When we travel to different places, we experience various emotions, the beauty, the best and the worst situations over there. A travel photographer needs to make his best efforts to capture all these at right time and angle, for which the technical skills, the practical knowledge and keen observation is required. Creative Heart Institute of Photography provides these technical skills and practical understanding with the key factors to learn, express and explore both in travel as well as in photography. Let's see further in this video all about travel photography course offered at Creative Heart Institute, the course duration, how to apply, eligibility to join, facilities provided and much more. Welcome back to Creative Heart channel, an exclusive platform to know more about photography. Creative Heart Institute of Photography offers professional diploma in travel photography course, apt for all those who love to travel and explore the world through their camera and capture those special moments, attractive landscapes, varied nature, expressive eyes, emotional faces and a lot more. The major part of travel photography course is photography, videography, editing and travel. More precisely, travel photography course is offered here with 15 important sections that are 1. Mastering your camera, 2. Understanding of photography, 3. Understanding of lighting, 4. Visual literacy, 5. Mastering of travel photography, 6. Travel photojournalism, 7. Travel video journalism, 8. Professional photo editing and designing, 9. Video editing, 10. Language and communications, 11. Field visits and photo walks, 12. Travel photography tools, 13. Preparation of professional portfolio, 14. Digital marketing and 15. Career guidance. Travel photography allows to explore different genres of photography through it, such as street and documentary photography, black and white photography, portrait and people photography, event photography, art and culture photography, nature and landscape photography, architecture photography and even wildlife photography. Limiting yourself inside the walls is not meant for photographers, at least not for the travel photographers. Traveling is the best way to capture the real essence of the places and the people. And travel photography tools makes all these possible. Here in Creative Her Institute, travel photography course is designed and structured with various photography tools organized comprising of national and international tours. To start with, students are taken for different field visits and photo walks in Kerala, such as to different districts like Kottayam, Trishur, Karnur, Kasarkot, Alapura, Patnitta, Kuchin, etc. This allows them to capture the events and occasions like boat race, Atta Chamem, Puli Kali, Pagalpuram, Kumatti Kali, Erumeli Petta Tullal, Kadakali, Thayyam, Kodangallur Baharani, Kidangur Subramanya Temple, Ettimanur Mahadeva Temple, Padeyani, Kumaragam, Vagaman, Munnar, Fort Karchi, etc. Students are also arranged outside Kerala, such as to Mathura, Agra, Varanasi and Kumbh Mellan Uttar Pradesh, Bhuvaneshwar and Puri in Orissa, Tanjabur, Vellankarni and Dhanushkodi in Tamil Nadu, Jantar Mantar, Jaipur, Udaipur and Pushkar Camel Fair in Rajasthan, Little Run-off Cutch, Dasada, Dhari, Pawagad, Champaneet, Tarnetar Fair, Uttkhandeshwar, Sarkej Rosa, Adilajwav, etc. in Gujarat and various other locations in Delhi, Chathasgarh, West Bengal, Maharashtra, Andhra Pradesh, Karnataka and so on. This makes them confident enough to communicate with the people, apply their photography skills and effectively capture the best. Each and every place in this beautiful world has a unique specialty and a different story in itself. Thereupon, the international photography tools are arranged, which in turn provide a varied experience for all, like in Masa Imara, Kenya, Tanzania, Africa, Bhutan, Switzerland, etc. All these educational tools develop a leadership quality, team spirit, adjustment and acceptance in every individual and when people with similar interests travel together, they create much more magic. Apart from these, Creative Hut Institute of Photography offers major three facilities for the students. First is, Creative Hut follows the gurukul way of learning and provides the staying, that is accommodation and food in the campus. Second is, the college campus comprises of four acres of area that helps students in practicing photography in the outdoor natural lighting. And third is, Creative Hut provides students with a platform to showcase their works and portfolio both in photography and videography, in the form of exhibition, social media, website etc. Creative Hut maintain the official YouTube channel Creative Hut Institute and official blog www.creativehuts.com for the same. Any candidate with a minimum qualification of 12th grade or higher grades can apply for the course. To join and apply for travel photography course or to know more, contact us, visit our college campus or visit our website www.creativehut.org for more photography articles, tips, tricks, portfolio and much more visit our official blog www.creativehuts.com. Subscribe to our channel Creative Hut Institute and stay connected. Click on the bell button for the notification on latest videos. Feel free to like and share. Until we meet next time, stay safe and healthy. Bye Bye.


This is the SF Productions Podcast Network. That wonderful TV here, 1994, goes on. From the Pop Culture Bunker, I'm Mindy. And I'm Mark. You can check out our audio podcast, How I Got My Wife 3 Comics on iTunes, or on our website, sfpodcastnetwork.com. Well, we didn't get through all of those shows from the 1994 TV Guide Fall preview issue, so let's jump right back into that. On Thursday, we had My So-Called Life on ABC, The Poster Child, along with Firefly, for Cancel Too Soon, and a show that made Claire Danes a star. She plays Angela, a moody adolescent, finding her way through life. While there are adults on the show, that's Armstrong plays her mother, it's all about Angela and her relationships. Jared Leto plays her on-off boyfriend in his first regular role.  