text:
FijiFootball.com.fj > News > HEADLINE NEWS > Rodu Happy With Appointment
Rodu Happy With Appointment
Apr 27, 2017, 9:17 AM
inHEADLINE NEWS
A thirty two member extended Vodafone Fiji national under 16 girls team are currently going under trials at Fiji Football Association Academy in Suva.
Newly appointed coach of the team Marika Rodu said it was a big challenge for him to coach the team but was happy to be given the opportunity to guide the young girls for the championship.
"Of course it is going to be a big challenge for me but I am more than happy to take it because these girls really need the football knowledge and I am very proud to work with these girls,"Rodu said.
The 2016 Fiji FA Coach of the Year said the girls a had a dream to represent the country and win the OFC Under 16 Championship.
"I want to make sure they prepare very well so that they can improve their ability to play football and increase their game understanding and at the same time, they go back after this journey and improve to become a good football players, "the former national rep said.
Rodu said looking at the time factor his focus was to work more on technical skills.
"Well looking at the time factor my focus will be working on technical skills, possession, passing ,defending, attacking and at the same time we will focus on the team structure and team shape and I hope have enough time to go to the individual level, "he said.
The former Rewa rep said they had some talented players in the camp.
'We have some talented girls, they have physics there, and they have enthusiasm and want to be part of the national squad and are putting their hands up from day one.
Rodu said he would start working on the way the team needs to play and see if they could cope with his needs.
"I will be selecting 25 members from this camp which will be part of the second phase and will come back in term two before the championship,"Rodu said,
The 2017 OFC Under 16 Girls Championship will be held in Samoa in August.
Previous Post Development in Taveuni
Next PostErasito Called To Join National Squad
Adi Lagilevu Captains U16 Team
U19 Women's Team Set For OFC Championship
Devi Ruled Out For OFC U19 Women's Team
Development in Taveuni
Erasito Called To Join National Squad


text:
é um anime OVA, em três episódios, baseado nos mini-mechas de brinquedo lançados pela Tomy. Conta a história de um grupo de garotas colegiais que entram para um esquadrão de combate. O anime tem um foco maior na história das garotas do que na dos mechas em si.

Na TV aberta brasileira, Battle Skipper foi exibido parcialmente em 1997, pela extinta TV Manchete, no programa U.S. Manga.

Episódios

História
Saori, Kanami e Shioko acabam de entrar para o St. Ignacio, um colégio só para moças. No St. Ignácio existem dois clubes de estudantes: o "Clube de Etiqueta" (Kareibu) e o "Clube das Debutantes" (Reihoubu). Contrariando a maior parte a das alunas que preferem entrar para o popular Clube das Debutantes, as três recém-chegadas entram para o Clube de Etiqueta e logo descobrem que, na verdade, seus membros são parte de esquadrão secreto chamado Exters (ou ExStars). Em batalha as Exters utilizam veículos de combate chamados Battle Skippers, que são um tipo de mecha-tanque, com capacidade para uma pessoa. A seqüencia de transformação possui características predominante Fan service.

Personagens
 Reika Ayanokouji: Presidente do "Clube de Etiqueta" e herdeira das Industrias Uruyasu. Reika possui um tom de voz suave e esta sempre protegendo os segredos dos Battle Skippers, temendo que possam cair em mãos erradas. Ela tem um parentesco com sua mimada rival Sayaka Kitaouji.
 Rie Shibusawa: Vice-presidente do Clube de Etiqueta. Rie é geralmente imprudente, impetuosa e imprevisível, um verdadeiro contraste para a personalidade tranqüila e serena de Reika, No campo de batalha, Rie é tão poderosa quanto Reika, e é sempre leal a ela e sua família.
 Saori Tachibana: Novata no St. Ignácio. Originalmente queria entrar para o Clube das Debutantes, mas foi persuadida pr Shihoko a entrar no Clube de Etiqueta. O cabelo de Saori lembra o da Sailor Moon, mas a semelhanças terminam ai.
 Kanami Izaki: Novata no St. Ignacio. Entrou para o Clube de Etiqueta por odiar Sayaka Kitaouji e o Clube das Debutantes. Kanami é uma das garots mais inteligentes do Japão, e secretamente também uma das mais fortes, para o espanto de Rie Shibusawa. Kanami rapidamente se torna amiga de Saori e Shihoko em seu primeiro.
 Shihoko Sakaki: Novata no St. Ignacio e amiga de infância de Saori. Após assistir o fracassado discurso de Rie, no qual ela chamava as pessoas para entrar no Clube de Etiqueta, Shihoko decide seguir Rie. Shihoko pode ser frágil e tímida, mas nunca desiste.
 Sayka Kitaouji: Prsidente do Clube das Debutantes, herdeira das Industrias Makuhari e a principal antagonista da série. Sayaka quer um Japão governado por mulheres tão fortes quanto ela, e dominar o mundo. A maior parte da renda do St. Ignácio vem das contribuições das Industrias Mukahari, o que faz de Sayaka ainda mais arrogante.
 Todou: Assistente pessoal e lacaio de Sayaka. Todou é um bishōnen que faria qualquer coisa por Sayka, já que tem uma queda por ela. No campo de batalha Todou é igualmente perspicaz e impiedoso em seus planos para exterminar as Exters e assim assegurar as Industrias Makuhari como a única sobrevivente na guerra da industria mecânica.

Os Battle Skippers
Os Battle Skippers são tanques-robô, equipados com sistemas IA, que serve para proporcionar ao piloto uma melhor performance. São fabricados pelas Industrias Mukuhari, Uruyasu, Toyotomi e Grand Rover. Os Battle Skippers pilotados pelas Exters são da Uruyasu enquanto os pilotados pelo Clube das Debutantes são da Makuhari. Na versão original, em japonês, o Battle Skipper de Saori tem um sotaque Kansai enquanto o de Rie fala com um sotaque mais próximo do dialeto de Osaka (que no Japão é considerado por muitos como um dialeto rápido, sujo, "pé no chão" e até mesmo engraçado).

Fonte
 Battle Skipper - Wikipédia Anglófona

Ligações externas

Animes e mangás de mecha
Shōjo
OVA
Yuri
Animes de 1995

redpajama_set_name: RedPajamaWikipedia


text:
Chairman of the British Association for the Advancement of Science (Edinburgh Branch)
Yesterday I was elected Chairman of the Edinburgh and South East Scotland Branch of the British Association for the Advancement of Science. It is a great honour to fill this post in an organisation with such a long and fruitful tradition, and I am looking forward to my new responsibilities and activities.
The British Association for the Advancement of Science is a UK wide association of volunteers promoting the public understanding of science. Since 1831, the Association has organised talks, debates and science festivals throughout Britain. I haven't been in the Association for quite as long as that, but I have been an active member of the committee of the Edinburgh and South East Scotland Branch since 2007 and have, e.g., coordinated the polar weekend in March.
Yesterday, on the 1 October 2008, we held the AGM with the election of the new committee and office bearers. I was elected Chairman of the Edinburgh Branch. Nigel Over brings his long-term experience to the post of the Branch Secretary for Committee/Membership and Julia Kennedy with her enthusiasm fills the post of of Branch Secretary for Events. Jane Ilsley remains co-opted as Treasurer.
Together we are already working on a number of event ideas. We will continue the established work of the British Association and fill it with new ideas and new concepts in Edinburgh, contributing with a diverse programme of events to the public debate about scientific issues.
In some meetings, it would have been rude that some were slouching in their seats, following the election with seemingly bored and derisive expressions, pulling faces and scratching themselves everywhere. Not in this case, as the meeting took place in the new primate centre at Edinburgh Zoo - where the meeting room hangs like a glass cage between the chimpanzees who were just getting ready for the night in their tree nests.
The AGM was followed by an information evening about the primate centre for the members and supporters of the British Association for the Advancement of Science. The Zoo does not only have the traditional role of displaying exotic species to the people. Instead, Edinburgh Zoo with its modern primate centre is also a research facility where chimpanzees, Capuchin Monkeys and squirrel monkeys can be observed. In cooperation with universities, behavioural studies in a natural environment, but with well controlled methodology, are possible. Furthermore, the Zoo cooperates with facilities all around the world that are working on protecting the natural habitats of primates - because all primates are threatened with extinction, except for humans.
Poster for the information evening; there is also a PDF (276kb) for printing and distribution.
Last Updated: Thursday, 11 October 2012
Vorsitz der British Association for the Advancement of Science (Edinburgh Branch)
Polarwochenende: Aktiväten und Informationen um die Pole
Polar weekend: activities and information about the poles
You are here: News News (en) Chairman of the British Association for the Advancement of Science (Edinburgh Branch)

