Pathological mechanism of immune disorders in diabetic kidney disease and intervention strategies

Diabetic kidney disease is one of the most severe chronic microvascular complications of diabetes and a primary cause of end-stage renal disease.Clinical studies have shown that renal inflammation is a key factor determining kidney damage during diabetes.With the development of immunological technology,many studies have shown that diabetic nephropathy is an immune complex disease,and that most patients have immune dysfunction.However,the immune response associated with diabetic nephropathy and autoimmune kidney disease,or caused by ischemia or infection with acute renal injury,is different,and has a complicated pathological mechanism.In this review,we discuss the pathogenesis of diabetic nephropathy in immune disorders and the intervention mechanism,to provide guidance and advice for early intervention and treatment of diabetic nephropathy.

Literary Reading Intervention Strategies for Adolescents with Depression

Teenagers are in the special stage of physical and mental development,and their psychological problems show complex and diverse characteristics.Depression is the most common mental disorder among teenagers.Literary reading has a certain intervention effect on depression and can be used as an important strategy for psychological intervention.Reading literature works can help teenagers understand and discover themselves from different angles,and then realize the self-recognition and intervention of depression.This paper mainly discusses the causes of depression in teenagers and the intervention principles and strategies of literary reading on depression,aiming to alleviate and eliminate the depressive symptoms of teenagers through literary reading and promote their physical and mental health development.

Targeting Gut Microbiota Dysbiosis: Potential Intervention Strategies for Neurological Disorders

It is well known that the gut microbiota plays an extremely important role in modulating host physiological functions such as immunity and metabolic homeostasis.In recent years,accumulated evidence has revealed that the gut microbiota can regulate the functions of the central nervous system(CNS)through the gut-brain axis,which provides a novel insight into the interactions between the gut and brain.This review focuses on the molecular mechanism of the crosstalk between the gut microbiota and the brain via the gut-brain axis,and on the onset and development of neurological disorders triggered by gut microbiota dysbiosis.These topics are followed by a critical analysis of potential intervention strategies targeting gut microbiota dysbiosis,including the use of probiotics,prebiotics,synbiotics,and diets.While research on the microbiota-gut-brain axis is still in its relative infancy,clarifying the molecular mechanism that underlies how the gut microbiota regulates neurological functions not only holds the promise of revealing potentially novel pathogeneses of neurological disorders,but also may lead to the development of potential diagnosis biomarkers and intervention strategies targeting microbiota dysbiosis for neurological disorders.

Intervention Strategies of Excessive Masturbation for a 19-Years Youth: Experience of Counseling Intervention

Introduction: Excessive masturbation has for long been reported to affect youths with intervention strategies to intervene with this problem remaining unclear. This study aimed at determining the underlying factors for excessive masturbation, its effects and intervention strategies used. Methods: This was a case study design for a youth aged 19 years;affected by excessive masturbation. Data were collected through individual counseling and intervention. It involved 15 counseling sessions which were run in nine months in a three weeks interval. The sessions involved narration and exploration of the causes and effects of masturbation. Counseling intervention was built in a vicious circle. Results: Several factors, effects and intervention strategies were identified, reported and discussed in this study. Main causes were such as stories from friends and pornographic videos. Effects were multiple risk behaviors and health problems. Counseling model for individual was developed. Conclusion: The study indicates that there are multiple causes and effects of excessive masturbation. Since masturbation is secretly done, the effects are not widely known to many people. Most of these effects are long-term which affects a person psychologically, physically, socially and morally.

Early Intervention Facilitates Neuropsychological Development in Children with Autism and Attention Deficit Hyperactivity Disorder

Objective:This study aims to investigate the impact of early intervention on neuropsychological development in children with autism and attention deficit hyperactivity disorder(ADHD),providing effective intervention strategies for clinical practice.Methods:A total of 130 children with autism and ADHD who visited the hospital between June 2023 and June 2024 were selected as study subjects and randomly divided into an intervention group and a control group,with 65 children in each group.The intervention group received a one-year early comprehensive intervention,including behavioral therapy,cognitive training,and family guidance,while the control group only received routine medical care.The neuropsychological development assessment scale was used to evaluate both groups before and after the intervention to compare changes in their neuropsychological development levels.Results:Children in the intervention group showed significant improvements in cognitive function,social skills,language ability,and attention concentration,with an average improvement score of 23.5 points.Children in the control group did not show significant improvements in these areas,with an average improvement score of only 5.8 points.The difference between the two groups was statistically significant(P<0.05).Conclusion:Early comprehensive intervention has a significant promoting effect on the neuropsychological development of children with autism and ADHD.Targeted behavioral therapy,cognitive training,and family guidance can effectively enhance children’s cognitive,social,language,and attention abilities,laying a solid foundation for their future overall development.Therefore,it is recommended to actively promote and apply early intervention strategies in clinical practice.

