Okay, so now what we want to do is we want to get a whole bunch of variations of this one grass blade here onto a texture sheet. So I'm just going to make a few variations here and slap them onto a texture sheet. All right. And so to do that, I'm going to jump inside the grass texture sheet geometry node. And the first thing I want to do is I want to drop down an object merge node. Now this object merge node is going to get the current grass blade. All right. And let's change the transform into this object. And what I want to do is get the result from the grass blade node. And that will then import our grass blade for us like so.  So how do we go about doing something like that? So just a quick example, I'm going to drop down a for each number. So I'm going to allow the user to determine how many variations they want here. Okay. And so inside of this for each loop, what I want to do is each time I iterate through, I want to add a new point. All right. And this is going to be the point to copy the grass blade to the current grass blade. All right. So what I need to do in this ad node is I need to turn on the point right here. So we get a single point in world space right at the center. Okay. And then we just need to copy our grass blade to that particular point. So I'm going to take the current grass blade and copy it to that point there. All right.  So currently if I were to go to the for each end node, we have 10 copies. So I can change this to get the different amount of copies. But for each copy, I want a bunch of different variations. All right. And so to do that, what I need to do is I need to get the current iteration that we're on. So what loop are we on? Because currently I have 10 iterations. So that means that this for each block is going to run 10 times or yeah, 10 times. So it's going to start at zero, then go to one and two. And I want to get that number. So that number is actually accessible on this for each count node. And I'm going to rename this to loop data. Something I like to do. You don't have to. It's not like that's necessary for the system to work. But you'll notice that in this loop data node, all right, you'll notice that this iteration value is set to nine right now. And that's just because our iterations are set to 10 up here. All right, if I go to my for each end node and turn on single pass and go back to this loop data node, all right. So what I'm going to do is I'm going to pin this geometry spreadsheet to look at this specific node currently. That way I can select the for each end and actually slide the single pass here. So you can see now that this iteration right here, all right, is changing as I move the slider. So now that's our number that we can use to generate a random value. All right, so now that we've got that information or we've got that concept in our heads, let's go back up. And what I want to do is start to put some my own custom properties on this grass blade here. And so I'm going to select the grass blade geo node. And I'm going to go and hit the little cog wheel up here and say edit parameter interface. Now, if you are familiar with creating HDAs, you might be thinking yourself, well, why are we doing that before we're creating HDA? Because, and the reason is because what we're going to do is we're going to make a massive HDA. This is more of like what I like to call compound HDAs.  This is a sub network that has a bunch of stuff inside of it. So it allows you to really accomplish a lot with one HDA. Now, I'm not saying that this is the only way to do it. There are cases where you want to just make a single HDA. That's just a single geometry node. This is more complex, more compound type of HDA. So anyways, all right. So now that we've removed all the UI elements from our geometry node, I'm going to go back to that edit parameters interface, and I'm going to drop out a integer. Okay, and on that integer, I'm going to name it ID, and this is going to be our iteration ID for the label, and hit apply, and accept, and now we've got this iteration ID. And so what I want to do is I want to change this value as that iteration changes down here. And so to get access to this value, we can use a detail expression. So I'm going to say detail. We want to get the information from our grass texture sheet and then from that loop data node, and the name of the iteration or the name of the value that we want to get is iteration. So that's that variable name or attribute name. We should call it, and there we go. So now I have the current iteration that we're on. All right, you can see this is zero. So if I were to, let's actually pin this one now, okay, and jump into our grass sheet, and I actually do need to change this. So let me make a new parameters view here and just quickly change this. So you can see that our iteration is now equal to three. And if we look at our grass blade, our iteration ID is now equal to three as well. Cool. All right, so now we are getting that value. So now what we can do is we can use that information. We can use this ID value inside of our network. All right, so we're creating procedural relationships between all these nodes, but the nodes themselves contain just the functionality that they need to process. And so really all I'm gonna do is vary the bend. Now you can go and add tons of variations to these, but I obviously just want to get the basic concept across in this video series. So to create a random value that goes from one range to another, one number to another, we're gonna utilize the fit01 expression. All right. And for the first argument, we need a float. Now this is the number that we want to create a random number from. So we're gonna use the rand function. And I'm going to get our ID parameter off of the node here. All right, and that should actually be, there it is, ID, there we go. All right, and so that's our channel. So now we're getting a random number from zero to one. All right, and I want to remap that from negative, let's say 10 to 10. Let's just do that. You can see it moved already for us. So now if I were to go back down into our grass texture sheet node and change this, you can see that we're getting variations, bunch of variations of that bend. Cool. So now we're generating a bunch of iterations.  They're all a little bit different. Cool, and you can go back up and this is another great way to expose properties or create more features. Let's go and create another float up here. And this is gonna be our bend range, like so. So I'll call this bend range. This just allows us to have a little bit more freedom here. So our minimum range is gonna be something like negative 20 and our max will be 20. And I'll just set the default to 10. And actually let's just keep this at zero. There we go, let's say accept. All right, so what I'm gonna do now is I'm gonna jump into the grass blade node here, go back to the bend node, and I'm just gonna get that parameter. So I'm gonna say ch dot dot forward slash to go up and onto the actual grass blade geo node. And I'm gonna look for that bend range property or parameter. All right, and I'm gonna replace our hard coded values with a value that now we can change up here. There we go, very cool. Okay, so that's more or less what I'm looking for. Okay, so the next step in all of this is actually get it onto a sheet. So that way we can turn it into a texture. So to do that, I'm gonna create a grid. All right, so this grid is gonna represent our texture, but it's still gonna be in 3D space. All right, and what I'm gonna do is put it into the y or xy plane over here, there we go. Very cool, okay. And I also want to change the rows and columns. Now, this is going to allow me to create the placement for the actual blade. For our rows, I really just need, well, in this case, I just want two rows because I wanna have these little vertical slats here, if you will. All right, and we'll just keep that something like four for now. And so in each one of these little quadrants here, these quads, I wanna have a grass blade. All right, so how do we go about doing something like that? So we're actually going to have to change this up a little bit here. And what I wanna do is I actually want to now go, instead of for each number, all right, I wanted to say by pieces or points, all right, and we're gonna loop over primitives, okay. But we don't really need to go and, you know, change all these parameters. In fact, you know, I much prefer to just go and drop down a for each primitive, right? Cause all the stuff is all hooked back up. Plus, this could get used to the preset. So we really just want to copy this stuff over here. Or we don't necessarily need to copy it. We can just replace this here like so. And just unhook this, so you can hold down Y on the keyboard and cut the lines there like so. Now, this stuff isn't set up, but we need that meta node again. So let's get this all back in order here. All right, so we need this loop data node back. And so what I'm gonna do is just come up to the for each begin and say create meta import node and then just call this loop data. There we go. So now we're gonna loop through all of the primitives here. So if I were to hook that in, you can see now we are getting a grass blade or all those grass blades per primitive there. And that's not what we want. All right, what we wanna do is we wanna create a single point at the bottom of each one of these strips here. So then you can see, let's actually just kind of start from the beginning here. We'll put this stuff over there like so. There we go. All right, so if I were to set the single pass, we can see that we're going through each of those primitives. All right, so what we wanna do in each pass is we wanna add this point. So let's do this. So let's add this point. We wanna add this point right here. And we actually wanna center it down at the bottom of this particular primitive. And so to do that, you'll notice that we have a way to position our point in space. And we know where the center of our particular primitive is. We can use the centroid. Okay, so let's do that. We wanna center this up the current point that we've just added. We wanna center it up in the x-axis. So I'm gonna use the centroid function. And we can just get the input from the first input here, which is there is only one of them. So we can get just that single input and we can say dx, like so. And this one's, we want to do the op input path. I believe there. Let's actually get this. There we go. Op input path. It's not allowing me to do the whole thing. That's weird. Op input path. And we want that one and zero. There we go. So you can see now it's centered up on the x, which is great. We should probably do the z as well just to be safe. All right, so we'll do dz for the z position. And then for the y direction, I just wanna get the bounding box of this quad