Welcome to Access to Trader, the number one community for those who are committed to taking control of their trading in order to achieve success, profitability, and longevity. Thank you for joining us. Here's Dan Shapiro to help you find your edge, master your process, and own your future. Hey, guys. Good morning, everybody. Welcome to another edition of the AccessToTrader.com weekend update show. Hope everybody is doing great. Again, I want to congratulate you. If you're actually watching this, that means you survived Thanksgiving. Good for you, man. That's great. It's a blessing. I just destroyed my body, treated it like a roller coaster ride, and it actually had a lot to do. I blame this on Thanksgiving tongue in cheek to kind of having a crappy day on Friday. Usually I don't start off the update because the market has been so good and so aggressive. When you have a shortened holiday session, especially with the biggest travel time of the year, people are traveling to Thanksgiving, it kind of spills over into the action you're going to have. Friday was a direct correlation of understanding when to trade and when not to trade. If you look at the Twitter feed, this was it. There was nothing else to it. This was it. This is actually some of the areas of the nightly update for this weekend. But this was it. There was nothing going on. And if you look at the pivots that we had, and there's a reason why I'm talking about this right from the word go. If you look at the pivots from Friday session, number one, you can tell how slow the day setup was going to be. And we're not talking about MYOV. I don't want to talk about MYOV. We talked about this thing pre-market, MYOV. If it starts building above 18, it can go. And here was 18 on MYOV. Here was the 18 on MYOV exploded to 1940. I didn't take that trade, right? I didn't take that trade. We're not going to talk about 202 on Facebook. Again, you can see there's only a handful of names for Friday session. 202 on Facebook. If it builds above, it can go, right? Facebook is very, very important at 202. So here's the whole sneaky area. Again, if all you guys who've been watching the workshops repeatedly understand the difference between what a breakout is and what a sneaky area of aggression is. And here's the 202 area. 202 area, this whole channel, it broke and exploded. It went to almost 204. I didn't take that trade. So what are we talking about here? Let's talk about this real quick. In certain cultures, for example, in our culture, if you steal something, depending on the value of the item that you steal, you're either going to pay some sort of fine.  Right? It's called theft. Okay. I fail with the dollar number is was a $500 at the consul, consider grand theft, whatever it is. I don't know. I'm not an expert in going to jail and stealing stuff. But you kind of get the point. In other cultures, okay, if you steal something, okay, there is an actual evidence that some of these cultures will chop off your hands in public. We'll literally chop off your hands for stealing something. Again, that's the ramifications for breaking rules. That's the ramifications for disobeying the law. That is your reality.    So there's a tier of craziness in the world of what the ramifications are if you steal something. Okay. In trading, there is a heavy penalty in stealing your entries. Okay. So I don't want to talk about this pivot that worked because number one, it wasn't even in it. I don't want to take this pit talk about this pivot that worked because I don't want to in it. I want to talk about this. Okay. I want to talk about this. So number one, let's talk about what was going into Friday's session. We knew that Friday was a half session. Okay. We knew that there was going to be no volume, okay, no volume because people are still recovering from Thanksgiving and people starting their Christmas shopping, whatever the case may be. We knew that. We knew pre-market based on just this, right? There's nothing else to it, right? Just this. We knew there was no value. Okay. When you're talking about a day that has no value, I always talk about this in any market. Okay. You don't need to trade every single day. You don't need to trade every single week. You don't need to trade. Okay. You want to trade, you don't need to trade. You want to trade, you don't have to trade. Again, when I say this to nausea, especially to new traders, we trade because we get value, not because the market's open. So what I did, okay, and I usually don't do this. Okay. I usually don't do this. I'm incredibly disciplined. And what I try to do, I try to steal in the entry. Okay. I try to steal an entry on Tesla. And the most important part is when you are entering the trade, you have to be perfect. Okay.  Maybe next time you'll get an A. In trading, you need to have that A plus entry. If not, you're going to fail. It's all or none. It's hit and miss. There's no such things as maybe it's going to happen. We're not hoping. We're not wishing. We're not, you know, we're not, you know, hoping and praying to God that it's going to work. The point of discipline, okay, the point of trading is to be as perfect as possible. No trader's going to be perfect. Okay. No trader's going to be perfect. We have our humanity blame for it. We're flawed as human beings. Okay. So it's going to spill over into our trading. Usually I'm incredibly disciplined and I'm Friday knowing that it's a shortened session. There is no value. There is no volume. There's nothing for me that I need to do. And not only that I entered this trade wrong. Okay. I knew I was entering this trade wrong. And I did something that if you do and you continue to do, you're going to lose and you're going to lose incredibly aggressively. And I try to forecast where the stock was going to go instead of waiting for that proper confirmation. Again, that proper confirmation could have came on Friday. Okay. That confirmation could have came sometimes this week. Or that confirmation could have never come at all. But my point is what I did, taking all the elements that were right in front of me, especially waking up in a massive food coma. Okay. I did the ultimate sin. I tried to steal a trade. And when you look at the ranges on Tesla, okay, if you look at the ranges on Tesla, we'll talk about, again, we don't talk about the trades that work. We don't care about the trades that work. The trades, no matter how you trade, no matter what your process is, if you're trading for a long time, you expect to make money. Okay. That's obviously not the case. Obviously every trade, but you have that confidence. I don't care. Again, I don't care what type of trader you are. You've been trading for a very, very long time. Our confidence is direct correlation of our process. If you trade options, you're not putting on a trade saying, well, I hope I make money. You know you're going to make money in the trade. Obviously that's not the case. Again, we're not talking about fantasy world. We're talking about the reality, but I've never met a trader that has been doing this for 10, 15, 20 years that doesn't feel like they could walk on water and they don't feel like every single trading they're going to make money. Again, that's not the case. We all know that, but that is the mental capacity that we're all trading in. So when we looked at Tesla, when we absolutely looked at Tesla, I knew the ranges. I knew the ranges. I knew the bias. If you look at the daily chart on Tesla, it's now ever since that whole event that came out, it's now sitting three, four days in a row below the five-day moving average. So I was gathering information, totally gathering information. Again, we talked about this every some week. You need to have an opinion. You need to gather information. And again, the key is wait. Wait, damn it.  Wait for the confirmation to hit. And you could tell it's bothering me because I've been thinking about this now for two days. And the more I thought about it, since this is Friday, today is Sunday almost 10 o'clock in the morning, Easter. So this has bothered me for two days. And again, I'm not going to vent to my wife. She doesn't care. And it wasn't the end of the world, but again, it shows you how fragile we are.   And this was kind of eating at me for two days in a row, eating me in two days in a row because again, I didn't let it play out technically. I forecasted the trade. So again, here was my thought process. So it got rejected at the five-day. Again, the five-day moving average is the shortest area of sentiment. Got rejected. Got rejected. Got rejected. Got rejected. So I'm looking at this channel and saying to myself, okay, if it wants to rally and start reclaiming positive sentiment, it's going to need to get above this 335 area. That will literally break the last three days of trading. And again, we'll get a big move from 335, maybe a 338, start crawling back to the 342 area. And if it starts building below, right, again, two basic channels, 335 to the upside, 327 to the downside, why was 327? Because again, that was the low breaking all technical damage several days ago. So I said, if this thing breaks below that 327 level, it should start its next leg down. So that was my, that was my gathering information. Okay. And I started seeing weakness in Tesla as the market was spiking up a little bit and it started coming down. So what did I do? Okay. If you look at, if you look at the pivots, and again, we don't care which way the pivots are going to crack. We just wait for the confirmation. So we knew 335 to the upside, 327 to the downside. Okay. 327 doesn't mean 32705, 32712, 328, 328.5, 329. It means 327. It means it has to crack 327, start breaking 327, put them in the new low retrace back. And once it confirms that is your confirmation, that is your aces. So what did I do? Okay. The low for the day. Okay. The low for the day on Tesla is 327 and a half. Okay. So what I did was, and I, and I do this, you know, a handful of time of the year, I forecasted the trade. Okay. I forecasted. I was predicting where it was going to go next. So my reality versus the reality of where it was was completely different. So the low of the day is 327 and a half. Okay. It wasn't 327. It wasn't 326 and a half. It wasn't 326. It was 327. I had no business being in this trade. And I knew this. And I knew going into the trade and I was talking about it. You know, I shouldn't be in the trade. I shouldn't be in the trade. You know what? I think it's going to go lower. I think not it's going lower, not the bears are in control, not it's building underneath the lower demand, not at these technical areas that give me any type of, any type of relief knowing that this is technically happened. What I said was, I think the stock is going to retest that 327 level. So I started shorting the stock 328s, right? 