Pat testing regulations. Pat testing is the name of portable appliances testing in several countries like the United Kingdom, Ireland, Australia, and New Zealand. With Pat testing regulations, electrical items and appliances are checked regularly for safety. The official term for this process is service inspection and electrical equipment testing. Here, we are going to discuss Pat testing rules and regulations in the UK only. Presently, there are no absolute legal requirements for the Pat testing process. The UK government has rules and regulations to keep people and businesses safe and secure. You will be required to perform Pat test for commercial settings, to fulfill different health and safety regulations. Pat testing is needed for all HMO landlords, to conduct a Pat test on an annual basis for the electrical appliances. Presently, private firms are not required to conduct Pat testing within the properties. If you follow Pat testing regulations, it will be helpful for you to make sure that portable appliances are safe and secure in your business. It will also help you to avoid violations. Pat testing regulations were enacted to make sure that all the companies are compliant. Thus with the safety and health of Act of 1974. Furthermore the electrical work regulations of 1989 and the supply and use of work equipment of 1998. Finally the regulation on health and safety management of 1999. Current law requires all employers to maintain and make sure of the safety and security of portable appliances. It is used to test for equipment to protect against damage and to ensure that these items perform properly. Pat testing regulations and Pat testing Act. The Pat testing Act requires all homeowners, employers and even individuals who are self-employed to ensure that their movable electrical equipment is safe and fit for use. These items must always be safely maintained and in decent working order. The procedures are intended to ensure that the equipment is kept safe and maintained. Furthermore with regular maintenance as well as inspection. It is also highlighted through periodic testing. The use of all electrical equipment can cause damage and defects, which makes it necessary to test these items regularly for safety. Pat is tested to make sure that all electrical appliances that are classified as movable. Furthermore those that are considered safe and secure for use. The regulations assume that any proficient person can perform this using a Pat tool or tester. In addition to the actual Pat test, the visual test of each device should be performed only by a person who is more experienced. Pat testing authorized persons. Under Pat testing regulations, an authorized person is someone who has experience or familiarity of being capable to test and check equipment for safety purposes. In general, people with knowledge of electricity as well as anyone with experience in electrical work can be considered qualified. Therefore employers, property owners and commercial people need to follow the rules to make sure that their workplaces are secure and safe. Testing can be done by various Pat testing methods and is one of the numerous services we offer. The Pat testing certification has no particular expiration date. Therefore it may depend on a few other factors. However it is recommended you have a new Pat test after every two years for your hotels, shops and office appliances. Besides stationary and IT appliances should have a new certificate every 48 months, four years. The HSE website covers this in great detail. Pat testing costs. Pat testing if often quoted in different ways. We will discuss here, the normal prices for Pat testing all over the UK. The cost of Pat testing depends on the different factors such as the number of appliances. Furthermore the working environment and factors such as travel to conduct Pat testing. The most important factor is how many appliances you have to test. You may have to pay as little as 70 to 80p for each item, if you have hundreds and thousands of appliances for your commercial space or business. But if you have a smaller number of items, you have to pay £1 to £2 or more for each item. Moreover, the charges for building sites and industrial environments can be higher. In addition, hard to reach outlets such as built-in desks, can increase the time and the cost. Expert Pat services. Pat testing is a special process that goes into detail, making sure that electronic gadgets completely fulfil the UK health and safety guidelines. Therefore as a workplace owner, with current rules you have a responsibility to make sure, that all workplace equipment complies with strict health and safety standards. This is part of the reason for Pat testing electrical items. Pat testing is a fast, cost effective, and efficient process that gives your business complete peace of mind, making sure that on-site and off-site use is safe. The Pat test can also potentially help reduce insurance premiums, which can be improved by acting as a risk assessment aid. How often do Pat tests need to be done? Generally, Pat testing is minimal, and it is not conducted more frequently than once every two years. However, the suggested frequency depends on other aspects and conditions, such as device space, type of appliance, and much more. What needs Pat testing? The Pat testing outline is generally to test any movable or portable appliance. Essentially, if the appliance has a flexible cable or wire to connect to the power supply, it counts as a movable appliance and requires to be tested. Without Pat testing, portable appliances may cause a fire hazard threat for your building. With Pat testing, you and your appliances can be safe and secure. It also reduces the chances of any kind of threat or tragedy. So, to remain safe and secure, you must fulfil all Pat testing requirements. Who can perform a Pat test? As per rules and regulations, a competent and proficient person can conduct a Pat test. You can also take a Pat testing course to achieve Pat testing qualification, or hire a qualified electrical company who can do the work for you. We are able to offer this service for you. A competent person can be defined by the following. A competent person must have. A good electrical work experience. Proper understanding of the system. A worthy practical experience in the relevant system. Proper knowledge of electricity. Ability to know if it is safe to move forward or not. An accurate idea of the dangers that can arise around appliances. Knowledge about the necessary precautions to avoid potential dangers. If someone fulfils all the above discussed requirements, they are suitable for Pat testing. For a free quotation, please visit our website, nmcabling.co.uk, or call at 019 23 888 588.


I love the diversity in the work that I do. I love that I can travel with my job, I can do it anywhere in the world. I can move into different areas, different industries. It's constantly changing, so I'm always challenged. And I love meeting new people, which this job allows me to do. There's so many different areas of security out there. You can start off as being a lawyer and move into security. You can start off in marketing and move into security. It is a very exciting area, which enables you to do so many different things. And as I said, it enables you to travel. I've traveled to many different countries. I've worked in France, in London, I've worked in the Netherlands and Belgium. And it has really been a very exciting role for me. So I encourage anyone to go ahead and try it. When people ask me, OK, what cyber security is it all about? Antivirus and being a hacker? Is that what you do? And I go, it's not always just about that. There's a lot more to security. We need more people that have technical skills, but also are able to speak to the business. There's a lot of perception that it's all about technical and it's all geeky and you have to wear a hoodie or you have to have your hair dyed and it's not very feminine. There's a lot of aspects in security, which is very interesting for a woman. I really feel that I'm actually making a difference and changing and protecting people and businesses. I'm also the founder of the Australian Women in Security Network. So we're over 500 people, men and women, across Australia that are aiming to connect and collaborate and talk about trying to bring more women into security. So we have chapters in other different states. So we've got people in Brisbane, in Perth, in Adelaide, Canberra and in Melbourne and we come together to try and bring women graduates and people that are in the industry to try and bring the support network together to help people stay in the industry and also to bring more people in. Thank you.


