Hello, I'm Chris Caldwell, Rare Books and Theatre Librarian in the Betsy B. Creekmore Special Collections and University Archives. Our current exhibition, Page to Stage, The Art of Theatre, celebrates our rich holdings of rare books and archival material related to theatre history and production. This exhibit contains material spanning the past three centuries and also draws heavily from UT's own Clarence Brown Theatre history. Our Special Collections holds over 1,200 books related to theatre and performance. Here is a small selection of books celebrating stage craft, makeup artistry, and other aspects of the art. Also on display is our copy of William Shakespeare's Fourth Folio from 1685. UT's award-winning theatre program trains students for careers in all facets of theatrical performance and design. Here are set design models courtesy of two outstanding graduate students. Detroit 67, set design by Catherine Steppenich. The Real Inspector Hound, set design by Cary Ferrelli. This case was curated by Brooke Gross, graduate student assistant for Rare Books, and contains marvelous design renderings from the Robert M. Cotherin Collection. And here are designs for Rip Van Winkle, Voyage of the Mary C., Into the Woods, Twelfth Night, and Christmas Carol. Costume renderings by renowned UT designers Bill Black and Marianne Custer are also on display. These are Bill Black's designs for the 2018 production of Voltaire's Candid, a collaboration between Clarence Brown Theatre and the Knoxville Symphony Orchestra. Special Collections is the proud home of the Marianne Custer Theatre Collection, covering decades of her design work. These renderings are for Royal Hunt of the Sun, a 1994 collaboration between the Clarence Brown Theatre and the world-famous puppetry troupe Diablo Mundo from Argentina. This exhibit invites visitors to consider the amount of labor, time, and talent that have gone into stage productions throughout history. The centerpiece of Page to Stage is courtesy of the Clarence Brown Theatre Costume Shop. From the 2017 production of The Busy Body, a restoration comedy written in 1709, here are remarkably detailed costumes designed and constructed by our university theatre's talented artisans. When a show's run is over, all that remains might be the physical or digital scrapbook, but the lasting cultural effects run deep. This exhibit is just a small sampling of historic theatre materials, primarily celebrating the incredible creativity of talents close to home. Thank you for watching, and we hope to see you in person again soon.


What is the power of thinking big? How does your thought process affect your life? There is power in your thoughts. This is one thing I have recently discovered from listening to David J. Schwartz's book titled The Magic of Thinking Big. From this book, I have learned again that how you think determines what you become. In fact, the summary of your life is a result of how you have been thinking. This could never be truer. The Bible even betrays this truth by saying, be careful how you think. Your life is shaped by your thoughts. Therefore, successful people aren't extraordinary people. They are ordinary people who have learned to think differently. I began listening to David J. Schwartz's book recently, and here are 10 lessons I pulled from his book. 1. Believe it can be done. When you believe something can be done, really believe. Your mind will find the ways to do it. Believing a solution paves the way to solution. David Schwartz told the story of a lady who wanted to sell trailer homes. She was poor, and people in her community told her it wasn't possible to successfully sell trailer homes. They also reminded her she didn't have the money, and what it takes to achieve that goal. But all indications told the lady she could do it. She had studied her competitors, and she knew she could sell more homes than them. She got into the business, and that same year, she made over a million dollars selling homes. She set a goal for selling more the following year, and she reached it. Jesus Christ said, If you believe, all things are possible to the ones who believe. To succeed, you must believe very strongly and convincingly that you can succeed, and you will. 2. The mind is what the mind is fed.  The premise of David's book is the power of the mind in achieving success. Success and failure are not first hinged on the principles, but first on the mindset of people. David told the story of a man who joined the army, but lost his arm during a shootout. He returned from the military, and started to play golf professionally. He played so well David asked how it came to be. The man said, Well, I realized long ago that a one-armed man with the right attitude is better than a two-armed man with the wrong attitude. You can never rise above the state of your mind, so your most significant investment isn't looking for business to build first. Your greatest lifelong investment should be investing in your mind. Read books that inspire you to develop yourself. Listen to audiobooks. Watch materials that help you grow. Invest in your mind. 3. Action Cares Fear During World War II, David said new sailors had to know how to swim or were trained to swim. To train them, they would stand on a plank on the edge of the ship, about 12 feet high, and be supposed to dive into the sea about 8 feet deep. Most of those new sailors were often afraid, but some would be pushed down, and they would start to swim. Action Cares Fears. David argues that it is wrong to believe fear doesn't exist, or to live in denial. Fear does exist, but the antidote to fear is action. When you are most afraid, that is a time to act, because the fear you do not control through action will hold you back from achieving the life of your dream. 4. Look at things not as they are, but as they can be. Visualization adds value to everything. A big thinker always visualizes what can be done in the future. He isn't stuck with the present. David told another story of a man who owned a small tie-and-dye business, but was not making much. One day, the man traveled to another city for a project interview, while sitting in the lobby. The man wondered to himself, here I am, lobbying for a project with a ludicrous amount, and somehow, I am more than this. Then the man took a pen and wrote down the names of his friends who were more successful than him. He compared himself with them, and noticed they weren't as smart as him. They weren't as intelligent as him. Still, they had more initiative, and they believed in themselves. That was all he needed. Initiative and believe in himself. The next minute, he walked into the interview room for the job, instead of asking for the low price he had initially planned, with his newfound confidence. He asked for a very high rate and got the project for that price. What you see is what you become. See big things, and you will achieve big things. Don't sell yourself short. Don't underestimate yourself, because you don't have all you need yet. You are more than you think. And where you are now is not where you will always be, but you must choose to see beyond where you are, and start to actively place a demand and life to give it to you. 5. Hope is a start, but hope needs action to win victories. David told the story of a man who complained that he will be fired in his office, because he wasn't doing well. David asked him what he planned to do about it. The man said he hoped something would change. Well, hope is good, but only hope followed by action will change things. David advised the man to make plans on what to change and how to make things better. The man obeyed, things got better. He retained his job and became richer. Things only get better when you move from hoping to actually doing. Nothing changes until we act. What can you do today to make things better tomorrow, or in that dire situation? Identify those things and do them. Nothing changes until you act. 6. The thinking that guides your intelligence.  At the beginning of the book, David tells the story of a man who earns five times more than his colleagues in the office, not because he was more intelligent, because his record showed he wasn't, not because he knew more than others, because he didn't, not because he was smarter, or worked harder than the others. In fact, he worked less, but because he always thought big and saw the big picture, you don't have to have all the intelligence in the world to be successful. You don't even need that. As David said, just having enough sense to steep through something until it is done is better than idle intelligence. You have seen people who know more and earn less, and people who know less and make more. What's the difference? Big thinking. Seeing themselves higher than their level and going after it. How you think is what matters most, not your intelligence. 7. Where there is a will, there is a way. A man sat on the plane with David, who had just had a plastic valve placed on his heart during a surgery. The thing kept ticking, and David could hear. Yet, the man joyously told David his plan to return to school in Minnesota, to become a lawyer, no matter what we're going through and have gone through. We don't become what we need to be, because we don't want to. When we want to and are determined to, nothing can stop us.  8. Most of us make two fundamental errors concerning intelligence. 1. We underestimate our own brain power. 2. We overestimate the other fellow's brain power. We think others are better than us, and we believe we are not better than others. But David wrote that, if we start to believe that, as humans, we are all the same, things will get better. A man who used to be very shy and afraid of people, joined the army, and was to attend to people. He saw that all the people who came to him had similarities, even though they were different. That changed his perspective about people. We may be different, but we're all the same. We experience the same challenges, albeit on the different conditions. Nobody is better than you, and you're better than nobody. Always remember that, and you'll put people in the right perspective. 9. Those who believe they can move mountains do. Those who think they can't, cannot. You are what you believe. You will never rise above your belief. I'm learning now to think that, what you earn is even a result of what you believe. Why do you think when a man who used to make $1 million is fired at the place of work, the next time he gets a job, it is for a higher salary, or at least the same salary? Because his mind has been tuned to believe he can earn that much. You are what you think. You are what you believe. 10. Think you are weak. Think you lack what it takes. Think you will lose.  Think this way, and you're doomed to mediocrity. Finally, I learned a counterintuitive lesson from this book. To think confidently, act confidently. You'll have the result of the emotions you act upon, especially in your thoughts. For example, you can never think of defeating thoughts while smiling genuinely. No, a genuine big smile will lead you to think good thoughts. So act whatever you want to think, and you will soon start to believe it, because how you think is what your life will become. If you are what you believe, then this matter of thinking big is very crucial to your success.  Think about success and not failure. Think possibility and not impossibility. Think victory and not defeat. Think big. Never think small. You have all it takes to think big without having to pay for it. If your life is shaped by your thoughts, you must check how you're thinking by checking your life result. The result of your life is a reflection of how you have been thinking.  If this video inspired you, subscribe to our channel. We love you.


