Hello, I am Jürgen Hauser from the BMC Helix Business Workflows Product Management Team. In this demonstration I want to show you the highlights of our 1808 release. Business workflows now supports Digital Workplace Advanced instead of the basic version to take advantage of all the great features Digital Workplace Advanced offers. For requesting the service I just leveraged the quick request feature to bypass the shopping cart. This comes in handy for example for HR requests. Say for later is another example of a DWP Advanced feature that is now available. I can submit a service request that will create a case in Business Workflows. The case agent in Business Workflows can see the source of the case, Digital Workplace in this case, see a request ID that allows it to tie it back to a service in Digital Workplace and there is a dedicated tab at the bottom of the screen with a request of responses to the questionnaire. Flow sets are a concept to tailor the behavior of Business Workflows to meet requirements of different lines of business and the changes easily survive upgrades. The first new function is initialization which is executed when the case is actually created in Business Workflows. The second function is user activity feed. That gets executed when something gets added to the activity feed. I'm sending an email to Business Workflows and one flow set function case initialization will check if the keyword critical is contained in the email subject or body. Here's the case that was just created in Business Workflows. The source is email, the content of the email is included in the description and the case priority is set to critical. Let's take a look at the case template. The case template defines medium as the case priority. That shows how our case initialization function actually overwrote the priority based on the content of the email. Especially in retail and banking employees often call HR on their way home. In Business Workflows either quick case or create case are being used in such scenarios. You can now set up identity validation based on a PIN. This makes it either a hard requirement or optional depending on how it's defined in the case template for an agent to ask for the PIN and confirm it before creating the case. The PIN is confirmed we can create the case. We log the successful validation in the activity feed. If the validation was optional and the requester was not validated we clearly indicate for the agent that the requester was not validated by this box on top of the case but also in the activity stream. It is now way easier to configure approvals in Business Workflows. New approvals can now be defined with a few clicks. You can select the type of approval for example manager approval for any number of levels or one or all of a group have to approve. Who is the next one to approve is nicely visualized on the case view in Business Workflows itself. In this example just one of the four approvers shown has to approve the case. The activity feed is now complimented by a case history that shows changes to core case attributes. The case history records who made the change, when the change was made and the new value of the field. This allows later to reconstruct how a case was resolved. Thank you for watching this demonstration of BMC Helix Business Workflows.


What's up? How are you guys this week? As usual it is Monday down at Frankie's free-range meet Honestly surprised. I'm not in Mexico or Columbia yet funny story one of the guys that fixed my machine once He's actually Colombian. He had like a place on a beach in Colombia and it offered Me to come stay there, but with how much he charged me to fix the machine I'm surprised he didn't pay for my playing ticket and a few girls to play with while I was there but I guess back to business so a Few things this week guys. We've got some restocked as always some stuff to talk about Post office just came picked up all the eggs all the other orders So you guys should have those early this week We're still waiting on some more pre-orders for the fresh beef share It was supposed to actually ship last week But it looks like we're gonna have to wait another week or two if not I'm just gonna have to get it and and hopefully you guys buy the rest of it when it comes in eggs and dairy still going strong We'll talk about that in a second But I guess we'll just hop in the fridge show you guys what's known on the meat end of things Last week all the glands came back in we got some thyroid glands over here Some of the adrenal glands over here beef ovaries over here.  Yeah, these are packaged About three quarters of a pound point seven five. I'll show you guys last week We got the delicious Iberico pork plain and breakfast sausages both of these are really really amazing guys if you haven't tried them we did get some goat testicles in and Package them individually so these are much more affordable than the beef testicles They're priced way lower per pound and they are also smaller So if you want to spend about four dollars for more convenience We do have these available on the website the veal sweetbreads are back in stock culinary delicacy And we showed you guys the new beef share last week as well You get hot dogs spice sausage plain sausage scrapple baloney six pounds of meat for like seven dollars a pound Which is crazy beef prostate glands definitely a unique product if you want to Give your wife or girlfriend significant other a little bit of a workout Also restock some porter house steaks this week. These are awesome guys They're around 1.2 pounds each one inch thick cut porter house T-bone steaks very affordable Yeah, so not too much going on on the meat end of things Yeah, so hopefully we get a few more pre-orders on the fresh beef share and we can bring it in in about two weeks And then if we can get the farmer to find a source of good pork and we could do another pork share and The sooner you guys buy the regular beef share too Then we can do the sausage products again and sell them individually into the cooler We have way too many eggs to be honest Duck eggs did restock this week, but I think we're sold out We do have plenty of chicken eggs so you guys know it's like the egg fiasco and all that stuff We never increased our prices, but the egg sales did go up substantially So our farm was able to give us more eggs But now that kind of died down a little bit plus we got the duck eggs in two You know another few hundred dozen per week So if you guys need eggs whatever if you've had problems with past orders whether the eggs are broken We always issue refunds you guys just email us tell us how many eggs are broken We issue a credit or if they didn't get there fast enough Hey, we might have to switch to FedEx with the eggs But I don't want to have to tell the farmer that we don't need as many eggs because You know, we are supporting the local businesses. We want to continue to grow with them and Provide an actual high-quality product the corn and soy free chicken eggs and duck eggs Maybe we'll do a video this week comparing them I was a little upset last week you guys bought all the roast beef so I couldn't have any for dinner But now we are all roast beef out I'm glad you guys are buying this product and the nice thing about roast beef is you know If you're lonely sometimes the grass-fed roast beef has a little bit of a fishy taste to it So, you know fishy roast beef reminds me a little bit of the New York City girl. I'm sorry though horrible joke I had to make it The grass-fed beef doesn't actually taste fishy guys. I just wanted to make the crude joke. It's really really delicious stuff I could eat like a whole package at once. It's really really good And for me what's really been a lifesaver this week is the water kefir grains And of course our water kefir now I took a break for a little while from the water kefir just because I thought I didn't really need it and my sleep got so bad like I couldn't figure out what it is I wasn't sleeping for like three weeks didn't have one good night of sleep and then yesterday had the water kefir again Water kefir grains completely clocked me out. I felt so much better And I've said it before like the water kefir has really been a key part of me fixing my gut health And I'm clearly still at a point where you know if I don't have the quality probiotics in my diet At least a few times a week. It just doesn't work And I mean if you actually look at indigenous cultures and all these groups of people Every single one of them for the most part did have like a fermented probiotic drink that they consumed frequently in some capacity So it's not like it's an unnatural thing to consistently have in your diet And the water key for that we make is the highest quality that exists Yeah, it guys I'm honestly losing my mind making this stuff every week because we keep everything in glass We use very expensive bottled mineral water. We're using the highest quality organic sugars and syrups and fruits and sites Organic lemons and limes delivered every week. It's a lot a lot of work. No one else is making this product So buy it before I lose my mind Organ supplements nothing new really going on We did a few videos like over the past few months showing you guys the new supplement line all that stuff So definitely check that out if you're interested. I take the minerals and especially the B vitamins on a daily basis Yeah, I take a lot of the B complex and then usually with every meal I'm taking like B1 B2 as well as B3 and I kind of interchange between them So B vitamins are definitely important if you're drinking a lot of water keeper to kind of counteract the alcohol and keep your liver Functioning high Wi-Fi shielding you guys know I'm always wearing like the Wi-Fi shielding hat that has the silver on the inside mainly because I Need to comb my hair in the morning I'm always wearing the you know the Wi-Fi shielding clothing all black and We do have a few canopies left. I think yeah, we got we got the twin We got the Queen and we got some King canopies We are out of floor mats so we might have to get more of those Frankie's naturals honestly I might contact like a manufacturer and we might get some nice Packaging done for some of these products because you know, it's all homemade stuff It's the highest quality minimalist ingredients, but it's not necessarily what people want Honestly guys at this point I was supposed to have this like beautiful Russian wife that had her own cosmetic line So I wouldn't have to make this stuff, you know And I think a female would be more appealing for the cosmetic stuff, but go figure I have to get a you know what maybe I'll get some of my Chinese buddies to make it for me And then they'll send over a Chinese wife with the shipment. Yeah, it's funny because like I was messaging them And I was like dead serious.   