The Role of Impulsivity and Addiction in Gambling Behaviors: How Applied Neuroscience Research Can Help in the Monitoring and Management of Mental Health Issues

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. .

Observation on the Effect of Health Education in Health Management of Chronic Disease Patients

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.

Effect of Health Management in Raising Awareness Rate of Disease Prevention and Treatment in Patients with Prehypertension

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.

Research Progress in Integrated Chinese and Western Medicine Health Management for School-Age Children with Asthma

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.

Observation of the Clinical Effects of Detailoriented Nursing in Health Checkups at a Health Management Center

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.

Health management based on fusion prognostics for avionics systems

Health management permits the reliability of a system and plays a increasingly important role for achieving efficient system-level maintenance.It has been used for remaining useful life（RUL） prognostics of electronics-rich system including avionics.Prognostics and health management（PHM） have become highly desirable to provide avionics with system level health management.This paper presents a health management and fusion prognostic model for avionics system,combining three baseline prognostic approaches that are model-based,data-driven and knowledge-based approaches,and integrates merits as well as eliminates some limitations of each single approach to achieve fusion prognostics and improved prognostic performance of RUL estimation.A fusion model built upon an optimal linear combination forecast model is then utilized to fuse single prognostic algorithm representing the three baseline approaches correspondingly,and the presented case study shows that the fusion prognostics can provide RUL estimation more accurate and more robust than either algorithm alone.

Effects of WeChat platform-based health management on health and self-management effectiveness of patients with severe chronic heart failure

BACKGROUND Epidemiological studies have found that the prevalence of chronic heart failure in China is 0.9%,the number of people affected is more than 4 million,and the 5-year survival rate is even lower than that of malignant tumors.AIM To determine the impact of WeChat platform-based health management on severe chronic heart failure patients’health and self-management efficacy.METHODS A total of 120 patients suffering from chronic heart failure with cardiac function grade III-IV,under the classification of the New York Heart Association,were admitted to our hospital in May 2017.In January 2020,they were divided into two groups:A control group(with routine nursing intervention)and an observation group(with WeChat platform-based health management intervention).Changes in cardiac function,6-min walking distance(6MWD),high-sensitivity cardiac troponin(hs-cTnT),and N-terminal pro B-type natriuretic peptide(NT-proBNP)were detected in both groups.The Self-Care Ability Scale(ESCA)score,Minnesota Living with Heart Failure Questionnaire score,and compliance score were used to evaluate self-management ability,quality of life,and compliance of the two groups.During a follow-up period of 12 mo,the occurrence of cardiovascular adverse events in both the groups was counted.RESULTS The left ventricular ejection fraction,stroke output,and 6MWD increased,and the hs-cTnT and NT-proBNP decreased in both the groups,as compared to those before the intervention.Further,cardiac function during the 6MWD,hs-cTnT,and NT-proBNP improved significantly in the observation group after intervention(P<0.05).The scores of self-care responsibility,self-concept,self-care skills,and selfcare health knowledge in the observation group were higher than those of the control group before intervention,and their ESCA scores were significantly improved after intervention(P<0.05).The Minnesota heart failure quality of life(LiHFe)scores of physical restriction,disease symptoms,psychological emotion,social relations,and other items were decreased compared to those of the control group before intervention,and the LiHFe scores of the observation group were significantly improved compared to those of the control group(P<0.05).With intervention,the compliance scores of rational diet,regular medication,healthy behavior,and timely reexamination were increased,thereby leading to the compliance scores of the observation group being significantly improved compared to those of the control group(P<0.05).During the 12 mo follow-up,the incidence rates of acute myocardial infarction and cardiogenic rehospitalization in the observation group were lower than those of the control group,and the hospitalization time in the observation group was shorter than that of the control group,but there was no significant difference between the two groups(P>0.05).CONCLUSION WeChat platform-based health management can improve the self-care ability and compliance of patients with severe chronic heart failure,improve the cardiac function and related indexes,reduce the occurrence of cardiovascular adverse events,and enable the avoidance of rehospitalization.

Optimization of dynamic sequential test strategy for equipment health management

Testing is the premise and foundation of realizing equipment health management （EHM）. To address the problem that the static periodic test strategy may cause deficient test or excessive test, a dynamic sequential test strategy （DSTS） for EHM is presented. Considering the situation that equipment health state is not completely observable in reality, a DSTS optimization method based on partially observable semi-Markov decision pro- cess （POSMDP） is proposed. Firstly, an equipment health state degradation model is constructed by Markov process, and the control limit maintenance policy is also introduced. Secondly, POSMDP is formulated in great detail. And then, POSMDP is converted to completely observable belief semi-Markov decision process （BSMDP） through belief state. The optimal equation and the corresponding optimal DSTS, which minimize the long-run ex- pected average cost per unit time, are obtained with BSMDP. The results of application in complex equipment show that the proposed DSTS is feasible and effective.

