We analyze the entire publication database of the American Physical Society generating longitudinal (50 years) citation networks geolocalized at the level of single urban areas. We define the knowledge diffusion proxy, and scientific production ranking algorithms to capture the spatio-temporal dynamics of Physics knowledge worldwide. By using the knowledge diffusion proxy we identify the key ci...

Ranking queries, also known as top-k queries, have drawn considerable attention due to their usability in various applications. Several algorithms have been proposed for the evaluation of top-k queries. A large percentage of them follow the Threshold Approach. In p2p networks, top-k query processing can provide a lot of advantages both in time and bandwidth consumption. We focus on the main ada...

Outlier detection is one of the obstacles of big dataset analysis because of its time consumption issues. This paper proposes a fast outlier detection method for big datasets, which is a combination of cell-based algorithms and a ranking-based algorithm with various depths. A cell-based algorithm is proposed to transform a very large dataset to a fairly small set of weighted cells based on pred...

this research has been done in order to assessing factor that are affecting on optimizing water consumption method in household sector of the rural areas of bushehr township. the used method for gathering information in this study is descriptive and analysis. so that first, effective factors on water consumption method has been recognized after that the questionnaire has been provided. 257 cons...

The reproducibility, relative validity, and responsiveness to change of an eight-item food frequency questionnaire designed to measure fruit and vegetable consumption was assessed among 157 women (mean age = 41 years) in the Netherlands from spring 2001 to spring 2002. Plasma concentrations of vitamin C and total and specific carotenoids served as biomarkers against which validity was assessed....

In the past few years, there has been much work on incorporating fairness requirements into algorithmic rankers, with contributions coming from data management, algorithms, information retrieval, and recommender systems communities. this survey, we give a systematic overview of work, offering broad perspective that connects formalizations approaches across sub-fields. An important contribution ...

In this paperwe comparepronoun resolution algorithmsand introduce a centering algorithm(LeftRightCentering) that adheres to the constraints and rules of centering theory and is an alternative to Brennan, Friedman, and Pollard’s (1987) algorithm. We then use the Left-Right Centering algorithm to see if two psycholinguistic claims on Cf-list ranking will actually improve pronoun resolution accura...

This paper describes the approaches and results of our system for the NTCIR-10 INTENT task. We present some methods for Subtopic Mining subtask and Document Ranking subtask. In the Subtopic Mining subtask, we employ a voting method to rank candidate subtopics and semantic resource HowNet was used to merge those candidate subtopics which may impact diversity. In the Document Ranking Subtask, we ...