BACKGROUND There is a lack of clinical evidence on the efficacy and safety of transitioning from a thrice-daily pre-mixed insulin or basal-prandial regimen to insulin degludec/aspart(IDegAsp)therapy,with insufficient ...BACKGROUND There is a lack of clinical evidence on the efficacy and safety of transitioning from a thrice-daily pre-mixed insulin or basal-prandial regimen to insulin degludec/aspart(IDegAsp)therapy,with insufficient data from the Chinese population.AIM To demonstrate the efficacy,safety,and treatment satisfaction associated with the transition to IDegAsp in type 2 diabetes mellitus(T2DM).METHODS In this 12-week open-label,non-randomized,single-center,pilot study,patients with T2DM receiving thrice-daily insulin or intensive insulin treatment were transitioned to twice-daily injections of insulin IDegAsp.Insulin doses,hemoglobin A1c(HbA1c)levels,fasting blood glucose(FBG),hypoglycemic events,a Diabetes Treatment Satisfaction Questionnaire,and other parameters were assessed at baseline and 12-weeks.RESULTS This study included 21 participants.A marked enhancement was observed in the FBG level(P=0.02),daily total insulin dose(P=0.03),and overall diabetes treatment satisfaction(P<0.01)in the participants who switched to IDegAsp.There was a decrease in HbA1c levels(7.6±1.1 vs 7.4±0.9,P=0.31)and the frequency of hypoglycemic events of those who switched to IDegAsp decreased,however,there was no statistically significant difference.CONCLUSION The present findings suggest that treatment with IDegAsp enhances clinical outcomes,particularly FBG levels,daily cumulative insulin dose,and overall satisfaction with diabetes treatment.展开更多
The multi-objective particle swarm optimization algorithm(MOPSO)is widely used to solve multi-objective optimization problems.In the article,amulti-objective particle swarm optimization algorithmbased on decomposition...The multi-objective particle swarm optimization algorithm(MOPSO)is widely used to solve multi-objective optimization problems.In the article,amulti-objective particle swarm optimization algorithmbased on decomposition and multi-selection strategy is proposed to improve the search efficiency.First,two update strategies based on decomposition are used to update the evolving population and external archive,respectively.Second,a multiselection strategy is designed.The first strategy is for the subspace without a non-dominated solution.Among the neighbor particles,the particle with the smallest penalty-based boundary intersection value is selected as the global optimal solution and the particle far away fromthe search particle and the global optimal solution is selected as the personal optimal solution to enhance global search.The second strategy is for the subspace with a non-dominated solution.In the neighbor particles,two particles are randomly selected,one as the global optimal solution and the other as the personal optimal solution,to enhance local search.The third strategy is for Pareto optimal front(PF)discontinuity,which is identified by the cumulative number of iterations of the subspace without non-dominated solutions.In the subsequent iteration,a new probability distribution is used to select from the remaining subspaces to search.Third,an adaptive inertia weight update strategy based on the dominated degree is designed to further improve the search efficiency.Finally,the proposed algorithmis compared with fivemulti-objective particle swarm optimization algorithms and five multi-objective evolutionary algorithms on 22 test problems.The results show that the proposed algorithm has better performance.展开更多
This study examines the effects of e-banking service quality on customer satisfaction in the Commercial Bank of Ethiopia(CBE)branches in Wolaita Sodo town.Using a causal research design,the study explored the cause-an...This study examines the effects of e-banking service quality on customer satisfaction in the Commercial Bank of Ethiopia(CBE)branches in Wolaita Sodo town.Using a causal research design,the study explored the cause-and-effect relationship between service quality dimensions and customer satisfaction.A sample of 385 customers was selected using convenience sampling,with 365 questionnaires returned.Data were collected through questionnaires and analyzed using SPSS V.21.The Cronbach’s alpha value of 0.72 from a pilot study confirmed reliability.Descriptive and inferential statistics,including multiple linear regression and one-way ANOVA,were employed.Results revealed that three service quality dimensions-responsiveness,reliability,and assurance-were statistically significant and positively influenced customer satisfaction,while two dimensions showed negative associations.The regression model’s coefficient of determination(R²)was 0.621,indicating a moderate explanatory power.Findings suggest that CBE managers and stakeholders should prioritize improving responsiveness,reliability,and assurance by providing prompt,dependable,and trustworthy services.Due to limitations in time and resources,this study was confined to CBE branches in Wolaita Sodo town;future research could expand to a national level or other service sectors.展开更多
This paper introduces the Surrogate-assisted Multi-objective Grey Wolf Optimizer(SMOGWO)as a novel methodology for addressing the complex problem of empty-heavy train allocation,with a focus on line utilization balanc...This paper introduces the Surrogate-assisted Multi-objective Grey Wolf Optimizer(SMOGWO)as a novel methodology for addressing the complex problem of empty-heavy train allocation,with a focus on line utilization balance.By integrating surrogate models to approximate the objective functions,SMOGWO significantly improves the efficiency and accuracy of the optimization process.The effectiveness of this approach is evaluated using the CEC2009 multi-objective test function suite,where SMOGWO achieves a superiority rate of 76.67%compared to other leading multi-objective algorithms.Furthermore,the practical applicability of SMOGWO is demonstrated through a case study on empty and heavy train allocation,which validates its ability to balance line capacity,minimize transportation costs,and optimize the technical combination of heavy trains.The research highlights SMOGWO's potential as a robust solution for optimization challenges in railway transportation,offering valuable contributions toward enhancing operational efficiency and promoting sustainable development in the sector.展开更多
In the independent electro-hydrogen system(IEHS)with hybrid energy storage(HESS),achieving optimal scheduling is crucial.Still,it presents a challenge due to the significant deviations in values ofmultiple optimizatio...In the independent electro-hydrogen system(IEHS)with hybrid energy storage(HESS),achieving optimal scheduling is crucial.Still,it presents a challenge due to the significant deviations in values ofmultiple optimization objective functions caused by their physical dimensions.These deviations seriously affect the scheduling process.A novel standardization fusion method has been established to address this issue by analyzing the variation process of each objective function’s values.The optimal scheduling results of IEHS with HESS indicate that the economy and overall energy loss can be improved 2–3 times under different optimization methods.The proposed method better balances all optimization objective functions and reduces the impact of their dimensionality.When the cost of BESS decreases by approximately 30%,its participation deepens by about 1 time.Moreover,if the price of the electrolyzer is less than 15¥/kWh or if the cost of the fuel cell drops below 4¥/kWh,their participation will increase substantially.This study aims to provide a more reasonable approach to solving multi-objective optimization problems.展开更多