Boosting battery state of health estimation based on self-supervised learning

State of health(SoH) estimation plays a key role in smart battery health prognostic and management.However,poor generalization,lack of labeled data,and unused measurements during aging are still major challenges to accurate SoH estimation.Toward this end,this paper proposes a self-supervised learning framework to boost the performance of battery SoH estimation.Different from traditional data-driven methods which rely on a considerable training dataset obtained from numerous battery cells,the proposed method achieves accurate and robust estimations using limited labeled data.A filter-based data preprocessing technique,which enables the extraction of partial capacity-voltage curves under dynamic charging profiles,is applied at first.Unsupervised learning is then used to learn the aging characteristics from the unlabeled data through an auto-encoder-decoder.The learned network parameters are transferred to the downstream SoH estimation task and are fine-tuned with very few sparsely labeled data,which boosts the performance of the estimation framework.The proposed method has been validated under different battery chemistries,formats,operating conditions,and ambient.The estimation accuracy can be guaranteed by using only three labeled data from the initial 20% life cycles,with overall errors less than 1.14% and error distribution of all testing scenarios maintaining less than 4%,and robustness increases with aging.Comparisons with other pure supervised machine learning methods demonstrate the superiority of the proposed method.This simple and data-efficient estimation framework is promising in real-world applications under a variety of scenarios.

An Edge-Fog-Cloud Computing-Based Digital Twin Model for Prognostics Health Management of Process Manufacturing Systems

The prognostics health management(PHM)fromthe systematic viewis critical to the healthy continuous operation of processmanufacturing systems(PMS),with different kinds of dynamic interference events.This paper proposes a three leveled digital twinmodel for the systematic PHMof PMSs.The unit-leveled digital twinmodel of each basic device unit of PMSs is constructed based on edge computing,which can provide real-time monitoring and analysis of the device status.The station-leveled digital twin models in the PMSs are designed to optimize and control the process parameters,which are deployed for the manufacturing execution on the fog server.The shop-leveled digital twin maintenancemodel is designed for production planning,which gives production instructions fromthe private industrial cloud server.To cope with the dynamic disturbances of a PMS,a big data-driven framework is proposed to control the three-level digital twin models,which contains indicator prediction,influence evaluation,and decisionmaking.Finally,a case study with a real chemical fiber system is introduced to illustrate the effectiveness of the digital twin model with edge-fog-cloud computing for the systematic PHM of PMSs.The result demonstrates that the three-leveled digital twin model for the systematic PHM in PMSs works well in the system’s respects.

Deep neural network based classification of rolling element bearings and health degradation through comprehensive vibration signal analysis

Rolling element bearings are machine components used to allow circular movement and hence deliver forces between components of machines used in diverse areas of industry.The likelihood of failure has the propensity of increasing under prolonged operation and varying working conditions.Hence, the accurate fault severity categorization of bearings is vital in diagnosing faults that arise in rotating machinery.The variability and complexity of the recorded vibration signals pose a great hurdle to distinguishing unique characteristic fault features.In this paper, the efficacy and the leverage of a pre-trained convolutional neural network(CNN) is harnessed in the implementation of a robust fault classification model.In the absence of sufficient data, this method has a high-performance rate.Initially, a modified VGG16 architecture is used to extract discriminating features from new samples and serves as input to a classifier.The raw vibration data are strategically segmented and transformed into two representations which are trained separately and jointly.The proposed approach is carried out on bearing vibration data and shows high-performance results.In addition to successfully implementing a robust fault classification model, a prognostic framework is developed by constructing a health indicator(HI) under varying operating conditions for a given fault condition.

Preventive online and offline health management intervention in polycystic ovary syndrome

BACKGROUND Polycystic ovary syndrome(PCOS) is characterized by hyperandrogenism, hyperinsulinemia, ovarian polycystic changes, and irregular ovulation, often occurring in women of childbearing age for whom it can be a cause of infertility. Hypothalamus-pituitary-ovarian axis dysregulation is important in the pathogenesis of PCOS and the associated chronic excess of sex hormones can lead to cardiovascular and cerebrovascular diseases, diabetes, and malignancies such as endometrial cancer, and breast cancer. At present, most scholars agree that lifestyle interventions in conjunction with drug treatment can help PCOS patients achieve their goals of successful pregnancy and childbirth.AIM To investigate the clinical effect of an online and offline(O2O) preventive health management model on PCOS with kidney deficiency and phlegm dampness.METHODS A total of 82 patients with PCOS of the kidney deficiency and phlegm dampness type who were admitted to Beijing Luhe Hospital Affiliated to Capital Medical University from April 2019 to June 2020 were randomly divided into two groups. The treatment group was treated with oral Diane-35 for 3 mo and received preventive O2O medical health management for 6 mo(including eating and living, exercise, drug management). The control group was treated with oral Diane-35 for 3 mo and completed outpatient health education. The traditional Chinese medicine(TCM) syndrome score, acne score, hair score, sex hormone level and clinical effects were compared between the two groups before and after the intervention. RESULTS After treatment, the TCM syndrome score, acne score, and serum luteinizing hormone/follicle stimulating hormone level were significantly lower in the treatment group than in the control group(P < 0.05). After 3 mo of treatment, the TCM syndrome curative effect index in the treatment group was 97.30% compared to 54.05% in the control group(P < 0.05), whereas the total treatment effect in the treatment group was 91.89%, compared to 54.05% in the control group(P < 0.05).CONCLUSION An integrated therapeutic approach incorporating medication, TCM methods and social media is more effective than standard treatment for PCOS.

