To address uncertainty as well as transient stability constraints simultaneously in the preventive control of windfarm systems, a novel three-stage optimization strategy is established in this paper. In the first stag...To address uncertainty as well as transient stability constraints simultaneously in the preventive control of windfarm systems, a novel three-stage optimization strategy is established in this paper. In the first stage, the probabilisticmulti-objective particle swarm optimization based on the point estimate method is employed to cope with thestochastic factors. The transient security region of the system is accurately ensured by the interior point methodin the second stage. Finally, the verification of the final optimal objectives and satisfied constraints are enforcedin the last stage. Furthermore, the proposed strategy is a general framework that can combine other optimizationalgorithms. The proposed methodology is tested on the modified WSCC 9-bus system and the New England 39-bussystem. The results verify the feasibility of the method.展开更多
This study proposes a new transient-stability preventive control (TSPC) method based on graph convolutional neural networks (GCNN) and transfer deep reinforcement learning (DRL) to address non-convergence problems of ...This study proposes a new transient-stability preventive control (TSPC) method based on graph convolutional neural networks (GCNN) and transfer deep reinforcement learning (DRL) to address non-convergence problems of traditional optimization algorithms and slow training speed of artificial intelligence algorithms for TSPC. First, a transient stability assessor (TSA) with GCNN is developed to assess current-power-flow state. Sensitivities of the transient-stability index relative to the generators are approximately calculated using TSA;generators with significant influence able to narrow action space are identified. Subsequently, the Markov decision-making process of TSPC is derived by introducing the process of TSPC. A DRL for TSPC is constructed by adding entropy to twin delayed deep deterministic policy gradient (TD3). Knowledge learned by TSA is transferred to DRL based on transfer learning, which improves learning efficiency. Finally, case studies based on the IEEE 39-bus system and an actual power grid prove the effectiveness of the proposed method. Comparisons performed with reference algorithms in literature demonstrate the proposed method has better performance in both control effect and speed.展开更多
With the increasing integration of wind farms and electric vehicles(EVs)in power systems,voltage stability is becoming more and more serious.Based on vehicle-to-grid(V2G),an efficient power plant model of EVs(E-EPP)wa...With the increasing integration of wind farms and electric vehicles(EVs)in power systems,voltage stability is becoming more and more serious.Based on vehicle-to-grid(V2G),an efficient power plant model of EVs(E-EPP)was developed to estimate EV charging load with available corresponding response capacity under different charging strategies.A preventive control strategy based on E-EPP was proposed to maintain the static voltage stability margin(VSM)of power system above a predefined security level.Two control modes were used including the disconnection of EV charging load(‘V1G’mode)and the discharge of stored battery energy back to power grid(‘V2G’mode).A modified IEEE 14-bus system with high penetration of wind power and EVs was used to verify the effectiveness of preventive control strategy.Simulation results showed that the proposed strategy can not only improve the static voltage stability of power system with considerable wind generation,but also guarantee the travelling comfort for EV owners.展开更多
This paper proposes a new approach for online power system transient security assessment(TSA)and preventive control based on XGBoost and DC optimal power flow(DCOPF).The novelty of this proposal is that it applies the...This paper proposes a new approach for online power system transient security assessment(TSA)and preventive control based on XGBoost and DC optimal power flow(DCOPF).The novelty of this proposal is that it applies the XGBoost and data selection method based on the 1-norm distance in local feature importance evaluation which can provide a certain model interpretability.The method of SMOTE+ENN is adopted for data rebalancing.The contingency-oriented XGBoost model is trained with databases generated by time domain simulations to represent the transient security constraint in the DCOPF model,which has a relatively fast speed of calculation.The transient security constrained generation rescheduling is implemented with the differential evolution algorithm,which is utilized to optimize the rescheduled generation in the preventive control.Feasibility and effectiveness of the proposed approach are demonstrated on an IEEE 39-bus test system and a 500-bus operational model for South Carolina,USA.展开更多
Preventive transient stability control is an effective measure for the power system to withstand high-probability severe contingencies.It is mathematically an optimal power flow problem with transient stability constr...Preventive transient stability control is an effective measure for the power system to withstand high-probability severe contingencies.It is mathematically an optimal power flow problem with transient stability constraints.Due to the constraints involved for differential algebraic equations of transient stability,it is difficult and time-consuming to solve this problem.To address these issues,this paper presents a novel deep reinforcement learning(DRL)framework for preventive transient stability control of power systems.A distributed deep deterministic policy gradient is utilized to train a DRL agent that can learn its control policy through massive interactions with a grid simulator.Once properly trained,the DRL agent can instantaneously provide effective strategies to adjust the system to a safe operating position with a near-optimal operational cost.The effectiveness of the proposed method is verified through numerical experiments conducted on a New England 39-bus system and NPCC 140-bus system.展开更多
