The global burden of chronic non-communicable diseases(NCDs),such as cardiovascular diseases,diabetes,chronic respiratory diseases,and cancers,constitutes a paramount public health challenge of our time.While genetic ...The global burden of chronic non-communicable diseases(NCDs),such as cardiovascular diseases,diabetes,chronic respiratory diseases,and cancers,constitutes a paramount public health challenge of our time.While genetic predisposition and lifestyle factors are established contributors,a substantial portion of chronic disease etiology remains unexplained[1].Increasingly,scientific evidence points to the pervasive role of environmental factors—the air we breathe,the water we drink,and the chemicals we encounter—as critical,yet often modifiable,determinants.展开更多
We assessed the prevalence of non‐ communicable diseases（NCDs） risk factors with a focus on their clustering among healthy adults in Shenzhen, China. Data from the 2011 China Health and Nutrition Survey, comprising...We assessed the prevalence of non‐ communicable diseases（NCDs） risk factors with a focus on their clustering among healthy adults in Shenzhen, China. Data from the 2011 China Health and Nutrition Survey, comprising a regionally representative sample of 806 healthy adults aged 35 years or older, were obtained to determine the prevalence of five risk factors for NCDs. The prevalence of current smoking, central obesity, impaired fasting glucose, borderline hypertension, and borderline high total cholesterol was 19.97%, 28.29%, 4.47%, 10.55%, and 36.10%, respectively. A total 63.77% of participants had at least one risk factor. Upon examination of risk factor clustering, we observed that 7.57% of participants had at least three risk factors. Using this threshold as a cutoff, clustering of risk factors was associated with sex [odds ratio（OR） = 3.336, 95% confidence interval（CI）： 1.782 to 6.246], physical activity（OR = 1.913, 95% CI： 1.009 to 3.628）, and BMI（OR = 7.376, 95% CI： 3.812 to 14.270）. The prevalence of risk factors for NCDs is fairly high among healthy adults in Shenzhen, with a clustering tendency.展开更多
Introduction: Self evaluation is a process that defines and collects required data to judge about decision making issues at educational system on whether the educational department is fit to educate students? The obje...Introduction: Self evaluation is a process that defines and collects required data to judge about decision making issues at educational system on whether the educational department is fit to educate students? The objective of this study was determining the quality of the structural elements of the department of Communicable Diseases & determining the strengths, weaknesses, opportunities and threats to improve the quality of activities in the department under research. Materials and Methods: The employed method was Mixed methods (qualitative & quantitative research), on the basis of 10 procedural steps and within 8 sections dealing with evaluated factors;such as 1) organizational and management structure 2) scientific board members 3) students 4) Manpower 5) Space of educational research and health care 6) Equipment 7) curriculum 8) satisfaction of graduates, which were studied using 61 criteria and 172 indicators. Five-point Likert Scale was used for the responses in the questionnaire (1 - 1.75 = undesirable, to 4.2 - 5 completely desirable). Finally the data were analyzed using descriptive statistics indices and the assessment software of the Educational Development Center of TUMS. The instruments used in this method included assessment software, interview, observation and self-prepared questionnaire which consisted of 7 questionnaires and 2 check lists. Finding: The results of the research showed that general average of 8 investigating sections was 56.9% as a rather desirable research work. Conclusions: Therefore, it was concluded that function of the educational management in that group was directly in line with evaluation process, but continuing the process of evaluation seems necessary.展开更多
Introduction: Tobacco use and exposure to tobacco smoke are one of the most preventable causes of death and disability worldwide. The risk is even higher among daily tobacco consumers. The World Health Organization (W...Introduction: Tobacco use and exposure to tobacco smoke are one of the most preventable causes of death and disability worldwide. The risk is even higher among daily tobacco consumers. The World Health Organization (WHO) recommended that surveillance of major risk factors for non- communicable diseases (NCDs), such as smoking, be imperative to predicting the future burden of NCDs, identifying adequate interventions to decrease future burden and monitor trends. In 2015, a survey on NCD risk factors was conducted in Benin to estimate the prevalence of major NCD risk factors. We analyzed the data from this survey to estimate the prevalence and risk factors associated with daily tobacco consumption in Benin. Methods: A nationwide representative sample of the population was constituted in the 12 departments of Benin. The WHO STEPS wise tool was used to collect data on behavioral and demographic characteristics, including daily tobacco consumption. Tobacco consumption was subdivided into three categories: The daily consumption of tobacco, the daily consumption of smoked tobacco and non-smoked tobacco. Multivariate analysis through the weighted logistic regression was used to identify potential factors associated with daily consumption of tobacco. Results: Over the 5.126 surveyed subjects, 7.49% were daily tobacco consumers, with 3.85% being daily users of smoked tobacco and 4.36% being daily consumers of non-smoked tobacco. Men were more likely to be daily consumers of tobacco compared to women (OR = 7.42;95%CI = [4.98;11.06]). Compared to respondents aged 18 to 24, those aged 45 to 54 were five times more likely to consume tobacco (OR = 5.58;95%IC = [2.71;11.47]). Respondents residing in the departments of Atacora, Couffo and Borgou were respectively 4.28 times, 3.93 times and 2.63 times more likely to consume tobacco compared to those residing in the department of Alibori. Respondents with no education were more likely to consume tobacco daily compared to respondents who had finished high school or were in university (OR = 3.73;95%CI = [1.36;10.23]. Respondents who were overweight were less likely to be daily users of tobacco compared to people with normal weight status (OR = 0.57;95%CI = [0.34;0.96]). Conclusion: There is a relatively high prevalence of smoking in Benin, where one out of 8 people, consumes tobacco products daily. Being elderly, male, having no formal education, residing in Atacora, Borgou or Couffo were significantly associated with daily smoking. Prevention actions should thus target those sub-groups of the population.展开更多
