Objective:This study aimed to investigate the learning expectations of undergraduate nursing students regarding the flipped Health Assessment course.Methods:This descriptive,qualitative study was conducted at a medica...Objective:This study aimed to investigate the learning expectations of undergraduate nursing students regarding the flipped Health Assessment course.Methods:This descriptive,qualitative study was conducted at a medical university in Fuzhou,Fujian Province,China.An interview outline was designed based on the core dimensions of Expectation Confirmation Theory(expectation sources,expectation content,and expectation importance).Thirty second-year undergraduate nursing students who had completed first-year basic medical courses and were about to take the flipped Health Assessment course were interviewed between June and July 2022.Interview data were analyzed using qualitative content analysis.Results:Five major themes and thirteen subthemes were identified.Theme 1 was expectation sourcesperceived learning difficulties from past experiences,which included four subthemes:insufficient autonomous learning ability,confusion regarding learning methods,insufficient engagement in learning,and low professional identity.Theme 2 included knowledge and information expectations,which comprised three subthemes:knowledge to improve professional competence,knowledge to enhance academic competitiveness,and knowledge to boost self-efficacy.Theme 3 comprised logical expectations and included two subthemes:flexible teaching methods and efficient instructional tools.Theme 4,pleasure expectations,included two subthemes:vivid teaching styles and diversified teaching evaluations.Theme 5 comprised professional value expectations and included two subthemes:teachers'responsible professional attitudes and gentle emotional support.Conclusion:Students'learning expectations originate from perceived learning difficulties,such as insufficient learning autonomy and engagement,confusion about learning methods,and a lack of professional identity.They showed various learning expectations for the flipped Health Assessment course,including knowledge and information,logic,pleasure,and professional value expectations.展开更多
In the production processes of modern industry,accurate assessment of the system’s health state and traceability non-optimal factors are key to ensuring“safe,stable,long-term,full load and optimal”operation of the ...In the production processes of modern industry,accurate assessment of the system’s health state and traceability non-optimal factors are key to ensuring“safe,stable,long-term,full load and optimal”operation of the production process.The benzene-to-ethylene ratio control system is a complex system based on anMPC-PID doublelayer architecture.Taking into consideration the interaction between levels,coupling between loops and conditions of incomplete operation data,this paper proposes a health assessment method for the dual-layer control system by comprehensively utilizing deep learning technology.Firstly,according to the results of the pre-assessment of the system layers and loops bymultivariate statisticalmethods,seven characteristic parameters that have a significant impact on the health state of the system are identified.Next,aiming at the problem of incomplete assessment data set due to the uneven distribution of actual system operating health state,the original unbalanced dataset is augmented using aWasserstein generative adversarial network with gradient penalty term,and a complete dataset is obtained to characterise all the health states of the system.On this basis,a new deep learning-based health assessment framework for the benzeneto-ethylene ratio control system is constructed based on traditionalmultivariate statistical assessment.This framework can overcome the shortcomings of the linear weighted fusion related to the coupling and nonlinearity of the subsystem health state at different layers,and reduce the dependence of the prior knowledge.Furthermore,by introducing a dynamic attention mechanism(AM)into the convolutional neural network(CNN),the assessment model integrating both assessment and traceability is constructed,which can achieve the health assessment and trace the non-optimal factors of the complex control systems with the double-layer architecture.Finally,the effectiveness and superiority of the proposed method have been verified by the benzene-ethylene ratio control system of the alkylation process unit in a styrene plant.展开更多
Using the plant of roof garden as an object, the effect of application of plant species, growth status, and health evaluation on the construction of roof garden in east area of Zhengzhou were investigated through the ...Using the plant of roof garden as an object, the effect of application of plant species, growth status, and health evaluation on the construction of roof garden in east area of Zhengzhou were investigated through the investigation and analysis in order to put forward the main problems of each plant species and select the suitable plant species and configuration. The results indicated that there was no significant difference between the roof garden greening plants and ground greening plant species, however, there was a big problem in terms of plant disease and root aeration. And so the root shallow, barren resistance, wind resistance, drought-tolerant plants were appropriately chosen in the construction of roof garden, in which low small trees, shrubs, ground cover, and climbing plants was given priority to.展开更多
Health state of shield tunnels is one of the most important parameters for structure maintenance.Usually,the shield tunnel is extremely long in longitude direction and composed by many segments.It is difficult to quan...Health state of shield tunnels is one of the most important parameters for structure maintenance.Usually,the shield tunnel is extremely long in longitude direction and composed by many segments.It is difficult to quantify the relationship between the structure damage state and shield tunnel structure deformation by the model test because of unpredictable effects of different scales between model test and prototype tunnel structure.Here,an in-situ monitoring project was conducted to study the excavation induced shield tunnel structure damage,which could be considered a prototype test on the tunnel deformation.The disaster performance of tunnel leakage,segment crack,segment dislocation and segment block drop-off during longitude deformation and cross-section ovality developments was analyzed.The results indicate that instead of the longitude deformation,the ovality value has the strongest correlation to the rest disease performance,which could be used as the assessment index of the tunnel health.For this tunnel,it is in health state when the ovality is less than 0.5%,and the serious damage could be found when the ovality value is higher than 0.77%.The research results provide valuable reference to shield tunnel health assessment and help complete the standard of shield tunnel construction.展开更多
A learning management system(LMS)is a software or web based application,commonly utilized for planning,designing,and assessing a particular learning procedure.Generally,the LMS offers a method of creating and deliveri...A learning management system(LMS)is a software or web based application,commonly utilized for planning,designing,and assessing a particular learning procedure.Generally,the LMS offers a method of creating and delivering content to the instructor,monitoring students’involvement,and validating their outcomes.Since mental health issues become common among studies in higher education globally,it is needed to properly determine it to improve mental stabi-lity.This article develops a new seven spot lady bird feature selection with opti-mal sparse autoencoder(SSLBFS-OSAE)model to assess students’mental health on LMS.The major aim of the SSLBFS-OSAE model is to determine the proper health status of the students with respect to depression,anxiety,and stress(DAS).The SSLBFS-OSAE model involves a new SSLBFS model to elect a useful set of features.In addition,OSAE model is applied for the classification of mental health conditions and the performance can be improved by the use of cuckoo search optimization(CSO)based parameter tuning process.The design of CSO algorithm for optimally tuning the SAE parameters results in enhanced classifica-tion outcomes.For examining the improved classifier results of the SSLBFS-OSAE model,a comprehensive results analysis is done and the obtained values highlighted the supremacy of the SSLBFS model over its recent methods interms of different measures.展开更多
