So let me get this shared here. All right, so as mentioned, I'm gonna be talking about a Shiny app that I developed in collaboration with the Infectious Disease Dynamics Group at Hopkins. And this was intended to help evaluate the impact of COVID-19 test trace isolate programs. So if you'd like to access these slides, I'll post them after this talk at lucymagallan.com slash talk, see if you can find them there. They should be there in just a couple of minutes after I finish giving this talk. So I wanted to just start by acknowledging my collaborators on this project. Emily Gurley, Justin Lesler, Elizabeth Lee and Kira Grantz did a lot to sort of build both the methods that I'm gonna be talking about today and also influence how this particular application was developed at the time we're all at Hopkins, although a couple of them have since gone elsewhere. And so this is sort of the outline of what I'm gonna talk about today. I'll start by describing the model that we used. And so this group came up with a novel way to model this particular, this phenomenon, this test trace isolate, kind of how people move through these compartments and how you can use information that you might have about a certain community to try to estimate the effective reproductive number. I'll talk about what that means in a second using these epidemiological tools. And then I'll very briefly talk about an R package that we developed that implements this model. And then I'll spend the bulk of the time focusing on the Shiny application and sort of a couple of small details on some different tools that we used within Shiny to make this application work. And then I don't think I'm actually gonna have time to demo it myself, but I'll show you the link. And if you'd like to sort of demo the application, you can do that as well. And I also have a link to the GitHub repository. So if you're interested in creating an application like this, all of the code is open and you can do so. So the goal of this work, basically these test trace isolate programs, these are an essential part of infectious disease control in general. And they essentially offer this targeted approach, a more targeted approach than many non-pharmaceutical interventions. But an effective use of these programs basically require the folks who are implementing them to be able to estimate their impact. And so that's what the tools that we developed were intended for. So these were essentially intended for public health departments to be able to, or any institution who might be implementing some kind of contact tracing or test trace isolate program to be able to see how their program is impacting the community transmission, as well as be able to evaluate whether they kind of to optimize for certain changes they might wanna make to their program to figure out how that could kind of optimally impact transmission. So a little bit about the model behind the scenes. This actually, I'm realizing the picture I have here is to the Med Archive, but this has since been published in PLOS and so you can find in PLOS Medicine. It's the same title maximizing and evaluating the impact of test trace isolate programs. You can find the actual mathematical details there. So this is a little bit about the mathematical framework. I've sort of simplified it for this particular talk, but I thought it would be somewhat helpful, especially because most of the folks in the audience are quantitative and so you're likely interested a little bit in kind of the gears behind what this is actually implementing. So the reproductive number, I think a lot of us are familiar with this term now just based on how, based on all the news and things around COVID-19, but in case you're not, this is the average number of onward transmissions and infected individuals expected to make.  So in this case, the reproductive number would be two. And so for our model, we've basically designed these compartments that infected individuals could fall into. They could either be detected. So those would be infected individuals who were detected through testing and then subsequently isolated. Or they could be in quarantine at the time of infectiousness. So that would be like someone who was previously contact traced by an infected individual and then put into quarantine. And then while they were in quarantine, they themselves became infectious. So those would be infections among quarantined contacts of identified cases. And then finally, the final compartment is just infections in the community. So these would be undetected infections. So each of those basically, you could calculate the proportion of infections that fall into each of these compartments at time T. So for example, here I'm saying that 20% of infected individuals are detected through testing. 10% of them are already in quarantine at time of infectiousness and 70% of them go undetected. So just start out in the community. So again, this reproductive number, we can, this average number of onward transmissions that an individual is expected to make, you could have a reproductive number for each of these compartments. For example, people who are detected, maybe they will still transmit to two people. And so the implication here is that they're transmitting to folks prior to being detected. So before they test positive, they might infect two individuals on average. People in quarantine may only infect one individual on average. And so this would mean that they were discovered to be infectious once they were in quarantine. Maybe they had a little bit of infectious time prior to getting into quarantine, but less time than someone who was only detected via testing. And then finally, people in the community who are going totally undetected, their average reproductive number would be something like 2.5. So this would be like they on average are infecting two and a half people. So we have this image here in our paper that sort of helps to explain why those reproductive numbers would be different depending on when you're infected or when you're detected rather, which compartment you fall into. So for example, here at Generation T, an individual might be infected. These distributions here show their infectiousness. So the probability of infecting someone else. And so maybe their symptoms are onset here and they're tested at this point in time and then they're isolated in this point in time. So all this red portion of this distribution is time when they might be infecting people or they have some probability of infecting people. But this green time on the right side of when they were isolated would be reductions in transmission due to case isolation. And so that's why in that previous slide, the R that I showed for people in the detected compartment was two compared to those in the undetected compartment at 2.5 because basically you're reducing some of that transmission time