Emergency medical services (EMS) are a vital element of the public healthcare system in China,^([1])providing an opportunity to respond to critical medical conditions and save people’s lives.^([2])The accessibility o...Emergency medical services (EMS) are a vital element of the public healthcare system in China,^([1])providing an opportunity to respond to critical medical conditions and save people’s lives.^([2])The accessibility of EMS has received considerable attention in health and transport geography studies.^([3])One of the optimal gauges for evaluating the accessibility of EMS is the response time,which is defined as the time from receiving an emergency call to the arrival of an ambulance.^([4])Beijing has already reduced the response time to approximately12 min,and the next goal is to ensure that the response time across Beijing does not exceed 12 min (the information comes from the Beijing Emergency Medical Center).展开更多
Objective:To analyze the clinical application and effects of the body restraint reduction program for severe neurological patients.Methods:A total of 206 patients admitted to the neurology department of the hospital f...Objective:To analyze the clinical application and effects of the body restraint reduction program for severe neurological patients.Methods:A total of 206 patients admitted to the neurology department of the hospital from January 2022 to May 2025 were selected as the research subjects.Among them,102 patients from January 2022 to May 2025 were assigned to the observation group,and 104 patients during the same period served as the control group.In practice,the control group received conventional body restraint,while the observation group adopted the reduction program.The incidence of unplanned extubation and restraint-related complications were compared between the two groups.Results:The body restraint rate and complication rate in the observation group were significantly lower(P<0.05).After nurse training,their knowledge mastery and operational ability were significantly higher than before training(P<0.01).Conclusion:The body restraint reduction program for severe neurological patients can effectively reduce the restraint rate and complication incidence,while helping improve nurses’restraint management capabilities,serving as an effective means to enhance overall nursing quality.展开更多
The purpose of this study is to investigate the effectiveness of the“expiration manager”mini program in managing the validity of ward items.The program was used to manage frequently and infrequently used consumables...The purpose of this study is to investigate the effectiveness of the“expiration manager”mini program in managing the validity of ward items.The program was used to manage frequently and infrequently used consumables by setting up an automatic reminder function.The item failure rate and the time required for nurses to conduct counts over 6 months before and after implementation were compared,as well as evaluated system availability using the System Usability scale(SUS).Results showed that after implementing the mini program,both the item failure rate and non-recognition rate significantly decreased(P<0.05),while the inspection pass rate significantly increased(P<0.05),and the monthly inventory time was reduced(P<0.05).The SUS evaluation yielded a total score of 74.38±11.73,with learnability at 80.21±20.27 and availability at 72.92±11.18,all indicating good user acceptance.In conclusion,the“expiration manager”mini program can effectively improve the efficiency of item expiration management,reduce the risk of expiration,and save inspection time,thereby demonstrating high user acceptance and promising potential for wider adoption.展开更多
The study believes teaching is a communication and exchange process between teachers and students,and the quality of teaching depends on communication qualities,especially whether theories,ideas,and methods are accura...The study believes teaching is a communication and exchange process between teachers and students,and the quality of teaching depends on communication qualities,especially whether theories,ideas,and methods are accurately transmitted from teachers to students.In programming course teaching,there are losses of the original meaning of the English textbook after being translated into Chinese.In order to avoid the loss of original meaning,the study uses original English textbook for the software programming teaching.In the language choice for specific documentation and programming descriptions,the study emphasizes the choice of the inventor’s language.Based on practice,the study summarized the principle of the Language Oriented Approach of Teaching Programming Skills,and outlined the main points and structure of this approach,concluding the prerequisites for its use.Also,the categories of Language Oriented Approach are mentioned.The study shed light on attributing the use of AI,such as the emerging ChatGPT applications,to the Language Oriented Approach.展开更多
