Game one goes to Amherst, 15-7 over Bates, and I'm here with Amherst head coach Sean Wood, second season at the helm. And coach, just overall thought on the game. I thought it was a really good game. Two good teams getting after it. It's an in-league game, which is kind of rare for the Mustang Classic, so it was really exciting to sort of get back into league play. I thought both teams were battling. I thought the ground ball play was excellent. Would it like to see us be a little cleaner in between the lines and on offense? I didn't think we actually shot the ball particularly well, even though we got a lot of shots. But overall, a good game. They're a well-coached squad, so I think it was a good game overall. You told me during the week that you guys want to play fast because you have a lot more depth this year than you did last year, and I thought you guys did a good job at doing that today. Yeah, we want to continue to push the base. I think our depth is definitely one of our strengths. Although we had some injuries along the way here, I do think we're going to continue to play very fast up-tempo, riding lacrosse. So it's become one of our strengths, and the guys like to play that way. They're having a lot of fun out there. Tanner Krumman-Acker and Jake Bennett, I believe, combined for seven of the 15 goals today. I know Jake had four. Talk a little bit about Jake and what he was able to do. He's a fiery player. If he gets going, he's tough to stop. We know that from practice.  He plays with a lot of deception in his game. Then Tanner is just so crafty. He's a tough cover, and he plays really unselfishly. So those together really combined for a great effort offensively today and really led us. Speaking of great Mitch Likens and goal, we talked about him during the week. He had some huge saves today, point blank. Yeah, he's been excellent. All three games this year, he's been top notch. I definitely think he's an all-American candidate if he keeps playing like this. He just isn't a racer down there, and he's become one of our leaders on defense as a sophomore, too. So I'm really pleased with his play. Just like basketball lacrosse is a game of runs, and I thought that you guys did a great job. Every time Bates scored a goal, you answered with another goal to stop any potential momentum. Yeah, that's huge for us, and I think we talked about it last week against Tufts as well, like answer back, answer back. And that's something that we constantly remind our guys. When they score, it's round to the next play. And I think guys have a really short-term memory when it comes to opponent's goals, which is great. Speaking of short-term, you have a short turnaround coming up. Everybody does, right? So the message to your team, what you want to try to accomplish between now and tomorrow? Flush today, and get in the training room. You know what I mean? Let's take care of our bodies, let's eat right, let's get back to the hotel, get off your feet. It's about physical rehabilitation right now. Two games in lacrosse, being such a physical, up-tempo sport, especially the way we play, we've got to recover. And we'll move on to York tonight in our Scanner Report meeting at six, so that's a big message. Does it give you a little preview as to how your team can recover? Like, if and when you make it to the NCAA tournament, you'll have to do that there, right? So does this give you a little window into how you guys can respond? Yeah, that's one of the reasons why we love the Mustang Classic. I think it's the best regular season event in lacrosse, but it also gives you a preview of NCAAs, because you have to play back-to-back. So you kind of get used to recovering, get used to moving on to the opponent. The staff gets used to scouting to opponents during the week. So I think overall, I guess it's all used to NCAA play, which is one of the huge benefits of this tournament. Amherst under Sean Woods wins game one, 15-7 the final. For Sean, I'm Gary Stein. We'll see you next time on Go Mustang Sports.TV.


Good morning, Don. How are you? Great. Thanks. Good to see you again, Jack. I've been reading about you in the news, and I just had a couple of questions about what your company is up to at this moment. I'm particularly interested in your relationship with the coal industry, because I'm involved as a contractor to the Department of Energy on rare earth projects related to coal. I'm a peer reviewer. I look at, they call me and ask for reviews of projects and situations. So it's a very active area and certainly flying a little below the radar, the public's radar, because there's a great deal of cynicism that, oh, you can't produce rare earths from coal. In my opinion, that is not correct, but I'm wondering what Avalon is going to bring to this very active national project at this stage? Well, I didn't have much awareness of this interest in recovering rare earths from coal until this summer, when I was actually approached by this group, a private company out of the states that inherited this closed coal mine site in southern Illinois. And through basically serendipity, I discovered there was some rare earth enrichment in the waste there. But they didn't know anything about the rare earths business. So they asked around for amongst their network of friends who they could talk to about it and found me. And so I was happy to talk about it. And the more I learned about what they have there, the more intrigued I got with the possibilities there, that this could offer in terms of potentially a very low cost, simple extraction process technology to recover the rare earths, something that would be very innovative and set a new precedent for the whole industry on how rare earths can be recovered, simply in a much lower cost than the traditional solvent extraction methods. I agree with that. And when people question me about this internally in the US government, I always tell them, what's the most expensive part of a mine, of a rare earth mine? It's the mine. Developing a mine is hundreds of millions and even bigger numbers with a B, just to dig holes in the ground and get everything permitted and organized. So the coal people internationally, of course, that's what they already have. And not only that, they have a natural method of concentration that's called burning and they can't throw away the waste. So they collect it all. And of course, since the typical coal deposits, and I'm not familiar with the ones you're working on, but typically they contain 300 to 600 parts per million rare earths in the coal. When you burn the coal, that multiplies quite nicely because, of course, almost all of the carbon is gone when you're done. So it's a natural method of concentrating. And the issue is, of course, you have to process, extract the material and separate it. So I'm not aware of any actual rare earth companies such as yours being involved at this point. There may be, but I'm not aware of them. And so I'm very intrigued and I'm certainly going to follow what you're doing with these people because I think it was very smart of them to contact somebody with as much experience as you have. Now, what's happening also now to change something with that? What's happening in Nechelochko? I know you've also got an Australian partner out there, but I'm not clear as to what's going on there development-wise. So we're basically moving forward with the original plan we developed with them, which was to start with a very small-scale project to develop a resource in a separate deposit that occurs on the property, a small satellite deposit called the T-Zone that had some work done on it historically, where there's a small but very interesting resource, very rich in bassesite, and a pegmatite where the mineralogy is so simple, we can make a concentrate with just using sensor-based or sorting technology, which makes it very low cost to implement and relatively easy to permit because you're not creating any toxic waste or anything like that that creates an environmental concern. So we're moving forward on that quite quickly actually. We'll have an update we'll put out next week on where that is all at, but we think it could be possible to get something started there as little as a year and start to show the world how you can do things a little bit differently to start a new rarer supply chain outside of China. That's very good because what the United States, I think about a century ago some politicians said what the United States needs is a good five cents cigar and I think what we might say right now is what the United States needs is rare earth mines in development and actually in production, that would be real good and notwithstanding what many in the press say there is a very large interest in Washington and getting something like this going and not because you've asked, but because everybody's asking me this as far as they're concerned in Washington, Canada is perfectly okay as a domestic supplier. I get a kick out of this because many years ago when I first started working with the Department of Defense they would look at me and say Canada, where is that? They thought they were being real cute. Now, I was in a meeting in Washington three weeks ago. The question came up to somebody very important. He said most of the projects in development are in Canada and so he said well that's perfectly okay and I said it's perfectly okay. It used to be it wasn't. Well now it is. He says as far as we're concerned anything done in Canada is considered domestic from our point of view. So there's certainly going to be a lot of interest in what you're doing and your timetable if that's correct of a year puts you very far ahead of the pack. So that's good. And what I can tell you is that there's a lot of interest in Canada now in government circles on seeing how they can help in establishing these new critical minerals supply chains following up on the meeting that our Prime Minister had with the president earlier this year and they are working hard on trying to come up with a strategy on this and to their credit they're reaching out to people like me asking for ideas and suggestions on what they can do to help facilitate creation of these supply chains and the main message I'm giving back to them is is that where every new aspiring producer needs help is on defining the appropriate extraction the processing technology and getting access to demonstration scale plans to prove that process and that's starting to resonate actually I'm optimistic that we may see some action in government circles to perhaps create such a facility to serve our interests here in Canada maybe elsewhere. I know you're correct and in fact in both governments there's very much interest in this demonstration plan as you were saying I happen to know that one or two are underway so this is really happening and just as a final statement let me say I'm trying to think of how to say this without being taken to the stockade at Fort Leavenworth. Let's