Background:In this study,we aimed to validate and test the reliability of the Yonsei lifestyle profile(YLP)in assessing multifaceted health lifestyle levels in a study population from the United States.Methods:The YLP...Background:In this study,we aimed to validate and test the reliability of the Yonsei lifestyle profile(YLP)in assessing multifaceted health lifestyle levels in a study population from the United States.Methods:The YLP-English version and health-promoting lifestyle profile II were administered to 100 individuals living in the United States.Concurrent validity was analyzed using Pearson's correlation coefficient,and discriminant validity was examined by comparing sex and age differences through t-tests and multiple variance analysis.Internal consistency was assessed using Cronbach'sαfor each sub-factor.Results:The YLP-English Version demonstrated concurrent validity with the Health-Promoting Lifestyle Profile II,showing consistent correlations for the total score(0.3,p<0.01)and frequency sub-factors(0.25-0.69,p<0.01).Among the satisfaction sub-factors,only nutrition showed a weak negative correlation(-0.19,p<0.01);all others were nonsignificant.Discriminant validity revealed no significant sex differences,but physical activity frequency varied across age groups.Internal consistency was high(Cronbach'sα=0.80-0.86).Conclusion:In this study,we validated the YLP-English version as a reliable instrument for assessing health-related lifestyle behaviors.The YLP uniquely captures both lifestyle frequency and satisfaction,offering a comprehensive perspective on health behaviors.Although this tool is currently most applicable in population-level studies,future research should establish clinical thresholds to enhance its utility in individualized health assessments and interventions.展开更多
This research aimed to overcome challenges such as high costs,lengthy optimization time,and low efficiency in resolving issues related to wheel-rail contact,rail wear,and vehicle dynamics.Based on the wheel-rail conta...This research aimed to overcome challenges such as high costs,lengthy optimization time,and low efficiency in resolving issues related to wheel-rail contact,rail wear,and vehicle dynamics.Based on the wheel-rail contact parameters,an optimal design method for rail grinding target profile is proposed from wear profile measurement to grinding profile design according to the actual railway track and vehicle operating conditions.We utilized Isight to create a simulation test and developed an RBF proxy model that incorporated both mechanical and geometric aspects of wheel-rail contact.By integrating rail modeling,wheel-rail contact analysis,and multi-objective optimization,we established a rail grinding optimization model that was solved using the NSGA-II algorithm.After optimization,the study achieved a 31.863%reduction in average contact stress,a 70.5%reduction in matching wear work,and a 100.391%increase in the difference in rolling radius between the wheel and rail.展开更多
CO_(2)-responsive gels,which swell upon contact with CO_(2),are widely used for profile control to plug high-permeability gas flow channels in carbon capture,utilization,and storage(CCUS)applications in oil reser-voir...CO_(2)-responsive gels,which swell upon contact with CO_(2),are widely used for profile control to plug high-permeability gas flow channels in carbon capture,utilization,and storage(CCUS)applications in oil reser-voirs.However,the use of these gels in high-temperature CCUS applications is limited due to their rever-sible swelling behavior at elevated temperatures.In this study,a novel dispersed particle gel(DPG)suspension is developed for high-temperature profile control in CCUS applications.First,we synthesize a double-network hydrogel consisting of a crosslinked polyacrylamide(PAAm)network and a crosslinked sodium alginate(SA)network.The hydrogel is then sheared in water to form a pre-prepared DPG suspen-sion.To enhance its performance,the gel particles are modified by introducing potassium methylsilan-etriolate(PMS)upon CO_(2) exposure.Comparing the particle size distributions of the modified and pre-prepared DPG suspension reveals a significant swelling of gel particles,over twice their original size.Moreover,subjecting the new DPG suspension to a 100℃ environment for 24 h demonstrates that its gel particle sizes do not decrease,confirming irreversible swelling,which is a significant advantage over the traditional CO_(2)-responsive gels.Thermogravimetric analysis further indicates improved thermal sta-bility compared to the pre-prepared DPG particles.Core flooding experiments show that the new DPG suspension achieves a high plugging efficiency of 95.3%in plugging an ultra-high permeability sandpack,whereas the pre-prepared DPG suspension achieves only 82.8%.With its high swelling ratio,irreversible swelling at high temperatures,enhanced thermal stability,and superior plugging performance,the newly developed DPG suspension in this work presents a highly promising solution for profile control in high-temperature CCUS applications.展开更多
A segmented predictor-corrector method is proposed for hypersonic glide vehicles to address the issue of the slow computational speed of obtaining guidance commands using the traditional predictor-corrector guidance m...A segmented predictor-corrector method is proposed for hypersonic glide vehicles to address the issue of the slow computational speed of obtaining guidance commands using the traditional predictor-corrector guidance method.Firstly,an altitude-energy profile is designed,and the bank angle is derived analytically as the initial iteration value for the predictor-corrector method.The predictor-corrector guidance method has been improved by deriving an analytical form for predicting the range-to-go error,which greatly accelerates the iterative speed.Then,a segmented guidance algorithm is proposed.The above analytically predictor-corrector guidance method is adopted when the energy exceeds an energy threshold.When the energy is less than the threshold,the equidistant test method is used to calculate the bank angle command,which ensures guidance accuracy as well as computational efficiency.Additionally,an adaptive guidance cycle strategy is applied to reduce the computational time of the reentry guidance trajectory.Finally,the accuracy and robustness of the proposed method are verified through a series of simulations and Monte-Carlo experiments.Compared with the traditional integral method,the proposed method requires 75%less computation time on average and achieves a lower landing error.展开更多
Objectives:SocialNetworkAddiction(SNA)is becoming increasingly prevalent among college students;however,there remains a lack of consensus regarding the measurement tools and their optimal cutoff score.This study aims ...Objectives:SocialNetworkAddiction(SNA)is becoming increasingly prevalent among college students;however,there remains a lack of consensus regarding the measurement tools and their optimal cutoff score.This study aims to validate the 21-item SocialNetwork Addiction Scale-Chinese(SNAS-C)in its Chinese version and to determine its optimal cutoff score for identifying potential SNA cases within the college student population.Methods:A crosssectional survey was conducted,recruiting 3387 college students.Latent profile analysis(LPA)and receiver operating characteristic(ROC)curve analysis were employed to establish the optimal cutoff score for the validated 21-item SNAS-C.Results:Three profile models were selected based on multiple statistical criteria,classifying participants into low-risk,moderate-risk,and high-risk groups.The highest-risk group was defined as“positive”for SNA,while the remaining groups were considered“negative”,serving as the reference standard for ROC analysis.The optimal cutoff score was determined to be 72(sensitivity:98.2%,specificity:96.86%),with an overall classification accuracy of 97.0%.The“positive”group reported significantly higher frequency of social network usage,greater digitalmedia dependence scores,and a higher incidence of network addiction.Conclusion:This study identified the optimal cutoff score for the SNAS-C as≥72,demonstrating high sensitivity,specificity,and diagnostic accuracy.This threshold effectively distinguishes between high-risk and low-risk SNA.展开更多
