Objective:To gain insight into the potential factors that may cause perceived stress and anxiety in simulation education.Methods:A secondary qualitative analysis study using qualitative thematic synthesis.A local high...Objective:To gain insight into the potential factors that may cause perceived stress and anxiety in simulation education.Methods:A secondary qualitative analysis study using qualitative thematic synthesis.A local higher education institution that conducted pre-registration nursing programs.A total of 189 undergraduate nursing students that were never attained any clinical placement prior to the parent study.Focus group interviews were conducted to collect data that were then transcribed and analyzed through the qualitative thematic synthesis approach to develop themes.Results:Three themes were emerged from the participants’simulation experiences in terms of peoples(the observers vs the observed),actions(the prepared vs the unprepared),and settings(the realism vs the simulation).Conclusions:By considering and reviewing the current design and development of the simulation practice,the findings of this study contribute to the body of knowledge with valuable insights on stress and anxiety that may affect students’learning in simulation.展开更多
Objective:To explore the application effect of high-fidelity simulation teaching in the training of emergency management for difficult airways among anesthesia nursing students,providing practical references for enhan...Objective:To explore the application effect of high-fidelity simulation teaching in the training of emergency management for difficult airways among anesthesia nursing students,providing practical references for enhancing their clinical emergency response capabilities.Methods:Eighty-four anesthesia nursing students who interned in the Department of Anesthesiology of our hospital from September 2023 to March 2024 were selected as the research subjects.They were randomly divided into a control group(n=42)and an observation group(n=42)using the random number table method.The control group adopted the traditional teaching mode(theoretical lectures+video demonstrations),while the observation group adopted the high-fidelity simulation teaching mode.After the training,the theoretical assessment scores,operational assessment scores,emergency response capability scores,and teaching satisfaction of the two groups of students were compared.Results:The observation group scored significantly higher than the control group in both theoretical assessment(90.35±4.82)points and practical assessment(92.17±3.96)points,with scores of(79.26±5.78)points and(81.34±5.21)points,respectively,in the control group.The differences were statistically significant(p<0.05).The observation group also scored higher than the control group in all dimensions of emergency response capabilities and total scores,including airway assessment(18.92±2.05)points vs.(14.56±2.37)points,equipment selection(19.15±1.83)points vs.(13.89±2.24)points,operation execution(19.36±1.78)points vs.(14.23±2.41)points,teamwork(18.73±2.11)points vs.(13.98±2.53)points,and total score(76.16±6.84)points vs.(56.66±7.92)points.All differences were statistically significant(p<0.05).The teaching satisfaction rate in the observation group was 97.62%(41/42),significantly higher than that in the control group at 78.57%(33/42),with a statistically significant difference(p<0.05).Conclusion:High-fidelity simulation teaching can effectively enhance the theoretical knowledge,practical skills,and emergency response capabilities of anesthesia nursing students in managing difficult airways,as well as improve teaching satisfaction.It is an efficient clinical teaching model for anesthesia nursing and is worthy of promotion and application.展开更多
Objective： Clinical reasoning is an essential feature of health care practice; it is also a crucial ability for providing patient care of high quality. It has been identified that graduate nurses may lack the clinica...Objective： Clinical reasoning is an essential feature of health care practice; it is also a crucial ability for providing patient care of high quality. It has been identified that graduate nurses may lack the clinical reasoning skills to deliver safe and effective patient cam. It is therefore of paramount importance to enhance nursing students＇ clinical reasoning ability. High-fidelity simulation （HFS） is proved to be an effective teaching and learning method, which may also have some advantages over other teaching methods. Methods： The authors retrospectively reviewed the related literature, illustrated the application of high-fidelity simulation teaching method in nursing education, putting the focus on the use of it in teaching with clinical reasoning. Results： The application of high-fidelity simulation to nursing education can simulate the clinical situation, thus to create a safe, continuous and efficient learning environment for students, and it can effectively improve students＇ clinical reasoning ability. Conclusions： high-fidelity simulation is effective for clinical reasoning teaching in nursing education. The extension of its application in China should be of great value. The relevant further study is suggested focusing on how to overcome its own limitations and have it better applied in nursing education in China.展开更多
Objective:To evaluate nursing students’assessment and communication skills through an objective structured clinical examination(OSCE)within a high-fidelity simulation using a student-simulated patient(SSP)and analyze...Objective:To evaluate nursing students’assessment and communication skills through an objective structured clinical examination(OSCE)within a high-fidelity simulation using a student-simulated patient(SSP)and analyze the validity,reliability,degree of difficulty,and discriminability of the OSCE.Methods:A descriptive study was conducted at one nursing school in Macao.All scenarios were designed using a high-fidelity simulator combined with SSPs.A convenience sample of 54 baccalaureate nursing students completed the OSCE.The nursing assessment OSCE checklist(NAOC)and the communication evaluation rubric(CER)were used as observational measurements with three-point Likert scales(2=Achieved,1=Partly achieved,0=Not completed/Incorrect).Results:Difficulty coefficients of the exam were 0.63 for nursing assessment skills and 0.56 for communication skills.The discrimination index of the majority items of the NAOC(86.4%)was>0.20,showing a better to good discriminability.The items of the CER had satisfactory indexes of item discrimination(from 0.38 to 0.84).Students received high scores in conducting blood oxygen saturation and cardiac and lung auscultation but low scores in vomiting and diarrhea assessment.Students presented good communication skills in eye contacting and listening,but culture assessment needs to be improved.The students with experiences in simulation or simulated patient(SP)interactions had better assessment and communication skills than students without those experiences.There was a positive relationship between nursing assessment and communication skills(r=0.67,P=0.000).Conclusions:SSPs were involved in enhancing the realism of interactions in simulated scenarios.Nursing students can conduct nursing assessments specific to patient conditions,explain the conditions to the patient,and ensure that the patient remains informed at all times of the precautions to be taken.However,students’cultural awareness and some communication skills need further training.With moderate difficulty and high discrimination index,OSCE showed satisfactory reliability and validity.展开更多