say that the President of the United States will directly address this issue shortly. I'm not saying he's going to make a public statement but he will be actually discussing the rare earth issues very shortly now. So this is really happening and don't let anybody kid you this is not political five minutes or anything like that there's enormous pressure in Washington to get this done and there's pressure out of where to get it done and as you know Don there's plenty of demonstration processing projects that could be done in Canada if it were just a little bit of financing and I honestly believe that the Canadian government and the American government are going to get behind this. We're well aware of that and the interest in the U.S. government circles and that's one of the reasons I was very interested in an opportunity to participate in something like this coal mine waste project in U.S. and I'm fascinated with it actually and adding to what we were talking about earlier on that the thing that intrigued me about this project that's a little different than the scenario you were describing as I know there's been a lot of research on recovering the rare earth from the fly ash waste but in some cases and this is an example there is rare earths in solution in the acid mine drainage and this company discovered this by treating the acid mine drainage with lime to precipitate the out sediment and neutralize the acidity and so sampling those precipitates discovered very high levels of rare earth enrichment so that's what's kind of created the opportunity and alluding back to the cost that you mentioned earlier on a new rare earth mine, a case like this basically Mother Nature has done most of the work for you already and getting them into solution. Can you tell me, are the rare earths presenting in the remaining liquid or are they going into the sediment in the case of where these fellows are treating the acid mine drainage? We're just starting to do some work. It's so new and we're doing some sampling now and I want to kind of better understand how this whole system is working and where the rare earths are coming from but just the same thing is it can probably be brought along very quickly similar to what we're trying to do on our project in Northwest Territory. Well, all I can say is you're definitely on the cusp of the way you've done this is really happening and I don't know anyone else as far along with it in Canada as you were. We've spent a lot of time thinking about innovative processing technologies in this space and I'm excited to see that we have an opportunity to try and implement this now. Good. Well, thank you very much for the update Don and we'll let's keep in touch. Absolutely.


Hello, time for another adventure in Mordor! Oops, that was messy. So, who's saying? I've decided that now is a pretty good time to expand my horizons and start working on another zone. Mmm, Ghost Tower. Lovely. And now it's time to the forge. Awesome, faster. Is this my inheritance? Maybe it is, maybe it is. I suppose we'll find out soon enough. Right, now I can fast travel. And when I die I will be resurrected at the nearest unlocked forge tower. That's quite useful, quite nice. Advanced time in the world by highlighting an unlocked forge tower and pressing Z, advancing time will resolve power struggles, repopulate herbs and change the time of day. Why would I ever do that? I would like to resolve power struggles all by myself. All by my lonesome. So, we've got a few new quests, a few new power struggles, confrontations. So I say time to go and find Misami Tildin, and then time and, well, time to kill someone, really. New captain, perhaps. Let's see. Is it real? Am I missing something? Right, maybe it's on the ground. Let's see. Seems like there could be something to go on the ground. Fine, now release your slaves. Right. Nice and clean. It's far too stubborn to work for the Uruk. Well, I don't think they're going to give him much of an option. Can't get up here. Uruk's Hollow. Before Sauron's return, Uruk's Hollow was a seasonal market town known to the Abcasts as the Slabs. That has become a slave camp, where Sauron's army gathers captured men to be processed before being transported to work-sized, true-doubt Mordor. Only a stronghold survived their incarceration in the Hollow, and those that died become meat for their alak-saur-bones or the Mordor rats that share their cages. Despite the grave hardships of life in the Hollow, the prisoners have not lost all hope as stories have begun circulating of a vengeful spirit who strikes terror into their oppressors and helps the Outcasts to escape the hell that Mordor has become. Huh, that sounds familiar. So I was going to kill some Orcs, or am I just going to... ...poor in the entire city? Yeah, fine.  Special rewards, I love those. Kill all gang followers first. Fleshburner. Does he have any weaknesses that I know of? Fleshburner. Nope, he's not one of the... ...one of the captains that I know of. Who's there? Right. No, I think I can... I'm very certain... I will be able to sneak... ...in some way. A little bit of damage now and then. Maybe I won't. Maybe... Thanks for that. I appreciate it. Right. Well, that didn't go up. I thought that it might. Oh boy. Is that the second captain? Okay, that might actually be more than I can handle. That is very, very unpleasant. I see why people might need... ...to study up on weaknesses first... ...before, you know, doing what I did... ...and getting into a stronghold entirely unprepared. Hey, that won't stop me. Actually, it might. Might be the end. This is a form of ballet, actually... ...in case you did not... ...so that's what the blowing up was. Right. He regenerates. So that's nice. Remember that. Perhaps I can use his arrows against his men... ...which I'll find now. Seems like it. Yeah. That works. He'll actually do my job for me. If I manage to actually, you know... ...avoid being blown up by him. Right. Come on. Shoot. Now's a good time to shoot, might. Well, that was the end of that. Orcs have a concept of time off. That's not good. I think I'll hold off. Sorry, you were saying... So Feller isn't pleasant. Let's go and take another art fact while I contemplate... ...my fate... ...as now utterly failed superhero to be. Oh, there are no superheroes in Mordor. Just good men and bad orcs. Well, I can see that happening. I'm going to deal with your intelligent camp right now. You're not an orc. Here you are, mate. Huh. Simple and clean enough. Let's see this art fact. Oh, Blade. Right. Númenorians carry the great many things with them... ...in their great Diaspora. Their journey was long and perilous... ...and not all who undertook it lived to see their new homes. They carried with them what they could. Beyond their physical possessions, the tools and the trinkets... ...they also carried with them their shared dreams for a better life. Their land was consumed, but they would live on. And their relics are spread throughout Middle-Earth. Lord it over us. Don't they just? Sauron's right. We can live without pain, without growing old. And you want to go to war to make that happen? I want the king to listen to good ideas. Well, he should have nothing to do with Sauron. Fighting with the elves is not a bad idea. It's the worst idea imaginable. I agree. That woman was really foolish to bind to Sauron's promises. It's what it's like people never learn. Elven's witness, lovely. Nothing else.  I don't like you. Let's see. I like it just the way it is. Useful? Huh. Right. He came at me rather straightforwardly. That seems like a narcissistic orc concept. Honestly... I'm not sure this is going to be... much of a problem for me. It doesn't seem to be all that powerful. Oh, he's trying to run away, is he? I'm going to interrogate him now. The captain means that he can be found nearby. Right. I think I want to know more about this fellow. He murdered me after all. He can be killed instantly using stealth finishers, conventioned by explosions. Vulnerable to combat attacks and finishers. He is unpleasant. Oh, I see why my combat attack... I mean, my finisher, my execution, did no damage to him. He was invulnerable to it. That's logical, since he's an archer. Yeah, very, very unpleasant. Delicious. Plus, two health shots and a kill. Are you a sweep with the one? Okay. You're very far away. I don't care about you yet. Let's do this mission and... sign off. Ah, Elveret Guiltoniel. He was singing to him when the ambush came. It was the last mistake his enemies ever made. Legend of the bow, Oscar. Another challenge mission then. Disarm of the bow. With headshots, eh? And please stand still. Thank you. Do I have a time limit? Oh, no. I don't. Fire at me now, please, gentlemen. I'm all out of arrows. It really isn't that great. Maybe I'll get... Actually, there are some in the tent, I don't know. I don't know.  That is actually slightly... quite more unpleasant than I thought it would be. Hey, is that the captain?  In the middle of something. Jesus. I need to kill... one more... I did it. I did it! What do I do now? Oh, I should kill all the archers, of course. So, really, I didn't actually need to kill them all. With headshots.  I only needed 10 headshots. Not good information. Right. I got a bit more health left. And hey, I did it. Lovely. Now let's get back to killing the captain, shall we? Yes, yes, I already... Oh, allow a burst of unlimited health, short focus and far arrow. That's actually also very, very useful. That was another captain. I'm just killing them left and right, aren't I? Huh. Honestly, I killed that guy. And I didn't even know it. That was a lot less epic than I hoped it would be. I was imagining... fairly battles of death and... No, no, you don't. Leave me alone. I don't want to die. Time to run away. Time to run away, away, away. Away and to be so very happy and... Yes, what was it? Gay? Yes, I do believe so. Now, I'm not in the territory I want to be at all. Hey, I killed someone. Bare as bones, level 12. Good. Right, so let's just go and unlock another territory. Because, you know, why not? Not going to fight those unlucky fellas. The good thing, I learned to do headshots. Well, I didn't actually learn it, but I certainly improved in headshotting my enemies with a spirit bow. The bad thing, I... Well, I kind of killed my arch nemesis by mistake. That was easy. Too many friendly, lovely doggies, pets. Wonder if I can keep one. There was a way, wasn't there? Wasn't there? Oops. Well, honestly, I thought that this would end him. And it did.  Which is to say that most of the time is very easy, but sometimes it gets unknowingly difficult and loud and a lot of cursing goes around and no one is happy for a very long time. But not all the time? No, not all the time, not at all. Time to reinforce. Well, not that we're done with that. I would say that today I made some nice progress. I like it. Thank you for watching and me and GhostBuddy are going to see you next time.


