Good morning. I'm going to call the session to order if I can. We're going to have three presentations in this session. The first will be the titles on the slide there. Making Library of this collection is discoverable on the web. Ted Vaughns from OCLC is going to present. I'll let him and the other speakers introduce themselves in more detail. By the way, my name is Tim Cole from the University of Illinois, Urbana-Champaign. And along with Gina Sarrell, I'll be doing the second presentation exposing the UIC Library catalog as linked open data. And then the third presentation by Kenny Natchlet from Montana State University, establishing semantic identity for accurate representation on the web. Cover a log round with these. We're going to ask you to hold questions until the end. And we're ready to get started here. I'm going to do my best to keep the presenters on time. Thanks. Thanks very much, Tim. This is a strange room. The fans are blowing on the chandeliers so they make this delightful little tinkling sound appropriate to the season. I feel like I'm in a school play up here with the holiday times. So I hope our presentation is as pleasant as the surroundings. So I've got the first part here. And I think, you know, as we prepared for the for the session today, we go sort of increasingly more specific and in detail. So it's a nice transition through the three presentations. I'll talk at a somewhat of a high level and in a few areas about thinking about, you know, exposing library collections on the web. How can that be more effective? You know, what are the main issues? What's the way to sort of, you know, position our brains, if you will, to, you know, to getting there, you know, with the goal of maximizing the impact of libraries? And then, of course, we'll hear more from Tim, Janina and Kenning about, you know, details. How can these things be accomplished? So first, thinking about some trends and, you know, where we are in libraries in trying to maximize the use of our collections. At OCLC, we think about a few different trends, the shift from collections to services, particularly in academic libraries. This is a clear one, you know, representing the decades shift from books on the shelf to to all of the things that a library offers and wide array of services. Search for distinctiveness. So, you know, we hear so much about born digital collections or, you know, special collections materials that are only available uniquely from an institution. So that's a real driver, particularly in the first context, where you're, you know, shifting from, you know, books on the shelf in a traditional sense to a wide variety of sources. So we think about that as search for distinctiveness. And in those, there's sort of this, you know, improvement in library workflows. How can we make things more efficient? How can we make it more effective in the systems that we use and the metadata that we use is the important part for us at OCLC. The last one is kind of our theme for the day, and that's be found on the web. So it's related to the other two, but has a special meaning in the context where we see the trends and how people come to information, how they fill out their whole research process. And there's any number of presentations on, you know, whether people use Google First or Google Scholar First or some specialist materials. And I will go into all that. We sort of take it for granted that there's value in the technical techniques, the tactics of getting library collections better positioned on the web. And so that's an important one and will be the theme throughout today. So, you know, we think from an OCLC perspective, you know, what can we do to help libraries be found on the web? So we think about a few different things here. One is a very broad ecosystem. So there's a bunch going on in this picture. I'll walk through it a bit. The top is kind of what we know today as the web environment that's enriching the discovery experience on the web. So we have, you know, DBpedia and Freebase and these various things that we know enrich the user's experience on the web. And, you know, I've got a little tiny thumbnail there of the knowledge card that is now frequent, you know, throughout the web and search engines. And so the question here is, you know, is there an environment for libraries that mirrors that? Is there an environment that we could create that would allow libraries to manage data at a high level of quality and then make it available both to the web, but also to our own discovery and other services? So that's kind of the picture on the bottom there, you know, could we create an ecosystem that's informing both of those things? And so a lot of what I'll talk about today, and I think a lot of what other folks are talking about today will address that. And then on the right hand side are the users. So I made them the biggest in the picture to remind us that they're the most important. And so, and then, you know, sort of, it's the library that is the agent in all of this, I believe. So the library will, you know, create an environment where high quality metadata can be managed, but managed in such a way that it's present in this ecosystem, that it's not siloed or managed in unknown formats. You know, you don't want to be in unknown formats on the web. So this is kind of a long term vision, and I'll come back to this at the very end. In the meantime, I'll talk about some things we're doing at OCLC and some of the things we think about. So the library knowledge graph, this is a term you may hear occasionally now, more and more talked about. I think it's a nice one.  That's not only an important technique for being known on the web, but also sort of, you know, sound data management principles, and we need to catch up to those in a way so we can create a library knowledge graph. So features of the graph are, you know, from an end user perspective, things like knowledge cards, you know. So we ask the question, you know, can we create knowledge cards, you know, specifically in the library environment, you know, for our own discovery systems but also make them available to the web. So just an illustration of, you know, some of the components. I see some threads, you know, Dean's presentation yesterday on, you know, what they're doing at Cornell and link data for libraries group, but, you know, they're these key entities, you know, persons and works and objects, and it's nice to see that theme repeating again and again. And it says, you know, we're at the end of the era of the record as the dominant model for managing our data, and we need to move into an era where, you know, we can create these things. These entities either derivatives now or in the future sort of born entities, naturally born entities. So we can be part of that graph and part of that ecosystem that I described. So, you know, we want to make connections. We're starting to talk at OCLC about sort of, you know, relationship based discovery instead of inventory based discovery, which is kind of the, you know, the model of yesterday. So, you know, thinking again about the context of the web, we aren't inventing these things. This isn't Ted or Dean or Lorke and Dempsey are saying, you know, what if we had this graph of things? You know, this is really how things happen on the web. And it's important to keep that in mind that it's useful to understand these trends and say, well, could we position library data that way and make it available where it should be? And you can see in the commercial environment, you know, they've got their own pictures of graphs because that's how it really works, not because it makes for pretty pictures. Again, thinking about the, you know, the environment out there, I have no idea if Amazon has a fully developed graph environment behind the scenes. I don't actually know that. But we can see in the results that what they're striving for is a user experience that is easy to navigate, easy to understand. And that's a contrast from how we display data on the web in our own systems today. You know, so you could see here this sort of, you know, work and manifestation like arrangement, right? Where we have this worker expression, the English language version of this title by these authors.  How would you like to receive this thing? Do you want the Kindle?  In library systems, we would put this on six different screens and make people sort of navigate that in a complex way. And so we need to move away from that. I think the way to move away from that is really to understand the entities that we have. So this is the experience that users expect today. And so we need to acknowledge that and figure out, you know, a data architecture that supports it. So just sort of around the wheel here, there's lots of advantages, I think, to this graph model. So we've got this graph in the middle and we've got all kinds of library workflows around. And rather than diving here, I'll talk about each one of these in a little more detail. So entities and library workflows. So if we think about discovery, we think about, you know, transformation. I said this idea of relationship-based discovery. So, you know, what if our discovery systems didn't just produce lists of records, but, you know, actual persons and places and works and, you know, the things that users are looking for, even though they don't think about it that way. So this is, you know, thinking about the future and how we can get there. And then, you know, we start to speculate about, well, what would those systems really look like? So the first picture was me just drawing something in PowerPoint. This is an actual mock-up of what these things will look like as we transform the discovery model from records to entities. So whenever I show this, people say, I like that. I think that's nicer than the catalogs we have today. We've got some sort of proof or argument for this data model and the advantages that it can bring. So thinking about cataloging, I'll say a couple of things about this. You know, my list here of why an entity-based approach is an improvement for cataloging. You know, we can link to authoritative sources as a way to improve quality. You know, introduce kind of point-and-click cataloging and managing entities, consistency with RDA. I actually think those things are all true. But I'll also say that I think we don't really know much about what cataloging will look like in this entity environment because we don't have these entities sort of out there in the wild yet in lots of systems and starting to see what works and doesn't work. And it's only when we have that that we'll really know what cataloging looks like. And I think it's probably risky to even speculate about what catalog or try it until we have the data in the field so we know really what we should be investing in our cataloging systems and tools. So library exposure, this is the theme. So I'll zip over this one. You know, we want to be found on the web. We want to connect to unique content. So that's back to that theme of, you know, searching for distinctiveness. So here's the landscape. So we've got the search engines agreeing that, you know, entity-based systems are the way to go. From a data perspective, we need to, we, meaning, you know, the big search engines agree. This is how they want to mark up their data, how they suggest data be available on websites. So they're saying if you want your data to be found on the web, we recommend this way of doing it. And if those folks across the bottom can agree on that, we should listen to that. That seems like an important thing. So we have other initiatives going on. So we have a big frame. Library of Congress folks are designing, you know, a model for representing data on the web.  