This paper takes the water body of Daliao River-Liaodong Bay as the research object,divides it into three regions:river,estuary,and offshore,and analyzes the changes of antibiotics and antibiotic resistance genes(ARGs...This paper takes the water body of Daliao River-Liaodong Bay as the research object,divides it into three regions:river,estuary,and offshore,and analyzes the changes of antibiotics and antibiotic resistance genes(ARGs)from inland rivers to the sea and the environmental impact factors from this perspective.The results showed that in general,the pollution of antibiotics and ARGs in Daliao River-Liaodong Bay belonged to the medium-low level,and levels of antibiotics and ARGs were nd–106.23 ng/L and nd–1.95×10^(8)copies/L,respectively.The concentrations and types of antibiotics and ARGs decreased from inland to sea regions.Analysis of the distributional characteristics of antibiotics and ARGs from a regionalized perspective revealed significant differences among the three regions in sulfonamide antibiotics,tetracycline antibiotics,and dominant ARGs.Sulfonamide antibiotic levels were significantly higher in the estuarine zone than in the riverine and offshore zones;tetracycline antibiotic levels were significantly higher in the riverine and estuarine zones than in the offshore zone.Aminoglycosides were dominant in the riverine and estuarine zones,and macrolides were dominant in the offshore zone.We characterized the effects of environmental factors on the assignment of antibiotics and ARGs and found that overall temperature contributed the most to variation in antibiotics and ARGs;the contribution of dissolved oxygen was the lowest.The estuarine zone was most affected by these factors,followed by the offshore zone and finally the riverine zone.展开更多
Environment serves as the pivotal medium to produce fermented food,with fluctuations in environmental factors exerting a profound impact on the modulation of fermentation microbial communities.Such shifts are crucial ...Environment serves as the pivotal medium to produce fermented food,with fluctuations in environmental factors exerting a profound impact on the modulation of fermentation microbial communities.Such shifts are crucial for the distinctiveness of fermented food flavor and the variability in quality.Chinese liquor(Baijiu)is one of the typical representatives of spontaneous fermented food.In this review,the multifaceted relationship between regional environmental attributes and the fermentation dynamics of Baijiu was examined,with a spotlight on the strong-flavor,sauce-flavor,and light-flavor varieties.It reveals the influence of regional environmental factors and brewing environmental factors on microbial function and metabolism,which results in the formation of unique flavor characteristics of Baijiu.The 9 main factors affecting the microecology of Baijiu fermentation were further explored,including environmental sensitivity,microbial interactions,biogeographic patterns,and key abiotic factors such as temperature and humidity.Environmental factor management is crucial for controlling microbial community in fermentation.Intelligent detection of the fermentation system is combined with artificial intelligence to realize the digitalization of Baijiu fermentation,with a view to further studying the environmental mechanism or quantitative control relationship of natural fermentation,improving the environmental stability of natural fermentation,and promoting the mechanization and intelligence of fermentation production.展开更多
Despite the widespread presence and frequent detection of polycyclic aromatic hydrocarbons(PAHs)in various aspects of life,there is limited research on their exposure levels in pregnant women and cumulative exposure f...Despite the widespread presence and frequent detection of polycyclic aromatic hydrocarbons(PAHs)in various aspects of life,there is limited research on their exposure levels in pregnant women and cumulative exposure from the living environment.This study included 1311 women in late pregnancy from the Zunyi birth cohort and measured the urinary concentrations of 10 hydroxylated PAH metabolites(OH-PAHs).Risk assessment was conducted based on the estimated daily intake to calculate the hazard quotient and hazard index(HI).A linear regression model was used to analyze the relationship between creatinine-adjusted OH-PAHs concentrations and living environment and lifestyle factors,while principal component analysis was applied to trace the sources of PAHs exposure.1-OHPYR was detected in all participants’urine,with naphthalene metabolites having the highest concentrations among creatinine-adjusted PAHs.OH-PAHs concentrations were associated with housing type,room number,cooking frequency,household size,exercise frequency,fuel type,distance from main road,and drinking water source.Pregnant women using traditional fuels and living in bungalows had higher health risks than those using clean energy and living in buildings.Those living within 100 m of a main road had higher HI than those farther away.Coal combustion was identified as the primary source of PAHs exposure.The study emphasizes the importance of reducing PAHs exposure,especially for pregnant women living in polluted environments.It recommends public health interventions such as improving indoor ventilation and providing clean energy to reduce related health risks.展开更多
The Qingtongxia Irrigation District in Ningxia is an important hydrological and ecological region.To assess its ecological environment quality from 2001 to 2021 across multiple scales and identify driving factors,a mo...The Qingtongxia Irrigation District in Ningxia is an important hydrological and ecological region.To assess its ecological environment quality from 2001 to 2021 across multiple scales and identify driving factors,a modified remote sensing ecological index(MRSEI)was developed by incorporating evapotranspiration.Spatial and temporal patterns were analyzed using the coefficient of variation,spatial autocorrelation,and semi-variogram methods,while influencing factors were explored via the optimal parameter geographical detector model.The MRSEI’s first principal component loadings and rankings aligned with those of RSEI(average contribution:81.31%),effectively reflecting spatiotemporal variations.At sub-irrigation district and landscape scales,ecological quality was slightly lower than at the district level but remained stable.Moderate and good ecological grades accounted for 36.28%and 33.38%of the area,respectively,at the district scale,and the moderate grade reached 70.48%on smaller scales.Spatial heterogeneity intensified with decreasing scale,and human activity lost explanatory power below a 5 km range.Human factors mainly drove ecological differentiation at the district scale,while natural factors dominated at finer scales.The MRSEI offers a novel tool for ecological assessment in arid/semi-arid areas and supports scale-adapted ecological protection strategies.展开更多
In recent years,intensified land use change driven by climate change and human activities have markedly impacted the ecological environmental quality of the arid inland river basins.The implementation of forestry proj...In recent years,intensified land use change driven by climate change and human activities have markedly impacted the ecological environmental quality of the arid inland river basins.The implementation of forestry projects,coupled with continuous population growth,has increased the need for systematic assessments of ecological effects to ensure sustainable development in arid inland river basins.This study generated a 22-a(2000-2021)remote sensing ecological index(RSEI)data series for the Manas River Basin,a typical arid inland river basin in China,utilizing Moderate Resolution Imaging Spectroradiometer(MODIS)data and the Google Earth Engine(GEE)platform.We examined the spatiotemporal patterns of ecological environmental quality in the Manas River Basin through the Theil-Sen estimator,Mann-Kendall trend test,coefficient of variation(CV),and Hurst index.Furthermore,we employed the Optimal Parameter-based Geographical Detector(OPGD)method to quantify the influence of seven key drivers:elevation,slope,temperature,precipitation,gross domestic product(GDP),population density,and land use change.The key findings revealed that the basin's ecological environmental quality showed significant improvement(mean RSEI of 0.38,with a range of 0.34-0.41),with areas exhibiting good and excellent grades increasing by 16.71%,particularly in the midstream oasis region and upstream mountainous region,while areas exhibiting poor and relatively poor grades decreased by 11.52%in the downstream desert region.Spatial heterogeneity of ecological environmental quality was pronounced,with 32.23%of the areas showing localized degradation,the midstream oasis region exhibiting sustainable recovery potential(Hurst index>0.50),and only 36.67%of the areas maintaining stable and highly stable conditions(primarily in the upstream mountainous region).The OPGD analysis revealed that temperature(q-value=0.496-0.780),land use change(q-value=0.705-0.782),and elevation(q-value=0.245-0.637)were dominant factors,with the influence of land use change increasing during 2000-2020.Strong interaction effects emerged between land use change and temperature(q-value>0.705)and between land use change and elevation(q-value=0.751 in 2020),highlighting intensified human-nature coupling.These findings provide vital perspectives for ecosystem management in arid inland river basins under both climate and anthropogenic pressures.展开更多