Background:High-fidelity simulation has been demonstrated to make great progress in learning.However,there is still ongoing exploration on how to fully harness the advantages of this teaching method and enhance its ef...Background:High-fidelity simulation has been demonstrated to make great progress in learning.However,there is still ongoing exploration on how to fully harness the advantages of this teaching method and enhance its effectiveness.This study conducted high-fidelity simulation in medical nursing based on the Healthcare Simulation Standards of Best Practice and evaluated its effect.Methods:The study was conducted from September 2019 to June 2020.A total of 82 undergraduate nursing students from a university in Shanghai participated in the high-fidelity simulation in medical nursing.The simulation design scale,educational practices in simulation scale,and students’satisfaction and self-confidence were used to evaluate the effect.Results:The mean score of simulation design scale was 4.06±0.63 with the mean scores of all dimensions being over 3.0.The mean score of educational practices in simulation scale was 4.14±0.56 with the mean scores of all dimensions being over 4.0.The mean scores of students’satisfaction and self-confidence were 4.07±0.72 and 3.89±0.58,respectively.Conclusion:Students reported high levels of simulation design and educational practices in simulation.They were also satisfied with learning and reported high levels of self-confidence.Some key points need to be considered so that the learning effects might be optimized.展开更多
Objective The purpose of this study was to explore student perspectives of high-fidelity simulation.Methods A descriptive study with semi-structured focus group interviews was conducted in Macao.Twenty-one focus group...Objective The purpose of this study was to explore student perspectives of high-fidelity simulation.Methods A descriptive study with semi-structured focus group interviews was conducted in Macao.Twenty-one focus group interviews were held with 113 baccalaureate nursing students who had experienced 36-hour of simulation.Results Students perceived that simulation created a nonrisk learning environment,and was helpful in knowledge and skill enhancement and nurse role understanding.However,lack of realistic interactions in psychosocial responses made it difficult for students to relate simulation experience to real-working situations,and poor group contributions affected their learning.ConclusionInteracting with a human patient simulator does not replicate the experience of working with a live patient.Tutors need to come up with ideas about how to make scenarios more real and give more forthright responses to improve the realism of psychosocial responses during simulation.Students experienced uncertainty with clinical decision making and commented on the minimal contributions of some group members.Tutors should be prepared to provide students with substantial supports in developing their understanding of simulation and engaging in the learning process.展开更多
Objective:This study is aimed to develop student simulated patient(SSP)training content and evaluation indicators,and further explores their validity and reliabilities.Methods:Delphi consultations with 20 nursing expe...Objective:This study is aimed to develop student simulated patient(SSP)training content and evaluation indicators,and further explores their validity and reliabilities.Methods:Delphi consultations with 20 nursing exper ts were conducted.The weights of indicators were calculated through the analytic hierarchy process.SSP training was conducted with a high-fidelity nursing simulation.Results:The expert positive coefficients were 0.952 in the first round consultation and 1.00 in the second round consultation.The expert authority coefficient was reported as 0.87.The training included role and responsibility of simulated patient(SP),script interpretation,plot performance,and training for a rater,with a total of 17 indicators.SSP evaluation consisted of disease knowledge,role portrayal,and performance fidelity and since being a rater,it consists of 20 indicators in total.The coordination coefficients of two rounds of consultation ranged from 0.530 to 0.918.The content validity of SSP evaluation indicators was 0.95.The inter-rater reliability was repor ted as 0.866,and the internal consistency established using Cronbach’sαwas 0.727.Conclusions:Students as SPs should have first-hand knowledge and experience within the simulated scenarios.SSP training content and evaluation indicators were determined through the Delphi consensus combined with analytic hierarchy process.The evaluation indicators were valid and reliable,and provided the objective and quantifiable measurements for SSP training in nursing。展开更多
Wire arc additive manufacturing(WAAM)has emerged as a promising approach for fabricating large-scale components.However,conventional WAAM still faces challenges in optimizing microstructural evolution,minimizing addit...Wire arc additive manufacturing(WAAM)has emerged as a promising approach for fabricating large-scale components.However,conventional WAAM still faces challenges in optimizing microstructural evolution,minimizing additive-induced defects,and alleviating residual stress and deformation,all of which are critical for enhancing the mechanical performance of the manufactured parts.Integrating interlayer friction stir processing(FSP)into WAAM significantly enhances the quality of deposited materials.However,numerical simulation research focusing on elucidating the associated thermomechanical coupling mechanisms remains insufficient.A comprehensive numerical model was developed to simulate the thermomechanical coupling behavior in friction stir-assisted WAAM.The influence of post-deposition FSP on the coupled thermomechanical response of the WAAM process was analyzed quantitatively.Moreover,the residual stress distribution and deformation behavior under both single-layer and multilayer deposition conditions were investigated.Thermal analysis of different deposition layers in WAAM and friction stir-assisted WAAM was conducted.Results show that subsequent layer deposition induces partial remelting of the previously solidified layer,whereas FSP does not cause such remelting.Furthermore,thermal stress and deformation analysis confirm that interlayer FSP effectively mitigates residual stresses and distortion in WAAM components,thereby improving their structural integrity and mechanical properties.展开更多