328s. And what happened? You guessed it. I wound up losing money. But here's the kicker, not once. I lost money twice of it. Okay.  I went into the trade the second time around, the second time around. And again, the second time around had exactly the same results. And this was absolutely eating at me.  And you could tell, you could tell how it's just still irking me. And again, this is my process, how to put kind of the past to the past. And again, going into tomorrow's session, I'm going to be completely fine. But you could tell how, how really incredibly important it is for us to not to overthink. Okay. There's so many moving parts in trading. We talk about trading all the time, how you have to be perfect. And you have to wait for the sun and the moon and the stars to completely align before you go into a trade. And again, a lot of times you hear this all over social media, and sometimes social media actually does make sense. Most of the time when you're a professional trader and you're aspiring professional trader, you're doing a lot of sitting. Okay. You're doing a lot of sitting. You're doing a lot of data collection. Again, that's, that's your opinion. So the amount of time you're actually trading throughout the day doesn't compare to the time that you're actually sitting and waiting. So a lot of times in, again, you know, if I'm putting on two, three, four trades a day, I'm going to wait for those spots and I'm going to make sure they're perfect entries. Again, we don't know the word perfect. Again, that's the eyes of the beholder, but at least in my process, I have to make sure that all my ducks in row and it really does show you. And again, I'm going to make this mistake again at some point, going into next year, at some point, going into the following year. And I'm going to make, I usually make this mistake about three, four times a year. Okay. And it's almost to the point of that we can't escape our humanity. Okay. We can't escape our flaws because we're human beings. As human beings, we are flawed. We are flawed as parents. We're flawed as spouses. Okay. We're flawed as friends. So why wouldn't you expect that to kind of spill into your trading? But the worst part about that, the worst part about that is, I knew I was wrong. Before I even put on the trade, I knew I was wrong. And that right away, there's absolutely no excuse.  They will send you in prison, something that our society puts into play. But in trading, if you steal an entry and you are trying to forecast where it's going to go next without actually waiting for confirmation, there's no holding back.  So it's unfortunately another wake up call. Was it horrible? Was it horrific? No, because again, there's no, you know, there's no volume. And I was trading smaller size. So the monetary impact wasn't horrible, but the mental impact. And this is kind of where we burn mental equity on something that could have been avoided. That, if you are not careful, can spill over the next day. And the one thing I have an advantage over a newer trader, I know what I did wrong. So I'm not going to do that come Monday morning. Unfortunately, a new trader, if nobody sits you down and say, hey, what you're doing is wrong. The fact that you're forecasting, you're doing it wrong. The fact that you're trying to predict, you're doing it wrong. The fact that you're trying to be right, you're doing it wrong.  And it's called death of a thousand paper cuts. And the moral of the story is unfortunately you won't be trading. So it's very, very important guys. And again, it's almost like a case of do as I say, not as I do. It's going to happen again. But the most important part is folks, even if you have to take a big sticky note and put it into your, right in front of your PC screen and just say, don't do it idiot, wait for confirmation. It might help somebody out.  It's part of the business.  Okay. We're going to do it again. The key is kind of do it less and less and less until you're finally almost to that point that you're in control of what's going to happen next. So hopefully this little conversation helped everybody. Ironically, it was actually a pretty good week. Very, very solid week. Amazon was incredibly strong all week. The video was a monster. Hell, even Facebook, man. I traded Facebook three or four times this week. They had some pretty good results on Facebook. I don't know. God knows why I didn't trade it on Friday, but it was a pretty good week. And again, if you look at the scoreboard, the overall scoreboard, the market did well. You know, the Nasdaq 100 was up almost 2%. You had a 1% move in the Dow. You had like a 1% move in the S&P. So good. The market is structured. We got through Thanksgiving. Now it's time for the quote unquote Santa Claus rally. And again, you know, with all these headlines, they're completely engulfing the headlines, no materialistic news that's really shaking the markets. And the most important part is, again, and I say this now for a long time, you know, it's a bull market till it's not. Okay. And again, it sounds very simplistic. And I said this all the time, but until you see a buyer strike, especially no macro news, you got to assume every single dip is going to get bought. And the most important part is you have to be conscious. You always have to be conscious that the other side of the, the other side of the aisle will pull your card.  I have, believe me, I have. And I'm very, very conscious on it. But again, strong stocks in this tape continue to be strong. We stocks in this tape are weak, but they're not slam dunks. It's very, very hard to get that, you know, that massive three, four, five dollar reversal candle because there's no fear. Okay. When there's no fear in everybody's in holiday spirits and there's no reason to sell stocks. Again, the last thing you want to do is have that key trade for reversal, you know, five to 50 cents a dollar while you can make three, four, five dollars to the upside. So again, still a good market, still a good market.  I don't know what parts of the country, what parts of the world everybody lives, but I live in New Jersey. The short hills mall was, was mobbed, was absolutely mobbed. I don't know, you know, they're talking about recession, recession, I don't, okay. We have a bull market. The malls were incredibly packed, traffic everywhere. So hey, listen, knock on wood and hopefully everybody is having a great start of their holidays. Let me give you guys some ideas going into this week. Again, market is strong until it's not. Let me give you guys some ideas going into this week. Let me see what I like here. Let me see what I like. Yeah, I like this berry. Let me give you guys some non-beta ideas.  Guys, set an alert on this thing. This thing starts building 4780, 4780, 48 level. You might start, you know, next leg up and had a nice, nice move into supply retraced. Again, you can see how the five day moving average is very, very important. It keeps on hugging it and bouncing off of it. So if it starts reclaiming 48, I think this thing can go. Gilead looks good as well. Again, big gap up over supply. You can see over the linear aggression line now. It's just flagging. I think it started rebuilding and reclaiming 6780, 68. It can start going as well. I like this MBUU. I had this on the watchlist for a couple of days. It's trading thin, but here's the deal. Again, if you're trading smaller size, especially for all you guys who are swinging positions, again, you don't need a lot of size. You just need a structural balance in your chart. If MBU, if it starts just reclaiming 40 and starts building over 40, it's going to go. Again, you could see that the sellers are comfortable. Even though this thing traded hardly any volume, you could see the sellers are comfortable. And the sellers are comfortable. It means there's no selling pressure. You could see four days in a row, actually five days, one, two, three, four, five days in a row of higher lows. So it's very, very bullish. And once it starts reclaiming 40, maybe it goes there as well. Let me see what else I want to talk about. Kind of like this ST&E, right? I kind of like this ST&E as well. Nice flag, right? If it starts rebuilding 42, I think it can go higher. And then everything else is beta related. Again, the only reason, it's not a big secret. The only reason I don't like to put out a lot of beta names, especially into the public, I can't afford to have artificial volume coming into that price. When you're trading beta, it's very, very important to watch order flow and see how they start building. So if you see a massive volume surge, you don't know if it's a real buyer or hell, an update, right? Like a weekend update. So they say, well, Dan liked Tesla at this price. So we want to kind of avoid that just for everybody's safety. Because again, when you're trading high beta names, you really need to make sure who's controlling. It's not about a pivot is not a trigger. Pivot is an area that they reclaim and start to build. So it's very, very important. That's why I kind of try to avoid the pivots, the beta pivots on these updates. So that's it guys. So hopefully my little lesson, my little lesson kind of helped everybody and could help somebody down the road in the future. Again, this business is relentless. Okay, guys, it's absolutely relentless. You don't get any mulligans.  Okay, your best teacher is experienced. And if you keep on repeating the same steps over and over again, you're eventually not going to trade. And that's going to be, you know, obviously a very, very bad scenario. So guys, I want to wish everybody an absolutely awesome holiday season. I want to wish you guys an amazing trading week. And with God's help, I'll see you all in the field tomorrow. Take care guys. Have a great day. Congratulations for putting in the time to take control of your trading. You're one step closer to owning your future and achieving the success you desire. Want daily trade ideas directly from Dan? Straight off his personal watch list? Unlock our free PS60 vault, where you'll get nightly updates on pivot opportunities we're watching for the next day's session. Click the link in the description to get started today.