Remember the phrase, someone got me sick? Doesn't mean the same thing anymore these days, does it? Hey there, NJRoot22.com here with another little kind of general interest vlog. And this is about the days when people used to say, oh, someone at work got me sick or a Billy's kid got me sick. You basically got a cold. You caught it from somewhere. Maybe even your fever. And maybe sometimes you got a bad flu. Some people even got pneumonia. And guess what? They got over it, both literally and figuratively. Today, that's not really the case now, is it? It's a major scary crisis. Getting sick. People are writing logs about getting sick day one through three, day four through seven. I got cold. I couldn't breathe.  That's how the human body works. There's viruses and good things always happening. It's like there's like a balance going on in your body. And people didn't really think about getting sick. They just got sick and dealt with it. They lived their life. Sometimes you had to call out from work and you might have been bedridden for a couple days with a fever. You'd sit there sweating. You wouldn't feel very good, but you got over it. You broke the cold, so to say. Today, paranoia is more of an epidemic than anything else. But it's hard to breathe. Ah, that's one of the big things you're hearing about these days. It's hard to breathe. People may have forgotten that when you got sick, you got something called chest congestion. It's mucus and all this stuff that can't really expel itself. And you had entire aisles in the supermarket and pharmacy that were dedicated to these things like cough suppressants and chest congestion.  But that's just called a nasty cold. And people used to get them all the time. I mean, some people got them every year. Some people got a bad one every five years or three years. I don't know, but don't just see how this fear of a cold or a flu has kind of like amplified overnight. It's just crazy how you can change the mindset of an entire population so fast. But, you know, if you look at the statistics, if you can even believe those or not, or just look around your neighborhood and see who's around, nothing much is different, except maybe the clothing accessories that people are, everyone's wearing these days.  That's it. If you liked this video, please hit the bell and subscribe, and I look forward to seeing you next time.


The Aboriginal Rights Coalition decided that it was important to create some kind of educational resource that would focus on the major themes and recommendations of the report of the World Commission. And it was developed in collaboration with Indigenous peoples who talked about the importance of an educational process that engages not only mind but heart as well. I'm going to ask everybody to please find your spot on the blanket and we'll get started. The facilitation settler team in the blue t-shirts will be joining us soon. They haven't arrived yet. These blankets represent the northern part of Turtle Island or what we now know as Canada before the arrival of Europeans. You represent the Indigenous peoples. European explorers had just quote, unquote, discovered you in your lands. And this is what this exercise is. It's a transformative process that affects not just mind but heart.  The settlers will now walk to the west and surround one blanket. Those with white index cards, please raise your hands. You also died from various diseases. Please have a seat in your chair. The last person recognized by the Europeans as your people, your language and culture became extinct. The settlers will have one blanket full of people leave the exercise to represent this. You were enfranchised. Like residential schools, the purpose of the 60s scoop was assimilation. You represent those who were taken out of your communities and placed in residential schools far from your homes. In the high Arctic, Inuit communities were moved to isolated, unfamiliar and barren lands, often with very bad results. Please step off the blanket.  At this point, we asked people to look around to remember what the room looked like at the beginning, to notice how things have changed, to hold those thoughts in your mind, to ask yourselves what you have felt during the last 40 minutes.


Hello, my name is George, George Milosevic. I'm a graduate student at University of Texas at Austin. And my advisor is Philip J. Morrison. This work has been done in collaboration with him and his former student, Manas Vilingam, who is at Harvard University right now. It's called on Cascade Reversal and Extended Image D. So the audience will be briefly introduced to Extended Image D in this Hamiltonian topological properties. And then we'll start talking about the turbulence, flux, transfer rates, and direction of Cascades in 3D and 2D turbulence. So recently, attention has been focused towards the turbulence at small scales, at least in the context of astrophysical turbulence with the examples of Earth's magnetosphere and the solar wind. We are investigating the helicity Cascades. And it's known in image D has been known for a very long time that there is an inverse cascade of magnetic helicity, which is often linked with the dynamo mechanism. But the question that we are asking are what are the effects of the electron inertia that is oftentimes ignored when you do image D? And for this, we are using the model called Extended Image D, which is formally a single fluid model, but it's endowed with two fluid effects. And these are a whole effect in the electron inertia that I just mentioned. We're going to work in alphanic units normalized to a typical length scale, so everything will be dimensionless. And the important parameters are the skin depth that you can see here. So there's an ion and electron skin depth that are proportional to the corresponding masses.  And this is the Newton's law for the bulk velocity. And if you ignore the DE, so if you ignore the DE, then you basically recover the regular image D. Notice the star here is defined over here. It also depends on the DE. And of course, you need Faraday's law. And again, so if you ignore the DE and DI terms, you're recovering regular image D. But this system fully describes two fluid plasma. And the various models, the various Extended Image D approximations you get from here have been shown to be Hamiltonian by Abdelhamid Kawazura and Yoshida. And this was later confirmed by us. So the reason people care about Hamiltonian methods is because they allow you to show that if you have a reduced model in the nondisputative limit, it will conserve energy. And there are some models in the literature that do not. And what you work with is a Poisson bracket that gives you time evolution of general functionals. This is the Poisson bracket. It depends on variable psi that for Extended Image D will consist of the density velocity in the B star. The star is defined in the previous slide. And this is the Hamiltonian for Extended Image D, which consists of the kinetic part and the magnetic part and the thermal part. The nice thing is that this Poisson bracket allows you to find the Kazumian variants, which are basically like functionals that commute with any other functional. So if you commute it with Hamiltonian, that's the time derivative of that Kazumir that basically tells you the time derivative will be 0. Therefore it's integral of motion. So this is a way to find integrals of motion. There are some other perks of Hamiltonian methods that I'm not going to go into. And the Kazumian variants for Extended Image D turn out to be these, which look very similar to the A dot B in MHD. But they are more general because this is a definition of B plus minus, which has a B star here and the vorticity. And A is basically an uncurl of B. And the kappa that you see here, there are two solutions of this quadratic equation. So another property that the general two fluid model has is the lead ragging of the two generalized magnetic fields. And basically lead ragging is more for math people, for physics people. It's known as flux freezing. And I'm sure people are familiar with this. People in MHD are familiar with this. So I'm going to skip. Oh yeah, and by the way, if you're interested in topological properties of Extended Image D, this is our paper on this topic. OK. So now we are in position to start exploring turbulence. We're considering the homogeneous and compressible Extended Image D turbulence. And people in turbulence are familiar with the direct cascade where you have a driving range and a dissipative range. And there's an assumption that the same flux of energy or helicity flows through each wave number. This principle was incorporated in this other paper that was done by my collaborator on this work, where they found the Kolmogorov spectra for Extended Image D. Now, the first step that we are doing, the first question that we're asking, we want to find the dissipation rates of the helicities. And we're basically following in the steps that were outlined by Vanerjee and Gaultier, who did this calculation for Hall Image D. But we're doing the same calculation for Extended Image D. And you work with two-point correlation functions, where x prime is basically evaluated is displaced by an r from the x. And the brackets denote the ensemble average. And upon applying these lead-ragging equations, you can easily show that this is the evolution equation. So in a