BACKGROUND Effective health management for high-risk stroke populations is essential.The hospital-community-home(HCH)collaborative health management(CHM)model leverages resources from hospitals,communities,and familie...BACKGROUND Effective health management for high-risk stroke populations is essential.The hospital-community-home(HCH)collaborative health management(CHM)model leverages resources from hospitals,communities,and families.By integrating patient information across these three domains,it facilitates the delivery of tailored guidance,health risk assessments,and three-in-one health education.AIM To explore the effects of the HCH-CHM model on stroke risk reduction in highrisk populations.METHODS In total,110 high-risk stroke patients screened in the community from January 2019 to January 2023 were enrolled,with 52 patients in the control group receiving routine health education and 58 in the observation group receiving HCH-CHM model interventions based on routine health education.Stroke awareness scores,health behavior levels,medication adherence,blood pressure,serum biochemical markers(systolic/diastolic blood pressure,total cholesterol,and triglyceride),and psychological measures(self-rating anxiety/depression scale)were evaluated and compared between groups.RESULTS The observation group showed statistically significant improvements in stroke awareness scores and health behavior levels compared to the control group(P<0.05),with notable enhancements in lifestyle and dietary habits(P<0.05)and reductions in postintervention systolic blood pressure,diastolic blood pressure,total cholesterol,triglyceride,self-rating anxiety scale,and self-rating depression scale scores(P<0.05).CONCLUSION The HCH-CHM model had a significant positive effect on high-risk stroke populations,effectively increasing disease awareness,improving health behavior and medication adherence,and appropriately ameliorating blood pressure,serum biochemical marker levels,and negative psychological symptoms.展开更多
The digital revolution in agriculture has introduced data-driven decision-making,where artificial intelligence,especially machine learning(ML),helps analyze large and varied data sources to improve soil quality and cr...The digital revolution in agriculture has introduced data-driven decision-making,where artificial intelligence,especially machine learning(ML),helps analyze large and varied data sources to improve soil quality and crop growth indices.Thus,a thorough evaluation of scientific publications from 2007 to 2024 was conducted via the Scopus and Web of Science databases with the PRISMA guidelines to determine the realistic role of ML in soil health and crop improvement under the SDGs.In addition,the present review focused to identify and analyze the trends,challenges,and opportunities associated with the successful implementation of ML in agriculture.The assessment of various databases clearly revealed that ML implementation depends on crop management,while its limited potential in terms of soil health was explored.ML models,such as random forest and XGBoost,have demonstrated high accuracies of up to 99%in crop yield prediction and disease detection.Advanced ML frameworks,including the SHIDS-ADLT and EfficientNetB3,have improved soil health monitoring and plant disease classification.Irrigation management using ML has achieved over 50%water savings and irrigation efficiency by 10%-35%.These findings highlight the potential of ML to improve sustainable agricultural practices and soil health.A significant improvement discussed in this review is AutoML,which simplifies ML model implementation by automating feature selection,model selection,and hyperparameter tuning,reducing dependency on ML expertise.The integration of ML with remote sensing,Internet of Things(IoT),and big data analytics is expected to further transform the precision agriculture and real-time decisionmaking approaches to optimize resource utilization.Conclusively,the present review offers a quantitative perspective on the evolution of ML in agriculture,soil health management,crop yield prediction,and resource optimization.展开更多
Objectives:This study aimed to describe the development process of the peer precision-matching and health management mobile platform"Aspark"for people living with human immunodeficiency virus(HIV)(PLWH)and t...Objectives:This study aimed to describe the development process of the peer precision-matching and health management mobile platform"Aspark"for people living with human immunodeficiency virus(HIV)(PLWH)and to evaluate its usability.Methods:The study assembled a multidisciplinary research and development team comprising researchers,software engineers,art designers,clinical nursing specialists,HIV peer volunteers,and psychological counselors.The team employed an agile development model to iteratively build the platform.Using the social determinants of health framework and the interpersonal circumplex,we identified 14 matching variables for the mobile platform.A video production team was formed to create peer training videos on health management for PLWH.We integrated relevant tools to provide PLWH with various types of support,including informational,instrumental,emotional,affiliational,and appraisal assistance.From March to May 2024,the research team used convenience sampling to select 130 platform users.It administered an electronic questionnaire based on the System Usability Scale to evaluate the platform's overall usability.Results:The platform incorporates multiple functional modules,including"Precision Matching,""Drug Interaction Query,""Medication Reminder,""Health Management,""Mood Diary,""Community Discussion,"and"Activity Center,"achieving comprehensive coverage across informational,emotional,instrumental,social,and appraisal support.The precision matching module facilitates intelligent pairing between patients and peer volunteers;the health management module allows for the entry of test results and trend analysis;medication reminders and check-in features enhance medication adherence;the mood diary supports emotional recording and expressive writing;while the community module offers functions such as topic discussions,appointment scheduling,and organization of offline activities.Among the 130 valid questionnaires,more than 83%of users scored above 68 on the System Usability Scale,indicating that the platform demonstrates favourable usability.Conclusions:The"Aspark"platform offers a feasible and promising digital solution for precision matching in HIV peer support and health management,enabling healthcare providers to deliver personalized and continuous health support to patients through its functions.Well-designed clinical trials should be conducted in the future to evaluate the effectiveness of this tool.展开更多