So that's certainly going on as a way to, you know, move us forward in explorations, experiments of, you know, how we will manage data in the future. Schema Bib Extend is kind of a way for the library community, for librarians and consultants and folks in the commercial ILS world to inform Schema. And it's working. It's quite amazing how the number of changes that Schema has made based on this librarian input. And it's very encouraging. It says that the web folks are savvy enough to listen to experts who really know about their data. And so that's been very, very, very, very positive. We think, here's how we think about data modeling at OCLC. Model things of interest to the web. So, you know, that means not necessarily just starting from what we know, start from what the web knows and what the web is telling you. And then make those things available in structures familiar to the web. So this is an argument for using Schema as a way to model things and a way to, you know, to actually make things available. Now, you know, certainly the folks at Google and all these places that are involved with Schema.org don't care about the level of granularity that we do. And so there's a gap there. So at OCLC recently, we've started to, we think, fill in some of that gap. There's something called bibliograph.net, which you can go to, which is our sort of experiment with taking Schema as a base, as a core vocabulary, and then adding some things to it. So we've added some things already around translations and we're about to add more things around persons. So that's our sort of suggestion. How can we go even beyond the Schema bib extend to round out the Schema work? Just a couple minutes left for me. So I'll go through these parts, which is, you know, here's some of the things that we've done. So we reached this conclusion, you know, we need to move from record-based model to entity-based model. So let's start putting the data out there. So we've created works and made them available. We will make them more available through our APIs as time goes on and also integrate them into our applications like Discovery. And so that people can start to see, you know, the value of that and the improvements. That we were just about to release a person entity and we combed through WorldCat and all the references and the bibliographic data to persons and we got actually a couple hundred million of them. And then we went through it again and we ended up with less than a hundred million because there are lots and lots and lots of persons that references in bibliographic data that look like the same person or look like two people, but they're really the same. So we're combing through and combing through, leaving some stuff out that we can't tell unambiguously whether it's a person or not. But it's still a really big data set. So we're using Schema. So we discovered Schema's pretty darn good for describing persons. People do it on the web. We have to add a few things to bibliograph.net and we'll do that. But this is really showing some progress, I think. And what else do we say about this? Available in, you know, various formats. So this is the nice part. So we start to make relationships between things. So link from persons to works and works from persons. And in the works we know whether there's a, the thing is buy a person and many, many different roles or about a person. You know, we can tell from the mark tagging and then we can put that into the works data. Okay, just finishing up here. Just an example of what the works looks like. Lots of links, you know, these aren't records. They're collections. They're assertions of links about a work and then about a person. So this is an early screenshot of a person. I think all I have here is just to kind of a roadmap of some things that we've done. So, you know, we started way back, you know, some time ago with Vof and Fast and in publishing link data have done a number of things. The last part is the most interesting to me and the most connected to getting our data on the web because it's, you know, it's getting this data into our applications so they can be seen. They can be harvested. They can accrue value over time. Last thing here is just coming back to our picture. You know, I think between our harvesting activity and integration into applications, you know, we really want to create this bottom environment here, you know, where libraries can collaborate at the network level, create high quality data so it can be available above and to patrons. Okay, I will be available for questions when we're done. We hope to have a few minutes left at the end so we'll see how we're doing. As Ted's ever gone, transition now from the general to some specific examples from Illinois and Montana State and Janine and I are going to talk about what we've done at UIUC specifically. And I want to take chair prerogative for just one second to comment on one thing that Ted was saying about the work with Schema.org and the Schema Extend Activity, which is taking place in a W3C community group headed by Richard Wallace. Illinois joined the World Wide Web Consortium this year and that alliance is proving to be very helpful. Some of you may have seen the presentation of Rob Sanerson and Karen Myers yesterday. Karen is actually a W3C staff about the work with the Digital Publishing Interest Group and Annotation Interest Group. They're the community groups which we've been involved in already. There's activity and data on the web for day curation. So the alliance and paying attention to what the Googles, the index and things and so on are doing for the W3C is turning out to be a very productive arrangement for us. So, as I mentioned, my name is Tim Cullum in the Mathematics and Digital Content Access Librarian. I want to give the knowledge, not only Janine and I are who are here today but also MJ Hahn and Patricia Lamperon and several others back at Illinois were involved in doing this. And basically we got a challenge from our new dean of libraries last spring, John Wilkin, who asked us to put the snapshot of our library catalog on the web, including detailed holdings information. So the goal was get our data out there and initially it was like put out as mark XML records which had been done in Michigan and it had been talked about elsewhere. But we said people aren't going to use the mark XML records for much. Let's put it out there's people who aren't as familiar with linked open data, I refer to this familiar with mark and the OCLCs of the world and so on can make use of the data. Let's see if we can transform it into linked open data to maximize its usefulness and support emerging services like those that Ted was talking about and take advantage of those services. One thing that allowed us to do was to assess and quantify the challenges of transforming our catalog records into linked open data graphs. And Jean has got to go through some of those. And also we begin to experiment not only with putting our data out there but integrating linked open data and linked open data services back into the services we provide our end users to give us a better idea of what's actually productive and important. And so that was a little bit of an overview of the project. I'm going to hand over Janina to talk about what we've learned so far along the way. Good morning. I am Janina Sarol, a visiting research programmer from UIUC. I will be describing our project workflow, the challenges we encountered, the lessons we have learned and our future plans. This is all still a work in progress and any questions or feedback will be much appreciated. So we started with almost 11 million volume level MarkXML records describing our print collections. For each bibliographically distinct entity, we combined bibliographic metadata with all associated ITEM and holding information to yield 5.5 million MarkXML records. These records were transformed into mods records so we could add URIs of available linked data sources such as WorldCat, the Virtual International Authority file, or VIAF, and the Library of Congress subject headings, or LCSH. This transformation consisted of a series of steps. The first was to transform the MarkXML records to mods records and at the same time add the WorldCat links. The next step was to replace the entity strings with VIAF links to the names. Lastly, we replaced the LCSH subject string values with the links to the subjects. We then transformed the mods records into RDF-triples that use schema.org semantics. We are serializing the RDF graphs created as RDF-XML, JSON-LD, and HTML plus RDF-A. In the future, we anticipate disseminating mods RDF and big frame RDF and creating additional services that use RDF-triples. In my remaining slides, I will be detailing interesting observations and findings to date. We decided to add WorldCat links to our records on the assumption that WorldCat records will generally have more information that is not present in ours. We generated the WorldCat link from the OCLC number. The example shown shows where the OCLC number was taken and how we represented it in mods. We were able to add WorldCat links to almost 5.3 million records, or 97% of our records. The other 3% have malformed or no OCLC numbers. Adding the VF links and LCSH links is different because in adding them, we need to do a lookup. We found an average of 1.57 names per record and added 1.04 VF links per record. This means that roughly two-thirds of the non-unique names have VF links. 3.9 million or 72% of our records contain at least one VF link. We can quantify our success in adding VF links in another way. We have 3.2 million unique name strings in our records. We found one link for 1.8 million or 57% of unique names, more than one link for 16%, and failed to find links for 27% of the names. We only added the VF link if there is exactly one match. Note, there are 1.8 million unique names with exactly one link, but we added about 1.7 million unique VF links. This is because two different name strings can point to the same person and hence the same URI. A couple of examples are shown on the screen. The first example shows one name string with the birth date and death date of the person. The other name string only has the name of the person. In the second example, the first name string is the real name of the person and the second name string is his pseudonym. For this first pass, we decided to only add links for LCSH subjects. LCSH subjects can be simple or complex. Simple subjects are a single word or phrase. In the example, the simple subject shown is a topical heading pertaining to the Vietnam War. Complex subjects are a combination of two or more simple subjects. Concatenation is indicated in the string values by a presence of dash dash. Subject headings appearing after the first dash dash are typically subdivision headings, which often have a distinct URI different from that of the authorized heading. We consider this distinction in adding the subject heading links. The complex subject in the example is songs, English, dash dash, history and criticism. The link for the second subject subdivision, which is history and criticism, is a link to a topic subdivision. But there are some cases that we could not find a topic subdivision URI and in those cases, we use the authorized heading URIs. So almost 7 out of 10 LCSH subjects in our records are complex subjects. Out of the remaining 30%, most of these subjects are topics. We were able to find 95% of the single subject topics, but only 41% for the complex subjects. Once all available link data source URIs have been added, we're ready to transform mods records to RDF triples. We decided to use schema.org because it is used by major search engines and I think it will be good for discovery. We had no problem mapping most of the mods elements to schema.org. In the elements listed, only the place of publication is not present in the native schema.org vocabulary. We used the proposed library extension to map the place of publication. But some mappings are more complicated. The name is mapped to a schema.org element depending on the role. For roles author, creator, editor and illustrator, we used the same semantics in schema.org. For all other roles, we used the contributor since no specific semantics represent these. We added the job title to specify the person or organization's contribution. We decided to map the subjects to schema about, but this is hard to describe the complex subjects. We decided to use the mods RDF namespace, which is also used by the Library of Congress in subject headings. The label on the left shows our mapping from mod subject type to mods RDF. Notice that we used schema haspart for each individual subject that is part of a complex subject. The use of haspart implies a creative work, so we are treating the mods RDF subject as a creative work. The next step is to provide additional services to our users with linked data sources. We created an HTML page that contains schema.org semantics. Instead of just adding the URIs of our linked data sources, we got their data strings and displayed them on our page. When available, we also fetched supplemental data