and find the y min. All right, so we're gonna do bbbox. And we're gonna take the first input there and I bet you that works in the century too. So we'll say the d, y min, like so. And there we go. Now we now have a point there. Cool. Let's go and try this out so we don't have to type in op input path. Yep. So we'll just type in zero for the only input, but it also represents the first input. Cool. All right, so I also need a way to blow away or blast the current quad. So the first thing I need to do is group it. So we're just going to put it into a group here. And again, I'm using the dollar o s. So I'm gonna say orage quad for original quad. And yep, we just want the whole primitive there. So basically now that after we've added that new point, this is gonna be our copy point. I'm gonna blast the orage quad. And we'll get that particular group. And there we go. So now we're left with just our point. So now we can go and copy this. So if you wanna drag, hold networks together, hold down the shift key. There we go. Cool. And now we've got a point or we've got a grass blade on our point. Super cool. All right. And we're getting a bunch of variations out of all this. And if I were to turn off single pass, you can see I'm getting really tiny grass blades when our grid is actually really, really big. All right. Now we can always go and just normalize this. We can say one and one like so. There we go. And now we've got perfect fitting into our different areas. But I actually do wanna keep this at its defaults. And the reason why is because I honestly just wanna show off how we can actually fit those guys appropriately to whatever size we provide as our grid. So we're gonna use the match size node. So I'm gonna use match size like so. All right. So it wants an input and then it wants a bounding box that we wanna use to match against. All right. So I'm gonna take in the current grass blade that we have. All right. And I'm gonna feed in our quad that we're currently working on. All right. So this guy right here. Now you could do it like that, right? But if you wanna clean up your grass, let me just show you really quick. Cause I do kinda like to keep all these things pretty organized. We can also just drop down an object merge like so. And we'll say get current quad. So get current quad like so. And we don't need to transform it. And we'll get it from the group node rich quad. So now we have the current quad and I can just feed that in. All right. So it keeps it nice and clean. All right. It's easier to read that way. At least in my opinion. All right. So now we have our particular grass blade in the center. And now I don't really wanna do that. I just want to scale to fit it. And I really just wanna scale it in the y direction. And I don't wanna do any justification cause it should already be no translation. There we go. So we wanna put it onto center and just keep translate on actually. And then we wanna scale to fit this. And what I wanna do is a uniform scale. I believe. And I wanna match the y and that basically got rid of our actual offset. So let's just take a look and see if all these guys are now in their proper size that we're providing. All right. But now what I'm getting is, let's just put these all back to center then. There we go. Cool. So that's what I was looking for. Very cool. Might as well just put these all back to center then. I was wrong. All good. Okay. So now we've got all of our grass blades in place. And the cool thing is, is if I actually copy this here and then paste this reference. If I were to change the size, you can see that our grass blades go with it.  And it's gonna try to scale it as best can to fit it onto the texture. Pretty cool. All right. So let's do four. It seems to fill it up nicely. Okay. So now we got a whole bunch of variations on our grid and one thing I would like to do is actually add some padding. All right. So how do we actually add a little bit of padding between these? Now, in this case, it's not necessary, but I just wanna show this before I close out this particular video. So what I'm gonna do is create a poly extrude. All right. And for all the individual elements, what I wanna do is do an inset. And this will basically allow me to create a border around each of those. And in order to get rid of that padding, because now if we were to feed that through our loop, it would go through all these little tiny guys as well. What I wanna do is just output the front. I don't need the sides anymore. So we pass that in there. All right. And take a look at our final results. And now we've got a little bit of padding. And what we can do is we can actually change that padding and expose this value to allow people to, you know, give a little bit more padding to it. So lots of uses for that. Cause honestly, you don't want the grass blades budding right up against the border there. And so there we go. Cool. All right. So with that, we now have our grass blades all set up in a texture sheet type of format. What we wanna do now is get this into a texture format. Cause currently it's still all geometry. All right. So let's take a look at that in the next lecture.


Hey everyone and welcome back to Norris Cove I'm Yashida and here at the Cove we do functional planning budgeting stickers you name it we do it here if it is planar related we do it here so let's jump in we are planning for the week and i'm going to be using my weekly insert again i have it right here and so i did make the adjustments that i wanted to make i think i told you guys that in the last weekly video that i did so let's jump right on in okay so i'll probably fast forward and then fill out the week of and the calendar months and then we'll come in and do all of our other necessary things okay so we have our dates filled in we have our calendar filled in and let's start monday is always the busiest well it tends to be the busiest and that's because a lot of stuff that whatever i didn't get done gets pushed over to monday but i like to start with my top tasks um normally the bills that i have do they've already been paid last week so i don't have any of those i do have to work so here at 10 a.m we need to fill orders and the shipment goes out ship orders i'm going to be using some of my new stickers i'll be using this one in sand i almost forgot y'all i'll get to writing and it just won't be there won't be no stickers on the page because i mean i i really love minimal planning because it just works with me um so ship orders so under that i'm gonna put a little guide to let myself know that i'm gonna go to the post office because i mailed out some through my mailbox and they're just out there and i must have had a new a filling for my mail lady so they're just sending me so i want to make sure that i go to the post office so that i can hand them over um tidy office i did some laundry today but i'm gonna do some more laundry i just folded what needed to be folded from last week i'll be using these um laundry icons from my shop there we go i'm using that laundry icon right there also i need to go to the grocery store so let me right there i just went on saturday but i just got some things like for the weekend i'm gonna be using these off of this sheet here this is coming to the shop it is the teeny icons um i got a kind of a request for those i was using them so um some of my facebook group um requested them so i'll use it that one and then grocery store there's this one now oh and then i'm gonna skip a hop over to like my top three for the week um order supplies and in my group i'm doing exclusive like wednesday live we do normally a saturday live so i'm just gonna put over here facebook live i'll know i'll just put in parenthesis wednesday i normally do them on saturday but wednesday i'm doing something exclusive for them um and then we need to design i'm gonna take um one of these stickers there oops it says blush um this was like the original blush color and then i don't know i think the different printings but i'm different so it came out looking like light cash in here so it's pretty much light cash in here so blush my god good thing i only wrote on the sticker see my mind just be moving too fast oh my goodness okay let's get another one i need to slow it down and i'll let that blend in we need to design new releases that's all that i can think of right now it's kind of a payday but the money really doesn't show up until tuesday so then now i'm gonna go over to uh tuesday i like to check i don't like for the thing to be the same and y'all i totally forgot on something like making these payday scripts i'm going to do them they're already made i just need to make them like uh sellable so i'm gonna use that it's payday i love to top my day with payday and i think i got some little pay icons that i might use for that i'll probably do that later it was something else i needed to do for tuesday um i need to meal plan that needs to go on monday let me go ahead and meal prep meal plan i have my mini plan stickers here that i made for myself so i've already wrote in meal prep but i'll just use the plan right here and then of course i'm gonna keep going with the scripts i'm going to work out that needs to be on monday as well i'm in a 30 day challenge and it's almost over that don't really look right but oh well i should have wrote that in here but it's okay it's looking a little janky um so i'm gonna put a work out script here um tuesday we are filling and shipping orders um probably from the sale i think i'll be good but i'll just do um i like to put it anyway kind of manifest it field orders ship and then i'm gonna try to do more videos so i need to put down a to film video and then sometimes what i'll do is i'll do an informational for my facebook group or sometimes for youtube of how to use their products so maybe that's what that'll be that day i need to look at my little um brain dump list to figure that out let's see and then we need to schedule like an ig post to use this one from the little teeny sheet um the teeny sheet i didn't show it when i did um the new releases because that was last week's new releases but these teeny sheets will be coming this saturday coming so if you want to get all the beats on bat make sure that you check out my facebook group or my instagram and you can find them there while i have let's see is something i'm supposed to be doing oh go to the printers y'all i'm teaching myself a new software so i can up my insert game and so i need to go to the printers on tuesday the guy spoke with um works on tuesdays and thursdays and so he wants me to come back by so i'm hoping to kind of teach myself the software so i'll have everything that he needs by then so that should be um done on tuesday that's a good day to do that plus i am off i believe so let's see also these are in the shop as well i'm gonna