Connection methods are essential for integrating environmental factors with machine learning models for landslide susceptibility assessments.However,current research does not consider the different characteristics of ...Connection methods are essential for integrating environmental factors with machine learning models for landslide susceptibility assessments.However,current research does not consider the different characteristics of continuity and discreteness within environmental factors and therefore does not analyze the suitability of various connection methods for different factor types.Moreover,the applicability of connection methods remains unclear when slope units are used as the basic assessment units.This study employed slope units as mapping units.The original data of 15 environmental factors,including 12 continuous and three discrete factors,and two connection methods,i.e.,frequency ratio(FR)and modified FR(MFR),were separately used to construct the input datasets for landslide susceptibility modeling.The performance of four widely used machine learning models,random forest(RF),support vector machine(SVM),logistic regression(LR),and multilayer perceptron(MLP),was analyzed to evaluate the suitability of the connection methods for landslide susceptibility mapping.The results show that,in contrast to the decision tree-based RF model,the use of different connection methods for different factor types significantly influences the results of nontree models,including SVM,MLP,and LR.SVM model is the most sensitive to factor types and connection methods.When the MFR is used as the connection method,it improves the mapping results,especially for the SVM model.This shows that it is essential to consider the different characteristics of the data and select an appropriate environmental factor connection strategy to increase the effectiveness of landslide susceptibility evaluation.Furthermore,this study explored the role of connective methods from a sample distribution perspective,providing a theoretical foundation for the more rational and effective integration of environmental factors.展开更多
Microorganisms actively participate in biogeochemical cycling processes and play a crucial role in maintaining the dynamic balance of hot spring ecosystems.However,the distribution of microbial functional genes and th...Microorganisms actively participate in biogeochemical cycling processes and play a crucial role in maintaining the dynamic balance of hot spring ecosystems.However,the distribution of microbial functional genes and their influencing factors in hot springs remain largely unclear.Therefore,this study investigated the microbial functional genes and their potential for controlling biogeochemical cycles(C,N,S,and P) in the hot Springs of Tengchong,China,using the Geochip method,a functional gene microarray technology.The examined hot springs have very different microbial functional genes.A total of 22 736 gene probe signals were identified,belonging to 567 functional genes and associated with 15 ecological functions,mainly involving stress response,carbon cycle,nitrogen cycle,sulfur cycle,phosphorus cycle and energy processes.The amyA,narG,dsrA and ppx genes were most abundant in carbon,nitrogen,sulfur and phosphorus cycles,respectively,and were significantly correlated with pH,temperature and SO_(4)^(2-).The diversity and abundance of detected gene probes were negatively correlated with temperature.The α-diversity(i.e.,Shannon index) was high at low temperature and low pH.Molecular functional interactions revealed by the gene connectivity levels were negatively correlated with temperature,pH and SO_(4)^(2-).These results suggested that the abundance,diversity and interactions of microbial functional genes were significantly influenced by geochemical parameters.-In addition,some genera possessed functional genes related to carbon,nitrogen,sulfur,and phosphorus cycles and can synergistically control the biogeochemical cycles of carbon,nitrogen,sulfur and phosphorus.These findings provide new insights into the functional potentials of microorganisms to participate in biogeochemical cycles and their responses to environmental factors in hot springs.展开更多
As a major global public health issue,tuberculosis is closely related to multiple socio-ecological factors in its epidemiological patterns~([1]).China,as a high-burden country for tuberculosis,exhibits regional variat...As a major global public health issue,tuberculosis is closely related to multiple socio-ecological factors in its epidemiological patterns~([1]).China,as a high-burden country for tuberculosis,exhibits regional variations in the distribution of the tuberculosis epidemic.To enhance the efficiency of prevention and control,its strategies are undergoing a transition toward regionally differentiated approaches~([2]).展开更多
Phytoplankton play a pivotal role in the Southern Ocean ecosystem.This study examines the phytoplankton community structure and the environmental factors driving it in the Cosmonaut Sea,based on samples collected usin...Phytoplankton play a pivotal role in the Southern Ocean ecosystem.This study examines the phytoplankton community structure and the environmental factors driving it in the Cosmonaut Sea,based on samples collected using a net during the summer of 2020/2021.We identified 99 phytoplankton species,predominantly comprising diatoms and dinoflagellates.Among these,diatoms-notably Pseudo-nitzschia,Chaetoceros,and Fragilariopsis,dominated the community in terms of species richness,abundance,and biomass.Endemic species of the Southern Ocean,such as Corethron pennatum,Proboscia alata,and Cylindrotheca closterium,also made significant contributions.Phytoplankton abundance and biomass showed similar spatial distribution patterns,with hotspots in the northern section of the survey area that gradually diminished towards the coastal regions.The oceanic area exhibited low phytoplankton diversity but pronounced regional variations in community distribution,with the northern region emerging as a key zone for abundance,biomass,and diversity.Nutrient distribution was identified as the primary environmental driver shaping the phytoplankton community,with silicate levels having a significant negative impact on overall phytoplankton abundance and the dominant species.展开更多
The study of plant diversity is often hindered by the challenge of integrating data from different sources and different data types.A standardized data system would facilitate detailed exploration of plant distributio...The study of plant diversity is often hindered by the challenge of integrating data from different sources and different data types.A standardized data system would facilitate detailed exploration of plant distribution patterns and dynamics for botanists,ecologists,conservation biologists,and biogeographers.This study proposes a gridded vector data integration method,combining grid-based techniques with vectorization to integrate diverse data types from multiple sources into grids of the same scale.Here we demonstrate the methodology by creating a comprehensive 1°×1°database of western China that includes plant distribution information and environmental factor data.This approach addresses the need for a standardized data system to facilitate exploration of plant distribution patterns and dynamic changes in the region.展开更多
