China’s booming performing arts sector is reshaping cultural experiences and creating vibrant new spaces for leisure,tourism and creativity The year 2025 marked a period of vigorous expansion for China’s performing ...China’s booming performing arts sector is reshaping cultural experiences and creating vibrant new spaces for leisure,tourism and creativity The year 2025 marked a period of vigorous expansion for China’s performing arts sector,as the industry evolved from a traditional entertainment field into a comprehensive engine of cultural consumption.展开更多
Mesenchymal stem cell-derived extracellular vesicles have emerged as a promising form of regenerative and immunomodulatory therapy;indeed,micro(mi)RNAs contained within mesenchymal stem cell-derived extracellular vesi...Mesenchymal stem cell-derived extracellular vesicles have emerged as a promising form of regenerative and immunomodulatory therapy;indeed,micro(mi)RNAs contained within mesenchymal stem cell-derived extracellular vesicles modulate target gene expression and impact disease-associated pathways.Chronic alcohol consumption leads to neuroinflammation,brain damage,and impaired cognition.Evidence indicates that females are more vulnerable to alcohol-induced damage than males.While mesenchymal stem cell-derived extracellular vesicles have been studied in various neuroinflammatory conditions,their potential to counteract alcohol-induced brain damage remains unclear.In this study,we investigated whether repeated intravenous administration of mesenchymal stem cell-derived extracellular vesicles could ameliorate neuroinflammation and behavioral impairment induced by chronic alcohol consumption in female mice.Mesenchymal stem cell-derived extracellular vesicles diminished the increased binding of a micro-positron emission tomography tracer(^(18)F-FDG)when analyzing whole-brain 3D images and brain coronal sections of ethanol-treated mice.Mesenchymal stem cell-derived extracellular vesicle administration protected against ethanol-induced proinflammatory gene upregulation,cognitive dysfunction,and the conditioned rewarding effects of cocaine.MiRNA sequencing data from mesenchymal stem cell-derived extracellular vesicles revealed the elevated expression of extracellular vesicle-derived miR-483-5p and miR-140-3p in the brains of ethanol-treated female mice following mesenchymal stem cell-derived extracellular vesicle administration.In addition,mesenchymal stem cell-derived extracellular vesicles modulated the expression of pro-inflammatory-related miRNA target genes(e.g.,Socs3,Tnf,Mtor,and Atf6)in the brains of ethanol-treated female mice.These results suggest that mesenchymal stem cell-derived extracellular vesicles could function as a neuroprotective therapy to ameliorate the neuroinflammation,cognitive dysfunction,and conditioned rewarding effects of cocaine associated with chronic alcohol consumption.展开更多
AIM:To investigate the effects of chronic alcohol consumption on retinal microcirculation by comparing different alcohol-consuming groups using optical coherence tomography(OCT)and OCT angiography(OCTA).METHODS:This o...AIM:To investigate the effects of chronic alcohol consumption on retinal microcirculation by comparing different alcohol-consuming groups using optical coherence tomography(OCT)and OCT angiography(OCTA).METHODS:This observational clinical study utilized a cross-sectional and prospective design,focusing on chronic alcohol consumers alongside a non-consuming control group.OCT/OCTA imaging parameters including central retinal subfield thickness(CST),subfoveal choroidal thickness(SCT),foveal avascular zone(FAZ)and vessel density(VD)in the superficial and deep capillary plexuses in both the macular and optic disc(OD)regions were recorded.Data were analyzed using SPSS 15.0;descriptive statistics were reported,group comparisons were performed with Chisquare,Kruskal–Wallis,and Bonferroni-corrected Mann–Whitney U tests,and relationships were assessed using Spearman correlation,with statistical significance set at P<0.05.RESULTS:A total of 160 eyes of 160 participants(110 females and 50 males with mean age 38.7±9.9y)who don’t smoke were divided into five groups:never,occasional,monthly,weekly and daily drinkers.The mean CST was 216.6±14.2μm and the mean SCT was 358.9±84.5μm.There was no statistically significantly difference in CST and SCT among the groups(P=0.890,0.799).Foveal superficial capillary plexuses(SCPs)VD was higher in monthly drinkers compared to occasional drinkers(P=0.015).Foveal VD in deep capillary plexus was also higher in monthly drinkers than in never and occasional drinkers(P=0.004,0.006).Nasal SCPs VD at the OD was higher in monthly drinkers compared to never drinkers(P=0.005).There was no significant difference FAZ area among the groups(P=0.071).CONCLUSION:Both superficial and deep microvascular structures in the inferior quadrants of macula are positively correlated with frequency of alcohol use.Also in our study results is that the monthly drinker group has uniquely higher VDs in both macula and OD.This leads us to consider moderate alcohol consumption may also have protective effects on retinal microcirculation.展开更多
Objective To examine national trends in antibiotic consumption and antimicrobial resistance(AMR)among six WHO-priority bacterial pathogens in China from 2016 to 2022.Methods This ecological study analyzed national and...Objective To examine national trends in antibiotic consumption and antimicrobial resistance(AMR)among six WHO-priority bacterial pathogens in China from 2016 to 2022.Methods This ecological study analyzed national and provincial data from the China Antibacterial Resistance Surveillance System(CARSS)and the National Hospital Information Network.Beta regression models assessed temporal trends,and hierarchical models evaluated associations between antibiotic use and resistance.Results From 2016 to 2022,carbapenem resistance in Acinetobacter baumannii and Pseudomonas aeruginosa,and vancomycin resistance in Enterococcus faecium and E.faecalis significantly declined(β<0,P<0.010),while carbapenem-resistant Klebsiella pneumoniae increased(β=0.081,P<0.001).Nationwide antibiotic consumption rose across 10 major classes.Positive associations were found between carbapenem use and resistance in A.baumannii(z=2.719,P=0.007)and P.aeruginosa(z=3.241,P=0.001),and between vancomycin use and resistance in E.faecium(z=4.510,P=0.001)and E.faecalis(z=3.210,P=0.001).Conclusion Carbapenem-resistant K.pneumoniae increased significantly in China,while other resistant pathogens declined.Resistance patterns were linked to the use of multiple antibiotic classes,underscoring the need for strengthened antibiotic stewardship and surveillance.展开更多
The rise of antimicrobial resistance,particularly in healthcare-associated infections caused by carbapenem-resistant Gram-negative pathogens,poses a critical global challenge.The extensive use of carbapenems has exace...The rise of antimicrobial resistance,particularly in healthcare-associated infections caused by carbapenem-resistant Gram-negative pathogens,poses a critical global challenge.The extensive use of carbapenems has exacerbated this issue by increasing selective pressure within bacterial populations.This study aimed to investigate the association between carbapenem consumption and resistance rates in four priority Gram-negative bacteria:Escherichia coli(EC),Klebsiella pneumoniae(KP),Acinetobacter baumannii(AB),and Pseudomonas aeruginosa(PA).Retrospective data were collected from the First Affiliated Hospital of Zhengzhou University,covering the period from January 2010 to December 2022.Trends in carbapenem consumption and resistance were analyzed using the Mann-Kendall test to assess statistical significance and the Sen’s slope(SS)estimator to determine the magnitude of change.Correlations between carbapenem use and bacterial resistance rates were evaluated via Spearman correlation analysis.Over the study period,the consumption of meropenem,imipenem,biapenem,and total carbapenems exhibited a significant upward trend(|Z|>1.96,SS>0).Correspondingly,the resistance rates of EC and KP to meropenem and imipenem also increased significantly(|Z|>1.96,SS>0).A strong positive correlation was observed between the resistance rate of EC to meropenem and the defined daily doses(DDDs)of meropenem(r=0.732,P<0.05)and between EC resistance to imipenem and its DDDs(r=0.49,P<0.05).Similar significant correlations were identified for KP.However,no significant associations were found between carbapenem resistance in AB or PA and carbapenem consumption.These findings underscored the strong correlation between carbapenem use and the resistance rates of EC and KP,highlighting the urgent need for stringent control and stewardship of carbapenem use in clinical settings to mitigate or delay the development of bacterial drug resistance.展开更多
