Welcome folks, this is Tom O'Brien of TFNN.  You focus on growth so everyone's having a great day, safe day, September 15th, man, you're gonna love it. It's making a great night and a great week. Be impeccable with your word. Replace fear with love. This is a great card, folks.  When you're impeccable with your word, your mind is no longer a fertile ground for the words that come from fear. Your mind is only a fertile for the words that come from love. Knock it wise, let's take a look at it out here. We have the Dow Industrial's up by 218, ASIC up 112, S&P's up 33. Gold, gold contract out $13.90 traded at $17.93 an ounce. You get silvered out at 9 cents, $23.79 an ounce. Late sweet crude, up 220, $72.66 a barrel, notes and bonds. The 10-year note, down 7 ticks, trade at 133.12, 30 a year for half a point, off 15 ticks at 163.27 and King dollar. King dollar's down 66 ticks, trade at 92.557, Euro 118, yen 109.43 and the British pound at 138 to one US dollar. iPhone number's 877, 9276648. Give us a call folks, wanna know what's going on in your world and the world of the S&P's. Let's take a look at them, what do you have? We take a look at the spy out here.  We didn't get to the low of yesterday. This is kind of intriguing, but the bottom line is that you got down to a price point of 443.44 today. And that baby that's going right into where we went top side on the 23rd. Now we went top side on the 23rd with 54 million folks. We're gonna do more than that. So this roll was still on downtown. That's the bottom line. That's how I read this. NDX 100, same type of setup inside the NDX. It looks to me like the NDX is gonna get the volume today. You got a rejection of lower price thus far, but it looks to me if you get 34 million than what you actually have is that you got a lower low with volume. That's saying you're gonna be right back down there. Now it's a little clearer of what the NDX or the three Q's have actually done here. They got down to a price point of 373.37. Well, the high of its strength is 373.93. So you get down close to that high rejected lower price bottom line. It's gonna be the same type of setup though. If we get 34 million or more, that's saying you have a lower low with volume saying it wants lower price. We're gonna take a look at the small caps inside the IWM. What do we have with the IWM? The IWM out here, you get a bounce. Now it's 17.9 million. This is a light bounce, man. That's gonna be intriguing with the small caps because the small caps, you have the commodity stocks in the small caps and that's when they do catch a bid. They're a big bid. That's what we did have happen when you take a look at this back on the September 27th. I mean August 27th. That being said, we're still sticking out like a sore thumb of these two high volume lows. You get a high volume low at 208 as well as 209. So it might take particularly how this is bouncing today. See that the small caps are bouncing with tremendously lighter volume today. That sets up lower prices coming at you. Notes and bonds. We take a look at the note and bond market. You're gonna see the note and bond market. You're pulling back with tremendously lighter volume. We did, I think it's 1.5 or 1.7 yesterday, let me see. We're down today on 1.2 million contracts. And yeah, 1.553. This one's higher price. That went up at 1.553 and back at 1.2. We gotta take a look at the 30 year. Now the 30 year really had some action. The 30 year actually had taken its nose and jumped above the whole consolidation it was in yesterday. And it pulled back today. So today we're coming back with 3.25, 225,000 contracts. Yeah, still, it went up yesterday with 4.93. They want higher price. Good ol' king dollar. What do we have a king dollar out here? This one is gonna get really intriguing because today it's just a toss up, man. What you had yesterday is that you rejected lower price at 92, 300s. You go higher to, well, you didn't go higher today. You went sideways today. You get a sideways move like this. It's like okay, you're gonna go for the high of Tuesday first, reversal of the low and bottom line, it's not giving us much information. That's the real bottom line. Let's go over to the Euro and take a look at the Euro. So the way the Euro is set up, yeah, Euro looks like it wants a little bit lower price. So that would be saying that it'd be higher for the dollar. We gotta take a look at the German pound. When I say lower price here, let me give you the lower price too, because that's what made it basically, this is interesting too, because this is what, now the dollar should be up a lot more. Oh, I see what's happening. Oh, I had the wrong one up interesting. So the Euro is actually up, but that's still sideways. So the Euro sideways, 118. We take a look at the British pound. The pound's up also. Now the pound was higher price. Looking at the pound, that's telling me they want higher price. They're tossed up on the Euro right now. The yen, we take a look at the yen. Oh, this is good for the gold market. The yen broke. So we broke lower in the end. We went to 109.11. You're at 109.41, but that sets up, that sets up a swing of 108.72. Yeah, this yen broke pretty good last night. Let me go take a look at the Nikkei. So the Nikkei, all of Asia was down last night. Nikkei, it wasn't down bad, 158. Whoa, that being said, it's wild as if you take a look at this patent up here though.  Okay, so let's see. Yeah, that'd be right, that's in real time. So this patent here, folks, if you're into candlesticks, trotting, this is a very hard patent to do. This is a Tristadoji.  And that's a Tristadoji, man. If the Nikkei goes down at all tonight, that is a signal that the Nikkei is gonna go all the way back down to the lower end of consolidation, which would be a total mind-blower. That is some serious business inside the Nikkei right now. Dow, Dow industrials are up 251 now, except 119, S&P's up 37. Stay right there, folks, come right back.


From washing machines to coffee machines, screens are everywhere. The reason is simple. A graphic interface improves the user experience so much. And we at ST have been driving this revolution by enabling smartphone-like UI on cost-effective microcontrollers. That's why today I'm so excited to talk to you about the STM32 U5 G9 and STM32 U5 F9, which embed all resources, IP, and processing power to enable cutting-edge graphics in a solution that decrease additional external memory needs. How is that possible? How do you get better graphics but use less memory? Well, let me tell you about our newest GPU, the Neocone VG GPU. Neocone VG GPU is the first hardware IP to accelerate vector graphics on STM32 MCUs. Developers can now use vector fonts or draw vector graphics on an MCU with an embedded memory without a big performance penalty. And since vector graphics takes a lot less space than bitmaps, it reduces memory requirements. Imagine this. Thanks to Neocone VG GPU, a UI can feature multiple fonts or draw the same asset many times. And in various dimensions, without overloading the embedded 4-megabyte dual-band flash, unlike what happened with bitmaps. I was blown away when I saw that in our internal benchmarks. Rendering a true-type phone with the ST vector graphic accelerator is so much faster than without the GPU. Moreover, the new U5 G9 and U5 F9 feature 3-megabyte of RAM can store a dual-frame buffer. That means you can display rich, modern, and beautiful UI and videos in a large resolution. I can't begin to tell you how thorough I've been to see industry adopt our new technologies. Thanks to the new STM32 U5 G9 and STM32 U5 F9, some of our customers moved to a single-trip design because it no longer required external memory. Additionally, the U5 G9 and U5 F9 are so easy to implement that engineers can use a simple two-layer PCB when choosing an LQFP 100 package. ST even featured a two-layer PCB in a working demo of a home appliance HMI. And I saw customers adopt such a design. The world of appliances and industrial applications craves for both UIs and easier implementations. It's amazing to see so many of you finally find the solutions you have been looking for. Finally, depending on your application, you can choose between the U5 G9 and U5 F9. If you have greater security requirements, the U5 G9 features a cripple engine and targets a system level 3 certification. But what about embedded systems? That needs outrageous amount of flash and computational power. Let's check out our high-performance MCUs, the STM32 H7 series.


