going to do time. So we're going to point to our wrist. Time to say, this is say hello. Let's do that again. It's like hello friends. Time to say hello. Okay, we're going to do this twice, okay? All right, let's start. Hello friends. Hello friends. Hello. It's time to say, do that again. If you can't do all the moves, at least we can work on one at a time and the more that you do it, the more that it'll be very easy for you to do. Okay, so let's do it again. Hello friends. Hello friends. Hello. Okay, let's do the sign language of all the things that we learned today again. So hello friends. Say and then help. Good job. We'll work on it again next time. Okay, it's time for us to do some stretches. Let's get our arms ready. Let's shake them out. And we're going to reach them up high. We're going to stretch, stretch, stretch your arms high above your head, okay? So let's start. Stretch, stretch, stretch your arms high above your head. Stretch so high, reach the sky. Then we'll stretch again. Let's do it again. Stretch, stretch, stretch your arms high above your head. Stretch so high, reach the sky. Bring them down again. Okay, let's do it again. Okay, let's get our arms ready. Okay. Stretch, stretch, stretch your arms high above your head. Stretch so high, reach the sky. Then we'll stretch again. Let's bring it on down and stretch it up and up. And let's do it again. Stretch, stretch, stretch your arms high above your head. Stretch so high, reach the sky. Bring them down again. Oh, my arms are feeling a little limber. Okay, let's do another one. We're going to stretch to the windows, stretch to the door, stretch to the ceiling, and bend to the floor. Okay, so we're going to go out and up, down. Are you ready? We're going to do this twice. Okay, stretch to the windows, stretch to the door, stretch to the ceiling, and bend to the floor. Okay, let's get our arms ready. We're going to do it one last time. Okay, stretch to the windows, stretch to the door, stretch to the ceiling, and bend to the floor. Good job. Yay. Today, we'll be singing about the color green. And I have my green hat and the word green is in the color green. In this song, we'll be spelling out the word green and pointing out that caterpillars are green and grasshoppers too, and we'll spell out the word green at the end again. So it's to the tune of row, row, row your boat. So let's start. G-R-E-E-N. G-R-E-E-N. I know how to spell green. Caterpillars are green and grasshoppers too. G-R-E-E-N. Good job. So let's do this one more time. Okay, so the tune of row, row, row your boat. So you could either do the rowing motions with it or you can sway. So let's start. G-R-E-E-N. G-R-E-E-N. I know how to spell green. Caterpillars are green and grasshoppers too. G-R-E-E-N. Good job. We're going to sing about five green peas in a pee pod press. They grew and they grew and they eventually popped. So this is a fun finger play, but let's count our cool peas on the board. I have one, two, three, four, five. We're going to sing about five green peas. Okay, so let's, and we're going to do this song twice. Okay, so let's put our hands out and let's close our hands into a fist. And we're going to go, okay, five green peas in a pee pod pressed. One grew, two grew and sowed it all the rest. They grew and they grew and they did not stop till one day that pee pod popped. Okay, so you get that one? Okay, so we're going to do five green peas. Then we're going to close our hand and then we're going to make them grow, grow, grow, grow until they pop. Okay, so let's do it again. Five green peas in a pee pod pressed. One grew, two grew and sowed it all the rest. They grew and they grew and they did not stop till one day that pee pod popped. Good job. We'll be doing the itsy bitsy spider and we're going to take our finger and our thumb. We're going to put it together and we're going to climb it on up and we're going to do this twice. Okay, so let's start. The itsy bitsy spider went up the water spout. Down came the rain and washed the spider out. Out came the sun and dried up all the rain and the itsy bitsy spider went up the spout again. We can't see it again. Let's get our finger and our thumb, bring them together and we're going to climb it on up. Okay, the itsy bitsy spider went up the water spout. Down came the rain and washed the spider out. Out came the sun and dried up all the rain and the itsy bitsy spider went up the spout again. For today's flannel rhyme, I'll be singing about five green and speckled frogs and they're sitting on a speckled log. So we're going to count down because we're going to jump into the pool. So let's count down. Let's put out our hand and we're going to count down. Okay, five, four, three, two, one. Let's do that again. Bring out your hand. Five, four, three, two, one. Good job. Okay, so let's get ready to sing. Let's put out our hand again and put out all of our fingers and we're going to count down as we watch our frogs jump into the pool. Okay. All right. Five green and speckled frogs sitting on a speckled log, eating the most delicious bugs. Yum, yum. One jumped into the pool where it was nice and cool. Now there are four green speckled frogs. So let's count it out. One, two, three, four. Four green and speckled frogs sitting on a speckled log, eating the most delicious