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 evening everybody. Welcome to the first AccessToTrader.com nightly update of 2024. I hope everybody is having a great holiday season. I want to wish everybody once again a very happy and healthy, right? Happy and healthy New Year for 2024 and beyond. If you are brand new to the channel, guys, thank you very much for finding us. Thank you very much for tuning in, spending some time with us. If you like the content, if you like the daily unbiased jargon, all we ask is again, guys, take a second, click a like, share with your friends, comment. Tell us how you're doing. Tell us about your trading style. Tell us about anything that can potentially help the consumers of technical analysis get better. And that's what we all are trying to get better every single day. If you are on your year one, if you are going into year 200 or anything in between, again, share your experiences. You never know when it's going to help somebody else. So let's talk about today. Obviously, over the weekend, if you logged in at any point on social media, you would see euphoria through the heavens. People who are trading six months a year, this is our year, bro. This is it. This is it. This is it. That's great.  It's easy to kind of dive headfirst into the Kool-Aid, right? But the problem is we talked about this on the weekend video is the problem is we were up 54%, right? So by no stretch of the imagination, was it a slam dunk, a given, or anything else in between that we were going to continue this massive rally? You know, was it possible that we could get a decline for the year of 10, 12, 14%? Everything's possible. Everything's on the table. But like I said on the weekend video, even if we would retrace back 12, 14% for the year, we're still net up about 40% in a two-year cycle, which is super duper bullish. And the one thing that we did see today very quickly, the whole euphoric dude, right? Dude and bro, you know, we're going to make a killing this year. All that enthusiasm, all that euphoria died quickly on the vine pre-market. When you woke up this morning, Apple got a pretty ugly downgrade today with a price target of 160, you know, down a lot. At one point, it was down almost $9 in the day. I don't remember the last time Apple was down $9 non-earnings days. So that obviously had an incredible ripple effect throughout technology. And again, this market doesn't need news. The point is people are trying to find what was the news that sparked the sale? Guys, we're up 54% in 2023. The market doesn't need news to have a pullback. And that's what we got today, very, very aggressively. Tesla was the second big, was another big story today. They came out with their, I believe it was their fourth quarter delivery numbers. They looked great. They looked absolutely great, right? They looks like, you know, very, very bullish, very bullish on their report. But again, when the market ticks down and the market gets dragged down, you know, and no report is going to help you, right? And the majority of the day, Tesla did a decent job today, not giving a whole lot back today. But the point is, again, it's still swept up in the curb, in the selling curb. So the question is, what happens, right? And there's an old adage, again, one of the many wives tales that's spread on social media and spread throughout the years. And this is it, right? However, the market goes in the first week, it's a really good glance of what the market's going to do the rest of the year. Guys, I promise you, that's not the case. Okay, if you guys remember last year, the first two, three weeks, there was selling, selling, selling, we were up 54% of the year. The same way people talk about Fridays, I never trade Fridays, the worst day of the week. Well, Friday is usually my best day of the week, because Fridays are usually option expiration. And there's a high probability that deep out of the money, coal or put buyers, depending on which way the market is going, they're going to push that stock in that direction with institutional money flow. So there's a lot of stuff, right? There's a lot of stuff, a lot of theories, there's a lot of myths. Guys, every single year is different. Every single start of the year is absolutely different. Coincidence does not make it a solid, concrete wall of information. Everything is completely different. Having said that, we have to look at the data, okay? And this is what the data is telling me from today. If you watch the weekend video, we talked about kind of this, you know, area of 40750s was the 10-day moving hours. This is last night's video. 40750s was kind of the little baby line in the sand, not to the whole formation of the whole euphoric bull market, but just kind of short term, right? A short term situation. What we saw this morning was very different than we saw the previous year. What I mean by that is we got a gap down today significantly below the previous channel, right? And the craziest part about that was there was absolutely no fight, literally no fight. There was nobody buying the dip. There was no put, you know, any type of resistance from the bulls. They just basically just kind of rolled over and died. And if you look at the 60-minute view, right? This was the whole day, right? This was the whole day, literally the whole day. The market gap down, kept on going down, little rally here, you know, double top got rejected, went down, tested the 20-day moving average, and then bounced again. And if you look at where we closed today, we did test the 20-day moving average. We went through it and reclaimed it on the close. So, at least now going into tomorrow's session or the day after, because this, again, it's very possible that we can have an inside day tomorrow. What I mean by an inside day is, especially if you're brand new to technical analysis, an inside day, basically, if it becomes a dead cat bounced tomorrow, it's not going to take out the high of the day. It's not going to take out the low of the day. It's going to be literally on the inside candle of today's channel. And that's not what the bulls want to see. What the bulls want to see is a very early aggression, okay, and start building above today's previous highs. Now, again, before you say it's impossible, well, this is the stock market. This has still been the rabbit stock market we've seen from 2003, just because the calendar and the date is showing as 2024 doesn't mean we can't easily reclaim back today's channel and start going back to the five and 10-day moving average. However, there's a flip side of that as well. And this is kind of where you really understand that the dynamics that, hey, gravity is real, right? Gravity is real. We don't have to have a bounce and reclaim today's channel. Gravity is real. And if we start losing 20-day moving average, and right now the low of that 20-day moving average is $400.24, that's today's lows. So if the bears start reclaiming back today's lows and start building in any close below 400, that's when you have a problem. Not for me. Not for anybody who trades both sides of the market. If you're a permable, right? If you're a permable, buy the dip no matter what, bro, and nothing bad will happen as I'll keep continue buying the dip. Number one, revert back to 2022 and tell me that worked really well. But number two, if we do get a close below 400 bucks on the Qs, then you can see it, right? The whole premise of the PS60 theory is stocks trade from supply to supply and demand to demand. So here's a perfect example of stocks trading from demand, right? Closed on Friday, the 10-day moving average, traded to the next demand zone, which is the 20-day and held. So any close below 400 on the Qs, well, the next demand zone is 390, right? 390. It's not a misprint. It's 10 points on the Qs. Again, I know for those who started in 2023 and enjoy this incredible magic carpet ride, you say, well, there's no way that's going to happen. The buyer is going to come back and buy the dip. Well, they weren't there today, right? They weren't there today. And the whole point is if we do close below 400, maybe we'll go on a straight line, but below 490 is the next support. So kind of give you guys a little bit of a fact that what the bulls need to do tomorrow is to reclaim today's highs and the bears need to confirm today's lows for more selling. And as you can imagine today with this, you know, big, big move down with the Qs. At one point they were down 2%. They closed a little less than, I think it was down 1.6%. Yeah, 1.6%. They closed down 240 points. As you can imagine, anything that rallied, anything the NASDAQ 100 that rallied got hit, you know, got absolutely hit. I mean, looking, you know, looking Netflix got murdered today on NVIDIA. Great job for all you guys who caught the pivot on NVIDIA, went about $7, $8. Tesla gave up its gains, you know, gave us a nice little move downside at the open.  So today's line was saying is obviously applicable going into tomorrow's channel for technology. However, however, not all was grip, right? There was plenty of market, plenty of money going into other names just because money got pulled from technology doesn't mean necessarily mean all the time that the market needs to get pulled everywhere. Usually it does, usually it's a very uniform either selling or buying, but the good point for the bulls, right? If there is a glass half full kind of point of view of a bullish bias going into tomorrow's session is what the other stocks did, what other groups did. And if you look at some of the other groups, you'll kind of get it, right? Look at, you know, look at the banks, right? Banks had a really, really strong day today. Citibank, what nuts? Goldman Sachs, highest close in this whole formation. Looks like it's going higher. Really good move there. You had the casino stocks, right? Casino names are really, really strong today. Look at win, right? Win, really big move today. The win is actually one day away from reclaiming the 150-day moving average. Look at Las Vegas Sands, right? Las Vegas Sands, big, big multi-month move today. Really, really strong there as well. Look at the consumer cyclical names. They might not be something that you're going to day trade, right? But look at the consumer cyclical names. Kellogg, right? They make cereal. Procter & Gamble, right? Another big move up on Procter & Gamble. Again, not sexy looking charts, but the point is the rotation went into those names. Look at the biotech names today, right? Look at names like Avi. Look at the move on Avi today. We had this thing over the weekend. For all you guys who have traded today, great job, right? Look at Avi. Went nuts today. Look at a name like Insie, right? Had a big breakout today. Both those names need to, you know, if you're a biotech trader, they deserve your attention, especially into any week open. Look at a name like Hymns, right? You guys know Hymns. Come on, you know Hymns, right? The ED company for him and her. The ED company, you know Hymns and hers. That's what she said. That's what I said, right? Look at the stock here.  So there's definitely areas of bullish action going into tomorrow's session. I am a mega cap, mega cap technology trader. So I really don't care about the rest of these stocks. But the point is I am definitely watching the queues tomorrow. I'm watching Tesla. Tesla can't rally tomorrow and starts losing this bottom channel. Can have more weakness. I'm watching the video for tomorrow. Keep this in line. Like I said a few minutes ago, there's a very good chance that we do have an inside day, quote unquote, dead cat bounds day. If that's the case, then we'll definitely be playing ranges, being a little bit more patient tomorrow. But if the queues start confirming back down and start losing 400 and stable 0400, we will have a second day of selling bias. That's it guys. That's it.  Now that it's out of the way, that's it. It takes just another trading day like everything else tomorrow back to business. Again, technical analysis over everything. And as long as you embrace that, technical analysis will embrace you. Guys, have a great night. Have a great day tomorrow. God bless. Welcome to 2024. And with God's help, I'll see you all tomorrow. Take care.