Objective:To investigate the impact of programmed harmonious nursing combined with hierarchical management on nursing quality and satisfaction in a health management center.Methods:A total of 100 patients who received...Objective:To investigate the impact of programmed harmonious nursing combined with hierarchical management on nursing quality and satisfaction in a health management center.Methods:A total of 100 patients who received care at this health management center from January 2024 to January 2025 were selected as subjects.Using a random number table method,they were divided into an observation group(n=50)and a control group(n=50).The control group followed traditional methods,while the observation group integrated programmed harmonious nursing with hierarchical management.Comparative analysis was conducted on nursing quality scores,adverse event occurrence rates,and patient satisfaction between the two groups.Results:The observation group showed significantly improved nursing quality scores(P<0.05)and markedly reduced incidence of adverse events(P<0.05),with statistically significant differences compared to pre-treatment conditions(P<0.05).Conclusion:The combination of hierarchical management and programmed harmonious nursing demonstrates effectiveness in enhancing medical service quality,reducing adverse reactions,and improving patient satisfaction—a method worthy of promotion.展开更多
Objective: The health-related quality of life (HRQoL) theory was used to assess the health quality of elderly residents in Southwest China. This was done by using the European Five-Dimensional Health Scale in a compre...Objective: The health-related quality of life (HRQoL) theory was used to assess the health quality of elderly residents in Southwest China. This was done by using the European Five-Dimensional Health Scale in a comprehensive manner and by analysing the factors influencing it. The findings will provide new perspectives and ideas for improving the health-related quality of life of the elderly population and enhancing the precise health management of elderly residents. Methods: The response data of 1892 elderly residents in southwestern China were included in the analysis based on the CLHLS data. The factors influencing the occurrence of problems, EQ-VAS scores and health utility values were analysed by logistic regression, multiple linear regression and Tobit regression, respectively. Results: The primary health concerns among the elderly population in the Southwest region were limited ability to perform daily activities and pain or discomfort. These individuals exhibited an EQ-VAS self-assessment score of 66.51 ± 14.87 and a health utility value of 0.87 (0.70, 1.00). Gender, age, regular medical check-ups, exercise habits and the prevalence of chronic diseases are the main influencing factors. Conclusions: The health quality of elderly people in Southwest China needs to be improved, and a comprehensive management strategy can be adopted in terms of lifestyle management, health needs management and disease management to improve the quality of their healthy lives and promote the development of healthy ageing.展开更多
Objective: To analyze the clinical effects of the patient participation health model in the health management of type 2 diabetes mellitus. Methods: A total of 124 patients with type 2 diabetes admitted to the hospital...Objective: To analyze the clinical effects of the patient participation health model in the health management of type 2 diabetes mellitus. Methods: A total of 124 patients with type 2 diabetes admitted to the hospital from June 2023 to June 2024 were randomly assigned to either the control group (64 patients) or the intervention group (60 patients). Patients in the control group received routine health management, while those in the intervention group were managed using a patient-participation health model with progressive, stage-based interventions. Outcomes were assessed based on blood glucose control, disease awareness, and self-management behaviors. Adverse reactions during health management were closely monitored in both groups. Results: Patients in the intervention group showed significantly better outcomes in blood glucose control, disease awareness, and self-management behaviors compared to the control group. Conclusion: The patient participation health model demonstrated significant clinical value, effectively enhancing self-management abilities, improving glycemic control, and increasing disease awareness. This model is recommended for widespread adoption in the health management of type 2 diabetes to achieve better therapeutic outcomes and improve patient quality of life.展开更多
At the current stage,China’s medical and health industry is constantly developing,and it is essential to fully attach importance to the core role of Centers for Disease Control and Prevention(CDC).For tertiary hospit...At the current stage,China’s medical and health industry is constantly developing,and it is essential to fully attach importance to the core role of Centers for Disease Control and Prevention(CDC).For tertiary hospitals,one of their key work tasks is to carry out public health management.Based on this,this paper mainly expounds on some basic problems existing in the public health management of state-owned hospitals at the current stage,and puts forward corresponding countermeasures for the identified problems.These countermeasures include enhancing the emphasis on public health management,strengthening the intensity of medical management,effectively improving the allocation of medical management resources,and intensifying the training of relevant personnel.This paper aims to provide references for improving the level of hospital public health management.展开更多
[Objectives] To investigate and analyze the physical examination status of the staff in an agricultural university in Tianjin,to understand the composition of the diseases suffered by the staff in the university,and t...[Objectives] To investigate and analyze the physical examination status of the staff in an agricultural university in Tianjin,to understand the composition of the diseases suffered by the staff in the university,and to provide the basis for the formulation of health education programs and health management countermeasures.[Methods] A comprehensive physical examination survey was conducted among 377 teachers and staff in the school,and the results were statistically analyzed by SPSS 24.0.[Results] The detection rates of diseases among the staff of a university in Tianjin were 161(42.7%)overweight and obesity,167(44.3%)dyslipidemia,250(66.31%)thyroid nodules,214(56.76%)fatty liver,116(30.77%)hyperglycemia,96(25.46%)hypertension,90 cases(23.87%)had abnormal ECG,and the prevalence rate increased with age.[Conclusions] The health status of the staff in a university in Tianjin is not optimistic.They should strengthen health education and health care guidance,increase sports and physical exercise,actively do a good job in early diagnosis,treatment and prevention of diseases,and improve their health level.展开更多