You may know him as The New Doctor on Star Trek Discovery. The series took subjects that would normally fall under the very special episode. Moniker, alcoholism, homelessness, school violence, and made them part of a continuing storyline. It got and continues to get grey reviews and won a Golden Globe for Danes. Unfortunately, it was scheduled against NBC's Thursday Night lineup as well as Martin and Living Single on Fox. As a result, ratings were poor. An online fan campaign, the first time the worldwide web was used for this purpose, pushed the network to renew the show. But when Danes asked me to let go, that was the last straw. The show ran all of 19 episodes. Do South on CBS is a fanciful crime-dramedy from Paul Haguez who would go on to co-create Walker, Texas Ranger and write and produce the Oscar-winning Million Dollar Baby and Crash. Paul Gross plays a member of the Royal Canadian Mounted Police, who is assigned to the Canadian Consulate in Chicago, assigned to work with a police detective played by David Marciano. The show was actually shot in Toronto. This was part of a growing trend to reduce show costs. The show won a ton of Geminis, Canada's Emmys, and its cult status created fan conventions a la Star Trek. CBS canceled the series after a single season, but international success, the highest-rated Canadian series ever, resulted in three more seasons abroad, with a few episodes returning to CBS later. Now here's a show you might have heard of, Friends NBC. As we noted in a recent episode, test audiences of the pilot found the characters smug, superficial and self-absorbed, the focus on Gen X characters too narrow, and the show not very entertaining, clever or original. They found the coffee house setting to be confusing. Despite all that, NBC gave the show a shot. It would go on to run for ten seasons in the top ten for all of them. The final episode in 2003 was watched by 52 million viewers, the fifth highest finale in history, and the most watched episode of the 2000s. It made the six main characters, multi-millionaires, each get two percent of the one billion dollar annual syndication revenues. One of them, Aniston, a movie star, another, a director, swimmer, and the other's TV stars of various success. The show also had a seismic impact, writing the will-day or won't-they trope into sitcom DNA and moving Gen X characters into the spotlight. The show has become comfort food in the pandemic, so it was a good call for HBO Max to pay a nine-figure sum to wrestle streaming rights from Netflix. McKenna ABC, Chad Everett returns to TV in a drama about an outfitting business. His son, Brick, era close, later of Without a Trace and Nashville, takes over after his brother's death. Brick's sister, Cass, Jennifer Love-Hewitt, comes in to help. The show never caught on, CBS gave it three weeks, then burned off two more the next summer with eight never aired in the U.S. New York undercover on Fox, technically a part of Dick Wolf's Law and Order Universe, although being a Fox series, it's hard to tell. It also dealt more with the personal lives of the cops involved. There was a lot of cast turnover during the fourth seasons of the series. Jesse L. Martin and Ice-T both played criminals on this series before going on to long runs on the main Law and Order franchise. Over the last two years, there has been talk of a reboot currently gestating at Peacock. Matt Man of the People, NBC, Dabney Coleman takes a third swing at the sitcom star you love to hate concept. This time he plays an outspoken columnist, now working for his daughter Cynthia Gibb, as she tries to freshen up the paper's image. The show actually did very well, number 12 in the ratings, but it lost a lot of audience from its lead-in which was Seinfeld, which then also impacted the numbers for ER which followed it. As a result, NBC candid after one season. It was replaced by another series moving over to Thursday called Friends. The LA Times called Man-Man one of the fall season's least likable new comedies. Chicago Hope on CBS, one of two medical series that premiered against each other. We'll get to the other one in a moment. Created by David E. Kelly and set in a private hospital with a large cast. Mandy Patankin, Hector Elizondo, Adam Arkin, Peter Berg, Jane Brooke, Peter McNichol and Christine Lottie just to name a few. During six seasons, there was quite a lot of cross-pollination within the show's characters appearing on Picket Fences, Homicide and Early Edition. Several actors went on to CBS's NCIS and Patankin to Criminal Minds. The show has the honor of broadcasting the first regular series episode of any series in HD in 1998. It won seven Emmys and a Golden Globe but fell under the shadows of… ER and NBC also set at a Chicago hospital. It was the longest running medical series on US TV fifteen seasons until Grey's Anatomy came along. There's a huge cast with Noah Wiley, Laura Inns, Maura Tierney, Goren Viznick, Anthony Edwards and Eric Lissalle in more than half the episodes as well as runs by Alex Kingston, Sherry Stringfield, Juliana Margolies, Linda Cardellini, Ming Na-Wen, Gloria Rubin, John Stamos, Kelly Martin, William H. Basie and Angela Bassett. Oh, and this was the series that made George Clooney a superstar. Ironically, Clooney's first regular TV role was on a sitcom called ER. This series was based on a Michael Crichton screenplay from the 70s, which only turned up after Jurassic Park made him a hot commodity. ER was in the top ten ratings almost immediately and number one for three of them and stayed there for ten of the fifteen seasons. In a prescient move, all episodes were shot in widescreen, despite not being broadcast in HD until Season 7. It would go on to win 22 Emmys out of 124 nominations. It would take until 2018 and Game of Thrones to surpass that nomination total.  After losing a lawsuit against the police department, why does that sound familiar? He built an exoskeleton and body armor, becoming a vigilante. By the way, Mantis is an acronym for Mechanically Augmented Neurotransmitter Interception System. He's even got an underwater lab and a flying car slash submarine called the Chrysalis. Sam Raimi produced the series, which included multiple African-American actors in the pilot, including Gina Torres. But the network recast the series with mostly white actors apart from Lumley. Roger Rees was brought in as his cue. The show didn't do well, and a lot more fantasy elements were added to no avail. The series lasted a season, with the title character sacrificing himself in a near future. This sounds like a good choice for a reboot. Yes, yes. Under suspicion on CBS, considered to be an Americanized prime suspect, the show starred Karen Sillis as the only female detective in a Portland, Oregon police squad. Despite good reviews and praise for Sillis' performance, the show only lasted a season. Sillis went on to TV movies and a few films not getting another regular role into 2005's Wanted. So let's recap. In 1994, out of 28 new series, there were six hits which were defining as lasting more than one season. 35, Touched by an Angel, Friends, New York Undercover, Chicago Hope and ER, and 22 misses for a 21% success rate.  I watched Chicago Hope when it was on. I had to go back and rewatch ER later. I don't know if you remember that. I think I do. Yeah. I think my friend Janet said ER was good, so I went back and watched it after Chicago Hope wasn't on anymore. That's what, hey, what's that? Yep. You can do that. And now you can watch almost all of them somewhere. Yeah. Except you can't watch the Dick Wolf stuff. Yeah. This is annoying. Yes. Dick Wolf, we should have his own streaming service. Well, that's what Peacock is going to be. They ever get around to it. Yeah. So while you're waiting for Dick Wolf to start streaming, you can check out our audio podcast, How I Got My Wife to Read Comics on iTunes, or on our website, sfpodcastnetwork.com. From the Pop Culture Bunker, I'm Mindy. And I'm Mark. Thanks for watching.


