 Hi everyone. My name is Professor Steven Nesheva and today I'll be giving you a video about this week's lecture material which is on PIVNERT. But first, I'd like to give a little plug for my upcoming talk. I recently came back from Chile where I was collecting ice samples to investigate climate change. How cool was that? And I'll be giving a talk about my work Thursday, November 12, 2015 in Kilworth Chapel at 730. Hope to see you there. So now for this week's lecture material, we're going to be working with PIVNERT, which is a really powerful equation. And let it be noted that we do not use P equals KBT, like the physicists do, because we do not like to use the abbreviation PIVNERT. So instead, we use PIVNERT. And I'll walk you through these variables. P stands for the number of pythons in your system. Here's a python. V is the vacuum. And this side equation is equivalent to the Nesheva constant, named after myself, which is equivalent to 105, otherwise known as the number of subscribers on my YouTube videos. R is the rushing condition, which is anything but 21. And then T is the number of titrations that takes you to finish the 230 lab. Very sad and high number. So now I'm going to show you how PIVNERT works in state spaces. So to do this, we draw a state space. And a state space is a three-dimensional plot. Yeah, that is not a queue. I'll try that again. This will be it, right? That also does not seem like a queue quite yet. Why can't I do this? We got a queue. So fresh-breeded. Why are you being so dare? I'm filming a lecture video right now. And I'm trying to draw these state spaces. And I just can't get it to be a queue. So you're trying to draw a state space? Yes. Do you need some help with this? I would love that, Dan, regardless. I'm going to give it to my basketball game, but I will help you out. You're so good at drawing optical paths. I'm sure you can draw these lines. Thank you, Dan. You're welcome. You're such a great colleague. It's a pleasure to work with you anytime. Wow, what a great head of our department. So in the state space, we relate V, the amount of vacuum, to the amount of titrations in your lab, T. And then we get some function U, which I've not stated before, but U is equal to the number of that I say in this video. So as the vacuum increases, we see an increase in the number of ums. Similarly, as you do more titrations in the lab, you feel the need to say more ums. So the ums also increase. So then you get a state space like this that you can shake all nicely. That's how you relate to state spaces. So put my talk on Thursday and that's all.