D concepts, welcome to the course on supply chain digitisation. It is jointly being taught by Professor Piña Ka-Biamia, Professor Smita Narayana and Professor Debba-Bratadas his from I.M. Mumbai. In today's lecture I am going to focus on module 3 that is analytics in supply chain management module. So, in this module there are a lot of topics, some of the topics are already being covered. covered. So, what I will do, I will just summarize the topics which we have covered till now and then we will go ahead. So, first we discussed about what is analytics, then we discussed about big data and its characteristics, specifically 6 v is of big data, volume, variety, velocity, variability, value and veracity. Then we also discussed various types of analytics, descriptive, diagnostic, predictive and descriptive and its applications. Then we have seen various examples of analytics from supply chain management domain, then we discussed in detail applications of AI and ML in forecasting and demand analytics. Then we also discussed about supply chain network optimization, how analytics can be used for optimizing the supply chain network. So, in today's session, we are going to focus on intelligent decision tool development in supply chain, like what are the various AI ML based models can be developed which will help decision maker to take better decisions in managing supply chain. So, the idea of today's talk is that we will take case studies and then see what are the techniques can be applied to solve that case study. So, since the topic is intelligent decision tool development, so first we will describe the case in detail and then we will see what are the techniques available to solve this model and then we will discuss one such technique in detail and we will also see how that technique can be developed from the scratch and how that technique will help us in taking better decisions as per supply chain management problem is concerned. So, let us take one such case study. The senior management of a pharmaceutical company wants to expand its business to a new region. So, they have been already operating in a country, but they want to expand to a new region, they want to sell their products to that region. So, they have collected data specifically the location that is latitude and longitude of their 811 prospective customers from that new region and these are the data. So, I have serial number 1 from 12811 and for each customer location we have latitude and longitude. For example, customer location 1 latitude is 27.72290 and longitude is 80.94479. Similarly, for customer location number 811 latitude is 27.51351 and longitude is 80.43675. So, they have collected this data. So, this data will keep them the exact location of each of these customers. Now, the management would like to find out the potential location of the distribution centers because I have to satisfy the customers then demand. So, where should I have my distribution centers? What could be the possible location of distribution centers so that my customer service is improved and my cost is also reduced. So, the supply chain manager is wondering whether she can use any data analytics technique to decide this whole process in a systematic way. That means, where should she locate the distribution centers? How many distribution centers should she open so that customers are served properly their service level is improved. At the same time the whole process is done at a minimum cost. Now, she is thinking whether she can apply any data analytics technique or not. So, these are the latitude and longitude of each 811 customers. So, we have plotted it. So, in x axis we have latitude, in y axis we have longitude. So, all 811 customers are plotted their actual location are plotted. So, the question is how do you find out the potential locations of the distribution center? Where should they locate? If they want to have one DC should they locate it here at the center, if they want to have three distribution center, where should they locate? If they want to have four distribution center, five distribution center. So, where should they locate their distribution centers so that customer service is maximized and cost is minimized. So, let us take an example that they are thinking about opening only one DC. Then would they keep the DC at the center location or somewhere here or somewhere here or somewhere here. So, where should they locate that distribution center? What would be the possible location? And once they decide to locate in a particular location let us see here, then all of these customers have to be served from this DC. So, that is what they have to do. So, that means all 811 customers need to be served from one DC. So, therefore, my customer service time will increase responsiveness will reduce, but the cost of operating DC will be less, because I will be only operating one DC and cost of opening that DC also will be less. Now, let us take an example that they decide to open two DC. So, the first question is where should they locate that DC1, where should they locate DC2? That is the first decision they have to take. So, let us assume that they got to know that DC1 will be located here and DC2 would be located over here. Now, the next question is all of these orange customers will be served by this DC and all of these blue customers will be served by this DC. Now, the question is how do you decide that these orange customers will be served by DC1 and these blue customers will be served by DC2? Let us take an example of these particular customers. So, I have one blue customer, I have one orange customers and both of these customers are located very close to each other. So, now how do you decide that these orange customers will be served by DC1 and this blue customers will be served by DC2? Why can't the vice versa happen? Why can't blue customers be served by DC1? Why can't the orange customer be served by DC2? So, how do you decide, how do you segment your customers? So, that some of the customers are served by DC1, some of the customers are served by DC2. How do you do this mapping? Is there any systematic way? So, that is what the manager is wondering. So, let us think that she wants to define three DCs to be opened. So, the first question is where should she open the DC1? Where should she open the DC3? Where should she open the DC2? This is the first decision. So, let us assume that she decides to open DC1 here, DC3 here, DC2 over here. Now, again the same question, out of this 811 customers how do I segment my customers? Which customers will be served by which DC? How do I do this mapping? So, here if you see the orange customers are being served by DC1, the green customers are being served by DC3 and the vice versa and the blue customers are being served by DC2. Now, again the question arises if I concentrate over here. So, there are few customers. One is orange customer, two green customer and one blue customers. And if I see DC1, DC2, DC3 visually like are very close from these three customer location. But if you see mapping over here, the orange customers are being served by DC1, the green customers are being served by DC3 and blue customers are being served by DC2. But visually if you see it seems that all three are located very close by. So, how do you segment them? How do you decide that this orange customer customers are being served by DC1? This green customers should be served by DC3, this blue customers should be served by DC2. So, that is the question we are trying to answer. How do I segment my customers? So, that from DC to customers distribution happens smoothly. Now, if she decides to have four DC, again the same question where should she have DC1, where should she locate DC2, where should she locate DC3, where should she locate DC4. That is the first question. Once that is answered, second question is how do you map your customer to various distribution center? So, now if I tell you the answer these orange customers are being served by DC1, these green customers are being served by DC3, red customers are being served by DC4 and the blue customers are being served by DC2. So, how do you segment that and say that these should be served by this? So, these two are main decision where should I locate and which customers to be mapped to which distribution centers. Now, if one more thing if you observe, if we keep on increasing the number of DC, then what is happening? Did you observe? So, I will just take you back. If I have only one distribution center, all 811 customers are being served by one DC. If I have two distribution center, some of them like orange ones are being served by DC1 and the blue ones are being served by DC2. If I have three, orange ones are being served by DC1, green ones are being served by DC3, blue ones are being served by DC2. If I have four, orange ones are being served by DC1, green ones are being served by dc3, blue one serving served by dc2 and red one serving served by dc4 and if you notice very carefully you will see that under each dc the number of customers being served are decreasing as you increase our number of distribution center so that means if we increase the number of distribution center my responsiveness will be very fast so I will be able to respond to the customers quickly because this distribution center this particular distribution center is serving only this many customers dc3 are only serving this many customers dc4 are dc4 are serving only this many customers and dc2 are serving only this many customers so per dc number of customers have reduced so therefore I would expect that responsiveness will be much better and customers will be served quickly so if you see the distribution with five distribution center dc1 is serving only this many customers dc2 is serving only this many customers dc3 are serving only this green customers dc4 are serving only this red customers dc5 is serving only this purple customers now if you see six further the number of customers are being served by each dc have been reducing continuously so if I start with one distribution center and keep on increasing the distribution center if I see that results with six distribution centers you can see number of customers are being served from one dc has reduced so therefore I would expect that responsiveness will be good and all the customers will be served from particular dc at quicker time okay so what you observe if we increase the number of dc then we will see that responsiveness will be good because only few customers are being served by that dc so therefore I will be able to reach to the customers location quickly demand will be made quickly so that is the positive thing so what is the negative thing the cost will go up because if I have to open six dc then for each dc I have to incur some fixed cost I have to incur some variable cost so my total fixed cost and variable cost for operating the six dc will go up so although my responsiveness is going up although my responsiveness is going up but cost is also going up okay so therefore I need to do a trade off and find out how many this is should I have so that my responsiveness is maintained and cost is also minimized so how do I solve that problem so that is what we have summarized if you keep on increasing the number of dc then definitely the customers will be served quickly but the cost of opening and operating this dc will go up so how do you decide how many this is should you have and where to locate those distribution centers and which dc will be serving to which customer so these are the few important questions which we are like facing and the supply chain manager is also trying to solve it so is there any systematic way is there any data analytics technique so that we can find out this in a systematic manner so yes fortunately there is a technique called k means clustering okay so we will discuss this in the next class in detail but what we will do suppose you apply this k means clustering technique then how the results will come up and how it will benefit you so let us assume that you are applying k means clustering so in this case k represent number of clusters okay k represent number of clusters okay so in our case if we stick to this example of 6 dc then the value of k equal to 6 okay so I have one cluster which is being served by dc one so I have one this is my cluster one so cluster one