Enhancing power system resilience against extreme events is becoming increasingly critical. This paper discusses a unified framework for preventive control of power systems to enhance system resilience, which includes...Enhancing power system resilience against extreme events is becoming increasingly critical. This paper discusses a unified framework for preventive control of power systems to enhance system resilience, which includes three parts: resilience assessment, resilience grading, and resilience enhancement. First, the resilience assessment contains facility-level and system-level resilience assessment. The concept of fragility curve is used in the facility-level resilience assessment. Various resilience indices are developed in system-level resilience assessment to roundly depict the impacts of extreme events on power systems and determine the system resilience. On this basis, the resilience is divided into different levels by resilience grading strategy, which can efficiently quantify the severity of the impact of extreme events and provide decision-making for the resilience enhancement strategies. Then, control strategies for enhancing power system resilience are also divided according to different resilience levels. A controlled islanding based preventive control is proposed to enhance system resilience, which aims to strengthen the first defensive line of power systems to deal with extreme events. Finally, taking the typhoon disaster in extreme events as an example, two tests carried out with two typhoons demonstrate the efficiency of the proposed method.展开更多
Accurate transient stability assessment(TSA) and effective preventive control are important for the stable operation of power systems. With the superiorities in precision and efficiency, data-driven methods are widely...Accurate transient stability assessment(TSA) and effective preventive control are important for the stable operation of power systems. With the superiorities in precision and efficiency, data-driven methods are widely used in TSA nowadays. Data-driven TSA model can be adopted in the stability constraints of preventive control optimization, but existing methods are mostly iteration-based ones, which may result in low efficiency, sometimes even non-convergence. In this paper,an analytical representation method of data-driven transient stability constraint is proposed based on a non-parametric regression model built for TSA. Key feature extraction and dominant sample selection are proposed to reduce the scale of the TSA model, and bi-level linearization is applied to further modify it.Optimal preventive control model is then formulated as a mixed-integer linear program(MILP) problem with the linearized analytical data-driven transient stability constraint, which can be solved without iterations. An overall procedure of datadriven TSA and preventive control is finally developed. Case studies show that the proposed method has high accuracy in TSA and can achieve effective preventive control of power system with high efficiency.展开更多
As a major global public health issue,tuberculosis is closely related to multiple socio-ecological factors in its epidemiological patterns~([1]).China,as a high-burden country for tuberculosis,exhibits regional variat...As a major global public health issue,tuberculosis is closely related to multiple socio-ecological factors in its epidemiological patterns~([1]).China,as a high-burden country for tuberculosis,exhibits regional variations in the distribution of the tuberculosis epidemic.To enhance the efficiency of prevention and control,its strategies are undergoing a transition toward regionally differentiated approaches~([2]).展开更多
With the reduction of sequencing costs,optimization of algorithms,and improvement of multi-omics integration capabilities,transcriptomics,as a core technology for analyzing gene expression dynamics and discovering key...With the reduction of sequencing costs,optimization of algorithms,and improvement of multi-omics integration capabilities,transcriptomics,as a core technology for analyzing gene expression dynamics and discovering key functional molecules,has shown great potential in the field of disease prevention and control[1,2].The multi-continental transcriptomics study of tick-borne poxvirus not only provides a new perspective for understanding the evolution and transmission of vector-mediated viruses,but also reflects the trend of transcriptomics research and highlights its key role in disease prevention and control[3].展开更多
To further enhance the yield and quality of kiwifruit and promote the sustainable development of the kiwifruit industry,this paper summarized the characteristics,damage sites,and control methods of major kiwifruit dis...To further enhance the yield and quality of kiwifruit and promote the sustainable development of the kiwifruit industry,this paper summarized the characteristics,damage sites,and control methods of major kiwifruit diseases and pests.It pointed out the main issues in current kiwifruit pest and disease management and proposed corresponding solutions.The prevention and control of kiwifruit pests should adhere to the principle of"prevention first,integrated management",and standardized planting modes should be implemented.In this process,priority should be given to agricultural,physical,and biological control methods to effectively reduce the use of chemical pesticides.展开更多
Objective:To investigate the lifestyle and myopia among primary school students in urban areas of Fujian with the context of myopia prevention and control measures,aiming to provide scientific evidence for identifying...Objective:To investigate the lifestyle and myopia among primary school students in urban areas of Fujian with the context of myopia prevention and control measures,aiming to provide scientific evidence for identifying high-risk myopia population and formulating effective intervention strategies.Methods:A cross-sectional study was conducted from October to November 2023,enrolling 811 fourth-grade students from three primary schools in three cities across Fujian.Personal information and lifestyle-related pattern were collected using customized questionnaire.Participants underwent comprehensive ophthalmic assessments including distance visual acuity tests and refractive examinations.Logistic regression analysis was used to assess the impact of lifestyle on the onset of