So what I need to start with is I need three players on each mannequin.  To the end of this group when they finished Woody's gonna play right and he's gonna go where? Left yeah, let's have a little go So press the man that's opposite you play right go to the left and move the ball quickly ready I'm gonna play it. Oh, yeah chap. I'm gonna play in there first ready off. We go play good good Lewis Good shift that ball quickly. Yeah, that's you Karen. That's okay Good just a good distance get out on the front foot now You can take your touch either way if you play one way if you play right then you go left I want us even though we're doing the pressing still to get in the habit of going there and then we're emptying our space leaving it for who? Someone else leave it for someone else ready good sims it All down when you play there you got a play and then move straight away Play and then move straight away Keep it going keep it going Good Jack on the front foot good play on play on now What just happened then so if Jack's coming in this side and he has forced him one way sims He'll have to do what? He'll have to come in and play that way just come in Lewis So if Lewis does just got a little angle not too much. Otherwise, what can happen?   Yeah Good stuff try and read that cue as soon as you can. I'll play into Dan first ready play off we go Good play and then move though play and then move Good kid get a good distance away Good good get on the front foot Addy front foot Good like that Good Chris the warm-up was a technical pressing drill Not any tackling just working on there The boys getting in the focus and the mentality of trying to press the ball so at the moment We're just checking these two so you are looking at this player and you're looking at him But we're not looking to see where he is So we've said before about receiving. What is it? Yeah, we said you got to check as the ball travels check as it to these feet And then as it's coming into me then you check there you three checks to play Make sure you're working on that too not just the press played into you Jack play off we go Good Good Lewis read those cues and triggers. Well, which way is he going good Jack? So as the ball traveled someone shut down and then as they shut down They could read which player was the next one to go in and get tight


My name is Michael Buckland and I'm at the University of California at Berkeley Mostly I worked in university libraries and then I taught and then I retired and now I just get involved when fun projects My colleague is Ryan Shaw who was a software developer who came to my school in Berkeley and became interested in what on earth is a historical event and what would you do with it in terms of software and He is the chief scientist on this project and I will provide just a brief introduction to the project and then the meat of the presentation will be By Ryan and then after the after that We'll talk briefly about what we plan to do next and I hope there'll be some time for question and answer We should acknowledge that the work is funded by the Mellon Foundation Primarily with some help from the Coleman Fung Foundation now scholarly annotated editions of Historically important texts are a major resource in the humanities and needed for kinds of purposes They're very hard to prepare It takes a lot of highly specialized Expertise over a long period of time. They're expensive to produce. They're difficult to fund and The work practices are still deeply constrained By the mentality of the print-on-paper codex That's the context we became Involved with the Emma Goldman papers project Emma Goldman was a notorious anarchist a hundred years ago Barnstorming across the United States giving inflammatory speeches and charismatic figure and The more we learned about the circumstances under which the editors prepared their material The more appalled we were The way it works is like this The editor finds an interesting letter addressed to Emma Goldman and it's signed perhaps by Fred Schmidt the first question is who was Fred Schmidt and Probably that was not his real name because the anarchists that she corresponded with didn't want to get deported So they used pseudonyms. So who was Fred Schmidt really and what was interesting about him and what was his connection to Emma Goldman and In the second paragraph it refers to the recent happy event Was that somebody's baby or was that the blowing up of the LA Times building? These are the questions that the edit the editors have to figure out and They prepare lots of notes Ultimately, they prepare a detailed explanatory footnote that makes the letter meaningful for the reader Couple of years later, they get out a wheelbarrow They take the manuscript of the next volume down to the University Press the University Press that's wonderful But you can't have that many pages. You just take footnotes out and we'll publish without them It's known as return on investment Meanwhile in New York City The editors of the Margaret Sanger papers are doing their work now Margaret Sanger the Advocate for women's rights and birth control moved in a similar social circle to Emma Goldman They knew each other and it's quite likely that they have a letter from Fred Schmidt So their question is well, who's Fred Schmidt? They don't know the people at Berkeley already been working on this and Who was he really and what's his connection to Margaret Sanger and why is he interesting in this sort of thing? Two years later they get out a wheelbarrow They take the manuscript for the next volume to the University Press and the press says wonderful too many pages take the footnotes out You get the picture Multiple duplicative research Wasted so we we came up with Really really basic technological fix So when their age of desktops had warmed up and their obsolete version of word perfect had loaded and they wrote their notes Save as HTML Then carry on as normal Hang it on a website. It's immediately available in full for free for anybody. That was the basic idea Now a lot more has been done than simply that but that is the fulcrum upon which everything else Follows as it happened. None of them had a suitable website for putting the stuff on and we built a website for them that they could share and then last August Without any announcement. We simply removed the passport password control So that anybody could see it Not everybody could change the stuff or add to it, but anybody could see it and within a month People from all around the world were using it It had been indexed by Google and Yahoo and so on now I won't say it was getting very much use but it was really cool to see this actually happened It was what was meant to happen, but it actually did and so now I'll ask Ryan to Get into the substance of what happened. All right. Thanks so Michael gave you a little bit of the background on on what documentary editing is all just Illustrated a little bit of what of what he was saying And then I'll describe the current state of editors notes after the past two and a half years of us working on it Then the second part of the talk will be talking. I'll be talking about What we're looking to do going forward. So we just received new fundings. We'll be working on this for at least another two years one of the things I'll be focusing on is our plans to exploit links data so consuming links data Rather than just producing it And also some of our ideas about what we call hybrid any scholarship that Michael explain a little bit at the end. So the first part of the talk is kind of the what we've done so far and the second part is Things that we plan to do So Michael mentioned the the context in which we're working which is documentary editing Editors prepare these collections of documents like letters and articles and diaries And they produce these printed volumes in which they try to provide context for these historical documents The typical workflow in a project like this is that they gather documents from various sources various archives the particular Scholars that we work with and working in this area of radical history where many many times these documents are not actually in official institutional archives that have actually been collected and maintained by activists and people sort of on the fringes They select particular items that they try to want to try to contextualize They publish the final product in the term in the shape of these documentary editions And then they repeat as funding allows and many of these projects have been going on for decades So just as one example the Emma Goldman papers This is their final product is a page from from one of the edited volumes. We see a letter here from Emma Goldman and Footnotes the bottom explaining the references and names and so on This is the output of that process the input is Boxes and boxes of documents file folders and cabinets also a lot of digital notes including stacks and stacks of old Floppy disks with Fox Pro databases and whatnot on it even Will tape back up of some of the early early days of the project and these days also the the shared File directories and so on that they that they contribute to and take their notes and a lot of the work is a Lot of the communication happens Like this, so this is a an image of a note written from One of the editors at the Emma Golden papers to the student research assistant who is working for him. This is Patrick Lenin at any of his family members besides his brother been imprisoned What was the book he had written on political economy that was used in Russian universities and then a reference to He thinks it was the New York Union post editorial that Presumably Lenin had written in 1918 on the IWW Verdicts hard to tell if that was actually related to the other things are or not, but this is the note That Patrick got Patrick then took this Went into the archives went to the library trying to answer these questions and typed up his notes Including the sources he had This may have been in the Word documents it could be in a yellow notebook it could be in an email that The research assistant sent back on this case you reached a negative conclusion to the question that the editor asked But nobody's ever going to know unless they happen to be going you know break into the Emma Goldman office And happen to be going through that box and find this document Because in this case because it was a negative answer to that question It's not the kind of thing that's going to go into a footnote which generally contains some sort of positive information about Something that was referenced in a in a document So when we first started this project we were interested in addressing a number of problems That the the published volumes and the work that goes into producing them is very expensive and and funding these projects is is difficult and there was a lot of Great research that was being done that was not ending up in those volumes So could there be better return on investment by making more of this The product of these projects more widely available There's a lack of space for all the footnotes that they would potentially liked all the contextualization They would like to put into these volumes That it was made available online that wouldn't be an issue Much the research done is lost over or not included at all Whether that's fact-checking especially this kind of falsification or dead ends It's often useful information to know it was not Found despite looking in a number of different archives and yet that's not the kind of thing that would get included in an edited volume Tangential biographical details that may have the interest may be of interest to someone But are not the core focus of the the editing projects, but are something that they turned up while researching something else and then the preservation and legacy of these projects, so if you have Very skilled scholars working for 30 years. It's kind of a shame that if the edited volumes are all that's that's left of All that work So enter the editor's notes project So you can take a look at editor's notes if you actually want to look at the tool itself. It's an editor's notes.org There's a description of the project this e-card at work Address including some of the publications we've written about it And our aim was to provide a safe place for this kind of debris of the research that that Is conducted in the course of doing a documentary editing project Improving