redpajama_set_name: RedPajamaCommonCrawl


A system searches a first search index based on a search query to obtain first search results and searches a second search index based on the search query to obtain second search results. The system further ranks the first search results using a first ranking algorithm and one or more first ranking parameters to produce ranked first search results, and ranks the second search results using a second ranking algorithm and one or more second ranking parameters to produce second search results, where the one or more first ranking parameters are different than the one or more second ranking parameters and where the one or more second ranking parameters include at least one of previous user feedback associated with custom content that corresponds to the second search index, annotations of the custom content provided by a user, or usage patterns associated with users previously accessing and searching the custom content. The system also provides the ranked first and second search results to a user.
The World Wide Web ("web") contains a vast amount of information. Locating a desired portion of the information, however, can be challenging. This problem is compounded because the amount of information on the web and the number of new users inexperienced at web searching are growing rapidly. Search engines assist users in locating desired portions of this information by cataloging web pages. Typically, in response to a user's request, the search engine returns references to documents relevant to the request.
A web crawler is typically used to find and retrieve documents (e.g., web pages) on the web. To retrieve a document from the web, the web crawler sends a request to, for example, a web server for a document, downloads the entire document, and then provides the document to an indexer. The indexer typically takes the text of the crawled document, extracts individual terms from the text and sorts those terms (e.g., alphabetically) into a search index. The web crawler and indexer repeat this process as the web crawler crawls documents across the web. Each entry in the search index contains a term stored in association with a list of documents in which the term appears and the location within the document's text where the term appears. The search index, thus, permits rapid access to documents that contain terms that match search terms of a user supplied search query. To improve search performance, the indexer typically ignores common words, called stop words (e.g., the, is, on, or, of, how, why, etc.) when creating or updating the search index. Existing indexers create a single search index that contains terms extracted from all documents crawled on the web.
Generally, search engines may base their determination of the user's interest on search terms (called a search query) entered by the user. The goal of the search engine is to identify links to high quality, relevant results (e.g., web pages) based on the search query using the search index. Typically, the search engine accomplishes this by matching the terms in the search query to terms contained in the search index, and retrieving a list of documents associated with each matching term in the search index. Documents that contain the user's search terms are considered "hits" and are returned to the user. The "hits" returned by the search engine may be ranked among one another by the search engine based on some measure of the quality and/or relevancy of the hits. A basic technique for sorting the search hits relies on the degree with which the search query matches the hits. For example, documents that contain every term of the search query or that contain multiple occurrences of the terms in the search query may be deemed more relevant than documents that contain less than every term of the search query or a single occurrence of a term in the search query and, therefore, may be more highly ranked by the search engine.
According to one aspect, a method may include searching a first search index based on a search query to obtain first search results and searching a second search index based on the search query to obtain second search results. The method may further include ranking the first search results using a first ranking algorithm and one or more first ranking parameters to produce ranked first search results and ranking the second search results using a second ranking algorithm and one or more second ranking parameters to produce ranked second search results, where the one or more first ranking parameters are different than the one or more second ranking parameters. The method may also include providing the ranked first and second search results to a user.
According to another aspect, a method may include uploading custom content from a first user via an application programming interface and indexing the uploaded custom content to produce a custom search index. The method may further include searching the custom content using the custom search index based on a search query received from a second user to obtain custom search results and ranking the custom search results based on at least one of previous user feedback associated with the custom content, annotations of the custom content provided by the first user, or usage patterns associated with other accessing and searching the custom content.
According to a further aspect, a method may include receiving data from a first user designating custom content and indexing the designated custom content to produce a custom search index. The method may further include searching the custom content using the custom search index based on a search query received from a second user to obtain custom search results and ranking the custom search results based on at least one of previous user feedback associated with the custom content, annotations of the custom content provided by the first user, or usage patterns associated with users accessing and searching the custom content.
According to an additional aspect, a method may include obtaining custom content, where obtaining the custom content comprises at least one of uploading custom content from a first user via an application programming interface or receiving data from a first user designating the custom content. The method may further include searching the custom content based on a search query received from a second user to obtain custom search results and obtaining previous user feedback associated with the custom content. The method may also include ranking the custom search results based on the previous user feedback to produce ranked custom search results.
FIG. 16 is an exemplary diagram of a search result document that may provide custom search results and web search results to a user.
Implementations described herein may permit a user to create their own corpora of customized content that may be accessed and searched by other users via a content searching service, such as, for example, Google Search. A content searching system may crawl the web to retrieve web content and then index the retrieved web content to create a web search index. A user may upload or otherwise identify custom content to the content searching system, which may then index the custom content to create a custom search index that is different than the web search index. Each user that uploads, or identifies, custom content may also annotate the custom content to provide explicit indicators of the relative value of different portions of the custom content. Other users may also upload their own custom content to the content searching system, which may then be indexed to create different respective custom search indexes that are different from the web search index and other custom search indexes. Searching of custom content using the different custom search indexes may then be selectively permitted by users who may or may not have to be authenticated to the custom content that they wish to access (e.g., search). For example, the custom search index may store information different from the information stored by the web search index. In one implementation, the custom search index may store a subset of the information stored in the web search index. In this case, it may be possible for the custom search index to store pointers to information in the web search index. Alternatively, or additionally, the custom search index may store information that is not present in the web search index. Also, the custom search index may be considered different from the web search index in the sense that the custom search index may be searchable separate from the web search index.
Results of a search of custom content using a custom search index may be ranked or re-ranked based on the annotations provided by the uploading user, based on usage patterns associated with users who have previously accessed the custom content, or based on explicit user feedback provided by users who have previously accessed the custom content. The ranked/re-ranked custom content search results may be provided in ranked order to the searching user.
FIG. 1 is a diagram of an overview of an exemplary implementation described herein. As shown in FIG. 1, web content 100 may be retrieved using, for example, a web crawler (not shown). The web crawler may find and retrieve documents (e.g., web pages) stored on the web and extract content from the documents. For example, the web crawler may send a request to a web server for a document, download the entire document, and then provide the document to an indexer (not shown). The indexer may then index the retrieved web content to create a web search index 110. The indexer extracts text from the content of the crawled document, extracts individual terms or other data from the text, and sorts those terms or other data (e.g., alphabetically) into web search index 110. Other techniques for extracting and indexing content, that are more complex than simple word-level indexing, may also be used, including techniques for indexing extensible markup language (XML) data, images, videos, etc. Each entry in web search index 110 may contain a term or other data stored in association with a list of documents in which the term or other data appears and the location within the document where the term or other data appears. Web search index 110 may subsequently be used to search for specific documents whose content matches a search query 140.
As further shown in FIG. 1, custom content 120 may also be obtained. Custom content 120 may include content uploaded by a user, content designated by the user as being part of its custom content (e.g., user designates one or more websites or web pages to be included in the user's custom content), web content that is available only to selected subscribers via subscription, or types of content that may be aggregated and indexed separately from web search index 110 (e.g., the user may designate websites or web pages that contain content about a selected topic as being included in the user's custom content). An indexer (not shown) may index the obtained custom content to create a custom search index 130 that may be different from web search index 110 (e.g., custom search index 130 may include information different from web search index 110 and/or custom search index 130 may be searchable separate from web search index 110). The indexer may take the full text or other data from custom content 120, extract individual terms or other data from custom content 120 and sort those terms or other data (e.g., alphabetically) into custom search index 130. Other techniques for extracting and indexing content, that are more complex than simple word-level indexing, may also be used, including techniques for indexing XML data, images, videos, etc. Each entry in custom search index 130 may contain a term or other data stored in association with a location within custom content 120 where the term or other data appears. Custom search index 130 may subsequently be used to search for specific content of custom content 120 that matches a search query 140. Custom search index 130 may include multiple custom search indexes (not shown), each being associated with a different corpus of custom content.
Search engine(s) 145 may receive search query 140 and may selectively search either web search index 110 or custom search index 130 (or multiple different custom search indexes), or may search both of web search index 110 and custom search index 130 (or other different custom search indexes), using search query 140. A search of web search index 110 by search engine(s) 150 may return web search results 150 that match search query 140. A search of custom search index 130 by search engine(s) 150 may return custom search results 160 that match search query 140. A web ranking algorithm 165 may rank (or re-rank) web search results 150 to produce ranked web search results 180. Web ranking algorithm 165 may include any existing ranking algorithm used to order search results.