Catchments health assessment is fundamental to effective catchments management. Generally, an assessment method should be selected to reflect both the purpose of assessment and local characteristics. A trial in Shangh...Catchments health assessment is fundamental to effective catchments management. Generally, an assessment method should be selected to reflect both the purpose of assessment and local characteristics. A trial in Shanghai was conducted to test the method for catchments health assessment in urbanized fiver network area. Seven indicators that described four dimensions of river, river network, land use and function, and local feature were used to assess catchments values; while possible change rate of urbanization and industrialization in the next 3 years were chosen for catchments pressure assessment in the value-pressure model. Factors related to catchments classification, indicators measurement and protection priority have been considered in the development strategies for catchments health management. The results showed that value-pressure assessment was applicable in urbanized catchments health management, particularly when both human and catchments had multiple demands. As a result of over 30-year rapid urbanization, more than 70% of Shanghai fiver network area was still in a healthy condition with high catchments values, among them, 39.3% was under high pressure. Poor water quality, simplified river system and weakened local feature of fiver pattern had largely affected catchments health in Shanghai. Lack of long-term monitoring data would seriously restrict the development and validity of catchments health assessment.展开更多
In light of the ecological health problem occurring between the plain river reach between Daheiting and the estuary of the Luanhe River, three first-level indicators （river physical characteristic, eco-hydrological c...In light of the ecological health problem occurring between the plain river reach between Daheiting and the estuary of the Luanhe River, three first-level indicators （river physical characteristic, eco-hydrological characteristic and socio-economic features） and corresponding fifteen second-level indicators such as river natural connectivity, water quantity, etc., were employed to establish the analysis hierarchy process （AHP） model. After fitting the AHP model with the data of 2005, the results show that the overall plain river reach health assessment score is 0.698 and the ecology is basically healthy. Moreover, construction of the Panjiakou Reservoir on the river mainstream destroyed the river natural morphologies, and finally contributed to the relatively low scores： 0 and 0.5 for river natural connectivity and river curve degree, respectively. It implicates that measures such as construction of ecological river course and reservoir dispatching should be taken into account in further restoration projects of the Luanhe River.展开更多
By establishing an AHP-based assessment index system and assessment model,and applying detection technology that is convenient and harmless for ancient and famous trees,this paper is significant for investigating and ...By establishing an AHP-based assessment index system and assessment model,and applying detection technology that is convenient and harmless for ancient and famous trees,this paper is significant for investigating and assessing the health state of ancient and famous trees,and protecting the limited resources. Fourteen indexes such as growth vigor,disease and pest were selected from the perspectives of overall situation,canopy,trunk and root,and AHP(applied analytic hierarchy process) was applied to define weights of these indexes. According to the results,top 3 indexes in terms of weight are tree vigor,treetop death,internal decay and hole,while the indexes with lower weight are parasitism,root damage,ventilation and permeability. On the basis of assessment model and method as well as field investigation,health grade of ancient and famous trees(A) can be obtained. By grading the health of ancient and famous trees into 3 levels,each level indicates a certain health state,so managers can take corresponding maintenance measures to develop the best ecological and social value of these trees.展开更多
Using the method of trophic state-composite index(TSI-CI)and the 12 months of monitoring data in 2010,we carry out initial exploration of the status of ecosystem health in Wuli Lake.First,we select four indicators,Chl...Using the method of trophic state-composite index(TSI-CI)and the 12 months of monitoring data in 2010,we carry out initial exploration of the status of ecosystem health in Wuli Lake.First,we select four indicators,Chla,SD,TP and TN,to conduct trophic state assessment using weighted index method;then after selecting physical,chemical and biological indicators to conduct nondimensionalization processing,we calculate the composite index and conduct comprehensive assessment.The results show that in 2010,the status of ecosystem health in Wuli Lake was the best in July,worst in August;when the composite trophic state indicators with Chla as the representative increase or decrease significantly and cross different nutritional grades,TSI will significantly deviate from CI,and the relationship between the two in the other time is not prominent.展开更多
Niligou Reservoir,a typical reservoir in the eastern region of Jilin Province,is subordinate to Niligou River,which is located in the Changbai Mountains in eastern Jilin,with abundant plant and animal resources and we...Niligou Reservoir,a typical reservoir in the eastern region of Jilin Province,is subordinate to Niligou River,which is located in the Changbai Mountains in eastern Jilin,with abundant plant and animal resources and well protected biodiversity in the basin,but there are also some related problems such as fragile ecosystem of forest wetland.This paper carried out a health assessment of Niligou River,including water quality monitoring,aquatic organism monitoring,and riparian zone investigation.According to the requirements of the Technical Guidelines for River and Lake Health Assessment,13 assessment indexes were selected to build a river and lake health assessment index system.By sorting and analyzing the monitoring and investigation data,we got a clear picture of the ecological environment status and existing problems of Niligou Res-ervoir.Based on the actual situation of Niligou River,we evaluated the hydrologic integrity,chemical integrity,morphological and structural integrity,biological integrity and sustainability of social service function,and put forward corresponding countermeasures according to the re-sults,in order to provide a technical support for the health treatment of rivers and lakes in Jilin Province.展开更多
Health assessment is the main course of nursing specialty, which is an applied subject, including health history collection, physical and psychological assessment, laboratory and imaging examination, etc. The clinical...Health assessment is the main course of nursing specialty, which is an applied subject, including health history collection, physical and psychological assessment, laboratory and imaging examination, etc. The clinical practice is very strong. With the development of holistic nursing and community nursing, the requirements for clinical skills of nursing staff are increasingly prominent. Clinical operation skills have always been the focus and difficulty of medical students' education, and the study of physical examination and training in health assessment is a key and difficult point of this course. The physical examination of health assessment has various contents, the basic theory is abstract and boring, the clinical resources for students to practice are scarce, the training hours are relatively few, and the skills training in the limited time is not ideal, all of which increase the difficulty of learning. In this paper, the application of stick figure in health assessment training is discussed from the aspects of teaching methods and effect evaluation, which provides reference for the improvement of this training course.展开更多
