background and objective: co-authorship on writing articles is one of the indicators of reliability in scientific articles. due to the lack of information regarding to the rate of participation of the authors of articles in the ” iranian journal of pathology” this research with the aim of the survey of collaborative coefficients of article authors in this journal  from 2006 to 2012 was performe...

A collaborative virtual geographic environment (CVGE) is a 3-D, distributed, and graphical world representing and simulating geographic phenomena and processes to enable geographically distributed users to explore geoproblems and theories and generate hypotheses, and to support geomodel building and validation and collaborative ecological planning. This chapter reports an approach to establishi...

Existing methods for arbitrary-shaped text detection in natural scenes face two critical issues, i.e., (1) fracture detections at the gaps a instance; and (2) inaccurate of instances with diverse background context. To address these we propose novel method named Intra- Inter-Instance Collaborative Learning (I3CL). Specifically, to first issue, design an effective convolutional module multiple r...

Methods: We performed a systematic search of Medline, the four full text collections (Science Direct, Ingenta Select, Ovid full text and Wiley Interscience) from 1966 until Jan 2014.The Cochrane Gynaecological Cancer Collaborative Review Group’s Trial Register was also searched. For databases other than Medline, the search strategy had been adapted accordingly. In addition we searched abstracts...

This poster explores CSCL practices relating to the use of a tool that employs information visualization techniques and large-scale text processing and analysis to complement qualitative analysis of collaborative discourse. Results from latent semantic analysis and qualitative analysis of online discussion transcripts are compared. Findings suggest that such tools that automate analyses of larg...

We propose methods for unsupervised learning of text profiles for music from unstructured text obtained from the web. The profiles can be used for classification, recommendation, and understanding, and may be used in conjunction with existing methods such as audio analysis and collaborative filtering to improve performance. A formal method for analyzing the quality of the learned profiles is gi...

[PDF] [Full Text] [Abstract] , December 1, 2004; 28 (4): 199-209. Advan Physiol Educ D. B. Luckie, J. J. Maleszewski, S. D. Loznak and M. Krha learning: a four-year study of "Teams and Streams" Infusion of collaborative inquiry throughout a biology curriculum increases student [Full Text] , September 1, 2005; 29 (3): 183-184. Advan Physiol Educ P. M. Vanderburgh TOOLS TO INCREASE CRITICAL THI...

Collaborative learning in computer-supported learning environments typically means that learners work on tasks together, discussing their individual perspectives via text-based media or videoconferencing, and consequently acquire knowledge. Collaborative learning, however, is often sub-optimal with respect to how learners work on the concepts that are supposed to be learned and how learners int...

A distributed classification paradigm known as collaborative tagging has been successfully deployed in large-scale web applications designed to organize and share diverse online resources. Communities of web users categorize resources by associating metadata with them, in the form of freely chosen text labels, or tags. Here we regard tags as basic dynamical entities and study the semiotic dynam...

The increasingly widespread use of social software (e.g., Wikis, Google Docs) in second language (L2) settings has brought a renewed attention to collaborative writing. Although the current methodological approaches to examining collaborative writing are valuable to understand L2 students’ interactional patterns or perceived experiences, they can be insufficient to capture the quantity and qual...