Next is a block, but we'll have more time for discussion after the data block. So in this block, Pa and Nupon is going to talk about a data portal as part of the seminar series of the Papalism of Cities or of Viewing. And I think you ought to pause. Which better. Someone else is presenting while I open this. No problem? Here we go. So I'll be presenting a system that we've set up recently at the Papalism of Cities called Motoblissig. And before we go there, I'd like to explain to you what the Papalism of Cities is. I spoke with Don Lee earlier, and he described his group as a hubbub club. And I think that very well describes how he started, at least. So our initiative started as a hubbub, as a group of people coming together, mostly young academics, people doing research on urban metabolism, who had an interest in doing something more than their research. And our goal really was to, we believe in this concept of urban metabolism having lots of potential and being useful currently, very much in the academic sphere, but having lots of potential elsewhere as well. And we would like to spread the word. It's not a very well-known discipline. And we felt the need to collaborate, also because we were located in many different places. And we figured, let's do this through a website in which we publish, for instance, information or publications that are out there. We couldn't recognize index. We talked about what research is being undertaken. And we tried to help people understand what's happening in this field. So we really worked on creating a hubbub on urban metabolism with very much thought, the philosophy of open source sharing of information behind it. Slowly but steadily, we expanded our group. We are now nine people. We have also expanded the background of people in our group. So the person at the bottom center, Ramiro, he is a 53-year-old dentist in Argentina who has a very keen interest in urban metabolism. And he threw a move he has found out about this concept. And we warmly welcomed him to our group. So what we do these days is not restricted to just running some publication index on our website. But we really tried to work together and develop different projects that could range from, we've seen earlier, these material exchange platforms. So we're doing something with the government in Brussels to work on that, to writing up research reports together with local government to organizing series, seminar series like this. So we tried to really bring this to a more practical level. And in our approach, we tried to become a little bit more professional from our hubby club into a more professional setting. We defined what our goal is, which is something we hadn't cleared from the beginning. So we defined this as we would like to collaborate on systemally improving the sustainability of cities. That, more than anything else, is what we tried to do. Now, we tried to do that by creating and sharing urban metabolism knowledge and accelerating its implementation in policy practice. We have debated as well whether or not we want to define our goal around urban metabolism. We said, primarily, we want to collaborate and help improve sustainability of cities. We think that can be done through urban metabolism. But if we prove and run, we change the methodology. And we really want to go to as much depth as we can to find out if urban metabolism can help with that. Now, how do we do that? We work on creating knowledge, sharing knowledge, applying knowledge, and fostering a community. And we have different ways in which we do that. Now, looking at different research projects and what they find if they look at applying policies and interventions or developing strategies for sustainable resource management, you see a parent being defined by this mid-future project that highlights different pieces that you need to reach strategy and decision support. Where we work in, you can see here what the different components are, we work very much in the middle of this period. We lead to others to work on strategy and decision support. We lead to others to develop the systems that you need. But we want to work with the data that comes out of those systems. We want to work creating models and scenarios, understand the uncertainty, develop visualization, and develop indicators. So all of these things, we see our role as facilitators of that process, facilitators of developing visualization, providing information on indicators. In the end, it's cities and city governments that need these different tools to affect change. And that's what we believe. And we think that our academic principle can help city government achieve those goals. Now, what are some challenges that we have seen in our work? When it comes to urban metabolism data, which was the lower part of the pyramid, there are already a number of challenges we experiment every day. It's incredibly time-consuming to find data. It's often very difficult to access. You talk about some PDF report that sits on a website. You can often find data on computers in a lab or at city level that you somehow need to get out of there. It's very scattered, so there's no one central place to go to, and formats are very inconsistent. So those are some problems that we find at that lowest level. Now, we cannot really get to the higher level if we don't solve those problems. So this multiplicity project tries to work on these challenges. So this project that we talk about is very much an online tool that tries to address these issues that we saw earlier. So we try to make available data in a user-friendly centralized platform. So when you talk about data being inaccessible and scattered, we feel that some of the solutions could be around creating one single place in which you can find all this information. A lot of cities deal with the same challenges around managing this information, and a lot of researchers deal with the problem of finding it. We are a global group, and we feel that if we can find a solution that suits one city, that we can possibly replicate this in other cities. And of course, we have to adjust to a global system senses, but the good thing is we are a global community, and we can work with people in different cities to find out how do we need to adjust it to a global situation, always working off one single standardized platform. Now, we embrace philosophies around open source and open access, so the idea is very much to make this available to all. And we come from this academic background. So we feel that some of these projects that city practitioners work around may not have the academic rigor that we'd like to see, and we'd like to bring that to planners and to policy makers. At the same time, academics or planners, we can't do it all ourselves. But in society, there are many people who like to contribute to this idea of sustainable cities. So our goal is to bring the energy of those people, of everyday people, who may not have a degree in sustainability, who may not work as city planning, but we'd like to rope them in, and rope in their energy to help with this kind of project. And finally, as I said, we'd like to be replicable, replicable to develop for one city and we make it available to others. So our platform very much revolves around the idea of presenting all different sectors that relate to material resource use, consumption, flows, stocks. We present those sectors, and bit by bit we present the sectors in a standardized format that is clearly accessible. And I'll show it just now. We break information up in a number of different pieces, which can then also be accessed through their own section. So first of all, we want to provide general information about the sector. People often know only a particular element of a sector. So if you talk about water, if I'm a resident, I know about water being available or not in my house. That's where it ends. I don't know where it comes from. I don't know where it goes from. Similarly to waste. I create waste. I put the belt out, and that's it. Even if I'm a professional, I may only deal with one part of the sector. So our goal in this first part of describing a sector is to describe the overall sector in small pieces of text in a way that's very accessible to anybody. I can spend half an hour reading through this, and I have a nice holistic understanding of what happens in this sector, in this city. Next, we present a number of data sets. So we try to explain to people, to show people what's available, what data is out there. For all of this, we don't imagine that it's gonna be complete and comprehensive and perfect from the beginning. But we feel like all of this, any information that's out there that we can share, any data that's out there that we can share, is more, is better than nothing. So there's a lot of data sitting in different pieces, and we'd like to show those different pieces here in one place, not as a PDF that you download, not as an Excel spreadsheet, but it's on the web, so it's a nicely browsable, fuelable, filterable section. Then you'll see a part of an infrastructure. So when we talk about material stocks and flows, there's often infrastructure related to that, and we'd like to index that, and I'll talk about maps. We wanna know where things are. If you talk about flows, you need to understand how do they flow through a city. So this is very much geo-reference information to better understand and to better imagine. So if people hear that their ways goes to landfill or incinerator, the page says much more than words, so we want people to browse the map, to check the label, what's near me, what's impacting my or our city's stocks and flows, and how can I see that? And we wanna bring that closer to people and every stakeholder involved. Finally, documents, academic publications, reports from government, legislation, we try to put it in one place, and then multimedia, photos, videos, et cetera. This gives you a top-level idea, but of course, I'd like to show you what we have. You know, let me have a look. First of all, we're gonna look at Cape Town. So in Cape Town, we started populating the system with some information. It's not complete yet, it's still a lot to do, but it gives you an idea of what we're looking for. So you'll see the dashboard, so this is the section. On our website, it's not called multiplicity, it's called simply cities, and under cities, you'll see a number of cities that pop up there for which we have started developing dashboards. Now, you can see here, we define a number of sectors that are all related to resource flows and stocks, and there could be different ones in different cities, and here you see the same overview. Now, I'm gonna browse it by going to the waste sector, which is of course what's interested today. Good thing that I opened it already in another tab. Thank you. So first of all, here you see a general description of these different parts of the waste sector in Cape Town. If you come from Beijing, you come from Chicago, you come from India, you have no clue what's happening in Cape Town, but we want to share this information. You go here and you browse, so what happens in terms of waste generation in Cape Town? Here you get a couple paragraphs that explain what waste has been generated and how it works in our city. Same for waste collection, how is that done? What waste management facilities are there? So in very little time, I could get the top-level understanding of what happens in the city. Now, as we go down, we'll see the data sets that are available around waste, and as I said, this we try to make as accessible and easy to browse as possible. So here you see a data set on hazardous waste entering disposal facilities, and at the same time, I have a number of other data sets underneath, which if I were to have internet, I could show you. For all of the data sets, you can open them, and here comes an academic reader. We try to really detail to people where does this data come from? What is the uncertainty of this data? Can you rely on this or not? Who's provided it? And how can you replicate getting this data set? We link data to infrastructure. So as we go down, our next section is around what infrastructure exists for waste in Cape Town. And here you see, we have three electrical sites, three waste transfer stations, and 37 drop-off sites. There's more. We just started with this, but this gives you an idea. And here you can see on the map, you can browse the different facilities that are there. People can click it, open profiles and browse them. Again, I'm not gonna do it now. To really get this idea of exactly what's out there and how does this relate? It's set up in a way in which we link all these bits and pieces. So if I upload the data set that contains information on all the waste entry, all the landfill sites, I have to list one by one for each of the landfill sites what happens. I can check the full volumes for all the landfill sites. And then here you can see our three landfill sites. I can open the profile of one landfill site and then pull the data for that particular landfill site. So there's many different angles to browse the same information so that people are interested in a particular angle can find that. And finally, we can see the documents that are related to these different pieces and a number of photos and videos. Now, if you look here, this is the profile of eight landfill sites. And here you can see some photos, some maps. And this is a similar dataset but not just filtered for this particular landfill site. You can download all the data, see where it comes from. And there's a lot of who uploaded this, when was it amended, et cetera. The process of putting information in there is something that, as I said, we want to make as easy and as crowdsourced as possible. So we've worked on a system in which people can upload information bit by bit. So we don't expect someone to have all pieces in place. So we tell everybody, listen, if you have any information on infrastructure, if you could find data on what landfills are out