The big-tapered profiled ring disk is a key component of engines for rockets and missiles.A new forming technology,as called spinning-rolling process,has been proposed previously for the high performance,high efficien...The big-tapered profiled ring disk is a key component of engines for rockets and missiles.A new forming technology,as called spinning-rolling process,has been proposed previously for the high performance,high efficiency and low-cost manufacturing of the component.Blank design is the key part of plastic forming process design.For spinning-rolling process,the shape and size of the blank play a crucial role in process stability,deformation behavior and dimensional accuracy.So this work proposes a blank design method to determine the geometry structure and sizes of the blank.The mathematical model for calculating the blank size has been deduced based on volume conservation and neutral layer length invariance principle.The FE simulation and corresponding trial production of an actual big-tapered profiled ring disk show that the proposed blank design method is applicative.In order to obtain a preferred blank,the influence rules of blank size determined by different deformation degrees(rolling ratio k)on the spinning-rolling process are revealed by comprehensive FE simulations.Overall considering the process stability,circularity of the deformed ring disk and forming forces,a reasonable range of deformation degree(rolling ratio k)is recommended for the blank design of the new spinning-rolling process.展开更多
BACKGROUND Disorders of gut-brain interaction(DGBI)are common,but knowledge about their physiopathology is still poor,nor valid tools have been used to evaluate them in childhood.AIM To develop a psycho-gastroenterolo...BACKGROUND Disorders of gut-brain interaction(DGBI)are common,but knowledge about their physiopathology is still poor,nor valid tools have been used to evaluate them in childhood.AIM To develop a psycho-gastroenterological questionnaire(PGQ)to assess the psycho-gastroenterological profile and social characteristics of a pediatric population with and without DGBI.METHODS One hundred and nineteen Italian children(age 11-18)were included:28 outpatient patients with DGBI(Rome IV criteria)and 91 healthy controls.They filled the PGQ,faces pain scale revised(FPS-R),Bristol stool chart,ga-strointestinal symptoms rating scale,state-trait anxiety inventory,Toronto alexithymia scale 20,perceived self-efficacy in the management of negative emotions and expression of positive emotions(APEN-G,APEP-G),irritable bowel syndrome-quality of life questionnaire,school performances,tobacco use,early life events,degree of digital-ization.RESULTS Compared to controls,patients had more medical examinations(35%of them went to the doctor more than five times),a higher school performance(23%vs 13%,P<0.05),didn’t use tobacco(never vs 16%,P<0.05),had early life events(28%vs 1%P<0.05)and a higher percentage of pain classified as 4 in the FPS-R during the examination(14%vs 7%,P<0.05).CONCLUSION Pediatric outpatients with DGBI had a higher prevalence of early life events,a lower quality of life,more medical examinations rising health care costs,lower anxiety levels.展开更多
Several optimization methods,such as Particle Swarm Optimization(PSO)and Genetic Algorithm(GA),are used to select the most suitable Static Synchronous Compensator(STATCOM)technology for the optimal operation of the po...Several optimization methods,such as Particle Swarm Optimization(PSO)and Genetic Algorithm(GA),are used to select the most suitable Static Synchronous Compensator(STATCOM)technology for the optimal operation of the power system,as well as to determine its optimal location and size to minimize power losses.An IEEE 14 bus system,integrating three wind turbines based on Squirrel Cage Induction Generators(SCIGs),is used to test the applicability of the proposed algorithms.The results demonstrate that these algorithms are capable of selecting the most appropriate technology while optimally sizing and locating the STATCOM to reduce power losses in the network.Specifically,the optimized STATCOM allocation using the Particle Swarm Optimization(PSO)achieves a 7.44%reduction in total active power loss compared to the optimized allocation using the Genetic Algorithm(GA).Furthermore,the voltage magnitudes at buses 4,9,and 10,which initially had exceeded the upper voltage limit,were reduced and brought within acceptable ranges,thereby improving the system’s overall voltage profile.Consequently,the optimal allocation of the STATCOM significantly enhances the efficiency and performance of the power network.展开更多
Fan deltas are usually constructed through episodic flood event with debris flow transforming to hyper-concentrated flow during sediments proceeding. However, the role of topography in controlling the flow transformat...Fan deltas are usually constructed through episodic flood event with debris flow transforming to hyper-concentrated flow during sediments proceeding. However, the role of topography in controlling the flow transformation and sediments aggradation has been less studied. This constrain studies of sediment distribution and understanding of graded profile. For lake basin sequences, geomorphological control is much stronger than lake level rise and fall. Under extreme conditions, sediments can still prograde when the lake level rises. Therefore, describing the influence of geomorphology on the flow transformation and stacking pattern of the lobes can provide a deeper understanding of the controlling factors of the lake basin stratigraphy sequence. Xiligou lake (XLG) fan delta from Xisai Basin provides an optimal case for addressing this issue. Three lobes developed on the XLG fan delta with significant differences in their morphologies, architectures, lithofacies, sediment distributions and topographies. Through trenching, drone photography, and satellite data, we analyzed the structure of the sediments and the distribution of sedimentary facies. Based on the analysis of debris flow and hyper-concentrated flow deposits, two transformation models corresponding to different topographies were established. Sediment unloading is caused by a frictional reduction or a sudden momentum loss in the sediments flow's carrying capacity, allowing the debris flow transforms to hyper-concentrated flow and then to stream flow during the movement. The role of topography in controlling sediment flow transformation and sediment distribution is clarified through forces analysis of sediment grain. The topographic gradient of the linear slope is constant, so the direction of fluid movement is consistent with the topographic direction. Therefore, sediment flows move on linear slope without collision with the bed and there is no sudden loss of momentum. The gradual or sudden reduction in topographic gradient of concave slopes forces a constant or sudden change in the direction of fluid movement, which facilitates the unloading of sediments and the transformation of flow. The sudden change of topography forces unloading of viscous component, and the non-viscous component pass over to form hyper-concentrated flow, often accompanied by remobilized large gravels. The graded profile was an equilibrium between the dynamics and resistance of sediment transport. Changes in lake level affect the graded profile by changing the elevation of sediment transport, which is the total gravitational potential energy. The instantaneous graded profile and temporary graded profile are different scales of equilibrium corresponding to hydrodynamic equilibrium and depositional trend respectively. This study reveals the role of geomorphological dynamics in controlling sedimentary body progradation, thus providing a new perspective on the analysis of lake basin stratigraphy sequence.展开更多