here in the green. And then time T plus one, this next little graph on the bottom, this is showing for the quarantined individuals. So people in that queue or that middle compartment that I had shown. And so those would be infected contacts. And so they might get, because you found out that this person was sick at this time period and they gave their contact tracer all of the potential contacts to identify, they may have been put into isolation before they even got their positive test result back because they were actually quarantined at that point. And so the time that was reduced in transmission was even greater for them. And so that's why that R queue or the R value for those in the queue or quarantine compartment was just one because it was reduced by basically removing all this green part because they weren't able to infect anybody else since they were put into isolation at the right time. Okay, so the way that we get these reproductive numbers through this, that the mathematical model here is that we essentially put, we have these gammas which are like the reduction in infectious time that we multiply the R for the community which is basically the overall average of reproductive number for a given pathogen. So we take that RC that this gamma comes from basically integrating from time, from symptom onset to isolation. And this here, this is just the infectiousness distribution. And similarly, this is gonna be the time from symptom onset of a case to quarantine of the contacts. And then again, we're integrating it over the infectiousness distribution. So that's how we get those reduced reproductive numbers. Okay, so just briefly then, so we take these reproductive numbers and we put them in this infectious matrix, this infection matrix which basically each row corresponds to each of those compartments and those R values go on the diagonals. And then we multiply to figure out the new infections at time T we multiply the proportions in each compartment by this infectious matrix. So we have 20% in detect 10 in quarantine, 70% in the community at time. So then the new infections that resulted from time T would be those proportions multiplied by those R values. So I think hopefully intuitively, this kind of makes sense. You have 20% of folks are in this detect and they're each infecting two people on average. Then you end up sort of seeing how many infections resulted from that. And then those folks who are then infected end up getting detected or not. And so we end up with this matrix that on the rows we have who they were infected by. So someone who is detected someone in quarantine or someone in the community. And then in the columns, those are dictated by where they themselves end up. So dude, they get detected. Did they end up in quarantine? Did they end up back in the community? So this like for example, would be someone who was infected by someone who had been detected and then they themselves get detected. So all of these quadrants here just end up getting determined by probabilities that you can input as the kind of knowledgeable person about whatever pathogen you're interested in. So the way this works, basically this Omega here is the probability that a contact of a detected individual in the detect department is traced and quarantined. And so you could for example, say that that was maybe 50%. And then so Omega Q is gonna be the probability of a contact of a detected individual in the quarantine compartment is traced and quarantined. So for example, I could say maybe that was a 30% probability. And then these rows are gonna be the probability that a community infection is detected and isolated. So maybe we're detecting 20% of our folks out in the community. Okay, so we've got this detection matrix. And basically the way that you get to the proportion of infections at time T plus one is you just multiply all these pieces together. So the proportions at time T times the infection. So that tells us how many people are infected. And then to figure out what proportions end up in each of those different detection boxes, we end up multiplying by that detect matrix. And then we normalize it by dividing by the sum of this DQC matrix. Okay, so using all of those, for example, I started with 20%, 10%, 70% and after going from time T to time T plus one, I ended up with 18% detected, 12% in quarantine and 70% in the community. And then we're gonna multiply all of those by those effective reproductive numbers. And we end up with an overall average reproductive number of 2.23. Now the different values that we input for these matters. So for example, before I was saying that we were detecting 20% of cases and 80% were remaining in the community. Let's say we're doing better. Let's say we're detecting 50% of cases. So I'm gonna replace all of those with these 0.5s here. And so if I run that through the same calculation, now I end up with different proportions. And obviously I'm gonna have a much more in the detection of 44% of people are getting detected and 44 ending up in the community. And now my effective R is lower. So now it's 2.1 and we want lower, that's the goal. So basically what I'm trying to show is that we've come up with this way to be able to sort of see how these programs are able to detect or are able to how effective they are at reducing transmission. So the big picture here is that the application that we're building is gonna allow public health departments to tweak these different parameters in a way that they think is practical. So if they think that they could maybe ramp up testing such that they could detect 50% of the cases in their community, they could see how that would impact onward transmission based on the other assumptions. So we have this R package that can be found on GitHub and CRAN called TTI that will allow you to do these calculations. But we also have a Shiny application for this as well. So you can find this Shiny application at, you can find the code at github.com slash Hopkins IDD slash Contessa.  