Yahoo!

About: Yahoo! is a company organization based out in London, United Kingdom. It is known for research contribution in the topics: Population & Web search query. The organization has 26749 authors who have published 29915 publications receiving 732583 citations. The organization is also known as: Yahoo! Inc. & Maudwen-Yahoo! Inc.

Discovering Overlapping Groups in Social Media

Abstract: The increasing popularity of social media is shortening the distance between people. Social activities, e.g., tagging in Flickr, book marking in Delicious, twittering in Twitter, etc. are reshaping people’s social life and redefining their social roles. People with shared interests tend to form their groups in social media, and users within the same community likely exhibit similar social behavior (e.g., going for the same movies, having similar political viewpoints), which in turn reinforces the community structure. The multiple interactions in social activities entail that the community structures are often overlapping, i.e., one person is involved in several communities. We propose a novel co-clustering framework, which takes advantage of networking information between users and tags in social media, to discover these overlapping communities. In our method, users are connected via tags and tags are connected to users. This explicit representation of users and tags is useful for understanding group evolution by looking at who is interested in what. The efficacy of our method is supported by empirical evaluation in both synthetic and online social networking data.

Animal Models of Inflammation for Screening of Anti-inflammatory Drugs: Implications for the Discovery and Development of Phytopharmaceuticals.

Abstract: Inflammation is one of the common events in the majority of acute as well as chronic debilitating diseases and represent a chief cause of morbidity in today’s era of modern lifestyle. If unchecked, inflammation leads to development of rheumatoid arthritis, diabetes, cancer, Alzheimer’s disease, and atherosclerosis along with pulmonary, autoimmune and cardiovascular diseases. Inflammation involves a complex network of many mediators, a variety of cells, and execution of multiple pathways. Current therapy for inflammatory diseases is limited to the steroidal and non-steroidal anti-inflammatory agents. The chronic use of these drugs is reported to cause severe adverse effects like gastrointestinal, cardiovascular, and renal abnormalities. There is a massive need to explore new anti-inflammatory agents with selective action and lesser toxicity. Plants and isolated phytoconstituents are promising and interesting sources of new anti-inflammatories. However, drug development from natural sources has been linked with hurdles like the complex nature of extracts, difficulties in isolation of pure phytoconstituents, and the yield of isolated compounds in minute quantities that is insufficient for subsequent lead development. Although various in-vivo and in-vitro models for anti-inflammatory drug development are available, judicious selection of appropriate animal models is a vital step in the early phase of drug development. Systematic evaluation of phytoconstituents can facilitate the identification and development of potential anti-inflammatory leads from natural sources. The present review describes various techniques of anti-inflammatory drug screening with its advantages and limitations, elaboration on biological targets of phytoconstituents in inflammation and biomarkers for the prediction of adverse effects of anti-inflammatory drugs. The systematic approach proposed through present article for anti-inflammatory drug screening can rationalize the identification of novel phytoconstituents at the initial stage of drug screening programs.

Open framework for integrating, associating, and interacting with content objects including automatic feed creation

Abstract: Information regarding a mobile user's context including but not limited to current mobile activity, social relations and associations history, and past mobile, search and browsing history is identified and converted to metadata. Metadata is also applied to content sources delivering content to a search engine or personalized content engine. The metadata is used in part to determine the relative display of content objects delivered to the mobile user as search results or a personalized aggregated information resource, e.g., home page. The user may select information, from one or more entities or search results or as presented to the user in other contexts, to be automatically delivered to the user's home page as a content feed including multiple content objects or content feeds associated with an entity. Information regarding mobile user activity is compiled and used to permit publishers and advertisers to identify target candidates to receive advertisements or marketing materials.

Displaying aggregated new content by selected other user based on their authorization level

Abstract: Enabling a content publisher and a receiving user to control access to content updates based on user relationships. The content publisher and the receiving user may assign a relationship degree, relationship category, and/or relationship rating to each other and to other users. The content publisher and/or receiving user also specify a required relationship that is needed to access or accept a content update. The content publisher and receiving user may further specify acceptable types of content updates, such as blog entries, product reviews, photos, and the like that are accessible or acceptable. Upon logon or other event, a summary of content updates is provided to each receiving user that meets each content publisher's required relationship, and the content updates are delivered according to a selected delivery method from those content publishers that meet the relationship requirements of the receiving users. Delivery includes email, instant message, RSS feeds, and the like.

Classification and an algorithmic approach to the reconstruction of femoral deficiency in revision total hip arthroplasty.

Abstract: As the number of patients who have undergone total hip arthroplasty rises, the number of patients requiring revision surgery for a failed total hip arthroplasty increases as well. It is estimated that 183,000 total hip replacements were performed in the United States in 2000 and that 31,000 (17%) of these were revision procedures1. Femoral reconstruction at the time of revision total hip arthroplasty can be challenging both from a technical perspective and in terms of preoperative planning. With multiple reconstructive options available, it is helpful to have a classification system available to guide the surgeon in selecting the appropriate method of reconstruction. A system for the classification of femoral deficiency that was developed by the senior author (W.G.P.)2 and an algorithmic approach to femoral reconstruction are presented in the current report. Seventy-one consecutive femoral revision arthroplasties that involved reconstruction with an extensively coated, diaphyseal fitting stem were reviewed at a minimum of eight years2. Component stability was classified with use of the system of Engh et al.3. Femoral deficiency was classified as follows. Type I: A femur with a type-I defect has minimal loss of metaphyseal cancellous bone and an intact diaphysis. This type of defect often is seen after the removal of a cementless femoral component without a biological ingrowth surface (Figs. 1-A and 1-B). Fig. 1-A Figs. 1-A and 1-B Type-I femoral deficiency. There is minimal loss of metaphyseal cancellous bone and an intact diaphysis. Fig. 1-B Figs. 1-A and 1-B Type-I femoral deficiency. There is minimal loss of metaphyseal cancellous bone and an intact diaphysis. Type II: A femur with a type-II defect has extensive loss of metaphyseal cancellous bone and an intact diaphysis. This type of defect often is encountered after the removal of a cemented femoral component (Figs. 2-A and 2-B …