Macrobenthic organisms are commonly employed as biomonitors for environmental risk assessment.In this study,we aimed to investigate the spatial and temporal patterns of the macrobenthic community,which is influenced b...Macrobenthic organisms are commonly employed as biomonitors for environmental risk assessment.In this study,we aimed to investigate the spatial and temporal patterns of the macrobenthic community,which is influenced by environmental factors of sediments and bottom water layer.We sampled a total of 12,11,10,and 11 stations in the Shengsi Archipelago during June 2010,August 2010,November 2020,and April 2021 respectively.A total of 124 species of macrobenthos were identified,with polychaetes being the dominant group.The abundance,biomass,and diversity indices exhibited no significant temporal differences.Similarly,biodiversity did not exhibit a clear spatial gradient,likely due to the small study area and the absence of significant differences in key factors such as depth.However,the stations with the lowest biodiversity values consistently appeared in the southwest region,possibly due to the impact of human activities.Significant differences in the macrobenthic community were observed between all months except between June and August,and mollusk Endopleura lubrica and polychaete Sigambra hanaokai were important contributors to these differences according to the results of the Similarity Percentages analysis.Suspended particulate matter(SPM)was identified as the primary driving factors of macrobenthic variability.In summary,the community structure underwent temporal changes influenced by complex current patterns,while biodiversity remained relatively stable.This study contributes to our understanding of the key environmental factors affecting macrobenthic communities and biodiversity.It also provides valuable data support for the long-term monitoring of macrobenthos and the environment in the Shengsi Archipelago.展开更多
BACKGROUND Neurodevelopmental delays encompass a wide range of conditions that impair cognitive,motor,and social functioning,often increasing the risk of psychiatric comorbidities.Children with these delays frequently...BACKGROUND Neurodevelopmental delays encompass a wide range of conditions that impair cognitive,motor,and social functioning,often increasing the risk of psychiatric comorbidities.Children with these delays frequently present with disorders such as attention-deficit/hyperactivity disorder(ADHD),anxiety,and behavioral disturbances,which can significantly affect development and quality of life.While genetic predisposition has been linked to these comorbidities,growing evidence highlights the role of environmental factors,including prenatal and early-life stressors.However,the interaction between genetic susceptibility and environmental influences remains poorly understood.Identifying specific genetic variants,environmental risks,and their interactions is essential for early detection and targeted interventions.AIM To investigate the combined effects of genetic and environmental factors on psychiatric comorbidities in children with neurodevelopmental delays,elucidate underlying mechanisms,and inform clinical management strategies.METHODS This retrospective cohort study included 80 children with confirmed neurodevelopmental delays and 40 age-and sex-matched typically developing controls.Comprehensive clinical and psychiatric evaluations,genetic testing(chromosomal microarray analysis and targeted next-generation sequencing),and environmental exposure assessments were conducted.Statistical analyses explored associations between genetic variants and psychiatric comorbidities,environmental risk factors,and gene-environment interactions.RESULTS Children with neurodevelopmental delays exhibited significantly higher rates of psychiatric comorbidities(70.0%)compared to controls(15.0%),with ADHD(42.5%),anxiety disorders(28.8%),and behavioral disorders(23.8%)being the most common.Pathogenic genetic variants were identified in specific pathways associated with distinct psychiatric presentations:Glutamatergic signaling variants were linked to anxiety disorders(odds ratio=3.8),dopaminergic system variants to ADHD(odds ratio=4.2),and synaptic function variants to both behavioral and anxiety disorders.Environmental factors,particularly prenatal maternal stress,early childhood adversity,and family dysfunction were strong predictors of psychiatric outcomes(β=0.42).Significant gene-environment interactions were identified,indicating that environmental exposure can moderate the effects of genetic risks on psychiatric outcomes.CONCLUSION Psychiatric comorbidities in children with neurodevelopmental delays are significantly influenced by both genetic and environmental factors,with complex interactions between the two.These findings underscore the need for integrated assessments and targeted interventions addressing both biological and environmental contributors to improve outcomes in this vulnerable population.展开更多
Total Soluble Proteins(TSP)and Total Amino Acids(TAA)help to tolerate adverse conditions in fruit trees.The objective of this research was to determine the influence of temperature and irradiation on the concentration...Total Soluble Proteins(TSP)and Total Amino Acids(TAA)help to tolerate adverse conditions in fruit trees.The objective of this research was to determine the influence of temperature and irradiation on the concentration of TSP and TAA in Carya illinoinensis trees.Pearson’s correlation and multiple regression were made using mean temperature(℃)and irradiation(MJ·m^(2))data.The concentration of the TSP related to the temperature and irradiation in root,two correlation models were obtained,one for WN cultivar(F=3.969,df=2.9,P>0.058,R2=0.469)and another one for the WA cultivar(F=1.559,df=2.9,P>0.145,R=0.507)where it was observed that the varieties have the same behavior in root for TSP.However,in the stem,the WA cultivar(R=7.31,gl=2.9,P<0.013,R=0.788)presented a greater mobility of TSP.In the case of WN cultivar,a lower mobility of TSP was observed(F=2.407,gl=2.9,P>0.145,R=5.90).In TAA,significant differences were observed in both cultivars:in WN cultivar,the correlation model was observed thatat lower temperature and irradiation(F=12.988,gl=2.9,P<0.002,R=0.862),the concentration of TAA increases.InWA cultivar,it was found(F=17.481,gl=2.9,P<0.01,R=0.892)that lower temperature and irradiation decrease theconcentration of TAA.The concentration of TAA in stem was significant in WN cultivar(F=6040,df=2.9,P<0.022,R=0.757)but not in WA cultivar(F=2,602,df=2.9,P>0.128,R=0.605).WN cultivar is the best adapted to climaticconditions in the region,due to its capacity to store an important reserve of nitrogen compounds.展开更多
Amid the global shift toward climate governance and low-carbon transformation,accurately quantifying environmental risk factors within green bond pricing mechanisms has emerged as a critical issue.Drawing on data from...Amid the global shift toward climate governance and low-carbon transformation,accurately quantifying environmental risk factors within green bond pricing mechanisms has emerged as a critical issue.Drawing on data from China’s green bond market between 2018 and 2023,this study develops a multifactor pricing model that integrates environmental risk premiums.Through regression analysis,it empirically investigates the effects of environmental reputation,transparency of information disclosure,and third-party certification on bond risk premiums.The results indicate that green-labeled bonds carry,on average,a 42.6 basis point lower risk premium compared to non-green bonds,while third-party certification further reduces this premium by an additional 54.1 basis points.Moreover,a one standard deviation improvement in the quality of environmental information disclosure leads to a reduction in bond financing costs by approximately 18 to 25 basis points.Issuers operating in high-energy-consuming industries bear significantly higher environmental risk premiums relative to those in low-energy-consuming sectors.By integrating an ESG scoring framework into bond pricing,this study reveals the transmission channels of environmental risks into market pricing and provides a theoretical foundation for enhancing pricing benchmarks in the green bond market.展开更多
Tuojiang River Basin is a first-class tributary of the upper reaches of the Yangtze River—which is the longest river in China.As phytoplankton are sensitive indicators of trophic changes inwater bodies,characterizing...Tuojiang River Basin is a first-class tributary of the upper reaches of the Yangtze River—which is the longest river in China.As phytoplankton are sensitive indicators of trophic changes inwater bodies,characterizing phytoplankton communities and their growth influencing factors in polluted urban rivers can provide new ideas for pollution control.Here,we used direct microscopic count and environmental DNA(eDNA)metabarcoding methods to investigate phytoplankton community structure in Tuojiang River Basin(Chengdu,Sichuan Province,China).The association between phytoplankton community structure and water environmental factors was evaluated by Mantel analysis.Additional environmental monitoring data were used to pinpoint major factors that influenced phytoplankton growth based on structural equation modeling.At the phylum level,the dominant phytoplankton taxa identified by the conventional microscopic method mainly belonged to Bacillariophyta,Chlorophyta,and Cyanophyta,in contrast with Chlorophyta,Dinophyceae,and Bacillariophyta identified by eDNA metabarcoding.Inα-diversity analysis,eDNA metabarcoding detected greater species diversity and achieved higher precision than the microscopic method.Phytoplankton growth was largely limited by phosphorus based on the nitrogen-to-phosphorus ratios>16:1 in all water samples.Redundancy analysis and structural equation modeling also confirmed that the nitrogen-to-phosphorus ratio was the principal factor influencing phytoplankton growth.The results could be useful for implementing comprehensive management of the river basin environment.It is recommended to control the discharge of point-and surface-source pollutants and the concentration of dissolved oxygen in areas with excessive nutrients(e.g.,Jianyang-Ziyang).Algae monitoring techniques and removal strategies should be improved in 201 Hospital,Hongrihe Bridge and Colmar Town areas.展开更多