Purpose It is essential to investigate the audiological profiles of Williams syndrome in a multicultural context.This study aims to examine the characteristics and management of hearing loss in Chinese children with W...Purpose It is essential to investigate the audiological profiles of Williams syndrome in a multicultural context.This study aims to examine the characteristics and management of hearing loss in Chinese children with Williams syndrome and provide references for future clinical management.Method Between January 2007 and March 2022,families with at least 1 WS patient was recruited from the Newborn Cohort Study of Hearing Loss.Audiological tests were performed,and then appropriate medical management was offered.Furthermore,an overview of the hearing loss phenotype in Williams syndrome in different locations was reviewed.Results A total of two families with at least 1 Williams syndrome patient were recruited from the Newborn Cohort Study of Hearing Loss(ChiCTR2100049765).We identified moderately severe sensorineural or conductive hearing loss that emerged as early as the infancy period in Williams syndrome subjects in Chinese children.Our results extended the reported onset ages of hearing loss in WS from late childhood or early adulthood to the infancy period.We also found that with early diagnosis,proper management,and regular monitoring,children with Williams syndrome could return to a normal or near-normal school life.Conclusions Our study demonstrated the distinct hearing profile in Chinese children with Williams syndrome for the first time.This cohort of WS subjects extends the reported onset ages of hearing loss in WS from late childhood or early adulthood to the infancy period,indicating the importance of clinicians screening and monitoring the hearing status of individuals with WS as early as possible.These data provide references for otolaryngologists and paediatricians to inform the clinical understanding and management of hearing loss in Williams syndrome.展开更多
Background:Social anxiety is prevalent among adolescents and severely impacts their mental health and social functioning.This study aims to explore the underlying mechanisms and subgroup differences in adolescent soci...Background:Social anxiety is prevalent among adolescents and severely impacts their mental health and social functioning.This study aims to explore the underlying mechanisms and subgroup differences in adolescent social anxiety to provide a theoretical basis for targeted interventions.Methods:3025 Chinese adolescents(Meanage=13.91±1.60 years;47%male)completed self-report measures of physical activity,core self-evaluation,and social anxiety.Variable-centered analyses employed PROCESS Model 4 with 5000 bootstrap samples;covariates were gender,grade,and place of residence.Person-centered analyses used latent profile analysis in Mplus 8.3 to identify subgroups based on social anxiety item profiles.Results:Variable-centered analyses showed that physical activity had a significant negative association with social anxiety(β=−0.224,p<0.001)and a significant positive association with core self-evaluation(β=0.471,p<0.001);core self-evaluation partially mediated this relationship,accounting for 30%of the total effect.Person-centered analyses revealed an optimal two-profile solution:a low social anxiety profile(89.6%)and a high social anxiety profile(10.4%).The high social anxiety profile reported significantly lower physical activity and lower core self-evaluation than the low social anxiety profile.Conclusions:This study integrates variable-centered and person-centered evidence,identifies physical activity and core self-evaluation as key modifiable factors in reducing social anxiety,providing a theoretical basis for targeted and differentiated interventions.展开更多
This study proposes a learner profile framework based on multi-feature fusion,aiming to enhance the precision of personalized learning recommendations by integrating learners’static attributes(e.g.,demographic data a...This study proposes a learner profile framework based on multi-feature fusion,aiming to enhance the precision of personalized learning recommendations by integrating learners’static attributes(e.g.,demographic data and historical academic performance)with dynamic behavioral patterns(e.g.,real-time interactions and evolving interests over time).The research employs Term Frequency-Inverse Document Frequency(TF-IDF)for semantic feature extraction,integrates the Analytic Hierarchy Process(AHP)for feature weighting,and introduces a time decay function inspired by Newton’s law of cooling to dynamically model changes in learners’interests.Empirical results demonstrate that this framework effectively captures the dynamic evolution of learners’behaviors and provides context-aware learning resource recommendations.The study introduces a novel paradigm for learner modeling in educational technology,combining methodological innovation with a scalable technical architecture,thereby laying a foundation for the development of adaptive learning systems.展开更多
The wetting phenomenon of composite substrates in hypergravitational environment has a huge application in electronic devices and astronaut healthcare in aerospace missions.In the present contribution,the governing eq...The wetting phenomenon of composite substrates in hypergravitational environment has a huge application in electronic devices and astronaut healthcare in aerospace missions.In the present contribution,the governing equation of high-G droplets on the composite substrate is firstly established in the hypergravitational environment.Meanwhile,the apparent contact angles at the contact line between droplets and substrates with different stiffness gradients are achieved.Then,we analyze the effects of hypergravity factor and the substrate stiffness on the wetting profile of high-G droplets.By introducing the droplet volume and contact angle into the Bond number,the scaling law of the high-G droplet profile is established,and we find that the contact radius of the droplet R/S^(0.5)has a linear relationship withρω^(2)rl^(2)S/(γ_(LV)^(θ)),while the droplet height H/S^(0.5)has a power-law relationship withρω^(2)rl^(2)S/(γ_(LV)^(θ)).Finally,we explain the profiles of high-G droplets during the wetting process by illustrating energy components of the entire system and find that the substrate with positive triangular stiffness and inverted triangular stiffness show opposite evolution laws.On a substrate with inverted triangular stiffness,the gravitational potential energy is more dominant.展开更多
The operation furnace profile for the high heat load zone was one of the important factors affecting the stable and high-quality production of the blast furnace,but it was difficult to monitor directly.To address this...The operation furnace profile for the high heat load zone was one of the important factors affecting the stable and high-quality production of the blast furnace,but it was difficult to monitor directly.To address this issue,an online calculation model for the operation furnace profile was proposed based on a dual-driven approach combining data and mechanisms,by integrating mechanism experiment,numerical simulation,and machine learning.The experimentally determined slag layer hanging temperature was 1130℃,and the thermal conductivity ranged from 1.32 to 1.96 m^(2)℃^(-1).Based on the 3D slag-hanging numerical simulation model,a database was constructed,containing 2294 sets of mechanism cases for the slag layer.The fusion of data modeling,heat transfer theory,and expert experience enabled the online calculation of key input variables for the operation furnace profile,particularly the quantification of the“black-box”variable of gas temperature.Simulated data were used as inputs,and light gradient boosting machine was applied to construct the online calculation model for the operation furnace profile.This model facilitated the online calculation of the slag layer thickness and other key indices.The coefficient of determination of the model exceeded 0.98,indicating high accuracy.A slag layer state judgment model was constructed,categorizing states as shedding,too thin,normal,and too thick.Real-time data were applied,and the average slag thickness in the high heat load area of the test data ranged from 40 to 80 mm,which was consistent with field experience.The absolute value of the Pearson correlation coefficient between slag layer thickness,thermocouple temperature,and heat load data was above 0.85,indicating that the calculated results closely aligned with the actual trends.A 3D visual online monitoring system for the operation furnace profile was created,and it has been successfully implemented at the blast furnace site.展开更多