that means all the orange customers are cluster one then I have cluster two so all the blue customers are my cluster two so all these blue customers will be served by dc two then I have cluster three so the green customers all the green customers will be served by dc three then I have dc four cluster four so this is my cluster four so all the red customers which are located over here will be clustered together and will be served by one dc that is dc four then we have cluster five so in this cluster I have all my purple all my purple color customers so all these customers will be served by one dc in this case dc five then we have another cluster cluster six so cluster six all the brown customers you can see all the brown customers will be served from one distribution center in this case it is dc six so if you do k means clustering if we apply k means clustering with this data like in which we are having latitude and longitude of each of these customers so if I tell I need six clusters I need to segment this whole customers into six groups so using k means clustering I will get six different cluster so in this case I got six different clusters so automatically your customers will be segmented now on that segmentation is done using clustering technique then the next question is where should I have so once the segmentation is done so if I apply k means clustering with six k equal to six I will get the segmentation customer segmentation now once this customers are segmented then the next question is although I got that these purple color customers should be served by one dc but the question is where should that dc be opened similarly you got to know using clustering technique that all of this green color customers should be served by one dc but where should I have this dc will it be located here will it be located here will it be located here will it be located here where should I locate same thing applies for all other distribution centers so we need to find out where should I have my dc for blue customers where should I have my dc will it be located at this place will it be located here at this corner will it be located here at this corner and so on so this is an important question which needs to be answered so how do I get the answer so can k means clustering technique answer this and tell me where should I have my prospective distribution center yes k means clustering technique will also help you to do that so in this technique there is a concept called centroid there is a concept called centroid so what does this centroid means centroid means the center of the cluster so in this case since the data represents the customer's location so I have latitude and longitude so it will tell me the centroid position so let us take an example of dc1 so dc1 I have all of these customers orange color customers so what this k means clustering technique will do it will give me the centroid value ok centroid value means the center location of that cluster so from that place all of these customers location will be subbed so since this is a centroid location since this dc is located at the centroid of the cluster this orange region so therefore it will help me to improve my responsiveness also so all the customers will be served from this dc and dc will be located at the centroid of the clusters so this k means clustering technique is not only doing the segmentation it is also telling me based on the distance from various customers it is telling me where should I have my centroid and these centroids are location of distribution centers so this dc means distribution centers so these are my prospective location at distribution center so first time doing the segmentation using k means clustering if k equal to 6 I will get 6 segmentation 6 cluster if k equal to 5 I will get 5 clusters so if I show you here k equal to 5 I will get 5 such clusters if I go back further if k equal to 4 I will get 4 clusters if I put k equal to 3 I will get 3 clusters so once I get this cluster then using the concept of centroid I will get the location of dc so these distribution centers are nothing but the centroid of this cluster so dc3 is centroid of green cluster dc1 is centroid of orange cluster dc2 is centroid of low cluster so that is how the possible location of distribution centers are determined so why centroid because centroid is the position from where all the customers will be served based on the distance and distance will be minimum from the centroid so that is the idea so as you have summarized k means clustering is not only helping me to segment my data set in this case segment my customers locations and grouping the customers together it is also telling me where should I locate my distribution center so that the customers are served in a quicker manner so now what we will do in the next lecture we will discuss this k means clustering technique in detail and explain to you like how this technique works and how do I find out the value of k so what would be the optimum value of k will k be 1 will k be 2 3 4 5 6 how many clusters are optimum we will also discuss with you the code like how to write the python code so that you get the same output as you are seeing on the slide so thank you look forward to seeing you in the next lecture.


I'm a fan of the shirt, but I'm not a fan of the shirt. Let's get started. What's up guys? Come on in I'm Shreds, here on Thumbs Up, where we talk about buying tickets, selling tickets, making sure that you have all the fun with your tickets. Today we're talking all about verified fan presale codes. How does it work? How does Ticketmaster get the verified fan presale codes from their magical algorithm into the hands of the consumer? How does it work? So we've got three main things we need to talk about. One, what is a Ticketmaster verified fan presale, and how does it work? Number two, we're going to talk about how you actually go about signing up, and we're going to go through an example of exactly what you need to do to sign up for a verified fan presale. Lastly, number three, we're going to talk about three main tips on how to make sure you give yourself the best chances of actually getting one of those verified fan presale codes so that you can go ahead and see that event. I've laid out these three different sections below so you can go ahead, check out the timestamps so you can jump ahead to where you need to go. Other than that, they'll strap in. It's going to be a good one because we're going to learn all about verified fan presale codes. Let's get started. All right, welcome. First off, what is a Ticketmaster verified fan presale? Ticketmaster introduced the verified fan program way back in 2017 with the intention of getting tickets in the hands of actual fans and not in the hands of brokers and funds. Being Ticketmaster, they released it with all the hoop-flaw and fanfare that they possibly could. They introduced it with a few big events, and they started rolling out to smaller events. And now everybody and anybody who wants can go ahead and get themselves a Ticketmaster verified fan presale. Any artist, any event, anything you think of, they're all eligible if they so choose. Essentially, Ticketmaster created an algorithm that will take all the data of all the individuals who are going ahead and trying to apply to get these verified fan presale codes, churn it all together and pump out with a result, yes or no. Yes, you're going to go ahead and get those great tickets or no. Unfortunately, you're going to put on the wait list and you won't be getting anything. So Ticketmaster designed it so that the algorithm would get smarter over time as it got more data, as it kind of started to filter in accounts which were good, accounts which were bad, and being able to kind of identify which fans were the true fans who were going to get those presale codes. Again, though, because there's only as limited supply of tickets available to each concert and event, there's only so many codes that can be given out. If they try and give out more codes than the amount of people who are eligible to go ahead and buy these tickets, you'll create a system where people will be angry at the first level where they don't get a code and they'll be even more furious if they get a code and then they can't even go in and buy those tickets. Therefore, Ticketmaster being the smart organization that they are created the wait list whereby people who didn't actually get the codes initially may eventually get filtered in some additional codes depending on how many people are actually buying those tickets. So some of the key main benefits of the Ticketmaster verified fan program is that, one, it helps get tickets into the hands of fans. So if you are someone who is lucky enough to actually go ahead and receive a verified fan presale code, consider yourself very lucky. Ticketmaster considers you an excellent true fan, and two, it likely means you'll be able to get tickets at face value in front of everybody else. Because, one, you're gonna be going in with a limited amount of people who are also buying tickets in the presale, and two, you're gonna be getting them at generally a better price than what it will be on the open market once they are on general sale. Ticketmaster is very much a fan of the dynamic ticket pricing model, and they will go ahead and adjust prices over time depending on how they see the event selling. So if they find the event is selling excellently well, they might go ahead and start increasing the prices overall, and that will make it more expensive for those buying tickets on the general sale. But if you're in the verified fan presale, you'll be getting in at those rock bottom prices, so it gives you the best chance to get tickets at face value and have the most amount of fun. So, you know all about the Ticketmaster verified fan presale, but how do you actually go ahead and sign up? Well, what we're gonna do, we're gonna walk through an example of how to actually do that. We got some Billie Eilish going on right now, so we're gonna take a look at her verified fan presale, how to go ahead and find it, how to go ahead and sign up, all the good details, and we're gonna do it all right now. So when event gets announced, it's gonna have a Ticketmaster verified fan presale associated with it, there are a few different ways of actually going ahead and finding out where to get the information to go and sign up for this program. One, the artist's website, or two, on Ticketmaster itself, they will generally put up a link where you can go ahead and actually go ahead and sign up for the presale. So on Ticketmaster here, you can already see right at the top, we know that Billie Eilish is going on tour. We got the big massive banner right in front of us, and we can go ahead and click on that. But instead, we're gonna go through the long way just to make sure you all know all the individual steps. So, first off, search for the artist that you want to go see, Billie Eilish, here we go. Fantastic, and look at that, a huge massive banner is waiting for us right at the top, telling us to go register for the Ticketmaster verified fan presale. As you can see, there is a deadline for the verified fan presale registration, and this is the case with all other verified fan presales. They will generally close about two to three days prior to when the presale takes place, so that Ticketmaster has enough time to go ahead, process all of the requests, and determine who's gonna get a code and who will not. Billie Eilish, we can see here it ends on Sunday, May 23rd at 11.59 p.m. PST. So, once you have the link, whether you find it on Ticketmaster, whether you find it on the artist website, whether you find it across Google, find it on one of the other forums, once you get the link, go ahead and hit that button immediately. And what it'll do, it'll take you to a landing page. So, on this landing page, the first thing you're gonna see, again, you're gonna see the artist who they're talking about, or the event that's gonna go on that's following this verified fan presale, and then you need to go ahead and start doing the registration process. So, step one from here is actually going in and signing in to your Ticketmaster account.  