Phase change absorbents based on amine chemical absorption for CO_(2)capture exhibit energy-saving potential,but generally suffer from difficulties in CO_(2)regeneration.Alcohol,characterized as a protic reagent with ...Phase change absorbents based on amine chemical absorption for CO_(2)capture exhibit energy-saving potential,but generally suffer from difficulties in CO_(2)regeneration.Alcohol,characterized as a protic reagent with a low dielectric constant,can provide free protons to the rich phase of the absorbent,thereby facilitating CO_(2)regeneration.In this investigation,N-aminoethylpiperazine(AEP)/sulfolane/H_(2)O was employed as the liquid-liquid phase change absorbent,with alcohol serving as the regulator.First,appropriate ion pair models were constructed to simulate the solvent effect of the CO_(2)products in different alcohol solutions.The results demonstrated that these ion pair products reached the maximum solvation-free energy(△E_(solvation))in the rich phase containing ethanol(EtOH).Desorption experiment results validated that the inclusion of EtOH led to a maximum regeneration rate of 0.00763 mol/min,thus confirming EtOH’s suitability as the preferred regulator.Quantum chemical calculations and^(13)C NMR characterization were performed,revealing that the addition of EtOH resulted in the partial conversion of AEP-carbamate(AEPCOO−)into a new product known as ethyl carbonate(C_(2)H_(5)OCOO−),which enhanced the regeneration reactivity.In addition,the decomposition paths of different CO_(2)products were simulated visually,and every reaction’s activation energy(△E_(act))was calculated.Remarkably,the△E_(act)for the decomposition of C_(2)H_(5)OCOO−(9.465 kJ/mol)was lower than that of the AEPCOO−(26.163 kJ/mol),implying that CO_(2)was more likely to be released.Finally,the regeneration energy consumption of the alcohol-regulated absorbentwas estimated to be only 1.92 GJ/ton CO_(2),which had excellent energy-saving potential.展开更多
The multiple nuclides identification algorithm with low consumption and strong robustness is crucial for rapid radioactive source searching.This study investigates the design of a low-consumption multiple nuclides ide...The multiple nuclides identification algorithm with low consumption and strong robustness is crucial for rapid radioactive source searching.This study investigates the design of a low-consumption multiple nuclides identification algorithm for portable gamma spectrometers.First,the gamma spectra of 12 target nuclides(including the background case)were measured to create training datasets.The characteristic energies,obtained through energy calibration and full-energy peak addresses,are utilized as input features for a neural network.A large number of single-and multiple-nuclide training datasets are generated using random combinations and small-range drifting.Subsequently,a multi-label classification neural network based on a binary cross-entropy loss function is applied to export the existence probability of certain nuclides.The designed algorithm effectively reduces the computation time and storage space required by the neural network and has been successfully implemented in a portable gamma spectrometer with a running time of t_(r)<2 s.Results show that,in both validation and actual tests,the identification accuracy of the designed algorithm reaches 94.8%,for gamma spectra with a dose rate of d≈0.5μSv∕h and a measurement time t_(m)=60 s.This improves the ability to perform rapid on-site nuclide identification at important sites.展开更多
Bathed in the golden light of September,Beijing’s Shougang Park hosted the 2025 China International Fair for Trade in Services(CIFTIS).At the heart of the event,a dynamic spirit of renewal was evident,as emerging pat...Bathed in the golden light of September,Beijing’s Shougang Park hosted the 2025 China International Fair for Trade in Services(CIFTIS).At the heart of the event,a dynamic spirit of renewal was evident,as emerging patterns in cultural,tourism,and sports consumption unfolded throughout the fair.From the creative integration of the centuries-old Peking Opera with innovative business models,to immersive sports experiences and the rollout of streamlined tax refund procedures for international visitors,the fair showcased a nuanced yet significant shift in consumption practices.展开更多
The process of disposing of expanded polystyrene (EPS) is by burning it in municipal incinerators. This process gives off EPS microplastics, which can find their way into water, food, blood, and major organ systems. Z...The process of disposing of expanded polystyrene (EPS) is by burning it in municipal incinerators. This process gives off EPS microplastics, which can find their way into water, food, blood, and major organ systems. Zophobas morio larvae are capable of consuming and breaking down EPS within their digestive tracts by minimizing the spread of microplastics. Studies of the consumption of EPS by Z. morio larvae are typically conducted under white or no visible light treatments. This study tested whether the color of visible light influenced the consumption rate of EPS by Z. morio larvae. If Z. morio larvae consume EPS under visible light, then visible light will influence the amount of EPS consumed. If results suggest that the consumption rate is influenced by visible light colors, then Z. morio larvae could be a solution for recycling EPS. This study’s procedure placed Z. morio larvae into 25 jars under one of six visible light treatments of red, yellow, green, blue, white, and no visible light. Each jar contained a pre-weighed block of EPS and six Z. morio larvae. After two weeks, the Z. morio larvae were removed from the jars, and the difference between each pre-weighed EPS block and the weight of the same partially consumed block was recorded in three trials. The data indicates that green and blue visible light treatments resulted in the greatest amount of EPS consumed by Z. morio larvae while the red and yellow had the least amount of EPS consumed by the Z. morio larvae. In conclusion, results indicate that green and blue visible light, compared to the no visible light treatment, could be used to influence the Z. morio larvae to consume more EPS. Green and blue visible light and Z. morio larvae could make the recycling process of EPS more environmentally friendly when used in households or by local environmental organizations.展开更多