I'm just I've just completely lost it We did forget to show you guys the dairy. So let's talk about that real quick So we're selling out of the dairy every week for the most part guys We do have some of the cheese dip still available And some butter and a small amount of heavy cream I just got a double check the inventory because the the fresh beef shears are throwing off the inventory a little bit So all of the dairy products are straight from the farm guys stop emailing me questions trying to incriminate me 100% grass-fed a 2 a 2 highest quality possible is the is the sound of the condenser driving you guys crazy yet because it's driving me crazy Whether you want milk Kefir buttermilk yogurt cream butter fresh farm cheese this poor kid this poor Amish kid is Slaving away for you guys and you won't support him.  Hey look Can you cut back a little bit because he's doing well, but his son which is doing the dairy for us It's a lot of work. Honestly, he's not making like a crazy amount of money So hopefully you guys Continue to support the dairy products and buy them and and we can build up something good with him because it's honestly so much work For him to do all of these products for us every week and it's really special that he's doing them in a small amount So hopefully hopefully we can treat him good enough and and continue to grow the business and keep the customer base We finally made some pemmican guys. It's a little creamier Different meat use this time, but I'm sure you guys will like it So if you guys have been waiting for the pemmican just keeping out on the website towards the weekend when we have time To put it away, but that is everything for this week guys If you would like to learn more about me and my interesting businesses be sure to go to Frank dash to fauna calm Frankie series me Frank is range foods Wi-Fi shielding Frankie's naturals organ supplements always something going on guys. We're looking at Doing the the bell tong and the beef steaks with my own recipe. Hopefully in a few months. I'm still looking for someone to do potato chips Still still moving forward guys haven't completely lost it yet, you know If I do completely you lose it, I will like You guys you guys a mouth you guys enough, but Thanks again for joining guys Just drop a like leave a comment down below make sure to subscribe and check that notification bell and we'll see you guys soon


Are there obituaries of economists that stand out in your mind, or maybe some you've written? Well, interestingly, there is one. As I said, my original training was in classical music, and so my editors almost jumped out of their skins with excitement when they discovered they could assign me the obituary of a Harvard economist named Richard T. Gill. Now, why did they give that to me? Because, as we say in the lead of the Ovid, Richard T. Gill, in all statistical probability, the only Harvard economist to sing 86 performances with the metropolitan opera died, et cetera, et cetera. I remember reading that one. That was before I knew that you were you. I was me then. You just didn't know it. And in fact, it's again one of these wonderful unexpected twists for all concerned, no one more so than for Richard T. Gill, he discovered when he was in his 40s that he had this really good voice, started taking lessons, and amazingly was good enough to sing at the Met while teaching at Harvard.


So, many of us here attending the conference in person may have traveled from elsewhere and yesterday we had the awesome walking tour and you may still want to explore Seattle a bit more. So, we're going to do here would depend on the weather so. And it's just like when you average some values over a vast, a vast geographical area like a state and here's here we see that. On average, Washington, the Washington state tends to be less sunny than California. Well, it's still sunny today, but that's an average. So, so you get a gist of bulk harness seek. So, yeah, you. But here as a tourist you will, you will prepare for the weather in the individual city and you also want to visit like individual places in the city so you want to hire resolution. And so singles are in this data is just like a list of tourist attractions that may be of interest, but, but each tourist attractions is distributed from space. And here it's like, say a building will be analogous to a cell and it does give a lot of interesting information about the, which places are interesting in Seattle. Yeah, for a walking tour we went to some of those and and you can even just like in singles are in the seek cluster those different places based on their characteristics like these are skyscrapers and these are museums and so on. So, now get to see like what is of interest there and then you will wonder how how do you get there, then you will look at a map. Which I would say it's maybe analogous to spatial transcriptomics data and so here in this map you see like different places of interest labeled on the map and you know where they are and you also get annotations of different spatial regions on this map here in neighborhoods with different characteristics and different functions. And so if you went to walking tour and if you like zooming onto the map and really study you may find out like different types of places tend to cluster in space, such as the skyscrapers in downtown and also like several museums around space needle and you may ask why such clustering and and then this may inspire interest to to look into the historical the historical forces behind these such as the 1960 1962 World Fair that gave rise to space needle and Seattle Center around here. And so so in this way. Space information may may may lead you to further investigations that that will not be available in non spatial single cell data. It's not responding. So back to spatial transcriptomics spatial transcriptomic transcriptomics technologies will help us to make that kind of map in histological space. So in this this plot shows the number of new publications for spatial transcriptomics over time and we see that for both data collection in the blue curve and data analysis in the red curve. We see like a sharp increase in in the interest in the number of new publications since 2018. And what are the what are the leading spatial transcriptomics technologies and so here. So this plot shows the number of institutions using each technology that I know of and the vision from 10x show mixes by far most popular it's used by over 100 different institutions around the world and then it's followed by Joe Mac Joe MX DSP and here's the Joe MX whole transcriptomic analysis and from nano string here. And yeah and then we also have like some other single molecular fish based method and the in citrus sequencing. But and these technologies can be classified based on how the spatial information is conserved but for for purpose of this workshop it's good enough to know that. Like these methods like visiting man Joe MX DS DSP would aggregate the transcripts over areas in the tissue and they don't they don't have a single cell resolution while. While the SM fish and in citrus sequencing based method they they will visualize the transcripts as a discrete puncture and then count them and these have single molecular and the single cell resolution. Yeah here just may if you don't already know yeah here's a quick intro to how those the most popular popular technologies work so. Yeah and vision it's basically you'll have a glass slide and you have. And you will print the micro array onto the slide in the regular hex hexagonal grid and then each spot would each spot printed on this micro array would have a. Spatial barcode whose locations are already known and also has a transcript capture sequence and you mount the tissue on onto the slide onto the capture capture region then those spots will capture the transcripts in in situ. For Jill MX DSP it's basically you have you have probes targeting targeting each gene and. And then on each probe there's a UV cleavable cleavable tag and then so when you select the regions of interest or our eyes. The UV cleavable cleavable tags only within those regions will be released and those can be quantified to in order to quantify gene expression. Within that within that area. So for for SM fish based methods and in this example it's sick fish it's here each. So each spot here is the individual transcript mRNA molecule and so these are counted and in order to quantify more genes than there are easily discernible colors of you you perform multiple rounds of hybridization. And here this kind of data is usually also accompanied by a DAPI staining for a nuclei and often like some other kind of standing for the cytoplasm for wholesale segmentation. So as for the analysis it can be broadly divided to types the upstream downstream in upstream the analysis. upstream the analysis would will convert raw data into a more usable form such as fast queue files to gen count matrix, which can then be used in downstream analysis for biological inferences such as finding special variable genes and special regions which have been discussed in some earlier talks today and so for here for the package is demonstrated here in this workshop special feature experiment as a way to organize the data it's it will be more like upstream while voyager which is used for exploratory spatial analysis based on the SFE structure it's kind of more downstream. The spatial information in from spatial transcriptomics will give us many opportunities not not available in non spatial singles RNA seek. However, those opportunities are not always utilized. So for for example, most of the cell type decombolution methods for a used for visium data on they do not take the spatial correlation of cell type distribution to count. And sometimes like the methods used for originally used for all currency card are used on visium like cybersword. Yeah, so