A custom content ranking algorithm 170 may rank or re-rank custom search results 160 to produce ranked custom search results 185. Custom content ranking algorithm 170 may, in some implementations, rank or re-rank custom search results 160 based on selected ranking parameters 175. Selected ranking parameters 175 may include different identified parameters to be used by custom content ranking algorithm 170 when ranking/re-ranking custom search results 160. Ranking parameters 175 may, for example, be selected by the user that uploaded, or identified, custom content 120. Such different parameters may include, but are not limited to, annotations by the user that uploaded or identified custom content 120 that indicate the relative importance or value of different portions of custom content 120, usage patterns of users who have accessed custom content 120 or other custom content (not shown), or user feedback provided by users who have searched custom content 120 and have provided indications of their opinion of the quality of custom content 120 returned to them as the result of the search. Custom content ranking algorithm 170 may use the selected ranking parameters 175 when ranking/re-ranking custom search results 160. Custom content ranking algorithm 170 may include a different ranking algorithm than web ranking algorithm 165.
FIG. 2 is an exemplary diagram of a network 200 in which systems and methods described herein may be implemented. Network 200 may include multiple clients 205 connected to a content searching system 210 and data server(s) 220 via a network 230. Two clients 205, a single content searching system 210 and one or more data servers 220 have been illustrated as connected to network 230 for simplicity. In practice, there may be more or fewer clients, content searching system, and data servers. Also, in some instances, a client 205 may perform one or more functions of content searching system 310 or server(s) 220 and/or content searching system 210 or a server 220 may perform one or more functions of a client 205.
Clients 205 may include client entities. A client entity may be defined as a device, such as a personal computer, a wireless telephone, a personal digital assistant (PDA), a lap top, or another type of computation or communication device, a thread or process running on one of these devices, and/or an object executable by one of these devices. Clients 205 may implement a browser for browsing documents stored data server(s) 220. Clients 205 may also use the browser for accessing content searching system 210 to search documents (e.g., web content) associated with data server(s) 220 and/or custom content, as described further below.
Data server(s) 220 may store or maintain documents that may be browsed by clients 205, or may be crawled by content searching system 210. Such documents may include data related to published news stories, products, images, user groups, geographic areas, or any other type of data. For example, data server(s) 220 may store or maintain news stories from any type of news source, such as, for example, the Washington Post, the New York Times, Time magazine, or Newsweek. As another example, server(s) 230 may store or maintain data related to specific products, such as product data provided by one or more product manufacturers. As yet another example, server(s) 230 may store or maintain data related to other types of web documents, such as pages of web sites (e.g., web content).
Content searching system 210 may include one or more hardware and/or software components that access, fetch, index, search, and/or maintain general web documents and/or custom content documents. Content searching system 210 may implement a data aggregation service by crawling a corpus of documents (e.g., web pages) hosted on data server(s) 220, indexing the documents, and storing information associated with these documents in a repository of crawled documents. The aggregation service may be implemented in other ways, such as by agreement with the operator(s) of data server(s) 220 to distribute their documents via the data aggregation service.
While content searching system 210 and server(s) 220 are shown as separate entities, it may be possible for content searching system 210 to perform one or more of the functions of one or more of servers 220, and vice versa. For example, it may be possible for content searching system 210 and one or more of servers 220 to be implemented as a single entity. It may also be possible for a single one of content searching system 210 or server(s) 220 to be implemented as two or more separate (and possibly distributed) devices.
Network 230 may include one or more networks of any type, including a local area network (LAN), a wide area network (WAN), a metropolitan area network (MAN), a telephone network, such as the Public Switched Telephone Network (PSTN) or a Public Land Mobile Network (PLMN), an intranet, the Internet or a combination of networks. The PLMN(s) may further include a packet-switched sub-network, such as, for example, General Packet Radio Service (GPRS), Cellular Digital Packet Data (CDPD), or Mobile IP sub-network. Clients 205, content searching system 210 and server(s) 220 may connect to network 230 via wired and/or wireless connections.
FIG. 3 is an exemplary diagram of content searching system 210. As shown in FIG. 3, content searching system 210 may include a web search unit 300, a custom content search unit 310, an index database 320, a security unit 330, an accounting unit 340 and a result formatter 360 interconnected via a bus and/or network 360 with network 230. Web search unit 300, custom content search unit 310, security unit 330, accounting unit 340 and result formatter 350 may be implemented as one or more separate server entities, as software and/or hardware components within a single server entity, or as software and/or hardware components distributed across multiple server entities.
Web search unit 300 may crawl documents (e.g., containing web content) stored at data server(s) 220, index the crawled documents to create a web search index and search the crawled documents using the web search index. Custom content search unit 310 may obtain custom content, such as, for example, content uploaded from users, content obtained from sources that require subscriptions for access to the content, and/or content on a given topic that may be obtained and aggregated from multiple sources, index the content in separate custom search indexes to create multiple different custom search indexes and search the custom content using one or more of the different custom search indexes.
Index database 320 may store a web search index 110 and one or more custom search indexes 130. Index database 320 may store web search index 110 and the one or more custom search indexes as different data structures that may be searched independently of one another. Alternatively, index database 320 may store one or more custom search indexes 130 within the same data structure as web search index 110 in a manner that they may be searched independently of one another. Security unit 330 may authenticate users desiring to upload custom content to custom content search unit 310 and/or may authenticate users desiring to search one or more custom content indexes associated with custom content. Security unit 330 may authenticate users by passing authentication tokens to the users which define the custom search indexes that are accessible by a particular user, and may contain security keys to permit channel encryption for sensitive information. Security unit 330 may authenticate users and authorize custom content search unit 310 to permit access to selected custom search indexes to the authenticated users.
Accounting unit 340 may establish and modify user access rights, may record and report user access to selected custom search indexes, may obtain feedback from users accessing given custom search indexes and/or may track and control access to given custom search indexes based on whether users have subscribed to the custom search indexes.
Result formatter 350 may return search results obtained from web search unit 300 and custom content search unit 310 in a formatted and organized manner. Result formatter 350 may combine custom content search results together with web content search results in a way that is meaningful to the user (e.g., in a hypertext markup language (HTML) page). Bus and/or network 360 may include a communication path, such as, for example, a system bus or a network that permits web search unit 300, custom content search unit 310, security unit 330, accounting unit 340 and result formatter 350 to communicate with one another and with entities on network 230.
Although FIG. 3 shows exemplary components of content searching system 210, in other implementations, content searching system 210 may include fewer, different, or additional components than depicted in FIG. 3. In still other implementations, one or more components of content searching system 210 may perform the tasks performed by one or more other components of content searching system 210.
FIG. 4 is an exemplary diagram of web search unit 300. As shown in FIG. 4, web search unit 300 may include a web crawler 400, a web content indexer 410, a web search index 110 and a web search engine 420.
Web crawler 400 may find and retrieve web content 430 (e.g., web pages) and provide the retrieved web content 430 to web content indexer 410. For example, web crawler 400 may send a request to a web server for a web document, download the entire web document, and then provide the web document to web content indexer 410. Web content indexer 410 may index web content 430 to create web search index 110. For example, web content indexer 410 may take the text or other data of a given crawled document, extract individual terms or other data from the text of the document and sort those terms or other data (e.g., alphabetically) in web search index 110. Other techniques for extracting and indexing content, that are more complex than simple word-level indexing, may also be used, including techniques for indexing XML data, images, videos, etc. Each entry in web search index 110 may contain a term or other data stored in association with a list of documents in which the term or other data appears and the location within the document where the term or other data appears. Web search engine 420 may search web search index 110, based on a received search query, to match terms of the search query with terms or other data (e.g., video, images, etc.) contained in entries in web search index 110. Web search engine 420 may retrieve a corresponding list of documents from each entry in web search index 110 that matches a term of the search query. The lists of documents retrieved from one or more entries in web search index 110 may be returned as web search results 440. In one implementation, each result of web search results 440 may include a uniform resource locator (URL) associated with a corresponding search result document and, possibly, a snippet of content extracted from the corresponding search result document. Web search engine 420 may further rank web search results 440 using web ranking algorithm 165.
FIG. 5 is an exemplary diagram of custom content search unit 310. As shown in FIG. 5, custom content search unit 310 may include a custom content upload Application Programmer Interface (API) 500 a, a custom content crawler 500 b, a custom content indexer 510, one or more custom search indexes 130, a custom search engine 520 and a data delivery engine/content formatter 530.
Custom content upload API 500 a may receive custom content 120 uploaded from one or more users (e.g., one or more authenticated users). The uploaded content may include data in any type of format. In one implementation, the uploaded content may include meta-data (e.g., XML data). The meta-data may include content meta-data with pointers to actual content. In another implementation, custom content upload API 500 a may include a translation engine for translating any type or format of uploaded data into a particular type or format of data that can be more easily processed by custom content indexer 510. Custom content upload API 500 a may pass the received custom content 120 to custom content indexer 510.
Custom content crawler 500 b may crawl specific content on the web to retrieve documents that may be indexed in a corresponding custom search index 130. Custom content crawler 500 b may crawl any type of document or database, including, for example, flatfiles, binary files, etc. For example, custom content crawler 500 b may crawl available documents on the web containing content directed to a specific topic (e.g., dogs, football, etc.) or documents identified by a custom content provider. As another example, custom content crawler 500 b may crawl documents similar to documents identified by the user as being part of the user's custom content. The user may, thus, designate content that may be grouped together and searched via the user's custom search index. Custom content crawler 500 b may, in some implementations, need to be authenticated by content providers associated with specific custom content crawled on the web. Custom content crawler 500 b may pass the crawled custom content 120 to custom content indexer 510.