this return on investment like I mentioned and We're gonna really to focus on So one of the we could have approached this by let's say let's go in and try to digitize All the stuff that they've already done all the notes. They've already created and We didn't really want to do that. We wanted to focus on What would we need to do to actually change the way the editors and the researchers work together? So rather than just Saying okay, we're just gonna come in and digitize everything We wanted to intervene in what they were currently researching And see if we could develop tools that they would find usable That would enable some of this stuff to be captured as it was going on rather than just digitizing it afterwards So we identified a number of early on we identified a number of principles that we wanted to follow The researchers are already overworked and underfunded. We didn't really want to slow them down Anymore than we had to so a minimal amount of friction to their research project We were working with a few different projects that had different work habits We didn't want to force them all into the same exact workflow But we did want a consistency in the kind of data models that we use so that they could exchange information since that was one of the big motivators for this was To allow one project to use the research than other projects that they developed We wanted to build on existing technology wherever possible not try to build everything from scratch And we wanted to adhere to two web standards. It really felt that this of the web So The underlying data model basically looks like this There's the notes that the scholars and researchers produce Notes can be divided up into individual sections each section may cite a particular Document that was consulted We have metadata the leader of the metadata about the document there may be scans of those documents Or and or transcripts of the documents the transcripts can be annotated As well, so we can do some of the the footnoting like that would end may end up in an actual published volume Right both notes and documents are indexed by topics Which may be people places organizations broad themes these can be whatever the editors think is appropriate and then topics can be associated topics may have a summary Sort of a summary article. This is something that they Emma Goldman paper does a lot that they they keep up to date Summary of what they know about a particular topic So that's kind of like a special note And then I'll talk a little bit in a moment about these these factoids So here's an example The interface for adding a document As an example of building upon existing infrastructure we interoperate with the tarot for the document metadata So even though you can enter it directly into editors notes If you have a Zotero database or Zotero account, you can simply sync those documents And I'll have to re-enter everything here. So we didn't want to we didn't want to reinvent the wheel for bibliographic metadata We use a service from Microsoft called zoom it which allows you to Well, we keep the actual Scans, but then Microsoft provides a an interface that allows it to be easily zoomed zoomed in on and Then the transcripts of the documents are stored in HTML and we have this interface to annotate passages of text The topics here's an example of entering a new topic. These are the primary primary method of indexing items They're classified by type like I said, we can have persons or places or organizations. It's just a sort of another layer of organization for the topics and because topics may be created by Different people over time. They may not realize that a similar topic has already been created and also because we're interested in Having a consistent taxonomy of topics across the different projects That that want to share information We also have an interface for clustering and merging topics that uses Google Refine So people that users don't actually have to interact with Google Refine, but on our server It talks to Google Refine and looks uses the tools that refine has available for clustering similar strings and things with similar properties and Alerts people says you have two very similar topics here. Do you want to merge those or do you not want to merge those? So it's not an automatic process because there are sometimes Say people say a junior and senior Who have very similar names? We don't want to automatically merge those We just want to alert people to when it happens and then there's notes the notes are the most difficult Part of the project. This is the part that we spent the most time iterating on trying to come up with a good way of modeling what notes are and reflect editors thinking about it So notes are messy and purposefully so One of the issues we had early on is that people felt that putting their notes into a system like this made them look too polished And they didn't like that that they they wanted it to look The interface to reflect the messiness of their thinking at the time So how do we model something that's that's so chaotic and idiosyncratic? How do we create something that's easy to use and flexible but has enough consistency that we can share information across projects? So after Lots of iterations the we settle we finally settled on something that seemed to meet the needs of the Projects that we were working with here's the interface for adding a note. That's what I mentioned earlier is that Notes can have these different pieces so an individual note may be covering kind of a broad theme or a broad question like Margaret Sanger and the third ICCP conference and But then there's the individual documents that were consulted and notes specific to those documents that make up the body of this note and that modeling things in that way Enabled us to both meet the needs of the select groups at the Sanger papers where it was more their notes were more around particular research Questions and then all the places they had looked to try to investigate that question and what they had found Versus the styles of mother projects where it was more centered around the documents that they looked at so where the title of their document would be more like Margaret Sanger's letter to parole S. Buck and they basically just be taking notes on that and then maybe using some keywords to group those together So those notes have a description They have some status which indicates whether or not they're being actively researched or not So open means there's a basically a question that's been posed But and they're still actively looking for information on it Closed means they basically feel like they've gathered all the information they need about that topic hibernating means They haven't actually gathered all the information that they need But they either decided to work on other things for a while or they've reached the dead ends and So they're not willing to close it, but they just need to sort of put it off to the side and that's the hibernating notes They can assign users to a particular note So we go back to the example I was showing earlier The editor could create the note about Lenin's brother or whether other people in his family had been jailed And assign that's Patrick With his initial questions there and then Patrick could take that over see it have been assigned to him and add his research to it I already went over the sections And also these notes are all Are all stored as HTML and every revision to them is stored as well So there's full revision history for For all the information that goes into editors notes. So just to show you some examples here Here's one from Margaret Sanger papers we see this one is Still open. Here's the initial question. What changed as a result of Sanger's trip to India Lots of the books written later seem to describe the same situation as before Sanger went there while others say that she was influential Here's the actual body of the note itself Where we have each document that was That was consulted and then the notes that were taken on that particular document The the notes are at a document level And that's a good question though because there is this issue about the The granularity of the bibliographic metadata and that's something that came up with our integration with the tarot is that They sometimes wanted to model a Document that they had consulted was actually a page in a scrapbook Let's say and it's and the tarot doesn't necessarily provide the tools to model things that in that fine-grained of a way And so we actually have some ability to extend beyond the Zotero data model when it's when it's necessary to add some additional Properties and things like that, but we can go here Click on that and get This one actually didn't come from Zotero, so it has no connected Zotero data And Sure, why doesn't how many the note? This note should be showing up there, but okay And then here's the topics that are were used to To index this note So basically mostly the people that are mentioned here But then also broad themes like women in India birth control movements in in India and so on And here's the history of the note. We can see that the revisions that that have been made Slightly different style of Using editors notes this is from the St. Anthony papers There were a little bit different case as Mike will explain a bit more in a moment They are a project that was in the process of ending So they didn't have as many active research topics. They were using editors notes more to To publicize particular documents that they had collected so they've taken all these Test cases during reconstruction And scanned all the documents and made them available and then the notes are more kind of intended for public consumption rather than their Their internal research but we can look at Filter by particular publications Here we can see an example of Something that we have scans for there's not much to this scan, but this is the Zooming interface and so on and here's an example of a document that for which a transcript has been provided and There's footnotes on individual Sentences from the transcript with some explanation. These are also modeled as notes In the underlying database but presented in a different way here Okay, so what change is the basis of? Using editors notes rather than doing things the way that These projects had been doing it The notes themselves have changed from these totally free text documents to these semi-structured blocks that can be rearranged in different ways And this is one of the site is one of the best benefits of using editors notes from the projects is that Whereas before they had even one even projects that were that mainly works digitally We basically have a single rtf file or a single word file and that was in one one folder in there Their shared server and here they could have a Some notes about a particular document that was actually relevant to a number of different research questions and they had the flexibility of Including that in different places because of the way that our database was structured that a lot of the information about people in places and events to which some notes were relevant was Implicit in their previous organization systems and here we made those explicit linkable entities that they could point to And Most importantly from our point of view is a lot of this stuff that was stuck in these bonding cabinets Was now openly available on the web something they could they could cite Early on in this project and actually one of the things that motivated what it was one of the editors from the Emma Goldman Papers Had some of his edits to the Emma Goldman page on Wikipedia reverted because he couldn't point to any sources that He was citing more research that they had done for the current volume Which hadn't been published yet, so he couldn't point to it inside it Now he can point to the page on editors notes and because it's external on on the web That's enough to make the Wikipedia editors happy So the benefits these connections linking topics are freed From the minds of the editors and the researchers and our index made available for anyone to see These standardized records of the work can easily be Revisited from out from within a project or from outside So a lot of the usefulness was just there's a high turnover in these research assistants And they could really quickly come up to speed rather than just having to wait until somebody told them about oh It's in that box over there It's a new way of seeing some of the the kind of Outer edges of humanities research So what the work that actually goes into producing these these published volumes? and It's also evidence of the work that's actually going on in these projects also important from a kind of PR or funding point of view for a lot of these For a project.  