from WorldCat. In this case, for example, the copyright year is taken from WorldCat. Sorry, the image is not very visible. The left side bar shows links to our VU fine catalog, the mark XML record, the mods record, and digitized copies of the book if present. The links at the bottom show the views of the same record in other websites. We got the data on this sample page from six different sources. Our own record, WorldCat, VIAF, LCSH, OpenLibrary, and the HathiTrust Digital Library. We had some interesting lessons and observations in our project. We learned that turning strings into URIs is a complicated task, specifically when lookups are needed. There are issues of scale, completeness, data quality, and ambiguity. When finding millions of URIs, the web services provided by the organizations do not suffice. These services often allow one lookup at a time, and when you're doing it for millions of lookups, it will take a very long time. Fortunately for us, the VIAF and LCSH data are downloadable, but it still imposes the issue of having to create our own search algorithm, which is most likely different from theirs. We also have the problem of ambiguity, especially with names. If we get multiple results, how do we know which is the correct URI? With this issue, we decided to add the URI only if there is an exact one exact match. When turning our records into graphs, we found that there are competing semantics for mapping to RDF. The library community needs to coalesce around optical semantic sets, extensions, and mappings. Currently, models and services that leverage linked open data in the library context are immature. Many organizations are still in the process of experimenting with linked data. Looking ahead for our institution, we would like to release the RDFs we created for our catalog, both for download and VL Sparkle endpoint. After we release the RDF, we will continue to explore and experiment with new services and interfaces that would help improve our library user's experience. You can go to our website at catalogdata.library.illinois.edu to get more information on this project. We also made our records available for download on this site. We're hoping to get your feedback and you can send us a note that the email address has provided. So now I will turn you over to Ken for his presentation. Thank you. So this presentation is about a specific aspect of the entity-based discussion that Ted started with a little while ago. And it's really about helping search engines like Google understand and accurately represent your library organization to users. So it's a continuation of the things, not strings discussion. I'd like to thank Patrick O'Brien, who couldn't be here today, but he helped me put this presentation together. So the point I want to make is that libraries are poorly defined and represented on the Web, specifically. Now, most of you, I'm sure, know about Google's Knowledge Graph. This is a knowledge base that's essentially invisible to us that Google introduced in 2012. And it's intended to enhance search results with semantic search information gathered from a wide variety of sources. So far, Google has rolled out three visible products from the Knowledge Graph. The first is an answer box, which really provides answers about, or facts about concepts that haven't necessarily been established as identities. The second is a carousel. And the third, which is the one that I'm focusing on today, is the Knowledge Card, which displays information about entities. And it's usually organizations or people. So I'm going to focus on the Knowledge Card, for example, of each of these. So this is what an answer box looks like in Google search results. Here I did a search for biofilm and instead of just giving me a set of websites, it also placed an answer box at the top of the results and gave me a definition of biofilm. This is an example of a carousel, that nice bar across the top. I did a search for NBA teams and it's showing me the logos of the NBA teams. And then over on the right side, you can see an example of the Knowledge Card, which gives some pretty robust information about the NBA itself as an organization. I did a survey of ARL libraries just a few days ago, 125 of them, and I searched each one in Google by the name of the library that's listed in the ARL directory. And I did a simple yes or no, did they have a Knowledge Card or not, and then I also assigned a robustness scale, which admittedly is slightly subjective, but I think you'll agree that at least the endpoints are pretty easy to figure out. If you, a robustness measure of one would be a pretty poor representation and a five would be very robust. So here's an example of what I would score as a five. The Library of Congress has a very robust Knowledge Card over on the right side. It provides a graphic of the Library of Congress, a map, a definition about the organization, the address, hours, phone number, and some other information including reviews. That's about as much information as can be displayed in a Knowledge Card. So that would have gotten a five in my scale. This on the other hand doesn't represent a one. So there's really, this indicates that there's really no information out there that Google can draw from to authoritatively establish Cornell University Library as an entity, as a thing. And this is an example of what no Knowledge Card looks like. There's simply a blank space on the right side. So here are the survey results. 43 of the 125 ARL Libraries had no Knowledge Card at all. 82 had a Knowledge Card. However, 10 of them were incorrect. They pointed to something else. 29 of them I assigned a robustness of one which left about 43 that had a Knowledge Card that had some kind of information. And a two isn't particularly good either. I mean it's just got a very little bit of information. So the point that I'm trying to make of course is that most libraries are not very well represented on the Semantic Web. And if you go back to that NBA team, NBA teams example, the NBA and many other organizations in industries are very well represented if you do those searches. Unless you think that I'm unfairly picking on ARL Libraries, let me assure you that I'm not. Because this problem hit me square between the eyes when I first got to Montana State University in 2012. I was on the job just a couple of weeks and I did a search in Google for Montana State University Library. And this is what came up in 2012. First of all, there's a very unstructured set of links, just organic links over on the left side. But the real problem, and a very poor definition that you can see by the arrow pointing to the description under the link. The real problem was over on the right side with the knowledge card. Because this was not the university where I was working. This was the knowledge card was pointing to a branch campus in Billings, Montana. Not in Boseman, Montana, where the flagship Montana State University is. So clearly Google had no idea that we existed. This is what we look at in 2014. So there's hope and we pretty much know how to fix this problem. As you can see over on the left side, there's a nice description under the initial link of the library. There's an accurate address. There's a structured set of links that reach directly into our website. There are more results from Montana.edu domain. On the right side you can see that the knowledge card is actually including our Google Plus profile. So it's pulling that in.  Now this is still not a very robust knowledge card. I would probably give this score this about a three. But it's far better than what we had. There's still work to be done. So when I realized that we had this problem in 2012, I started to ask where does Google get its information? Well, we've all seen this as the linked open data cloud. And at the center of that cloud is dbpedia. Dbpedia is the structured data that's drawn from Wikipedia. And that tends to be the primary source for where Google gets its information. But not the only one. You notice over at dbpedia, you probably can't read this, but there's another source called Freebase. And this is another knowledge base that Google acquired some years ago and has become another primary source of information for Google's establishment, authoritative establishment of entities. Basically what I found out is that if you don't have an article in the library about the organization, then you don't exist to Google. You exist only as a string of sometimes confusing text. Other influences including Freebase are Google Places, which is sometimes now I think referred to as Google My Business and Google Plus. There are others as well. There are other signals or other sources that they take from. But these are the primary ones. Sure enough, in 2012 when I went to Wikipedia and did a search for Montana State University Library it came up and said Montana State University Library does not exist. So, here's what we look like today. We have a full good article in Wikipedia that's populating dbpedia and Google is drawing from there. So here was our dbpedia entry in 2012. You can see it recognized that something was there but it showed the message down below that said no further information is available. The requested entity is unknown. Here's what our dbpedia entry looks like in 2014. A very rich, very robust record and this is the structured data, again that Google pulls in into its knowledge graph and uses to populate the knowledge card. Our Freebase entry in 2012 was created by a bot on March 10 of 2012. It recognized that there was this thing called the Renny Library which is the other name for the Montana State University Library but it didn't know anything more than this thing this thing was maybe there so there was no other information. In 2013 five days five days after we published the Wikipedia article about Montana State University Library Freebase created another entry for us called Montana State University Library. We then went in and did a same as Renny Library is the same as Montana State University Library and if you go out and you do a search for your own libraries I encourage you to do this search all the names of the library as you know it whether it's Cornell University Library or Olin Library however you know it search all those variations and you will probably find everything from no knowledge card to knowledge cards that don't match up to inaccurate knowledge cards. So here's our Freebase entry currently Google Places in 2012 again Google realized there but it said the entry was unverified nobody had claimed the property here's our Google Plus entry in 2014 and again this is also helping to populate the knowledge card so in summary it's very important to define the library organization in Wikipedia but it's something that you have to do very carefully and if you're free at one o'clock I would encourage you to attend the early profit and Jake Orlowitz's presentation on Wikipedia in libraries because I'm sure Jake will talk about the Wikipedia culture and how you can't just throw up an article because it will in all likelihood be kicked out of Wikipedia it has to be a very well-cited, well-researched article that's not obviously self-promoting it took us probably three months I think to get our article up and engage with other trusted data sources according to Google so Freebase, Google Places Google Plus and then as Ted and Janina talked about mark up your websites with schema.org schema.org is supported and recognized by the major search engines so again the point is that libraries are poorly defined and represented on the semantic web but we know how to fix that problem mostly and I just want to give some recognition to our semantic web research team at Montana State University and OCLC and also acknowledge my appreciation for IMLS for continuing to support our search engine optimization and semantic web research thank you