there, what incinerators are out there, you can put it in. If someone else has photos, they can upload photos. If someone else has data on population, geospatial information, everybody can contribute their piece of information. You upload this by following a very simple procedure. You format your data as a CSV file and you upload it into the system. The system then makes all those graphs, it puts it on maps, it links different things, it makes it available for download. So a user really only is concerned with formatting the data in the right format. We've been trialing this in a number of different places. We've worked with Lakeland University in Holland to work on a city of VHAY. We've worked with a number of different groups in Cape Town. We've been working with Japan here in Beijing. And we're trying out how can we involve a wide variety of people in uploading and contributing data. And something we're finding out in Cape Town is you really don't need to necessarily work exclusively with people who work in this field. We've done a number of projects with citizens who come together because they like, in this case, it's people who come together around the topic of open software. And it's people, it's web developers, activists, journalists who come together. You don't necessarily know anything about sustainability. But you go there and we explain what we do. And they say, well, that's interesting. I'm concerned about this topic, how can I help? And it turns out that you don't necessarily need to know about sustainability to contribute pieces of information to this. So we've had people who know about programming go to open street maps and crawl for all the different train stations in Cape Town. They uploaded it in here. We've got someone who, again, knows about journalism and gathering information who went to the ratchet of the city of Cape Town and found all the information about the dam levels in the city and populated that information. And it's really great to see how people who we normally don't get data from now contribute information to the system. And there's lots of things to do. We're only scratching the surface. And we're only trying to figure, we're only now starting to figure out how are things different in different cities. And in Cape Town, we have non-sineration plans. The paint show does that here, there's a number of incineration plans. So we have to just add a new type of facility to make sure we accommodate them. It's a very simple example. But we'll come across many of these different issues that we'd like to solve with the community, with the people that do work. So this is very much a collaborative project that is at its infancy. But we think it provides some potentially. So our goals with this project are to take urban materialism to a more practical level. And we want, in the first stage, we just want to populate the system with information. Just have all these little bits and pieces in there. We don't look at the city as a whole. We want to unpack the box and look at, you can see it, at land-fill level, at suburb level, at whatever level data is available. So it's very much tapers to this multi-level data upload. At the same time, our goal is to say, well, once we have information, we must start doing the things that we as academics do. We must put together a system-wide understanding of what happens in the city. But we don't do that as a starting point. The starting point is to put all these pieces in. Then we can try to understand the different systems of water cycle and the food cycle and why not. But ultimately, our third phase of the project is to develop tools around this. So we'd like to see, and we are engaging with city officials, to say, what do you need to help your decision-making? What do you need to help with policy-making? And some of the things that we have planned, you can imagine if you have a number of different data sets for every city around the same time. You can do a lot of interesting things with that. If you take the example of waste, let's say, we have different waste technologies. So again, you can talk about incineration and a plan-filled solution. Then you can talk about the waste collect waste with all the different technologies. And there's different types of methods being used in different cities. Now, if we have lots of data that paints the clear picture of the environmental impact of the current method employed in the city. And at the same time, we have similar data sets, obviously, that use other technologies. City officials can say, well, let me use the system to try and understand what would the impact be of swapping out all the technologies, of upgrading, of employing different tools. Would that ultimately, if the system allows them to forecast what the environmental impact would be? And again, here we need a city-wide impact, because you can't just talk about waste. You need to see what the total impact is. But if our system can help understand the total impact, it becomes much easier for city officials to get a better understanding of impact of the decision-making. Now, you can think of many other tools that you can offer to city officials and practitioners that help them make better decisions and that help them understand better what the impact is of different alternatives. And as I said, we very much at the beginning phase, but our goal really is to provide tools that are useful at a practical level. We don't know yet exactly how we'll get there, but we think that the first step is to create this kind of tool and to engage with relevant people. So that's our system 30 in place. And I'd like to ask Yupeng to continue to talk about the system. Shall I help Yupeng again? No, maybe I can. My bestie? No, I have to move to the other part. OK, so to introduce, we have worked with Yupeng, who's based in the German, and who's done a lot of MFA work, we've worked together on working on Beijing, which is far, very far from home, but for Yupeng, much closer to home. So I'll leave you here.


Good morning, everyone. I'm Bill Ren from Huawei. I'm glad to be here to share with you my thought about future network evolution. So the short video just now gave the title of my speech, accelerating the autonomous driving network, while industry collaboration. So talk about autonomous driving. So first, let's have a look at the history of automotive industry. So in 1885, the Benz Motor Wagon, the first car with a framework. In 1958, the Saab J750, the first car with a seat belt. And in 1978, the Cadillac Civil, the first car with an electronic control unit. And in 1999, Mercedes-Benz, the S-Class W220, the first car used adaptive cruise. So the first 100 years, the car industry improved in a continuous curve and focused on the traditional challenges, like the performance of the engine, the driver safety, and the fuel efficiency, and et cetera. But for the past 20 years, some new players started to pay attention from some new challenges, like global navigation, high definition maps, and identify the environment dynamically. So by last year, December, the WIMO-1 commercial usage stands for the autonomous driving has arrived. So by dealing with these new challenges, we clearly see a paradigm shift in architecture and ecosystem. So look at the history of Tahaka with an even longer history. So we also have a traditional challenge to deal with, like capacity, power consumption. But for the next 10 years, we have reason to ask ourselves, why not autonomous driving networks? Do we have a new challenge to deal with? Do we still do continuous curve improvement or paradigm shift? So maybe we should ask first, why autonomous driving network? So on one hand, the network complexity will continue to increase by the network scale will reach to 75 billion devices by 2025. And the SDNF technology will be deployed in a large scale. And the marketing space will be expected 100 billion. And on the other hand, the cost of the network operating and maintenance is huge. The efficiency of the carrier is 100 times lower than OTT players in some extent. And the growth of the all packs is much faster than the revenue in the past 10 years. And at the same time, the global digitalization or the transformation has all for huge opportunities to the network. The marketing space of SAT digitalization is expected 5 trillion. And the marketing space for manufacturer digitalization is 6.4 trillion. By 2029, the ratio of IT and the application move to cloud will be increased from 25% to 95%. All this means we have a new challenge to take care of. So like opening this internet driven and self healing, big data automation, all those requires paradigm shift in architecture and ecosystem. So first, let's look at the paradigm shift of architecture. A typical autonomous driving schema will be abstracted as a three-layered closed loop architecture. So at the bottom is a car, which needs to add a large number of sensors. In the middle is automation layer, which contains automation control plate form and big data analysis plate form. The result of the analysis will directly drive the control plate form to achieve this automation. And at the top is a cloud AI plate form, which contains the global data and have the AI model training and inference capabilities. We can see the architecture shift from product centric to platform centric. So similarly, for the autonomous driving network architecture, referring to this three-layered closed loop architecture, we should also add automation plate form and AI plate form above these network elements. So all those plate forms supposed to be public and open. So how to build this? Obviously, open source is the best way or effective way to build it. So referring to this architecture for autonomous driving network, the open source community should build a common vision and framework to drive the industry to work together. So like this acrimus for this cloud AI plate form, on-app for the automation plate form, on-app and Panda for this analysis plate form, and Acrena, Fido, OpenMFee to build and operating this optimized infrastructure. So we can see we have a full stack community to be leveraged. So refer to the maturity level of autonomous driving. Here, we'd like to give some definition and the details of autonomous driving network. So from bottom up, we can see the scenarios from deployment and service provisioning to network optimization, planning, and design. From left to right, step by step, all the manual work will be replaced by the AI robots to achieve from level two partially autonomous driving all the way to the level four, level five highly and fully autonomous driving experience. So compared to the car, most above level four already. So the network is still in level two today. So why is the network is lagging behind? So we have to talk about another paradigm shift. So this is a paradigm shift of ecosystem. While autonomous driving developed so fast, the rich ecosystem on the left gives a reason. So there are not only traditional car manufacturers transport operators, but also technology providers to the autonomous driving platform in the middle, in the middle. So many internet companies has provided those technologies needed for those automation platforms. So therefore, for the car industry, has entered a cross industry, open innovation, and collaboration mode from a single industry. So look at the ecosystem for the telco industry. Apart from operator and the windows, it's lack of technology providers for the automation platform in the middle. So there is no single company could offer all those technologies of the automation. So how to embrace the new technology and how to build this rich ecosystem? Again, the community of the open source maybe is an effective way. But the community and its pattern also need a paradigm shift. So firstly, the open source community need to do more than share the code and build a common WinF marketplace and also do the certification program. Secondly, in addition to the traditional operator and the windows, it's necessary to introduce some OTT players and the vertical industries to share the AI technology, software capabilities, and industry knowledges to achieve a better cloud and the network experience. So to accelerate the autonomous driving network, I call for Windows operators and the community to act. So for Windows, of course, it's better to add more scenarios and use keys to the community to define the new challenges and the architecture together. So Swisscom, Huawei, and Nokia build this broadband service orchestration with ONAP. So it's a good example. I encourage you to visit our booth for more detail for operators to speed up ONAP deployment to issue ONAP-related AFP. So Orange and Huawei has jointly verified this ONAP-based orchestration service with SD1 in your commercial environment. So welcome to you attend this track session tomorrow. And for communities, we should jointly build this ONAP-based market place. So Huawei has invested in a testing framework in OVP program. So I encourage you to visit our booth for more detail. So finally, as a summary, we have new challenges to deal with. We should deal with openness and intelligence beyond efficiency. So new paradigm shift to build this platform and ecosystem beyond the products. So new collaboration is needed, a joint vision and cross industry collaboration beyond a single community. So we'll find a thought about what matters in the journey of open source and in the past years, what we learned. So one, first, the open or closed is just a means. It doesn't matter at the end. It matters is an extremely experience you could bring to your end user. Second, the open is not an attitude. It's a capability. So it doesn't matter you like it or not. It doesn't matter you claim the open or not. It matters you could leverage it or not. So the third, I strongly believe we as an industry should work together and could have the capability to leverage the full stack open source community to achieve, to build, and to accelerate in this autonomous driving network. Thank you.