What have you guys been doing and you can actually say it point to while there's we've been doing a lot And then the system itself The source code is all available on github It's built all using open-source technologies Django web framework Data is all stored in the Postgres database using its ability to store XML we actually store XHTML for all the documents We use Haystack for our Full-text searching I mentioned this is tarot and Google were fine And when we opened up to the public and allowing other people to create accounts we started using Mozilla persona for ID management Which I highly recommend it's a very nice way to avoid having to Keep passwords and and personal information about users But not require them to use a Facebook or Google or other privacy invading method of logging in to your tools Their personal information is actually stored in their browser And yet they can still get the kind of one password Logins to sites I'm not the person who actually implemented this so I'm not sure if I can actually answer that question but So Patrick Golden who's our lead developer right now Could answer that question, but from the point of view of the end user They click on a button on our site and it pops up a window which has the Which is from Mozilla, but then it is storing information in your browser So like when I assign on I get it stores it in the the local database and So I'm not sure about all the different models that and how exactly that That works, but it's worked pretty nicely for us Okay, so looking forward to what we're planning to do for at least the the next two years So there's a lot of desired enhancements that came up in the process of getting to where we are now one of the things was There's a desire for better sorting and filtering and aggregating of notes Beyond what we can currently Allow There was Desire for we have I mentioned a little bit of the the naming control in terms of the the clustering and merging of topics But also making things discoverable in other kinds of contacts, so somebody has An archival finding a that's mentioning some of these people making it easier to integrate maybe some of the interesting related Notes that have been taken about the people mentioned in that finding it and then also wanting to have These cool temporal and geospatial and relational visualizations of the the research data that was being collected And all these things pointed to a need for more structured data, so a lot of the reason we couldn't provide the Enhanced sorting and sorting and filtering of things was that the editors wanted to enter everything as free text They didn't want to fill out forms and yet if we didn't have that structure It made it a lot harder to do those sorts of things So it's kind of three basic approaches For adding a structured data to these semi structured documents one which was a non-starter for us was We're seeing kind of more schema-based authoring basically filling out more form-like interfaces and and for these kinds of messy notes the The editors don't really want to do that Another possibility is that we do some kind of trying to automatically enhance These textual documents with with metadata so using some some information extraction Software to try to identify named entities and reconcile them Automatically and that can work pretty well, but not when you have people who are really picky about things being right So if you're willing to accept Mistakes and and bad data Then that can that can work. Okay, but again that we found that this was not Something that our users can be happy with But something we did One experiment with was human in the loop reconciliation of Topics that were being researched to external data sets where we could import Structured data that other people had been producing particularly from the library community Also sources like Wikipedia And we're hoping going forward also from more and more from archives so We started experimenting with linking our topics to external things like the virtual international authority file dvpedia the Deutsche National Bibliotech Information about people and things they've done with that British national biographies all these these emerging sources of of linked data So an early experiment in this vein we developed This linked data harvester that where we basically as people created topics. We send their topic names to Service called same as which would then return Canada URIs for each for each of our topic names and then we would go and Get representations of those to Canada URIs from these various sources and Basically harvests a bunch of assertions that had been made about say and the Goldman in these various sources So we get back all these these statements and We would actually separately store in separate graphs the information we got from Different sources and then we provided an interface to the editors where they could see the Assertions that had been harvested and basically accept them or reject them And they could do that either to an individual assertion level They could do it at property levels and this is a property that I don't really care about So don't show me this anymore or at a whole source level like You know free base That's terrible information. Don't show me free base anymore. Don't show me free base anymore as it relates to to Emma Goldman So that was a pilot project that we did kind of in in trying to actually be a consumer of link data And we learned that it was possible to build a system to automatically harvest these this relevant link data and then we could Provide this interface for interacting with it But we also found that this editorial control Needed to be better integrated into the note-taking process so that people it would violated Our principle of not adding friction by having this extra thing to do where you go in and accept or reject statements We also didn't adequately demonstrate why you would want to do this We started out with collecting data rather than Immediately trying to to add some of the benefits that that I mentioned of having structured data So we decided that when to do this properly, we needed to not just aggregate and edit the link data But really try to usefully exploit it So in our our what we're currently working on Is trying to address some of those issues so having in-process reconciliation we're rather than separately creating topics and then later reconciling them in this separate batch process that Editors are creating and linking to you and reconciling topics as they Take notes. I'm sure we're trying to make interfaces that are making that easier to do And then most importantly motivating this structured data use Enabling them to Well, whereas before we were just enabling them to store and edit the data they're not really providing any sense for them to do so Now we're trying to Have a system in which they immediately get New abilities to sort and filter their data or to create simple visualizations by doing it So there's a media payoff for linking to structured data So we already where we do have structured data is the bibliographic metadata that we have and so we already Provide tools for sorting and filtering based on on that data And now what we plan to do is extend that so we can filter and sort notes not only using the dates the cited documents But information like the locations and birth and death dates of the people referenced in the notes Locations and dates of the existence of the organizations locations and dates in the events that are referenced In terms of visualization, so this is an example of sort of a side project that we did Where we created a visualization Based on notes from the Emma Goldman project where they maintain an internal chronology of where Emma Goldman was on each day And we would link to those two documents that they had scans of And then we gave you the ability to narrow down on a timeline and search on the map to see particular places that she had been and follow her travels and this entire documents is actually all self-contained graph of linked data It's all RDFA embedded in a single page there and then the JavaScript interface for for interacting with it So the editors really liked that they wanted to do more things like this, but it was a lot of work just creating it for this one chronological document So that's the the kind of thing that we want to make easily available but for any of the the note related data, so a Note on Rama Rao and the fourth international conference on Planned Parenthood is no longer We wanted to no longer just be available as a textual note But also visible as a map of the specific locations in Stockholm and Bombay that are mentioned in the note a timeline of dates associated with the conference Network of relationships among the people and organization So basically any topic which has geographic coordinates We can map any topic that has time points or ranges can be put on a timeline any Relationships among topics can be visualized as a network And we expect the benefit to this We hope that these the working notes will become more repurposable That they're not just things that we can read but we can actually feed them into these visualization tools They can become more discoverable because we've linked our topics to standard identifiers for things so it becomes a lot easier for somebody else to come along and query these repositories of notes for everything that's relevant to a particular topic and And The last thing is shifting the focus of these projects from the one-shot product the edited volume to this continuous data curation process so to really See the projects more as this continuous Production of and collecting data from archives and adding to it and enhancing it and then and Making it available again. I think we're almost on a time, but that's the the last Kind of piece of the puzzle here is What happens when these projects and and can we build systems that continue to be available for others to pick up? Even if once the the funding is no longer available, and that's the the hibernating scholarship available Idea that In addition to all that the editors found their editorial projects easier to manage with this because they could tell who had got Made how much progress with what? It's also the case that curators of special library collections Have a similar knowledge and could make similar notes about the documents in their collection and we experimented with that and We it's also true that archivists professional archivists know a lot about the documents under their care and they Can could do a similar sort of thing and we hope to explore that with the California State Archives in the second phase which started this week in addition to trying to explore what archivists could do and the What Ryan has just been describing Which I would describe in the following way if you go to a big digital humanities conference You get these presentations of really expert people who've spent hundreds of thousands of dollars Developing some really spiffy visualization How can you get some version of that functionality? Down to the level of these poor people who are working so hard and are not about to take the time to learn much That's driving What Ryan was talking about but the hibernating scholarship issue is this Nobody seems to know what happens to these editors notes when the projects end the granting agencies They give a grant to produce the manuscript for a publication the moment the manuscript for the last volume goes to the press the staff are laid off period seriously, this is a soft money business and If it's a founding father or a president then probably the project will be sustained and the records will be sustained and Most editorial products are not that Right now well last September the joint Elizabeth Katie Stanton Susan B. Anthony project that Rutgers ended after 25 years of a large well-managed project Okay manuscript went to the press in last September and That was what the grant the final grant was for the staff were laid off There was no discussion as to what to do with the large room