Excessive levels of Fluoride(F−)and Cadmium(Cd)in drinking groundwater may pose health risks.This study assessed the health risks associated with F−and Cd contamination in rural drinking groundwater sources in Wutai C...Excessive levels of Fluoride(F−)and Cadmium(Cd)in drinking groundwater may pose health risks.This study assessed the health risks associated with F−and Cd contamination in rural drinking groundwater sources in Wutai County,Shanxi Province,China,to support population health protection,water resource management,and environmental decision-making.Groundwater samples were collected and analyzed,and a Human Health Risk Model(HHRA)was applied to evaluate groundwater quality.The results showed that both contents of F−and Cd in groundwater exceeded the Class III limits of China's national groundwater quality standard(GB/T 14848—2024).Fluoride levels met the Class V threshold,with enrichment area mainly located in the east part of the study area.Cadmium levels reached Class IV,with elevated concentrations primarily observed in the western and northwestern regions.Correlation analysis revealed that F−showed weak or no correlation with other measured substances,indicating independent sources.Health risk assessment results indicated that F−poses potential health risks to rural residents,while cadmium,due to its relatively low concentrations,does not currently present a significant health risk.Among different demographic groups,the health risk levels of F−exposure followed the order:Infants>children>adult females>adult males.The findings highlight that fluoride is the primary contributor to health risks associated with groundwater consumption in the study area.Strengthened monitoring and prevention of F−contamination are urgently needed.This research provides a scientific basis for the prevention and control of fluoride pollution in groundwater and offers practical guidance for safeguarding drinking water safety in rural China.展开更多
The assessment of aquatic environmental health plays a vital role in the sustainable protection and management of coastal ecosystems,particularly in the Yellow River Estuary-one of China's most representative estu...The assessment of aquatic environmental health plays a vital role in the sustainable protection and management of coastal ecosystems,particularly in the Yellow River Estuary-one of China's most representative estuarine systems.To address the limitations of existing health assessment studies,which are often constrained by point-based observations lacking spatial continuity and comprehensiveness,this study integrates multiple remotely sensed surface data to perform a comprehensive health assessment of the nearshore waters of the Yellow River Estuary.An evaluation index system was first developed based on the National Seawater Quality Standards and the specific water quality characteristics of the region.Subsequently,long-term retrievals of key water quality parameters were conducted using Sentinel-2 imagery and in situ measurements from 2016 to 2023,employing the QAA-RF(Quasi-Analytical Algorithm based on Random Forest)algorithm.The Analytic Hierarchy Process(AHP)was used to determine the relative weights of each water quality factor.Through weighted integration,spatially continuous water environmental health assessment datasets were generated,enabling seasonal and annual evaluations and spatiotemporal analyses over the study period.The results indicate that the aquatic environmental health of the nearshore waters exhibits a clear spatial gradient,with poorer water quality in areas closer to the estuary and gradual improvement farther offshore.Seasonal variations are also evident,with poorer water quality observed in spring and winter-reflected by higher proportions of Inferior to Category IV and Category IV water quality(4.07% and 4.65% in spring;1.12% and 3.71% in winter)-and better conditions in summer and autumn(0.51%and 1.42% in summer;0.81% and 2.38% in autumn).On an annual scale,the overall aquatic environmental health of the Yellow River Estuary's nearshore waters remains relatively stable.This study provides a novel,spatially explicit framework for evaluating coastal water environmental health using remote sensing and machine learning approaches.By overcoming the limitations of traditional point-based assessments,it offers valuable insights and a scalable methodology for the continuous monitoring and sustainable management of estuarine and coastal ecosystems.展开更多
Identifying embryos with the highest likelihood of successful implantation is a critical component of the in vitro fertilization(IVF)process.Visual assessments are limited by the subjectivity of embryologists,making c...Identifying embryos with the highest likelihood of successful implantation is a critical component of the in vitro fertilization(IVF)process.Visual assessments are limited by the subjectivity of embryologists,making consistent evaluation of embryo health challenging with traditional methods.Recent advances in artificial intelligence(AI)-particularly in computer vision and deep learning-have enabled the automated analysis of embryo morphology images,reducing subjectivity and improving evaluation efficiency.Through an extensive literature search using keywords such as“embryo health assessment”and“artificial intelligence,”the present review focuses on AI-driven approaches for automated embryo evaluation.It examines AI techniques applied to embryo assessment across the early development,blastocyst,and full developmental stages.This review indicated the promising potential of AI technologies in enhancing the precision,consistency,and speed of embryo selection.AI models have been reported to outperform manual evaluations across several parameters,offering promising opportunities to improve success rates and operational efficiency in reproductive medicine.Additionally,this review discusses the current limitations of AI implementation in clinical settings and explores future research directions.Overall,the review provides insight into AI’s growing role in advancing embryo selection and highlights the path toward fully automated evaluation systems in assisted reproductive technology.展开更多
The assessment of river and lake health is a crucial aspect of waterbody management and serves as an important measure for evaluating the effectiveness of the river and lake chief system.This study focuses on the heal...The assessment of river and lake health is a crucial aspect of waterbody management and serves as an important measure for evaluating the effectiveness of the river and lake chief system.This study focuses on the health assessment of two rivers(Qingyang Port and Changqianlu Port)and five lakes(Wangyang Lake,Changbaidang,Mingjingdang,Tianhuadang,and Dianshan Lake)within Kunshan City in 2023.The assessment is conducted seasonally across four major categories:natural ecology,service functions,disturbance levels,and management effectiveness.Twelve indicators are selected from each of the four criterion layers—basin,water,biological,and social service functions—to evaluate the health of the rivers and lakes.The results indicate an overall excellent health status of the rivers and lakes.Furthermore,key influencing factors are analyzed,health issues are summarized,and relevant recommendations are proposed.展开更多