among among the opportunities are yeah we can use gene expression to find special regions such and there are the many packages doing that like a base space and the Seattle. But in this workshop will explore a little bit in how selling tissue morphology from the H&E image can. Yeah, can can relate to like gene expression and also. Also, it will explore the spatial characteristics of gene expression like the strength and length scale of special correlation. Here it comes. So geospatial data analysis methods can help us to utilize the spatial information to utilize the opportunities mentioned before and. Probably geospatial data can be classified as a vector or raster. A vector data would represent the world in coordinates like the coordinates of points lines and the coordinates vertices in polygons, whereas raster is kind of like an image. It has pixels and each pixel has has a value. So. And then vector will get also has different types here and these are explained in the website of this workshop and I might not have enough time to explain all of those but here for for for the packages in this workshop we will focus on aerial data where. Aerial vector data where the data is aggregated over areas in space. And this, this type of this common in epidemiology, such as to protect the privacy of the patients. And, yeah, and shown this maps is like a seven day rolling average of Cobra cases and around Seattle as of July the 12th and and then here we see that for say, Visium and for GMX DSP they they also aggregate data on area. And, and the existing well established the analysis tools for these will include as the SF package and the SP depth package. And these are used extensively in both as a fee and wider. So no analogy is perfect. And these are some of the limitations of this geospatial analogy. So for instance. Biological tissues are usually originally 3D but spatial in spatial transcriptomics we usually collect the data only from the thin thin section of that originally three dimensional tissue and. And there may be implications from this procedure while whereas geospatial data analysis methods and the resources that are very focused on 2D. Also, spatial trans transcriptomics data can have like much higher dimensions like we have 20,000 genes and it can also get larger like in some more fish that some more fish data sets. It gets like millions of cells and but meanwhile like you just imagine like how many cities there are in California given close to that. Yeah, because of the size like we may need to make the methods more scalable and maybe we need to do on disk computation and also also very different historical forces operate in the geographical space and in the histological space. So, for example, unlike cities and landscapes, the development structure of some tissues are tightly regulated such as the cerebral cortex. Alright, so that's for the intro and the now let's head over to our studio. Yeah, this is on orchestra. So, um, yeah, let's begin with special feature experiment class at the heart of special feature experiment or as a simple features, which is a standardized way to represent geometries in space. Hold on, why is this not running? Yes, it's on orchestra. So, alright, so yes, here we go. So at the heart of SFE is the simple features. It's a standard. It's a standardized way to represent geometries in space. And in our, we are what give access to simple features with the SF package, which is based on the SF data frame and mostly it behaves like a normal data frame, except that has a special column for for the geometries. So, this is the, this is a schematic of the of the SFE. Yeah, this is schematic of the SFE class. So, if you have worked with single cell experiment or special experiment, then the, then this gray box in the middle will be familiar. So, so here we have, we put the gene cal matrix and like lock normalized count and so on in in essays and you have the cells or vision spots in the columns and the genes or features in the rows. And then we will also have the data for the, for like the cells or spots and for genes and for single cell experiment experiment we will put reduced dimensions like projections of the cells in PCA or tis near you map reduced dims and for spatial experiment we also have spatial chords for the coordinates of the cells or spots and it's also like an image data for an H and E image that can be plotted behind the spots in data visualization here for spatial feature experiment extending spatial experiment. So, so we have added the geometries, which these are safe data frames that can be associated with the cells or spots in the columns and associated with the genes or features in the rows and. So examples of the column geometries will be visit spot polygons or, or for like a SM fish based technologies. But nuclei and cell segmentation polygons. We also have spatial neighborhood graphs associated with the columns and the rows of the gene cal matrix and so here it's implemented as. So here it's still as the list W object as an SP depth is, I know there is, there's like a within the SDE object we have the co pairs and row pairs kind of thing but I'm not using that because list W objects are used in SP depth spatial reg and the 80 special packages for spatial dependency analysis and by using list W here I, we can avoid converting the objects every single time we do analysis. In addition to the rolling column geometries and graphs we, there's another aspect called the annotation geometries and annotation graphs, or shorthand like and geometries. So, basically here, here are geometries that are associated with the data set, but, but do not correspond to the dimensions of the gene cal matrix. So, for example, here, as an example data used in a tutorial, there will be mild fiber segmentations. And also we can have a pathologist annotate the histological regions and tissue boundaries and these can go into annotation geometries and, and then in analog graphs we can have spatial neighborhood graphs for these things. Yeah, so so the text would just explain what those fields are and now we'll load these packages. Yeah, the example data is from the SFV data package. How do we construct an SFV object. So we can do that from scratch, save from a sparse matrix here and call the constructor which, which behaves very similarly to the constructor of SCE and SP like I mean spatial experiment or SP. So as for the geometries, here we already have the special coordinates specified and spot diameter arguments. It's sort of like just for visium so one, because the spot diameters are known and, and by specifying that you can convert the, the spot centroids into polygons. So geometries can be either specified within the constructor like shown here, or, or they can be added later with with the setter functions shown the next section. So, given the popularity of visium data. So, SFV can also directly read in space range output for for visium. It's, it's like a toy example within the spatial experiment package and you see the. So, so that's the count. So that's like the structure and content of the space range output directory. So basically it's very similar to the retin X visium function in spatial experiment, but, but it reads. So after it reads in the data, it will, it will give you the spot polygons. And if you read, if you read the filter data instead of raw data, you can also construct spatial neighborhood graphs. Yeah, it constructed spatial neighborhood graph for the first spots are on tissue and so here what what it looks like when the SFV objects printed so yeah you get all the info from from SP and in addition it prints the which geometries you have and which type of each geometry besides the name. Yes. Yeah, it is needed it's it's here on this website. It should be you should be able to access that from the, from the schedule. Yeah, I think that from the workshops tab in the. But I'm just, I just want to run the code here in our studio. Yeah, and then if you already have an SPE object, then. Yeah, here's just that toy example and you can convert that into into an SFV object, but the caveat is that duplicate duplicate account are not allowed. Yeah, here. So this here will use a small step set of a real data set to demonstrate how you interact with the with the object and how you get and set different fields. Okay, so for for geometries. It's pretty straightforward like for for geometry is associated with the column column of the gene cal matrix use the call geometry function and for. Yes, for for geometry is associated with the rows of gene cal matrix use a row geometry and for the annotations like a tissue boundaries used and not geometry and so here you specify the SFV object and you put a name here. For geometry. So, this is deliberately make similar to reduce stems in in se. Yeah, so here we use the gather to. Why is it doing that again. Oh, I see so. Yeah, I need to download that data set. Yeah, here we go. We used the call geometry getter to get the vision spot polygons and this is what it looks like when the SF data from printed. And this is what it looks like in space. Um, yeah, you can also use the same same like a function arguments. It has a stator. In case you don't already know these names and you can use the call geometry names to to curate the names of the geometries and. So for for certain geometry stuff maybe more commonly use such as a vision spot polygons and like tissue boundaries or hands so you don't have to curate and type in the names over and over again like for vision for vision polygon like you can use like spot poly getter and stator and. So for tissue boundary there is like a tissue boundary function with the getter and stator and this is what this is what the tissue boundary looks like for this toy example. Yeah, and there's a stator. So for for special neighbor for special neighborhood graphs the getter and stator user interface are are very similar to those for for the geometries and so but first we need to we need to find a special neighborhood graph and so here we. The SFP package wraps all the methods for special neighborhood graphs implement implemented in the SP debt package. And here we use in this example we use a triangulation but other methods include can yours neighbors like distance based neighbors like polygon conticued conticuity and there's also like a relative neighbors and sphere