Hi everyone, I am Dr. Saravanan, finally at PG from AVMC, Kondicherry. Today my topic for a paper presentation is a Gasic Piper Bazaar. Under the guidance of Dr. Prof. Sethish, Bazaar is a collection of non-digestible matters that usually accumulate in the stomach and can extend up to the small bubble. Lycomasus are the concretions of air and they are very rare presentation and usually found in young psychiatric females. They should be diagnosed and managed early despite their rarity so as to prevent complications like obstruction, perforation and bleeding. Bazaar is a rare cause of intestinal obstruction with an incidence of less than one percentage. Human hair is resistant to digestion and peristaltic movement because of its smoothness. Continuous incision of hair over a period of time can lead to the infection along with mucous and submaterial into the stomach. In some cases, however, the pycomasar extends through the pylorus and into the degenerate medium or even fauna. This condition is called the concerns syndrome which was first described by Bhagavad Gita. The patient, 18-year-old female patient, hasn't received complaints of the on and off vomiting for six months and a loss of appetite for four months and pain and lump in the abdomen for two months. On general physical examination, the patient was simple, well-looking female. Optimal examination will define smooth and hard intra-optiminal lump of 16-9 cm in the epigastric region. She had no history of fever and the pulse rate was normal and the bed pressure was 110 bar-70 kg on a systemic examination. The CVS and respiratory systems were normal. The patient was then referred to the radiology department from Sanjali to rule out any spheric mass. First, the patient came to the x-ray department. This is an AP abdomen radiograph showing the dilatation of the stomach by an upaski that occupies almost all of its gastric region with air around and total displacement of the transverse colon compatible with the gastric mass. Then ultrasound of the mass was done and it shows a linear, acoustic mass in the form of an arc passing posterior-acoustic shadowing. Then the patient was referred to CT abdomen. Abdominal scan with contrast medium shows the gastric lumen is occupied by heterogeneous material with predominance of low-density mass arranged in concentric wings of different densities and surrounded by oral contrast medium. Abdominal scans with contrast medium shows extension of gastric lumen material towards the first and second portions of the uredinum, favoring for upper-enzyl syndrome. The patient was then taken for gastrostomy. This is the specimen of the tricovisor extracted from gastrostomy in which a cluster of air is observed that adopts a contour of the stomach and the proximal uredinum. Diagnosis is the last tricovisor extending till the second part of uredinum known as upper-enzyl syndrome. This is a rare cause of intestinal obstruction with an incidence of less than one percent. Patient may be asymptomatic or exhibit non-specific symptoms such as epigastric pain, blotting, nausea, vomiting, pain plus or gastrointestinal injury. Abdominal CT scans are the study of sites for identification and evaluation of complications as well as to detect additional visors in the rest of the gastrointestinal tract. Ultrasound must be described as a characteristic finding. The linear arc-shaped acoustic band with a posterior acoustic shadow. The tricovisor is lost in the stomach and its distal part extends distally to the small intestine or descending colon. It is known as upper-enzyl syndrome. Other complications that may appear are perforation, keratinitis or formation of abscess. The differential diagnosis or remains of food in the stomach or the fecal matter in the intestine or peak the sign seen in the intestinal obstruction. Treatment of tricovisor is surgical. Laparotomy is the method of choice by means of gastrosomia and mass extraction or performing. In some cases, laparoscopy and endoscopy are occasionally done, depending upon the size of the muscles. Psychiatric assessment is needed for patient support and relapse of progression. Diagnostic images are based in the diagnosis of a bizarre because due to its non-specific symptoms and it is not clinically suspected. Diagnosis of a psychosis is possible only on imaging. Psychiatric and medical sequelae of pyrgitolomaniac should not be underestimated. Early diagnosis and treatment is really important to save the patient's life and recurrence. Laparotomy is considered a best treatment option. Although pharmacotherapy and behavioral assessments plays a useful role in patients' management. These are my references. Thank you.


This is your first big meeting.  Johnson! I'm so glad you made it. Alright everyone, sit down. Let's focus up. Get this meeting started today, please. Alright. So you know the reason we're having this meeting today. I don't believe we've met.  Richie Ethel? Sales? Alright guys, obviously we took a hit last quarter. I do not want to see numbers. Daniel! Good job taking notes, man. This is what sets him apart, alright? You guys pay attention. Let me break it down for you guys on the board, alright? These are people who love dogs. These are people who love salons. This is our target demo. Right here, alright? We need to find these people. We need to get marketing on them and get these people in power. Scores! Yeah. What's been the problem? We can't blame marketing. We've really wrecked them. Itchy to implement these new strategies. Yes.  Only marketing would dig up some new research.  I just emancipated my three-year-old. I tell people they're in my wealth, even if they aren't. I killed a woman.


ThinkTech Hawaii, civil engagement lives here. Likeable signs on a Friday, it is likeable on a Friday. Fact is likeable all the time, depends on how you approach it. Okay, and Ethan Allen is away today, so I'm the host for this. My name is Jay Fidel here on ThinkTech, and we're talking about moving medicine forward technologies at the frontier with a doctor, Dr. Bob Peterson. Welcome to the show, Bob. Thank you. Great to have you here. You are kind of a techno person, aren't you? I am indeed. In fact, you're trained as a techno person. Oh, I went to graduate school in engineering before I went to medical school, that's right. So why don't you stick with the number one, you know, number one education? Why don't you have to go to number two? When I was in graduate school, I was designing control systems for heart-lung machines, and we needed to test them out on animals. So we had to do animal surgery, had to do heart surgery and put in these assist devices on animals, and as the graduate student, of course, you always get all of the dirty work.  I said, okay, I'll go to medical school. If it wasn't for surgery, I probably would have stayed in engineering, but surgery is really very, very interesting. What's interesting about surgery? Every case is different, but they have similarities and their differences, and it's one of projects that you do. So every surgery is a project. Every surgery, you do it, and then you have an end point, and you can evaluate yourself on how well you did, and as I said, it's always different. In any surgery, there's probably a thousand different decision points that you make, and then some, many of them, of course, are based on experience that you've made those decisions before, but they're always new ones in every surgery, so it's endlessly fascinating. It's fair to say that there's more ways to do it in surgery, in other words, it's not just one way, it's right. You can get home, you can get to a good result in a number of ways. Is that true? Oh yeah, of course that's true, and no two surgeons are the same. I'm a plastic surgeon, and if you ask 10 plastic surgeons to do a specific case, they'll do it 10 different ways, and they'll give you 20 different options. So why did you go into plastic surgery, as opposed to other kinds of surgery? When I was training, my very first rotation in training in surgery residency was with a wonderful plastic surgeon here at Queen's, named Dr. Don Parsa, and he made it seem so interesting that I always kind of kept it in the back of my mind, and as the surgery training progressed, what I discovered is that plastic surgery has the greatest bread of things that we treat, and there's a certain artistry in plastic surgery that I found very interesting, but mainly was the breadth of surgery that we do. We operate on all parts of the body, and we operate on a large number of different types of things. But plastic surgery has its challenges too. For example, there's a lot of plastic surgery operations that are not covered by insurance, they're discretionary, and people, they want the plastic surgery, but there's no insurance to cover it, which leaves you in a position where you have to organize a business model that can capture those cases. I mean, how challenging is that? That's a great question. Medicine now is just facing up to the fact that patients have choices. We in plastic surgery have faced that for the past 25, 30 years. That's been the nature of my practice, and we've been subject to market forces much, much sooner than the other branches of medicine, and organizing a practice to deal with those market forces was very interesting, and it taught me a lot. When I trained, I did a lot of reconstructive surgery, which is insurance reimbursed.  Cancer operation. Breast surgery. Reconstruction. Right. Well, I trained in pediatric plastic surgery, and I did a lot of cleft lip and pallid, you know, craniofacial surgery, congenital hand surgery, burns, things like that. But in cosmetic surgery, you don't have insurance reimbursement. So there's a lot of competition to get those patients, and you have to be very sensitive to the consumer's demands, and that's actually probably a good thing. I mean, medicine has been shielded from the patient's concerns for a long time because of the insurance model and because of the monopoly that medicine has. So it's not much of a competition. You have to do what you have to do. Right. That's right. And so having been shielded from the patient's concerns, doctors perhaps became arrogant or maybe not too sensitive to the patients as much as they could have been. That's changing now, and I think changing for the better. But in plastic surgery, that was a big concern. Patient comfort and satisfaction were critical to doing your job. Because it's word of mouth, isn't it? Yeah, word of mouth. So I was fortunate after my plastic surgery training, I went to China, and I did work in hand reconstruction at a big plastic surgery center in China. Did people who were injured in industrial accidents, that's a good thing. They had a lot more industrial accidents in China at that time back in 1990 than we did in the United States because the worker protections were not nearly as sophisticated as we have here. And one of the things that was very interesting is that they didn't use general anesthesia. Almost everything that they did was using local blocks or spinal anesthesia, something like that. So I was unaccustomed to that. In the United States at that time, especially, everything was done under general anesthesia. So when I came back, I adapted those techniques and I felt that it was safer and also the patients are more comfortable when you do that because we would have to numb them up to do the surgery. And the nice thing is that when you're done with the surgery, they're numb. So I advanced that in my practice and made it so that the need for narcotic pain medications was almost completely eliminated. And so I was swimming. Also the risk, the risk of respiratory secondary problems and the need for equipment to cover those problems and so forth, you can do it in your office instead of having to go to an operating theater with all the equipment. That's right. But the main thing was that the patients were just much more comfortable. And so the final frontier for us was abdominal plastic, a tummy tuck, being able to numb that completely up. And about 15 years ago, I reported a series of 100 consecutive tummy tucks and the average number of pain pills that they took in the first day after surgery was less than one.  Some took none. Some took one. That's pretty good. But the average was about a half. So I thought that was really good. And the nice thing is that we were swimming upstream against the opioid crisis that has developed in the United States because we weren't causing pain. We were preventing pain and then not having to treat it with the opioids that have then gotten out of control subsequently. And that was just a lucky side benefit of doing it that way. Well, it's kind of a modern drift, in other words, after an operation, I would call it a classical operation, a conventional operation, not a cosmetic operation. People or any procedure, people are encouraged to leave the hospital earlier. Right. Right. After childbirth, for example, leave the hospital early. We don't want you here. Right. Not only because of the risk of being in a hospital or a MRSA or whatnot, but because you'll do better at home than hanging around here. That's right. And so this is all very modern and progressive, isn't it? It's the same thing you're talking about. Right. Let's get you out of here. Well, there are two parts of it. One is that if our patients would get up, at the end of the surgery they were numb so that they didn't hurt, they would get up and they would walk out. And then even our timing techs would come walking in the next day and they weren't sore. And the reason is that there's something called the gait theory of pain.   