full of all the kinds of material that were in the image Not even any discussion. The only thing that was certain is that the dean who owned the space was going to want it back What's wrong with this picture their notes included Extremely detailed step-by-step notes on Everything that had to do with every attempt to get votes for women in each state Those records are not in the published documents, and they don't exist any other place. It's a terrible waste so a major part of the second phase is In the first year To work with Rutgers with that projects down and put under the School of Communication and Information fortunately To do archival processing so it's a ready-to-shelf archive and the lessons learned in doing that will then be Put into the work practices at Elmer Goldman and Margaret saying this project is a professional work practices Issue very much. That's why it has to be done slowly but It raises interesting questions about the relationship between the eventual published volumes and the research that's been going on In effect what has happened by savers html and putting on the website the boundary of what's published and what not published has been moved You see so there's expensive eventual printed editions and not the sum total of what's published and that it is notes I've published to including the problems. They can't solve. It's like the 19th century notes and queries genre reinvented and Projects end but scholarship goes on and Not only can they look forward to that Frustrated obsessive local historian in Possum Creek who has the membership list of the Emma Goldman admiration society In 1895 and doesn't know anybody interested enough to share it with But it invites a 180 degrees turnaround on the relationship between the published volumes and the working notes Because I think the implication is that instead of the working the eventual published editions being the sole and only product Which it is now instead they should be seen as intermittent desirable byproducts of an ongoing workshop defined as The working notes and the expertise It's what I like to call the sleeping beauty mode of archives That is to say if Prince charming comes along with another grant that work can come to life and be continued Now this isn't exactly conventional archiving which produces a static collection. It's somewhere between an archive a conventional archive a library special collection and I'm not quite sure what else and That's a really interesting part of what we're going to address Thank you very much. We're stopping you from your


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We welcome you all to the session Demystifying Operational Efficiency for Startups by Gautam Brighay. Driven by his passion for programming, Gautam co-founded Josh Software with Sethupati Ashokan in 2007. Gautam, who still quotes religiously, leads the India-based Josh Software brand across the world, apart from being involved in delivering web solutions for client partners of the organization. With more than 22 years of experience in the industry, he has handled a wide array of profiles that have helped him build sustainable and high-performance tech solutions. Without further delay, over to you, Gautam. Thank you. Thank you. Hello, everyone. And operational efficiency is the keyword here. But when you talk about operational efficiency, how do you put it in layman terms? In layman terms, people talk about your business should be so efficient and so well organized that you can sit on the beach in the Bahamas or in Goa and it's business as usual. Well, folks, that's exactly what I'm doing. The shirt that I'm wearing is not because I was told to dress well because this is the Goa dress. I'm actually in Goa at an offsite for my company and I couldn't let narration down, so I said I'll definitely take the call because our systems are pretty operationally efficient. But getting back to the topic, it's not about just about operational efficiency startups. It's about scaling a startup operationally well. Now, a quick, I mean, I've already been introduced very well. This is a quick slide about Josh and the stuff that we do. Over the last 15 years, we've been working in various open source technologies. We've been working in various different languages. We have about 450 people in our company right now. Some working out of Pune, some in Bangalore, some in Dubai and some even in the US. We have a clientele across the world, so we are not dependent on any one single economy. But we believe in the freedom to create value. The freedom is given to all our employees to do things well. Freedom is given to our sales team to choose properly. Freedom is given to our customers to come back to us with feedback. Freedom is given for the founders to even speak at conferences, freely sharing information, ensuring that the ecosystem grows. I'm a published author in Ruby and Go, and I love speaking about entrepreneurship. And especially when you're in Goa with a beer, if possible. So moving on, it is traditionally very easy to just say that any technology enterprise is either a product company or a service company. And when you're a product or a service company, apparently, there are different success criteria. So if you're a product company, you're looked at how quickly you are scaling up in number of users.  How are you managing data? What is if it's an API based thing, it's about performance. It's about how far you do, how well you do, how many customers you're doing, how far you can scale. And unfortunately, or fortunately, it's all about money and raising ground. Founders typically go around in circles, getting up one round after another because it's all about intellectual property. It's about perception. It's about gaining that kind of scale. A services company, apparently, is determined by only two things, your top line, bottom line. How many employees do you have? How much business are you doing? How happy are people? How enjoyable it is? Your hiring is a big pain point as well as a boom. But you know what? These are two types of companies. In my personal opinion, everyone keeps asking themselves, am I a product company, am I a services company? I truly believe that there is no such distinction between companies. A product is only as good as the service it provides to the people using the product. And a service itself is a product offering. So you have to be polished, you have to be efficient. And all this is achievable only through operational efficiency. Now, I digress a little because you may have been seeing all these images in the background. Here's an interesting tidbit for everyone.  So you'll see fish scales, you'll see different types of scales right now. This is like a crazy footage of spoons looking like a fish. But you'll enjoy the word scale. In every slide, you'll see something like that. OK, back to the topic on hand. Operational efficiency goes about in three different areas. One is ensuring that the operations are unwell. One is about having data and having the data which makes a lot of sense and financial control. We'll take these one by one. If you're scaling a business, you need to ensure that your business information systems is all in place. Now, rather than using out such big buzzwords, all of y'all would be using at least three or four of these different collaboration tools for business. I'm not here to sell anyone. I'm not here to endorse any one of them. Unfortunately, there are a few players in the market only, especially like Google and Microsoft. I'm pretty sure I'm very, very sure in fact that almost 90 to 95% of the people who are listening in or seeing this talk right now, probably either using Google Workspace or Microsoft Teams and the new kid on the block, Zoho has also entered the market. But you know what? I have a problem with this. I have a problem that not only is our data with all these players on their cloud and their infrastructure, I don't have control over the pricing, over how I want to structure, how I want to scale my business. So if you are a company which is going to, you're very sure that your company could be a product or could be a service is not going to scale over 500 people go with these enterprise clouds. Absolutely fine. You will be paying as you're paying on the go cloud works. If you are already in a company above 3000 people, then you already have a big budget. You already have settled on the enterprise cloud. In fact, the Googles in the Microsoft will come to you saying, you know what? Tell us what you want. We'll structure it properly. Problem though arises when you start integrating with third kind of third parties like maybe Slack. Slack is not going to very easily tie in with Microsoft Teams and Google and most developers will probably want to be on Slack or you want to use different tools and single sign on might not always be provided. Not easy integration through things. If you are a company in between 500 to 3000, what do you do? The community edition is not going to be good enough to scale. The enterprise edition becomes increasingly expensive, almost fivefold or a tenfold. And you're putting all your eggs in one basket. It's not easy to switch from a Google to a Microsoft. It's from frying pan into the fire because the offerings are almost there. It's a price war. And the price war is not being played by these two companies to retain you. The price war is being in to ensure that you cannot get out of them. So at one particular stage, you might get discounts from 300 to 500 and 500 to maybe 800, but it cannot go on forever. Unfortunately, this also is the rope that is being provided to you to hang yourself. You cannot get out of it. So do you accept this reality? Do you accept it that it is a make or break for you?  The cloud hybrid approach does it using open source. Now, I'm not again endorsing any product here. We've personally switched over to NextCloud now. We've been using NextCloud. We have built an entire PUCNLE explaining in short how we went about it.  All the features that are available in Google Workspace or Microsoft Teams or Zoho are available for me here. This helps me keep more control. It helps me build in my own workflow, my own authorization, my own control for where, how your data gets stored everywhere. And there are plenty of tools like this, which will allow you to look into the dashboards of photos, activities, calendars, everything. They will have their own collaboration tools where you can collaborate on data. You can see different versions of the document. You can have chatting, inline chatting, conferencing webinars, calls. Everything is available and you control. So these are not based on number of users. This is on your own infrastructure. So how do you go about this? One, evaluation and figuring out whether this is your cup of tea or not. We did a proof of concept for almost six to eight months on a separate domain, trying to see whether it suffices for our needs. The thing that is going to create the biggest problem or the biggest challenge for you all is going to be the mail server. So if you want to do this, there is a process behind this madness. You have to do the cost-benefit analysis for self-hosted or third party. Third party is putting all your hope and prayers in somebody else's business. Or you bite the bullet and own the responsibility for it. Of course, you need to build a team. You have to have a process. But without this proof of concept, this is going to be a tough cookie. It's been done. If you'll need any help on this, I can personally help out on this. And my company can definitely help on this. At least give some guidance about what are the pitfalls that we've seen here. Or what needs to be looked at. Now, along with this, you also need very comprehensive data. And data is the movement where you're moving from people oriented to process oriented. And only when you are in a board where processes drive the business, can you call yourself operationally efficient? Ensure that you have an HRMS and HR management system. There are plenty of there out there in the market. Ensure that time sheets are managed. Leave management is critical. You have to have all your policies in place, which are backed by your processes.  