and you're watching Beyond for Renee today. And today I'm here in Culver City at the Diva Chantalon because I am going to get my hair cut and colored. I'm so excited. Let's do this. Thank you. Oh, my good girl. She was a Diva certified curl expert that's going to be cutting my hair. And the thing that made me most comfortable was coming to her is that I told her I wanted to get a haircut, and she responded with, yeah, let's reshape you.  She just said reshape, because that's kind of all I really want. I just want more of a shape. It's really flat, so. Perfect. Help me out with it. And that's what we'll do. So looking here, we don't need to touch the length at all because your length is what we're, you know, growing out. So what we need is to lift and some movement right here. And we need to lift and make sure these up-sleeves layer gives us a lot of elevation, a lot of movement. So that way you don't do as much picking. That way the style is kind of there for you. Perfect. Just a little reshape. All right, let's do it. I'm excited. Here we go. When you come to get a haircut at the Diva Salon, you're not only getting a haircut, you're also getting curl education. Throughout my haircut, Felicia would ask me questions like, what's my sleep routine? What products do I use? How do I wash my hair? How often do I wash my hair? All important questions that every curly girl should know. Now luckily because of what I do, and being a curl vlogger, I knew the correct answer to all these questions. But for the average curly girl, you walk out of the salon knowing exactly what your curls need. So that this was not a big chop.  No drastic changes. I still have my same length, but I have a whole new shape and some new bangs. Absolutely love it.  All right, I'm here with Izzy. She is the color specialist here at Diva Salon. I will put her Instagram in the description box. You gotta check out her work. So let me show you what I want. I took a picture from your Instagram. I really like this kind of color. So not too blonde, but yeah, more of a light brown. I love that idea as well. So what's the difference between Pintura highlights and just regular highlights? I mean, when it comes to curly hair, I feel like Pintura was specially designed for that. When you work with the Pintura, you work with the curl. You follow the curl pattern. And besides that, it's definitely more healthier because it sits on the hair, not inside the foil. Cause I feel like if it sits inside the foil sometimes, it overworks the hair. This sits on your hair. It grows out much more beautiful and it's even healthier, especially for curly hair. Cause curly hair is so easy, easy to like get dehydrated, get dried, get fried. This, you don't even have to worry about that. Okay, that's good. I do a lot of questions about getting color and if it like damages your hair and everything. Absolutely not. That's what I feel like the Pintura, it's definitely my favorite, favorite technique cause these are the painting techniques out here. But because it works with your hair and not against it, it's always gonna be my favorite. Cool, let's do it. Let's do this. Color could really soak in.  They use this pretty much large saran wrap to wrap me up like a piece of leftover food. And then they put me in the microwave. I mean, under the dryer. Now it's time to head over to the washing area. In this area of the salon, it has these really cute princess-like drapes that they will wrap over you as you lay down and get your hair washed. This is Eze's assistant, Paul, who's also known as the Curl Jedi. And he is actually adding the steps for the Olaplex. And he also gave me the best scalp massage ever. I would suggest just coming here after a hard day at work and just getting your hair washed. So, relax. All right, so the next step is we're gonna put in the Olaplex. Number two. And what is Olaplex? Olaplex is a bond multiplier. It only does one thing and it does it very well. It finds the broken to soft light bonds in your hair and relinks them back together. And these bonds are broken through color, lightener, perms, relaxers, thermal styling at home, flat irons, blow dryers, mechanical styling, brushing. All of these things break the bonds in the hair. So the sulfide bonds are the same type of hair. Straight hair, wavy hair, curly hair. All hair is made up of the same bonds. And Olaplex brings those bonds right back together. The distribution is key here. Key. We developed our own little technique here because a lot of the curly girls have really thick hair. So we have to go internally. Watch this. So now the second phase of this is to massage it in. Anytime you massage these products in, they break the cuticle and the hair absorbs it a lot better. So what I'm doing here with this conditioner, with this treatment, is the same kind of movement that you wanna be using when you do conditioner. Now that Paul has washed my curls to perfection, as he came back to do the styling, she used the DivaCurl Bee Leave-In and the DivaCurl Super Cream, my personal favorite. So you kinda see like how juicy this is gonna look. I love me some juicy curls. I then headed back to the styling chair and flipped my head over where Ezzie applied more DivaCurl products. She applied the products on soaking wet hair and then squeezed all the excess water back out. She then dried off my curls using a microfiber towel. Now back with Felicia, she's adding these small clips to give us more volume because instead of your hair drying flat on your head, it's now gonna give it some instant lift.  Then I sat there and let my curls dry. And flipping over again, there's a lot of flipping happening at the DivaCelon. She's now using a diffuser to dry the last little bits of my hair before we see the final results. Oops, yeah, it's really caramel, but I want it. Thank you, lady. Thank you, lady. You just got to play. All right, that is my final look of my haircut in color. I love it so much. This is definitely the best haircut I've ever had. It's so nice to come to a place that appreciates curls, understands curls, you can walk in without having so nervous. Yes. So you can leave happy, which I don't think I've ever left this one happy with my haircut, to be honest. Thank you guys so much. I wanted you guys to follow them on their Instagrams, which is Felicia Elise, as you call it, DivaCurl. Paul Martinez, Hair Department. And I will put all of this information below in the description box. And actually Felicia actually starting her own YouTube channel as well. You're awesome, Felicia Elise. Yay, we're doing natural hair tutorials. Yes. Make sure to follow them and I will see you guys in my next video. Thanks for watching Bianca Renee today. Thank you. Bye.


We recently covered a video on how you can get yourself the special Pokeballs in Pokemon Scholar and Violet, the Apricon Balls, the Dream Ball, and the Beast Ball. These are extremely rare items and when you come to use them on wild Pokemon, whether it be a Shiny or a specifically special Pokemon, you wanna make sure that you are putting yourself in the best position to get this Pokemon. And I always feel like it would be great to have an idea of what the chances are of you getting this Pokemon in this specific catch. Well, today we're gonna cover a brilliant tool that has been released to the community. So you can see the specific catch rates for when you're using these special Pokeballs, so you don't waste them after taking so long in acquiring them in the first place. But before we get into today's video, please subscribe to the channel. Remember, you can always unsubscribe later if you would like to. So yesterday, Anubis dropped this tweet saying, I went through the Scholar and Violet capture formerly with at Denvoros. He made this calculator that you can use. And it's at Rotom Labs. You can read further for the details on what's changed since Sword and Shield. This doesn't apply to terror rates, which have a 100% catch rate if you didn't know that already. So you don't have any worries about going into a terror rate and getting the Pokemon for that. So this is the calculator itself. You can see there is a bit of an explanation here and how it works and a bit more information down the bottom here. But a brilliant tool for us to be able to just take into our games and use alongside them to get an idea of what catch rates you've got on Pokemon around the region. You can see here, you've got the full list of Pokemon here. So we're going after something like a Dino, which is a pseudo legendary. And you want to catch it in a dusk ball and it is nighttime area in a cave. So there is that option there, which is brilliant. And then you want to use the current HP. If we've got a false swipe user, you can put it down to one HP. And we'll say the level is around 38 here. Status condition, no status condition. So if you've got something that can paralyze it, put it to sleep, that increases the odds even more. You've got your badge count there, catching power. If you've got any of those powers from a sandwich activated, you can add those on, which will give you increased chances. Of course, encounter started with a back strike. If you do start the encounter with a back strike, that'll also change the odds as well. And number caught in Pokedex, so you can put one down there. So it's this static encounter as well, because it might be a static encounter that you come across if it's not just leave that unchecked. And you can see here, if we have all of this criteria for a Dino, and we've got that in game, we're going to have a 61% chance of getting the Dino with a Dust Bowl. And it's also going to give you rough estimate on how many throws you're going to have to need, how many poker balls you're going to have used to get this Dino in the specific call that you want. But if you're wanting to get it in something a bit more exotic, and you want to use one of those special apricon balls, or something, let's say, like a Beast Bowl, let's say the worst catch rates in the entire game, if we change this to a Beast Bowl, you'll be able to get a good idea of seeing what the odds are going to be. You're going to have a 4% chance to get this in a Beast Bowl, taking roughly about 61 attempts to get it in the Beast Bowl. That'll just give you a roughly 95% chance to get it after 61 throws. So you're going to want to save in front of it, obviously, because you're only going to get one Beast Bowl at all. If you're lucky, you'll have a couple of them, but you don't want to waste them, of course. So this tool is brilliant for just showing you the overall odds of how you can get it. Firstly, if you have catching power level three or anything like that, it doesn't really change the odds too much. So you can see, well, he's using a Herbomistica really that useful. Maybe using Encounterpower level two would help, but it doesn't change the odds really that much, maybe 1%. If you go with a back strike, you can see the odds are increased significantly, more than catching power, but if you combine that with catching power, you'll get better odds as well, and then you can also have a sleep condition like that on, and it will significantly increase your odds. So it just gives you an idea of the different things that you can do in-game to increase your chances, significantly going from 61 throws, roughly 215 throws on average to getting this Dino in a Beast Bowl. And that's just one example. You can do it with every single Pokemon that's accessible in the games, and like I say, what an amazing calculator to use, and we'll use it in the example now on a Shiny Tinkerturf that I've just recently caught in the games. So now we've got a Shiny Tinkerturf if we want to catch it in a special Pokeball. Obviously, we have saved that game, so if anything goes wrong, then we are going to be able to kind of go back and reset and try again, not to waste any of these special kind of apricon balls that we're wanting to catch this Shiny Tinkerturf in. But if you come over to Rotom Labs now, which will be linked down in the description below, you're going to be able to come down and then you're going to be able to put your Pokemon in here. So we