Are Hearing Voices Networks Compatible with Cognitive Behavioural Therapy for Psychosis?

The most extensively evaluated intervention for auditory hallucinations is Cognitive Behavioural Therapy for Psychosis (CBTp), which is usually delivered in statutory settings by experienced clinicians. In contrast, peer support networks, such as the Hearing Voices Network (HVN), operate informally using peers to normalise and manage voices. This article compares these two approaches to identify points of synergy and difference. Its analysis suggests the two approaches share many features, but also deviate in important ways that could compensate for each other. Instead of competing with each other as might first be thought, they may actually be complementary. Further, HVN may align comfortably with the values and principles of social work. Social workers seeking to engage with voice hearers may be advised to study the underlying principles of each approach to guide the way in which they can capitalise on intervention opportunities to better assist voice hearers.     

Beyond interviewer effects in the standardized measurement of ego-centric networks

The effects which interviewers exert on the collection of ego-centric networks have recently come into the focus of methodological considerations. Studies consistently show that the size of networks varies depending on the interviewer. We would like to expand on this research strand by pointing to different aspects which have so far gone unremarked in the discussion. First, size is mainly analysed as a network measure which is influenced during data collection, while other common measures such as network density or composition have not received sufficient consideration. Second, large-scale surveys using face-to-face interviews usually allocate interviewers to a single sampling point. Differences between sampling points (locality effects) are attributed to interviewer effects. Hence, we disentangle the effects of the locality and interviewer. Third, the discussion on interviewer effects often follows an “actor-oriented” consideration of how data collection situations are structured by interviewers. Expanding this approach from a relational perspective, we consider the relationship between the interviewers and respondents and whether this relationship influences the collection of network data. To test our hypotheses about the influence of interviewers, the locality and the interviewer-respondent relationship on different network measures, we use data from the 2010 German General Social Survey (n = 2827 respondents, n = 220 interviewers). The multilevel analyses show that the relationship between the interviewer and the respondent is not very relevant. Furthermore, the analyses show that interviewers have an influence on the network size but not on measures of their composition. However, evidence on the prevalence of locality or interviewer effects is mixed. Finally, homophilous interviewer-respondent relationships have very little effect on network characteristics. We find evidence of training and fatigue effects on network size. However, much of the variation in network size caused by the interviewer still remains unexplained. We draw conclusions on how to organize interview situations in surveys.     

Investor commitment to serial entrepreneurs: A multilayer network analysis

Social networks are complex systems composed of interdependent organizations and people with diverse network structures. Understanding network dynamics, such as exchange commitment, requires a methodological toolkit that does not assume away complexity. In this study, we extend a technique for analyzing longitudinal, multilayer network data called network alignment. We introduce a novel metric – intersect proportions – for analyzing similarity between divergent graphs. We demonstrate the application of network alignment and intersect proportions to the context of investor commitment to startups and entrepreneurs. Using this technique, we are able to disentangle exchange commitment across complex networks.     

层级制:存续抑或终结

层级制是人类管理史上一种高效率的组织形式,但由于其包含着组织利益与个体利益、平等与等级、自由与依赖、稳定结构与环境变化等内在理念的冲突,以及现实中独断的领导方式,信息沟通不畅通等痼疾,将会为一种民主、平等、自我管理的网络型的理想组织体系所替代,然而,这种替代性方案必须在一定情景之下才能实现。纵观我国管理界,层级组织仍然是主要模式,如何推进我国组织体制的变革,始终是一个棘手的问题。通过对层级制组织的分析,希望为我国组织体制的变革提供理论支撑。     

论我国网络文学创作特点

网络文学在我国近年来蓬勃兴起并呈现出强劲的发展势头。作为一种新的文学形态,网络文学在创作上有着与传统纸质媒介文学不同的特点。本文从以下几方面具体论述其特点:创作理念上极度追求娱乐消遣和个人情感的宣泄.创作过程上努力追求交互性、高效率和自由化,创作内容上主要表现网民生活和抒写个人情愫,创作形式上注重文本的超级链接和多媒体技术化,创作语言上大量采用简约、灵活而又独特的网络语言符号,创作主体构成上呈现非职业化、年轻化、匿名化。网络文学创作现象和特点值得文艺理论界关注和深入研究。     

网络多模态环境下英语听说教学策略创新研究

网络多模态环境辅助英语教学是当前大学英语听说教学的新模式。新模式下的视听说教学不仅有其语言学及心理学基础,而且也呈现出新的特征。教学环境及模式的变化必然要求教学手段及策略的革新。根据问卷调查结果设计了课前培训、课堂导学及课后自学的教学策略并辅以多元评价机制,以期提高听说教学的效果。     

浅谈机房网络故障维护

网络机房是现代实验教学中必不可少的教学条件,维护好网络,才能保证实验教学的顺利进行。本文针对机房常见的网络故障,结合笔者工作环境,通过实践总结出几种常易出现的问题及解决方法。     

证券市场并购目标的财务特征分析和预测研究

应用自组织映射神经网络（SOM）和Hopfield神经网络模型对上市公司并购目标公司进行了实证研究。SOM网络的聚类分析表明目标公司可分为6个类别,各类别之间差异较大,目标公司明显区别于非目标企业,在总体上具有盈利能力低、经营能力差、偿债能力较强的特点。Hopfield网络模型的预测结果显示,目标企业的平均预测准确率为80．69％,非目标企业的预测准确率为61。33％,由于并购交易发生受多种因素影响,财务指标与其它因素相结合方能提高模型预测的效果。     

辽代籍没法考述

籍没法是辽代法律中的一项重要制度,在司法实践中占有重要地位。它的适用范围虽然较广,但主要则是谋反、谋叛、谋害重臣等所谓“反逆”之罪。籍没对象不但包括家产奴婢,也包括家属亲属。被籍没者多成为帝王、群臣、将校的私人奴婢,其中斡鲁朵及皇室近侍杂役使用的籍没奴隶最多。为加强管理,籍没奴隶中也设官分职,其管理机构为著帐郎君院和著帐户司。辽代籍没法的上述内容,均表现出了契丹民族所建王朝的民族特色。     

加入WTO后会计师事务所的发展格局及对策

我国加入WTO后,会给我国会计师事务所带来新的发展机遇,也将面临新的挑战.未来会计师事务所的发展格局为1.国际会计公司大批涌入,抢占大部分会计市场;2.国内大型会计师事务所初步形成,为大企业提供全方位服务;3.小型会计师事务所大量存在,为小企业提供会计代理、税务代理等服务.对此局面,行业、政府和理论界都应采取正确的对策.