Objective:To explore the construction and application effect of a postoperative nursing intervention program for osteoporotic vertebral compression fractures.Methods:A total of 68 cases of osteoporotic vertebral compr...Objective:To explore the construction and application effect of a postoperative nursing intervention program for osteoporotic vertebral compression fractures.Methods:A total of 68 cases of osteoporotic vertebral compression fractures treated with vertebroplasty in our hospital from March 2023 to April 2024 were selected and randomly divided into the control group and the constructed program group,with 34 cases in each group.The control group received routine postoperative nursing after vertebroplasty,while the constructed program group was provided with a targeted postoperative nursing intervention program based on the control group,which was implemented postoperatively.The postoperative outcomes and thoracolumbar dysfunction of the two groups were compared.Results:The total postoperative efficacy rate in the constructed program group(97.06%,33/34)was significantly higher than that in the control group(76.47%,26/34)(P<0.05).The thoracolumbar dysfunction score in the constructed program group(15.02±1.36)was significantly lower than that in the control group(22.56±2.41)(P<0.05).Conclusion:Constructing a targeted nursing intervention program based on the postoperative nursing requirements for osteoporotic vertebral compression fractures and individual patient characteristics can effectively improve thoracolumbar dysfunction and enhance the postoperative surgical outcome.The clinical application of this program is reliable.展开更多
To better understand the challenges faced by public hospitals in implementing charitable medical assistance,this study examines Nanjing R Hospital as a case study.By combining literature review and field research,the ...To better understand the challenges faced by public hospitals in implementing charitable medical assistance,this study examines Nanjing R Hospital as a case study.By combining literature review and field research,the current status and fundamental methods of charitable medical assistance at R Hospital are systematically analyzed.The findings indicate that medical social workers play a multifaceted role in the hospital’s charitable assistance efforts.They contribute significantly to building assistance networks and addressing patients’multi-dimensional needs.However,challenges persist in the assistance process,including both external and internal obstacles.This study explores ways to overcome these barriers to enhance the efficient utilization of healthcare resources.Through empirical investigation,the study identifies the types of charitable aid resources available and highlights the practical difficulties in their application within public hospitals.These findings provide a valuable reference for optimizing resource allocation,improving the effectiveness of assistance programs,and fostering institutional collaboration.展开更多
Based on former studies on weather simulator modules in IPMist laboratory, study on visual programming of stochastic weather generator(VS-WGEN)was continued. In this study, Markov Chain, Monte Carlo, Fourier Series, a...Based on former studies on weather simulator modules in IPMist laboratory, study on visual programming of stochastic weather generator(VS-WGEN)was continued. In this study, Markov Chain, Monte Carlo, Fourier Series, and weak stationary process were used to generate the daily weather data in software Matlab 6. 0, with the data input from 40 years' weather data recorded by Beijing Weather Station. The generated data includes daily maximum temperature, minimum temperature, precipitation and solar radiation. It has been verified that the weather data generated by the VS-WGEN were more accurate than that by the old WGEN, when twenty new model parameters were included. VS-WGEN has wide software applications, such as pest risk analysis, pest forecast and management. It can be implemented in hardware development as well, such as weather control in weather chamber and greenhouse for researches on ecological adaptation of crop varieties to a given location over time and space. Overall, VS-WGEN is a very useful tool for studies on theoretical and applied ecology.展开更多
In a crumbling tech hub near the marginal coastline,young Angolan developers,despite the challenges of unreliable Internet and dependence on foreign APIs(application programming interfaces),are tapping on donated lapt...In a crumbling tech hub near the marginal coastline,young Angolan developers,despite the challenges of unreliable Internet and dependence on foreign APIs(application programming interfaces),are tapping on donated laptops,debugging health apps that alert rural clinics of disease outbreaks.Their resilience and determination in the face of such obstacles are not just a source of innovation,but also of inspiration and hope.展开更多
Ransomware,particularly crypto-ransomware,remains a significant cybersecurity challenge,encrypting victim data and demanding a ransom,often leaving the data irretrievable even if payment is made.This study proposes an...Ransomware,particularly crypto-ransomware,remains a significant cybersecurity challenge,encrypting victim data and demanding a ransom,often leaving the data irretrievable even if payment is made.This study proposes an early detection approach to mitigate such threats by identifying ransomware activity before the encryption process begins.The approach employs a two-tiered approach:a signature-based method using hashing techniques to match known threats and a dynamic behavior-based analysis leveraging Cuckoo Sandbox and machine learning algorithms.A critical feature is the integration of the most effective Application Programming Interface call monitoring,which analyzes system-level interactions such as file encryption,key generation,and registry modifications.This enables the detection of both known and zero-day ransomware variants,overcoming limitations of traditional methods.The proposed technique was evaluated using classifiers such as Random Forest,Support Vector Machine,and K-Nearest Neighbors,achieving a detection accuracy of 98%based on 26 key ransomware attributes with an 80:20 training-to-testing ratio and 10-fold cross-validation.By combining minimal feature sets with robust behavioral analysis,the proposed method outperforms existing solutions and addresses current challenges in ransomware detection,thereby enhancing cybersecurity resilience.展开更多