In the present review article human diseases caused by various groups of pathogens have been explained with its etiology,epidemiology and treatment.In addition,effect of climatic changes on parasites and pathogens has...In the present review article human diseases caused by various groups of pathogens have been explained with its etiology,epidemiology and treatment.In addition,effect of climatic changes on parasites and pathogens has been demarcated with rising incidences of diseases.In response to environmental changes,mainly external and internal microenvironment of body and drug regimens taken by patients;virus is regularly changing its form and new mutant variants are coming out.These are circulating in many Indian states and cross border countries and causing high infectivity and mortality in human patients.These variants with new mutations are challenging existing drugs and other prophylactic measures and massively disrupting functions of a tissue,organ,or entire organism.Diseases caused by viruses are showing new trends in virulence,with high infectivity,morbidity and mortality.Due to climatic effect and drug resistance and new mutations in pathogens disease burden has been exacerbated enormously at global level.In all cases of helminthes,protozoan’s,fungi,bacteria,virus pathogens and parasites available drug structure seem to be failed or their usefulness has been much reduced due to evolution of new mutant variants with multiple drug resistance.There are serious failures at the level of operation,management and control of disease.The utmost failure is due to lack of appropriate vaccine,drug regimens,clinical care and awareness among people.These are major reasons that is why diseases become uncontrolled and unmanageable.展开更多
Introduction:To address the lack of long-term national–provincial comparisons,we used Global Burden of Disease(GBD)2023 data to assess the burden of non-communicable diseases(NCDs)attributable to high alcohol use acr...Introduction:To address the lack of long-term national–provincial comparisons,we used Global Burden of Disease(GBD)2023 data to assess the burden of non-communicable diseases(NCDs)attributable to high alcohol use across 31 provinciallevel administrative divisions and the Hong Kong and Macao Special Administrative Regions of China at both national and provincial levels from 1990 to 2023.Methods:We summarized deaths and disabilityadjusted life years(DALYs)for GBD Level 1 cause NCDs and alcohol-linked Level 2 causes based on the GBD comparative risk assessment framework.Analyses were stratified by cause composition,age,sex,and region.Results:In 2023,age-standardized death and DALY rates declined markedly compared with 1990,while absolute numbers rose slightly.Neoplasms contributed the largest share of DALYs,followed by substance use disorders;diabetes and kidney diseases contributed smaller shares but demonstrated substantial increases(160.22%,2010–2023).DALY peaks occurred at ages 40 to 64 years for digestive diseases,neoplasms,and substance use disorders,and at ages 65 years and older for cardiovascular diseases and diabetes and kidney diseases;neurological disorders showed the most negative values at ages 65 years and older.The male age-standardized DALY rate was 10.64 times that of females,and marked spatial heterogeneity persisted,with distinct provincial clustering by disease category.Conclusion:Despite declining age-standardized rates,the persistent absolute burden of NCDs attributable to high alcohol use and heterogeneous disease profiles support the need for cause-,age-,sex-,and region-specific prevention strategies.Public health efforts should prioritize substance use disorders,monitor the rising burden of diabetes and kidney diseases,and sustain interventions to reduce the substantial neoplasm burden.展开更多
Non-communicable diseases(NCDs)account for over 70%of all deaths worldwide each year,primarily encompassing cardiovascular diseases(CVD),cancers,diabetes,and chronic respiratory diseases[1].Unlike infectious diseases,...Non-communicable diseases(NCDs)account for over 70%of all deaths worldwide each year,primarily encompassing cardiovascular diseases(CVD),cancers,diabetes,and chronic respiratory diseases[1].Unlike infectious diseases,NCDs are closely associated with modifiable behavioral risk factors,including tobacco,high alcohol consumption,unhealthy diets,and insufficient physical activity[2,3].These behavioral risk factors are prevalent globally and exert long-term adverse effects on health,serving as primary drivers of the high prevalence and mortality rates of NCDs[4].Research indicates that over 50%of deaths related to NCDs are preventable,underscoring the significant public health value of implementing behavioral interventions aimed at preventing and controlling these diseases[5].展开更多
Background:Disease epidemiology encompasses a wide range of health conditions,divided into communicable and noncommunicable diseases.Aim and Objective:This systematic review investigates the intricate connection betwe...Background:Disease epidemiology encompasses a wide range of health conditions,divided into communicable and noncommunicable diseases.Aim and Objective:This systematic review investigates the intricate connection between genetic susceptibility and disease development within these categories.Understanding genetic factors is crucial for improving prevention,diagnosis,and treatment strategies.The central research question is as follows:Which genes are linked to susceptibility to communicable and noncommunicable diseases,and how do these genetic elements affect susceptibility?We hypothesize that an exhaustive analysis of the literature will reveal numerous genes associated with both types of diseases,revealing the complex genetic landscape influencing susceptibility.Methodology:This systematic review follows a rigorous methodology,including comprehensive search strategies,well-defined inclusion and exclusion criteria,publication bias assessment,data extraction,quality evaluation,and data synthesis,adhering to PRISMA(Preferred Reporting Items for Systematic Reviews and Meta-Analyses)guidelines to ensure transparency and ethical presentation.Several databases,including PubMed,Embase,Springer Nature,AJOL,CrossRef,Scopus,and Web of Science,were systematically searched to retrieve published articles.Findings:In communicable diseases,the genetic factors influencing susceptibility extend beyond well-established genes,warranting further investigation under conditions such as COVID-19,HIV,tuberculosis,and hepatitis B.Noncommunicable diseases,such as cardiovascular diseases,cancer,neurological disorders,and metabolic disorders,offer promising avenues for exploring additional genetic variations.Research gaps include understanding the functional impact of the identified polymorphisms,their interaction with environmental factors,and their implications for rare diseases.Conclusion:Genome-wide association studies and gene editing therapies have the potential to expand our understanding and therapeutic options for genetically based diseases.This comprehensive review contributes to the evolving landscape of genetic susceptibility and its implications for public health and personalized medicine.展开更多