take these and put well one of these and put it right there saturday because i'm gonna do a little budgeting um i won't probably have a budget video this week because there's nothing really due this week for raise the lord um and that's it there's nothing new this week so this week i will be like re-investing into supplies did i put that down i'm gonna do tuesday order supplies since i get paid yeah i'm gonna be honest with you my planner my writing is not perfect but it just works for me because i can look at it and see what i need to do uh wednesday we are still designing i need to put that on tuesday but so it ain't too janky plus our daily plan so it'll be in my daily plans anyway and i'm almost to the point where i'm thinking do i really need to have a weekly plan like insert because our daily plan and i really really love daily planning um design really releases uh we did we're gonna finish cutting the office we arranged the office because my office i'm trying to make it um what's the way i'm looking for i'm trying to make it accommodating because me and my husband are sharing an office right now and before he came i just needed like maybe two desks one desk but now he's in the office um i got to share my space so anywho that is that that's what we have so i'm trying to work with that space so i need to like adjust the space to work for us okay i'm gonna jump down here to thursday i have some happy meal coming or is happy meal coming on Wednesday i think both days so i'm gonna put happy meal and i'm glad i wrote that because i have to mail some happy meal so these are the teeny stickers in the premium mat so you'll be able to see it and then here they are in the clear so the clearing just don't know it's a circle so um sand happy meal i've been sending this happy meal i'm gonna even tell y'all how long probably for months i have a couple friends and um some people i need to send the mail to it just ain't going out of the channel i just forget i just totally forgot i'm not even gonna sit here and lie to you i just totally forgot um let's see i'm gonna use these chili beans but i just don't want to bring too much color right now to the spread friday y'all friday is um am i working friday i do work friday so far the afternoon but i'm just gonna put work and i keep forgetting to put work out on here and put work out like i said this challenge is almost over so next week if i get through next week oh i'm gonna feel like i'm at the finish line and will not be able to believe that i actually did 30 days straight y'all i'm sys with winner today today is the 20th i've exercised for 20 days straight you guys i can't believe in actually before that because i already did a couple days before this started so i'm excited um i'm going to use the sand again and i'm gonna put i'm off on my regular job on saturdays so i'm gonna use that work out script again i need to bring these to the shop i'll just probably drop them in and that way they're just there and thinking of dropping in um this is new releases as well i have a new release stickers that i made for myself because i do love the dots so i'll get there and then i was looking and i made these stickers for myself so i'm going to add them um am routine i'm a sticker this is mainly for my daily so i'm just going to sporadically put them um here in my spread i just made them for myself because sometimes i just i don't mind i love to write um i love pens but sometimes i don't want to write sometimes and it just depends on the look that i'm going for sometimes i just rather use a sticker um sometimes i love script stickers sometimes i'm off with script stickers i don't want any you know um then i have a to buy sticker here um i have been talking to my group and we want to bring some pens some more pens we had a pen sale sticky note sale so that we could get new stuff and so that went very well we had a dollar sale and we're just not doing it right now excuse me i'm going to put this right here beside supplies um because of the sale that we're in it just would have not been cost effective for myself so maybe i'll start it again maybe a following week to keep it going so we can bring in the new stuff but we have sold enough from a dollar sale that we can bring in a few more pens so i'm going to put this down am routine that i'm gonna put down a to buy because i want to place another order friday i have to base them on my pay honey how i get paid this is a full on investment me doing this you know this is full on investment out of my pocket no credit cards i've used some credit cards in the beginning but i'm really trying not to use any now use any now and um yeah and then if i think of something else oh we have sticky notes i have another sticky notes coming and they're just in the basket and all i gotta do is press the pay so that pen sticky notes and routine on sunday friday's looking a little skirmish i'm gonna put field orders on saturday no sunday because saturday has become the day where it's more informational oh and then here's a reminder i need that asterisk and put this asterisk down i am i know y'all like if she mentioned this facebook group one more time but those are my girls and i'm promising them like an infographic every sunday do i don't know what's coming up during the week so i have to make myself accountable and the way i do that is by putting in my planner infographic for facebook group do and then i'm gonna go to friday and i'm gonna use this sand i love this color sand but my fathers love it it's like a cross between milk and wheat it's like in between so on friday on friday i'm going to be designing my infographic for the group and that kind of lets me know that that keeps me ahead as well i told them if i can master the week showing up once a week then i can master giving them a monthly example of what's going to come out you know let me see if i can find another teeny one because i like this but here we go i wanted to transparent one so i'm gonna put a little note there that little note sticker um there are no birthdays that i know of in june oh i gotta get ready i'm uh oh i'm glad i thought about it let me get another asterisk i need to design my nieces um i'm gonna do that on thursday not to overcrowd myself i need to design my nieces wedding labels i know it's not gonna take me long but that's why i wanted to do that so long as i got my workouts in no bills are due we need to order supplies i had to remind myself of the facebook live and i know it's kind of plain but i want to add just a little deco just just because just because um so off so far i'm off on wednesday so i'm gonna use this this is from the planner spot i'm gonna use this day off label from the planner spot here i'm gonna use this do sticker because i had wrote do but can't even tell that it says do so i'm just gonna use that here and i just thought of something i'm working well i'm still i'm learning a new i said this a publishing software so that i can design inserts and just have them just perfect like i want and like i receive and so i'm studying that i did a little bit of it today so i need to make a reminder because that's what i'm going to use to get ahead for 2022 and i'm doing i'm working on calendar for 2022 calendar because my deadline is the first so i'm just going to put a little reminder here that i have a deadline 71 okay and i think that's it so i'm going to add a little deco and i love to add deco from here you know time to time and i have some here from my girl planner aesthetic over at planner aesthetic so i'm going to use i think this one looks so cozy i mean the stuff is just beautiful so i'm going to sit that over here and what i like about minimalist planning and functional planning that when i do add a little deco a sheet like this would last me four months because i don't use it that often and i'm not just decorating the whole thing but this is my weekly plan for jan June 21st through the 27th if you enjoyed today's video and you would love to see more from myself do me a favor hit that subscribe button also hit that notification bell and i'll see you guys in my next video


Where should you look when you're squatting? So a couple principles. The biggest thing that we're trying to affect, let's say two biggest things we're trying to affect with our eye gazing when we're squatting. One, we need to focus on something so that we have a frame of reference to the earth around us. If you were spinning and squatting, it'd be very difficult to squat because you'd have to rely only on your internal senses, right? There's nothing telling you, okay, nothing's moving so I can just keep going. Hopefully that makes sense. Second biggest thing is the neck position, the position of your neck, the angle of your neck, the curve of your neck. So when I'm squatting, I want a slight curve in my neck. I don't want my head pushed too far forward. I don't want my chin shoved too far back. Either way can compromise some of my airway, make me feel a little choked and can change the mechanics of the rest of my body. Ideally, I'm looking for just a slight curve. So for me, my neck tends to be flatter. I might need to look up a little bit higher than most people. If you're the kind of more typical programmer whose head is really far forward and your jaw's a little bit smaller and set back, then maybe you don't need to look up so much because you've already got that. You need to bring that face back a little bit and then I would continue to kind of look up maybe a little. Big thing here is your environment, right? So if you're in a gym and things are moving around, try to find something that's not gonna be so interfered with.  So way past this wall, way past the frame of this, you can look at a spot on the ground and then when you're bending over, you're still looking pretty much horizontally. Maybe at the top you're looking down slightly but it's not like I'm letting my head drop and I'm not looking at the ground right in front of me, okay? I don't want you focusing on the ground in this frame because that's too far down. That's my neck is in the wrong position there. I might have a stability point for my eyes to focus on but I don't have the neck position that I'm looking for. So for me, I'm gonna look up until I get my neck in a place where it feels like it can move and then I'm gonna find a point that I can stay at and just try to hang on to that as I come down.   So when I'm squatting, I have to look up through past my lenses, right? And I almost poked myself in the eye on camera. I have to look up through that and so I lose focus but I can still have, like I still have this sense of a point. So if you're squatting with glasses, it's okay that might happen, let it happen. So those are two big things.  Make sure you have something to focus on and make sure you have a nice good neck curve.