The F_(1)-ATPase and V_(1)-ATPase are rotary biomotors.Alignment of their amino acid sequences,which originate from bovine heart mitochondria(1BMF)and Enterococcus hirae(3VR6),respectively,demonstrates that the segmen...The F_(1)-ATPase and V_(1)-ATPase are rotary biomotors.Alignment of their amino acid sequences,which originate from bovine heart mitochondria(1BMF)and Enterococcus hirae(3VR6),respectively,demonstrates that the segment forming the ATP catalytic pocket is highly conserved.Single-molecule experiments,however,have revealed subtle differences in efficiency between the F_(1) and V_(1) motors.Here,we perform both atomistic and coarse-grained molecular dynamics simulations to investigate the mechanochemical coupling and coordination in F_(1) and V_(1) ATPase.Our results show that the correlation between conformational changes in F_(1) is stronger than that in V_(1),indicating that the mechanochemical coupling in F_(1) is tighter than in V_(1).Moreover,the unidirectional rotation of F_(1) is more processive than that of V_(1),which accounts for the higher efficiency observed in F_(1) and explains the occasional backward steps detected in single-molecule experiments on V_(1).展开更多
The rapid advancement of machine learning based tight-binding Hamiltonian(MLTB)methods has opened new avenues for efficient and accurate electronic structure simulations,particularly in large-scale systems and long-ti...The rapid advancement of machine learning based tight-binding Hamiltonian(MLTB)methods has opened new avenues for efficient and accurate electronic structure simulations,particularly in large-scale systems and long-time scenarios.This review begins with a concise overview of traditional tight-binding(TB)models,including both(semi-)empirical and first-principles approaches,establishing the foundation for understanding MLTB developments.We then present a systematic classification of existing MLTB methodologies,grouped into two major categories:direct prediction of TB Hamiltonian elements and inference of empirical parameters.A comparative analysis with other ML-based electronic structure models is also provided,highlighting the advancement of MLTB approaches.Finally,we explore the emerging MLTB application ecosystem,highlighting how the integration of MLTB models with a diverse suite of post-processing tools from linear-scaling solvers to quantum transport frameworks and molecular dynamics interfaces is essential for tackling complex scientific problems across different domains.The continued advancement of this integrated paradigm promises to accelerate materials discovery and open new frontiers in the predictive simulation of complex quantum phenomena.展开更多
Vitrimers belong to a class of polymeric materials capable of bond exchange reactions,showing great promise for environmental protection and sustainable development.However,studies on the coupling mechanism between th...Vitrimers belong to a class of polymeric materials capable of bond exchange reactions,showing great promise for environmental protection and sustainable development.However,studies on the coupling mechanism between the bond exchange kinetics and segmental dynamics near the glass transition temperature(T_(g))remain scarce.Herein,we employed molecular dynamics simulations to investigate the dynamic heterogeneity of the segment motion and bond exchange in vitrimers.The simulation results revealed that the bond exchange energy barrier exerts a much stronger influence on the bond exchange kinetics than on the segmental dynamics.At lower temperatures,slower segmental relaxation further constraind the bond exchange rate.Additionally,increasing the bond exchange energy barrier markedly enhanced the dynamic heterogeneity of segment motion.A close correlation was observed between heterogeneity and bond exchange.This study elucidated the coupling mechanism between bond exchange and segmental dynamics at the molecular scale,thereby providing a theoretical basis for designing vitrimer materials with tunable dynamic properties.展开更多
In federated learning,backdoor attacks have become an important research topic with their wide application in processing sensitive datasets.Since federated learning detects or modifies local models through defense mec...In federated learning,backdoor attacks have become an important research topic with their wide application in processing sensitive datasets.Since federated learning detects or modifies local models through defense mechanisms during aggregation,it is difficult to conduct effective backdoor attacks.In addition,existing backdoor attack methods are faced with challenges,such as low backdoor accuracy,poor ability to evade anomaly detection,and unstable model training.To address these challenges,a method called adaptive simulation backdoor attack(ASBA)is proposed.Specifically,ASBA improves the stability of model training by manipulating the local training process and using an adaptive mechanism,the ability of the malicious model to evade anomaly detection by combing large simulation training and clipping,and the backdoor accuracy by introducing a stimulus model to amplify the impact of the backdoor in the global model.Extensive comparative experiments under five advanced defense scenarios show that ASBA can effectively evade anomaly detection and achieve high backdoor accuracy in the global model.Furthermore,it exhibits excellent stability and effectiveness after multiple rounds of attacks,outperforming state-of-the-art backdoor attack methods.展开更多
