As cloud computing usage grows,cloud data centers play an increasingly important role.To maximize resource utilization,ensure service quality,and enhance system performance,it is crucial to allocate tasks and manage p...As cloud computing usage grows,cloud data centers play an increasingly important role.To maximize resource utilization,ensure service quality,and enhance system performance,it is crucial to allocate tasks and manage performance effectively.The purpose of this study is to provide an extensive analysis of task allocation and performance management techniques employed in cloud data centers.The aim is to systematically categorize and organize previous research by identifying the cloud computing methodologies,categories,and gaps.A literature review was conducted,which included the analysis of 463 task allocations and 480 performance management papers.The review revealed three task allocation research topics and seven performance management methods.Task allocation research areas are resource allocation,load-Balancing,and scheduling.Performance management includes monitoring and control,power and energy management,resource utilization optimization,quality of service management,fault management,virtual machine management,and network management.The study proposes new techniques to enhance cloud computing work allocation and performance management.Short-comings in each approach can guide future research.The research’s findings on cloud data center task allocation and performance management can assist academics,practitioners,and cloud service providers in optimizing their systems for dependability,cost-effectiveness,and scalability.Innovative methodologies can steer future research to fill gaps in the literature.展开更多
Performance Management is the core course of human resource management major,but its knowledge points lack multi-dimensional correlations.There are problems such as scattered content and unclear system,and it is urgen...Performance Management is the core course of human resource management major,but its knowledge points lack multi-dimensional correlations.There are problems such as scattered content and unclear system,and it is urgent to reconstruct the content system of the course.Knowledge graph technology can integrate massive and scattered information into an organic structure through semantic correlation and reasoning.The application of knowledge graph to education and teaching can promote scientific and personalized teaching evaluation and better realize individualized teaching.This paper systematically combs the knowledge points of Performance Management course and forms a comprehensive knowledge graph.The knowledge point is associated with specific questions to form the problem map of the course,and then the knowledge point is further associated with the ability target to form the ability map of the course.Then,the knowledge point is associated with teaching materials,question bank and expansion resources to form a systematic teaching database,thereby giving the method of building the content system of Performance Management course based on the knowledge map.This research can be further extended to other core management courses to realize the deep integration of knowledge graph and teaching.展开更多
In today’s competitive business environment,strategic performance management(SPM)is crucial for continuous growth and innovation.Therefore,it is important to realize the advantages of SPM in enterprise applications.T...In today’s competitive business environment,strategic performance management(SPM)is crucial for continuous growth and innovation.Therefore,it is important to realize the advantages of SPM in enterprise applications.This paper analyzes the theoretical basis,implementation framework,and application effects of SPM in enterprises by examining actual cases from different industries.It reveals the core elements of an effective performance management system,including clear goal setting,reasonable performance indicators,and periodic performance evaluations.Additionally,the paper examines the impact of China’s specific economic policy environment on the implementation of SPM and proposes strategies to optimize performance management practices,ultimately promoting the achievement of strategic goals.This paper provides specific and personalized practical guidance for enterprises.展开更多
This paper proposes an intelligent management system (IMS) to help managers in their delicate and tedious task of exploiting the plethora of data (indicators) contained in management dashboards. This system is based o...This paper proposes an intelligent management system (IMS) to help managers in their delicate and tedious task of exploiting the plethora of data (indicators) contained in management dashboards. This system is based on intelligent agents, ontologies and data mining. It is implemented by PASSI (Process for Agent Societies Specification and Implementation) methods for agent design and implementation, the Methodology for Knowledge Modeling and Hot-Winters for data prediction. Intelligent agents not only track indicators but also store the knowledge of managers within the company. Ontologies are used to manage the representation and presentation aspects of knowledge. Data mining makes it possible to: make the most of all available data;model the industrial process of data selection, exploration and modeling;and transform behaviors into predictive indicators. An instance of the IMS named SYGISS, currently in operation within a large brewery organization, allows us to observe very interesting results: the extraction of indicators is done in less than 5 minutes whereas manual extraction used to take 14 days;the generation of dashboards is instantaneous whereas it used to take 12 hours;the interpretation of indicators is instantaneous whereas it used to take a day;forecasts are possible and are done in less than 5 minutes whereas they did not exist with the old management. These important contributions help to optimize the management of this organization.展开更多
The integrated aircraft flight performance management techniques are discussed in this paper based on the point-mass energy state approximation principle. The flight performance optimization algorithms, developed with...The integrated aircraft flight performance management techniques are discussed in this paper based on the point-mass energy state approximation principle. The flight performance optimization algorithms, developed with energy state approximation approach, are first introduced, the functionally integrated flight path/speed control system, so called total energy control system (TECS), is then discussed, and the guidance technique and algorithms, which relate the performance optimization results directly with the TECS, are analyzed and developed. Digital simulation results for a specific transport aircraft model demonstrate the satisfactory performances of the resulted flight performance management system.展开更多