There is no other way around this. You do require a Ticketmaster account. Go ahead, sign up, and then come back to the stage, and we're gonna go ahead and sign in to register for this presale. Go ahead, click the big blue button, and then sign in. Now, once you've signed in, you just need to go through the steps of actually verifying the information that's there.  You don't wanna have any errors here, so again, make sure you pay extra attention to the details that are being populated. The last one that you need to put in is your zip or postal code. Once you've filled in all your information there, you're kinda, you're like 90% of the way there. 90%, but the last 10%, this is the most fun part. You then gotta go in and select your show. This is where the magic really starts to happen. As you can see in this situation, you can only select one show. If there were multiple shows that you could select, there would be multiple drop-down options. Where it says here, select show. It would be select show number one, number two, number three. Generally, you'll only get to be able to pick for one show, but sometimes, depending on the event, you may be able to pick two or three. Really depends on the actual artist and event that's being put on through this presale. In this case, I'm gonna go ahead and pick my show. I'm closest to Toronto, so I'm gonna go ahead and select that Toronto show. Last thing here, there are a few different checkboxes that are available to you. You don't need to select these. I generally will avoid them because I don't need any more spam than I already get. But if you did wanna sign up for her email lists, you can go ahead and do that. Same thing, if you wanna join the Live Nation list that gets sent out or any other kind of verified fan program information. If you wanna get updates for new ones, you can go ahead and select all those boxes. So if you want, you can select them all. You can select one, you can select two. You can select none of them. It doesn't really matter.  Once you've selected your show, determine which checkboxes you do or don't wanna select, you're gonna hit that big blue button. Once you've selected this button, you're not quite there. You're like 98% done. But the last thing I do now is you gotta request your one-time code. Basically, this is Ticketmaster's two-factor authentication. Depending on the phone number or mobile number that you put into your Ticketmaster verified fan presale registration, that's the number that's gonna show up for this two-factor authentication. For the authentication, you can either get a text or a phone call. Up to you, doesn't really matter. They both work the same way. There is no benefit to picking one over the other. If you're someone like my sister who still doesn't actually receive text messages because her phone plan is so old that it would cost her, which is kind of mind-boggling when you think about it, but besides the point, you can go ahead and get a call option. Otherwise, texting option is there for ya. Waiting, waiting, waiting. It should be pretty quick. Generally, you know, 10, 15 seconds. There it is. Type that in, and we are now gonna hit confirm. Once we hit this button, that's it. That's all. You've done everything you possibly can to sign up for the verified fan presale. So what's it we're gonna do right now? We're gonna do it. We're gonna hit that button. We're gonna do it right now. Ready? Ready? Three, two, one. That's it. That's it. That's all. You've done it. Congratulations. You have just signed up for the verified fan presale. Now, I do wanna mention a few things here. One, once you've actually completed this registration, like you'll see here, you get a registration complete form. Congratulations. Fantastic, wonderful, excellent. However, I do need to mention, just because you've completed this does not mean you are now guaranteed the ability to go ahead and actually get a verified fan presale code. It's still up to Ticketmaster to now determine who is gonna get a code and who is not. So it's really just a matter of waiting at this point. Once you go out to the stage, you're also gonna email confirming your registration so you can again, see another confirmation. Keep that with you to know that you've actually done it all successfully. And then two, you're gonna find out when you're gonna get information on whether you are successful in getting your verified fan presale code. So in this case, on the evening of Tuesday, May 25th, that's when you're gonna find out via email whether you were successful in one, being eligible to go ahead and get that presale code or two, unfortunately, being put on the wait list. If you're on the wait list, generally that means you're not gonna get anything so don't be expecting anything out of that. But if you are successful in getting a verified fan presale code, you're gonna get that congratulations.   Presale codes will then come the following day in the morning, generally about an hour or two before the event will go on sale. So you will have tons of time to go ahead, prepare, plan, get ready because you're gonna get the presale code and you're also gonna get a specific URL that you need to type in so you can go ahead and actually buy those tickets. Now, you know all about the verified fan presale, you know exactly how to register for the verified fan presale, you've actually registered now for the verified fan presale but we gotta talk about a few more things, a few things that can actually help improve your odds in being able to successfully get those presale codes. I got three of them for you, so let's get going. Number one, when you sign up for a verified fan presale, you wanna be using an account that actually has activity in it and not just a brand new account. If you use a brand new account, this is usually flag number one for Ticketmaster to say, hey, this potentially could be a bought or broker account because there's no activity on it, it was just created yesterday, it's just created today, it's just created five minutes before this person registered for the presale. I don't think this person's gonna be, you know, our best true fan for this individual. So I think we're gonna have to, you know, push them off the side, push them onto the wait list because they're not gonna be good enough for us. The reason you wanna use an account that has activity on it, whether it's, you know, purchasing other tickets, selling other tickets, anything of the sort, basically, you're giving Ticketmaster proof that, one, you are a true individual who is looking to, you know, go ahead at 10 different events, 10 different concerts, you've shown a history of attending different concerts, or someone that Ticketmaster could actually trust to say, hey, if you're buying these tickets, there's a better chance that you're actually gonna go ahead and use these tickets to attend that event. So if you're using a brand new account, you don't have any history at all, Ticketmaster doesn't know you from a hole in the wall and Ticketmaster is giving no codes to no holes in no walls. Obviously, this isn't always possible, though, especially if you're brand new to Ticketmaster, you've never bought concert tickets before in your life, then unfortunately, this is the only option you have, you gotta use a new account. That's not to say you won't get verified through the pre-sale program, however, it is very unlikely, unfortunately, if you do have a brand new account. So if you can use one that does have activity, gives yourself a better chance when going ahead and getting those tickets. Second big tip, don't apply multiple times. Yes, the program does allow you to go ahead, submit a second or third attempt. If you do go through the process and realize, oh, I wanna go to a different date, or I wanna go to a different show, or I wanna use a different phone number, whatever the case may be, all these options are there for you. You can go ahead and make a submission, but every time you do make a submission, that will be the one that Ticketmaster looks at, punching everything through the algorithm, determining who's gonna get those codes and who is not. If you are applying in multiple times, it's not necessarily a problem per se, but if you do apply multiple times, one, you could run into the risk of applying for the wrong show and then not being able to buy the show that you actually want, or two, you could end up potentially getting your account flagged as being a bought or broker. Reason I mentioned this, if it were a bought account, it's possible that bought accounts, they would be signing up multiple times, just because they're doing so many mass signups. It's possible there could be issues in that situation. So if Ticketmaster sees, you know, an account was signing up multiple times right after one after the other, after the other in quick succession, it doesn't lead the algorithm to think that you are, you know, a true human being because you're doing something that's a bit too crazy. It doesn't make any sense. I know, I know, I know some people, they just can't help themselves. They're too excited. They hit the button, then they hit button again, like, oh, I wanna do it again. That was so much fun. I wanna do it again and again. And then you realize that they should have just, you know, just stopped at one. Two maybe, but definitely not three.  Try and keep your enthusiasm, you know, just hold it just a little bit, wait until you get that pre-sell code, then go ahead, be super, duper excited. Again, just try, you know, keep things down to a minimum, just apply the one time, but pay attention to when you are applying so that you don't run into any problems going forward. And number three, the best tip that I have for you, use multiple devices when you are signing up for pre-sale access. What do I mean? If you are going ahead and signing up for the pre-sale and you're gonna use your computer to sign up for the actual pre-sale, that's great, that's fantastic, that's so good. But then if you also have a sibling in the house, a parent who's there, someone else who also has a Ticketmaster account, you can go ahead and ask them to sign up as well to give yourself even better chances of getting those tickets. Remember, there's only a certain number of codes that are available to all the masses and the more people you have signing up to actually go ahead and get tickets for you, the better your odds will be. With that being said, if you have multiple people signing up for these pre-sales with their own individual accounts, that's great, but something that you can do to make it even better, a bonus tip, if you will, when multiple people are signing up for the pre-sale, also have them use their own internet connection, their own IP address. You don't want everyone to be on the same Wi-Fi network. Why do I say that? Again, think back to what it would be like if you were a bot or a broker. If you were a bot, you would have all these signups happen all at the same time using the same IP address, using the same internet connection, and Ticketmaster would say, hey, we have hundreds or thousands or tens of thousands or hundreds of thousands of signups happening all from this one local IP. I don't like the look of this. I think this IP is being run by a bot or a broker. Let's ban all of these accounts and don't give any codes to them whatsoever. That's not to say if two or three people all use the same Wi-Fi network or you end up going to the library using public Wi-Fi. That's fine. However, if you want to give yourself the best, best, best possible odds at all, you want to get different devices to be used and using different accounts, using different internet access points. Keep everything different. Keep everything separated. Keep everything apart. Give yourself the best possible chances that you can to go ahead and get those verified fan presale codes. And that's it. That's all you need to know. You now know everything there is on how to go ahead and sign up for a verified fan presale. If you guys are signing up for presales, let me know down below which events you guys are signing up for. I'm always curious to see what you guys are interested in, what you guys want to attend, what you are attending. I want to know all of it, so let me know down below. If you guys enjoyed this video, definitely let me know by hitting the like button down below as well. Also, be sure to subscribe if you haven't already. Great new content coming out every single week in. See you guys next time.