Current research on Digital Twin(DT)based Prognostics and Health Management(PHM)focuses on establishment of DT through integration of real-time data from various sources to facilitate comprehensive product monitoring ...Current research on Digital Twin(DT)based Prognostics and Health Management(PHM)focuses on establishment of DT through integration of real-time data from various sources to facilitate comprehensive product monitoring and health management.However,there still exist gaps in the seamless integration of DT and PHM,as well as in the development of DT multi-field coupling modeling and its dynamic update mechanism.When the product experiences long-period degradation under load spectrum,it is challenging to describe the dynamic evolution of the health status and degradation progression accurately.In addition,DT update algorithms are difficult to be integrated simultaneously by current methods.This paper proposes an innovative dual loop DT based PHM framework,in which the first loop establishes the basic dynamic DT with multi-filed coupling,and the second loop implements the PHM and the abnormal detection to provide the interaction between the dual loops through updating mechanism.The proposed method pays attention to the internal state changes with degradation and interactive mapping with dynamic parameter updating.Furthermore,the Independence Principle for the abnormal detection is proposed to refine the theory of DT.Events at the first loop focus on accurate modeling of multi-field coupling,while the events at the second loop focus on real-time occurrence of anomalies and the product degradation trend.The interaction and collaboration between different loop models are also discussed.Finally,the Permanent Magnet Synchronous Motor(PMSM)is used to verify the proposed method.The results show that the modeling method proposed can accurately track the lifecycle performance changes of the entity and carry out remaining life prediction and health management effectively.展开更多
In recent years,a number of intelligent algorithm have been proposed for forecasting the lithium-ion battery state of health(SOH).Due to the varying specifications and operating conditions of batteries,it is difficult...In recent years,a number of intelligent algorithm have been proposed for forecasting the lithium-ion battery state of health(SOH).Due to the varying specifications and operating conditions of batteries,it is difficult to anticipate the health condition of lithium battery as it begins to deteriorate.There are still few studies on health state prediction models for different types of batteries.In this paper,40 battery data from 5 public datasets are selected to carry out research,and a model architecture consisting of Denoising Autoencoder and Transformer is designed.One or two types of battery packs are identified as the source domain,and multiple types of battery packs are identified as the target domain.By employing Maximum Mean Discrepancy(MMD)on the Transformer architecture,the source and target domains were evaluated and found to converge as training continued.Finally,29 transfer learning combination tasks were constructed.Results show that the model built with two kinds of batteries as the target domain has the best prediction accuracy and excels in prediction and is versatile in its application.The experimental results also reveal that this study provides a promising tool for predicting Lithium-ion batteries’SOH and strives to build a generalized model of the Lithium-ion batteries’SOH indicators.展开更多
One in five Americans experience symptoms associated with at least one mental health disorder every year. These include behavioral addictions, which have long been overlooked despite their similar neural bases with su...One in five Americans experience symptoms associated with at least one mental health disorder every year. These include behavioral addictions, which have long been overlooked despite their similar neural bases with substance addictions. Gambling addiction, a type of behavioral addiction, deserves particular attention given the significant negative effects, this addiction has on financial and interpersonal health. The purpose of this paper is to review the available literature concerning the behavioral and neural processes involved in gambling addiction, including: the anticipation of reward, the role of dopamine, and the neural substrates of the decision-making processes involved in gambling addiction. Market research has also identified solutions that integrate applied neuroscience and self-tracking systems to monitor and manage mental health issues associated with gambling addiction. The authors then propose a gambling treatment-focused mobile app solution that addresses outstanding issues with a special design aimed at reversing plasticity in order to relieve the effects of gambling addiction. .展开更多
Objective: By the end of 2021, the aging rate of China’s population is 18.9%, and the prevalence rate of chronic diseases in the elderly population is increasing year by year, and chronic diseases have become the mai...Objective: By the end of 2021, the aging rate of China’s population is 18.9%, and the prevalence rate of chronic diseases in the elderly population is increasing year by year, and chronic diseases have become the main causes of death and health threats of Chinese residents. Therefore, how to manage this huge group well is crucial. This paper analyzes the value of health education in the process of health management for patients with chronic diseases. Methods: 102 patients with chronic diseases treated from January 2021 to December 2021 were divided into control group and experimental group by random number table method. The control group was given routine health management while the experimental group was given health education based on the control group, and the implementation effect was analyzed. Results: After management, the scores of chronic disease knowledge in the experimental group were significantly higher than those in the control group, and the dimensions of ESCA were higher than those in the control group, and P < 0.05;Conclusion: The implementation of health education in the process of chronic disease health management is helpful to improve patients’ self-care ability and better control disease progression.展开更多
Objective:The purpose of this study is to investigate the application of Chinese and Western medicine in the health management of school-age children with asthma and its research progress,with a view to providing a mo...Objective:The purpose of this study is to investigate the application of Chinese and Western medicine in the health management of school-age children with asthma and its research progress,with a view to providing a more comprehensive and effective management strategy for the clinic.Methods:Using the method of literature review,this study systematically searched and analyzed the relevant studies on the combination of Chinese and Western medicine in the health management of school-aged children with asthma in recent years,focusing on Chinese medicine treatment,Western medicine treatment,and the combined health management of Chinese and Western medicine.Results:Chinese medicine treatment,Western medicine treatment,and the health management mode of combining Chinese and Western medicine showed unique advantages in school-age asthmatic children.Through the comprehensive use of Chinese medicine’s diagnosis and treatment,Chinese medicine conditioning,Chinese medicine characteristic therapy,and Western medicine’s modern medical methods,it not only effectively relieved asthma symptoms but also significantly improved the quality of life of the children.At the same time,this management mode also focuses on the psychological guidance and family care of the children,forming an all-round and multi-level health management system.Conclusion:The health management strategy of combining Chinese and Western medicine has a broad application prospect in school-age asthmatic children,and its specific interventions and mechanisms of action should be further studied to provide more scientific and systematic guidance for clinical practice.展开更多