myopia.Results:The prevalence of myopia among fourth-grade students in urban primary schools in Fujian was 46.4%.Only 25.8%students engaged in outdoor activities for more than 2 hours daily,while63.3%participated in outdoor activities during class breaks.Multivariate Logistic regression analysis revealed that outdoor activities during class breaks(OR=0.646(95%confidence interval(CI):0.473-0.881),P=0.006)and daily time spent outdoors(2-3 hours,OR=0.682(95%CI:0.466-0.993),P=0.047;more than 3 hours,OR=0.403(95%CI:0.192-0.796),P=0.01)were independent protective factors against myopia.Lifestyle significantly enhanced the predictive performance for myopia(P=0.01).Additionally,parental myopia(one parent with myopia,OR=2.247(95%CI:1.612-3.145),P<0.001;both parents with myopia,OR=4.824(95%CI:3.262-7.204),P<0.001)emerged as a key risk factor for myopia.Conclusions:There is considerable scope for improving the lifestyle of primary school students in urban areas of Fujian.Lifestyle is strongly associated with myopia onset,highlighting the need for schools and families to actively encourage students to engage in more outdoor activities and take breaks outdoors to prevent and control myopia.Students with parents,especially both parents,having myopia should be considered as a key target group for myopia prevention efforts.展开更多
This paper focuses on the key role and practical paths of operating room nurses in infection control,and studies the difficult problems in the prevention and control of surgical site infections.Analyze the infection r...This paper focuses on the key role and practical paths of operating room nurses in infection control,and studies the difficult problems in the prevention and control of surgical site infections.Analyze the infection risk links in the operating room and the core responsibilities of nurses,reveal the multiple role mechanisms of nurses in infection control,design practical strategies from dimensions such as process optimization,skill improvement,and monitoring feedback,and construct an infection control system involving all staff.Research shows that operating room nurses can effectively reduce the risk of infection,improve medical quality,provide core guarantees for patient safety,and promote the transformation of operating room infection control towards refined management through practical actions such as standardized operation execution,real-time risk monitoring,and team collaboration supervision.展开更多
Benefit evaluation of debris flow prevention and control projects was one of the essential contents of debris flow prevention and mitigation work.In order to scientifically and quantitatively evaluate the comprehensiv...Benefit evaluation of debris flow prevention and control projects was one of the essential contents of debris flow prevention and mitigation work.In order to scientifically and quantitatively evaluate the comprehensive benefit of debris flow prevention and control projects,this study identified nine factors as evaluation indicators from economic,social,and ecological aspects.The projection pursuit(PP) model based on the improved particle swarm optimization(IPSO) algorithm was used to construct a mathematical model to evaluate the benefit of debris flow prevention and control projects.The interpolation method was applied to divide the benefit grades.The debris flow prevention and control projects in Qipan,Taoguan,Chutou,Anjia,and Mozi gullies in Wenchuan County were chosen as typical cases for empirical analysis.The case study revealed that,among the criteria layer indicators,investment per unit of the protected area,investment per unit of the protected population,the amount of water and soil conservation,and reduction rate of accumulation fan had the most significant weights.The social and ecological benefits were found to be the more important in the target layer.The comprehensive benefit of Qipan,Taoguan,Chutou,Anjia,and Mozi gullies was found to be 4.44,4.83,1.95,3,and 2,respectively.The benefit ranking of the five gullies was consistent with their effectiveness in disaster prevention ranking in the flood season of 2019.Therefore,it could prove that the newly-built benefit evaluation model was practical and feasible,and the evaluation results of the sample could be reasonably interpreted,which verified the effectiveness of the methods.展开更多
Economically and effectively managing the risk of landslide-generated impulse waves(LGIWs)presents a significant challenge following the impoundment of newly constructed reservoirs in western China.To address this iss...Economically and effectively managing the risk of landslide-generated impulse waves(LGIWs)presents a significant challenge following the impoundment of newly constructed reservoirs in western China.To address this issue,we selected the Wangjiashan(WJS)landslide in the Baihetan Reservoir area as a case study to evaluate LGIW hazards and develop corresponding mitigation strategies.Using 2D physical model tests and 3D numerical simulations,we established a 3D hazard assessment method for LGIWs based on 2D experimental results.This method confirmed the effectiveness of slope-cutting engineering in mitigating LGIW hazards.Based on this assessment framework,we proposed a novel approach for LGIW risk reduction.The results showed that the maximum wave amplitude reached 19.64 m in the Jinsha River channel,and the maximum run-up was 11.5 m in the XiangBiLing(XBL)community,indicating a substantial LGIW threat to the area.By reducing the rear edge of the sliding mass to 920 m above sea level(asl),the LGIW risk to the XBL community could be lowered to a tolerable level.Compared with traditional landslide prevention and control measures,the proposed mitigation scheme can reduce excavation costs by approximately 37 million CNY,making it a more scientifically sound and economically feasible solution.We explored the concept and the implementation of LGIW risk mitigation in depth,offering new insights for global LGIW risk management.This case study enhances our understanding of LGIW hazard prevention and provides valuable guidance for policymaking and engineering practices in similar geological settings worldwide.展开更多
