ObjectiveTo observe the activation patterns and functional connectivity in the prefrontal cortex of patients with post-stroke anxiety (PSA) using functional near-infrared spectroscopy, in order to explore the underlying neural mechanism. MethodsFrom December, 2024 to September, 2025, 120 stroke patients were selected in Changzhou De'an Hospital. They were divided into PSA group (n = 60) and non-PSA group (n = 60) according to the score of Hamilton Anxiety Scale (HAMA). All patients wore an 18-channel fNIRS acquisition cap for detection. The differences in resting-state functional connectivity between the frontopolar cortex (FPC) and dorsolateral prefrontal cortex (DLPFC) were examined in both groups, as well as task-related activation in these brain regions. ResultsResting-state functional connectivity analysis revealed no statistically significant difference in network connectivity between two groups in the FPC and DLPFC regions (|t| < 1.301, P > 0.05). Task-related activation results revealed significantly reduced activation in the contralateral FPC of PSA group compared to the non-PSA group (Z = -2.063, P < 0.05). Activation levels in this region showed a negative correlation with the scores of HAMA (ρ = -0.201, P = 0.028). ConclusionActivation decreased in the contralateral frontal pole during the task state for patients with PSA, and the activation levels negatively correlates with anxiety severities.

ObjectiveTo observe the activation patterns and functional connectivity in the prefrontal cortex of patients with post-stroke anxiety (PSA) using functional near-infrared spectroscopy, in order to explore the underlying neural mechanism. MethodsFrom December, 2024 to September, 2025, 120 stroke patients were selected in Changzhou De'an Hospital. They were divided into PSA group (n = 60) and non-PSA group (n = 60) according to the score of Hamilton Anxiety Scale (HAMA). All patients wore an 18-channel fNIRS acquisition cap for detection. The differences in resting-state functional connectivity between the frontopolar cortex (FPC) and dorsolateral prefrontal cortex (DLPFC) were examined in both groups, as well as task-related activation in these brain regions. ResultsResting-state functional connectivity analysis revealed no statistically significant difference in network connectivity between two groups in the FPC and DLPFC regions (|t| < 1.301, P > 0.05). Task-related activation results revealed significantly reduced activation in the contralateral FPC of PSA group compared to the non-PSA group (Z = -2.063, P < 0.05). Activation levels in this region showed a negative correlation with the scores of HAMA (ρ = -0.201, P = 0.028). ConclusionActivation decreased in the contralateral frontal pole during the task state for patients with PSA, and the activation levels negatively correlates with anxiety severities.

ObjectiveTo observe the activation patterns and functional connectivity in the prefrontal cortex of patients with post-stroke anxiety (PSA) using functional near-infrared spectroscopy, in order to explore the underlying neural mechanism. MethodsFrom December, 2024 to September, 2025, 120 stroke patients were selected in Changzhou De'an Hospital. They were divided into PSA group (n = 60) and non-PSA group (n = 60) according to the score of Hamilton Anxiety Scale (HAMA). All patients wore an 18-channel fNIRS acquisition cap for detection. The differences in resting-state functional connectivity between the frontopolar cortex (FPC) and dorsolateral prefrontal cortex (DLPFC) were examined in both groups, as well as task-related activation in these brain regions. ResultsResting-state functional connectivity analysis revealed no statistically significant difference in network connectivity between two groups in the FPC and DLPFC regions (|t| < 1.301, P > 0.05). Task-related activation results revealed significantly reduced activation in the contralateral FPC of PSA group compared to the non-PSA group (Z = -2.063, P < 0.05). Activation levels in this region showed a negative correlation with the scores of HAMA (ρ = -0.201, P = 0.028). ConclusionActivation decreased in the contralateral frontal pole during the task state for patients with PSA, and the activation levels negatively correlates with anxiety severities.

The application of sensors to the monitoring of spinal morphology and motion was reviewed in terms of the research object and monitoring index.The present situation of the application of sensors was introduced,such as inertial sensor,stretchable strain sensor and electromagnetic sensor.The deficiencies of sensors applied to the monitoring of spinal morphology and motion were analyzed,and the future directions of the application were pointed out.[Chinese Medical Equipment Journal,2025,46(6):105-110]

Objective:This study aims to analyze the weight management policy practices in Japan,South Korea,and Singapore to provide international references for improving China's weight health management and metabolic disease prevention system.Methods:Based on the Innovative Care for Chronic Conditions Framework(ICCC),we conducted a literature review and policy analysis methods of domestic and international policies and publications on weight management,systematically analyzing and summarizing relevant strategies and practices to extract key insights in Japan,South Korea,and Singapore.Results:All three countries have established a multi-level collaborative governance system:at the macro level,they built institutional foundations through legislation,cross-sectoral collaboration,and diversified financing;at the meso level,they enhanced management efficiency via comprehensive medical services,multidisciplinary coordination,and smart information systems,while community-level initiatives fostered supportive environments through health education and environmental modifications;at the micro level,they emphasized personalized interventions and family involvement to strengthen self-management capabilities.Conclusion:China can learn from these neighboring countries'experiences to develop a multi-tiered prevention system,strengthen primary care capacity,improve medical security mechanisms,and facilitate a shift from disease treatment to health management,ultimately constructing a weight management solution with Chinese characteristics.

