Abstract ： The rise of artificial intelligence(AI) places higher demands on the capabilities and qualities of the first secretaries stationed in villages, and the traditional educational management model is difficult to adapt to the needs of the new situation. Focusing on AI empowering the educational management of first secretaries stationed in villages, this paper, through an analysis of the current situation,systematically explores the important significance of AI in improving the efficiency of educational management, enhancing the pertinence of training, and promoting the balance of resources. It also identifies the problems existing in content adaptation, method innovation, assessment and feedback, etc. From four dimensions—construction of an intelligent training system, data-driven management, optimization of collaboration mechanisms, and improvement of support systems—specific implementation strategies are proposed. AI, by empowering with technology, breaks the limitations of traditional educational management, provides a precise and efficient path for improving the capabilities of first secretaries stationed in villages, and has important practical value for promoting the construction of talent teams in rural revitalization.

Abstract：Internet public opinion in Colleges and universities has the characteristics of fast transmission speed, wide range, diverse means of transmission, sensitive content, diverse communication subjects and strong interaction. Colleges and universities should strive to improve the management system, clarify the division of responsibilities, improve the management mechanism, upgrade monitoring means, improve ideological understanding, enhance coping ability, expand the propaganda position, and strengthen the guidance of public opinion.

Abstract: In the field of building construction, unsafe behaviors of construction workers are a critical factor contributing to safety accidents. This paper delves into relevant key technologies based on multi-source data fusion technology and proposes a precise identification method for unsafe behaviors of construction workers through innovative practices such as constructing a fused data acquisition system, establishing an intelligent identification and early warning system, and implementing model dynamic optimization strategies. This method contributes to enhancing the accuracy and real-time performance of unsafe behavior identification.

Abstract: In the context of accelerated digital transformation, Human Resource Sharing Service Centers (HRSSCs) as centralized and standardized HR management models face core pain points such as data security, process efficiency, and trust mechanisms. Blockchain technology, with its decentralized, tamper-proof, and traceable characteristics, offers a new approach to addressing HRSSC management challenges. This paper systematically examines blockchain applications in HRSSC scenarios including employee information management, compensation settlement, recruitment vetting, training certification, and performance evaluation. Through case studies of three HRSSCs across different industries, the research evaluates practical effectiveness from four dimensions: efficiency improvement, cost control, risk prevention, and experience optimization. The findings demonstrate that blockchain technology can significantly reduce data verification costs and enhance process transparency and response speed for HRSSCs. However, challenges remain in technology implementation, standard unification, and privacy protection. Finally, targeted optimization suggestions are proposed based on case insights to provide references for large-scale blockchain adoption in HRSSCs.

Abstract: In the era of accelerated digital economy penetration, emerging technologies such as artificial intelligence, big data, and cloud computing are deeply integrating with human resource management, driving traditional HR models toward digitalization, intelligence, and personalization. This transformation not only reshapes corporate HR processes and structures but also profoundly impacts employee career development. Based on the core characteristics of technology empowerment, this study systematically examines HR model transformations across dimensions including recruitment, training, performance management, and compensation incentives. Through empirical analysis of 12 enterprises across various industries, the research investigates how management model changes influence employee career development (career competency enhancement, career path expansion, job satisfaction, and career stability), while identifying challenges in the transformation process. The findings reveal that technology-enabled HR model reforms significantly enhance career development, yet issues like uneven technology adoption, digital divide, and lack of humanistic care constrain full realization of these benefits. Finally, the study proposes targeted optimization recommendations from corporate, employee, and government perspectives to facilitate synergistic win-win outcomes between technological empowerment and employee career development.

