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.

Cancer epidemiology and control in the arab world - past, present and future.

Abstract: The Arab world, stretching from Lebanon and Syria in the north, through to Morocco in the west, Yemen in the south and Iraq in the east, is the home of more than 300 million people. Cancer is already a major problem and the lifestyle changes underlying the markedly increasing rates for diabetes mean that the burden of neoplasia will only become heavier over time, especially with increasing obesity and aging of what are now still youthful populations. The age-distributions of the affected patients in fact might also indicate cohort effects in many cases. There are a number of active registries in the region and population-based data are now available for a considerable number of countries. A body of Arab scientists is also contributing to epidemiological research into the causes of cancer and how to develop effective control programs. The present review covers the relevant PubMed literature and cancer incidence data from various sources, highlighting similarities and variation in the different cancer types, with attempts to explain disparities with reference to possible environmental factors. In males, the most prevalent cancers vary, with lung, urinary bladder or liver in first place, while for females throughout the region breast cancer is the greatest problem. In both sexes, non-Hodgkins lymphomas and leukemias are relatively frequent, along with thyroid cancer in certain female populations. Adenocarcinomas of the breast, prostate and colorectum appear to be increasing. Coordination of activities within the Arab world could bring major benefits to cancer control in the eastern Mediterranean region.

A model to estimate intrinsic document relevance from the clickthrough logs of a web search engine

Abstract: We propose a new model to interpret the clickthrough logs of a web search engine. This model is based on explicit assumptions on the user behavior. In particular, we draw conclusions on a document relevance by observing the user behavior after he examined the document and not based on whether a user clicks or not a document url. This results in a model based on intrinsic relevance, as opposed to perceived relevance. We use the model to predict document relevance and then use this as feature for a "Learning to Rank" machine learning algorithm. Comparing the ranking functions obtained by training the algorithm with and without the new feature we observe surprisingly good results. This is particularly notable given that the baseline we use is the heavily optimized ranking function of a leading commercial search engine. A deeper analysis shows that the new feature is particularly helpful for non navigational queries and queries with a large abandonment rate or a large average number of queries per session. This is important because these types of query is considered to be the most difficult to solve.

System and method for enhanced media distribution

Abstract: A method and a computer readable medium for searching for media items from a network of users using a media management application and an instant messenger platform and a system for handling searches such searches. In one aspect, the method comprises receiving from a user having a group of messenger friends, a search request for a media item, identifying other users of the instant messaging service to form a list of candidate users, searching media items associated with each candidate user to develop a search result that fulfills the search request, and returning to the searching user the search result comprising information identifying which candidate user is associated with a media item source that can act as a source of a media item identified in the search result.

Poor sleep quality is associated with late noninvasive ventilation failure in patients with acute hypercapnic respiratory failure.

Abstract: Objective:To determine whether sleep quality helps to predict noninvasive ventilation outcome in patients with acute hypercapnic respiratory failure. Despite an initial clinical improvement, nearly one fourth of patients may fail noninvasive ventilation after several days. Because late intubation is

Neutrophil lymphocyte ratios in stroke subtypes and transient ischemic attack.

Abstract: OBJECTIVES: This investigation was conducted to test the value of Neutrophil Lymphocyte Ratio (NLR), which has been shown in some recent studies to be a prognostically im - portant and an easy-to-measure inflammatory marker, in patients presenting to Emergency Service with stroke (ischemic and hemorrhagic) and transient ischemic attack. MATERIALS AND METHODS: A total of 868 patients were enrolled, who presented to our Emergency Service with cerebrovascular acci - dent (stroke and transient ischemic attack) and admitted to Neurology Clinic. Demographic char - acteristics and comorbidities of patients were recorded. The patients were divided into 3 groups as acute ischemic stroke (AIS), acute he - morrhagic stroke (AHS) and transient ischemic attack (TIA). Patients with AIS were classified in - to subgroups in terms of TOAST (trial of 10172 stroke treatment) criteria. Admission NLR levels were compared across all groups. RESULTS: A total of 868 patients were enrolled, 51.6% of which were male and 48.4% were female. AIS rate was 75.3%, AHS rate was 14.3% and TIA rate was 10.7%. In all of patients, mortality rate was 10.7%. NLR was significantly higher in pa - tients who died ( p < 0.001). NLR level in patients with TIA was significantly lower than those of AIS and AHS groups ( p < 0.001). Among AIS sub - groups, NLR level was significantly higher in group with great artery atherosclerosis or atherothrom - bosis compared to other groups ( p < 0.001). CONCLUSIONS: NLR may be used as a simple and easy-to-measure marker for prediction of short-term prognosis and in-hospital mortality in both ischemic and hemorrhagic stroke patients.