Understanding the levels,causes,and sources of fluoride in groundwater is critical for public health,effective water resource management,and sustainable utilization.This study employs multivariate statistical methods,...Understanding the levels,causes,and sources of fluoride in groundwater is critical for public health,effective water resource management,and sustainable utilization.This study employs multivariate statistical methods,hazard quotient assessment,and geochemical analyses,such as mineral saturation index,ionic activities,and Gibbs diagrams,to investigate the hydrochemical characteristics,causes,and noncarcinogenic risks of fluoride in Red bed groundwater and geothermal water in the Guang'an area and neighboring regions.Approximately 9%of the Red bed groundwater samples contain fluoride concentrations exceeding 1 mg·L^(-1).The predominant water types identified are Cl-Na and HCO_(3)-Na,primarily influenced by evapotranspiration.Low-fluoride groundwater and high-fluoride geothermal water exhibit distinct hydrochemical types HCO_(3)-Ca and SO_(4)-Ca,respectively,which are mainly related to the weathering of carbonate,sulfate,and fluorite-containing rocks.Correlation analysis reveals that fluoride content in Red bed groundwater is positively associated with Na^(+),Cl^(-),SO_(4)^(2-),and TDS(r^(2)=0.45-0.64,p<0.01),while in geothermal water,it correlates strongly with pH,K^(+),Ca^(2+),and Mg^(2+)(r^(2)=0.52-0.80,p<0.05).Mineral saturation indices and ionic activities indicate that ion exchange processes and the dissolution of minerals such as carbonatite and fluorite are important sources of fluoride in groundwater.The enrichment of fluorine in the Red bed groundwater is linked to evaporation,cation exchange and dissolution of fluorite,caused by the lithologic characteristics of the red bed in this area.However,it exhibits minimal correlation with the geothermal water in the adjacent area.The noncarcinogenic health risk assessment indicates that 7%(n=5)of Red bed groundwater points exceed the fluoride safety limit for adults,while 12%(n=8)exceed the limit for children.These findings underscore the importance of avoiding highly fluoridated red bed groundwater as a direct drinking source and enhancing groundwater monitoring to mitigate health risks associated with elevated fluoride levels.展开更多
The primary objective of this study is to measure fluoride levels in groundwater samples using machine learning approaches alongside traditional and fuzzy logic models based health risk assessment in the hard rock Arj...The primary objective of this study is to measure fluoride levels in groundwater samples using machine learning approaches alongside traditional and fuzzy logic models based health risk assessment in the hard rock Arjunanadi River basin,South India.Fluoride levels in the study area vary between 0.1 and 3.10 mg/L,with 32 samples exceeding the World Health Organization(WHO)standard of 1.5 mg/L.Hydrogeochemical analyses(Durov and Gibbs)clearly show that the overall water chemistry is primarily influenced by simple dissolution,mixing,and rock-water interactions,indicating that geogenic sources are the predominant contributors to fluoride in the study area.Around 446.5 km^(2)is considered at risk.In predictive analysis,five Machine Learning(ML)models were used,with the AdaBoost model performing better than the other models,achieving 96%accuracy and 4%error rate.The Traditional Health Risk Assessment(THRA)results indicate that 65%of samples pose highly susceptible for dental fluorosis,while 12%of samples pose highly susceptible for skeletal fluorosis in young age groups.The Fuzzy Inference System(FIS)model effectively manages ambiguity and linguistic factors,which are crucial when addressing health risks linked to groundwater fluoride contamination.In this model,input variables include fluoride concentration,individual age,and ingestion rate,while output variables consist of dental caries risk,dental fluorosis,and skeletal fluorosis.The overall results indicate that increased ingestion rates and prolonged exposure to contaminated water make adults and the elderly people vulnerable to dental and skeletal fluorosis,along with very young and young age groups.This study is an essential resource for local authorities,healthcare officials,and communities,aiding in the mitigation of health risks associated with groundwater contamination and enhancing quality of life through improved water management and health risk assessment,aligning with Sustainable Development Goals(SDGs)3 and 6,thereby contributing to a cleaner and healthier society.展开更多
Coal mining predisposes soils to heavy metal(HM)accumulation,which adversely affects the ecological environment and human health,particularly in extremely arid and vulnerable areas.In this study,soil samples were gath...Coal mining predisposes soils to heavy metal(HM)accumulation,which adversely affects the ecological environment and human health,particularly in extremely arid and vulnerable areas.In this study,soil samples were gathered from the Black Mountain Open Pit Coal Mine in Turpan City,Northwest China to determine the health risk of heavy metals(HMs).Results showed that positive matrix factorization model divided the sources of soil HMs into four categories,i.e.,natural and animal husbandry(43.46%),industrial transportation(22.87%),fossil fuel combustion(10.64%),and atmospheric deposition and domestic pollution(23.03%).All kinds of pollution evaluation indices showed that Cd(cadmium)and Pb(plumbum)pollution was evident.The Monte Carlo simulated health risk assessment results showed that 4.00%non-carcinogenic risk and 12.00%carcinogenic risk were posed to children,and the positive matrix factorization-based health risk assessment showed that fossil fuel combustion had the highest contribution to the health risks to adults and children,while industrial transportation was the lowest.In this study,the risks of HMs in the soil of mining area were analyzed using source analysis,which not only provides reliable data support for the prevention and control of HM pollution in the soil of this arid mining area,but also provides a theoretical basis for subsequent regional research.展开更多
INTRODUCTION Contemporary human living environments present complex and pervasive health risks,and environmental health challenges are becoming increasingly prominent.These risks encompass diverse domains,such as chem...INTRODUCTION Contemporary human living environments present complex and pervasive health risks,and environmental health challenges are becoming increasingly prominent.These risks encompass diverse domains,such as chemical factors(e.g.,heavy metals,nanomaterials,per-and polyfluoroalkyl substances),physical factors(e.g.,noise,radiation,and extreme weather)biological factors(e.g.,pathogenic microorganisms and parasites),natural disasters(e.g.,earthquakes and floods),and anthropogenic incidents(e.g.,chemical spills,fires,and explosions).展开更多
Atmospheric black carbon(BC)significantly impacts climate change,atmospheric environment,and human health.To explore the temporal variation of BC concentration and its health effects during different periods in urban ...Atmospheric black carbon(BC)significantly impacts climate change,atmospheric environment,and human health.To explore the temporal variation of BC concentration and its health effects during different periods in urban Jinan from 2021 to 2022,we analyzed BC concentration characteristics and assessed the population exposure risk using Monte Carlo simulation.Additionally,we studied the role of driving factors on BC using SHapley Additive exPlanations interpretation algorithm.A clear temporal trend was observed in BC levels,with the highest BC concentration in winter(2.40±1.76μg/m^(3))and the lowest in summer(1.46±0.89μg/m^(3)),and a bimodal pattern in diurnal variation.Our results indicated that the carcinogenic risk of BC for adults exceeded the acceptable threshold in winter.With emissions playing a dominant role,meteorological conditions also significantly affected BC,with wind speed,relative humidity,and boundary layer height playing major roles in variations of BC concentration.Meteorological conditions during the haze periods favored BC accumulation,hours with elevated PM_(2.5) levels were associated with high BC concentrations and increased carcinogenic effects.Understanding the temporal variations and drivers of BC is crucial for formulating effective policies to mitigate air pollution.Our study may provide theoretical methods and practical guidance for addressing BC levels under varying meteorological conditions and enhance understanding of atmospheric characteristics and population exposure to BC.展开更多
基金This research received grant from 2022 Undergraduate Education and Teaching Research Project of Fujian Medical University(22028).