And so the brain doesn't pay attention to it being sore. And so the requirement for pain medication is much, much less than somebody who wakes up sore, you know. So what we do is we numb up, as I said, we numb everything before we cause anything sore to happen. The downside of that is that it requires time at the beginning of the surgery. The first half hour or 45 minutes of the case, I spend numbing everything up. And it has to be you. And it has to be me. Well, it doesn't, I suppose, have to be me. It could be an anesthesiologist or something, but it is me in our practice. And surgeons are very impatient. They want to pay. Once the patient is asleep, boy, they want to do surgery. Our patients are groggy but awake, breathing for themselves.   So you don't need to be as heavily sedated. And then once it's numb, we do the surgery. And they can stay very lightly sedated during the surgery because it's numb. And then because they've only been lightly sedated, they wake up very quickly at the end of the surgery. I can see how this would help your practice and make you more competitive in the plastic surgery world. But there's more here than just that.  They're not entirely behind the curve in China. They're thinking about these things. And they come up with something that actually looks pretty good as against American medicine, which is not necessarily the best in the world these days, actually, and you bring it back. It's sort of an arbitrage of ideas.  You employ it in your practice. And voila, you're using technology that you gain somewhere else, using it to improve the patient's experience and also to leverage yourself in a competitive market. That sounds pretty good. It probably suggested to you at some point that technology, the kind of technology you could find and develop, is a good thing. Indeed. Absolutely. And it still is. There are still things. I still go to China pretty much every year. I have good friends in China. And as you said, when I first went there, they were very resource-poor in terms of their medical care, but they were smart. And they thought about things very carefully, and they did the best with what they had. They've become more resource-rich over the ensuing 25 years, but they still have some really good ideas. And there's things that I see there that I think, wow, I wish I could do that back home because that's a good idea. What stops you? The FDA. In particular, there's something people have been working for years on trying to make a better facelift. And as I said, if you have 10 plastic surgeons, what's the best facelift? You'll get at least 10 ideas, probably 20. And most of them will be the way I do it. That's the best way. But there are some things that are really better. People have been trying to minimize the incisions for facelift for a long time. And there are little thread-lift things that people have tried in the United States. And they've been around for about 20 years, and they've never worked out. And so you put a string from here to here to lift things up, and it'll lift it up for a little while. But what happens is that as soon as you open your mouth or move or sleep or do something, that the thread will either break, it will pull through, or it'll tear the tissue. Something will happen to it. So the threads have really never worked out. The static threads have never been popular in the United States. In China, and there are some people that say, oh, you do this, do this, and try various different things to try and make it work, and it has never really caught on. In China, they did something very ingenious. Instead of having a static suture to lift from here to here, they put an elastic suture. So at rest, it's under slight tension. When you move, it will get under a little bit greater tension. And when you stop, it will go back to its rest tension. A static suture doesn't have any rest tension. And if it does, when you open, you'll break that rest tension. And when you go back to neutral position, there'll be no tension. So why doesn't the FDA approve the elastic suture? The politics and the finances of approval. It's not necessarily a rational decision. No. I think the FDA would approve it, but nobody is willing to put the millions of dollars that it would take into getting the approval because they don't view the market as being large enough to make it worth the investment and to get return on an investment for something that's perceived as having not that large a market to be able to amortize your investment in the approval. This sounds like a problem that goes beyond sutures. Yes. It sounds like a bureaucracy that's slowing us down and going to the question of, is our medicine the best in the world? And the answer is probably no. And this kind of thing stands in the way of technological advancement, doesn't it? Yeah. Let's take a short break. This is Bob Peterson. He's a doctor. He's a plastic surgeon. And he's got a degree in technology and he's got a degree in medicine. And we're going to talk about how this comes together and how, in a perfect world, you can use technology in so many ways to improve a medical practice and pretty much everything else. We'll be right back. And Aloha. My name is Calvin Griffin, a host of Hawaiian Uniform. And every Friday at 11 o'clock here on Think Tech Hawaii, we bring in the latest in what's happening within the military community. And we also invite all of your response to things that's happening here. For those of you who haven't seen the program before, again, we invite your participation. We're here to give information, not disinformation. And we always enjoy response from the public. Join us here at Hawaiian Uniform, Fridays, 11 a.m. here on Think Tech Hawaii. Aloha. Hello. I'm Yukari Kunisue. I'm your host of New Japanese Language Show on Think Tech Hawaii called Konnichiwa Hawaii, broadcasting live every other Monday at 2 p.m. Please join us where we discuss important and useful information for the Japanese language community in Hawaii. The show will be all in Japanese. Hope you can join us every other Monday at 2 p.m. Aloha. OK, we are exploring technology in the medical practice with Dr. Bob Peterson. This is so interesting. It's the kind of show I love. So no limitation on money, no limitation on approvals, OK? Take the FDA out of the picture for now. What's your dream suite? What's a medical practice? What kind of technologies would you bring into, you know, a medical practice to make it work really, really swell? Well, the electronic medical records, if done properly, actually are very useful. Unfortunately, they're also oftentimes a bit of a burden, but as we were talking before the show, one of the things I developed about 20 years ago was a cloud-based medical history product, and it's never caught on.  People don't read them very carefully. They're more or less accurate. And it would be much simpler if you just went and said, here, here's my identification number. Look it up. You know, print it out if you want it, or download it into my file. What advantages would that provide to the average patient to have that?  That's the first thing. The second thing is, you know, I personally have had a hernia surgery. I don't remember when it was. I mean, it was a while back. It was years ago. I don't know if it was 2010, 2008, 2012. You know, this is sometime around there. If I had it online, I wouldn't have to remember anymore, you know. When I go to the doctor's office, have you ever had surgery before? Yeah. When? I don't know. A while back. People frequently forget what medications they're on.  And that can be very important information. That's incredibly important information. Okay, so let's just diverge on that point for a minute. Medication errors are thought to be a major source of problems for people in the United States where the medications will interfere with each other or they'll be additive or, you know, they'll be something. Surprise cumulative effect. Exactly. So, if you were to have all of your medication information on the cloud where it would have your doses that you take, what the medications are, and you would then be able to run an artificial intelligence program on that set of data, and it would be able to say, hey, you're taking two medicines that have acetaminophen in it, and they're adding up to pretty close to a toxic dose. Oh, and by the way, the way that that medicine is cleared is through the liver, through this one enzymatic pathway, and you're taking an antihistamine that also is running through that same pathway and kind of gumming up the drain, so you're at risk of having a too high level of this medication, or that that medication that you're taking is not a high enough dose for somebody your size. Because when we do medications, you know, what's the dose of aspirin, two aspirin, one or two aspirin, like that? Say two aspirin. Is it two aspirin for an 88-year-old, 88-year-old woman who's thin and emaciated and maybe not eating too well, and also for Kanishki? Well, it is. Should it be? Probably not. So, if the program, the artificial intelligence program, which could do drug interactions, but for ones that are interacting and all being drained out through the same plug, it could also look at your weight, and your height, and your age, and your gender. And even your family history. And then, so those things are simple, I mean, and then family history. Not only could it do that, if you wanted to include a link to your 23andMe genetic profile. Oh, wow. Then it could look, for example, to see if you are a hyper-metabolizer genetically of a certain medication or a slow-metabolizer. And I'll give you an example of that. There's a blood thinner that is metabolized by a cytochrome system in the liver called the cytochrome-19 pathway. And genetically, there are different types of people. There are people that are hyper-metabolizers. There are people that are mixed, and there are people that are slow-metabolizers. Well, this anticoagulant drug turns out to be a pro-drug, so the metabolizers turn it into the active drug. So it's called the CYP-219 drug. And if you take that drug in your hyper-metabolizer, your blood will be extra thinned. You're going to be at risk of having bleeding problems, for example, hemorrhagic stroke or any kind of bleeding... Like a hemophiliac. No clotting. That's exactly right. You're going to be similar to a hemophiliac. I personally am a hyper-metabolizer of that drug, which means that both of my parents have given me the gene that makes me a hyper-metabolizer. Both of my parents are on anticoagulants, and my mother was on that drug. So I said, since I know that I got that gene from you, and I know that I got the gene from my dad as well, you may also be a homozygote. You may have two copies of that gene, and you may be at risk. You should have a gene test to see if you are at risk for bleeding if you're taking that medication.  She's a heterozygote. So I got the SIP-219, the allele, that makes me a hyper-metabolizer from her, but she had one of those alleles and one of the wild type, the other allele. So she is not a hyper-metabolizer. She has a normal metabolism. So for her, it's okay to take that drug. But that's a very sophisticated analysis that I happen to be able to do because I'm a doctor, and I know that I'm a homozygote for that gene. But the internet could do it just the same way. The internet could do it just as well and much faster. And so if you were to put all of your drug information into a cloud-based program and then allow the internet to look at the drugs, because they're drugs that just are known to interact with each other. Warfarin and aspirin are known to interact with each other in everybody. You don't have to know anything about the person to know that that's a potential risky situation. Then you could also look at the person's weight, their age, their genetic makeup, things that are individual to that person that would maybe want you to alter the drug dosing, maybe space the drugs out a little bit more, maybe switch to another drug that isn't metabolized by the same pathway as another drug that they're taking that's more important.  