To address the issue of instability or even imbalance in the orientation and attitude control of quadrotor unmanned aerial vehicles(QUAVs)under random disturbances,this paper proposes a distributed antidisturbance dat...To address the issue of instability or even imbalance in the orientation and attitude control of quadrotor unmanned aerial vehicles(QUAVs)under random disturbances,this paper proposes a distributed antidisturbance data-driven event-triggered fusion control method,which achieves efficient fault diagnosis while suppressing random disturbances and mitigating communication conflicts within the QUAV swarm.First,the impact of random disturbances on the UAV swarm is analyzed,and a model for orientation and attitude control of QUAVs under stochastic perturbations is established,with the disturbance gain threshold determined.Second,a fault diagnosis system based on a high-gain observer is designed,constructing a fault gain criterion by integrating orientation and attitude information from QUAVs.Subsequently,a model-free dynamic linearization-based data modeling(MFDLDM)framework is developed using model-free adaptive control,which efficiently fits the nonlinear control model of the QUAV swarm while reducing temporal constraints on control data.On this basis,this paper constructs a distributed data-driven event-triggered controller based on the staggered communication mechanism,which consists of an equivalent QUAV controller and an event-triggered controller,and is able to reduce the communication conflicts while suppressing the influence of random interference.Finally,by incorporating random disturbances into the controller,comparative experiments and physical validations are conducted on the QUAV platforms,fully demonstrating the strong adaptability and robustness of the proposed distributed event-triggered fault-tolerant control system.展开更多
Tunneling nanotubes are crucial structures for cellular communication and are observed in a variety of cell types.Glial cells,the most abundant cells in the nervous system,play a vital role in intercellular signaling ...Tunneling nanotubes are crucial structures for cellular communication and are observed in a variety of cell types.Glial cells,the most abundant cells in the nervous system,play a vital role in intercellular signaling and can show abnormal activation under pathological conditions.Our bibliometric analysis indicated a substantial increase in research on tunneling nanotubes over the past two decades,highlighting their important role in cellular communication.This review focuses on the formation of tunneling nanotubes in various types of glial cells,including astrocytes,microglia,glioma cells,and Schwann cells,as well as their roles in cellular communication and cargo transport.We found that glial cells influence the stability of the neural system and play a role in nerve regeneration through tunneling nanotubes.Tunneling nanotubes facilitate the transmission and progression of diseases by transporting pathogens and harmful substances.However,they are also involved in alleviating cellular stress by removing toxins and delivering essential nutrients.Understanding the interactions between glial cells through tunneling nanotubes could provide valuable insights into the complex neural networks that govern brain function and responses to injury.展开更多
Traffic at urban intersections frequently encounters unexpected obstructions,resulting in congestion due to uncooperative and priority-based driving behavior.This paper presents an optimal right-turn coordination syst...Traffic at urban intersections frequently encounters unexpected obstructions,resulting in congestion due to uncooperative and priority-based driving behavior.This paper presents an optimal right-turn coordination system for Connected and Automated Vehicles(CAVs)at single-lane intersections,particularly in the context of left-hand side driving on roads.The goal is to facilitate smooth right turns for certain vehicles without creating bottlenecks.We consider that all approaching vehicles share relevant information through vehicular communications.The Intersection Coordination Unit(ICU)processes this information and communicates the optimal crossing or turning times to the vehicles.The primary objective of this coordination is to minimize overall traffic delays,which also helps improve the fuel consumption of vehicles.By considering information from upcoming vehicles at the intersection,the coordination system solves an optimization problem to determine the best timing for executing right turns,ultimately minimizing the total delay for all vehicles.The proposed coordination system is evaluated at a typical urban intersection,and its performance is compared to traditional traffic systems.Numerical simulation results indicate that the proposed coordination system significantly enhances the average traffic speed and fuel consumption compared to the traditional traffic system in various scenarios.展开更多
The advent of sixth-generation(6G)networks introduces unprecedented challenges in achieving seamless connectivity,ultra-low latency,and efficient resource management in highly dynamic environments.Although fifth-gener...The advent of sixth-generation(6G)networks introduces unprecedented challenges in achieving seamless connectivity,ultra-low latency,and efficient resource management in highly dynamic environments.Although fifth-generation(5G)networks transformed mobile broadband and machine-type communications at massive scales,their properties of scaling,interference management,and latency remain a limitation in dense high mobility settings.To overcome these limitations,artificial intelligence(AI)and unmanned aerial vehicles(UAVs)have emerged as potential solutions to develop versatile,dynamic,and energy-efficient communication systems.The study proposes an AI-based UAV architecture that utilizes cooperative reinforcement learning(CoRL)to manage an autonomous network.The UAVs collaborate by sharing local observations and real-time state exchanges to optimize user connectivity,movement directions,allocate power,and resource distribution.Unlike conventional centralized or autonomous methods,CoRL involves joint state sharing and conflict-sensitive reward shaping,which ensures fair coverage,less interference,and enhanced adaptability in a dynamic urban environment.Simulations conducted in smart city scenarios with 10 UAVs and 50 ground users demonstrate that the proposed CoRL-based UAV system increases user coverage by up to 10%,achieves convergence 40%faster,and reduces latency and energy consumption by 30%compared with centralized and decentralized baselines.Furthermore,the distributed nature of the algorithm ensures scalability and flexibility,making it well-suited for future large-scale 6G deployments.The results highlighted that AI-enabled UAV systems enhance connectivity,support ultra-reliable low-latency communications(URLLC),and improve 6G network efficiency.Future work will extend the framework with adaptive modulation,beamforming-aware positioning,and real-world testbed deployment.展开更多