Purpose: The aim of the study was to investigate the profile of psychoactive substance users in Senegal from 2018 to 2022. Methodology: These were retrospective descriptive studies of patient consultation and hospital...Purpose: The aim of the study was to investigate the profile of psychoactive substance users in Senegal from 2018 to 2022. Methodology: These were retrospective descriptive studies of patient consultation and hospitalization records in the 17 psychiatric and addictology care centers in Senegal from 2018 to 2022. This was an exhaustive survey. All usable consultation and hospitalization registers were included in the study. Non-usable consultation and hospitalization registers were not included. Data were collected from January 1 to December 31 of each respective year. Data were cleaned using Excel before analysis. R software version 4.3.3 was used for analysis. Results: Between 2018 and 2022, 26,029 patients were registered in mental health facilities in Senegal. The Fann Psychiatry Department (CHNU Fann) admitted 23.2% of patients and the Thiaroye National Psychiatric Hospital registered 17.6% of drug users. For the year 2019, we found 8259 and in 2021, we had 6607 patients. The male gender was more represented with 14,750 patients, or 90.9%. The age group [25 - 34] was the majority (7013 patients or 39.5%). The majority of patients (17,425 patients, or 84.6%) were followed as outpatients. The drugs were mainly inhaled (96.7%). The most consumed substance was cannabis with 8847 patients, or 54.2%. Withdrawal was the main reason for treatment, 11,614 patients, or 85.7%. Conclusion: In the light of the results of our study, we can say that the use of psychoactive substances is a real public health and development problem in Senegal. The peaks in psychoactive substance consumption preceded the peaks in psychiatric care centers, so we need to promote information, education and communication on the harmful effects of psychoactive substance consumption among the population in general and young people in particular, in order to safeguard the country’s development.展开更多
On July 16th,the textile industry is one of the biggest consumers of water globally,requiring approximately 93 billion cubic meters annually.This is equivalent to around 4% of the total freshwater consumed worldwide.T...On July 16th,the textile industry is one of the biggest consumers of water globally,requiring approximately 93 billion cubic meters annually.This is equivalent to around 4% of the total freshwater consumed worldwide.The industry is facing increasing criticism as a result and is coming under pressure.Sustainability is therefore no longer just about image,but is a key competitive factor for textile manufacturers.展开更多
In modern society,influenced by mass culture and internal alienation,people experience alienation in the consumption field.The impulsive and excessive consumption of consumers not only reflects the changes in consumpt...In modern society,influenced by mass culture and internal alienation,people experience alienation in the consumption field.The impulsive and excessive consumption of consumers not only reflects the changes in consumption culture but is also the result of the combined action of market,technological,and psychological factors.The shopping spree in the context of e-commerce festival creation is due to the hard control of science and technology and the soft penetration of mass culture,which fully invade individuals’work and life,evoke false and excessive demands,and thus generate consumption.The practical path to get rid of consumption alienation and return to rational consumption can start from three aspects:aesthetic awakening,concept guidance,and environmental regulation.展开更多
Total nitrogen(TN)removal is one of the key issues in improving water quality,while the traditional nitrification-denitrification process with its high energy consumption is unsustainable,due to greenhouse gas(GHG)emi...Total nitrogen(TN)removal is one of the key issues in improving water quality,while the traditional nitrification-denitrification process with its high energy consumption is unsustainable,due to greenhouse gas(GHG)emission.A method using organic-inorganic pellets and selectedmicroalgae that can operate without electricity consumption was designed for TN removal in actual wastewater treatment.The results showed that the TN removal efficiencies with different pellets were 88.2%±2.2%,86.6%±3.0%,85.4%±4.3%,and 82.3%±6.5%,respectively.Microalgae assimilated inorganic nitrogen within cells,resulting in a significant positive relationship with TN(P<0.05),and effectively removed TNthrough sedimentation.The pellets adsorbed nitrogen andmicroorganisms,released organic substances to regulate the ratio of water chemical oxygen demand(COD)to TN,and correspondingly influenced microbial growth.Microalgae and bacteria such as Romboutsia,Proteiniclasticum,and Rhodopseudomonas cooperated to form a mixed aerobic(water)-anaerobic(pellets)environment in the devices,and acted synergistically to remove TN.This study verifies the feasibility of TN removal with only solar energy in a low flow application in large spaces,benefiting carbon neutrality in wastewater treatment.展开更多
By comparing price plans offered by several retail energy firms,end users with smart meters and controllers may optimize their energy use cost portfolios,due to the growth of deregulated retail power markets.To help s...By comparing price plans offered by several retail energy firms,end users with smart meters and controllers may optimize their energy use cost portfolios,due to the growth of deregulated retail power markets.To help smart grid end-users decrease power payment and usage unhappiness,this article suggests a decision system based on reinforcement learning to aid with electricity price plan selection.An enhanced state-based Markov decision process(MDP)without transition probabilities simulates the decision issue.A Kernel approximate-integrated batch Q-learning approach is used to tackle the given issue.Several adjustments to the sampling and data representation are made to increase the computational and prediction performance.Using a continuous high-dimensional state space,the suggested approach can uncover the underlying characteristics of time-varying pricing schemes.Without knowing anything regarding the market environment in advance,the best decision-making policy may be learned via case studies that use data from actual historical price plans.Experiments show that the suggested decision approach may reduce cost and energy usage dissatisfaction by using user data to build an accurate prediction strategy.In this research,we look at how smart city energy planners rely on precise load forecasts.It presents a hybrid method that extracts associated characteristics to improve accuracy in residential power consumption forecasts using machine learning(ML).It is possible to measure the precision of forecasts with the use of loss functions with the RMSE.This research presents a methodology for estimating smart home energy usage in response to the growing interest in explainable artificial intelligence(XAI).Using Shapley Additive explanations(SHAP)approaches,this strategy makes it easy for consumers to comprehend their energy use trends.To predict future energy use,the study employs gradient boosting in conjunction with long short-term memory neural networks.展开更多
The energy sector is pivotal in Vietnam’s commitment to achieving net-zero emissions by 2050.This study employs a combination of Structural Decomposition Analysis(SDA)and decoupling approaches based on data from Viet...The energy sector is pivotal in Vietnam’s commitment to achieving net-zero emissions by 2050.This study employs a combination of Structural Decomposition Analysis(SDA)and decoupling approaches based on data from Vietnam’s energy statistics and the Vietnam Living Standards Survey(VHLSS)for 2016,2018,and 2020.The primary aim is to elucidate the effects of direct energy consumption by household groups on CO_(2)emissions,examine factors affecting emissions,and clarify the relationship between CO_(2)emissions from household energy consumption and economic growth in Vietnam.Research results underscore that household groups make considerable use of electricity and Liquefied Petroleum Gas(LPG),simultaneously reducing the proportion of firewood,rice husk,sawdust,agricultural by-products and other fuels.The decrease in energy intensity emerges as the primary factor in lowering household emissions,while population growth and economic efficiency exert the opposite effect.Additionally,the research reveals disparities in emissions between urban and rural areas,similarly among household groups within the given location.Despite maintaining a robust decoupling status between emissions from household consumption and economic growth,unsustainable risks persist,particularly with the increase in electricity demand.The study also highlights the uneven impact of the COVID-19 epidemic on CO_(2)emissions across household groups.Drawing upon these findings,several recommendations are proposed to control CO_(2)emissions from direct energy household consumption to facilitate the most effective household decarbonisation process while ensuring sustainable economic growth in Vietnam.展开更多