bugs. Yum, yum. One jumped into the pool where it was nice and cool. Now there are three green speckled frogs. Let's count it out. One, two, three, three green and speckled frogs sitting on a speckled log, eating the most delicious bugs. Yum, yum. One jumped into the pool where it was nice and cool. Now there are two green speckled frogs. Glub, glub. Let's count it. One, two, two green and speckled frogs sitting on a speckled log, eating the most delicious bugs. Yum, yum. One jumped into the pool where it was nice and cool. Now there's just one green speckled frog. Glub, glub. Let's count it out. One, one green and speckled frogs sitting on a speckled log, eating the most delicious bugs. Yum, yum. He jumped into the pool where it was nice and cool. Now there are no green speckled frogs. Glub, glub. Good job. Blue versus yellow by Tom Sullivan. Blue versus yellow. Have you heard the news? Blue is the best color. It says yellow, not as good. Nice try, but everyone knows that yellow is the best color. Look up and see for yourself. Blue is the color of the whole sky. That's funny. All I see is a bright yellow sun. Well, blue is the only color that has its own music. Sure, but the instruments are yellow. And if you're blue, it means you're sad. So what? If you're yellow, it means you're a scaredy cat. Speaking of cats, the fastest animal in the world is yellow. But the biggest animal in the world is blue. And to top it off, all the best food is blue. Um, I'm not sure I'd even consider most of that food. Yellow food is much better. Let's see, let's take a look. See, there's cotton candy, slushies, popsicles, gummies. Yeah, most of the food is not as good as yellow. We have bananas, cheese, apples, popcorn, lemonade, and french fries. Let's see. Oh, they both sound great. Plus, there are yellow birds, bugs, bikes, and all sorts of things. Those can be blue, too. Well, the coolest cars are yellow. Don't forget about big blue trucks. Uh-oh, what does it look like they're doing? They're going to come together. They're going really fast and they go, boom! Whoa, what happened? We're, we're green. Look at all the cool stuff we can both be. Okay, truce. Blue and yellow are the best together. Stop. Um, excuse me. I think everyone can agree red is the best color of all time. Hands down to infinity, red. Blue versus yellow versus red. The end. Blue versus yellow by Tom Sullivan. Let's get our arms moving and we're going to start rowing. We're going to do row, row, row your boat. Okay, so let's start. Row, row, row your boat, gently down the stream. Marry, merrily, merrily, life is but a dream. Again, row, row, row your boat, gently down the stream. Merrily, merrily, merrily, merrily, life is but a dream. Good job. Now it's time for us to use our scarves and we're going to do two songs for our scarf songs, okay? So if you don't have a scarf, you can use maybe a face towel or burpee or something very light that you can wave in the air and to do peek-a-boo. Okay, so let's start. We're going to do Where's Baby. We're going to do this song twice, okay? Let's practice. One, two, three, peek-a-boo. Okay. Where is baby? Where is baby? There he is. There she is. We're so glad to see you. We're so glad to see you. Peek-a-boo. Peek-a-boo. Good job. Let's do it one more time. Let's do peek-a-boo. One, two, three. Peek-a-boo. Okay. Where is baby? Where is baby? There he is. There she is. So glad to see you. We're so glad to see you. Peek-a-boo. Peek-a-boo. Good job. Now we're going to do our popping criminals. So let's wave our scarves in the air and we're going to put it in the putt and we're going to make that pop. Okay, so we're going to sing this song twice. Okay. Popcorn kernels. Popcorn kernels in the putt. In the putt. Shake them, shake them, shake them, shake them, shake them, shake them, shake them to play pop. Wow to be pop! Let's do that again. Popcorn kernels. Popcorn kernels in the putt, in the putt. Shake them, Shake them, shake them. Shake them, shake them, shake them till they pop. Whoa, till they pop. Good job. We'll be doing a song about colors on my flannel. So we're gonna start off with a color red and it's to the tune of head, shoulders, knees and toes. And we'll be doing this song twice, okay? So we're gonna start. Red, yellow, green and blue, green and blue. Red, yellow, green and blue, green and blue. Orange, purple, brown and black. Red, yellow, green and blue, green and blue. Okay, let's do that again. Red, yellow, green and blue, green and blue. Red, yellow, green and blue, green and blue. Orange, purple, brown and black. Red, yellow, green and blue, green and blue. Okay, I hope you have some bubbles ready because we're gonna do two songs about bubbles and the first one will be counting one little, two little, three little bubbles. And the next song's a really cute song about a bubble landing in our hands. Okay, so let's get our bubbles out. All right. Let's blow some bubbles and have them floating all around us. Now let's do our little counting. We're gonna sing this song twice, okay? We're gonna start. One little, two little, three little bubbles. Four little, five little, six little bubbles.  And let's get some more bubbles. All right. We're gonna count again. Are you ready? One little, two little, three little bubbles. Four little, five little, six little bubbles.  