Optimal control of intervention strategies in malaria-tuberculosis co-infection with relapse

A model which incorporates some of the basic epidemiological features of the co- dynamics of malaria and tuberculosis （TB） is formulated and the effectiveness of current intervention strategies of these two diseases is analyzed. The malaria-only and TB-only models are considered first. Global stability disease-free steady states of the two sub- models does not hold due to the co-existence of stable disease-free with stable endemic equilibria, a phenomenon known as backward bifurcation. The dynamics of the dual malari^TB model with intervention strategies are also analyzed. Numerical simulations of the malaria-TB model are carried out to determine whether the two diseases can co- exist. Lastly, sensitivity analysis on key parameters that drive the disease dynamics is performed in order to identify their relative importance to disease transmission.

The Physical and Psychological Mechanisms of Educational Inequality and Intervention Strategies: The Case of Migrant Workers' Children

Using multiple methods including questionnaires, in-depth interviews, participant observation and field experiments, we have identified two social-psychological mechanisms in educational inequality： the self-fulfilling prophecy ofparentaI expectations at home and the threat of stereotyping encountered at school. The physical mechanism of educational inequality is manifested in the poor health of migrant workers＇ children and their devalued behavior. Targeting these physical and psychological mechanisms, we have designed two simple but effective intervention strategies to raise the children＇s academic achievement： passing on the incremental theory of intelligence and establishing a multiple assessment system. These intervention strategies effectively improved the children＇s academic performance, increased their identification with learning, and lowered the stereotype threat. It is hoped that these strategies can be applied to the new generation of migrant workers entering the labor market.

Advancing critical care recovery:The pivotal role of machine learning in early detection of intensive care unit-acquired weakness

This editorial explores the significant challenge of intensive care unit-acquiredweakness(ICU-AW),a prevalent condition affecting critically ill patients,characterizedby profound muscle weakness and complicating patient recovery.Highlightingthe paradox of modern medical advances,it emphasizes the urgent needfor early identification and intervention to mitigate ICU-AW's impact.Innovatively,the study by Wang et al is showcased for employing a multilayer perceptronneural network model,achieving high accuracy in predicting ICU-AWrisk.This advancement underscores the potential of neural network models inenhancing patient care but also calls for continued research to address limitationsand improve model applicability.The editorial advocates for the developmentand validation of sophisticated predictive tools,aiming for personalized carestrategies to reduce ICU-AW incidence and severity,ultimately improving patientoutcomes in critical care settings.

A randomized trail comparing primary percutaneous coronary intervention with a strategy of short-acting thrombolysis and immediate planned primary percutaneous coronary intervention in acute myocardial infarction

Objective This study was to evaluate the efficacy and safety of a short acting reduced dose fibrinolytic regimen to promote early infarct related artery (IRA) patency for acyute myocardial infarction (AMI) patients referred for percutaneous coronary intervention (PCI).Methods Following aspirin and heparin, 166 patients were randomized to a 50 mg bolus of recombinant tissue type plasminogen activator(rt PA) or to a same volume sodium chloride injection followed by immediate primary PCI. The end points included patency rates on catheterization laboratory (cath lab) arrival, revascularization results when PCI was performed, complication rates, left ventricular function and restored patency rate following PCI. Results Patency on cath lab arrival was 64% with rt PA (34% TIMI 3,30% TIMI 2), while 31% of placebo (13% TIMI 3, 18% TIMI 2). There was no difference in the restored TIMI 3 rates of IRA between the two groups (85% vs 87%). No difference were observed in stroke or major bleeding. Left ventricular function was similar in both groups (52±9% vs 50±8%), but left ventricular ejection fraction fraction (LVEF) was higher with patent IRA (TIMI 3) on cath lab arrival than that of others (56±12% vs 48±10%).Conclusions Strategy thrombolytic regimens were compatible with subsequent PCI lead to more frequenc early recanalization (before cath lab arrival), which facilitates greater left ventricular function preservation with no augmentation of adverse events.