This is the whole area in itself. And there are dedicated people and companies who do this for you. Utilization reports, who's working more? Who's working less? It's not about how much you can squeeze out of a person, but are you billing your customers efficiently? Are your is your team overworked? Are they going to get tired? Are they going to burn out? These are the factors for getting out of utilization reports. The employee life cycle management is also very interesting because you can as a technology company, you cannot be stuck in the loop of do this and keep doing it. So you have to have a process. You have to have an HRMS. You have to have your time sheets. You have to have it people wise, project wise. You should be able to churn the data in various different ways to see it. And you also need to have very good recruitment process. This is a snapshot of our recruitment process, where typically if it's coming out when we hire people, we hire almost about 10 to 15 people every month, for which we have a funnel where you have to give out that many offers and ticks that the turnaround type from putting our job description to a job offers about two weeks. And for walk-ins is one full day. Everything is automated. Spark code is a product that we build out of need. We wanted our systems to be our systems to be such that we are able to test our developers and programmers in whichever language they have, however they want, but according to our standards. So rather than going with existing tools and practices which are there outside already, we build our own system to actually test people out and give them a program. If there is a whole technology around this, where we are running into tests, we are evaluating using static code analysis, gives the developer a way to quench their thirst as well as build productivity in the company. The key word here is ensuring that we're moving towards the process so that it is more process driven and not people driven. Now, in addition to this, actually, I don't even need to get through the retention slide because there are so many different activities a company should be doing. It's not only for your employees, but also for your employee's family. When an employee's family is happy with the company, it will automatically build in a lot of retention. It will put out activities. We are currently our entire company of 400 or people are in Goa right now for annual picnic. There is no agenda. It's not an offsite. It's a picnic. People are doing what they want. I'm also doing what I want, I guess. So upscaling people is also critical. People get bored. People need to learn and whether you're a product company or a services company, you cannot just have your developers idle or going in the same boat. They need to swim in new waters. So you have to have a blended learning management system. Could it be anything from dispersed to whichever other tool that they are using in the market, any known learning management system? There has to be a way you evaluate, reward, recognize and get them into a loop so that there's a peer system where they teach each other. They share knowledge and take it to the next level. Now, while we talk about being operationally efficient, it is also critical to ensure that you have tools for ensuring access on different devices, access to different data and of course backups and continuous data protection. Again, I'm not endorsing any of these, but you should have some sort of agents which are setting up on your different devices, which will help you to locate or lock, reboot, encrypt, wipe, delete, whatever you want for these devices because they are all critical. If you're a product company or a services company, security of not just your data, your devices, your people is very, very important. Now, once we have looked at the operational efficiency, once we are, sorry, the operations efficiency, using large amount of data, this is so far so good that we are running a tight ship. The difference is finance. The management can give direction, but finance drives the company. Finance is the key part to any operation which will determine how the company is not just going to float, but is going to speed up and race. So along with the management, along with the finance, you need to have absolute data in terms of revenues, your collections, your DSO, which is days outstanding, what is the credit, how much is your customer working with you? How are your customers increasing? If you have a customer base or subscription base, is the sales team hitting the right spot with every customer? How many customers are getting into the system? How many customers are leaving? Every kind of data that you get must be put into a financial metric to ensure that you are scaling exponentially. Remember, linear scaling is easy. It is doable, but you will burn out. It's the same amount of effort that you put in. So exponential growth is critical. At Josh, we maintain a list of all these different metrics. I'm not going to get into each one of them in detail, but I'm sure everyone does these reports. The one thing that I definitely want to talk about is the cash flow sheet. A lot of entrepreneurs, especially in startups, suffer from the fact that they don't understand the difference between revenue collections and cash flow. So profit and loss is something different and cash flow is something different. I am saying this because I have personally been burnt. I'm a programmer by heart, by nature. And when I started, Josh, I did not know the difference between debit and credit. Today, after 15 years, I can look at a company's balance sheet and read it. And I do not have a formal education in finance. I have burnt and learned. So for me, it's not just about profit and loss. It's also about the cash flow, your nine week running window, which is going to give you the bandwidth to take risks because as a company, it's not just about how well the company is doing. It is also impacting lives today because of an immature, uninformed or a decision that I take based on emotions in my company could impact the livelihood of 500 families, which is almost about 2,000 to 3,000 people and their funnel below. And all this would have would impact only if I have running an operationally efficient shop with operations in check, the data in check and finance in check. So I think I'm on the last slide right now. So if we are able to do this, we will be able to achieve operational efficiency in our systems. Thank you so much for, you know, for your session. Thanks a lot, guys. Bye-bye.


My name is Andrea with Foodimentary Adventures in Food.  On our channel, you'll find simple and tasty dinners using everyday ingredients. So as a side for our dinner tonight, I am making shortcut macaroni and cheese. I used to make this all the time and I haven't made it in a while. So the only thing that I've done so far is add some sour cream to this pasta that I boiled. It's just a, you know, deluxe macaroni and cheese. So I added some sour cream, a half a cup of sour cream. Now I'm going to add the package of the cheese sauce. I'm going to give this a good stir and then I'm going to add in about a cup of shredded cheddar cheese. And this is cheddar cheese that I have shredded myself, so it's not the pre-shredded kind. And here goes my cup of cheese. Measure with your heart, put it, put whatever you want in there. And if I didn't mention, my macaroni is cooked al dente because it's going to go in the oven and it's going to continue to cook. So I've got an eight-inch casserole here and I have greased it.  It's cool now. I'm just pouring in my macaroni and cheese and I'm just going to top it with some additional cheese. Again, put however much you want to put on your mac and cheese. And then I'm just going to bake this for about half an hour or until that cheese is all nice and bubbly. Okay, so dinner is finished. So here is the macaroni and cheese. I also made some collard greens with smoked ham hocks. I am going to record a video on how I made them. And then we've also got some baked chicken legs. And I use this Lowry's Chicken and poultry seasoning rub and this poultry herb blend on the chicken. So this is what we are having for dinner tonight and we will see y'all next time. For dinner tonight, we are having stuffed mushrooms from HEB, their Italian stuffed mushrooms stuffed with cheese and Italian sausage. I picked them up on a recent haul, which should be out shortly. So be on the lookout for that, serving the mushrooms over some white rice and a side salad. The stuffed mushrooms are part of the meal simple meals that they have. And they come in this tin foil pan and you just bake them in the oven. And then for the salad, we are just going to be topping it with some Italian dressing. So this is what we are having for dinner tonight and we will see y'all next time. So for dinner tonight, we are eating from our freezer. I am trying to clear my freezer out. I had this family style meat lasagna from Trader Joe's. We had it a long time ago and we both really liked it a lot. It is so good. Way better than Stofers. It is frozen. Trader Joe's does have one in the refrigerated section. I've not tried that one. But like I said, this one is really good. There are four servings in here. And I'm also serving it with some butter croissants from Great Value. Normally I get my croissants from Trader Joe's as well. And these taste very similar to the ones from Trader Joe's. I do let mine proof. I've mentioned that before. And to me, they just turn out lighter and fluffier. So here is our dinner plate. You got the croissant. And there is the meat lasagna. And then we are just having a salad on the side. I'm going to use some of this Olive Garden salad dressing. So this is what we are having for dinner tonight. And we will see y'all next time. So I'm trying out a new recipe for dinner tonight. It is an Alfredo Tortellini Bake. Of course, I'll leave the recipe in the description box. But in my skillet, I have some butter and some garlic. And I just added in four ounces of softened cream cheese. And I'm going to let this melt down a little bit. In the pot right next to this skillet, I have two packages of this three cheese tortellini boiling away. I got it from Aldi. So I'm just going to let this kind of melt down. And then I'll come back. Add in some heavy whipping cream. So now I'm going to add in about a half a cup of Parmesan cheese. And then I'm going to use a little salt and pepper. Give it a good stir. And I'm going to remove this from the heat. So I've drained my tortellini and I've added it to the pan with the sauce. I'm just going to stir it up, get it all combined. I'm going to pour it in a pan because I'm going to bake it. I'm going to use an 11 by 7 pan. The recipe calls for a 9 by 13, but I really don't think I need a pan that big. So I'm going to finish stirring that up, put it in the pan. I'm going to add some additional Parmesan cheese to it. And then also some Italian style blended shredded cheese. The recipe calls for mozzarella, but I have the Italian cheese. So that's what I'm going to use. So I'll be back. So here is our dinner. The tortellini is very, very good.  It's very tasty. And we're ending up having a very starchy dinner tonight. That was not the plan. I was going to make a green vegetable, but then I remember I had this fresh corn on the cob in the fridge that I needed to make. So that has some butter on it. And then we're just finishing up those croissants from the other day. So this is what we are having for dinner tonight and we will see y'all next time. So for dinner tonight, we are having this Tex-Mex queso with brisket from HEB. It is so good. I got this probably like, I don't know, for the first time maybe a month ago and how it and I really liked it. It is absolutely delicious. Comes in a little tin tray and you add milk or beer to it. I am going to be adding milk to it and then you just heat it up in the oven at 400 degrees. And it is amazing serving it with some tortilla chips also from HEB. This is what the bag looks like. We got the unsalted variety and I am just going to be warming the chips up in the oven along with that queso dip. Makes them nice and crispy and warm. I do that with my that is Harrison. I do that with my tortilla chips and also with my taco shells and stuff. But anyway, this is what we are having for dinner tonight and we will see y'all next time. So I closed out the last video and totally forgot to show you all what it looks like when it comes out of the oven. This is it. It is so good. And then here are my nice hot tortilla chips. So I will see you all next time.