To be allowed to call on the President of the United States, Ronald Reagan, for a few remarks and to welcome his lovely wife and our lovely First Lady to this breakfast, Nancy Reagan. Thank you very much. Thank you. Thank you, please. Thank you. Thank you all very much. All our friends and distinguished guests here at the head table and all of you very distinguished people. General Vessie, I am terribly tempted to call for a vote right now on the defense budget. Nancy and I are delighted to be with you here this morning. You know, on the way over, I remembered something that happened a long time ago when teachers could talk about things like religion in the classroom. And a very lovely teacher was talking to her class of young boys and she asked, how many of you would like to go to heaven? And all the hands instantly shot into the air at once, except one. And she was astounded and she said, Charlie, you mean you don't want to go to heaven? He said, sure, I want to go to heaven, but not with that bunch. Maybe there's a little bit of Charlie in each of us. But somehow I don't think that wanting to go to heaven, but only on our terms and certainly not with that other bunch is quite what God had in mind. The prayer that I sometimes think we don't often use enough and one that I learned a few years ago and only after I had gotten into the business that I'm in is one of asking forgiveness for the resentment and the bitterness that we sometimes feel towards someone, whether it's in business dealings or in government or whatever we're doing and forgetting that we are brothers and sisters and that each of them is loved equally by God as much as we feel that he loves us. I'm so thankful that there will always be one day in the year when people all over our land can sit down as neighbors and friends and remind ourselves of what our real task is. This task was spelled out in the Old and the New Testament. Jesus was asked, Master, which is the great commandment in the law?  This is the first and great commandment. The second is like unto it. Thou shalt love thy neighbor as thyself. On these two commandments hang all the law and the prophets. Can we resolve to reach, learn and try to heed the greatest message ever written? God's Word in the Holy Bible. Inside its pages lie all the answers to all the problems that man has ever known. Now, I am assuming a new position, but I should warn our friends in the loyal opposition this new job won't require me to leave the White House. With the greatest enthusiasm, I have agreed to serve as honorary chairman for the year of the Bible. And when we think how many people in the world are imprisoned or tortured, harassed for even possessing a Bible or trying to read one, something that maybe we should realize how and take advantage of what we can do so easily. In his lessons and the great wealth of its words, we find comfort, strength, wisdom and hope. And when we find ourselves feeling a little like Charlie, we might remember something that Abraham Lincoln said over a hundred years ago. We have forgotten the gracious hand that preserved us in peace and multiplied and enriched and strengthened us. And we have vainly imagined in the deceitfulness of our hearts that all these blessings were produced by some superior wisdom and virtue of our own. We have become too proud to pray to the God that made us. Well, isn't it time for us to say we're not too proud to pray? We face great challenges in this country, but we face great challenges before and conquer them. What carried us through was a willingness to seek power and protection from one much greater than ourselves, to turn back to him and to trust in his mercy. Without his help, America will not go forward. I have a very special old Bible, and alongside a verse in the second book of Chronicles, there are some words handwritten, very faded by now, and believe me, the person who wrote those words was an authority. Her name was Nelly Wilson Reagan, she was my mother, and she wrote about that verse, a wonderful verse for the healing of the nations. Now, the verse that she'd marked reads, if my people which are called by my name shall humble themselves and pray and seek my face and turn from their wicked ways, then will I hear from heaven and will heal their land. I know that at times, all of us I do, feel that perhaps in our prayers we ask for too much. And then there are those other times when we feel that something isn't important enough to bother God with it. Maybe we should let him decide those things. The war corresponded Margaret Higgins, who received the Pulitzer Prize for international reporting because of her coverage of the Korean War. Among all her writings had an account one day of the Fifth Company of Marines who were part of an 18,000 man force that was in combat with 100,000 of the enemy. And she described an incident that took place early just after dawn on a very cold morning. It was 42 degrees below zero.  She saw one huge Marine who was eating cold beans with a trench knife. His clothes were frozen, stiff as a board. His face was covered with a heavy beard and crusted with mud. And one of the little group of war correspondents who were on hand went up to him and said, if I were God and could grant you anything you wished, what would you most like? And the Marine stood there for a moment looking down at that cold tin of beans and then he raised his head and said, give me tomorrow. Now I would like to sign a proclamation which will make 1983 the year of the Bible. And I want to thank Senator Bill Armstrong and Representative Carlos Morehead and all those inside and outside of Congress who assisted them and made this all possible. Thank you and God bless you and I'm going down and sign the proclamation. At this time I'd like to call on the Honorable Charles Whitley to lead us in a closing song.


We're talking about the WikiCite project, the Skolia project, and how that relates to medical content in Wikipedia and beyond Wikipedia in general. How do you all do? My name is Lane Raspberry. I do Wikipedia in the United States and a place called the University of Virginia in their School of Data Science. I'm Blue Raspberry on Wikipedia. You can write to me after this. If you have questions, that's the best way. I will talk to you by video chat at any time.  Just relax during this presentation. The slides are online. I'm going to cover a lot of things here and move quickly, but we can talk another time. You can send me questions. Everything will be answered. What I'm going to do first in two minutes, if you just stay here for two minutes and can pay attention that long, I will give you the skill that you need and then I'm gonna keep talking, but you can relax through the rest of it. Everything I want to say, I'm gonna say it in the first two minutes. I'm gonna say something about this concept, scholarly profiling. When I explain this, you're already going to know it, but I'm gonna put it out there. I'm gonna introduce these Wikipedia projects, WikiCite and Scolia. I'm gonna say beyond technically what they are, why I think they're going to save the world and then I'm gonna give a list of medical examples how WikiCite and Scolia relate to medicine. Of course you can edit. You can participate. This is Wikipedia. The skill I want to teach you is how to learn Wikimedia's variety of scholarly search. How to use this tool called Scolia. It's a WikiData related tool for scholarly search. You search for Scolia in your favorite search engine. Somehow you arrive at this place. Look, a search box, very familiar. And you can put things like a search term in it, any disease, medical condition, drug. Medicine is very well represented in this search. You can put in any kind of search term that you would search for for information to develop a Wikipedia article or anything else, but climate change is very popular. Any topic in diversity representation, very popular. Anything related to the open movement, open source software, open access, open science, very popular, but whatever you might research in Wikipedia you can research in Scolia. And when you do this, Scolia will spit out all these data visualizations. And what I'd like you to know about this, these are visualizations of the scholarly or academic literature. This is, Scolia is a tool by means of which you get access to sources in journals from universities, from scientists, from researchers. And these are good things to cite as you develop Wikipedia articles. So that's the skill I wanted to teach you. Navigate to Scolia, type in a search term. Look at these visualizations to help you find the research papers that you want to do research in Wikipedia or research anywhere else and then be enlightened. You've found good information, you can develop Wikipedia or anything else. What I just showed you, those pictures, I'm calling those scholarly profiling. This is a new term, a new concept. People have of course been doing this for many decades, but we're in a new age with artificial intelligence and all kinds of support for these kinds of things. And if anyone wants to know what is scholarly profiling, I expect that most people would be familiar with Google Scholar. And I would say Google Scholar is a competitor. It's related to what we're doing with Scolia, WikiCite and Wikipedia. For anyone who needs the introduction, here's what Google Scholar looks like. We've got a Google search box. You put a term into this and then you get information from Google what Google says or academic papers related to your term. Google Scholar is very popular for topics, give you a list of papers on a topic, the papers for a researcher, the papers by a certain keyword. Google makes good products. And I'm gonna say more, but yes, I do think that Wikipedia, Scolia, WikiData, WikiCite, all these things have a competitive advantage against Google. We in our little Wiki community can do things and be better than Google in certain key ways. One of the ways that we're better than Google is that when you search for Google, you get 10 pages of results, hundreds of pages of results. We need more sorting of these kinds of things. And if you go to Scolia, it's not possible for you to read 1,000 papers that Google's recommending to you. Our Wiki community, we curate things, we rearrange the way things are, we sort them ourselves, and we can put these into smaller categories, things that are more relevant to the kind of purposes that our community needs. So of course, while you would want this, Wikipedia editors want the best sources to site in Wikipedia, but this is a lot bigger than Wikipedia. I'm talking about everybody in every context wants help finding the best sources. And we can do things that Google can't do. It's very fortunate. Intro to WikiCite and Scolia. What are these terms that I've been using? What exactly is WikiCite? What is this Scolia tool? It's a lot of name dropping in context, but there's this project called WikiData. You're familiar with it. And a big part of WikiData, this pie chart represents the number of items in WikiData. And what I'd like you to see is this big slice here, the biggest slice of the pie, that is related to a project called WikiCite. These are papers that are indexed in WikiData, research, references, citations. So a big part of WikiData is sorting out these citations. The WikiCite project is the community in WikiData that's sorting out these papers. WikiCite is sorting out this big slice of the pie there. And I would call it the flagship project of WikiData, the project in WikiData that's got the most engagement, the most number of people who are curating, sorting out this content. And the most people who are talking about the very many social and ethical issues that come from sorting out this kind of literature. There's a lot of policy controversy in WikiCite and a lot of engagement in the WikiData community for this. If you'd like to get engaged in the WikiCite project, there's a project page in WikiData. This is where you say I need help doing something technically. I wanna know more about it in a Wiki project. You go here and there's other people who will talk to you 24 hours a day for the rest of your life about this WikiCite collection. Beyond the technical aspects of it, look at this, where we left WikiData, we went to Metawiki and there's also a project there called WikiCite. And here there's communities organizing regular meetups, people meeting online, people meeting in various social media channels to talk about these things. And there's at least monthly discussions, but actually the social discussions never end about this. That's