Aquick tap on your phone on your way to work has your usual coffee arriving at the office before you do.Preparing for an evening event,a new foundation shade arrives in under 30 minutes,no store visit required.At a we...Aquick tap on your phone on your way to work has your usual coffee arriving at the office before you do.Preparing for an evening event,a new foundation shade arrives in under 30 minutes,no store visit required.At a weekend picnic,pet treats show up from across town just as easily as lunch.展开更多
Studies to enhance the management of electrical energy have gained considerable momentum in recent years. The question of how much energy will be needed in households is a pressing issue as it allows the management pl...Studies to enhance the management of electrical energy have gained considerable momentum in recent years. The question of how much energy will be needed in households is a pressing issue as it allows the management plan of the available resources at the power grids and consumer levels. A non-intrusive inference process can be adopted to predict the amount of energy required by appliances. In this study, an inference process of appliance consumption based on temporal and environmental factors used as a soft sensor is proposed. First, a study of the correlation between the electrical and environmental variables is presented. Then, a resampling process is applied to the initial data set to generate three other subsets of data. All the subsets were evaluated to deduce the adequate granularity for the prediction of the energy demand. Then, a cloud-assisted deep neural network model is designed to forecast short-term energy consumption in a residential area while preserving user privacy. The solution is applied to the consumption data of four appliances elected from a set of real household power data. The experiment results show that the proposed framework is effective for estimating consumption with convincing accuracy.展开更多
Subjective well-being is a key indicator of quality of life and a crucial factor for successful aging among older adults.However,few studies have explored the subjective well-being among older adults from the perspect...Subjective well-being is a key indicator of quality of life and a crucial factor for successful aging among older adults.However,few studies have explored the subjective well-being among older adults from the perspective of digital literacy.Therefore,this study explores the relationship between digital literacy and subjective well-being using data on 4270 older adults from the 2020 China Family Panel Studies(CFPS)dataset.PROCESS mediation analysis results indicated digital literacy is associated with higher subjective well-being among the older adults.Digital literacy was associated with the frequency of physical exercise and consumption.Moreover,Digital literacy can also enhance the subjective well-being among older adults by increasing the frequency of physical exercise,and consumption,and a chain mediator subjective well-being.These findings align with the theoretical framework of digital health literacy.Theory which posits that health information obtained through digital literacy can help older adults better engage in healthy lifestyles,thereby enhancing their quality of life.These findings hold significant practical implications for enhancing the subjective well-being among older adults and advancing the development of successful aging.展开更多
The wireless intelligent water distributor is an emerging technology increasingly applied in oilfields to enhance oil recovery.Although the system has many advantages,the high energy consumption of its integrated cont...The wireless intelligent water distributor is an emerging technology increasingly applied in oilfields to enhance oil recovery.Although the system has many advantages,the high energy consumption of its integrated control valve hinders its adoption in long-term applications.However,existing studies have not sufficiently captured the mechanical characteristics of forces acting on the spool,particularly under the influence of multiple coupled factors,such as fit clearance,deflection,and fluid-structure interaction,which limit the ability to accurately assess energy consumption.To address this gap,this study develops a comprehensive energy consumption model of the control valve,specifically addressing the design of fit clearance,a critical factor influencing energy efficiency.Utilizing a loosely coupled fluid-structure interaction algorithm,we established a mechanical model of the spool to investigate the fluid-solid interaction mechanisms within the fit clearance.For the first time,the effects of contact friction on energy consumption are incorporated.An optimization algorithm was then applied to determine the optimal fit clearance by balancing low friction and minimal leakage.The validity of our numerical model was confirmed through comparison with both theoretical and experimental results.Our results demonstrate that the fit clearance has a pronounced impact on the valve's energy usage:the total maximum energy consumption for one full stroke with a 0.05 mm clearance is 3.33%higher than with a 0.25 mm clearance.When the spool is independently driven,this value is 7.21%.The optimal fit clearance is determined to be 0.127 mm.These results can improve the overall performance and extend the service life of intelligent water distributors.The findings and models developed in this study provide essential theoretical support and practical strategies for optimizing control valve energy consumption.展开更多
Objective The relationship between fish consumption and stroke is inconsistent,and it is uncertain whether this association varies across predicted stroke risks.Methods A cohort study comprising 95,800 participants fr...Objective The relationship between fish consumption and stroke is inconsistent,and it is uncertain whether this association varies across predicted stroke risks.Methods A cohort study comprising 95,800 participants from the Prediction for Atherosclerotic Cardiovascular Disease Risk in China project was conducted.A standardized questionnaire was used to collect data on fish consumption.Participants were stratified into low-and moderate-to-high-risk categories based on their 10-year stroke risk prediction scores.Hazard ratios(HRs)and 95%confidence intervals(CIs)were estimated using Cox proportional hazard models and additive interaction by relative excess risk due to interaction(RERI),attributable proportion(AP),and synergy index(SI).Results During 703,869 person-years of follow-up,2,773 incident stroke events were identified.Higher fish consumption was associated with a lower risk of stroke,particularly among moderate-to-high-risk individuals(HR=0.53,95%CI:0.47-0.60)than among low-risk individuals(HR=0.64,95%CI:0.49-0.85).A significant additive interaction between fish consumption and predicted stroke risk was observed(RERI=4.08,95%CI:2.80-5.36;SI=1.64,95%CI:1.42-1.89;AP=0.36,95%CI:0.28-0.43).Conclusion Higher fish consumption was associated with a lower risk of stroke,and this beneficial association was more pronounced in individuals with moderate-to-high stroke risk.展开更多
文摘China’s booming performing arts sector is reshaping cultural experiences and creating vibrant new spaces for leisure,tourism and creativity The year 2025 marked a period of vigorous expansion for China’s performing arts sector,as the industry evolved from a traditional entertainment field into a comprehensive engine of cultural consumption.