文摘Objective:This study aimed to investigate the learning expectations of undergraduate nursing students regarding the flipped Health Assessment course.Methods:This descriptive,qualitative study was conducted at a medical university in Fuzhou,Fujian Province,China.An interview outline was designed based on the core dimensions of Expectation Confirmation Theory(expectation sources,expectation content,and expectation importance).Thirty second-year undergraduate nursing students who had completed first-year basic medical courses and were about to take the flipped Health Assessment course were interviewed between June and July 2022.Interview data were analyzed using qualitative content analysis.Results:Five major themes and thirteen subthemes were identified.Theme 1 was expectation sourcesperceived learning difficulties from past experiences,which included four subthemes:insufficient autonomous learning ability,confusion regarding learning methods,insufficient engagement in learning,and low professional identity.Theme 2 included knowledge and information expectations,which comprised three subthemes:knowledge to improve professional competence,knowledge to enhance academic competitiveness,and knowledge to boost self-efficacy.Theme 3 comprised logical expectations and included two subthemes:flexible teaching methods and efficient instructional tools.Theme 4,pleasure expectations,included two subthemes:vivid teaching styles and diversified teaching evaluations.Theme 5 comprised professional value expectations and included two subthemes:teachers'responsible professional attitudes and gentle emotional support.Conclusion:Students'learning expectations originate from perceived learning difficulties,such as insufficient learning autonomy and engagement,confusion about learning methods,and a lack of professional identity.They showed various learning expectations for the flipped Health Assessment course,including knowledge and information,logic,pleasure,and professional value expectations.
基金supported by the National Science Foundation of China(62263020)the Key Project of Natural Science Foundation of Gansu Province(25JRRA061)+1 种基金the Key R&D Program of Gansu Province(23YFGA0061)the Scientific Research Initiation Fund of Lanzhou University of Technology(061602).
文摘In the production processes of modern industry,accurate assessment of the system’s health state and traceability non-optimal factors are key to ensuring“safe,stable,long-term,full load and optimal”operation of the production process.The benzene-to-ethylene ratio control system is a complex system based on anMPC-PID doublelayer architecture.Taking into consideration the interaction between levels,coupling between loops and conditions of incomplete operation data,this paper proposes a health assessment method for the dual-layer control system by comprehensively utilizing deep learning technology.Firstly,according to the results of the pre-assessment of the system layers and loops bymultivariate statisticalmethods,seven characteristic parameters that have a significant impact on the health state of the system are identified.Next,aiming at the problem of incomplete assessment data set due to the uneven distribution of actual system operating health state,the original unbalanced dataset is augmented using aWasserstein generative adversarial network with gradient penalty term,and a complete dataset is obtained to characterise all the health states of the system.On this basis,a new deep learning-based health assessment framework for the benzeneto-ethylene ratio control system is constructed based on traditionalmultivariate statistical assessment.This framework can overcome the shortcomings of the linear weighted fusion related to the coupling and nonlinearity of the subsystem health state at different layers,and reduce the dependence of the prior knowledge.Furthermore,by introducing a dynamic attention mechanism(AM)into the convolutional neural network(CNN),the assessment model integrating both assessment and traceability is constructed,which can achieve the health assessment and trace the non-optimal factors of the complex control systems with the double-layer architecture.Finally,the effectiveness and superiority of the proposed method have been verified by the benzene-ethylene ratio control system of the alkylation process unit in a styrene plant.
基金Supported by Science&Technology Key Program of Education Department of Henan Province(14B220001)~~
文摘Using the plant of roof garden as an object, the effect of application of plant species, growth status, and health evaluation on the construction of roof garden in east area of Zhengzhou were investigated through the investigation and analysis in order to put forward the main problems of each plant species and select the suitable plant species and configuration. The results indicated that there was no significant difference between the roof garden greening plants and ground greening plant species, however, there was a big problem in terms of plant disease and root aeration. And so the root shallow, barren resistance, wind resistance, drought-tolerant plants were appropriately chosen in the construction of roof garden, in which low small trees, shrubs, ground cover, and climbing plants was given priority to.
基金Projects(BK20150337,BK20140845,BK20140844)supported by the Natural Science Foundation of Jiangsu Province,ChinaProject(2015Y04)supported by the Transportation Science and Technology Project of Jiangsu Province,China+1 种基金Project(41504081)supported by the National Natural Science Foundation of ChinaProjects(2014M561567,2016T90416)supported by the China Postdoctoral Science Foundation
文摘Health state of shield tunnels is one of the most important parameters for structure maintenance.Usually,the shield tunnel is extremely long in longitude direction and composed by many segments.It is difficult to quantify the relationship between the structure damage state and shield tunnel structure deformation by the model test because of unpredictable effects of different scales between model test and prototype tunnel structure.Here,an in-situ monitoring project was conducted to study the excavation induced shield tunnel structure damage,which could be considered a prototype test on the tunnel deformation.The disaster performance of tunnel leakage,segment crack,segment dislocation and segment block drop-off during longitude deformation and cross-section ovality developments was analyzed.The results indicate that instead of the longitude deformation,the ovality value has the strongest correlation to the rest disease performance,which could be used as the assessment index of the tunnel health.For this tunnel,it is in health state when the ovality is less than 0.5%,and the serious damage could be found when the ovality value is higher than 0.77%.The research results provide valuable reference to shield tunnel health assessment and help complete the standard of shield tunnel construction.
基金supported by the Researchers Supporting Program(TUMA-Project-2021-31)supported by the Researchers Supporting Program(TUMA-Project-2021-27)Almaarefa University,Riyadh,Saudi Arabia.
文摘A learning management system(LMS)is a software or web based application,commonly utilized for planning,designing,and assessing a particular learning procedure.Generally,the LMS offers a method of creating and delivering content to the instructor,monitoring students’involvement,and validating their outcomes.Since mental health issues become common among studies in higher education globally,it is needed to properly determine it to improve mental stabi-lity.This article develops a new seven spot lady bird feature selection with opti-mal sparse autoencoder(SSLBFS-OSAE)model to assess students’mental health on LMS.The major aim of the SSLBFS-OSAE model is to determine the proper health status of the students with respect to depression,anxiety,and stress(DAS).The SSLBFS-OSAE model involves a new SSLBFS model to elect a useful set of features.In addition,OSAE model is applied for the classification of mental health conditions and the performance can be improved by the use of cuckoo search optimization(CSO)based parameter tuning process.The design of CSO algorithm for optimally tuning the SAE parameters results in enhanced classifica-tion outcomes.For examining the improved classifier results of the SSLBFS-OSAE model,a comprehensive results analysis is done and the obtained values highlighted the supremacy of the SSLBFS model over its recent methods interms of different measures.