And not only could it give you a really smart answer, it could give you an answer that's smarter than any human being could give you, because it could be the Watson of drug interactions. It would be able to factor in many, many variables that are too complex for an average person to be able to do, and it would be, if you took a pharmacist and gave them a month to do it, they may be able to do as good a job. But pharmacists have to do prescriptions every day, they don't have the time to do that kind of analysis. But you can do this on an automated basis. You can automate it. And the beautiful thing about it is that once it's automated, the machine doesn't care. The iteration just runs the thing. And you can do that for everybody. That would be a technology that's certainly well within the realm of what's currently possible. It's so obvious Bob. Why aren't we doing it across the board? We have the technology. None of what you're saying, talking about, is all that cutting edge. I mean, it's not all that remarkable. We know these things work that way, and we know we have artificial intelligence. We can build the logic to do exactly what you're talking about. Why don't we have it everywhere? I don't know. I wish we did. We have pieces. Well, part of the problem is that we have pieces here and pieces there. Most people's medical information is in silos, and the privacy laws prevent the silos from interacting. And so to... I thought we got out of that a few years ago with electronic medical records and all this, and it was sort of breaking down out of the silos, but I guess it never really did. Well, it's getting there. But for example, just in Hawaii, we have three medical information systems that cooperate to some extent. You have Kaiser, you have HMSA, and you have the military. And you could have medical records in each of those that are mutually inaccessible. The epic interconnectivity is very helpful. Now I'm at Hawaii Pacific Health, and at Hawaii Pacific Health, I can use the technology to look at people's medical records pretty much across the HPH system, and we can access out to the queen system. But the military is still... But if you had a situation where you put the patient health record information on the cloud, make it available everywhere in the world, have these artificial intelligence processing systems available on an internet site somewhere, it's so easy to do that, software as a service where the site is really smart. The world would be a better place, and patient benefits would be enormous, and medical... Doctor benefits would be enormous. You wouldn't have to pledge through this. You would have instant answers on exactly what to do from very reliable, if not mechanically automated systems. When are we going to get to this? Is it soon? I don't think it's soon, but I think we will. And we were talking earlier about the United States being at the cutting edge. I don't think the United States will probably be the country where this happens first. I think there's going to be Scandinavian countries that are going to beat us to it, maybe other European companies and countries, and maybe Korea or Singapore or some place in the Far East will be there before we are. Well, in order to get to a better place on this, use this technology and many others, we don't have time to talk about all of them, but I would really like to have you back and we can talk about so many more. It seems to me that you have to have patient education, the patients have to understand not only what the medicine is, but what the possibilities are, and get behind initiatives like the one you're talking about. But I get confused and I'm glad you're here because I've been meaning to ask this question of a doctor just like you for a long time. My wife and me, we sit together and we spend a certain amount of time every day watching television. And when we watch television, we see ads for warfarin and a million others, and they are giving us medical advice which is self-interested, it's the drug companies talking to us. They're not talking to the doctors, they're talking to us. As if it's going to make a difference in what we say to the doctors. And I can just see you're walking into a medical doctor's office, maybe this has happened to you. You know, Dr. Peterson, you know, warfarin, I've been studying warfarin because I've been watching those ads until my eyeballs fall out. Why don't you prescribe warfarin for me? Does this happen? Is this crazy? Are they talking to the right people? They're spending billions on these silly ads that play all day and all night. What's going on? Well, you're right, I mean, they're directed towards trying to shift people to the newer, more expensive medications. But in fairness, the new medications are often better. They're just very expensive. And a well-informed patient is a patient who's better able to help take care of himself. So maybe when you see those ads, you say to yourself, okay, they're raising the issue. They're suggesting something to me. And maybe I should discuss it with a doctor. But first, I'm going to do some research. Absolutely. Yeah. And people come in, people are very informed about their own health nowadays. And I think that's a good thing. Yeah. The doctors are there to help guide them. It's great. It's great that you're into technology because after all, medicine is technology. That's right. Thank you, Bob. Great to have you on the show. Thank you. Thank you for having me. Sometime again soon. Yes.


Hey there beautiful souls, welcome back, and if you're new to Art of Awakening, my name is Christy, and welcome to my channel. And I want to share a little bit today that just came through to me about Archangel Michael. This is a painting that I did about a little over three years ago, and when I did it, it just was completely channeled. The original drawing came through, and I was just tuning in to a friend of mine, and this angel came out. I was actually looking for a spirit animal, but the angel really wanted to come out, and she took one look at him. It was just a sketch, and she's like, oh my god, that's Michael. And so, well, after that I just got inspired to do the painting, really got requested to do the painting of him. And the thing that is really different about the way that he came through in this painting is that he's not wielding the sword. He's asking us here to really focus, focus on the light, and this message that recently came through to me is about focus, because what he's saying is, like, if you are really, really focused on the light, if you're focused on your purpose, if you're focused on your divine mission, if you maintain that focus, there is very little need for the sword, okay? He's got it kind of behind him. In fact, the sword was sort of an afterthought. You know, I did the painting, and it was like, oh, something missing was going on, and finally it's like, oh yeah, the sword isn't there, so I stuck it in. And I've actually considered taking it back out, but I just kind of was in this message last night because I was really thinking about unframing this picture and and removing the sword because it really didn't come in through the original, you know, image. But I was just kind of told, yeah, leave it in. But really the focus is on, you know, staying focused on the light, but what the message was is that as we progress, as we become more and more awakened, that cutting away aspect that Michael helps us to do is, like, we usually think of it as cutting cords, you know, sending each other free, or as in kind of cutting away anything that's not serving us and letting go. But what I'm asked to share is that as you get further on in the waking process, there will be, you'll have to be facing, like, negative stuff less because you are more focused and because you, you know, maybe have been working on the protections you've been strengthening your aura. And so you're going to be less barraged with some of the challenges, some of the negative, quote unquote, negative stuff that's coming up. But what is, what you're likely to come up against is you may be facing multiple choices of, you know, you've only got one you and, you know, when we're on this earth, we've got this timeline, you only have so much time really, even though everything's all happening at once and we know that there's unlimited time, but still, when we're embodied here, we've got a certain amount of time that we have for different things. And we're going to be constantly given choices of, you know, do I do this or do I do that?   And each one, each time, each decision that we make in terms of how to use our time is going to take us on a different timeline. So the question is, it's like, are we going to stay on our highest timeline? Because there could be, maybe you're facing two or three or four different choices that you could be doing, but all good, there's none of them that's like really going to hurt anybody, none of them that's, you know, they could all be attractive. And, but the question is, it's like, if it's not the one that's the most aligned with your highest truth, your highest truth, then it's going to take you a little bit off the path and you may not even realize it. But after a few of these, you're going to find, oh my gosh, I'm not really going where I wanted to go anymore, even though it looked like a good direction. Okay, so the encouragement is, it's like asking to use that sword to, you know, help us to discern where's, where's the highest and best choice? You know, not just what's a good choice, but what's the highest and best choice. And in order for this to happen, in order to do this effectively, it's really necessary to be absolutely clear on what we want on our purpose, you know, that clarity is essential. And that's what he's saying in this painting, it's like, you know, get clear and stay focused. So I hope this has been helpful. That's the message that came through is really about higher levels of clarity, focus and discernment. It's going to be what's necessary to stay on the highest timeline. And this is, I'm speaking here to people who have been really doing a lot of work with themselves, and you may be finding yourself in a spot now where things may be manifesting really quickly. And the thing is that they're manifesting so quickly that you want to really be aware of each step that you take, because each step that you take can be very powerful and that can make things happen very quickly. And we want to like stay very, very, very aligned and very aware of that alignment. And if you're not totally clear on what you're here for, it's likely to, you know, you may end up like you may end up manifesting something quickly that you thought you wanted, but then it turns out it's maybe not the best thing. You know, that kind of thing can happen very easily now. Oh, and here's the other part of it is like, how do we know what's our highest timeline? Well, in order to do that, it's coming into stillness, coming into silence and really listening. So really deepening the listening, deepening, you know, the centering, the grounding, that centering and grounding practice, that listening within, that being very aware of the body and what it's saying and what of the intuition and what it's saying. And especially the body, because sometimes, you know, sometimes we get false intuition, but usually the body will tell us at some point, you know, you'll feel that tightness or that anxiety, and it helps you to recognize, you know, what's true intuition and what's not. So really, really staying attuned to the body, the emotions, you know, and the intuition and the mind, all of that staying together and staying focused. Okay, so I think that's it. Hope you've enjoyed. As always, I really do appreciate your comments. I do try to answer every single one. And I just love you guys all so much. And I also appreciate your likes, your subscriptions, your shares, all that too. So thank you. Thank you so much for all of that. And if you want to contact me, those links are below. Much, much love to you. And we'll catch you again later.


