Reasons for Student Engagement in Extra-Class Communication

This study extends instructional communication research on extra-class communication (ECC) by presenting an integrative analysis comparing the explanatory utility of student- and instructor-oriented reasons for student engagement in frequent ECC. Results from 495 college students suggested that student-oriented reasons, specifically the relational and functional student motives, were the only significant, positive predictors of students’ perceptions of frequent ECC engagement. Other student motives (excuse making, participation, sycophancy) and perceptions of instructor approachability did not significantly predict perceived frequency of ECC engagement.     

It’s More Than Self-Presentation: MUM Effects Can Reflect Private Discomfort and Concern for the Recipient

Is the reluctance to share bad news (i.e., the MUM effect) motivated more by a public display or private concern, and does it benefit mainly the messenger or the recipient? An experiment (N = 309) that crossed good/bad news with three communication channels (face-to-face, text messaging, e-mail) revealed that messenger reluctance was greatest under conditions of bad news and did not vary based on the channel through which the recipient contacted the messenger. In contrast with earlier work, this MUM effect was more consistent with a private fear of distressing the recipient. Theoretical implications and limitations are discussed.     

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.     

基于专利数据的技术融合研究综述

[目的/意义]基于专利数据开展技术融合研究是技术融合研究的主要方式和热点方向,面向为技术融合后续研究工作开展提供参考和启发的目标,对国内外基于专利数据的技术融合研究现状进行较为全面的综述.[方法/过程]将已有研究按研究内容划分为技术融合测度及预测方法研究、特定领域/多领域间/全领域的技术融合态势测度及趋势预测、技术融合...     

基于显著图融合的高分四号卫星光学遥感图像多运动舰船检测方法

高分四号(GF-4)卫星是目前世界上分辨率最高的静止轨道光学遥感卫星,它具有高时间分辨率、高空间分辨率和大成像幅宽等优点,可对指定区域进行连续观测.提出一种适用于GF-4卫星光学遥感图像的多运动舰船检测方法.首先,对遥感图像进行中值滤波去噪和非线性灰度拉伸;然后,通过谱残差法提取显著图;最后,使用基于加权Dempste...     

理学人格对宋代山水画审美理想的影响

宋代理学家们所倡导的理想人格不仅仅是社会伦理的内涵,它包含着宋人对人生形而上的思考。虽然山水画学中的“理”和理学的“理”含义不完全相同,但它无疑是理学这个时代强音中的一个音符。画家笔下的层峦叠嶂、烟柳渔浦、寒林远水表达的是创作主体对世界与人生的思考,以有形之象呈现内在之理,画家在“理趣”的玩味中得到性情的陶染和灵魂的提升。宋代山水精、妙、神、逸诸品众多当与其兼备理、气、趣有着直接关系。而理、气、趣又来自创作主体所受到的理学人格的薰陶。宋代山水画取得的辉煌成就,不能无视宋代理学的积极影响。