I guess in some ways teaching is in my blood. My parents were both teachers. I remember from a very early age being at shopping centres and kids yelling out to my parents and coming over for a chat, seeing the difference that you can make in kids' lives. At the end of my degree, I thought I had my journey all mapped out as to what I wanted to do and I was three weeks shy of heading to London when I got a phone call offering me a position in the Torres Strait. Except at the contract, had no idea what I was in for. I really didn't know what life was going to be like. It was meant to be home for six months and it ended up being home for just under two and a half years. Played a very special part in my teaching career. I've been able to transfer across the state to schools from the Torres Strait, Cairns and Brisbane. One of the things I've learnt is that you can make it anywhere home and the best way to do that is connecting with community and colleagues over a cuppa, sharing the laugh and having a bite to eat. Whether it's here in a cafe in Cairns or under a mecca tree in the Torres Strait. You really do make a difference in kids' lives and for me as a teacher, it's not just about teaching content, it's about teaching what it is to be a good human and actively contribute to society. I've been blessed to work in some amazing schools across the state that I felt at home in because that philosophy around that holistic learning, innovation, creativity is embedded into everyday life. From the Torres Strait, I transferred to Brisbane and there was something that was, I guess, really missing. That was that small, close-knit community and the fact that you walked down to the local shop on an afternoon and they'd know your name and you'd have a chat and a laugh. It wasn't lonely, it was home. If someone was to ask me why I've become a teacher, I think it's an incredibly rewarding profession. You will randomly come across a kid that you taught and they'll remember you or share a story about a class that they had with you or something about your teaching that they remember.  And I think that that really has stayed with me throughout my life.


Yeah it was a long season and it was a tough season for us, obviously the mid-season break as well, it's hard to get back into it, obviously we had that final chance but I think tonight we can just say that we did ourselves proud, we did it for ourselves more pride than anything and obviously Piemann's last game as well so it was nice to see him score and it was a good send off for him for his last game, he's a top pro and we're very happy for him. Talk me through that, what it means to be able to be with this group obviously it's at the end of a very long and unique season and to be able to go out in a high, what does it mean? Yeah look all we could do is just try and get the result tonight, obviously it's a shame not to be in the finals again but the only thing we can do now is just regroup and look forward to next season and hopefully get a better result next season. It was ultimately the winner, talk me through the goal it must have been a lot as well. Yeah obviously goals for me are far and few between but it was nice to get on the score sheet obviously and I'll have to teach Coxsey a few lessons I reckon about that number nine forward run but no it was a good ball from Juki and I think I just you know got everything on it and I was lucky for it to go in and I'm very happy to have scored.


Thank you very much for allowing me to be here today. Pleasure to be amongst such a distinguished audience. My name's Alistair Bishop and I'm an energy portfolio manager at BlackRock. I really want to spend the next ten minutes discussing how BlackRock thinks about investing in energy from the perspective of being a fiduciary to our clients and how my team think about energy investing against the backdrop of the energy transition. But before I start, just a sobering point. We've heard a lot about the last two days about how little time we have to combat the worst effects of climate change and how central a role energy will have in allowing that to happen. To do that, though, will require substantial increase in the amount of investment in the space. The reality, though, is the amount of capital going into the energy space is declining rather than increasing as a result of poor investment returns over recent years. That's a huge problem. The energy sector has underperformed broader equity markets by over 90 percentage points since the start of the decade. So since 2010, energy's share of global equity markets has more than halved. And that reflects, in my view, a combination of poor capital allocation decisions and a focus on near-term growth over long-term value generation. I think the specter of peak oil demand has undoubtedly also played a role. The good news is we are seeing signs of change. We're seeing greater capital discipline being shown by the industry. We're seeing management incentive structures being reworked to better align with long-dated shareholder goals. The question, though, is whether this is enough to change the fortunes of the sector when faced with the energy transition. Now, the short termism that we've seen impacting the energy space is something that is a trend we've seen across equity markets. And it's one in which our CEO, Larry Fink, has publicly advocated against. Our active managers have the ability to sell the shares of companies in which they don't believe in the long-term strategic direction. But our passive funds that track an index have no such choice unless the company is removed from the underlying index. And therefore, we see our responsibility to engage and vote as more important than ever. And we're adding substantial resource to our investment stewardship team to help foster deeper and more conversations with the companies in which we invest. As a fiduciary, our role is to try and help those companies deliver the sustainable long-term growth that our clients need to meet their goals. Now, a key priority for our engagement efforts and one that's clearly very topical and relevant for the energy industry is climate change. Now, we're not making social choices with our clients' money. We see these as business issues. But regardless of your views on climate change and the climate science and being a European that doesn't seem like too much of a debate, but I know that's not always the case, we think that understanding those risks is important because climate policy, climate risk, is likely to have a material impact on the value of companies over the long term. Therefore, we think it's incredibly important that we understand how boards, how management teams are thinking and addressing the impacts from climate change and the business risks around that transition to a low-carbon economy. For those industries such as energy that are most directly impacted by climate change, we expect that the boards should have clear oversight of management making sure they understand the steps that management are taking to manage and mitigate that risk. Now, our process of engagement really does focus on engagement before voting. So, the companies in which we invest should not be surprised by how we vote. That said, while we try and have patience with our companies when it comes to engaging on topics such as climate change, that patience isn't infinite. And we have voted in favour of shareholder proposals and against management where we felt that insufficient progress was being made. For those interested in learning more about our engagement policies, our voting guidelines and rationale, more information is available on our website. Now, I want to turn a little bit to what my day-to-day job is, which is energy investing. And clearly understanding the trends around the energy transition are important for companies, but they're absolutely critical for an active investor in the energy space such as myself. The BlackRock Natural Resources team, of which I'm part, invests across the breadth of the energy complex. So, as well as traditional oil and gas companies, we invest in companies that stand to benefit from the transition to a lower-carbon economy in areas such as renewable energy, energy efficiency and clean transportation. I believe that this allows us to be able to consider and think about the energy transition holistically without the risk of inherent biases. Now, if traditional forecasters to be believed, it's very much business as usual with the energy transition seen as an evolution rather than a revolution. And you can see this on the left-hand side here. This is BP's forecasts. BP predicts that the demand for fossil fuels will continue to grow over their forecast period, which extends to 2040, relatively limited loss of share to renewable energy. Likewise, on the right-hand chart for the transportation sector, no oil demand cliff is foreseen. With electric vehicles seen remaining a relatively niche technology and the number of internal combustion engine vehicles globally continuing to rise again over the forecast period. Now, we on the natural resources team myself can strongly disagree with this view. We believe that the traditional forecasters are underestimating the pace of the energy transition. And frankly, they've been doing so for many years. If you went back a decade, the International Energy Agency forecasted it would take until 2030 for the world to install 200 gigawatts of solar. And in reality, we surpassed that milestone in 2015. Now, you could say solar was a nascent technology back then. A lot's changed, and that's true. But one thing that hasn't is we continue to see the pace of the energy transition underestimated. Make sure I get all those lines. There we are. So on the right-hand side, we show OPEX forecasts for electric vehicle adoption and very similar to BP, they predict relatively modest, straight-line adoption curve. And again, like BP, we think they're underestimating the pace of that transition. Now, OPEX recently upgraded their forecast, which you can see there. We think that won't be the last time. The lesson from history, as you sort of see on the other charts, is that disruption does not happen in such a linear fashion. Once a technological or an economic tipping point is reached, adoption curves tend to be exponential, at least until high levels of penetration are achieved. Take the smartphone as an example. It wasn't that Arun bought a smartphone from Apple in 2007, and then a year later Sally bought one, and then a year after that, the next person, and so on and so forth. What actually happened is that we all very quickly realised that that was a superior technology, and within five years, half of us owned a smartphone. Now, I appreciate that buying a phone is not quite the same as purchasing a new car or certainly investing in a new power generation facility, but I do believe that the principle is the same. If a technology is superior or more cost-efficient than the incumbent solution, why wouldn't you see a more rapid pace of transition? Now, that's certainly what's been happening in the power generation sector over recent years, where you've seen a significant decline in renewable energy costs, and that's notably accelerated the pace of adoption. As we show on the left-hand side here, the cost of a wind turbine has fallen by around a third since the start of this decade. In the bottom left, or sorry, the top left, the price of a solar panel is down by over 80% this decade, and as those technologies have become more competitive, so the economics have improved, so their market share has risen. In fact, wind and solar now represent over half of all the power generation capacity being added globally every single year, and as their costs continue to fall, so that market share is likely to rise further. Now, electric vehicles, as we show on the right-hand side, are not yet at such a tipping point, so the powertrain of an electric vehicle, effectively the engine of an electric vehicle, is around twice the cost of an internal combustion engine, but here, too, costs are falling rapidly, and the cost of a battery, as we show, has declined by around 80% since the start of the decade. So, at that trajectory, electric vehicles will be broadly cost-competitive with an internal combustion engine by the middle of next decade, and at that point, consumers will have an economic alternative to a gasoline vehicle that has zero emissions at the point of use, lower running costs, and improved performance, and that, to me, doesn't sound like a niche technology. Now, not all disruptors will ultimately win. Frankly, some disruptors will end up themselves being disrupted, but that disconnect between how traditional forecasters perceive the energy transition and how we believe it will take shape is an attractive backdrop for those of us investing in the potential beneficiaries of the energy transition. But where does that leave the traditional oil and gas industry? Well, while we're clearly more bullish than many about the pace of the energy transition, that doesn't make us negative on oil and gas investing, though it is fair to say it makes us more selective. We believe that natural gas has a meaningful role to play as a transition fuel, and while we expect electric vehicles to continue to upside surprise, it will still take time for the EV to penetrate the global car fleet. As shown on the left-hand chart, it should also be remembered that only about 20% of oil demand comes from cars, and that's really what we're talking about in terms of near-term electrification. Now, those other forms of demand may ultimately face disruption, but the technology barriers there are higher, and therefore it will likely take longer for that demand to start to be impaired. Ultimately, we believe that oil demand is likely to peak in the early 2030s, so well ahead of many traditional forecasts. It needs to be remembered, though, that oil is a declining asset, a depleting asset, so without investment in new capacity, existing production will decline, and this is what's shown on the right-hand side, the blue and the orange together. Therefore, even if you look at, there's a two-degree scenario there, so aligned with the goals to try and limit climate change to two degrees, there's still clearly a substantial gap, so you'll still need to see substantial investment in new oil capacity over the coming years to balance the market. Now, that doesn't mean that all oil in the ground will be required, nor that every oil and gas company will prosper, but for those at the low end of the cost curve, with strategies that are aligned with value creation, we see significant opportunities to invest. For the overall oil and gas industry, the next five years actually has the potential to be better than the prior five, and frankly, I hope so, because it's been a fairly dismal five years for the sector. And if companies continue to pivot towards strategies that are better aligned with long-term shareholder goals, then we could be on the start of a multi-year period of above-cost of capital returns. And the slightly strange thing is that the chance of that scenario happening is gone up because of the energy transition. We are seeing the threat of demand destruction impact long-dated oil investment decisions. And as a result, perversely, electric vehicles or the threat of electric vehicles actually has the potential to destroy supply quicker than it destroys demand, at least for a period of time. The bottom line is that we expect the energy transition to be more rapid than many appreciate, but that it's far from game over for the traditional oil and gas industry. We expect winners and losers from amongst both the incumbents and the new entrants, and those companies that have a clear strategy aligned with sustainable long-term investment goals are more likely to be amongst the winners. Now disruption creates challenges, but it also creates substantial opportunities, and we're therefore optimistic that the outlook for all energy investing is positive. Frankly, it needs to be to attract the capital back into the space that's going to be required to drive the energy transition. So as the SEC says, past performance is not indicative of future returns. Thank you.