UHMWPE fibers exhibit impressive modulus and strength,but they have not reached their theoretical limits.Researchers focus on molecular weight,orientation,and crystallinity of UHMWPE,yet their contributions to mechani...UHMWPE fibers exhibit impressive modulus and strength,but they have not reached their theoretical limits.Researchers focus on molecular weight,orientation,and crystallinity of UHMWPE,yet their contributions to mechanical properties are unclear.Molecular dynamics simulations are valuable but often limited by computational constraints.Our aim is to simulate higher molecular weights to better represent real UHMWPE fibers.We used Packmol and Polyply methodologies to construct PE systems,with Polyply reproducing more reasonable properties of UHMWPE fibers.Additionally,tensile simulations showed that orientation and crystallinity greatly impact Young's modulus more than molecular weight.Energy decomposition indicated that higher molecular weights lead to covalent bonds that can withstand more energy during stretching,thus increasing breaking strength.Combining simulations with machine learning,we found that orientation has the most significant impact on Young's modulus,contributing 60%,and molecular weight plays the most crucial role in determining the breaking strength,accounting for 65%.This study provides a theoretical basis and guidelines for enhancing UHMWPE's modulus and strength.展开更多
With the rapid proliferation of electric vehicles,their charging loads pose new challenges to power grid stability and operational efficiency.To address this,this study employs a Monte Carlo simulation model to analyz...With the rapid proliferation of electric vehicles,their charging loads pose new challenges to power grid stability and operational efficiency.To address this,this study employs a Monte Carlo simulation model to analyze the charging load characteristics of six battery electric vehicle categories in Hebei Province,leveraging multi-source probabilistic distribution data under typical operational scenarios.The findings reveal that electric vehicle charging loads are primarily concentrated during midday and nighttime periods,with significant load fluctuations exerting substantial pressure on the grid.In response,this paper proposes strategic interventions including optimized charging infrastructure planning,time-of-use electricity pricing mechanisms,and smart charging technologies to balance grid loads.The results provide a theoretical foundation for electric vehicle load forecasting,smart grid dispatching,and vehicle-grid integration,thereby enhancing grid operational efficiency and sustainability.展开更多
In recent years,three-dimensional reconstruction technologies that employ multiple cameras have continued to evolve significantly,enabling remote collaboration among users in extended Reality(XR)environments.In additi...In recent years,three-dimensional reconstruction technologies that employ multiple cameras have continued to evolve significantly,enabling remote collaboration among users in extended Reality(XR)environments.In addition,methods for deploying multiple cameras for motion capture of users(e.g.,performers)are widely used in computer graphics.As the need to minimize and optimize the number of cameras grows to reduce costs,various technologies and research approaches focused on Optimal Camera Placement(OCP)are continually being proposed.However,as most existing studies assume homogeneous camera setups,there is a growing demand for studies on heterogeneous camera setups.For instance,technical demands keep emerging in scenarios with minimal camera configurations,especially regarding cost factors,the physical placement of cameras given the spatial structure,and image capture strategies for heterogeneous cameras,such as high-resolution RGB cameras and depth cameras.In this study,we propose a pre-visualization and simulation method for the optimal placement of heterogeneous cameras in XR environments,accounting for both the specifications of heterogeneous cameras(e.g.,field of view)and the physical configuration(e.g.,wall configuration)in real-world spaces.The proposed method performs a visibility analysis of cameras by considering each camera’s field-of-view volume,resolution,and unique characteristics,along with physicalspace constraints.This approach enables the optimal position and rotation of each camera to be recommended,along with the minimum number of cameras required.In the results of our study conducted in heterogeneous camera combinations,the proposed method achieved 81.7%~82.7%coverage of the target visual information using only 2~3 cameras.In contrast,single(or homogeneous)-typed cameras were required to use 11 cameras for 81.6%coverage.Accordingly,we found that camera deployment resources can be reduced with the proposed approaches.展开更多
Because of the developed surface of the Triply PeriodicMinimumSurface(TPMS)structures,polylactide(PLA)products with a TPMS structure are thought to be promising bio soluble implants with the potential for targeted dru...Because of the developed surface of the Triply PeriodicMinimumSurface(TPMS)structures,polylactide(PLA)products with a TPMS structure are thought to be promising bio soluble implants with the potential for targeted drug delivery.For implants,mechanical properties are key performance characteristics,so understanding the deformation and failure mechanisms is essential for selecting the appropriate implant structure.The deformation and fracture processes in PLA samples with different interior architectures have been studied through computer simulation and experimental research.Two TPMS topologies,the Schwarz Diamond and Gyroid architectures,were used for the sample construction by 3D printing.ANSYS software was utilized to simulate compressive deformation.It was found that under the same load,the vonMises stresses in the Gyroid structure are higher than those in the Schwartz Diamond structure,which was associated with the different orientations of the cells in the studied structures in relation to the direction of the loading axis.The deformation process occurs in the local regions of the studied TPMS structures.Maximum von Mises stresses were observed in the vertical parts of the structures oriented along the load direction.It was found that,unlike the Gyroid,the Schwartz Diamond structure contains a frame that forms unique stiffening ribs,which ensures the redistribution of the load under the vertical loading direction.An analysis of the mechanical characteristics of PLA samples with the Schwartz Diamond and Gyroid structures produced by the Fused Deposition Modeling(FDM)method was correlated with computer simulation.The Schwarz Diamond-type structure was shown to have a higher absorption energy than the Gyroid one.A study of the fracture in PLA samples with various cell sizes revealed a particular feature related to the samples’periodic surface topology and the 3D printing process.Scanning electron microscopic(SEM)studies of the samples deformed by compression showed thatwith an increase in the density of the samples,the failure mechanism changes from ductile to quasi-brittle due to the complex participation of both cell deformation and fiber deformation.展开更多
基金supported by School Research Grant of Tung Wah College(SRG210401).