Objective: To analyze the effect of health management on improving the awareness rate of disease prevention and treatment in patients with prehypertension, so as to provide guidance for clinical management of patients...Objective: To analyze the effect of health management on improving the awareness rate of disease prevention and treatment in patients with prehypertension, so as to provide guidance for clinical management of patients with prehypertension. Methods: 108 patients diagnosed with prehypertension in our hospital were divided into a control group and an experimental group. The control group was not given management measures, while the experimental group was given health management. The incidence of hypertension and cognition level of hypertension knowledge were compared between the two groups after management. Results: The incidence of hypertension in the experimental group was 7.41% lower than that in the control group 29.63%. The cognitive level of hypertension in the patients (66.54 ± 1.25) was significantly higher than that in the patients without health management (41.45 ± 2.45), and P < 0.05;Conclusion: For patients with prehypertension, the implementation of health management is helpful to improve their cognition of hypertension, master related prevention knowledge, and reduce the incidence of hypertension.展开更多
Objective:To observe the clinical effects of detail-oriented nursing in health checkups at a health management center.Methods:A total of 240 individuals undergoing health checkups at the hospital’s health management ...Objective:To observe the clinical effects of detail-oriented nursing in health checkups at a health management center.Methods:A total of 240 individuals undergoing health checkups at the hospital’s health management center from June 2023 to June 2024 were enrolled and randomly divided into two groups according to a random number table method.The control group received routine nursing care,while the observation group received detail-oriented nursing care,with 120 cases in each group.Differences in checkup quality and nursing risk incidence were compared.Results:The form submission rate,project completion rate,and one-time checkup completion rate in the observation group were higher than those in the control group,while the checkup time was shorter(P<0.05).The incidence of nursing risks such as item loss,falls,and patient-nurse disputes was lower in the observation group compared to the control group(P<0.05).Conclusion:Applying detail-oriented nursing in health checkups at a health management center can effectively improve checkup quality and reduce the occurrence of nursing risks.展开更多
On October 18,2017,the 19th National Congress Report called for the implementation of the Healthy China Strategy.The development of biomedical data plays a pivotal role in advancing this strategy.Since the 18th Nation...On October 18,2017,the 19th National Congress Report called for the implementation of the Healthy China Strategy.The development of biomedical data plays a pivotal role in advancing this strategy.Since the 18th National Congress of the Communist Party of China,China has vigorously promoted the integration and implementation of the Healthy China and Digital China strategies.The National Health Commission has prioritized the development of health and medical big data,issuing policies to promote standardized applica-tions and foster innovation in"Internet+Healthcare."Biomedical data has significantly contributed to preci-sion medicine,personalized health management,drug development,disease diagnosis,public health monitor-ing,and epidemic prediction capabilities.展开更多
Subgrade engineering is a fundamental aspect of infrastructure construction in China.As the primary structural element responsible for bearing and distributing traffic loads,the subgrade must not only withstand the su...Subgrade engineering is a fundamental aspect of infrastructure construction in China.As the primary structural element responsible for bearing and distributing traffic loads,the subgrade must not only withstand the substantial pressures exerted by vehicles,trains,and other forms of transportation,but also efficiently transfer these loads to the underlying foundation,ensuring the stability and longevity of the roadway.In recent years,advancements in subgrade engineering technology have propelled the industry towards smarter,greener,and more sustainable practices,particularly in the areas of intelligent monitoring,disaster management,and innovative construction methods.This paper reviews the application and methodologies of intelligent testing equipment,including cone penetration testing(CPT)devices,soil resistivity testers,and intelligent rebound testers,in subgrade engineering.It examines the operating principles,advantages,limitations,and application ranges of these tools in subgrade testing.Additionally,the paper evaluates the practical use of advanced equipment from both domestic and international perspectives,addressing the challenges encountered by various instruments in realworld applications.These devices enable precise,comprehensive testing and evaluation of subgrade conditions at different stages,providing real-time data analysis and intelligent early warnings.This supports effective subgrade health management and maintenance.As intelligent technologies continue to evolve and integrate,these tools will increasingly enhance the accuracy,efficiency,and sustainability of subgrade monitoring.展开更多
1. Introduction Prognostics, known as ‘Remaining Useful Life(RUL) prediction', plays a crucial role in health management of critical systems, which is vital for maintaining the operating safety and reliability, a...1. Introduction Prognostics, known as ‘Remaining Useful Life(RUL) prediction', plays a crucial role in health management of critical systems, which is vital for maintaining the operating safety and reliability, and reducing the management costs.1Here, the RUL is usually defined as the length from the current time to the end of the useful life.展开更多
Dear Editor,This letter presents a latent-factorization-of-tensors(LFT)-incorporated battery cycle life prediction framework.Data-driven prognosis and health management(PHM)for battery pack(BP)can boost the safety and...Dear Editor,This letter presents a latent-factorization-of-tensors(LFT)-incorporated battery cycle life prediction framework.Data-driven prognosis and health management(PHM)for battery pack(BP)can boost the safety and sustainability of a battery management system(BMS),which relies heavily on the quality of the measured BP data like the voltage(V),current(I),and temperature(T).展开更多
基金Supported by Guiding Project of Hebei Provincial Health Commission,No.20201190 and 20180220.