Hi, yep, I'm starting out. Hi, so I am Venus and I'm going to have my presentation now. The topic is exploring the possibility of outreach in Asia. So first of all, I would like to introduce myself to all of you. I'm Venus originally from Hong Kong and I have been working on different Wikimedia projects before. So mainly focusing on Wikimedia or Wikipedia Education Program, GLAM and also Movement Strategy. And I think this topic is quite interesting because it's like combining both my experience as a Wikipedia in Asia. So the very first question is, outreach in Asia, is it possible or is it impossible? I think the answer is quite clear, it's very possible for Wikimedia community or like for the whole movement to reach out in Asia. And but here is like another question. So why do we reach out in Asia? Why do we need to focus on like why would I bring up this particular topic here now in this presentation Asia as like the region that I want to reach out? I think there are quite a couple of reasons that I think we, I have thought about. Of course the first one is about free knowledge. This is like the mission of Wikimedia movement. And I think it's very important to include the knowledge from the region in our movement. And of course also unlock the participation because if you look at the Wikimedia movement or like all these projects that in the movement, for most of the time or like for most of the situation, a lot of participants there from Europe and not so many participants there from Asia. And we would really like to improve the diversities of contributions in the movement. And this is why that we would like to or like I think that it's very important to include Asia in like our projects or like we need to reach out more in the region. And of course exploring the local partnerships. Taking Glam as the example, I think that it's very important that for the Wikimedia movement to explore the local partnerships in the region. In Asia there are lots of museums with great collections of art. And so far these information on this knowledge or resources, they are still like only available in the region. And I see Wikimedia as an ideal platform to share knowledge with all over the world. And this is why that we need to explore the local partnerships in Asia. And of course inspire localization because I think this is also very important that we as a movement that we can bring our movement to like the region and people can really use it or like to contribute it every day. So I think that's why we need to reach out in Asia. Taking like Wikimedia as the example, this very simple page. I think everyone knows this page. This is like the very first page when you type in like Wikipedia on the searching engine. So if you look at the numbers of articles and on different Wikipedia's, you can see that on English Wikipedia, there are more than 6 million articles on it. And I would say that is a very significant number of articles. But if you look at two Asian languages, which are shows here, the Chinese Wikipedia and also the Japanese Wikipedia, you can see that both of them or each of them got around like more than a million articles on it on its Wikipedia. And the numbers when you compare it with English Wikipedia, they're not that many. And of course that they're not that many articles. And of course, we would like to increase the numbers of the articles. So here's another answer to the question, why do we reach out in Asia? Because we are missing Asia and it's rich diversity. So I think it is quite important or it is really necessary for us to work more on the region. And I think now we can do a bit like experiments. So to see why we need the diversity from Asia. So here's a little question. What would you think about when I mentioned the word arts? I think the word itself is like, it's quite interesting. And let's see what are you thinking about? So when I talk about arts, which you think of, for example, classical paintings like the Mona Lisa, or the birth of Venus, or some classical statues from museums like the ones from the British Museum, or like the ones from Victoria and Albert's Museum, or you would think about like paintings like modern paintings like the persistence of memory, or like some works from Picasso. But when I talk about arts like at this moment now in this presentation, have you actually heard about or heard of arts in Asia? So I think that's quite interesting because previously when I tried to reach out in Asia, I mean, like when I, for example, asked the other organizations to cooperate with Wikimedia movement, and when I talk about arts, for example, most of them, they just think about like the arts from the Western culture, and they don't really like think about the arts in Asia. And this is like why we need all like this, why we want to use Wikipedia as the platform to encourage people to share more resources and knowledge on Wikipedia. So just right now, have you thought of, for example, the Chinese painting, or like paintings from Japan, or like the Chinese like textile, or even like batik from Indonesia. So when I talk about this, a lot of people like see that for most of the time, or like for in many situations, like they're missing the knowledge or they're missing these type of resources from Asia. So this is why we need like to encourage people to reach out more in Asia. However, we are facing like different difficulties with outreach integration. And when we talk about like the possibility of outreach in Asia, this is what we are facing to, and it makes like the whole outreach in Asia very difficult. So I think there are like three points that I would like focus on, like when I talk about the difficulties. So the first one is like the familiarity with Wikipedia and the system projects. What I mean is like the public, they are not familiar with Wikipedia and projects, and then also with the resources, and then also with like the censorship issues in the region. I mean only in certain places, but still like this is an issue that we are facing at the moment when we work on like the outreach in Asia. So the first one is people in the region are not familiar with Wikipedia and the system projects. What I mean is like of course people, they use Wikipedia every day in their daily life. They use it like for study, they use it like for check up something like to check up something that they want to know, but they are not really familiar with like Wikipedia or like the project, the system projects. So for one common situation or like for one issue, one of the issues that I was facing to is when I work on the grant project in Asia, people are not familiar with Wikidata or like comments. So they don't know about the system projects. They thought that like Wikipedia was just an encyclopedia online. It's just about writing, but Wikipedia is not just like about articles. It's about like different type of media and like people can share online. So they are not really familiar with like Wikipedia and the system projects. There's one of the question that like one of the question I always like asked like the people, hey, do you know about Wikipedia? Do you know how it works? But this one thing that when we work on the outreach in Asia for a lot of time, or we have to spend a lot of time and effort to introduce the projects to the audience before we can really start like the cooperation. So this one thing. The other problem is about confusion. So people are not really familiar with Wikipedia and then they always mix it up with something else. For example, they mix up with Wikileaks. Obviously this is not really related to or like this is not related to Wikipedia or Wikimedia Foundation or the system projects at all, but they are very confused because they think that oh, it's Wikis. So they just come at it with Wikipedia and the system projects. And so people are very confused about like the name and then they don't know how to understand or they don't know how it works in general like Wikipedia. And of course like the first thing is they don't really understand the Wikicommunity. What I mean is like when I talk about Wikipedia and Wikimedia Foundation, very often that the people would think that Wikimedia Foundation is the organization which writes Wikipedia articles and which is not true because everyone can edit on Wikipedia, but they don't really understand how it works as a community. And they thought that like Wikimedia Foundation is like an organization. They got paid and they edit on Wikipedia. So obviously this is not true. And for most of the time when we try to reach out in the region, we have to spend a lot of time to explain like to the audience how the whole community works. And the second thing is about resources. Just as I mentioned, because we need a lot of time and effort like to develop in the region and we need the resources so much, but we don't have like a lot of resources that we can use now. For example, of the human resources, one of the problems that we are facing too or like I have faced too is always is the human resources. So for most of the time when we reach out like here are organizations, they would like to talk to like someone who is in charge. But with the media movement or the Wikimedia community, we are volunteers. And most of the people are volunteers. So we don't have someone who has like more authority or like who are in a higher position as like the representative from like the organization or from the movement to talk to the other organizations. So this is one of the problems that we're facing too. The other one is about the facilities, hardware software. For some countries or like for some communities in the region, they still need like a proper internet, they still need like a proper hardware so that they can edit on Wikipedia, but they don't have it. So this is one of the things that we are facing too, which makes like the possibility of outreach so difficult in the region. The other ones is like the software, but more or less, I mean like, for example, the language barrier. So this is one thing that we are facing too in the region because people in the region, we don't have like a share or like we don't have a common language. Most of the time people communicate with each other in English. And this is like not easy when everyone is using their second language to communicate with each other. And the third thing is about time, like a lot of people, they are like a volunteer as I mentioned, so they don't have a lot of time to invest in like the community or like the community movements. So it's really difficult for them like to stay or like they don't have much time like to work on like the outreach in the region. And the first questions or like the first problems that we were facing too is censorship. I mean in only in certain places, still like this is like an issues