I'm Rao Govindaraju, but I go by GS. And it is my pleasure today to introduce one of our colleagues, Muhammad Jahan Shahi. Muhammad got his PhD in about 2011 or so from University of Southern California. And then he stayed there as a postdoc, did some work as a research assistant professor. During this time, he also worked at Jet Propulsion Lab and finally joined our program in about 2014 as an assistant professor. So we are very thrilled to have him. He works in the broad area of structure. His teaching is mostly in our structure's courses. But his research is very interesting. I think he works in big data analytics. He works with sensors which collect disparate heterogeneous information, combines them using machine learning, deep learning, and other techniques to essentially lead to informed decision making. And in the application area is primarily into developed resilient communities. So with that, I'll let Muhammad come and tell his story. Thank you, GS, for the kind introduction. And thank you, everyone, for your attendance. It's an honor to be here. Typically, when we have a goal in our life, sometimes we say that if I get to this goal, I would be very happy. But the real life is that there's almost always a process until you reach your goal. And I always try to remind myself about this quote that says, if you do not enjoy the process, you are not a happy man. And I tried my best to enjoy the process of being at Purdue and the tenure process as much as possible. Of course, as you know, there are going to be lots of parameters that can affect that. Today, I'm going to share with you some of the major ones that helped me to enjoy as much as possible the tenure process. The first thing is the ecosystem. So I have been very fortunate to have lots of good people around me, supportive people. These are the names of my official mentors, late Professor Metisosen, Professor Mark Bowman, Professor Melba Crawford, and Professor Dulcy Abraham. Of course, GS has always been instrumental and very supportive. I've also had lots of other unofficial mentors and role models. And as you can see, they are from different departments. As I'm going to be talking about my research in the next few minutes, I should mention that all the hard work comes from my fantastic students, both in PhD and master's students, as well as undergraduate students. As you can see, I've been involved a lot with working with undergraduate students from different departments, ECE, civil engineering, computer science. Last but not least is the family. I have been, again, very blessed to have a very good supportive family, my siblings, parents, in-laws. These are the three people who have been with me during this journey in Midwest. And I'm very grateful specifically to my wife for her support and patience. Indeed, without her support, I wouldn't be where I am today. So with that, let me give you a little bit of background. I was born in Shiraz in Iran. It's a city with 3,000 years of history. I got my bachelor's in civil engineering. Then I moved to the capital of Iran, which is Tehran. And I got my master's in the structural engineering. Then I moved to California, Los Angeles. And as G.S. mentioned, I joined the University of Southern California. I got my master's degree in electrical engineering and PhD in civil engineering. Then I was a postdoc there for one year. Then I joined Caltech as a postdoc and worked in the NASA Jet Propulsion Lab for one year. And then they hired me as a research technologist in the robotics group with PhD in civil engineering. Anyways. And then after one year, 2014, I moved to Purdue as part of the big data cluster I have. So if you ask me what you do in two words at Purdue, my research is data analysis. We try to extract useful knowledge from sense data, variety of different data, primarily computer vision type of data like images, videos, point clouds. We also work with time histories and vibration signature of the structures. OK. Now, if you tell me, OK, we didn't see what engineering. Give us a little bit more understanding, a little bit of a scope of what exactly you are doing. I try to deal with the aging infrastructure. This is the grade for the report from ASC about the infrastructure, which is C minus. And you can see many of the infrastructure get D or D plus or D minus even. And the challenge is that insufficient inspection, because our current inspection method is manual, time consuming, subjective. Sometimes we inspect bridges once every two years, believe it or not. So the idea is that can we use artificial intelligence, data science, now that we can collect huge amount of data from different sensors and robotic platforms to make sense out of them. That opportunity is tremendous, particularly due to this recent 1.2 trillion infrastructure investment and jobs action acts, which is a once in a generation investment in civil infrastructure. And probably it will be benefiting the research in this area. So what I will be doing, I will just share some of the research topics that I've been doing. And some of them are ongoing at Purdue for the next few minutes. Again, just as a recap, this is using artificial intelligence and robotics. These are the two components of what I do. This project is related to condition assessment of nuclear power plant reactors. The reactor is under the water. So there would be robotic arm that collect videos. And someone looks at the videos at technician and provide a subjective report. But if we can develop algorithms that they can go through the whole video and provide a probabilistic report and tell you, just watch this part of the video. With this confidence, there's a crack with this thickness. And let's look at this part. So this technology is currently being rigorously evaluated by a couple of companies, including Westinghouse, to be incorporated into their inspection pipeline. Another project, which is quite interdisciplinary in collaboration with my colleagues Ed Delt at ECE and David Johnson at Industrial Engineering is about flood risk mitigation. Flood is the deadliest natural hazard. The idea is that there would be a website. You put your address. There it is, the coastal region of Louisiana. And you would get a map like this that provides the flood risk. So in the back end, in order to have this risk analysis, you have to have the information about the attributes of the buildings across a large region around you, like the type of buildings, number of stories, type of foundation, height of foundation. So what our students have been doing, they have developed algorithms based on deep learning and multitask learning where they can autonomously analyze Google Street View images and extract this information. So the information about 800,000 buildings are provided to the authorities in the coastal regions of Louisiana. And we are now extending this to the whole state of Louisiana. The other project is related to using robotic systems for inspection of bridges. And then here is an example of Bowen Lab. The idea is that if you have a UAV, you collect data, say, every six months from the bridge, can you identify and track the defects? Like in this case, you can see four different rounds of inspection. We have identified the same crack, quantified, as you can see, it's thickening. But the interesting thing is that these devices have limited computational capability. So in collaboration with our colleagues in computer science, Professor Elisa Bertino and funded by IBM Research Lab, we came up with an idea that if you have a very large deep neural network and you want to put it on an edge device as part of the vision of Internet of Things, how can you systematically prune the network? So in this case, for this very popular network, what we did, we were able to reduce the size and computation costs for 90% and yet get the same detection performance. This project is very close to my heart. And it comes kind of related to my teaching as well. As Gia said, I teach classical mechanics, statics, and structural analysis in civil engineering. In graduate level, I teach computer vision for civil engineering students. But I also, I was an advisor for EPICS and with my students, we have VIP team. So this is the idea and it came from EPIC and VIP. I would like to spend a little bit of time on this because it relates to teaching and research how they connect to each other. The idea is that if you put a set of inexpensive sensors, commercially available off-the-shelf sensors, which would be $300, like a GPS, an RGB depth sensor, an edge device, and you can transmit the data. And if you develop algorithms that can analyze the data and you put these devices at the back of the vehicle, I think this is U-Ting's vehicle here, she is in the front row. And the thing is, if you can collect lots of data, say in big cities like Chicago and say San Francisco, you would have thousands of these cars collecting data, sending the information through internet to a central system and you can analyze it. You can have updated information about the condition of the road. So to this end, I had this vision, I started with EPIC's student. The students, undergraduate students, they tried to put the sensors together, then we moved it to VIP, then they start really making it work. Then my graduate student working with her, supervising the effort, and she developed the deep learning algorithms. And now this became a major component of her PhD dissertation. So it just came from VIP and teaching with, and working with undergraduate students. As a follow up to this, actually, we're developing, well, it's not showing the video, that's all right. Probably I can, it's not a big deal, but. So we are developing virtual reality modules for Department of Transportation, where you can wear the headset and inspectors and frontline employees, they can interact with the immersive world to be trained to how to make decision about the condition of the road or bridges. So they would be better prepared for future work. This is a project, another interdisciplinary project. This was something that a little bit was far away from my expertise. I have had wave propagation courses when I was graduate student. I work with Monopoli colleagues, professors Fabio Sanperlotti in mechanical engineering. And the idea was that, can we use artificial intelligence to design new materials, new material that can have a specific characteristics. It was a very, very beautiful experience, probably. If you have questions, I can talk about it at a later time. And this is the last project that today I'm gonna be talking about it. I'm part of the Rethi Institute, the Resilient Extraterrestrial Habitat Institute, funded by NASA. And the idea is that if you have habitats, and say moon or Mars, and there would be a disruption, say there would be a meteorite impact when you have a sensor network, how can you detect, quantify, and localize damage so that you can dispatch robots to go and fix it in a timely manner? So with that in mind, to wrap up, my research is about data sensing, data analysis, and data fusion. And it has lots of applications within engineering and outside engineering. I forgot to mention something. I have been collaborating with almost all nine divisions in civil engineering faculties, either writing proposal, writing papers, presenting things with other faculty, outside civil engineering, in mechanical engineering, industrial engineering, electrical and computer engineering, and also outside college of engineering with computer science, social science, and flat and botany. With that in mind, I would like to thank you, and one more time mention that if you do not enjoy the process, you're not a happy man. Thank you. Thank you. All right, thank you, Mohammed. We have time for some questions. Hi, so about the crack detection in like nuclear power plants and the road infrastructure that you mentioned, what do you observe in terms of like improvements between the AI versus how it was done manually using people, because that was more subjective, right? So is it the same or are the algorithms better detecting these issues than humans were? Yeah, that's a very good question. Let me mention one thing that for the road, please keep in mind that the type of crack that we have is very different from nuclear power plants. Under the water, it's metallic surface, lots of scratches, tiny, tiny cracks, so the approaches are not the same at all. I hope you understand that. For the road one, we have been closely working with the Department of Transportation and particularly with both cities of Lafayette and Lafayette. I personally have met the mayors about this project, and we were planning to use when the prototype is ready to put it on the bus system in Lafayette to collect data and monitor as part of smart cities. So what they do in municipalities, they do based on surveys, or there is a website actually where you can go and report that I saw a pothole here and there and this is not convenient. When I was working with Epic team, we worked with the city of Lafayette to develop an app, and basically you could easily report it. So you can see it's very subjective. Every few years, they rent a $2 million van to collect the data, so they cannot afford that van. And there are lots of other issues here that I didn't mention about it. We have been talking about this specific project from different aspects.    You see the impact, it's not just a matter of detecting this crack or that crack. The big picture is bringing equality to the society. And so basically we have done rigorous measurements between manual inspection and using these techniques for roads and they have published papers. Roads are, these techniques walk much better, obviously. As I said, because the other one is just manual, someone reports there is a damage here or not, or the garbage truck drivers do that. For nuclear power plants, that's another issue. So it seems that we're not replacing human, we're assisting the human. So instead of watching several hours of video, you just watch the places that the computer or artificial intelligence help you to narrow down. So you can use your time more efficient and effective. I hope I answered your question. Yes. Hi Mohamed, long time no see. Yeah. Okay, my question is pretty simple because you have done a lot of excellent work on data-based data analytics method. I'm being more like trying to, what are your, my research is more like a model based. What are your vision about the integration of data driven or model free and the model based method? We kind of feel that actually, you know that most of them have their other advantages. I believe for complicated situations, it will be definitely beneficial to integrate data into the model based method. And sometimes model based methods are more robust than purely data driven stuff. Yes, as you said, they have their own advantages and they say advantages. With this particular two projects, I'm glad that you asked this question. We try to integrate the physics into the problem. So for this one, it is physics constrained because when we were working with our colleagues and we realized that the machine learning cannot converge and you know machine learning, if you have data, it is good loosely talking for interpolation. If it's something happens outside the data training data, it may not work well. That's why you may need to have some physics constrained on top of it. So that's why we have to integrate the physics into the deep learning algorithm. So it is physics constrained. And particularly for the second project, as I'm talking to you in Heraklab, we have a dome and it's instrumented. And I believe that probably for that one also at the end of the day, we need to go to combine these methods. As you said, I agree there are two different words, but you can merge them and take advantage of both of them. You're welcome. And again, as you mentioned, depending on what's happening in the problem project that you were talking about, if you don't have enough data, you may need to use the model-based approach that you mentioned. If you have enough, you can probably use the other one or combine them. Just a follow-up question to Shashway's. But one example that you talked about are the nuclear reactors. So we had a deep neural network and you were able to reduce the complexity of edge computing needs down by significantly. Was that physics-based? No, no, no, no, no. That one was not physics-based. So basically, there are two things here. For crack detection on nuclear power plant, it was just based on visual inspection. And we were not incorporating any physics. In order to reduce the other project, which was we were trying to reduce the, if I'm not mistaken, if I understood it, the size of the large neural network, that one also, it was not based on the physics. So basically, what we came up is a mathematical approach that you train a neural network. You train it and you test it. Then you can rank the, say, the weights, get rid of 10% of it, retrain it. And if the performance is good, do it, do it, do it, until the performance goes down. So you should do it gradually. Otherwise, it breaks the whole network. So there was no physics involved.  Any more questions? Thank you for your presentation. I just was curious to know if you have any suggestions to succeed in the tenure track besides being a happy man. I think that's it. You should enjoy the process. That's the answer. If you don't enjoy the process, you are not a happy man. And I firmly believe in this. And I keep repeating this to my students. And I keep repeating this to myself. And I think, as you know, being a faculty, it needs lots of things, as you mentioned, prioritization, decision making, communication, leadership, learning new things and so forth. I would say, and prioritization of the time and so forth, and balance in the life as the first speaker mentioned. So I think you have to have all of these. But I put them under the umbrella of enjoying the process and not be burned out with just working, working, working. It's very general, I understand. But we can talk about it in more detail. You're welcome. Any more questions? And one more thing that I would like to emphasize. Ecosystem, good people. That's very important. From the first day that I came to interview at Purdue, I felt that.  The gentleman, I, Hunter, from over there, when I went to get into his car, he put Persian music for me. He is not Persian. He took me an extra mile and took me to some areas and show me houses to buy. You know what I'm saying? His office is across my office. Every single day, before pandemic, whenever he was in office, really I'm talking about, not exaggerating, I was happy he's there. One of the other guys in the picture, Santiago, was next to my office. I don't lie to you. The first couple of months, I was so worried. I was thinking these guys probably put me in between themselves to figure out what I do. But the other days, whenever he was coming from the class, yes, I am here. But again, because of the pandemic, we don't see. So I believe supportive and good mentors that they would be really helping you. That's very, very, very important, I believe, ecosystem. All right. Well, so enjoy the process, good ecosystem. With all that deep learning comes deep wisdom. So thank you all. Thank you, GS. I just wanted to also take a moment to thank all the organizers here. I wanted to, Marcia, Maria, and Amy are here, as well as Ed Dunn and his team. So please join me in a round of applause for everyone. And a final reminder that the next event in this series is April 19th. That's going to be our last for this spring semester. We have three, again, outstanding colleagues that we wish to recognize at that event. So hope to see you all there. Thank you for joining us today.