Stroke-induced alterations in cerebral blood flow trigger neurovascular remodeling,as manifested by the blood-brain barrier dysfunction and subs equent neurovascular repair activities such as angiogenesis.This process...Stroke-induced alterations in cerebral blood flow trigger neurovascular remodeling,as manifested by the blood-brain barrier dysfunction and subs equent neurovascular repair activities such as angiogenesis.This process involves neurovascular communication that facilitates the transport of mediators among cerebrovascular endothelial cells,pericytes,glial cells,and neurons,thereby transmitting signals from donor to recipient cells to elicit a collaborative response.展开更多
Introduction:One of the main events that regulate a cell’s well-being is cell-to-cell communication.This intercellular mechanism of information transfer is often mediated by vesicular trafficking.Mitochondrial-derive...Introduction:One of the main events that regulate a cell’s well-being is cell-to-cell communication.This intercellular mechanism of information transfer is often mediated by vesicular trafficking.Mitochondrial-derived vesicles(MDVs)are an emerging subpopulation of extracellular vesicle(EV)first discovered in 2008 that allow mitochondria to communicate with their surroundings.展开更多
In the field of edge computing,achieving low-latency computational task offloading with limited resources is a critical research challenge,particularly in resource-constrained and latency-sensitive vehicular network e...In the field of edge computing,achieving low-latency computational task offloading with limited resources is a critical research challenge,particularly in resource-constrained and latency-sensitive vehicular network environments where rapid response is mandatory for safety-critical applications.In scenarios where edge servers are sparsely deployed,the lack of coordination and information sharing often leads to load imbalance,thereby increasing system latency.Furthermore,in regions without edge server coverage,tasks must be processed locally,which further exacerbates latency issues.To address these challenges,we propose a novel and efficient Deep Reinforcement Learning(DRL)-based approach aimed at minimizing average task latency.The proposed method incorporates three offloading strategies:local computation,direct offloading to the edge server in local region,and device-to-device(D2D)-assisted offloading to edge servers in other regions.We formulate the task offloading process as a complex latency minimization optimization problem.To solve it,we propose an advanced algorithm based on the Dueling Double Deep Q-Network(D3QN)architecture and incorporating the Prioritized Experience Replay(PER)mechanism.Experimental results demonstrate that,compared with existing offloading algorithms,the proposed method significantly reduces average task latency,enhances user experience,and offers an effective strategy for latency optimization in future edge computing systems under dynamic workloads.展开更多
Drug development for Alzheimer’s disease is extremely challenging,as demonstrated by the repeated failures of amyloid-β-targeted therapeutics and the controversies surrounding the amyloid-βcascade hypothesis.More r...Drug development for Alzheimer’s disease is extremely challenging,as demonstrated by the repeated failures of amyloid-β-targeted therapeutics and the controversies surrounding the amyloid-βcascade hypothesis.More recently,advances in the development of Lecanemab,an anti-amyloid-βmonoclonal antibody,have shown positive results in reducing brain A burden and slowing cognitive decline in patients with early-stage Alzheimer’s disease in the Phase Ⅲ clinical trial(Clarity Alzheimer’s disease).Despite these promising results,side effects such as amyloid-related imaging abnormalities(ARIA)may limit its usage.ARIA can manifest as ARIA-E(cerebral edema or effusions)and ARIA-H(microhemorrhages or superficial siderosis)and is thought to be caused by increased vascular permeability due to inflammatory responses,leading to leakages of blood products and protein-rich fluid into brain parenchyma.Endothelial dysfunction is an early pathological feature of Alzheimer’s disease,and the blood-brain barrier becomes increasingly leaky as the disease progresses.In addition,APOE4,the strongest genetic risk factor for Alzheimer’s disease,is associated with higher vascular amyloid burden,increased ARIA incidence,and accelerated blood-brain barrier disruptions.These interconnected vascular abnormalities highlight the importance of vascular contributions to the pathophysiology of Alzheimer’s disease.Here,we will closely examine recent research evaluating the heterogeneity of brain endothelial cells in the microvasculature of different brain regions and their relationships with Alzheimer’s disease progression.展开更多
Founded in September 2020,the International SparkLink Alliance(iSLA)now has approximately 1,200 members in diverse sectors including terminals,homes,vehicles,manufacturing,transportation,finance and healthcare.The iSL...Founded in September 2020,the International SparkLink Alliance(iSLA)now has approximately 1,200 members in diverse sectors including terminals,homes,vehicles,manufacturing,transportation,finance and healthcare.The iSLA has established a technical standards system for wireless short-range communication covering full-stack standards such as the end-to-end protocol system.展开更多
文摘The global burden of chronic non-communicable diseases(NCDs),such as cardiovascular diseases,diabetes,chronic respiratory diseases,and cancers,constitutes a paramount public health challenge of our time.While genetic predisposition and lifestyle factors are established contributors,a substantial portion of chronic disease etiology remains unexplained[1].Increasingly,scientific evidence points to the pervasive role of environmental factors—the air we breathe,the water we drink,and the chemicals we encounter—as critical,yet often modifiable,determinants.