That was really fun. So now we're gonna sing another song about bubbles and the bubbles that's gonna land in our hand. Okay, we're gonna sing this song twice. I'm gonna make some more bubbles for us. I'm giving you a chance to blow some bubbles too. Okay, so we're gonna do. Hello, bubbles, hello, bubbles. Come and land, come right in the middle, right in the middle of my hand, of my hand. Of my hand, goodbye, bubbles, goodbye, bubbles. Time to go, time to go. I can help with the blow, with the blow. That was really cute. Let's do it again as most of our bubbles. And then we're gonna sing our last song about bubbles. Okay, hello, bubbles, hello, bubbles. Come and buy bubbles, time to. It's time for us to say goodbye. We gotta say our goodbye song before we go and we're gonna do it very similar to how we did the hello song. But instead of saying hello, we're gonna say goodbye and this is goodbye in sign language. So we're just gonna replace hello with goodbye. Okay, so we're gonna sing this song twice and we'll do our sign language. Okay, you ready? Goodbye friends, goodbye friends. Goodbye friends, it's time to say goodbye. Let's do that one more time. Okay, let's get to goodbye. Friends, time to say goodbye. Okay, you ready? All right, goodbye friends. I'll see you next time. I hope you enjoyed today's story time and I look forward to seeing you guys again soon. But don't forget, there's a code at the end of the story time to add to your Beanstack summer reading program. Keep reading.


In this video, I'm going to talk about a penny stock that I think could move up quite fast We'll go into the information some of the research I've got for you I'm gonna say I'm not a financial advisor. I'm a business teacher in my daily life But I'm by no means an expert on the stock market I'll go right into the information just to respect your time if you could leave the video like at any point that'd be Fantastic, so let's get right into it So who we've got so it's called rework robotics, and who are they who are we what robotics? So they're an innovative medical device company that designs developed and commercializes Powered solutions which provide Provide gate trading and mobility for individual with lower limb disabilities so this is an interesting one so robotics company here and And there's this there's a need for this product, and we'll go into some of the information million Before I move on to some favor information that I've got on this stop I'm gonna say thank you to everyone for all the support on the channel. We've smashed 5,000 subscribers, which is absolutely Fantastic, and you know what it would be nice if we can reach 6,000 or 7,000 by the end of January that'd be fantastic We'll go with 6,000 by the end of January now So if you can smash that like button and subscribe to the channel that'd be fantastic Helps it get it up into that YouTube algorithm, which really helps out the channel So so thanks for all the support that everybody's been given to the channel. I really do appreciate for this So what are some of the products that they've got so first of all? They've got this restore product and what that is is a powerful lightweight soft XO suit Intended for use in stroke rehabilitation or persons with lower limb disabilities due to the effects of a stroke and This is one of the pictures of one of the products here Okay, and then the other one they've got another product and the good thing about this is that they have got some a Range of products right they aren't putting all the regs in one basket So to speak they've actually got a good range of products and you got to ask yourself Is there a need for this type of products? And I think that there is and there is competition out there. This isn't an area where there's no competition So so there is that but we'll go into some of the good things about this particular company Then you've got the rework which is the battery powered system featuring a light wearable Exo skeleton with murders at the hip and knee joint the rewokker controls movement using subtle changes in his hair Sensor of gravity a forward tilt of the upper body is sensed by the system which initiates The first step repeated body shifting generates a sequence of steps Which mimics a functional natural gear to the leg so let's have a look at this Here so how does it work? And what is the differentiators here because there is competition out there in this area? You may not see might there is but that there is in this particular area So restore how it works and one of the key differentiators So one of the key Aspects that makes this one different is that it's light soft components and it's powered by plantar Flexion facility in natural glit pattern provides therapists real-time analytics enhanced session control for optimized results so interesting they are Integrating a Application that can be used in line in line with this particular Product right and what that means is that they can gather some really valuable data on what? Adjustments or what they need to do that and add to that personalization approach to it. So every Customer of this product is personalized to them based upon their data from using the products, right? And I think that's really cool. It's multiple modes of functions Rap rapid donning adjustment for