基金supported by the Spanish Ministry of Health‐Plan Nacional sobre Drogas(2023‐I024)the the Ministry of Science,Innovation and Universities/State ResearchAgency/10.13039/501100011033(PID2023-146865OB-I00)+2 种基金Generalitat Valenciana(CIAICO/2021/203)the Primary Addiction Care Research Network(RD21/0009/0005)FEDER Funds,GVA.
文摘Mesenchymal stem cell-derived extracellular vesicles have emerged as a promising form of regenerative and immunomodulatory therapy;indeed,micro(mi)RNAs contained within mesenchymal stem cell-derived extracellular vesicles modulate target gene expression and impact disease-associated pathways.Chronic alcohol consumption leads to neuroinflammation,brain damage,and impaired cognition.Evidence indicates that females are more vulnerable to alcohol-induced damage than males.While mesenchymal stem cell-derived extracellular vesicles have been studied in various neuroinflammatory conditions,their potential to counteract alcohol-induced brain damage remains unclear.In this study,we investigated whether repeated intravenous administration of mesenchymal stem cell-derived extracellular vesicles could ameliorate neuroinflammation and behavioral impairment induced by chronic alcohol consumption in female mice.Mesenchymal stem cell-derived extracellular vesicles diminished the increased binding of a micro-positron emission tomography tracer(^(18)F-FDG)when analyzing whole-brain 3D images and brain coronal sections of ethanol-treated mice.Mesenchymal stem cell-derived extracellular vesicle administration protected against ethanol-induced proinflammatory gene upregulation,cognitive dysfunction,and the conditioned rewarding effects of cocaine.MiRNA sequencing data from mesenchymal stem cell-derived extracellular vesicles revealed the elevated expression of extracellular vesicle-derived miR-483-5p and miR-140-3p in the brains of ethanol-treated female mice following mesenchymal stem cell-derived extracellular vesicle administration.In addition,mesenchymal stem cell-derived extracellular vesicles modulated the expression of pro-inflammatory-related miRNA target genes(e.g.,Socs3,Tnf,Mtor,and Atf6)in the brains of ethanol-treated female mice.These results suggest that mesenchymal stem cell-derived extracellular vesicles could function as a neuroprotective therapy to ameliorate the neuroinflammation,cognitive dysfunction,and conditioned rewarding effects of cocaine associated with chronic alcohol consumption.
文摘AIM:To investigate the effects of chronic alcohol consumption on retinal microcirculation by comparing different alcohol-consuming groups using optical coherence tomography(OCT)and OCT angiography(OCTA).METHODS:This observational clinical study utilized a cross-sectional and prospective design,focusing on chronic alcohol consumers alongside a non-consuming control group.OCT/OCTA imaging parameters including central retinal subfield thickness(CST),subfoveal choroidal thickness(SCT),foveal avascular zone(FAZ)and vessel density(VD)in the superficial and deep capillary plexuses in both the macular and optic disc(OD)regions were recorded.Data were analyzed using SPSS 15.0;descriptive statistics were reported,group comparisons were performed with Chisquare,Kruskal–Wallis,and Bonferroni-corrected Mann–Whitney U tests,and relationships were assessed using Spearman correlation,with statistical significance set at P<0.05.RESULTS:A total of 160 eyes of 160 participants(110 females and 50 males with mean age 38.7±9.9y)who don’t smoke were divided into five groups:never,occasional,monthly,weekly and daily drinkers.The mean CST was 216.6±14.2μm and the mean SCT was 358.9±84.5μm.There was no statistically significantly difference in CST and SCT among the groups(P=0.890,0.799).Foveal superficial capillary plexuses(SCPs)VD was higher in monthly drinkers compared to occasional drinkers(P=0.015).Foveal VD in deep capillary plexus was also higher in monthly drinkers than in never and occasional drinkers(P=0.004,0.006).Nasal SCPs VD at the OD was higher in monthly drinkers compared to never drinkers(P=0.005).There was no significant difference FAZ area among the groups(P=0.071).CONCLUSION:Both superficial and deep microvascular structures in the inferior quadrants of macula are positively correlated with frequency of alcohol use.Also in our study results is that the monthly drinker group has uniquely higher VDs in both macula and OD.This leads us to consider moderate alcohol consumption may also have protective effects on retinal microcirculation.
基金supported by the Beijing Natural Science Foundation(L242149)Research Project on High Quality Development of Hospital Pharmacy,National Institute of Hospital Administration,NHC,China(NIHAYS2332)+1 种基金National High Level Hospital Clinical Research Funding(BJ-2023-199)Capital Funds for Health Improvement and Research(CFH)(2024-1-4052).
文摘Objective To examine national trends in antibiotic consumption and antimicrobial resistance(AMR)among six WHO-priority bacterial pathogens in China from 2016 to 2022.Methods This ecological study analyzed national and provincial data from the China Antibacterial Resistance Surveillance System(CARSS)and the National Hospital Information Network.Beta regression models assessed temporal trends,and hierarchical models evaluated associations between antibiotic use and resistance.Results From 2016 to 2022,carbapenem resistance in Acinetobacter baumannii and Pseudomonas aeruginosa,and vancomycin resistance in Enterococcus faecium and E.faecalis significantly declined(β<0,P<0.010),while carbapenem-resistant Klebsiella pneumoniae increased(β=0.081,P<0.001).Nationwide antibiotic consumption rose across 10 major classes.Positive associations were found between carbapenem use and resistance in A.baumannii(z=2.719,P=0.007)and P.aeruginosa(z=3.241,P=0.001),and between vancomycin use and resistance in E.faecium(z=4.510,P=0.001)and E.faecalis(z=3.210,P=0.001).Conclusion Carbapenem-resistant K.pneumoniae increased significantly in China,while other resistant pathogens declined.Resistance patterns were linked to the use of multiple antibiotic classes,underscoring the need for strengthened antibiotic stewardship and surveillance.