Kawasaki disease(KD)is a significant pediatric vasculitis known for its potential to cause severe coronary artery complications.Despite the effectiveness of initial treatments,such as intravenous immunoglobulin,KD pat...Kawasaki disease(KD)is a significant pediatric vasculitis known for its potential to cause severe coronary artery complications.Despite the effectiveness of initial treatments,such as intravenous immunoglobulin,KD patients can experience long-term cardiovascular issues,as evidenced by a recent case report of an adult who suffered a ST-segment elevation myocardial infarction due to previous KD in the World Journal of Clinical Cases.This editorial emphasizes the critical need for long-term management and regular surveillance to prevent such complications.By drawing on recent research and case studies,we advocate for a structured approach to follow-up care that includes routine cardiac evaluations and preventive measures.展开更多
This article provides a comprehensive analysis of the study by Hou et al,focusing on the complex interplay between psychological and physical factors in the postoperative recovery(POR)of patients with perianal disease...This article provides a comprehensive analysis of the study by Hou et al,focusing on the complex interplay between psychological and physical factors in the postoperative recovery(POR)of patients with perianal diseases.The study sheds light on how illness perception,anxiety,and depression significantly influence recovery outcomes.Hou et al developed a predictive model that demonstrated high accuracy in identifying patients at risk of poor recovery.The article explores the critical role of pre-operative psychological assessment,highlighting the need for mental health support and personalized recovery plans in enhancing POR quality.A multidisciplinary approach,integrating mental health professionals with surgeons,anesthesiologists,and other specialists,is emphasized to ensure comprehensive care for patients.The study’s findings serve as a call to integrate psychological care into surgical practice to optimize outcomes for patients with perianal diseases.展开更多
An integrated, efficient and effective performance management system, "dynamic performance management system", is presented, which covers the entire performance management process including measures design, analysis...An integrated, efficient and effective performance management system, "dynamic performance management system", is presented, which covers the entire performance management process including measures design, analysis, and dynamic update. The analysis of performance measures using causal loop diagrams, qualitative inference and analytic network process is mainly discussed. A real world case study is carried out throughout the paper to explain how the framework works. A software tool for DPMS, Performance Analyzer, is also introduced.展开更多
The COVID-19 pandemic has directly impacted the electric power industry;the energy sector has experienced huge losses in electricity production.These losses have also affected the reliability of communication and empl...The COVID-19 pandemic has directly impacted the electric power industry;the energy sector has experienced huge losses in electricity production.These losses have also affected the reliability of communication and employees’performance,hence destabilizing the electric power system.This article aims at achieving two objectives.First,analyzing the impact of the COVID-19 pandemic on the communication of performance(human error and human factors)and energy management in electricity production.Second,to develop a conceptual framework model to alleviate effects of the pandemic on the power sector and then improve energy management and human performance.This paper involves investigating the influence of the COVID19 pandemic on the global production of electricity in the first quarters of 2019 and 2020.A conceptual model was developed based on a case study.Additionally,to ensure reliability,a variable,namely COVID-19,was used as a moderator to examine the effects of the independent and dependent variables.The results show that scores for the internet of things(IoT)with awareness and communication(A&C)and workplace environment management were high with Cronbach’s alpha value of 0.87 for the IoT and 0.89 for A&C.These numbers are important indicators of factors that could affect performance and energy management and should not be overlooked by the top management.The results also indicate that the pandemic has had a direct effect on the electricity production sector,and the conceptual framework model revealed that COVID-19,as a moderator,has a direct effect on the variables that significantly affect the improvement of both energy management and employee performance.The case study’s results confirm the poor performance in power plant maintenance and operation,in which human error would increase especially in Iraqi power plants that have not yet adopted any internationally recognized standards for energy management.This paper contributes to the literature studying COVID-19’s impact on the electricity sector in two ways:first,by developing a model to assist the electricity production sector mitigating effects of the COVID-19 pandemic,and second,by providing a detailed investigation into the pandemic’s impact on the electricity sector’s global production.The findings are hoped to assist researchers and research centers in understanding the general and specific framework to manage the pandemic’s effects on electricity production.展开更多
Natural mortality rate(M) is one of the essential parameters in fishery stock assessment, however, the estimation of M is commonly rough and the changes of M due to natural and anthropogenic impacts have long been i...Natural mortality rate(M) is one of the essential parameters in fishery stock assessment, however, the estimation of M is commonly rough and the changes of M due to natural and anthropogenic impacts have long been ignored.The simplification of M estimation and the influence of M variations on the assessment and management of fisheries stocks have been less well understood. This study evaluated the impacts of the changes in natural mortality of Spanish mackerel(Scomberomorus niphonius) on their management strategies with data-limited methods. We tested the performances of a variety of management procedures(MPs) with the variations of M in mackerel stock using diverse estimation methods. The results of management strategies evaluation showed that four management procedures DCAC, SPMSY, cur E75 and minlen Lopt1 were more robust to the changes of M than others; however, their performance were substantially influenced by the significant decrease of M from the 1970s to 2017. Relative population biomass(measure as the probability of B〉0.5 BMSY) increased significantly with the decrease of M, whereas the possibility of overfishing showed remarkable variations across MPs. The decrease of M had minor effects on the long-term yield of cur E75 and minlen Lopt1, and reduced the fluctuation of yield(measure as the probability of AAVY〈15%) for DCAC, SPMSY. In general, the different methods for M estimation showed minor effects on the performance of MPs, whereas the temporal changes of M showed substantial influences. Considering the fishery status of Spanish mackerel in China, we recommended that cur E75 has the best trade-off between fishery resources exploitation and conservation, and we also proposed the potentials and issues in their implementations.展开更多