Founded in 1993,Zhejiang Rifa Textile Machinery Co.,Ltd.is a national key high-tech enterprise,a leading enterprise in China’s machinery industry,a CIMS engineering demonstration enterprise under the 863 Program,a na...Founded in 1993,Zhejiang Rifa Textile Machinery Co.,Ltd.is a national key high-tech enterprise,a leading enterprise in China’s machinery industry,a CIMS engineering demonstration enterprise under the 863 Program,a national CAD application engineering demonstration enterprise,a hightech enterprise of the National Torch Plan,and a vice president unit of the China Textile Machinery Association.It currently runs three subsidiaries,namely,Shandong Rifa Textile Machinery Co.,Ltd.,Anhui Rifa Textile Machinery Co.,Ltd.and Zhejiang Rifa Textile Machinery Tech Co.,Ltd.展开更多
Approximate dynamic programming (ADP) is a general and effective approach for solving optimal control and estimation problems by adapting to uncertain and nonconvex environments over time.
The evolution of technology in 1990s resulted in the enormous growth of smartphones and the propagation of mobile applications (App) that marked new opportunities for healthcare centers and medical education. Apps hav...The evolution of technology in 1990s resulted in the enormous growth of smartphones and the propagation of mobile applications (App) that marked new opportunities for healthcare centers and medical education. Apps have altered health services from patient’s health monitoring to specialist’s appointments and consultations from specialized health facilities. It can be argued that a healthy society can bring forth sustainable economic development to its full potential while an unhealthy society cannot. However, a free movement of people, labour and right to residence which was built across East Africa (EA) borders enabled Tanzania and Kenya borders to have enormous interactions. Subsequently, increase the risk of highly communicable diseases such as Tuberculosis and Sexually transmitted infections in such a way that medical attention is unavoidable along the borders. Statistically, Android Operating System (OS) owns 83% of Africa’s mobile OS market. In addition, 25,794,560 internet users reported by Tanzania Communications Regulatory Authority (TCRA) together with the 22.86 million internet users provided by Kenya Digital which is equivalent to 46% and 43% of internet penetration in year 2020, disclose the need for Android mobile application for mapping health facilities both online and offline using Google map API, which will solve residents’ need to healthcare services on the presence or shortage of internet connections;using either Swahili or English language via Smartphone devices. The App incorporates Monitoring and Evaluation (M & E) tool for tracking application usage which will ease Admin’s task to generate daily and monthly reports in Excel and Comma-Separated Values (CSV) formats. The developed system received positive feedback from EA citizens and residents in the Arusha region and Namanga border crossing where 90.2% of the system evaluation conducted between Dec 2020 and Apr 2021 agreed upon App usage.展开更多
Built Environment and Energy Application Engineering(BEEAE),namely Heating,Ventilating,Air Conditioning and Refrigerating(HVAC&R),is one of the international accreditation programs.Its knowledge system of professi...Built Environment and Energy Application Engineering(BEEAE),namely Heating,Ventilating,Air Conditioning and Refrigerating(HVAC&R),is one of the international accreditation programs.Its knowledge system of professional theory and professional education in accredited engineering academic programs must meet the requirements of the relevant international engineering certification.In view of professional engineers and technicians training of BEEAE,the professional training programs and the knowledge system are compared and explored in line with the international certification criteria.This study compares the items and requirements of different international certification criteria,and summarizes the experienced methods of education training.The undergraduate education and training programs are then improved in accordance with the requirements from international certification criteria.The BEEAE education training schemes should combine the knowledge system of the national professional guidance standards with the items from international certification criteria.展开更多
This article describes the application of the PIMS software in formulating monthly refining production plan. Application of the PIMS software can help to solve a series of problems related with monthly plan of refinin...This article describes the application of the PIMS software in formulating monthly refining production plan. Application of the PIMS software can help to solve a series of problems related with monthly plan of refining production such as optimized selection of crude and feedstocks, optimized selection of production scale and processing scheme, identification of bottlenecks and their mitigation,optimized selection of turnaround time and optimized selection of operating regime, which have increased the economic benefits of refining enterprises. With the further development and improvement of models the PIMS software will play an increasingly important role in formulating monthly plans of refining operations and production management at refineries. This article also explores the problems existing in refinery monthly planning, and has made recommendations on developing and improving models and reporting system, enhancement of basic data acquisition, model maintenance personnel and staff training.展开更多