Hi, welcome everyone. My name is Elif Tina and I would like to in this presentation I would like to share with you our work in progress In the research in the framework of the research project that aims To view the blockchain based decision support and longitudinal data storage with illustration for diabetes type 2 management So this work is done in collaboration with Rick Hu, Luca Matzola, Christian Reynolds and Peter Novotny So evidence-based medicine requires massive data acquisition and its access for diagnosis, treatment and research purposes. In order to actually put in place such approach evidence-based medicine, we need to address following things. We need to enhance decision support system. We need to be able to collect historical patient data and to share it in a secure and privacy-aware manner and share it both for the diagnosis, for the treatment and also for the search purposes. So in order to enhance those three different points, we propose to use business process and rule management and blockchain to assist healthcare decision and allow implementation and automatization on the following the latest clinical protocols. Our use case scenario is chronic dismanagement and we have chosen diabetes type 2. And the patient that have diabetes, they have to go to doctor about every three, six months. And basically the following tasks happen every time the patient comes to the doctor. So first the doctor is using some guidelines, the existing guidelines and his experience to identify the best treatment plan for the patient. Then when the plan is selected, then it has to be checked against other medications that patients is maybe taking and also the safety of the drug and possible adverse effects. Then there has to be a check for especially for the expensive and new medication. There is a need to check whether this medication will be reimbursed by the insurance company. Then the patient has to accept either possible adverse effects or maybe the need to pay for the medication in case if it's not reimbursed by his insurance company. And then also the data has to be collected, the data about patient reactions on the treatment and the progress. And in the in the best case scenario some data could also be collected for the medical research. So here we try to modeling those flow. We also try to specify different databases that are public or private and also the data or whether those databases contain only the data or also the rules such as for example guidelines for the from the medical literature. So the the difficulty of implementing such system that would basically allow a smooth execution of those tasks and optimization and their optimization lies in the following. So what we have here is the multiple dynamic data ware processes such as execution of guidelines, simulation of reimbursement decision making and collecting of the outcome data. And we have a overlapping set of participants that may have only partial access to different types of data including sensitive patient data and also all those participants can in different manner influence the full decision making regarding the treatment. And here we're talking about patients, clinicians, researchers, insurance and pharmaceutical companies and regulators. So we propose the following architecture that captures this flow with the tasks that I just presented and also allows to achieve the following functional requirements. So our system architecture consists of three layers that could be represented each of each of them can be represented as the separate blockchain or separate channel. And first layer concerns intelligent logic. So this is the this blockchain that is that can be seen by different participants, but only designated actors could write data, could basically add guidelines and then those guidelines can be verified by other participants like different medical doctors. The same as their reimbursement and their prescribing information can also be verified by the regulators. Then the second layer is the data processing layer that basically is a workflow orchestration orchestration of those tasks that is initiated by the clinician and that is more concerned to concern to the specific case specific specific patient case and involves patient data and specific medical guidelines that are required for this patient given his condition. Then we have also data processing layer that is responsible for consent management. And here is where our patient can specify what data can be used by the doctor, for example, to execute those tasks and for which doctor which doctor can access which type of data generated by also different practitioners or maybe stored in different hospitals. We also assume that there is an off-chain data storage that can have either sensitive patient information or also data for medical research. So the system works as follows. When a patient comes to the doctor, the doctor can provide some input information about the condition of the patient. So in our case, it could be diabetes type 2. And then from this first ledger, from the diligent logic ledger, the guidelines are sent to the data processing ledger. And then we know basically which patient data is required in order to run to execute those guidelines. Then when we know which date is required, then the information is sent to the data privacy ledger and to check whether there is a consent from this patient so that this doctor can assess this type of data. And then the rules are executed and here we see that either the data can be sent with the consent of the patient to the data processing ledger or we can use the private data collection in order to keep the data in the hospital and not share it on the ledger. And like this, it goes for different tasks. Next one, for example, for the prescribing information where this flow would actually be repeated. So now let's focus on how we implement this medical, how we implement this first layer with intelligent logic, what it consists of. So we started, for this specific example, we started with official recommendations for the treatment or the guidelines for treatment of type 2 diabetes where we had the text. And from this text, we constructed case management models which basically shows different outcomes based on the different rules and different input information. So here we first related whether using business process management and business process modeling annotation could be also an option. And we figured out that using case management is actually better because it fits better the structure of those text guidelines. Also we cannot have it as structured as business process as is in BPMM, business process management, because sometimes we don't know which data arrives first. And it's really the structure of the guidelines that really fits for the CMMM. Then from case management models, we created JSONs that basically describe the rules for, that basically implements the logic of the guidelines and what we have presented in CMMM. And then we used open source JSON rule engine that also lives on this intelligent ledger. So here is a specific example where we have a part of our case management model. For example, this is a representation of the logic of how to adjust the treatment for patients with chronic kidney disease where we have to have, and here is the representation in JSON manner that describes for each of the outcomes depending on the input data such as BMI and EEGFR. What are the rules that will be applied to the data, to the input data that will be specific for each patient, and that will basically automatically suggest to the medical doctor that this is the suggested medication according to the So now in this small demo, I would like to demonstrate how we implemented this specific piece of logic. And on our intelligent ledger that is that we call guideline channel because we used hyperledger fabric and we plan to have three different channels. So far we have two channels, one is the guideline channel that stores all this information about the guidelines and the second channel is the treatment channel that is concerned with the specific patient cases and implementation of those guidelines. So basically here you will see a short video where doctor is able to initiate to basically get the required model from the guideline channel and then it is sent to the treatment channel and then it is executed using patient data. So here is just a demonstration that we have those two guideline channels created. We have hospitals, the insurance company and the regulators where doctor has rights to write on the treatment channel and the insurance company and regulators are able to view the information. So here is just a screenshot from our patient data smart contract that is deployed on the treatment channel as you can see here. And here is the demo video. So here we have our case models. So this is the content of the of the first layer with the intelligent logic with our guideline channel. So here the doctor can see that okay he needs to check the information for the patient with the kidney disease is the logic that will be used. So he can see that and then he could choose already from the from the patients from the available from the information from the patients that are in his database he could initiate this patient case where the logic from that is coming from the intelligent ledger will be executed. So now he chooses to execute this logic for the patient one and see the execution and that is that basically one of those four different outcomes has been chosen based on the logic that was coming from the intelligent logic ledger and then executed on the treatment channel. So now I think I don't have time to demonstrate the demo. I just mentioned that we also have a already implemented case where the doctor may not have all the information as you can see here all the all the tasks and for example not all the information may be available and doctor has possibility to also manually enter manual entry and add different data that then would help to identify whether to identify one of those three outcomes. So the next steps we have basically first is to extend our framework to connect it with the consent management ledger implement the guidelines and also integrate other rules like prescription management and also a drug drug interaction and we have also different research challenges like how to achieve systematic sharing in use of data for research including achieving privacy and security of data and also ensure that we can translate from those textual guidelines that we can correctly translate them into the intelligent logic and this is really a very very big interesting part on how to also ensure the verification done by different parties and also make sure that this system can be adopted in the in the clinical workflow. So we have to also work with medical doctors and this is also one of our next steps to help to build better interfaces and make sure that this can be easily integrated in the clinical data flow. So thank you very much for your attention. Are there any questions?