Custom content indexer 510 may index custom content 120 to create custom search index(es) 130. For example, custom content indexer 510 may take the text or other data of custom content 120 received from a user, extract individual terms from the text or other data of custom content 120, and sort those terms or other data (e.g., alphabetically) into a single custom search index 130. Other techniques for extracting and indexing content, that are more complex than simple word-level indexing, may also be used, including techniques for indexing XML data, images, videos, etc. Each entry in a custom search index 130 may contain a term or other data stored in association with an item of content in which the term or other data appears and a location within the custom content where the term or other data appears.
Custom search engine 520 may search custom search index(es) 130, based on a received search query, to match terms of the search query with terms or other data contained in entries in custom search index(es) 130. If custom search index(es) 130 includes multiple different custom search indexes, then custom search engine 520 may search, based on the received search query and, possibly, user authentication, selected ones of the different custom search indexes. Custom search engine 520 may retrieve a corresponding list of items of custom content from each entry in custom search index 130 that matches a term of the search query. Custom search engine 520 may rank (or re-rank), using custom content ranking algorithm 170, each item in the list of items of custom content relative to one another to produce an ordered list of items of custom content. The ranked list of items of content retrieved from one or more entries in custom search index 130 may be returned as custom search results 540. In one implementation, each result of custom search results 540 may include a uniform resource locator (URL) associated with a corresponding search result document and, possibly, a snippet of content extracted from the corresponding search result document.
Data delivery engine/content formatter 530 may receive the search results from custom search engine 520, format the search results into a meaningful data format (e.g., into a hypertext markup language (HTML) document) that can be received and displayed by the user (e.g., via a web browser). Data deliver engine/content formatter 530 may customize the formatting of the search results (e.g., the content and visual format of the data) received from custom search engine 520 based on individual user preferences or based on the preferences of the custom content provider whose content is being searched.
FIG. 6 is an exemplary diagram of index database 320. As shown in FIG. 6, index database 320 may include a web search index 110 and one or more custom search indexes 130-1 through 130-N (where N≧1). Each of custom search indexes 130-1 through 130-N may include data structures that are separate and distinct from one another, and from web search index 110. Web search index 110 may include multiple entries, with each entry containing a term or other data stored in association with a list of documents in which the term or other data appears and the location within the document text where the term or other data appears. Web search engine 420 may search web search index 110 based on a received search query to match terms of the search query with terms or other data contained in entries of web search index 110.
Each one of custom search indexes 130-1 through 130-N may include multiple index entries, with each entry containing a term or other data stored in association with an item of custom content in which the term or other data appears and a location within the custom content where the term or other data appears. Custom search engine 520 may search custom search index(es) 130, based on a received search query, to match terms of the search query with terms or other data contained in entries in custom search index(es) 130.
FIG. 7 illustrates custom content 120, associated with a given custom search index 130, that may be annotated by the user that uploaded (or identified) the custom content 120. Custom content 120 may include one or more portions 710, with each portion 710 having one or more annotations 720 associated with it. Each portion 710 may identify a subdivision of custom content 120. For example, if custom content 120 includes a set of documents, then each portion 710 may identify one document from the set of documents. Each annotation 720 may provide an indication of the relative value or importance of a corresponding portion 710 of custom content 120. Each annotation 720 may be provided by the user that uploaded (or identified) custom content 120.
FIG. 8 is a flowchart of an exemplary process for obtaining and indexing custom content and, possibly, web content. The process exemplified by FIG. 8 may be performed by content searching system 210.
The exemplary process may begin with obtaining custom content from one or more sources (block 800). For example, custom content upload API 500 may upload custom content from one or more users at clients 205. As another example, custom content upload API 500 may upload subscription content from one or more subscription content service providers. As an additional example, subscription content from one or more subscription content service providers, or content from documents obtained from multiple sources that is related to a same topic, may be obtained from custom content crawler 500 b of custom content search unit 310 for indexing in respective custom indexes. Alternatively, a user at a client 205 may designate a set of documents to be indexed separately as a corpus of custom content. For example, a user at a client 205 may designate a set of web sites or web pages from which content may be extracted and indexed in a separate custom search index.
Many different types of custom content may be uploaded and indexed consistent with exemplary embodiments. For example, a given custom search index may aggregate and index multiple subscription-based web sites. If a user subscribes to a group of subscription-based web sites, then the user can search content from all of the subscription-based web sites simultaneously using a single custom search index. As another example, a company may upload all of their company events, policies, etc. to a custom search index such that only company employees may search the custom search index. As an additional example, a company, such as, for example, Netflix, may upload custom content to their own custom search index. Netflix can increase traffic to their own web site by building a custom search index of their movie titles. Users may then join a Netflix custom index group and automatically receive movie title search results when they perform a regular web search (e.g., a search on google.com). Moreover, Netflix could tag new movie releases so that Netflix users can just type the search query "new releases" in, for example, the Google search interface and receive newly released movie titles as part of the returned search results. As yet another example, a software company, such as, for example, Oracle, could upload their knowledge base to their own custom search index and then make this knowledge base available only to licensed users. The knowledge base could include frequently asked questions (FAQs), documentation, troubleshooting tips, customer support information, bugs, etc. As a further example, local libraries, Amazon.com or Barnes & Nobles could create their own custom indexes. Then, when a user who enjoys reading books searches a topic (e.g., using Google search) and when there are books that match that search, the books may be returned as results in the search results so that the user may check for pricing and/or availability. As yet another example, a user could create a custom search index relating to a particular topic by identifying documents (e.g., web documents) relating to that topic. As another example, a user can create a custom search index containing his bookmarks (e.g., favorite web pages or sites) that can be shared with, and/or searched, by other users.
A selection of one or more ranking parameters 175 associated with the obtained custom content may be received (optional block 810). Ranking parameters 175 may include different parameters to be used by custom search engine 520 when executing custom content ranking algorithm 170 for ranking/re-ranking custom search results 160. Ranking parameters 175 may, for example, be selected by the user that uploaded, or identified, custom content 120. Such different parameters may include, but are not limited to, annotations by the user that uploaded or identified custom content 120 that indicate the relative importance or value of different portions of custom content 120, usage patterns of users who access custom content 120 or other custom content, or user feedback provided by users who have accessed custom content 120 and have provided indications of their opinion of the quality of custom content 120 that they have accessed (e.g., searched). FIG. 9 illustrates an exemplary user interface 900 that may be used by a user that uploaded or identified custom content to select one or more parameters to be used when ranking search results obtained from searching the user's custom content. As shown in FIG. 9, user interface 900 may display ranking parameters 910 that may be selected by the user (e.g., by clicking on a corresponding check box). In the exemplary implementation shown in the user interface 900 of FIG. 9, ranking parameters 910 may include annotations, usage patterns, user feedback and user feedback ratings.
Annotations associated with the obtained custom content may be received (optional block 820). Each user that uploads or identifies custom content may annotate one or more portions of the custom content to indicate the relative value or importance of a respective portion of custom content. Each annotation(s) 720 may be stored in association with a corresponding portion 710 of custom content 120, as shown in FIG. 7.
The custom content may be indexed to produce a custom search index (block 840). For example, custom content indexer 510 may take custom content 120 received from an authenticated user (e.g., the custom content provider), extract individual terms or other data from custom content 120, and sort those terms (e.g., alphabetically) into a custom search index 130. Each entry in a custom search index 130 may contain a term or other data stored in association with an item of content in which the term or other data appears and a location within the custom content where the term or other data appears. Custom search index 130 may be stored in index database 320.
The web may be crawled to obtain web content (optional block 850). For example, web crawler 400 may find and retrieve web content 430 (e.g., from web documents) and hand the retrieved web content 430 off to web content indexer 410. Web crawler 400 may send a request to a web server for a web page, download the entire web page, and then hand the web page off to web content indexer 410.
The obtained web content may then be indexed to produce a web search index 110 (optional block 860). Web content indexer 410 may index received web content 430 to create web search index 110. For example, web content indexer 410 may take the text or other data of a given crawled document, extract individual terms or other data from the document and sort those terms or other (e.g., alphabetically) into web search index 110. Each entry in web search index 110 may contain a term or other data stored in association with a list of documents in which the term or other data appears and the location within the document's text where the term or other data appears. Web search index 110 may be stored in index database 320.
FIGS. 10A and 10B is a flowchart of an exemplary process for searching one or more custom search indexes produced, for example, using the exemplary process of FIG. 8 and ranking or re-ranking custom search results obtained from the search. The process exemplified by FIGS. 10A and 10B may be performed by content searching system 210.
The exemplary process may begin with the receipt of a request from a user requesting access to specific custom content (block 1000). For example, the access request may include a log-in identifier and password supplied by the user. As shown in FIG. 11, a user at a client 205 may select a "custom content search" tab 1100 contained in a search document 1110 displayed by the user's browser. Fields, such as, for example, a custom content identifier field 1120, a custom content log-in field 1130 and a custom content password field 1140 may then be displayed in search document 1310. The user may then enter appropriate data into fields 1120, 1130 and 1140 to authenticate himself as having a right to access the desired custom content. As further shown in FIG. 11, the user at client 205 may select a "web+custom content search" tab 1150. The user may enter appropriate data into fields 1120, 1130 and 1140 to search a specific custom search index and the web search index. Any custom content identifier data entered into custom content identifier field 1120 may be associated with one or more custom search indexes. For example, a single given custom content identifier may be associated with, and allow access to, several different custom search indexes. In another implementation, a given custom content log-in and custom content password may be implicitly associated with one or more custom search indexes. In this implementation, the user does not have to explicitly identify the custom content that he desires to access, since the user's log-in and password has already been associated with one or more custom search indexes. In other implementations, the user may enter multiple different custom content identifiers to select multiple custom search indexes to search. In some implementations in which the custom content does not require authentication (e.g., is available to non-subscribers), mere selection of specific custom content, without user authentication, may only be required for access to the specific custom content.