like for us to approach the others. When I talk about the artists, it's like the other communities in the region or like other organizations in the region. For example, like some people or some Wikipedia, they would like to reach out to other organizations to seek for the opportunity to operate. But this is always difficult with censorship, which means like they are not allowed to do it because their government doesn't allow them to do so. And it makes the whole outreach very difficult in the region. So this is like a case study. It was like the Wikipedia education program in Hong Kong that what I was working on, it was like in 2014, 15 and 16, we were working with like different universities in Hong Kong. The students from the universities in Hong Kong were invited to edit on Wikipedia. But this is exactly what I was talking about, that we were facing like the difficulties during the program or like when we reached out in the region. So like students were not familiar with Wikipedia and the system projects. So we needed to spend a lot of time and effort in human resources just to explain like an introduced like Wikimedia movement and Wikimedia community to the audience. And it makes like the whole project or like program very difficult. And yeah, so it is not that easy when we try to reach out in the region because of like these reasons. So, however, we still need like the Asian community. This is necessary like for us to invest more, for example, time effort and resources to reach out in Asia because we need the diversity. Just like now when I show you the number of the articles on Wikipedia, you can see that there is a huge difference like of number of the articles on Wikipedia. And we need like to invite a like, we need to include more people from the Asian community like to share their knowledge on Wikipedia. So in the foreseeable future, we hope to hear the voices from the Asian community. And I'm sorry. So this is what exactly we need to do. As I mentioned at the very beginning of this presentation, this is possible like to reach out in the region and to invite like more people to edit on Wikipedia to share their knowledge on Wikipedia. And I think this like the mission of Wikipedia over the whole Wikimedia movement is like to have free knowledge for everyone. And this is why like I believe that this is important for us to reach out in the region. So this is the end of my presentation and thank you for listening. So here is my comments. If you have any questions that you would like to discuss with me about the region like the the outreach in Asia or like if you would like to know more about the Wikimedia education program, GLAM or movement strategy projects that I have been working on in the region, please feel free to contact me. And here's like my email address. So you can send me emails and I will try to reply to you as soon as possible. And this is like the very end of my presentation. So thank you for listening. And I think now I will be doing wrap up soon now. And I would like to see if there are any questions for me to so no one asks me any questions, but this okay. Like I mentioned, please feel free to send me emails if you would like to know more about my work. That's the end of my presentation. Thank you.


I'm the regional chief superintendent currently for the North Coast region and the Queensland Police Service is supporting AMSAR in an ongoing search relating to a missing aircraft which has six persons on board. The aircraft left Monto Airport yesterday afternoon and was travelling to Cabulcha and to date no sign has been located of that aircraft. This is a very difficult time for the family and we are supporting the family through a liaison process and all of the families of those on board and we'll continue to do that. The operation itself is under the leadership of Superintendent Terry Borland. He's coordinating the major incident room which is running out of the Maruti Door Police Communication Centre. So I'll hand over to Terry now to explain some of the finer details and we'll be able to answer some questions after that. Thanks Terry. I'm getting in trouble for that. Currently the search is being conducted by a number of air assets by Australian Marine Safety Authority. We've got seven helicopters and one fixed wing aircraft currently searching a location west of Imble and once we find some sort of a point to put a land search in we have a contingency in readiness to move in and conduct the search. So there will be a ground search? Once we have a location that we can deploy our land search capabilities to and when we identify that point of location then we'll deploy them into that area. How many people are on standby? From our point of view the country is a difficult country so we'll be looking at the capabilities of the people that we're going to put in there. We need to at first establish a point and there's no pointing us rushing off until such time as we can get ourselves some sort of location to deploy our ground search. How would you describe the size of the search area? At this time the search area that's being conducted is the 700 square mile area of search and we've got a number of helicopters in there currently looking. Do you think that it ran out of fuel or ran into trouble? That's purely speculation. We don't know what's happened at this stage. Currently our priority is to locate the aircraft and then we'll see where to from there. The pilot works with an emergency beacon. What circumstances would the signal go weak and not be able to find it anymore? Again our information is that the beacon was active. It doesn't seem to be active now. Why it's not active we don't know. What time was it activated yesterday? The last time that we had any indication of that was around 2 o'clock this afternoon and then the search was conducted in terms of where the last known activation was. Can you confirm that this plane was one that was involved in an early crash back in the 50s that killed the pilot's father and brother or he's restored it? Is it the same plane? That's information on my word. The pilot was fairly experienced, wasn't he? Our information is that he's an experienced pilot, yes. So with the land search that's on the standby, can you give us an approximate number of people that you'll be thinking of what sort of resources or biomechs? Again, we've got a lot of capabilities in terms of land search. We'll consider our options in relation to those capabilities when we've got better information as to what area we need to search. The terrain out there is quite rugged and it's fairly intensely, heavily timbered and difficult to get at. So once we know a location we can then get a better appraisal as to what we need to deploy. How optimistic are police that they will find these people alive? How optimistic are police that these people will be found safe and well? We're always hopeful that we will find the best result and that's what we're aiming at. The conditions I guess are a little bit better for the search today? Yeah, yesterday was heavily overcast and difficult for the search capabilities today. The cloud cover has lifted a bit and certainly the aircraft have had a better opportunity to get out there and search. The land search will involve police only or SES or a whole range of people? No, as I said, we need to assess that once we get a location and what sort of capabilities we need to deploy in there. So when we know, we'll be able to make a better appraisal as to what we need to deploy. How many officers have you got in your major instant room here? At this time we've got about 10 officers in various positions within our major instant room, collating information, gathering information and providing caskings. Are you happy with the number of aircraft, seven helicopters in one plane?  Australian Marine Safety Authority, they're the ones that are deploying the aircraft. That's their capabilities not ours and certainly for mine there's a very good capability out there at the moment. There are contingencies and arrangements that work together in these types of situations. The Australian Marine Search and Rescue Authority are the coordinating and initial response agency for any missing aircraft in this type of situation. So they have the lead on that and that's their responsibility and we're working with them. Superintendent Boorland has said the responsibility will shift to the Queensland Police Service when the aircraft is located, wherever that may be, and we'll develop our capacities based on what we see then rather than what we are speculating on now. Would you call for volunteers? No. How confident are you guys that you're searching the right area? Well you can only base your search based on the known information at the time. That advice is fairly rigid and well-credentialed. So we believe that the Australian Marine Search and Rescue Authority have a clear picture of where to search and that's their responsibility. That's what they do, they do it very effectively and efficiently and I'm sure they're doing a great job. How long will they have to go for? Well as long as it needs to go. Do you know what they were doing? Were they on a charity flight or just a joyride or? Well the information at this time is that the aircraft was returning from Monto to Cabocha and that six people were on board. Was it a charity flight? I mean he took a lot of people up to Cabocha. Well at this stage we know that there were six people on board and that the aircraft was returning to Cabocha. To confirm that flight was due to land at the quarter past two? The aircraft was returning to Cabocha on a flight from Monto to Cabocha. Where are the passengers from? Are they from the Cabocha? They're people from South East Queensland. From Brisbane? South East Queensland. And Mr Porter's partner was also on board? There were six people we believe were on board. That process will need to be established in finality. But at this stage we believe six people were on board. Are there medical crews on standby as well? Well there's a whole capacity. It just needs to be dependent on the location of the aircraft when it's found and then the capacity to resource that when we get to that. How quickly will the police respond once the aircraft's been found? We're ready to go now. We're developing our contingencies for a whole range of situations and we're ready to go. Is this sort of thing being a plan in place in case something like this happens? Well tragically this is not the first time in Queensland there's been an event of this nature. Queensland Police Service has always worked with other agencies and coordinating bodies in these types of situations. The processes work very well and we'll do so on this occasion and we're ready and supporting other agencies and working together. So thank you very much. Great.