So I have a new favorite line from a movie now. What is it? Naughty pussy. Um, shanty um.  I'm Shahrukh Khan. And you can follow us on Instagram, Twitter, and more. You are not. I was waiting for that.  I think you should follow us on Patreon, follow us on Twitter accounts, subscribe if you don't like Button because it helps. The algorithm. I'm younger than Shahrukh Khan. You don't look it. That's true. I've had somebody actually, it's so funny.   I will when the role I'm cast in requires me to do it, but other than that, I like being a silver fox. Today we have, this is something people sent us after the cricket video about the Yorker. And this is the different type of cricket balls. Cause we asked specifically cause he said red ball cricket and white ball cricket. Yes. Thank you. This is a whole video apparently about the explanation of the different balls.  We beautiful. Keep learning new things. Thank you, thank you, thank you.  Yes, I love balls. Yeah. I particularly like sweaty balls. Yeah. Yeah. Which by the way in baseball, my favorite, my favorite game. Sorry. I started. My favorite game. There is no, that's always the exact, has to be the same ball. So I'm very interested to see what it is about with.  Very particular. There's a very particular kind of mud clay mixture that major league baseballs are rubbed in before they're put in play and used in the game. It's from a specific river and only one family. One family.  Anyways, here we go. Okay. Now the sound's not here. I hope a lot of cricket players don't have to deal with blue balls cause that would suck. You do. Was it just fine? Here we go. Fine and welcome back to. That's a pink one. Today might be a good chance to talk about seven balls there. The way it's evolved.  I guess my understanding of how I've had to adapt in playing in different conditions. First and foremost, you know, you look at the three basic color of the balls. The red ball, you got the pink which has been introduced recently. And of course the white that's been around since the eighties or so. First ball that I want to pick up is the one that I'm more comfortable and used it more in my career is the Kookaburra ball. Kookaburra. The thing about the Kookaburra ball, I think over a few times, it's actually deteriorated in terms of the condition of the ball. Whether they went from hand stitching more to a commercial grade where they're not using as much hand stitching as they used to. But the traditional cricket ball made by Kookaburra has got what they call generally like a lacquer over it. So you know that the ball should stay in pretty good condition throughout most of the first session. Towards the end of the day, the Kookaburra ball would generally get a little bit softer. Reverse swing can happen with the Kookaburra ball. I used to enjoy viling with it and I was probably as I mentioned more familiar with it. Now we go over to the jute ball which is used over in the UK. And you can see straight away there are different colors of the balls which are different environments and different I guess tans that they use.  But the jute ball, the first thing I notice is the amount of lacquer on the ball is much more in this lacquer. And the one thing they always talk about and hear about with the jute ball is that this ball swims around corners. It shakes because the lacquer, if you can keep maintain the perfect ball condition, this one here in England will suit the conditions and swing around. Not as a prominent sort of pronounced scene or not this one anyway, compared to the Kookaburra ball. Got it. The Kookaburra normally, the seam in the middle is a little bit higher as opposed to the jute, but I have seen jute balls with a quite prominent seam. No clue. No clue. I thought they were all the same. Yep. You can see the SG. This is from India. This one here has got a film coated lacquer over the top. But I find this ball over here tends to take a lot more scratches, a lot more easily. So you might bowl two overs. And I guess the conditions aren't really conducive to fast bowling over here in India. But I find this ball scuffs up a lot quicker. However, that could help you for a ball, reverse swing. Good ball to bowl with. It's another difference of baseball. They're such a totally different game. And then we get over here, when you're playing up north, maybe up at Mahali or playing down here in Mumbai, you can get a bit of movement off the seam. The one ball I probably enjoyed bowling with the most was the white ball. And for me, this is probably the format where I dominated most decent in Tascara, but for me, I felt a lot more comfortable in the one day arena. I don't know the reason why, but when I try to educate people and young boys and girls about bowling, I find for some reason, the white ball would swing more. Well, for me anyway, I found I could hoop the white ball a lot more.  It's actually painted white, as opposed to dyed red as you see here with a red crimper ball. So same shape, same weight, same ball, but this one's dyed, this one's painted. And you'd often find that this one here, generally in Australian conditions, would go a lot darker quickly, go green. I think in the late 90s and early 2000s, when I was playing for Australia, we bowled with bong ball the whole 50 overs. So for me, you get to about the 40 overmark and the ball be scuffed up, quite hard to see, quite green. That's when the fast ball comes into his element and that's when you can really take the wickets. Then they introduced the mandatory 34 over ball change, which I think probably hurt cricket, because that's the time when the balls are about to get reverse swing happening. They get a ball maybe 20 overs old and then it pretty much brings the batsman back into the game. And also they introduced one ball from each end, which means that only 25 overs old that ball could get from either ends. Really took reverse swing out of play. Once again, very scuffed up with the different conditions and the different subcontinent ball and English ball. Then we throw in the pink ball or the rosé. We've got the white or the red. Why don't I have a rosé? This ball here, I never got the chance to play a competitive game with the pink ball. But what I've seen on television commentating and certainly what I've witnessed is that this ball hoops around corners and probably to the conditions of when the pink ball was used, twilight, good time to bowl as the sun goes down. The ball once again, it's got a nice film on it, a nice lacquer and a decent scene position. The only thing that I would say is that it does get a bit scuffed up a bit quicker than the traditional red ball, but I think it's been a good find. Test cricket with the red ball, people can see it. It's a lot of fun. At the end of the day, it's all about the viewer and hopefully putting on a good spectacle. So that's my take, I guess, on the cricket ball. So there we have it. We've got the traditional red, white, and now the new pink ball, which has been introduced for the last couple of years. I think it's been fantastic. The viewers love it. I love watching it. Hopefully you've enjoyed it. Hopefully you've learned something. Let us know. Keep watching Britley TV and there's many more fun and exciting things coming up. Surely. Good, informative. Very informative. I just, super unique. Is it based on whether it's the particular league? Is it based on weather conditions? Is it based on? I think it's based off rules, country. That vary from place to place. The fact that, because obviously it's different here, we're really the only country that plays certain sports. I mean, obviously baseball has expanded a little bit, but it's huge in Japan or Korea. And so we kind of got to make the rules. Yeah. Same thing, American football, NFL. Same thing. So it's all that basketball. I mean, it's expanded a little bit, but once again, it kind of started here, kind of got to make the rules. Soccer, there's different balls. Is there? Yeah. Not crazy amounts, but in that the FIFA does get to regulate it, but they do have similar. But there are different kinds of rules. It's the play. Right. I think that's one of the reasons. So it's like, here in England, we play with the cricket ball, but it's a little different than what India has in the cricket ball. So I'm guessing that's why. It was super interesting what he said about, because obviously it's something that is not a thing in baseball that, because you can change the ball 10,000 times. You actually have to, it's the exact opposite theory where he said from a bowling standpoint, you want this thing to get aged and scuffed. You'll notice if you've watched a baseball game, for those of you unfamiliar with baseball, the moment that ball might be scuffed, it is immediately replaced.  The only thing they can do is rub the ball when it's put into play for the first time to try to get it a little bit eased up on the tightness on that, but that's all you can do to them. It needs to be pretty immaculate. Whereas with this, that's a part of the game. Obviously it's part of the game. It's the ground. Yeah. Almost every year. Obviously if you hit a six, I assume those are souvenirs for the fans like in baseball when you hit a home run.  Unless it's obviously a sentimental one. Like if it's whoever's record or whatever. Yeah, exactly. I don't know. I don't have the rules with that.  And it looks like the pink one was specifically mostly so the audience could see the ball better, which is one of the things he was saying. Okay. Like so they can track the ball. Track the ball better visually. That makes sense. Especially if you're playing on a field that's not really green. If it's kind of dried out over time and everybody's in white uniforms. Yeah, it's kind of interesting. Very interesting. And I wonder how different the bats are as well. And I wonder if defensive players have a preference of which ball they field when they have to catch a ball. They may not have a preference, but I would imagine over time you do start developing a preference for the way you can pick the ball up off the bat and how it feels when it comes to you. Interesting that he said once, obviously they changed the, they used to bowl with one ball for the whole. For two overs, yeah. Unless I guess when the six or do they bring that ball back? Right, I don't know. But I imagine they don't because if that goes out of the stadium that has happened before, I suppose. Or if it breaks, I'm assuming it'll break. But the fact that he, I guess as a bowler says it benefits him because the ball gets softer. And so like they can't hit it as far sometimes or it's reversal, I guess what he's saying. Yeah, and it affects the spin on the ball, not just when it's released and when it skips off the ground. But then I guess they changed it to like half, they changed the ball out to make it more even. Yeah, I suppose that over time, the longer the ball stays in play, well, from a bowler standpoint, I think if you were talking to somebody who's batting, I think, yeah, the longer the ball stays in the game, advantage bowler. Granted, a lot of sports do give the advantage a lot of times if they admit it or not to the offense because people like points. Yeah. And they want people to be engaged. Yeah. So low scoring, whatever the sport is, is not as fun as if it's a high scoring game. But for those who know the games and love the games, you actually prefer great defensive games typically. Every sport, especially in American sport has benefited the offense, NFL football, baseball, NBA, golf. No, it's true. Actually, golf you want? Yeah, lower scores. Lower scores, lower scores. But they, more people, especially those who don't really understand the nuances of the game, they like the excitement of offense. Which is a shame because when you understand a game really well, you can appreciate how beautiful a game. So why so many people hated the San Antonio Spurs during their big era with Greg Popovich, coaching Robinson and Duncan and Tony Parker is because they were not a flashy team. They didn't score a lot and they kept their opponents down around 70 points a game. They won championships but they were boring to watch. You're boring to watch. I know. Anyway, it's a great video. Let us know what other informational cricket videos we can react to down below.


This study investigated the use of a novel biocompatible material, poly-D-l-lactic acid, slash-arginal-glycelespartic acid, RGD peptide, modification of poly-lactic acid, co-dash, glycolic acid, alt-l-icene, PRGD-slash-PD-LLA, as a nerve conduit to reduce neuroma formation following amputation. The PRGD-slash-PD-LLA-capped group showed improved recovery with less autonomy scores and fewer inflammatory infiltrates than the uncapped group. Additionally, the PRGD-slash-PD-LLA-capped group had better myelin sheath regrowth and gene expression levels compared to the uncapped group. These results suggest that PRGD-slash-PD-LLA may be a viable option for reducing neuroma formation following amputation. This article was authored by Jilin Yi, Nan Jian, Bindan Lee, and others.