Objective We aimed to investigate the patterns of fasting blood glucose(FBG)trajectories and analyze the relationship between various occupational hazard factors and FBG trajectories in male steelworkers.Methods The s...Objective We aimed to investigate the patterns of fasting blood glucose(FBG)trajectories and analyze the relationship between various occupational hazard factors and FBG trajectories in male steelworkers.Methods The study cohort included 3,728 workers who met the selection criteria for the Tanggang Occupational Cohort(TGOC)between 2017 and 2022.A group-based trajectory model was used to identify the FBG trajectories.Environmental risk scores(ERS)were constructed using regression coefficients from the occupational hazard model as weights.Univariate and multivariate logistic regression analyses were performed to explore the effects of occupational hazard factors using the ERS on FBG trajectories.Results FBG trajectories were categorized into three groups.An association was observed between high temperature,noise exposure,and FBG trajectory(P<0.05).Using the first quartile group of ERS1 as a reference,the fourth quartile group of ERS1 had an increased risk of medium and high FBG by 1.90and 2.21 times,respectively(odds ratio[OR]=1.90,95%confidence interval[CI]:1.17–3.10;OR=2.21,95%CI:1.09–4.45).Conclusion An association was observed between occupational hazards based on ERS and FBG trajectories.The risk of FBG trajectory levels increase with an increase in ERS.展开更多
Spinal cord injury represents a severe form of central nervous system trauma for which effective treatments remain limited.Microglia is the resident immune cells of the central nervous system,play a critical role in s...Spinal cord injury represents a severe form of central nervous system trauma for which effective treatments remain limited.Microglia is the resident immune cells of the central nervous system,play a critical role in spinal cord injury.Previous studies have shown that microglia can promote neuronal survival by phagocytosing dead cells and debris and by releasing neuroprotective and anti-inflammatory factors.However,excessive activation of microglia can lead to persistent inflammation and contribute to the formation of glial scars,which hinder axonal regeneration.Despite this,the precise role and mechanisms of microglia during the acute phase of spinal cord injury remain controversial and poorly understood.To elucidate the role of microglia in spinal cord injury,we employed the colony-stimulating factor 1 receptor inhibitor PLX5622 to deplete microglia.We observed that sustained depletion of microglia resulted in an expansion of the lesion area,downregulation of brain-derived neurotrophic factor,and impaired functional recovery after spinal cord injury.Next,we generated a transgenic mouse line with conditional overexpression of brain-derived neurotrophic factor specifically in microglia.We found that brain-derived neurotrophic factor overexpression in microglia increased angiogenesis and blood flow following spinal cord injury and facilitated the recovery of hindlimb motor function.Additionally,brain-derived neurotrophic factor overexpression in microglia reduced inflammation and neuronal apoptosis during the acute phase of spinal cord injury.Furthermore,through using specific transgenic mouse lines,TMEM119,and the colony-stimulating factor 1 receptor inhibitor PLX73086,we demonstrated that the neuroprotective effects were predominantly due to brain-derived neurotrophic factor overexpression in microglia rather than macrophages.In conclusion,our findings suggest the critical role of microglia in the formation of protective glial scars.Depleting microglia is detrimental to recovery of spinal cord injury,whereas targeting brain-derived neurotrophic factor overexpression in microglia represents a promising and novel therapeutic strategy to enhance motor function recovery in patients with spinal cord injury.展开更多
Dongyuemiao Member shale in the Sichuan Basin,China,is characterized by organic-rich shale intervals with different types of interbeds and accumulation modes.The aim of this study is to elucidate the impact of paleoen...Dongyuemiao Member shale in the Sichuan Basin,China,is characterized by organic-rich shale intervals with different types of interbeds and accumulation modes.The aim of this study is to elucidate the impact of paleoenvironmental indicators on interbed development.With this aim in mind,we established an interbed classification scheme and quantified the development of different types of interbeds and their frequencies.We categorized the shale interbeds into three types based on interbed type:silt interbeds(SIs),shell fragment interbeds(SFIs),and shell skeleton interbeds(SSIs).The SIs,SFIs,and SSIs are respectively the products of extrabasinal low-density turbidity currents,intrabasinal debris flow,and intrabasinal low-density turbidity currents.We propose that variations in paleoenvironmental conditions primarily influenced the types of interbeds that developed but had minimal impact on the frequency of their development.Models depicting the interbed development within the 1st Submember of Dongyuemiao Member indicate that during the early Dongyuemiao depositional period,under conditions of relatively aridity,weak weathering,high terrigenous input,and strong hydrodynamic activity,SSIs were well developed.In the middle depositional period,as the climate gradually transitioned to more humid conditions,and the weathering intensity and amount of terrestrial input increased,the development of SIs and SFIs significantly increased.During the late depositional period,with a continuous decrease in terrestrial inputs and sedimentation rates,the development of SIs decreased while that of SSIs increased.展开更多
The intersection of economic development,energy dynamics,environmental policy,and environmental sustainability presents complex challenges for European Union(EU)countries.This study investigatedthe impact of environme...The intersection of economic development,energy dynamics,environmental policy,and environmental sustainability presents complex challenges for European Union(EU)countries.This study investigatedthe impact of environmental taxes,hydroelectricity consumption,economic globalization,and gross domestic product(GDP)on the load capacity factor(LCF)in the 10 EU member countries(including Austria,Finland,France,Germany,Italy,Poland,Portugal,Slovakia,Spain,and Sweden)using data from 1995 to 2020.To ensure the reliability and validity of the data,this study applied several advanced econometric tests,including the Pesaran and Yamagata slopeheterogeneitytest,Pesaran cross-sectional dependence(CSD)test,second-generation unit root test,and Westerlund cointegration test.The data showed important statistical issues such as slope heterogeneityacross panels,CSD,mixed-orderunit root structures,and long-run associations between variables.To address these issues,we applied an augmented mean group(AMG)model as the main regression approach,andusedthe pooled mean group-autoregressive distributed lag(PMG-ARDL)method to check the robustness.Specifically,the AMG results indicate that a 1.000%rise in hydroelectricity consumptionresults in a 0.048% rise in the LCF,while a 1.000% increase in environmental taxes leads toa 0.175% increase in the LCF.Contrary to this,a 1.000% increase in economic globalization results in a 0.370% decrease in the LCF,and a 1.000% increase in GDP leads toa 0.850% decrease in the LCF.Environmental taxes have a more beneficial impact on the environment,and GDP has the most detrimental effect.The findings provide empirical evidence on the role of environmental taxes,hydroelectricity consumption,economic globalization,and GDP in driving the LCF.Additionally,the findings provide valuable information to policy-makers,academicians,and stakeholders shaping energy and environmental policies in the 10 EU member countries.展开更多
基金supported by the Key R&D Projects in Hainan Province(No.ZDYF2024SHFZ085)Hainan Provincial Joint Project of Sanya Yazhou Bay Science and the Technology City(No.2021CXLH0009)the National Natural Science Foundation of China(No.42376234).