of influence and Gabriel neighbors. And this is what the triangulated graph looks like and we know that like for for this. Hexagonal vision grid like these edges are not supposed to be there for vision. It's actually more straightforward to find it to find a graph based on the grid. So so we can use the fine vision graph function to. And here we use the call graph. Stator also has a getter so yeah just like in geometry row geometry. And the geometry so we have call graph row graph and the analog graph here. Yeah, the arguments are all the same. And this is what the what the vision special neighborhood graphs looks like and this is the correct graph. So, yeah, again, you can hear it, the, the getter SFP object in the name of the graph and in case you don't already know a name you can, you can use call graph names to cure the names. So, and so far in, in that example, there's only one sample in the data set. But so in spatial experiment object, there is a special field called sample ID and this is very important because while you may want to put the data from multiple tissue sections into the same as P object for for non spatial analysis such as clustering differential expression dimension reduction so on but. But the spatial coordinate values of the of each spot in those different tissue sections can overlap. So it's very important to keep those different sections or sample separate. And this is actually even more important for SFP because spatial dependence, the special neighborhood graph will only make sense within the same piece of tissue. So here, well, here I will use this toy example. And just to make a SFP object with with two samples to actually it's not complicated. So for the getters and setters for geometry and graphs shown above. There's a sample ID argument, which is optional when there's only one sample in the object but it's mandatory when they're multiple samples and you can actually also put all to get all samples. You can also like change sample IDs with this function and so these are so that that's for object interaction and for operations. So, yeah, we have already done this, you see, there's a step by method to concatenate to SFP objects and you can also subset in the SFP object like a matrix. But, but here's a catch. So if you subset the columns then the then the the node indices in the spatial graphs would no longer be valid. And so there's a drop function to determine what to do with those graphs. And so if tropical screw, then when you remove the columns, then you will get a message telling you that like the those indices are no longer valid and dropping out of all the graphs and if it's false by which is the default, then it will SFP will try to reconstruct those spatial graphs based on the method based on the information recorded when you were constructing it. And then but however, if the reconstruction fails, say if there's an error then you get a warning then the and then ask that failed to reconstruct are dropped. And because we have a spatial information we can also perform geometric operations on the on the SFP object. So, so here we're plotting the visiting spot polygons in front of the tissue boundary polygon. And and we want to subset this SFP object so we only keep the spots are on tissue. So, there's the crop function. So, so you can use a geometry to subset a SFP object. So, so here we use the tissue boundary of this data set. So not only is the genetic metric subset is only spot on tissue that intersect tissue are kept then also the geometry themselves are also subset it. So only the intersection intersections are kept here. In addition, you can, you can also like just do like more conventional kind of cropping with the bounding box. So, you can, you can also perform geometric operations on SFP without actually subset the the object. So, for instance, you can use and a prayer to to get a logical vector indicating whether say like each victim spot intersects the tissue and actually for these operations, even though the default predicate is intersection but any predicate implement in the SF package are supported. So, for instance, you can you can also use say I'm just trying to or like cover or covered by and so on. And here with and pred you can say get a number of nuclei that intersect that intersect each visit spot and and here and that actually performs operation. So you can get a new SF data frame to for the to get a geometries of intersections between each visit spot and the my fibers. And finally, yeah, just like for the SF object, we can get the coordinates of the bounding box of an SFE object that that will consider all the geometries present in this object and so sometimes you may want to move the coordinates so like so they're close close to the origin and you can do that with a space. There's some limitations with SFE so far but the one that I want to emphasize here is the in at least in the first version as a fee does not touch the image data field in the SP package so if you perform geometric operations and it will not change the image. So here we get have some ideas about the SFE object and we can. So, so we can go ahead and perform some analysis based on SFE. So, that's it. So if you have worked with singles are in a stick data then. So if for things like experiment or se, you have, you have packages like scatter scran scuttle like those that can perform some basic analysis and QC and visualization and first throughout throughout throughout not only implement an object but also some basic analysis and visualization and so here for a wider package. We, we aim that a wider to SFE is just like scatter scran and those two se. Even though it's still like a kind of early in development. So that's basically the gist of spatial allocation and much of explorers spatial analysis or USDA will focus on spatial allocation because in many select regression methods the samples are assumed to be independent but that's not the case because of spatial correlation. So here, again, we use the SFN SPDAP packages to explore like a spatial correlation here and load the packages. So this data that comes from it's already published and comes from mouse skeletal muscles and this particular one used here it was collected two days after no tax and injury. And this is the hd hd image of the of this data set. Yeah, and here we see the pink part those are mild fibers and this is the injury site with a lot of local site infiltration and this this thing is the muscle tendon junction. So some QC metrics have already been pre computed here such as the total you might count and counts a number of genes detected for spots and genes or like a portion of mitochondrial counts. My, my, so it's like a logical vector indicating whether each rhythm spot intersects the tissue. And here we will only work on when we work on the spots that they're on that intersect the tissue and we use the scram package to normalize the data and so money annotation geometries we have tissue boundary of my fiber segmentation and nuclei segmentation. Yeah, so maybe yeah, so here with here with geometric operations, we can relate the my fibers to to nuclei. Yeah, we can relate my fibers to the vision spots. So, plus spatial the plus spatial feature functions to go to function to plot like a gene expression and call data call data columns in space. But in addition, they can it can plot like annotation geometries and their attributes alongside like alongside like gene expression or call data and here in the backgrounds, the my fiber polygons and color by their areas and again here we here we see like how many my fibers intersect each vision spot and that can show in space like these. This region will have a larger number of my fibers per spot and there's no one to one mapping between vision spots and my fibers and so if we want to relate attributes of my fibers to gene expression and then we made to summarize those attributes. So for instance here we will will average the area of each my fiber intersect intersecting each vision spot. And that can be a plot in space so so we see that this region will have tend to have like larger my fibers and those great spots are those that do not intersect any my fiber. Yeah, here, here comes to gene expression. So these are marker genes for for different types of my fibers and so here we will try to plot like a different assays will plot the rock count and the lock normalized counts side by side in space and Yeah, so this is a fast twitch muscle so we don't expect to see many slow twitch type one mile fibers indeed there aren't that many and this is this is for type two my type two a mile fibers and so for those interested in this in orchestra can change the code to like type to be or type to X. Also like because the SFV object in inherits from SC and so all the non spatial EDA plots from scatter can still be used. So for instance here we plot them here the mean my fiber area per spot and here's the proportion of mitochondria counts and we see that the spots expressed in the marker for type two a fibers tend to have smaller area and larger proportion of mitochondria and Yeah, and for then we'll proceed to speech all according to analysis like a more insight here we see and that will require special number of graphs and here. Yeah, so so here's the vision graph. And that's what it looks like. Yeah, and here for for a mile fiber, it's the it's polygon continuity so there's only an edge if the if two mile fibers touch. Yeah, then so in the first version of Voyager, we only support univariate global spatial correlation methods so univariate just say one gene at a time and global means you get one value for for for entire for data data set. And to demonstrate the analysis on gene expression we just use small number of top. So more in size the most commonly used spatial correlation metric and so so here in the form in the mathematical form it kind of looks like a Pearson correlation between the value each at each spot and and their neighbors on the spatial graph and also like just like Pearson correlation it takes the value between negative one and one so for positive spatial correlation. It's like nearby spots are more similar than it's above zero and yet positive them for negative spatial correlation it's kind of like checkered pattern it's more in size will be negative. So, this can be computed for directing for matrices, or for a