论人际关系修辞的真诚宽容准则     

郑荣馨 《毕节学院学报》2011,29(3):5-11

真诚宽容是人际关系修辞的一个重要准则。通过从体现诚信、体现尊重、体现宽宏三个方面具体论述,论证了这一准则。  相似文献   

大学生网络交往动机与网络行为特点关系研究综述     

李晓东  崔丽娟 《安徽科技学院学报》2011,25(1):104-106

大学生已成为网络交往的主力军,网络深刻地影响着大学生的学习、生活及行为方式。本文试图通过对国内外有关大学生网络交往动机与网络行为特点及其关系的研究成果做一综述性的介绍,以期推动研究进展。  相似文献   

Behavior problems of children in foster care: Associations with foster mothers’ representations,commitment, and the quality of mother–child interaction     

《Child abuse & neglect》2015

This study investigated different environmental and contextual factors associated with maltreated children's adjustment in foster care. Participants included 83 children (52 boys), ages 1–7 years, and their foster caregivers. Quality of interaction with the foster caregiver was assessed from direct observation of a free-play situation; foster caregiver attachment state of mind and commitment toward the child were assessed using two interviews; disruptive behavior symptoms were reported by foster caregivers. Results showed that quality of interaction between foster caregivers and children were associated with behavior problems, such that higher-quality interactions were related to fewer externalizing and internalizing problems. Foster caregivers’ state of mind and commitment were interrelated but not directly associated with behavior problems of foster children. Type of placement moderated the association between foster caregiver commitment and foster child behavior problems. Whereas greater foster caregiver commitment was associated with higher levels of adjustment for children in foster families (kin and non-kin), this was not the case in foster-to-adopt families. Finally, the associations between foster child behavior problems and history of maltreatment and placement related-risk conditions fell below significance after considering child age and quality of interaction with the foster caregiver. Findings underscore the crucial contribution of the foster caregiver–child relationship to fostering child adjustment and, thereby, have important implications for clinical services offered to this population.  相似文献   

RDA的实体及关系解析     

李蓓  周宇葵 《新世纪图书馆》2014,(2):31-34

FRBR的实体-关系模型是RDA编制的结构基础,这种概念完全不同于AACR2的理念,同时它也是理解RDA的难点论文主要针对RDA中的实体、实体中的元素、实体之间的关系进行了分析,并利用图表进行详细的说明.结论是：RDA对文献描述的四个层次包括作品、内容表达、具体表现、单件,可以对书目信息进行深度揭示,四个层次之间也存在比较复杂的关系.  相似文献   

研究项目中课题组成员关系的差序格局探析——以图情文类国家社科基金项目为例     

朱成林  袁曦临 《新世纪图书馆》2014,(4):81-86

社会学家费孝通先生在研究中国乡村结构时提出了差序格局的概念,用以说明中国传统社会不同于西方社会“团体格局”的特点.差序格局的形成受到以下因素影响：血缘、地缘、经济水平、政治地位、知识文化水平.本研究以2005-2010年图情文类国家社科基金项目为样本,运用社会网络分析方法,分别从地缘、业缘和学缘三个方面探讨了研究项目课题组成员中反映出的关系和结构,探究并验证在课题研究中是否存在“差序结构”,并分析这种差序格局对学术研究的影响.  相似文献   

Characterization of chaotic multiscale features on the time series of melt index in industrial propylene polymerization system     

Ting Wang  Xinggao Liu  Zeyin Zhang 《Journal of The Franklin Institute》2014

The chaos characteristics of melt index have been first explored, and the Hilbert–Huang transform method and time delay embedding method are applied to multiscale dynamic analysis on the time series of the melt index (MI) in the propylene polymerization industry. The research results show that the embedding delay is 2, the embedding dimension is 5, the correlation dimension D₂ is 1.57, and the maximum Lyapunov exponent is 0.143 for the melt index series, which provide clear evidence of chaotic multiscale features in the propylene polymerization process. Three intrinsic mode functions (IMFs) are decomposed from the melt index time series; the presence of non-integer fractal correlation dimension and positive finite maximum Lyapunov exponent are found in some IMF components. The PP melt index series are divided into two chaotic signals, a determined signal and a random signal respectively, and its complexity is therefore reduced. Furthermore, the coupling of subscale structures of the propylene polymerization is explored with the dimension of interaction dynamics and a robust algorithm for detecting interdependence. It is found that IMF(2) is the main driver in the coupling system of IMF(1)and IMF(2). All these provide a guideline for studying propylene polymerization process with chaotic multiscale theory and may offer more candidate tools to model and control propylene polymerization system in the future.  相似文献   