So essentially it starts by just explaining a little bit about what it is. And then we've got these different panels where you can input the assumptions that go into those calculations that I had talked about. So for example, you could input information about surveillance and isolation, like how much testing you're doing and how quickly you're getting people into isolation. And then once you've put in all of these, there's an interactive dashboard that lets you sort of see what those reductions in R would be. And we also have the ability to generate like a PDF report as well as save your inputs and so you can upload them later. So I'm just gonna quickly show how to do some of these things in Shiny in case that's of interest to anybody in the audience. Okay, so this is kind of the big picture. If you've run Shiny before, this is gonna feel a little bit of a beginner's kind of intro, but essentially here, the UI or the user interface for this particular application is done using Shiny dashboard. So we wrap the UI in this dashboard page function. So that's kind of what generates the user interface or what you see. And so this dashboard header function is what basically we put in certain inputs to update this header at the top. So we've got like our logo and the colors and things like that are all updated from that. The dashboard sidebar here dictates what this looks like on the left side. And then finally, the dashboard body is where the main, the code for kind of the main part of the application goes. And then in the servers where we put all of that behind the scenes, code, we run the TTI package, for example, to actually calculate these quantities after the user has input all of their information. And then finally, the Shiny app function is what actually runs the app. So the first argument is the UI and the second argument is the server. Okay, so this next part, and I'm going to do this a little bit quickly, but hopefully you'll be able to at least get a little glimpse of the types of things that you could do with an application like this and then be able to dig through our code on GitHub if it's of more use to you. But the other thing I thought was a little bit unique about this particular package is we had the ability to generate a report from the outputs. And this was because the stakeholders were often interested in a PDF or Word document that they could then hand off to their supervisors that could show, if we were able to ramp up testing by 30%, then we think we would be able to reduce transmission by 22% or something like that. So these reports were really important as opposed to having only this kind of interactive web interface they wanted to also have a static version. So to do that, we used RMD files, our markdown files, where basically in the YAML or the part at the top of your file, you can add these parameters. And so for example, you could have a parameter called A and B. And the way that we did it, I'm sure there are other ways that the way that we did it is we just initialized these parameters by having them be missing values. And then you can do things with these parameters and the reports themselves. And this is nice, this method is nice because you can actually pass shiny input variables to these parameters when you're allowing that file download to happen. I'm gonna just show you quickly how you can do that. So this is a download handler, which basically gets output into this, and this code would all go in the server side of your shiny coding. And so the part that I think is of interest here is in the content, which allows you to update the file. And so the first part is, I create this temporary file called report.rmd. And then you have to actually copy this file. It's kind of like a weird process. So then you copy this file, overwrite is true because sometimes people will do this more than one time. And then this is the part where I think this method kind of shines in particular with shiny is that you can pass parameters to this particular file. And so the way you do that is just by creating a list of those parameters. And the names of the lists need to match the names of the parameters that you've put in the YAML or the top of your rmd file. And then down here, you can just do a normal rmarkdown render function where you specify that temporary file. You have the output file be the one that the user is gonna download. And then you can pass the actual parameters into that via this params function. And then on the UI or user interface side, it's quite simple. And I had mine in the sidebar. So this code went in the dashboard sidebar portion of the dashboard page. And I just had this download button where they could click that button and it would generate a report. And notice that this report here keyword is the same one from the previous slide where I was this output report. Those were identical. And that's what let shiny know that this is what I would like to do when I click this button. The last part is just the saving and loading inputs. And this was because sometimes people wanted to be able to save their work later. So they went through and put in 20 or 30 little inputs. And then they wanted to be able to reload this page and maybe kind of load those same inputs. And so to do this, this was again with another download handler. And what we did here is we input this, we allowed them to input a file name here and we called this file, the name of their file dot yaml. So this was a yaml file. And then the inputs were gonna be all of the values from the shiny that were input into the shiny input via the shiny dashboard itself. So this input is like the name of the kind of object in shiny that saves everything that the user is putting in. So this reactive values to list will take all of those reactive values, stick them in a list and then we can make that list into a yaml file. And then we could output that so that when the user came back, they could load that yaml. I have like maybe two minutes, I'm not sure. In case I have, I'll just show you what this link, I'm not sure I'll actually have time to really demo this much, but essentially there's also a course Sarah class that's free if you're interested in this type of methodology that we created that uses this application. So it goes into more of the details about the math behind it as well as kind of how you could use this to evaluate your contact tracing program if you happened to have one. You can find the app here. So IDDDynamicsjhu.shinyapps.io slash Contessa v2. And so this v2 is we've updated a couple of things like allowing for vaccine information and a couple other population level estimates that people might want to update in an advanced section of the application. All right, so that's all I have. If you have any questions, I'm happy to answer them. You can find me on Twitter at Lucy Stats. Thank you so much, Lucy. Questions, I don't see any quite yet in the chat. So I just had a brief question in terms of have you tried to implement this now with the monkey pops at all and have you been utilizing it in that space as well? Yeah, that's a great question. So I was brought onto this particular project as a contractor, so I am not actually on the infectious disease dynamics team as like on a regular basis. So I'm not sure, it's very possible that this team at Hopkins is working, I'm sure that they're working on something monkey pops related. I'm not sure if they're doing this exact process, but I think you certainly could use the same methodology. It's agnostic to the pathogen. So I'm sure you could use the same tools to be able to see how effective contact tracing is. That's a harder problem because the incubation period is much longer. So it can be harder to trace people quickly, but yeah.