So, the last style I'll cover in this module is one that you might not be as familiar with because it's not as common in the internet, for instance. And that is the pipe and filter style. And the pipe and filter style is very common for data processing applications. So, some kind of data goes through the pipe and along the way it's being filtered or transformed. So, for example, graphic processing, certain workflows and, for example, logistic systems or invoicing systems, in these cases it's very common. And the example I'll take here is from the book, which is about invoicing. And you essentially have several steps. So, for example, in the first one we read the invoice, then we identify what are the payments we have to make, then we issue the receipts. So, have the payments already been made, yes, then issue all the receipts for that. In the cases where there have not been any payments, we might send a reminder. And this can continue, of course. So, essentially you have steps that somehow transform our data that goes in and then have a certain output, for example, a receipt or a reminder. There can be, as we have here, there can be concurrent things. So, the receipts are issued at the same time as the reminders for other payments are sent. There are, of course, other options to do this. But, essentially, here we have all these transformation steps and the data flows through this pipe and it's being filtered along the way. Now, what's good about this architecture is that, in theory, at least, you can reuse the filters, the transformations. So, maybe, at the later point, you again need to read an invoice. For example, you figure out that the payments might actually be connected to another invoice. So, maybe here you want to do, again, read invoice. You could just reuse this because your pipe, your data format, should remain the same. So, it doesn't change that much. So, that's very good. The other thing is that this very well matches with how many businesses have arranged, have structured their workflows. So, they already have the way they work, the way they do their processes, looks like this. So, it's a very easy match to put this into a system. That's basically the language the business experts would talk in. So, it's a very direct match where this is not always the case in other architectures. So, that's why in many business systems, this might be good. We have the advantage of concurrency. So, we can do these concurrent operations. We just have different filters that run at the same time, different pipes, essentially. And we can, again, modify individual steps. So, we could do modification here without changing the entire system. Because the input and the output should remain the same. We can just replace or modify single filters, single transformations. The big disadvantage here is to actually agree on how the pipes should look like. So, what is the kind of data that flows in and out of it? What is the input? What is the output? Because if you can't agree on that, it's very difficult to have this system in which you can just insert new transformations, reuse them later on. And that's why this can be quite tricky. This is also the reason why this is extremely popular in cases where it's pretty straightforward, like graphics processing where you have basically the same data coming in and going out. It's just somehow filtered. But if this is a business process, it can be quite difficult to agree on exactly how this looks like. So, that's the big disadvantage, but overall a very common, a very popular style in data processing. Okay, so this concludes the part on architectural styles. What we now do in the next recording is talk about generic application architecture. So instead of having individual styles, because of course you can combine them, you can have a pipe and filter here in one component, a bunch of other components together implement model view controllers, you could have all of that. But you also have something that is called a generic application architecture. So that's an entire architecture that is used for certain businesses. And that's what we'll discuss next.