The requesting user may then be authenticated (optional block 1005). Authentication unit 600 may authenticate the user using previously received access control data. For example, authentication unit 600 may authenticate the user using the log-in identifier and password supplied by the user. If authentication unit 600 authenticates the user, then the exemplary process may continue with block 1010. If authentication unit 600 does not authenticate the user, then the user will be denied access to the requested custom content. Authentication of the user may occur at the time at which the user requests access to specific custom content, or the authentication may have occurred earlier. For example, a user may log-in at the time the user first accesses search document 910 prior to the user requesting access to specific custom content. For some of the specific custom content associated with a respective custom search index(es), user authentication may not be required and, thus, block 1005 may be skipped.
A search query may be received from the user (block 1010). Custom search engine 520 may receive a search query from a user at a client 205 via network 230. For example, as shown in FIG. 12, a user may enter search terms of a search query into a search document 1200 displayed by the user's browser. One or more custom search indexes associated with the specific custom content that the user requested access to (e.g., corresponding to the custom content identifier(s) supplied by the user) may be searched based on the received search query (block 1015). Custom search engine 520 may search one or more custom search indexes 130-1 through 130-N associated with the specific custom content to which the user requested access to obtain custom search results 540.
Selected ranking parameters associated with the custom content being searched may be obtained (block 1020). The ranking parameters may have been selected by the user that uploaded, or identified, the custom content being searched, as described above with respect to FIG. 9. The ranking parameters may include, but are not limited to, annotations by the user that uploaded or identified custom content 120 that indicate the relative importance or value of different portions of the custom content being searched, usage patterns of users who have accessed the custom content being searched or other custom content not currently being searched, or user feedback provided by other users who have accessed the same custom content and have provided indications of their opinion of the quality of the custom content that they have accessed.
The results of the search of the custom search index(es) may then be ranked (or re-ranked) based on the obtained ranking parameters (block 1025). Custom search engine 520 may use custom content ranking algorithm 170 and the obtained ranking parameters 175 to rank (or re-rank) the results of the search of the custom search index(es). For example, annotations associated with the custom content that corresponds to the searched custom search index(es) may be used by custom content ranking algorithm 170 to rank higher those custom search results with annotations indicating a higher importance than other custom search results with annotations indicating a lower importance.
As another example, user feedback provided by other users who have previously searched the same custom content and have provided indications of their opinion of the quality of the custom content returned to them as the result of a search may be used by custom ranking algorithm 170 to rank the custom search results. For example, those custom search results having a more positive user feedback may be ranked higher than other custom search results having less positive user feedback. FIG. 13 illustrates one exemplary manner in which users accessing custom content may provide feedback that can be used in ranking the results of subsequent searches of the custom content. As shown in FIG. 13, a search result document 1500 may be provided to a user searching a specific corpora of custom content that includes custom search results 1310 that match the user's search query. In addition to custom search results 1310, document 1300 may include a custom content rating window 1320 that permits the user to rate the content contained in custom search results 1310. Window 1320 may include several different ratings (e.g., from poor to excellent) that the user may select to rate the content of custom search results 1310.
FIG. 14 graphically illustrates the use of user feedback in ranking custom content from a specific corpus of custom content. As shown in FIG. 14, user feedback indicators 1400-1 through 1400-n, that rate search results, may have previously been received from users searching a custom search index 130 associated with custom content 120. Each of the user feedback indicators 1400-1 through 1400-n may further be rated. Feedback provided by a first user may be considered to have more weight than feedback provided by a second user. For example, it may be known that the second user consistently provides feedback that is substantially more negative than other users. Feedback provided by this second user, therefore, may be weighted less (i.e., have a lower feedback rating) than feedback provided by the first user. User feedback indicators 1400-1 through 1400-n, possibly in combination with user feedback ratings 1410-1 through 1410-n, may be used by custom content ranking algorithm 170 to rank search results obtained by searching the custom content associated with the user feedback. As shown in FIG. 16, custom search engine 520 (not shown) may obtain custom search results 160 by searching custom search index 130. Custom content ranking algorithm 170 may then rank (or re-rank if custom search results 160 have already been initially ranked) custom search results 160 in an order that is based on user feedback indicators 1400-1 through 1400-n, possibly in combination with user feedback ratings 1410-1 through 1410-n. Thus, results of custom search results 160 that have better user feedback ratings may be ranked higher than other results of custom search results 160 that have worse user feedback ratings.
As a further example, usage patterns associated with users who have accessed the custom content being searched, or with other custom content not being searched, may be used by custom ranking algorithm 170 to rank the custom search results. For example, portions of custom content selected and accessed more frequently from the custom search results may be ranked higher than other portions of custom content selected and accessed less frequently. FIG. 15 graphically illustrates ranking of custom search results based on usage patterns. As shown in FIG. 15, multiple users 1500-1 through 1500-M may access respective custom content 1510-1 through 1510-M. The accessed custom content may include the same corpus of custom content, or different corpora of custom content (i.e., custom content having different custom search indexes). Subscription tracker 730 may implement usage tracking 1520 to track the usage of each corpora of custom content accessed by a user.
The results of usage tracking 1520 may be used by custom content ranking algorithm 170 to rank (or re-rank) custom search results. As shown in FIG. 15, custom search engine 520 (not shown) may return a set of custom search results 160. Custom content ranking function 170 may, based on usage tracking 1520, rank (or re-rank) custom search results 160 in a rank order to produce ranked custom search results 185.
Ranked results of the search of the custom search index(es) may be provided to the user (block 1030). Data delivery engine/content formatter 530 may format ranked custom search results 540 received from custom search engine 520 and provide the formatted custom search results 540 to a client 205 associated with the authenticated user via network 230.
Web search index 110 may also be searched based on the search query (optional block 1035). Web search engine 420 may search web search index 110, based on the search query, to return web search results 440. The results of the search of web search index 110 may be provided to the user (optional block 1040). Result formatter 350 may combine the formatted custom search results 540 received from data delivery engine/content formatter 530 together with web search results 440 and provide the combined results to a client 205 associated with the authenticated user via network 230. For example, as shown in FIG. 16, ranked custom search results 540 may be provided to the authenticated user via a search result document 1800 along with web search results 440. As depicted in FIG. 16, custom search results 540 may be displayed prominently (e.g., at the top of the search results), or highlighted, with respect to web search results 440.
Implementations described herein provide illustration and description, but is not intended to be exhaustive or to limit the invention to the precise form disclosed. Modifications and variations are possible in light of the above teachings, or may be acquired from practice of the invention. For example, while series of acts have been described with regard to FIGS. 8, 10A and 10B, the order of the acts may be modified in other implementations. Further, non-dependent acts may be performed in parallel.
It will be apparent that aspects described herein may be implemented in many different forms of software, firmware, and hardware in the implementations illustrated in the figures. The actual software code or specialized control hardware used to implement these aspects is not limiting of the invention. Thus, the operation and behavior of the aspects have been described without reference to the specific software code, it being understood that software and control hardware could be designed to implement the aspects based on the description herein.
providing, using one or more hardware components associated with the one or more server devices, the search results document to the user.
indexing the received first custom content to produce the custom search index.
3. The method of claim 2, where the first custom content is received from the user by being uploaded from the user via an application programming interface (API).
4. The method of claim 1, where the web content includes text associated with a plurality of documents crawled on the web.
indexing the second custom content to produce a second custom search index, where the second custom search index is different than the custom search index and the web search index.
providing the ranked third search results to the user.
7. The method of claim 2, where the one or more ranking parameters comprise at least one of previous user feedback associated with custom content that corresponds to the custom search index, annotations of the custom content provided by the user, or usage patterns associated with other users previously accessing and searching the custom content.
8. The method of claim 7, where the one or more ranking parameters further comprise ratings associated with the previous user feedback that rate a quality of the previous user feedback.
receiving the custom content from the user and the second content from the second user via an extensible markup language application programming interface.
means for providing the search results document to the user.
"Yahoo Search Subscriptions Brings Premium Content Into Web Search" Blog, http://blog.searchenginewatch.com/blog/050616-000001, pp. 1-3, posted Jun. 15, 2005.
U.S. Appl. No. 11/618,327, filed Dec. 29, 2006 entitled "Custom Search Index", by Johnny Chen et al.; 36 pages+13 pages of drawings.
U.S. Appl. No. 11/618,391, filed Dec. 29, 2006 entitled "Custom Content and Advertising", by Clarence C. Mysen et al.; 28 pages+10 pages of drawings.
U.S. Appl. No. 11/618,461, filed Dec. 29, 2006 entitled "Custom Search", by Clarence C. Mysen et al.; 41 pages+22 pages of drawings.
U.S. Appl. No. 11/618,463, filed Dec. 29, 2006 entitled "Custom Content Provisioning", by Clarence C. Mysen et al.; 47 pages+17 pages of drawings.
U.S. Appl. No. 12/209,996, filed Sep. 12, 2008 entitled "Custom Search Index Data Security", by Johnny Chen et al.; 51 pages+23 pages of drawings.