efficient therapy sessions and a session data capture with reporting and commit Comparison across sessions. So there's a very interesting product again. It's in the robotics industry The robotic robotics industries essentially a growing market as well I can best talk a lot about robotics and this is a growing industry as well, okay? Not said it acts currently invested in this one, but you never know, right? It does seem like quite promising as a company So some of the investor highlights set so the market leader it leading global exercell skeleton developer With breakthrough device platforms and various vectors So I thought it's quite interesting that you know, they are one of the leaders in this area one of them sales team Expanded with experience capital equipment again. This is really important because what they've got here They've got and I like to find products like this They've got the research and development Largely done that they are going to continue obviously to innovate and do more research and development But they've got a core product. They've got a products that is Requires a need into a specific target market. And now what is the next step? The next step is to commercialize that product and start to bring in the revenue and sales And I think that this is where this particular product is starting to get towards And we've seen many other products in the past particularly penny stocks where I've said look they've doing the research and development phase They've now got that sorted and they're now trying to commercialize it more and more and really focus in the reference on that strategy more and more now And that's what I like to see in a penny stock because it's projected revenue growth, right revenue that could happen in the future Here and that's not always a bad thing is considered a bad thing if if there's not a huge amount of revenue for a company But you think you've got to bear in mind the nuances of the company and what sector it's in This particular product needs a lot of research and development innovation and you know that sort of stuff in terms of the development of the product So of course to begin with they need to develop the product. They've done that now They're going to look at commercializing it and starting to sell it more, right? You got and German insurance German insurance Contracts so re walking as a standard of care for paralyzed individuals So they're actually building more contracts, which essentially leads to more revenue via study nearing completion Presentation in 2021 that could be a huge catalyst for this company US CMS code received effective October 1 2020 Okay, and you can see some of the points here as well. I won't go out go through everything But you can see that they're making progress. They're progressing towards More and more to that commercialization as well, which is really important for me for that product And here you've also got recently. They've this is a recent article December rework robotics has repaid outstanding balance on the credit on the kreos credit line here So that was that me that that means it's good for the company in terms of its finances The fact that they're repaying any outstanding balances It's not it's not necessarily a huge huge catalyst there, but this might be so the row is here See this is an article on the NASDAQ NASDAQ The robot revolution will spark a 15x rally in the this micro cap tech stock Okay, so they say in so it's all changing right now So what was a rework has actually collected tons of pre-injury and post exoskeleton data from its machines in use Over the past six years and that's really important You'll notice a lot of companies that do well are ones that are one that have a lot of data and a lot of information To back up their input their claim their claims, right now all of this data is starting to paint a verifiable verifiable Meaning trust where be verified Process right and indeed rewalks expensive machines expensive machines result in the lifetime medical cost savings So what that means is that these machines? Yes, they're initially quite expensive But overall in terms of a lifetime this can actually save people money particularly working with insurance companies The first domino fallen in Germany was where rewalkers won five insurance Contracts over the past few quarters. Okay, so they're expanding their contracts here And also interesting here the US is following closely behind Which is issued a HCP CS curd and a standardized curd Attached to rewalks walks treatment, which helps facilitate the process of health insurance claims by Medicare Okay, so very very interesting there. There's there's contracts coming up. This seems to be doing more deals There's more commercialization for this product Which is good to see and I think that this is a medium-term hold to see the benefits and the fruits of these contracts Right in terms of revenue So some of the trading 212 data suggests that it's got 94 employees and in 2019 at a revenue of 4.87 Now the concern that I have is how much can they scale this up, right? It is a kind of specialist company. It's a specialist brand So I'm worried about the scalability Can they scale this up rapidly as they start to commercialize this more and more, right? And the other one is the revenue decrease which I'll