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
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
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
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
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
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
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
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 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
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
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
BACKGROUND Patients who undergo cardiac surgery often face postoperative pain and potential cognitive issues.Multimodal analgesia may address these problems.We hypothesized that multimodal analgesia can reduce opioid ...BACKGROUND Patients who undergo cardiac surgery often face postoperative pain and potential cognitive issues.Multimodal analgesia may address these problems.We hypothesized that multimodal analgesia can reduce opioid use and improve cognitive recovery.AIM To investigate the effects of multimodal analgesia on postoperative opioid consumption and cognitive recovery in patients who underwent cardiac surgery.METHODS A prospective,randomized controlled trial at General Hospital from January 2020 to April 2023 recruited a total of 150 adult patients who underwent elective cardiac surgery.The patients were randomly divided into two groups.Group A had patient-controlled intravenous analgesia with sufentanil and flurbiprofen axil.Group B had flurbiprofen axil and paravertebral nerve block.Data were analyzed with appropriate statistical methods.RESULTS Group B had lower postoperative patient-controlled intravenous analgesia drug consumption(2.21 mL/hour vs 4.26 mL/hour,P<0.001),shorter extubation time(2.32 hours vs 3.81 hours,P<0.001),and intensive care unit stay(15.32 h vs 28.63 h,P<0.001).Visual Analogue Scale pain scores were lower in group B(P<0.001).Group B had fewer postoperative complications(no respiratory depression vs 37.9%in group A,P<0.05),a lower postoperative cognitive dysfunction incidence(16.0%vs 28.0%,P<0.05),and higher Barthel Index scores(P<0.05).CONCLUSION Multimodal analgesia with paravertebral nerve block and flurbiprofen axil reduces opioid use and improves cognitive outcomes in patients who underwent cardiac surgery.展开更多
How do individuals adjust their savings and consumption behaviors in response to the combined effects of increased life expectancy and declining pension replacement rates?This study constructs a life-cycle model,using...How do individuals adjust their savings and consumption behaviors in response to the combined effects of increased life expectancy and declining pension replacement rates?This study constructs a life-cycle model,using changes in conditional survival probabilities as a proxy for shifts in individual life expectancy,to examine consumption behavior under the dual backdrop of prolonged longevity and a gradual decline in pension replacement rates.The results suggest that changes in life expectancy and pension replacement rates together explain 8.9%to 10.2%of the observed decline in consumption in recent years,with both variables playing equally significant explanatory roles.Furthermore,we find that,to fully offset the negative impact of increased life expectancy on consumption,the pension replacement rate must reach at least 82%.These findings offer theoretical and policy implications for improving the quality of life in later years among enterprise employees in the context of population aging.展开更多
As the new generation of low Earth orbit(LEO)satellite communication systems begins to provide high-speed broadband access services to areas without terrestrial cellular coverage,scholars both domestically and interna...As the new generation of low Earth orbit(LEO)satellite communication systems begins to provide high-speed broadband access services to areas without terrestrial cellular coverage,scholars both domestically and internationally are reassessing the relationship between satellite and ground communications in regions prone to warfare and sparsely populated areas.Especially after the launch of Starlink’s“Direct to Cell”service,many believe that new-generation LEO satellite communication systems may not just be a supplement to terrestrial networks in the future.Presently,the discourse surrounding satellite-terrestrial network technology predominantly centers on economic costs and user acceptance,with a noticeable gap in research that addresses green communication and sustainable development.This paper,therefore,aims to fill this void by modeling the energy consumption of LEO satellite communication systems,exemplified by Starlink,and juxtaposing it with that of terrestrial networks.Our findings indicate that the energy consumption of satellite communication systems,such as Starlink,is a staggering 32.9 times higher than that of ground base station clusters in remote regions and an astonishing 715 times greater in densely populated urban areas.Although satellite communication systems hold the promise of global coverage,their standalone construction without integration with terrestrial networks could lead to significant energy waste.展开更多
With the large-scale promotion of distributed photovoltaics,new challenges have emerged in the photovoltaic consumptionwithin distribution networks.Traditional photovoltaic consumption schemes have primarily focused o...With the large-scale promotion of distributed photovoltaics,new challenges have emerged in the photovoltaic consumptionwithin distribution networks.Traditional photovoltaic consumption schemes have primarily focused on static analysis.However,as the scale of photovoltaic power generation devices grows and the methods of integration diversify,a single consumption scheme is no longer sufficient to meet the actual needs of current distribution networks.Therefore,this paper proposes an optimal evaluation method for photovoltaic consumption schemes based on BASS model predictions of installed capacity,aiming to provide an effective tool for generating and evaluating photovoltaic consumption schemes in distribution networks.First,the BASS diffusion model,combined with existing photovoltaic capacity data and roof area information,is used to predict the trends in photovoltaic installed capacity for each substation area,providing a scientific basis for consumption evaluation.Secondly,an improved random scenario simulation method is proposed for assessing the photovoltaic consumption capacity in distribution networks.This method generates photovoltaic integration schemes based on the diffusion probabilities of different regions and evaluates the consumption capacity of each scheme.Finally,the Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS)is used to comprehensively evaluate the generated schemes,ensuring that the selected scheme not only meets the consumption requirements but also offers high economic benefits and reliability.The effectiveness and feasibility of the proposedmethod are validated through simulations of the IEEE 33-node system,providing strong support for optimizing photovoltaic consumption schemes in distribution networks.展开更多