文摘This paper takes the water body of Daliao River-Liaodong Bay as the research object,divides it into three regions:river,estuary,and offshore,and analyzes the changes of antibiotics and antibiotic resistance genes(ARGs)from inland rivers to the sea and the environmental impact factors from this perspective.The results showed that in general,the pollution of antibiotics and ARGs in Daliao River-Liaodong Bay belonged to the medium-low level,and levels of antibiotics and ARGs were nd–106.23 ng/L and nd–1.95×10^(8)copies/L,respectively.The concentrations and types of antibiotics and ARGs decreased from inland to sea regions.Analysis of the distributional characteristics of antibiotics and ARGs from a regionalized perspective revealed significant differences among the three regions in sulfonamide antibiotics,tetracycline antibiotics,and dominant ARGs.Sulfonamide antibiotic levels were significantly higher in the estuarine zone than in the riverine and offshore zones;tetracycline antibiotic levels were significantly higher in the riverine and estuarine zones than in the offshore zone.Aminoglycosides were dominant in the riverine and estuarine zones,and macrolides were dominant in the offshore zone.We characterized the effects of environmental factors on the assignment of antibiotics and ARGs and found that overall temperature contributed the most to variation in antibiotics and ARGs;the contribution of dissolved oxygen was the lowest.The estuarine zone was most affected by these factors,followed by the offshore zone and finally the riverine zone.
基金financially supported by the National Natural Science Foundation of China(22138004)National Treasure Ecological Research Synergetic Innovation Center.
文摘Environment serves as the pivotal medium to produce fermented food,with fluctuations in environmental factors exerting a profound impact on the modulation of fermentation microbial communities.Such shifts are crucial for the distinctiveness of fermented food flavor and the variability in quality.Chinese liquor(Baijiu)is one of the typical representatives of spontaneous fermented food.In this review,the multifaceted relationship between regional environmental attributes and the fermentation dynamics of Baijiu was examined,with a spotlight on the strong-flavor,sauce-flavor,and light-flavor varieties.It reveals the influence of regional environmental factors and brewing environmental factors on microbial function and metabolism,which results in the formation of unique flavor characteristics of Baijiu.The 9 main factors affecting the microecology of Baijiu fermentation were further explored,including environmental sensitivity,microbial interactions,biogeographic patterns,and key abiotic factors such as temperature and humidity.Environmental factor management is crucial for controlling microbial community in fermentation.Intelligent detection of the fermentation system is combined with artificial intelligence to realize the digitalization of Baijiu fermentation,with a view to further studying the environmental mechanism or quantitative control relationship of natural fermentation,improving the environmental stability of natural fermentation,and promoting the mechanization and intelligence of fermentation production.
基金supported by the National Key R&D Program of China(Nos.2018YFC1004300 and 2018YFC1004302)the Science&Technology Program of Guizhou Province(Nos.QKHHBZ[2020]3002,QKHPTRC-GCC[2022]039-1 and QKHPTRCCXTD[2022]014)the Scientific Research Program of Guizhou Provincial Department of Education(No.QJJ[2023]019).
文摘Despite the widespread presence and frequent detection of polycyclic aromatic hydrocarbons(PAHs)in various aspects of life,there is limited research on their exposure levels in pregnant women and cumulative exposure from the living environment.This study included 1311 women in late pregnancy from the Zunyi birth cohort and measured the urinary concentrations of 10 hydroxylated PAH metabolites(OH-PAHs).Risk assessment was conducted based on the estimated daily intake to calculate the hazard quotient and hazard index(HI).A linear regression model was used to analyze the relationship between creatinine-adjusted OH-PAHs concentrations and living environment and lifestyle factors,while principal component analysis was applied to trace the sources of PAHs exposure.1-OHPYR was detected in all participants’urine,with naphthalene metabolites having the highest concentrations among creatinine-adjusted PAHs.OH-PAHs concentrations were associated with housing type,room number,cooking frequency,household size,exercise frequency,fuel type,distance from main road,and drinking water source.Pregnant women using traditional fuels and living in bungalows had higher health risks than those using clean energy and living in buildings.Those living within 100 m of a main road had higher HI than those farther away.Coal combustion was identified as the primary source of PAHs exposure.The study emphasizes the importance of reducing PAHs exposure,especially for pregnant women living in polluted environments.It recommends public health interventions such as improving indoor ventilation and providing clean energy to reduce related health risks.
基金National Key Research&Development Program of China,No.2021YFC3201201Ningxia Key Research and Development Program(Special Talents),No.2023BSB03021+1 种基金Natural Science Foundation of Ningxia,No.2023AAC05014University First-Class Discipline Construction Project of Ningxia,No.NXYLXK2021A03。
文摘The Qingtongxia Irrigation District in Ningxia is an important hydrological and ecological region.To assess its ecological environment quality from 2001 to 2021 across multiple scales and identify driving factors,a modified remote sensing ecological index(MRSEI)was developed by incorporating evapotranspiration.Spatial and temporal patterns were analyzed using the coefficient of variation,spatial autocorrelation,and semi-variogram methods,while influencing factors were explored via the optimal parameter geographical detector model.The MRSEI’s first principal component loadings and rankings aligned with those of RSEI(average contribution:81.31%),effectively reflecting spatiotemporal variations.At sub-irrigation district and landscape scales,ecological quality was slightly lower than at the district level but remained stable.Moderate and good ecological grades accounted for 36.28%and 33.38%of the area,respectively,at the district scale,and the moderate grade reached 70.48%on smaller scales.Spatial heterogeneity intensified with decreasing scale,and human activity lost explanatory power below a 5 km range.Human factors mainly drove ecological differentiation at the district scale,while natural factors dominated at finer scales.The MRSEI offers a novel tool for ecological assessment in arid/semi-arid areas and supports scale-adapted ecological protection strategies.
基金supported by the National Natural Science Foundation of China(32360084).
文摘In recent years,intensified land use change driven by climate change and human activities have markedly impacted the ecological environmental quality of the arid inland river basins.The implementation of forestry projects,coupled with continuous population growth,has increased the need for systematic assessments of ecological effects to ensure sustainable development in arid inland river basins.This study generated a 22-a(2000-2021)remote sensing ecological index(RSEI)data series for the Manas River Basin,a typical arid inland river basin in China,utilizing Moderate Resolution Imaging Spectroradiometer(MODIS)data and the Google Earth Engine(GEE)platform.We examined the spatiotemporal patterns of ecological environmental quality in the Manas River Basin through the Theil-Sen estimator,Mann-Kendall trend test,coefficient of variation(CV),and Hurst index.Furthermore,we employed the Optimal Parameter-based Geographical Detector(OPGD)method to quantify the influence of seven key drivers:elevation,slope,temperature,precipitation,gross domestic product(GDP),population density,and land use change.The key findings revealed that the basin's ecological environmental quality showed significant improvement(mean RSEI of 0.38,with a range of 0.34-0.41),with areas exhibiting good and excellent grades increasing by 16.71%,particularly in the midstream oasis region and upstream mountainous region,while areas exhibiting poor and relatively poor grades decreased by 11.52%in the downstream desert region.Spatial heterogeneity of ecological environmental quality was pronounced,with 32.23%of the areas showing localized degradation,the midstream oasis region exhibiting sustainable recovery potential(Hurst index>0.50),and only 36.67%of the areas maintaining stable and highly stable conditions(primarily in the upstream mountainous region).The OPGD analysis revealed that temperature(q-value=0.496-0.780),land use change(q-value=0.705-0.782),and elevation(q-value=0.245-0.637)were dominant factors,with the influence of land use change increasing during 2000-2020.Strong interaction effects emerged between land use change and temperature(q-value>0.705)and between land use change and elevation(q-value=0.751 in 2020),highlighting intensified human-nature coupling.These findings provide vital perspectives for ecosystem management in arid inland river basins under both climate and anthropogenic pressures.