So last night when I was watching the chiefs in the bills game I noticed something from the chiefs that I was really feeling like if the ravens used that it could help out the Offense that much more and it's not anything difficult. It's not anything over complicated. It's actually not anything complicated at all And I was like man, this could help out Lamar give him just a little bit more time in the pocket It could help out the offensive line and blocking those past rushes And it could just help them pick up whoever's rushing the passer on those particular plays and it could also generate some free yards And what's that? Something as simple as the hard count the hard count I Saw Patrick in my homes and of course the offensive line is pretty good even though they banged up right now But the bill's past rush is really good And what but when I saw Patrick my homes used that hard count What it does is it has the guys who are rushing a passer when they do that little?  He's probably coming in.  Okay. I gotta pick this guy up I gotta watch him cuz they coming in and Then sometimes as we see with Aaron Rogers like just about every game except when he got what what button bucks It causes it can be a free play because it can cause the defense to jump off sides and Even if the defense doesn't jump off sides He doesn't and they jump just a little bit, but you don't snap the ball yet. It can have them hesitant to it Okay, we can't we cannot time the snap count We can't time it on this play so we got to wait until he got the ball in his hands or today snap it to where we can go after Because a lot of times with that good pass rush some guys are getting some great jumps some great jumps But that's one thing that I feel I could just help out this Ravens often and again It's like I said it's something simple and I just felt like we're gonna get the question from subscribers tomorrow Cuz y'all sitting in plenty, but I just felt I had to share this tonight because I was when I was looking at the game I was thinking man Ravens they don't do that too often Lamar Jackson. They don't they don't he doesn't do it too often So it's something that definitely couldn't hurt couldn't hurt at all and then something else Just to mainly cuz again, we know that with the whole Miles Boykin thing horrible He said a with Miles Boykin and Lamar Jackson. He said It's not that it's not that Miles Boykin doesn't know the plays. He said it's just that Miles Boykin had he heard something else Lamar said one thing but Miles heard something else. So that's why they went on the same page so I Don't know but anyway Something that could help Lamar Jackson and Miles Boykin so to get in the rhythm and really Lamar Jackson and any of the rest And even even if it's what Hollywood to like you you got it like and I've said this before in other videos to simple slam plays Slam play just slants Send these receivers across the middle of the field Slants crossing routes. It does not have to be anything too complicated Simple stuff and these are easy plays easy passes to get your receivers in rhythm Get their hands used to catching the ball and just really get their blood flowing and get them in their game Because it happens when when guys they they get it. They're not being involved in the game so Not that it's an excuse or anything, but this can lead to guys just possible more drop passes and Just did their heads not being fully involved their minds not being fully involved And this can also help spread the ball around and this can give them more chances more opportunities And again, like I explained before like mainly with Miles Boykin if you see you just send them on a slant Simple wrap send them on a slant across the middle of the field especially if they're man defense If they man coverage then you send them on a slant the cornerbacks either trailing them or the cornerbacks behind So miles Boykin is gonna be the he's gonna be closer to the ball than the cornerback is Lamar hits him Miles Boykin all the six four Whether Lamar hit him in a chest or Lamar put it out there so miles Boykin can reach out and get it He has leverage over that corner. He got position over that corner So my and again the corner is gonna be Ain't too many corners out there. That's gonna be six four Not too many of them ain't no more Brandon Brown is walking around like that So the corner at the tallest might be like six two six one So miles got size on So use that find a way to use that Like I know a lot of us especially me envision that the Ravens will be using miles working in the end zone Using them on fade routes and stuff and we still hoping that that comes But if that's not gonna be the case then Just start off with the simple stuff Start off with the easy stuff Because you you don't like and we all of course we've been talking about them possibly trading for a wide receiver trading for a passer so trading for this trading for that and We know that the Ravens they ain't gonna make a bunch of crazy moves. We don't even know if they're gonna make even one crazy move but if Before we go out and get somebody or while you still got these guys on the team might as well make the most of it, right? Because they need to create an offense That is Indefensive and that's what Eric Dacosta said he wanted. He said he wanted an indefensible offense Indefensible off so he wanted this offense to be where it could not be defended So right now if you take away 15 if you take away 89 This offense it can pretty much be defended So that means other guys got to get involved too and Again, it's not any It's not it doesn't have to be some crazy hard solution Now again, I know the Ravens offense numbers wise. That's that's why we say numbers Don't really tell the whole story because there's that statistic. Oh, yeah Ravens They had they the only team that scored in every quarter this season and that's great. Don't get me wrong. That's great But the numbers don't tell the whole story and again a lot of it is based off of comparing to last year Which I know a lot of us are guilty of especially myself very guilty of comparing this season to last season And overall a the Ravens have been successful and that's that's what matters the most They have found a way to win five out of their six games and they haven't been blown out in their loss I mean a they got they got handled But it wasn't a blowout But the score was the score was a little bit closer than the game was But anyway With the Ravens there's and there's something else that another simple way to help this offense in the offensive line It's play-calling We know it's so cliche to say it, but it's true offensive linemen. These are big guys These are huge guys 300 350 pounds. These guys are giants. They are big and they are physical So in order for them to be at their best to be at their strongest Usually guys that are that big and play football they want to be physical with somebody so in order for them to be physical What should you do? The do you want to have them standing in one spot and going like that? No, well you do but To really get them engaged and really get them going really get their blood flowing Clawson running place running plays Straight up the gut straight forward running place and This is something that can help the offense help the offensive line because if they just running straight at the defensive line It's a who's stronger between me and between you which one is it which one of us is gonna be stronger and This is something that it is so simple, but I feel like it could be so effective in helping this offense move forward Because again, like I said the numbers for the offense. Okay, right now Lamar passing numbers I know my guy white Iverson put out a great tweet today that Compared the numbers before the buy or the numbers going into the buy versus the numbers going into the buy between this and last season and As far as Lamar's efficiency Pacerating up. I think you only threw he threw 10 touchdowns to two interceptions in last year It was like I think nine touchdowns to like four or five interceptions I forgot what it was So the numbers are looking better. He's taking care to ball more as a quarterback But the passing yards are down and the the Russian yards are down But hey They're five and one They're five and one and last year going into the buy they were five in two Five in two So with that being said it's a beautiful thing that we can have these conversations About the Ravens and how they can improve on these different things But while they have that while they do still have room for improvement, they've been very successful in their games Thus far so that's a beautiful thing But anyway, I just wanted to share my thoughts on that and because I really really feel like that could go a long way Anyway team keep it clean. I appreciate y'all. I love y'all and just like the Ravens all with the schedule this week I'm out You


Morning traders, Patrick Menome here with another Tick-Mill Charcets wants to draw your attention today to potential opportunity in the Kiwi-Swiss, one of our four-hour time frame, and we're in a potential ending diagonal pattern here with this ascending trend line, something we want to pay attention to. I'm looking for the current move to extend up into the equality objective versus this swing low at 63.67 at 64.76. Here we have the 127 extension of the last swing to the downside and we have projected daily range resistance and projected weekly range resistance. So I'm looking to fade, fade strength here at the 64.80, looking initially for a pullback into 63.80 and ultimately a move down to test 63.42. As always, traders, plan the trade, try the plan the most importantly, and reach a risk. Until next time, thanks very much.