Application of the interventional limb raising management strategy(ILRMS) at radial vascular access sites in coronary angiography and percutaneous coronary intervention:A randomized trial

Purpose:To compare the effectiveness of the interventional limb raising management strategy(ILRMS)to elastic bandage compression at radial vascular access sites following coronary angiographies(CAGs)and percutaneous coronary interventions(PCIs).Methods:Patients with ischemic coronary heart disease whose condition was stable over three months were enrolled in this clinical study(n=590;aged 25e80).All participants had just undergone CAG and PCI.Patients were randomized into either the ILRMS group(n=360)or standard post-intervention care with an elastic bandage(n=230).Overall comfort and wrist pain was assessed and the degree of index finger swelling and oxygen saturation was measured on the affected arm.All variables were measured prior to postintervention treatment and again at six hours after CAG and PCI.Results:We found that patients receiving ILRMS had significantly lower wrist pain scores and swelling around the index finger compared to the elastic bandage group(p<0.05).Oxygen saturation of the index finger was not statistically significant(p>0.05).We also found that 19.57%of the elastic bandage patients were comfortable,while ILRMS patients were significantly more comfortable(93.06%;p<0.05).Conclusions:We find that ILRMS alleviates swelling and pain of the wrist more effectively than current practices and improves the degree of overall comfort of patients who undergo CAG and PCI.

KMAP-O framework for care management research of patients with type 2 diabetes

AIM To review impacts of interventions involving self-management education, health coaching, and motivational interviewing for type 2 diabetes. METHODS A thorough review of the scientific literature on diabetes care and management was executed by a research team. RESULTS This article summarizes important findings in regard to the validity of developing a comprehensive behavioral system as a framework for empirical investigation. The behavioral system framework consists of patients' knowledge(K), motivation(M), attitude(A), and practice(P) as predictor variables for diabetes care outcomes(O). Care management strategies or health education programs serve as the intervention variable that directly influences K, M, A, and P and then indirectly affects the variability in patient care outcomes of patients with type 2 diabetes. CONCLUSION This review contributes to the understanding of the KMAP-O framework and how it can guide the care management of patients with type 2 diabetes. It will allow the tailoring of interventions to be more effective through knowledge enhancement, increased motivation, attitudinal changes, and improved preventive practice to reduce the progression of type 2 diabetes and comorbidities. Furthermore, the use of health information technology for enhancing changes in KMAP and communications is advocated in health promotion and development.

Research Progress on Job Burnout of Family Doctors

Job burnout is an important factor affecting the work attitude and professional behavior of family doctors.This paper reviews the measurement tools,influencing factors and intervention strategies of job burnout,it is suggested that improving job burnout can improve job satisfaction,work efficiency and reduce turnover intention of family doctors,and it is of great significance to the construction of family doctor team and the improvement of work quality.

Public health preparedness and responses to the coronavirus disease 2019(COVID-19)pandemic in South Asia:a situation and policy analysis

Like rest of the world,the South Asian region is facing enormous challenges with the coronavirus disease 2019(COVID-19)pandemic.The socio-economic context of the eight South Asian countries is averse to any longterm lockdown program,but the region still observed stringent lockdown close to two months.This paper analyzed major measures in public health preparedness and responses in those countries in the pandemic.The research was based on a situation analysis to discuss appropriate plan for epidemic preparedness,strategies for prevention and control measures,and adequate response management mechanism.Based on the data from March 21 to June 26,2020,it appeared lockdown program along with other control measures were not as effective to arrest the exponential growth of fortnightly COVID-19 cases in Afghanistan,Bangladesh,India,Nepal and Pakistan.However,Bhutan,Maldives and Sri Lanka have been successfully limiting the spread of the disease.The in-depth analysis of prevention and control measures espoused densely populated context of South Asia needs community-led intervention strategy,such as case containment,in order to reverse the growing trend,and adopt the policy of mitigation instead of suppression to formulate COVID-19 action plan.On the other hand,mechanism for response management encompassed a four-tier approach of governance to weave community-led local bodies with state,national and international governance actors for enhancing the countries’emergency operation system.It is concluded resource-crunch countries in South Asia are unable to cope with the disproportionate demand of capital and skilled health care workforce at the time of the pandemic.Hence,response management needs an approach of governance maximization instead of resource maximization.The epidemiologic management of population coupled with suitable public health prevention and control measures may be a more appropriate strategy to strike a balance between economy and population health during the time of pandemic.