As the cornerstone of sterile instrument maintenance in endoscopy centers,the quality of endoscope cleaning directly impacts hospital infection control effectiveness.The traceability system for endoscopy centers utili...As the cornerstone of sterile instrument maintenance in endoscopy centers,the quality of endoscope cleaning directly impacts hospital infection control effectiveness.The traceability system for endoscopy centers utilizes digital means to document the entire cleaning process,enabling real-time monitoring and precise quality control.This paper analyzes current quality control practices in endoscope cleaning and addresses existing challenges.It explores how traceability systems standardize procedures,enhance monitoring,and improve management efficiency.The study proposes optimization strategies for traceability system implementation,clarifying its core value in endoscope cleaning quality control.These findings provide theoretical foundations and practical guidance for hospitals to refine management of endoscopy centers,ensure diagnostic safety,and reduce infection risks,ultimately advancing endoscope cleaning quality control toward standardized and informatized development.展开更多
Acquired Immunodeficiency Syndrome(AIDS)caused by Human Immunodeficiency Virus(HIV)infection poses a serious threat to global public health.This article comprehensively reviews the epidemiological characteristics of H...Acquired Immunodeficiency Syndrome(AIDS)caused by Human Immunodeficiency Virus(HIV)infection poses a serious threat to global public health.This article comprehensively reviews the epidemiological characteristics of HIV infection,including the global and domestic epidemic situation,transmission routes,and characteristics of high-risk groups.It also introduces comprehensive prevention and control strategies in detail.Through analysis,it aims to provide a reference for further optimizing HIV prevention and control work.展开更多
Under the background of increasingly complex global economic development and financial markets,the legal risks faced by enterprises are increasingly intensified.As an important legal norm to adjust financial activitie...Under the background of increasingly complex global economic development and financial markets,the legal risks faced by enterprises are increasingly intensified.As an important legal norm to adjust financial activities,financial law has put forward higher requirements for the operation and risk management of enterprises.Therefore,the article will start from the concept of internal legal risk prevention and control under the financial perspective,study and analyze the common internal legal risks and the causes of risks,and put forward the specific measures of prevention and control of internal legal risks.展开更多
With the rapid development of the medical industry,ensuring patient safety and improving medical quality have led to the development of a very important aspect:hospital infection control.This paper intends to evaluate...With the rapid development of the medical industry,ensuring patient safety and improving medical quality have led to the development of a very important aspect:hospital infection control.This paper intends to evaluate the job competencies of infection prevention and control personnel in Chinese medicine hospitals through an analysis of the necessity of such competencies,the establishment of criteria for evaluation,and the exploration of methods for implementation.This paper proposes an effective evaluation system on the basis of recent research findings and some recommendations for how to improve infection management in these hospitals.This study provides suggestions for the training and management of staff in infection prevention and control through a review of the relevant literature within the context of Chinese medicine hospitals.展开更多
With the development of our country’s social economy,the construction scale of water conservancy project has had an obvious expansion.In the construction of water conservancy projects,certain impacts on the surroundi...With the development of our country’s social economy,the construction scale of water conservancy project has had an obvious expansion.In the construction of water conservancy projects,certain impacts on the surrounding water and soil conditions are inevitable.These impacts may lead to problems such as soil erosion,which can directly affect local production,livelihoods,and the natural ecological environment on which people depend.In severe cases,such issues may even hinder the progress and quality of the water conservancy project itself.Therefore,in the construction of water conservancy projects,soil and water conservation work is extremely important.Based on this,this paper mainly aimed at the prevention and control of water and soil conservation of water conservancy projects launched the relevant analysis and research.展开更多
The outbreak of COVID-19 pneumonia has had a serious impact on the world and has led to a greater awareness of the importance of infectious disease prevention and control.Biology is closely related to life sciences an...The outbreak of COVID-19 pneumonia has had a serious impact on the world and has led to a greater awareness of the importance of infectious disease prevention and control.Biology is closely related to life sciences and is an ideal discipline to penetrate infectious disease education.Conducting infectious disease prevention and control education can help increase students’knowledge of infectious disease prevention and control and prompt them to form good living habits.展开更多
文摘To address uncertainty as well as transient stability constraints simultaneously in the preventive control of windfarm systems, a novel three-stage optimization strategy is established in this paper. In the first stage, the probabilisticmulti-objective particle swarm optimization based on the point estimate method is employed to cope with thestochastic factors. The transient security region of the system is accurately ensured by the interior point methodin the second stage. Finally, the verification of the final optimal objectives and satisfied constraints are enforcedin the last stage. Furthermore, the proposed strategy is a general framework that can combine other optimizationalgorithms. The proposed methodology is tested on the modified WSCC 9-bus system and the New England 39-bussystem. The results verify the feasibility of the method.
