台湾中卫体系的发展经验及对广东省专业镇转型升级的启示

简要介绍台湾中卫体系的发展过程、概念与分类等,并在总结台湾中卫体系推广经验的基础上,提出在广东省专业镇推行中卫体系的一系列对策建议,为增加广东省专业镇产业附加值,进一步推进专业镇转型升级提供参考意见。     

Comparison of heart rate monitoring with indirect calorimetry for energy expenditure evaluation

PurposeThe purpose of this study was to compare established methods with newly-developed methods for estimating the total energy expenditure (TEE).MethodsThe study subjects comprised 46 individuals, including 16 middle-aged men (mean age 51.4 years), 14 middle-aged women (mean age 49.9 years) and 16 young women (mean age 19.1 years). The TEE was estimated from 24-h heart rate (HR) data using newly-developed software (MoveSense HRAnalyzer 2011a, RC1, Suunto Oy, Vantaa, Finland), and was compared against the TEE determined using doubly labeled water (DLW). Agreement between the two methods was analyzed using Bland and Altman plots.ResultsThe HR method yielded similar TEE values as the DLW method at the group level, with an average of 8.6 kcal/day in the difference in the mean, but with large individual variations. Forty-four (96%) out of 46 subjects fell within ±2SD of the mean difference in TEE comparisons, and there was no tendency towards under- or over-estimation.ConclusionOur results indicate that the current software using HR analysis for the estimation of daily TEE needs further development for use with free-living individuals.     

农民工劳动合同中存在的问题及原因分析

劳动合同是劳动者与用人单位确立劳动关系、明确双方权利和义务的协议。劳动合同对保护劳动者的合法权益非常重要,农民工由于各种原因在劳动关系中处于明显的弱势地位,尤其需要运用劳动合同来保护自身的合法权益。     

利用Blackboard网络教学平台提升信息检索公选课品质

Blackboard教学管理平台集课程组织、资源建设、评价及交流等功能于一体,已经广泛应用于国内外各类教育机构的教学活动中。实践证明,充分利用Bb这个成熟完善的教学平台,在完善教学体系、加强交流互动、进行教学评估以及开展远程教学等方面,对提升信息检索课的品质都非常有帮助。     

黄酒文化韵醉天下

绍兴酒的世博情缘 在韩国丽水市举办的2012年世博会上,一款来自中国的古越龙山绍兴（花雕）酒吸引无数游客驻足。     

对第27～29届奥运会体能主导类运动项目金牌分布特征的研究

本文主要运用文献资料法,对第27～29届奥运会体能主导类项目金牌的地域分布特征、性别特征和发展趋势进行统计分析与研究,并与中国在此类项目中金牌获得情况进行了分析比较,发现欧洲的发展较为均衡,亚洲在举重项目上处于领先地位,大洋洲的优势项目是游泳;从金牌的性别特征来说,世界总的趋势是男强女弱,但中国例外。随着中国人体质的逐步改善,建议在保持适合我国人群特点的传统优势项目和潜优势项目的基础上,大力发展诸如田径、游泳等体能类大项,争取我国在奥运会上取得更多奖牌,并使我国成为真正意义上的体育强国。     

从朝省诗看姚合的盛唐情结

学界一般认为姚合的诗风比较浅近平淡,姚合本人的心态也比较安闲和消沉。不过,姚合还有较为积极的一面,并且还有浓重的盛唐情结。从姚合的朝省诗中,可以寻找到他的这种盛唐情结。     

移动网络和社交网站对大学生思想行为模式的影响——基于中国石油大学（北京）的调查

对中国石油大学（北京）276名大学生的问卷调查显示,移动网络式的社交使得大学生有一种更加强烈的被需要和被尊重的心理满足。但网络的虚拟性普遍消解了人际信任,弱化了道德的约束力。部分学生采用匿名或化名的方式参与信息传播,反而会加大其孤独、苦闷、焦虑和压抑等心理问题的发生。     

师生交流中教师挫折性语言对学生的影响

教师挫折性语言的形成和影响呈复杂性,一定程度上存在不可逆性,其影响深远。挫折性语言从心理学角度上说,是一种精神虐待,不是通过暴力行为解决问题,而是通过非暴力手段,对他人进行精神上、心理上的伤害和侵犯。师生交流中使用挫折性语言会严重影响教师自身的教学效能和学生的正常学习,给师生精神与心理带来后期伤害,应采取切实有效的措施减少或避免教师使用挫折性语言,促进师生健康和谐发展。     

Using semantic similarity to reduce wrong labels in distant supervision for relation extraction

Distant supervision (DS) has the advantage of automatically generating large amounts of labelled training data and has been widely used for relation extraction. However, there are usually many wrong labels in the automatically labelled data in distant supervision (Riedel, Yao, & McCallum, 2010). This paper presents a novel method to reduce the wrong labels. The proposed method uses the semantic Jaccard with word embedding to measure the semantic similarity between the relation phrase in the knowledge base and the dependency phrases between two entities in a sentence to filter the wrong labels. In the process of reducing wrong labels, the semantic Jaccard algorithm selects a core dependency phrase to represent the candidate relation in a sentence, which can capture features for relation classification and avoid the negative impact from irrelevant term sequences that previous neural network models of relation extraction often suffer. In the process of relation classification, the core dependency phrases are also used as the input of a convolutional neural network (CNN) for relation classification. The experimental results show that compared with the methods using original DS data, the methods using filtered DS data performed much better in relation extraction. It indicates that the semantic similarity based method is effective in reducing wrong labels. The relation extraction performance of the CNN model using the core dependency phrases as input is the best of all, which indicates that using the core dependency phrases as input of CNN is enough to capture the features for relation classification and could avoid negative impact from irrelevant terms.