Introduction: In recent times, satisfaction studies have gained importance in the health sector as a way to monitor services and products. The main aim of this study was to explore patient satisfaction with pharmaceut...Introduction: In recent times, satisfaction studies have gained importance in the health sector as a way to monitor services and products. The main aim of this study was to explore patient satisfaction with pharmaceutical care provided in Nampula healthcare centers. Material and Methods: The study was conducted at the 25 de Setembro, 1˚ de Maio, and Muhala-Expansão healthcare centers in Nampula. The sample consisted of 381 patients, with 127 from each center, selected for accessibility. Data were collected through a questionnaire with an internal consistency of 0.816, calculated using McDonald’s total Omega (ωt). The analysis included frequencies, descriptive statistics (mean and standard deviation), and inferential statistics like Binary Logistic Regression. Results: Overall satisfaction was 3.62 ± 0.627 on a scale of 1 to 5, or 69.8%. The binary regression associated a higher education level with dissatisfaction (COR 0.204, 95% CI: −2.752 to −0.427) and living in Marrere (COR 0.083, 95% CI: -5.098 to 0.120) and Muahivir-Expansão (COR 0.589, 95% CI: −1.824 to 0.767) with dissatisfaction as well. Conclusion: Satisfaction was generally high, mainly influenced by the availability of medicines and medical supplies, and less by other factors such as healthcare center accessibility, facility quality, and relationships with pharmacy professionals. Although variables like sex, religion, age, marital status, profession, occupation, and the number of pharmacy visits in the last five years were not statistically significant for general satisfaction in this study, they should be considered in future studies as they are often linked to pharmaceutical satisfaction.展开更多
This study examined the mediating role of job satisfaction in explaining the relationship between work-family conflict and life satisfaction among Turkish academicians.Employing a cross-sectional study design 645 acad...This study examined the mediating role of job satisfaction in explaining the relationship between work-family conflict and life satisfaction among Turkish academicians.Employing a cross-sectional study design 645 academicians aged between 24 and 65(male=45.1%,female=54.9%;professors=12.1%,associate professors=17.7%,assistant professors=28.2%,lecturers=17.8%,research assistants=24.2%;mean age and SD=39.72±8.94)completed the Job Satisfaction Scale,Life Satisfaction Scale,and the Work-Family Conflict Scale.They also self-reported their demographics.The findings from PROCESS MACRO analysis indicated work-family conflict to predict lower job satisfaction among academicians.Those with higher job satisfaction were also self-reported with higher life satisfaction.Lob satisfaction mediated the relationship between the academician’s work family conflict and life satisfaction for higher life satisfaction.The findings of this study indicate a need to implement work-family and life satisfaction measures to enhance job satisfaction among academics.展开更多
Multi-instance image generation remains a challenging task in the field of computer vision.While existing diffusionmodels demonstrate impressive fidelity in image generation,they often struggle with precisely controll...Multi-instance image generation remains a challenging task in the field of computer vision.While existing diffusionmodels demonstrate impressive fidelity in image generation,they often struggle with precisely controlling each object’s shape,pose,and size.Methods like layout-to-image and mask-to-image provide spatial guidance but frequently suffer from object shape distortion,overlaps,and poor consistency,particularly in complex scenes with multiple objects.To address these issues,we introduce PolyDiffusion,a contour-based diffusion framework that encodes each object’s contour as a boundary-coordinate sequence,decoupling object shapes and positions.This approach allows for better control over object geometry and spatial positioning,which is critical for achieving high-quality multiinstance generation.We formulate the training process as a multi-objective optimization problem,balancing three key objectives:a denoising diffusion loss to maintain overall image fidelity,a cross-attention contour alignment loss to ensure precise shape adherence,and a reward-guided denoising objective that minimizes the Fréchet distance to real images.In addition,the Object Space-Aware Attention module fuses contour tokens with visual features,while a prior-guided fusion mechanism utilizes inter-object spatial relationships and class semantics to enhance consistency across multiple objects.Experimental results on benchmark datasets such as COCO-Stuff and VOC-2012 demonstrate that PolyDiffusion significantly outperforms existing layout-to-image and mask-to-image methods,achieving notable improvements in both image quality and instance-level segmentation accuracy.The implementation of Poly Diffusion is available at https://github.com/YYYYYJS/PolyDiffusion(accessed on 06 August 2025).展开更多
In the last decade,space solar power satellites(SSPSs)have been conceived to support net-zero carbon emissions and have attracted considerable attention.Electric energy is transmitted to the ground via a microwave pow...In the last decade,space solar power satellites(SSPSs)have been conceived to support net-zero carbon emissions and have attracted considerable attention.Electric energy is transmitted to the ground via a microwave power beam,a technology known as microwave power transmission(MPT).Due to the vast transmission distance of tens of thousands of kilometers,the power transmitting antenna array must span up to 1 kilometer in diameter.At the same time,the size of the rectifying array on the ground should extend over a few kilometers.This makes the MPT system of SSPSs significantly larger than the existing aerospace engineering system.To design and operate a rational MPT system,comprehensive optimization is required.Taking the space MPT system engineering into consideration,a novel multi-objective optimization function is proposed and further analyzed.The multi-objective optimization problem is modeled mathematically.Beam collection efficiency(BCE)is the primary factor,followed by the thermal management capability.Some tapers,designed to solve the conflict between BCE and the thermal problem,are reviewed.In addition to these two factors,rectenna design complexity is included as a functional factor in the optimization objective.Weight coefficients are assigned to these factors to prioritize them.Radiating planar arrays with different aperture illumination fields are studied,and their performances are compared using the multi-objective optimization function.Transmitting array size,rectifying array size,transmission distance,and transmitted power remaine constant in various cases,ensuring fair comparisons.The analysis results show that the proposed optimization function is effective in optimizing and selecting the MPT system architecture.It is also noted that the multi-objective optimization function can be expanded to include other factors in the future.展开更多
Personalized nursing is a necessary means to improve the satisfaction of emergency pediatric nursing.It can enhance the responsiveness of nursing services,strengthen the emotional connection between nurses and patient...Personalized nursing is a necessary means to improve the satisfaction of emergency pediatric nursing.It can enhance the responsiveness of nursing services,strengthen the emotional connection between nurses and patients,and provide a theoretical basis for clinical practice.Therefore,in the context of the new era,it is necessary to deeply analyze the essence and connotation of personalized nursing,and analyze the existing deficiencies in current emergency pediatric personalized nursing,so as to develop effective improvement plans.Research shows that personalized nursing can significantly improve the satisfaction of emergency pediatric nursing,largely avoid nursing risks,and has strong clinical application value.This article summarizes and explores the research on the influence of personalized nursing on improving the satisfaction of emergency pediatric nursing,and puts forward corresponding views.展开更多