基金Under the auspices of Shanghai Natural Science Foundation (No. 09ZR1409100)National Natural Science Foundation of China (No. 40871016)Key Program of National Natural Science Foundation of China (No. 40730526)
文摘Catchments health assessment is fundamental to effective catchments management. Generally, an assessment method should be selected to reflect both the purpose of assessment and local characteristics. A trial in Shanghai was conducted to test the method for catchments health assessment in urbanized fiver network area. Seven indicators that described four dimensions of river, river network, land use and function, and local feature were used to assess catchments values; while possible change rate of urbanization and industrialization in the next 3 years were chosen for catchments pressure assessment in the value-pressure model. Factors related to catchments classification, indicators measurement and protection priority have been considered in the development strategies for catchments health management. The results showed that value-pressure assessment was applicable in urbanized catchments health management, particularly when both human and catchments had multiple demands. As a result of over 30-year rapid urbanization, more than 70% of Shanghai fiver network area was still in a healthy condition with high catchments values, among them, 39.3% was under high pressure. Poor water quality, simplified river system and weakened local feature of fiver pattern had largely affected catchments health in Shanghai. Lack of long-term monitoring data would seriously restrict the development and validity of catchments health assessment.
基金Supported by Central Public-Interest Scientific Institution Basal Research Fund (YWF0724/SL01)
文摘In light of the ecological health problem occurring between the plain river reach between Daheiting and the estuary of the Luanhe River, three first-level indicators （river physical characteristic, eco-hydrological characteristic and socio-economic features） and corresponding fifteen second-level indicators such as river natural connectivity, water quantity, etc., were employed to establish the analysis hierarchy process （AHP） model. After fitting the AHP model with the data of 2005, the results show that the overall plain river reach health assessment score is 0.698 and the ecology is basically healthy. Moreover, construction of the Panjiakou Reservoir on the river mainstream destroyed the river natural morphologies, and finally contributed to the relatively low scores： 0 and 0.5 for river natural connectivity and river curve degree, respectively. It implicates that measures such as construction of ecological river course and reservoir dispatching should be taken into account in further restoration projects of the Luanhe River.
基金Sponsored by Scientific and Technological Program of Dongguan Universities,Colleges and Scientific Research Institutes(201210820100491)
文摘By establishing an AHP-based assessment index system and assessment model,and applying detection technology that is convenient and harmless for ancient and famous trees,this paper is significant for investigating and assessing the health state of ancient and famous trees,and protecting the limited resources. Fourteen indexes such as growth vigor,disease and pest were selected from the perspectives of overall situation,canopy,trunk and root,and AHP(applied analytic hierarchy process) was applied to define weights of these indexes. According to the results,top 3 indexes in terms of weight are tree vigor,treetop death,internal decay and hole,while the indexes with lower weight are parasitism,root damage,ventilation and permeability. On the basis of assessment model and method as well as field investigation,health grade of ancient and famous trees(A) can be obtained. By grading the health of ancient and famous trees into 3 levels,each level indicates a certain health state,so managers can take corresponding maintenance measures to develop the best ecological and social value of these trees.
基金Supported by Project of Wuxi Municipal Development and Reform Commission(2115019)
文摘Using the method of trophic state-composite index(TSI-CI)and the 12 months of monitoring data in 2010,we carry out initial exploration of the status of ecosystem health in Wuli Lake.First,we select four indicators,Chla,SD,TP and TN,to conduct trophic state assessment using weighted index method;then after selecting physical,chemical and biological indicators to conduct nondimensionalization processing,we calculate the composite index and conduct comprehensive assessment.The results show that in 2010,the status of ecosystem health in Wuli Lake was the best in July,worst in August;when the composite trophic state indicators with Chla as the representative increase or decrease significantly and cross different nutritional grades,TSI will significantly deviate from CI,and the relationship between the two in the other time is not prominent.
文摘Niligou Reservoir,a typical reservoir in the eastern region of Jilin Province,is subordinate to Niligou River,which is located in the Changbai Mountains in eastern Jilin,with abundant plant and animal resources and well protected biodiversity in the basin,but there are also some related problems such as fragile ecosystem of forest wetland.This paper carried out a health assessment of Niligou River,including water quality monitoring,aquatic organism monitoring,and riparian zone investigation.According to the requirements of the Technical Guidelines for River and Lake Health Assessment,13 assessment indexes were selected to build a river and lake health assessment index system.By sorting and analyzing the monitoring and investigation data,we got a clear picture of the ecological environment status and existing problems of Niligou Res-ervoir.Based on the actual situation of Niligou River,we evaluated the hydrologic integrity,chemical integrity,morphological and structural integrity,biological integrity and sustainability of social service function,and put forward corresponding countermeasures according to the re-sults,in order to provide a technical support for the health treatment of rivers and lakes in Jilin Province.
文摘Health assessment is the main course of nursing specialty, which is an applied subject, including health history collection, physical and psychological assessment, laboratory and imaging examination, etc. The clinical practice is very strong. With the development of holistic nursing and community nursing, the requirements for clinical skills of nursing staff are increasingly prominent. Clinical operation skills have always been the focus and difficulty of medical students' education, and the study of physical examination and training in health assessment is a key and difficult point of this course. The physical examination of health assessment has various contents, the basic theory is abstract and boring, the clinical resources for students to practice are scarce, the training hours are relatively few, and the skills training in the limited time is not ideal, all of which increase the difficulty of learning. In this paper, the application of stick figure in health assessment training is discussed from the aspects of teaching methods and effect evaluation, which provides reference for the improvement of this training course.
基金supported by the Northeast Geological Science and Technology Innovation Center of China Geological Survey(Grant NO.QCJJ2022-43)the Natural Resources Comprehensive Survey Project(Grant Nos.DD20230470,DD20230508)the National Groundwater Monitoring Network Operation and Maintenance Program(Grant No.DD20251300109).