I haven't read any of these, but several are on my TBR list. Glad to see you enjoed them.
I loved the Michelle Moran books but I haven't read any of the rest of these.
That's a really good list of books. I'm interested in Bel Canto, Ptolemy's Gate an When We Were Romans. Where to start?!
I've got to get to the Michelle Moran books – they're in the bookcase right beside me.
The Guernsey Literary and Potato Peel Pie Society was such an unexpected great read. I resisted for months afraid that it could not possibly live up to all the hype, but then loved it.
Hours waiting on my shelves. I best get to it if it's that good. These lists are such fun to read.


text:
Diagnostic Specialties
Client and Patient Support
Julie Canman, PhD
Credentials & Experience
Academic Appointments
Associate Professor of Pathology & Cell Biology
Email: jcc2210@cumc.columbia.edu
BS, Zoology, University of Wisconsin - Madison
PhD, Biology, UNC - Chapel Hill
2011-2016 NIH Director's New Innovator Award
2008 Kerr Award for Research Excellence, Ludwig Institute for Cancer Research, Univ. of California at San Diego
2006 - 2009 Special Fellow, Leukemia and Lymphoma Society
2003 - 2006 Fellow, Jane Coffin Childs Memorial Fund for Cancer Research
Molecular regulation of cell division and mechanisms of diversity during cytokinesis
CELL POLARITY AND CYTOKINESIS (Federal Gov)
Feb 1 2016 - Dec 31 2019
UNCOVERING HOW POLARITY CONTROLS CELL DIVISION IN A MULTICELLULAR ENVIRONMENT (Private)
Jul 1 2015 - Jun 30 2017
IR-LAMP: OPTIGENETIC TECHNOLOGY TO SPATIALLY MANIPULATE PROTEIN FUNCTION IN VIVO (Federal Gov)
Sep 30 2011 - Jun 30 2016
E. Gigant, M. Stefanutti, K. Leband, A. Gluszek-Kustusz, F. Edwards, B. Lacroix, G. Maton, J.C. Canman, J.P.I. Welburn, and J. Dumont. 2017. Inhibition of ectopic microtubule assembly by the kinesin-13 KLP-7 prevents chromosome segregation and cytokinesis defects in oocytes. Development. 144:1674-1686.
Y. Zhuravlev, S. Hirsch, S.N. Jordan, M. Shirasu-Hiza, J. Dumont, and J.C. Canman. 2017. CYK-4 regulates Rac, but not Rho, during cytokinesis. Molecular Biology of the Cell. 28(9):1258-1271.
R.M. O'Connor#, E.F. Stone#, C.R. Wayne, E.V. Marcinkevicius, M. Ulgherait, R. Delventhal, M.M. Pantalia, V.M. Hill, C.G. Zhao, S. McAllister, A. Chen, J.S. Zeigenfuss, W.B. Grueber, J.C. Canman, and M. Shirasu-Hiza. 2017. A Drosophila model of Fragile X syndrome exhibits defects in phagocytosis by innate immune cells. The Journal of Cell Biology. 216(3): 595-605. #Authors contributed equally.
- Highlighted in Spotlight: M.A. Logan. 2017. Fragile phagocytes: FMRP positively regulates engulfment activity. The Journal of Cell Biology. 216(3): 531-533.
- Highlighted in Editors' choice: A. Mushegian. 2017. Impaired phagocytosis in fragile X. Science Signaling. 10 (473).
S. Sundaramoorthy, S.M. Hirsch, A.G. Badaracco, J.H. Park, T. Davies, J. Dumont, M. Shirasu-Hiza, A.C. Kummel, and J.C. Canman. 2017. Low efficiency upconversion nanoparticles for high-resolution co-alignment of near-infrared and visible light paths on a light microscope. ACS Applied Materials and Interfaces. 9(9):7929-7940.
M. Ulgherait, A. Chen, M. Oliva, H.X. Kim, J.C. Canman, W.W. Ja, and M. Shirasu-Hiza. 2016. Dietary restriction extends the lifespan of circadian mutants tim and per. Cell Metabolism. 13;24(6):763-764.
V.W. Allen, R.M. O'Conner, M. Ulgherait, C.G. Zhao, E.F. Stone, V.M. Hill, K.R. Murphy, J.C. Canman, W.W. Ja, and M. Shirasu-Hiza. 2016. period-regulated feeding behavior and TOR signaling modulate survival of infection. Current Biology. 26(2):184-94.
S.N. Jordan, T. Davies, Y. Zhuravlev, J. Dumont, M. Shirasu-Hiza, and J.C. Canman. 2016. Cortical PAR proteins promote robust cytokinesis during asymmetric cell division. The Journal of Cell Biology. 221:39-49.
- Featured story on the January 4, 2016 Biobytes podcast from The Journal of Cell Biology
- Featured on issue cover
G. Maton, F. Edwards, B. Lacroix, M. Stefanutti, K. Laband, T. Lieury, T. Kim, J. Espeut, J.C. Canman, and J. Dumont. 2015. Kinetochore components are required for central spindle assembly. Nature Cell Biology. 17:697-705.
- Highlighted by: T. Fukagawa. 2015. Cell Division: A new role for the kinetochore in central spindle assembly. Current Biology. 25: R554-R557.
T. Davies#, S.N. Jordan#, V. Chand, J.A. Sees, K. Laband, A.X. Carvalho, M. Shirasu-Hiza, D.R. Kovar, J. Dumont, and J.C. Canman. 2014. High-resolution temporal analysis reveals a functional timeline for the molecular regulation of cytokinesis. Developmental Cell. 30:209–223. #Authors contributed equally.
For a complete list of publications, please visit PubMed.gov