文摘This study proposes a new transient-stability preventive control (TSPC) method based on graph convolutional neural networks (GCNN) and transfer deep reinforcement learning (DRL) to address non-convergence problems of traditional optimization algorithms and slow training speed of artificial intelligence algorithms for TSPC. First, a transient stability assessor (TSA) with GCNN is developed to assess current-power-flow state. Sensitivities of the transient-stability index relative to the generators are approximately calculated using TSA;generators with significant influence able to narrow action space are identified. Subsequently, the Markov decision-making process of TSPC is derived by introducing the process of TSPC. A DRL for TSPC is constructed by adding entropy to twin delayed deep deterministic policy gradient (TD3). Knowledge learned by TSA is transferred to DRL based on transfer learning, which improves learning efficiency. Finally, case studies based on the IEEE 39-bus system and an actual power grid prove the effectiveness of the proposed method. Comparisons performed with reference algorithms in literature demonstrate the proposed method has better performance in both control effect and speed.
基金This work was supported in part by the National Natural Science Foundation of China(collaborating with EPSRC of UK)(Nos.51361130152 and EP/L001039/1)the National Science and Technology Support Program of China(No.2013BAA01B03)Research on Reactive Power Control and Comprehensive Evaluation Technique of Large Scale Integration of Wind/Photovoltaic Power Generation(No.NY71-14-035).
文摘With the increasing integration of wind farms and electric vehicles(EVs)in power systems,voltage stability is becoming more and more serious.Based on vehicle-to-grid(V2G),an efficient power plant model of EVs(E-EPP)was developed to estimate EV charging load with available corresponding response capacity under different charging strategies.A preventive control strategy based on E-EPP was proposed to maintain the static voltage stability margin(VSM)of power system above a predefined security level.Two control modes were used including the disconnection of EV charging load(‘V1G’mode)and the discharge of stored battery energy back to power grid(‘V2G’mode).A modified IEEE 14-bus system with high penetration of wind power and EVs was used to verify the effectiveness of preventive control strategy.Simulation results showed that the proposed strategy can not only improve the static voltage stability of power system with considerable wind generation,but also guarantee the travelling comfort for EV owners.
基金supported in part by the National Key Research and Development Program of China under Grant 2020YFB0905900.
文摘This paper proposes a new approach for online power system transient security assessment(TSA)and preventive control based on XGBoost and DC optimal power flow(DCOPF).The novelty of this proposal is that it applies the XGBoost and data selection method based on the 1-norm distance in local feature importance evaluation which can provide a certain model interpretability.The method of SMOTE+ENN is adopted for data rebalancing.The contingency-oriented XGBoost model is trained with databases generated by time domain simulations to represent the transient security constraint in the DCOPF model,which has a relatively fast speed of calculation.The transient security constrained generation rescheduling is implemented with the differential evolution algorithm,which is utilized to optimize the rescheduled generation in the preventive control.Feasibility and effectiveness of the proposed approach are demonstrated on an IEEE 39-bus test system and a 500-bus operational model for South Carolina,USA.