基金supported by the National Key Research and Development Program of China(No.2023YFC3007202)Joint Research Project on Meteorological Capacity Enhancement of the China Meteorological Administration(No.23NLTSZ009)Project of the Department of Science and Technology of Sichuan Province(No.2024YFHZ0098)。
文摘Connection methods are essential for integrating environmental factors with machine learning models for landslide susceptibility assessments.However,current research does not consider the different characteristics of continuity and discreteness within environmental factors and therefore does not analyze the suitability of various connection methods for different factor types.Moreover,the applicability of connection methods remains unclear when slope units are used as the basic assessment units.This study employed slope units as mapping units.The original data of 15 environmental factors,including 12 continuous and three discrete factors,and two connection methods,i.e.,frequency ratio(FR)and modified FR(MFR),were separately used to construct the input datasets for landslide susceptibility modeling.The performance of four widely used machine learning models,random forest(RF),support vector machine(SVM),logistic regression(LR),and multilayer perceptron(MLP),was analyzed to evaluate the suitability of the connection methods for landslide susceptibility mapping.The results show that,in contrast to the decision tree-based RF model,the use of different connection methods for different factor types significantly influences the results of nontree models,including SVM,MLP,and LR.SVM model is the most sensitive to factor types and connection methods.When the MFR is used as the connection method,it improves the mapping results,especially for the SVM model.This shows that it is essential to consider the different characteristics of the data and select an appropriate environmental factor connection strategy to increase the effectiveness of landslide susceptibility evaluation.Furthermore,this study explored the role of connective methods from a sample distribution perspective,providing a theoretical foundation for the more rational and effective integration of environmental factors.
基金supported by grants from the National Natural Science Foundation of China(Nos.42172339,91951205)。
文摘Microorganisms actively participate in biogeochemical cycling processes and play a crucial role in maintaining the dynamic balance of hot spring ecosystems.However,the distribution of microbial functional genes and their influencing factors in hot springs remain largely unclear.Therefore,this study investigated the microbial functional genes and their potential for controlling biogeochemical cycles(C,N,S,and P) in the hot Springs of Tengchong,China,using the Geochip method,a functional gene microarray technology.The examined hot springs have very different microbial functional genes.A total of 22 736 gene probe signals were identified,belonging to 567 functional genes and associated with 15 ecological functions,mainly involving stress response,carbon cycle,nitrogen cycle,sulfur cycle,phosphorus cycle and energy processes.The amyA,narG,dsrA and ppx genes were most abundant in carbon,nitrogen,sulfur and phosphorus cycles,respectively,and were significantly correlated with pH,temperature and SO_(4)^(2-).The diversity and abundance of detected gene probes were negatively correlated with temperature.The α-diversity(i.e.,Shannon index) was high at low temperature and low pH.Molecular functional interactions revealed by the gene connectivity levels were negatively correlated with temperature,pH and SO_(4)^(2-).These results suggested that the abundance,diversity and interactions of microbial functional genes were significantly influenced by geochemical parameters.-In addition,some genera possessed functional genes related to carbon,nitrogen,sulfur,and phosphorus cycles and can synergistically control the biogeochemical cycles of carbon,nitrogen,sulfur and phosphorus.These findings provide new insights into the functional potentials of microorganisms to participate in biogeochemical cycles and their responses to environmental factors in hot springs.
文摘As a major global public health issue,tuberculosis is closely related to multiple socio-ecological factors in its epidemiological patterns~([1]).China,as a high-burden country for tuberculosis,exhibits regional variations in the distribution of the tuberculosis epidemic.To enhance the efficiency of prevention and control,its strategies are undergoing a transition toward regionally differentiated approaches~([2]).
基金funded by National Science Foundation of China(Grant no.42276238)Impact and Response of Antarctic Seas to Climate Change(Grant nos.IRASCC 01-02-01D,01-01-02A)Taishan Scholars Program.
文摘Phytoplankton play a pivotal role in the Southern Ocean ecosystem.This study examines the phytoplankton community structure and the environmental factors driving it in the Cosmonaut Sea,based on samples collected using a net during the summer of 2020/2021.We identified 99 phytoplankton species,predominantly comprising diatoms and dinoflagellates.Among these,diatoms-notably Pseudo-nitzschia,Chaetoceros,and Fragilariopsis,dominated the community in terms of species richness,abundance,and biomass.Endemic species of the Southern Ocean,such as Corethron pennatum,Proboscia alata,and Cylindrotheca closterium,also made significant contributions.Phytoplankton abundance and biomass showed similar spatial distribution patterns,with hotspots in the northern section of the survey area that gradually diminished towards the coastal regions.The oceanic area exhibited low phytoplankton diversity but pronounced regional variations in community distribution,with the northern region emerging as a key zone for abundance,biomass,and diversity.Nutrient distribution was identified as the primary environmental driver shaping the phytoplankton community,with silicate levels having a significant negative impact on overall phytoplankton abundance and the dominant species.
基金supported by the Second Tibetan Plateau Scientific Expedition and Research(STEP)program(2019QZKK0502)the National Natural Science Foundation of China(32322006)+1 种基金the Major Program for Basic Research Project of Yunnan Province(202103AF140005 and 202101BC070002)the Practice Innovation Fund for Professional Degree Graduates of Yunnan University(ZC-22222401).
文摘The study of plant diversity is often hindered by the challenge of integrating data from different sources and different data types.A standardized data system would facilitate detailed exploration of plant distribution patterns and dynamics for botanists,ecologists,conservation biologists,and biogeographers.This study proposes a gridded vector data integration method,combining grid-based techniques with vectorization to integrate diverse data types from multiple sources into grids of the same scale.Here we demonstrate the methodology by creating a comprehensive 1°×1°database of western China that includes plant distribution information and environmental factor data.This approach addresses the need for a standardized data system to facilitate exploration of plant distribution patterns and dynamic changes in the region.
基金The Scientific Research Fund of the Second Institute of Oceanography,Ministry of Natural Resources,China under contract Nos SZ2302 and JG2209.