Hi, kids! Here we are again! I am Sango and today we will be talking about social media! Let's start inside our digital houses and our rooms. We have seen that each of our rooms have something very precious inside of them. Our information! Today we will be talking about some of the rooms that we use the most. The ones that hold a lot of our personal information. Social media! Social media is an amazing piece of technology that allows people to share their thoughts, ideas and interests with others. For example, dinosaurs, pets, toys, space or your favourite characters! Before we take a closer look at what great and what risky things can happen on social media, don't forget that most social media platforms have an age limit. That means that you are only allowed to use them if you are 13 years old or older. Social networks allow you to share photos and information with your friends and also tag people and places you know. But it is important to remember that strangers can use this information if your profile is public. This can lead to dangerous situations if strangers discover where you come from, who you're with, where you live and what you like to do. Remember, nothing on the internet is really only ours! Social media is also a place where you can meet friends and exchange ideas! But have you ever thought about how you should treat others when you go online? Think about how you treat each other offline, the same rules apply online as well. It is important to respect other people's opinions, avoid using language that could hurt others and remember that bullying is never okay. Here are some advice on what you could do if you are bullied or if you see someone being bullied. Tell a trusted adult such as a parent or a teacher. Stop replying to messages. Block the person. Report the person using a social media platform's reporting mechanisms. Take screenshots of the messages so that you have evidence. Contact a helpline for support. Here are some small rules you can use to be safer on social media. Check your profile settings on social media apps and certain games and put them on private. This way, only your friends will be able to see what you share. You should only accept friend requests and chat with people you have met in person. Some people with bad intentions create fake profiles and hide behind false names. Always think before you post. Only share content that makes you feel comfortable. It is difficult to erase things once they have been posted on the internet. Ask your friends to respect your privacy as you respect theirs. Your friends should always ask your permission before sending or posting your photos, videos or information online. Bullying is never okay. When you are being bullied or you see someone being bullied online, tell a trusted adult. Get support and report the bully. Check out a list of available social media guides online on how to stay safe online on the resources section of the ITU Child Online Protection Guidelines website. There are many websites out there that share advice on how to feel and be safe online and how to set up the correct safety settings.  Social networks are not always suitable for children so you may see something harmful that can make you feel uncomfortable. If this happens, speak about it immediately with an adult that you trust. All clear now? See you again soon for our next episode about video streaming. Until then, stay safe, stay tuned and engage. Bye!


I'm encouraged by the fact that there seems to be a growing recognition that monetary and fiscal policies jointly determine inflation and influence economic activity. Unfortunately in the euro area we're still missing a thorough understanding of exactly how monetary and fiscal policy interact when you've got one central bank and many independent fiscal authorities. That understanding is essential for the design of fiscal rules. I fear that many countries in Europe now are adopting fiscal rules that don't take into account these monetary policy considerations. And it's quite possible that these fiscal rules will, if they're not coordinated with the ECB's mandate, make it impossible for the ECB to achieve its mandate. Well it's early still but I think this morning's presentation by Helen Ray presented a provocative and very innovative approach to trying to understand and predict financial crises and I think it's going to lay the foundation for a lot more work in that area that will ultimately help policymakers understand the nature of these crises better and be able to respond more effectively to them.