基金This work is supported by National Natural Science Foundation of China Authorized Number:U22B2097。
文摘Preventive transient stability control is an effective measure for the power system to withstand high-probability severe contingencies.It is mathematically an optimal power flow problem with transient stability constraints.Due to the constraints involved for differential algebraic equations of transient stability,it is difficult and time-consuming to solve this problem.To address these issues,this paper presents a novel deep reinforcement learning(DRL)framework for preventive transient stability control of power systems.A distributed deep deterministic policy gradient is utilized to train a DRL agent that can learn its control policy through massive interactions with a grid simulator.Once properly trained,the DRL agent can instantaneously provide effective strategies to adjust the system to a safe operating position with a near-optimal operational cost.The effectiveness of the proposed method is verified through numerical experiments conducted on a New England 39-bus system and NPCC 140-bus system.
基金supported by the Science and Technology Project of State Grid Corporation of China“Cooperative Control and Protection System and Application of Power System with Renewable Energy Sources"(5100-202199530A-0-5-ZN,5211DS21N013).
文摘Enhancing power system resilience against extreme events is becoming increasingly critical. This paper discusses a unified framework for preventive control of power systems to enhance system resilience, which includes three parts: resilience assessment, resilience grading, and resilience enhancement. First, the resilience assessment contains facility-level and system-level resilience assessment. The concept of fragility curve is used in the facility-level resilience assessment. Various resilience indices are developed in system-level resilience assessment to roundly depict the impacts of extreme events on power systems and determine the system resilience. On this basis, the resilience is divided into different levels by resilience grading strategy, which can efficiently quantify the severity of the impact of extreme events and provide decision-making for the resilience enhancement strategies. Then, control strategies for enhancing power system resilience are also divided according to different resilience levels. A controlled islanding based preventive control is proposed to enhance system resilience, which aims to strengthen the first defensive line of power systems to deal with extreme events. Finally, taking the typhoon disaster in extreme events as an example, two tests carried out with two typhoons demonstrate the efficiency of the proposed method.
基金supported by National Key R&D Program of China (No.2018YFB0904500)State Grid Corporation of China (No. SGLNDK00KJJS1800236)。
文摘Accurate transient stability assessment(TSA) and effective preventive control are important for the stable operation of power systems. With the superiorities in precision and efficiency, data-driven methods are widely used in TSA nowadays. Data-driven TSA model can be adopted in the stability constraints of preventive control optimization, but existing methods are mostly iteration-based ones, which may result in low efficiency, sometimes even non-convergence. In this paper,an analytical representation method of data-driven transient stability constraint is proposed based on a non-parametric regression model built for TSA. Key feature extraction and dominant sample selection are proposed to reduce the scale of the TSA model, and bi-level linearization is applied to further modify it.Optimal preventive control model is then formulated as a mixed-integer linear program(MILP) problem with the linearized analytical data-driven transient stability constraint, which can be solved without iterations. An overall procedure of datadriven TSA and preventive control is finally developed. Case studies show that the proposed method has high accuracy in TSA and can achieve effective preventive control of power system with high efficiency.
文摘As a major global public health issue,tuberculosis is closely related to multiple socio-ecological factors in its epidemiological patterns~([1]).China,as a high-burden country for tuberculosis,exhibits regional variations in the distribution of the tuberculosis epidemic.To enhance the efficiency of prevention and control,its strategies are undergoing a transition toward regionally differentiated approaches~([2]).
文摘With the reduction of sequencing costs,optimization of algorithms,and improvement of multi-omics integration capabilities,transcriptomics,as a core technology for analyzing gene expression dynamics and discovering key functional molecules,has shown great potential in the field of disease prevention and control[1,2].The multi-continental transcriptomics study of tick-borne poxvirus not only provides a new perspective for understanding the evolution and transmission of vector-mediated viruses,but also reflects the trend of transcriptomics research and highlights its key role in disease prevention and control[3].
基金Supported by College-level Scientific Research Project of Guizhou Industry Polytechnic College(2023ZK112023ZK10)Scientific and Technological Innovation Team Project of Guizhou Industry Polytechnic College(2023CXTD03).
文摘To further enhance the yield and quality of kiwifruit and promote the sustainable development of the kiwifruit industry,this paper summarized the characteristics,damage sites,and control methods of major kiwifruit diseases and pests.It pointed out the main issues in current kiwifruit pest and disease management and proposed corresponding solutions.The prevention and control of kiwifruit pests should adhere to the principle of"prevention first,integrated management",and standardized planting modes should be implemented.In this process,priority should be given to agricultural,physical,and biological control methods to effectively reduce the use of chemical pesticides.
基金supported by the Science and Technology Planning Project of Guangdong Province(2023A1111120011)the Natural Science Foundation of Guangdong Province(2024A1515010801).