coordinated in Metawiki. I want to tell you all, there's been multiple WikiCite conferences. Conferences are transient events. You come to them or you don't. And I don't expect anyone to care about the conferences that happened in the past, although they have presentations like this when you can read about what the discussions are over time. But what I want to impress upon you is that there's hundreds of people who are talking about this WikiCite project continuously and they have been for many years. And if anybody wants to get engaged in this, there's an existing community. It's a very popular thing to discuss for many reasons. It's hard for me to briefly explain why hundreds of people need to talk about this for years, but a lot of people find this very interesting and there's a community that's trying to sort out the best references and citations in Wikipedia for so many different reasons. So the name drop of terms. So I got a list of definitions here. Wikipedia, you know very well, this is the prose encyclopedia, very popular in search engines. Everybody in the world is reading Wikipedia, right? And a compliment to Wikipedia is WikiData. WikiData is for humans to read. WikiData is mostly for machines or artificial intelligence to read. And the content in WikiData that we're talking about is machine readable structured metadata. We're not talking about the entire academic or scientific article, we're talking about the metadata who wrote it, what journal is it in, a few keywords about it, what is the main subject. So we're talking about library indexing. How do you get access to these papers so that you can read them somewhere outside of the Wikipedia platform? WikiCite is the librarian project that sorts out all this metadata that WikiData is indexing. And this tool, Skolia, that I showed you in the beginning, what I wanted you to know about, that's a front end. It means that you go to this website and instead of having to form a query in WikiData's query service needing to know the query language, you can just type in your keyword and get access to all this data in WikiData. It's like Google Scholar Search, you can go to Skolia and find papers in that way. So many Wiki projects related to WikiCite, so many people engaged in it. If you want to talk to humans about all these things, you go to a Wiki project and you have a conversation with humans. What's the big idea for Wikipedia? If we can sort out access to the scholarly papers in the world, then at the bottom of every Wikipedia article, we can do all kinds of checks to make sure that the best sources for any given topic are cited in Wikipedia. We're talking about improving the quality of Wikipedia articles. But this is also a big idea for the world. We're practicing sorting out quality of information in Wikipedia, but there's so much fake news. In circulation, we need quality checks on every source of information, everywhere in the world, in every context. Everyone at every university needs help finding better access to research materials. So what can you do with these scolia profiles? Common profiles, you can search for topics, get a list of papers by the topics. You can search for an individual researcher if you think that you're interested in the kind of things that they're publishing, get the list of papers that they've published. If you find that a researcher is at a particular institution, like a university, maybe that person has colleagues and you'd like access to their papers or would like to know what's coming out of the university. Scolia can do all these things. Let's look at a few demos. So here I've got an example profile, type in the name of a university into Scolia and it gives you the list of the researchers who are at that university. Then you can click on any of their names and you get the list of their papers. So in this way, if you know a university and the data's incomplete, we're adding more data to this all the time, but the intent is for a given university, find out what kind of research they're publishing. Then if you know the people at a university, get a list of their papers and then tag those with the kind of topics that they research. And in this case, I've got an example of someone who's researching medical topics and so you can see what kinds of journals they're publishing in, get more access to their insight into the kind of things that they publish. When you look at one topic and here I've got the issue of obesity. If someone is ever talking about this medical condition, what other medical conditions do they talk about or what other topics do they talk about? So you start by researching one topic and then you find these kinds of visualizations where if someone's talking about this, then they also talk a lot about this and they talk somewhat about this, but these little bubbles, they're talking about this less even though it's represented. So you find the entire environment of what people research when you start from one topic. You can jump from topic to topic to find related researches. If you find one person that's publishing things, so start with one person. These people here, they collaborate, they're co-authors of papers and they've also published with this person. They don't work with that group at the top. So this is called a co-author network graph. You start with one person who's publishing in one field and find all the other people who are publishing in that field and what is their relationship? I've got the LGBT flag up there because this indicates a diversity issue. Because we have demographic data in wiki data, we're also able to do things like say, what is the gender of the different researchers? At this very conference, we have people talking about things like wiki project women scientists and as people tag women scientists, they tag all kinds of gender. And when you do this, one of the trends that you'll be able to see, I won't talk about this much now, is that there's disparities in all kinds of ways that certain demographics of people research one topic and they could very well research any topic but research is often very gendered, it's very regional. There's all kinds of other demographic characteristics that suddenly jump out because we're indexing all these people in wiki data and it makes for very interesting social research and commentary if you look at these kinds of things. Publications by year, you can see this is a timeline in these years, this particular topic wasn't being researched and then the topic suddenly becomes popular. So you can see the history of research for a given topic. Citations by year, so when did a topic suddenly become very well cited and discussed by other people? So it's another perspective of the popularity of research topics by years. Who are the authors who are citing particular papers? So you can go through the citation graph and find which papers are more popular and who's citing these kinds of things. What journals should a person read if they want information on a particular topic? You can get this from Skolia, this is all in wiki data as well. Why does all this matter? Why should anyone care about this?  Why are there so many hundreds of people who are engaged in developing this content? I'll give you my personal opinion and I think you would hear it if you went into any of these wiki projects and talked to some of these other people. We're doing this to save the world. The general problem that we're trying to solve is that there is so much good information out there, so much valuable knowledge, but it's inaccessible. If you go to Google Scholar, you're not going to be able to go through those thousand papers quickly enough. If you go to your university library and ask a librarian to help you, I'm sorry your librarian hasn't read the thousand papers that you're trying to browse through. You need automated tools to support you for this. And Wikipedia, Skolia, wiki data, wiki site, legitimately has solutions to help you sort out thousands of papers and find the published knowledge that you need to do the research that you want. We have a crisis that this is currently inaccessible. We have an opportunity that we really can address this challenge through the wikimedia platform. Skolia, it's in the wikimedia platform. We're talking about only using free and open data in wiki data. This is not something that you need special tools to access. You access this information through a website. You type your search terms in on the website. You get a result on the website. You can do this in your desktop computer. You can do it on your phone. And we let anybody participate in this. It's wiki, anyone can edit. Some of the bias problems that you will see in the library system or in Google, we're able to have ethical conversations in the wiki platform about how to be more diverse, how to represent more universities, how to represent more people around the world and represent more languages. You cannot have a conversation with Google if you want to complain with them. You can only have conversations in wiki. There's no one at Google. There is no customer support service. You take it or leave it with Google. We're providing a useful service. This is an orientation to academic literature. There's different ways that this integrates with wikimedia so that we can confirm that when people are researching topics in wikimedia, they have the information that they would need. I'd like to do a demo to compare Skolia with Google Scholar, but our problems begin here. Google asserts a copyright over their websites. This, we're presenting online. This is a wikimedia conference. We want this to be free and open copyright. And so I can't even show you screenshots of Google because it's copyrighted content. So that's one of the ways they were already superior to some of these other services. More comparison to Google with wiki data if you want for whatever reason to export your citations to somewhere else. We have an export button. Of course, it's free content. If you're allowed to move data into wikimedia, you're allowed to move content out. With Google, no, you can't move any of their data out. Google famously, they want you to go into their platform and stay in their platform. They don't have an export button. If you see a problem in Google, you can't fix it. They don't have an Anyone Can Edit button. And there are, in fact, a lot of problems with Google search results. There's limits to how many queries you can do. Wiki's open data, you can create as much as you like. And then this issue about not being able to openly license and discuss things is problematic as well. I've been mentioning Google, but there's also commercial products that you can buy. Some of the more popular ones is by a company called Clarivate Analytics. They make something called Web of Science. There's a company called Elsevier. They make a product called Scopus. Can we look at those? We have competitive advantages over Google. What can we do with other ones? Well, more problems. I cannot show you screenshots of the other ones. They assert copyright as well. Elsevier, this company is centuries old. It's run in the Netherlands. I don't have anything against the king of the Netherlands. This is Bill Alex. But there's centuries of restricted access to this. Old institutions that need to be updated. And when you look to the reasons why people can't access these things, it has to do with old institutions and tradition that I think very much need to be updated. Comparing to Scopus and Elsevier, the export button, it lets you export, but you cannot re-share the content. They want you to curate. It's got an edit button. Anyone can edit this. But when you edit, you're making a donation to their commercial company. And they will not let you reuse the content in WikiData or anything else. These companies make huge profit margins. It's a commercial enterprise. The shareholders come first. It's not for the community first. I think that Wikipedia can beat out and make better products than these commercial companies. What is Wikipedia's secret strength? I'm talking about us going head to head with companies that have a billion dollars. How can we possibly compete? And I'll tell you, our secret is that we design for the end user, whereas the other platforms are designing for to get money to the shareholders. Since we're doing it for the community, we have an advantage. Something else that we can do that the others can't do is that we can design products that have things like export buttons, make data open. When the other companies, they're restricted from doing these kinds of things. And I