stationary regime, this should be 0. And therefore, the helicity flux transfer rate should equal the damping, the phenomenological damping term that we add, where delta here stands for the increment. And f prime is basically f evaluated at x prime. So it's important to point out that, while this expression looks very similar to the one obtained by Vanerjee and Gaultier, it has more physics in it. It has the electron inertia that wasn't present before. And of course, in the Hall Image D limit, when you set dE equal to 0, you recover their results. So what is different? Well, in Hall Image D, the Casimir invariants are these. So these are the helisties, the a dot b and this one. And in extended image d, it's more complicated. So this one looks essentially the same as the mHd magnetic helicity. And this is some sort of combination of cross-helicity and magnetic helicity. Here, everything is combined in extended image d. And these authors that I mentioned previously, they argue that in Hall Image D, if you just look at this expression, they are assuming that you will get an inverse cascade because in image d, you have an inverse cascade of magnetic helicity. While this one, they're arguing, will have both the inverse cascade if magnetic energy dominates and the direct cascade of kinetic energy dominates. But then we are led to a question, what happens if we work with this more general model, which seems to have magnetic and kinetic contributions that are more symmetric? So what are the effects of the electron inertia? And how is, because if you look at this expression, it's more symmetric. So you would expect both cascades. And so how is the direct cascade of magnetic helicity lost when you go to Hall Image D or end image d? OK, and so for this, we decided to basically calculate the absolute equilibrium states that would predict the direction of the cascades. This method has been used earlier. So basically, you can find this in this turbulence textbook on image d. Basically, what you do is you find the equilibrium state and that's given by this Gibbs distribution. And then you argue that these various spectral quantities would like to relax into that state. However, we're not letting them relax. We're constantly pumping the energy. So this is a partition function and the large multipliers in the integrals of motion, which are basically energy and the helicities. And this approach has been successfully invoked in hydrodynamics in image d by Kreikman and Frisch. So that's the reason we're using it. OK, so the thing is that we wish to compare results to those in the literature. This particular one was done in image d. And the problem is that the generalized helicities that I mentioned earlier, they both become magnetic helicity when you ignore the, yeah, I was on the previous slides, but they're very symmetric and they both become magnetic helicity if you ignore the electron skin depth and the ion skin depth.   So this one becomes like cross helicity and this one becomes magnetic helicity. So it's more consistent with the image d. So in whole image d, so yeah, the first thing that we do is we calculate the absolute equilibrium states for whole image d because the expressions that you get in general are very complicated. So these equilibrium states are found, by the way, in the Fourier space. So you have to plug this in and then find the expression. This is the spectral quantity that corresponds to the magnetic helicity. And we're, it's important to point out that we're interested in how much of it we have per wave number magnitude. So you have to multiply with this four pi k square in 3D and you get some complicated expression.  But eventually we analytically show that these are really representative plots for the spectral quantities of interest. So this is the energy, cross helicity and magnetic helicity and the idea is if a spectral quantity is peaked at high k, it means that it would like to flow, it would like to have a direct cascade whereas if it's peaked at the low k, it would like to have an inverse cascade. Remember that low k corresponds to large scales and the high k corresponds to the small scales. So this is basically consistent with MHD and this result has been obtained earlier actually by some survey view and some other authors. So this is basically known and consistent with numerical simulations. What is less known is the inertial image D limit. So inertial image D is a model that lacks the whole drift. However, it does have the electron inertia. So basically you drop the DI and it simplifies your calculations considerably. And in addition, we have to assume something else to get a nice result and we're assuming that we are in a very short scales. So much smaller than the electron skin depth. And in this case, this kind of expression is obtained from magnetic helicity and the corresponding expressions for the energy and cross-helicity. And the plots are here. So this is energy, cross-helicity, magnetic-helicity. So the colors, by the way, correspond to different values of total cross-helicity over the energy. And what you see is that there is a market difference in how magnetic-helicity behaves. So this is a direct cascade again because it's peaked at the high K. So it would like to flow into the smaller scales. And this is the main result of our paper in New Journal of Physics where we're claiming that we're predicting that there should be a cascade reversal when you cross this DE scale. Of course, it hasn't been confirmed yet numerically which we would like to do very much as soon as possible. Okay, so now before I go into the, yeah, let me go into the 2D results that we got. So these are not published yet. The thing about 2D, first of all, the numerical simulations here would be much easier. Also that in 2D, inertial image D is more justified because basically, if it's a pure 2D though, you can essentially drop the ion skin depth. It doesn't really, it doesn't, an equation to the motion don't depend on it. And what you do is you represent the fields in this clutch-like form. So this is reduced image D except this is reduced extend image D. You have flux functions and stream functions. And for simplicity, I'm assuming that Z direction is completely absent. So V and nu are zero so that we are in pure 2D. And recently there was a paper that also inspired me to do this 2D extend image D turbulence. There was a paper by Grasso who obtained a Hamiltonian formalism for reduced extend image D. And so the Casimir invariants were available to us. And so we have two continuous sets of Casimir invariants. In fact, they're a little bit more general but we are using quadratic ones because quadratic invariants will survive under truncation. And we do truncate our continuous case base, right? So that's why we would like to have quadratic invariants. And I need to define certain quantities here. So the psi is a flux function and the psi star is like the B star of extend image D. In fact, it very closely corresponds to it. Omega is the Laplacian of phi. So phi is a stream function. So this is like magnetic elasticity in some sense. And this is like a cross-elicity because it's a little bit like V dot B in this, yeah. It corresponds to it in some sense. And yeah. So next we do again the standard Fourier expansion and these are the spectral quantities for F and for the Hamiltonian. And again, I'm not listing cross-elicity because it would take too much space. And we seek the equilibrium states that are given by this Gibbs distribution and this is the equilibrium for F. It's a more simple expression than the one that you have in 3D case. So now you can consider to understand how it behaves when you change the K. It's convenient to again make some assumptions. First of them is pretty common in this kind of business is to assume that cross-elicity is zero. That leads to gamma equals zero. So this parameter is zero and then this part just disappears and consider the MHD limit. So the MHD limit has been handled by five and other authors a long time ago and then confirmed in numerical simulations. So basically that's if Kd is much less than one, then this quantity, okay, so you can actually do this in your head. If Kd is much less than one, then you can drop this term. So this denominator scales as one, and numerator goes as K square. This is zero, beta you can kind of ignore under, you also have to analyze. There are some normalizability conditions that restrain where these quantities can be. So roughly speaking, this term scales as K square and this is inverse, right? So it's one over K square, but remember you have to multiply by the volume of your space, which is two pi K in 2D and so this term scales as one over K and that's the typical sort of inverse relationship that suggests an inverse cascade for this quantity. And for the energy you have a linear relationship. So I'm not listing this expression but it's a similar sort of estimation and this has been known. So we are basically recovering their expression. However, this is a sort of more new result where we're looking at the small scale. So this is extend, image D limit. Scale is smaller than the electron skin depth. And this case, again, you can do it in your head. So Kd is very large, so one can be ignored. So K cancels out. So this is constant. This remember is zero because we're considering that the states are not, you know, like V is not parallel