Abstract ： Objectives With the aging population in China, the cognitive function of older adults has become a concern. However, few studies have evaluated the risk factors for changes in cognitive function in older adults with cardiovascular disease in China. Methods We conducted a population-based cross-sectional study of 3, 270 participants using a multistage, stratified, cluster-sampling procedure. Binary and multiple logistic regression analyses were used to explore the factors influencing cognitive impairment. Results The prevalence of cognitive impairment in older adults with cardiovascular disease was 27.7%, which was higher than that in the general older adult population. Multivariate regression analyses revealed that age (OR: 1.023; 95% CI: 1.011, 1.036), educational level (primary school or below: OR: 0.150; 95% CI: 0.094, 0.239; junior high school: OR: 0.258; 95% CI: 0.170, 0.392), monthly family income (RMB2, 000-4, 000: OR: 2.618; 95% CI: 1.949, 3.517; RMB4, 000-6, 000: OR: 1.809; 95% CI: 1.413, 2.316), place of residence (rural region or towns: OR: 0.665; 95% CI: 0.524, 0.843; small or mid-sized cities: OR: 0.710; 95% CI: 0.539, 0.936), medication usage, frequency of social activities, care from family or friends (OR: 1.420; 95% CI: 1.135, 1.777), hearing ability (OR: 0.754; 95% CI: 0.618, 0.920), walking ability (OR: 0.479; 95% CI: 0.387, 0.591), and symptoms of anxiety and depression were all significantly associated with cognitive impairment. Conclusion The high prevalence of cognitive impairment among older adults with CVD underscores the urgent need for integrated care models that address both cardiovascular and cognitive health. A comprehensive and systematic prevention and treatment program should be developed, incorporating early screening, multidisciplinary collaboration, and tailored interventions targeting the identified modifiable risk factors. Future longitudinal studies are needed to confirm these associations and explore underlying mechanisms.

Abstract: Objective To analyze the effectiveness of DC-CIK immunotherapy combined with chemotherapy in patients with advanced breast cancer. Methods A total of 64 patients with advanced breast cancer admitted to our hospital from March —— March 2023 were included in the study, divided into two groups based on different treatment methods: traditional group and combined group, each consisting of 32 cases; the traditional group received conventional chemotherapy, while the combined group received both conventional chemotherapy and DC-CIK immunotherapy. The treatment outcomes and immune markers were compared between the two groups. Results Compared to the traditional group, the overall effective rate of treatment was significantly higher in the combined group (P<0.05); compared to the traditional group, the levels of CD3+, CD3+/CD4+, and NK cells were all better in the combined group (P<0.05). Conclusion In the treatment of advanced breast cancer, combining DC-CIK immunotherapy with chemotherapy can achieve ideal therapeutic effects and improve immune markers; therefore, it is worth actively promoting and scientifically applying this approach in the field.

Abstract: Contemporary college students are at a critical juncture of rapid social change and personal growth, facing multiple pressures such as academic, interpersonal, employment, and emotional pressures. Their mental health status is increasingly becoming a focus of social attention. Emotional management ability, as a core component of individual emotional intelligence, refers to an individual's ability to perceive, understand, express, regulate, and apply their own and others' emotions. This study aims to explore the intrinsic relationship and mechanism between the emotional management ability of college students and their mental health level.

Abstract: The ecological protection and high-quality development of the Yellow River Basin has been elevated to a major national strategy. As the core nodes of the cultural service system in the basin, urban libraries shoulder the important mission of inheriting Yellow River culture, serving the public, and promoting regional collaboration. However, at present, urban libraries in the Yellow River Basin generally face problems such as unbalanced development, isolated resources, homogenized services, and insufficient influence of cultural brands. This paper aims to explore the construction of a cultural linkage development mechanism for urban libraries in the Yellow River Basin. By analyzing its necessity and practical difficulties, it proposes a systematic and operational linkage development path from multiple dimensions including top-level design, resource integration, service innovation, technological empowerment, and guarantee systems, with the goal of forming a "resource sharing, complementary advantages, coordinated development, and win-win cooperation" library community in the basin. This is expected to provide theoretical support and practical guidelines for the protection, inheritance, and promotion of Yellow River culture, as well as the integrated construction of public cultural services in the basin.

Abstract: With the deepening development of the knowledge economy era and the continuous deepening of higher education reform, cultivating high-quality talents with innovative spirit and practical ability has become the core mission of universities. The ability of student self-management, as a key core competency for individual growth and success, is not only related to their learning efficiency and quality of life during university, but also the cornerstone for their lifelong development and sustainable competitiveness after entering society. However, the traditional student management model in universities generally has problems such as strong administrative color, lack of student subjectivity, and single management methods, which seriously restrict the stimulation of students' autonomy and the comprehensive development of their abilities.