文摘BACKGROUND Effective health management for high-risk stroke populations is essential.The hospital-community-home(HCH)collaborative health management(CHM)model leverages resources from hospitals,communities,and families.By integrating patient information across these three domains,it facilitates the delivery of tailored guidance,health risk assessments,and three-in-one health education.AIM To explore the effects of the HCH-CHM model on stroke risk reduction in highrisk populations.METHODS In total,110 high-risk stroke patients screened in the community from January 2019 to January 2023 were enrolled,with 52 patients in the control group receiving routine health education and 58 in the observation group receiving HCH-CHM model interventions based on routine health education.Stroke awareness scores,health behavior levels,medication adherence,blood pressure,serum biochemical markers(systolic/diastolic blood pressure,total cholesterol,and triglyceride),and psychological measures(self-rating anxiety/depression scale)were evaluated and compared between groups.RESULTS The observation group showed statistically significant improvements in stroke awareness scores and health behavior levels compared to the control group(P<0.05),with notable enhancements in lifestyle and dietary habits(P<0.05)and reductions in postintervention systolic blood pressure,diastolic blood pressure,total cholesterol,triglyceride,self-rating anxiety scale,and self-rating depression scale scores(P<0.05).CONCLUSION The HCH-CHM model had a significant positive effect on high-risk stroke populations,effectively increasing disease awareness,improving health behavior and medication adherence,and appropriately ameliorating blood pressure,serum biochemical marker levels,and negative psychological symptoms.
基金supported by the Ministry of Science and Higher Education of the Russian Federation(no.FENW-2023-0008)the Strategic Academic Leadership Program of Southern Federal University,known as“Priority 2030”.
文摘The digital revolution in agriculture has introduced data-driven decision-making,where artificial intelligence,especially machine learning(ML),helps analyze large and varied data sources to improve soil quality and crop growth indices.Thus,a thorough evaluation of scientific publications from 2007 to 2024 was conducted via the Scopus and Web of Science databases with the PRISMA guidelines to determine the realistic role of ML in soil health and crop improvement under the SDGs.In addition,the present review focused to identify and analyze the trends,challenges,and opportunities associated with the successful implementation of ML in agriculture.The assessment of various databases clearly revealed that ML implementation depends on crop management,while its limited potential in terms of soil health was explored.ML models,such as random forest and XGBoost,have demonstrated high accuracies of up to 99%in crop yield prediction and disease detection.Advanced ML frameworks,including the SHIDS-ADLT and EfficientNetB3,have improved soil health monitoring and plant disease classification.Irrigation management using ML has achieved over 50%water savings and irrigation efficiency by 10%-35%.These findings highlight the potential of ML to improve sustainable agricultural practices and soil health.A significant improvement discussed in this review is AutoML,which simplifies ML model implementation by automating feature selection,model selection,and hyperparameter tuning,reducing dependency on ML expertise.The integration of ML with remote sensing,Internet of Things(IoT),and big data analytics is expected to further transform the precision agriculture and real-time decisionmaking approaches to optimize resource utilization.Conclusively,the present review offers a quantitative perspective on the evolution of ML in agriculture,soil health management,crop yield prediction,and resource optimization.
基金funded by the National Natural Science Foundation of China(72204006).