文摘Objective:To gain insight into the potential factors that may cause perceived stress and anxiety in simulation education.Methods:A secondary qualitative analysis study using qualitative thematic synthesis.A local higher education institution that conducted pre-registration nursing programs.A total of 189 undergraduate nursing students that were never attained any clinical placement prior to the parent study.Focus group interviews were conducted to collect data that were then transcribed and analyzed through the qualitative thematic synthesis approach to develop themes.Results:Three themes were emerged from the participants’simulation experiences in terms of peoples(the observers vs the observed),actions(the prepared vs the unprepared),and settings(the realism vs the simulation).Conclusions:By considering and reviewing the current design and development of the simulation practice,the findings of this study contribute to the body of knowledge with valuable insights on stress and anxiety that may affect students’learning in simulation.
基金Mechanism of HSP90 Regulating DRP1 Acetylation-Induced Mitochondrial Dynamics Imbalance in Endothelial Cells Promoting Atherosclerosis Progression,Shaanxi Provincial People’s Hospital(Project No.:2025JCYBBQN-1163)。
文摘Objective:To explore the application effect of high-fidelity simulation teaching in the training of emergency management for difficult airways among anesthesia nursing students,providing practical references for enhancing their clinical emergency response capabilities.Methods:Eighty-four anesthesia nursing students who interned in the Department of Anesthesiology of our hospital from September 2023 to March 2024 were selected as the research subjects.They were randomly divided into a control group(n=42)and an observation group(n=42)using the random number table method.The control group adopted the traditional teaching mode(theoretical lectures+video demonstrations),while the observation group adopted the high-fidelity simulation teaching mode.After the training,the theoretical assessment scores,operational assessment scores,emergency response capability scores,and teaching satisfaction of the two groups of students were compared.Results:The observation group scored significantly higher than the control group in both theoretical assessment(90.35±4.82)points and practical assessment(92.17±3.96)points,with scores of(79.26±5.78)points and(81.34±5.21)points,respectively,in the control group.The differences were statistically significant(p<0.05).The observation group also scored higher than the control group in all dimensions of emergency response capabilities and total scores,including airway assessment(18.92±2.05)points vs.(14.56±2.37)points,equipment selection(19.15±1.83)points vs.(13.89±2.24)points,operation execution(19.36±1.78)points vs.(14.23±2.41)points,teamwork(18.73±2.11)points vs.(13.98±2.53)points,and total score(76.16±6.84)points vs.(56.66±7.92)points.All differences were statistically significant(p<0.05).The teaching satisfaction rate in the observation group was 97.62%(41/42),significantly higher than that in the control group at 78.57%(33/42),with a statistically significant difference(p<0.05).Conclusion:High-fidelity simulation teaching can effectively enhance the theoretical knowledge,practical skills,and emergency response capabilities of anesthesia nursing students in managing difficult airways,as well as improve teaching satisfaction.It is an efficient clinical teaching model for anesthesia nursing and is worthy of promotion and application.
文摘Objective： Clinical reasoning is an essential feature of health care practice; it is also a crucial ability for providing patient care of high quality. It has been identified that graduate nurses may lack the clinical reasoning skills to deliver safe and effective patient cam. It is therefore of paramount importance to enhance nursing students＇ clinical reasoning ability. High-fidelity simulation （HFS） is proved to be an effective teaching and learning method, which may also have some advantages over other teaching methods. Methods： The authors retrospectively reviewed the related literature, illustrated the application of high-fidelity simulation teaching method in nursing education, putting the focus on the use of it in teaching with clinical reasoning. Results： The application of high-fidelity simulation to nursing education can simulate the clinical situation, thus to create a safe, continuous and efficient learning environment for students, and it can effectively improve students＇ clinical reasoning ability. Conclusions： high-fidelity simulation is effective for clinical reasoning teaching in nursing education. The extension of its application in China should be of great value. The relevant further study is suggested focusing on how to overcome its own limitations and have it better applied in nursing education in China.
基金This project was supported by research funding from the Macao Polytechnic Institute(No.RP/ESS-06/2017).