Ecological governance satisfaction is one of the important indicators to measure the ecological revitalization.The paper studies the satisfaction of rural households with ecological governance and its influencing fact...Ecological governance satisfaction is one of the important indicators to measure the ecological revitalization.The paper studies the satisfaction of rural households with ecological governance and its influencing factors in depth through questionnaire survey and other research methods.The empirical analysis conclusions are as follows:(1)at the level of personal influence factors,the satisfaction of rural households with ecological governance is significantly affected by the education level,age and family health status of rural households.However,factors such as gender,occupation,residence time and the number of family members have no significant effect on the behavior of rural households'ecological governance satisfaction.(2)At the level of economic development factors,the total annual family income,the total annual consumption and other dimensions have a significantly positive impact on the satisfaction of rural households with ecological governance.This shows that economic development is a key factor for environmental protection,and the behavior characteristics of the family could seriously affect the effectiveness of rural households'ecological governance satisfaction.(3)At the level of living environment factors,the situation of rural environmental pollution governance,infrastructure and medical conditions have a significant and positive impact on the behavior of rural households'ecological governance satisfaction.This shows that the living environment is also one of the important factors affecting the satisfaction of rural households with ecological governance.(4)At the level of ecological system factors,the three factors of government environmental protection investment,government management measures and government propaganda policies have a significantly positive impact on the behavior of rural households'ecological governance satisfaction.(5)At the level of ecological environment factors,the degree of awareness of ecological environment protection and the situation of environmental treatment have a significant correlation with the behavior of rural households'ecological governance satisfaction.(6)At the level of ecological culture factors,environmental protection education,ecological culture propaganda and rural civilization construction all have a significant and positive impact on the satisfaction of rural households with ecological governance.And relevant policy measures are put forward to improve the effectiveness of ecological governance.展开更多
Objective This study examines the sequential mediating roles of body pain and self-reported health in the association between sleep duration and self-reported life satisfaction among elderly Chinese adults.Methods Dat...Objective This study examines the sequential mediating roles of body pain and self-reported health in the association between sleep duration and self-reported life satisfaction among elderly Chinese adults.Methods Data from the fifth wave of the China Health and Retirement Longitudinal Survey(CHARLS)were used to analyse the relationships between sleep duration and body pain,self-reported health,and life satisfaction through logistic regression and Restricted Cubic Spline(RCS)analyses.The sequential mediation effects of body pain and self-reported health status were examined via chain mediation analysis.Results Logistic regression analysis showed that sleeping fewer than 6 hours or 6-7 hours was linked to higher risks of body pain,poor health,and dissatisfaction with life compared to sleeping 7-8 hours(all P<0.05).Additionally,those sleeping more than 9 hours also had increased risks of poor health and dissatisfaction with life compared to those sleeping 7-8 hours(all P<0.05).Chain mediation analysis showed that body pain and self-reported health status sequentially mediated 46.15%of the association between sleep duration and life satisfaction.Conclusion Body pain and self-reported health may shape the relationship between sleep duration and life satisfaction in elderly Chinese adults.展开更多
Impinging jet arrays are extensively used in numerous industrial operations,including the cooling of electronics,turbine blades,and other high-heat flux systems because of their superior heat transfer capabilities.Opt...Impinging jet arrays are extensively used in numerous industrial operations,including the cooling of electronics,turbine blades,and other high-heat flux systems because of their superior heat transfer capabilities.Optimizing the design and operating parameters of such systems is essential to enhance cooling efficiency and achieve uniform pressure distribution,which can lead to improved system performance and energy savings.This paper presents two multi-objective optimization methodologies for a turbulent air jet impingement cooling system.The governing equations are resolved employing the commercial computational fluid dynamics(CFD)software ANSYS Fluent v17.The study focuses on four controlling parameters:Reynolds number(Re),swirl number(S),jet-to-jet separation distance(Z/D),and impingement height(H/D).The effects of these parameters on heat transfer and impingement pressure distribution are investigated.Non-dominated Sorting Genetic Algorithm(NSGA-II)and Weighted Sum Method(WSM)are employed to optimize the controlling parameters for maximum cooling performance.The aim is to identify optimal design parameters and system configurations that enhance heat transfer efficiency while achieving a uniform impingement pressure distribution.These findings have practical implications for applications requiring efficient cooling.The optimized design achieved a 12.28%increase in convective heat transfer efficiency with a local Nusselt number of 113.05 compared to 100.69 in the reference design.Enhanced convective cooling and heat flux were observed in the optimized configuration,particularly in areas of direct jet impingement.Additionally,the optimized design maintained lower wall temperatures,demonstrating more effective thermal dissipation.展开更多
With the development of renewable energy technologies such as photovoltaics and wind power,it has become a research hotspot to improve the consumption rate of new energy and reduce energy costs through algorithm impro...With the development of renewable energy technologies such as photovoltaics and wind power,it has become a research hotspot to improve the consumption rate of new energy and reduce energy costs through algorithm improvement.To reduce the operational costs of micro-grid systems and the energy abandonment rate of renewable energy,while simultaneously enhancing user satisfaction on the demand side,this paper introduces an improvedmultiobjective Grey Wolf Optimizer based on Cauchy variation.The proposed approach incorporates a Cauchy variation strategy during the optimizer’s search phase to expand its exploration range and minimize the likelihood of becoming trapped in local optima.At the same time,adoptingmultiple energy storage methods to improve the consumption rate of renewable energy.Subsequently,under different energy balance orders,themulti-objective particle swarmalgorithm,multi-objective grey wolf optimizer,and Cauchy’s variant of the improvedmulti-objective grey wolf optimizer are used for example simulation,solving the Pareto solution set of the model and comparing.The analysis of the results reveals that,compared to the original optimizer,the improved optimizer decreases the daily cost by approximately 100 yuan,and reduces the energy abandonment rate to zero.Meanwhile,it enhances user satisfaction and ensures the stable operation of the micro-grid.展开更多
This paper analyzes the current research status of job satisfaction among obstetric nurses at home and abroad,including research methods,influencing factors,correlation relationships,and countermeasures to improve job...This paper analyzes the current research status of job satisfaction among obstetric nurses at home and abroad,including research methods,influencing factors,correlation relationships,and countermeasures to improve job satisfaction of obstetric nurses.It aims to provide a reference for subsequent studies on job satisfaction of obstetric nurses.展开更多