An understanding of the influence of contractor monitoring on performance of road infrastructural projects in Uganda provided an impetus for this study. The objectives of the study were to: assess the relationship bet...An understanding of the influence of contractor monitoring on performance of road infrastructural projects in Uganda provided an impetus for this study. The objectives of the study were to: assess the relationship between contractors monitoring and performance of national road infrastructure projects and the relationship between contractor monitoring components and performance of national road infrastructure projects in Uganda. Purposive sampling was employed in selecting the procurement professionals, engineers and simple random sampling was adopted in selecting private consultants, members of parliament and respondents from the civil society organizations. Data for this study were collected using a closed ended questionnaire and interviews. Some of the major finding from this study include: weak procurement rules which lead to awarding road projects to incompetent contractors;contractor monitoring being handled by unqualified, incompetent and inexperienced professionals;lack of contractors and contract supervisors appraisal system;delay of contractors payments which affects timelines in services delivery;lack of a strong internal project monitoring and evaluation mechanism at the Uganda National Roads Agency (UNRA). The research therefore recommends the establishment of an Independent Public Infrastructure Development and Monitoring Unit by government and adoption of systems that appraise both contractors and contract supervisors with clear disciplinary actions for unsatisfactory performance by the UNRA.展开更多
Diabetes mellitus (DM) is a chronic metabolic condition characterized predominantlyby hyperglycemia. The most common causes contributing to the pathophysiologyof diabetes are insufficient insulin secretion, resistance...Diabetes mellitus (DM) is a chronic metabolic condition characterized predominantlyby hyperglycemia. The most common causes contributing to the pathophysiologyof diabetes are insufficient insulin secretion, resistance to insulin’stissue-acting effects, or a combination of both. Over the last 30 years, the globalprevalence of diabetes increased from 4% to 6.4%. If no better treatment or cure isfound, this amount might climb to 430 million in the coming years. The major fact-ors of the disease’s deterioration include age, obesity, and a sedentary lifestyle.Finding new therapies to manage diabetes safely and effectively without jeopardizingpatient compliance has always been essential. Among the medicationsavailable to manage DM on this journey are glucagon-like peptide-1 agonists,thiazolidinediones, sulphonyl urease, glinides, biguanides, and insulin-targetingreceptors discovered more than 10 years ago. Despite the extensive preliminarystudies, a few clinical observations suggest this process is still in its early stages.The present review focuses on targets that contribute to insulin regulation andmay be employed as targets in treating diabetes since they may be more efficientand secure than current and traditional treatments.展开更多
This study develops a procedure to rank agencies based on their incident responses using roadway clearance times for crashes. This analysis is not intended to grade agencies but to assist in identifying agencies requi...This study develops a procedure to rank agencies based on their incident responses using roadway clearance times for crashes. This analysis is not intended to grade agencies but to assist in identifying agencies requiring more training or resources for incident management. Previous NCHRP reports discussed usage of different factors including incident severity, roadway characteristics, number of lanes involved and time of incident separately for estimating the performance. However, it does not tell us how to incorporate all the factors at the same time. Thus, this study aims to account for multiple factors to ensure fair comparisons. This study used 149,174 crashes from Iowa that occurred from 2018 to 2021. A Tobit regression model was used to find the effect of different variables on roadway clearance time. Variables that cannot be controlled directly by agencies such as crash severity, roadway type, weather conditions, lighting conditions, etc., were included in the analysis as it helps to reduce bias in the ranking procedure. Then clearance time of each crash is normalized into a base condition using the regression coefficients. The normalization makes the process more efficient as the effect of uncontrollable factors has already been mitigated. Finally, the agencies were ranked by their average normalized roadway clearance time. This ranking process allows agencies to track their performance of previous crashes, can be used in identifying low performing agencies that could use additional resources and training, and can be used to identify high performing agencies to recognize for their efforts and performance.展开更多
An architecture for online discovery quantitative models system of service performance management is proposed. The system is capable of constructing the quantitative models without prior knowledge of the managed eleme...An architecture for online discovery quantitative models system of service performance management is proposed. The system is capable of constructing the quantitative models without prior knowledge of the managed elements. The model can be updated continuously in response to the changes made in provider configurations and the evolution of business demands. Due to the existence of strong correlation between the distributed service metrics and response times, linear and hyper-linear quantitative models are constructed, which respectively, use stepwise multiple linear regression algorithm. The simulation results show the effectiveness of a quantitative model constructing system and model constructing algorithms.展开更多
The performance model proposed by this study represents an innovative approach to deal with performance assessment in ATM (air traffic management). It is based on Bayesian networks methodology, which presents severa...The performance model proposed by this study represents an innovative approach to deal with performance assessment in ATM (air traffic management). It is based on Bayesian networks methodology, which presents several advantages but also some drawbacks as highlighted along the paper. We illustrate the main steps required for building the model and present a number of interesting results. The contribution of the paper is two-fold: (1) It presents a new methodological approach to deal with a problem which is of strategic importance for ANSPs (air navigation service providers); (2) It provides insights on the interdependencies between factors influencing performance. Both results are considered particularly important nowadays, due to the SES (Single European Sky) performance scheme and its related target setting process.展开更多