The traditional orbit determination method based on pulsar profile distortion can determine the six elements of the orbit.However,the estimation accuracies of these methods are limited and the computational load of a ...The traditional orbit determination method based on pulsar profile distortion can determine the six elements of the orbit.However,the estimation accuracies of these methods are limited and the computational load of a six-dimensional search is huge.To solve this problem,the differential-geometry-based Multi-dimensional Joint Position-Velocity Estimation(MJPVE)using Crab pulsar profile distortion is proposed in this paper.Firstly,through theoretical analysis,it is found that the pulsar profile distortion caused by the initial state error in some joint positionvelocity directions is very small.In other words,the accuracies of estimation in these directions are very low.Namely,the search dimension can be reduced,which in turn greatly reduces the computational load.Then,we construct the chi-squared function of the pulsar profile with respect to the estimation error in joint position-velocity direction and use differential geometry to find the joint position-velocity directions corresponding to different degrees of distortion.Finally,we utilize the grid search based on directory folding in these joint position-velocity directions corresponding to large degrees of distortion to obtain the joint position-velocity estimation.The experimental results show that compared with the grouping bi-chi-squared inversion method,MJPVE has high precision and extensive navigation information.展开更多
This study investigates the complex heat transfer dynamics inmultilayer bifacial photovoltaic(bPV)solar modules under spectrally resolved solar irradiation.A novel numericalmodel is developed to incorporate internal h...This study investigates the complex heat transfer dynamics inmultilayer bifacial photovoltaic(bPV)solar modules under spectrally resolved solar irradiation.A novel numericalmodel is developed to incorporate internal heat generation resulting from optical absorption,grounded in the physical equations governing light-matter interactions within the module’smultilayer structure.The model accounts for reflection and transmission at each interface between adjacent layers,as well as absorption within individual layers,using the wavelength-dependent dielectric properties of constituent materials.These properties are used to calculate the spectral reflectance,transmittance,and absorption coefficients,enabling precise quantification of internal heat sources from irradiance incidents on both the front and rear surfaces of the module.The study further examines the influence of irradiance reflection on thermal behavior,evaluates the thermal impact of various supporting materials placed beneath the module,and analyzes the role of albedo in modifying heat distribution.By incorporating spectrally resolved heat generation across each layer often simplified or omitted in conventional models,the proposed approach enhances physical accuracy.The transient heat equation is solved using a one-dimensional finite difference(FD)method to produce detailed temperature profiles under multiple operating scenarios,including Standard Test Conditions(STC),Bifacial Standard Test Conditions(BSTC),Normal Operating Cell Temperature(NOCT),and Bifacial NOCT(BNOCT).The results offer valuable insights into the interplay between optical and thermal phenomena in bifacial systems,informing the design and optimization of more efficient photovoltaic technologies.展开更多
Objectives:Attachment is a profound and enduring connection to the emotion children progressively form with their parents as they mature.It significantly impacts the social and psychological development of kids and te...Objectives:Attachment is a profound and enduring connection to the emotion children progressively form with their parents as they mature.It significantly impacts the social and psychological development of kids and teenagers.This study aimed to explore the latent profiles and longitudinal transition patterns of parent-child and peer attachments among adolescents.Methods:A cohort of 914 participants from China completed the measures with a twelve-month interval.There were 46.8%boys and 53.2%girls in this survey.Latent profile analysis(LPA)was adopted to explore the distinct profiles reflecting different parent-child and peer attachment response patterns at each time point.Latent transition analysis(LTA)was used to examine the membership of distinct latent profiles and how individuals move between profiles over time.Results:Three latent profiles were found:the poor parent-child communication profile,the moderate attachment profile,and the good attachment profile.It was shown that the transition probability from the poor parent-child communication and good attachment profiles to the moderate attachment profile was higher than the transition probability between the poor parent-child communication and good attachment profiles.Patterns of parent-child and peer attachments were associated with depression and anxiety.Conclusion:This study demonstrates differences in adolescents’attachment to fathers,mothers,and peers and the need for targeted interventions for groups of adolescents with moderate levels of parent-child and peer attachment.展开更多
Objectives:Adolescents’aggression is widely studied,the underlying heterogeneity of aggression among rural Chinese boarding students remains unexplored.This study investigates the latent profiles of Chinese rural boa...Objectives:Adolescents’aggression is widely studied,the underlying heterogeneity of aggression among rural Chinese boarding students remains unexplored.This study investigates the latent profiles of Chinese rural boarding junior high school students’aggression and its correlations with moral disengagement and preference for solitude.Methods:A cross-sectional survey was conducted from 04–22 April 2022,using a convenient sampling method among 516 junior high school students from six Chinese rural boarding schools.The survey included the Aggression Questionnaire,the Moral Disengagement Scale(MDS),and the Preference for Solitude Scale(PSS).Results:Participants were divided into three latent profiles:low(36.0%),medium(50.9%),and high aggression levels(13.1%).Compared with low aggression,students who felt left-behind(minors who stay in the rural areas while one or both parents migrated to the urban areas for the work)accounted for a larger proportion in the medium aggression profile.The higher the grade level and the lower the educational level of the students’parents,the greater proportion of students in the medium and high aggression profiles.Additionally,students with high moral disengagement and preference for solitude showed a significant association with the medium aggression and high aggression profiles.Conclusions:The results demonstrate the significant group heterogeneity of aggression groups in Chinese rural boarding junior high school students.Targeted prevention and intervention measures can be carried out according to feeling left-behind,grade level,parents’education,and MDS and PSS scores.展开更多
Arrival headway,the minimum time interval between two trains that consecutively stop in the same railway yard,significantly influences overall railway capacity and becomes a bottleneck in large high-speed railway yard...Arrival headway,the minimum time interval between two trains that consecutively stop in the same railway yard,significantly influences overall railway capacity and becomes a bottleneck in large high-speed railway yards.This occurs because the leading train slows considerably along the long receiving route to the yard;while,the following train continues at top speed,creating a substantial spatial and temporal interval between them.This paper proposes a speed profile intervention(SPI)approach to reduce arrival headway.By setting appropriate speed limits in specific block sections for each train,the following train decelerates in advance,thereby shortening the interval with its predecessor.We first study the impact of speed values and locations on arrival headway theoretically,then validate our findings through a multi-agent simulation approach to quantitatively investigate the relationship between headway and SPI parameters.Simulation experiments using real-world data from the Beijing–Shanghai high-speed railway demonstrate that the SPI approach can significantly reduce arrival headway without any infrastructure modifications.To mitigate potential side effects on travel time associated with this approach,we perform an analysis that involves setting appropriate speed limit values and selecting strategic locations for their implementation.展开更多
基金supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Republic of Korea(NRF-2021S1A3A2A02096338).