文摘Macrobenthic organisms are commonly employed as biomonitors for environmental risk assessment.In this study,we aimed to investigate the spatial and temporal patterns of the macrobenthic community,which is influenced by environmental factors of sediments and bottom water layer.We sampled a total of 12,11,10,and 11 stations in the Shengsi Archipelago during June 2010,August 2010,November 2020,and April 2021 respectively.A total of 124 species of macrobenthos were identified,with polychaetes being the dominant group.The abundance,biomass,and diversity indices exhibited no significant temporal differences.Similarly,biodiversity did not exhibit a clear spatial gradient,likely due to the small study area and the absence of significant differences in key factors such as depth.However,the stations with the lowest biodiversity values consistently appeared in the southwest region,possibly due to the impact of human activities.Significant differences in the macrobenthic community were observed between all months except between June and August,and mollusk Endopleura lubrica and polychaete Sigambra hanaokai were important contributors to these differences according to the results of the Similarity Percentages analysis.Suspended particulate matter(SPM)was identified as the primary driving factors of macrobenthic variability.In summary,the community structure underwent temporal changes influenced by complex current patterns,while biodiversity remained relatively stable.This study contributes to our understanding of the key environmental factors affecting macrobenthic communities and biodiversity.It also provides valuable data support for the long-term monitoring of macrobenthos and the environment in the Shengsi Archipelago.
文摘BACKGROUND Neurodevelopmental delays encompass a wide range of conditions that impair cognitive,motor,and social functioning,often increasing the risk of psychiatric comorbidities.Children with these delays frequently present with disorders such as attention-deficit/hyperactivity disorder(ADHD),anxiety,and behavioral disturbances,which can significantly affect development and quality of life.While genetic predisposition has been linked to these comorbidities,growing evidence highlights the role of environmental factors,including prenatal and early-life stressors.However,the interaction between genetic susceptibility and environmental influences remains poorly understood.Identifying specific genetic variants,environmental risks,and their interactions is essential for early detection and targeted interventions.AIM To investigate the combined effects of genetic and environmental factors on psychiatric comorbidities in children with neurodevelopmental delays,elucidate underlying mechanisms,and inform clinical management strategies.METHODS This retrospective cohort study included 80 children with confirmed neurodevelopmental delays and 40 age-and sex-matched typically developing controls.Comprehensive clinical and psychiatric evaluations,genetic testing(chromosomal microarray analysis and targeted next-generation sequencing),and environmental exposure assessments were conducted.Statistical analyses explored associations between genetic variants and psychiatric comorbidities,environmental risk factors,and gene-environment interactions.RESULTS Children with neurodevelopmental delays exhibited significantly higher rates of psychiatric comorbidities(70.0%)compared to controls(15.0%),with ADHD(42.5%),anxiety disorders(28.8%),and behavioral disorders(23.8%)being the most common.Pathogenic genetic variants were identified in specific pathways associated with distinct psychiatric presentations:Glutamatergic signaling variants were linked to anxiety disorders(odds ratio=3.8),dopaminergic system variants to ADHD(odds ratio=4.2),and synaptic function variants to both behavioral and anxiety disorders.Environmental factors,particularly prenatal maternal stress,early childhood adversity,and family dysfunction were strong predictors of psychiatric outcomes(β=0.42).Significant gene-environment interactions were identified,indicating that environmental exposure can moderate the effects of genetic risks on psychiatric outcomes.CONCLUSION Psychiatric comorbidities in children with neurodevelopmental delays are significantly influenced by both genetic and environmental factors,with complex interactions between the two.These findings underscore the need for integrated assessments and targeted interventions addressing both biological and environmental contributors to improve outcomes in this vulnerable population.
文摘Total Soluble Proteins(TSP)and Total Amino Acids(TAA)help to tolerate adverse conditions in fruit trees.The objective of this research was to determine the influence of temperature and irradiation on the concentration of TSP and TAA in Carya illinoinensis trees.Pearson’s correlation and multiple regression were made using mean temperature(℃)and irradiation(MJ·m^(2))data.The concentration of the TSP related to the temperature and irradiation in root,two correlation models were obtained,one for WN cultivar(F=3.969,df=2.9,P>0.058,R2=0.469)and another one for the WA cultivar(F=1.559,df=2.9,P>0.145,R=0.507)where it was observed that the varieties have the same behavior in root for TSP.However,in the stem,the WA cultivar(R=7.31,gl=2.9,P<0.013,R=0.788)presented a greater mobility of TSP.In the case of WN cultivar,a lower mobility of TSP was observed(F=2.407,gl=2.9,P>0.145,R=5.90).In TAA,significant differences were observed in both cultivars:in WN cultivar,the correlation model was observed thatat lower temperature and irradiation(F=12.988,gl=2.9,P<0.002,R=0.862),the concentration of TAA increases.InWA cultivar,it was found(F=17.481,gl=2.9,P<0.01,R=0.892)that lower temperature and irradiation decrease theconcentration of TAA.The concentration of TAA in stem was significant in WN cultivar(F=6040,df=2.9,P<0.022,R=0.757)but not in WA cultivar(F=2,602,df=2.9,P>0.128,R=0.605).WN cultivar is the best adapted to climaticconditions in the region,due to its capacity to store an important reserve of nitrogen compounds.
文摘Amid the global shift toward climate governance and low-carbon transformation,accurately quantifying environmental risk factors within green bond pricing mechanisms has emerged as a critical issue.Drawing on data from China’s green bond market between 2018 and 2023,this study develops a multifactor pricing model that integrates environmental risk premiums.Through regression analysis,it empirically investigates the effects of environmental reputation,transparency of information disclosure,and third-party certification on bond risk premiums.The results indicate that green-labeled bonds carry,on average,a 42.6 basis point lower risk premium compared to non-green bonds,while third-party certification further reduces this premium by an additional 54.1 basis points.Moreover,a one standard deviation improvement in the quality of environmental information disclosure leads to a reduction in bond financing costs by approximately 18 to 25 basis points.Issuers operating in high-energy-consuming industries bear significantly higher environmental risk premiums relative to those in low-energy-consuming sectors.By integrating an ESG scoring framework into bond pricing,this study reveals the transmission channels of environmental risks into market pricing and provides a theoretical foundation for enhancing pricing benchmarks in the green bond market.
基金supported by the National Natural Science Foundation of China (No.72091511)the Science Fund for Distinguished Young Scholars of Hebei Province (No.E2022402064).
文摘Tuojiang River Basin is a first-class tributary of the upper reaches of the Yangtze River—which is the longest river in China.As phytoplankton are sensitive indicators of trophic changes inwater bodies,characterizing phytoplankton communities and their growth influencing factors in polluted urban rivers can provide new ideas for pollution control.Here,we used direct microscopic count and environmental DNA(eDNA)metabarcoding methods to investigate phytoplankton community structure in Tuojiang River Basin(Chengdu,Sichuan Province,China).The association between phytoplankton community structure and water environmental factors was evaluated by Mantel analysis.Additional environmental monitoring data were used to pinpoint major factors that influenced phytoplankton growth based on structural equation modeling.At the phylum level,the dominant phytoplankton taxa identified by the conventional microscopic method mainly belonged to Bacillariophyta,Chlorophyta,and Cyanophyta,in contrast with Chlorophyta,Dinophyceae,and Bacillariophyta identified by eDNA metabarcoding.Inα-diversity analysis,eDNA metabarcoding detected greater species diversity and achieved higher precision than the microscopic method.Phytoplankton growth was largely limited by phosphorus based on the nitrogen-to-phosphorus ratios>16:1 in all water samples.Redundancy analysis and structural equation modeling also confirmed that the nitrogen-to-phosphorus ratio was the principal factor influencing phytoplankton growth.The results could be useful for implementing comprehensive management of the river basin environment.It is recommended to control the discharge of point-and surface-source pollutants and the concentration of dissolved oxygen in areas with excessive nutrients(e.g.,Jianyang-Ziyang).Algae monitoring techniques and removal strategies should be improved in 201 Hospital,Hongrihe Bridge and Colmar Town areas.