have got a Tinkerturf, the select the ball that we're going to try and get it in. I think we're probably going to try and get it in a heavy ball. That seems like a nice ball to catch it in for sure. HP remaining, it will be on one HP, so it'll have exactly one HP after the false swipe. Pokemon's level, we'll need to check its level. So let's have a quick look at what level it is, level 38. So we'll be able to just plug this in on this vice here. Status condition, no status condition. We've got eight badges, catching power bonus. We don't have anything on and we didn't start with a back strike. So we'll put one down as caught in our Pokedex and it gives us the odds of the chances of us catching this. We've got about a 56% chance to catch it. So a success rate we're going to have to throw and reset about four times to get it. What the odds would be with a dream ball. The dream ball probably about the same odds. I would imagine maybe a little bit worse actually. So let's have a look, dream ball, yeah, a little bit worse, but I feel like it matches a lot nicer. This tool is an essential for going out and hunting with the special Pokeballs. Just making sure that you've got a rough idea of how easy it's going to be or not so easy to get a certain Pokemon. And we do it, there we go. We've got it in the dream ball. We didn't use a false swipe that time, but we got it in the dream ball straight away and that is a very lucky catch for us. And there's the shiny tinker tough. So that is everything in today's video, friends. A massive shout out to Denvoros for coming up with this tool and designing it for the community to use. I would definitely highly recommend taking it and adapting it when you are going out and catching shiny Pokemon specifically or other Pokemon as well if you want, just to give you an idea of what things you can do like I've said in this guide to reduce the catch rates to give yourself the better chance of getting these Pokemon in specific balls. So you're not resetting your game over and over and over again when sometimes you can just use a status condition or a back strike even to start the encounter and that's going to significantly increase your odds, especially if you are combining that with maybe the catching power as well from a sandwich that you've set up for that specific type. The link to this tool will be down in the description below. If you found this video useful, please drop a like on the video. Do subscribe to the channel for more Pokemon, Scott and Violet content and I'll see you all in another video very soon. So thank you for tuning in, friends. Take care of yourselves and bye-bye.


The Taliban has captured Afghanistan's second largest city, Kandahar. The city was once the Taliban's stronghold and is strategically important as a leading trade hub. The development is a blow for the government and a major win for the militants. In the meantime, the United States has committed to sending nearly 3,000 troops back to Afghanistan to help evacuate staff from the American embassy. The United Kingdom has also deployed about 600 troops to provide support to British nationals leaving the country.


Throwing injuries among Little League players are currently on the rise. While studies have evaluated the risk factors for throwing injury among these competitive young athletes, no study to date has resorted to serial MRI among asymptomatic Little League players over time. Using this technique, researchers have now discovered several risk factors that predispose youth baseball players to elbow injuries. The team examined the dominant and non-dominant elbows of 26 Little League baseball players. Before the study, each player reported no symptoms of injury and had undergone both pre- and post-season MRI three years prior. In addition to conducting repeat elbow MRI at their three-year follow-up visit, the researchers assessed the player's shoulders and elbows throwing history, playing status, and arm pain. MRI results revealed abnormalities in the dominant elbow of 15 players, more than half of the cohort. Among those players, 12 showed new or progressive lesions, including tearing of the ulnar collateral ligament, or UCL, and swelling of the olecranon, the pointed tip of the elbow. Exam results showed that external rotation of the dominant shoulder was significantly greater in players who continued playing baseball over the three-year follow-up period compared to those who no longer played. Players with prior post-season MRI pathology were significantly more likely to have MRI pathology at the three-year follow-up versus players with no prior post-season pathology. Year-round play, defined as at least eight months of play per year, was the biggest risk factor for elbow pain upon manual examination, increased external rotation, and positive MRI findings three years later. Nearly 80% of year-round players showed MRI abnormalities in their dominant elbow. Playing the catcher or pitcher position was also a predictor of increased shoulder rotation. Although the sample size was small and the long-term significance of the MRI abnormalities are largely unknown, the study's findings are meaningful. They provide evidence that year-round play is harmful to the throwing arm of developing athletes. The authors stress that a revised guideline is needed in Little League Baseball to give players at least three months of rest per year to prevent elbow injuries due to overuse.


Hello everyone, we're here outside Donato's Enoteca and I'm going to take you inside and introduce you to the executive chef Donato Scotty. He can cook a meal in under 10 minutes and he's all about just home cooking and spending time in the kitchen with your family, so I hope we'll learn a lot from him. See you soon. Hello everyone, we're here at Donato's Enoteca in Redwood City with Donato Scotty, executive chef and owner. He's been kind enough to join us today and show us how he cooked something very simple. He's also a father of three and he grew up in Italy, so I hope he's going to tell us some stories about how he learned to cook. Donato, I'd like to introduce you to 28,000 international students who are also learning how to cook for their families. So welcome and thank you for taking the time to do that. Thank you. I don't think I've ever met 28,000 people at once, but nice to meet you all. Tell us Donato, one question. How did you start cooking when you were little? I've always had a very healthy appetite growing up and when I was in the summer of who knows what year it was, but I fell in love with this bread making company in my small town and the guy that offered me a little job delivering bread and I was only 13 at the time. You lived on your bicycle, right? It seems like one of the stories that people made up, but it actually happened to me. At 16, while I was attending chef's school, because I fell in love with the bread making and the whole food thing and really fell in love with what is all about food in general. What are they making today, Donato? They're making just a couple of things that are very quick that they can be easily made in the same time that it takes you to go through a drive-thru anywhere in this area. So we're just going to make a little pasta with fresh tomato and then we're going to make a what is called a traditional salad in Italy, it's a caprese salad, which is a tomato mozzarella salad. So we're just going to start by tossing the pasta in the water for one, so and this is basically, it could be enough for one or to share maybe for two people. When you put the pasta in and the water has to be boiling, please you want to put salt in as well. My mom always told me don't put the salt earlier because it takes longer for the water to boil. What you need is olive oil, tomatoes, a little bit of garlic and a little bit of fresh basil, all stuff that you can pick up at whole food or any of your normal grocery stores. So a little olive oil, remember always stir the pasta, make sure it doesn't get stuck together. We're going to chop one tomato up, open a lot, that was quick. Oh, absolutely, absolutely. It's all about the ingredient, not about being perfect. Get good ingredient, organic tomatoes, good olive oil, and you'll be very happy with the result.  We let the garlic cook and then when the garlic is starting to brown, we can actually take it out if we don't want the flavor of the garlic because you have to go to class and you got some, you know, exactly, big date or in the meanwhile we're going to make a little salad, we're going to slice the tomato in slice. We just go very simple, okay. Now the garlic starts to brown, we'll take the garlic out and then we use all of the chopped tomatoes that we chopped before, even just a little bit of the little water that is there is fine as well. And you know, I mean the tomato just chopped fairly big pieces, lower the heat, we'll put a little salt, especially now that the tomato season is starting, it's starting to come along and you know, you're going to get good tomatoes at the market and you can make that one which is very quick, a quick, very quick sauce and also you can make this salad. Now we grab a mozzarella, one of those that you can find in your store, it could be a buffalo milk mozzarella or even a regular type of mozzarella. A little oregano. We tear a little bit of fresh basil on top. And by the way guys, he has done this in under five minutes so far. This is the fastest meal I've ever seen. Then you have a drizzle of olive oil and then if you like, I mean you can have a little bit of rock salt, if you find black one, white one, I use the volcanic rock salt, but definitely the regular white salt is totally fine as well. Going on with the tomato, they're releasing their juices at this point. I think they're ready, I don't want to cook them too much, the same thing I'm going to do, I'm going to add a little bit of fresh basil as well here and we can probably toss some oregano as well that we use for the caprese as well. We check that the pasta is ready. Now this is a little thing that I was taught when I was little, you know, when I first started working in those professional kitchen they said grab one spaghetti, tear it in half, taste it, I mean this is a little too crunchy for most of people, but you know, I like it al dente. In order to be perfect, it has to be a little white dot still in the middle, which it still has, it still has a couple of minutes to walk. Now if the sauce start getting dry, we just add a little bit of the cooking water and we just let the tomato cook. And this is pasta you can find in any stores, I mean you can go to whole food, find the Czech brand or find some artisan pasta. You can strain it or you can pick it out of the water, I'm going to go ahead and strain it right here and leave some of the cooking water in with the tomatoes and then you toss it, you don't have to toss it like I do because the first hundred times I tried to do that, I made a mess. Let the juices of the tomato finish cooking the pasta, let's get a little more water in there. And then you just let it simmer for a few minutes inside the sauce and you want to finish it always with some good olive oil. Now if you like cheese on top, you can put some sprinkles al parmigiano. One of the most important things about cooking pasta is to make sure that you don't overcook it in the in the water and you let it finish in the sauce. That will make the pasta more easy easier to digest and if you cook overcooked pasta you're not going to get the the texture of the real experience that you should have when you eat pasta. Instead you end up having with some mushy noodles which is definitely not what the way is supposed to be. Now as you can see the tomatoes are starting to fall completely apart, the sauce is starting to stick with the pasta. Now this I made as if I was going to eat it. What do you do? Just put it on a plate, you know. I think it's a perfect warm weather, a couple of dishes that can get you plenty of energy and nutrition that you need during the day and just stay away from those possible places. Perfect. Thank you so much. Thank you very much. Have a beautiful meal. Bye bye everyone. Bye.


