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关键词： 计算机类专业   学习能力   本科生  

摘要： 对本科生学习能力的培养塑造始终是高等教育的一项重要任务,计算机类专业通常具有对学习者实践能力要求高、知识更新换代快、相关课程知识点多而杂的特点。由于专业的特殊性决定了对计算机类专业学生的学习能力培塑方法,有其独特之处。分析了制约计算机类专业本科生学习能力提升的矛盾问题,针对矛盾问题分析了应对策略,并从学生学习状态的动态监测机制、优化课程教学设计、调整考核与评估机制三个维度提出了一套能力提升策略,为该专业本科生培养提供参考。

关键词： 互动达标理论   健康教育   妊娠期糖尿病   生活方式   血糖控制  

摘要： 目的:分析基于互动达标理论的健康教育在妊娠期糖尿病(GDM)患者中的的实施效果以及对血糖控制的应用效果。方法:选取邳州市中医院产科2023年1月至2023年12月收治的90例GDM患者,随机数字法纳入常规护理组、健康教育组各45例,常规护理组实施常规护理干预,健康教育组在常规护理组基础上实施基于互动达标理论的健康教育。比较两组患者干预前后的血糖水平(FPG、2hPG、HbA1c)、自我管理能力(糖尿病管理自我效能表C-DMSES)、心理状况(症状自评量表SCL-90评分)以及干预后的妊娠结局。结果:两组干预后的血糖水平各指标均低于本组干预前,P<0.05;健康教育组干预后的血糖水平各指标均低于常规护理组,P<0.05。两组干预后自我管理能力(C-DMSES)的各项评分均高于本组干预前,P<0.05;健康教育组干预后自我管理能力(C-DMSES)的各项评分均高于常规护理组,P<0.05。两组干预后的SCL-90总分低于本组干预前,P<0.05;健康教育组干预后的SCL-90总分低于常规护理组,P<0.05。健康教育组的不良妊娠结局发生率(8.89%)低于常规护理组(26.67%),P<0.05。结论:基于互动达标理论的健康教育在GDM患者中的实施效果较好,可有效控制患者血糖,增强自我管理能力,培养健康生活方式,改善心理状态及妊娠结局。

关键词： Software engineering   Software   Software development management   Organizations   Costs   Software measurement   Production facilities   Computer science   Standards organizations   Reviews   Data collection   evaluation & improvement   measurement   software empirics   software quality  

摘要： We were delighted to have the paper "A Methodology for Collecting Valid Software Engineering Data", by Victor Basili and David Weiss (1984) considered one of the most influential papers of IEEE Transaction of Software Engineering's first decade. The paper discusses data or information on software quality and what were the most effective software development techniques. It was published in November, 1984. It was written at a time when software development was just becoming widespread practice, but it was not common to use data or information on software quality in order to learn what were the most effective software development techniques under different conditions. To try to alleviate this problem, we suggested that when people (or organizations) developed software, they should try to measure the effectiveness of their development techniques. In particular, since software is typically long-living, change data should be collected so that methods and processes could be managed.

关键词： Drugs   Diseases   Electronic mail   Databases   Computer science   Bioinformatics   Textiles   Drug repositioning   bilinear attention network   graph convolutional network   layer attention mechanism  

摘要： Drug repositioning has emerged as a promising strategy for identifying new therapeutic applications for existing drugs. In this study, we present DRGBCN, a novel computational method that integrates heterogeneous information through a deep bilinear attention network to infer potential drugs for specific diseases. DRGBCN involves constructing a comprehensive drug-disease network by incorporating multiple similarity networks for drugs and diseases. Firstly, we introduce a layer attention mechanism to effectively learn the embeddings of graph convolutional layers from these networks. Subsequently, a bilinear attention network is constructed to capture pairwise local interactions between drugs and diseases. This combined approach enhances the accuracy and reliability of predictions. Finally, a multi-layer perceptron module is employed to evaluate potential drugs. Through extensive experiments on three publicly available datasets, DRGBCN demonstrates better performance over baseline methods in 10-fold cross-validation, achieving an average area under the receiver operating characteristic curve (AUROC) of 0.9399. Furthermore, case studies on bladder cancer and acute lymphoblastic leukemia confirm the practical application of DRGBCN in real-world drug repositioning scenarios. Importantly, our experimental results from the drug-disease network analysis reveal the successful clustering of similar drugs within the same community, providing valuable insights into drug-disease interactions. In conclusion, DRGBCN holds significant promise for uncovering new therapeutic applications of existing drugs, thereby contributing to the advancement of precision medicine.