网络嵌入对技术创新绩效的影响:学习能力的视角          下载免费PDF全文

谢洪明  张颖  程聪  陈盈 《科研管理》2014,35(12):1-8

不同网络嵌入方式对企业创新绩效的影响是存在显著差异的。构建了网络嵌入、学习能力和技术创新绩效之间的理论模型,通过运用结构方程模型对广东省高新技术与民营科技型企业为样本的问卷调查数据进行实证分析。研究结果表明:(1)网络结构嵌入对技术创新绩效没有直接的显著影响,也无法通过学习能力的中介对其产生间接的影响作用;(2)网络关系嵌入对技术创新绩效不仅有直接显著的正向影响,而且还能通过学习能力的部分中介作用对技术创新绩效起到显著的正向影响;(3)在小规模企业中,网络密度对于技术创新绩效的作用并不显著。研究结论进一步深化了技术创新理论,对企业技术创新的提升有一定指导意义。  相似文献   

大学生体测结果关注与锻炼坚持性关系的研究     

王佳卉  王玉秀 《浙江体育科学》2022,(1)

探索大学生体测结果关注与锻炼坚持性的现状及其相互关系。通过文献法与访谈法对体测结果关注的概念及维度进行界定,自编大学生《体测结果关注问卷》,并修订大学生《锻炼坚持性问卷》,运用这两个问卷对1219名在校大学生进行调查。通过方差分析、相关分析和回归分析,发现大学生的体测结果关注与锻炼坚持性在性别、年级方面存在显著差异,体测结果关注与锻炼坚持性显著相关,体测结果关注可以预测锻炼坚持性。其中,体测自较关注是预测锻炼坚持性及努力投入与情感体验因子的主导因素,《标准》评价关注最能预测锻炼行为。研究发现了体测自较关注对锻炼坚持性的重要意义,建议在实践教学中不仅要通过结果性评价满足学生对《标准》评价的关注,更要重视通过体质增值评价提高学生对体测自较的关注,进而有效促进学生的锻炼坚持性。研究为大学生体质健康促进的教学干预提供了理论依据。  相似文献   

Identification of Chinese dark jargons in Telegram underground markets using context-oriented and linguistic features     

《Information processing & management》2022,59(5):103033

When cybercriminals communicate with their customers in underground markets, they tend to use secure and customizable instant messaging (IM) software, i.e. Telegram. It is a popular IM software with over 700 million monthly active users (MAU) up to June 2022. In recent years, more and more dark jargons (i.e. an innocent-looking replacement of sensitive terms) appear frequently on Telegram. Therefore, jargons identification is one of the most significant research perspectives to track online underground markets and cybercrimes. This paper proposes a novel Chinese Jargons Identification Framework (CJI-Framework) to identify dark jargons. Firstly, we collect chat history from Telegram groups that are related to the underground market and construct the corpus TUMCC (Telegram Underground Market Chinese Corpus), which is the first Chinese corpus in jargons identification research field. Secondly, we extract seven brand-new features which can be classified into three categories: Vectors-based Features (VF), Lexical analysis-based Features (LF), and Dictionary analysis-based Features (DF), to identify Chinese dark jargons from commonly-used words. Based on these features, we then run a statistical outlier detection to decide whether a word is a jargon. Furthermore, we employ a word vector projection method and a transfer learning method to improve the effect of the framework. Experimental results show that CJI-Framework achieves a remarkable performance with an F1-score of 89.66%. After adaptation for English, it performs better than state-of-the-art English jargons identification method as well. Our built corpus and code have been publicly released to facilitate the reproduction and extension of our work.  相似文献   

Demand forecasting model using hotel clustering findings for hospitality industry     

《Information processing & management》2022,59(1):102816

Tourism has become a growing industry day by day with the developing economic conditions and the increasing communication and social interaction ability of the people. Forecasting tourism demand is not only important for tourism operators to maximize their revenues but also important for the formation of economic plans of the countries on a global scale. Based on the predictions countries are able to regulate the sectors that benefit economically from tourism locally. Therefore, it is crucial to accurately predict the demand in many weeks advance. In this study, we propose a new demand forecasting model for the hospitality industry that forecasts weekly hotel demand four weeks in advance through Attention-Long Short Term Memory (Attention-LSTM). Unlike most of the existing methods, the proposed method utilizes the time series demand data together with additional features obtained from K-Means Clustering findings such as Top 10 Hotel Features or Hotel Embeddings obtained using Neural Networks (NN). While creating our model, the clustering part was influenced by the fact that travelers choose their accommodation according to certain criteria, and the hotels meeting similar criteria may have similar demands. Therefore, before the clustering part, we also applied methods that would enable us to represent the features of the hotels more properly and we observed that 10-D Embedded Hotel Data representation with NN Embeddings came to the fore. In order to observe the performance of the proposed hotel demand forecasting model we used a real-world dataset provided by a tourism agency in Turkey and the results show that the proposed model achieves less mean absolute error and mean absolute percentage error (at worst % 3 and at most % 29 improvements) compared to the currently used machine learning and deep learning models.  相似文献