Current research,application,advantages and disadvantages of wearable health monitoring items based on soft sensor technology in foreign countries and China were introduced and analyzed,and the application in diseases monitoring,emotion monitoring,monitoring of rehabilitation training,monitoring of sport training,operational safety monitoring in special environments,casualty search during war and disaster,monitoring of the elderly and children and etc were also described.The characteristics of the items were analyzed,and some countermeasures were put forward to solve the problems in materials safety,data quality,industrial standard,unclear efficacy and etc.The study and prospective of soft physiological sensing technology were expounded in detail.

Objective:To explore the relationship between psychological capital, career decision-making difficulties, and employment anxiety among undergraduate nursing students, in order to help them improve their employability and mental health.Methods:From December 2022 to January 2023, a cross-sectional survey was conducted on 543 undergraduate nursing students from five medical colleges in Shanxi Province interning at the First Hospital of Shanxi Medical University, selected through convenience sampling method, using a General Information Questionnaire, Psychological Capital Scale, College Student Career Decision-making Difficulties Scale, and College Student Employment Anxiety Scale. Spearman correlation analysis was used to explore the relationship among them, and hierarchical model was used to explore the predictive ability of undergraduate nursing students ′ psychological capital and career decision-making difficulties on their employment anxiety by stratified regression analysis. Results:The score of College Student Employment Anxiety Scale of 543 undergraduate nursing students was 36(30, 44). The results of correlation analysis showed that employment anxiety was negatively correlated with psychological capital and its four dimensions (self-efficacy, hope, resilience and optimism), while employment anxiety was moderately correlated with career decision-making difficulties and its three dimensions (lack of preparation, difficulty in information exploration and conflict)( r values were -0.291 to 0.564, all P<0.05). The hierarchical model showed that psychological capital and career decision-making difficulties independently explained the 46.1% variation of employment anxiety after controlling the influence of general data. Conclusions:The score of employment anxiety of undergraduate nursing students is in the middle level, and the difficulty of career decision-making has a positive impact, while the psychological capital has a negative impact. College educators can continuously monitor the psychological capital and provide career development counseling for undergraduate nursing students through positive psychological intervention and effective management measures, so as to reduce the degree of employment anxiety of undergraduate nursing students.

Objective:To investigate the status quo and influencing factors of health self-management ability of scientific and technological workers in Shanxi Province.Methods:This study was a cross-sectional study. Using the general situation questionnaire and the adult health self-management ability evaluation scale, 467 scientific and technological workers who received physical examination in the First Hospital of Shanxi Medical University from January 2022 to September 2022 were investigated by questionnaire, and their height, weight, body mass index, fasting blood glucose, blood lipids and blood uric acid were collected on the day of physical examination. Multiple linear regression analysis was used to explore the influencing factors of health self-management ability, and Pearson and Spearman correlation analysis was used to analyze the correlation between health self-management ability and examination items.Results:The total score of health self-management ability of 467 scientific and technological workers was (153.7±16.5). The results of multiple linear regression showed that the type of medical insurance, self-assessment of health status, staying up late, and sleep quality were independent influencing factors of health self-management ability ( R2=0.141, adjusted R2=0.120, F=6.771; P<0.001). Health self-management ability was positively correlated with high-density lipoprotein ( r=0.114), behavioral subscale was positively correlated with high-density lipoprotein ( r=0.107), environmental subscale was negatively correlated with uric acid ( r=-0.103), triglyceride ( r=-0.118), and positively correlated with high-density lipoprotein ( r=0.129), and cognitive subscale was negatively correlated with triglyceride ( r=-0.125), all of which were statistically significant ( P<0.05). Conclusions:The ability of health self-management of scientific and technological workers in Shanxi Province belongs to the upper middle level, which is affected by the type of medical insurance, the self-assessment of health status, staying up late, and the quality of sleep. It is suggested that the ability of health self-management of scientific and technological workers can be improved by strengthening their health beliefs, providing a more convenient working environment, reducing the frequency of staying up late, and improving their sleep quality.

Objective To analyze the changes of CD4⁺ T cell numbers at different periods of antiviral therapy in HIV-infected and AIDS patients (HIV/AIDS) in Yichang City. Methods The relevant information was retrieved from the National AIDS Comprehensive Prevention Information System-Antiretroviral Treatment Management Database. Changes in the number of CD4⁺ T cells were analyzed in HIV/AIDS patients who started receiving highly active antiretroviral therapy (HAART) and continued the treatment for 3 years from January 1, 2003 to December 31, 2017 in Yichang. Results The number of CD4⁺T lymphocytes in 550 HIV/AIDS cases increased significantly at various time points within 3 years after treatment, and increased with the increase of treatment time（F=100.20，P<0.001）. The CD4+T cell counts of different baseline level groups were statistically different before and after treatment（F=8.57，P<0.01）. The CD4+ T cell counts of patients who started treatment at age of 15-30 years old increased faster than those who started treatment at age of over 30 years old（F=1.27，P<0.05）. Conclusion HAART has a significant effect on the increase of CD4+T cells, and the early treatment is more effective. Early detection, diagnosis and treatment should be promoted, and anti-viral treatment should be actively carried out.