Rapid changes in business environment have increased the needs of graduates who have capabilities of anticipating to the changes. The faculty, especially at the level of study program, has an important role in affecti...Rapid changes in business environment have increased the needs of graduates who have capabilities of anticipating to the changes. The faculty, especially at the level of study program, has an important role in affecting the quality of graduates, because the study program is the core element in the higher education institution which involves directly in planning, organizing, executing and controlling the teaching and learning activities. This dissertation is to examine the effect of leadership on performance management and good governance, and also to examine the effect of performance management and good governance on internal and external satisfaction. The data for this causal research is collected by questionnaire. Unit of analysis in this research is all study programs in all accredited faculty of economics in East Java. The respondents are academic staffs, students and administrative staffs in the study program. There were 83 of 125 accredited study program which has been successfully contacted and agreed to participate in the research. There were 900 students and 285 academic staffs filling up the questionnaires. The data analysis is conducted by Path Analysis with the SPSS 11.5 version software to measure construct validity and reliability and to test causal relationships between variables in the model. The findings of the research showed that: (1) Leadership affects performance management significantly; (2) Leadership affects good governance significantly; (3) Leadership affects internal satisfaction significantly; (4) Performance management affects internal satisfaction; (5) Good governance significantly affects external satisfaction; (6) Internal satisfaction does not affect external satisfaction. Based on the findings in this research, it is suggested that the study programs take into account the implementation of performance management in order to undertake improvement continuously considering that performance management supports the quality assurance activity. It is also suggested that the faculty implements good governance formally. However, the implementation should empower the study program to undertake the improvement.展开更多
This paper first analyses the advantages and disadvantages of performance appraisal methods on team member,then presents performance appraisal of team member must go back to behavior measure, and it must be behavior-o...This paper first analyses the advantages and disadvantages of performance appraisal methods on team member,then presents performance appraisal of team member must go back to behavior measure, and it must be behavior-oriented. This paper also explores the processof performance management of team member thoroughly.展开更多
Corporate Performance Management (CPM) system is an information system used to collect, analyze, and visualize key performance indicators (KPIs) to support both business operations and especially strategic decisio...Corporate Performance Management (CPM) system is an information system used to collect, analyze, and visualize key performance indicators (KPIs) to support both business operations and especially strategic decisions. CPM systems display KPIs in forms of scorecard and dashboard so the executives can keep track and evaluate corporate performance. The quality of the information as shown in the KPIs is very crucial for the executives to make the right decisions. Therefore, it is important that the executives must be able to retrieve not only the KPIs but also the quality of those KPIs before using such KPIs in their strategic decisions. The objectives of this study were to determine the role of the CPM system in the organizations, current data and information quality state, problems and perspectives regarding data quality, as well as data quality maturity stage of the organizations. Survey research was used in this study; a questionnaire was sent to collect data from 477 corporations listed in the Stock Exchange of Thailand (SET) on January, 2011. Forty-nine questionnaires were returned. The results show that about half of the organizations have implemented CPM systems. Most organizations are confident in the information in CPM system, but information quality issues are commonly found. Frequent problems regarding information quality are information not up to date, information not ready by time of use, inaccuracy and incomplete. The most concerned and frequently assessed quality dimensions were security, accuracy, completeness, and validity. When asked to prioritize, the most important quality dimensions are accuracy, timeliness, completeness, security, and validity respectively. In addition, most organizations concern about data govemance management and have deployed such measures. This study showed that most organizations are on level 4 on Gartner's data governance maturity stage in which data governance is concerned and managed, but still not effective.展开更多
Resource oversubscription optimizes the utilization of the computing resources. Many well-known virtual machine monitors(VMMs)such as Xen and KVM,adopt this approach to help maximize the yield of the cloud datacenters...Resource oversubscription optimizes the utilization of the computing resources. Many well-known virtual machine monitors(VMMs)such as Xen and KVM,adopt this approach to help maximize the yield of the cloud datacenters That is,with proper resource oversubscription strategies,more virtual machines(VMs) can be supported by limited resources. However performance interference among VMs hosting in the same physical machines(PMs) exists in cloud environment,and probably aggravated by resource oversubscription strategies,which aims to put more VMs into the same PM. In this paper,we present a resource oversubscription strategy called Sponge targeting cloud platforms Sponge mitigates the issue of performance interference among the oversubscribed co-hosting VMs. Sponge also provides a VM association strategy for each PM to handle with its besteffort. We performed our evaluation on a virtua datacenter simulated by Xen. Our evaluation results show that Sponge improves the resources utilization and manages to make each VM mee its performance requirement even hosting with other VMs in the same PM.展开更多
Working capital always being disregard in financial decision making since it involve investment and financing in short term period. However, it is an important component in firm financial management decision. An optim...Working capital always being disregard in financial decision making since it involve investment and financing in short term period. However, it is an important component in firm financial management decision. An optimal working capital management is expected to contribute positively to the creation of firm value. To reach optimal working capital management firm manager should control the trade off between profitability and liquidity accurately. The intention of this study is to examine the relationship between working capital management and firm profitability. Cash conversion cycle is used as measure of working capital management. This study is used panel data of 1628 firm-year for the period of 1996-2006 that consist of six different economic sectors which are listed in Bursa Malaysia. The coefficient results of Pooled OLS regression analysis provide a strong negative significant relationship between cash conversion cycle and firm profitability. This reveals that reducing cash conversion period results to profitability increase. Thus, in purpose to create shareholder value, firm manager should concern on shorten of cash conversion cycle till optimal level is achieved.展开更多
基金supported by the Ministerio Espanol de Ciencia e Innovación under Project Number PID2020-115570GB-C22,MCIN/AEI/10.13039/501100011033by the Cátedra de Empresa Tecnología para las Personas(UGR-Fujitsu).
