Real-world engineering design problems with complex objective functions under some constraints are relatively difficult problems to solve.Such design problems are widely experienced in many engineering fields,such as ...Real-world engineering design problems with complex objective functions under some constraints are relatively difficult problems to solve.Such design problems are widely experienced in many engineering fields,such as industry,automotive,construction,machinery,and interdisciplinary research.However,there are established optimization techniques that have shown effectiveness in addressing these types of issues.This research paper gives a comparative study of the implementation of seventeen new metaheuristic methods in order to optimize twelve distinct engineering design issues.The algorithms used in the study are listed as:transient search optimization(TSO),equilibrium optimizer(EO),grey wolf optimizer(GWO),moth-flame optimization(MFO),whale optimization algorithm(WOA),slimemould algorithm(SMA),harris hawks optimization(HHO),chimp optimization algorithm(COA),coot optimization algorithm(COOT),multi-verse optimization(MVO),arithmetic optimization algorithm(AOA),aquila optimizer(AO),sine cosine algorithm(SCA),smell agent optimization(SAO),and seagull optimization algorithm(SOA),pelican optimization algorithm(POA),and coati optimization algorithm(CA).As far as we know,there is no comparative analysis of recent and popular methods against the concrete conditions of real-world engineering problems.Hence,a remarkable research guideline is presented in the study for researchersworking in the fields of engineering and artificial intelligence,especiallywhen applying the optimization methods that have emerged recently.Future research can rely on this work for a literature search on comparisons of metaheuristic optimization methods in real-world problems under similar conditions.展开更多
AIM To analyze the viability of Ecological Momentary Assessment(EMA) for measuring the mental states associated with psychopathological problems in adolescents.METHODS In a sample of 110 adolescents,a sociodemographic...AIM To analyze the viability of Ecological Momentary Assessment(EMA) for measuring the mental states associated with psychopathological problems in adolescents.METHODS In a sample of 110 adolescents,a sociodemographic data survey and an EMA Smartphone application over a oneweek period(five times each day),was developed to explore symptom profiles,everyday problems,coping strategies,and the contexts in which the events take place.RESULTS The positive response was 68.6%.Over 2250 prompts about mental states were recorded.In 53% of situations the smartphone was answered at home,25.5% of casesthey were with their parents or with peers(20.3%).Associations were found with attention,affective and anxiety problems(P < 0.001) in the participants who took longer to respond to the EMA app.Anxious and depressive states were highly interrelated(rho = 0.51,P < 0.001),as well as oppositional defiant problems and conduct problems(rho = 0.56,P < 0.001).Only in 6.2% of the situations the subjects perceived they had problems,mainly associated with inter-relational aspects with family,peers,boyfriends or girlfriends(31.2%).We also found moderate-high reliability on scales of satisfaction level on the context,on positive emotionality,and on the discomfort index associated with mental health problems.CONCLUSION EMA methodology using smartphones is a useful tool for understanding adolescents' daily dynamics.It achieved moderate-high reliability and accurately identified psychopathological manifestations experienced by community adolescents in their natural context.展开更多
Conducting a third-party assessment on targeted poverty alleviation can effectively avoid the disadvantage that local government plays as both athlete(i.e.performer of poverty alleviation work)and referee(i.e.referee ...Conducting a third-party assessment on targeted poverty alleviation can effectively avoid the disadvantage that local government plays as both athlete(i.e.performer of poverty alleviation work)and referee(i.e.referee for poverty alleviation effect)in poverty alleviation to ensure the truth of poverty alleviation,and therefore,it is an important part of the work to win the battle against poverty.Since 2016,the thirdparty assessment teams from colleges and universities for targeted poverty alleviation have achieved good results and performance in the assessment on both the effectiveness of targeted poverty alleviation work and the exit of poor counties in China,and they have made due contributions to the cause of poverty alleviation.However,as a new thing,third-party assessment obviously has some problems,mainly including the following:subjective understanding on the long-term nature of rural poverty alleviation is insufficient,and there is a lack of long-term considerations and related mechanism for third-party assessment;affected by policies and institutions,most of the existing third-party assessment teams from colleges and universities have not regarded third-party assessment of targeted poverty alleviation as a cause,and they lack the motivation to actively study the assessment business;and the third-party assessment staff from colleges and universities for targeted poverty alleviation have low stability and high mobility,not conducive to the long-term construction of assessment teams.In order to establish long-term poverty alleviation and prevention mechanisms,these issues must be addressed squarely and relevant countermeasures need to be taken actively to effectively build a long-term mechanism for building third-party assessment teams from colleges and universities for targeted poverty alleviation.展开更多