Hello and welcome to 50 Days of Keynote, 50 Things You Can Create For The Classroom, today brought to you by Alicia Bankhofer. The topic of day 13 is how to use Keynote to create podcasts. First of all, you may know what podcasts are. You can hear them anywhere, you can get them from many different places like Apple Podcasts, Spotify, even YouTube. What really is great about podcasts that you can listen to whatever content you want anywhere and anytime. And loads of teachers have been using podcasts in school because they wanna help students to develop their media competency and listening and speaking skills. And of course, if you do this as a project, it promotes collaboration, communication and creativity and opens up the classroom because the students move out and they go out and discover and they interact with other people. So why exactly use Keynote for podcasts? I know there are a lot of other podcasts, tools out there, but Keynote as you'll see is a really quick and easy way to record audio. You can import also audio that you've recorded from elsewhere. You can design your own artwork in the app. And then when you're finished, just explore as a movie and post it either in school, you can even do it on YouTube or of course you can keep it private. And you can add this to a student portfolio at the end of the year or semester. So I'm gonna show you how I do this with my class. First of all, in this case, I just presented them with a jingle track. So I did a piano and I did a drum and they had the task of recording an intro and an outro track on the microphone, exporting them as a song. Then what they should do is to design their artwork. So I just did this really easily in Keynote, just using shape syntax. Then they create the audio segments directly into Keynote. So they import the jingle, then they just, on each different slide, they just press record and they record their segment. Hello and welcome. Now I'm gonna show you how to create a podcast using Keynote. The first step is to create the artwork for the podcast which I've done. I've just used a simple shape and some text using Keynote. So this is the shape. As you can see, this is text and this is on another shape. I created that, an image out of the shape and I just put it over the podcast because I wanted to copy it later. I also recorded an intro in GarageBand. So let me just add that right now using the plus button. I'm gonna insert from my recents and then you can hear what I say here. Welcome to the very first episode of the Teachers in Coffee podcast. Your host is Alicia Ankofer and I'll be talking to different teachers about their jobs. So that's it. And then what I do is I just going to add the different questions into the different files. So I can do that by just tapping on plus and recording my audio right here. I can say, okay, today's guest is going to be Sylvia Plath who's gonna talk to us about how she manages to personalize her learning and use devices to support the learning. And as you can see, you can just add an audio just directly into the keynote. Then you can just add the questions. So I'm just gonna record a question. So Sylvia, tell us, how do you go about working in the classroom? Again, just add as you go along. Once you've finished adding all the questions and you can add the outro. I recorded this previously old string garage band. So it comes in here. Let's take a look. And there you have it, that's already it. So you get the picture. And then what I want to do is now just copy my picture onto each slide. So I have a harmonious background. And then the last step is just to export this as a movie. And when I do that, it's going to be a movie and it's going to have all of my audio tracks just like on that. It's going to look like a real podcast and it's going to feel like a real podcast. So let me just export it to movie. Then I can say, okay, please do that. He's going to create the movie. And then voila, there I have it. A very easy, a quick way to create podcasts using keynote. Bye. And it really is that easy. If you'd like to listen or see what it sounds like, here I just, I'll just play a little bit of it. Welcome to the very first episode of the Teachers in Coffee podcast. Your host is Alicia Ankofer. And I'll be talking to different teachers about their jobs. Okay, today's guest is going to be Sylvia Plath, who's going to talk to us about how she manages to personalize her learning and use devices to support the learning. So there you have it. I hope that you enjoyed this episode of 50 Days of Keynote. You can find all of the videos on this link on the padlet collected. And we also upload all keynote files to a central place for you. Bye, see you tomorrow.


My mom sent me to school with a chicken pox and told me that it was mosquito bites in the middle of winter. No. Yeah, it's because she didn't want to face that there was something wrong with us or that we were sick.  You know what's interesting? When I was younger and still to this day.


To draw on a white board in Zoom, go to the toolbar and click on the pencil icon here. When you click it, you can choose between a pen or highlighter. You can also select its thickness. Now you can start your drawing. It's as simple as that. Let's try it. Using an image as a background, I will draw some musical notes. I choose the pen tool and the thickest option. Now I will click on the screen and hold the click as I draw. I release the click to stop drawing. Easy, right? Let's see how to use a different color. Click on the circle icon here. Select the color you want and click on it. Now start drawing and the color you selected will appear. If there is something you want to delete, go to the toolbar and select the eraser tool here. Click on what you want to delete and that's it. To undo the last change, click on this icon here. If you change your mind, you can restore what you did by clicking on this icon here. Repeat this process whenever you want to erase or undo a drawing. Is there something else you want to learn about in Zoom? Let us know in the comment section below. Burn to Learn is working to help you understand the changes in technology as they happen. Stay in the know. Subscribe today.