Ut is more important to be succesful in life. Talent or luck? The ancient Roman philosopher Lucian Neosenica in the first century after Christ say that luck does not exist, it just exists the moment in which talent meets an opportunity. Several centuries later, during the Italian Renaissance, the philosopher and historian Niccolò Machiavelli judged that luck is the arbiter of half of our actions, but it lets us govern the other half. More recently, the statistician Nassim Nicolaus Taleb tried to show in his best-selling book that we always tend to neglect the role of chance in our life and that very often luck matters more than talent. So, who is definitely right? Serica or Taleb? What matters most? Talent or luck? We received the prize for a simple theoretical model which explored the role of talent and luck in getting success. The paper appeared in 2018 and was immediately noticed by the scientific community and also by popular newspapers like Forbes, Sunday Times and many others and became actually very popular. As any other human teacher also talent is normally distributed across a population. This means that talent is distributed as a Gaussian with a given average and you may find more or less talented people and the difference in their talent stays always within a given standard deviation. We know that wealth is accumulated and distributed as a power law distribution and therefore we started in our model by asking how is it possible that a normally distributed variable ends up in a power law distributed result? The TVL model brings together three main ingredients, talent, luck and the so-called rich-get-richer effect in order to reproduce the dynamics that leads to success in our life. We simulate a population of 1,000 individuals or agents placed in fixed position in a virtual world and exposed to a certain number of randomly moving lucky events represented by lucky green points and accidents represented by unlucky red points. Each individual has a given fixed talent expressed by a real number between zero and one randomly chosen within a Gaussian distribution centered in 0.6. In our model talent represents the probability of exploiting an incoming opportunity. The context in which we live every day is then the place in which we go and find the opportunities that we can try to exploit and our ability to exploit them is of course proportional to what we have as a personal talent. Each individual has also an initial level of capital representing success which is set to 10 arbitrary units equal for all the agents. We simulate 40 years of individual lifetime. Every six months we check if some green or red point falls inside the narrow circle around a given agent. In this case we applied two simple rules, an opportunity can be transformed by the agent into a doubling of his capital with the probability equal of his talent thus simulating the rich-get-richer effect. An accident just produces an halving of the capital regardless of talent. The first important result is that even with these very simple dynamics at the end of the simulation we are able to reproduce the Pareto law that is an asymmetric fat-tailed power law distribution of capital with a great number of poor agents and only a small number of increasingly rich individuals. But the other interesting result is that talent and capital seem to be absolutely not correlated. In fact the most successful individuals with the final capital of more than 500 units have a talent just around the mean. While the most talented individuals always end the simulation with a very small capital close to zero units. So we find basically that individual talent is a strictly necessary feature to be a successful person. Unfortunately the talent is not sufficient to get the final result. Success seems to be very correlated with luck.  While the less successful agents are also the most unlucky ones presenting a great number of accidents. And in science is well known the phenomenon of serendipity. That means the scientist is looking for something that he had in mind but he finds something else completely unexpected. And this is very important in science. For example Fleming discovered in 1928 penicillin because he left he forgot the windows of his lab open and when he came back he found that some spores that had entered from the windows contaminated his dishes and he realized that they killed several very important bacteria. Thus the take-home message of our study is that even if from a micro point of view a talented individual as by definition a greater a priori probability to reach a high level of success than a moderately talented one on the other end from a macro point of view the a posteriori probability to find moderately gifted but very lucky individuals at the top level of success results to be greater than net of finding very talented but unlucky ones. The context in which we live is responsible is partly responsible of the success that we can accumulate in time because it's the set of opportunities that we meet that can give us the chance to exploit them just doing our best. We also explored several redistribution strategies in order to give an initial capital to these agents that we simulated in order to see which was the best strategy to let the most talented people to emerge and we saw that actually these are not what frequently used today that means those that give hours and funds only to the top excellent agents because those according to our results are only the likeiest one and in fact in order to let emerge the most talented people you need to redistribute resources periodically in a random way if resources are limited or in a egalitarian way likely also due to our study several funding agency in the world and in particular in Denmark, Germany, New Zealand and also UK as reported by a very interesting nature editorial are starting to fund small research projects in a random way. It is correct that in our communities we somehow try to repay the context where we live that's the reason why the taxation on income is correct and in a way the progressive tax scheme is more correct because the opportunities that we have exploited must be somehow repaid and we have to give back to the system a part of what we have accumulated because this accumulation it is of course done by means of our talent but because by means of our talent we exploit the opportunities that we face this is immediately evident when one thinks about some example think about people in less developed countries they don't have a very wide set of opportunities and many of them cannot go out from their poverty because even if they are talented they have no occasions to exploit looking at our results one might think that okay so luck is so important then i stop doing things and wait for luck events this of course is not true i mean what our study says is that you have to look for lucky opportunities so you have to move to get out of your comfort zone meet people travel and only this way you can just improve the possibility to get lucky opportunities in other words in order to win the lottery you have to buy the tickets


We are with us Johan from Norway who has drawn his game against Bida now Johan it seemed like you were doing pretty well out of the opening a draw with Widdler is always a good result but maybe a bit bittersweet here yeah it was a very complicated opening and he kind of misplayed and I think he forgot some of the lines and then I was better a bit better but I didn't expect to win no draw I mean he's so strong so but I'm still very happy with the draw right you're obviously when you're going to play against Bida you're not you're trying not to think about the result but looking at your opening it seemed really crazy how much of it was preparation I know it's maybe like 10 moves yeah it wasn't so very much but he played the line that was kind of non theoretical and coincidentally I knew the line so I was kind of lucky at what point did you start feeling that this position is better for you I mean when he played this plan with Rukh Vibhan and B4 I thought it was completely fine for me and when he played like Nitex D5 I don't know which move but but then I thought I was slightly better and then when I won the pawn I thought I was even more better but he has chances so it was never a clear win so it's fine right you were a pawn up but it was complicated like you said now for a lot of audience watching it even the final position you're a pawn up can explain your decision of not playing on there yeah I thought I thought I was much better one but when he played King F1 I thought I saw that he could play Rook C3 and then Rook C5 and if I'm not careful I might lose so I thought it was the best to just agree to a draw even though I was maybe some slight chances but okay the final position is probably just wrong with correct play so and also if he if I play carelessly he might even win my F-pawn and then okay I will be mad right like you mean this idea of F5 Bishop 8 6 F5 was not working at the end because if you're able to get Bishop 8 6 F5 F4 you have some chances there yeah if I try the F-pawn for the D-pawn of course I'm much better but he can block it with E3 and then his knight on C6 is quite strong so I didn't really see any point to play on all right well thank you still a great result against Peter and wish you all the best


Hi everyone, Joe for jaspyscasebrakes.com coming at you with 2019-2020 Panini Contenders Basketball Fat Pack Break number two, which sells out the opulence. So that's going to be coming up in a separate video after this. Top 15 names are going to win a spot. So as always, we're going to do the break first and then with a new dice roll, we'll see who wins those spots. Big thanks to these folks for getting into the action. There are teams right there for the Fat Pack Break. Let's roll it, randomize it one and three, four times for each list. One, two, three, and four. After four times, Danny down to Michael. I certainly hope so, Dan. I certainly hope so. All right, one and three, four times for the teams. One, two, three, and four. This is just for the quick little pack break right here. Spurs down to nuggets. This is a current draft class, 2019-2020. So you can still pull like Zion rookie cards and John Morant rookie cards out of here and see what happens. Here's the first half of the list right here. Robert, Miami Heat. That's a good team to get to. There's the Pelicans for Shay. And where is Memphis? There's Robert Runkle with Memphis down here. I'm not going to read off all these names for the, got to save my voice for the break itself, but let's sort by column B. So I'm not going to read off all these names. I'm just going to dive right in. All right, good luck, everybody. I think that is, that's a pretty cool right there. That's the green foil. Parallel. A couple inserts. Anything, some, some Anthony Davis champion. I don't think anything too exciting here. All right, so no, not much there, but, but let's see. Kevin with my Lakers, Go Lakers. What a, what a win for them. Bringing a title back to LA. And Robert Runkle, you'll get that green foil. Giannis right there, which is pretty cool. He's pretty good. All right. So, well, the whole point of this was not really for that, but it's really to see who's going to win those opulence spots. So from Shay down to Jeremy 33, let's get your names in here. Let's roll it and randomize it one and a four or five times. So it's going to be top 15 after five good luck. One, two, three, four and fifth and final time after five from 16 down to 30. Appreciate it. Thanks for trying. We'll get him next time. And from 15 and up, Shay, Jeremy, Greg, Russell, David, Shay, Robert, Robert, Robert, Kevin, Oliver, John, Robert, Jeremy 33 and Robert. Congrats to the top 15 right here. You're in opulence coming up in a separate video right after this. Jasper'scasewrakes.com. Bye-bye.