My name is Renske Tervischa van Scheltinga. I am a PhD student. I was born in the Netherlands. We are in the Hydraulic Engineering Laboratory of the University of Auckland, where we just recorded a video of my flume experiment. This is one of the top places to do research around the world because of its facilities and because of the big variety of people that work and study here. In New Zealand, you still have natural rivers, so it's a really great place to study rivers. This lab has about 10 different flumes, really large one and also a lot of smaller ones. We have a basin of water downstream. With pumps, we move the water and the sediment upstream and then we re-circulate it. And because the walls are glass, we can study it from the side and from the top. So we are able to create any feature we find in nature. So a tsunami, a river, a river flood. We can study the transport of really big rocks and also of small particles. The rocks, pebbles, the gravels, there are actually a lot of names for different sizes of stones. So if we are going to expect with climate change flooding to be more common and to have bigger floods, we need to adjust. We can't stop floods from happening, but if we understand them better, we can limit the consequences.


The biggest lie the hawks ever sold. Notes from the edge of the narrative matrix. The US is the only nation on earth whose entire economy is built on arms manufacturing and security guarantees to tyrannical Gulf states. It's not just correct to call the US Empire a uniquely evil power structure. It's correct to say it's impossible for it not to be. Saudi Arabia's destruction of Yemen and proxy warfare in Syria are many thousands of times more evil and horrific than the assassination of one Washington Post columnist, but because the Empire is built on that kind of bloodshed, it gets far less attention. Biden continuing the unbroken presidential tradition of courting the Saudis is not a betrayal of US values, but a very normal expression of them. You either want the complete dismantlement of the US Empire, or you don't.   On one hand polls say Americans don't want Biden to run again, but on the other hand there's zero chance Democrats put forward a different candidate who's stronger than the rot-brained empire mummy.  Current proxy warfare tactics in Ukraine have no chance of delivering a swift defeat to Russia. What they do have is a pretty good chance of creating a costly military quagmire for Russia and a 100% certainty of creating massive profits for the arms industry. The biggest lie the hawks ever sold was that their militaristic policies prevent the problems they actually create. Militarizing against Russia caused this war. The war on terror created terror groups. Continuing the encirclement of China will likely lead to a nasty confrontation there, etc. Working to bring down Moscow and Beijing would be a great way to move towards securing unipolar planetary hegemony while simultaneously unleashing the kind of worldwide economic chaos and desperation that shock doctrine capitalism engineers have heretofore only dreamed of. The most important job of the Western media right now is convincing the public that the world's major powers splitting into two increasingly hostile alliances is probably nothing to worry about. Celebrities getting political is not a problem in itself. The problem is that most of them don't start growing their political awareness until they're already famous. When they are informing their worldview from inside an elite echo chamber that has a vested interest in preserving the status quo. Believing there are good billionaires is even dumber than believing there are good US presidents. And believing there are good mainstream media pundits is even dumber than believing that there are good billionaires. No one ever espouses a mainstream political worldview because they have thoroughly examined all the options and sincerely believe that one's the best. It's always because they don't know other political worldviews exist, or aren't sufficiently familiar with them, or have been propagandized into believing false things about them, or because they work in a career that is advanced by adhering to mainstream political perspectives. This is true because mainstream political worldviews do not exist to help people and make good things happen. They exist to facilitate plutocracy and empire. Nobody who deeply investigates their nature and contrasts them with alternatives comes away thinking they're the best, whether they're someone with left wing or right wing sympathies or anywhere in between.   The empire still fears the public. If it didn't, it wouldn't bother rolling out so much propaganda ahead of all its depraved actions. They would just act. They work so hard to manufacture our consent because they're still afraid of what we'll do to them if we decide we don't consent. Just something I think is worth calling to mind once in a while.


How's it going everybody? My name is Dato Dewey here testing out the 3v3 mode in Dragon Ball Fighters with these fine gentlemen Great diversity guys Mr. Fat Tom. We should do that. We should just have three of the same character Three of the same. Which one? Which character? Brax Brax. We should all play Ginyu at the goal. The goal should be to change characters. It's all of us. Hey everybody, this is Dato Dewey from the future. Just wanted to let you know that what you're about to watch actually corrupted when it was recorded. So you'll notice I had to go back in and re-record the games off of the replay channel. And because there's no lag during the replays like there is during the match, you're gonna notice that it gets off sync a little. I've tried my best to edit that out, but it's obvious you're gonna see a little bit of it and you'll see some cuts here and there. But I still think the content was good enough to upload and I hope you don't mind. Thank you. This time on the hunt for bodies. This shit's never gonna work. This time on the hunt for bodies. This shit's never gonna work. Please call it out. We can't tell who gets switched in. OK, that's not gonna happen. I just... Oh my god, we don't even know who's who. Are there names on the assist bars? No. Oh, we're just calling in Ginyu's. We're the Ginyu's for us. We're quite literally the Ginyu's for us. Name this video on the hunt for bodies. I'm gonna name it three Ginyu's. Aw, the cross-eyed bear, why? That's crazy. Hey, no inside jokes on the part of the video. Doesn't make sense to the viewers. Now they're saying, huh? All together now. Boom! Ha, yeah. Yes, look at the ginyu. I know we're facing our most dangerous opponent. It's two minutes before Ginyu's on the screen. The game's gonna crash. Let's see if we can get him off his Goldo's path. Goldo, I'm the second one. I'm the second one. Raku! Burner! Jace, oh, he got me. We should have looked at our colors. There's no colors in the top left. I need one of you to take out for me. That's not me. It is me. It is me. It is me. It is me. James is blue, blue Ginyu.  He's gonna try to take your body. I'm white. I'm white. James, take that little, pinky body. Take, call it, call it an assist from Goldo and do body change. That's a fine body! Uh-oh! No! No! No! No! Take it, throw it back to the end! Throw it back to the end! Me! What do you mean? You guys are coming to the end! Why me? Other Ginyu, get in here! Yeah! That's a fine body. I held it for too long and I stabbed myself. Gwaiir! Get used to bar, my guy. We need all that. We need so much bar. Gwaiir, get in Goldo. Nobody's using their Ginyu force other than me.  It's just A and quarter circle A for different effects. Gwaiir, you're getting your salad tossed proverbially. Oh my god, this guy just teleports every second. Oh yeah, I know. You're gonna tag someone in. That's what's happening here. What are you doing? This guy's too confident. Let's go, Gwaiir. Body. Is this how playing Gwaiir is? This doesn't. This doesn't tag anybody in. This doesn't tag anybody in. You're dead. We lost the Ginyu. We lost the Ginyu on this fine day. Oh, I'm good. He's not dead! Take his body! Take his body! Overhead! How?  James! You know I can't tag it when I'm being hit on block, right? Take his body, James. You can z-change.  That's a fine body, Ginyu! Unfortunately, that's another Ginyu body, but... Who am I? I got him. He's in the blue one anymore. He's not looking at you. Help! Don't use the bar, I still need to take a body. That was a fine body. That wasn't James, was it? His body. I'm very confused. I'm very confused. I'm a monthly or something. I wonder if you can still do your level three. You still have the Ginyu for us? Can't you use them forever? No, because when the other person gets Ginyu, they don't get to use the Ginyu for us. So I guess since James initiated it, he needs to keep Ginyu for us. I did. It was extra. Second, he has to steal. What an awful body switch. Awful body switch. Yeah, exactly. I knew he was going to change it, because that's what he did last time.  What do you mean why? To win. He's too strong and sparkly. Don't call in your pappers. Why didn't you let go of your guard? I blocked. Who used sparking glass? I still have a chance. I still... I said, that's a fine body. That's a fine body. Don't ever test my Ginyu skills. That's a fine body. Ginyu for us. I don't want to stick it body anymore. Ginyu gets you transmission. Yes! Ginyu for us. Fun too.  That's a fine body. That's a real fine body. All together now. This guy's too good. He's got me down to a T, boys. You know how many trunks I play against to do that shit? Oh, why didn't it work that time? Other Ginyu. It's not on me. I was like, yes. I was doing it so well. Your strategy is three bars guard. I'm gonna try to take this dead guy's body. No, don't take his dead body. Get the next guy's body. Your body? It's too weak, buddy. I'm gonna need you to call in that assist. I think you missed your chance on this one. I'm in. This guy's already very afraid of Ginyu. He's not going to get him. I'm in. I either died doing the body change or I died not doing the body change. No! No! Why'd you step yourself? Yeah, or I could have got the body. No, I didn't. I helped you out. Just locked out all of his ways with Goldo and me. What's the plan here, James? Is this trunks body not worth your time? That's freaking crazy. That's a fine body! That's a fine body. That's a man of fine art. I wish I would have hit because I should have. He goes mid slide. Here's the plan.  He's gonna switch out. No! Oh, thank you. Oh, God, he dodged. I'm so glad he dodged. God, I felt like Ginyu when he saw the frog being thrown. I barely stuck a finger out. Oh, we're gonna hit. Oh, that was pretty good combo. Is he gonna get the full effect of that? Yeah. Maybe he won't kill. Yikes. I gotta take this Goku's body. It's the only way you're gonna win. That's a fine body. Seriously? I didn't see it coming. Ah, James. It's the second time this has happened. Sparky, you can get a sweet Sparky Blast combo. No, James has no idea how to play Goku. It will become very evident. God, I know how to play Goku blue so well. Also, that color is really cool. James, please.  It's no idea what he's doing.  When you got auto combo. Oh, God, James, don't lose after stealing his body. Watch out for his level three. Yeah, I saw that one coming. Everybody in the world saw that one coming. I don't think it's gonna kill, though. Oh, it did. We won again using Goku blue's body. Give me more. I love that pose. That has to be the thumbnail.