Reconfigurable intelligent surfaces(RISs)with the capability of nearly passive beamforming,have recently sparked considerable interests.This paper presents an energy-efficient discrete phase encoding method for RIS-as...Reconfigurable intelligent surfaces(RISs)with the capability of nearly passive beamforming,have recently sparked considerable interests.This paper presents an energy-efficient discrete phase encoding method for RIS-assisted communication systems.Firstly,the beamforming gain,power consumption and energy efficiency models for the RIS-assisted system are illustrated.On this basis,the discrete phase encoding problem is formulated for the purpose of improving the energy efficiency,under the power constraint and the quality-of-service(QoS)requirement.According to the interrelation between the phase encoding and power consumption,a three-step encoding method is proposed with the capability of customizing the beamforming gain,power consumption,and energy efficiency.Simulation results indicate that the proposed method is capable of achieving a more favorable performance in terms of satisfying the QoS demand,reducing the power consumption,and improving the energy efficiency.Furthermore,two field trials at 35 GHz evidence the superiority performance and feasibility characteristics of the proposed method in real environment.This work may provide a reference for future applications of RIS-assisted system with an energy-efficient manner.展开更多
Although currently,a large part of the existing buildings is considered inefficient in terms of energy,the ability to save energy consumption up to 80%has been proven in residential and commercial buildings.Also,carbo...Although currently,a large part of the existing buildings is considered inefficient in terms of energy,the ability to save energy consumption up to 80%has been proven in residential and commercial buildings.Also,carbon dioxide is one of the most important greenhouse gases contributing to climate change and is responsible for 60%of global warming.The facade of the building,as the main intermediary between the interior and exterior spaces,plays a significant role in adjusting the weather conditions and providing thermal comfort to the residents.In this research,715 different scenarios were defined with the combination of various types of construction materials,and the effect of each of these scenarios on the process of energy loss from the surface of the external walls of the building during the operation period was determined.In the end,these scenarios were compared during a one-year operation period,and the amount of energy consumption in each of these scenarios was calculated.Also,bymeasuring the amount of carbon emissions in buildings during the operation period and before that,let’s look at practical methods to reduce the effects of the construction industry on the environment.By comparing the research findings,it can be seen that the ranking of each scenario in terms of total energy consumption is not necessarily the same as the ranking of energy consumption for gas consumption or electricity consumption for the same scenario.That is,choosing the optimal scenario depends on the type of energy consumed in the building.Finally,we determined the scenarios with the lowest and highest amounts of embodied and operational carbon.In the end,we obtained the latent carbon compensation period for each scenario.This article can help designers and construction engineers optimize the energy consumption of buildings by deciding on the right materials.展开更多
Chinese Wine Culture influences people’s attitudes toward alcohol.The current study focuses on exploring the main features of a localized digital alcohol consumption intervention mini-program to address the difficult...Chinese Wine Culture influences people’s attitudes toward alcohol.The current study focuses on exploring the main features of a localized digital alcohol consumption intervention mini-program to address the difficulties of abstinence for native drinkers,as a promising way for long-term management of rehabilitation from alcohol use disorder.A mixed-method approach was used in this study.The self-report quantitative questionnaire recruited three groups of participants:89 drinkers,67 drinkers’relatives,and 30 medical staff.The focus group qualitative interview inspected 36 participants’perspectives on the core topics,including 21 drinkers,4 drinkers’relatives,and 11 medical staff.The results of combining the quantitative study and qualitative study indicated that the top difficulties of abstinence for native drinkers are the strong craving from the inside,the environmental influence,and the psychological health status,especially emotional states.Correspondingly,the most desired main features in an alcohol consumption digital intervention tool are the daily track of drinking conditions and craving level,periodic feedback reports that can share with others,and mood improvement training.Moreover,the top factors that influence participants’intention to use/recommend the tool are whether the tool is effective,whether the user experience is good,and whether the tool can replenish the deficiency of the current alcohol treatment.Future work needs to balance what patients want and what others around them expect,so that potential users can benefit best from the digital intervention tool in the context of Chinese culture.展开更多
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.