文摘Objective:To evaluate nursing students’assessment and communication skills through an objective structured clinical examination(OSCE)within a high-fidelity simulation using a student-simulated patient(SSP)and analyze the validity,reliability,degree of difficulty,and discriminability of the OSCE.Methods:A descriptive study was conducted at one nursing school in Macao.All scenarios were designed using a high-fidelity simulator combined with SSPs.A convenience sample of 54 baccalaureate nursing students completed the OSCE.The nursing assessment OSCE checklist(NAOC)and the communication evaluation rubric(CER)were used as observational measurements with three-point Likert scales(2=Achieved,1=Partly achieved,0=Not completed/Incorrect).Results:Difficulty coefficients of the exam were 0.63 for nursing assessment skills and 0.56 for communication skills.The discrimination index of the majority items of the NAOC(86.4%)was>0.20,showing a better to good discriminability.The items of the CER had satisfactory indexes of item discrimination(from 0.38 to 0.84).Students received high scores in conducting blood oxygen saturation and cardiac and lung auscultation but low scores in vomiting and diarrhea assessment.Students presented good communication skills in eye contacting and listening,but culture assessment needs to be improved.The students with experiences in simulation or simulated patient(SP)interactions had better assessment and communication skills than students without those experiences.There was a positive relationship between nursing assessment and communication skills(r=0.67,P=0.000).Conclusions:SSPs were involved in enhancing the realism of interactions in simulated scenarios.Nursing students can conduct nursing assessments specific to patient conditions,explain the conditions to the patient,and ensure that the patient remains informed at all times of the precautions to be taken.However,students’cultural awareness and some communication skills need further training.With moderate difficulty and high discrimination index,OSCE showed satisfactory reliability and validity.
基金supported by Fudan Good Practice Program of Teaching and Learning(2019C003).
文摘Background:High-fidelity simulation has been demonstrated to make great progress in learning.However,there is still ongoing exploration on how to fully harness the advantages of this teaching method and enhance its effectiveness.This study conducted high-fidelity simulation in medical nursing based on the Healthcare Simulation Standards of Best Practice and evaluated its effect.Methods:The study was conducted from September 2019 to June 2020.A total of 82 undergraduate nursing students from a university in Shanghai participated in the high-fidelity simulation in medical nursing.The simulation design scale,educational practices in simulation scale,and students’satisfaction and self-confidence were used to evaluate the effect.Results:The mean score of simulation design scale was 4.06±0.63 with the mean scores of all dimensions being over 3.0.The mean score of educational practices in simulation scale was 4.14±0.56 with the mean scores of all dimensions being over 4.0.The mean scores of students’satisfaction and self-confidence were 4.07±0.72 and 3.89±0.58,respectively.Conclusion:Students reported high levels of simulation design and educational practices in simulation.They were also satisfied with learning and reported high levels of self-confidence.Some key points need to be considered so that the learning effects might be optimized.
基金the Macao Polytechnic Institute(code RP/ESS-01/2012)for providing funding for this research
文摘Objective The purpose of this study was to explore student perspectives of high-fidelity simulation.Methods A descriptive study with semi-structured focus group interviews was conducted in Macao.Twenty-one focus group interviews were held with 113 baccalaureate nursing students who had experienced 36-hour of simulation.Results Students perceived that simulation created a nonrisk learning environment,and was helpful in knowledge and skill enhancement and nurse role understanding.However,lack of realistic interactions in psychosocial responses made it difficult for students to relate simulation experience to real-working situations,and poor group contributions affected their learning.ConclusionInteracting with a human patient simulator does not replicate the experience of working with a live patient.Tutors need to come up with ideas about how to make scenarios more real and give more forthright responses to improve the realism of psychosocial responses during simulation.Students experienced uncertainty with clinical decision making and commented on the minimal contributions of some group members.Tutors should be prepared to provide students with substantial supports in developing their understanding of simulation and engaging in the learning process.
基金supported by research funding from the Macao Polytechnic Institute(No.RP/ESS-06/2017)。
文摘Objective:This study is aimed to develop student simulated patient(SSP)training content and evaluation indicators,and further explores their validity and reliabilities.Methods:Delphi consultations with 20 nursing exper ts were conducted.The weights of indicators were calculated through the analytic hierarchy process.SSP training was conducted with a high-fidelity nursing simulation.Results:The expert positive coefficients were 0.952 in the first round consultation and 1.00 in the second round consultation.The expert authority coefficient was reported as 0.87.The training included role and responsibility of simulated patient(SP),script interpretation,plot performance,and training for a rater,with a total of 17 indicators.SSP evaluation consisted of disease knowledge,role portrayal,and performance fidelity and since being a rater,it consists of 20 indicators in total.The coordination coefficients of two rounds of consultation ranged from 0.530 to 0.918.The content validity of SSP evaluation indicators was 0.95.The inter-rater reliability was repor ted as 0.866,and the internal consistency established using Cronbach’sαwas 0.727.Conclusions:Students as SPs should have first-hand knowledge and experience within the simulated scenarios.SSP training content and evaluation indicators were determined through the Delphi consensus combined with analytic hierarchy process.The evaluation indicators were valid and reliable,and provided the objective and quantifiable measurements for SSP training in nursing。
基金National Key Research and Development Program of China(2022YFB4600902)Shandong Provincial Science Foundation for Outstanding Young Scholars(ZR2024YQ020)。
文摘Wire arc additive manufacturing(WAAM)has emerged as a promising approach for fabricating large-scale components.However,conventional WAAM still faces challenges in optimizing microstructural evolution,minimizing additive-induced defects,and alleviating residual stress and deformation,all of which are critical for enhancing the mechanical performance of the manufactured parts.Integrating interlayer friction stir processing(FSP)into WAAM significantly enhances the quality of deposited materials.However,numerical simulation research focusing on elucidating the associated thermomechanical coupling mechanisms remains insufficient.A comprehensive numerical model was developed to simulate the thermomechanical coupling behavior in friction stir-assisted WAAM.The influence of post-deposition FSP on the coupled thermomechanical response of the WAAM process was analyzed quantitatively.Moreover,the residual stress distribution and deformation behavior under both single-layer and multilayer deposition conditions were investigated.Thermal analysis of different deposition layers in WAAM and friction stir-assisted WAAM was conducted.Results show that subsequent layer deposition induces partial remelting of the previously solidified layer,whereas FSP does not cause such remelting.Furthermore,thermal stress and deformation analysis confirm that interlayer FSP effectively mitigates residual stresses and distortion in WAAM components,thereby improving their structural integrity and mechanical properties.
