نتایج جستجو برای: spearman correlation coefficient

تعداد نتایج: 520565  

Journal: :journal of industrial strategic management 2015
t. mojibi f. nabavi

this paper aims to consider the relationship between social capital and social responsibility in islamic azad university – firouzkouh branch. the population of research all faculty members, managers and experts employed in islamic azad university - firouzkouh branch. the sample sizeincludes 157 peopledetermined by jeris-morgan formula using the stratified random sampling method. firstly, a ques...

One of the important abilities of learners is to monitor their own learning process and take charge of their development. To this end and based on the correlational nature of the study design, total of 125 students (for the Winter semester of 2017) educating at Zanjan Universities (89 B.A. students of Islamic Azad University and 60 B.A. students of Payam-e-Noor University) were chosen as the st...

Journal: :The Journal of infectious diseases 2010
Dennis L Chao M Elizabeth Halloran Ira M Longini

The opening of schools in the late summer of 2009 may have triggered the fall wave of pandemic influenza A(H1N1) in the United States. We found that an elevated percentage of outpatient visits for influenza-like illness occurred an average of 14 days after schools opened in the fall of 2009. The timing of these events was highly correlated (Spearman correlation coefficient, 0.62; P<.001). This ...

Journal: :Circulation. Arrhythmia and electrophysiology 2015
Waqas Ullah Ross J Hunter Victoria Baker Liang-Han Ling Mehul B Dhinoja Simon Sporton Mark J Earley Richard J Schilling

BACKGROUND During left atrial mapping, optimal contact parameters minimizing variation secondary to catheter contact are not established. METHODS AND RESULTS Across 30 patients undergoing first-time atrial fibrillation ablation, 1965 stable mapping points (1409 atrial fibrillation, 556 sinus rhythm), comprising 8-s contact force (CF) and bipolar electrogram data were analyzed. Points were tak...

2012
Kenichi Ozaki Yutaka Motohashi Yoshihiro Kaneko Koji Fujita

BACKGROUND Globally, mental health promotion related to psychological distress in the workplace has become a great concern, and a focus of much research attention. However, a sense of contribution to society and sense of bonding with the workplace have not been examined in relation to psychological distress. Thus, the purpose of this study is to examine whether these two factors are associated ...

2002
Chin-Yew Lin Eduard Hovy

In this paper we discuss manual and automatic evaluations of summaries using data from the Document Understanding Conference 2001 (DUC-2001). We first show the instability of the manual evaluation. Specifically, the low interhuman agreement indicates that more reference summaries are needed. To investigate the feasibility of automated summary evaluation based on the recent BLEU method from mach...

2017
Miloslav Konopík Ondrej Prazák David Steinberger

This paper introduces a Czech dataset for semantic similarity and semantic relatedness. The dataset contains word pairs with hand annotated scores that indicate the semantic similarity and semantic relatedness of the words. The dataset contains 953 word pairs compiled from 9 different sources. It contains words and their contexts taken from real text corpora including extra examples when the wo...

2017
Christophe Charrier Abdelhakim Saadane Christine Fernandez-Maloigne AbdelHakim Saadane

No-reference image quality metrics are of fundamental interest as they can be embedded in practical applications. The main goal of this paper is to perform a comparative study of seven well known no-reference learning-based image quality algorithms. To test the performance of these algorithms, three public databases are used. As a first step, the trial algorithms are compared when no new learni...

2016
Shaoru Guo Yong Guan Ru Li Qi Zhang

Chinese word similarity computing is a fundamental task for natural language processing. This paper presents a method to calculate the similarity between Chinese words based on combination strategy. We apply Baidubaike to train Word2Vector model, and then integrate different methods, Dictionarybased method, Word2Vector-based method and Chinese FrameNet (CFN)based method, to calculate the semant...

Journal: :CoRR 2017
Jasabanta Patro Bidisha Samanta Saurabh Singh Abhipsa Basu Prithwish Mukherjee Monojit Choudhury Animesh Mukherjee

In this paper, we present a set of computational methods to identify the likeliness of a word being borrowed, based on the signals from social media. In terms of Spearman correlation coefficient values, our methods perform more than two times better (nearly 0.62) in predicting the borrowing likeliness compared to the best performing baseline (nearly 0.26) reported in literature. Based on this l...

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