智能化实验室教学管理模式

结合作者多年的实验室教学管理经验,对传统实验室教学管理模式中存在的一些问题进行了探讨,提出一种新的智能化实验室教学管理模式。该模式运用先进的计算机智能系统,便于实现实验室的开放教学,网络化,智能化,同时提高实验室的安全性保障。     

国防科技行业查新机构竞争能力与发展策略

本文首先分析了国防科技行业查新机构的内部优势和劣势、面临的机会与威胁,然后论证了国防科技行业查新机构应该从产品、价格、位置、促销以及人员等5个层面开展科技查新业务,走出具有自身特色的科技查新发展道路.     

上肢康复机器人主动康复训练控制策略

近年来,脑卒中和交通事故造成上肢损伤的人数逐年上升,医疗领域对康复器械的需求越来越大。为满足实际需求,开发以气动人工肌肉为驱动器的4自由度（肩关节外收/内展（被动）、前驱/后伸、肘关节屈曲、腕关节屈曲）可穿戴上肢康复机器人。首先设计上肢康复机器人的结构,并采用气动人工肌肉作为肘关节与腕关节的驱动器。然后针对该上肢康复机器人,研究主动康复训练控制策略,设计两种控制策略。通过穿戴实验验证控制策略的有效性和实际应用价值。     

《文心雕龙》的文学文饰思想--对《物色》五篇的文化再解读

刘勰文论体系中,《指瑕》五篇论文采的文化本质,即文学文明思想,《物色》五篇论文采的生成途径,即文学文饰思想,两者构成一个五体五用的理论组合。刘勰的文学文饰思想涉及文学创作中世界表象、主体才能、文体鉴赏、主体道德、主体智性等重要相关因素,是先民原逻辑与原审美文明观念合乎逻辑的发展。     

人工智能生成物不具有作品属性的分析

人工智能生成物是否属于著作权法意义上的作品,应根据生成物的产生过程判断,而不仅仅是生成物外在本身。现有人工智能只能按照人类预先设定好的特定算法、程序或规则生成内容,生成物是执行既定流程的产物,不符合著作权法中作品独创性要求,不宜认定为作品。即使不考虑生成物的创作主体,认为其具有外在作品的一般属性而享有著作权,同样会带来权利归属的难题。     

Emotional intelligence and academic attainment of British secondary school children: a cross-sectional survey

Trait emotional intelligence (trait EI) covers a wide range of self-perceived skills and personality dispositions such as motivation, confidence, optimism, peer relations and coping with stress. In the last few years, there has been a growing awareness that social and emotional factors play an important part in students’ academic success and it has been claimed that those with high scores on a trait EI measure perform better. This research investigated whether scores on a questionnaire measure of trait EI were related to school performance in a sample of British pupils. Results showed that high performing students had higher trait EI scores than low performing students and that some aspects of trait EI (motivation and low impulsivity) as well as total trait EI were significant predictors of academic achievement after controlling for prior attainment at school. Therefore, initiatives to develop the emotional and social abilities of schoolchildren might be worthwhile and more effective than concentrating solely on teaching and curriculum activities.     

基于形态学的微目标的图像分割

提出了一种适于高分辨率可见微目标图像的分割算法,首先通过形态学运算强化微目标区域,利用阈值化分割并提取这些感兴趣区域;然后运用小波多尺度算子检测这些区域的边缘;最后再次采用形态学运算以获取目标区域边缘.仿真结果表明该方法能有效地将图像中的具有特定结构的微目标区域分割开来.     

论人工智能融入高校思想政治教育的深层逻辑

对于高校思想政治教育而言,人工智能既是实践背景,也是技术工具,更是发展契机。从现实来看,人工智能的深度融入与标准化应用能够为有效识别教育对象的思想动态、提升教育内容的精准程度、拓展思想政治教育的空间维度注入新的技术动能,且已经成为高校思想政治教育创新发展的必然趋势。但在价值前提、技术限度和具体操作层面也存在隐私保护与意识形态安全隐患、教育主体性迷失、教育关系数据化、专门人才匮乏等诸多潜在风险及现实难题。因此,必须辩证看待人工智能的技术动能与潜在风险,高扬教育价值理性,加强技术监管,锻造智慧型育人队伍,合理界定人工智能的融入边界和适用范围,将人之主体能动性与机器之智能优势强强结合,积极探寻教育与技术的共存共荣之路,自觉建构高校思想政治教育的智能形态。     

Computer systems: Moral entities but not moral agents

After discussing the distinction between artifacts and natural entities, and the distinction between artifacts and technology, the conditions of the traditional account of moral agency are identified. While computer system behavior meets four of the five conditions, it does not and cannot meet a key condition. Computer systems do not have mental states, and even if they could be construed as having mental states, they do not have intendings to act, which arise from an agent’s freedom. On the other hand, computer systems have intentionality, and because of this, they should not be dismissed from the realm of morality in the same way that natural objects are dismissed. Natural objects behave from necessity; computer systems and other artifacts behave from necessity after they are created and deployed, but, unlike natural objects, they are intentionally created and deployed. Failure to recognize the intentionality of computer systems and their connection to human intentionality and action hides the moral character of computer systems. Computer systems are components in human moral action. When humans act with artifacts, their actions are constituted by the intentionality and efficacy of the artifact which, in turn, has been constituted by the intentionality and efficacy of the artifact designer. All three components – artifact designer, artifact, and artifact user – are at work when there is an action and all three should be the focus of moral evaluation.     

浅论企业竞争情报工作

本文就企业竞争情报工作的重要性、定义、特殊性及其如何开展进行了简要的探讨，结合企业竞争情报工作的不同开发环节，为其在实践中的开展提供了可行的方法与方向。