文摘Objective:To investigate the lifestyle and myopia among primary school students in urban areas of Fujian with the context of myopia prevention and control measures,aiming to provide scientific evidence for identifying high-risk myopia population and formulating effective intervention strategies.Methods:A cross-sectional study was conducted from October to November 2023,enrolling 811 fourth-grade students from three primary schools in three cities across Fujian.Personal information and lifestyle-related pattern were collected using customized questionnaire.Participants underwent comprehensive ophthalmic assessments including distance visual acuity tests and refractive examinations.Logistic regression analysis was used to assess the impact of lifestyle on the onset of myopia.Results:The prevalence of myopia among fourth-grade students in urban primary schools in Fujian was 46.4%.Only 25.8%students engaged in outdoor activities for more than 2 hours daily,while63.3%participated in outdoor activities during class breaks.Multivariate Logistic regression analysis revealed that outdoor activities during class breaks(OR=0.646(95%confidence interval(CI):0.473-0.881),P=0.006)and daily time spent outdoors(2-3 hours,OR=0.682(95%CI:0.466-0.993),P=0.047;more than 3 hours,OR=0.403(95%CI:0.192-0.796),P=0.01)were independent protective factors against myopia.Lifestyle significantly enhanced the predictive performance for myopia(P=0.01).Additionally,parental myopia(one parent with myopia,OR=2.247(95%CI:1.612-3.145),P<0.001;both parents with myopia,OR=4.824(95%CI:3.262-7.204),P<0.001)emerged as a key risk factor for myopia.Conclusions:There is considerable scope for improving the lifestyle of primary school students in urban areas of Fujian.Lifestyle is strongly associated with myopia onset,highlighting the need for schools and families to actively encourage students to engage in more outdoor activities and take breaks outdoors to prevent and control myopia.Students with parents,especially both parents,having myopia should be considered as a key target group for myopia prevention efforts.
文摘This paper focuses on the key role and practical paths of operating room nurses in infection control,and studies the difficult problems in the prevention and control of surgical site infections.Analyze the infection risk links in the operating room and the core responsibilities of nurses,reveal the multiple role mechanisms of nurses in infection control,design practical strategies from dimensions such as process optimization,skill improvement,and monitoring feedback,and construct an infection control system involving all staff.Research shows that operating room nurses can effectively reduce the risk of infection,improve medical quality,provide core guarantees for patient safety,and promote the transformation of operating room infection control towards refined management through practical actions such as standardized operation execution,real-time risk monitoring,and team collaboration supervision.
基金financially supported by the National Key Research and Development Program(No.2018YFC1505402)the National Natural Science Foundation of China(No.41871174)+1 种基金the Science and Technology Department of Sichuan Province(No.2020YFSY0013)the Fundamental Research Funds for the Central Universities Project(No.2682019CX19)。
文摘Benefit evaluation of debris flow prevention and control projects was one of the essential contents of debris flow prevention and mitigation work.In order to scientifically and quantitatively evaluate the comprehensive benefit of debris flow prevention and control projects,this study identified nine factors as evaluation indicators from economic,social,and ecological aspects.The projection pursuit(PP) model based on the improved particle swarm optimization(IPSO) algorithm was used to construct a mathematical model to evaluate the benefit of debris flow prevention and control projects.The interpolation method was applied to divide the benefit grades.The debris flow prevention and control projects in Qipan,Taoguan,Chutou,Anjia,and Mozi gullies in Wenchuan County were chosen as typical cases for empirical analysis.The case study revealed that,among the criteria layer indicators,investment per unit of the protected area,investment per unit of the protected population,the amount of water and soil conservation,and reduction rate of accumulation fan had the most significant weights.The social and ecological benefits were found to be the more important in the target layer.The comprehensive benefit of Qipan,Taoguan,Chutou,Anjia,and Mozi gullies was found to be 4.44,4.83,1.95,3,and 2,respectively.The benefit ranking of the five gullies was consistent with their effectiveness in disaster prevention ranking in the flood season of 2019.Therefore,it could prove that the newly-built benefit evaluation model was practical and feasible,and the evaluation results of the sample could be reasonably interpreted,which verified the effectiveness of the methods.
基金supported by the National Natural Science Foundation of China(No.U23A2045)the China Three Gorges Corporation(YM(BHT)/(22)022).