This is a flight booking website called fairboom.com and this is a fair forecasting feature. What this thing does is predict flight prices using a sophisticated machine learning algorithm. It helps travelers make buying decisions, should they buy now or later. But wait, why is it necessary to predict flight prices in the first place? And why do they constantly change? American Airlines, the largest U.S. carrier, can change about a half a million prices every day. And sometimes, the prices for the same service class on the same flight can rise or fall multiple times within several days. So, what's going on? Obviously, airlines try to maximize their profits, just like any other business does. This means that carriers have to sell as many seats as possible for a flight and, at the same time, for the maximum price. It's inefficient if an aircraft takes off almost empty with a couple of expensive tickets sold. And it's also inefficient to occupy the entire aircraft, but for the lowest cost per seat. That's why airline revenue managers engage in a balancing act between finding the highest price and filling as many seats as possible. To reach this balance, airlines must first understand their customers. Carriers track traveler purchasing behavior, assuming that they are divided into two major groups, leisure and business travelers. And it looks pretty straightforward. Leisure travelers are sensitive to prices and plan their trips in advance, sometimes months before departure. So, you have to sell cheaper tickets to leisure travelers and do it earlier. And this will help you fill more seats. Business travelers, on the other hand, need more flexibility and usually book days before departure. You'll have to increase the prices as the departure date approaches to efficiently capture the business segment of your customers. As the fare is employer-funded, business travelers don't care as much about cost. Not a very precise approximation of the customers, right? But if you look at the general smoothed-out trend of any airfare, you'll see this logic in action. The fare remains about the same for months before a departure. Then it starts growing in multiple distinct steps. These steps are caused by advanced purchase discount requirements. If you fail to purchase a flight at least, say, two weeks in advance, the minimum fare remaining will get considerably higher for the same service class, whether it's economy, business or first class. Usually a flight has multiple step increases as fares rise towards the departure date. This difference between fares helps divide leisure travelers who spend less and business travelers ready to pay more. However, the prices also dynamically change regardless of discount requirements, as airlines utilize another strategy that adds more peaks and valleys to this graph. Imagine there are 50 economy class seats on the aircraft for a given flight. Even though these seats belong to the same class, an airline doesn't want to sell all of them at the lowest cost, nor at the highest cost. Carriers divide all those 50 seats into multiple fare groups or buckets. For instance, there will only be five seats at the lowest fare with minimum services and smallest bag allowances. Once these five seats are sold, the fare bucket is closed. You can no longer purchase a seat at that bargain basement price. But 45 seats with more services in bag allowances are still available at a higher cost in other buckets. They start filling up and then gradually close. Prices go up no matter what as travelers purchase seats from higher fare buckets until the aircraft is fully packed, right? Nope. Sometimes the prices go down. If the only price direction was up as buckets filled, this would mean a lot of lost price-sensitive customers for airlines. And there wouldn't be the need for sophisticated machine learning algorithms to predict fares in the first place. Travelers would just have to purchase flights as early as possible. Besides gradually increasing prices, airlines track demand. How fast do those buckets get filled? Imagine you've sold five seats from the first bucket in a week, but then only a single traveler purchased the seat from the second bucket next week. If fewer people start buying out seats after a bucket or two are closed, the lower fare buckets may be opened again to invite more price-sensitive customers. Some of the available seats from higher priced buckets would then move to the reopened lower bucket. And this works in the other direction as well. If the aircraft starts filling up too fast, the airline may close low fare buckets to get more revenue, or even to prevent some people from buying these seats. Because there must be some room available for business travelers who will purchase their flights at a much higher cost right before departure. Advanced purchase discounts and fare bucket motion are the two main drivers that complement each other and cause most of the price changes at airlines. And because demand dictates pricing logic, it may seem opaque to the average traveler since only the airline revenue manager knows what's going on with current demand and how fast those buckets fill up. But there are even more factors that impact dynamically changing prices. The fares within buckets can also change in reaction to various external conditions. If the cost of fuel increases, this may cause the entire base fare to rise as well. On top of that, airlines consider seasonal trends. If there are more people who fly for summer vacation to some destinations, the set of fares will be adjusted to this trend. This also happens if demand is likely experienced in interval increase at a specific destination. For example, Super Bowl or a rock festival will trigger revenue managers to manually increase fares as higher demand is anticipated for these dates. And finally, if some low-cost airline or other competitor opens a new flight, the competing flights will get cheaper, even at traditional airlines. This is how dynamic pricing at airlines works today. But things may change in the near future. The current pricing strategies that airlines use are based on broad rules. The simple idea behind these rules is to sell cheaper tickets to leisure, price-sensitive travelers, and sell more expensive tickets to business travelers that don't care that much about prices. This straightforward logic has worked for years. With the arrival of new technologies, the old methods started aging fast. The past understanding of one traveler being price-sensitive while the other is not is very limited. There are many more nuances, and airlines realize that. But the distribution model in which travelers purchase tickets from travel agencies puts blinders on carriers, leaving them guessing exactly what their customer looks like. They mostly judge by demand and time of purchase. On the other hand, by directly interacting with customers, carriers can get a more granular and detailed view of the actual person looking for a flight. What other flights are they looking for? How often do they check prices? Which links do they click on? If airlines manage to tap into this data, they could use more advanced AI systems that define fully personalized prices. Since 2012, airlines have been slowly embarking on a new data exchange standard, new distribution capability, or NDC. It will allow airlines to receive more personal and detailed data about their customers and eventually tweak existing revenue strategies. This may render such tools as Fairboom's price predictor obsolete, as fares will be adapted to each individual traveler. The question is, are travelers themselves ready for such a change?