基金supported by National Project of NCDs High‐risk Population Health Management,Center for Chronic and Non‐communicable Diseases Control and Prevention,China CDC(Grant No.2013085)The Science and Technology Planning Project of Shenzhen City,Guangdong Province,China(Grant No.201602005)
文摘We assessed the prevalence of non‐ communicable diseases（NCDs） risk factors with a focus on their clustering among healthy adults in Shenzhen, China. Data from the 2011 China Health and Nutrition Survey, comprising a regionally representative sample of 806 healthy adults aged 35 years or older, were obtained to determine the prevalence of five risk factors for NCDs. The prevalence of current smoking, central obesity, impaired fasting glucose, borderline hypertension, and borderline high total cholesterol was 19.97%, 28.29%, 4.47%, 10.55%, and 36.10%, respectively. A total 63.77% of participants had at least one risk factor. Upon examination of risk factor clustering, we observed that 7.57% of participants had at least three risk factors. Using this threshold as a cutoff, clustering of risk factors was associated with sex [odds ratio（OR） = 3.336, 95% confidence interval（CI）： 1.782 to 6.246], physical activity（OR = 1.913, 95% CI： 1.009 to 3.628）, and BMI（OR = 7.376, 95% CI： 3.812 to 14.270）. The prevalence of risk factors for NCDs is fairly high among healthy adults in Shenzhen, with a clustering tendency.
文摘Introduction: Self evaluation is a process that defines and collects required data to judge about decision making issues at educational system on whether the educational department is fit to educate students? The objective of this study was determining the quality of the structural elements of the department of Communicable Diseases & determining the strengths, weaknesses, opportunities and threats to improve the quality of activities in the department under research. Materials and Methods: The employed method was Mixed methods (qualitative & quantitative research), on the basis of 10 procedural steps and within 8 sections dealing with evaluated factors;such as 1) organizational and management structure 2) scientific board members 3) students 4) Manpower 5) Space of educational research and health care 6) Equipment 7) curriculum 8) satisfaction of graduates, which were studied using 61 criteria and 172 indicators. Five-point Likert Scale was used for the responses in the questionnaire (1 - 1.75 = undesirable, to 4.2 - 5 completely desirable). Finally the data were analyzed using descriptive statistics indices and the assessment software of the Educational Development Center of TUMS. The instruments used in this method included assessment software, interview, observation and self-prepared questionnaire which consisted of 7 questionnaires and 2 check lists. Finding: The results of the research showed that general average of 8 investigating sections was 56.9% as a rather desirable research work. Conclusions: Therefore, it was concluded that function of the educational management in that group was directly in line with evaluation process, but continuing the process of evaluation seems necessary.
文摘Introduction: Tobacco use and exposure to tobacco smoke are one of the most preventable causes of death and disability worldwide. The risk is even higher among daily tobacco consumers. The World Health Organization (WHO) recommended that surveillance of major risk factors for non- communicable diseases (NCDs), such as smoking, be imperative to predicting the future burden of NCDs, identifying adequate interventions to decrease future burden and monitor trends. In 2015, a survey on NCD risk factors was conducted in Benin to estimate the prevalence of major NCD risk factors. We analyzed the data from this survey to estimate the prevalence and risk factors associated with daily tobacco consumption in Benin. Methods: A nationwide representative sample of the population was constituted in the 12 departments of Benin. The WHO STEPS wise tool was used to collect data on behavioral and demographic characteristics, including daily tobacco consumption. Tobacco consumption was subdivided into three categories: The daily consumption of tobacco, the daily consumption of smoked tobacco and non-smoked tobacco. Multivariate analysis through the weighted logistic regression was used to identify potential factors associated with daily consumption of tobacco. Results: Over the 5.126 surveyed subjects, 7.49% were daily tobacco consumers, with 3.85% being daily users of smoked tobacco and 4.36% being daily consumers of non-smoked tobacco. Men were more likely to be daily consumers of tobacco compared to women (OR = 7.42;95%CI = [4.98;11.06]). Compared to respondents aged 18 to 24, those aged 45 to 54 were five times more likely to consume tobacco (OR = 5.58;95%IC = [2.71;11.47]). Respondents residing in the departments of Atacora, Couffo and Borgou were respectively 4.28 times, 3.93 times and 2.63 times more likely to consume tobacco compared to those residing in the department of Alibori. Respondents with no education were more likely to consume tobacco daily compared to respondents who had finished high school or were in university (OR = 3.73;95%CI = [1.36;10.23]. Respondents who were overweight were less likely to be daily users of tobacco compared to people with normal weight status (OR = 0.57;95%CI = [0.34;0.96]). Conclusion: There is a relatively high prevalence of smoking in Benin, where one out of 8 people, consumes tobacco products daily. Being elderly, male, having no formal education, residing in Atacora, Borgou or Couffo were significantly associated with daily smoking. Prevention actions should thus target those sub-groups of the population.