基金supported by the National Natural Science Foundation of China(Grant Nos.22193032 and 32401033)the Research Fund of Wenzhou Institute,Chinese Academy of Sciences(Grant Nos.WIUCASQD2020009,WIUCASQD2023005,XSZD2024004,2021HZSY0061,and WIUCASICTP2022)。
文摘The F_(1)-ATPase and V_(1)-ATPase are rotary biomotors.Alignment of their amino acid sequences,which originate from bovine heart mitochondria(1BMF)and Enterococcus hirae(3VR6),respectively,demonstrates that the segment forming the ATP catalytic pocket is highly conserved.Single-molecule experiments,however,have revealed subtle differences in efficiency between the F_(1) and V_(1) motors.Here,we perform both atomistic and coarse-grained molecular dynamics simulations to investigate the mechanochemical coupling and coordination in F_(1) and V_(1) ATPase.Our results show that the correlation between conformational changes in F_(1) is stronger than that in V_(1),indicating that the mechanochemical coupling in F_(1) is tighter than in V_(1).Moreover,the unidirectional rotation of F_(1) is more processive than that of V_(1),which accounts for the higher efficiency observed in F_(1) and explains the occasional backward steps detected in single-molecule experiments on V_(1).
基金supported by the Advanced Materials-National Science and Technology Major Project(Grant No.2025ZD0618401)the National Natural Science Foundation of China(Grant No.12504285)+1 种基金the Natural Science Foundation of Jiangsu Province(Grant No.BK20250472)NFSG grant from BITS-Pilani,Dubai campus。
文摘The rapid advancement of machine learning based tight-binding Hamiltonian(MLTB)methods has opened new avenues for efficient and accurate electronic structure simulations,particularly in large-scale systems and long-time scenarios.This review begins with a concise overview of traditional tight-binding(TB)models,including both(semi-)empirical and first-principles approaches,establishing the foundation for understanding MLTB developments.We then present a systematic classification of existing MLTB methodologies,grouped into two major categories:direct prediction of TB Hamiltonian elements and inference of empirical parameters.A comparative analysis with other ML-based electronic structure models is also provided,highlighting the advancement of MLTB approaches.Finally,we explore the emerging MLTB application ecosystem,highlighting how the integration of MLTB models with a diverse suite of post-processing tools from linear-scaling solvers to quantum transport frameworks and molecular dynamics interfaces is essential for tackling complex scientific problems across different domains.The continued advancement of this integrated paradigm promises to accelerate materials discovery and open new frontiers in the predictive simulation of complex quantum phenomena.
基金financially supported by the National Natural Science Foundation of China(Nos.52173020 and 52573023)。
文摘Vitrimers belong to a class of polymeric materials capable of bond exchange reactions,showing great promise for environmental protection and sustainable development.However,studies on the coupling mechanism between the bond exchange kinetics and segmental dynamics near the glass transition temperature(T_(g))remain scarce.Herein,we employed molecular dynamics simulations to investigate the dynamic heterogeneity of the segment motion and bond exchange in vitrimers.The simulation results revealed that the bond exchange energy barrier exerts a much stronger influence on the bond exchange kinetics than on the segmental dynamics.At lower temperatures,slower segmental relaxation further constraind the bond exchange rate.Additionally,increasing the bond exchange energy barrier markedly enhanced the dynamic heterogeneity of segment motion.A close correlation was observed between heterogeneity and bond exchange.This study elucidated the coupling mechanism between bond exchange and segmental dynamics at the molecular scale,thereby providing a theoretical basis for designing vitrimer materials with tunable dynamic properties.
文摘In federated learning,backdoor attacks have become an important research topic with their wide application in processing sensitive datasets.Since federated learning detects or modifies local models through defense mechanisms during aggregation,it is difficult to conduct effective backdoor attacks.In addition,existing backdoor attack methods are faced with challenges,such as low backdoor accuracy,poor ability to evade anomaly detection,and unstable model training.To address these challenges,a method called adaptive simulation backdoor attack(ASBA)is proposed.Specifically,ASBA improves the stability of model training by manipulating the local training process and using an adaptive mechanism,the ability of the malicious model to evade anomaly detection by combing large simulation training and clipping,and the backdoor accuracy by introducing a stimulus model to amplify the impact of the backdoor in the global model.Extensive comparative experiments under five advanced defense scenarios show that ASBA can effectively evade anomaly detection and achieve high backdoor accuracy in the global model.Furthermore,it exhibits excellent stability and effectiveness after multiple rounds of attacks,outperforming state-of-the-art backdoor attack methods.