So, ladies and gentlemen rise and shine warm welcome to the module 146. Here we are going to discuss about the causes for the interest in the corporate entrepreneurship. Why we are using the word causes for the interest in corporate entrepreneurship. Here we go. So, understanding the corporate entrepreneurship or internship is a process used to develop a new business product, service or process. Business, product, service. Always focus on process. Why I am saying this? If there is no process, if there is no procedure, if there is no policies and procedure, if there is no rules and regularities, if there is no tools and tactics, there is no procedural business product. Your product cannot lie. Your process is wrong. Your system cannot come. You will steal and replicate things. I have given you an example. In the business ideas, the startups who initiate the business, they focus on the process. Then there are the reactives. The reactives, the reactionaries, the market reactionaries, they keep on replicating things. Let us take an example of Steve Jobs. But no one sees the process of Steve Jobs. How many micro levels did he discuss with his friends? And then he refused them. Five of his friends were often upset. Then he used to bring them. He used to bring chips in the microns. Then he used to make small things. The interesting thing is that Steve Jobs was not an expert of computers. Same as the 21st century legend of the digital market space, Jack Ma. He could not even use a computer mouse. But how did he do such great innovation? That is the idea. They work on procedures. They work on human management. They work on human resource management. They work on the headhunting. They work on the technical expertise of the people. If I make it easy for them, it is people management. Then the one who want to have the corporate entrepreneurship must have the knowledge of the... and he must have the art of managing human and managing human capital. He cannot use human capital. He cannot run the corporate.  Now understand that inside of any existing organization to create value, generate new revenue growth through the entrepreneurial thought and action. And then the corporate entrepreneurship is the one method of stimulating and then capitalizing on the individual in organization who think that something can be done differently and better. How can it be the better thing? For the successful corporate entrepreneurship, those within the firm who are aware, encourage, nurture, develop your behaviors and then consistently develop your firms. And then typically the analytics starts. In analytics, if we look here, an awareness of what corporate entrepreneurship call for in terms of behavior on the part of individual permits and analysis of choice. Typically organization members compare and evaluate the opportunity cost of engaging in entrepreneurial behavior with those of either not doing so or engaging in other business. Thus linking corporate entrepreneurship activities to strategy and process is important. So processes must, as I am focusing on the process, whatsoever it is, the process must be the vital issue for you, vital prospect for you, vital focus for you because as long as your process and procedures are not there, then your corporate entrepreneurial ventures will be difficult to materialize. Thank you very much.


In this paper, we proposed a novel semi-supervised cross-session EG Emotion Recognition Framework called JCSFE. The framework consists of two main components, one, exploring label common and label specific EG features, two, exploiting the data local invariance property. We conducted experiments on the seed4 and seedv data sets and compared our results with other state-of-the-art methods. Our results show that JCSFE outperforms all other methods in terms of accuracy and robustness. Furthermore, we provide a quantitative analysis to identify the label common and label specific EG features. This article was authored by Yongpeng, Honggang Lu, Junwali, and others.


So hello, I'm Amy Caster. I'm an independent reporter and we are here in Lisbon where IOHK is having its annual company summit And I am joined here today by Robert Vaglione co-founder of Zencash and Charles Hoskinson who is the CEO of IOHK and the reason we have them both here together is because Zencash and IOHK have entered into a research partnership and We're going to learn a little bit more about what that is it involves a Treasury system and Implementing what's called a directed acyclic graph protocol so Charles you start by telling us little boys at a partnership. Is it a research partnership? What exactly is the relationship that IOHK has was then cash, right? So it's important to understand the history and how we got to where we're at. So it started Last year when I had a chance to meet Rob and his wife and Rolf and many others on the Zencash team And we really really enjoyed talking to them working with them Basically just answering questions such as you know, how do you grow a cryptocurrency? How do you grow community or should the science go? Where should the development go and so forth? So they invited me to be an advisor And I of course accepted because I thought it would be awesome to collaborate with them It's a pretty good decision. Yeah, it was it was a lot of fun And actually we've already had a heck of a lot of fun and Rob has gone all around the world chasing us about it I think Ukraine and not here in Portugal. I'll take what I can get There we go. So that was a that was fun So then then we started opening some discussions about going beyond an advisory role and Helping Zencash figure out where it wants to be as a as a cryptocurrency in particular on the research side One of our core competencies as an organization is our ability to to speck out from business requirements or real-life problems Where does the science need to be to actually verify that these things get solved? So there are things like how do you make Zencash a currency that has a very high throughput and it could actually be used as a Cash, you know can actually be used for 10,000 20,000 transactions per second over an arc of time and be useful in In the browser setting and other things like that There are things like how do we enhance and grow the privacy guarantees upon which Zencash is constructed And also how do we make Zencash more sustainable as a protocol? So these are things like treasury components and so forth and these are areas that I which K as a company is is quite interested in And we have a research agenda for But we as a company don't pursue intellectual property We don't pursue patents and most of our work is done within the academic circles So these are papers so there's no reason why this can't be shared or in some cases custom Localized for particular projects like Zencash So we were really keen to collaborate. The other thing is that Zencash already has a treasury system It's a system that needs to be upgraded and evolved over time But we we wanted to do a deal where we instead of working with a company or a person We're working with a cryptocurrency with a blockchain Right, so our first client liked that and we we hope to have many many more So that was kind of the the spirit of the initial agreement. So we we negotiated something out and we're just getting started So so add to that or so so so part of the partnership is implementing a treasury system, right? Right, and and I understand that they'll be using the the same version of the protocol that's been developed by OHK's researcher Ben Cheng, right. Well that yeah, so so he's building out the theory So he's saying what does voting need to look like and what are some of the security properties you need to hold and what are some of the Game theoretic things that you have to worry about, right? So that's kind of like the model then once you have that model There's a question of what does that model mean for Cardano? What does that model mean for aetherium classic? What does that model mean for Zencash? And that's part of what we have to figure out once the model is constructed because it's going to be parameterized So let me ask Rob. I mean, what does that entail? You're going to be implementing a prototype of The this treasury implementation in the first quarter second quarter of 2018. Yes So the prototype we think will be will be ready by probably the end of second quarter If everything goes according to plan in terms of implementing that that will be the next step So we'll receive prototype and we'll make sure that expect, you know Well for our system and then we'll move it to Implementation and then production after that. Okay, so I mean like When do you think we'd have like a fully implementing implemented treasury system on Zencash? And yes, that's a really good question. I mean, yeah, this is purely, you know pre You