文摘In the present review article human diseases caused by various groups of pathogens have been explained with its etiology,epidemiology and treatment.In addition,effect of climatic changes on parasites and pathogens has been demarcated with rising incidences of diseases.In response to environmental changes,mainly external and internal microenvironment of body and drug regimens taken by patients;virus is regularly changing its form and new mutant variants are coming out.These are circulating in many Indian states and cross border countries and causing high infectivity and mortality in human patients.These variants with new mutations are challenging existing drugs and other prophylactic measures and massively disrupting functions of a tissue,organ,or entire organism.Diseases caused by viruses are showing new trends in virulence,with high infectivity,morbidity and mortality.Due to climatic effect and drug resistance and new mutations in pathogens disease burden has been exacerbated enormously at global level.In all cases of helminthes,protozoan’s,fungi,bacteria,virus pathogens and parasites available drug structure seem to be failed or their usefulness has been much reduced due to evolution of new mutant variants with multiple drug resistance.There are serious failures at the level of operation,management and control of disease.The utmost failure is due to lack of appropriate vaccine,drug regimens,clinical care and awareness among people.These are major reasons that is why diseases become uncontrolled and unmanageable.
基金Supported by the Non-communicable Chronic Diseases National Science and Technology Major Project(grant numbers 2024ZD0524100 and 2024ZD0524101).
文摘Introduction:To address the lack of long-term national–provincial comparisons,we used Global Burden of Disease(GBD)2023 data to assess the burden of non-communicable diseases(NCDs)attributable to high alcohol use across 31 provinciallevel administrative divisions and the Hong Kong and Macao Special Administrative Regions of China at both national and provincial levels from 1990 to 2023.Methods:We summarized deaths and disabilityadjusted life years(DALYs)for GBD Level 1 cause NCDs and alcohol-linked Level 2 causes based on the GBD comparative risk assessment framework.Analyses were stratified by cause composition,age,sex,and region.Results:In 2023,age-standardized death and DALY rates declined markedly compared with 1990,while absolute numbers rose slightly.Neoplasms contributed the largest share of DALYs,followed by substance use disorders;diabetes and kidney diseases contributed smaller shares but demonstrated substantial increases(160.22%,2010–2023).DALY peaks occurred at ages 40 to 64 years for digestive diseases,neoplasms,and substance use disorders,and at ages 65 years and older for cardiovascular diseases and diabetes and kidney diseases;neurological disorders showed the most negative values at ages 65 years and older.The male age-standardized DALY rate was 10.64 times that of females,and marked spatial heterogeneity persisted,with distinct provincial clustering by disease category.Conclusion:Despite declining age-standardized rates,the persistent absolute burden of NCDs attributable to high alcohol use and heterogeneous disease profiles support the need for cause-,age-,sex-,and region-specific prevention strategies.Public health efforts should prioritize substance use disorders,monitor the rising burden of diabetes and kidney diseases,and sustain interventions to reduce the substantial neoplasm burden.
基金supported by the Excellent Young Science and Technology Talent Cultivation Special Project of CACMS(CI2023D006)the Xiyuan Hospital’s Support Program for Leading Talents in Traditional Chinese Medicine(0202213)the Xiyuan Hospital CACMS Enhancement Fund(XYZX0201-10).
文摘Non-communicable diseases(NCDs)account for over 70%of all deaths worldwide each year,primarily encompassing cardiovascular diseases(CVD),cancers,diabetes,and chronic respiratory diseases[1].Unlike infectious diseases,NCDs are closely associated with modifiable behavioral risk factors,including tobacco,high alcohol consumption,unhealthy diets,and insufficient physical activity[2,3].These behavioral risk factors are prevalent globally and exert long-term adverse effects on health,serving as primary drivers of the high prevalence and mortality rates of NCDs[4].Research indicates that over 50%of deaths related to NCDs are preventable,underscoring the significant public health value of implementing behavioral interventions aimed at preventing and controlling these diseases[5].
文摘Background:Disease epidemiology encompasses a wide range of health conditions,divided into communicable and noncommunicable diseases.Aim and Objective:This systematic review investigates the intricate connection between genetic susceptibility and disease development within these categories.Understanding genetic factors is crucial for improving prevention,diagnosis,and treatment strategies.The central research question is as follows:Which genes are linked to susceptibility to communicable and noncommunicable diseases,and how do these genetic elements affect susceptibility?We hypothesize that an exhaustive analysis of the literature will reveal numerous genes associated with both types of diseases,revealing the complex genetic landscape influencing susceptibility.Methodology:This systematic review follows a rigorous methodology,including comprehensive search strategies,well-defined inclusion and exclusion criteria,publication bias assessment,data extraction,quality evaluation,and data synthesis,adhering to PRISMA(Preferred Reporting Items for Systematic Reviews and Meta-Analyses)guidelines to ensure transparency and ethical presentation.Several databases,including PubMed,Embase,Springer Nature,AJOL,CrossRef,Scopus,and Web of Science,were systematically searched to retrieve published articles.Findings:In communicable diseases,the genetic factors influencing susceptibility extend beyond well-established genes,warranting further investigation under conditions such as COVID-19,HIV,tuberculosis,and hepatitis B.Noncommunicable diseases,such as cardiovascular diseases,cancer,neurological disorders,and metabolic disorders,offer promising avenues for exploring additional genetic variations.Research gaps include understanding the functional impact of the identified polymorphisms,their interaction with environmental factors,and their implications for rare diseases.Conclusion:Genome-wide association studies and gene editing therapies have the potential to expand our understanding and therapeutic options for genetically based diseases.This comprehensive review contributes to the evolving landscape of genetic susceptibility and its implications for public health and personalized medicine.