Welcome everyone. My name is Ryan O'Doady. I'm the head of product development at CMC Markets. Okay, one of the other new features that's been enhanced quite significantly is if we go to the dashboard and we go down notifications. So if I click on notifications, there's a new notification center. So all the difference and their settings are now available in this section. Set up your notification details at the top so you can add in your email. You can also edit your email address. So if you prefer to go to a different email address than your registered one, you can change that here. You can now also send by SMS. So again, you can remove the number that you've currently got set up or edit the phone number here. Once you've edited the details, send yourself a test SMS just to make sure that the system is set up correctly and a notification will be sent to your phone. Underneath that, you've got all the different alert types. You've got execution alerts, price alerts, calendar alerts. If I go into execution alerts, I currently have it set up so that I always get an alert in platform. So if a stop loss or a take profit gets triggered, that will populate onto the top of the screen. And I currently have it sent by push notification as well. So if I have the app downloaded on my phone, it will push out an alert to tell you that event has happened. One thing to note also is that those alerts and haven't now got a lot more information. So they'll tell you that, let's say the US 30 have sold five units at a particular price. You can set it up by email as well. And again, the new option there by SMS. And just tap those to set up your preferred settings. You can do that for price alert, calendar alert. We have two new alert types as well, price movers and breaking news. Now, these are alerts sent by our team of global analysts. So if there's been a major event happening in the market, let's say the Bank of England or the Fed raise interest rates. We can send out an alert to clients via push email or SMS and we'll give you those details in real time. So you can set up breaking news. You can also set up price movers, which is some key price movement events. So if gold or another product has gone up quite significantly, we'll be able to send you out an SMS or whatever your setup is to inform you of those big movers. Trade confirmations. So if you want a confirmation email of every single trade that you execute, market orders, stop entries, et cetera, you can enable that trade confirmation here and you'll get an email for every single trade execution that occurs. And you can now also set up five additional email recipients. If you've set up personal email for your trade confirmations or your registered device, you can maybe set up your work email to also receive these or let's say a compliance officer if you need to. And you can add those at the bottom there from the trade confirmations. Got statement delivery details are also built into this station center.


Systematic reviews are a structured overview of existing medical, scientific research. Due to the increasing amount of research output, they can take a lot of time to complete. Artificial intelligence, AI, can be used to speed up the process, but there must be transparency and reliability in order to ensure accuracy. AS review is an AI tool that uses a researcher in the loop algorithm to propose articles with the highest probability of being relevant. Once these articles have been labeled relevant by the reviewer, the full text is scanned. This process saves a lot of time compared to traditional methods, as only 23% of the articles had to be assessed manually. This article was authored by Jobvander Palen, Kareem J. M. Doggen, San H. B. Vandeek, and others.


Hey guys, we're here at the 21 convention with Steve Maida. Awesome speech. You wrapped up the event, brought it home as usual.  So, tell us what you talked about, little synopsis of your speech. Well, yeah. I mean, I was talking about life and sexuality. I mean, that's the whole point of, you know, my home message with everything is that, you know, be social, be yourself, be sexual, and live the best lifestyle you could possibly live. It's important. I love how you, you know, you focus on the overall picture, not just like the routines and techniques. Man. Everyone wants the routines and techniques. Dude.  They're going to seep out and if it's good, it's going to make your entire life better. So this is your fifth time or sixth time speaking? Man, I can't keep track anymore, but I started speaking in 2008 and what's so awesome about that is it's a running record of how much I've changed and how this convention has changed me from health perspective, my mentality, even my focus on my true values, you know, as well as the growth in terms of, you know, the way I teach and teach seduction. Yeah. So guys should check out our old videos because we're fat and now we're thin. So. It's true. It's true. Totally. Totally. Thanks for coming. Hey, you got it, man. It's a pleasure being here. Yeah.


What's going on you guys? It's your boy Lloyd here with the Single Guy channel. So today we're going to be talking about a question that I got recently. Let me pick it up. And the question is the following. He writes, hey Lloyd, I've been texting this girl for a little bit. We matched on Tinder and it seems like she likes me, but she's taking a really long time to respond. Sometimes I'll text her and she'll take a whole day to get back to me. How can I get her to respond quicker? What am I doing wrong? Okay, cool. So this is, I paraphrased what he said obviously. But basically this guy is dealing with an issue that's a very, very common question that I get is that a guy is texting a girl. Typically they match on a dating app or something like that and the girl is taking a long time to get back to him. Or maybe he got her number in real life and she's just taken a while. So the first reaction that a lot of guys have to this is like, okay well she's not interested because she's taking a long time to get back to me. And that's very possible. In fact very frequently women will take a long time to respond to a guy if they're not really interested in him. They do the kind of slow fade out thing where they take longer and longer and then eventually you don't hear from them. I've been guilty of doing that too. Women do that all the time. But how do you know if that's what's happening or if she's just taking a long time to respond because maybe she's busy or maybe the messages you're sending aren't very good? So I've seen a lot of guys as messages and in those situations I think they can do a lot of improvements to their texting meaning that like they're sending messages that are just the way they're going about things is it's natural that she's going to take a long time to respond. So in these positions it's not necessarily that she's not interested. It's just that they could go about it a little bit better. So here's some tips that you can use to get a girl to respond quicker to your messages. Tip number one, break up the messages. So if you have a long thing to say to somebody I would break it up. Don't put it one big block. So in the left screen I have an example about this. Basically the guy was talking about his day and he was telling her all the stuff that happened and he put it in one big block.  