Hello? Hey. What's going on? It wasn't tight. Yeah, it was. Or you're going to get higher height. Dump it in the tube if we head to. Can you pump it in? Maybe we have to call someone else, because that seems crazy. Okay. We're going to take all day. It's not going to be the same strength. It's going to be the same time.  Yeah. That works. I have to say I am pretty nervous for today. All the thoughts are going on in my head of what could possibly go right, but also what could possibly go wrong. Everything really needs to be perfect today. Yikes! I say we're putting the solar up just in time. So you might be wondering, it looks completely shaded here. And yes, you're right. It does. On the ground. However, we're going the TPM 12, which is a single pole mount system, but we're doing that times two. However, the first panel is going to be six feet in the air with the top one being over 11 feet tall. If you look at the trees, they have sun even four feet high. I'm really happy that our ground mount system actually didn't work out. Everything happens for a reason. That's what you call a rock. That's a big rock. This terrain is far too rocky for these screw piles. We actually wouldn't have got enough sun in the wintertime on the bottom panels, which then gives you less electricity to harvest through at the day as we only have 1.5 hours of actual sunlight in the winter months. That's what we call a happy accident. Summer's over, but you're keeping it hot. I stay right next to you like it's my favorite spot. Keep holding you close like you're all that I got as this autumn leaves fall down. All right. Everything is now measured out. We decided to only go with the one hole and start digging before we measure the second one because basically we don't want the first array to shade the second array. There's really no point of us measuring out the second array as who knows what we're going to hit in our rocky ground. The hole might change slightly, so it's best to play it safe. Our solar array. Such a surreal moment really. It failed one time. Let's hope it doesn't fail this time. Don't you feel like your head's been spinning today? Oh. Just taking like a deep breath and imagine a solar array. I'm like I was so nervous, but now I feel like I've got a little bit more of a I can breathe. Yeah. We still have quite a few big decisions to make today, but I think we're going to nail it. I hope so. That's 10 feet. It looks way deeper, hey? I don't even know if the camera can do it justice. Just how deep that hole is in the earth. Wow. You are the best.  Screaming lady. I can't take credit, Paige made it. I have to say today is such a special day. It's so nice to have friends here. Just the other day we picked up Colin and Paige, who are great friends of ours, and they're here for the week. And they're here on this very special day where we set up our solar. I'm so excited that they're here. And Colin looked at us this morning because we hadn't eaten yet. And he was like, don't worry, we're going to keep you fed. So sweet. All right. So before we put the solar tubes in the hole, now that it's prepared, we are going to put some stone in the bottom. And that has a lot of purposes, like for example, drainage, but also getting the solar tube completely straight and flat, sitting on an even surface. So we're going to start with some two inch because it is really mucky down there. And then we're going to put some three quarter inch clear stone on top. Because that's the instructions Colin for. And we're following the instructions to a tip. I'm not going to lie everyone, there had been some confusion on certain things of what to get based on different things. And Crystal was the problem solver. She project managed the entire situation calm, cool, and collectively. And now we are set up for success. That's exactly why we actually had to end the last week's blog early because Crystal literally did so much preparing. And like this day actually wouldn't be happening right now if it wasn't for her. This place looks like a true construction site today. Materials everywhere, machines going, lots of different bodies moving around. It's so exciting. Porter's finally back filling the very first hole. I can't get over it. It's surreal. It's faster than I thought. Yeah. So he's being extra careful right now to make sure he doesn't move the tube. Yeah. And then that steel tube goes in it when the cement comes. Yeah. Okay. They can do hard things. Us, we just watch. So you need between 8 to 10 feet in the ground. And we hit, well Porter hit 9. Woo! That's with gravel and everything and then back filling. So that's it. It's pretty perfect. It looks amazing. Okay. Adam arrived just in time because like we said the second pole is super important because you don't want the first one to shade it or. Mathematics. And he's really good at math. He tried to get me to do algebra the other day. Trials. With the shadow. All about trying. I said Adam I haven't even had my coffee yet. I'll do that another day. I have to say it's really good to have a community of people around you who have a little bit of knowledge in the back of their pocket because Adam showed up at the right time. We were putting those solar arrays a little bit too close together where the shadows you know in the late evening or the early morning might have casted on each other. So we did some quick math there. And I think we found a place that's going to work perfectly all year round and we're not going to have to worry at all. Might have found a spring. Yeah. Seeing how much water is in that hole is literally stressing me out a bit. We've just prepared so much for this and for that much water to be pouring out of the ground is actually really nerve wracking. How's it looking? All right. So things are not going to plan. We just got the second sonotube back filled and it's just looking not good at all. Like first of all it was so hard to get in there with the water and it was kind of a stressful moment for everyone and then and the concrete truck is coming right now. And at the same time the sonotube is wanting to give way. Yeah. So in like three different areas of the sonotube it's starting to push in. So it's like beveling almost. It's just, it doesn't look good. So Porter's literally undigging the sonotube that he just back filled. It's just such a bad area right there, right? So bad. You might have to switch it. But who knows. Looks like only one's happening. Yeah. Is it really rough? It's bad. It's even more. It might be a little bit. And I think what's more nerve wracking is seeing Porter's face. I've never seen him this stressed out before. He was even saying he's like season one of the cabin. Piece of cake. Girls season two. This is a whole new level. Without a doubt some of the worst news we could have gotten. This is definitely worst case scenario. Well, maybe not worst case scenario. We got one in but the concrete truck is literally coming down the road right now. So I guess this is means delays bringing everyone back out again and trying to track down another sonotube that size. So I'll see what we can do but boy oh boy. I think you got it. All right. This pull is going in the first on two. So I'm back from being down low permanent. I'm high on energy happy again because this is super exciting. Even though we just got one, all we could do. We did all we could and I just called air construction products. They can't get another two bin. There's none in the province or in the city anytime soon until Friday. So it's going to be quite a few days before we get another one. But here we go. We're going in. Just as soon as things were going right, they're going wrong again. The concrete truck got here and immediately said that there's four feet of water in the sonotube. Yeah, we got four feet of water in there. So we're already one is completely done. The sonotube has is done. Now the second one, I feel like it's filled up. Supporter can't get the pull down because it just keeps filling. I'm nervous. I don't think we're going to concrete here today. No, I don't think so. I'm thinking I'm probably going to get two new sonotubes. Yeah. And we can't actually put the concrete in right now. So we're trying to pump it out with buckets and some pumps. And it's just, oh my goodness. It's kind of wonderful to get concrete in there today. I knew today was going to be something, but I did not think it was going to go like this. All these modes. So much water has filled up into the sonotube. So if you put the concrete into here, the concrete is already wet. It's already mixed. It wouldn't be as strong. As much. The more water we can get out, the better it's going to be. That's how it's happening with us. It's not actually collapsing.  