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.
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.
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.
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 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.
文摘BACKGROUND Patients who undergo cardiac surgery often face postoperative pain and potential cognitive issues.Multimodal analgesia may address these problems.We hypothesized that multimodal analgesia can reduce opioid use and improve cognitive recovery.AIM To investigate the effects of multimodal analgesia on postoperative opioid consumption and cognitive recovery in patients who underwent cardiac surgery.METHODS A prospective,randomized controlled trial at General Hospital from January 2020 to April 2023 recruited a total of 150 adult patients who underwent elective cardiac surgery.The patients were randomly divided into two groups.Group A had patient-controlled intravenous analgesia with sufentanil and flurbiprofen axil.Group B had flurbiprofen axil and paravertebral nerve block.Data were analyzed with appropriate statistical methods.RESULTS Group B had lower postoperative patient-controlled intravenous analgesia drug consumption(2.21 mL/hour vs 4.26 mL/hour,P<0.001),shorter extubation time(2.32 hours vs 3.81 hours,P<0.001),and intensive care unit stay(15.32 h vs 28.63 h,P<0.001).Visual Analogue Scale pain scores were lower in group B(P<0.001).Group B had fewer postoperative complications(no respiratory depression vs 37.9%in group A,P<0.05),a lower postoperative cognitive dysfunction incidence(16.0%vs 28.0%,P<0.05),and higher Barthel Index scores(P<0.05).CONCLUSION Multimodal analgesia with paravertebral nerve block and flurbiprofen axil reduces opioid use and improves cognitive outcomes in patients who underwent cardiac surgery.
文摘How do individuals adjust their savings and consumption behaviors in response to the combined effects of increased life expectancy and declining pension replacement rates?This study constructs a life-cycle model,using changes in conditional survival probabilities as a proxy for shifts in individual life expectancy,to examine consumption behavior under the dual backdrop of prolonged longevity and a gradual decline in pension replacement rates.The results suggest that changes in life expectancy and pension replacement rates together explain 8.9%to 10.2%of the observed decline in consumption in recent years,with both variables playing equally significant explanatory roles.Furthermore,we find that,to fully offset the negative impact of increased life expectancy on consumption,the pension replacement rate must reach at least 82%.These findings offer theoretical and policy implications for improving the quality of life in later years among enterprise employees in the context of population aging.
基金the National Key R&D Program of China“6G satellite communication access networking technology”(No.2020YFB1808000).
文摘As the new generation of low Earth orbit(LEO)satellite communication systems begins to provide high-speed broadband access services to areas without terrestrial cellular coverage,scholars both domestically and internationally are reassessing the relationship between satellite and ground communications in regions prone to warfare and sparsely populated areas.Especially after the launch of Starlink’s“Direct to Cell”service,many believe that new-generation LEO satellite communication systems may not just be a supplement to terrestrial networks in the future.Presently,the discourse surrounding satellite-terrestrial network technology predominantly centers on economic costs and user acceptance,with a noticeable gap in research that addresses green communication and sustainable development.This paper,therefore,aims to fill this void by modeling the energy consumption of LEO satellite communication systems,exemplified by Starlink,and juxtaposing it with that of terrestrial networks.Our findings indicate that the energy consumption of satellite communication systems,such as Starlink,is a staggering 32.9 times higher than that of ground base station clusters in remote regions and an astonishing 715 times greater in densely populated urban areas.Although satellite communication systems hold the promise of global coverage,their standalone construction without integration with terrestrial networks could lead to significant energy waste.
基金supported in part by theThe Planning Subject Project of Guangdong Power Grid Co.,Ltd.(62273104).
文摘With the large-scale promotion of distributed photovoltaics,new challenges have emerged in the photovoltaic consumptionwithin distribution networks.Traditional photovoltaic consumption schemes have primarily focused on static analysis.However,as the scale of photovoltaic power generation devices grows and the methods of integration diversify,a single consumption scheme is no longer sufficient to meet the actual needs of current distribution networks.Therefore,this paper proposes an optimal evaluation method for photovoltaic consumption schemes based on BASS model predictions of installed capacity,aiming to provide an effective tool for generating and evaluating photovoltaic consumption schemes in distribution networks.First,the BASS diffusion model,combined with existing photovoltaic capacity data and roof area information,is used to predict the trends in photovoltaic installed capacity for each substation area,providing a scientific basis for consumption evaluation.Secondly,an improved random scenario simulation method is proposed for assessing the photovoltaic consumption capacity in distribution networks.This method generates photovoltaic integration schemes based on the diffusion probabilities of different regions and evaluates the consumption capacity of each scheme.Finally,the Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS)is used to comprehensively evaluate the generated schemes,ensuring that the selected scheme not only meets the consumption requirements but also offers high economic benefits and reliability.The effectiveness and feasibility of the proposedmethod are validated through simulations of the IEEE 33-node system,providing strong support for optimizing photovoltaic consumption schemes in distribution networks.