go into in a moment. However, I think that actually in The medium to long term, I think the revenue is going to go up I think this is just a short-term decrease But because of the recent contracts and the more contracts that they're in the works of getting right I think that's going to impact the revenue positively okay, so you can see here some of the some the Accounting data interesting thought is the is actual operating expenses going down a little bit, right? But yeah, the revenue seems to be going down a little bit which to me is not great That's the only concern but again I think that this is getting more and more to the commercialization aspect of it because they've got the product now That's what they're trying to get towards now Now what are some of the benefits of this stop? So they've got a good product portfolio So they've got a range of different products that are used and have a need And ultimately as I say that they've creating products that have a need that have a use that can be useful, right? Some of the best businesses create products that are useful Also, they're building contracts as well. So they've got a lot of contracts in the works, which is really good There's a good total addressable market for the product in terms of potential sales And there's research and development so that they can continue to build the products But also they've already put a lot of money in research and development and developed what they've got so far and now It's about seeing the fruits of the labor so to speak of that research and development by commercializing the product Okay, you can see here the potential market Okay here. So you'll notice there's a stuck stroke patient prevalence in the US is seven million Here so that and it says here 500k patients are discharged home with impaired Get following stroke annually So there is a lot of people here that could be using this particular product So there's a lot of a total of addressable market here, which is really good to see Now the price at the moment is at $1.83 He's actually having a bit of a dip today Which may be a bit of a buying opportunity at the start on the 8th of January It was turning around $1.40 here had a bit of a run-up and then it's starting to drop a little bit I think this stock can hit $2.53 very easily in the medium term Okay So I would say is it as it dips try to build out your position in this What do we always say? Buy incrementally so you can average in your position don't buy at your full position straight away Buy a little bit and a bit more so you can average in your price now I do think again this has got a lot of potential and I keep saying it because it's important, right? It's the commercialization if they can build up these contracts It's a massive catalyst if they can get some really serious big contracts That's a massive catalyst all it takes is that and this stock could have a massive impact, right? So bear that in mind here. It may be a patient stock You may have to be patient with it, but I do think it's got a lot of potential Okay So thanks for watching the video Don't forget to subscribe to the channel if you're new and like the video if you found this anywhere useful as it helps Get it up into the YouTube algorithm. So thanks for the support and Thank you for watching the video. I'll see everybody later


What about the tape? We need one more key. So it's working. It's working, right? All right. And now, let's try a little thing. Dude, this is so cool. Explore. Play around a little bit. See how you can control either the bongos or the piano. I couldn't. I didn't give it all. I put it on my shirt. And you have to attach a two-year little circuit board that looks like a controller, right? Yep. Looks like a little game controller. We're all public school teachers, but we wanted to offer something to the kids and families beyond the school hours and beyond the confines of school curriculum, school education. And it's been a great program to help kids in science and help families with the kids in science, too. All of these people have come together in support of improving student learning. But this idea that family also counts, and so it's students and educators and their families all on this learning journey. We're collaborating with school districts and community centers and really just enjoying the opportunities to bring really enriching STEM opportunities to lots of different kids. I would say we've serviced over 1,000 kids at least in the past year and a half. Whether it's preschoolers or high schoolers or families, there's something for everybody. It's like being in a candy store of learning. They get to learn from experience. They have a lot of thoughts, but a lot of times they can't do things hands-on in a classroom environment. We let them go. We let them have the imagination where they can build and make mistakes because making mistakes is part of science. Currently, right now, we're discussing some new renovated space here in Wallingford, which will give us lots of different programming opportunities and possibilities. We're across various towns in Connecticut, and I just think the more kids are exposed to it, the better off they would be. Although it takes a lot of work and dedication, we find it very rewarding. We are blown away by what we see.