numeric column in in call data or real data. It can also be done for for attributes in animal geometry and call geometry. So for for call data the results are stored in the field called called feature data and for for geometries it's an attribute of those geometries like it's called feature data and so for gene expression. The results are stored in real data. And if you want a computer for like a large number of genes you this we use bio C parallel for parallel programming. Here is the is like another special allocation method and so so basically just change the function name like more as I changed into Gary see and then the arguments are the same. So, actually for all the other univariate global methods, the arguments are the same and you just change the function name will accept when the specific method will require additional arguments and then here we can even perform permutation testing to see if to see if the more is significant and the can be plotted. So these are the simulation. These are like the permuted values and then hit and these are the these are like the actual values and very significant for encountering genes and with correlogram we can see the land scales of of spatial correlation and can be done for more inside and Gary see here just two genes and can be plotted here and Yeah, not only shows the land scale to decay but also sometimes you may see second order neighbors have like higher higher values in the first order because there there's some like negative spatial correlation in some regions of the tissue. And then finally we have the there's more scatter plot. So, in the x axis, it's the value at each vision spot and in the y axis is the average of the average value of the neighbors of this and and there's actually a proof from 1995 that it shows that the slope of the line filter to this plot is more inside. And sometimes we see. Yeah, so sometimes we see clusters in these. This kind of plot and sometimes it's actually more interesting this. Yeah, and we can be in the clusters and uses the bluster package on bio conductor and you can plot on like the one scatter plot and this falls in space to sort of sort of like a C. So I see different special regions because of like kind of different kinds of neighbors in terms of value so. Yeah, so so that's the that's the the existing functionalities wider and so there's some limitations like because yeah I just mentioned that a special spatial transcriptomics data can have very high dimensions and all the more important to to support more of various functionalities. And we do plan to do that in future versions and echo we can support a geographically weighted PCA and also like a spatially. Like multi spat PCA as an implementing like a special and also the for now the planning functions don't plot the H&E image in the background and because yeah Jim SF it might be more tricky to implement and it's also makes it also more tricky flip it a lot axes and yeah finally only to dimension our presence so our support so all right so yeah then acknowledgement so thank you for thank you for coming and I will thank everyone in our lab and especially your Laura telling Christian Astina for for feedback on this project and the presentation and also thank directly the the author of spatial experiment for some discussions or thank you quite now can take questions. Okay, we are supposed to end but we actually have a half an hour break for our next one so we can take a few questions in here. That was really great. Thanks. Can I just ask right at the end that you you were saying clustering on like regions of more and I score for a neighborhood analysis. Did I interpret that correctly. I'm not really okay I was kind of in a rush so it's a it's a more in scatter plot. But then after that. It's the same cluster it's cluster on those are clusters on this plot. So it just kind of shows like the different kinds of like neighborhoods it's kind of like a second order thing. That's a really cool idea. Thank you. But the problem is like you can only do for like one gene at a time so it's nobody wants to do that for like 20,000 genes. So that's like a critical limitation so far. See the ones from online. Okay, so from Niels Ealing are call graphs, some similar to call pairs, meaning that they are being reconstructed upon sub setting. Yes. When they're reconstructed they are they reconstruct using the like the subset of the columns so. Yes. And then another one from Ryan Thompson. So are these polygons actually polygonal approximations of circles. For vision. Yes. Actually, you can you can look at the documentation of ST buffer function in in the SF package to to see the parameters and doing so, like how many I just do used to approximate. Another one from Pratipa. Can we use brands I or other statistics if there is a spatial trend non stationary and and I saw and I saw trophy seems differential spatial seems differential spatial and different in different dependency. Well, I can once I that will only be a beginning so any sort of it really is a problem here and we plan to add like a. Like a say. Like a program map like in different direction to to visualize and start to be and. Yes, but so far like one side it only it just considers the neighbors on the spatial graph in all directions or does not take into account. And start to be and. Yeah, at present. Yeah, we also, well, maybe can spot like a special trend when you're plotting some values in space but. But in the 1st version of Voyager, like it does not really like formally. That you like explore that, but I think in the future I also plan to like put some functionalities of spatial reg package here and that in the future version of it might be supported. Another 1 from May woods great workshop. Thanks. 1 of the limitations listed is the 2d geometry. Do you think the geometry could be extended to 3d to analyze multiple tissue slices. Ideally, yes, but I think it's actually more complicated. Well, actually, as simple features, it does support 3d data, but. But here the, I think the complication actually comes from the resolution, the resolution different directions that for for usually the X and Y resolution X and Y have much higher resolution and Z and. So, I'm still not sure how if the dimension should be treated differently or so. So, I think short answer is technically yes, but long answer is it's a bit more complicated. Any other questions from the room. Online. Thanks lambda for the great print worship. So. Are the spots the actual size, because I know that was 1 of the parameters when you're for your constructor function. Because later on I saw you have this function for counting the number of nuclei based on a segmentation mass you had. So, yeah, it is. So in space range output you have like a scale factor Jason file and that will. So that file has like a feel like which is basically the spot diameter in the. In pixels in the for resolution image and that's why I used here and. But meal like the exact exact location of the edges of the spot might depend miles depend on how you align the tissue on the slide so it's actually not like 100% sure like how accurate that is but police like quality of his speaking I think it gives you some information. So like the 0.7 parameter value. So that's just toy example so that that's not from that's not like meaningful and it's just used for demonstration. Well, because I feel like some of your later plots invite why is your. You mentioned like one of the limitations is that you cannot show the h&e scene. You're actually just plotting the spots with like some continuous metrics so you could have used other functions for that right now. Or am I missing an extra layer that. Well, that you have right now that the other functions. Well, so for that particular graph, for instance, actually the implementation that this possible feature function. It actually it's quite complicated because number 1 I have to deal with. I have to deal with the sample ID so. The sample ID can can be plot plotting like different facets and number 2 like how do I plot. How do I plot say gene expression on visit spots alongside like an annotation geometry and also like a when you when you want to color by like a both gene expression and like an attribute of annotation geometry than like a. I'll have to use like the GG new scale package to one different colors so you can tell them apart and also I think another one is the palette. But just now that's. So these are the default palettes for the continuous. Continuous variables just. Anyway. So so gene expression shown blue and the annotations are shown red and so that that's the default action here just let me know if you don't like it but for categorical variables the default palettes the default palettes from little seek so to make sure that it's color blind friendly. Awesome. Yeah, thank you. So, like, the part about the neighbors I feel like that could be really useful for QC, because sometimes you can find like a spot that feels a QC metric and so now I don't know there's a. Easy function to say like give me all the neighbors to the spots that fail like something. Right. So far. Well, yeah, you'll have to like directly interact with the list W object and it's a, it's basically within list of the object like to get some technical details. There's a, so it has a, it's an S3 object and has a field called neighbors and a British spelling with the you and you get that's a list of like a. Like, who are the neighbors of each spot and then from that you can you can carry like who are the neighbors of the like outlier spot but but so far there isn't like a easy function to do. So maybe so thank you for feedback I might implement that. Yeah, because I know like this is one of the, you don't want to compute a distance matrix that's like memory and blow up quite easily when you have a lot of samples. Right. I know this happens with base base. I mean, yeah, we can talk more about yeah. Yeah, so like I so far I don't really have a I don't know like what really is the best practice for the spatial neighborhood graph so yeah just to make it possible to do it like a bunch of different methods with SP depth but but I cannot tell you like which was the best. Right well join me in thanking lambda again for a wonderful talk. Demo of her package and I guess we have a little bit extra time the next workshop sets will start at 330.