文摘Excessive levels of Fluoride(F−)and Cadmium(Cd)in drinking groundwater may pose health risks.This study assessed the health risks associated with F−and Cd contamination in rural drinking groundwater sources in Wutai County,Shanxi Province,China,to support population health protection,water resource management,and environmental decision-making.Groundwater samples were collected and analyzed,and a Human Health Risk Model(HHRA)was applied to evaluate groundwater quality.The results showed that both contents of F−and Cd in groundwater exceeded the Class III limits of China's national groundwater quality standard(GB/T 14848—2024).Fluoride levels met the Class V threshold,with enrichment area mainly located in the east part of the study area.Cadmium levels reached Class IV,with elevated concentrations primarily observed in the western and northwestern regions.Correlation analysis revealed that F−showed weak or no correlation with other measured substances,indicating independent sources.Health risk assessment results indicated that F−poses potential health risks to rural residents,while cadmium,due to its relatively low concentrations,does not currently present a significant health risk.Among different demographic groups,the health risk levels of F−exposure followed the order:Infants>children>adult females>adult males.The findings highlight that fluoride is the primary contributor to health risks associated with groundwater consumption in the study area.Strengthened monitoring and prevention of F−contamination are urgently needed.This research provides a scientific basis for the prevention and control of fluoride pollution in groundwater and offers practical guidance for safeguarding drinking water safety in rural China.
基金supported by the National Natural Science Foundation of China(No.42376193)the National Key Research and Development Program of China(No.2022YFC3103102)the Innovative Research Program of the International Research Center of Big Data for Sustainable Development Goals(No.CBAS2022IRP05)。
文摘The assessment of aquatic environmental health plays a vital role in the sustainable protection and management of coastal ecosystems,particularly in the Yellow River Estuary-one of China's most representative estuarine systems.To address the limitations of existing health assessment studies,which are often constrained by point-based observations lacking spatial continuity and comprehensiveness,this study integrates multiple remotely sensed surface data to perform a comprehensive health assessment of the nearshore waters of the Yellow River Estuary.An evaluation index system was first developed based on the National Seawater Quality Standards and the specific water quality characteristics of the region.Subsequently,long-term retrievals of key water quality parameters were conducted using Sentinel-2 imagery and in situ measurements from 2016 to 2023,employing the QAA-RF(Quasi-Analytical Algorithm based on Random Forest)algorithm.The Analytic Hierarchy Process(AHP)was used to determine the relative weights of each water quality factor.Through weighted integration,spatially continuous water environmental health assessment datasets were generated,enabling seasonal and annual evaluations and spatiotemporal analyses over the study period.The results indicate that the aquatic environmental health of the nearshore waters exhibits a clear spatial gradient,with poorer water quality in areas closer to the estuary and gradual improvement farther offshore.Seasonal variations are also evident,with poorer water quality observed in spring and winter-reflected by higher proportions of Inferior to Category IV and Category IV water quality(4.07% and 4.65% in spring;1.12% and 3.71% in winter)-and better conditions in summer and autumn(0.51%and 1.42% in summer;0.81% and 2.38% in autumn).On an annual scale,the overall aquatic environmental health of the Yellow River Estuary's nearshore waters remains relatively stable.This study provides a novel,spatially explicit framework for evaluating coastal water environmental health using remote sensing and machine learning approaches.By overcoming the limitations of traditional point-based assessments,it offers valuable insights and a scalable methodology for the continuous monitoring and sustainable management of estuarine and coastal ecosystems.
基金supported in part by the National Natural Science Foundation of China(No.61905033)in part by the Chongqing Provincial Natural Science Foundation of China(No.cstc2018jcyjAX0314).
文摘Identifying embryos with the highest likelihood of successful implantation is a critical component of the in vitro fertilization(IVF)process.Visual assessments are limited by the subjectivity of embryologists,making consistent evaluation of embryo health challenging with traditional methods.Recent advances in artificial intelligence(AI)-particularly in computer vision and deep learning-have enabled the automated analysis of embryo morphology images,reducing subjectivity and improving evaluation efficiency.Through an extensive literature search using keywords such as“embryo health assessment”and“artificial intelligence,”the present review focuses on AI-driven approaches for automated embryo evaluation.It examines AI techniques applied to embryo assessment across the early development,blastocyst,and full developmental stages.This review indicated the promising potential of AI technologies in enhancing the precision,consistency,and speed of embryo selection.AI models have been reported to outperform manual evaluations across several parameters,offering promising opportunities to improve success rates and operational efficiency in reproductive medicine.Additionally,this review discusses the current limitations of AI implementation in clinical settings and explores future research directions.Overall,the review provides insight into AI’s growing role in advancing embryo selection and highlights the path toward fully automated evaluation systems in assisted reproductive technology.
文摘The assessment of river and lake health is a crucial aspect of waterbody management and serves as an important measure for evaluating the effectiveness of the river and lake chief system.This study focuses on the health assessment of two rivers(Qingyang Port and Changqianlu Port)and five lakes(Wangyang Lake,Changbaidang,Mingjingdang,Tianhuadang,and Dianshan Lake)within Kunshan City in 2023.The assessment is conducted seasonally across four major categories:natural ecology,service functions,disturbance levels,and management effectiveness.Twelve indicators are selected from each of the four criterion layers—basin,water,biological,and social service functions—to evaluate the health of the rivers and lakes.The results indicate an overall excellent health status of the rivers and lakes.Furthermore,key influencing factors are analyzed,health issues are summarized,and relevant recommendations are proposed.
基金supported by the China Geological Survey Project(Nos.DD20220864 and DD20243077).
文摘Understanding the levels,causes,and sources of fluoride in groundwater is critical for public health,effective water resource management,and sustainable utilization.This study employs multivariate statistical methods,hazard quotient assessment,and geochemical analyses,such as mineral saturation index,ionic activities,and Gibbs diagrams,to investigate the hydrochemical characteristics,causes,and noncarcinogenic risks of fluoride in Red bed groundwater and geothermal water in the Guang'an area and neighboring regions.Approximately 9%of the Red bed groundwater samples contain fluoride concentrations exceeding 1 mg·L^(-1).The predominant water types identified are Cl-Na and HCO_(3)-Na,primarily influenced by evapotranspiration.Low-fluoride groundwater and high-fluoride geothermal water exhibit distinct hydrochemical types HCO_(3)-Ca and SO_(4)-Ca,respectively,which are mainly related to the weathering of carbonate,sulfate,and fluorite-containing rocks.Correlation analysis reveals that fluoride content in Red bed groundwater is positively associated with Na^(+),Cl^(-),SO_(4)^(2-),and TDS(r^(2)=0.45-0.64,p<0.01),while in geothermal water,it correlates strongly with pH,K^(+),Ca^(2+),and Mg^(2+)(r^(2)=0.52-0.80,p<0.05).Mineral saturation indices and ionic activities indicate that ion exchange processes and the dissolution of minerals such as carbonatite and fluorite are important sources of fluoride in groundwater.The enrichment of fluorine in the Red bed groundwater is linked to evaporation,cation exchange and dissolution of fluorite,caused by the lithologic characteristics of the red bed in this area.However,it exhibits minimal correlation with the geothermal water in the adjacent area.The noncarcinogenic health risk assessment indicates that 7%(n=5)of Red bed groundwater points exceed the fluoride safety limit for adults,while 12%(n=8)exceed the limit for children.These findings underscore the importance of avoiding highly fluoridated red bed groundwater as a direct drinking source and enhancing groundwater monitoring to mitigate health risks associated with elevated fluoride levels.
