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关键词： Anomaly detection   Deep learning   Decoding   Learning systems   Image edge detection   Informatics   Computer science   attributed network   hybrid-order   motif   autoencoder   graph attention network  

摘要： Anomaly detection on attributed networks has received an increasing amount of attention in recent years. Despite the success, most of the existing methods only focus on detecting the abnormal nodes while fail to detect the abnormal subgraphs. In this paper, we define a new problem of hybrid-order anomaly detection on attributed networks, which aims to detect both of the abnormal nodes and subgraphs. To this end, a new deep learning model called Hybrid-Order Graph Attention Network (HO-GAT) is developed, which is able to simultaneously detect the abnormal nodes and motif instances in an attributed network. In order to model the mutual influence between nodes and motif instances, the learning procedures of the node representation and the motif instance representation are integrated into a unified graph attention network with a novel hybrid-order self-attention mechanism. After learning the node representation and the motif instance representation, two decoders are respectively designed to reconstruct the attribute information of the nodes and motif instances, and the hybrid-order topological structure among nodes and motif instances. And finally, the reconstruction errors are utilized as the abnormal score of nodes and motif instances respectively. Extensive experiments conducted on real-world datasets have confirmed the effectiveness of the HO-GAT method.

关键词： 三脑理论   课程思政   认知   情感   行为  

摘要： 大学计算机基础课程是军队院校课程教学大纲规定的公共基础课中唯一一门计算机类课程,是培养军校学员计算思维和信息素养的重要课程。以“三脑理论”为理论基础,从认知、情感、行为三个方面阐述了在本课程中开展课程思政建设的思路、方法和路径。

关键词： 红掌   离体培养   愈伤组织   再生团块   快速繁殖  

摘要： 以红掌新品种“黑皇后”植株的嫩叶、叶柄和根段为外植体,对影响愈伤组织诱导、愈伤组织继代和不定芽分化、再生团块继代和不定芽分化、不定芽生根等因素进行研究,同时采用数学公式推算组培苗的年产量,以期为红掌适度规模化繁育和栽培提供参考依据。结果表明:愈伤组织诱导的最佳外植体是叶片,其次为叶柄,最后为根段,诱导率分别为70%、40%、35%;愈伤组织诱导的最佳培养基为1/2MS+6-BA0.5+2,4-D0.5;愈伤组织继代和不定芽分化的最佳培养基为MS+6-BA1.0+2,4-D0.2;再生团块继代和不定芽分化的最佳培养基为MS+6-BA1.0+NAA0.2;丛生芽生根的最佳培养基为1/2MS+NAA0.2;以芽、嫩茎和根段直接生芽的模式,1瓶原种年产苗量Y=mXn;以再生团块或愈伤组织生芽的模式,1瓶原种年产苗量Y=ac(1-Xn)/(1-X)。

关键词： temporal bucket signatures   citation copying   relay linking   preferential attachment   interdisciplinarity  

摘要： Interdisciplinarity has over the recent years have gained tremendous importance and has become one of the key ways of doing cutting edge research. In this paper we attempt to model the citation flow across three different fields-physics (PHY), mathematics (MA) and computer science (CS). For instance, is there a specific pattern in which these fields cite one another? We carry out experiments on a dataset comprising more than 1.2 million articles taken from these three fields. We quantify the citation interactions among these three fields through temporal bucket signatures. We present numerical models based on variants of the recently proposed relay-linking framework to explain the citation dynamics across the three disciplines. These models make a modest attempt to unfold the underlying principles of how citation links could have been formed across the three fields over time.