基金supported in part by the National Natural Science Foundation of China,Grant/Award Number:62003267the Key Research and Development Program of Shaanxi Province,Grant/Award Number:2023-GHZD-33Open Project of the State Key Laboratory of Intelligent Game,Grant/Award Number:ZBKF-23-05。
文摘To address the issue of instability or even imbalance in the orientation and attitude control of quadrotor unmanned aerial vehicles(QUAVs)under random disturbances,this paper proposes a distributed antidisturbance data-driven event-triggered fusion control method,which achieves efficient fault diagnosis while suppressing random disturbances and mitigating communication conflicts within the QUAV swarm.First,the impact of random disturbances on the UAV swarm is analyzed,and a model for orientation and attitude control of QUAVs under stochastic perturbations is established,with the disturbance gain threshold determined.Second,a fault diagnosis system based on a high-gain observer is designed,constructing a fault gain criterion by integrating orientation and attitude information from QUAVs.Subsequently,a model-free dynamic linearization-based data modeling(MFDLDM)framework is developed using model-free adaptive control,which efficiently fits the nonlinear control model of the QUAV swarm while reducing temporal constraints on control data.On this basis,this paper constructs a distributed data-driven event-triggered controller based on the staggered communication mechanism,which consists of an equivalent QUAV controller and an event-triggered controller,and is able to reduce the communication conflicts while suppressing the influence of random interference.Finally,by incorporating random disturbances into the controller,comparative experiments and physical validations are conducted on the QUAV platforms,fully demonstrating the strong adaptability and robustness of the proposed distributed event-triggered fault-tolerant control system.
基金supported by the National Natural Science Foundation of China,No.82101115(to JY)the Wuhan University Independent Innovation Fund Youth Project,No.2042021kf0094(to JY).
文摘Tunneling nanotubes are crucial structures for cellular communication and are observed in a variety of cell types.Glial cells,the most abundant cells in the nervous system,play a vital role in intercellular signaling and can show abnormal activation under pathological conditions.Our bibliometric analysis indicated a substantial increase in research on tunneling nanotubes over the past two decades,highlighting their important role in cellular communication.This review focuses on the formation of tunneling nanotubes in various types of glial cells,including astrocytes,microglia,glioma cells,and Schwann cells,as well as their roles in cellular communication and cargo transport.We found that glial cells influence the stability of the neural system and play a role in nerve regeneration through tunneling nanotubes.Tunneling nanotubes facilitate the transmission and progression of diseases by transporting pathogens and harmful substances.However,they are also involved in alleviating cellular stress by removing toxins and delivering essential nutrients.Understanding the interactions between glial cells through tunneling nanotubes could provide valuable insights into the complex neural networks that govern brain function and responses to injury.
基金supported by the Japan Society for the Promotion of Science(JSPS)Grants-in-Aid for Scientific Research(C)23K03898.
文摘Traffic at urban intersections frequently encounters unexpected obstructions,resulting in congestion due to uncooperative and priority-based driving behavior.This paper presents an optimal right-turn coordination system for Connected and Automated Vehicles(CAVs)at single-lane intersections,particularly in the context of left-hand side driving on roads.The goal is to facilitate smooth right turns for certain vehicles without creating bottlenecks.We consider that all approaching vehicles share relevant information through vehicular communications.The Intersection Coordination Unit(ICU)processes this information and communicates the optimal crossing or turning times to the vehicles.The primary objective of this coordination is to minimize overall traffic delays,which also helps improve the fuel consumption of vehicles.By considering information from upcoming vehicles at the intersection,the coordination system solves an optimization problem to determine the best timing for executing right turns,ultimately minimizing the total delay for all vehicles.The proposed coordination system is evaluated at a typical urban intersection,and its performance is compared to traditional traffic systems.Numerical simulation results indicate that the proposed coordination system significantly enhances the average traffic speed and fuel consumption compared to the traditional traffic system in various scenarios.
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(RS-2025-00559546)supported by the IITP(Institute of Information&Coummunications Technology Planning&Evaluation)-ITRC(Information Technology Research Center)grant funded by the Korea government(Ministry of Science and ICT)(IITP-2025-RS-2023-00259004).
文摘The advent of sixth-generation(6G)networks introduces unprecedented challenges in achieving seamless connectivity,ultra-low latency,and efficient resource management in highly dynamic environments.Although fifth-generation(5G)networks transformed mobile broadband and machine-type communications at massive scales,their properties of scaling,interference management,and latency remain a limitation in dense high mobility settings.To overcome these limitations,artificial intelligence(AI)and unmanned aerial vehicles(UAVs)have emerged as potential solutions to develop versatile,dynamic,and energy-efficient communication systems.The study proposes an AI-based UAV architecture that utilizes cooperative reinforcement learning(CoRL)to manage an autonomous network.The UAVs collaborate by sharing local observations and real-time state exchanges to optimize user connectivity,movement directions,allocate power,and resource distribution.Unlike conventional centralized or autonomous methods,CoRL involves joint state sharing and conflict-sensitive reward shaping,which ensures fair coverage,less interference,and enhanced adaptability in a dynamic urban environment.Simulations conducted in smart city scenarios with 10 UAVs and 50 ground users demonstrate that the proposed CoRL-based UAV system increases user coverage by up to 10%,achieves convergence 40%faster,and reduces latency and energy consumption by 30%compared with centralized and decentralized baselines.Furthermore,the distributed nature of the algorithm ensures scalability and flexibility,making it well-suited for future large-scale 6G deployments.The results highlighted that AI-enabled UAV systems enhance connectivity,support ultra-reliable low-latency communications(URLLC),and improve 6G network efficiency.Future work will extend the framework with adaptive modulation,beamforming-aware positioning,and real-world testbed deployment.