to B basically. So there's no cross-solicity. So this term is also not there and this is constant. And then you have to multiply the constant by K which means it goes linearly with K. So there's a different behavior here. The energy though behaves the same way. So it's a direct cascade, it's a direct cascade. This is an inverse cascade and this is a direct cascade. So there's a cascade reversal into D as well. Okay, so I think I'm doing well on time now. Okay, so to sum up, we have addressed recent interest in short scale astrophysical turbulence and mostly theoretically, we haven't really applied it anywhere. We're hoping the people will apply it somewhere. And this is a little table that kind of tells you how the different invariance behave as you go through the scales. So MHD governs the large scales, all MHD smaller and inertial MHD even smaller scales. And then there are new 2D results that also kind of behave in a similar fashion. So the energy is always a direct cascade, the cross-list is a direct cascade and in the inverse cascade becomes a direct cascade for the magnetic helicity. Okay, and so yeah. So also the dissipation rates were computed but they basically motivated us to look for the cascade reversal. And the lack of the inverse cascade at small scales may have impact in dynamo theory. We plan to test the direction of case case into D numerically and maybe in 3D. There are some new results by Servideo in 3D that I haven't really had time to look at. And yeah, so recently we have found a Hamiltonian description for relativistic extent MHD that hopefully will allow us to find the corresponding chasm here so that we can do the same spill for relativistic case. And yeah, so that we can calculate the turbulent relativistic cascades. So thank you for your attention, I'm done. Yes, sure. Which one, like this one is fine or the 3D one? The one before? Well, there is one here but it's essentially all the same for the 3D and this is a Gibbs distribution also. Yes. Yeah, yeah. Yeah, I suppose you're referring to your paper in 2002 with Mahajan? Yeah. Yeah, so I haven't really, I know about this objection but I haven't really found a solution to this. So really numerical simulations I think will show whether this will be equilibrium or not. Okay, so you can determine, there's a sort of formal way of determining them by taking integrals of these expressions, integrating them and then finding the total F and total G and total H and then you have to invert and after you invert you'll find the, but the problem is that the expressions are often, in fact, for this case will be transcendental and especially for the 3D case. So what I do instead is I can find them numerically so I cannot do this analytically and also in addition to these, you can use sort of normalizability conditions. So you have to make sure that this probability distribution function is, maybe that answers your question, I'm not sure. It needs to be positive definite. I mean like this quadratic form needs to be positive definite and that puts constraints on alpha, beta and gamma. If it's not positive definite, then you won't be, the probability distribution won't be integrable and square integrable. So we find those constraints and that reduces the possible. Otherwise if you look at previous equations, I'm not taking too much time. Yeah, so this is pretty horrible. However, it behaves mostly like this and the way we saw this is we basically constrained the possible values of alpha, beta and gamma by the normalizability conditions. I mean it's, it may be sensitive, but this typical behavior will not change. So it's gonna be inverse relationship here and it's gonna be direct relationship here. At least I haven't seen it change and according to, so analytically we considered sort of more two cases by being more precise to extreme cases and the plots basically match them. So I'm kind of confident that that's how things will go. Yeah, all right.


Detection of mosquito populations using low-power IoT and this was part of our university work. It was done by myself and my teammate Umar, he's sitting there, say hi. And our professor who's from University of Waterloo, so the three of us did this project. So yeah, so what's the claim? So the claim that we make is we use embedded machine learning and we use IoT and we are able to detect mosquitoes with 80 to 90% accuracy and the system we've designed will consume on an average 5 millijoules of energy. So that is like two months on a AA battery cell and the idea is to use FFT, KNN and a base classification stack to classify what is the species of mosquito based on their wing beat frequency. So the parameter we use here is wing beat and it's a very widely used parameter for other projects that are based on for classifying mosquitoes. I'll tell you about them later. So what's the problem? The problem is vector-borne diseases that is, you know, diseases caused by flying agents, especially mosquitoes, they account for 17% of all infectious diseases and they cause more than 1 million deaths and if you guys can Google just Google world's most dangerous insect, you will get the mosquito. Yeah, just if you can just Google it, do it. So it kills roughly 725,000 people every year. That's more than the death toll that's created by terrorism. So you can imagine how dangerous the mosquito is. Okay.  HealthMap is another open source project where you can see disease incidents all over the world. So the map here is for a period of three months and it's highlighting dengue and zika incidents worldwide. So you can see a major portion of the globe is kind of covered with the red dots. Yeah, so it's a big problem. So vector-borne diseases are a big problem and this map shows it. So had I included more diseases like chicken gunia and, you know, zika, sorry, zika is there. Malaria, I think a lot more dots would have come up. Okay. So what are the existing, I'll just talk a little bit about these. So the existing control measures, we have fumigation, we have mosquito gels, which we all buy from Guardian Pharmacy. We have traps and we also have breeding prevention traps. So I think all of us know about fumigation and the sprays. I'll talk a little bit about the traps. I'm sure everyone would have seen this. Someone who has not seen this poster in their home or in their HDB, raise your hands. Okay. Wow. Okay. During the recent zika outbreak, NEA had put these tiny, gravy traps. You can see them here and they were placed in the staircase in the elevator and they put up these posters in front of our home saying that don't touch it. It's to attract mosquitoes and it's going to trap them.  They said they can't reveal it. But I'll show you another trap by which you can guess how this works. So this was a trap made by a Canadian guy. It's called the olivant trap. So what they do is they have this tire and they put water and a small tissue in there. So the water is going to attract mosquitoes. The mosquito will come and lay their eggs and it will also put a lot of pheromones into the water saying that this is a great breeding ground. All you other mosquitoes come here.  The water still has the pheromone. So it's going to keep calling other mosquitoes come here, lay your eggs.  I'm assuming the traps put by any user similar mechanism, but yeah, we don't know for sure. But these posters are still there. Look out for them once you go to your respective homes. Okay. So in all these traps, what's missing? So the main thing that's missing is most of the methods wait for the disease to manifest. Like even if you issue traps, you wait for cases to come. Like even in Singapore, they waited for I think I don't know four or five people to get infected with Zika and then they put out the traps. Traps require a lot of manual installation, monitoring. You need to collect the traps, see what mosquitoes were trapped there, see what other insects were trapped. And apart from this, you also need some amount of geographic data like which are the areas where you have more mosquitoes, where you need to install more traps. So these are the challenges that are not very clearly addressed by the existing solutions. Okay. These are some of the electronic, you know, things that use machine learning, but they don't quite get there, some solutions which I'll be showing you. So one of them is developed by a scientist called Batista. He's an Italian scientist and he developed an algorithm which is basically the three steps which I showed you. We're using the same algorithm, but in a different way. So he uses a sound, the wing beat frequency of the mosquito, does an FFT on that to extract the fundamental frequency. With the fundamental frequency, he runs a base classifier and predicts what is the species. So the machine learning model is trained with, I think, 1000 mosquito sounds of each species that he used. It's difficult to obtain mosquito sounds, so it's just 1000. Yeah, but the problem with this is he used an Arduino and he used a bunch of shields and a lot of stuff and he's giving the audio sound from an MP3 player. So this consumes a lot of power. So yeah, it's a pretty expensive setup, consumes a lot of power. It's not modular. You can't install it with the help of a battery. That's the main disadvantage we found here. And moreover, Arduino is slow. So it takes a lot of time. It takes to the tune of milliseconds or even more to process one