Looking ahead to significant improvements in mining safety and health through innovative research and effective diffusion into the industry

Mining safety and health improvements over the past decades are remarkable by many metrics, and yet the expectation of society, and the goal of the mining industry, is zero harm. If we examine the underlying enablers for the significant gains that have been achieved, the key role that research to help understand the causes of problems and to develop lasting solutions is clear. Many of the remaining challenges have been resistant to solutions by various approaches. Some, such as fatalities and injuries from ground control or powered haulage are prominent year after year. Different approaches are indicated and new solutions will be required if we are to achieve a goal of zero harm. These will originate with research, but into which topics, and what are some of these different approaches? This paper examines the current state of mine safety in the United States and highlights areas of significant opportunity for research that will lead to solutions. The likely direction of research that will enable realization of the ‘‘zero harm'' goal is described in terms of evolutionary and revolutionary approaches. Both are important, but the author's view is that some of the largest gains will be made with trans-disciplinary approaches that break from the past. Topical areas of research are suggested and several research questions are given to illustrate the direction of future research in mining safety and health.

Satisfaction of Village Doctors with the Township and Village Health Services Integration Policy in the Western Minority-inhabited Areas of China

Township and Village Health Services Integration Management（TVHSIM） is an essential form of China＇s two-tiered health service integration plan at the township and village level. Its main purpose, also one of the target goals in China＇s new healthcare reform, is to gradually integrate rural health services and appropriately allocate rural health resources. This study aims to assess the village doctors＇ satisfaction with the TVHSIM and provide scientific base to further improve TVHSIM. A cross-sectional study was carried out in which 162 village doctors from Qinghai, Inner Mongolia and Xinjiang in western China were interviewed. Descriptive analysis, independent t-test, one-way ANOVA, Spearman rank correlation and multiple linear regression were used to analyze the difference and relevance between village doctors＇ personal characteristics and their satisfaction with TVHSIM and six subscales. Village doctors with different years of practice, social insurance status and essential medical knowledge level showed statistically significant differences in their satisfaction levels（all P〈0.05）. Age（P〈0.05） and years of practice（P〈0.01） were negatively correlated with Drug and Medical Device Management and Financing Management. Essential medical knowledge level（P〈0.05） was negatively correlated with Operations Management as well. However, social insurance status（P〈0.05） was positively correlated with Human Resources Management and Drug and Medical Device management. Gender, age and years of practice respectively had significant influence on village doctors＇ satisfaction with TVHSIM（P〈0.01）. In conclusion, in order to further promote TVHSIM policy in rural China, a well-rounded social insurance model for village doctors is urgently needed. In addition, the development of TVHSIM is regionally imbalanced. Efficient and effective measures aiming at rationalizing gender and age structure and enhancing essential medical training should be carefully considered.

The Application of Layered Progressive Teaching Method in Nursing Teaching of Health Management Centre

Objective:To explore the clinical effect of the layered progressive teaching method in the process of nursing teaching in the health management centre.Methods:100 nursing students in the health management centre of our hospital were randomly divided into two groups from April 2018 to April 2019,in which students of the control group were treated with routine teaching,while those of the experimental group were treated with layered progressive teaching.Then,the teaching effect of the two groups was compared and analysed.Results:The assessment results of nursing students in the two groups were compared,in which the theoretical knowledge scores and practical operation scores of nursing students in the experimental group were(94.34±2.33)and(90.45±2.20)respectively.By contrast,the score of students in the control group was lower and the difference between the two groups was not significant(P<0.50).The teaching effect of students in the experimental group is more significant.Conclusion:During the process of nursing teaching in the Health Management Centre,the progressive teaching method showed a significant clinical effect and could effectively enhance students’scores.Therefore,it is positively significant for clinical development.