文摘Objectives:This study aimed to describe the development process of the peer precision-matching and health management mobile platform"Aspark"for people living with human immunodeficiency virus(HIV)(PLWH)and to evaluate its usability.Methods:The study assembled a multidisciplinary research and development team comprising researchers,software engineers,art designers,clinical nursing specialists,HIV peer volunteers,and psychological counselors.The team employed an agile development model to iteratively build the platform.Using the social determinants of health framework and the interpersonal circumplex,we identified 14 matching variables for the mobile platform.A video production team was formed to create peer training videos on health management for PLWH.We integrated relevant tools to provide PLWH with various types of support,including informational,instrumental,emotional,affiliational,and appraisal assistance.From March to May 2024,the research team used convenience sampling to select 130 platform users.It administered an electronic questionnaire based on the System Usability Scale to evaluate the platform's overall usability.Results:The platform incorporates multiple functional modules,including"Precision Matching,""Drug Interaction Query,""Medication Reminder,""Health Management,""Mood Diary,""Community Discussion,"and"Activity Center,"achieving comprehensive coverage across informational,emotional,instrumental,social,and appraisal support.The precision matching module facilitates intelligent pairing between patients and peer volunteers;the health management module allows for the entry of test results and trend analysis;medication reminders and check-in features enhance medication adherence;the mood diary supports emotional recording and expressive writing;while the community module offers functions such as topic discussions,appointment scheduling,and organization of offline activities.Among the 130 valid questionnaires,more than 83%of users scored above 68 on the System Usability Scale,indicating that the platform demonstrates favourable usability.Conclusions:The"Aspark"platform offers a feasible and promising digital solution for precision matching in HIV peer support and health management,enabling healthcare providers to deliver personalized and continuous health support to patients through its functions.Well-designed clinical trials should be conducted in the future to evaluate the effectiveness of this tool.
文摘Objective:To investigate the impact of programmed harmonious nursing combined with hierarchical management on nursing quality and satisfaction in a health management center.Methods:A total of 100 patients who received care at this health management center from January 2024 to January 2025 were selected as subjects.Using a random number table method,they were divided into an observation group(n=50)and a control group(n=50).The control group followed traditional methods,while the observation group integrated programmed harmonious nursing with hierarchical management.Comparative analysis was conducted on nursing quality scores,adverse event occurrence rates,and patient satisfaction between the two groups.Results:The observation group showed significantly improved nursing quality scores(P<0.05)and markedly reduced incidence of adverse events(P<0.05),with statistically significant differences compared to pre-treatment conditions(P<0.05).Conclusion:The combination of hierarchical management and programmed harmonious nursing demonstrates effectiveness in enhancing medical service quality,reducing adverse reactions,and improving patient satisfaction—a method worthy of promotion.
文摘Objective: The health-related quality of life (HRQoL) theory was used to assess the health quality of elderly residents in Southwest China. This was done by using the European Five-Dimensional Health Scale in a comprehensive manner and by analysing the factors influencing it. The findings will provide new perspectives and ideas for improving the health-related quality of life of the elderly population and enhancing the precise health management of elderly residents. Methods: The response data of 1892 elderly residents in southwestern China were included in the analysis based on the CLHLS data. The factors influencing the occurrence of problems, EQ-VAS scores and health utility values were analysed by logistic regression, multiple linear regression and Tobit regression, respectively. Results: The primary health concerns among the elderly population in the Southwest region were limited ability to perform daily activities and pain or discomfort. These individuals exhibited an EQ-VAS self-assessment score of 66.51 ± 14.87 and a health utility value of 0.87 (0.70, 1.00). Gender, age, regular medical check-ups, exercise habits and the prevalence of chronic diseases are the main influencing factors. Conclusions: The health quality of elderly people in Southwest China needs to be improved, and a comprehensive management strategy can be adopted in terms of lifestyle management, health needs management and disease management to improve the quality of their healthy lives and promote the development of healthy ageing.
文摘Objective: To analyze the clinical effects of the patient participation health model in the health management of type 2 diabetes mellitus. Methods: A total of 124 patients with type 2 diabetes admitted to the hospital from June 2023 to June 2024 were randomly assigned to either the control group (64 patients) or the intervention group (60 patients). Patients in the control group received routine health management, while those in the intervention group were managed using a patient-participation health model with progressive, stage-based interventions. Outcomes were assessed based on blood glucose control, disease awareness, and self-management behaviors. Adverse reactions during health management were closely monitored in both groups. Results: Patients in the intervention group showed significantly better outcomes in blood glucose control, disease awareness, and self-management behaviors compared to the control group. Conclusion: The patient participation health model demonstrated significant clinical value, effectively enhancing self-management abilities, improving glycemic control, and increasing disease awareness. This model is recommended for widespread adoption in the health management of type 2 diabetes to achieve better therapeutic outcomes and improve patient quality of life.
文摘At the current stage,China’s medical and health industry is constantly developing,and it is essential to fully attach importance to the core role of Centers for Disease Control and Prevention(CDC).For tertiary hospitals,one of their key work tasks is to carry out public health management.Based on this,this paper mainly expounds on some basic problems existing in the public health management of state-owned hospitals at the current stage,and puts forward corresponding countermeasures for the identified problems.These countermeasures include enhancing the emphasis on public health management,strengthening the intensity of medical management,effectively improving the allocation of medical management resources,and intensifying the training of relevant personnel.This paper aims to provide references for improving the level of hospital public health management.
文摘[Objectives] To investigate and analyze the physical examination status of the staff in an agricultural university in Tianjin,to understand the composition of the diseases suffered by the staff in the university,and to provide the basis for the formulation of health education programs and health management countermeasures.[Methods] A comprehensive physical examination survey was conducted among 377 teachers and staff in the school,and the results were statistically analyzed by SPSS 24.0.[Results] The detection rates of diseases among the staff of a university in Tianjin were 161(42.7%)overweight and obesity,167(44.3%)dyslipidemia,250(66.31%)thyroid nodules,214(56.76%)fatty liver,116(30.77%)hyperglycemia,96(25.46%)hypertension,90 cases(23.87%)had abnormal ECG,and the prevalence rate increased with age.[Conclusions] The health status of the staff in a university in Tianjin is not optimistic.They should strengthen health education and health care guidance,increase sports and physical exercise,actively do a good job in early diagnosis,treatment and prevention of diseases,and improve their health level.