know, I just kind of early thought that I would say probably by the end of the year So so will this be like the first? I mean there are other treasury systems. We know with like Dash is implementing a treasury system to credit some kind of treasury system where there's actual voting and and taxing the Should we've explained what a treasury system is briefly, you know, we can explain that sure Well, just like briefly that it is both both it involves Voting at first there's the taxation of the system where they take about a 10% of the mining reward or yeah We can get into that. So you have three sources. So first off What is the point of a treasury system is the long-term goal is permanent sustainability? So imagine a cryptocurrency like a government and a government is a collection of departments and each department does something So when Bitcoin was established, you had one compensated department and everything else was volunteer So for consensus, that's the mining side totally paid for a great But for moving network messages for doing development for doing marketing for setting up companies for evangelizing all these things Completely volunteer and not compensated. So people like Dash bit shares Decred pivots and cash others have adopted the philosophy that maybe Some of these other buckets need some fair share funding as well from wherever this funding comes from So the next question is where does that come from and then who gets to decide? Those are the two other questions. So you have three ways you can fill that bucket one way is through inflation So you just print more money. That's what Bitcoin does to pay miners, you know block rewards So it started at 50 and then it went to 25 and now it's 12 and a half and it decreases by a factor of two every four years Another way is to take a proportion of transaction fees So instead of taking all the transaction fee and giving it to the miner You take a percentage of it you put it into that bucket or in other ways donations where people just put money in Problems donations as well. They're the purest form and they're the most consensual the issue is that they tend to be inconsistent Unreliable problem with transaction fees is that they tend to be not enough to sustain the system unless you have a huge Scale system with tons of stuff going on. So generally inflation is the predominant model So what does that look like in practice? Usually what you do is you say okay instead of giving 20 coins or 30 coins per block to the miner. We're gonna give 16 coins or 24 coins the miner We're gonna take that small sliver that we don't and put it into that bucket Okay, but this one I mean by parameterization. So we when we construct out this model We we say okay, here's how the voting works Here's how the treasury ballot system works But those parameters of what where the the filling of that bucket comes from is tunable And that's a decision Zen cash gets to make and Ethereum can make and Cardano can make and so that's interesting Why wouldn't you why wouldn't Zen cash go ahead and implement something a little bit simpler? Why are you taking this, you know broad-spec to do something? Yeah, no, that's exactly Why are you taking the step up then to liquid democracy? Yeah Oh, we think that that's just the future and that's the way these systems should go because the current models Which is very inefficient, you know, so we want to constantly improve and we just had this empirical mentality of you know Kind of put something on the mark out there, you know Test it see get feedback from the market from the system see how they're performing and then try to improve them And constantly improve them. So what we found here when we first read That IOHK white paper for the treasury system blown away because this is just a very elegant implementation of our core technology with Zero-knowledge cryptography and a game theoretic framework that improves and optimizes voting systems So this may not be the final system that you know We have as an industry, but this is a huge step up kind of like a step function jump up in technology You know and mingling technology with economics and I think in a way that will be very impressive for the market And for IOHK it gives you a chance to kind of test out this protocol in a real-world Situation the first time it'll be used in a cryptocurrency Yeah, well we plan on putting it in Cardano as well And our hope is to turn us into the IOHK reference treasury model So we're going to put it into many different cryptocurrencies ideally. I look at these things like the mechanisms of governance I don't think that should be a competitive differentiator for cryptocurrency I don't think we should look at sell well, you know Dash has this or Decret has this of course There's going to be differences But ultimately they should be using best available tools and then it should be other factors that Determined whether the cryptocurrency successful or not. So in my view, I'd like to build the best governance model I can think of with the best people and get it in as many crypto currencies as possible Because that overall increases your overall amount of funding available for research for development and for growth So does that does that mean this is going to be like an open-source protocol this Treasury system that any of the Cryptocurrencies can go and just kind of grab out of a bucket right put it into their Exactly, and that's what that's what we've done with prior projects For example, we worked on the Scorax project for I think now more than two years and we continue our commitment And Scorax is a modular open-source framework for building crypto currencies And it's already been used in several projects the most notable of which is waves where they forked it And they put their own magic into it and now it's something that's floating around the space So similarly, I'd love to do the same thing is to create a treasury framework And then other people can take that and build on top of it. That's a really interesting concept I don't know that I've heard anything quite like that before But but so so basically all the cryptocurrencies all these projects should be kind of keeping their eye on Zencast to seeing how this works In case they may want to implement a Treasury system right future and it sounds like it would make so much more sense to It's it's open source. Why not take this one and use that rather than starting from scratch and doing your own, right? It's battle-tested and it also it's Research this is the first battle Yeah, but it takes transparency and just kind of like good ethics to the next level in this industry And I think that's something we really have to start self-policing and when you have a system that kind of Dissociates, you know the funding allocations from the decisions of specific people So it makes these systems just much more fair on its transparent And then you have to wonder why would other projects not adopt them, right? Right because then this is almost kind of like a signaling equilibrium in the market where you can see projects are taking this you know Hyper transparency route with things being kind of more Systematized and fair and then you have other projects that remain opaque and kind of have discretionary authority over funding allocations You wonder why well Why wouldn't a project want to do something like a Treasury system because it's so difficult to get? You know VC funding yours worried about whether VC is gonna have some can say something to say over the project and Ico's well, we've seen what kind of problems those have and nobody knows what's gonna happen the regulations and if you get donations Well, you just can't really count on that. You know, right? It's like public radio Practical reasons why you wouldn't want to do that a a because First maybe you don't believe the technology is there or be you can't figure out how to balance economic incentives The biggest thing in all of these types of governance models is that voting is difficult democracy is difficult It's you have to have an incentive to participate, right? There's this idea called rational ignorance It's well understood in the economic circles where the cost of becoming informed on something is More than the value you gain from being informed. So the rational action is to stay ignorant on that issue So if you look at the United States, for example, we have these really complicated things like Medicare and social security and the federal budget and informed policy And and you can literally go get a PhD and spend your entire career studying just one of those things more accurately one dimension of one of those things because they're multi-dimensional and The vote you get is identical to the crazy hobo on the side of the street that things aliens are coming tomorrow Right. So when you have a system that