Non-ionizing radiation-induced cellular senescence and age-related diseases

Cellular senescence has emerged as an important contributor to aging and age-related diseases.Non-ionizing radiation(NIR),including ultraviolet radiation and electromagnetic fields,has been increasingly recognized as a key inducer of premature senescence.In this review,we discuss the molecular mechanisms of NIR-induced cellular senescence and its effects on aging and age-related diseases.We also summarize the modulation strategies for NIR-induced cellular senescence.A better understanding of the complex relationship between nonionizing radiation,cellular senescence and age-related pathology may lead to interventions to ameliorate radiation damage and delay aging.Further research is still needed to elucidate the precise mechanisms,dose-response effects,and to develop protective strategies against radiation-induced senescence.

Women in Disasters and Conflicts in India:Interventions in View of the Millennium Development Goals

The Millennium Development Goals(MDGs)with their holistic perspective of development are focused on different issues of vulnerability.This article highlights the situation of women in disasters and the challenges in achieving the MDGs with special reference to India.It is accepted that there is no disaster without human engagement and that issues of differential impact on genders is an essential consideration for recovery.The international guidelines on disaster management and intervention have a considerable focus on gender equality,balance,mainstreaming,and sensitive programing,yet the situation is quite grim.India still lacks separate policy guidelines on gender aspects in disaster.In the twenty-first century,India has witnessed a series of disasters in different parts of the country.The author's personal experiences of working in intervention programs of these disasters showed that gender vulnerability depends on various factors like the intensity of the disaster impact,local sociocultural perspectives,effective disaster intervention strategies,the specific focus on issues of women in training of personnel,and gender-sensitive disaster intervention programs in the community.In the context of the MDGs,while development has become a priority concern to end age-old inequalities in society,the added challenge of disasters needs considerable focus on gender inequalities to achieve the goal of gender equity.

Simulation of COVID-19 Outbreak in Nanjing Lukou Airport Based on Complex Dynamical Networks

The Corona Virus Disease 2019(COVID-19)pandemic is still imposing a devastating impact on public health,the economy,and society.Predicting the development of epidemics and exploring the effects of various mitigation strategies have been a research focus in recent years.However,the spread simulation of COVID-19 in the dynamic social system is relatively unexplored.To address this issue,considering the outbreak of COVID-19 at Nanjing Lukou Airport in 2021,we constructed an artificial society of Nanjing Lukou Airport based on the Artificial societies,Computational experiments,and Parallel execution(ACP)approach.Specifically,the artificial society includes an environmental model,population model,contact networks model,disease spread model,and intervention strategy model.To reveal the dynamic variation of individuals in the airport,we first modeled the movement of passengers and designed an algorithm to generate the moving traces.Then,the mobile contact networks were constructed and aggregated with the static networks of staff and passengers.Finally,the complex dynamical network of contacts between individuals was generated.Based on the artificial society,we conducted large-scale computational experiments to study the spread characteristics of COVID-19 in an airport and to investigate the effects of different intervention strategies.Learned from the reproduction of the outbreak,it is found that the increase in cumulative incidence exhibits a linear growth mode,different from that(an exponential growth mode)in a static network.In terms of mitigation measures,promoting unmanned security checks and boarding in an airport is recommended,as to reduce contact behaviors between individuals and staff.

Soft-Control for Collective Opinion of Weighted DeGroot Model

The DeGroot model is a classic model to study consensus of opinion in a group of individuals(agents). Consensus can be achieved under some circumstances. But when the group reach consensus with a convergent opinion value which is not what we expect, how can we intervene the system and change the convergent value? In this paper a mechanism named soft control is first introduced in opinion dynamics to guide the group's opinion when the population are given and evolution rules are not allowed to change. According to the idea of soft control, one or several special agents,called shills, are added and connected to one or several normal agents in the original group. Shills act and are treated as normal agents. The authors prove that the change of convergent opinion value is decided by the initial opinion and influential value of the shill, as well as how the shill connects to normal agents. An interesting and counterintuitive phenomenon is discovered: Adding a shill with an initial opinion value which is smaller(or larger) than the original convergent opinion value dose not necessarily decrease(or increase) the convergent opinion value under some conditions. These conditions are given through mathematical analysis and they are verified by the numerical tests. The authors also find out that the convergence speed of the system varies when a shill is connected to different normal agents. Our simulations show that it is positively related to the degree of the connected normal agent in scale-free networks.