基金The Henan Key Research and Development and Promotion Project(Grant No.232102310245)the Joint Construction Project of Medical Science and Technology of Henan Province(Grant No.LHGJ20220426).
文摘The rise of antimicrobial resistance,particularly in healthcare-associated infections caused by carbapenem-resistant Gram-negative pathogens,poses a critical global challenge.The extensive use of carbapenems has exacerbated this issue by increasing selective pressure within bacterial populations.This study aimed to investigate the association between carbapenem consumption and resistance rates in four priority Gram-negative bacteria:Escherichia coli(EC),Klebsiella pneumoniae(KP),Acinetobacter baumannii(AB),and Pseudomonas aeruginosa(PA).Retrospective data were collected from the First Affiliated Hospital of Zhengzhou University,covering the period from January 2010 to December 2022.Trends in carbapenem consumption and resistance were analyzed using the Mann-Kendall test to assess statistical significance and the Sen’s slope(SS)estimator to determine the magnitude of change.Correlations between carbapenem use and bacterial resistance rates were evaluated via Spearman correlation analysis.Over the study period,the consumption of meropenem,imipenem,biapenem,and total carbapenems exhibited a significant upward trend(|Z|>1.96,SS>0).Correspondingly,the resistance rates of EC and KP to meropenem and imipenem also increased significantly(|Z|>1.96,SS>0).A strong positive correlation was observed between the resistance rate of EC to meropenem and the defined daily doses(DDDs)of meropenem(r=0.732,P<0.05)and between EC resistance to imipenem and its DDDs(r=0.49,P<0.05).Similar significant correlations were identified for KP.However,no significant associations were found between carbapenem resistance in AB or PA and carbapenem consumption.These findings underscored the strong correlation between carbapenem use and the resistance rates of EC and KP,highlighting the urgent need for stringent control and stewardship of carbapenem use in clinical settings to mitigate or delay the development of bacterial drug resistance.
基金supported by the National Natural Science Foundation of China(Nos.22278168 and 22276064)the MOE Key Laboratory of Resources and Environmental System Optimization(No.KLRE-KF202205)the Science and Technology Project of Fujian province(No.2022Y3007).
文摘Phase change absorbents based on amine chemical absorption for CO_(2)capture exhibit energy-saving potential,but generally suffer from difficulties in CO_(2)regeneration.Alcohol,characterized as a protic reagent with a low dielectric constant,can provide free protons to the rich phase of the absorbent,thereby facilitating CO_(2)regeneration.In this investigation,N-aminoethylpiperazine(AEP)/sulfolane/H_(2)O was employed as the liquid-liquid phase change absorbent,with alcohol serving as the regulator.First,appropriate ion pair models were constructed to simulate the solvent effect of the CO_(2)products in different alcohol solutions.The results demonstrated that these ion pair products reached the maximum solvation-free energy(△E_(solvation))in the rich phase containing ethanol(EtOH).Desorption experiment results validated that the inclusion of EtOH led to a maximum regeneration rate of 0.00763 mol/min,thus confirming EtOH’s suitability as the preferred regulator.Quantum chemical calculations and^(13)C NMR characterization were performed,revealing that the addition of EtOH resulted in the partial conversion of AEP-carbamate(AEPCOO−)into a new product known as ethyl carbonate(C_(2)H_(5)OCOO−),which enhanced the regeneration reactivity.In addition,the decomposition paths of different CO_(2)products were simulated visually,and every reaction’s activation energy(△E_(act))was calculated.Remarkably,the△E_(act)for the decomposition of C_(2)H_(5)OCOO−(9.465 kJ/mol)was lower than that of the AEPCOO−(26.163 kJ/mol),implying that CO_(2)was more likely to be released.Finally,the regeneration energy consumption of the alcohol-regulated absorbentwas estimated to be only 1.92 GJ/ton CO_(2),which had excellent energy-saving potential.
文摘The multiple nuclides identification algorithm with low consumption and strong robustness is crucial for rapid radioactive source searching.This study investigates the design of a low-consumption multiple nuclides identification algorithm for portable gamma spectrometers.First,the gamma spectra of 12 target nuclides(including the background case)were measured to create training datasets.The characteristic energies,obtained through energy calibration and full-energy peak addresses,are utilized as input features for a neural network.A large number of single-and multiple-nuclide training datasets are generated using random combinations and small-range drifting.Subsequently,a multi-label classification neural network based on a binary cross-entropy loss function is applied to export the existence probability of certain nuclides.The designed algorithm effectively reduces the computation time and storage space required by the neural network and has been successfully implemented in a portable gamma spectrometer with a running time of t_(r)<2 s.Results show that,in both validation and actual tests,the identification accuracy of the designed algorithm reaches 94.8%,for gamma spectra with a dose rate of d≈0.5μSv∕h and a measurement time t_(m)=60 s.This improves the ability to perform rapid on-site nuclide identification at important sites.
文摘Bathed in the golden light of September,Beijing’s Shougang Park hosted the 2025 China International Fair for Trade in Services(CIFTIS).At the heart of the event,a dynamic spirit of renewal was evident,as emerging patterns in cultural,tourism,and sports consumption unfolded throughout the fair.From the creative integration of the centuries-old Peking Opera with innovative business models,to immersive sports experiences and the rollout of streamlined tax refund procedures for international visitors,the fair showcased a nuanced yet significant shift in consumption practices.
文摘The process of disposing of expanded polystyrene (EPS) is by burning it in municipal incinerators. This process gives off EPS microplastics, which can find their way into water, food, blood, and major organ systems. Zophobas morio larvae are capable of consuming and breaking down EPS within their digestive tracts by minimizing the spread of microplastics. Studies of the consumption of EPS by Z. morio larvae are typically conducted under white or no visible light treatments. This study tested whether the color of visible light influenced the consumption rate of EPS by Z. morio larvae. If Z. morio larvae consume EPS under visible light, then visible light will influence the amount of EPS consumed. If results suggest that the consumption rate is influenced by visible light colors, then Z. morio larvae could be a solution for recycling EPS. This study’s procedure placed Z. morio larvae into 25 jars under one of six visible light treatments of red, yellow, green, blue, white, and no visible light. Each jar contained a pre-weighed block of EPS and six Z. morio larvae. After two weeks, the Z. morio larvae were removed from the jars, and the difference between each pre-weighed EPS block and the weight of the same partially consumed block was recorded in three trials. The data indicates that green and blue visible light treatments resulted in the greatest amount of EPS consumed by Z. morio larvae while the red and yellow had the least amount of EPS consumed by the Z. morio larvae. In conclusion, results indicate that green and blue visible light, compared to the no visible light treatment, could be used to influence the Z. morio larvae to consume more EPS. Green and blue visible light and Z. morio larvae could make the recycling process of EPS more environmentally friendly when used in households or by local environmental organizations.