Ben, thanks for taking the time to speak so just tell us a little bit about what's going on here this evening. OK, we're here today to launch the Everyone Together campaign. That's to celebrate diversity, to tackle prejudice and to promote understanding. We've got 16 portraits to kick off the campaign featuring 22 supporters with really unique stories and throughout the season we want to tell those stories and share them because they're really fascinating, they're interesting people. And I think I hope everyone that sees the campaign will enjoy them. And Ben, the guys who are featuring in these posters around Vitality Stadium have been invited down to the stadium this evening. Yeah, so we invited these people in because they've got a fantastic story. When we initially invited them we said we wanted them to be part of the photography campaign. So they've come in, they've been photographed by a club photographer and our head of design has done a great job with photos themselves. We did a little bit of a sort of a mind mapping exercise so to speak. Each of them coming up with a word that can go after we are, that comes from them. And this is the first time that these people have come and actually seen how the photos looks. So, yeah, it's been really powerful actually to see the emotions and the reactions to seeing the photos and it sort of gets bigger and bigger when you go from the A3s to the large display outside in the concourse. Gaffa, everyone together just epitomizes what we're all about as a football club. Yeah, I mean a really special part of the day for me, I mean to come here and share some time with supporters that have given so much to the football club and a really special campaign. It does go to show what we stand for really and it's that inclusion for everybody, being one team, one family, all fighting with each other. You can see so many smiles on so many faces as well this evening. It's been brilliant and you've got so many different perspectives here. You've got young kids who have had a difficult time. You've got the older generation that have supported the club all their lives. So it's been a really nice mix to share different stories. It goes to show how special this club is.


How often do you see a successful man happy? Or better yet, satisfied? Business minds are always striving for more, running after material benefits. What they really need is a balance. Hi guys, this is Asha Singhal and here are 4 ways you can master happiness and success together. While technology has become a crucial part of our lives, it sure is hindering the personal connect we once cherished. Here's the deal, limit your web access and pay attention to your surroundings when you are at a social or family gathering. You'll see the difference. If you aren't enjoying the process of what you are doing, you are doing it wrong. We often hear people say that they work to live, which isn't right. In Richard Branson's words, you should live to work, because work is fun and enjoyable. Too tied up to go out and play, take a hobby. It could be golf, skiing, hiking, anything that pushes you to go out and take a breather. Never be afraid to try new ideas if it interests you. Push your boundaries and get over that flicker of doubt you once had. Because all good things start with uncertainty.


The greatest challenge that a teacher faces is marking. Through my social media research, on my travels, visiting schools all across the UK, the greatest burden is marking and assessment. And that's supported by research by the Department for Education. One quick fix is to simply banish the word marking and replace it with feedback. That's a great idea simply because I can give a child feedback in many ways. I can provide verbal feedback, written feedback or even non-verbal feedback. One of the greatest challenges that teachers face, particularly new teachers to the profession, is the burden of lesson planning. With 25 hours of teaching every week, to try and plan to meet the needs of all 30 pupils is a very difficult challenge. If we look at curriculum reform, if you're tweaking the curriculum, coming up with new ideas to better meet the needs of pupils, then experienced teachers also have to revisit all their schemes of work and the resources to then adapt those to meet the needs of their pupils. As we get more immersed with research, with cognitive science, we obviously need to help teachers get better planned in terms of meeting students' needs.


Here we are in our QuickBooks online test company file. We started up in a prior presentation. Remembering we're in the accountant view as opposed to the business view you can toggle between the two views by going to the cog up top and switching the view down below. We're gonna duplicate some tabs to put reports in by right-clicking the tab up top to duplicate, right-clicking the tab up top again to duplicate again, back to the tab to the middle, reports on the left-hand side. We wanna open up the balance sheet as that's thinking tab to the right, reports on the left, this time the profit and loss. Closing the hand boogie, changing the range. We wanna go from 010125 to 06325. I wanna see it on a month by month, side by side for the month by month and run it. That's what we have thus far. Tapping to the left, we're gonna close the hand boogie, changing the range in 010125 to 06325 and let's see this by a classes breaking out. We want a classy report. A lot of class happening here. Okay, then we're gonna go to the first tab. We're gonna then go down to the projects on the left-hand side and let's go into the projects. So we're within the projects. So let's recap what we've done thus far in our Excel worksheet because it's a little bit easier to tell the story. So we started with an estimate. We gave out the estimate. Total of the estimate was a 100,000. When the job was accepted, we wanted a $10,000 down payment. So we didn't record revenue, but build the client for the 10,000. And then we recorded expenses for the month of operation that actually started on month two. And these were actual expenses that we recorded. We recorded expenses for month number three and we recorded the related revenue, not in alignment with our billing structure, but rather in alignment with the percentage completion concept that we did with this calculation here. And then on month number three, we did the same thing. We basically calculated our actual expenses and then we had this percentage of completion. And now we wanna be calculating or recording the revenue. So let's just recap. By the way, I did not record this last bit in our Excel worksheet, although we did do it in QuickBooks. So we'll record that here now when we did the work here. And we'll record that on, I'm gonna say 331. And it's gonna be cost of goods sold for all the stuff that we did, material, labor, overhead, I'm gonna put into cost of goods sold for the 19 total, 19, 527. The other side, let's add some more blue space. I'm gonna need some more blue spaces. And let's just add one more for now. And then we'll add some more after, after, after. Okay, and then the other side's going to cost of goods sold, we just paid cash. Cash went out the door for it to get it done. All right, and then if I record that over here, I'm just gonna say cost of goods sold is right here. I'm gonna say F2 plus F2, F2. And that's gonna be 19, 527. And then the checking F2 plus F2. And there we go. And so now we're back in balance. And notice here, when I do this in like a little worksheet format, we can only see this, we can't break it out by month. So that's why in QuickBooks, it's nice that we have this revenue that can be broken out over here on a month by month. So we kind of add a dimension in like the database program, the total still coming out to the 16, 15, 621 for that timeframe that we could see in our little worksheet, 15, but it gives us some more dimensions in QuickBooks, although it adds complexity to do so because we have to deal with these forms and whatnot in order to calculate these journal entries. All right, so now we're gonna recognize the revenue. So I recorded this on our side. If I go to this first tab and we look at these, the costs, for example, as we can go into the costs of goods sold and we had these expenses that we entered. And when I entered this expense item, I made it billable. Now, when I say billable and I did a 30% markup, we're not gonna actually give the bill to the client because we're billing the client based on our billing structure here that we came up with in accordance with our estimate. So, but we are gonna make it billable so that we can then record the revenue with an invoice because the invoice is typically the form used to record revenue. So, now we're gonna pull this into an invoice not so we can give it to the client but so we can record the revenue in our QuickBooks system. So let's go back to our projects, project number two, close the hand buggy, and then I'm gonna say we're just gonna make an invoice and the invoice is not gonna come from the estimate because that's what I'm using when I actually want to give the invoice to the client but rather I'm gonna pull in these billable items which is gonna help me to calculate the actual revenue on a percentage of completion kind of concept. So if I go through this thing here and say, okay, that's good and this is gonna happen on, we'll say 331, okay. And so now it pulled in the materials, labor and overhead and put it into, and then it did the markup over here and so that looks good. Now the invoice is typically going to be increasing the accounts receivable and the other side is gonna be assigned by these line items revenue. For our purposes, what do we want to have happen? We want the revenue to be going up but we want the other side to go to work and process. So if I see that on this side on our Excel sheet we're gonna, let's do this on our Excel sheet. So I had my 19.527, the percent completion is that divided by my total estimated cost, not including the markup that I'm gonna say here and then we're gonna say if I multiply that percent times the total revenue, then the revenue that I should be recognizing related to that cost should be 25385. So if I was to do a journal entry down here, let's add a little bit more blue so I can do it and then we'll make another area to enter because I'm getting too far down but one more transactions down here, just one more. 331, we're gonna say I'm gonna put the revenue on top even though it's a credit because that's the first thing I think about, right? So I'm gonna say the revenue is a credit of that 19, of not 19 of the 25385 and then the other side, I don't want it going to accounts receivable but rather work and process which is easy to do from a journal entry standpoint but we have to do a little bit more funagling, a little bit more funessing on the QuickBooks side if I wanna use an invoice instead of a journal entry which I do and so that's what we will do. So let's go back up top and record this. I'm gonna go into the revenue, say F2 plus F2 and go down 25385 and the other side was going to work and process the WIP account, F2 plus F2 and work and process, boom. So that puts us back in balance here. That's what we'd want to do.