incentivizes at that level outside of altruism There is no reason to actually invest a reasonable amount of time become informed these types of things So what ends up happening is people tend to vote for irrational reasons They tend to not vote at all and so participation tends to go down and quality of participation tends to go down So so basically and I've been reading about this a bit too And I think I think this is part of what you're saying that the two biggest challenges in implementing a voting system or one getting Incentive people to vote right they have to have some kind of desire or or get paid or something back for that Oh, there's all kinds of things. It's not just about who gets to vote It's also about what do you get to vote on an example? I love to give a fact that we were a nexus comp together an aspen and I did a presentation there And I said well how many people here voted for either Hillary or Trump and some people raised their hands And I said how many people here wish they had more choices than just Hillary Trump and everybody raised Regardless of the political affiliation. So it's less about Who gets to vote and also you have to consider What do you get to vote on right like how do you actually get on the ballot? Who gets to decide what gets on the ballot and what doesn't get on the ballot? Because that that in itself has a profound impact on the outcome of the election So you need to think about it sentence very carefully the voting class very carefully the balloting process very carefully and Time of deliberation very carefully as well the problem with a lot of voting systems is that we just say go make a decision Here you go, but in some cases it needs to be a very slow deliberate system Well, let me ask let me ask let me ask you all this what kind of things are you going to be voting on? Yeah, so I mean We do have a path in mind for ultimately like even goes back to the question of why are we doing this? All right for because there's always this trade-off between centralization and decentralization, right? if you if you had God making all decisions and This was an omniscient, you know Omnipotent entity that could just do everything perfectly you would want that right, but we don't have that we have human beings Who are imperfect so we decentralized and for us it's extremely important to decentralize because we want to be censorship resistant, right? So that's a whole part of the theme of Zencash is being censorship resistance and and we didn't talk about earlier, but you have this entire this messaging system where You know people can send secure private messages back and forth So we don't have situations like what we just saw in Iran where they they they blocked telegram, right? Because of peace of peaceful protests. That's why we're willing to take the resource You know it this is resource intensive to do this kind of thing And we have trade-offs and we know that we're getting some inefficiencies But we're making what we think is a more open fair system this censorship resistant And we we know that there's some wisdom in crowds and there's also some irrationality in crowds, right? Like Charles just mentioned so we're trying to create a balanced system and we're doing this incrementally So initially what we're doing like I view governance in two almost two stages You've got resource allocation, and then you've got parameter adjustments, right? Who determines the next hard fork and what goes into it? We're tackling the easier of those two problems right now, which is the funding allocation So that's that's what we're doing where we have a treasury funds for governance And we're just determining a better way to implement like so So let's touch on the second aspect of this research partnership between Zencash and IWHK And that is is which is really interesting to me is because I haven't heard a lot about this But you're implementing the the specter protocol. Yeah, well, that's a protocol. We might implement It depends upon at the end of the day the research development the Zencash team's opinion the community's opinion But that's the probably the best of the group that we've seen to start with and a really rigorous inquiry So why do we want to implement something this or what's the need? so one of the easiest ways to get higher throughput and performance with the proof of work system is to take your block interval and Reduce the block interval that means you make more blocks in a shorter period of time Which means you have more throughput you have more transactions per second. So why didn't Satoshi do this? I mean created Bitcoin and he set the original block interval of 10 minutes. So why didn't he choose four minutes? There are one minute or 30 seconds Well, the problem is that the smaller and smaller and smaller and smaller that you make that block interval the higher the probability You have what's called an orphan block. So what happens is Bob who's a minor will discover a block But right around the same time Alice who's a minor will discover her own block And so this group of the network because they saw that block first think Alice's block is right and this group of the Network because they saw the block first thing Bob's block is right So now you have fork you have two versions of the chain and we're not quite sure which version of history is right So how Satoshi resolves this is he said ah, okay? We're gonna have a competition and whichever one of these forks gets a block built on top of it That becomes the legitimate chain and the other one is discard. It's called an orphan block So that block goes away. Okay. Well, here's the problem that Reduces the efficiency of your system because you now have all these wasted resources on this thread Everybody who worked there. So you've gotten less security amongst others theoretical and practical problems So what if you could build a protocol where it's okay to have Lots of these things and they get included in the blockchain And they have some sort of relationship to what ends up being the longest chain But it doesn't throw things down. It doesn't damage throughput or security So this was a line of research that started in Israel under two people obvious Ohara and Yonatan some of And the first paper was called ghost and it came out 2013 and actually we included ghost version of it in the Ethereum protocol So later on what they did is they built up the theory They built up the rigor and they created a new version of the protocol called specter which came out in 2016 And they've been since iterating and refining and thinking carefully about the model And there's likely going to be several commercial products that end up putting Are there any cryptocurrencies right now that are implementing the the now this is a Dicrylic I never directed a cyclic graph. We'll just call it dag Yeah, but but and there are different there are different versions of that, right? I mean, I think there's hashgraph and I don't know and biota bite ball, right? But they're not implementing the specter. No, that's a very different protocol, right? So the one that you're working on like what exactly is IOHK doing in terms of the specter protocol like are you just seeing the feasibility of implementing it? So there's a collection of things that have to be done So the first thing that we have to do is read the paper very carefully. Yeah, it's not easy paper There's 40 pages of math products, right? It's not a that's not an easy paper. So then so then we have to extract from that paper some form of an engineering Specification and then what we have to do is a trade-off analysis and say if the Zencash engineers were to implement this This is what you're giving up and this is what you're gaining These are the security guarantees that you can reasonably have these are the performance enhancements You're going to get etc etc. So that trade-off profile has to be generated and specification has to be generated It's understandable by I mean, this is like a big deal a lot of people understand like somebody writes a paper and they've got an idea And they've got these mathematical Specifications for but turning that into an actual piece of software is you can implement is is a gigantic step Especially if it's a very complex paper that hasn't been simplified a lot if you look at the Bitcoin white paper It's very small. Yeah, very concise and it's a very simple idea. Yeah specter is like this Super complex and really involve really deep and detailed paper that was written from the perspective of a mathematician Not from an engineer. So it's mathematically elegant It has a high degree of confidence that there's some correctness there But it's not something you can hand to a programmer and say I mean, this is what I HKS doing you're taking this 40-page paper and you're turning into something That is like specified. Yeah, that's