Hello everyone. My name is Ming Tiu Xiang. I'm a senior principal engineer at Intel. Today we're going to talk about machine learning with WebAssembly, together with my colleague Andrew Brown. So here's our agenda. We'll start with the introduction to Wazhi and the Baiko Alliance. Then we'll get into some of the design guidelines for Wazhi and N. Such as, you know, loader versus builder and machine learning model as a virtual prototype. Andrew then will start talk about how to write a Wazhi and N application in Rust and Assembler script, and as a reference implementation architecture on modern time. And he will then do an image classification demo with Wazhi and N, and then followed by performance advantage analysis of Wazhi and N. Then we'll end the presentation with call for action. So what is Wazhi? Wazhi stands for WebAssembly System Interface. It is a modular system interface for WebAssembly and with focus on security and portability. So the body that's driving this specification is a subgroup of W3CE WebAssembly CG, and Wazhi and N is a Wazhi module for neural network, and currently we're in phase two with the Wazhi community group. So let's talk briefly about the Baiko Alliance, which is an open source community dedicated to creating secure new software foundation, you know, built on top of a technology such as WebAssembly, WebAssembly System Interface, interface type, module linking, et cetera. And the Wazhi implementation is definitely an important goal of Baiko Alliance, and the first reference implementation for Wazhi and N is built on top of Wazhi type, which is a Baiko Alliance project. So let's dig deeper into, you know, why we want to do Wazhi and N. So the first question we want to ask is, you know, why do we need WebAssembly for machine learning? And it turns out that people do a lot of machine learning training, and then they typically deploy them to a variety of devices with different architecture and operating systems. That's where the WebAssembly come into the picture, because it provides the ideal portable format for deployment of those models to those devices. So the next question is that, you know, why do you need the WebAssembly System interface, right? The reason is very simple, because typically machine learning workload requires a lot of performance, and the special hardware support acceleration are necessary. You know, examples of AVX-512 for CPU, and the access to GPU, TPU, et cetera. And the current WebAssembly spec only supports a limited set of parallelism, you know, especially with this 128-bit SIMD, so that's clearly not sufficient for near-native performance for those machine learning workload on modern hardware. So later in the presentation, we'll actually demonstrate 7232X performance improvement with this YDNN approach that we are proposing over a pure WebAssembly approach. Let's take a look at the WebAssembly runtime environment and the use cases associated with each of those environments. So there are three different types of environments for WebAssembly to execute. So the first one is the standalone environment, where, you know, a WebAssembly application run on top of a standalone WebAssembly virtual machine, which called into the Wazzy software stack for system APIs. So typically, you know, standalone application or cloud application such as content delivery network, function service, envoy proxy type of cloud middleware, and resource constraint environment such as IoT or embedded environment.  So the second one is, you know, the current mainstream browser environment, where that you have access to a JavaScript virtual machine, where that a WebAssembly virtual machine is a component of it, and they have access to WebAPI through JavaScript environment. That's where the WebNN API lives, and all the browser application or PWA will make use of this environment. So the third category is the Node.js environment, which is a reuse of the VA JavaScript engine in a standalone environment, and it would make use of WebAPI as well as Wazzy API. So this is a case that when you don't have a lot of resource constraint, and especially when you need to have both JavaScript and Wazzy WebAssembly support, this will be an ideal situation for those type of applications. So let's take a look at some of the design decisions we have made for Wazzy NN. In this case, you know, loader versus builder API. So when we started designing Wazzy NN, you know, those are the two options that we could take. And we worked really closely with the WebNN team, and, you know, they went through similar exercise. So in the end, we decided to take the model loader API first and push out the builder API to a second phase. So the reason for that multiple flow and, you know, influencing is obviously the main machine learning use case. And that's our initial focus. So a loader API is really an easy way to support influencing. In terms of future completeness, you know, machine learning is still evolving rapidly with roughly 20% growth of new operations each year. So a builder API will probably take multiple years to be, you know, usable and roughly functional, complete to cover all the major operations versus a loader API, which we will treat a model as an opaque object and we can just define operation related to the machine learning loader and get done with it. So that's a lot easier path to market. And a loader API is a much simpler API with a better IP protection opportunity. And the next slide, we actually talk about how we treat the machine learning, you know, model format so that we can make the machine, the main web assembly program, you know, framework and the model format agnostic. And it's also very easy to support a variety of devices, you know, CPU, GPU, FPGA, TPU for the loader API. So for the model builder API, you know, the main advantage of it is that you can provide like operation specific acceleration. You know, this is very useful for some machine learning framework that lacks support, you know, by some model converters or by some backend machine learning engine. In that case, you know, if you want to compile the specialized machine learning framework completely into web assembly and have some specific operation accelerated by the hardware, then the builder API will be very useful. And we think that we can look into supporting that sort of usage in the phase, second phase of Wadi Anand. And we could potentially leverage the work already done by the WebNM team. Let's talk about machine learning model as a virtualized IO type. Our view of a machine learning model is a virtualized IO type, which you know, you think of a journal Wadi direction. This type is just like a media type with its own data and metadata and defined operation associated with it, such as the load. So the approach we take is to, you know, to push the mapping to actual implementation to the edges. That way we can keep the main web assembly program portable and framework agnostic. So there's really two approaches to this idea. One is that we can perform a model conversion before we do anything else to whatever accept the format for this target platform. Or alternatively, we can let the web assembly virtual machine to dispatch to different machine learning back end, you know, based on metadata available associated with this machine learning model. So it could be, you know, open vinyl TensorFlow or ONNX in this example. So that's the approach to the model machine learning model. And then next Andrew will cover how to write Wadi and that application. Hi, my name is Andrew Brown. I'm a software engineer at Intel. Let me tell you a little bit more about the Wadi and an API. What you see here is the WIDX specification of that API. It's a five function API, including things such as load, initializing and execution context, setting inputs, retrieving outputs, and most importantly, computing the inference using the loaded graph. Here's an example of those bindings in the assembly script. What we're trying to do here is make it a lot easier for users to use Wadi and then from their web assembly applications. Here are the same bindings, but in Rust. You can see that the same functions are exposed, but you have higher level constructs, which should make it a lot easier to use. Though Wadi and then is not tied to any specific web assembly engine or machine learning framework, we did have to start somewhere. And so we used wasm time as that engine and open vinyl is the machine learning framework. This diagram shows you all the various components in our implementation. Starting on the left, you'll see the user application code, which when tied together with the wasm and bindings can get compiled down to a web assembly file. That web assembly file will make use of tensor inputs, for example, from an image and the model file or files. And we'll pass those on to the engine, in our case wasm time. Wasm time provides the wasm in implementation, but when it comes to the machine learning heavy lifting, it proxies calls down to open vinyl, which will execute them on a CPU or GPU, etc. These middle boxes can be swapped out. The engine and the machine learning framework could be swapped out for different implementations. Let me switch over to my ID for this demo. Okay, let's look at an example of classifying this image of a pizza inside wasm time with wasm in enabled from assembly script. So the first thing we're going to need is a version of wasm time with wasm in enabled. That'll look something like the following. What I'm doing here is I'm compiling wasm time with the wasm in feature and using some pre installed open vinyl libraries as the backing implementation. Next, what I'll do is I will place wasm time on my path for convenience and I will tell my path to load up the paths for the open vinyl libraries. Let's go back to our