基金co-supported by the National Natural Science Foundation of China(Nos.U223321251875014)+1 种基金the Beijing Natural Science Foundation,China(No.L221008)the China Scholarship Council(No.202106020001).
文摘Current research on Digital Twin(DT)based Prognostics and Health Management(PHM)focuses on establishment of DT through integration of real-time data from various sources to facilitate comprehensive product monitoring and health management.However,there still exist gaps in the seamless integration of DT and PHM,as well as in the development of DT multi-field coupling modeling and its dynamic update mechanism.When the product experiences long-period degradation under load spectrum,it is challenging to describe the dynamic evolution of the health status and degradation progression accurately.In addition,DT update algorithms are difficult to be integrated simultaneously by current methods.This paper proposes an innovative dual loop DT based PHM framework,in which the first loop establishes the basic dynamic DT with multi-filed coupling,and the second loop implements the PHM and the abnormal detection to provide the interaction between the dual loops through updating mechanism.The proposed method pays attention to the internal state changes with degradation and interactive mapping with dynamic parameter updating.Furthermore,the Independence Principle for the abnormal detection is proposed to refine the theory of DT.Events at the first loop focus on accurate modeling of multi-field coupling,while the events at the second loop focus on real-time occurrence of anomalies and the product degradation trend.The interaction and collaboration between different loop models are also discussed.Finally,the Permanent Magnet Synchronous Motor(PMSM)is used to verify the proposed method.The results show that the modeling method proposed can accurately track the lifecycle performance changes of the entity and carry out remaining life prediction and health management effectively.
文摘In recent years,a number of intelligent algorithm have been proposed for forecasting the lithium-ion battery state of health(SOH).Due to the varying specifications and operating conditions of batteries,it is difficult to anticipate the health condition of lithium battery as it begins to deteriorate.There are still few studies on health state prediction models for different types of batteries.In this paper,40 battery data from 5 public datasets are selected to carry out research,and a model architecture consisting of Denoising Autoencoder and Transformer is designed.One or two types of battery packs are identified as the source domain,and multiple types of battery packs are identified as the target domain.By employing Maximum Mean Discrepancy(MMD)on the Transformer architecture,the source and target domains were evaluated and found to converge as training continued.Finally,29 transfer learning combination tasks were constructed.Results show that the model built with two kinds of batteries as the target domain has the best prediction accuracy and excels in prediction and is versatile in its application.The experimental results also reveal that this study provides a promising tool for predicting Lithium-ion batteries’SOH and strives to build a generalized model of the Lithium-ion batteries’SOH indicators.
文摘One in five Americans experience symptoms associated with at least one mental health disorder every year. These include behavioral addictions, which have long been overlooked despite their similar neural bases with substance addictions. Gambling addiction, a type of behavioral addiction, deserves particular attention given the significant negative effects, this addiction has on financial and interpersonal health. The purpose of this paper is to review the available literature concerning the behavioral and neural processes involved in gambling addiction, including: the anticipation of reward, the role of dopamine, and the neural substrates of the decision-making processes involved in gambling addiction. Market research has also identified solutions that integrate applied neuroscience and self-tracking systems to monitor and manage mental health issues associated with gambling addiction. The authors then propose a gambling treatment-focused mobile app solution that addresses outstanding issues with a special design aimed at reversing plasticity in order to relieve the effects of gambling addiction. .
文摘Objective: By the end of 2021, the aging rate of China’s population is 18.9%, and the prevalence rate of chronic diseases in the elderly population is increasing year by year, and chronic diseases have become the main causes of death and health threats of Chinese residents. Therefore, how to manage this huge group well is crucial. This paper analyzes the value of health education in the process of health management for patients with chronic diseases. Methods: 102 patients with chronic diseases treated from January 2021 to December 2021 were divided into control group and experimental group by random number table method. The control group was given routine health management while the experimental group was given health education based on the control group, and the implementation effect was analyzed. Results: After management, the scores of chronic disease knowledge in the experimental group were significantly higher than those in the control group, and the dimensions of ESCA were higher than those in the control group, and P < 0.05;Conclusion: The implementation of health education in the process of chronic disease health management is helpful to improve patients’ self-care ability and better control disease progression.