Hey curl friends, I'm Bianca Renee and you watching Bianca Renee today and today I'm finally giving in to a very popular trend happening on YouTube in the natural hair community which is Rice water Renses this magical potion right here is supposed to grow your hair bring back your edges and save lives Okay, maybe not the last one this magical potion is supposed to help grow your hair help with Length retention bring back your edges make your hair shiny help with detangling like it's it's supposed to do everything So I obviously got to give it a try and see what all the hype is about and I'm gonna show you exactly how I made this It's literally rice and water The end rice is known to have amino acids Antioxidants vitamin B vitamin E and mineral so we're putting all that in our hair And this is not just for curly hair if you have straight curly wavy This just might work for you And I'm confident that it will work because I watched a million YouTube videos before making this video doing all my research And I've read so many comments of people testifying that their hair is now so much longer It grows faster. It's holding its length. So before I even try this for the first time I'm confident in knowing that it does work now one of the main channels that I end up watching was by youtuber named jazz Mary she's doing like a whole series and really showed the results of growing back her hair She's actually fairly new to YouTube and she's getting amazing views on these videos. So bravo to her I'll make sure to link her video down below in the description box But today I'm gonna show you how I'm going to do it how I made my rice water rinse And how to apply it to your hair. So without further ado, let's do this So obviously you're gonna need some rice. I'm using organic long grain brown rice I was told you can use white best mati wild it really doesn't matter But I will be experimenting with different rice's next week So make sure you come back then you're gonna grab a bowl of some sort that you can clean the rice in and then Some water. This is just filtered room temperature water And I'm gonna start off with a half a cup of rice. Most people just kind of eyeball it But to give you guys some idea here is half a cup and then I realized Probably should put a little bit more. So I did another half a cup making it a full one cup of rice Now I'm going to add some water just to rinse it off It would have any Impurities or anything that might be lurking on that rice Swishing around with my hand and you could see when I separate the water from the rice That's everything that we don't want so I'm just gonna dump this out Next you're gonna grab a jar mason jar anything with a lid will really work But you can get a mason jar from the dollar store Michaels Joanne's any craft store And then we're gonna add all of our clean rice into the jar Most videos I watched didn't even measure anything. They just kind of eyeballed it So if the lower portion of the jar was filled with rice and then you fill the remainder of the jar up with filtered water Slap on the lid and voila, that's all there is to it. You just made your own DIY rice water rinse All right, so there you have it. It's really quite simple. It's just rice and water in a jar I am gonna leave it in a dark cool cabinet overnight because you want to let it ferment for 24 hours I've seen so many different ways of doing this some people just do it for 30 minutes and then apply it to their hair Just do like a quick rinse, but if you let it ferment and let it sit overnight It's gonna let more of those nutrients come out And I think it's gonna do a little better job when you don't rush it and before I commit to this rinsing challenge I do want to show you how long my hair is right now. So let's do a little length check on this striped shirt Let's get a piece from the back And it goes right about to this line so pass the second button Yeah, so I'll see if it grows. I don't really have my bangs out today. Let me bring this forward bang check Bang check All right It definitely is time for a cut. I actually might end up getting a haircut before this which might ruin my whole Experiment, but we'll test it. So I'll come back tomorrow once my rice water is fully fermented and we'll see how this works Alrighty, I'm back. It's day two and it's time To open up the rice water now this has been sitting for a good 24 hours Some people do two days three days some people just do it for like 30 minutes, but the longer it sits The better and like the stronger it's gonna be but I've also seen from several videos But this is about to smell like poop like I've heard this is Just an unbearable smell and y'all know I'm really big on smells so um I'm nervous, but I have also heard that if I would have added Essential oils or orange peels it actually gets rid of the smell But since this is my first time I thought I had to like, you know earn my stripes and Start off with it in its purest form and then next week I'll add lavender oil, orange peels, peppermint, whatever it may be but This first try is just just so I could have an understanding of what we're really working with Let's open this. I really put this on tight. Didn't I work out.  So at this point I'm now going to strain it in this little contraption here has a little strainer at the top And I'm going to do this without spilling because this is everything we need just the water part And now I'm gonna apply it in a spray bottle so I could apply it to my hair Wow, this is a great little contraption. I don't even know where This is from to be honest probably like home goods Target now we can apply it to our hair Now one of the main questions that I personally had when looking at all these different rice water videos was when to apply the rice water Some people like to do it before they wash their hair as a pre-poo that way you can like rinse it out completely With shampoo and conditioner Some people like to clean their hair with shampoo first the way you're applying it on a clean scalp And then they add conditioner after and then some people like to do shampoo Conditioner then apply the rice water and then put a deep conditioner on top of that So because this is a DIY thing. There's not really any rules I would just say try out different ways and see which way you like the best or what works best for your hair So for my first time because I am someone likes to deep condition every single week Anybody got time for 30 minutes for the rice water and then another 30 minutes deep condition So I'm just gonna combine the two today. So I've already washed my hair this morning I did use the not your mother's matcha and green tea and wild apple blossom Nutrient rich shampoo and conditioner and now I'm going to apply the rice water on my clean detangled hair Now one of the benefits to rice water is supposed to help with shedding So I did keep my little shedding to show you guys This is how much hair I lost today just in the shower a normal shampoo conditioner Not too much, but let's see if it gets even less by next week Okay, let's do this this squirt bottle is like a squirt gun. You know what I kind of want to do I kind of want to just dunk it Let's just dunk it in here. I'll saturate the air for you Yeah, we are soaked now Okay, now that my ends are soaked now. I'm gonna apply this to the top of my head and my scalp This is also supposed to help with dandruff So I'm excited to see if that's true now if you're not filming a YouTube video I would suggest just doing this in the shower and you could just dump this literally on your head And that way you're not making a mess in your room. I am gonna give myself a little scalp massage And if you do have leftovers you can keep this in the fridge because that means it will not ferment any longer So it'll still stay pretty fresh and then you could use it the following week if you want But because I'm gonna be doing a different version of this next week. I don't really plan on saving this So I think I'm just gonna use all of it because Why not and I'm gonna dump it all On my head in the sink. So I'll be back. All right. Now my hair is completely Drenched I just dumped it all on my head in the sink And I do want to add a little bit of a deep conditioner because that's what I do So I'm gonna be using the same not your mother's natural as matcha green tea while apple blossom Butter mask one of my favorites and I picked this one because it has such an amazing smell And I thought this was gonna smell horrible. So I was gonna use this to mask the smell but So that wasn't an issue especially on my ends And let the rice water take care of my scalp So I'm going to leave this in a shower cap for at least 30 minutes You could do it for an hour as long as you have time for and now to take things to the next level I am going to grab my thermal hair care heat cab, which I use anytime my deep condition I put in the microwave for 45 seconds on each side So now it's nice and warm and that heat is going to help Penetrate all the product Into my hair So that's all there is to it and I'm gonna let this sit for at least 30 minutes And I'll come back and show you how my hair looks All right, I am back and I just rinsed out all the rice water and the deep conditioner In the sink with just cold water So one of the questions that I had was are we supposed to like wash it wash it out with shampoo? But everyone said you're just supposed to rinse it out with water and you'll be fine With just water. I was worried about the smell lingering, but fortunately My hair smells great. All I smell is my deep conditioner and nothing stinky. So that's a plus But this is how my hair looks Right out the shower No product it does look very defined Very pretty But the main test is gonna be if my hair gets stronger And longer. So this is just part one Obviously this rice water is not just gonna make my hair grow inches in an hour So you got to come back so you can see my actual hair growth results So make sure you hit that subscribe button and the bell so you don't miss my next update video I post curly hair videos every sunday and make up videos on friday So make sure you give me a thumbs up if you enjoyed this video and are excited for this new little mini series And if you want daily tips and daily updates, you gotta follow me on instagram at miss bianca renais I'll see you guys next time. Thanks for watching bianca renais today