And I know the training was short, I know it was intense, and I know some of you did not think that you were ready for this morning. But let me tell you, you are all stars now, and everybody will be looking at you for future political leadership, because you showed that you have that ability. There were a few of you that were outstanding. I saw the nerves, but I also heard what you were saying, and I was following on Facebook and seeing all of the comments that were coming in. So you did great. Congratulate yourself and be proud of yourself. I would now like to call on the Honorable Claudius Francis, the Speaker of the House of the Parliament of St. Lucia, to offer a few congratulatory remarks to all of you. Thank you, Karen. Today is indeed historic. I've known Karen many, many, many years. This is the first time she has ever referred to me as Honorable Claudius Francis. That's absolutely historical. So thank you very much, Karen.  Parlamericas is really the short acronym for the Parliaments of the Americas, the United States, Latin, Central, and South America. I am fortunate enough to not just be a member of Parlamericas, I happen to be on the Executive Board of Parlamericas, so we were really happy to have our YWIL chapter in St. Lucia on the Karen's tutelage to bring this seminar forward. And as you said, today is just the culmination. Today, most people have seen you here and figured, as they say colloquially, you just come down, and you're in that. But it's really the culmination of weeks of training, questions, answers, doubts being erased. Today was just the day. And I was telling the Prime Minister, not just today, I told her that today, but I've told her that before, people who watch Parliament on television say, well, I can do that too, you know? But not just being seated in those seats is something else. These are the seats where laws are made that affect every one of you here and every one of the 180,000 or 90,000 solutions. These 17 people that sit here in these 17 chairs decide for five years at least to define your future. So next month, we'll be passing laws saying that if defining who I am, the minimum sentence you're getting is 10 years, these 17 people will decide that. So I don't want you to take this experience lightly. I want you to always remember this. I've spoken to parliamentarians who were in office for 15 years and they're no longer here. And they tell me they miss not the debates in it, just the thrill of sitting in these chairs. Because sitting here, you project some power, some authority. And that is what this was intended to do. As Karen said, to let you know that each and every one of you can be the real deal. This is a trial run. And we are hoping that in the not the distant future we will actually see some of you here in the real thing. And people laughed. You know, there was a time when the NYC was formed in the 1980s with Mario Michelle as its first president. If I tell you how many NYC members have now sat in these chairs from Mario himself, who he was the person who rose the highest in the deputy prime minister. And Ernest Hilaire has now equaled him. We have had people like Edward Innocent, Oliver Baptiste. And so many of them came from the NYC. We want to see the same thing happen to Wyver. We are proud as we stand here now, the elections in Grenada last week, only one female won. One. We are happy in this parliament that 66% of the composition of the Senate is women. 66%. So there are twice as many women in the Senate as there are men. So we are very proud of that. And we want to see more in the House as well. We only have two. That didn't mean only two run. More than two did go up, but only two were victorious. But we want to see many more of you victorious. But don't put any barriers on yourselves. The only limits are those you set on yourself. The prime minister has been very hard on herself a little while ago.  And she was not there when I spoke with you. I thought you were all very good. And talk about history. Objection, heresy. Not even the real parliament has had a member participate virtually. You all did it today.  We are trying as we speak now to make the parliament paperless. So we have given, good to see the House of Assembly, every member of the House has been given a tablet. So as we progress, we'll kill less trees to make less paper so we can use the tablets as part of the, although I must tell you, walking into parliament with a file in your hand feels real good. Feels really, really good as opposed to just your hand swinging or a tablet alone. So there is that balance. But thank you very much for creating some history in San Dusha and Karen, you don't have to wait for another while or Palamerica's inspired seminar for us to do this. We can have this as an annual affair. So long. I can't speak for other presiding officers, but so long as I'm the presiding officer, I can assure you that we can do this on an annual basis. So thank you very much to all of you. You all have made us proud. I trust the Senate will follow suit in about an hour and a half time. But thank you very much and congratulations, all of you. Thank you, Mr. Speaker. You know that we, Civil San Dusha will be taking you up on that offer. Definitely, most definitely. So we're quickly coming to the end of our little ceremony and I just want to make sure that I say thanks to, when we do things like that, the supporters is critical and I know for all of you seated here around this table that you would have had the support of your friends and family and I know that you bothered them even more than you bothered us. And so I want to say thank you to the families and friends of all of you on your behalf who tolerated you for the last how many weeks because I know what the journey was. I was there with you. I know what the journey was. I also want to take a little time just to thank some corporate organizations who came on board with support flow, who helped us with some of our participants with data packages and other devices. PCD, Ms. Jasmine O'Geese-Henry, I need to mention you really specifically and specially and say thank you. I think you went over and above to make sure that we were accommodated with so many requests and PCD, we can't thank you enough for the support that you have given us. Blue waters and of course raise your voice who is always willing to help with anything pertaining to women and women's issues in St. Lucia. I listened to some of you here today and so many issues came up that were so pertinent Let me tell you, Madam Leader of the Opposition, the issues that you spoke to are issues dear to my heart. I have been speaking about it for a while. I actually have like a personal charity drive that I do every year based on exactly that where I get toiletries and that to distribute to various communities of ladies and young ladies and young mothers, vulnerable who cannot, really cannot. I think sometimes that's one of the little things. It's a huge thing for us as women. It's a little thing in the scope of everybody's daily lives and we do not understand the significance, the importance. I don't even know what the other word is that I can attach to just that little area of our lives that really dominates our lives. So thank you so much for raising the issue of sanitary products and how important it is in the life of a woman. I think that our ministers were listening and actually heard that plea and that we will see very soon a motion brought into this very house by our parliamentarians to ask that that taxes be removed not only on sanitary napkins and sanitary items but also on, I'm not sure if it has already been done on disposable diapers. I'm not sure. I remember as well that that was one of the issues. So along the way, we met a lot of characters. We met a lot of ministers. We met a lot of support people from the government of St. Lucia and I'm sure you will all help me welcome the deputy speaker of the House of Parliament. Do you all remember him? He's always there. He spent almost the whole of Friday with us whilst we were doing our drier than helping. All of us. So we just want to present you with some certificates to tell you that we know that the journey was a little tough and it is something that you will have to keep to show that you actually participated in this historic moment in St. Lucia. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. So I will call your name. We will be in books down below. I don't know. Maybe... Ambosantros is not here with us. You heard the speaker said we've created history. Ambo was one of those joining us virtually actually spoken about in the chat on the government website where somebody said, well now our parliamentarians have no excuse not to present in parliament again, if the ladies can present virtually, so can they wherever they go, they can look after the business of the state. So Honourable Speaker, you have a challenge, okay? No. It wasn't my fault, yeah? No, it wasn't. Why? The speaker is not here. Ms. Annie Sam. She's coming to your back. Krishna Alexander. Krishna Alexander, our Sergeant of Arms this morning. Did a fantastic job. You don't agree? Even a move in our election all around the place. Yeah, we always have to tell her to smile. Gabrielle Elly and you will also be received a token from PCD Limited. Yes? Aye, aye, aye. We give you the name. Indira Tusser, our leader of the opposition. Yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah. Ms. Jemaya Thomas also joined us virtually. So, Jemaya and Amber joining us virtually. Kershel Roland, Kimaya Popo. No, no, no, no, no. Bimbo from Babylon is special. Melody Fere, Honourable Prime Minister, Monique Ogis. You know that. We've had other failures, but yes, Nikia Flavius. I can never pronounce that. It's Nikia, yes, our class. Nikia, our class. Okay, Sharon. Ms. Daniel, you need to pronounce your first name for me again. I'm not biting my tongue. Ms. Cicat. You see that? Ms. Cicat. Ms. Cicat, Daniel. And if you were wondering about her quaint accent, she is of African descent. Yes, yes. So that would have accounted for her quaint accent with us. Our speaker, didn't you think that the speaker did a fantastic job? Ms. Tinef Shanton, amazing. Yes. You should have seen the comments on the chat when this young lady was speaking. Yes. Ms. Shashamani Shalman. I'm blessing you. I'm so proud of Shashamani. Smile, sir. Smile. Cherries John. Cherries John. Tysia Paul. Venetia Dennis. And Zoya Francois. Zoya Francois. That's all the entire process here. Hello. Thank you so very much. Thank you so very much. Hello, good afternoon. Thank you for you. You know, there are two people watching online, following us online. You have met them a number of times online. And you met Dili in person when we did our one-day workshop in Irish. I want to say thank you so much. Putting something like this together is a challenge. Putting something like this together and coordinating it when you are off-island can be even more of a challenge. But the virtual space has given us the opportunity to be able to do this. And so let's just give Dili an eilish. I say thank you. And Tessa, who is downstairs, still downstairs somewhere, taking care of us as she has been doing from the beginning of the program. Thank you so much, young ladies. Like the Honorable Speaker said, I hope this is not the end of the journey for you. It has been an exciting couple of few weeks for training. Sewell St. Lucia is here to assist and help, to help you develop. You can get in touch with us. We are online on all of the social media things. Just look for Sewell St. Lucia. You will find us. All look for Sewell Regional and you will find us there as well. Okay. Thank you again so very much. I am just an entertainer of the world for carrying this light. It will be not something to be ordinary. Thank you very much for everything you do. And we hope you will have a say on this. Thank you. Let me just acknowledge the presence of Senator Alvina Reynolds. Yes, senior. Yes, senior. Senator Reynolds, of course, has served as a government minister. Senator Eisen is an avid supporter of women's issues and a community activist. Always, always keeping the female agenda alive and well. So thank you so much. It's so nice to see you here with us this morning. Thank you ladies. Thank you so much to the friends and family in the gallery who joined us this morning. Thanks for the support. You have come to the end of your journey. I know you want to sit in the park in the chamber and not go anywhere. That's an interruption. Yes, yes. I agree. That's an interruption because we will continue the journey and I hope that I live to see some of you sitting in this very chamber at some point in time soon. I know you're thinking that you're too young but you're not too young to start on that level. Okay. Thank you ladies. Thank you so much. Make sure you all give your own honorable Jerry Mayer. All right. I'm going to take myself out of that.


Hey guys, this is Melissa here with Oxmore Auto Group. Today I'm out here at Oxmore Toyota with Chuck Schuman to go over a couple of details on the highly anticipated 2019 RAV4 Hybrid XSE. So Chuck, what can you tell us about this vehicle? Very excited about this vehicle, completely redesigned. They've had a hybrid RAV4 before but nothing like this. So it's the whole new body on the whole new TNGA platform, smoother ride, more rigid ride. It's fantastic. This vehicle has Toyota Safety Sense P. So you've got a multi-millimeter wave radar here and you've got an in-dash camera. Now this is the 2.0 version. So in addition to pre-collision, lane departure, dynamic radar cruise control, auto high beams, you're also getting lane tracing assist where it'll actually steer for you a little bit on the highway, like you'll feel it in the steering wheel, it'll guide you along when you're in dynamic radar cruise control. Also has road sign detection. So you can actually see the road signs up ahead and tell you if you're over the speed limit violating one of the road sign rules. The really cool safety features that's standard on every trim of the RAV4 in 2019. But the other updates of this, so this is the first hybrid that we've had on a lot, one of the first in the region. And it's the XSE and the styling on this is just ridiculous. We've had to shoot people away because everybody's coming to look. So you see you've got the black here on the fender and this follows around. You've got the black accents here on the fog light, the fenders here, the tires have black wheels, the side view mirrors. The roof is black. You've got the low profile side rails up there that you can put crossbars or it's also black. The rocker panel down here back to the fender. It's like somebody took a sharpie and kind of traced the outside of this.  The black accent here on the tail light in the four of the RAV4 logo, the shark fin at the top and then on the back bumper back here. And you'll also notice this has the dual exhaust back here. This is a performance vehicle. It's a hybrid. 40 miles to the gallon, which is 10 more miles per gallon than the fuel one. But also this has 219 horsepower. The fuel version of this actually has 203. So this has more horsepower, better fuel efficiency. This is a performance vehicle. And there's different trivetrains on this too. Real quick point out how stylish this looks. You look at those seats there with the blue accents. This is a power heated adjustable seat, adjustable seat. But the performance, again, you have different drive modes. You can force this into EV, where it's going to go all battery. It limits your speed and the distance. But it can be completely quiet if you need to sneak up on somebody. You can sneak in if you're a teenager coming home late or something like that. There's also a trail mode on this.  When you're on a trail and you're in this thing, if one of the wheels comes up and it doesn't have traction, they'll actually stop sending power to that wheel and can convert that power to the other tires to give you maximum traction. It controls the way the car throttles and shifts. The trail mode is a fantastic thing. This thing is capable off-road. It's a performance vehicle. It gets you great gas mileage. I don't know why you'd want anything else. Awesome. Well, thanks so much. I'm not done. No, I'm done. This thing's fantastic. Sorry, go ahead. All right, so some really cool features on these really exciting, brand new hybrids. If you guys have any questions for us, let us know at oxmortoyota.com or you can give us a call at<PHONE_NUMBER>. Thanks so much. Bye, guys.