Hello friends, I am Sanjay Gupta. In this video, I am going to demonstrate you how you can find out maximum and minimum from an array using pointers. Before starting, you can note my information, you can follow or subscribe my YouTube channel through the url youtube.com slash tanjaygupta underscore tech school. You can download my programming app TechMS which is available on Google Play. Now, I am going to implement a code with the help of C programming, which will find out maximum and minimum element available in array with help of pointers. So I am including a header file that is stdiv.h, then I am defining main function. Inside main, I am declaring an array pointer p, then a variable max, which I am initializing with 3, 2, 7, 6, 8 and the variable min, which I am initializing with 3, 2, 7, 6, 7 and then I. So after declaring these variables and pointers, I am using printf statement which will display the message enter 10 elements on console. To receive all the elements from user, I am implementing a follow which will repeat 10 times and it will read all 10 elements and those elements will be stored inside array A. Now I am assigning address of array into p pointer. So you have to remember that name of array provides base address of array. So here if I if I am writing p equals to a, it means base or beginning address of array is assigned into p pointer. So now I can access all the locations of array through this pointer. To identify maximum and minimum, I am again implementing a for loop. Now inside this for loop, I am going to access the locations of array through pointer so that I can find out maximum and minimum value. So for that purpose, I am using if condition that is asterisk p is greater than max. So here asterisk p is representing element of array. So right now it is representing first location value. So if first location value is greater than max, then I have to assign that value into max variable. So for that purpose, I am writing max equals to asterisk p. Now I have to compare asterisk p with minimum. So if asterisk p is less than min, then min should be containing the value available at asterisk p location. So this way I have compared location of array with max and min variables. If first condition is true, then asterisk p will be assigned into max. If second condition is true, then asterisk p will be assigned into minimum. After that, after that, I have to move to another locations of array. So for that purpose, I have incremented p pointer by one. So by using p++, I can access each location of array. So this loop will be repeating 10 times. So 10 different locations will be processed through pointer. So here in this loop, I am not using array. I am using its pointer. Now after completion of this loop, I can print the values of max and min variable on console. So maximum equals to %d and minimum equals to %d, then max, min. So with this way, the results will be displayed on console. Now I am going to execute this code. I am entering 10 different numbers. So you can see the output maximum equals to 10 and minimum equals to one. So this way you can see I have processed all the locations of array with the help of pointer and I am able to find out the maximum and minimum values which are available inside inside array with the help of pointer. I hope you have understood the concept which I have demonstrated in this video. If you want to watch more programming related videos, you can follow or subscribe my YouTube channel through the URL youtube.com slash sanjay gupta underscore tech school. You can download my programming app Tech immense which is available on Google Play. Thank you for watching this video.


All right, thanks very much. It's a real privilege and pleasure to be able to be here. I don't have any charts, I just got some notes for myself that I'm gonna use. Just to start off, like, you know, gee, 50 years, it's getting to be a while. And even if you think about, you know, 15 years or so between the first and the last launch and then 15 years that the last one worked, that meant that there's 30 years that there's actual real operations data acquisition going on, which is an enormous time and sort of what it meant to our collective discipline. It's important, I think, that we recognize that we've got both the individual spacecraft and the series aspect. Because this is one of the things where, you know, the fact that there are multiple ones succeeding themselves is really big and then, really, the series didn't stop with numbers. The series, or at least for most of the things, for a lot of things, the series continued in the future. So if I try to think about, all right, so what do they really do for us? So I was trying to break this up into a couple of different categories. So the first is I'll say, well, everybody got the planned results. Now there are things that people set out to do for specific reasons and they worked. We got them. We had a path to the future, both for a little bit for research and for operations. So it becomes almost like a biblical chronology that you can think back for a lot of instruments streams, you know, limbs begat clays, which begat hurdles, sams begat isams, living to hurdles, to herbs, to series, to RBI, toms, to, well, toms and toms and nomi and noms. And there's a whole bunch of these things. There's so many of the data sets that we've all come to know and love really got their start with the Nimbus series. And when people are looking at long-term earth system evolution, in many cases, and creating, working with the multi-instrument, multi-platform data sets, that's the way that we have to address earth system evolution because we rarely are in the position of having anyone data set long enough to say, well, we'll just look at evolution with one. We've got to put them together. Well, for a lot of those things, Nimbus is where it all started. You know, you look at a lot of those, there's kind of the quintessential trans diagrams