Welcome to Toffey TV, this is the star in the 11 show Everton versus Liverpool. The Mayside Derby at an empty Goodison Park. It's going to be very, very strange. But we'll have to see how Everton cope with this one. In goal, Jordan Pickford. There you go, goalkeeper obviously at number one. England's number one, straight in there at the goalkeeper position. Right back, I've gone for Sheamus Coleman. I've gone for Sheamus Coleman at right back, I think his experience.  I think that will help him. I don't know if he's had a haircut. But I do think that that experience will be needed on Sunday against a very good Liverpool side obviously. And I think that experience in the defensive line will be needed. We've put him at right back, at left back. It is Luca Dean obviously at number one left back. And you'd expect him hopefully to have a good game. The two centre backs, Michael Keane and Mason Holgate, obviously they picked themselves at the moment with no yet he meaner. And Jared Branthwaite has only other centre back at the moment. Inter midfield. The centre midfield, Andre Golems. I think he's a huge part of this team. I think he's going to make his time, make his tick. I think Saintly Carlham won't you lot. He hopes he's going to make his tick. So he's straight in there at centre midfield. And alongside him, I've gone for Tom Davis personally. I think this is a brilliant opportunity for Tom to come in there and not have to worry about the crowd and just try and play his own game. He's had three months of not playing football. I'm sure he's ready to have a right goal. The idea of a Golems and Sigarton in there against Liverpool's three-man midfield just terrified me, if I'm honest. So I've gone for Tom Davis. I know a lot of people will disagree with me, but I just think the environment might really help Tom. So I've gone for Tom Davis. On the right, I've gone for Sidderby. Again, there's no feel walk-out and it doesn't seem to be any kind of natural or the right midfielder at the club at the moment. So I've gone for Sidderby ahead of Coleman. We've seen that before and I think, again, we'll need that strength, that power, that pace and also someone who can come back and help in defence. So I've gone for him on the right. On the left, I've gone for a Wobie. And it's sort of the same reasons. I think he can tuck in and make that midfield for stronger and give us a platform defensively and going forward. I think if he works hard and he gets back, I think that will really help us because we obviously know that their fullbacks are a major strength. So I think we need someone who's got a bit of power and a bit of pace against these because that's how they play. But I always think he's a threat going forward as well and cutting in off the left as well. I think he could be really important for us. So I've gone for him. And up front, I've gone for Dominic Harvenloon and Richard Ellison. They're our best partnership and I'm sure they're both chomping at the bit. They both look great in the videos we've seen of the training. And listen, with another game on Wednesday and then games coming thick and fast after that, we're going to have to utilise the other players we've got and other players like Anthony Gordon and Benny Benninghamien. Moise Keane. They're going to be utilised, I imagine, in the coming weeks and Bernard as well. But for me, we're obviously up against a very good side and I think we have to be compact in that midfield at times. And that's for me why we need to have someone like Siddi, and have someone like Awobi. So that's my start 11. Let me know your thoughts in the comments. Do you agree? Do you disagree? If you disagree fine, let's not have any name calling now. And tell me who you'd like to see start forever in the major side that will be on Sunday. There you go. If you haven't watched the match preview, please do. Me and Baz try and break this game down as much as we can for a game that hasn't been played for three months in the empty stadium. We've done our best. So check that out. Give this video a like, subscribe if you haven't already. And if you want more videos including daily live videos, join us on Patreon. The link is in the description. See you later.


Hello and welcome to this session in which we will discuss S corporation taxes paid at a corporate level. Now, the first thing you're going to be asking yourself is, didn't we discuss that C Corp S corporation are flow through entities? In other words, the profit or the loss flow to these shareholders. Therefore, S corporation are not tax paying entities. And that is still true. S corporation as a corporation should not have any tax liabilities. However, under certain circumstances, the S corporation as a corporation as an entity might be responsible for some taxes. And you might be asking why? Well, quick review. All S corporation start as C corporation. Remember S corporation is an election. So the shareholders elect to be treated as an S corporation. So at some point they were a C corporation. Now they could have been a C corporation for one minute only or for one second. The corporation is created. We file our election and we want to be treated as an S corporation. Therefore we were a C corporation for a short period of time, a minute, right, or a day or whatever. The point is, instantaneously, we were an S corporation, but in certain circumstances, maybe we were a C corporation for several years, year one, year two, year three. Then we switch from C and we decided to be treated as an S corporation starting year four. So the C corporation existed prior to the S election for several years. Under those circumstances, because that happened, we could have some circumstances where we are responsible to pay taxes from an S corporation corporate level perspective. So there are four different taxes that might be imposed on the S corporation. Something called built in gains tax, passive investment income tax penalty, life or recapture and the general business credit recapture. So when we have those four circumstances, the S corporation will be responsible for paying taxes on a corporate level. And this is basically a violation of the concept of the S corporation. Because remember the S corporation generate revenues incur expenses and will have a profit. And this profit will go to the shareholders and the shareholders will pay taxes on the profit. That's what we know. Well, under those four circumstances, the corporation itself here will have to pay taxes on those four things. What are those four things we have to discuss them starting with the built in gains tax. Now, as you might know, once I have a list of things, I'll go over each section separately, starting with built in gains tax. Before we proceed any further, I have a public announcement about my company, farhatlectures.com. Farhat accounting lectures is a supplemental educational tool that's going to help you with your CPA exam preparation, as well as your accounting courses. My CPA material is aligned with your CPA review course, such as Becker, Roger, Wiley, Gleam, Miles. My accounting courses are aligned with your accounting courses, broken down by chapter and topics. My resources consist of lectures, multiple choice questions, true faults questions, as well as exercises. Go ahead, start your free trial today. No obligation, no credit card required. So what is built in gains tax? Well, the built in gains tax may apply when a C corporation is converted to an S corporation. So this is what I just said. And at the time of the conversion, the fair value of the corporate assets exceeded the adjusted basis. So there we go, back to year one, year two, we were operating as a C corporation and life is good. In year three, we decided to be an S corporation. That's fine, life is good, too. But what happened is this, certain assets in the C corporation, the fair value of those assets are greater than the adjusted basis. What does that mean? It means we have a gain on these assets. And when we convert, think of it this way. It's as if we, it's as if we sold the asset and bought them again. If we sold them and bought the asset again, we're going to have a gain as if. We're not doing that. We're just transferring the asset from the C into the S. But since we have a gain, we have a built in gain. So what is the fear here? What is the IRS is concerned about? Remember under a C corporation, you are subject to double taxation. So what does double taxation means? It means if you sell those assets, if you sell those assets, the court, the corporation will pay taxes on those on the on the gain. Then the shareholder or the shareholders will pay taxes again. So we're paying taxes twice on these gains if we were a C corporation. Now what the, what the IRS is trying to avoid is you converting from a C to an S and doing what? Then selling those assets. And what happened under an S corporation? You are only subject to one tax, which is the gain flows to the shareholder and they'll pay the taxes once. So this is what they're trying to avoid. This is the big picture. So under those circumstances, the unrealized gain stemming from the increase in the value of the asset is referred to as built in gain and a subject to something called built in tax. If when, when does this build in tax kick in? If the appreciated asset was disposed within five calendar year from the date we selected. So how would you avoid this? You just wait five years being an S corporation, then you can sell it and you're no longer subject to that built in tax gain tax. So the IRS says if you're going to hold it for five years, your, your, your, your objective was not to avoid the taxes. They would let you go and you'll pay taxes once, which is the shareholder. Now what is the, what is the built in tax rate? The built in tax rate is, is equal to the highest corporate tax rate. And for our purposes today, this could be different into the future. We're using the 21%. So this could change. So if you're looking in 2025, 2026, you're looking at this recording and this changes just the highest corporate tax, whatever that highest corporate tax is on the date of the sale, not on the date of the conversion. The net gain after the tax is then passed to the shareholder as taxable gain. So it's passed also as taxable gain to the shareholder, the net gain. What are the exception? When does this built in gains don't apply? Well, let's go through it. And if you understand when it does not apply, you would know when does it apply? Well, if the S corporation was never treated as a C, simply put, you created the corporation and in instantaneously, you made the