文摘Purpose: The aim of the study was to investigate the profile of psychoactive substance users in Senegal from 2018 to 2022. Methodology: These were retrospective descriptive studies of patient consultation and hospitalization records in the 17 psychiatric and addictology care centers in Senegal from 2018 to 2022. This was an exhaustive survey. All usable consultation and hospitalization registers were included in the study. Non-usable consultation and hospitalization registers were not included. Data were collected from January 1 to December 31 of each respective year. Data were cleaned using Excel before analysis. R software version 4.3.3 was used for analysis. Results: Between 2018 and 2022, 26,029 patients were registered in mental health facilities in Senegal. The Fann Psychiatry Department (CHNU Fann) admitted 23.2% of patients and the Thiaroye National Psychiatric Hospital registered 17.6% of drug users. For the year 2019, we found 8259 and in 2021, we had 6607 patients. The male gender was more represented with 14,750 patients, or 90.9%. The age group [25 - 34] was the majority (7013 patients or 39.5%). The majority of patients (17,425 patients, or 84.6%) were followed as outpatients. The drugs were mainly inhaled (96.7%). The most consumed substance was cannabis with 8847 patients, or 54.2%. Withdrawal was the main reason for treatment, 11,614 patients, or 85.7%. Conclusion: In the light of the results of our study, we can say that the use of psychoactive substances is a real public health and development problem in Senegal. The peaks in psychoactive substance consumption preceded the peaks in psychiatric care centers, so we need to promote information, education and communication on the harmful effects of psychoactive substance consumption among the population in general and young people in particular, in order to safeguard the country’s development.
文摘On July 16th,the textile industry is one of the biggest consumers of water globally,requiring approximately 93 billion cubic meters annually.This is equivalent to around 4% of the total freshwater consumed worldwide.The industry is facing increasing criticism as a result and is coming under pressure.Sustainability is therefore no longer just about image,but is a key competitive factor for textile manufacturers.
基金“Construction and Practice of the Collaborative Education Model for the‘Ideological and Political Education+Archaeology’Experimental Class”(Project No.2023XYB039)。
文摘In modern society,influenced by mass culture and internal alienation,people experience alienation in the consumption field.The impulsive and excessive consumption of consumers not only reflects the changes in consumption culture but is also the result of the combined action of market,technological,and psychological factors.The shopping spree in the context of e-commerce festival creation is due to the hard control of science and technology and the soft penetration of mass culture,which fully invade individuals’work and life,evoke false and excessive demands,and thus generate consumption.The practical path to get rid of consumption alienation and return to rational consumption can start from three aspects:aesthetic awakening,concept guidance,and environmental regulation.
文摘Total nitrogen(TN)removal is one of the key issues in improving water quality,while the traditional nitrification-denitrification process with its high energy consumption is unsustainable,due to greenhouse gas(GHG)emission.A method using organic-inorganic pellets and selectedmicroalgae that can operate without electricity consumption was designed for TN removal in actual wastewater treatment.The results showed that the TN removal efficiencies with different pellets were 88.2%±2.2%,86.6%±3.0%,85.4%±4.3%,and 82.3%±6.5%,respectively.Microalgae assimilated inorganic nitrogen within cells,resulting in a significant positive relationship with TN(P<0.05),and effectively removed TNthrough sedimentation.The pellets adsorbed nitrogen andmicroorganisms,released organic substances to regulate the ratio of water chemical oxygen demand(COD)to TN,and correspondingly influenced microbial growth.Microalgae and bacteria such as Romboutsia,Proteiniclasticum,and Rhodopseudomonas cooperated to form a mixed aerobic(water)-anaerobic(pellets)environment in the devices,and acted synergistically to remove TN.This study verifies the feasibility of TN removal with only solar energy in a low flow application in large spaces,benefiting carbon neutrality in wastewater treatment.
文摘By comparing price plans offered by several retail energy firms,end users with smart meters and controllers may optimize their energy use cost portfolios,due to the growth of deregulated retail power markets.To help smart grid end-users decrease power payment and usage unhappiness,this article suggests a decision system based on reinforcement learning to aid with electricity price plan selection.An enhanced state-based Markov decision process(MDP)without transition probabilities simulates the decision issue.A Kernel approximate-integrated batch Q-learning approach is used to tackle the given issue.Several adjustments to the sampling and data representation are made to increase the computational and prediction performance.Using a continuous high-dimensional state space,the suggested approach can uncover the underlying characteristics of time-varying pricing schemes.Without knowing anything regarding the market environment in advance,the best decision-making policy may be learned via case studies that use data from actual historical price plans.Experiments show that the suggested decision approach may reduce cost and energy usage dissatisfaction by using user data to build an accurate prediction strategy.In this research,we look at how smart city energy planners rely on precise load forecasts.It presents a hybrid method that extracts associated characteristics to improve accuracy in residential power consumption forecasts using machine learning(ML).It is possible to measure the precision of forecasts with the use of loss functions with the RMSE.This research presents a methodology for estimating smart home energy usage in response to the growing interest in explainable artificial intelligence(XAI).Using Shapley Additive explanations(SHAP)approaches,this strategy makes it easy for consumers to comprehend their energy use trends.To predict future energy use,the study employs gradient boosting in conjunction with long short-term memory neural networks.
基金the Funds for Science and Technology Development of the Ministry of Education and Training,Vietnam(grant number B2023-DNA-21).