In this paper our studies about the sequential testing program for predicting and identificating carcinogens, sequential discriminant method and cost- effectiveness analysis are summarized. The analysis of our databas...In this paper our studies about the sequential testing program for predicting and identificating carcinogens, sequential discriminant method and cost- effectiveness analysis are summarized. The analysis of our database of carcinogeniclty and genotoxicity of chemicals demonstrates the uncertainty . of short- term tests ( STTs ) to predict carcinogens and the results of most routine STTs are statistically dependent. We recommend the sequential testing program combining STTs and carclnogenicity assay, the optimal STT batteries, the rules of the sequential discrimination and the preferal choices of STTs tor specific chemical class. For illustrative pmposes the carclnogenicity prediction of several sample chamicals is presented. The results of cost-effectiveness analysis suggest that this program has vast social-economic effectiveness.展开更多
This article explains how two AI systems have been incorporated into the everyday operations of two Singapore public healthcare nation‐wide screening programs.The first example is embedded within the setting of a nat...This article explains how two AI systems have been incorporated into the everyday operations of two Singapore public healthcare nation‐wide screening programs.The first example is embedded within the setting of a national level population health screening program for diabetes related eye diseases,targeting the rapidly increasing number of adults in the country with diabetes.In the second example,the AI assisted screening is done shortly after a person is admitted to one of the public hospitals to identify which inpatients—especially which elderly patients with complex conditions—have a high risk of being readmitted as an inpatient multiple times in the months following discharge.Ways in which healthcare needs and the clinical operations context influenced the approach to designing or deploying the AI systems are highlighted,illustrating the multiplicity of factors that shape the requirements for successful large‐scale deployments of AI systems that are deeply embedded within clinical workflows.In the first example,the choice was made to use the system in a semi‐automated(vs.fully automated)mode as this was assessed to be more cost‐effective,though still offering substantial productivity improvement.In the second example,machine learning algorithm design and model execution trade-offs were made that prioritized key aspects of patient engagement and inclusion over higher levels of predictive accuracy.The article concludes with several lessons learned related to deploying AI systems within healthcare settings,and also lists several other AI efforts already in deployment and in the pipeline for Singapore's public healthcare system.展开更多
基金supported by National Key Research & Development Program of China (2022YFC3006201)。
文摘Emergency medical services (EMS) are a vital element of the public healthcare system in China,^([1])providing an opportunity to respond to critical medical conditions and save people’s lives.^([2])The accessibility of EMS has received considerable attention in health and transport geography studies.^([3])One of the optimal gauges for evaluating the accessibility of EMS is the response time,which is defined as the time from receiving an emergency call to the arrival of an ambulance.^([4])Beijing has already reduced the response time to approximately12 min,and the next goal is to ensure that the response time across Beijing does not exceed 12 min (the information comes from the Beijing Emergency Medical Center).
文摘Objective:To analyze the clinical application and effects of the body restraint reduction program for severe neurological patients.Methods:A total of 206 patients admitted to the neurology department of the hospital from January 2022 to May 2025 were selected as the research subjects.Among them,102 patients from January 2022 to May 2025 were assigned to the observation group,and 104 patients during the same period served as the control group.In practice,the control group received conventional body restraint,while the observation group adopted the reduction program.The incidence of unplanned extubation and restraint-related complications were compared between the two groups.Results:The body restraint rate and complication rate in the observation group were significantly lower(P<0.05).After nurse training,their knowledge mastery and operational ability were significantly higher than before training(P<0.01).Conclusion:The body restraint reduction program for severe neurological patients can effectively reduce the restraint rate and complication incidence,while helping improve nurses’restraint management capabilities,serving as an effective means to enhance overall nursing quality.