When we look at the Bible and we start looking at the three heavens and there are three heavens as a first second third heaven The Bible goes into a little bit of detail about them It's some interesting points that come out about it And so let's go ahead and jump into it the first time that we even see the word have been or have been Which is important is in the beginning in the beginning the Bible says the God the God created the heavens and the earth Well, the word for heavens is the word ha shamaim, which is the ha shamaim Shamaim is the word for heavens. It is derived from the word water, which is maim. So maim water Shamaim heavens, and of course these are both plural words And so it indicates that there are at least three. Why do I say that? Because in Hebrew there are three ways to number one the singular Second the dual those two are explained and self-explanatory The third one is the plural where you have the aim sound the yadmim Where you have a plurality three or more and so in this case We have the word shamaim or or ha shamaim, which is the heavens And so I want to go to Genesis 2 and let's look up when they were actually created in Genesis 1 6 God said let there be an expanse in the midst of the waters and here we have this word for water shamaim And here we have the word for waters Maim and he says and let it separate the waters from the water So what God is doing is God is taking the waters that's there on the earth Remember in the very beginning the earth whole earth was covered with water It was formless and void, but there was just water The Holy Spirit was hovering over the deep over the waters And so what God does he takes the waters and he begins to separate them And which we can see what we now come to understand and see as the atmosphere Let's go back to what he says that verse 7 and God made the expanse and separated The waters that were under the expanse from the waters that were above the expanse And it was so and God called the expanse heaven and there's that word heaven What we see the word shamaim remember the word water is maim and the word for heaven is shamaim And so God called this separation Heavens and so understand we've got water not just the physical water. We've got this this expanse We've got this waters that we call our atmosphere and then above that this other Level we call outer space. And so those are the first two Layers of heaven or the first two heavens And so to kind of even get another understanding another scripture to kind of go along with this If we look at genesis chapter 6 verse 7 forgetting the context of just how the word is used here in 7 He says so the Lord said I will blot out man Whom I have created on the face of the land man And animals and creeping things and birds of the here's that word heaven is the word That is the birds of the sky For I am sorry that I have made them and so this word for heavens This one indicates the first heaven, which is the sky But then the bible also talks about this second heaven as well And there are more scriptures other than the ones that i'm just pulling up But just to give you an idea the second heaven that's pulled that's that's covered in the scriptures is in deuteronomy 419 where he says and beware lest you raise your eye to heaven And when you see the sun and the moon and the stars all the hopes of heaven Will be drawn away and bowed down to them now the whole point here is The heavens that he's speaking of the hosts of heavens is speaking of that's the same word again Hashem A'im is the second heaven our space where we have the sun the moon stars and other celestial bodies and so forth And so now we've got the first heaven the second heaven most folks can understand that then we've got This third heaven the abode of God we see that in Psalm 148 I'm sorry. Yeah 148 4 he says praise him You highest heavens and you waters above the heavens And so the highest heaven you highest heaven This is referring to the same word that's used though Hashem A'im the same word this is referring to the third heaven now There are passages in the bible that refer to the third heaven as well as a matter of fact The bible paul tells us if we didn't if this was enough paul lets us know that there is a third heaven Why do we say that because paul in 2nd corinthians chapter 12 says that he went to the third heaven Let's go to it. He says first two for I know a man in christ who 14 years ago Was caught up to the third heaven now the word heaven here in the greek is the word orano, which is oranas Which is the word for heaven interestingly enough it is also used for the word sky just like the hebrae word and so It can be used to mention the third one or the first two in this case paul Literally mentions the third heaven now He doesn't say if he went in in bodily form or in a vision But the point is he mentions a third heaven now There's something interesting to note about the heavens all three of them Obviously mankind lives in the first heaven this atmosphere that we breathe in with this air this oxygen But then We also have seen some men who have traveled to the second heaven Interestingly enough science has verified that there is trace amounts of Water in the atmosphere obviously in or in the heavens in outer space not enough to at least just normally sustain life Not like we have here in this the first heaven, but that's interesting enough to note but the third heaven Jesus makes a statement that we don't think about really until he makes a statement He says in john chapter 3. He states that verse 12 He says I have told you earthly things and you do not believe how then Can you believe if I tell you heavenly things and look what he says? No one has ascended into heaven No one has ascended and by the way It is the definite article. So no one has it has ascended into the heaven So he's speaking literally of the third heaven. No one has ascended into the heaven or into heaven Except he says he who descended from heaven that is a son of man So obviously we only know of one person that is descended from heaven Which is jesus, but he makes a statement that no one has ascended into the heaven. No one has ascended into heaven But wait a second What about inak? What about elisha? Well, again Since we're using the word For heaven that's also used of sky Then it could probably make sense that they weren't taken into heaven. Jesus was not incorrect Jesus is simply stating that only he has gone as for elisha and inak Let's go to second kings and let's look at it second kings have a two verse one It says now when the lord was about to take Elijah up to heaven and the word that's used here is the plural Hashem ayin He's taken up in the heaven by world when elisha and elisha were on their way So the point is that here we see elisha taking up the same thing with inak The bible says that inak walked with god But it just simply means that he was taken away as a matter of fact Let's go and look at the at herews chapter 11 verse 5 He says that by faith Enoch was taken up so that he should not see death And he was not found because god had taken him and the word used for taken Just simply means that he is no longer Or he has been removed and so enoch was taken But it never indicates that he was taken into the third heaven Nor does it ever indicate that elisha was taken into the third heaven And further validation of that is that jesus makes a statement that no one Has ascended now after jesus's death there on resurrection and then his ultimate ascension Now we've got people who have gone there, but they didn't proceed jesus and so kind of interesting and so one very important fact To note about heaven notice that by faith Enoch please god now. Where's he not now? He's certainly in the third heaven. Where are the other people who by faith have pleased god? They are in the third heaven. You cannot make it to the third heaven even though we kind of speak metaphorically God has to speak to us kind of in his anthropomorphic language Which is he speaks to us in the ways that we can understand it And so he might use figures of speech and so we talk about looking up to heaven We're just saying kind of metaphorically looking up to god even though no matter how how you go I don't care how great the rocket ship is how much fuel you have you'll never go high enough far enough long enough To reach heaven there is one way to get there though and that is by faith placing your faith in what christ has done Who came down from heaven? Died on the cross then after his death prayer resurrection ascended back into heaven And then as made it possible for the rest of us to go there How by faith and so if you ever want to go to the third heaven The only way to get there is not by a long walk not by a ship Only by faith Amen


China is in the process of rapid population aging. Now, the elderly population has already exceeded 200 million. And the number of the elderly population will continue to increase in the next 30 or 40 years, because the larger among the larger cohort of the baby boomer gradually into the retirement ages. Such a kind of demographic transition has created really big challenges to China's public health systems. Because people usually at the old ages, they will consume much more health resources compared to the younger populations. So in that case, so now in the past, we, the Chinese health reforms much more focused on the health system itself. But to cope with this kind of rapid population aging, so we may need some much more innovative approaches to make Chinese people much healthier in the future. So in that case, and we already know that, our longevity and health situation at the old ages are partially determined by our genes. So we thanks to our parents to give us what we will be when we are old. But we also know that the much more important is our lifestyle. So in that case, we can say either people smoke or people have imbalanced the food or people has excise or not. So this all will affect our health situation, especially when you become older. So in that case, so my idea is that we rather focus on the medical treatment or operation, we may focus on the much more on the prevention of the non-communicable diseases. And also we need to promote all these health lifestyles, including the physical exercises and also including these kind of changes all our lifestyles. When we talk about the promotion of the health lifestyles, in China, we actually we can take advantages of our traditional local knowledge, traditional Chinese medicine and the traditional Chinese philosophy. Over the thousand years, Chinese developed a series of these kind of ways to develop, to make the person live longer and become healthy. So this kind of like the Tai Chi, like meditation, like the public involvement of the social and this kind of emotional, physical activities. So and also with the demographic changes, when China is become aging, now our family become smaller and smaller. With this kind of family, the capacity for family to support their elderly is reducing. But this does not mean the family cannot further continue to provide the long-term care for their elderly. So at this moment in China, the family members still the main resources for the old age support long-term care. So in that case, now we may not need to invest in the public health systems, but we need a very proper family policies to enable our families to increase their capacity to look after their elderly. And also we need some kind of community development. We need to volunteer development. We need to develop integrated systems to provide the long-term care rather than only focus on the hospitalized or nursing homes to provide the service. In the ICT development area, so now the ICT development also can help us to provide a better healthcare system to the elderly. And when the elderly are connected with this kind of ICT technologies, either through the iPhone, through the iPad or through all the other facilities, this can help them make our older generation much easier to get access to the healthcare systems, to get too easier to change their lifestyles, to remain independent, to reduce the dependence on the long-term care or on these kind of systems. On the whole, in conclusion, I would like to say, when we focus on the development of medical hospitals, on the development of our education systems for the doctors, we also need to think about what we need to develop our proper social policies to enhance our societal capacity to cope with the aging society, to reduce the cost of the public health system, to make Chinese both the elderly and the younger generation much healthy. In that way, we can cope with these kind of aging challenges to Chinese society. And also this will reduce the burden for the younger generation and can make our elderly live in China much healthy or even live much longer. So in that case, my question will be how the proper social policy and the public programs can help the public health system more efficient and make this public health to the more easily accessible and more efficient and more equal to the general public. So thank you very much.


They went on a 7-0 run. I think Torian missed a corner three. I thought it was pretty open. They came up, you know, I think we missed a floater. Folt hits the corner three. They get a layup and transition. The one that makes me, upsets me, is a layup and transition. You know, that was the key for us tonight. But again, tied seven minutes ago. You know, our starters are struggling a little bit. I thought our bench was good. The starters and that group isn't really good. You know, the whole year, they're just struggling lately. But I was proud of our defensive effort. Defense was really good. I thought our process was right on offense. I thought we got a ton of open threes. We got to the rim at a high rate. We just didn't make threes and didn't finish at the rim. So, and so that's a bad combination. 37 points from the bench, as you mentioned before. Yeah. 52 from your starters. 16 apiece from Den Whitty and Harris. Any, just listen.  So we're going to need everybody, you know, to get out of this rut. And I thought the bench, Ben stepped up and did a good job. How can you build on what you saw from that second unit? And what specifically stood out in terms of what they were able to do? Yeah, I thought they shared the ball. I thought Moussa gave us a real burst of energy. You know, having his ball handling out there, I think we need that. We'll probably have to look at that some more. Just help our other guys with the ball handling duties because he can play pick and roll. He can make a pass. I thought he was a real positive. I thought Roddy was good, you know. The whole group was good. Deandre, obviously was good. So, you know, but credit to them. They play really good defense. You know, they deserve the win tonight. This fourth quarter, I mean, this has been a recurring theme.  Yeah, I don't know. I think we do a pretty good job of monitoring minutes and managing load and figuring all that out. I just think we're in a little bit of a rut that groups in a rut. And I don't think it's one guy. I think it's collectively. So, you know, something we're going to have to look at, something we're going to have to find a solution because we're in the games.  But the shooting, does it get to be a mental thing after so long? I think there's a little bit of crisis of confidence.  We're just in a rut. We shot the ball really well early in the season. We're not shooting it well now. So, it'll come back again to have confidence in these guys. You probably wouldn't have minded it before the game if Markel Foltz takes 20 shots in the game. Yeah, he was good. I didn't like how much you got to the rim.  I thought he kind of drove our, our, our, kind of, you know, we were, we were back on him. He did a great job driving it. Doty Hurdison transitioned. He played a great game. Any thoughts on the team's 359 rebounds? I thought our rebound was good tonight. You know, it's, it's, it's rebounding percentage. So I think if you look at, you know, we took, I think 50 more shots than them. So, you know, I, you know, that, I don't, I don't think that was an issue tonight. I did, you know, at the end, they got some that we, I thought we should have had, but I thought the rebounding was, was, was decent tonight. It's still a tight minutes restriction for our carers tomorrow. Yeah. You know, we'll, we'll bump them up a little. I think it's, it's like we've always done an incremental minutes and then build them up and, and hopefully after a short period of time, he'll be ready, you know, full on. Did you play the same role off the bench? Haven't decided.