Abstract ： Chronic obstructive pulmonary disease (COPD) causes persistent respiratory symptoms and reduced pulmonary function. It is difficult to control the disease using only medical therapy in these patients, especially for patients with concurrent other chronic respiratory diseases. Here we describe a case of a 68-year-old man with COPD, who has poor basic physical function and successively suffers from viral pneumonia. After evaluating the patient's condition, we performed stretching exercises extremities, endurance exercise for the upper and lower limbs, respiratory muscle training and walking and treadmill training for him. Pulmonary rehabilitation helped relieve his respiratory symptoms, improve the physiological and psychological functions, enhanced his ability to cope with daily life.

Abstract: This article conducts an in-depth analysis of the difficulties faced in the "guaranteed delivery of buildings" work from the perspective of multiple stakeholders, including the breakage of the developer's funding chain, loopholes in pre-sale fund supervision, imperfect legal system, and conflicts of interest among stakeholders. At the same time, it is proposed to establish a collaborative governance mechanism, covering the establishment of a joint coordination mechanism, improvement of fund supervision mechanism, strengthening of legal protection mechanism, optimization of interest coordination mechanism, etc., to ensure the smooth progress of the "guaranteed delivery of buildings" work, maintain the stability of the real estate market and social welfare.

Abstract: With the continuous improvement of the scale and complexity of large-scale events, temporary teams, as the core carrier of event execution, their relationship construction quality directly affects the event effectiveness. From the perspective of intelligent collaboration and combined with technological innovation applications, this paper discusses the related issues of relationship construction of temporary teams in large-scale events. It first expounds the research background and significance, then sorts out the theoretical basis of intelligent collaboration and temporary team relationship construction, analyzes the current dilemmas in the relationship construction of temporary teams in large-scale events, and then puts forward the relationship construction path based on technological innovation applications, verifies it with specific cases, and finally summarizes the research conclusions and prospects. The study aims to provide theoretical reference and practical guidance for improving the collaboration efficiency and stability of temporary teams in large-scale events.

Abstract: In the digital age, the human resources recruitment sector faces trust crises such as fabricated educational backgrounds. Traditional background verification methods suffer from inefficiency, high costs, and susceptibility to tampering. Blockchain technology, with its decentralized, immutable, and traceable characteristics, offers a novel solution to address educational background verification challenges and establish a trustworthy recruitment system. This paper first analyzes the current status and existing issues in educational background verification and human resources recruitment trust systems. It then explores the advantages of applying blockchain technology in this field. Subsequently, it proposes a blockchain-based approach for educational background verification and recruitment trust system construction, including system architecture design, role allocation for stakeholders, and operational workflows. Practical case studies demonstrate the application effects of blockchain technology. Finally, it identifies current implementation challenges and proposes corresponding countermeasures. The research indicates that blockchain technology can effectively enhance the efficiency and accuracy of educational background verification, strengthen trust in recruitment processes, and holds significant implications for the healthy development of the human resources industry.

Abstract: With the deep integration of artificial intelligence (AI) technology in education, AI-assisted teaching has become a crucial support for higher education reform. This study investigates the alleviating effect of AI-assisted teaching on college students 'academic burnout and examines the mediating role of teacher-student interaction quality. A questionnaire survey was conducted among 520 university students using the Academic Burnout Scale and Teacher-Student Interaction Quality Scale, with data processing and analysis performed through SPSS 26.0 and AMOS 24.0. Results indicate: (1) There is a significant negative correlation between AI-assisted teaching frequency and academic burnout (r=-0.32, p<0.01); (2) AI-assisted teaching frequency shows a significant positive correlation with teacher-student interaction quality (r=0.45, p<0.01); (3) Teacher-student interaction quality demonstrates a significant negative correlation with academic burnout (r=-0.51, p<0.01); (4) Teacher-student interaction quality partially mediates the relationship between AI-assisted teaching and academic burnout, accounting for 57.8% of the total effect. The findings provide empirical evidence for universities to optimize teaching processes and alleviate students' academic burnout through AI technology.