基金The First Affiliated Hospital of Shaoyang University,China(Project No.:23FY1015)。
文摘The purpose of this study is to investigate the effectiveness of the“expiration manager”mini program in managing the validity of ward items.The program was used to manage frequently and infrequently used consumables by setting up an automatic reminder function.The item failure rate and the time required for nurses to conduct counts over 6 months before and after implementation were compared,as well as evaluated system availability using the System Usability scale(SUS).Results showed that after implementing the mini program,both the item failure rate and non-recognition rate significantly decreased(P<0.05),while the inspection pass rate significantly increased(P<0.05),and the monthly inventory time was reduced(P<0.05).The SUS evaluation yielded a total score of 74.38±11.73,with learnability at 80.21±20.27 and availability at 72.92±11.18,all indicating good user acceptance.In conclusion,the“expiration manager”mini program can effectively improve the efficiency of item expiration management,reduce the risk of expiration,and save inspection time,thereby demonstrating high user acceptance and promising potential for wider adoption.
文摘The study believes teaching is a communication and exchange process between teachers and students,and the quality of teaching depends on communication qualities,especially whether theories,ideas,and methods are accurately transmitted from teachers to students.In programming course teaching,there are losses of the original meaning of the English textbook after being translated into Chinese.In order to avoid the loss of original meaning,the study uses original English textbook for the software programming teaching.In the language choice for specific documentation and programming descriptions,the study emphasizes the choice of the inventor’s language.Based on practice,the study summarized the principle of the Language Oriented Approach of Teaching Programming Skills,and outlined the main points and structure of this approach,concluding the prerequisites for its use.Also,the categories of Language Oriented Approach are mentioned.The study shed light on attributing the use of AI,such as the emerging ChatGPT applications,to the Language Oriented Approach.
文摘Objective:To explore the construction and application effect of a postoperative nursing intervention program for osteoporotic vertebral compression fractures.Methods:A total of 68 cases of osteoporotic vertebral compression fractures treated with vertebroplasty in our hospital from March 2023 to April 2024 were selected and randomly divided into the control group and the constructed program group,with 34 cases in each group.The control group received routine postoperative nursing after vertebroplasty,while the constructed program group was provided with a targeted postoperative nursing intervention program based on the control group,which was implemented postoperatively.The postoperative outcomes and thoracolumbar dysfunction of the two groups were compared.Results:The total postoperative efficacy rate in the constructed program group(97.06%,33/34)was significantly higher than that in the control group(76.47%,26/34)(P<0.05).The thoracolumbar dysfunction score in the constructed program group(15.02±1.36)was significantly lower than that in the control group(22.56±2.41)(P<0.05).Conclusion:Constructing a targeted nursing intervention program based on the postoperative nursing requirements for osteoporotic vertebral compression fractures and individual patient characteristics can effectively improve thoracolumbar dysfunction and enhance the postoperative surgical outcome.The clinical application of this program is reliable.
文摘To better understand the challenges faced by public hospitals in implementing charitable medical assistance,this study examines Nanjing R Hospital as a case study.By combining literature review and field research,the current status and fundamental methods of charitable medical assistance at R Hospital are systematically analyzed.The findings indicate that medical social workers play a multifaceted role in the hospital’s charitable assistance efforts.They contribute significantly to building assistance networks and addressing patients’multi-dimensional needs.However,challenges persist in the assistance process,including both external and internal obstacles.This study explores ways to overcome these barriers to enhance the efficient utilization of healthcare resources.Through empirical investigation,the study identifies the types of charitable aid resources available and highlights the practical difficulties in their application within public hospitals.These findings provide a valuable reference for optimizing resource allocation,improving the effectiveness of assistance programs,and fostering institutional collaboration.