example. So I've written this assembly script code and you can see here that it's using the high level API, the bindings that we provide in this library. It'll load the graph, both the graph description and the graph weights, attempt to use the open vinyl implementation on a CPU, initialize the execution context, load up the tensor, compute the classification and then with the output tensor, it'll sort those results and print out the top five. So to compile this assembly script example into WebAssembly, we're going to need some tools to provide it in this repository and we will run AS build. This uses the assembly script compiler to compile the example I just showed you into WebAssembly. Let's take a look at what it generated here. So if we look at the imports for the optimize.watt file, you can see that it's using wasm in as well as some other wasm APIs, for example, for reading files. Other things that show up in the build directory are an untouched version of that wasm file and both wasm and Watt versions of these compiled artifacts. I've placed in here the AlexNet weights and model files as well as the image and image converted to a raw tensor. We'll use those in our example as inputs to the classification. Okay, let's run the classification. So what it's doing here is loading the graph files. This helper function readBytes is probably not as efficient as it could be. I believe it's reading each byte by byte. And then we'll see it set up the execution context and actually run the classification. Okay, so now we see that it's printed out the top five results for the raw tensor that we passed in of a pizza. But what do these mean? Let's take a look at this classes file that I also placed in our build directory. We'll grab for 963. We see, okay, 963 corresponds to a pizza. So it is identifying a pizza from the image I showed you earlier. So this would be an example of using the assembly script bindings to run wasm and programs from within wasm time. After proving to ourselves that we could make this work, we want to see what are the performance benefits. The intuition was that WebAssembly couldn't make full use of the system capabilities, whether that was longer SIMD or threading or special machine learning instructions. So to do that, we took as a starting point some work that Marat Dukan had done to run TensorFlow models from within the browser. We called that approach the wasm exclusive approach and we adapted it to work within a standalone engine, Node.js. On the right side, you'll see the wasm in approach, which uses a different engine, wasm time, and a different machine learning framework, OpenVINO. But what we're trying to do is compare approaches here, not necessarily engines or machine learning frameworks. We are trying to use the same machine learning model and the same input, which will then pass down to the machine learning framework. So we ran some classifications using both approaches. What you see here is a chart of us running mobile net classification a thousand times and measuring the average inference time on both a wasm exclusive setup and a wasm end setup. You can see that even across various platforms, the wasm end approach is significantly faster. We thought, oh, this is probably because threads are available in wasm end and are not available in the Node.js TensorFlow setup. So we single threaded the wasm end OpenVINO implementation, but still see a significant speedup. We think this is because of longer width SIMD and optimizations that OpenVINO can provide. Just to make sure that our approach made sense, we tested a more complex model. So using the inception model, we again ran classification a thousand times and took the average inference times. You can see that still the wasm end approach is significantly faster even when single threading the implementation. So we took as a summary that there's performance being left on the table and that the wasm end approach to using the full system capabilities is necessary to get the best possible performance. You can see speedups of up to 32x from the wasm end approach. And we hope that this motivates adding new engine implementations of wasm end and adding new machine learning framework implementations to those engines. Finally, call for action. If you are a machine learning practitioner, please go download wasm time and start using wasm end. Tell us what you like, what you don't like, what kind of improvement you would like to see. If you are interested in the wasm end proposal in terms of spec or architecture, please engage us in the wasi community and to help us drive this proposal to final approval. It's a lot easier to make changes right now than later at this proposal in phase two right now. If you are a WebAssembly virtual machine implementer, then you have this opportunity of providing an additional reference implementation for wasm end on your own virtual machine and perhaps with different back ends such as TensorFlow or ONIX or anything else. So that concludes our presentation today. Thank you.


Rhaid i'w lefyn i'w Rhaid i ni. Mae'n amser bod y gallwn llawer a'r problemau i fy ffóir ddoe, Bethe Allan, oherwydd ymweld mewn gwahol. Mae'n cael deall, dwi'n rhoi bod y break yn ffrindwyr sydd yn cael ei gynumbsydytio yn rhan o'n cael ei gyddon i phryddiadau, mae'n meddwl gyntaf, mae'n cael gyn nhw i dda'r ent ystod o crafion ar y bydd. Yn mynd i gyrdo ymlaen nhw, mae'n rhoi'n grych i uned o bobl cyfferthau teimlo, Felly we always try and maximise the break, and then with a view to coming back as a better team. I think that's the compliment to Nathan and how he's played since he's signed for us permanently. He's been a model of consistency, he picked up all the player awards that he did at the end of last season. You think he's carried that form into this, I've been really pleased with him. So, yes, something of course we'd like to change this weekend and we'd love to win. But we respect Southampton a lot, we know they're a very good club and very good players. Our outstanding manager has been there primarily for a long, long time. So, we don't understand us to make them in any way and we know that football can change very quickly. So, we have to get the basics right this game.


Hello, my name is David Lee Campbell. Without knowing it, I played an interesting and important role in 1959 in the desegregation of Tulane University, and I'd like to tell you about it. Really no one knew this before. I arrived in New Orleans from a segregated college in Texas in 57 on an essential for me law school scholarship to Tulane, which was also segregated. After my first year, I was, to my surprise, ranked first in my class. That first summer I knew I'd have to go back to Texas or get a good-paying job to stay in New Orleans. Luckily, I landed one on Offshore Oil Rig Catco 19. Good money. Shortly after I returned from my second year at Tulane, though, Catco 19 blew up and killed 12 men, one of which was the gentleman I'd been bumped with and who planned to retire after that last shift. The second summer I opted for much less money to clerk for the biggest firm in the city. I had my choice, as my ranking in class was still number one. That was why I chose the firm of Jones Walker. A week after I started, I was called in to see Mr. Joseph Merrick Jones, the founder and senior managing partner in the firm. He told me I was to put aside any other assignments. They would have me work solely for him on only one large legal research project. That it was to be kept between him and me and that I was not to tell anyone what I was working on. He would hire an out-of-office secretary to type the manuscript. I didn't know why all of this. For the next three months, I researched and analyzed the historic precedent and current state of the law with regard to segregation in all areas of life, education, housing, employment, the military, and other civil liberties and restraints. When finished, my thesis was typed up by an out-of-office secretary and sent to Mr. Jones, who was in the Bahamas at the time. This event was first made public in my 2017 memoir, The Double Life, A Survivor's Guide to Transcend Success and Tragedy. Then I got a call from Mr. Jones. He said he'd just finished my tome, as he called it, that it was beyond the call of duty and that he was putting a check in the mail for going beyond the expected. Unfortunately, though, I ran home every day to check the mail for treatment. $100 or $1,000, I didn't know. No check ever arrived. After my third year at Tulane Law, I was one of 12 American scholars to be awarded the British Monarchal Scholarship to Oxford University. Where in 1963, I finished my degree Doctor of Philosophy in Private International Law. Shortly after returning to New Orleans and deciding to live there, I chose a very different large firm as associate to begin my career. And then a tragic fire broke out in the Jones home engulfing both Mr. and Mrs. Jones and everything in the home. My tome was for Mr. Jones' use, apparently, not filed at the firm itself. I assumed it, too, was lost. But I still had my old tissue copy that he let me keep. Mr. Jones served as chairman of the Tulane Board of Administrators throughout his time, including when I wrote the brief for him, which I learned when in England he needed in order to make the decision as chair of the Board of Administrators whether to voluntarily desegregate Tulane, as litigation was also pending to compel it by judicial order. I have donated my papers, including this desegregation tome, to Tulane, and now after that tragic fire and the death of Mr. Jones. The only other known copy of that foundational legal research is freely available to everyone online at the Tulane Digital Library at digitallibrary.tulane.edu. I'm both proud and humbled. So thank you, Tulane.