文摘As cloud computing usage grows,cloud data centers play an increasingly important role.To maximize resource utilization,ensure service quality,and enhance system performance,it is crucial to allocate tasks and manage performance effectively.The purpose of this study is to provide an extensive analysis of task allocation and performance management techniques employed in cloud data centers.The aim is to systematically categorize and organize previous research by identifying the cloud computing methodologies,categories,and gaps.A literature review was conducted,which included the analysis of 463 task allocations and 480 performance management papers.The review revealed three task allocation research topics and seven performance management methods.Task allocation research areas are resource allocation,load-Balancing,and scheduling.Performance management includes monitoring and control,power and energy management,resource utilization optimization,quality of service management,fault management,virtual machine management,and network management.The study proposes new techniques to enhance cloud computing work allocation and performance management.Short-comings in each approach can guide future research.The research’s findings on cloud data center task allocation and performance management can assist academics,practitioners,and cloud service providers in optimizing their systems for dependability,cost-effectiveness,and scalability.Innovative methodologies can steer future research to fill gaps in the literature.
基金Education and Teaching Reform Research Project of Chongqing Institute of Engineering(JY2023206)。
文摘Performance Management is the core course of human resource management major,but its knowledge points lack multi-dimensional correlations.There are problems such as scattered content and unclear system,and it is urgent to reconstruct the content system of the course.Knowledge graph technology can integrate massive and scattered information into an organic structure through semantic correlation and reasoning.The application of knowledge graph to education and teaching can promote scientific and personalized teaching evaluation and better realize individualized teaching.This paper systematically combs the knowledge points of Performance Management course and forms a comprehensive knowledge graph.The knowledge point is associated with specific questions to form the problem map of the course,and then the knowledge point is further associated with the ability target to form the ability map of the course.Then,the knowledge point is associated with teaching materials,question bank and expansion resources to form a systematic teaching database,thereby giving the method of building the content system of Performance Management course based on the knowledge map.This research can be further extended to other core management courses to realize the deep integration of knowledge graph and teaching.
文摘In today’s competitive business environment,strategic performance management(SPM)is crucial for continuous growth and innovation.Therefore,it is important to realize the advantages of SPM in enterprise applications.This paper analyzes the theoretical basis,implementation framework,and application effects of SPM in enterprises by examining actual cases from different industries.It reveals the core elements of an effective performance management system,including clear goal setting,reasonable performance indicators,and periodic performance evaluations.Additionally,the paper examines the impact of China’s specific economic policy environment on the implementation of SPM and proposes strategies to optimize performance management practices,ultimately promoting the achievement of strategic goals.This paper provides specific and personalized practical guidance for enterprises.
文摘This paper proposes an intelligent management system (IMS) to help managers in their delicate and tedious task of exploiting the plethora of data (indicators) contained in management dashboards. This system is based on intelligent agents, ontologies and data mining. It is implemented by PASSI (Process for Agent Societies Specification and Implementation) methods for agent design and implementation, the Methodology for Knowledge Modeling and Hot-Winters for data prediction. Intelligent agents not only track indicators but also store the knowledge of managers within the company. Ontologies are used to manage the representation and presentation aspects of knowledge. Data mining makes it possible to: make the most of all available data;model the industrial process of data selection, exploration and modeling;and transform behaviors into predictive indicators. An instance of the IMS named SYGISS, currently in operation within a large brewery organization, allows us to observe very interesting results: the extraction of indicators is done in less than 5 minutes whereas manual extraction used to take 14 days;the generation of dashboards is instantaneous whereas it used to take 12 hours;the interpretation of indicators is instantaneous whereas it used to take a day;forecasts are possible and are done in less than 5 minutes whereas they did not exist with the old management. These important contributions help to optimize the management of this organization.