文摘Background:In this study,we aimed to validate and test the reliability of the Yonsei lifestyle profile(YLP)in assessing multifaceted health lifestyle levels in a study population from the United States.Methods:The YLP-English version and health-promoting lifestyle profile II were administered to 100 individuals living in the United States.Concurrent validity was analyzed using Pearson's correlation coefficient,and discriminant validity was examined by comparing sex and age differences through t-tests and multiple variance analysis.Internal consistency was assessed using Cronbach'sαfor each sub-factor.Results:The YLP-English Version demonstrated concurrent validity with the Health-Promoting Lifestyle Profile II,showing consistent correlations for the total score(0.3,p<0.01)and frequency sub-factors(0.25-0.69,p<0.01).Among the satisfaction sub-factors,only nutrition showed a weak negative correlation(-0.19,p<0.01);all others were nonsignificant.Discriminant validity revealed no significant sex differences,but physical activity frequency varied across age groups.Internal consistency was high(Cronbach'sα=0.80-0.86).Conclusion:In this study,we validated the YLP-English version as a reliable instrument for assessing health-related lifestyle behaviors.The YLP uniquely captures both lifestyle frequency and satisfaction,offering a comprehensive perspective on health behaviors.Although this tool is currently most applicable in population-level studies,future research should establish clinical thresholds to enhance its utility in individualized health assessments and interventions.
基金Supported by Fundamental Research Funds for the Central Universities(Grant No.2019JBM050).
文摘This research aimed to overcome challenges such as high costs,lengthy optimization time,and low efficiency in resolving issues related to wheel-rail contact,rail wear,and vehicle dynamics.Based on the wheel-rail contact parameters,an optimal design method for rail grinding target profile is proposed from wear profile measurement to grinding profile design according to the actual railway track and vehicle operating conditions.We utilized Isight to create a simulation test and developed an RBF proxy model that incorporated both mechanical and geometric aspects of wheel-rail contact.By integrating rail modeling,wheel-rail contact analysis,and multi-objective optimization,we established a rail grinding optimization model that was solved using the NSGA-II algorithm.After optimization,the study achieved a 31.863%reduction in average contact stress,a 70.5%reduction in matching wear work,and a 100.391%increase in the difference in rolling radius between the wheel and rail.
基金Lin Du acknowledges the financial support provided by China Scholarship Council(CSC)via a Ph.D.Scholarship(202008510128)supported by Core Technology Project of China National Petroleum Corporation(CNPC)"Research on Thermal Miscible Flooding Technology"(2023ZG18)。
文摘CO_(2)-responsive gels,which swell upon contact with CO_(2),are widely used for profile control to plug high-permeability gas flow channels in carbon capture,utilization,and storage(CCUS)applications in oil reser-voirs.However,the use of these gels in high-temperature CCUS applications is limited due to their rever-sible swelling behavior at elevated temperatures.In this study,a novel dispersed particle gel(DPG)suspension is developed for high-temperature profile control in CCUS applications.First,we synthesize a double-network hydrogel consisting of a crosslinked polyacrylamide(PAAm)network and a crosslinked sodium alginate(SA)network.The hydrogel is then sheared in water to form a pre-prepared DPG suspen-sion.To enhance its performance,the gel particles are modified by introducing potassium methylsilan-etriolate(PMS)upon CO_(2) exposure.Comparing the particle size distributions of the modified and pre-prepared DPG suspension reveals a significant swelling of gel particles,over twice their original size.Moreover,subjecting the new DPG suspension to a 100℃ environment for 24 h demonstrates that its gel particle sizes do not decrease,confirming irreversible swelling,which is a significant advantage over the traditional CO_(2)-responsive gels.Thermogravimetric analysis further indicates improved thermal sta-bility compared to the pre-prepared DPG particles.Core flooding experiments show that the new DPG suspension achieves a high plugging efficiency of 95.3%in plugging an ultra-high permeability sandpack,whereas the pre-prepared DPG suspension achieves only 82.8%.With its high swelling ratio,irreversible swelling at high temperatures,enhanced thermal stability,and superior plugging performance,the newly developed DPG suspension in this work presents a highly promising solution for profile control in high-temperature CCUS applications.
基金National Natural Science Foundation of China(Nos.61773387 and 62022061).
文摘A segmented predictor-corrector method is proposed for hypersonic glide vehicles to address the issue of the slow computational speed of obtaining guidance commands using the traditional predictor-corrector guidance method.Firstly,an altitude-energy profile is designed,and the bank angle is derived analytically as the initial iteration value for the predictor-corrector method.The predictor-corrector guidance method has been improved by deriving an analytical form for predicting the range-to-go error,which greatly accelerates the iterative speed.Then,a segmented guidance algorithm is proposed.The above analytically predictor-corrector guidance method is adopted when the energy exceeds an energy threshold.When the energy is less than the threshold,the equidistant test method is used to calculate the bank angle command,which ensures guidance accuracy as well as computational efficiency.Additionally,an adaptive guidance cycle strategy is applied to reduce the computational time of the reentry guidance trajectory.Finally,the accuracy and robustness of the proposed method are verified through a series of simulations and Monte-Carlo experiments.Compared with the traditional integral method,the proposed method requires 75%less computation time on average and achieves a lower landing error.
基金supported by the National Natural Science Foundation of China(Grant No.72364006).
文摘Objectives:SocialNetworkAddiction(SNA)is becoming increasingly prevalent among college students;however,there remains a lack of consensus regarding the measurement tools and their optimal cutoff score.This study aims to validate the 21-item SocialNetwork Addiction Scale-Chinese(SNAS-C)in its Chinese version and to determine its optimal cutoff score for identifying potential SNA cases within the college student population.Methods:A crosssectional survey was conducted,recruiting 3387 college students.Latent profile analysis(LPA)and receiver operating characteristic(ROC)curve analysis were employed to establish the optimal cutoff score for the validated 21-item SNAS-C.Results:Three profile models were selected based on multiple statistical criteria,classifying participants into low-risk,moderate-risk,and high-risk groups.The highest-risk group was defined as“positive”for SNA,while the remaining groups were considered“negative”,serving as the reference standard for ROC analysis.The optimal cutoff score was determined to be 72(sensitivity:98.2%,specificity:96.86%),with an overall classification accuracy of 97.0%.The“positive”group reported significantly higher frequency of social network usage,greater digitalmedia dependence scores,and a higher incidence of network addiction.Conclusion:This study identified the optimal cutoff score for the SNAS-C as≥72,demonstrating high sensitivity,specificity,and diagnostic accuracy.This threshold effectively distinguishes between high-risk and low-risk SNA.