What's up everybody, Jason here for JaspysCaseBricks.com. 2021 Upper Deco PG Platinum Hockey just released today. This is a eight box case break. Pick your teams number two, and we're giving away a free box of a PG Platinum. If you grab two or more teams. So again, if you buy two teams, you get one entry. You buy four teams, you get two entries. By six teams, you get three entries. Again, if you only buy one team, you'll not be entered a win. At the end of the break, we'll randomize those customer names. And number one gets the box. And this is the second half of the master. And there's the customer names I bought in. Appreciate it, you guys. John, that one last spot mojo, getting the Winnipeg Jets, and I believe the Redwints. So we'll rip four boxes at a time, and then we'll go to the next four. Let me see that color last break. I'm gonna be setting up a show this Saturday, here local, in Newport Beach. So technically that is our next show. I'll be breaking live from the Newport Beach show. I don't know about bigger shows like, you know, Dallas or anything like that as of yet, but yeah, this Saturday. I think it has like a hundred tables and stuff like that. Pretty big dealers will be there. Well, I just went to Vegas for the Eagles game mic. I went to the show for the day on Saturday, but Mike and Nick went for Friday, Saturday, Sunday with Teddy. He was the one breaking there, but I just showed up on Saturday just because I was gonna be in Vegas already. It actually planned out perfectly because I was planning to go to Vegas for the Eagles game, and then there was also a card show that weekend. So Mike and Nick, obviously being big Eagles fans were like, hey, there's a reason to come to this show now. I'm not sure, I've actually never been to that show. I don't really get the opportunities to go to any shows over the weekends because I work Fridays and Saturdays. I feel like Saturdays is always a big day for a show, so I don't really go to any shows locally, at least. I only go to the shows, of course, if I'm attending. Oh, dude, I don't remember, man. I don't really go to Newport Beach. I've been there before, but I can't even tell you the last time I was there. I'm more of a Bolsa Chica type of guy going down to 605, and then obviously coming over here to these beach cities. I don't really go to Orange County. I've been to Laguna Beach in Chile, that was cool, but I usually stick around these beaches over here. Gotcha, gotcha, yeah, no, no. No, Mike. Our parking is not even big enough to have like six cars. I mean, we have one, two, three, four, five parking spaces plus one handicap, so that's six parking spaces total, but no. We've hosted shows before in the past, before COVID has, but parking's just always gonna be a little bit tricky. I mean, the cool thing is that Vans is across the street, so you can just park at the Vans, and then across the street this way on PCH, you can always just park at the shopping center, but no, that's not big enough. But we have a private parking lot, so that's all we wanted. We just wanted some type of private parking lot. You know, so none of us get to really park here, but what we do here, though, is that once a month, an employee can park here during their shift throughout the day, so that's usually what we do. It's like I'm parking here right now only because of street sweeping, but I was gonna move it after this break.  And all right, I mean, if we all wanted to park in here during work hours, we'd all park here, but there'd be no parking for the customer. All right, good luck, guys. Jake Gensel, Matt Pink. John Carlson. Sebastian Ajo. We have a Oli, that is a nice one right there, of Aquamarine. I do park on the next street, out on my park next to Fusion Sushi on 13th Street, and then I park up the hill right here. There's always parking, it's just you gotta find it, that's all. And Nick Robertson, and this is a pond hockey insert. The plane on a pond. We have Brandon Hagel, David Cratchy. Yes, there is sunsets this year. They have Cosmic, they also have the pond hockey. There's another one right there, and then Aquamarine, Arctic Freeze. They have a lot of them. A lot of different inserts this year. There's your sunset right there. Tiedel Andrea. And a Violet Pixels rookie autograph on card of Sasha. It's not gonna be numbers? I guess not. Sharp to David with that one. Patrice Bergeron, Colton Perreco, Ty Smith. All right, guys, also we're down to like three left in the R&B for triple dread, so I'd assume by the time we get this done, we should be working on that next. Brandon Hagel, Payton Krebs, Sunset Rookie. Artemi Panera, and look at that. That is a seismic gold to 50. Seismic gold autographs look much better. This looks a little orange. Chris Lutang, and look at that. Well, actually this is gonna go to the Leafs, but Trevor Moore for my Kings, but this is a Leafs edition. David with that one. John Lutase, Joe Povelski. Sebastian Ajo, Matt Pink. Chris Crider, Rainbow. Montreux Canadiens, Retro Revo. Oh, we got a Yellow Trax, and that is Mark Stone to 249 for the Vegas Gold. The ninth's going to Mike Tower. Caprice off, rookie. And Kelyev for my Kings. Little Rainbow. Blake Laza, Purple, or Violet Pixels. Number two, 399. Cindy Crosby, Sunset. Dylan Kaga. All right, next box. David Crouchy, Matt Pink, Ballin Byron. We got Turkov. Yanni. And a Igor Zamula. Very nice marquee rookie there for the Flyers, and that is a Aqua Marine to 499. Flyers going to Michael Bellucci. David Perron, Violet Pixels coming up, and that is a Roman Yossi to 399. Caprice off, we got Ian Mitchell, Sunset. We got a Silver, Rainbow, or sorry, I should say not Silver, but Rainbow. We got a Patrick Liné to 99 Arctic Freeze. That's who looks funniest, how Columbus Blue Jackets. And Dustin Brown for the Kings, look at that. Autograph for the LA Kings going to Freddie. That is a Retro Red Rainbow. He just popped Nick Suzuki yesterday. I don't know if you guys seen that. Nick Suzuki popped right back up though, but I know he felt that hit by Dustin Brown. Austin Matthews. Really, nice bill. Not seem cadre. I know a lot of Kings, the first half, continuing in the second half, it's cause I'm breaking. Nico Hescher, nice Aqua Marine to 499. Barkoff Sunset. We got Thomas Harley, Matt Pink, Taylor Hall, Dylan Coughlin, Caprice off. Petrangelo, that is a Arctic Freeze to 99. And a Anthony Angelo. Rookie there for the Penguins. David B with the Penguins. Let me top load all these autographs that I might have missed. Gustav Lindstrom, Lake Lasat Sunset. Barkoff. Woo-hoo! That a personal box? Ooh, what is this? Whoa, Kale McCar. Purple Hunstooth to 15. Wow, that looks great. I actually didn't see these. Oh wow, yeah, so these are the Retro Parallels and these are Purple Hunstooth. Very nice. So there's Rainbow to 20 base, Blue Rainbow to 149, Purple Hunstooth to 15, and then Golden Treasures. Nice Kale McCar right there for the Cumberland Outlet to go into Jeremy Murrow. Let's go to the next four. Dun, dun, dun, dun, dun, dun, dun, dun. All right, I think we've sold out the triple-thirds RMBs, so that'll be coming up next, guys. All right, two more boxes, guys. So again, this is the second half of the master, so if you guys want to do some moral pizza climbing, of course. It is on the website number, picker team number three and four. I think number three's almost in single digits, guys. I remember if you buy two or more teams, you have a chance to win a free box, so. All right, last four boxes, guys. Jake Audinger, Kempeh, Sweet Goli yesterday, Bodin, a Oli, that is a rookie, Retro, Blue Rainbow to 149, Drew Doughty, a Mika Sabanajad, that is a Aquamarines to 499, Rangers, it's going to Walter, Colin White, Adam Fox, either it's a Roken rookie, ooh, ooh, Leon Drysidle, and that is a Emerald Surge to 10. Very nice. Small little dot on that bottom left corner, but still a very nice card there. For the Oilers, when a Cassie, that is a very sweet hit, so we have two Emerald Surges in this master case, guys. Pierre-Luc Dubois, and Sam Lafferty, that's a little update there. For the Penguins, it's going to David, Tom is Harley there, Jack Eichel, next box, Matthew Barzell, Lake Wheeler, Ryan Ninja Hopkins, Brent Burns, that is a Arctic Freeze to 99, David Laherty, Connor McMichael, John Gibson for the Ducks, to 399, Drew Dottie Sunset, Shane Bowers, and Josh Norris, that is a rookie retro, that is number to 149, Sergei Bobrowski, and Keegan Colesar, for Vegas going to Mike, Dylan Kozens, Brock Nelson, Darno Nurse, and Vality. All right, next box, Jack Eichel, Matt Pink, Montreux Canadians there, Kuroshev, and Johnny Goudreau, Yellow Tracks, to 249. Quota Kaniemi, and Blake Wheeler, Aquamarine, to 499. Josh Norris, John Gibson, Kale McCar, that is a red prison to 199, Mark Shifley, and a Jake Gensel, do sign it at the top over here. Jake Gensel for the Penguins, nice break there for the Penguins and David, Dorosmus Dallin, Sensa T.J. Oshie, all right, last box here, good luck guys, and again the next pick your teams from a fresh case, three and four. Nicholas Baxterum, Mark Stone, Gage, let's see if we have a seismic gold coming up, no? It is a Philip Broberg, that is a Yellow Tracks, to 249 for the Oilers. Hoglander, and Matt Zuccarello, Aquamarine there, number to 499, Sunset Steven Stamcoes, Capri Saw, Kiefer Bellows, and for the Ducks, Jacob Silverberg, that is a seismic gold, to 50. Frederick Anderson, Rainbow, this one has to have an autograph here, good luck guys. And it is a Brice Boys, that is an update as well, at least from last year's, for the Canucks, Red Rainbow. Vancouver going to Steve Wright, Mitch Marner, Sunset Elias Lindholm, and there you go. So you guys, all Penny Sleeves, I'll quickly recap the autographs and colors, that kind of separated everything. So all the rainbows, base rookies, sunsets, anything worthy of a Penny Sleeve to be top loaded, will be to the side, I won't go through those, like the matte pinks that are not numbered, will still stay on the side. But I'll showcase all the colors that popped out that are numbered, and all the autos. All right, so this is all the color that's numbered guys. Just a quick little recap glance. Oilers, Avalanche, Winnipeg Jets, Flames, Senators, Ducks, Sharks, Rangers, Canucks, Kilmocars out of 15 there for the Avalanche. Knights, Devils, Blue Jackets, Predators, Aquamarine there for the Flyers, Kings, Mark Stone, Panarin, Robertson, Shea Weber, and Oly for the Vancouver Canucks. And I'll top load these two autographs here, but we got Brass Boys, Jake Gensel, Colsar, Lafferty, but a Emerald Surge to 10, Leon Drysado, Sasha, Angelo, Dustin Brown for my Kings, and Trevor Moore for the Toronto Maple Leafs. So again guys, always beautiful stuff, this OPG plan, and again the next fresh case is in the store, jaspys.com or jaspyscasebreaks.com. Coming over next guys is a little triple-threads break for any release as well. Appreciate it guys. Actually, sorry, I gotta do the box randomizer. So again, if you bought two more teens, you have a chance. So Brian with two, that's an entry. Cassie with two, that's an entry. David with six, that's three entries. David, Freddy with one, Jeremy with one, John then you got one, Mark with just one, Matt Buckley with just one. Mike Gallucci had two, so that's two entries, or four, that's two entries I should say. Mike Tau with four, that's two entries. Steve Wright with two, Waltz with four. So there you go, out of a possible 15, we got 13. There you go. Roll the dice, it is a two and a three, three and a two, sorry, five times. Number one, get to free box. One, two, three, four, five. Boom, Mike and Gallucci out there five times, three and a two, congratulations buddy. We'll send you that box ship sealed. Now I appreciate you guys, JaspiesCaseBreaks.com.