l ranges You know, one of the different camps How big or small are those camps? And we have such a rich really extraordinary Range of existing factions and play styles already to to pull from I think that can be really fascinating Yeah, absolutely. I think looking at stuff like play styles looking at stuff like number of armies people have things like that could be really interesting Um, you know, how often people go to tournaments or something like that or how often people go to their local store and play games There's lots of interesting angles we could take on this stuff, right? Um, the one thing I wouldn't want to ever try to back into is sales data Like I I'm not going to try to ever make a survey that backs into it because if you're watching this show You know like first of all, thank you. Awesome. I much appreciate it guys. Um, and guys and gals and secondly, um Like there's just such a larger cohort. I would need to hit such a high Survey number to actually hit statistical significance on sales data Right, like I would need something like I just off the top of my head I'd probably need to hit like 10,000 respondents or something to the survey to get anywhere near statistical significance on sales data Because that's so swingy and spiky Right, and and you've got it you you have a bias problem in the cohort you have people answering if you're watching this Or are you following me on twitter or something? Sure So so I want to kind of stay away from trying to back into sales data. That's not that's not what i'm here for Right, but things like this you can get to statistical significance much easier, right, right But if g w if you want to flow this those numbers, right if you want to throw us some sales data Hey, I'll toss them in the pile. I'll pivot table that right on in Slide it in Uh, so there you go All right, cool. Well, that's it gentlemen. I feel good about this. This is a lot of fun. I hope people like this one Yeah, uh, I hope people got some stuff painted. I hope people like going through this kind of data Like I said, we'll do seraphon next week So I appreciate it very much. I'm looking forward to that one. It's a fun army I'm I'm gonna get out all once I finish up with this project There's a couple things I'm thinking about messing with but one of them is I've got an old army of um Seraphon like a very old army And I was thinking about getting him out and doing another army in 24 hours with all my seraphon Uh, you should totally do that. I'll need to get a couple new I'll need to get like a new carnosaur or something just to have one of them to add in but I think other than that like I have maybe like three stegodons and Right itself. Yeah, exactly. I've got just like skinks for days and sores for days and Salamanders and I've even got Kroger and all that stuff Um, they're all metal so many of them are metal not not the not the skinks and the sores. They're all obviously Um, I don't think I would strip anything I'll just paint over it Who cares? I'm not stripping a 24 hour army project But what a great 24 hour army that would be like that's that's a 24 hour. It'd be such an easy army absolutely such needs And I think I'll play with like oil paints and stuff like that that would be a fun one Because then I'll just do it all and let them dry If skinks are involved burn it all down Uh, it's kind it's kind of like a pandemic. You got to quarantine the whole lot If you've got skinks in your proximity You're out of your mind. So I'd love to do a skink army Well, there you go next week. We'll we'll get into it. So there you go everybody. Thank you so much for watching I hope you really appreciated this little stats deep dive and found this interesting. Um, watch me on twitter and I'll have the I'll I'll post you out the link to where that is To where you can go get this data if you're somebody who's interested in taking a look at it. Um, I'll provide the raw I don't care. Um, if you use it, you know, just please credit back or whatever um I'll trust everybody to be responsible data managers with all of that Um, I obviously by the by just so everybody's clear. None of your personal data was collected in any way It's all anonymous like I have no idea who answered what just so we're All 100 clear about that when I say the raw data, I can't even see Anything like ip addresses that answer to whatever that's all hidden for me. So like I know nothing I just know some person hit five. That's literally all I have, right? Um, that's the that's the raw data that's going out there is just like number of responses and what they responded to okay Uh, cool. So just I want to be 100 clear that I would one I don't have any of your personal data and two I would never share it even if I did So there we go. Okay. Cool. Very good everybody. Awesome. Tyler. Thanks, brother Yeah, thank you, man. Appreciate you doing all this Hey, it was a lot of fun. Uh, and who doesn't love putting together more power points when I do my day job Something became my hobby as well Uh, for all of you out there, like I said, don't forget to hit like I really appreciate it when you hit like because it helps other people find the show so hit that And uh, that helps us out. It helps more people find the show. Uh, which is great That's what we all want to do especially in times like this because we're gonna be We're gonna be streaming all the time. So lots of expect lots of shows.  Nothing in my life has changed I still have all my normal work, but I'm gonna try to do it. So for all of you out there watching Thank you so much. It's deeply appreciated as always Uh, and we'll see you next wednesday


The following amazing story was published by a David Campbell on a site known as View Zone. It was a report regarding an incredible find within Oklahoma, subsequently traced out by David and his wife on location. Although the story gained very little media attention, the details, along with the photographs of the event, we have found extremely interesting, especially when we took into account our previous research regarding the strange, ancient anomaly known as Waffle Rock. I half-buried suspected fragment of a once in a larger object of possible alien origins, which has remained half-buried, resting where it struck the earth all those years prior, now submerged underwater as the result of a controversial reservoir project which swallowed the stone and the town which had built up around it. David recalled the event with his wife on the side. They had just returned from a weekly 600-mile distribution route to find a somewhat urgent message from a reader in Colbert, Oklahoma. The caller gave some extremely vague instructions on getting to the place, no names and no callback details. Intrigued by the story, they figured the worst that could happen was that they would have a nice Sunday in the mountains. After getting to the vague location given, and after several hours of searching the woods, they eventually came across an extremely peculiar, looking, possibly, cyclopean wall. Their initial investigations have baffled them. They had never seen ancient stones structured in such a way. They highly suspected that it was of artificial origin, due to the small apparent stones tightly interlocking which made up its structure. It wasn't until they climbed atop that they must have realized the true scale of their discovery. From the other side, the stones appear to be a highly complex arrangement of interlocking different mineral or metallic compounds, often displaying a honeycomb structure, the layers of, with a result of highly accurate cast layers, stacked together to make interlocking blocks of iron like stone. He recalled on the side, quote, What I saw there began to seep into my brain like ice water. Jumbled about and haphazard fashion were acres of squared, dressed and nudged stones.  End quote. Were these strange fragments, possibly once a single and very large object? They clearly share similarities with Waffle Rock, which is located in West Virginia. Are both these anomalous items connected? Were they once part of a very old and now semi-fossilized alien craft? What David has discovered may be another piece of the proposal regarding the Waffle Rock mystery. Often cases of strange rocks made up of strange metals are attributed to furnace activity. It, I hope, more investigation into this clearly huge and perplexing side is undertaken. How could this strange object possibly have come to be arresting broken into fragments within an Oklahoma for us? Another strange object made from a similar anomalous mineral, metallic like material, is the ancient Baltic Sea anomaly. Are both of these strange artifacts ancient spaceships? More details regarding David and Sue's curious discovery is clearly needed. We will keep you posted. So in a small place once known as Mineral County in West Virginia, rest a very special rock. Known as Waffle Rock, it is a huge piece of something very ancient, lodged in the ground where it must have been struck many thousands of years earlier. No longer visible to the public due to it being several meters below the water level of a dam built in the area, which forced the residents of Mineral County away forever. After a petition by many of the locals, two pieces of Waffle Rock were faithfully preserved for future study. One stayed relatively local to the area, while the other is preserved within the Smithsonian Institute. Dr. Jeffrey Epstein of the U.S. Geological Survey said, quote, Four sets of joints are apparent in the Waffle Rock. Just what kind of made Waffle Rock clearly remains a mystery, and any hypothesis that links it's of possibly having been part of a larger, artificial crab, quickly shouted down his absurd. The truth is, no one really knows what Waffle Rock is, but such hostility directed towards any extraterrestrial possibilities is something we always find interesting. Waffle Rock appears to have a metallic grating which runs through some of its form. Interestingly, a case we cover in another video regarding another less mention find of a very similar, strange, suspected rock formation was found nearby, where these fragments once pieces of an ancient spacecraft. We find it highly suspicious that the powers that we chose to submerge such a curious thing, subsequently hiding it from the world. We previously covered an intriguing discovery made within a forest in Oklahoma, discovered by David Candle and his wife while following up on a curious lead. This discovery, as previously discussed, is a compelling link to Waffle Rock, another anomalous relic we've previously covered, embedded in the dirt where it struck the ground many years prior. Numerous specialists have postulated that it could be a fragment of an artificial craft which disintegrated in the sky. What was astonishing regarding David's discovery was the similar structure of the object, which they discover, also partially buried and scattered amongst the woods. Possibly the density of this once enormous craft created using an intricate layering design of unknown metals, minerals, and alloys. Although further studies of this compelling discovery have yet to be established, it is with understandable caution that those with knowledge of the areas move forward. It must be noted that Waffle Rock, once a local landmark, had attracted a flurry of attention from geologists, scientists, and economists who had begun to ponder its unique and otherworldly characteristics. That was until the United States government moved in and submerged the artifact under several meters of water. The entire town, which had built up around this ancient objects, were forced out to make way for rough reservoir, which flooded the entire area. We have therefore undoubtedly being compelled to research further regarding David's amazing discovery. Also, due to our extensive understanding of the studies undertaken upon Waffle Rock of this site, similarities with that. And then, surprisingly, we've not been disappointed with what's been on Earth. It seems folks have been fully aware of the unusual, quote, mineral deposits within the Oklahoma area for quite some time. It seems possible that the entire area is an ancient crash site of a once enormous alien craft, known as the Oklahoma Mystery Stones. Could these unexplainable fragments have once been part of an ancient spaceship? Found throughout Oklahoma, they are often mistaken for a man-made objects, this clearly being due to the artificial appearance. And Oklahoma is not the only place we feel that could indeed be fragments of an ancient alien craft which crashed here on Earth. The founder of Mystery History gained access to detailed sonographic imagery showing the bottom of the Baltic Sea late last year, and now due to the findings which were chased up by mainstream media outlets in early January. Several other independent investigators surrounding ocean axes discovery of a right of the same suspicions. We strongly feel due to our research that the Baltic Sea anomaly is but a fragment of a much larger crash area which covers the seabed. Could these two objects have been part of the same ancient event? It seems while trying to solve one mystery surrounding these anomalies, you will often be confronted with several more. As always, thanks for watching.