The case teaching mode,as an important practical way of teaching reform in graduate educa-tion,plays a positive role in stimulating learning interest and improving comprehensive ability.As a core course in biology,advanced immunology is characterised by the depth of its theoretical system and the boundaries of its research scope.In this paper,we first analyzed the significance and current situation of case library construction at home and abroad,and pointed out the key issues that need to be further opti-mised in the existing case teaching mode.Based on the construction strategy of"Advanced Immunolo-gy",three typical teaching cases,namely tumour treatment strategy,gene editing technology to overcome organ transplant rejection,and synthetic immunology,are selected for empirical research,focusing on graduate students' innovative ability to raise questions and solve problems.The effectiveness of teaching practice was summarized from the improvement of teachers' ability,the award-winning of students' disci-plinary competitions,and the co-construction between the university and enterprises,which has a signifi-cant effect and guarantees the benign optimization of the teaching reform of immunology,and also has the popularization value and exemplary effect on the high-quality development of immunology-related courses.

The aim of this study is to explore a new path of empowering ideological and political educa-tion in courses with digital intelligence technology,therefore to improve the teaching quality of biology courses in universities,promote the comprehensive implementation of the fundamental task of cultivating morality and talents,and continuously improve the level of"three pronged education".By using the biol-ogy course"Immunology"as a practical carrier,we have constructed a dual-driven framework of"ideo-logical and political guidance+digital intelligence empowerment"utilizing digital tools to further highlight pedagogical feature enhancement,curricular optimization,innovative teaching models,multidimensional assessment,and enhanced teaching refinement.The empowerment of digital intelligence in the ideological and political construction of the course"Immunology"has achieved notable progress.Students' profes-sional abilities and ideological and political literacy have significantly improved,and the proportion of students with excellent grades has been increasing year by year(81.93％of students with good grades or above in 2024),demonstrating outstanding performance in various social practice activities;The course exhibits excellent demonstration and radiation effects on campus,and the teaching results have been sup-ported by the Ministry of Education and provincial-level education reform projects.This study serves as a practical example for the digital transformation of ideological and political education in higher education courses,providing reference and innovative insights for implementing ideological and political elements in other courses of biology majors.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:This study aims to analyze the weight management policy practices in Japan,South Korea,and Singapore to provide international references for improving China's weight health management and metabolic disease prevention system.Methods:Based on the Innovative Care for Chronic Conditions Framework(ICCC),we conducted a literature review and policy analysis methods of domestic and international policies and publications on weight management,systematically analyzing and summarizing relevant strategies and practices to extract key insights in Japan,South Korea,and Singapore.Results:All three countries have established a multi-level collaborative governance system:at the macro level,they built institutional foundations through legislation,cross-sectoral collaboration,and diversified financing;at the meso level,they enhanced management efficiency via comprehensive medical services,multidisciplinary coordination,and smart information systems,while community-level initiatives fostered supportive environments through health education and environmental modifications;at the micro level,they emphasized personalized interventions and family involvement to strengthen self-management capabilities.Conclusion:China can learn from these neighboring countries'experiences to develop a multi-tiered prevention system,strengthen primary care capacity,improve medical security mechanisms,and facilitate a shift from disease treatment to health management,ultimately constructing a weight management solution with Chinese characteristics.

The case teaching mode,as an important practical way of teaching reform in graduate educa-tion,plays a positive role in stimulating learning interest and improving comprehensive ability.As a core course in biology,advanced immunology is characterised by the depth of its theoretical system and the boundaries of its research scope.In this paper,we first analyzed the significance and current situation of case library construction at home and abroad,and pointed out the key issues that need to be further opti-mised in the existing case teaching mode.Based on the construction strategy of"Advanced Immunolo-gy",three typical teaching cases,namely tumour treatment strategy,gene editing technology to overcome organ transplant rejection,and synthetic immunology,are selected for empirical research,focusing on graduate students' innovative ability to raise questions and solve problems.The effectiveness of teaching practice was summarized from the improvement of teachers' ability,the award-winning of students' disci-plinary competitions,and the co-construction between the university and enterprises,which has a signifi-cant effect and guarantees the benign optimization of the teaching reform of immunology,and also has the popularization value and exemplary effect on the high-quality development of immunology-related courses.