Redefinition,Differentiation, and the Farm Animal Welfare Debate

Animal welfare advocates have increased publics' scrutiny of the way animals are handled by everyone from pet owners to circuses to farmers. The case of farmer Gary Conklin illustrates a popular recent tactic of activists to secretly film working farms and then release videos that purport to show abuse. This essay uses the concepts of legitimacy and image restoration to examine how Conklin, with a small farming operation in Ohio, responded to allegations spread by social media. Two important principles emerged: first, an effective differentiation strategy for reducing offensiveness is “redefining the act,” a combination of image repair tactics where an undisputed fact is redefined and transformed with support from third-party affirmations. Second, even small organizations like this dairy cattle business face the same challenges and opportunities as larger organizational rhetors. The essay concludes with applications both for agriculture and for crisis communication scholars, asserting that agricultural enterprises will continue to face struggles over meaning that will require sophisticated methods of issue and crisis management.     

Retrieving and classifying instances of source code plagiarism

Automatic detection of source code plagiarism is an important research field for both the commercial software industry and within the research community. Existing methods of plagiarism detection primarily involve exhaustive pairwise document comparison, which does not scale well for large software collections. To achieve scalability, we approach the problem from an information retrieval (IR) perspective. We retrieve a ranked list of candidate documents in response to a pseudo-query representation constructed from each source code document in the collection. The challenge in source code document retrieval is that the standard bag-of-words (BoW) representation model for such documents is likely to result in many false positives being retrieved, because of the use of identical programming language specific constructs and keywords. To address this problem, we make use of an abstract syntax tree (AST) representation of the source code documents. While the IR approach is efficient, it is essentially unsupervised in nature. To further improve its effectiveness, we apply a supervised classifier (pre-trained with features extracted from sample plagiarized source code pairs) on the top ranked retrieved documents. We report experiments on the SOCO-2014 dataset comprising 12K Java source files with almost 1M lines of code. Our experiments confirm that the AST based approach produces significantly better retrieval effectiveness than a standard BoW representation, i.e., the AST based approach is able to identify a higher number of plagiarized source code documents at top ranks in response to a query source code document. The supervised classifier, trained on features extracted from sample plagiarized source code pairs, is shown to effectively filter and thus further improve the ranked list of retrieved candidate plagiarized documents.     

Watching MOOCs together: investigating co-located MOOC study groups

Research suggests that massive open online course (MOOC) students prefer to study in groups, and that social facilitation within the study groups may render the learning of difficult concepts a pleasing experience. We report on a longitudinal study that investigates how co-located study groups watch and study MOOC videos together. The study was conducted with on-campus flipped classroom students. Our subjects reported an overall high satisfaction with the study group style. The research reveals that students like to stay synchronized in the group while watching MOOC videos. However, they have to find a balance between synchronization, video interaction, and the amount of conversation. Watching MOOCs on a shared display addresses the need of synchronicity, and the distribution of control can increase the video interactivities.     

信息媒体数字视频图书馆——开创多媒体数字图书馆先河

信息媒体数字视频图书馆（TheINFORMEDIADigitalVideoLibrary,简称IDVL）项目是美国数字图书馆创始计划（DigitalLibrariesInitiative,简~,DLI）最初的六个项目之一,由卡内基·梅隆大学于1994年创建。该项目一直在深入地开发数字视频及其相关技术和工具,致力于建立一个庞大的在线数字视频图书馆,为用户提供多媒体信息服务。文章对该数字图书馆的项目概况、资源组织、技术特征和服务特点等进行了综合介绍和评价。     

Ethical values and social care robots for older people: an international qualitative study

Values such as respect for autonomy, safety, enablement, independence, privacy and social connectedness should be reflected in the design of social robots. The same values should affect the process by which robots are introduced into the homes of older people to support independent living. These values may, however, be in tension. We explored what potential users thought about these values, and how the tensions between them could be resolved. With the help of partners in the ACCOMPANY project, 21 focus groups (123 participants) were convened in France, the Netherlands and the UK. These groups consisted of: (i) older people, (ii) informal carers and (iii) formal carers of older people. The participants were asked to discuss scenarios in which there is a conflict between older people and others over how a robot should be used, these conflicts reflecting tensions between values. Participants favoured compromise, persuasion and negotiation as a means of reaching agreement. Roles and related role-norms for the robot were thought relevant to resolving tensions, as were hypothetical agreements between users and robot-providers before the robot is introduced into the home. Participants’ understanding of each of the values—autonomy, safety, enablement, independence, privacy and social connectedness—is reported. Participants tended to agree that autonomy often has priority over the other values, with the exception in certain cases of safety. The second part of the paper discusses how the values could be incorporated into the design of social robots and operationalised in line with the views expressed by the participants.     

论科技编辑的前沿性选择

论述了科学前沿的重要意义，概述了当代科学前沿的主要问题，指出科技编辑只有立足科学前沿，才能作出高水平的选择。     

Student,home, and school socio-demographic factors: links to school,home, and community arts participation

This study explored the role of student (e.g., age, language background, gender), home (e.g., parent/caregiver education), and school (e.g., school type, size) socio-demographic factors in students’ school (e.g., in-school arts tuition, arts engagement), home (e.g., parent/caregiver–child arts interaction), and community (e.g., arts attendance, arts tuition) arts participation. The sample comprised 1172 elementary and secondary school students from 15 schools. Findings revealed that student and home socio-demographic factors were the most salient in predicting arts participation across school, home, and community contexts. Age, gender, and prior achievement were the key student socio-demographic factors, while parent/caregiver education and occupation were also associated with students’ arts participation. Implications for practice and intervention pertinent to young people’s arts participation are discussed.     

运用专利引证开展技术热点监测的实证研究

分析目前利用专利文献进行技术热点监测的两种方法的不足,介绍一种基于专利引证的技术热点监测方法,包括该方法的理论依据、应用进展、详细设计流程,并利用DVD激光头技术进行实证研究,指出基于专利引证数据的热点监测方法更加科学、有效。