Aims: The purpose of this study was to clarify the thought processes of nurses in performing nursing assessment. Methods: The participants comprised 20 nurses working in a surgery ward. Patient information on a case, ...Aims: The purpose of this study was to clarify the thought processes of nurses in performing nursing assessment. Methods: The participants comprised 20 nurses working in a surgery ward. Patient information on a case, including presenting illness, vital signs, and other findings from admission until 09:00 on the day after surgery, was shown to the participants. After reading the case report, the nurses presented their assessments. Based on these assessments, nursing problems, patient strengths, and patient information were identified. Nursing problems and patient strengths were described by various words and sentences, and were classified according to similar content. Results: The number of nursing problems ranged from 1 to 8 and patient strengths from 0 to 6 for each nurse. The mean number of nursing problems was 4.7 ± 1.8, and the mean number of patient strengths was 2.2 ± 1.4. The main nursing problems were respiratory complications, postoperative wound pain, and anxiety, and the main patient strength was family cooperation. Patient information as evidence of respiratory complications included history of smoking, chest radiography results, postoperative vital signs, sputum color and properties. Patient information as evidence of postoperative wound pain included complaints of pain, epidural anesthesia, use of patient-controlled anesthesia and its effect. Patient information indicating family cooperation included family structure, preoperative visits by family, and presence of family while providing informed consent. Significant differences were seen in the number of nursing problems and patient strengths according to cognitive style. Conclusions: Postoperative complications were the nursing problems most commonly extracted by nurses. To clarify nursing problems and patient strengths, the nurses made assessments on the basis of information such as patient complaints, vital signs, and test results. However, extracted nursing problems and patient strengths were diverse, suggesting that nursing problems and patient strengths as determined by nurses differed between individual nurses.展开更多
In recent years, a large number of approaches to constrained multi-objective optimization problems(CMOPs) have been proposed, focusing on developing tweaked strategies and techniques for handling constraints. However,...In recent years, a large number of approaches to constrained multi-objective optimization problems(CMOPs) have been proposed, focusing on developing tweaked strategies and techniques for handling constraints. However, an overly finetuned strategy or technique might overfit some problem types,resulting in a lack of versatility. In this article, we propose a generic search strategy that performs an even search in a promising region. The promising region, determined by obtained feasible non-dominated solutions, possesses two general properties.First, the constrained Pareto front(CPF) is included in the promising region. Second, as the number of feasible solutions increases or the convergence performance(i.e., approximation to the CPF) of these solutions improves, the promising region shrinks. Then we develop a new strategy named even search,which utilizes the non-dominated solutions to accelerate convergence and escape from local optima, and the feasible solutions under a constraint relaxation condition to exploit and detect feasible regions. Finally, a diversity measure is adopted to make sure that the individuals in the population evenly cover the valuable areas in the promising region. Experimental results on 45 instances from four benchmark test suites and 14 real-world CMOPs have demonstrated that searching evenly in the promising region can achieve competitive performance and excellent versatility compared to 11 most state-of-the-art methods tailored for CMOPs.展开更多
文摘Real-world engineering design problems with complex objective functions under some constraints are relatively difficult problems to solve.Such design problems are widely experienced in many engineering fields,such as industry,automotive,construction,machinery,and interdisciplinary research.However,there are established optimization techniques that have shown effectiveness in addressing these types of issues.This research paper gives a comparative study of the implementation of seventeen new metaheuristic methods in order to optimize twelve distinct engineering design issues.The algorithms used in the study are listed as:transient search optimization(TSO),equilibrium optimizer(EO),grey wolf optimizer(GWO),moth-flame optimization(MFO),whale optimization algorithm(WOA),slimemould algorithm(SMA),harris hawks optimization(HHO),chimp optimization algorithm(COA),coot optimization algorithm(COOT),multi-verse optimization(MVO),arithmetic optimization algorithm(AOA),aquila optimizer(AO),sine cosine algorithm(SCA),smell agent optimization(SAO),and seagull optimization algorithm(SOA),pelican optimization algorithm(POA),and coati optimization algorithm(CA).As far as we know,there is no comparative analysis of recent and popular methods against the concrete conditions of real-world engineering problems.Hence,a remarkable research guideline is presented in the study for researchersworking in the fields of engineering and artificial intelligence,especiallywhen applying the optimization methods that have emerged recently.Future research can rely on this work for a literature search on comparisons of metaheuristic optimization methods in real-world problems under similar conditions.
基金Supported by Spain’s Ministry of Economy and Competitiveness,No.PSI 2013-46392-Pthe Agency for the Management of University and Research Grants from the Government of Catalonia,No.2014SGR1139
文摘AIM To analyze the viability of Ecological Momentary Assessment(EMA) for measuring the mental states associated with psychopathological problems in adolescents.METHODS In a sample of 110 adolescents,a sociodemographic data survey and an EMA Smartphone application over a oneweek period(five times each day),was developed to explore symptom profiles,everyday problems,coping strategies,and the contexts in which the events take place.RESULTS The positive response was 68.6%.Over 2250 prompts about mental states were recorded.In 53% of situations the smartphone was answered at home,25.5% of casesthey were with their parents or with peers(20.3%).Associations were found with attention,affective and anxiety problems(P < 0.001) in the participants who took longer to respond to the EMA app.Anxious and depressive states were highly interrelated(rho = 0.51,P < 0.001),as well as oppositional defiant problems and conduct problems(rho = 0.56,P < 0.001).Only in 6.2% of the situations the subjects perceived they had problems,mainly associated with inter-relational aspects with family,peers,boyfriends or girlfriends(31.2%).We also found moderate-high reliability on scales of satisfaction level on the context,on positive emotionality,and on the discomfort index associated with mental health problems.CONCLUSION EMA methodology using smartphones is a useful tool for understanding adolescents' daily dynamics.It achieved moderate-high reliability and accurately identified psychopathological manifestations experienced by community adolescents in their natural context.