基金supported jointly by the grant of Project“973”:Fundamental Studies on Invasion and Control of Extra Pest(2002CB111400)the grant of Key Project of Ministry of Science and Technology of China:Development of New Technologies for Pest Forecasting(2001BA50PB01).
文摘Based on former studies on weather simulator modules in IPMist laboratory, study on visual programming of stochastic weather generator(VS-WGEN)was continued. In this study, Markov Chain, Monte Carlo, Fourier Series, and weak stationary process were used to generate the daily weather data in software Matlab 6. 0, with the data input from 40 years' weather data recorded by Beijing Weather Station. The generated data includes daily maximum temperature, minimum temperature, precipitation and solar radiation. It has been verified that the weather data generated by the VS-WGEN were more accurate than that by the old WGEN, when twenty new model parameters were included. VS-WGEN has wide software applications, such as pest risk analysis, pest forecast and management. It can be implemented in hardware development as well, such as weather control in weather chamber and greenhouse for researches on ecological adaptation of crop varieties to a given location over time and space. Overall, VS-WGEN is a very useful tool for studies on theoretical and applied ecology.
文摘In a crumbling tech hub near the marginal coastline,young Angolan developers,despite the challenges of unreliable Internet and dependence on foreign APIs(application programming interfaces),are tapping on donated laptops,debugging health apps that alert rural clinics of disease outbreaks.Their resilience and determination in the face of such obstacles are not just a source of innovation,but also of inspiration and hope.
基金funded by the National University of Sciences and Technology(NUST)supported by the Basic Science Research Program through the National Research Foundation of Korea(NRF),funded by the Ministry of Education(2021R1IIA3049788).
文摘Ransomware,particularly crypto-ransomware,remains a significant cybersecurity challenge,encrypting victim data and demanding a ransom,often leaving the data irretrievable even if payment is made.This study proposes an early detection approach to mitigate such threats by identifying ransomware activity before the encryption process begins.The approach employs a two-tiered approach:a signature-based method using hashing techniques to match known threats and a dynamic behavior-based analysis leveraging Cuckoo Sandbox and machine learning algorithms.A critical feature is the integration of the most effective Application Programming Interface call monitoring,which analyzes system-level interactions such as file encryption,key generation,and registry modifications.This enables the detection of both known and zero-day ransomware variants,overcoming limitations of traditional methods.The proposed technique was evaluated using classifiers such as Random Forest,Support Vector Machine,and K-Nearest Neighbors,achieving a detection accuracy of 98%based on 26 key ransomware attributes with an 80:20 training-to-testing ratio and 10-fold cross-validation.By combining minimal feature sets with robust behavioral analysis,the proposed method outperforms existing solutions and addresses current challenges in ransomware detection,thereby enhancing cybersecurity resilience.
文摘Founded in 1993,Zhejiang Rifa Textile Machinery Co.,Ltd.is a national key high-tech enterprise,a leading enterprise in China’s machinery industry,a CIMS engineering demonstration enterprise under the 863 Program,a national CAD application engineering demonstration enterprise,a hightech enterprise of the National Torch Plan,and a vice president unit of the China Textile Machinery Association.It currently runs three subsidiaries,namely,Shandong Rifa Textile Machinery Co.,Ltd.,Anhui Rifa Textile Machinery Co.,Ltd.and Zhejiang Rifa Textile Machinery Tech Co.,Ltd.
文摘Approximate dynamic programming (ADP) is a general and effective approach for solving optimal control and estimation problems by adapting to uncertain and nonconvex environments over time.