output. And what if you have three or four mosquitoes flying into your trap? So then this has a tiny drawback over there. The other solution is by Microsoft. Microsoft is doing this project called Premonition. So it's a big, huge, large scale project that's being run off the Richmond office and their target base is the island of Granada. It's a tiny island with a lot of rainforests and I'm sure there are a lot of mosquitoes as well. So they're running this project there. What they do is they take drones, nothing fancy, just the DJI phantoms. They attach a trap to that and leave the trap in the forest. The trap is going to capture a lot of mosquitoes as they fly by using the same wing beat. Okay, so they use the wing beat frequency to trap the mosquito and then they bring the trap back. They're going to take the, you know, DNA out of the mosquito, analyze it for what all diseases it could carry. And based on that, make some predictions. So it involves genomic sequencing, which is like a huge process. So the disadvantage of this is it requires a lot of cloud processing. You need expensive traps. You have expensive drones. It's a big project. It aims for a greater good, but it's expensive. It's not something. No, no, no. The purpose of this is to get the data and predict, you know, what are the possible diseases that mosquitoes in a particular area would carry. So that's what they want to do. They want to send out traps everywhere, grab the mosquitoes, bring them back in. Yeah, yeah. Yeah, that's like that. No, they want to get the traps everywhere. They want to see whether this method is actually viable to predict. Yeah, you wouldn't keep sequencing the DNA. Yeah, yeah, yeah, exactly. Yeah, you wouldn't keep sequencing the DNA, but you still need to keep going and placing the traps everywhere. You need this. Yeah. That's why so it's a big project that's going on and they're doing it on a tiny island. They still haven't gone beyond that and it's expensive. It's like really expensive. So another project. This is really interesting. I can give you guys a link to a TED talk. So there's this project called photonic fence. They identify the mosquitoes based on wing beat frequency and just shoot them down with lasers. So it's really nice. You can see the photo of the mosquito getting burnt. But the problem with this is the machine looks something like this. So huge. They used, you know, high resolution cameras, you know, multiple laser arrays, it's liquid cooled all the way. And yeah, you can imagine how much power this takes. So it's a nice fancy thing to show off in a TED talk, but you really can't keep, you know, and yeah, the best part is the guy who made it says that he wants to use it for farms. He wants to install this as a fence around large farms. And if any pest comes into the farm, shoot it down. That's the idea of the project. But there's no practical application yet. You can still check out their website there. They have it. You can contact them for a quote or something. But which one? I have no idea. You can check it out. I'll give you the link of the laser. I think the laser won't take more power than other apparatus. Okay. So the improvement we did here was we first developed an embedded system. We put the whole algorithm into a much smaller place. We implemented the classifier on more capable hardware. Like we didn't go far, we know. We use things like Raspberry Pi's and Intel Edison's to get our algorithm run faster. And the third most important part is we created a grid of these. Like the grid is a mesh. It uses a mesh network. So it's arranged as a mesh over a geographical area. And we use it to target detection events. So the second detection event comes, the mesh is going to push the data through a packet switching mechanism and tell you, you know, which particular device has caught which mosquito. So the broad aim of this is let's say in an area like Singapore, we install multiple nodes, and each node is, you know, running the detection. The second or particular area finds a mosquito that's possibly dangerous. You can intimate any that you know we caught. We caught an AD's mosquito or we caught a bun. You shouldn't, you know, really ping for one AD's mosquito. But let's say, let's say over, I don't know, Marina where you find like 100,000 AD's mosquitoes. Yeah, that's like a big event. You should, you should inform any that something like that is happening. So that's the big idea of the project. We want to create small nodes, nodes that are more powerful in terms of hardware, and they all talk to each other using a mesh. Why mesh? Let's say there's no Wi-Fi connectivity or there's no GSM connectivity. Just, and let's say you want to install this in a country that does not have great networking capabilities like Singapore. So that's the reason why we use the mesh. The solution is very closely based on, sorry, the solution is very closely based on Batista's algorithm. We didn't modify the algorithm but we've done a lot of improvements of our own which I'll tell you soon. So the outline is we just capture the wing beat frequency using the sensors also built by Batista so there's no innovation there. We capture the wing beat frequency, we classify the data using the algorithm and we predict the species of mosquito and once the species is predicted we just send it over the network through the mesh. So the algorithm is simple. We have audio samples which run through an FFT and we extract the fundamental frequency, compute the distances and run the base classifier which tells us which class the mosquito belongs to. So currently we've trained only three species as shown in this graph. So I think we have 80s, Tarsalis and which we'll use later on. I think Qlex, Stigma. Okay, yeah, correct. 80s, Tarsalis and Stigma. Those are the three we've trained for. The data is open source available. I can give you a link to that. Yeah, one second. The distances for each class. Umar, can you explain this? Yeah, I didn't do the algorithm. Okay, sure. Okay, yeah the algorithm was done by my teammate. You can ask her the questions on that. Okay, so this is the software processing steps, not much. We have an FFT with a maximum frequency extraction. We have a KNN and we have a base classifier. It's just pseudo code. The real code is can be made available later. So the first two devices we studied was we wanted to see what's lacking in the Arduino, why the Arduino is back. So we used an Arduino and use this guy called Photon. So the key takeaway from this is the FFT is too heavy to run on both. The FFT we're using has 8k samples and 16k samples and it's really heavy. If you put the FFT inside we can't do the basic classification and the other parts of the algorithm. So we did some experiments on this device but they don't solve the eventual purpose. These are the two devices which we used to actually deploy them. They are as verified 3 and the Intel Edison. The reason why we chose the 3 and the Edison are because of the inbuilt Wi-Fi antenna. So you can directly configure them to behave as a mesh and they are very really capable. So we know about their power. A little bit about the specs. I think everyone knows about these. I'll just skip. Yeah, this is a key part of our paper because we talked a lot about sailing energy compared to what Batista had. So these are four currents which we measured in the Raspberry Pi, the Intel Edison and the Photon. So over here i1 is sleep current. So sleep current is when you know nothing is activated. When the board is just on. So the i2 is sleep current, the steady state and no radio. That is the Wi-Fi switched off and it's just on. And then i3 is steady state with radio and i4 is active current. Active current is you know when the device is actually classifying and also the radio is on. So if you see the active currents are really high for the Raspberry Pi 3 and the Intel Edison. But the particle photon is really less and we all know that the particle photon also has an inbuilt Wi-Fi. So we have two mesh setups which I'll show you later. One is where the Raspberry Pi 3 acts as a mesh and the other is where we have particle photon that creates the mesh. But each particle photon will talk to an Intel Edison. I'll show you the setup later. The reason why we chose this is because the active current of particle photon is almost less than half of the active current of the Intel Edison. Okay, so our novelty, what we did to this algorithm. So if you remember in Hackware 1.8 I talked about a little bit about the first part because that's what was going on then. Then after that we did the second and third. So I'll just tell you a little bit about the first part. So both the Intel Edison and the Raspberry Pi have some hardware features that can be made use of to, you know, accelerate. So in Raspberry Pi we use the GPU. It's a very less, it's a lesser-known feature of the Raspberry Pi. All the Raspberry Pies have a GPU but the problem of the GPU is you need to code it in assembly. So that's one reason why it's not so popular but we got lucky because someone had made an open-source FFT library. We just tweaked it to our benefit. So yeah that's how we got it running on the Raspberry Pi. But you can check it out. There are more, there's an LLVM flow that's there for the Raspberry Pi GPU. It's still rudimentary but you can try it out. It's great. And in the, for multi-threading we used