Capture of Bakhmut cost Russia 60,000 killed and wounded. The West estimates that Russia has lost more than 60,000 troops as a result of the attempts to capture the city of Bakhmut in the east of Ukraine. A Western official told journalists on condition of anonymity according to Sky News, we judge that capturing Bakhmut has likely cost Russia at least 60,000 casualties in the Bakhmut Popazina sector over the course of the year-long battle. The official said he clarified that 60,000 is a conservative estimate of Russian losses in this area of the contact line, which includes both the wounded and the killed. Of these, the official added at least a third were killed. The source described the city as not strategically significant. Adding that according to the West, Ukrainian elements have withdrawn from the main build-up area of the town. We are seeing Wagner mercenary forces in the process of withdrawing, at least for now. Replacing these force elements is a significant commitment of Russia's already overstretched regular forces. The official said the total number of Russian losses in the war with Ukraine according to a Western official exceeds 200,000.


For each and every one of us, food tells a story. It starts with agriculture. And our actions impact its journey, each step of the way. We have one planet, and are part of one system. We need to reconnect with nature, and work is one. Let's rewrite the story of food. Our actions are our future.


The illicit drug market is an extremely profitable one and it causes a lot of human damage and suffering. It is important to understand how it works from production to consumption via the different trafficking routes and this report does that. It combines the knowledge of EMCDDA and Europol and helps us understand the whole chain so that we can better combat this phenomenon. The analysis provided by this report is unique as it combines Europol's organizational understanding of trans and organized crime with insights from the EMCDDA's monitoring and data analysis of Europe's drug problem and this in a global context. Two organizations that are committed to reducing levels of drug abuse and to attacking the criminal organizations that are involved in perpetrating the effects of international drug trafficking in Europe. We're seeing quite profound changes happening in the global drug market mirroring the social and developmental changes we're seeing in Asia, in Africa, in Latin America. The drug market changing in these countries in terms of demand and supply and that's having a knock on effect now for the drug market in Europe. We're seeing a much more global phenomenon and a much more joined up phenomenon. The internet is clearly playing a growing role in shaping the drug markets not only by providing a marketplace for new drugs such as so-called legal highs but also for established controlled drugs which are being sold on hidden dark nets. At the same time it's allowing the rapid diffusion of new drug trends by providing access to communication tools as well as expertise, knowledge and logistics. Europe has become quite an important drug producing region and this not just for synthetic drugs but also increasingly for cannabis. The trend here is to produce as close as possible to the consumer market to avoid interception. The consequences of this are for the criminal groups involved to increase their benefits and for our societies that they have to bear the costs, the costs in terms of public health, community safety and also the burden on already stretched police forces is increasing. The European drug producing scene is showing considerable degree of innovation for instance by importing chemicals that are not prohibited, not banned and then transforming them into drug precursors inside Europe from which synthetic drugs can be produced such as APAN which is a pre precursor for amphetamine. It's important to recall that the largest market for any drug in Europe remains the cannabis market with about two and a half thousand tons of cannabis which are consumed every year in the European Union. The domestic cultivation of cannabis in Europe is now widespread. What we see is an increase in some countries in large scale cultivation sites which are run by criminal organisations. We also see that some of them tend to run multiple small scale plantations to mitigate the risks for example the risks of being caught and we see also some violence which is associated with the cannabis industry. International drug trafficking remains the principal activity of organised crime groups in Europe. They're adapting to new criminal opportunities and changing smuggling methods and routes to evade law enforcement. We've noticed an increase in the exploitation of legitimate commercial transportation options such as containers, aircrafts, couriers and postal services and this allows the drugs to be moved through multiple transit points making them harder to intercept. To keep track of moving targets it's important to share intelligence on the location of individuals. Greater police and judicial cooperation makes this possible and it's essential to target and track and disrupt activities of organised crime groups involved in illegal drug business. Heron, a drug that's defined the problem over the last 30 years, now appears to be in decline. In part I think because of the rigorous approach in both demand and supply reduction. On the other side of the coin we're seeing a less discriminating stimulants market and particularly a growing market for synthetic drugs that can be produced near to the consumer. Both unregulated new psychoactive substances and control but previously not widely used drugs are becoming much more important on the European drugs market now and they could be potentially attractive to both old and new groups of users. Examples here include the synthetic cannabinoid receptor agronists and catenones from the group of new drugs and substances like ketamine and methamphetamine. This report is so important and so unique and it will feed into the EU policy cycle for the coming years and gives us a lot of important facts and background.


Aw, what's up everybody once again, it's Brand Man Sean and this video right here is brought to you by brandmannetwork.com because I signed myself. Now, this clip right here that I'm about to show you is me having a conversation with a rapper named Oran Major. Now, Oran is dope. I really love the way he's been navigating the industry and even this snippet is really about how he kind of finessed getting on a playlist but I wouldn't even use finesse. He just has a good way of going about networking and building relationships and that's extremely important because when you look at where he is now to the fact that he had an income of $20,000 from playlist streaming alone, it shows that you can move and make things happen in this way. It's the network. When I got on Spotify and I started looking around and started seeing the playlists I had realized that a lot of the playlists were just regular people, regular people that I can contact maybe through Facebook. So I started seeing the playlists that had decent numbers and they were getting decent traction and linking, matching them up with their Facebook profiles, a lot of picture. And he's just having to be one of them that responded. And I have followed up with him a couple of times and he responded a couple of times and also I didn't jump in his inbox like, yo, check out my music. It was like, yo, I really like your playlist, dude. And then I think maybe the last time I was like, yo, is there any way I could submit music to this playlist?  And all that. You know what I mean? Like without me really pressuring him, he wouldn't check out my music just for me contacting me that way. That's dope. Man, I'm glad you shared that approach because I'm sure you've done the same with people randomly because I'm sure people have hit you up before. And I know I definitely have looked up a lot of people who have not asked me to listen to their music. I just, I see them talking or I see them in some comment section, I'm like, let me check this person out. This is interesting.  But that approach is definitely like not going hard all the time. Like sometimes you just got to get people to know you, you don't have to necessarily ask for something. Yeah, 80% of the time it's like you want it to be like that. I just, I have artists on the label now and somebody I was with earlier showed me that both of the artists who have music dropping just sent them links. I didn't say anything prior to just sent them links. So I had hit them both up and it was like, yo, you got to stop doing that. That's the quickest way to get people to not listen to your stuff. Right. If you're going to jump into somebody inbox, have a conversation with them because people don't really care about your product as much as they care about you, you know what I mean? So if you get to know somebody and they have a relationship with you, then they're going to want to go listen to your project or at least they're going to want to share it and tell somebody else that, yo, you should check this and do it out. It's the mat work. All right. I know artists have heard something similar to this before in terms of don't just spam people. Don't just spam people, but I want to really explain and just emphasize how much this actually works. Now you can see the full interview of this on bramannetwork.com, but just from this snippet alone, it's enough to see the way Orn moves is something that's a little bit organic. It's very organic in the way he goes about things and not putting pressure on people, but making himself be known first. And why that's so relevant is at the end of the day, people are going to check you out if they want to check you out once they have time and they see you like enough and they see that you're carrying yourself a certain way. I can't tell you how many times where I'll just go ahead and say, you know, let me check this person. Now I happen to have like a few seconds and then I might go down a funnel and say, yo, this person is dope. And now I saw one, I check out the next one, then I check out the next one. And that's just as a fan since I was a kid. You know what I mean? You'll see something enough and then eventually you'll check it out, right? So if you can get yourself known and then people's face enough, they'll probably check out your music one way or another.  Not only did it allow him to navigate, but he believes in this method so much that he tells his own artist not to do this. Like, yo, you got to chill out. Sending those links is going to ruin your relationship. It's going to ruin your brand. So understand that there's very little benefit to just spamming people with links. Like for real, it's very little benefit. But if you can make yourself known constantly, starting those conversations, asking for advice consistently or updates or just saying, what's up? How you doing? So I added this song to this playlist, yo man, that's dope to the point where they just know you and have some kind of familiarity with you when that time comes and then you still ask in a nice way. You know what I mean? But when that time comes, then they'll be more likely to pull the trigger. I can't guarantee, but they'll be more likely and yes, it's more work. And yes, it doesn't seem like it's as beneficial on the front end, but that's how it goes. That's what separates a lot of folks. But I'm going to get off my soapbox on that one. Once again, you can see this full interview at brandmainnetwork.com because I sign myself if you like this video, go ahead and like button if you like it, mind's well-sharing. If you're not subscribed, you know what to do. Hit that subscribe.