text:
Our editor-in-chief Nate Yapp is proud to have contributed to the new book Hidden Horror: A Celebration of 101 Underrated and Overlooked Fright Flicks, edited by Aaron Christensen. Another contributors include Anthony Timpone, B.J. Colangelo, Dave Alexander, Classic-Horror.com's own Robert C. Ring and John W. Bowen. Pick up a copy today from Amazon.com!
Reviews: L
View all 722 reviews by:
# A B C D E F G H I J K L M N O P Q R S T U V W Y Z
Lust for a Vampire
Dir.
Harry O. Hoyt
Janusz Kaminski
Colin Eggleston
A Lizard in a Woman's Skin
The Living Dead at Manchester Morgue
Jorge Grau
The Little Shop of Horrors
Shock Waves (1977)
Mary Shelley's Frankenstein (1994)
Many Happy Returns: Our Final Post
The Terrorphile: The Song is Over (Farewell/Horror Tribute fanvid)
Review: The Vampire Bat (1933)
Ray Bradbury (1920-2012)
Review: Audition (1999)
Support Classic-Horror.com and keep it ad-free by making a small donation via PayPal.
By Release Year
By Publication Date
Effects Artists
Classic-Horror is © by Answer 42 Media, 1999-present (Contact Form, RSS Feed). All Rights Reserved. Other materials are owned by their respective copyright holders, and will not be infringed upon herein.


Cheapest High Speed small stone spice grinder machine for sale . hot sale small Stainless steel tahini sesame paste stone grinder mill making machine.
Grinding Stone For Flour Mills, Wholesale Various High Quality Grinding Stone For . from China coconut grinding stone for wet rice flour mills making machine.
Traditional Tahini stone mill/peanut butter making machine/sesame seeds grinder .. Hot Sale Natural Stone Flour Mill/Tahini Stone Mill/Soybean Milk Grinding.
Flour Milling Machine Stone, Wholesale Various High Quality Flour Milling Machine . Corn flour milling machine stone/ flour grain mill/ flour making process.
stone grinding mill for making offers 2126 stone ball making machine products. About 16% of these are mine mill, 14% are stone machinery, and 1% are grinding equipment.
gypsum grinding mill/gypsum powder plant machinery/gypsum making .. Mineral Stone Grinding Machine/Grinding Ball Mill/Powder Making Mill From Jiangxi.
Flour Stone Mill Machine, Wholesale Various High Quality Flour Stone Mill Machine Products from . Corn flour mill/wheat flour stone mill making machine.
Zenith mini stone grinder for sale, micron powder making machine. Add to Compare . Mine Mill Machine Stone Grinding Mill,Stone Powder Making Machine.
Stone Milling Machine, Wholesale Various High Quality Stone Milling . Energy Saving Advantage Technology Ball Milling Mill Stone Powder Making Machine.
HSM Grinding Machine Quartz Stone Powder Making Machine. Add to Compare . Stone Grinding Mill Quartz Powder Making Machine. Add to Compare.
A wide variety of stone corn grinder mill options are available to you, such as free . Flour Making And Packaging Oat Wheat Maize Rolling Stone Grinding Mill.
new design gem stone round beads grinding machine, stone beads fine chamfering .. stone beads making machine , grinding machine for stone beads.
ore powder grinding glass aluminum silex lining stone for ball mill ... mineral stone grinding Ball Mill machine /powder making mill with excellent output.
stone grinding mill for making offers 4674 stone grinding machine price products. . Manufacturer Price high quality stone mill grinder powder making machine extracting gold.
SBM low price micro powder industrial fine grinding machine stone . Grinding Equipment Make fine powder crushed dry red chilli grinder machine.
Glass Powder Grinding Machine, Wholesale Various High Quality Glass Powder . Stone Gypsum Powder Making Machine Limestone Silica Sand Coal Glass.