Objective:The objective of this study is to determine the effect of nurse-led instructional video(NLIV)on anxiety,satisfaction,and recovery among mothers admitted for cesarean section(CS).Materials and Methods:A quasi...Objective:The objective of this study is to determine the effect of nurse-led instructional video(NLIV)on anxiety,satisfaction,and recovery among mothers admitted for cesarean section(CS).Materials and Methods:A quasi-experimental design was carried out on the mothers scheduled for CS.Eighty participants were selected by a purposive sampling technique,which were divided(40 participants in each group)into an experimental group and a control group.Nurse-led informational video(NLIV)was shown to the experimental group,and routine care was provided for the control group.Modified hospital anxiety scale(HADS),scale for measuring maternal satisfaction in cesarean birth,and obstetric quality of recovery following cesarean delivery were used to assess anxiety,satisfaction,and recovery.Results:Both the experimental and control groups showed significant reductions in anxiety by the first postintervention day(P<0.001),with the experimental group experiencing a greater mean reduction(mean difference[MD]=4.37)than the control group(MD=3.35)but the intergroup difference was not statistically significant(P>0.05).The experimental group reported significantly higher satisfaction scores(175.55±9.42)on the 3rd postoperative day compared to the control group(151.93±14.89;P<0.001).Similarly,the experimental group’s recovery scores(79.90±6.24)were considerably higher than those of the control group(62.45±15.18;P<0.001).On the 3rd postintervention day,satisfaction was significantly associated with age(P<0.001),and recovery with gravidity(P<0.05).Conclusions:NLIV can be used in the preoperative period to reduce anxiety related to CS and to improve satisfaction and recovery after the CS.展开更多
With Beijing Huilongguan Sports and Cultural Park as the research object,this study was conducted to investigate public service satisfaction in the park by the Importance-Performance Analysis(IPA)method.A questionnair...With Beijing Huilongguan Sports and Cultural Park as the research object,this study was conducted to investigate public service satisfaction in the park by the Importance-Performance Analysis(IPA)method.A questionnaire covering six dimensions,including public transportation,sanitation and environment,and supporting facility construction,was designed.A total of 208 valid samples were collected,and SPSS was employed for reliability and validity tests as well as IPA analysis.The findings were as follows:①Visitors were generally quite satisfied with the overall public services in Huilongguan Sports and Cultural Park.②The highest satisfaction levels were observed in sanitation and environment services and the sports and cultural atmosphere,while lower satisfaction was noted for supporting facility construction and public information services.③The advantage enhancement zone includes sanitation and environment services and sports and cultural atmosphere;and the continuous maintenance zone includes public transportation services and security management amd maintenance;the subsequent opportunity zone includes supporting facility construction and public information services;and there are no dimensions in the urgent improvement zone.The study recommends strengthening the service connotations from three aspects:enhancing facilities with sports as the core,optimizing services with a people-centered approach,and upgrading the information platform through technological efficiency.Additionally,a multi-stakeholder collaborative mechanism involving the government in coordinating policy resources,the operator in improving implementation efficiency,and the public participating in supervision and evaluation is proposed to drive the enhancement of public service quality at Huilongguan Sports and Cultural Park.展开更多
This study examines how training opportunities influence teachers’job satisfaction,emphasizing the mediating effect of AI self-efficacy among primary and secondary school teachers in Wuhan,China.Current research empl...This study examines how training opportunities influence teachers’job satisfaction,emphasizing the mediating effect of AI self-efficacy among primary and secondary school teachers in Wuhan,China.Current research employed a quantitative,cross-sectional design.Data were collected using an online questionnaire from 655 primary and secondary school teachers in Wuhan.Structural equation modelling(PLS-SEM)was utilized for data analysis.Results confirmed significant positive relationships between training opportunities and both AI self-efficacy and job satisfaction.Besides,AI self-efficacy was found to significantly mediate the relationship between training opportunities and job satisfaction.This study contributes to the body of knowledge by empirically showed the relatively unexplored psychological pathway(AI self-efficacy)linking training opportunities to job satisfaction within AI-intensive educational contexts.The findings enhance understanding of how structured training in AI can positively influence teachers’attitudes and job-related outcomes.Educational policymakers and administrators can utilise these findings to develop specialised training programs,thereby improving teacher self-efficacy,job satisfaction and overall effectiveness in responding to technology changes.展开更多
Despite the increasing enrolment in higher education in sub-Saharan Africa,the systematic understanding of students’academic major satisfaction in these contexts has not received significant research interest.We exam...Despite the increasing enrolment in higher education in sub-Saharan Africa,the systematic understanding of students’academic major satisfaction in these contexts has not received significant research interest.We examined the academic major satisfaction of students in the Nigerian context by the sense of autonomy,competence,and relatedness.Participants were 452 students from Fine and Applied Arts(FAA,n=207,32.9%female,mean age=20.86,SD=3.40)and philosophy(n=245,42.9%female,mean age=21.43,SD=3.38 years)at a large Nigerian public university.They completed the Basic Needs Satisfaction Scale and the Academic Major Satisfaction Scale,as well as a socio-demographic questionnaire.Results following regression analysis and post-hoc t-tests indicated that while FAA students were more satisfied with their major than those in philosophy overall.Philosophy students reported significantly higher relatedness than the FAA students.FAA students did not rate autonomy and competence higher than Philosophy students.Within academic majors,high autonomy was associated with greater academic major satisfaction for only FAA students,whereas FAA and Philosophy students with high competence and relatedness reported increased academic major satisfaction.Findings suggest students self-determine their academic major satisfaction in the Nigerian educational setting by primarily autonomy and competence considerations.展开更多
This study proposes a multi-objective optimization framework for electric winches in fiber-reinforced plastic(FRP)fishing vessels to address critical limitations of conventional designs,including excessive weight,mate...This study proposes a multi-objective optimization framework for electric winches in fiber-reinforced plastic(FRP)fishing vessels to address critical limitations of conventional designs,including excessive weight,material inefficiency,and performance redundancy.By integrating surrogate modeling techniques with a multi-objective genetic algorithm(MOGA),we have developed a systematic approach that encompasses parametric modeling,finite element analysis under extreme operational conditions,and multi-fidelity performance evaluation.Through a 10-t electric winch case study,the methodology’s effectiveness is demonstrated via parametric characterization of structural integrity,stiffness behavior,and mass distribution.The comparative analysis identified optimal surrogate models for predicting key performance metrics,which enabled the construction of a robust multi-objective optimization model.The MOGA-derived Pareto solutions produced a design configuration achieving 7.86%mass reduction,2.01%safety factor improvement,and 23.97%deformation mitigation.Verification analysis confirmed the optimization scheme’s reliability in balancing conflicting design requirements.This research establishes a generalized framework for marine deck machinery modernization,particularly addressing the structural compatibility challenges in FRP vessel retrofitting.The proposed methodology demonstrates significant potential for facilitating sustainable upgrades of fishing vessel equipment through systematic performance optimization.展开更多
基金Supported by CAMS Innovation Fund for Medical Sciences,No.2023-I2M-C&T-B-043National High Level Hospital Clinical Research Funding,No.2022-PUMCH-B-015+1 种基金CAMS Innovation Fund for Medical Sciences,No.2021-1-12M-002Beijing Municipal Natural Science Foundation,No.M22014.
