A hybrid approach to managing job offers and candidates

The evolution of the job market has resulted in traditional methods of recruitment becoming insufficient. As it is now necessary to handle volumes of information (mostly in the form of free text) that are impossible to process manually, an analysis and assisted categorization are essential to address this issue. In this paper, we present a combination of the E-Gen and Cortex systems. E-Gen aims to perform analysis and categorization of job offers together with the responses given by the candidates. E-Gen system strategy is based on vectorial and probabilistic models to solve the problem of profiling applications according to a specific job offer. Cortex is a statistical automatic summarization system. In this work, E-Gen uses Cortex as a powerful filter to eliminate irrelevant information contained in candidate answers. Our main objective is to develop a system to assist a recruitment consultant and the results obtained by the proposed combination surpass those of E-Gen in standalone mode on this task.     

基于名实体的新闻专题自动综述系统研究与实现

自动综述是指针对特定的主题进行多文档自动摘要,最终提供简洁、重要的信息.新闻专题自动综述是多文档自动摘要的一种应用形式,它可以帮助人们快速了解某个新闻事件的概貌.提出了一种基于名实体的新闻专题自动综述方法.该方法首先从新闻专题的文章集合中识别并挑选出代表新闻要素的时间、地点、人物、机构等名实体,经过语义处理后进行名实体的频率统计.然后根据句子中名实体的频率,结合句子位置、长度等因素计算句子的综合权值选出摘要句,最后根据句子的时间戳信息对句子排序输出得到最终的新闻专题综述.实验结果表明,该方法是有效的,具有实用价值.     

Web document summarization by exploiting social context with matrix co-factorization

In the context of social media, users usually post relevant information corresponding to the contents of events mentioned in a Web document. This information posses two important values in that (i) it reflects the content of an event and (ii) it shares hidden topics with sentences in the main document. In this paper, we present a novel model to capture the nature of relationships between document sentences and post information (comments or tweets) in sharing hidden topics for summarization of Web documents by utilizing relevant post information. Unlike previous methods which are usually based on hand-crafted features, our approach ranks document sentences and user posts based on their importance to the topics. The sentence-user-post relation is formulated in a share topic matrix, which presents their mutual reinforcement support. Our proposed matrix co-factorization algorithm computes the score of each document sentence and user post and extracts the top ranked document sentences and comments (or tweets) as a summary. We apply the model to the task of summarization on three datasets in two languages, English and Vietnamese, of social context summarization and also on DUC 2004 (a standard corpus of the traditional summarization task). According to the experimental results, our model significantly outperforms the basic matrix factorization and achieves competitive ROUGE-scores with state-of-the-art methods.     

基于主题的SE-TextRank 情感摘要方法

文本情感摘要技术的目的是以简洁的形式准确表达文章的核心情感内容。为解决不同的文档结构及内容特征等问题对摘要结果的影响,提出了一种基于主题的SE-TextRank 情感摘要方法。通过LDA 模型自动获取收敛后的文本主题,利用余弦距离算法进行主题句子分组,使用传统多特征融合以及SE-TextRank 情感摘要算法对组内中心句抽取,最终获取目的摘要。实验表明,采用此方法能够更为高效的获取新闻文本摘要结果。     

陕西当代中文生物医学期刊文献若干分析

陕西省近三十年发表的生物医学文献的总数为101996篇,本文结合GDP因素对比十个省市进行了初步的对比分析。     

目前学术界宅基地使用权继承问题观点综述

目前我国法律对于宅基地使用权继承制度的规范存在严重缺位,在此情况下,学术界针对现实生活中在宅基地使用权继承问题上遇到的三种情况提出了不同的观点,并各自列举了其理由。本文将这些观点及各自列举的理由作了综述,以便于人们在此基础上作出进一步的研究,或参照这些观点和理由,通过立法为宅基地使用权的继承设置一套完整的调整制度。     

Cytocompatible cellulose nanofibers from invasive plant species Agave americana L. and Ricinus communis L.: a renewable green source of highly crystalline nanocellulose

In this study, the fibers of invasive species Agave americana L. and Ricinus communis L. were successfully used for the first time as new sources to produce cytocompatible and highly crystalline cellulose nanofibers. Cellulose nanofibers were obtained by two methods, based on either alkaline or acid hydrolysis. The morphology, chemical composition, and crystallinity of the obtained materials were characterized by scanning electron microscopy(SEM) together with energy-dispersive X-ray spectroscopy(EDX), dynamic light scattering(DLS), X-ray diffraction(XRD), and Fourier transform infrared(FTIR)spectroscopy. The crystallinity indexes(CIs) of the cellulose nanofibers extracted from A. americana and R. communis were very high(94.1% and 92.7%, respectively). Biological studies evaluating the cytotoxic effects of the prepared cellulose nanofibers on human embryonic kidney 293 T(HEK293 T) cells were also performed. The nanofibers obtained using the two different extraction methods were all shown to be cytocompatible in the concentration range assayed(i.e., 0-500 μg/mL). Our results showed that the nanocellulose extracted from A. americana and R. communis fibers has high potential as a new renewable green source of highly crystalline cellulose-based cytocompatible nanomaterials for biomedical applications.     

斯大林的列宁主义观综述——近十年来我国学术界的研究述评

在关于斯大林的研究中,斯大林的列宁主义观是一个热点,学术界在这方面已经进行了大量的研究。但是在系统性方面还有待于进一步深化。结合学术界的研究成果,本文旨在对斯大林的列宁主义观作进一步较系统地探讨,从而进一步从整体上理解和把握斯大林的列宁主义观。     

生物医学工程:一个发展迅速值得关注的交叉学科——生物力学、组织工程学、生物材料与人工器官

生物医学工程学（Biomedical Engineering，BME）是包含多种技术并相互交叉融合的一门科学。它综合了生物学、医学与工程学的理论和方法，研究生命体的构造、功能、状态和变化，研究新材料、新技术、新仪器设备，用于防病、治病、保护人民健康和提高医学水平。涉及科学领域广泛，除生物学、医学外，还有电子学、微电子学、现代计算机技术、化学、高分子化学、力学、近代物理学、光学、射线学、精密机械和近代高技术，并在不断发展扩大，是各国争相大力发展的高技术之一。本文主要从生物力学、组织工程学、生物材料与人工器官等方面进行探讨。     

生物医学工程类期刊开辟临床应用栏目的意义和实践——以《中华生物医学工程杂志》为例

【目的】探讨生物医学工程类期刊开辟临床应用栏目的意义,为媒体融合出版形式下期刊的栏目建设和竞争力的提高提供借鉴。【方法】以《中华生物医学工程杂志》为例,介绍其临床应用特色栏目“新技术与临床”设置的背景、特点、选题策划过程、现状和今后发展规划。【结果】《中华生物医学工程杂志》开辟“新技术与临床”栏目偏重临床的实践性报道,围绕栏目宗旨和选题计划、读者需求、培养年轻医师潜在作者群3个方面确定报道内容,体现了该刊为临床医生服务的办刊宗旨。【结论】生物医学工程类期刊开辟临床应用栏目可强化期刊的读者意识,突出期刊的导向功能,体现期刊的办刊特色,提高期刊竞争力。