关键词： Semantics   Visualization   Quality assessment   Circuits and systems   Accuracy   Transformers   Training   Sports   Computer science   Spatiotemporal phenomena   Action quality assessment (AQA)   self-supervised learning   temporal parsing   multimodal learning  

摘要： Action Quality Assessment (AQA) is a challenging task involving analyzing fine-grained technical subactions, aligning high-level visual-semantic representations, and exploring internal temporal structures that capture the overall meaning of given action sequences. To address these challenges, we propose a Visual-semantic Alignment Temporal Parsing Network (VATP-Net) to understand the high-level visual semantics of subaction sequences and internal temporal structures without explicit supervision for action quality assessment. The proposed approach designs a self-supervised temporal parsing module to generate subaction sequences from the given video by aligning the visual and semantic action features. It captures high-level semantics and the internal temporal dynamics of subaction sequences. Furthermore, a multimodal interaction module is proposed to capture the interaction between different modalities of action features, enabling a comprehensive assessment of fine-grained and scene-invariant action details. The proposed module captures the intricate relationships and encourages interactions between different modalities within an action sequence, enhancing the overall understanding of action assessment. We exhaustively evaluate our proposed approach on the MTL-AQA, Rhythmic Gymnastics (RG), FineFS, and Fis-V datasets. Extensive experimental results demonstrate the effectiveness and feasibility of our proposed approach, which outperforms state-of-the-art methods by a significant margin.

关键词： Intelligence   High Performance   Research Group   Research And Development   Science And Technology   South Korea   Information Technology   Digital Technologies   Entrepreneurial   System Design   Impact Of Factors   Electronic Devices   Peer Reviewed Journals   Ministry Of Education   Institute Of Technology   Electronic System   Computer Science   Internet Of Things  

摘要： I am happy and honored to have been reappointed as Editor in Chief (EiC) for the IEEE Transactions on VLSI Systems (TVLSI) for another two-year term. As I continue my efforts to improve the quality of the journal, I am grateful for the renewed trust placed in me by the three IEEE sponsoring societies (CASS, SSCS and CS) and by the VLSI community at large. Contrary to a feared slowdown due to increased difficulties with scaling, the field of Very Large Scale Integration (VLSI) has actually grown at an increasingly fast rate as it provides the hardware backbone for the insatiable AI applications which are taking over the world. The H100/200 GPUs, which are essential for AI training, are the largest “conventional” integrated circuits (IC) with 80 billion transistors, while the wafer-scale WSE2/3, which can provide significant improvements in AI inference, are absolute behemoths with 4 trillion transistors! Mr. Moore can be proud there in heaven for what our industry is able to deliver!

关键词： Stem-identity development   Social and emotional learning   Learning sciences   Pedagogy   Computational thinking   Educational equity  

摘要： Through qualitative inquiry of a 9th-grade computer science (CS) classroom, this paper examines how teachers' pedagogical approaches can help prioritize the social and emotional dimensions of student learning to foster STEM identity and development. Findings from an ethnographic study of the delivery of the Exploring Computer Science curriculum in a high school setting of majority of students of color, and low-income youth identify five high-leverage instructional strategies. These strategies include 1) teacher mindsets towards specific subject areas like computer science;2) creating conditions for affirming students culturally;3) intentionally prioritizing student autonomy for social and emotional development;4) co-constructing knowledge to increase student engagement;and 5) helping students create their own STEM identity by exposing them to STEM professionals of similar racial and cultural characteristics as students. Collectively, these practices offer critical windows into how educators can act as intermediaries in helping students see themselves in the CS field and STEM/CS career pathways. Findings from this study can inform strategies for teacher education and policy efforts seeking to close learning gaps for historically marginalized groups and to improve racial and gender diversity in opportunities for growing STEM fields.