文摘The integrated aircraft flight performance management techniques are discussed in this paper based on the point-mass energy state approximation principle. The flight performance optimization algorithms, developed with energy state approximation approach, are first introduced, the functionally integrated flight path/speed control system, so called total energy control system (TECS), is then discussed, and the guidance technique and algorithms, which relate the performance optimization results directly with the TECS, are analyzed and developed. Digital simulation results for a specific transport aircraft model demonstrate the satisfactory performances of the resulted flight performance management system.
文摘Kawasaki disease(KD)is a significant pediatric vasculitis known for its potential to cause severe coronary artery complications.Despite the effectiveness of initial treatments,such as intravenous immunoglobulin,KD patients can experience long-term cardiovascular issues,as evidenced by a recent case report of an adult who suffered a ST-segment elevation myocardial infarction due to previous KD in the World Journal of Clinical Cases.This editorial emphasizes the critical need for long-term management and regular surveillance to prevent such complications.By drawing on recent research and case studies,we advocate for a structured approach to follow-up care that includes routine cardiac evaluations and preventive measures.
基金Supported by National Research Foundation of Korea,No.NRF-2021S1A5A8062526.
文摘This article provides a comprehensive analysis of the study by Hou et al,focusing on the complex interplay between psychological and physical factors in the postoperative recovery(POR)of patients with perianal diseases.The study sheds light on how illness perception,anxiety,and depression significantly influence recovery outcomes.Hou et al developed a predictive model that demonstrated high accuracy in identifying patients at risk of poor recovery.The article explores the critical role of pre-operative psychological assessment,highlighting the need for mental health support and personalized recovery plans in enhancing POR quality.A multidisciplinary approach,integrating mental health professionals with surgeons,anesthesiologists,and other specialists,is emphasized to ensure comprehensive care for patients.The study’s findings serve as a call to integrate psychological care into surgical practice to optimize outcomes for patients with perianal diseases.
文摘An integrated, efficient and effective performance management system, "dynamic performance management system", is presented, which covers the entire performance management process including measures design, analysis, and dynamic update. The analysis of performance measures using causal loop diagrams, qualitative inference and analytic network process is mainly discussed. A real world case study is carried out throughout the paper to explain how the framework works. A software tool for DPMS, Performance Analyzer, is also introduced.
基金This work is supported by the Universiti Teknologi Malaysia under Research University Grants Q.K130000.3556.07G32 and Q.K130000.3556.06G45 for the financial support provided throughout the course of this research project.
文摘The COVID-19 pandemic has directly impacted the electric power industry;the energy sector has experienced huge losses in electricity production.These losses have also affected the reliability of communication and employees’performance,hence destabilizing the electric power system.This article aims at achieving two objectives.First,analyzing the impact of the COVID-19 pandemic on the communication of performance(human error and human factors)and energy management in electricity production.Second,to develop a conceptual framework model to alleviate effects of the pandemic on the power sector and then improve energy management and human performance.This paper involves investigating the influence of the COVID19 pandemic on the global production of electricity in the first quarters of 2019 and 2020.A conceptual model was developed based on a case study.Additionally,to ensure reliability,a variable,namely COVID-19,was used as a moderator to examine the effects of the independent and dependent variables.The results show that scores for the internet of things(IoT)with awareness and communication(A&C)and workplace environment management were high with Cronbach’s alpha value of 0.87 for the IoT and 0.89 for A&C.These numbers are important indicators of factors that could affect performance and energy management and should not be overlooked by the top management.The results also indicate that the pandemic has had a direct effect on the electricity production sector,and the conceptual framework model revealed that COVID-19,as a moderator,has a direct effect on the variables that significantly affect the improvement of both energy management and employee performance.The case study’s results confirm the poor performance in power plant maintenance and operation,in which human error would increase especially in Iraqi power plants that have not yet adopted any internationally recognized standards for energy management.This paper contributes to the literature studying COVID-19’s impact on the electricity sector in two ways:first,by developing a model to assist the electricity production sector mitigating effects of the COVID-19 pandemic,and second,by providing a detailed investigation into the pandemic’s impact on the electricity sector’s global production.The findings are hoped to assist researchers and research centers in understanding the general and specific framework to manage the pandemic’s effects on electricity production.
基金The Fundamental Research Funds for the Central Universities under contract Nos 201562030 and 201612004
文摘Natural mortality rate(M) is one of the essential parameters in fishery stock assessment, however, the estimation of M is commonly rough and the changes of M due to natural and anthropogenic impacts have long been ignored.The simplification of M estimation and the influence of M variations on the assessment and management of fisheries stocks have been less well understood. This study evaluated the impacts of the changes in natural mortality of Spanish mackerel(Scomberomorus niphonius) on their management strategies with data-limited methods. We tested the performances of a variety of management procedures(MPs) with the variations of M in mackerel stock using diverse estimation methods. The results of management strategies evaluation showed that four management procedures DCAC, SPMSY, cur E75 and minlen Lopt1 were more robust to the changes of M than others; however, their performance were substantially influenced by the significant decrease of M from the 1970s to 2017. Relative population biomass(measure as the probability of B〉0.5 BMSY) increased significantly with the decrease of M, whereas the possibility of overfishing showed remarkable variations across MPs. The decrease of M had minor effects on the long-term yield of cur E75 and minlen Lopt1, and reduced the fluctuation of yield(measure as the probability of AAVY〈15%) for DCAC, SPMSY. In general, the different methods for M estimation showed minor effects on the performance of MPs, whereas the temporal changes of M showed substantial influences. Considering the fishery status of Spanish mackerel in China, we recommended that cur E75 has the best trade-off between fishery resources exploitation and conservation, and we also proposed the potentials and issues in their implementations.