A full disclosure, when I started this book, my father was seriously ill and was dying. And while I was still in process, he passed away. And actually twice, I said, I think I have to stop this project. Not because of just grieving, but also the books about spiritual fatherhood. And at that point, my father had just passed, and the idea of fatherhood was just a difficult topic. In an odd kind of way, it actually became part of my healing process. So, you know, some people who have looked at parts of it or say, oh my gosh, I don't know why I read this and just maybe start crying, is sometimes our greatest artistic work can be done when we have emotional intensity. And so I hoped that those who use this book might see some of that and might benefit from it because it was a labor of love and it was very much a part of just my own healing process with the grieving of my father.


Steve Rhodes, what's going on? Start building my arc over here. Oh, is it raining? Just in case it decides to not stop raining. Oh, we got that yesterday, in the day before. You know, is that a new storm coming in then? I know, this is, we got quite a bit of rain, man, no doubt. Yeah, it was great during the lockdown time period, at least on the southeast coast, because the weather was perfect, blue skies, low humidity, and then a boom, all of a sudden, the end of May, June rolls in, and it's just a, it's been a super soaker. So, and I don't, you know, I don't mind if it rains, I just prefer for it to rain in the evening time. That's totally, you know, but that... Well, golf courses, right? Four inches of rain, destroy a golf course, folks. Well, they don't destroy them, but you can't go out in it, that's the bottom line. That's right, that's right, that's right. So, hey, I thought we would start by taking a look at the markets, and first I want to make sure that folks truly understand that, you know, what you and I do here when we're taking a look at the markets, it's just so important, as you've did during your opening segment, where you're taking a look at so many different markets, and it's important to understand what's going on in the currency area, because we're all interconnected. So, we live in an interconnected world, meaning we've got to focus on more than just what is taking place in the US, and that also means that, and especially true with regard to our markets, is it's so important to understand what I refer to as the global flow of capital. There's always this big ball of money. I like to visualize this little metaphor, this big ball of money that's just floating around the world, and it's important for you and I to be able to figure out, is it being parked anywhere? Because it'll be parked where there's an area where there is an area of competence, we'll call it. And a way that I'm able to track this is with inside my e-signal software, this happens to be a table that takes us back to March of 2009, about 45 quarters ago. And here it becomes easy, because I track instruments, both in US dollars, that'll usually be the top line. And then in the comment column, as you can see, I've got the Dow price, Dow futures, and I've got Dow futures in euros, then in yen, and then in pounds, and then next to that is a column that's labeled ROC, that's the rate of change. So it gives you a feel for what the percentage rate of change has been from the low of that quarter, 45 quarters ago. So it takes us back into March of 2009. Now in real bull markets, what we see out here is we'll see a concentration of capital somewhere. Well, since that 09 bottom, the concentration of capital has been in the US, and it's been in the US in a massive way. If we take a look at the Dow futures as an example, this snapshot was probably from about an hour ago, about a 420% rate of change since that March low. Now if we start taking a look at the DAX, or the FTSE, or the Shanghai, we'll see a 213% or a 64% or a 23% or even gold since that time period, a 53% move. But as we take a look at major markets around the globe, it's very easy here to see where that global flow of capital was inside the US. In fact, when we take a look at how the Dow trade, it has traded in terms of euros to take into consideration either appreciation or depreciation of these currencies out here, we can see that the Dow had a 500% rate of change in terms of euros. So if you're trading the markets, you're sitting over in Europe, you're taking a look at how the Dow is performing, you've had a bigger winner priced in your local currency, which is the way that you would look at it versus going on in US dollars. And so this is where it's really important for us to try to figure out where is capital constraint. Doesn't necessarily have to be the US stock market, it could be commodities. Of course, if we take a look at the Goldman Sachs commodity index, we'll see that since March of 2009, it's down 59%. So certainly that's not where money had concentrated. Now, what we can also do is we don't have to just go to the 2009, the March 2009 bottom. Tom, you and I can take a look at March of 2020. And here when we see this, so it's been 12 weeks since that low. And we do see nice performance in the Dow via the diamonds out there, about 43%. Germany's got a 57% move off of the low using the ETF. So here I've got the ETFs and that way folks that are watching us, they can do this at home on their charts as well. But what this data table is telling us, telling me Tom, is there is no concentration of capital anywhere. That instead I take a look at this and say, this is just normal counter trend rally inside the markets. And this is worldwide. Now we can also take a look at the chart patterns that are going on worldwide. And you had mentioned the IWM Russell 2000. Thanks for doing that. Because I hadn't picked up on the fact that it didn't take out its prior highs. Which Tom is very similar to all of these other major markets out here. There was already problems brewing in Australia, in Canada, in Germany. Even though Germany's had a nice bounce off the bottom, lower left-hand panel, take a look at the descending trend line. In fact, this morning, or as of the close today, price got right up into that trend line. So the German DAX is close to a very key level of resistance out here. But this shows us all of these downtrends that were in place across the globe prior to the COVID-19. Now the exception here is the DAO. Now all that makes sense when we took a look at the global flow of capital. Now earlier I had mentioned that markets are interconnected. So this is a line chart that takes look at the DAO, the Shanghai, the Nikkei, and the DAX. We can see that markets tend to top and bottom at the same time. So if markets are topping, and if markets are topping right now, or whenever they would top, we should see signals across the globe. And if we take a look at the DAO right now, one of the tools that I use is the Tom DeMark nine count out here. Well, the DAO has completed that pattern and a top will be in place as long as price doesn't close above whatever the high today will be. So it's got a topping signal. The NDX 100, which led the markets higher on its weekly timeframe, is in a TD nine count pattern. The footsie completed a TD nine count top, but today, the Shanghai has completed a TD nine count. So to go take a look at all those charts would take a ton of time. Instead, Tom, I've got this little market analyzer tool that I've developed that subscribers and I track. We can see exactly what is going on across the globe utilizing these patterns. So if you take a look at this column, about five or five from the left out here, it's got D dash TD nine. These are the daily TD nine signals. This is in essence live as of maybe about a half an hour ago. And everything in pink out here is a potential topping signal. The next column to it is the Chapman wave. And I look for wave number seven or letter G. So look at all of the topping signals that are present on the daily timeframe. Look at all the topping signals. We go over several columns to the right on the weekly timeframe. We've got similar signals coming from the monthly timeframe. So this allows us to see what's going on across the globe and I'd summarize it like this, Tom. A market top may be just around the corner. And we're talking just over the course of the next couple of days out here. And I can tell you folks, go look at tailored brands. Steve, check this out. This is sick when you were just coming on the air, right? So tailored brands, okay, that's men's warehouse, right? We're trading at 244. They say they're going bankrupt, okay? And the stock's still up 17 cents. And folks, my point is that's as cool as it gets because that's what does happen at talks, man. If there's no doubt. Listen folks, come over to our website at TfN. You're going to see it right on the featured content, mastering probability, hit it, subscribe. Steve, we look forward to the program tomorrow. Thanks Tom, happy reading. Thank you. Stay right there folks, come right back.