基金financially supported by the National Natural Science Foundation of China(Nos.52303298 and 52233002)。
文摘UHMWPE fibers exhibit impressive modulus and strength,but they have not reached their theoretical limits.Researchers focus on molecular weight,orientation,and crystallinity of UHMWPE,yet their contributions to mechanical properties are unclear.Molecular dynamics simulations are valuable but often limited by computational constraints.Our aim is to simulate higher molecular weights to better represent real UHMWPE fibers.We used Packmol and Polyply methodologies to construct PE systems,with Polyply reproducing more reasonable properties of UHMWPE fibers.Additionally,tensile simulations showed that orientation and crystallinity greatly impact Young's modulus more than molecular weight.Energy decomposition indicated that higher molecular weights lead to covalent bonds that can withstand more energy during stretching,thus increasing breaking strength.Combining simulations with machine learning,we found that orientation has the most significant impact on Young's modulus,contributing 60%,and molecular weight plays the most crucial role in determining the breaking strength,accounting for 65%.This study provides a theoretical basis and guidelines for enhancing UHMWPE's modulus and strength.
基金funded by Humanities and Social Sciences of Ministry of Education Planning Fund of China,grant number 21YJA790009National Natural Science Foundation of China,grant number 72140001.
文摘With the rapid proliferation of electric vehicles,their charging loads pose new challenges to power grid stability and operational efficiency.To address this,this study employs a Monte Carlo simulation model to analyze the charging load characteristics of six battery electric vehicle categories in Hebei Province,leveraging multi-source probabilistic distribution data under typical operational scenarios.The findings reveal that electric vehicle charging loads are primarily concentrated during midday and nighttime periods,with significant load fluctuations exerting substantial pressure on the grid.In response,this paper proposes strategic interventions including optimized charging infrastructure planning,time-of-use electricity pricing mechanisms,and smart charging technologies to balance grid loads.The results provide a theoretical foundation for electric vehicle load forecasting,smart grid dispatching,and vehicle-grid integration,thereby enhancing grid operational efficiency and sustainability.
基金supported by the 2024 Research Fund of University of Ulsan.
文摘In recent years,three-dimensional reconstruction technologies that employ multiple cameras have continued to evolve significantly,enabling remote collaboration among users in extended Reality(XR)environments.In addition,methods for deploying multiple cameras for motion capture of users(e.g.,performers)are widely used in computer graphics.As the need to minimize and optimize the number of cameras grows to reduce costs,various technologies and research approaches focused on Optimal Camera Placement(OCP)are continually being proposed.However,as most existing studies assume homogeneous camera setups,there is a growing demand for studies on heterogeneous camera setups.For instance,technical demands keep emerging in scenarios with minimal camera configurations,especially regarding cost factors,the physical placement of cameras given the spatial structure,and image capture strategies for heterogeneous cameras,such as high-resolution RGB cameras and depth cameras.In this study,we propose a pre-visualization and simulation method for the optimal placement of heterogeneous cameras in XR environments,accounting for both the specifications of heterogeneous cameras(e.g.,field of view)and the physical configuration(e.g.,wall configuration)in real-world spaces.The proposed method performs a visibility analysis of cameras by considering each camera’s field-of-view volume,resolution,and unique characteristics,along with physicalspace constraints.This approach enables the optimal position and rotation of each camera to be recommended,along with the minimum number of cameras required.In the results of our study conducted in heterogeneous camera combinations,the proposed method achieved 81.7%~82.7%coverage of the target visual information using only 2~3 cameras.In contrast,single(or homogeneous)-typed cameras were required to use 11 cameras for 81.6%coverage.Accordingly,we found that camera deployment resources can be reduced with the proposed approaches.
文摘Because of the developed surface of the Triply PeriodicMinimumSurface(TPMS)structures,polylactide(PLA)products with a TPMS structure are thought to be promising bio soluble implants with the potential for targeted drug delivery.For implants,mechanical properties are key performance characteristics,so understanding the deformation and failure mechanisms is essential for selecting the appropriate implant structure.The deformation and fracture processes in PLA samples with different interior architectures have been studied through computer simulation and experimental research.Two TPMS topologies,the Schwarz Diamond and Gyroid architectures,were used for the sample construction by 3D printing.ANSYS software was utilized to simulate compressive deformation.It was found that under the same load,the vonMises stresses in the Gyroid structure are higher than those in the Schwartz Diamond structure,which was associated with the different orientations of the cells in the studied structures in relation to the direction of the loading axis.The deformation process occurs in the local regions of the studied TPMS structures.Maximum von Mises stresses were observed in the vertical parts of the structures oriented along the load direction.It was found that,unlike the Gyroid,the Schwartz Diamond structure contains a frame that forms unique stiffening ribs,which ensures the redistribution of the load under the vertical loading direction.An analysis of the mechanical characteristics of PLA samples with the Schwartz Diamond and Gyroid structures produced by the Fused Deposition Modeling(FDM)method was correlated with computer simulation.The Schwarz Diamond-type structure was shown to have a higher absorption energy than the Gyroid one.A study of the fracture in PLA samples with various cell sizes revealed a particular feature related to the samples’periodic surface topology and the 3D printing process.Scanning electron microscopic(SEM)studies of the samples deformed by compression showed thatwith an increase in the density of the samples,the failure mechanism changes from ductile to quasi-brittle due to the complex participation of both cell deformation and fiber deformation.