文摘An understanding of the influence of contractor monitoring on performance of road infrastructural projects in Uganda provided an impetus for this study. The objectives of the study were to: assess the relationship between contractors monitoring and performance of national road infrastructure projects and the relationship between contractor monitoring components and performance of national road infrastructure projects in Uganda. Purposive sampling was employed in selecting the procurement professionals, engineers and simple random sampling was adopted in selecting private consultants, members of parliament and respondents from the civil society organizations. Data for this study were collected using a closed ended questionnaire and interviews. Some of the major finding from this study include: weak procurement rules which lead to awarding road projects to incompetent contractors;contractor monitoring being handled by unqualified, incompetent and inexperienced professionals;lack of contractors and contract supervisors appraisal system;delay of contractors payments which affects timelines in services delivery;lack of a strong internal project monitoring and evaluation mechanism at the Uganda National Roads Agency (UNRA). The research therefore recommends the establishment of an Independent Public Infrastructure Development and Monitoring Unit by government and adoption of systems that appraise both contractors and contract supervisors with clear disciplinary actions for unsatisfactory performance by the UNRA.
文摘Diabetes mellitus (DM) is a chronic metabolic condition characterized predominantlyby hyperglycemia. The most common causes contributing to the pathophysiologyof diabetes are insufficient insulin secretion, resistance to insulin’stissue-acting effects, or a combination of both. Over the last 30 years, the globalprevalence of diabetes increased from 4% to 6.4%. If no better treatment or cure isfound, this amount might climb to 430 million in the coming years. The major fact-ors of the disease’s deterioration include age, obesity, and a sedentary lifestyle.Finding new therapies to manage diabetes safely and effectively without jeopardizingpatient compliance has always been essential. Among the medicationsavailable to manage DM on this journey are glucagon-like peptide-1 agonists,thiazolidinediones, sulphonyl urease, glinides, biguanides, and insulin-targetingreceptors discovered more than 10 years ago. Despite the extensive preliminarystudies, a few clinical observations suggest this process is still in its early stages.The present review focuses on targets that contribute to insulin regulation andmay be employed as targets in treating diabetes since they may be more efficientand secure than current and traditional treatments.
文摘This study develops a procedure to rank agencies based on their incident responses using roadway clearance times for crashes. This analysis is not intended to grade agencies but to assist in identifying agencies requiring more training or resources for incident management. Previous NCHRP reports discussed usage of different factors including incident severity, roadway characteristics, number of lanes involved and time of incident separately for estimating the performance. However, it does not tell us how to incorporate all the factors at the same time. Thus, this study aims to account for multiple factors to ensure fair comparisons. This study used 149,174 crashes from Iowa that occurred from 2018 to 2021. A Tobit regression model was used to find the effect of different variables on roadway clearance time. Variables that cannot be controlled directly by agencies such as crash severity, roadway type, weather conditions, lighting conditions, etc., were included in the analysis as it helps to reduce bias in the ranking procedure. Then clearance time of each crash is normalized into a base condition using the regression coefficients. The normalization makes the process more efficient as the effect of uncontrollable factors has already been mitigated. Finally, the agencies were ranked by their average normalized roadway clearance time. This ranking process allows agencies to track their performance of previous crashes, can be used in identifying low performing agencies that could use additional resources and training, and can be used to identify high performing agencies to recognize for their efforts and performance.
基金This paper is supported by the National Natural Science Foundation of China (Grant No. 90304006),the Spe-cialized Research Fund for the Doctoral Program of Higher Education (SRFDP)(Grant No. 20020698018).
文摘An architecture for online discovery quantitative models system of service performance management is proposed. The system is capable of constructing the quantitative models without prior knowledge of the managed elements. The model can be updated continuously in response to the changes made in provider configurations and the evolution of business demands. Due to the existence of strong correlation between the distributed service metrics and response times, linear and hyper-linear quantitative models are constructed, which respectively, use stepwise multiple linear regression algorithm. The simulation results show the effectiveness of a quantitative model constructing system and model constructing algorithms.
文摘The performance model proposed by this study represents an innovative approach to deal with performance assessment in ATM (air traffic management). It is based on Bayesian networks methodology, which presents several advantages but also some drawbacks as highlighted along the paper. We illustrate the main steps required for building the model and present a number of interesting results. The contribution of the paper is two-fold: (1) It presents a new methodological approach to deal with a problem which is of strategic importance for ANSPs (air navigation service providers); (2) It provides insights on the interdependencies between factors influencing performance. Both results are considered particularly important nowadays, due to the SES (Single European Sky) performance scheme and its related target setting process.