OpenMP. Since both the processors have more than one code, we used multi-threading with OpenMP which is very simple. This is also something I explained in Acquire 1.8. How you can use a simple pragma and get your code to run in multiple threads. And we also used inbuilt accelerators like the Neon in the Raspberry Pi which has the ARM Cortex A53 and SSC on the Intel which has the X86 Atom architecture. So we used both the accelerators to give you vectorization. So if you have a for loop, it, for loop without any dependencies, it's going to be vectorized by these two accelerators on the respective boards. This is the first optimization we did. The second thing we did was reduction and precision. So let's say you're using 32 bits of, your FFT is done on a 32 bit integer. You might not always need 32 bits. But if you use a 32 bit integer, it's going to take up your processor bandwidth. So we reduced all our integers to 16 bit while maintaining the data because we saw that, you know, a lot of them are zeros. So we just truncated all our input to 16 bit fixed point in order to make our implementation faster. So we avoided floating point, we converted everything to fixed point, we bought it to 16 bits and we saw that it's running much faster in both Raspberry Pi and the Intel edition. But the Intel edition is great in fixed point. So this is something which we noticed through experiments. Intel edition is great with fixed points and Raspberry Pi is great with floating point. But the 16 bit fixed point any day does better than the 32 bit because you have lesser bits to calculate. And the final last bit of performance, this was achieved by means of compiler optimizations. So we used MS, some flags we've used. You can refer to our full paper. So I can give you the link of the full paper where we've told a little more about the optimizations. And yeah, so with these three we achieve a great, you know, benefit in terms of processing time. So the second you achieve a boost in processing time, you have lesser energy. Energy consumed per process. Okay. So this way we save energy compared to what Batista has done. Because we keep our board in sleep for 90% of the time. So that's what we do with sleep. The second and even comes wake up process, send the data sleep. So that's the key idea here. Other than having a low power processor that takes longer time to do your processing, we have a high power processor that takes short time to do your processing and then goes to sleep. So to just give you an idea that the Intel Edison has three modes. It has a sleep mode. Sorry, it has an active mode, a sleep mode and a deep sleep mode. If you put it into deep sleep mode, it takes roughly, I think 0.02 amperes of current. So it's pretty less. So that's the idea. Put it in deep sleep mode for 90% of the time and wake it up whenever, you know, you have a detection event. So that's how we claim to get our reduction in energy. And yeah, the methodology is we train the system using the data on this site. I can, I'll put the slide up on the hacker page. You can check it out. It's really interesting. And they have some MATLAB code that's given. So you can check out the MATLAB code also. Parts of our algorithm are taken from the MATLAB code given on this site as well. And the key point is for energy efficiency. So as I said, we keep the system in sleep at most of the time. The system wakes up when a mosquito flies by triggering a detection event and it performs the classification and we transmit this data. So how does the system wake up? So we have the trap that is built by Batista. You can check that out here as well. So the second mosquito flies by a trap, I will use a hardware interrupt to wake up the processor, be it Raspberry Pi or IntelliVision. There's a trap that's built by Batista. It's there on this website. We didn't build the trap. So the trap can give you a high signal whenever a mosquito flies by. You can use that as a hardware interrupt to wake up your processor. So a little bit about the experiments I can just go quickly. So these are things we did for the paper. It's not really very interesting. Are you guys interested in seeing or should I skip it? Okay, I think I'll just skip it. So yeah, this is one bottle like I'll show you. The original algorithm run without any optimizations and both Raspberry Pi 3 and IntelliVision show that the FFT takes most amount of time. So that's what we've optimized the most using the methods shown here. So the FFT is what we targeted because the others are really insignificant. And yeah, so this is the reduction in time we got based on optimizations. So we unoptimized this all the way up to like 13, sorry, 11 milliseconds. And once we optimized in both devices, it falls down in the Raspberry Pi 3. It falls down almost 4 and the IntelliVision falls down almost 6. But since the IntelliVision consumes lesser power, even in the active state, the overall energy consumed by IntelliVision is lesser for classification. So this is the accuracy, I don't think I'll go much into these. Yeah, so this is how we deployed the system. This is the case of where I told the photon maintains the mesh and the IntelliVision is going to take the sensor. So we have multiple sensors attached to the Edison which connects to the photon which has your mesh and in the Raspberry Pi 3 you just use the mesh as it is. So this is a little bit about throughput. Basically we have a lot of packet loss once we increase the distance. So there's only so much distance we can cover. So these are graphs regarding that. So there's a lot of future work. I'll put up the slide, you can lead it since I'm running out of time. Questions?


What's going on everybody dato doi here with another great news update for dragon ball fighters I know I've done a lot of these this week But it's been a pretty action-packed week for dragon ball fighters and this time it's discussing the one thing I've been hearing a lot of complaints about with the game that of course being the server issues Unfortunately, I don't have any footage of what these server issues look like But you know what these are if you've ever been kicked from the lobby randomly or if when you've tried to join a ring Match it says ring match lobby not found both of which have been addressed in their newest video titled Dragon Ball fighters roadmap for patches now this video is very great to see for two reasons one It gives you a detailed plan of when they're going to fix these server issues and how they plan on tackling them And the second reason this video is so great is because it shows that they view dragon ball fighters as something They want to add on to and that means that we're going to get a lot more content in the future So as far as what they discussed in the video itself They specifically address both getting kicked from the lobby randomly and the fact that you can't join ring matches And they say that to address these they plan on releasing a patch in late February which hold on a minute Could that mean that Broly and Bardock are going to release in late February at the earliest because it says right here They're going to be released along with a huge patch Of course That's just speculation as they later go on to say that this patch probably won't fix everything So they're also planning another patch to happen in March mid to late March specifically So Broly and Bardock could also be released then but come on really I just want it to be February So yeah, that's pretty much all that this video had for us It pretty much just wanted to address that there's going to be two patches laid out for the game one in late February And one in late March and one of those is going to be where Broly and Bardock come out But I don't know which one as far as any other Dragon Ball news There is a leak for season two of the game, but I think it's way too early on to even be considering if that stuff Is real right now, but if it is real those character choices were pretty lit I'm not going to discuss those characters here But you can go ahead and look it up if you want to as of right now It's just a text post on the internet that anybody could have written up the question for today Is I wanted to ask you guys how much the server issues have been bothering you as for me They haven't really happened to me as much But that might be because when I play ring matches I'm usually playing with my friends that are pretty close to me locally And I don't really get kicked from the lobby all too much either But let me know your experiences as I'm pretty sure I've just been extremely lucky I'll be down in the comments as always and again Thanks for watching if you enjoy this video and channel make sure you leave a like and subscribe I'm Dr. Julia, and I'll see you in the next one