文摘Economically and effectively managing the risk of landslide-generated impulse waves(LGIWs)presents a significant challenge following the impoundment of newly constructed reservoirs in western China.To address this issue,we selected the Wangjiashan(WJS)landslide in the Baihetan Reservoir area as a case study to evaluate LGIW hazards and develop corresponding mitigation strategies.Using 2D physical model tests and 3D numerical simulations,we established a 3D hazard assessment method for LGIWs based on 2D experimental results.This method confirmed the effectiveness of slope-cutting engineering in mitigating LGIW hazards.Based on this assessment framework,we proposed a novel approach for LGIW risk reduction.The results showed that the maximum wave amplitude reached 19.64 m in the Jinsha River channel,and the maximum run-up was 11.5 m in the XiangBiLing(XBL)community,indicating a substantial LGIW threat to the area.By reducing the rear edge of the sliding mass to 920 m above sea level(asl),the LGIW risk to the XBL community could be lowered to a tolerable level.Compared with traditional landslide prevention and control measures,the proposed mitigation scheme can reduce excavation costs by approximately 37 million CNY,making it a more scientifically sound and economically feasible solution.We explored the concept and the implementation of LGIW risk mitigation in depth,offering new insights for global LGIW risk management.This case study enhances our understanding of LGIW hazard prevention and provides valuable guidance for policymaking and engineering practices in similar geological settings worldwide.
文摘As the cornerstone of sterile instrument maintenance in endoscopy centers,the quality of endoscope cleaning directly impacts hospital infection control effectiveness.The traceability system for endoscopy centers utilizes digital means to document the entire cleaning process,enabling real-time monitoring and precise quality control.This paper analyzes current quality control practices in endoscope cleaning and addresses existing challenges.It explores how traceability systems standardize procedures,enhance monitoring,and improve management efficiency.The study proposes optimization strategies for traceability system implementation,clarifying its core value in endoscope cleaning quality control.These findings provide theoretical foundations and practical guidance for hospitals to refine management of endoscopy centers,ensure diagnostic safety,and reduce infection risks,ultimately advancing endoscope cleaning quality control toward standardized and informatized development.
文摘Acquired Immunodeficiency Syndrome(AIDS)caused by Human Immunodeficiency Virus(HIV)infection poses a serious threat to global public health.This article comprehensively reviews the epidemiological characteristics of HIV infection,including the global and domestic epidemic situation,transmission routes,and characteristics of high-risk groups.It also introduces comprehensive prevention and control strategies in detail.Through analysis,it aims to provide a reference for further optimizing HIV prevention and control work.
文摘Under the background of increasingly complex global economic development and financial markets,the legal risks faced by enterprises are increasingly intensified.As an important legal norm to adjust financial activities,financial law has put forward higher requirements for the operation and risk management of enterprises.Therefore,the article will start from the concept of internal legal risk prevention and control under the financial perspective,study and analyze the common internal legal risks and the causes of risks,and put forward the specific measures of prevention and control of internal legal risks.
基金supported by Weifang Science and Technology Development Plan Project(Soft Science,2022RKX054)Shenzhen Elite Talent Project(JY2024-2).
文摘With the rapid development of the medical industry,ensuring patient safety and improving medical quality have led to the development of a very important aspect:hospital infection control.This paper intends to evaluate the job competencies of infection prevention and control personnel in Chinese medicine hospitals through an analysis of the necessity of such competencies,the establishment of criteria for evaluation,and the exploration of methods for implementation.This paper proposes an effective evaluation system on the basis of recent research findings and some recommendations for how to improve infection management in these hospitals.This study provides suggestions for the training and management of staff in infection prevention and control through a review of the relevant literature within the context of Chinese medicine hospitals.
文摘With the development of our country’s social economy,the construction scale of water conservancy project has had an obvious expansion.In the construction of water conservancy projects,certain impacts on the surrounding water and soil conditions are inevitable.These impacts may lead to problems such as soil erosion,which can directly affect local production,livelihoods,and the natural ecological environment on which people depend.In severe cases,such issues may even hinder the progress and quality of the water conservancy project itself.Therefore,in the construction of water conservancy projects,soil and water conservation work is extremely important.Based on this,this paper mainly aimed at the prevention and control of water and soil conservation of water conservancy projects launched the relevant analysis and research.
基金Anqing Normal University School-Level Teaching and Research Project(2022aqnujyxm32)Anqing Normal University Provincial Graduate Online CourseAnhui Province Graduate Student Online Course on Animal Ecology。
文摘The outbreak of COVID-19 pneumonia has had a serious impact on the world and has led to a greater awareness of the importance of infectious disease prevention and control.Biology is closely related to life sciences and is an ideal discipline to penetrate infectious disease education.Conducting infectious disease prevention and control education can help increase students’knowledge of infectious disease prevention and control and prompt them to form good living habits.