Side bends. Stand with your feet wide apart, both hands at your sides, and hold a dumbbell in one hand only. Making sure to keep both of your knees locked straight, bend your torso directly to the side on which the dumbbell is held, until the weight is level with your knee joint.  Reps 15 to 20 per side. Notes, best done with Dumbbell.


Marines and sailors, I'm your I'm a Gregory Todd. I'm the chaplain of the Marine Corps. I want to talk to you today about spiritual fitness. Spiritual fitness contributes to our ability to operate with certainty in uncertain environments, much like the environments we're in now because of the COVID-19 pandemic. Giving your spiritual health a workout by connecting to those you respect in love, reflecting on goals and priorities, and taking account of all you have lived and lived through can give you a better sense of how those experiences and beliefs affect your inner strength. Building a routine of spiritual practices, reps and sets that helps you to grow spiritual strength to face each day with honor, courage and commitment is important to overall health and wellness. Contact a trusted spiritual coach like a chaplain, trusted leader or fellow Marines. You can also check out the Marine Corps spiritual fitness program to give you some suggestions. As a leader, don't forget to reach out to the Marines and sailors you're responsible for and encourage them to hit the spiritual gym. Just because we're social distancing does not mean we're isolated. This is a great time to connect with members of your spiritual team, such as friends and family. Give them a call. By maintaining spiritual fitness with the same dedication we give to our physical, social and mental fitness, we can weather this storm and emerge with greater internal strength and perseverance and model to our fellow Americans once again, the character of honorable warriors, the character of being a United States Marine. Semper Fi.


In this lesson, we're talking about the difference between the past simple and the present perfect. And specifically, we're looking at the two sentences I already ate and I've already eaten. Now, of course, you need to notice the structure. So you need to know how to form the past simple and the present perfect. So just keep that in mind. And let's talk about the meaning of these two. So we use the past simple with a completed past action, right? This action is complete. I already ate. That is a finished completed action in the past. Now, let's talk about the present perfect. Here's what you need to keep in mind. The present perfect has a many different uses depending on the context. In this lesson, we're specifically talking about comparing these two sentences. So in this specific context, the present perfect can be used for a past action with a present consequence. Okay, there are other ways we use the present perfect, we're not going to discuss those. We're specifically talking about this one meaning, a past action with a present consequence. I've already eaten. So as you can see, just from their definitions, that they can both be used with a completed past action. The difference is the present perfect present. There is a connection to the present. Okay, so keep that as your memory aid, present perfect, present connection to the present with the past simple, that connection to the present isn't there. One other thing you need to keep in mind is that a native English speaker is not a grammar expert. A native English speaker is going to use these two sentences in this specific context. They're going to use these two sentences interchangeably. And there's not going to be a difference in meaning. So when a native speaker says I already ate or I've already eaten, there's no difference at all. If you ask them, why did you say this one and not this one, they're not going to know because they don't study grammar. Okay, and they're both acceptable. So just keep that in mind. A native speaker is going to use them interchangeably with no difference in meaning. But let's talk about that subtle difference in meaning when we say that the present perfect can be used with a past action that has a present consequence. What does that mean a present consequence? So let's just think about that. I already ate in the past simple. Just remember completed past action. It's done. It's over. I already ate. Now when I say I've already eaten, there's some sort of connection to the present. So you can always think of it in your head as I've already eaten so now. Okay, I've already eaten so now because connection to the present I've already eaten. So now I'm not hungry. So now I don't want a piece of cake. So now I don't want to go to that restaurant with you. Okay, I've already eaten. But keep in mind that so now we don't verbalize it. We don't say it out loud. It's just implied in the context. Okay, so let's take a look at a few more examples. I could say I talked to my boss just a completed past action, or I could say I've talked to my boss. So what's the connection to the present? Maybe I've talked to my boss. So now I'm going to leave. Maybe that's just the connection to the present. It could be anything again, we don't verbalize that is just implied. How about this one? I checked the mail just completed past action. I checked the mail. Or I've checked the mail in the present. Perfect. I've checked the mail. What's the connection to the present? I've checked the mail. So you don't have to that could be the connection to the present. One more example, I booked the hotel completed past action. Or I could say I've booked the hotel in the present. Perfect. I've booked the hotel. So now we're going on vacation. Maybe that's the connection to the present. So now I'm excited. Remember we don't specifically say it is just implied. And also in all of these examples in this specific context, a native English speaker is going to use them interchangeably without a difference in meaning. If you found this video helpful, please hit the like button, share it with your friends, and of course, subscribe. Now before you go, make sure you head on over to my website jforsenglish.com and download your free speaking guide. In this guide, I share six tips on how to speak English fluently and confidently. And until next time, happy studying. All right. Now you're really sounding like a native English speaker. Now when you can use these two verb tenses interchangeably in this specific context, right? So of course, leave your example one sentence using the past simple one using the present perfect, put them in the comments below. And remember, they both have to be with the completed past action. Just one of them has a present consequence. I can't wait to read your examples in the comments. Bye.


So Fumiko, what is your definition of service design? So for me, service design really is the path to change. What I realized was that as soon as I explained about the processes, the challenges, the success, Mark, you are calling me all the way from Amsterdam, but you immediately know what I'm talking about. And I think this means that we are right on to something really important and very global, which really encourages us to take this path and then drive the change. And so for me, it's a really great way to sort of go through this process with the people whoever you haven't met, and I hope that more people would kind of join this process of service design. So this video is just one piece of the puzzle. Make sure to check out some of the other videos that are in this playlist to get the full picture. And if you'd like to learn how to explain service design in plain English, check out the free training that I've got for you over here. Thanks again for watching and I look forward to seeing you in the next video.


financial news network. News update. Good morning folks. This is Steve Rhodes coming to you live from the shores of sunny Delray Beach, Florida. This is your 9 a.m. update and currently got all the U.S. equity futures trading higher. The Dow is up 96 points. The Nasdaq is up 55. The AS mini is up 16 and the Russell's up 10. You've got an age last night, a little bit of a mixed bag. You had the Shanghai finish higher by 35 points. That's about 1%, 1% for the Nikkei as well, 276 points. Over in Europe, you've got the DAX and the U.K. in the U.K., the FTSE in the U.K., trading higher 49 points and 26, respectively. Gold is up 6 bucks. Silver is down 3 pennies. Let's go take a look at our 9-panel market update chart. We begin by taking a look at the ES mini in the upper left-hand side. Price held the bottom of its weekly profile, 45.04. It looked over that cliff and decided not to jump. Now Price is trading with inside a bearish structured daily profile that's attempting to form odds-favorite price. We'll go try to target the 46.51 level. It'll continue to do that as long as the spot volatility continues to move lower, but it is still above its 50-day exponential moving average, which is price at 1,981. What that tells us is if there's any surprise today, the surprise will be to the downside. In the case of the NQ, it's got an A to B equal CD to the outside. It has not completed that pattern. It generates for you and I a counter-trend move signal on this bounce unless price closed above 16, 134.30. That's the level to watch. If price closed above that, then we're back to its recent highs out here. The US dollar index just consolidated with inside its daily profile. Gold found support yesterday at the bottom of its weekly profile, very much like the ES mini did. And there's a new daily profile that's attempting to form. Gold has a TD 9 count bottom as long as price did not close below yesterday's low. In the case of Silver, it also has a TD 9 count bottom and that will be negated if price closes below the low of, let me give you that number, it's going to be 22.18. 22.18, if you close below that, you should see Silver make its way to 21.82. You've got lights we crew, it's got a bounce going on. That bounce is likely to run out of steam in about the 69.15 to 71.71 area. Natural gas, just having a little bit of a bounce but no bottom signal as of yet. So possibly lower price in the 30 year treasury trading up into a resistance level, which is that descending trend line. Folks, stay tuned. Tommy O'Brien is up next for your fantastic Friday. Join me on Monday at one o'clock for the Tradershead show. Again, thanks so much for joining us. Have a terrific weekend, folks. I'll see you on Monday.