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摘要： This workshop addresses the critical need for empathy development in computer science education, emphasizing the importance of understanding user needs, effective communication, collaboration, and inclusive design [9]. As 41 states across the United States have adopted accessibility policies, affecting 82% of the nation, the pursuit of inclusivity goes beyond mere compliance with regulations. However, despite the significant presence of disabilities, computer science students often remain minimally exposed to the challenges of developing technology through the lens of individuals with disabilities [5]. This deficiency highlights the critical importance of embedding empathy and user-centered perspectives into their educational framework. To address this deficiency, the workshop provides participants with hands-on experience through in-person accessibility interventions, showcasing the impact of Human-Empathy Accessibility Learning (HEAL) on undergraduate computing students. Supported by foundational research, these in-person interventions are shown to enhance empathy, understanding of technological barriers faced by individuals with disabilities, and foster a wide range of skills including technical proficiency, soft skills, and empathy-related abilities crucial for career progression [2]. The workshop is structured as an immersive exploration of three distinct accessibility interventions, coupled with discussions on the application of validated scales for evaluating the interventions' impacts. A fundamental goal is for attendees to be capable of conducting these interventions in their classrooms, thus extending empathy among computing students in collegiate settings and equipping future computing professionals with the empathy, understanding, and inclusivity needed to navigate the challenges of the modern workplace [2, 5, 9].

摘要： This paper explores the application of Vygotsky's educational theories within the teaching of applied linear algebra for computer science students. The key point of this pedagogical study is a case study on principal component analysis (PCA), illustrated through noisy image compression, which serves as a representative example of the comprehensive teaching methodology applied throughout the course. This case study highlights the integration of key linear algebra concepts---eigenvectors, eigenvalues, covariance matrices, dot products, and change of basis matrices---demonstrating their application in a tangible real-world scenario. Employing MATLAB as a mediational tool, the teaching approach is scaffolded in accordance with Vygotsky's theory of learning, which progressively builds upon students' existing knowledge. The significance of aligning teaching practices with Vygotsky's theories lies in their proven ability to enhance conceptual understanding and student engagement, ultimately creating a deeper learning experience.

关键词： 黑木耳菌包   培养架   机械化   自动化  

摘要： 为解决黑木耳菌包培养架形式、大小、规格、尺寸不统一,与企业生产规模不匹配、后期运营成本过高等问题。该文介绍了黑木耳菌包培养架发展现状,并以牡丹江镜心湖菌业为例设计了一款经济适用、统一标准的黑木耳菌包培养架,以促进木耳菌包工厂标准化、规模化生产进程,为扩大木耳生产规模和全程机械化生产提供实践参考与技术支撑。

关键词： 科技伦理   卫生法   教育  

摘要： 科技的伦理治理与法律治理,本就是一体两面,两者在面对生命科技这类颠覆性技术时,存在规范属性和治理目标的重合——立足教育场景,生命科技伦理教育的内容铺垫了卫生法学教育,为法律专业青年学生拓展生物医药行业视野;卫生法学教育在责任、行为规范性意识培养上助力生命科技伦理教育,引导生物医药青年学生做到“知行合一”。就生命科技伦理教育与卫生法学教育互动融合的具体实践路径而言,可首先搭建医学类高等院校与法学类高等院校间的合作平台,然后促进生命伦理学与卫生法学学科间教学与科研的资源整合,以逐步形成完整的学科间互动融合教育创新模式。

关键词： 科幻电影   脑机接口   技术伦理   超人类主义   后人类主义  

摘要： 无论是理论视域的介入还是实践层面的考察,有关主体身份的伦理观照是始终伴随的必然命题。面对“人之为人目的”的伦理主体隐忧,脑机接口技术的出场则导向为一种“人之主体是否渐次剥离”的伦理警惕。尽管脑机接口技术现实性的应用伴随着“超人类主义”向“后人类主义”过渡的人类增强或医疗目的的功能性特质,然而其对主体身份伦理问题的探赜却停留在当下性的问询之中。与此同时,科幻电影则以富有未来性关怀的想象力建构了超越性、整体性、前瞻性的伦理困境场。尤其是通过科幻未来影像故事的假定性生成将脑机接口技术对人之主体身份的影响渐次呈现,进一步彰显了脑机互联如何生发人类异化的悲戚可能。同时,在脑机接口和人性弥散与消退的哲学思考中,阐释了人之知情同意权被捆绑后的技术宰治身体与数字永生生命等主体身份的伦理困厄。

关键词： code samurai program   coding assignments   computer science   information technology   problem-solving   regional universities   teaching assistantship   tutoring  

摘要： Over the past decade, there has been an increase in enrollment in computer science-related programs at colleges and universities. This surge can be attributed to the expansion of the technology industry during this period and the need for a technologically knowledgeable workforce, resulting in a diverse influx of students with varying levels of expertise and knowledge in computer science.

关键词： Task analysis   Resource management   Crowdsensing   Technological innovation   Optimization   Time factors   Computer science   Incentive mechanism   Q-learning   spatiotemporal crowdsensing (SC)   task allocation  

摘要： With the development of the Industrial Internet of Things (IoT), the work of large-scale data collection makes spatiotemporal crowdsensing (SC) play an important role. Mobile devices equipped with sensors could act as workers to collect and process data for uploading. In the task allocation process, a fully static allocation fails to meet the needs of realistic conditions, while a completely dynamic allocation fails to achieve the desired results. Therefore, we assume a task-scheduled execution scenario that combines the above two conditions. In the pre-allocation process, an original time location constraints (ORTA) allocation algorithm is first proposed. Then it is optimized (OPTA) to fully utilize the remaining time of the workers and increase the matched number. In addition, the design of the incentive mechanism is an effective means to improve the task completion rate of the platform. To efficiently utilize the limited platform budget in the long run, a Q-learning-based algorithm is proposed to identify target inspire tasks and subsequently increase their reward to attract workers' participation. Finally, comparison experiments are conducted on real datasets to verify the effectiveness of our algorithm. Furthermore, the experiments on a Raspberry Pi local terminal are conducted under a satellite-based environment.

关键词： Systematic review   Computer science   Hadith   Research trends   Algorithm   Datasets   Machine Learning   Islam  

摘要： Computer science development, especially machine learning, is a thriving innovation essential for education. It makes the process of teaching and learning more accessible and manageable and also promotes equality. The positive influence of machine learning can also be felt in Islamic studies, particularly in Hadith studies. This literature review highlights the role of machine learning in managing research regarding Hadith studies that have been published and categorizing it by their research topics, language & corpus, and the machine-learning algorithms. This article review has been conducted on 48 previously published hadith study journals. Then, we summarize existing trends, including trending topics, common language & corpus, and general algorithms often used in previous hadith-related reviews. This article aims to give new insight to help the broad community of researchers interested in these narrations to create fresh and further research with the uncommon topic, language & corpus, and algorithms. Furthermore, this article is also expected to contribute to academics and practitioners as a guide for conducting future research on the application of computer science in Hadith studies. We conclude that the most frequently discussed topic is Hadith Classification at 33.33%, the most widely used language is Arabic at 43.75%, and the most commonly used algorithm is SVM at 12.5%. In addition, the dataset mainly used is a public dataset by Al-Bukhari at 30.53%

关键词： Power semiconductor devices  

摘要： This article introduces Power Electronics Laboratory (PI: Assoc. Prof. Hidemine Obara) at Department of Electrical and Computer Engineering, Yokohama National University. Their research interest includes electric power conversion technologies using semiconductor power devices and their applications. © 2024 The Institute of Electrical Engineers of Japan.