基金the Anusandhan National Research Foundation(ANRF),New Delhi[Erstwhile,Science and Engineering Research Board(SERB)]Department of Science and Technology(DST)(Government of India)(File No.:CRG/2022/002618 Dated:22.08.2023)for providing the grant and support to carry out this work effectively.
文摘The primary objective of this study is to measure fluoride levels in groundwater samples using machine learning approaches alongside traditional and fuzzy logic models based health risk assessment in the hard rock Arjunanadi River basin,South India.Fluoride levels in the study area vary between 0.1 and 3.10 mg/L,with 32 samples exceeding the World Health Organization(WHO)standard of 1.5 mg/L.Hydrogeochemical analyses(Durov and Gibbs)clearly show that the overall water chemistry is primarily influenced by simple dissolution,mixing,and rock-water interactions,indicating that geogenic sources are the predominant contributors to fluoride in the study area.Around 446.5 km^(2)is considered at risk.In predictive analysis,five Machine Learning(ML)models were used,with the AdaBoost model performing better than the other models,achieving 96%accuracy and 4%error rate.The Traditional Health Risk Assessment(THRA)results indicate that 65%of samples pose highly susceptible for dental fluorosis,while 12%of samples pose highly susceptible for skeletal fluorosis in young age groups.The Fuzzy Inference System(FIS)model effectively manages ambiguity and linguistic factors,which are crucial when addressing health risks linked to groundwater fluoride contamination.In this model,input variables include fluoride concentration,individual age,and ingestion rate,while output variables consist of dental caries risk,dental fluorosis,and skeletal fluorosis.The overall results indicate that increased ingestion rates and prolonged exposure to contaminated water make adults and the elderly people vulnerable to dental and skeletal fluorosis,along with very young and young age groups.This study is an essential resource for local authorities,healthcare officials,and communities,aiding in the mitigation of health risks associated with groundwater contamination and enhancing quality of life through improved water management and health risk assessment,aligning with Sustainable Development Goals(SDGs)3 and 6,thereby contributing to a cleaner and healthier society.
基金supported by the Third Xinjiang Scientific Expedition Project(2021XJKK1104),i.e.,the Investigation and Assessment of the Effects of Energy and Mineral Resource Development in Turpan Basin on Regional Ecological Environment。
文摘Coal mining predisposes soils to heavy metal(HM)accumulation,which adversely affects the ecological environment and human health,particularly in extremely arid and vulnerable areas.In this study,soil samples were gathered from the Black Mountain Open Pit Coal Mine in Turpan City,Northwest China to determine the health risk of heavy metals(HMs).Results showed that positive matrix factorization model divided the sources of soil HMs into four categories,i.e.,natural and animal husbandry(43.46%),industrial transportation(22.87%),fossil fuel combustion(10.64%),and atmospheric deposition and domestic pollution(23.03%).All kinds of pollution evaluation indices showed that Cd(cadmium)and Pb(plumbum)pollution was evident.The Monte Carlo simulated health risk assessment results showed that 4.00%non-carcinogenic risk and 12.00%carcinogenic risk were posed to children,and the positive matrix factorization-based health risk assessment showed that fossil fuel combustion had the highest contribution to the health risks to adults and children,while industrial transportation was the lowest.In this study,the risks of HMs in the soil of mining area were analyzed using source analysis,which not only provides reliable data support for the prevention and control of HM pollution in the soil of this arid mining area,but also provides a theoretical basis for subsequent regional research.
基金supported by the commissioned project of the Department of Health and Immunization Planning under the National Disease Control and Prevention Administration(No.BX2024100800015)The preliminary study project on standardization of the Chinese Center for Disease Control and Prevention(No.BZ2025-Q155)The National Natural Science Foundation of China(No.82404299).
文摘INTRODUCTION Contemporary human living environments present complex and pervasive health risks,and environmental health challenges are becoming increasingly prominent.These risks encompass diverse domains,such as chemical factors(e.g.,heavy metals,nanomaterials,per-and polyfluoroalkyl substances),physical factors(e.g.,noise,radiation,and extreme weather)biological factors(e.g.,pathogenic microorganisms and parasites),natural disasters(e.g.,earthquakes and floods),and anthropogenic incidents(e.g.,chemical spills,fires,and explosions).
文摘Atmospheric black carbon(BC)significantly impacts climate change,atmospheric environment,and human health.To explore the temporal variation of BC concentration and its health effects during different periods in urban Jinan from 2021 to 2022,we analyzed BC concentration characteristics and assessed the population exposure risk using Monte Carlo simulation.Additionally,we studied the role of driving factors on BC using SHapley Additive exPlanations interpretation algorithm.A clear temporal trend was observed in BC levels,with the highest BC concentration in winter(2.40±1.76μg/m^(3))and the lowest in summer(1.46±0.89μg/m^(3)),and a bimodal pattern in diurnal variation.Our results indicated that the carcinogenic risk of BC for adults exceeded the acceptable threshold in winter.With emissions playing a dominant role,meteorological conditions also significantly affected BC,with wind speed,relative humidity,and boundary layer height playing major roles in variations of BC concentration.Meteorological conditions during the haze periods favored BC accumulation,hours with elevated PM_(2.5) levels were associated with high BC concentrations and increased carcinogenic effects.Understanding the temporal variations and drivers of BC is crucial for formulating effective policies to mitigate air pollution.Our study may provide theoretical methods and practical guidance for addressing BC levels under varying meteorological conditions and enhance understanding of atmospheric characteristics and population exposure to BC.