Once more, my heart will go on, and oddly enough, so does season 6. Ooh, that's a hot mug, guys! Hey guys, this is my review for episode 17 of Supernatural Season 6. My heart will go on, and I will be honest, I am actually also very surprised by this episode. For an alternate reality episode that starts off pretty quick, I will say that they do a very good job of integrating in a completely sort of different reality to the one that we're used to, but it comes off quite seamless. I will give the writing credit while you start off with the episode thinking that it is the current day reality that we're used to. It's very quick on that once we find out that Ellen's alive and that things are different, when we go back to Sam and Dean, they're acting exactly the same, they're acting as though it's normal. That's when I feel that the episode really does a good job of integrating in this alternate reality in which Balthazar saved the Titanic. Oh, yeah, the Titanic, yes. Well, it was meant to sink, and I saved it. And at first you thought he did it because he hated the song. Because that god-awful Celine Dion song made me want to smite myself. Who's Celine Dion? But as we go through the episode and we start to see that people who are now alive because of events changed being killed off by fate, there is actually ulterior motives going on that being Castiel in his battle with heaven. I actually thought this episode had a lot of really funny humor in it. It has some heartwarming elements. I really like seeing Ellen back and seeing her with Bobby was a really cool idea. It was unfortunate that we couldn't get Joe back, but I think with what they are trying to get you to grasp onto, I think just having Ellen there was enough, and it's done quite seamlessly. Seeing fate take these guys out in ways that are straight out of final destination. The first guy that they get killed or the dude who gets killed by the garage door, that is straight out of final destination. Should he admittedly have died so clumsily to the golf balls?  But other than that, I think this episode has a really flawless alternate reality, and that's something that maybe might be a bit of a bad note for this show, or at least this season. The best episodes have been the alternate reality episodes, aside from a few here and there, is a little bit detracting, and that's something that I feel takes away points from this season overall, is that not really story-related episodes, but alternate reality episodes are the ones that draw viewers back in, and when you have to rely off of them so much, that does detract. But either way, this episode still plays out pretty well, and I like how it ends with that mystery of Castiel kind of wondering what his actual motivations are. What is this conversation about the souls? Season 6 definitely has to jump back and forth between its three different plot points that are going on because they can never really find one to settle with. We still have the mother going on, which I know that's going to be solved very soon. And to see these other storylines take a backseat for Castiel's story here leads to some really cool humor, leads to some cool kills, and it leads to a mystery with one of our most trusted characters that really pulls you in. So in the end, I'm going to give this episode a 5 out of 7. I actually really liked it. I think it was funny. I thought it was heartwarming. I liked how very seamless the alternate reality was, even though it comes out quite a snap to you, it does it really well in integrating it. I think one of the biggest points to definitely give is the writing in this episode. But those are my thoughts about this episode. Let's see what you guys had to say. My heart will go on as a decent filler episode. I always laugh when they ask Balthazar why did he unsync the Titanic, and he says, because I love the film, I agree. The Sisters of Fates are quite cool and reminded me of the Final Destination films of the accidents in which they die. Yes, definitely. Nice bit of foreshadowing towards the final, giving us a hint about Castiel's war machine. Also cool to see Ellen again. My heart will go on as one of my favorite Final Destination homages. Fun fact about the episode, the air date was the 99th anniversary of when the Titanic sank. Coincidence? I think not. Another fun fact, this is the only season where Sam and Dean travel internationally out of the United States more than one episode. The first was in Scotland, the next arguably Canada in the alternate universe, and then this episode is in Russia. What? Oh, oh, I guess, yeah. I find it bizarre when the world's timeline is altered that Bobby and Ellen marry and have Joe as a kid. I would have loved and laughed if somehow Sam and Dean point out that John was a hunter before Mary and Mary became a hunter after Ezraeo killed John instead. The anaconic line would have been changed into Mom's on a hunting trip and she hasn't been home in a few days. Yeah, though, there could have been that. It's fascinating upon re-watching this episode that the goddess of fate are irrelevant since Team Free Will plugged the... pulled the plug on the Judeo-Christian apocalypse and refers to God, one's having a script, giving them a job, and now the world is being retconned with new leaders and rules of the universe. Then we see the parallel in the show, Supernatural, get retconned with new roles in the universe with the new showrunners in season 6-15, coincidence, I think not. My heart will go on. This episode definitely reminds me of a final destination films because of the strange death, especially the one where the lawyer gets hit by a bus. I was totally shocked to see Ellen back and that she was married to Bobby. It sucks, we didn't see Joe. I really enjoyed seeing Bobby and Ellen as a couple once again. Balthazar is just pure community gold in this episode, especially when he answers the same and Dean on the question of why he stopped the Titanic from sinking. I really liked fate in the conversation between her and Castiel. I'm surprised that she never appears again in the show after this episode. And yeah, it actually is kind of interesting that fate never came back considering her power, but I have a feeling that might have been the reason why is because, well, you know, you really couldn't have brought it up again, otherwise they would have been able to use her as a crux for so many different things. I don't know how the rest of you feel about how my heart will go on, but for me, this episode I used to hate, but upon rewatching it, I appreciate it so much more. I love this episode. I guess my problem with the first time I was watching was my leftover hatred for Helen, and I gotta say I was wrong. I really liked her in this episode. This is how I wanted Ellen to be less condescending and more motherly towards the boys. She provided them with some of the best emotional moments in this season and the last scene of Bobby being alone, man, the tears. Plus, the villain of this episode is from my Greek mythos. A tropus? Sorry if I totally butchered that. One of the three fates of Hades. I got to say, out of all the modern day updates to the character, I really like this simple librarian look.  My heart will go on. This is the one of the only two episodes in this series as far as I'm aware where Sam loses the rock, paper, scissors to Dean. Also in season 11, season 13, Dean's only legitimate win in our own timeline took 11 seasons for it to happen. This is the last time we will see Ellen in this show, although her spirit will send Dean a message to a sidekick in season 7. Kind of sad, but she gets a good send off here even though it's offscreen. Oh wow, I didn't actually really realize that in terms of all the characters that would always come back and whatnot. I'm actually kind of surprised that Ellen never comes back. The conversation between fate and cast at the end as well as Balthazar's actions remind us that the supernatural world is now more unstable and insecure without the Archangel's plan keeping us everyone on a short leash. I'm surprised fate never reappeared in the series or that her sisters were never introduced especially given the reaching the writers did for the storylines in season 13 to 15. Always though, there was a good potential story to be told here especially with fate needing a job now would have been interesting to see her dealing with Crowley or Raphael in some fashion. I thought this was a decent, not one of my favorite but good and I'm not sure how you rate it. See you soon. I did enjoy it. I think it's a decent episode for sure. My heart will go on is not only one of my favorite season six episodes, it is one of my favorite supernatural episodes. I love a good impending doom scene so this episode had me from the pre-credit opener. I enjoyed the off kilter, what the effness of the changes of the timeline and who is the she the boys are referring to in the car which is no longer baby but a mustang. I love the surprise when she turns out to be Helen and she's married to Bobby and Joe's alive too. I always love the one way or another tempting fate sequence. The gauntlet our boys go through never fails to amuse me, angry dogs, chainsaw jugglers, the nail gun, oh yes. So much fun to watch. The idea that he'd help save the Titanic from being sunk because he didn't like the song is hilarious. It wouldn't be supernatural about the loss and this one hurts. Helen and Bobby made a little bit more bitter since Jim Beethers and Samantha Ferris worked so well together in that order to make things right Helen and Joe can exist gets me every time. I agree the ending of this episode is a very emotional heartbreaker. Okay guys now we have Frontierland. I actually will be able to tell you exactly where this set is if I'm correct but give me your guys thoughts about that episode in the comments below and I'll read those off in the next review. Again guys if you like the video leave a like and if you're interested in more subscribe otherwise see you guys next week.