election, it's an S, therefore it was never a C corporation. Therefore this tax don't exist. The sale of the asset that was appreciated occur after the end of five years. I just told you, if you wait five years, this does not apply. The asset was acquired after the S status. Of course, if you purchase the asset after the S status took place and the asset appreciated, this does not apply. Also the appreciation of the value of the asset was due to an event after the S election. And this is what most people would argue that this increase in value occur after I selected my asset. That means I did not have a gain, an unrealized gain when I was a C corporation, it happened after. Let's take a look at an example to illustrate this concept. AP, a C corporation elected the S status during the current year. At that time of the election, they had assets with a fair value of 520 and adjusted gain of 325. Here we have the potential of built in gains. Now, if those assets were sold within five years of the election, a built in gain of 21% on the difference will apply. Therefore, we'll take 525, which is the fair market value, minus the adjusted basis, and we have a gain of 125. Additionally, the shareholders should report a taxable gain for the net gain of 195 or $154,050. Accordingly, a double taxation is imposed on the built in gains. So we did not get away with this built in gains. It was, it was taxed twice, the shareholders as well as the corporation. And this is what we're trying to avoid. Now how to determine the gain? How to determine the gain in order to pay the taxes? For the purpose of determining the built in gains, the gain is limited to the lesser of the entity's taxable income for the year. We have to look at the taxable income and the aggregate net built in gain for the corporation at the time, it converted to the S status. So we have to do what's called the netting process, net built in gain we have. Net means gains minus losses. The account of the unrealized gain is netted against the unrealized losses from the contributed asset. The net amount sets an upper limit on the tax base for the built in gain tax. So we have basically an upper limit. The built in gain may be offset also by any NOLs or unexpired capital losses carried forward from the C corporation. Also what's going to help us reduce the taxes, any NOL or unexpired capital losses because capital losses are carried from the C corporation, now we can use them to offset this gain. Let's take a look at an example to illustrate this concept. During the current year, Lili Inc. had an S corporation reported built in gain and losses of 95,000 and 20,000. What can we do? We can net them out. They net to 75,000. Lili also had an unexpired NOL of 12,000 carried forward from the years when it was a C corporation. Remember, at some point there was a C corporation. Lili's ordinary income for the current year is 68,000, determined the amount of any built in gain, if any. Well, the first thing is yes, there is a built in gain and it's going to be the lesser of the taxable income for the year, which is 68,000, or the net built in gain of 75,000, which is the difference between 90 and 75, which is the lesser, the lesser is 68. Now we're going to go a step further. The lesser amount is 68, however, before we apply the tax, we are allowed to deduct $12,000 from the NOL. Therefore we're going to take 68 minus 12, and what's left is 56, and that's subject to 21% tax, which is 11,760. Now also the gain will be applied to the shareholders as well. They'll have to pay taxes. It will pass through them, and therefore we had experience double taxation. What should you do now? You should go to Farhat Lectures and look at additional exercises, multiple choice, two falls. That's going to help you understand this topic.


Welcome to the 2016 NCHA Futurity. I'm here with Jodi McLaughlin, the winner of the limited non-pro. Jodi wrote something to believe in and scored a 222. Congratulations to you, Jodi. Thank you. Awesome score. Yes, thank you. It was a lot of fun. So how are you feeling coming into the event? You know, I was taken by surprise a little bit. I wasn't just planning on showing her in the non-pro. Unfortunately, we had a little tough luck and open. And so I decided to show her in the non-pro. And we just, we really didn't have any great draws going in. So we just kind of survived every round to advance as much as we could. And the semi-finals, we, you know, we led the semi-finals with the 17.5 and she was really good. And right after the buzzer, I kind of had a cow that I could really ride her. And I told Brett, I said, wow, that was really fun right after the buzzer.  And so we could really drive up and just have fun there. And she showed off.  You know, I wrote her a lot early on as far as I got to work or some because we thought she would be my non-pro horse. But then she was so nice that she was definitely Brett's open horse. And, you know, I've ridden her all the time getting her ready and everything, but I had not worked her a great deal before this. Now, he had a bit of bad luck showing, but you've obviously done extremely well with something to believe in. Tell us a little bit about her. She's been incredible to us. We've had her since the very first saddle was put on her as a two-year-old. Buffalo Ranch, Brett owned her and Brett worked for Buffalo Ranch. So he trained her. She was put in the two-year-old sale twice, once at the Derby when they did their dispersal sale, once at the Ferturity. She no sold both times and we purchased her after the Ferturity last year for ourselves. And we just have known all along that she was an incredible horse and, you know, we got to show it off finally. She lived up to her name. She's definitely been something to believe in. You had a big field. You came out in the second set. I guess Peter Ryan had kind of set the benchmark at the 219 right off the bat. What were you feeling about, you know, what you really had to do? You know, I was really confident going in. I just kind of treated it more like a weekend event and I've gotten to show a lot of weekends this year. And so I just wanted to drive way up and I knew my mare would do the rest of it for me. I just needed to get her shown and get her cut clean. And so that's what we did. You know, our first cow was a little more cow than what we thought it was going to be, but she never missed it. She just went off across there and stopped every single time and came back through. And, you know, that cow could have been one that we had a lot of misses and a lot of penalties there, but she never missed it a single time. So it was more credit earning than anything. Now you had the semifinals the same day. How much of a concern is it to know that you have to show a horse twice in the same day? You know, when I looked at the schedule, I was a little concerned about that. But fortunately, the little mare that we call Kate, she has got a great motor on her. So it really wasn't a problem. She has been laying down most of the day today. She's getting a good little rest. But she really, she took it great. You wouldn't think she was a three year old, honestly. The way she's just physically fit and mature, you would think she's four or five, at least. So it really wasn't a problem for her. Now, this is not the first title you've won in the Will Rogers. You have an amateur title from about 10 years ago. Is that right? Years ago. I've only shown in the Will Rogers twice since 2006, when I won the Derby on Platinum Bob. And the last 10 years, I've not gotten to show a whole lot. I've been raising babies and helping Brett and starting a business. Sounds like he needs to put you on some more horses. It was a lot of fun. I was glad to be back in the showpin this year. I was very blessed. And I bet all your students are very proud of you too. Yes. I have a wonderful staff at school that took care of things while I was out showing last week in the World Finals and then in the three year old and then this week in the finals. And they, they sent me pictures constantly of them watching the webcast on the big screen. So it was fun to see. All right. Well, congratulations. Thanks for joining us. Thank you. I appreciate it.


Russian A-50 plane was hit by Russia's own air defenses over the Azov Sea. A rare $400 million Russian early warning and control aircraft and an Ilyushin plane were hit by Russia's own air defenses over the Azov Sea. Multiple Russian telegram channels reported that Moscow lost a Buriev A-50 Schmel NATO reporting name Mainstay in a case of friendly fire. It was also reported that the Ilyushin Il-22M airborne command post was damaged. The Raibar telegram channel, which has links to Russia's defense ministry, said the aircraft could have been struck in friendly fire from Russian air defense. Ilya Ponomarenko, the Ukrainian journalist, said on X that if confirmed it would mark the biggest Ukrainian air victory of this war so far. The Raibar telegram channel says that there are not many A-50s and the specialists on them are generally unique. If an aircraft of this type is hit the crew will not be able to escape. The option of friendly fire from the Russian air defense is not at all theoretically impossible. Unfortunately for two years there were enough such cases but there was no tendency to correct it at all. The channel added. It is noted that the following questions arise regarding this whole situation. Why is the broadcast of the pilots of the surviving Il-22 open and written by everyone who is not too lazy? Why do Ukrainian formations still almost instantly learn information about any casualties of the Russian armed forces? If this was the work of Ukrainian air defense then where were the launchers driven so that the Azov Sea was in the affected area? The channel added. Russian military correspondent Yuri Kotenok wrote that Russian air defense systems are not working normally. It was noted that this is not the first case of Russian aircraft being shot down by its own anti-missile systems. Russian military correspondence wrote that a plane was shot down on October the 6th, 2023. British intelligence also wrote that on September the 28th, 2023 the SU-35S aircraft was shot down by Russian air defense systems in the Tokamak region. The Rybar channel said that poor communication and broken recognition system led to the accounting of the Russian air defense systems for the SU-34, SU-35S and SU-30SM aircraft as well as the Ka-52 helicopters which have been lost since the spring. Another Russian telegram channel, Voyeni Osvedomitel reports that Russian planes are often attacked in the rear.