know they take our data out of WikiData because we're being generous and they're not. But I still think we're doing the right thing. And I think that we can make superior products to them. Now I'm gonna look at some other medical applications. I've been telling you so many things about the social issues of this, but what can you actually do medically with this Scolia tool? So one, profile any medical condition. This is pretty basic. So if you wanna see an example, you can go to Scolia and type in Zika virus infection. This was a big infectious disease outbreak a few years ago. It was discussed so many different ways in Wikipedia. You can see other related things. There's a Wiki project for Zika. COVID was very similar. You can search COVID topics. It's very well-profiled inside Scolia. And there's communities behind these things for the disease aspect, the humanitarian aspects, mapping aspects. Let's look at some of the Scolia profiles related to Zika. So you can get a list of the papers that are most recently published on the topic of this particular disease. Search for any disease. This is just an example. When someone's talking about this particular virus, what else do they talk about? So some of the things they talk about are pregnancy. They talk about birth defects. So this isn't just an infectious disease that affects adults. This is also affecting mothers carrying children. So you immediately see that by just getting the profile out of this search engine. When somebody's talking about one thing of this disease, what else are they talking about? I see sexual transmission up here, genetic effects, leaving the medical side and going into kind of the social side. What was the epidemic like? When people talk about one thing, they talk about the other thing. Very strange disease. This is a timeline here. It was first talked about in the 1950s, but it didn't really matter until suddenly it became an epidemic. And Scolia was waiting there. Wikidata was waiting there, curating this information, ready to go when an epidemic breaks out. If anyone mentions a location in these academic papers, you can find out what locations did this particular disease appear. You can see it was global. It appeared all over the place. Nice visualization you get from the Wiki platform. And where are the authors? So this has nothing to do with where the disease are. This is where the researchers are if they're researching this disease. You can get insight into where do the people live if they're researching a particular thing. So that's an example. Have fun with it. Go to Scolia and check it out for yourself. Now another example. How do you profile medical research at a university? I'm gonna give an example from a university in the United States. This isn't my university. This is a place called Vanderbilt University. Something unusual about this university is they tried to upload many of their papers into Wikidata and they tried to index all their faculty, all their scientists, all their professors in Wikidata so that they would show up in this kind of search. So we've got about 5,000 professors here that are affiliated with this university. It's actually not all of them, but they have a go at indexing a lot of them. You can get a list of them there. What kind of awards did these people get? You can track to see. This is good for the reputation of the university. If there's anything to acknowledge, it's all listed right there. Something else unusual. I'm not gonna go into the social implications of this too much, but again, we have projects in the Wikidata community that are applying gender labels to different people. And you can go to a university. You can go to a university department and say, what is the gender breakdown of people at this university? And again, you will see surprising things. For whatever reason, there's certain topics. They get more discussion and more research by certain kinds of researchers than others. Again, it's just interesting to do, and I expect to see a lot more research about this in the future. Clinical trials. So now we're jumping out of what's conventional in Wikipedia, going into things that are more related to Wikidata. This issue of clinical trials, which is medical research in humans. I don't have all the clinical trials for everywhere in the world, but we do have 99% of the clinical trials that are indexed in the United States by the US government. So this is a governmental index. If you want to see more about this, there's something called Wikiproject Clinical Trials with so many different ways to browse this. You can check out the Wikiproject. You can do these searches in Skolia as well. And some of the things that you can do are for a particular clinical trial, try to find the papers that are associated with it. Or if somebody has been the principal investigator, the leader of a particular research project in a clinical trial, you can find out what kind of papers they've also published. So there's a relationship between being a researcher and actually publishing papers. We've got an academic paper on this. You can see the discourse delineated, published about these kinds of things. The kind of things that you might want to see is for a given university, what kind of clinical trials have happened at that university? What kind of drugs have anyone tested? Give me the papers about these kinds of things. I'm sorry that I don't have a lot of time to go into detail about this. We've got to run, but some of the requests that we can make, we can P-10, the Wikimedia AI, she's in the background doing all these queries, giving you all this data as a robot. You can say, we can P-10, can you give me all the clinical trials for a particular disease? All the medical research that used a particular drug. All the research that has happened in my city, these are the kinds of things that we can profile. You can see the trials that are studying particular diseases, trials that are sponsored by particular companies. You can do queries to show me, I want to see the research that's only happening in cities with low population, other kinds of weird things that you would only be able to do in Wikidata. Research resources. This is kind of a funny concept. Bear with me, I'll tell you what this is. A research resource is something mentioned by a researcher as they publish their paper that they said they used to do the research. So for example, in an academic paper, there's a methodology section. And in the methodology section, they may say we use this particular software to do research, or they might say we use this data set or we created this data set. Either we're sharing data sets or we're putting data sets out into the world. All of these things are research resources. And buy and buy these hundreds of people who are doing this Wiki site project, one of the things that they're doing is trying to do extract the list of research resources named in every paper so that you can profile and do things like find out how many times a particular piece of research software has been used. And if you do this, you can find out is there very popular software that isn't so very well developed? I'll share that there's a United States Foundation, the Alfred P. Sloan Foundation that funded my university to do text mining of research papers to find software and find the most popular software that is the least recognized. The least funded like a single developer working very hard where lots and lots of scientists are using their software but no one's getting any credit. This actually happens quite a lot. What software do researchers use when researching a topic? You can put in the name of a topic into Skolia and get a list of the software that shows up there. Where we've got incomplete data. I'm not saying it's the best data in the world but it's getting much better every year. Things are moving very quickly. We're entering a different world. I've been talking about medicine. This kind of thing is also happening in other fields for example, I'm a member of this project. This is called Seek Commons. It's an environmental or climate change project and we're going through all kinds of research projects trying to find what data sets they use, what software they use, what hardware they use so that people can share more easily. These values of openness that we've cultivated in the Wiki community they also affect the scientific community greatly if we hadn't done so much discussion of Creative Commons licenses in the past 20 years. People would not be doing the kind of open licensing that they're doing in science that they're doing right now. What tools do researchers use when researching climate change we can promote all this kinds of sharing. I've been talking a lot about Skolia and Wikidata, Wikisite, Wikipedia. We're not alone in this. There's other people doing these same things. They collaborate with Wikipedia to differing extents but I'd like to call out Semantic Scholar if any of you don't know. One of the Microsoft founders he established a foundation called the Allen Institute and this is their equivalent product to Google Scholar or to Skolia. It's Semantic Scholar. It's also nonprofit. It's also open. These people are our friends. The Internet Archive also has many relationships with Wikipedia, archive.org. They've got something called Internet Archive Scholar and Microsoft itself was getting into this game. They decided to get out of this business. Microsoft did not want to compete and they converted all their data into an open data set. It's called OpenAlex. I think that's pretty cool. It's free for anyone. People are putting this into Wikipedia right now. As these things were open, we're also looking at things like copyright licenses, open licenses, you can push buttons. You can say how open is the research at a particular university? Are they doing open data sets, open hardware? What are they disclosing? You can get this kind of information at a glance. Very interesting for funders and other things. There's this concept of fair data. I'm not gonna go into detail about that, but some data, some content is easy for humans to read and difficult for machines to read. Some content, this fair content is very easy for machines to read. It's happening all over the world. So many changes are taking place as we have more artificial intelligence and more machine readable fair data. Big thanks to all the people who contributed to the various projects. I named about 10 projects in this presentation. I'm sorry for going so fast, but so many people to thank. Actually, thousands of Wikipedians contributed to all this. The Wikisite Project is a very big community. Peace, love and wiki to all of you. If you have any questions, contact me on wiki. I'll talk to you on wiki or you can talk to me by video chat. Thank you very much. I've got a minute for questions. Any questions? Yes, please, you, sir. Hi, I'm Juan from Argentina. I'm actually the Wikimedia and in residence at the National University of La Plata. We work with Scolia almost exclusively. And as you said, you know, Scolia is built upon the Wikidata query service. And a problem we usually encounter is that when we have, you know, thousands of scholars in the National University of La Plata item, sometimes the query gets a little bit, you know, overflow and it doesn't show the results. Is there a way to fix that or to avoid that? Because it's a really powerful tool and we love to use it. No, I'm so sorry. So this is not a Scolia problem. This is a Wikidata problem. I don't have time to explain this and I couldn't explain it anyway. There's other people at this Wikimedia who can explain this, but one way to explain this is Wikidata is full. Wikidata has too much content that's not quite accurate. But in any case, when you ask something like give me the list of all the papers at a university, even if we have this content in Wikidata, the kind of querying that is available in Wikidata, it breaks. It says, you have too much data, we can't do it, it times out. I would like to think that the database architecture of Wikidata is going to improve. I actually would have predicted that it would improve like five or eight years ago and I don't have the technical knowledge to know when Wikidata is going to be big enough and have the capacity for all the kinds of queries. But I have faith, I hope it's not misplaced faith. I'd like to think that very soon you will be able to query and get the list of all researchers at your university and all their papers without it timing out. I'm sorry, we're over time. If anyone has questions, please contact me. Thank you.