基金the National Natural Science Foundation of China(No.52275378)the National Key Laboratory for Precision Hot Processing of Metals(6142909200208)。
文摘The big-tapered profiled ring disk is a key component of engines for rockets and missiles.A new forming technology,as called spinning-rolling process,has been proposed previously for the high performance,high efficiency and low-cost manufacturing of the component.Blank design is the key part of plastic forming process design.For spinning-rolling process,the shape and size of the blank play a crucial role in process stability,deformation behavior and dimensional accuracy.So this work proposes a blank design method to determine the geometry structure and sizes of the blank.The mathematical model for calculating the blank size has been deduced based on volume conservation and neutral layer length invariance principle.The FE simulation and corresponding trial production of an actual big-tapered profiled ring disk show that the proposed blank design method is applicative.In order to obtain a preferred blank,the influence rules of blank size determined by different deformation degrees(rolling ratio k)on the spinning-rolling process are revealed by comprehensive FE simulations.Overall considering the process stability,circularity of the deformed ring disk and forming forces,a reasonable range of deformation degree(rolling ratio k)is recommended for the blank design of the new spinning-rolling process.
文摘BACKGROUND Disorders of gut-brain interaction(DGBI)are common,but knowledge about their physiopathology is still poor,nor valid tools have been used to evaluate them in childhood.AIM To develop a psycho-gastroenterological questionnaire(PGQ)to assess the psycho-gastroenterological profile and social characteristics of a pediatric population with and without DGBI.METHODS One hundred and nineteen Italian children(age 11-18)were included:28 outpatient patients with DGBI(Rome IV criteria)and 91 healthy controls.They filled the PGQ,faces pain scale revised(FPS-R),Bristol stool chart,ga-strointestinal symptoms rating scale,state-trait anxiety inventory,Toronto alexithymia scale 20,perceived self-efficacy in the management of negative emotions and expression of positive emotions(APEN-G,APEP-G),irritable bowel syndrome-quality of life questionnaire,school performances,tobacco use,early life events,degree of digital-ization.RESULTS Compared to controls,patients had more medical examinations(35%of them went to the doctor more than five times),a higher school performance(23%vs 13%,P<0.05),didn’t use tobacco(never vs 16%,P<0.05),had early life events(28%vs 1%P<0.05)and a higher percentage of pain classified as 4 in the FPS-R during the examination(14%vs 7%,P<0.05).CONCLUSION Pediatric outpatients with DGBI had a higher prevalence of early life events,a lower quality of life,more medical examinations rising health care costs,lower anxiety levels.
文摘Several optimization methods,such as Particle Swarm Optimization(PSO)and Genetic Algorithm(GA),are used to select the most suitable Static Synchronous Compensator(STATCOM)technology for the optimal operation of the power system,as well as to determine its optimal location and size to minimize power losses.An IEEE 14 bus system,integrating three wind turbines based on Squirrel Cage Induction Generators(SCIGs),is used to test the applicability of the proposed algorithms.The results demonstrate that these algorithms are capable of selecting the most appropriate technology while optimally sizing and locating the STATCOM to reduce power losses in the network.Specifically,the optimized STATCOM allocation using the Particle Swarm Optimization(PSO)achieves a 7.44%reduction in total active power loss compared to the optimized allocation using the Genetic Algorithm(GA).Furthermore,the voltage magnitudes at buses 4,9,and 10,which initially had exceeded the upper voltage limit,were reduced and brought within acceptable ranges,thereby improving the system’s overall voltage profile.Consequently,the optimal allocation of the STATCOM significantly enhances the efficiency and performance of the power network.
基金the Natural Science Foundation of China(42272124)the National Key R&D Program of China(2023YFF0804302)Quantitative anatomy of shallow fan deltas in western China project directed by Research Institute of Petroleum Exploration and Development(2020D-5008-03).
文摘Fan deltas are usually constructed through episodic flood event with debris flow transforming to hyper-concentrated flow during sediments proceeding. However, the role of topography in controlling the flow transformation and sediments aggradation has been less studied. This constrain studies of sediment distribution and understanding of graded profile. For lake basin sequences, geomorphological control is much stronger than lake level rise and fall. Under extreme conditions, sediments can still prograde when the lake level rises. Therefore, describing the influence of geomorphology on the flow transformation and stacking pattern of the lobes can provide a deeper understanding of the controlling factors of the lake basin stratigraphy sequence. Xiligou lake (XLG) fan delta from Xisai Basin provides an optimal case for addressing this issue. Three lobes developed on the XLG fan delta with significant differences in their morphologies, architectures, lithofacies, sediment distributions and topographies. Through trenching, drone photography, and satellite data, we analyzed the structure of the sediments and the distribution of sedimentary facies. Based on the analysis of debris flow and hyper-concentrated flow deposits, two transformation models corresponding to different topographies were established. Sediment unloading is caused by a frictional reduction or a sudden momentum loss in the sediments flow's carrying capacity, allowing the debris flow transforms to hyper-concentrated flow and then to stream flow during the movement. The role of topography in controlling sediment flow transformation and sediment distribution is clarified through forces analysis of sediment grain. The topographic gradient of the linear slope is constant, so the direction of fluid movement is consistent with the topographic direction. Therefore, sediment flows move on linear slope without collision with the bed and there is no sudden loss of momentum. The gradual or sudden reduction in topographic gradient of concave slopes forces a constant or sudden change in the direction of fluid movement, which facilitates the unloading of sediments and the transformation of flow. The sudden change of topography forces unloading of viscous component, and the non-viscous component pass over to form hyper-concentrated flow, often accompanied by remobilized large gravels. The graded profile was an equilibrium between the dynamics and resistance of sediment transport. Changes in lake level affect the graded profile by changing the elevation of sediment transport, which is the total gravitational potential energy. The instantaneous graded profile and temporary graded profile are different scales of equilibrium corresponding to hydrodynamic equilibrium and depositional trend respectively. This study reveals the role of geomorphological dynamics in controlling sedimentary body progradation, thus providing a new perspective on the analysis of lake basin stratigraphy sequence.
基金supported by the grants of the National Key Research and Development Program of China(Grant No.2023YFC2508400)the National Natural Science Foundation of China(Grant No.82350005).