We're still doing good. Yeah. That was a wild few minutes. Good job, team. Wow. A little scary. A little scary. Spooky. Spooky. I have to say, pretty sad about that. There's not much you can do, right? Just got to wait until Friday. I actually can't believe this is happening. This is something Crystal and I have dreamed of. I just can't believe we're at this point from what the cabin used to be like and what it was like. I could have never, and I don't think we ever planned for it to ever be like this. I guess I want to say I'm proud of us all pack. Concrete person. They're gone. Hey Porter, did you quit yet? Yes. It's only us. So that would be something. One pull down and now time to shower all that concrete off of us. Because it's cold, we now shower in our sauna. So we light it. Enjoy the sauna. Enjoy the sauna and then you shower in the sauna and then it's like you haven't entered a shower. Good night. Hi bud. Don't freeze in there, right? I have to say that van heater sure does sound nice. Anything for our guests. Morning. Good morning. Yes, it's this cold. I'm wearing a poofy jacket. Poofy. We're just making Colin and Paige some morning beverages while they wake up in their nice toasty van. But a true tea drinker. I don't know if anyone else can really, but you know that person drinks tea when they bring their own tea bags. My mom does the same, so I was laughing. Morning. Oh, thanks bud. You're welcome. I was outside and I heard a truck from like a mile away. Quarter. Really? It's got to be quarter, right? Yesterday absolutely crushed us. How many things of concrete did you left on your, over your head? We should count actually, but we'll go full body sore today. You're strong. We're on the same boat though. Yeah. I think we're on the same boat though. It was on a long, long day. I think it was like a 12 hour day at least. Got one. You got a tube? Yeah, and I can pick it up right now in Kenville. You want to go to Kenville, Paige? Yeah, where's that? We'll go to a wine. Bye Colin. Have fun editing. We love you. So the sauna tubes are hard to get because they have to order them in from a manufacturer. A lot of places don't stock them in the places that do usually run out really fast. So in Halifax in the city, they run out all the time because there's only so many places that stock them. And then the places that order them in usually take a while to get them because, well, everything's pretty slow here to begin with. They hold street signs too. Yeah, like highway signs. So I called the home hardware that is closest to the manufacturer and they, because they are so close, they just go down the street and pick it up because I can't pick it up because I'm not a distributor. You should be. So they are going to go pick it up today, which is wild. You're smart. And I can go and get it from them. Good morning, Porter! So with the help of the tractor, Porter, crystal, me, Bella, Paige, I guess he's not going to do much. Colin's busy editing. We are going to try to extend this pad that way. We will have enough wood storage and we'll be able to get the wood for the winter because that is our number one heat source. We need to extend this pad that way we can build the lean to that will go over the existing pad, but you also have room to grab your firewood. Back to that time of year, everyone. Let's do it. I don't use these clothes, but it's lost. 70% of Nova Scotia, which is the province we live in, actually heats with wood heat as their main source. And our appointment is on November 1st for a wood stove because everyone, and by I mean everyone, is the 200,000 Ontarians that I've moved here in the last year are all looking for wood stoves. Whoa, guys! Yeah, making good time. Thank you, Paige. Wow, I can't believe this. Okay, check this out. We found a fully intact Dragonfly. Paige found it and has learned some very interesting facts about them. Dragonflies are actually really cool because they begin their life cycle underwater.  Wow, imagine that. All right, Paige, time for a supply run. Oh, yeah. In the meantime, Colin and Jasmine are filming something you won't want to miss. I already cried in my interview. Subscribe and check it out on Colin and Paige's channel. Freezing cold showers outside. Turn the heat on. All right. We're here to pick up the last Sonotube. I looked everywhere to try and find this one. Here we are. It means that this week we might be getting both poles in the ground. I am so happy that we got this Sonotube. We could have been waiting a few weeks. We got it. Time to bring her home.  Done for the day. Thank you for everything, Porter. You're welcome. Making our homestead a dream. Yeah. High five. One day at a time. Day at a time. What a nice day for a solar array. We're all here and we're all going to attempt hole number two once again. We have a new Sonotube and we even picked up this three inch trash pump this morning. I think we're in luck. Fingers crossed. And with the knowledge that we learned from the other day, we're probably going to be smooth sailing. I'm honestly starting to think that we have our own natural spring here on the property the way that the water is flowing into this hole. It is just a lot and it's not stopping. What's the plan? I'm going to go and try to hit it back in around where that spruce tree is. Yeah. And then that way we can put the pump in that hole and not have the water come in this hole. Yeah, that's super smart. So essentially the water that's going to be going into this hole will be already taken out before it can reach there. So it should save us. You hear that? Splish splash. Just got to fill up the pump because you don't want to start it dry. That's what I learned this morning. I'm very excited about this. I love new kind of toys. Come on, Porter. No. Even happening? Porter thought he was going to be out of here by one. That is a funny joke. We are not doing good. Nothing's going to plan right now. Okay. Head-adjust. We need to prime it again. Soar. I was just trying to get a little bit more comfy holding that ratchet strap, but apparently you can't move. Hence I, Porter, wanted to put a rock there, not me. Try this again since somebody messed it up. Okay. The pump is definitely doing its job, but it just keeps getting clogged because of how much gunk is down there. So basically now Porter has jumped back in the excavator. We're going to be digging another hole and then I trench that hole to try to divert the water to the other hole. I hope that works. And then we'll go back to the pump because obviously some water is still going to come in as this is a very wet area. This day has been absolute chaos. Anything that could go wrong has gone wrong. I know today's challenging for them, but I think I really believe that they're going to get this done today. All right. Well, we're at the point now that this can go one of two ways. We can end up with two TPM-12 hole mounts in the ground or just one today. It's been, again, a lot of emotions, a lot of up and down and back and forth. This meant sure coming and the water started pouring back in the hole. And we've been staring at this pump all day. Pumping water out, digging, pumping water out, digging. We're all drenched and dirty and we're not even close to putting the rock or the sound tube in yet. So it's been a little bit of frustration and trying to keep spirits high. Okay. It looks like we have the hole under control. Porter's just bucking at the first one. So I've got to go, everyone. I'm sorry. I've got this down to 30 inches. I actually can't believe we're here. I can't believe it. So the plan is instead of backfilling with all of the fill that we've taken out, instead we're going to be using the three-quarter into the base layer to make sure it's complete level, we're going to be taking two to four inch gravel and then it's going to be going around the sound tube. That way it doesn't cave in again like the first day. Okay. Now we have water in the hole. So they're trying to figure out how much water we have. Then we'll have to at least we know what we need to do now. We need to take that bucket with the ratchet strap and bail it out. Two feet of water? Not bad. We're good. This is the most important part. Karen Blavor at this stage. Not going to lie. We do it, but I was very scared at the same time. But if there's anything I know about Crystal and Jasmine is they can get through anything that they put behind it. So perseverance and sometimes acceptance that things don't always work out but. Yeah.  Are you used to things that are working out? I was like, yeah. Zero expectations today I had. Just the way she goes out here. It's a memory. It's done. I'm forever a part of the cabin. Thank you. Just feeling super grateful for everyone's help. It was determination that got us here. And heart. Yeah. It wasn't anything but that. Everyone wanted it to happen. So that's why it happened. It went up and down for sure. Yeah. All of a sudden you're on a high and then boom. I'm crashing down when the hole gets filled with water again. The whole week was like that though. Yeah. Ciao, Pac. Ciao, Pac. We love you. Couldn't do without you either. Yeah. Very tired. Good work today. You're 10 out of 10 working today. You were. You were doing so good. How are you? I could fall asleep like this if you could hold me up. Same. Please do.


Now we can see that this elevation data has been applied to the map. Let's just remove this pin point for the location so we can see things a bit more clear. We do that by clicking on the X next to the search box where we searched for our location initially. Let's clear this map and add in an example where we're working with some of the health data that we've been using in training land. Now as we mentioned earlier, training land is a fictional location. We're going to remove the initial background layer from this example because training land is essentially sitting in the middle of the ocean. So I'm just going to deselect the OCM light layer from the layer stack. This gives us a map with no background. We discussed earlier the different layers that are available through the interface. Let's add in the boundary layer for training land. In order to add the boundary layer, I go to boundary layer and and click on edit layer. When we open up the boundary layer, it asks us to select the organization unit levels. We've been discussing the use of organization unit levels in the data visualizer and the pivot table. The same principle applies now to these boundary layers. In this case, let's select an administrative boundary. We can select the districts for all of training land. This will display all of the boundaries for the individual districts within training land. There is the second tab referred to as options. Here we can add the labels. So in this case, if we say show labels, it will show the labels of the districts. Once I've selected the organization unit level, I click on update. You can see that it adds in the boundaries of the districts for training land. If I hover over one of these districts, it will give me the name of that particular district. Note that in this example, I have training land highlighted and that's why it shows me the boundaries for all the districts in training land. This is the same as our other organization unit selections in other examples. So if I only select animal region and say update, it will only show me the districts in animal region. So just make sure you have the proper parent organization unit selected when you're working through these examples. I'll switch back to showing the districts in the country.