that you'll see. The left side of that is Nimbus. And there's some that transition to operations, so that was always good as well because the transitioning things from research into operations continues to be a challenge for the nation. What are some other things that did? Well, I was calling it unplanned results. Maybe it's not unplanned, but unanticipated results. Things where the smart folks, many of them actually work here, looked inside the data and found things in the data that maybe not weren't supposed to be there, but weren't supposed to be products, but people were really clever and figured out how to do that. And I think Tom's, that you'll probably hear more about from Paul, it was a really good example. I'll try to say a little bit more about that. Then you get some combined products where people would say, well, if I take this from the Nimbus sensor and this from something else, I can do something else. That's the real definition of synergy. But two of the things that Nimbus really did for us. One is that we talk about the kind of the discipline of earth system science, but as a discipline, it's really pretty new. Before Nimbus, I think you'd have meteorology and oceanography and a bunch of other things, but people did their own thing. But I think it was really when Nimbus came along and you successfully worked your way up to Nimbus seven, which was probably the one that really came furthest along of that. That's what let people really look at different parts of the earth system at the same time and begin to do the interdisciplinary work and look at how the different components of the earth system relate to each other. And also to begin to sort of integrate cause and effect so that you have enough comprehensiveness of measurement that you could look at different parameters and how they would vary in time and space and test them against models and see whether the pictures that one had held together in the face of data that essentially were now comprehensive enough that you couldn't get the right answer for the wrong reason anymore. You know, if you were getting it right, it had to be pretty much because it was right. And those are the kinds of things that Nimbus let us do. The other thing is it let us do a lot of that in 3D. You know, I think it's hard for many of us to think back before that time where for a lot of things, especially like, say, for 3D atmospheric constituents, you know, we'd have some ballooning profiles and some aircraft trajectories, but we really didn't have 3D climatologies let alone over a period of long enough that you could look at, you know, what happens from one season to the next? What happens from one year to the next? And those are some of the things that we got. So I don't wanna say a lot about the details of many of the things because the speakers who are here after me are way more knowledgeable about those particular applications. So, you know, I'll just maybe say a little bit about those instruments that, you know, perhaps won't be represented by some of the people who are here. And, you know, I mentioned limbs. Seven months of data, but going from, I think it went 84 north to 64 south, weather, ozone, NO2, nitric acid with three-dimensional distributions. So there's a whole bunch of things that had temperature as well. So things that that let us do and when you combine that with the SBUV profiles and, you know, I really said we had this three-dimensional distribution of ozone with a good spatial resolution working its way down into the lowest stratosphere and then with the NO2 and nitric acid being able to look at partitioning and be able to look at chemistry and say a little bit more about some of the things that that meant. You had SAMs with the methane and N2O profiles so that one was be able to get a sense of these radiatively and chemically active source gases and the vertical rates of decay, which would provide some information about further chemistry and the balance between chemistry and dynamics in ways that were very difficult to have addressed before without that kind of information. It had SAM2 with the poly stratospheric cloud measurements and say after the ozone hole was discovered and people were trying to figure out what was causing that, having the distributions of poly stratospheric clouds from SAM2 became really important to providing information about the climatology of the particles that were the surfaces for the heterogeneous chemistry. And one of those, I guess, you know, I'm not gonna say much about Toms and SBUV, I figure Paul will cover that. Those were kind of the planned products, but then you also had the, you know, unanticipated ones like the, say, Toms aerosols and Toms UV reflectivity. The, you know, I mean, maybe they were planned all along, but, you know, they were people thought of that or it started out like, you know, sometimes one person's noise is another person's signal and, you know, you start out trying, we gotta get rid of this stuff and then, no, wait, there's actually geophysical information in there and people figured it out. And when I asked around the headquarters to some of my folks as well as a few people in the field, whether some of the things that I should say, one of my guys, David Constadine, did a web of science run and said, okay, give me number seven in the top 10 papers that relate to atmospheric science and meteorology. And I think the largest one by a factor of two was, I think, one of the first Toms absorbing aerosol climatology papers. You know, something that wasn't supposed to be there. But people figured it out and went and did it and there's a whole bunch of stuff that, you know, good stuff that came out of that because it was a unique product. You had the Surface UV and say, you know, talked about EarthSystemScience and 3D. Well, that also began to get us into applications. There's probably other ways that one could do, but, you know, once you started getting Surface