文摘BACKGROUND There is a lack of clinical evidence on the efficacy and safety of transitioning from a thrice-daily pre-mixed insulin or basal-prandial regimen to insulin degludec/aspart(IDegAsp)therapy,with insufficient data from the Chinese population.AIM To demonstrate the efficacy,safety,and treatment satisfaction associated with the transition to IDegAsp in type 2 diabetes mellitus(T2DM).METHODS In this 12-week open-label,non-randomized,single-center,pilot study,patients with T2DM receiving thrice-daily insulin or intensive insulin treatment were transitioned to twice-daily injections of insulin IDegAsp.Insulin doses,hemoglobin A1c(HbA1c)levels,fasting blood glucose(FBG),hypoglycemic events,a Diabetes Treatment Satisfaction Questionnaire,and other parameters were assessed at baseline and 12-weeks.RESULTS This study included 21 participants.A marked enhancement was observed in the FBG level(P=0.02),daily total insulin dose(P=0.03),and overall diabetes treatment satisfaction(P<0.01)in the participants who switched to IDegAsp.There was a decrease in HbA1c levels(7.6±1.1 vs 7.4±0.9,P=0.31)and the frequency of hypoglycemic events of those who switched to IDegAsp decreased,however,there was no statistically significant difference.CONCLUSION The present findings suggest that treatment with IDegAsp enhances clinical outcomes,particularly FBG levels,daily cumulative insulin dose,and overall satisfaction with diabetes treatment.
基金supported by National Natural Science Foundations of China(nos.12271326,62102304,61806120,61502290,61672334,61673251)China Postdoctoral Science Foundation(no.2015M582606)+2 种基金Industrial Research Project of Science and Technology in Shaanxi Province(nos.2015GY016,2017JQ6063)Fundamental Research Fund for the Central Universities(no.GK202003071)Natural Science Basic Research Plan in Shaanxi Province of China(no.2022JM-354).
文摘The multi-objective particle swarm optimization algorithm(MOPSO)is widely used to solve multi-objective optimization problems.In the article,amulti-objective particle swarm optimization algorithmbased on decomposition and multi-selection strategy is proposed to improve the search efficiency.First,two update strategies based on decomposition are used to update the evolving population and external archive,respectively.Second,a multiselection strategy is designed.The first strategy is for the subspace without a non-dominated solution.Among the neighbor particles,the particle with the smallest penalty-based boundary intersection value is selected as the global optimal solution and the particle far away fromthe search particle and the global optimal solution is selected as the personal optimal solution to enhance global search.The second strategy is for the subspace with a non-dominated solution.In the neighbor particles,two particles are randomly selected,one as the global optimal solution and the other as the personal optimal solution,to enhance local search.The third strategy is for Pareto optimal front(PF)discontinuity,which is identified by the cumulative number of iterations of the subspace without non-dominated solutions.In the subsequent iteration,a new probability distribution is used to select from the remaining subspaces to search.Third,an adaptive inertia weight update strategy based on the dominated degree is designed to further improve the search efficiency.Finally,the proposed algorithmis compared with fivemulti-objective particle swarm optimization algorithms and five multi-objective evolutionary algorithms on 22 test problems.The results show that the proposed algorithm has better performance.
文摘This study examines the effects of e-banking service quality on customer satisfaction in the Commercial Bank of Ethiopia(CBE)branches in Wolaita Sodo town.Using a causal research design,the study explored the cause-and-effect relationship between service quality dimensions and customer satisfaction.A sample of 385 customers was selected using convenience sampling,with 365 questionnaires returned.Data were collected through questionnaires and analyzed using SPSS V.21.The Cronbach’s alpha value of 0.72 from a pilot study confirmed reliability.Descriptive and inferential statistics,including multiple linear regression and one-way ANOVA,were employed.Results revealed that three service quality dimensions-responsiveness,reliability,and assurance-were statistically significant and positively influenced customer satisfaction,while two dimensions showed negative associations.The regression model’s coefficient of determination(R²)was 0.621,indicating a moderate explanatory power.Findings suggest that CBE managers and stakeholders should prioritize improving responsiveness,reliability,and assurance by providing prompt,dependable,and trustworthy services.Due to limitations in time and resources,this study was confined to CBE branches in Wolaita Sodo town;future research could expand to a national level or other service sectors.
基金supported by the National Natural Science Foundation of China(Project No.5217232152102391)+2 种基金Sichuan Province Science and Technology Innovation Talent Project(2024JDRC0020)China Shenhua Energy Company Limited Technology Project(GJNY-22-7/2300-K1220053)Key science and technology projects in the transportation industry of the Ministry of Transport(2022-ZD7-132).
文摘This paper introduces the Surrogate-assisted Multi-objective Grey Wolf Optimizer(SMOGWO)as a novel methodology for addressing the complex problem of empty-heavy train allocation,with a focus on line utilization balance.By integrating surrogate models to approximate the objective functions,SMOGWO significantly improves the efficiency and accuracy of the optimization process.The effectiveness of this approach is evaluated using the CEC2009 multi-objective test function suite,where SMOGWO achieves a superiority rate of 76.67%compared to other leading multi-objective algorithms.Furthermore,the practical applicability of SMOGWO is demonstrated through a case study on empty and heavy train allocation,which validates its ability to balance line capacity,minimize transportation costs,and optimize the technical combination of heavy trains.The research highlights SMOGWO's potential as a robust solution for optimization challenges in railway transportation,offering valuable contributions toward enhancing operational efficiency and promoting sustainable development in the sector.
基金sponsored by R&D Program of Beijing Municipal Education Commission(KM202410009013).