文摘Rapid changes in business environment have increased the needs of graduates who have capabilities of anticipating to the changes. The faculty, especially at the level of study program, has an important role in affecting the quality of graduates, because the study program is the core element in the higher education institution which involves directly in planning, organizing, executing and controlling the teaching and learning activities. This dissertation is to examine the effect of leadership on performance management and good governance, and also to examine the effect of performance management and good governance on internal and external satisfaction. The data for this causal research is collected by questionnaire. Unit of analysis in this research is all study programs in all accredited faculty of economics in East Java. The respondents are academic staffs, students and administrative staffs in the study program. There were 83 of 125 accredited study program which has been successfully contacted and agreed to participate in the research. There were 900 students and 285 academic staffs filling up the questionnaires. The data analysis is conducted by Path Analysis with the SPSS 11.5 version software to measure construct validity and reliability and to test causal relationships between variables in the model. The findings of the research showed that: (1) Leadership affects performance management significantly; (2) Leadership affects good governance significantly; (3) Leadership affects internal satisfaction significantly; (4) Performance management affects internal satisfaction; (5) Good governance significantly affects external satisfaction; (6) Internal satisfaction does not affect external satisfaction. Based on the findings in this research, it is suggested that the study programs take into account the implementation of performance management in order to undertake improvement continuously considering that performance management supports the quality assurance activity. It is also suggested that the faculty implements good governance formally. However, the implementation should empower the study program to undertake the improvement.
文摘This paper first analyses the advantages and disadvantages of performance appraisal methods on team member,then presents performance appraisal of team member must go back to behavior measure, and it must be behavior-oriented. This paper also explores the processof performance management of team member thoroughly.
文摘Corporate Performance Management (CPM) system is an information system used to collect, analyze, and visualize key performance indicators (KPIs) to support both business operations and especially strategic decisions. CPM systems display KPIs in forms of scorecard and dashboard so the executives can keep track and evaluate corporate performance. The quality of the information as shown in the KPIs is very crucial for the executives to make the right decisions. Therefore, it is important that the executives must be able to retrieve not only the KPIs but also the quality of those KPIs before using such KPIs in their strategic decisions. The objectives of this study were to determine the role of the CPM system in the organizations, current data and information quality state, problems and perspectives regarding data quality, as well as data quality maturity stage of the organizations. Survey research was used in this study; a questionnaire was sent to collect data from 477 corporations listed in the Stock Exchange of Thailand (SET) on January, 2011. Forty-nine questionnaires were returned. The results show that about half of the organizations have implemented CPM systems. Most organizations are confident in the information in CPM system, but information quality issues are commonly found. Frequent problems regarding information quality are information not up to date, information not ready by time of use, inaccuracy and incomplete. The most concerned and frequently assessed quality dimensions were security, accuracy, completeness, and validity. When asked to prioritize, the most important quality dimensions are accuracy, timeliness, completeness, security, and validity respectively. In addition, most organizations concern about data govemance management and have deployed such measures. This study showed that most organizations are on level 4 on Gartner's data governance maturity stage in which data governance is concerned and managed, but still not effective.
基金supported by National Science Foundation of China under grant No.61232008National 863 Hi-Tech Research and Development Program under grant No.2013AA01A208 and 2015AA011402
文摘Resource oversubscription optimizes the utilization of the computing resources. Many well-known virtual machine monitors(VMMs)such as Xen and KVM,adopt this approach to help maximize the yield of the cloud datacenters That is,with proper resource oversubscription strategies,more virtual machines(VMs) can be supported by limited resources. However performance interference among VMs hosting in the same physical machines(PMs) exists in cloud environment,and probably aggravated by resource oversubscription strategies,which aims to put more VMs into the same PM. In this paper,we present a resource oversubscription strategy called Sponge targeting cloud platforms Sponge mitigates the issue of performance interference among the oversubscribed co-hosting VMs. Sponge also provides a VM association strategy for each PM to handle with its besteffort. We performed our evaluation on a virtua datacenter simulated by Xen. Our evaluation results show that Sponge improves the resources utilization and manages to make each VM mee its performance requirement even hosting with other VMs in the same PM.
文摘Working capital always being disregard in financial decision making since it involve investment and financing in short term period. However, it is an important component in firm financial management decision. An optimal working capital management is expected to contribute positively to the creation of firm value. To reach optimal working capital management firm manager should control the trade off between profitability and liquidity accurately. The intention of this study is to examine the relationship between working capital management and firm profitability. Cash conversion cycle is used as measure of working capital management. This study is used panel data of 1628 firm-year for the period of 1996-2006 that consist of six different economic sectors which are listed in Bursa Malaysia. The coefficient results of Pooled OLS regression analysis provide a strong negative significant relationship between cash conversion cycle and firm profitability. This reveals that reducing cash conversion period results to profitability increase. Thus, in purpose to create shareholder value, firm manager should concern on shorten of cash conversion cycle till optimal level is achieved.