I mean even if I see a message like that if it's a girl that I like I'm going to take a while to respond because I have to think of what to say.  So if you or a guy who's doing that instead of saying one big block say today went to the beach, swam in the ocean, water was super cold, you know can't wait to, couldn't wait to get back into my home. Whatever that's a bad example but it's an example of something that instead of putting in one big block you break it up. Now if you can say it a lot more concisely when you're doing that she kind of reads it the way she thinks so she thinks okay went to the beach today cool I like going to the beach too. Like it's easier for her to respond to each individual thing than one long big block of text. Okay tip number two make sure you keep it fun and playful. Sometimes if you especially are matching with a girl on Tinder or you first got her number a lot of guys want to get very deep and intellectual with this person. I would recommend that you wait to do stuff like that. Okay make it fun playful at the beginning just tease her flirt do those kinds of things make it positive. Those things are more likely to get a response especially if you delve into a lot of negativity that responses can start to get a little slower. Okay so if you make it fun positive flirty she's much more likely to respond but if you're talking about serious topics like you really want to delve deep into her you know her psyche or get to know her that's fine but I would recommend that you wait a little bit before you do that because she's going to take a lot longer to respond and think of an answer because now you're taking it much more seriously.  Okay tip number three is to mix it up if you've been sending a lot of messages you know send her a picture or something like that or you know tell her something hey check out what happened to me today or something like that if you don't have to make it that how are you doing every single day how are you doing this fine if you're seeing it once in a while but if you say it every single time that starts to get into a routine it starts to get boring and she's less likely to want to respond to you. Okay tip number four is to relax okay relax you guys just because a woman is taking a long time to respond it doesn't say anything about you as a person it doesn't mean she doesn't like you um yeah sure there's a chance for that but there's a chance she doesn't like you even if she doesn't respond on time okay so worrying about it is only going to make it worse now what I recommend that you do is have other things going on in your life that you're not really worrying about this so much okay if you have a life where a lot of it's staring at your phone waiting for a message you know something's probably up me in my life I'm always doing things and you know even if someone that I really like texts me it usually takes me a little bit of time to get back to them because I have all this work and stuff that I'm doing for this channel and this business so I have a lot of stuff going on okay so if you have a life where it's you know it's engaging with the stuff around you is occupying you I think that's a more fulfilling life than if you're just waiting around for your phone okay and the final tip that I have for you guys is basically have other options okay if a woman is not texting you back at the rate that you want her to text her back it might seem like a small thing but it also might be indicative of a larger thing if that's something that's important to you find somebody who's going to do that you know if you get if this is just a person who you know for whatever reason she's just very slow to get back to people she's not very communicative um that's a sign that may be a relationship with her or maybe even a hookup or something like that might be more trouble than it's worth okay I like to be with people that fit kind of my personality and mold and the ones that don't you know like we're probably not the best match for each other but if the person is part of my mold then yeah sure they're going to do things that fall in line with my values and so if you value getting back to somebody quickly and being you know communicating to them then find somebody who will do that for you okay just because she's taking a slow time to respond to you it's not always your fault okay so there's plenty of fish in the sea you guys that's how a high value guy I mean that's how a high value guy thinks um is he's not thinking about oh what did I do wrong but this girl's you know she's not responding to me super quickly he's going to be like well this girl's taken too long to respond I'm going to text the girl who will respond to me quicker okay um and so I'm not saying drop her just because of that you know if there are other qualities you have to take that into account too um but I'm saying if that's something that's really important to you you should find someone who is going to satisfy that for you okay cool so yeah and obviously there's the chance that she might not be that interested so you know if that's the case then that's the right move anyway okay so follow these tips you guys if you find yourself getting into conversations with women that are taking too long to respond try using these techniques um but like I said you guys make sure you keep your options open make sure you have stuff going on with your life and I think that's going to solve a lot of your problems all right thanks a lot you guys if you made it to the end consider subscribing I come out with videos like this every single week if you have any other ideas about ways to get girls to respond quicker or ways to get people to respond quicker in general put them in the comment section below would love to read them if you're interested in getting coached by me personally there's a form in the description box below click on the link and if we see if you seem like a good fit we'll get back to you thanks a lot you guys good luck out there