文摘In the independent electro-hydrogen system(IEHS)with hybrid energy storage(HESS),achieving optimal scheduling is crucial.Still,it presents a challenge due to the significant deviations in values ofmultiple optimization objective functions caused by their physical dimensions.These deviations seriously affect the scheduling process.A novel standardization fusion method has been established to address this issue by analyzing the variation process of each objective function’s values.The optimal scheduling results of IEHS with HESS indicate that the economy and overall energy loss can be improved 2–3 times under different optimization methods.The proposed method better balances all optimization objective functions and reduces the impact of their dimensionality.When the cost of BESS decreases by approximately 30%,its participation deepens by about 1 time.Moreover,if the price of the electrolyzer is less than 15¥/kWh or if the cost of the fuel cell drops below 4¥/kWh,their participation will increase substantially.This study aims to provide a more reasonable approach to solving multi-objective optimization problems.
文摘Introduction: In recent times, satisfaction studies have gained importance in the health sector as a way to monitor services and products. The main aim of this study was to explore patient satisfaction with pharmaceutical care provided in Nampula healthcare centers. Material and Methods: The study was conducted at the 25 de Setembro, 1˚ de Maio, and Muhala-Expansão healthcare centers in Nampula. The sample consisted of 381 patients, with 127 from each center, selected for accessibility. Data were collected through a questionnaire with an internal consistency of 0.816, calculated using McDonald’s total Omega (ωt). The analysis included frequencies, descriptive statistics (mean and standard deviation), and inferential statistics like Binary Logistic Regression. Results: Overall satisfaction was 3.62 ± 0.627 on a scale of 1 to 5, or 69.8%. The binary regression associated a higher education level with dissatisfaction (COR 0.204, 95% CI: −2.752 to −0.427) and living in Marrere (COR 0.083, 95% CI: -5.098 to 0.120) and Muahivir-Expansão (COR 0.589, 95% CI: −1.824 to 0.767) with dissatisfaction as well. Conclusion: Satisfaction was generally high, mainly influenced by the availability of medicines and medical supplies, and less by other factors such as healthcare center accessibility, facility quality, and relationships with pharmacy professionals. Although variables like sex, religion, age, marital status, profession, occupation, and the number of pharmacy visits in the last five years were not statistically significant for general satisfaction in this study, they should be considered in future studies as they are often linked to pharmaceutical satisfaction.
文摘This study examined the mediating role of job satisfaction in explaining the relationship between work-family conflict and life satisfaction among Turkish academicians.Employing a cross-sectional study design 645 academicians aged between 24 and 65(male=45.1%,female=54.9%;professors=12.1%,associate professors=17.7%,assistant professors=28.2%,lecturers=17.8%,research assistants=24.2%;mean age and SD=39.72±8.94)completed the Job Satisfaction Scale,Life Satisfaction Scale,and the Work-Family Conflict Scale.They also self-reported their demographics.The findings from PROCESS MACRO analysis indicated work-family conflict to predict lower job satisfaction among academicians.Those with higher job satisfaction were also self-reported with higher life satisfaction.Lob satisfaction mediated the relationship between the academician’s work family conflict and life satisfaction for higher life satisfaction.The findings of this study indicate a need to implement work-family and life satisfaction measures to enhance job satisfaction among academics.
基金supported in part by the Scientific Research Fund of National Natural Science Foundation of China(Grant No.62372168)the Hunan Provincial Natural Science Foundation of China(Grant No.2023JJ30266)+2 种基金the Research Project on teaching reform in Hunan province(No.HNJG-2022-0791)the Hunan University of Science and Technology(No.2022-44-8)the National Social Science Funds of China(19BZX044).
文摘Multi-instance image generation remains a challenging task in the field of computer vision.While existing diffusionmodels demonstrate impressive fidelity in image generation,they often struggle with precisely controlling each object’s shape,pose,and size.Methods like layout-to-image and mask-to-image provide spatial guidance but frequently suffer from object shape distortion,overlaps,and poor consistency,particularly in complex scenes with multiple objects.To address these issues,we introduce PolyDiffusion,a contour-based diffusion framework that encodes each object’s contour as a boundary-coordinate sequence,decoupling object shapes and positions.This approach allows for better control over object geometry and spatial positioning,which is critical for achieving high-quality multiinstance generation.We formulate the training process as a multi-objective optimization problem,balancing three key objectives:a denoising diffusion loss to maintain overall image fidelity,a cross-attention contour alignment loss to ensure precise shape adherence,and a reward-guided denoising objective that minimizes the Fréchet distance to real images.In addition,the Object Space-Aware Attention module fuses contour tokens with visual features,while a prior-guided fusion mechanism utilizes inter-object spatial relationships and class semantics to enhance consistency across multiple objects.Experimental results on benchmark datasets such as COCO-Stuff and VOC-2012 demonstrate that PolyDiffusion significantly outperforms existing layout-to-image and mask-to-image methods,achieving notable improvements in both image quality and instance-level segmentation accuracy.The implementation of Poly Diffusion is available at https://github.com/YYYYYJS/PolyDiffusion(accessed on 06 August 2025).
文摘In the last decade,space solar power satellites(SSPSs)have been conceived to support net-zero carbon emissions and have attracted considerable attention.Electric energy is transmitted to the ground via a microwave power beam,a technology known as microwave power transmission(MPT).Due to the vast transmission distance of tens of thousands of kilometers,the power transmitting antenna array must span up to 1 kilometer in diameter.At the same time,the size of the rectifying array on the ground should extend over a few kilometers.This makes the MPT system of SSPSs significantly larger than the existing aerospace engineering system.To design and operate a rational MPT system,comprehensive optimization is required.Taking the space MPT system engineering into consideration,a novel multi-objective optimization function is proposed and further analyzed.The multi-objective optimization problem is modeled mathematically.Beam collection efficiency(BCE)is the primary factor,followed by the thermal management capability.Some tapers,designed to solve the conflict between BCE and the thermal problem,are reviewed.In addition to these two factors,rectenna design complexity is included as a functional factor in the optimization objective.Weight coefficients are assigned to these factors to prioritize them.Radiating planar arrays with different aperture illumination fields are studied,and their performances are compared using the multi-objective optimization function.Transmitting array size,rectifying array size,transmission distance,and transmitted power remaine constant in various cases,ensuring fair comparisons.The analysis results show that the proposed optimization function is effective in optimizing and selecting the MPT system architecture.It is also noted that the multi-objective optimization function can be expanded to include other factors in the future.