关键词： Ontology Learning   Ontology Engineering   Concept Hierarchies   Concept Mapping   Concept Maps   Artificial Intelligence   Philosophy   Natural Language Processing   Knowledge Representation   Knowledge Representation and Reasoning   Machine Learning   Natural Language Processing   NLP   Computer Science   Theoretical Computer Science   Epistemology   Metaphysics   Philosophy   Logic   Computing   Ontology   First Order Logic   Predicate Calculus  

摘要： With this work, we introduce a novel method for the unsupervised learning of conceptual hierarchies, or concept maps as they are sometimes called, which is aimed specifically for use with literary texts, as such distinguishing itself from the majority of research literature on the topic which is primarily focused on building ontologies from a vast array of different types of data sources, both structured and unstructured, to support various forms of AI, in particular, the Semantic Web as envisioned by Tim Berners-Lee. We first elaborate on mutually informing disciplines of philosophy and computer science, or more specifically the relationship between metaphysics, epistemology, ontology, computing and AI, followed by a technically in-depth discussion of DEBRA, our dependency tree based concept hierarchy constructor, which as its name alludes to, constructs a conceptual map in the form of a directed graph which illustrates the concepts, their respective relations, and the implied ontological structure of the concepts as encoded in the text, decoded with standard Python NLP libraries such as spaCy and NLTK. With this work we hope to both augment the Knowledge Representation literature with opportunities for intellectual advancement in AI with more intuitive, less analytical, and well-known forms of knowledge representation from the cognitive science community, as well as open up new areas of research between Computer Science and the Humanities with respect to the application of the latest in NLP tools and techniques upon literature of cultural significance, shedding light on existing methods of computation with respect to documents in semantic space that effectively allows for, at the very least, the comparison and evolution of texts through time, using vector space math.

关键词： 互动式健康教育   腹膜透析   容量管理行为   生活质量  

摘要： 目的:探讨互动式健康教育对腹膜透析患者容量管理行为和生活质量的影响。方法:采取方便抽样法选取2022年1月1日~12月31日在肾脏内科治疗的60例腹膜透析患者为研究对象,按照随机数字表法分为对照组和观察组各30例,对照组采用常规护理,观察组在常规护理基础上实施互动式健康教育;比较两组干预前后容量管理行为、生活质量[采用健康调查简表(SF-36)]、满意度。结果:干预后,观察组容量管理行为中饮食管理、指标和并发症监测评分及总分、SF-36评分均高于对照组(P<0.05);观察组满意度高于对照组(P<0.05)。结论:互动式健康教育能改善腹膜透析患者的容量管理行为,提高患者的生活质量,适合在腹膜透析患者容量管理中应用。

关键词： Computer science teachers   COVID-19   Digital competencies   Emergency remote teaching   Informatics education   Online education   Teachers  

摘要： This paper explored the attitudes and roles of computer science (CS) teachers in elementary and high schools in Croatia in the period from completely online to “normal” schooling. The research was conducted in two phases to gain insight into the adaption of online education in schools. The first part of the research was a quantitative study conducted during online education in 2019/2020 among 538 elementary and high school informatics teachers across Croatia. Data were collected from an online survey. The second part of the research was a qualitative study conducted in 2022, employing interviews for data collection. The interview questions were designed based on the survey results mentioned above. The results showed that CS teachers had a significant role in implementing online schools, acting as implementers of tools for online teaching and as helpdesk IT support to other teachers. Still, formal education nowadays is affected by online schooling, and some online practices are now adopted into regular teaching. Therefore, the findings can serve as a guideline for future education related to the digital competencies of teachers and students. © The Author(s) 2023.

关键词： 国际体育计算机科学研讨会   机器学习   计算机视觉   数据挖掘   模式识别   虚拟现实   建模与预测   运动表现分析  

摘要： 第14届国际体育计算机科学研讨会于2023年9月27日—30日在浙江大学教育学院成功举行,汇聚了来自德国、奥地利、西班牙、瑞士、土耳其、爱尔兰、韩国、日本、新加坡、澳大利亚和中国的35所大学和科研机构,近百名专家、学者和学生,共同探索体育科学与计算机科学等多学科的交叉研究。会议精选了67篇论文、5个主旨报告和2个工作坊,包括体育领域中的机器学习、计算机视觉、数据挖掘、模式识别、数据库、大数据、建模与预测、传感器,以及球类、田径、跆拳道、射箭等比赛数据和运动表现分析等主题。这些研究为体育科学领域带来了崭新的见解,展现了多学科、跨领域合作研究的重要性及发展潜力。