And now we get to talk to our man Teddy Kegstad as we do each and every Wednesday at 40 past the hour. Folks, head on over to the front page of TFNN under the newsletter tab. You'll see the Tiger Forex report by our man Teddy. You can check that out for only $97 a month. You got issues each week on Monday morning. Updates throughout the week when warranted as each newsletter we have folks 30 day money back guarantee. You got nothing to risk. And it is a great time man as we've got things rocking yet again as we talk to our man Teddy. Teddy Kegstad. Teddy Kegstad. Good morning. Lots of good moves and a little bit of divergence coming up today. What do you want to talk about first? I want to talk about it all man. Where do we kick things off? So maybe on the yield conversation we got some private payrolls of course this morning. Yields you've taught us so well. Such an important component of course with where currency drive seems like at least in the U.S. that the trend is we got some higher yields man. We got wage data that is accelerating. We have some Fed speak out there today. The conversation seems to be shifting yet again with maybe less cuts than the markets looking for. We got the tenure now above 4.4 percent. Maybe we kick it off there. Well, I have to say I guess I got it right. For months I've been going against the news and the media and everybody calling for multiple rate hikes. At one point they were looking for seven cuts rather and then it got dropped down to finally three which then got pushed out to the summer and now we're going towards and I've been saying I'm like you know before you get to gung-ho on all these rate cuts you know you got to follow the economic numbers and the reality is inflation never left and it's kicking its heels up in a big way and I think it's going to really come roaring back over the course of the next like six months for sure and if that's the case you know a quarter point let's say that they even do two cuts. We've had this conversation a point a cut one already a quarter point for sure is factored in the market already. Almost two quarter points which means almost a half a point. If that's the case we only really have, we've already set the ceiling which means that if you wanted to refinance you got your shot already. You're not going to get a better shot you know so get back to that reality and that means that higher yields lower pricing you know it's going to be a big deal it's going to probably shore up the dollar a little bit and that's you know without the you know it's being market driven that's without the Fed doing anything you know and the fact that they're becoming less likely to cut as much as was originally expected by the consensus that means globally that the central banks are all going to be looking at that. It's going to have an impact on a lot of currencies it means now like for instance the US dollar Japanese yen you know oil is making making new highs yields are now going higher once again what's the BOJ going to do even if they intervene how much of an impact is it going to have on the end not much unless they go on a really aggressive tear with raising rates and I if that happens the Empire is definitely crumbling you know over there so and I don't think that's going to be a topic of our conversation in the future. You know I chuckle a little bit man but you've had some great calls outstanding kudos man because this market as it plays out it is pretty remarkable how the market has gotten so far ahead of where it deserved to be and hide side of course is 2020 but it is pretty remarkable that as we continually shift forward three and six months the conversation just keeps changing and those cuts keep getting pushed back you had Rafael Bostic saying one cut at the end of the year right now and like you said I mean where do we go from there man and that waged out of this morning 10% for job changers were still above 5% for people staying in the same job and that's off of numbers over the last couple years you know you're doing 7% you're doing 8 now you're still doing 5 and those 5% numbers are based off of the numbers of last year which are up 12 or 13% over the prior two years from that and so it's it's pretty remarkable we got some hot job jobs dad a little bit today and we get that big number on Friday but yeah and I appreciate you jump into the yen that was going to be the next one we are now above I got it up right now in the think-or-so platform as I'm talking to you we're almost pushing highs that we saw a week ago when I was talking to you and you had the drop off from that high of 151 97 about we dropped all the way to 150 102 on my chart and we are right now back at 150 192 that entire drop off gets wiped out for people looking to the yen I know you've given us some of your analysis you always do a great job in the Tiger 4x report man I always make sure I check that out on Monday mornings for people watching the end I know it's an important component pretty remarkable what gold has been doing even with the yen where it is but obviously more components in gold than just the end but what are your feelings kind of risk-reward right now as we're approaching some of the weakest levels we've seen and you laid out the case but any price levels for those traders out there looking at the end yeah I can see a spiking around the 153 half area right now today we're making new highs now there is a little bit of divergence going on today you know you got to realize that yields are right rising oils rising but the dollar index is pulling back today you know the euro is up you know so I mean and this is off of the you know it's I look it as a profit-taking move you know the trend no matter what you're coming off of new highs in the dollar index meaning new lows in the euro US dollar off of yesterday you know so what I think you're seeing as a profit-taking move so I'd be careful you know I said this before like I'm bullish the US dollar yen I'm looking to buy breaks on it I'd be very careful selling above this area you know I'm really a happier seller at a 153 half and I would be at right now at 150 you know 193 152 you know I think you can get squeezed that way you know if you're gonna try and fade that market I would be very cautious with that if you're gonna do that try and high ball it more than low ball it you know and as far as you know being a bull I'd look to buy breaks I'd be careful buying the area where you're at because you're in the chop zone so yours you're it's all about your time value of money there where you can be up a little down a little you're going nowhere with that position you know what I mean so if we get back down towards the 150 area and especially if yields are still strong and oils high it's a great buy you know that's where you want to look at it then you can look at it as a profit-taking correction and look to buy you know for some solid support there and then maybe trade in the range I think we're gonna be probably trading in a range with the end between 148 and 153 over the next few months unless we have a major move in interest rates or oil so if we see oil above 100 you know getting to 110 and if you see yields really pushing you know higher levels well then you can see the yen up at 155 156 or even 158 and over the next few months then you're gonna probably have BOJ intervention but once again what is kind of impact is that really gonna have yeah it won't have any especially with I'm sorry with ours you know being pushed out with our Fed no I was just gonna say you can't be bigger than the market sometimes like you say man no matter what they do if the forces are behind it I love the way that you give us those exact clear levels for Teddy it's great man and you jump to crude I just want to get a little take man crude talk about higher prices man we've been talking about a bit 85 77 you gave some of those numbers right there in in the yen and I know you even last week you walked us through so well the fundamentals of that crude market you referenced it right now talking about the yen the dollar etc but any price levels for the crude traders out there as we're looking at a higher highs and higher lows basically since the end of last year right now well today we hit their upside target number one we had the critical resistance zone that I had in the forex report that we were bobbling in the last week and a half over the past few sessions we've gone from the bottom of that band all the way up to the top part and breached it yesterday with the clothes above it and now we hit this target it's a strong area if we get above one basically 86 bucks we're going up to 91 baby I love it folks check out the tiger forex report you heard the clarity that Teddy delivers man Teddy thank you so much for the nine minutes man I look forward to talking next week brother take care Tommy see you next week have a great one folks will be right back stay tuned