文摘The evolution of technology in 1990s resulted in the enormous growth of smartphones and the propagation of mobile applications (App) that marked new opportunities for healthcare centers and medical education. Apps have altered health services from patient’s health monitoring to specialist’s appointments and consultations from specialized health facilities. It can be argued that a healthy society can bring forth sustainable economic development to its full potential while an unhealthy society cannot. However, a free movement of people, labour and right to residence which was built across East Africa (EA) borders enabled Tanzania and Kenya borders to have enormous interactions. Subsequently, increase the risk of highly communicable diseases such as Tuberculosis and Sexually transmitted infections in such a way that medical attention is unavoidable along the borders. Statistically, Android Operating System (OS) owns 83% of Africa’s mobile OS market. In addition, 25,794,560 internet users reported by Tanzania Communications Regulatory Authority (TCRA) together with the 22.86 million internet users provided by Kenya Digital which is equivalent to 46% and 43% of internet penetration in year 2020, disclose the need for Android mobile application for mapping health facilities both online and offline using Google map API, which will solve residents’ need to healthcare services on the presence or shortage of internet connections;using either Swahili or English language via Smartphone devices. The App incorporates Monitoring and Evaluation (M & E) tool for tracking application usage which will ease Admin’s task to generate daily and monthly reports in Excel and Comma-Separated Values (CSV) formats. The developed system received positive feedback from EA citizens and residents in the Arusha region and Namanga border crossing where 90.2% of the system evaluation conducted between Dec 2020 and Apr 2021 agreed upon App usage.
基金“2017 Light of Textiles” China Textile Industry Federation Higher Education Teaching Reform,China(No.2017BKJGLX201)
文摘Built Environment and Energy Application Engineering(BEEAE),namely Heating,Ventilating,Air Conditioning and Refrigerating(HVAC&R),is one of the international accreditation programs.Its knowledge system of professional theory and professional education in accredited engineering academic programs must meet the requirements of the relevant international engineering certification.In view of professional engineers and technicians training of BEEAE,the professional training programs and the knowledge system are compared and explored in line with the international certification criteria.This study compares the items and requirements of different international certification criteria,and summarizes the experienced methods of education training.The undergraduate education and training programs are then improved in accordance with the requirements from international certification criteria.The BEEAE education training schemes should combine the knowledge system of the national professional guidance standards with the items from international certification criteria.
文摘This article describes the application of the PIMS software in formulating monthly refining production plan. Application of the PIMS software can help to solve a series of problems related with monthly plan of refining production such as optimized selection of crude and feedstocks, optimized selection of production scale and processing scheme, identification of bottlenecks and their mitigation,optimized selection of turnaround time and optimized selection of operating regime, which have increased the economic benefits of refining enterprises. With the further development and improvement of models the PIMS software will play an increasingly important role in formulating monthly plans of refining operations and production management at refineries. This article also explores the problems existing in refinery monthly planning, and has made recommendations on developing and improving models and reporting system, enhancement of basic data acquisition, model maintenance personnel and staff training.
文摘In this paper our studies about the sequential testing program for predicting and identificating carcinogens, sequential discriminant method and cost- effectiveness analysis are summarized. The analysis of our database of carcinogeniclty and genotoxicity of chemicals demonstrates the uncertainty . of short- term tests ( STTs ) to predict carcinogens and the results of most routine STTs are statistically dependent. We recommend the sequential testing program combining STTs and carclnogenicity assay, the optimal STT batteries, the rules of the sequential discrimination and the preferal choices of STTs tor specific chemical class. For illustrative pmposes the carclnogenicity prediction of several sample chamicals is presented. The results of cost-effectiveness analysis suggest that this program has vast social-economic effectiveness.
文摘This article explains how two AI systems have been incorporated into the everyday operations of two Singapore public healthcare nation‐wide screening programs.The first example is embedded within the setting of a national level population health screening program for diabetes related eye diseases,targeting the rapidly increasing number of adults in the country with diabetes.In the second example,the AI assisted screening is done shortly after a person is admitted to one of the public hospitals to identify which inpatients—especially which elderly patients with complex conditions—have a high risk of being readmitted as an inpatient multiple times in the months following discharge.Ways in which healthcare needs and the clinical operations context influenced the approach to designing or deploying the AI systems are highlighted,illustrating the multiplicity of factors that shape the requirements for successful large‐scale deployments of AI systems that are deeply embedded within clinical workflows.In the first example,the choice was made to use the system in a semi‐automated(vs.fully automated)mode as this was assessed to be more cost‐effective,though still offering substantial productivity improvement.In the second example,machine learning algorithm design and model execution trade-offs were made that prioritized key aspects of patient engagement and inclusion over higher levels of predictive accuracy.The article concludes with several lessons learned related to deploying AI systems within healthcare settings,and also lists several other AI efforts already in deployment and in the pipeline for Singapore's public healthcare system.