Hi everyone, Joe for jaspyscasebrakes.com coming at you with Jaspys 10 box light the lamp hockey mixer random team break and a Wax party promo break as well chance to win some nice boxes Details of that promo on jaspyscasebrakes.com here the box is featured in this mixer There's a visual look at it as well big. Thanks to this group for making it happen Thanks to the people who bought their spot straight up. Congrats to the people who won their spots That's why I have a little rooftop next to your name. You won that in the filler pack All 31 teams are in let's go. Let's roll it. Let's randomize names and teams three and a two five times one two three Four and fifth and final time For five we got Scott Goodman down to Sean Maddock with the spot that he won three and a two five times for the teams one two three four The fifth and final time After five times in st. Louis blues down to the Columbus blue jackets All right Scott with the blues Brandon with the senators Greg with the abs Martin with the sharks and jets Bernard with the islanders Martin with the flames Mike with the black Hawks James with the Oilers Steven with the gold Knights Martin with the Rangers Brian with the Bruins Nick with the Canucks Jack with the Hurricanes Matt with the Canadian's Jeremy with the Kings Martin with the penguins Nick with the predators Martin with the New Jersey Devils Jeremy with the coyotes Nick with the Panthers Martin with the Sabres Peter with the stars Martin with the ducks Edward with the wild Kevin with the flyers Jacob with the lightning will with the caps Martin with the Leafs Eric with the red wings Sean Maddock with the blue jackets Let's sort alphabetically by a team And we're gonna pause the video when we come back. We're gonna see if there's any Let's see if there's any trades, but they'll have the break stick around be right back All right, welcome back ladies and gentlemen a lot of trade chatter Lot of lot of hard negotiating in the chat But in the end no deals were done People just couldn't get on the same page That's okay. Pretty exciting trade window two for one offers three for one offers babies yes almost no That's crazy But no deals were done It happens Let's go. Let's rip. I know I've learned a lot over the years, but I'm still still not super familiar with whoever the hot names are in hockey, so If I pull a nice hit Be sure to let me know that it was a nice hit. I suppose if you're in this break, you'll know the difference So sure how long this breaks gonna take but I don't know we'll we'll readjust the schedule Once I finish this break might be a tiny bit ahead of schedule anyway, so we'll see. All right. Good luck Got Mitch Marner And our autograph is Dylan strome Hopefully he's a good player that'll go to Chicago that's gonna be for Mike Tower in the Blackhawks gave Velardi If this guy's pretty good for our number one overall pick right a Lexi Lafreniere How's he been doing this season? It's for Martin and the Rangers Sebastian Aho All right, there was your lure box So I think the other Lexi Lafreniere was a different parallel So this one has that border around there All right, what about some credentials that debut ticket access Libor Haji to 699 There's Trent Frederick to 699 Connor McDavid Matthew Kaczek Murs Lincoln to 699 Kevin Boyle to 999 debut ticket access Jimmy Schulte to 299 Malkin to 199 Penguins that'll be for Martin lower number there Kapokako and an autograph. We've got rookie science Nick Suzuki for the Montreal Canadiens There you go Montreal Matt McLaughlin Kapokako for the Rangers that'll be for Martin Malkin Penguins Martin Schult Vegas that'll be for Stephen Flatt Anaheim Martin Murs Lincoln's for Columbus That'll be for Sean Maddock Connor McDavid for Edmonton James Port Frederick Gruens Brian Heyman The Hagek for the Rangers New York Rangers Martin. All right. How about some SPX? Dougie Hamilton do the Dougie Carolina That'll be for Jack and we have a Nick Robertson SPX rookie Jersey 53 out of 99 It'll be for Martin and Toronto and then we've got a obsidian rookies 108 out of 349 Bowen Byron Bowen Byron that'll be for For Greg and the abs and obsidian Jersey Vittag Vanessa 108 out of 108 out of 399. All right. Okichi Platinum. It's quiet in the chat, so I must not have been anything good yet Maybe when we get to maybe the clear cut black diamond hit parade hockey be some monsters Towards the back there. Maybe some surprise in these current bosses Devin Dubnick black ice to 99 Roberta Luongo white ice to 199 Florida Panthers that'll be for Nick T and Minnesota Wild that's gonna go to Edward Jordan Everly white ice for the Oilers James Port And an autograph rookie Otto almost missed that Nicolai gold Obin San Jose that's gonna go to Martin and another autograph Brennan Gallagher for the Canadians And it'll be for Matt and Montreal. All right next box. There's Oli you'll you'll levy Vancouver Nick T with the Canucks 94 out of 299 The PMG Nico Hersher These are the these are the particular these PMGs are the ones you want to try to get out of these Metal universe boxes, so it'll be for New Jersey. That's gonna go to Martin and another PMG Ricard Raquel Raquel PMG nonetheless for Martin And that's out of 100 I don't think the green green is out of 100 as well 004 out of 100 This one's 44 out of 100 but different color some extended series coming up over here. We are hunting for young guns It's the latest on It's the latest in the hockey world today a lot of hockey games happening here It's still I've still have penguins Kings coming up in about 15 minutes Islanders beat the Devils 3 2 Jets beat the Red Wings 3-0 blue jackets shut out the hurricane 6-0 Four goals in the third period for the blue jackets lightning be the connects 4-2 Ruins be the Flyers 3-2 Senators Leading the flames 2-0 in the second period At the end of the second period Canadians leading the Blackhawks 2-1 all these games are on ESPN plus Sabres the Predators Sabres up 3-1 and The Blues up 2-1 on the Kraken 8 minutes left in the the third and penguins at Kings nice I might be able to watch a little Watch Oregon UCLA College basketball and switch over the penguins at Kings Rangers at sharks available as well Men were reminding us that there's only three left in Diamond Icons, which is another wax party break Get slap dazzlers We've got reflections to 500 for the Kings It'll be for Jeremy Port Logan Stanley young guns Winnipeg Jets that'll be for Martin Hayden Verbeek Canadians Montreal for Matt young guns Callum Booth Boston Bruins Brian Heyman Brian with the Boston Bruins Gets Booth next part here It's out of a thousand and Michael Bunting Young guns Michael putting up the bunting Martin. No check that Jeremy with the Arizona Coyotes Artem Zube For Ottawa that'll be for Brandon with the Senators young guns Cole Haltz young guns For the Kings Jeremy Port and onwards Trilogy Ty Smith to 499 from New Jersey Josh Norris to 299 for Ottawa That'll be for Brandon, New Jersey. That's for Martin Bowen Byron 406 out of 499 Greg and Colorado piece of his jersey and There's his autograph to 249 another one for Greg with a spot that he won 37 out of 249 that one's for Calgary to 999 Another autograph Reed Duke for Vegas. That's gonna be for Stephen Flatt and the Golden Knights And that's that for trilogy like diamond can be really nice. Let's see what we got 170 out of 349 Jack Hughes, New Jersey and Mario Lemieux, I know him 16 out of 25 authentic signature out of black diamond Wow Pittsburgh Martin there you go Martin Super Mario Nice got a big team logo jumbo Josh Norris Senators Ottawa that'll be for Brandon. There's maple leaves Mitch Marner piece of his jersey Going to Martin and Toronto Yeah, nice Mario, right Steve pretty strong Next up is key for bellows to 349 for the Islanders and We've got an exquisite card Mitch Marner 004 out of 299 those exquisite cards look really nice that'll go to Martin and Toronto Yeah, black diamond is now I want to say that there's a the next the new version of black diamonds coming up soon I'm not sure where we're upper deck is that with their with their hockey skid I know they've had to move some things around third cut one card and that is That is 24 out of 25 Anders Lee Islanders that's gonna go to Bernard. Yeah, there's always booking issues at the library Rex gotta watch out All right the last one is Matthew Kachuk 48 out of 85 three color patch an autograph for Calgary That's gonna be for Martin last bottom mojo with the last car. There you go game. I'm Joe for jazzy's case breaks calm That was our 10 box light the lamp hockey mixer I'm not sure no one ever explained to me what would light the lamp means, but I don't know Perhaps someone could come into the chat and tell me later Let's get all the names again. This is a wax party break Chance to chance to score some wax and a big big promo there You can check out the box list on jazby's case breaks calm. It's pretty impressive. So let's gather all the names New list and the top two names after After seven lucky seven times good luck one two three four five six and seventh and final time After seven times Good luck. Good luck very close Bernard No cigar there, but hey, thanks everybody for getting in on the action and congrats to Martin and Jack B. You're in Now we just got to fill up some more wax party breaks give away some boxes have a great time I'm Joe for jazby's case breaks calm. Thanks for watching. I'll see you next time for the next one. Bye. Bye You