UV, people could work down into Surface UV forecasts and actually begin to think about, you know, how people can use that information in ways that weren't anticipated. So, that's, oh, and then combined products. The Toms sage residuals that people used to infer tropospheric ozone. And that became, you know, people found this bulge out over the tropical Atlantic and then began to investigate that. So, there's a whole bunch of things that came out in different ways. I, you know, I'm personally grateful to the Nimbus series, you know, for my career. I arrived at Goddard in December of 1983 to be the chemist in a 3D stratospheric modeling group or as I like to say, I was the right-hand side with all the dynamical terms on the left-hand side. So, you know, I used to say, yeah, call me P minus L. But, you know, I would say, it was, you know, to initialize and evaluate the chemistry in a 3D model. So, what did I do? I, you know, got ozone, NO2, nitric acid, weather vapor from limbs, got the N2O and methane from SAMs, got the ozone from, you know, more ozone from SBUV. I don't know how I would have started that work if it weren't for Nimbus 7. And for me, the timing was great because I think six months after I came to Goddard was when this really fat issue of JGR was published that had all the validation papers for Nimbus 7. And, you know, that was one of the most used journals. And again, you know, it's many other people here and the predecessors were the ones who really made that work. And then when I came to Hécourt is to manage the atmospheric chemistry modeling and analysis program and I started getting proposals from people. Well, you know, I think about whether some of the earliest proposals that I remember getting. And this is 1990. So this is, you know, it was still flying but it was one in a decade after launch. Well, one was reprocess the limbs data. Lims was seven months of data, or six and a half or so. But yet, you know, one in a decade after the data ended, it was like, hey, we can reprocess this.  Also, the fact that the, and this is something that's even hard for me to grasp is they had to do a lot of this stuff with really kind of ancient computing. So it was hard to process stuff. So one of the things that the limbs folks said were, you know, we only processed, only used one fifth of the data. We didn't have the computing cycles to use all the data. So now we can actually use all the data. So they went and did that. They reprocessed the limbs data. I remember a proposal to go back and use, look at Nimbus 4 BUV data because I think, you know, the idea is that was close to a decade before Nimbus 7. And if they could go back and clean up the Nimbus 4 data and make it as consistent as possible with the Nimbus 7 data, then you could start comparing, you know, trying to compare things from the early 70s to the late 70s. I remember a proposal that came in to look at the SCR data, I think also from Nimbus 4. And the idea there was, it was infrared. I mean, I'd never heard of SCR at the time. But it had the, sorry, remember, it had the Supreme Grand did it and somebody said, let's go look over Antarctica because if maybe we can pull the Antarctic ozone out from the mid 70s and get some information as to whether or not there was an ozone hole, you know, before the Nimbus 7 data started. That one didn't work out. But, you know, I think it showed the community really, you know, creatively looking to see what they could get out of the historical data. And now when I say it didn't work out, I should be careful. They didn't get the ozone data, but I think they learned more about the infrared radiative transfer over Antarctica than one ever knew before. And I think that became exceedingly useful as one looked ahead. So that one may not have worked, worked quite the way it was anticipated, but I feel like, you know, it was a good investment. And then there were the Tom's additional products like the aerosols and surface UV product.  Frankly, I'm sure they would have done it anyway, you know, even if I hadn't because there would have been the bootleg stuff, but I'm sure it made it much easier for the people to actually be able to say yes, we got that funded. Sometimes I feel like I'm involved in the drug trade because say, you know, I was a Nimbus user and a Nimbus enabler. And, but the, in fact, you know, it's still there now as I put the word out to some people and said, you know, whether some of the things that I could say and one of the things that I got, you know, because it's a wonderfully responsive community as well as creative, was a preprint, or it may actually be just a manuscript copy of a paper that's either out or will soon be out in JGR where people went back and assimilated limbs in SBUV into the, through GMO, into the GS5 model and they actually looked at they were able to improve the quality of the assimilation with the data. So now, you know, what, 25 years after the data are, were taken for limbs, people are still working with it and finding that improves the quality of the science that they can do today. So that's, that's I think a pretty phenomenal kind of thing in the Testament to the work of everybody associated with it. So I guess I will, I will stop. I would personally like to thank those who made it happen. You know, these are wonderful legacy data sets as well as pointing the pathway to the future in so many ways. I'd like to thank those who continue to exploit it and the people who work with the subsequent data sets because, you know, answering these questions that we have about Earth system evolution, you know, we lie that we get the most out of all the data sets. So for those people who are doing that, thank you. And especially for, you know, really for all those who helped in doing this so that the Earth system science that we know is an integrated discipline can exist today. I don't know how that would have happened without Nimbus. So I'll stop there. Thank you.