基金Supported by Construction Project of Party Branch Secretary’s Studio of"Double Leader"Teachers in Colleges and Universities of the Ministry of Education of China(YCSD2019DJ003).
文摘Conducting a third-party assessment on targeted poverty alleviation can effectively avoid the disadvantage that local government plays as both athlete(i.e.performer of poverty alleviation work)and referee(i.e.referee for poverty alleviation effect)in poverty alleviation to ensure the truth of poverty alleviation,and therefore,it is an important part of the work to win the battle against poverty.Since 2016,the thirdparty assessment teams from colleges and universities for targeted poverty alleviation have achieved good results and performance in the assessment on both the effectiveness of targeted poverty alleviation work and the exit of poor counties in China,and they have made due contributions to the cause of poverty alleviation.However,as a new thing,third-party assessment obviously has some problems,mainly including the following:subjective understanding on the long-term nature of rural poverty alleviation is insufficient,and there is a lack of long-term considerations and related mechanism for third-party assessment;affected by policies and institutions,most of the existing third-party assessment teams from colleges and universities have not regarded third-party assessment of targeted poverty alleviation as a cause,and they lack the motivation to actively study the assessment business;and the third-party assessment staff from colleges and universities for targeted poverty alleviation have low stability and high mobility,not conducive to the long-term construction of assessment teams.In order to establish long-term poverty alleviation and prevention mechanisms,these issues must be addressed squarely and relevant countermeasures need to be taken actively to effectively build a long-term mechanism for building third-party assessment teams from colleges and universities for targeted poverty alleviation.
文摘Aims: The purpose of this study was to clarify the thought processes of nurses in performing nursing assessment. Methods: The participants comprised 20 nurses working in a surgery ward. Patient information on a case, including presenting illness, vital signs, and other findings from admission until 09:00 on the day after surgery, was shown to the participants. After reading the case report, the nurses presented their assessments. Based on these assessments, nursing problems, patient strengths, and patient information were identified. Nursing problems and patient strengths were described by various words and sentences, and were classified according to similar content. Results: The number of nursing problems ranged from 1 to 8 and patient strengths from 0 to 6 for each nurse. The mean number of nursing problems was 4.7 ± 1.8, and the mean number of patient strengths was 2.2 ± 1.4. The main nursing problems were respiratory complications, postoperative wound pain, and anxiety, and the main patient strength was family cooperation. Patient information as evidence of respiratory complications included history of smoking, chest radiography results, postoperative vital signs, sputum color and properties. Patient information as evidence of postoperative wound pain included complaints of pain, epidural anesthesia, use of patient-controlled anesthesia and its effect. Patient information indicating family cooperation included family structure, preoperative visits by family, and presence of family while providing informed consent. Significant differences were seen in the number of nursing problems and patient strengths according to cognitive style. Conclusions: Postoperative complications were the nursing problems most commonly extracted by nurses. To clarify nursing problems and patient strengths, the nurses made assessments on the basis of information such as patient complaints, vital signs, and test results. However, extracted nursing problems and patient strengths were diverse, suggesting that nursing problems and patient strengths as determined by nurses differed between individual nurses.
基金partly supported by the National Natural Science Foundation of China(62076225)。
文摘In recent years, a large number of approaches to constrained multi-objective optimization problems(CMOPs) have been proposed, focusing on developing tweaked strategies and techniques for handling constraints. However, an overly finetuned strategy or technique might overfit some problem types,resulting in a lack of versatility. In this article, we propose a generic search strategy that performs an even search in a promising region. The promising region, determined by obtained feasible non-dominated solutions, possesses two general properties.First, the constrained Pareto front(CPF) is included in the promising region. Second, as the number of feasible solutions increases or the convergence performance(i.e., approximation to the CPF) of these solutions improves, the promising region shrinks. Then we develop a new strategy named even search,which utilizes the non-dominated solutions to accelerate convergence and escape from local optima, and the feasible solutions under a constraint relaxation condition to exploit and detect feasible regions. Finally, a diversity measure is adopted to make sure that the individuals in the population evenly cover the valuable areas in the promising region. Experimental results on 45 instances from four benchmark test suites and 14 real-world CMOPs have demonstrated that searching evenly in the promising region can achieve competitive performance and excellent versatility compared to 11 most state-of-the-art methods tailored for CMOPs.