文摘The energy sector is pivotal in Vietnam’s commitment to achieving net-zero emissions by 2050.This study employs a combination of Structural Decomposition Analysis(SDA)and decoupling approaches based on data from Vietnam’s energy statistics and the Vietnam Living Standards Survey(VHLSS)for 2016,2018,and 2020.The primary aim is to elucidate the effects of direct energy consumption by household groups on CO_(2)emissions,examine factors affecting emissions,and clarify the relationship between CO_(2)emissions from household energy consumption and economic growth in Vietnam.Research results underscore that household groups make considerable use of electricity and Liquefied Petroleum Gas(LPG),simultaneously reducing the proportion of firewood,rice husk,sawdust,agricultural by-products and other fuels.The decrease in energy intensity emerges as the primary factor in lowering household emissions,while population growth and economic efficiency exert the opposite effect.Additionally,the research reveals disparities in emissions between urban and rural areas,similarly among household groups within the given location.Despite maintaining a robust decoupling status between emissions from household consumption and economic growth,unsustainable risks persist,particularly with the increase in electricity demand.The study also highlights the uneven impact of the COVID-19 epidemic on CO_(2)emissions across household groups.Drawing upon these findings,several recommendations are proposed to control CO_(2)emissions from direct energy household consumption to facilitate the most effective household decarbonisation process while ensuring sustainable economic growth in Vietnam.
文摘Aquick tap on your phone on your way to work has your usual coffee arriving at the office before you do.Preparing for an evening event,a new foundation shade arrives in under 30 minutes,no store visit required.At a weekend picnic,pet treats show up from across town just as easily as lunch.
基金funded by NARI Group’s Independent Project of China(Grant No.524609230125)the Foundation of NARI-TECH Nanjing Control System Ltd.of China(Grant No.0914202403120020).
文摘Studies to enhance the management of electrical energy have gained considerable momentum in recent years. The question of how much energy will be needed in households is a pressing issue as it allows the management plan of the available resources at the power grids and consumer levels. A non-intrusive inference process can be adopted to predict the amount of energy required by appliances. In this study, an inference process of appliance consumption based on temporal and environmental factors used as a soft sensor is proposed. First, a study of the correlation between the electrical and environmental variables is presented. Then, a resampling process is applied to the initial data set to generate three other subsets of data. All the subsets were evaluated to deduce the adequate granularity for the prediction of the energy demand. Then, a cloud-assisted deep neural network model is designed to forecast short-term energy consumption in a residential area while preserving user privacy. The solution is applied to the consumption data of four appliances elected from a set of real household power data. The experiment results show that the proposed framework is effective for estimating consumption with convincing accuracy.
文摘Subjective well-being is a key indicator of quality of life and a crucial factor for successful aging among older adults.However,few studies have explored the subjective well-being among older adults from the perspective of digital literacy.Therefore,this study explores the relationship between digital literacy and subjective well-being using data on 4270 older adults from the 2020 China Family Panel Studies(CFPS)dataset.PROCESS mediation analysis results indicated digital literacy is associated with higher subjective well-being among the older adults.Digital literacy was associated with the frequency of physical exercise and consumption.Moreover,Digital literacy can also enhance the subjective well-being among older adults by increasing the frequency of physical exercise,and consumption,and a chain mediator subjective well-being.These findings align with the theoretical framework of digital health literacy.Theory which posits that health information obtained through digital literacy can help older adults better engage in healthy lifestyles,thereby enhancing their quality of life.These findings hold significant practical implications for enhancing the subjective well-being among older adults and advancing the development of successful aging.
基金supported by China Scholarship Council(CSC)(No.202306440123).
文摘The wireless intelligent water distributor is an emerging technology increasingly applied in oilfields to enhance oil recovery.Although the system has many advantages,the high energy consumption of its integrated control valve hinders its adoption in long-term applications.However,existing studies have not sufficiently captured the mechanical characteristics of forces acting on the spool,particularly under the influence of multiple coupled factors,such as fit clearance,deflection,and fluid-structure interaction,which limit the ability to accurately assess energy consumption.To address this gap,this study develops a comprehensive energy consumption model of the control valve,specifically addressing the design of fit clearance,a critical factor influencing energy efficiency.Utilizing a loosely coupled fluid-structure interaction algorithm,we established a mechanical model of the spool to investigate the fluid-solid interaction mechanisms within the fit clearance.For the first time,the effects of contact friction on energy consumption are incorporated.An optimization algorithm was then applied to determine the optimal fit clearance by balancing low friction and minimal leakage.The validity of our numerical model was confirmed through comparison with both theoretical and experimental results.Our results demonstrate that the fit clearance has a pronounced impact on the valve's energy usage:the total maximum energy consumption for one full stroke with a 0.05 mm clearance is 3.33%higher than with a 0.25 mm clearance.When the spool is independently driven,this value is 7.21%.The optimal fit clearance is determined to be 0.127 mm.These results can improve the overall performance and extend the service life of intelligent water distributors.The findings and models developed in this study provide essential theoretical support and practical strategies for optimizing control valve energy consumption.
基金supported by the Chinese Academy of Medical Sciences(CAMS)Innovation Fund for Medical Sciences(2021-I2M-1-010,2019-I2M-2-003,and 2017-I2M-1-004)the National High Level Hospital Clinical Research Funding(2022-GSPGG-1,2022-GSP-GG-2)+2 种基金the Research Unit of Prospective Cohort of Cardiovascular Diseases and Cancers,CAMS(2019RU038)the National Key Research and Development Program of China(2018YFE0115300 and 2017YFC0211700)the National Natural Science Foundation of China(82030102,12126602).
文摘Objective The relationship between fish consumption and stroke is inconsistent,and it is uncertain whether this association varies across predicted stroke risks.Methods A cohort study comprising 95,800 participants from the Prediction for Atherosclerotic Cardiovascular Disease Risk in China project was conducted.A standardized questionnaire was used to collect data on fish consumption.Participants were stratified into low-and moderate-to-high-risk categories based on their 10-year stroke risk prediction scores.Hazard ratios(HRs)and 95%confidence intervals(CIs)were estimated using Cox proportional hazard models and additive interaction by relative excess risk due to interaction(RERI),attributable proportion(AP),and synergy index(SI).Results During 703,869 person-years of follow-up,2,773 incident stroke events were identified.Higher fish consumption was associated with a lower risk of stroke,particularly among moderate-to-high-risk individuals(HR=0.53,95%CI:0.47-0.60)than among low-risk individuals(HR=0.64,95%CI:0.49-0.85).A significant additive interaction between fish consumption and predicted stroke risk was observed(RERI=4.08,95%CI:2.80-5.36;SI=1.64,95%CI:1.42-1.89;AP=0.36,95%CI:0.28-0.43).Conclusion Higher fish consumption was associated with a lower risk of stroke,and this beneficial association was more pronounced in individuals with moderate-to-high stroke risk.