文摘Personalized nursing is a necessary means to improve the satisfaction of emergency pediatric nursing.It can enhance the responsiveness of nursing services,strengthen the emotional connection between nurses and patients,and provide a theoretical basis for clinical practice.Therefore,in the context of the new era,it is necessary to deeply analyze the essence and connotation of personalized nursing,and analyze the existing deficiencies in current emergency pediatric personalized nursing,so as to develop effective improvement plans.Research shows that personalized nursing can significantly improve the satisfaction of emergency pediatric nursing,largely avoid nursing risks,and has strong clinical application value.This article summarizes and explores the research on the influence of personalized nursing on improving the satisfaction of emergency pediatric nursing,and puts forward corresponding views.
基金Supported by Hunan Social Science Foundation Project(21YBX021)Hunan Natural Science Foundation Project(2024JJ7234).
文摘Ecological governance satisfaction is one of the important indicators to measure the ecological revitalization.The paper studies the satisfaction of rural households with ecological governance and its influencing factors in depth through questionnaire survey and other research methods.The empirical analysis conclusions are as follows:(1)at the level of personal influence factors,the satisfaction of rural households with ecological governance is significantly affected by the education level,age and family health status of rural households.However,factors such as gender,occupation,residence time and the number of family members have no significant effect on the behavior of rural households'ecological governance satisfaction.(2)At the level of economic development factors,the total annual family income,the total annual consumption and other dimensions have a significantly positive impact on the satisfaction of rural households with ecological governance.This shows that economic development is a key factor for environmental protection,and the behavior characteristics of the family could seriously affect the effectiveness of rural households'ecological governance satisfaction.(3)At the level of living environment factors,the situation of rural environmental pollution governance,infrastructure and medical conditions have a significant and positive impact on the behavior of rural households'ecological governance satisfaction.This shows that the living environment is also one of the important factors affecting the satisfaction of rural households with ecological governance.(4)At the level of ecological system factors,the three factors of government environmental protection investment,government management measures and government propaganda policies have a significantly positive impact on the behavior of rural households'ecological governance satisfaction.(5)At the level of ecological environment factors,the degree of awareness of ecological environment protection and the situation of environmental treatment have a significant correlation with the behavior of rural households'ecological governance satisfaction.(6)At the level of ecological culture factors,environmental protection education,ecological culture propaganda and rural civilization construction all have a significant and positive impact on the satisfaction of rural households with ecological governance.And relevant policy measures are put forward to improve the effectiveness of ecological governance.
基金supported by This work was supported by the Ministry of Science and Technology of the People’s Republic of China(STI2030-Major Projects2021ZD0201900)。
文摘Objective This study examines the sequential mediating roles of body pain and self-reported health in the association between sleep duration and self-reported life satisfaction among elderly Chinese adults.Methods Data from the fifth wave of the China Health and Retirement Longitudinal Survey(CHARLS)were used to analyse the relationships between sleep duration and body pain,self-reported health,and life satisfaction through logistic regression and Restricted Cubic Spline(RCS)analyses.The sequential mediation effects of body pain and self-reported health status were examined via chain mediation analysis.Results Logistic regression analysis showed that sleeping fewer than 6 hours or 6-7 hours was linked to higher risks of body pain,poor health,and dissatisfaction with life compared to sleeping 7-8 hours(all P<0.05).Additionally,those sleeping more than 9 hours also had increased risks of poor health and dissatisfaction with life compared to those sleeping 7-8 hours(all P<0.05).Chain mediation analysis showed that body pain and self-reported health status sequentially mediated 46.15%of the association between sleep duration and life satisfaction.Conclusion Body pain and self-reported health may shape the relationship between sleep duration and life satisfaction in elderly Chinese adults.
文摘Impinging jet arrays are extensively used in numerous industrial operations,including the cooling of electronics,turbine blades,and other high-heat flux systems because of their superior heat transfer capabilities.Optimizing the design and operating parameters of such systems is essential to enhance cooling efficiency and achieve uniform pressure distribution,which can lead to improved system performance and energy savings.This paper presents two multi-objective optimization methodologies for a turbulent air jet impingement cooling system.The governing equations are resolved employing the commercial computational fluid dynamics(CFD)software ANSYS Fluent v17.The study focuses on four controlling parameters:Reynolds number(Re),swirl number(S),jet-to-jet separation distance(Z/D),and impingement height(H/D).The effects of these parameters on heat transfer and impingement pressure distribution are investigated.Non-dominated Sorting Genetic Algorithm(NSGA-II)and Weighted Sum Method(WSM)are employed to optimize the controlling parameters for maximum cooling performance.The aim is to identify optimal design parameters and system configurations that enhance heat transfer efficiency while achieving a uniform impingement pressure distribution.These findings have practical implications for applications requiring efficient cooling.The optimized design achieved a 12.28%increase in convective heat transfer efficiency with a local Nusselt number of 113.05 compared to 100.69 in the reference design.Enhanced convective cooling and heat flux were observed in the optimized configuration,particularly in areas of direct jet impingement.Additionally,the optimized design maintained lower wall temperatures,demonstrating more effective thermal dissipation.
基金supported by the Open Fund of Guangxi Key Laboratory of Building New Energy and Energy Conservation(Project Number:Guike Energy 17-J-21-3).
文摘With the development of renewable energy technologies such as photovoltaics and wind power,it has become a research hotspot to improve the consumption rate of new energy and reduce energy costs through algorithm improvement.To reduce the operational costs of micro-grid systems and the energy abandonment rate of renewable energy,while simultaneously enhancing user satisfaction on the demand side,this paper introduces an improvedmultiobjective Grey Wolf Optimizer based on Cauchy variation.The proposed approach incorporates a Cauchy variation strategy during the optimizer’s search phase to expand its exploration range and minimize the likelihood of becoming trapped in local optima.At the same time,adoptingmultiple energy storage methods to improve the consumption rate of renewable energy.Subsequently,under different energy balance orders,themulti-objective particle swarmalgorithm,multi-objective grey wolf optimizer,and Cauchy’s variant of the improvedmulti-objective grey wolf optimizer are used for example simulation,solving the Pareto solution set of the model and comparing.The analysis of the results reveals that,compared to the original optimizer,the improved optimizer decreases the daily cost by approximately 100 yuan,and reduces the energy abandonment rate to zero.Meanwhile,it enhances user satisfaction and ensures the stable operation of the micro-grid.