Overview of the Importance of Intelligent Approaches on Machinery Faults Diagnosis and Prediction Based on Prognostic and Health Management/Condition-Based Maintenance

Condition monitoring is increasingly used to anticipate and detect failures of industrial machines.Failures of machines can cause high maintenance or replacement costs.If neglected,it may result in catastrophic accidents leading to production shrinkage.The potential failure would negatively affect the profitability of the company,including production shut down,cost of spare parts,cost of labor,damage of reputation,risk of injury to people and the environment.In recent years,condition-based maintenance( CBM) and prognostic and health management( PHM) are developed and formed a strong connection among science,engineering,computer,reliability,communication,management,etc.Computerized maintenance management systems( CMMS) store a lot of data regarding the fault diagnosis and life prediction of the machinery equipment.It's too necessary to uncover useful knowledge from the huge amount of data.It's vital to find the ways to obtain useful and concise information from these data.This information can be of great influence in the decision making of managers.This article is a review of intelligent approaches in machinery faults diagnosis and prediction based on PHM and CBM.

Applying healthcare failure mode and effect analysis to patient pain management in the anesthesia recovery period

Objective： To standardize pain management in the anesthesia recovery period and improve the effects of analgesia on acute postoperative pain. Methods： Using healthcare failure mode and effect analysis （HFMEA）, we analyzed the primary cause of patients＇ pain and subsequently determined the process and risk priority number （RPN）. Results： Actions were taken to improve patients＇ pain. After using HFMEA, the experimental group＇s visual analog scale （VAS） scores were lower than those of the control group at 1 h and at discharge from the post-anesthetic intensive care unit （PAICU）. The differences were statistically significant （P 〈 0.05）. Conclusions： The application of failure mode and effect analysis can relieve pain and improve the quality of nursing.

China-UK partnership for global health:practices and implications of the Global Health Support Programme 2012-2019

Background:Over the past few decades,a series of major challenges to global health have successively emerged,which call for China’s deeper engagement in global health governance.In this context,the China-UK Global Health Support Programme(GHSP)was launched in 2012 with about 12 million pounds funded by the United Kingdom.Objectives:The GHSP was expected to explore a new type of China-UK partnership to strengthen the cooperation in global health,and enhance China’s capacity to engage in global health governance and provide effective development assistance in health(DAH),in order to jointly improve global health outcomes.Programme design and implementation:The GHSP was programmed to support capacity building activities in Chinese experience distillation,DAH,global health governance and pilot partnership at national and institutional levels between October 2012 and March 2019.These activities were assigned to different project implementing agencies(PIAs)and their project cooperative agencies(PCAs)or pilot areas,and were then implemented under the guidance and management by the strategic oversight committee and the project management office of GHSP respectively.Main achievements:At the national level,the GHSP held five rounds of China-UK high-level dialogues,conducted studies on China Global Health Strategies to provide robust evidence for developing and issuing relevant national policies,and supported the establishment of the China Global Health Network.At the institutional level,the GHSP funded a series of activities in research,training,international exchange and pilots etc.,produced a large number of high-quality research outputs and policy briefings,cultivated a group of PIAs and individual researchers,facilitated the partnership building between the PIAs and PCAs,enhanced the practical ability of Chinese institutions to conduct overseas DAH,and improved the health service delivery and outcomes in pilot areas of three Asian and African countries.Policy implications:In the GHSP,China and UK have established a good model for North-South Cooperation and the programme facilitated the 2030 Agenda for Sustainable Development by building a new type of bilateral partnership and carrying out triangular cooperation practices.This model has demonstrated huge potential for cooperation through partnership and can also be referred to by other countries to develop bilateral partnerships.

关于微信Health Manager公众号用户情况的数据分析

目的随着Health Manager公众号的开通运营,关注量和浏览量日益增加。人们对于健康有了更多的忧虑,对于健康知识有了更大的需求,我们作为健康信息传播类的公众号,不定期推送健康方面的相关内容,尽可能满足用户的需求体验。本文通过分析Health Manager公众号运营情况,了解大众对于具体推文内容的偏好、推文内容获取途径和用户性别等数据,发现目前存在的问题并且寻求对应的改进策略,从而更好的为用户提供服务,更好地发挥健康传播类媒介的作用,提高国民健康水平。方法平台272名用户的使用情况数据反馈。结果从用户分析来看,新增用户278人,去掉6人,净增272人,累计272人,主要集中于浙江、广东、江西等地区。结论Health manager服务平台微信公众号具有推广价值。

Battery prognostics and health management for electric vehicles under industry 4.0

Transportation electrification is essential for decarbonizing transport. Currently, lithium-ion batteries are the primary power source for electric vehicles (EVs). However, there is still a significant journey ahead before EVs can establish themselves as the dominant force in the global automotive market. Concerns such as range anxiety, battery aging, and safety issues remain significant challenges.