文摘Purpose It is essential to investigate the audiological profiles of Williams syndrome in a multicultural context.This study aims to examine the characteristics and management of hearing loss in Chinese children with Williams syndrome and provide references for future clinical management.Method Between January 2007 and March 2022,families with at least 1 WS patient was recruited from the Newborn Cohort Study of Hearing Loss.Audiological tests were performed,and then appropriate medical management was offered.Furthermore,an overview of the hearing loss phenotype in Williams syndrome in different locations was reviewed.Results A total of two families with at least 1 Williams syndrome patient were recruited from the Newborn Cohort Study of Hearing Loss(ChiCTR2100049765).We identified moderately severe sensorineural or conductive hearing loss that emerged as early as the infancy period in Williams syndrome subjects in Chinese children.Our results extended the reported onset ages of hearing loss in WS from late childhood or early adulthood to the infancy period.We also found that with early diagnosis,proper management,and regular monitoring,children with Williams syndrome could return to a normal or near-normal school life.Conclusions Our study demonstrated the distinct hearing profile in Chinese children with Williams syndrome for the first time.This cohort of WS subjects extends the reported onset ages of hearing loss in WS from late childhood or early adulthood to the infancy period,indicating the importance of clinicians screening and monitoring the hearing status of individuals with WS as early as possible.These data provide references for otolaryngologists and paediatricians to inform the clinical understanding and management of hearing loss in Williams syndrome.
基金The Ministry of Education of China supported this work under the Humanities and Social Sciences Research Project for Young Scholars(Grant No.20YJC890020).
文摘Background:Social anxiety is prevalent among adolescents and severely impacts their mental health and social functioning.This study aims to explore the underlying mechanisms and subgroup differences in adolescent social anxiety to provide a theoretical basis for targeted interventions.Methods:3025 Chinese adolescents(Meanage=13.91±1.60 years;47%male)completed self-report measures of physical activity,core self-evaluation,and social anxiety.Variable-centered analyses employed PROCESS Model 4 with 5000 bootstrap samples;covariates were gender,grade,and place of residence.Person-centered analyses used latent profile analysis in Mplus 8.3 to identify subgroups based on social anxiety item profiles.Results:Variable-centered analyses showed that physical activity had a significant negative association with social anxiety(β=−0.224,p<0.001)and a significant positive association with core self-evaluation(β=0.471,p<0.001);core self-evaluation partially mediated this relationship,accounting for 30%of the total effect.Person-centered analyses revealed an optimal two-profile solution:a low social anxiety profile(89.6%)and a high social anxiety profile(10.4%).The high social anxiety profile reported significantly lower physical activity and lower core self-evaluation than the low social anxiety profile.Conclusions:This study integrates variable-centered and person-centered evidence,identifies physical activity and core self-evaluation as key modifiable factors in reducing social anxiety,providing a theoretical basis for targeted and differentiated interventions.
基金This work is supported by the Ministry of Education of Humanities and Social Science projects in China(No.20YJCZH124)Guangdong Province Education and Teaching Reform Project No.640:Research on the Teaching Practice and Application of Online Peer Assessment Methods in the Context of Artificial Intelligence.
文摘This study proposes a learner profile framework based on multi-feature fusion,aiming to enhance the precision of personalized learning recommendations by integrating learners’static attributes(e.g.,demographic data and historical academic performance)with dynamic behavioral patterns(e.g.,real-time interactions and evolving interests over time).The research employs Term Frequency-Inverse Document Frequency(TF-IDF)for semantic feature extraction,integrates the Analytic Hierarchy Process(AHP)for feature weighting,and introduces a time decay function inspired by Newton’s law of cooling to dynamically model changes in learners’interests.Empirical results demonstrate that this framework effectively captures the dynamic evolution of learners’behaviors and provides context-aware learning resource recommendations.The study introduces a novel paradigm for learner modeling in educational technology,combining methodological innovation with a scalable technical architecture,thereby laying a foundation for the development of adaptive learning systems.
基金supported by the National Natural Science Foundation of China(Grant Nos.12322206,12272340,and 11925206)Basic Science Center Program for Multiphase Media Evolution in Hypergravity of the National Natural Science Foundation of China(Grant No.51988101)the Zhejiang Provincial Natural Science Foundation of China(Grant No.LD21A020002).
文摘The wetting phenomenon of composite substrates in hypergravitational environment has a huge application in electronic devices and astronaut healthcare in aerospace missions.In the present contribution,the governing equation of high-G droplets on the composite substrate is firstly established in the hypergravitational environment.Meanwhile,the apparent contact angles at the contact line between droplets and substrates with different stiffness gradients are achieved.Then,we analyze the effects of hypergravity factor and the substrate stiffness on the wetting profile of high-G droplets.By introducing the droplet volume and contact angle into the Bond number,the scaling law of the high-G droplet profile is established,and we find that the contact radius of the droplet R/S^(0.5)has a linear relationship withρω^(2)rl^(2)S/(γ_(LV)^(θ)),while the droplet height H/S^(0.5)has a power-law relationship withρω^(2)rl^(2)S/(γ_(LV)^(θ)).Finally,we explain the profiles of high-G droplets during the wetting process by illustrating energy components of the entire system and find that the substrate with positive triangular stiffness and inverted triangular stiffness show opposite evolution laws.On a substrate with inverted triangular stiffness,the gravitational potential energy is more dominant.
基金financially supported by the National Natural Science Foundation of China(Grant Nos.52404343 and 52274326)the Fundamental Research Funds for the Central Universities(Grant Nos.N2425031 and N25BJD007)+1 种基金the China Postdoctoral Science Foundation(Grant No.2024M760370)the Liaoning Province Science and Technology Plan Joint Program(Key Research and Development Program Project)(Grant No.2023JH2/101800058).
文摘The operation furnace profile for the high heat load zone was one of the important factors affecting the stable and high-quality production of the blast furnace,but it was difficult to monitor directly.To address this issue,an online calculation model for the operation furnace profile was proposed based on a dual-driven approach combining data and mechanisms,by integrating mechanism experiment,numerical simulation,and machine learning.The experimentally determined slag layer hanging temperature was 1130℃,and the thermal conductivity ranged from 1.32 to 1.96 m^(2)℃^(-1).Based on the 3D slag-hanging numerical simulation model,a database was constructed,containing 2294 sets of mechanism cases for the slag layer.The fusion of data modeling,heat transfer theory,and expert experience enabled the online calculation of key input variables for the operation furnace profile,particularly the quantification of the“black-box”variable of gas temperature.Simulated data were used as inputs,and light gradient boosting machine was applied to construct the online calculation model for the operation furnace profile.This model facilitated the online calculation of the slag layer thickness and other key indices.The coefficient of determination of the model exceeded 0.98,indicating high accuracy.A slag layer state judgment model was constructed,categorizing states as shedding,too thin,normal,and too thick.Real-time data were applied,and the average slag thickness in the high heat load area of the test data ranged from 40 to 80 mm,which was consistent with field experience.The absolute value of the Pearson correlation coefficient between slag layer thickness,thermocouple temperature,and heat load data was above 0.85,indicating that the calculated results closely aligned with the actual trends.A 3D visual online monitoring system for the operation furnace profile was created,and it has been successfully implemented at the blast furnace site.