文摘This paper analyzes the current research status of job satisfaction among obstetric nurses at home and abroad,including research methods,influencing factors,correlation relationships,and countermeasures to improve job satisfaction of obstetric nurses.It aims to provide a reference for subsequent studies on job satisfaction of obstetric nurses.
文摘Objective:The objective of this study is to determine the effect of nurse-led instructional video(NLIV)on anxiety,satisfaction,and recovery among mothers admitted for cesarean section(CS).Materials and Methods:A quasi-experimental design was carried out on the mothers scheduled for CS.Eighty participants were selected by a purposive sampling technique,which were divided(40 participants in each group)into an experimental group and a control group.Nurse-led informational video(NLIV)was shown to the experimental group,and routine care was provided for the control group.Modified hospital anxiety scale(HADS),scale for measuring maternal satisfaction in cesarean birth,and obstetric quality of recovery following cesarean delivery were used to assess anxiety,satisfaction,and recovery.Results:Both the experimental and control groups showed significant reductions in anxiety by the first postintervention day(P<0.001),with the experimental group experiencing a greater mean reduction(mean difference[MD]=4.37)than the control group(MD=3.35)but the intergroup difference was not statistically significant(P>0.05).The experimental group reported significantly higher satisfaction scores(175.55±9.42)on the 3rd postoperative day compared to the control group(151.93±14.89;P<0.001).Similarly,the experimental group’s recovery scores(79.90±6.24)were considerably higher than those of the control group(62.45±15.18;P<0.001).On the 3rd postintervention day,satisfaction was significantly associated with age(P<0.001),and recovery with gravidity(P<0.05).Conclusions:NLIV can be used in the preoperative period to reduce anxiety related to CS and to improve satisfaction and recovery after the CS.
基金Sponsored by The Youth Project of National Social Science Foundation of China(21CTY007)Special Fund for Basic Scientific Research Business Expenses of Central Universities(2024DAWH008).
文摘With Beijing Huilongguan Sports and Cultural Park as the research object,this study was conducted to investigate public service satisfaction in the park by the Importance-Performance Analysis(IPA)method.A questionnaire covering six dimensions,including public transportation,sanitation and environment,and supporting facility construction,was designed.A total of 208 valid samples were collected,and SPSS was employed for reliability and validity tests as well as IPA analysis.The findings were as follows:①Visitors were generally quite satisfied with the overall public services in Huilongguan Sports and Cultural Park.②The highest satisfaction levels were observed in sanitation and environment services and the sports and cultural atmosphere,while lower satisfaction was noted for supporting facility construction and public information services.③The advantage enhancement zone includes sanitation and environment services and sports and cultural atmosphere;and the continuous maintenance zone includes public transportation services and security management amd maintenance;the subsequent opportunity zone includes supporting facility construction and public information services;and there are no dimensions in the urgent improvement zone.The study recommends strengthening the service connotations from three aspects:enhancing facilities with sports as the core,optimizing services with a people-centered approach,and upgrading the information platform through technological efficiency.Additionally,a multi-stakeholder collaborative mechanism involving the government in coordinating policy resources,the operator in improving implementation efficiency,and the public participating in supervision and evaluation is proposed to drive the enhancement of public service quality at Huilongguan Sports and Cultural Park.
文摘This study examines how training opportunities influence teachers’job satisfaction,emphasizing the mediating effect of AI self-efficacy among primary and secondary school teachers in Wuhan,China.Current research employed a quantitative,cross-sectional design.Data were collected using an online questionnaire from 655 primary and secondary school teachers in Wuhan.Structural equation modelling(PLS-SEM)was utilized for data analysis.Results confirmed significant positive relationships between training opportunities and both AI self-efficacy and job satisfaction.Besides,AI self-efficacy was found to significantly mediate the relationship between training opportunities and job satisfaction.This study contributes to the body of knowledge by empirically showed the relatively unexplored psychological pathway(AI self-efficacy)linking training opportunities to job satisfaction within AI-intensive educational contexts.The findings enhance understanding of how structured training in AI can positively influence teachers’attitudes and job-related outcomes.Educational policymakers and administrators can utilise these findings to develop specialised training programs,thereby improving teacher self-efficacy,job satisfaction and overall effectiveness in responding to technology changes.
文摘Despite the increasing enrolment in higher education in sub-Saharan Africa,the systematic understanding of students’academic major satisfaction in these contexts has not received significant research interest.We examined the academic major satisfaction of students in the Nigerian context by the sense of autonomy,competence,and relatedness.Participants were 452 students from Fine and Applied Arts(FAA,n=207,32.9%female,mean age=20.86,SD=3.40)and philosophy(n=245,42.9%female,mean age=21.43,SD=3.38 years)at a large Nigerian public university.They completed the Basic Needs Satisfaction Scale and the Academic Major Satisfaction Scale,as well as a socio-demographic questionnaire.Results following regression analysis and post-hoc t-tests indicated that while FAA students were more satisfied with their major than those in philosophy overall.Philosophy students reported significantly higher relatedness than the FAA students.FAA students did not rate autonomy and competence higher than Philosophy students.Within academic majors,high autonomy was associated with greater academic major satisfaction for only FAA students,whereas FAA and Philosophy students with high competence and relatedness reported increased academic major satisfaction.Findings suggest students self-determine their academic major satisfaction in the Nigerian educational setting by primarily autonomy and competence considerations.
基金supported by the Basic Public Welfare Research Program of Zhejiang Province(No.LGN22E050005).
文摘This study proposes a multi-objective optimization framework for electric winches in fiber-reinforced plastic(FRP)fishing vessels to address critical limitations of conventional designs,including excessive weight,material inefficiency,and performance redundancy.By integrating surrogate modeling techniques with a multi-objective genetic algorithm(MOGA),we have developed a systematic approach that encompasses parametric modeling,finite element analysis under extreme operational conditions,and multi-fidelity performance evaluation.Through a 10-t electric winch case study,the methodology’s effectiveness is demonstrated via parametric characterization of structural integrity,stiffness behavior,and mass distribution.The comparative analysis identified optimal surrogate models for predicting key performance metrics,which enabled the construction of a robust multi-objective optimization model.The MOGA-derived Pareto solutions produced a design configuration achieving 7.86%mass reduction,2.01%safety factor improvement,and 23.97%deformation mitigation.Verification analysis confirmed the optimization scheme’s reliability in balancing conflicting design requirements.This research establishes a generalized framework for marine deck machinery modernization,particularly addressing the structural compatibility challenges in FRP vessel retrofitting.The proposed methodology demonstrates significant potential for facilitating sustainable upgrades of fishing vessel equipment through systematic performance optimization.