基金Shaanxi Provincial People’s Hospital Internal Incubation Fund(2022HL-10)Shaanxi Provincial People’s Hospital Science and Technology Development Incubation Fund(2023HL-11)。
文摘Objective:The purpose of this study is to investigate the application of Chinese and Western medicine in the health management of school-age children with asthma and its research progress,with a view to providing a more comprehensive and effective management strategy for the clinic.Methods:Using the method of literature review,this study systematically searched and analyzed the relevant studies on the combination of Chinese and Western medicine in the health management of school-aged children with asthma in recent years,focusing on Chinese medicine treatment,Western medicine treatment,and the combined health management of Chinese and Western medicine.Results:Chinese medicine treatment,Western medicine treatment,and the health management mode of combining Chinese and Western medicine showed unique advantages in school-age asthmatic children.Through the comprehensive use of Chinese medicine’s diagnosis and treatment,Chinese medicine conditioning,Chinese medicine characteristic therapy,and Western medicine’s modern medical methods,it not only effectively relieved asthma symptoms but also significantly improved the quality of life of the children.At the same time,this management mode also focuses on the psychological guidance and family care of the children,forming an all-round and multi-level health management system.Conclusion:The health management strategy of combining Chinese and Western medicine has a broad application prospect in school-age asthmatic children,and its specific interventions and mechanisms of action should be further studied to provide more scientific and systematic guidance for clinical practice.
文摘Objective: To analyze the effect of health management on improving the awareness rate of disease prevention and treatment in patients with prehypertension, so as to provide guidance for clinical management of patients with prehypertension. Methods: 108 patients diagnosed with prehypertension in our hospital were divided into a control group and an experimental group. The control group was not given management measures, while the experimental group was given health management. The incidence of hypertension and cognition level of hypertension knowledge were compared between the two groups after management. Results: The incidence of hypertension in the experimental group was 7.41% lower than that in the control group 29.63%. The cognitive level of hypertension in the patients (66.54 ± 1.25) was significantly higher than that in the patients without health management (41.45 ± 2.45), and P < 0.05;Conclusion: For patients with prehypertension, the implementation of health management is helpful to improve their cognition of hypertension, master related prevention knowledge, and reduce the incidence of hypertension.
文摘Objective:To observe the clinical effects of detail-oriented nursing in health checkups at a health management center.Methods:A total of 240 individuals undergoing health checkups at the hospital’s health management center from June 2023 to June 2024 were enrolled and randomly divided into two groups according to a random number table method.The control group received routine nursing care,while the observation group received detail-oriented nursing care,with 120 cases in each group.Differences in checkup quality and nursing risk incidence were compared.Results:The form submission rate,project completion rate,and one-time checkup completion rate in the observation group were higher than those in the control group,while the checkup time was shorter(P<0.05).The incidence of nursing risks such as item loss,falls,and patient-nurse disputes was lower in the observation group compared to the control group(P<0.05).Conclusion:Applying detail-oriented nursing in health checkups at a health management center can effectively improve checkup quality and reduce the occurrence of nursing risks.
文摘On October 18,2017,the 19th National Congress Report called for the implementation of the Healthy China Strategy.The development of biomedical data plays a pivotal role in advancing this strategy.Since the 18th National Congress of the Communist Party of China,China has vigorously promoted the integration and implementation of the Healthy China and Digital China strategies.The National Health Commission has prioritized the development of health and medical big data,issuing policies to promote standardized applica-tions and foster innovation in"Internet+Healthcare."Biomedical data has significantly contributed to preci-sion medicine,personalized health management,drug development,disease diagnosis,public health monitor-ing,and epidemic prediction capabilities.
基金supported by the National Natural Science Foundation of China for Distinguished Young Scholars(Grant No.42225206)National Natural Science Foundation of China(42207180,42477209,42302320).
文摘Subgrade engineering is a fundamental aspect of infrastructure construction in China.As the primary structural element responsible for bearing and distributing traffic loads,the subgrade must not only withstand the substantial pressures exerted by vehicles,trains,and other forms of transportation,but also efficiently transfer these loads to the underlying foundation,ensuring the stability and longevity of the roadway.In recent years,advancements in subgrade engineering technology have propelled the industry towards smarter,greener,and more sustainable practices,particularly in the areas of intelligent monitoring,disaster management,and innovative construction methods.This paper reviews the application and methodologies of intelligent testing equipment,including cone penetration testing(CPT)devices,soil resistivity testers,and intelligent rebound testers,in subgrade engineering.It examines the operating principles,advantages,limitations,and application ranges of these tools in subgrade testing.Additionally,the paper evaluates the practical use of advanced equipment from both domestic and international perspectives,addressing the challenges encountered by various instruments in realworld applications.These devices enable precise,comprehensive testing and evaluation of subgrade conditions at different stages,providing real-time data analysis and intelligent early warnings.This supports effective subgrade health management and maintenance.As intelligent technologies continue to evolve and integrate,these tools will increasingly enhance the accuracy,efficiency,and sustainability of subgrade monitoring.
基金supported by the National Natural Science Foundation of China (Nos. 62450056 and 62233017).
文摘1. Introduction Prognostics, known as ‘Remaining Useful Life(RUL) prediction', plays a crucial role in health management of critical systems, which is vital for maintaining the operating safety and reliability, and reducing the management costs.1Here, the RUL is usually defined as the length from the current time to the end of the useful life.
文摘Dear Editor,This letter presents a latent-factorization-of-tensors(LFT)-incorporated battery cycle life prediction framework.Data-driven prognosis and health management(PHM)for battery pack(BP)can boost the safety and sustainability of a battery management system(BMS),which relies heavily on the quality of the measured BP data like the voltage(V),current(I),and temperature(T).