基金supported in part by the National Natural Science Foundation of China(Nos.61873196,62373030,61772187)the Innovation Program for Quantum Science and Technology(No.2021ZD0303400)。
文摘The traditional orbit determination method based on pulsar profile distortion can determine the six elements of the orbit.However,the estimation accuracies of these methods are limited and the computational load of a six-dimensional search is huge.To solve this problem,the differential-geometry-based Multi-dimensional Joint Position-Velocity Estimation(MJPVE)using Crab pulsar profile distortion is proposed in this paper.Firstly,through theoretical analysis,it is found that the pulsar profile distortion caused by the initial state error in some joint positionvelocity directions is very small.In other words,the accuracies of estimation in these directions are very low.Namely,the search dimension can be reduced,which in turn greatly reduces the computational load.Then,we construct the chi-squared function of the pulsar profile with respect to the estimation error in joint position-velocity direction and use differential geometry to find the joint position-velocity directions corresponding to different degrees of distortion.Finally,we utilize the grid search based on directory folding in these joint position-velocity directions corresponding to large degrees of distortion to obtain the joint position-velocity estimation.The experimental results show that compared with the grouping bi-chi-squared inversion method,MJPVE has high precision and extensive navigation information.
文摘This study investigates the complex heat transfer dynamics inmultilayer bifacial photovoltaic(bPV)solar modules under spectrally resolved solar irradiation.A novel numericalmodel is developed to incorporate internal heat generation resulting from optical absorption,grounded in the physical equations governing light-matter interactions within the module’smultilayer structure.The model accounts for reflection and transmission at each interface between adjacent layers,as well as absorption within individual layers,using the wavelength-dependent dielectric properties of constituent materials.These properties are used to calculate the spectral reflectance,transmittance,and absorption coefficients,enabling precise quantification of internal heat sources from irradiance incidents on both the front and rear surfaces of the module.The study further examines the influence of irradiance reflection on thermal behavior,evaluates the thermal impact of various supporting materials placed beneath the module,and analyzes the role of albedo in modifying heat distribution.By incorporating spectrally resolved heat generation across each layer often simplified or omitted in conventional models,the proposed approach enhances physical accuracy.The transient heat equation is solved using a one-dimensional finite difference(FD)method to produce detailed temperature profiles under multiple operating scenarios,including Standard Test Conditions(STC),Bifacial Standard Test Conditions(BSTC),Normal Operating Cell Temperature(NOCT),and Bifacial NOCT(BNOCT).The results offer valuable insights into the interplay between optical and thermal phenomena in bifacial systems,informing the design and optimization of more efficient photovoltaic technologies.
基金funded by the Shihezi University Innovation and Development Special Project“Research and Application of Knowledge Graph Based Big Data Platform for the Development Trend of College Students’Mental Health”(CXFZSK202205)by the China Young Pioneers Research Topic General Topic(2022YB16).
文摘Objectives:Attachment is a profound and enduring connection to the emotion children progressively form with their parents as they mature.It significantly impacts the social and psychological development of kids and teenagers.This study aimed to explore the latent profiles and longitudinal transition patterns of parent-child and peer attachments among adolescents.Methods:A cohort of 914 participants from China completed the measures with a twelve-month interval.There were 46.8%boys and 53.2%girls in this survey.Latent profile analysis(LPA)was adopted to explore the distinct profiles reflecting different parent-child and peer attachment response patterns at each time point.Latent transition analysis(LTA)was used to examine the membership of distinct latent profiles and how individuals move between profiles over time.Results:Three latent profiles were found:the poor parent-child communication profile,the moderate attachment profile,and the good attachment profile.It was shown that the transition probability from the poor parent-child communication and good attachment profiles to the moderate attachment profile was higher than the transition probability between the poor parent-child communication and good attachment profiles.Patterns of parent-child and peer attachments were associated with depression and anxiety.Conclusion:This study demonstrates differences in adolescents’attachment to fathers,mothers,and peers and the need for targeted interventions for groups of adolescents with moderate levels of parent-child and peer attachment.
基金the General project of the“14th Five-Year Plan”of Education Science of Gansu Province in 2023:“Research on the Integration Strategy of Rural Primary School Labor Education and Other Disciplines under the Background of Rural Revitalization”(Project number:GS[2023]GHB1420)Gansu Provincial University Curriculum Ideological and Political Demonstration Project“Exploration and Practice of Ideological and Political Courses in Pre-School EducationMajors from the Perspective of Three Educations:A Case study of Pre-School EducationHistory”(Project No.:GSkcsz-2021-094).
文摘Objectives:Adolescents’aggression is widely studied,the underlying heterogeneity of aggression among rural Chinese boarding students remains unexplored.This study investigates the latent profiles of Chinese rural boarding junior high school students’aggression and its correlations with moral disengagement and preference for solitude.Methods:A cross-sectional survey was conducted from 04–22 April 2022,using a convenient sampling method among 516 junior high school students from six Chinese rural boarding schools.The survey included the Aggression Questionnaire,the Moral Disengagement Scale(MDS),and the Preference for Solitude Scale(PSS).Results:Participants were divided into three latent profiles:low(36.0%),medium(50.9%),and high aggression levels(13.1%).Compared with low aggression,students who felt left-behind(minors who stay in the rural areas while one or both parents migrated to the urban areas for the work)accounted for a larger proportion in the medium aggression profile.The higher the grade level and the lower the educational level of the students’parents,the greater proportion of students in the medium and high aggression profiles.Additionally,students with high moral disengagement and preference for solitude showed a significant association with the medium aggression and high aggression profiles.Conclusions:The results demonstrate the significant group heterogeneity of aggression groups in Chinese rural boarding junior high school students.Targeted prevention and intervention measures can be carried out according to feeling left-behind,grade level,parents’education,and MDS and PSS scores.
基金supported by the National Natural Science Foundation of China(Nos.52232011 and 52272324)the National Natural Science Foundation of Sichuan Province(No.2022NSFSC0397).
文摘Arrival headway,the minimum time interval between two trains that consecutively stop in the same railway yard,significantly influences overall railway capacity and becomes a bottleneck in large high-speed railway yards.This occurs because the leading train slows considerably along the long receiving route to the yard;while,the following train continues at top speed,creating a substantial spatial and temporal interval between them.This paper proposes a speed profile intervention(SPI)approach to reduce arrival headway.By setting appropriate speed limits in specific block sections for each train,the following train decelerates in advance,thereby shortening the interval with its predecessor.We first study the impact of speed values and locations on arrival headway theoretically,then validate our findings through a multi-agent simulation approach to quantitatively investigate the relationship between headway and SPI parameters.Simulation experiments using real-world data from the Beijing–Shanghai high-speed railway demonstrate that the SPI approach can significantly reduce arrival headway without any infrastructure modifications.To mitigate potential side effects on travel time associated with this approach,we perform an analysis that involves setting appropriate speed limit values and selecting strategic locations for their implementation.