基金supported by the Key Research and Development Program of the Ministry of Science and Technology of China(grant number:2016YF0900605)the Key Research and Development Program of Hebei Province(grant number:192777129D)+1 种基金the Joint Fund for Iron and Steel of the Natural Science Foundation of Hebei Province(grant number:H2016209058)the National Natural Science Foundation for Regional Joint Fund of China(grant number:U22A20364)。
文摘Objective We aimed to investigate the patterns of fasting blood glucose(FBG)trajectories and analyze the relationship between various occupational hazard factors and FBG trajectories in male steelworkers.Methods The study cohort included 3,728 workers who met the selection criteria for the Tanggang Occupational Cohort(TGOC)between 2017 and 2022.A group-based trajectory model was used to identify the FBG trajectories.Environmental risk scores(ERS)were constructed using regression coefficients from the occupational hazard model as weights.Univariate and multivariate logistic regression analyses were performed to explore the effects of occupational hazard factors using the ERS on FBG trajectories.Results FBG trajectories were categorized into three groups.An association was observed between high temperature,noise exposure,and FBG trajectory(P<0.05).Using the first quartile group of ERS1 as a reference,the fourth quartile group of ERS1 had an increased risk of medium and high FBG by 1.90and 2.21 times,respectively(odds ratio[OR]=1.90,95%confidence interval[CI]:1.17–3.10;OR=2.21,95%CI:1.09–4.45).Conclusion An association was observed between occupational hazards based on ERS and FBG trajectories.The risk of FBG trajectory levels increase with an increase in ERS.
基金supported by the National Natural Science Foundation of China,Nos.82072165 and 82272256(both to XM)the Key Project of Xiangyang Central Hospital,No.2023YZ03(to RM)。
文摘Spinal cord injury represents a severe form of central nervous system trauma for which effective treatments remain limited.Microglia is the resident immune cells of the central nervous system,play a critical role in spinal cord injury.Previous studies have shown that microglia can promote neuronal survival by phagocytosing dead cells and debris and by releasing neuroprotective and anti-inflammatory factors.However,excessive activation of microglia can lead to persistent inflammation and contribute to the formation of glial scars,which hinder axonal regeneration.Despite this,the precise role and mechanisms of microglia during the acute phase of spinal cord injury remain controversial and poorly understood.To elucidate the role of microglia in spinal cord injury,we employed the colony-stimulating factor 1 receptor inhibitor PLX5622 to deplete microglia.We observed that sustained depletion of microglia resulted in an expansion of the lesion area,downregulation of brain-derived neurotrophic factor,and impaired functional recovery after spinal cord injury.Next,we generated a transgenic mouse line with conditional overexpression of brain-derived neurotrophic factor specifically in microglia.We found that brain-derived neurotrophic factor overexpression in microglia increased angiogenesis and blood flow following spinal cord injury and facilitated the recovery of hindlimb motor function.Additionally,brain-derived neurotrophic factor overexpression in microglia reduced inflammation and neuronal apoptosis during the acute phase of spinal cord injury.Furthermore,through using specific transgenic mouse lines,TMEM119,and the colony-stimulating factor 1 receptor inhibitor PLX73086,we demonstrated that the neuroprotective effects were predominantly due to brain-derived neurotrophic factor overexpression in microglia rather than macrophages.In conclusion,our findings suggest the critical role of microglia in the formation of protective glial scars.Depleting microglia is detrimental to recovery of spinal cord injury,whereas targeting brain-derived neurotrophic factor overexpression in microglia represents a promising and novel therapeutic strategy to enhance motor function recovery in patients with spinal cord injury.
基金sponsored by the National Natural Science Foundation of China,China(No.42272171)National Science and Technology Major Project of China,China(No.2017ZX05036).
文摘Dongyuemiao Member shale in the Sichuan Basin,China,is characterized by organic-rich shale intervals with different types of interbeds and accumulation modes.The aim of this study is to elucidate the impact of paleoenvironmental indicators on interbed development.With this aim in mind,we established an interbed classification scheme and quantified the development of different types of interbeds and their frequencies.We categorized the shale interbeds into three types based on interbed type:silt interbeds(SIs),shell fragment interbeds(SFIs),and shell skeleton interbeds(SSIs).The SIs,SFIs,and SSIs are respectively the products of extrabasinal low-density turbidity currents,intrabasinal debris flow,and intrabasinal low-density turbidity currents.We propose that variations in paleoenvironmental conditions primarily influenced the types of interbeds that developed but had minimal impact on the frequency of their development.Models depicting the interbed development within the 1st Submember of Dongyuemiao Member indicate that during the early Dongyuemiao depositional period,under conditions of relatively aridity,weak weathering,high terrigenous input,and strong hydrodynamic activity,SSIs were well developed.In the middle depositional period,as the climate gradually transitioned to more humid conditions,and the weathering intensity and amount of terrestrial input increased,the development of SIs and SFIs significantly increased.During the late depositional period,with a continuous decrease in terrestrial inputs and sedimentation rates,the development of SIs decreased while that of SSIs increased.
文摘The intersection of economic development,energy dynamics,environmental policy,and environmental sustainability presents complex challenges for European Union(EU)countries.This study investigatedthe impact of environmental taxes,hydroelectricity consumption,economic globalization,and gross domestic product(GDP)on the load capacity factor(LCF)in the 10 EU member countries(including Austria,Finland,France,Germany,Italy,Poland,Portugal,Slovakia,Spain,and Sweden)using data from 1995 to 2020.To ensure the reliability and validity of the data,this study applied several advanced econometric tests,including the Pesaran and Yamagata slopeheterogeneitytest,Pesaran cross-sectional dependence(CSD)test,second-generation unit root test,and Westerlund cointegration test.The data showed important statistical issues such as slope heterogeneityacross panels,CSD,mixed-orderunit root structures,and long-run associations between variables.To address these issues,we applied an augmented mean group(AMG)model as the main regression approach,andusedthe pooled mean group-autoregressive distributed lag(PMG-ARDL)method to check the robustness.Specifically,the AMG results indicate that a 1.000%rise in hydroelectricity consumptionresults in a 0.048% rise in the LCF,while a 1.000% increase in environmental taxes leads toa 0.175% increase in the LCF.Contrary to this,a 1.000% increase in economic globalization results in a 0.370% decrease in the LCF,and a 1.000% increase in GDP leads toa 0.850% decrease in the LCF.Environmental taxes have a more beneficial impact on the environment,and GDP has the most detrimental effect.The findings provide empirical evidence on the role of environmental taxes,hydroelectricity consumption,economic globalization,and GDP in driving the LCF.Additionally,the findings provide valuable information to policy-makers,academicians,and stakeholders shaping energy and environmental policies in the 10 EU member countries.