If in the next two and a half minutes you get a little inspiration, a little motivation, let's share this video. Let's share it baby. Facebook, Twitter, Snapchat, Instagram, wherever you want. Let's spread this video far and wide. Little inspiration. Let's spread the love. Spread the love. East end of Magnolia Road now. And I just want to share a story about this road that connects to the book, Running with the Buffaloes. Connects to my freshman year in college. And I hope connects to a lot of high schoolers and everybody out there. But especially high schoolers and maybe you're a freshman in college. I've got a story I want to tell you. But first we got to go down this road about three miles so I can get to this location that I just got. I got to share this story. I got to share this story. Whoo baby. We are at 8400 feet. So this is just a rolling dirt road with lots of mud today, lots of snow. Oh and by the way, the turbos crushed it. They crushed it. I slipped once or twice but overall they crushed it. I decided to come record this section of the video at the CU cross-country course. That's where I'm at. It's a little quieter here. I'm not going to talk about Running with the Buffaloes in complete detail today. That's coming. Stay tuned, especially for all the high schoolers out there. I've got a pretty interesting story that's connected to this book. But I do want to talk about Magnolia Road. And essentially I was a senior in high school in 2004. A friend gave me this book. I read the book and it did change my life. It changed my life. But I'm not gonna, we'll talk about this at another time. But essentially I did not know that collegiate cross-country frankly even existed. I was just not, it was not on my radar. I was not recruited out of high school and I will, I'm just gonna tell you now because some guys are asking my high school 5k PR was 1627. Good time, solid time, but not division one cross-country type of time. I arrived at the University of Colorado in 2004 as a freshman and essentially I am trying to figure out how do I run competitively in college? Like what does it take to be a CU cross-country runner? So I look to this book which believe it or not has quite a few tips and training locations listed in this book about how the CU cross-country team trains. So one of the places that the team trains at is Magnolia Road. CU is at 5400 feet above sea level and in about 30 minutes of driving you could get all the way up to 8000 feet altitude training. So as a freshman at Baker Hall on campus I was living in Baker Hall. I did not have a car. I had a bus pass and this is before Google Maps. Keep that in mind. Keep that, this is well before Google Maps and so I pull out a paper map and I'm like how do I get to Magnolia Road? Where is Magnolia Road? Which is talked about in this book. Hold on. There's a helicopter. Hold on. Get out of here. All right, the helicopter's gone. The helicopter's gone. Okay, so I'm trying to figure out how do I train like a collegiate athlete? So I look up Magnolia Road on a paper map and I don't have a car so I get on the bus. I take the bus up Boulder Canyon where you saw me park my car today. There's that bus stop. It was that was not the beginning of where the University of Colorado cross-country team trains. It's another three miles up pavement up 2,000 feet of vertical to get to the dirt where you saw me running today. And so this run that I did my freshman year with no help, no, like I had my backpack. I had water in there, a little bit of food, some extra clothing, bottom line. It turned into this crazy epic running adventure, my freshman year of college.  Don't give up. If you feel like you've got the drive and the thirst to run at the collegiate level, you can do it. But it's going to take work. It's going to take going a little crazy at times. All right, that's all for now from the cross country course. I got to get back home and then we're going to record more about the 35 turbos. I want to tell you how they performed on a 20 mile run today through mud, slush, dirt, craziness. All right, let's go back home. Come on. Come on. And we're back. And we're back at the house. All right, guys, running with the buffaloes. I'm not sure I was completely clear with you guys back at the cross country course. So I'm going to I'm going to just try and revisit the thoughts a little bit. But first I'm going to read from the book. And this is Magnolia Road. This is the magic, the lore of Magnolia Road. So here you go. I'm just going to dive in. This is chapter that's called Monster Island. It starts by saying, Mark Wetmore, the head coach, moved to Boulder from Bernardsville, New Jersey on August 17, 1991. Within 24 hours of moving to Boulder, he had discovered Magnolia Road. He was running it probably the first Sunday I was living in Boulder. This was not by accident. He says, knowing where I am going to run is pretty important to me. I take the trouble to get a map, usually a topographical map, and I look for a squiggly, wavy road that usually means it is a little out of the way dirt road. Furthermore, found witness walk-ons enjoying as much success under Wetmore as those with sterling resumes. In the spring of 1994, found was running a 20-miler on Magnolia Road, while in 1349, 5K shape with Jake Cleckler and John Cooper, two junior university walk-ons. He was running a little over six minutes a mile, and they blasted me. It was a preview of what they did that fall. Here were two guys from backwoods areas that no one wanted that became all Americans. When they left, they still couldn't break 420 in the mile.  And of course, you know the keyword. It's Magnolia. Hopefully you can spell it. Good luck spelling it down below. Essentially, running with the buffaloes is the name of the book. I'm not going to talk about the book in full or how this book impacted my life specifically, other than to say I was not recruited out of high school. I wasn't recruited. And so I was looking for a little bit of a blueprint as to how someone goes about training at the collegiate level for cross-country. So I found that, well, I was given this book, thankfully, and I read it. And I read it again. And seeds were planted. Little mustard seeds were planted in my mind and in my heart. And I had dreams after that, after reading this book. And so basically, it taught me the different ways of training more volume and also where this cross-country team trains in Boulder. That's why I went on that crazy adventure up the pavement, up to Magnolia Road alone with a backpack on, with food and water and had no clue what I was doing. And I think I was out for like six or seven hours. It was insane. It was a little insane. No cell phone. This was 2004, folks. Cell phones were just not quite, they were on the radar, but they weren't on the radar. Google Maps, you just go for it. Right. That brings us to the end of today's video. Well, we're almost there. First, the question of the day. What is one goal that you set for yourself in running that you that you achieved? Okay, this could be in a workout. This could be in a race. This could be in health, overall health. You know what I mean? This could be in weight loss. This could be in nutrition. This could be in stretching. By the way, one of my goals is to be able to touch my toes by the end of 2018. That's like my stretching goal. So it could be anything. What is one goal that you have set any time in your running career that you actually achieved? Sound good? Comment below. That'd be amazing. Okay, real quick, just real briefly, the Nike Pegasus 35 turbos. I was reflecting back on the run today. I slipped three times. I almost went down once because I stepped right on this slush. But so overall, the shoe felt amazing. It felt amazing. The grip and the lug action on the bottom, the traction, the outsole, it definitely is not made for mud and snow. I was slipping a little bit. You saw it like it got pretty warm today. And so all the snow was melting and it got a little muddy. And as I was running through the mud, I just was thinking to myself, oh no, there goes the uppers, the upper, the beauty of the uppers is gone. But they survived pretty well. They treated me very well, very comfortable today, 20 miles on dirt at 8,000 feet. I didn't feel like my heel was slipping at all. I really didn't have, I really don't have any complaints other than maybe it was a little slick at times because the outsole is, you know, it's, it's made more, it's definitely made more for the roads. But the turbos thumbs up, two thumbs up, frankly. And I might, yes, I might have to get another pair, not now, but maybe like in January or February for the spring training, getting ready for the marathon. So anyway, I digress. And one last point before signing off, basically yesterday's question of the day, what are the top two reasons you watch running videos on YouTube? I'm going to do my best to take all of the data, all of your thoughts, all of your amazing ideas, and put them into basically a spreadsheet so that I can communicate those numbers and those percentages back out to you based on all the people that commented. And I think it's well over, I don't know, seems like well over 150 people so far. So thank you again for commenting. All right, see beauty, work hard. Love each other.