Hello everyone, welcome back to a new session on dentistry and more To this topic is pleomorphic adenoma From the name itself we'll get an idea about this tumor that is pleomorphic and adenoma adenoma We have seen adenoma toad or endogenic tumor something related to gland that is adenoma So what is pleo and what is morphic pleo is various Morphic is shapes. So it is a gland tumor which has various shapes elements and It is also known as mixed tumor because it consists of both epithelial and mesenchymal elements of Celebrity gland So let's get into the details of pleomorphic adenoma Pleomorphic adenoma is a salivary gland tumor and it is a most common tumor of salivary gland that It comprises of 60% of the total tumor. The second most one is What in steamer and it is often called as mixed tumor as it consists of As I mentioned in the title epithelial and mesenchymal elements So it is most commonly affects parotid gland that is 90 percentage and the remaining 10 percentage in various salivary glands Such as submantibular sublingual and other minor salivary glands So, you know what in steamer is exclusively parotid gland, but we cannot say pleomorphic it is exclusively parotid gland it is 90 percentage so remaining are Into the other salivary glands and it affects any age group, but most common in the 4th to the 6th decade that is 40 to 60 years of age group And it is the most common salivary neoplasm of children and also we can say that it is the most common salivary neoplasm of parotid gland So we'll move on to the clinical features It appears as Painless firm and mobile masses that rarely ulcerate the overlying skin or mucosa It is always painless and firm and these mobile masses rarely ulcerate and These slow-growing masses occur in the posterior inferior aspect of the superficial lobe In parotid gland it affects the posterior and inferior aspect of the superficial lobe So we know the lobes of various lobes of parotid gland. So it affects mostly the superficial lobe and Exactly the posterior and inferior aspect and if it is submantibular gland it is well defined and It's a palpable mass because submantibular gland or the location and the parotid gland location. We know it is on the Parotid gland is on the middle side of the ramus of mandible and submantibular gland It is at the lower part of the mandible So if it is in the submantibular gland that will be well-defined palpable mass And parotid gland it affects on the posterior inferior aspect of superficial lobe And this pleomorphic adenoma is very difficult to distinguish from malignant neoplasm and Inturated lymph nodes from the clinical appearance We need to go for other Investigation procedure to rule out the malignant neoplasm or an Inturated lymph nodes because it appears as a painless mass in that area So we always get confused from the clinical picture But further investigation will rule out the other possibilities. It also seen on pallet Upper lip and buckle mucosa so pallet upper lip buckle mucosa is the order of frequency and Size depends upon the gland it is affecting so size changes according to the gland where it is located So if it is in submantibular gland it takes up the shape of submantibular gland if it is parotid it takes up Parotid shape so similarly the size changes according to the gland where it is located and It will be of several centimeters in parotid gland and it will keep on increasing the size and it will become a huge mass If it is not treated In an untreated case it will be a huge mass So what is the pathology so pathology is like firm smooth mass within a pseudo capsule So there will be a pseudo capsule in this covering the mass The histological part is important. That is the epithelial cells Make up a trabecular pattern that is combined within a stroma. So these Cells can be Controid mixoid Osteoid or fibroid it can be anything so it can have various shapes So different elements May have various shapes. That is why it has got the pleomorphic or mixed tumor the name got from this That is it can have various shapes that the epithelial cells in the trabecular pattern Can have various shapes that is controid mixoid Osteoid or fibroid shape. Hence it got the pleomorphic or the mixed tumor And presence of microscopic projections of tumor can be seen outside of the capsule So treatment part it is most commonly the surgical removal with adequate margins and wide resections to To avoid the recurrence. So we keep always a wide resection and superficial Parotidctomy is sufficient if it is involving the parotid gland and If the tumor is in the tail, so we'll go for a wide margin resection of normal tissue Sparing the remainder of the superficial lobe So the tail part is if affected we can spare the Superficial lobe and go for a wide margin with a little normal tissue sparing And if it is affecting Antibular gland we should remove the entire gland It's not same as a parotid. Submantibular gland should be entirely removed So that is a treatment part commonly surgical excision will be done. So the name itself gives a clue about this Tumor that is pleomorphic adenoma. So Most of the tumor itself gives lot of clues from the title itself. So always Study the title how the title is came how the particular tumor got that name Then you can easily connect the other factors and write the detail description So that's all about pleomorphic adenoma. It is a most common tumor of Salary gland and most common salivary neoplasm of children and most commonly seen in parotid gland and How would the name got by the various elements that is controid, myxoid or astute or fibrode elements So I'll come up with a new Topic in the intestine or in oral pathology. Thank you


To give an extension to students, you can change the due date of your assigned assessment. Under the administration tab, click on assessment settings. Here I can change the due date to a later date, change the time, and even change the lateness penalty. Once I click save, I can see that it will be updated here. And if I click on the students tab, I can see what the student would see when they go to submit by clicking on the submission link beside a student's name. Here's the revised due date and time, and if I click on this, I can see the lateness penalty that will be applied.