why you're actually gonna specify it and formally verify it not a formal verification That's a bit beyond the initial scope The first step is just let's write a semi formal specification that an engineer can read that doesn't require gawking 40 pages of math proofs And and then what Rob gets to do is go to his people and say does this make sense for us Or are there other DAG technologies that are maybe lighter weight or have better trade-off profiles than specter? And then we can do that same task for them and then eventually they can pick one and we can help So that's the part I'm not sure about so you're you're developing the protocol that that Cryptocurrency your project can implement but but what so what role does Zen cash play they write the code Well, you're actually writing the right and we need to see if this protocol makes sense for us I mean, it's extremely fascinating. I would say this is the most fascinating protocol out there So so I HKS specifying it, right? And then they pass it on to you and you are using cash is actually writing the code, right? See I didn't understand that before right. That's pretty cool Yeah, we've done our job really really well That should be pretty straightforward for that to know how to do that kind of implementation Also, there's gonna be something you have to give up when you go from theory to practical And there's a well big back-and-forth discussion about what's reasonable to give up just like the parameterization of that Treasury model We can give them a framework We can tell them all the theory but ultimately the Zen cash team has to make a decision along with their community of What are those parameters going to be and what that profile is going to be? It's it's not our decision to make Okay, got it so so but I mean, what do you get out of? Putting all that work into you know creating a dag I mean is that something that you're really serious about augmenting tens of thousands of transactions per second low latency Confirmation times It's basically like an order of magnitude performance. Maybe several yeah, sir. I'm saying a performance improvement Yeah, I mean this takes us we also we call ourselves and cash and across the industry We talk about being used as an alternative currencies, but the reality is most of these systems don't scale very well They don't have high transaction throughput there are issues, right? Right, even even now we have a fairly active chain We have a good amount of transactions already on there for a project that's seven months old We're already surpassing a lot of more mature projects We're already starting to kind of bump up against some every now and then we hit blocks They're like wow this is kind of slow kind of packed, you know, right? We know we have to make this like two three order magnitude jump and an ability if we're gonna be taking seriously as a Transaction mechanism so just so people understand This is like this is like a big problem that all blockchains all cryptocurrencies face This is scalability issue and a lot of people are working on a lot of different ideas on how to fix that So this is this is kind of This is really interesting Oh the way that I see scalability right now in the industry is a lot of projects are looking at parameter changes Which are kind of like linear scaling solutions, right? This would be kind of like an exponential scaling linear or else they're doing things on a chain where they Take and then use the blockchain to settle on but now this is like a completely different concept right and the one thing that I still don't understand and this may be really too Technical to get into here, but there is a big difference between the specter protocol and The existing DAG protocol that's being implemented in the three other projects we mentioned Yeah, and if specter is kind of fine tuned for proof of work Iota and hashgraph is not So that's one of the inspector was made with an attempt to improve Bitcoin like systems in mind So when you reduce block interval, how do we get more blocks out of that? It's okay to have orphan blocks and we have paths of things Whereas Iota is like a completely different notion of how how this ought to work Which is less understood and not really rigorously reviewed as as much as what we've seen with proof of work So the hope is that we can reuse many of the security guarantees that proof of work has already provided But just get these orders of magnitude performance improvement.  Well equi hash Yeah, so this is a big thing for me is you know, like the big difference here like Charles said It's it's really tailored for proof of work system. So we still have blocks. It's just the blocks are arranged in a DAG You know versus transactions being arranged into a DAG, right? Yeah, and so and so that's nice because anytime you can reuse prior results or prior security Then you can usually drop in lots of cool theory there that has been vetted and tested when you're inventing new theory That's a much more ambitious much much Harder thing to do like for example, I would you keep with us or a Boris research agenda? We have invested now a year and a half into building this big lattice of theory At all these papers and we've been accepted at Euro Crypt and crypto and a CNS and financial crypto But we spent literally millions of dollars and we're just now starting to get to a point where we have practicality in our system Whereas when you look at things like proof of work, there's nine years of history here There's there's a lot of good ideas that have been vetted and tested and proven not only in the academic world But also in empirically in the in the cryptocurrency space as a whole so we say if we can just take something that's tested tried and true and Put something like specter in if we get that to work well Then it's the best of both worlds you get those performance improvements But then you can still rely upon prior results and other things exciting as proof of work actually has certain characteristics Which are very hard to replicate proof of stake. We think we have ideas to do that in the or Boris research agenda They'll take months to years to complete But right now we have papers for example our sidechains paper and on an rack of proof of work That's not only a good protocol for sidechains. That's a very good protocol for SPV clients So basically you can get like clients with equivalent levels of security or near equivalent levels of security as a full note Which is just currently not possible popular for impossible for any kind of system with this with Sticking to proof of work. It's pretty straightforward how to drop a system like that into a protocol Even if it had specter whereas if this was done with a proof of stake system It's like a original research thread. It'll take a year maybe two years for us to see if it's even possible to emulate So it's a lower risk more pragmatic way of approaching. This is some really cool stuff And I'll definitely be keeping an eye on Zen cash to see This is what I love work about working with IOH K is if you look at this industry right now Most projects are just kind of hobby shops to just kind of throw something out there and see they can see how it goes IOH K takes a scientific approach to actually doing rigorous peer-reviewed research and then implementing it Implementing incredible products. So this is something that the industry needs a lot more of so working with these guys There's no brainer for me. Yeah We need more of this, right? So this is really interesting. So you'll be working on DAGs specter protocol and Treasuries and what's the future any other collaborations between IHK and Zen cash? Yeah, so IOH K's Recently entering entered the snark space. And so we're very keen to do something interesting there We have a center. We're setting up at University of Edinburgh under one of our research fellows named Markov Cole wise wonderful guy very smart and The lab's goal is to look at snarks from the perspective of both verified computation as well as privacy So we're quite interested in doing things like making them more efficient Reducing the amount of size they have getting rid of trusted setups wherever that's possible these types of things So I see a very natural potential future collaboration there, but more abstractly You know, it's not just Rob and I or a roll for Rob and I or Zen cash and IOH cave And it's more of a community thing where the Zen cash community as a whole can say hey, you know The XYZ are really interesting to us. We'd love for you guys get involved in that We can potentially expand the relationship accordingly, which is what makes this so fun Is that that dynamicism and that back-and-forth that you get so it's not always top-down. It's more bottom-up right? Great. Well, we'll be looking forward to that CK snarks as well. Okay brilliant. Thank you