text:
Social Science Knowledge Base
Data and research on social and welfare issues including families and children, gender equality, GINI coefficient, well-being, poverty reduction, human capital and inequality., The database currently includes 24 indicators in three broad groupings: grouped along three main dimensions: 1) the housing market context, 2) housing conditions, and 3) public policies towards affordable housing.
It may be, they claim, the first "official definition of science" ever published. Here's what they've come up with: "Science is the pursuit of knowledge and understanding of the natural and social.
. one place his major contributions to the disability knowledge base in sociology. Social Science and Disability, Volume 9) Emerald Group Publishing Limited,
YATESVILLE — Pittston Area School District educational assistant Camile Poli faces 25 summary offense charges alleging she publicly released social security numbers. "Our campaign is based solely.
And in terms of curricular innovation, students need a breadth of knowledge. One option is through stand-alone classes:.
Common Core State StandardS for engliSh language artS & literaCy in hiStory/SoCial StudieS, SCienCe, and teChniCal SubjeCtS appendix a | 3 rarely held accountable for what they are able to read independently (Heller & Greenleaf, 2007).
But is there a global crisis in the supply of fundamental knowledge. base on the relationship between science and innovation: the most important way in which taxpayer-funded science impacts upon.
Keywords: science studies, STS, knowledge base, core contributions, such as the Society for Social Studies of Science (4S, founded in 1975) and the.
Our progress would be measured not by grades, courses, or credits piled up, but by examinations across broad fields of knowledge. political science, or art. Instead, it established schools of.
Sociologists study society and social behavior by examining the groups, cultures, organizations, social institutions, and processes that develop when people interact and work together.
C V Raman Physicist You might be aware that 28 th February is celebrated as National Science Day in India but do you know why and for what the day is celebrated as National Science Day. I am also sure you must have heard about celebrated Indian Scientist Sir Chandrasekhara Venkata Raman. On this day in 1928, he discovered
Dassault Systèmes organizes and takes part in events all around the world
constructing bases and space stations to expand the reach of your expedition. Kerbal Space Program features three gameplay.
May 26, 2018 · Looking for a federal job? Learn about the GS-0100 occupational group, which includes federal jobs in social science, psychology, welfare, and more!
A knowledge city has several characteristics, including diverse knowledge industries, key knowledge-producing infrastructure (such as universities and science parks), and a quality of life that.
Table of Contents. Language Of Research. Philosophy of Research.
Aug 24, 2015. Methods Knowledge Base over the web by selecting the link. Purchase. courses in applied social research methods since joining the. faculty at. In most research studies, the analysis section follows these three phases of.
"We hope the addition of this vast collection of Online Books will make a real difference to researchers in countries which can least afford it and as such is a central part of Wiley's social.
Read chapter 3 Building the Knowledge Base: Transforming education into an. The EOS data are considered one of the most important social science data.
Two UK top-notch universities have joined forces to support Malawi raise her profile on social work and the profession's workers' welfare. Dr Simon Cauvain, Nottingham Trent University head of Social.
Have a quick question? Need help getting started? Drop-in hours are Wed. 2- 3pm and Thurs. 10-11am year-round, no appointment necessary. If you need.
Feb 27, 2017. Engaged Social Science: Impacts and Use of Research in the UK (January. To find out more, visit the national bibliographic knowledgebase project page, Neil Wilson has an MA in library and information studies from.
Social science is a category of academic disciplines, concerned with society and the. The social science disciplines are branches of knowledge taught and researched at. History has a base in both the social sciences and the humanities.
Oct 20, 2006. The Research Methods Knowledge Base is a comprehensive web-based textbook that addresses all of the topics in a typical introductory.
Mar 11, 2014. The body of knowledge that constitutes social science is essentially in a. " creatively destroy") old knowledge base and start afresh with a new.
Last week, science historian Mark Carey of the University. with Carey about defining a feminist glaciology framework, how social and humanities research can help inform scientific knowledge, and.
Environmental scientists and specialists use their knowledge of the natural sciences to protect the environment and human health. They may clean up polluted areas, advise policymakers, or work with industry to reduce waste. Employment of environmental scientists and specialists.
Mar 25, 2005 · To understand the social determinants of health, how they operate, and how they can be changed to improve health and reduce health inequalities, WHO is setting up an independent Commission on Social Determinants of Health, with the mission to link knowledge with action ().Public policy—both national and global—should change to take into account the evidence on social.
Atomic Amplifire For Sale Car Insurance Comparison Darwin Compare and book flights, hotels, car hire, travel insurance and holiday packages. Find cheap flights from airlines all around the world with Webjet. Compare-autoinsurance.org has launched a new blog post that presents how drivers can obtain cheaper car insurance rates. For more info, please visit. (AP) — Michigan's Democratic governor and
At present, it has formed serval mature English knowledge base, such as YAGO, Series:Advances in Social Science, Education and Humanities Research.
Apr 18, 2019. GoNoodle Knowledge Base. Science & Social Studies Activity Recommendations. While most of our videos are. Check out these videos for some fun content that might fit into a social studies or science class: Road Trippin'.
TIME, CONTINUITY, AND CHANGE Social studies programs should include experiences that provide for the study of the past and its legacy. Studying the past makes it possible for us to understand the human story across time.
Car Insurance Comparison Darwin Compare and book flights, hotels, car hire, travel insurance and holiday packages. Find cheap flights from airlines all around the world with Webjet. Compare-autoinsurance.org has launched a new blog post that presents how drivers can obtain cheaper car insurance rates. For more info, please visit. (AP) — Michigan's Democratic governor and Republican leaders announced Friday
"Gendered Innovations" means employing methods of sex and gender analysis as a resource to create new knowledge and stimulate novel design. The term was coined by Londa Schiebinger in 2005. This website features state-of-the-art "Methods of Sex and Gender Analysis" for basic and applied research. We illustrate how to apply these methods in case studies.
Journal editors should be proud of their exhaustive methods sections and base. knowledge to life. As one of the world's leading publishers of scholarly journals, books, ebooks and reference works.
Explore more than 60 majors, certificates and programs at LaGuardia and find the one that's right for you.
a computational social science lecturer at the University of Chicago, explains, "Even if he answers wrong, he isn't at a significant deficit." Holzhauer "is certainly not risk-averse but given his.
From displays of tarot cards and crystals at our local indie retail stores, to increasingly popular astrology-based social.
Amazon.com: The Research Methods Knowledge Base, 3rd Edition. #450 in Social Sciences Research; #883 in Medical Psychotherapy TA & NLP; #1130 in.
Latest News From Hadron Collider What causes the fresh smell we experience just before the onset of a storm or shower of rain, which is especially noticeable after an extended dry spell? Winners of the Strata Data Awards 2019. The Strata Data Award is given to the most disruptive startup, the most innovative industry technology, the most impactful data science
Our SEED initiative is designed to ensure that all members of our society have the skills, knowledge and opportunity to work.
High-achieving students majoring in the School of Social Ecology can earn Excellence in Research in Social Ecology by participating in a two-part program consisting of faculty-supervised research in the junior and senior years and courses in methodology and statistics.
Jan 7, 2014. This study continues a long history of author cocitation analysis (and more recently, author bibliographic coupling analysis) of the intellectual.
Doug Ducey signed SB1014, which reduces the number of required hours ELL students must be taught and gives school districts.
The amazing faculty and staff do their part by helping our students build the knowledge base, develop the skill. are.
History, Economics, Sociology, Geography and Political Science are the. Globalization and Social Change, Mass Media and Communications, and Social Movements which is awarded 48 marks. Practical.
Your resume must clearly describe your relevant experience; if qualifying based on education. and/or technical experience.
The International Relations Theory Web Site. Please contribute to our project! We seek your assistance in helping to create a descriptive list (see below) of existing IR paradigms, approaches and theories.If you know of a particular IR theory, for example, that is not listed and described below, please e-mail the name of the theory and a brief description of it to Mark Beavis at irtheory.
Society and Science: Home Page Dictionary People Books Web links Social Science History: Time line for the history of society, science and social science A time line from before writing began to the present, linked to Andrew Roberts' book Social Science History and to other resources, including extracts and works of authors and the timelines for crime – America – mental health – sunrise.
The Research Methods Knowledge Base is a comprehensive web-based textbook. introductory undergraduate or graduate course in social research methods.
Serious examination of the social science knowledge base rela-. Stanfield, "The Ethnocentric Basis of Social Science Knowledge Production," Review of.
The OceanVisions initiative aims at developing an integrated knowledge base of the natural and social sciences, and engineering that enable ocean solutions.
Is Oceanography/marine Bio Hard Class Link to Departments website. The major in Accounting at UGA is designed to give students an understanding of the theory of accounting as it is used in our society: accounting standards, financial statement preparation, product costs, budgeting, taxation, auditing, risk assessment, and controls. Pursuing a career in marine biology or oceanography can be a challenging
Definitions of Measures Associated with References, Cites, and Citations. Total References: Total number of references to other papers that have been resolved to date, for papers in the SSRN eLibrary. Total Citations: Total number of cites to papers in the SSRN eLibrary whose links have been resolved to date. Total Footnotes: Total number of footnotes resolved in the SSRN eLibrary.
q the Knowledge Base — an online hypertext textbook on applied social. In most research studies, the analysis section follows these three phases of analysis.
The College of Social Work at the University of Tennessee, Knoxville has a proud tradition of seventy-five years of social work education. The college offers the BSSW, MSSW, DSW, and PhD degrees. Located in Nashville and Knoxville, and through the Online BSSW, MSSW and DSW programs, the College spans the state, the nation, and even the world in its educational, research and public service.
Jobs A Zoologist Can Get
Cerner How To Use


I am in the United States Navy and I have to travel around a lot. I use a lot of the services when I am in a new city for a while. I love being able to just go from port to port every four years. I finally made it to the West Coast after serving for ten years on the East Coast. I knew that I was going to have to find a mobile auto detailing in San Diego that could come to navy housing and actually wash my car for me. When I came over from the East Coast my car was absolutely ruined and I knew that I was going to have to go and spend some time looking at all of the different places that were going to tell me that they would be worthy of washing my great new sports car.
I knew that it was going to be risky if I drove my brand new sports car across country but I did not have another vehicle at the time and the navy paid for my things to go from coast to coast. Before I could even unpack my things, I had to get all of the dirt and the rock marks buffed but I did not want to have to go out and go from place to place and actually risk getting more things done to my car. I could not believe it when I had a tractor trailer pull out in front of me and almost threw me off of the road because it was really close and I knew that he was going to pull out and he did when it was almost too late to do so. The police officer caught up to him and pulled him over to my delight.


Your furniture can be made to your own personal style and taste.
We have the largest range of fabrics within the East Midlands viewable at our showroom on Daleside Road in Nottingham.
Come and have a chat over coffee in our quality showroom and we'll be pleased to discuss the options with you.