基金supported by the National Natural Science Foundation of China,Nos.82171344(to ZY),82471313(to CKT)the Guangdong Basic and Applied Basic Research Foundation,China,Nos.2023B1515120035,2024A1515012035(to CKT)The Science and Technology Projects in Guangzhou Nos.2025A03J4169(to ZY)。
文摘Stroke-induced alterations in cerebral blood flow trigger neurovascular remodeling,as manifested by the blood-brain barrier dysfunction and subs equent neurovascular repair activities such as angiogenesis.This process involves neurovascular communication that facilitates the transport of mediators among cerebrovascular endothelial cells,pericytes,glial cells,and neurons,thereby transmitting signals from donor to recipient cells to elicit a collaborative response.
基金supported by project Emerging Infectious Diseases One Health Basic and Translational Research Actions addressing Unmet Needs on Emerging Infectious Diseases,INF-ACT,Spoke 1 and Spoke 5,Project number PE00000007,CUP B53C20040570005(to PP and DN).
文摘Introduction:One of the main events that regulate a cell’s well-being is cell-to-cell communication.This intercellular mechanism of information transfer is often mediated by vesicular trafficking.Mitochondrial-derived vesicles(MDVs)are an emerging subpopulation of extracellular vesicle(EV)first discovered in 2008 that allow mitochondria to communicate with their surroundings.
基金supported by the National Natural Science Foundation of China(62202215)Liaoning Province Applied Basic Research Program(Youth Special Project,2023JH2/101600038)+4 种基金Shenyang Youth Science and Technology Innovation Talent Support Program(RC220458)Guangxuan Program of Shenyang Ligong University(SYLUGXRC202216)the Basic Research Special Funds for Undergraduate Universities in Liaoning Province(LJ212410144067)the Natural Science Foundation of Liaoning Province(2024-MS-113)the science and technology funds from Liaoning Education Department(LJKZ0242).
文摘In the field of edge computing,achieving low-latency computational task offloading with limited resources is a critical research challenge,particularly in resource-constrained and latency-sensitive vehicular network environments where rapid response is mandatory for safety-critical applications.In scenarios where edge servers are sparsely deployed,the lack of coordination and information sharing often leads to load imbalance,thereby increasing system latency.Furthermore,in regions without edge server coverage,tasks must be processed locally,which further exacerbates latency issues.To address these challenges,we propose a novel and efficient Deep Reinforcement Learning(DRL)-based approach aimed at minimizing average task latency.The proposed method incorporates three offloading strategies:local computation,direct offloading to the edge server in local region,and device-to-device(D2D)-assisted offloading to edge servers in other regions.We formulate the task offloading process as a complex latency minimization optimization problem.To solve it,we propose an advanced algorithm based on the Dueling Double Deep Q-Network(D3QN)architecture and incorporating the Prioritized Experience Replay(PER)mechanism.Experimental results demonstrate that,compared with existing offloading algorithms,the proposed method significantly reduces average task latency,enhances user experience,and offers an effective strategy for latency optimization in future edge computing systems under dynamic workloads.
基金supported by the National Natural Science Foundation of China,Nos.82404892(to QY),82061160374(to ZZ)the Science and Technology Development Fund,Macao Special Administrative Region,China,Nos.0023/2020/AFJ,0035/2020/AGJ+2 种基金the University of Macao Research Grant,Nos.MYRG2022-00248-ICMS,MYRG-CRG2022-00010-ICMS(to MPMH)the Natural Science Foundation of Guangdong Province,No.2024A1515012818(to ZZ)the Fundamental Research Funds for the Central Universities,No.21623114(to ZZ).
文摘Drug development for Alzheimer’s disease is extremely challenging,as demonstrated by the repeated failures of amyloid-β-targeted therapeutics and the controversies surrounding the amyloid-βcascade hypothesis.More recently,advances in the development of Lecanemab,an anti-amyloid-βmonoclonal antibody,have shown positive results in reducing brain A burden and slowing cognitive decline in patients with early-stage Alzheimer’s disease in the Phase Ⅲ clinical trial(Clarity Alzheimer’s disease).Despite these promising results,side effects such as amyloid-related imaging abnormalities(ARIA)may limit its usage.ARIA can manifest as ARIA-E(cerebral edema or effusions)and ARIA-H(microhemorrhages or superficial siderosis)and is thought to be caused by increased vascular permeability due to inflammatory responses,leading to leakages of blood products and protein-rich fluid into brain parenchyma.Endothelial dysfunction is an early pathological feature of Alzheimer’s disease,and the blood-brain barrier becomes increasingly leaky as the disease progresses.In addition,APOE4,the strongest genetic risk factor for Alzheimer’s disease,is associated with higher vascular amyloid burden,increased ARIA incidence,and accelerated blood-brain barrier disruptions.These interconnected vascular abnormalities highlight the importance of vascular contributions to the pathophysiology of Alzheimer’s disease.Here,we will closely examine recent research evaluating the heterogeneity of brain endothelial cells in the microvasculature of different brain regions and their relationships with Alzheimer’s disease progression.
文摘Founded in September 2020,the International SparkLink Alliance(iSLA)now has approximately 1,200 members in diverse sectors including terminals,homes,vehicles,manufacturing,transportation,finance and healthcare.The iSLA has established a technical standards system for wireless short-range communication covering full-stack standards such as the end-to-end protocol system.