Shiver 1000 here and I also have Monkey 1000s forget your name Today we're gonna be trying these out. I still don't know how to pronounce them teccus teccus These are meat sticks So let's get into them and let's check them out together. Okay guys, so It was funny. I'll take for you at the end of this video. That's for sure I I'm not sure how to pronounce this t a k i s It's Fuego F U E G o I'll show you the facts in a second. These are hot chili pepper and lime flavored meat sticks Bha and bht added to protect flavor But here's the nutrition facts if you guys want to pause that read it Another these were two dollars and seventy-eight cents pretty pricey and they were Three ounces there's six sticks in here So that's what a half an ounce each So we're gonna try these I'm sure they're not gonna be as good as my little rattlers But I thought we'd give these a shot It's like oh, I never had these and it's like hey we can do we can do a review on them So that's what we want to do all these were bought at Walmart too, by the way we Got these at Walmart Yeah When we went and got these the cards the video you seen before this if you had not seen that video back Checking out now. It's video right for this where we're the only reminder on the visa gift card So let's go ahead and open these up We love these meat sticks. Yeah, like you like much on more out on the boat and stuff They smell like I'm very pleasant Smell real good.  Well, it's me. Yeah. Yeah, but those rattlers they had some moisture inside them Got a kick a little bit on my tongue I Can taste the line we're learning what is the line Are these lines or what? Line Um, oh, yeah, they're hot. They're not hot. They're spicy. They're not hot It's a difference guys. I said it every time before people still know the difference I can't put my you have to almost swallow it before you feel it. I want to say for 278. No What's he know that I Can't taste the chili No, it tastes a little of the line But that smell has the exact same flavor Yeah, nothing that it's no, I mean, it's I Do you feel it doesn't have a good flavor? I feel it. I Don't feel any Heat or anything. See it's got a picture of fire on it. Yeah. No, no, it's not for our hot There is some there is some spice here. I can taste a little bit of line, but you know I don't like I don't like it. I don't like the dryness of it smells like I don't know. It's not good. I don't think it's good. The damn sure any worse 278 How some of you guys might like this? I'm gonna recommend you try it Because a lot of people do like stuff like this. So I recommend you try it But for 278, I think it's a little too pricy I would say this should be about a dollar seventy five to two dollars. I think it would be fair You may like them. So I I mean I'm going to give it a thumbs up Because there's our six of these meat sticks It's not a lot, but that's good enough for a snack or to snack on why you're fishing or something. I Am gonna give it one thumbs up Because I can taste the lime in it. I don't taste the chili But I'm gonna give it out of out of five I Give it a two and a half. I'll give it a strong two and a half, but it's getting a two and a half for me What do you think? Hmm? Me to me I feel it you know You know, all right, what about the meat flavor the meat no the meat itself is crap. No, yeah, no So I'll probably give it a two to yeah And that's it. I give it a strong two and a half. I will give it a thumbs up.  I think I'm better, but that's just my opinion. Yeah, I would say yes, it's worth to try them But I'm not gonna buy them again. No, I Will eat them will will eat them. I won't miss them though. But uh, no No I miss so I'm giving it, you know medium.  But the meat for it just a different flavor Something in it tastes like some kind of meat I've had before Mystery me it almost tastes like possum if you've ever had possum. Oh, don't tell me that it almost tastes like that Possums a little better, I think She better I can't believe you think as possum I didn't when did you guys hear me say I thought there's I said it reminds me if You've ever had possum it kind of reminds me of possum flavor only possums a little better than that I didn't say I think there's possum in here. No way did I say that to now?  I'm making a claim. No, I don't see it on No, I just said if you've ever had it, that's what it reminds me of right Okay, if you've never had it, you know, I'm gonna want to talk about I did not by any means Disclaimers say that I thought that there was roadkilling this because I did I do however My personal belief is roadkill does taste a little better than that. But hey, that's my opinion I'm entitled that say goodbye Gracie.  Yeah. Yeah Classics hold black and white Yeah, yeah, but anyway, um, so Good luck on that. Oh, this is a totally different video. Yeah, we just did two videos back-to-back now. I'm like You guys He left me in the wind It's gonna hurt yourself a lot more they were 25 bucks 278 Fuego you said FH EGO It's F. You It's FU EGO Fuego Okay, Fuego Start now


Prudence indeed will dictate that governments long-established should not be changed for light and transient causes. And accordingly all experience has shown that mankind are more disposed to suffer while evils are sufferable than to write themselves by abolishing the forms to which they're accustomed. What they're saying here is that people shouldn't and don't start revolutions whenever they're unhappy. They only do it when the problems are very serious, when they have tried by every possible means to resolve their grievances peacefully. When there are these serious causes, it's their right and their duty to throw off such a garment. I think it's important that they say, right, it is their right, it is their duty. They're not just doing this because they want to. They're doing it because the laws of nature compel them. And that's a persistent theme in the Declaration of Independent. Accessity compels us to do this. We don't want to do this. We're not choosing to do it because we're rabble rogers. We're doing it because the laws of nature tell us that we must do this, otherwise we will be the equivalent of slaves. Our liberty will be taken away from us. The history of the present King of Great Britain is a history of repeated injuries and usurpations, all having in direct object the establishment of an absolute tyranny over these states. When the King becomes a tyrant, revolution is necessary to preserve the liberties of the people. To prove these, let facts be submitted to the candid world. That's a very good rhetorical device. Let the facts be submitted. So any objective observer given this list will understand why the colonies are starting this revolution, why they are declaring their independence, and they will side with us. It's interesting to look at the list in the Declaration that each sentence begins, he has, he has, he has. And who is the he? Well, the he is the King of England, King George III. What seems inexplicable at first is why the colonists blame all these on George III. It wasn't George III, at least initially, who single-handedly imposed taxes or deprived the colonists of trial by jury or quartered troops among the colonists. It was Parliament, but it was understood that the King gave his assent to laws of Parliament and that the King theoretically had the ultimate say in approving laws of Parliament. So if George III had wanted to veto any of these laws, at least theoretically he could have. There was no British monarch since the early 18th century had actually vetoed a law of Parliament, but the colonists believed that the King was their ultimate guardian and protector in Britain and that's who they appealed to ultimately for help and that's who they felt ultimately let them down. Also, you don't rebel against Parliament. You can only rebel when the King becomes a tyrant and when the King is no longer the protector or guardian of your liberties. They have to lay these issues at his feet in order for rebellion to be justified. So I think this list of grievances is interesting in its particulars and more generally because they blame all this stuff that previously might have been blamed on Parliament on the King. He has refused his assent to laws the most wholesome and necessary for the public good. That is a reference to the fact that after the colonial legislatures approved a law, then it would go to the governor in that colony for approval, then it would be sent to England for approval and there are cases in which the Crown refused to pass certain laws that the colonists thought would be good for them. The colonists feel like Britain is coming between them and they're just right to representative government in their own colonies. He has refused his assent to laws the most wholesome and necessary for the public good. That is a reference to the fact that after the colonial legislatures approved a law, then it would go to the governor in that colony for approval, then it would be sent to England for approval and there are cases in which the Crown refused to pass certain laws that the colonists thought would be good for them. The colonists feel like Britain is coming between them and they're just right to representative government in their own colonies. He has dissolved representative houses repeatedly for opposing with manly firmness his invasions on the rights of the people. I think one of the things that really started to get to the colonists was the fact that the royal governors, whenever they were threatened because the assemblies were passing resolutions opposing British laws would then send the representatives home. They would dissolve the legislatures and the legislatures could not reconvene on their own merits. They would go down to a local tavern and reconvene in the name of the people but they didn't have the legal authority of the legitimate government, the royal government. And so the colonists increasingly felt that Britain was violating their right to representation in their own colonial legislatures. Suspending our legislatures that refers to the fact that in certain colonies the parliament prohibited the legislature from meeting that violated the people's basic right to elect representatives who would govern them. And then the Declaratory Act of 1766 which was passed in the wake of the repeal of the Stamp Act said that parliament had the right to pass laws governing the colonies in any case whatsoever and parliament intended that to apply to taxes. And the colonists said that no, they would agree to laws that parliament passed that were for the governance of the empire but they would not agree to pay any taxes that were not passed by their own representatives. Those in particular refer to this issue of no taxation without representation. The Anglo-American idea of taxes was that taxes are a gift of the people to the government and the government uses those taxes to preserve life, liberty and property for the security of the state, for the security of the people. The people can't be forced to give these taxes without their consent. That doesn't mean that the people meet personally to vote on taxes but through their representatives. So as long as they are electing representatives to an assembly then that assembly has the right to vote taxes and they are bound to pay those taxes even if they don't agree with the particular policies they can change the person who they elect. In every stage of these oppressions we have petitioned for redress in the most humble terms and from the colonist point of view at every point since 1765 when they first became aware of what they perceived as change in British policy they took steps to let Britain know that they were upset. They did this by sending petitions to the King, to the House of Lords, to the House of Commons. They did this by passing resolutions in their colonial legislatures. They did this by boycotting British goods. They did this by gathering together in a Continental Congress and by passing resolutions as a united group. The government didn't listen, the people of Britain didn't listen. Our repeated petitions have been answered only by repeated injury. A prince whose character is thus marched by every act which may define a tyrant is unfit to be the ruler of a free people.