基金supported in part by the National Natural Science Foundation of China under Grants 62231009 and 62261160576in part by the Fundamental Research Funds for the Central Universities under Grant 2242023K5003in part by the Startup Research Fund of Southeast University under Grant RF1028623267。
文摘Reconfigurable intelligent surfaces(RISs)with the capability of nearly passive beamforming,have recently sparked considerable interests.This paper presents an energy-efficient discrete phase encoding method for RIS-assisted communication systems.Firstly,the beamforming gain,power consumption and energy efficiency models for the RIS-assisted system are illustrated.On this basis,the discrete phase encoding problem is formulated for the purpose of improving the energy efficiency,under the power constraint and the quality-of-service(QoS)requirement.According to the interrelation between the phase encoding and power consumption,a three-step encoding method is proposed with the capability of customizing the beamforming gain,power consumption,and energy efficiency.Simulation results indicate that the proposed method is capable of achieving a more favorable performance in terms of satisfying the QoS demand,reducing the power consumption,and improving the energy efficiency.Furthermore,two field trials at 35 GHz evidence the superiority performance and feasibility characteristics of the proposed method in real environment.This work may provide a reference for future applications of RIS-assisted system with an energy-efficient manner.
文摘Although currently,a large part of the existing buildings is considered inefficient in terms of energy,the ability to save energy consumption up to 80%has been proven in residential and commercial buildings.Also,carbon dioxide is one of the most important greenhouse gases contributing to climate change and is responsible for 60%of global warming.The facade of the building,as the main intermediary between the interior and exterior spaces,plays a significant role in adjusting the weather conditions and providing thermal comfort to the residents.In this research,715 different scenarios were defined with the combination of various types of construction materials,and the effect of each of these scenarios on the process of energy loss from the surface of the external walls of the building during the operation period was determined.In the end,these scenarios were compared during a one-year operation period,and the amount of energy consumption in each of these scenarios was calculated.Also,bymeasuring the amount of carbon emissions in buildings during the operation period and before that,let’s look at practical methods to reduce the effects of the construction industry on the environment.By comparing the research findings,it can be seen that the ranking of each scenario in terms of total energy consumption is not necessarily the same as the ranking of energy consumption for gas consumption or electricity consumption for the same scenario.That is,choosing the optimal scenario depends on the type of energy consumed in the building.Finally,we determined the scenarios with the lowest and highest amounts of embodied and operational carbon.In the end,we obtained the latent carbon compensation period for each scenario.This article can help designers and construction engineers optimize the energy consumption of buildings by deciding on the right materials.
基金the National Natural Science Foundation of China(No.82171484)the Interdisciplinary Program of Shanghai Jiao Tong University(No.YG2023ZD25)。
文摘Chinese Wine Culture influences people’s attitudes toward alcohol.The current study focuses on exploring the main features of a localized digital alcohol consumption intervention mini-program to address the difficulties of abstinence for native drinkers,as a promising way for long-term management of rehabilitation from alcohol use disorder.A mixed-method approach was used in this study.The self-report quantitative questionnaire recruited three groups of participants:89 drinkers,67 drinkers’relatives,and 30 medical staff.The focus group qualitative interview inspected 36 participants’perspectives on the core topics,including 21 drinkers,4 drinkers’relatives,and 11 medical staff.The results of combining the quantitative study and qualitative study indicated that the top difficulties of abstinence for native drinkers are the strong craving from the inside,the environmental influence,and the psychological health status,especially emotional states.Correspondingly,the most desired main features in an alcohol consumption digital intervention tool are the daily track of drinking conditions and craving level,periodic feedback reports that can share with others,and mood improvement training.Moreover,the top factors that influence participants’intention to use/recommend the tool are whether the tool is effective,whether the user experience is good,and whether the tool can replenish the deficiency of the current alcohol treatment.Future work needs to balance what patients want and what others around them expect,so that potential users can benefit best from the digital intervention tool in the context of Chinese culture.
