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
Background:This study addresses the pressing need to understand the nuanced relationship between‘mattering’—the perception of being significant to others—and problematic internet use(PIU)among university students....Background:This study addresses the pressing need to understand the nuanced relationship between‘mattering’—the perception of being significant to others—and problematic internet use(PIU)among university students.Unlike previous research that has primarily employed variable-centered approaches,this study first adopts a person-centered approach using Latent Profile Analysis(LPA)to identify distinct mattering profiles.Subsequently,through variable-centered analyses,these profiles are examined in relation to different types of PIU—specifically problematic social media use(PSMU)and problematic gaming(PG)—as well as adaptability.Methods:Data were collected from 3587 university students across 19 universities in China.Participants completed three mattering-related scales(General Mattering Scale,Anti-Mattering Scale,and Fear of Not Mattering Inventory),along with the Bergen Social Media Addiction Scale,the Internet Gaming Disorder Scale-Short Form,and the Nine-item Adaptability Scale.Results:A four-class model identified by LPA was optimally selected:Class 1(high general mattering,low anti-mattering,low fear of not mattering),Class 2(moderate levels),Class 3(moderate general mattering,high antimattering,high fear of not mattering),and Class 4(low general mattering,low fear of not mattering,moderate anti-mattering).Significant differences were found among these classes in both PIU types(PSMU:F=139.66,p<0.001;PG:F=162.96,p<0.001).The pattern of mean differences consistently showed:Class 3>Class 2>Class 4>Class 1.Class 3 participants demonstrated the highest likelihood of meeting the addiction criteria,Class 2 showed moderate probability,while Classes 1 and 4 exhibited lower probabilities(χ^(2)=113.38 to 408.87,all p<0.001).Additionally,Class 3 reported the lowest adaptability(F=131.67,p<0.001).Conclusion:This study reveals that the unique influence of three ways of assessing feelings of mattering and the fear of not mattering on university students’PIU at the personal level,concluding that these factors are integral to understanding PIU among this demographic.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
BACKGROUND Non-suicidal self-injury(NSSI)is common among adolescents and frequently cooccurs with depression.Understanding the distinct patterns of NSSI behaviors,along with their associated risk and protective factor...BACKGROUND Non-suicidal self-injury(NSSI)is common among adolescents and frequently cooccurs with depression.Understanding the distinct patterns of NSSI behaviors,along with their associated risk and protective factors,is crucial for developing effective interventions.AIM To classify NSSI behaviors and examine interactions between risk and resilience factors in Chinese adolescents.METHODS A cross-sectional study involving 3967 Chinese students(51.7%female,mean age 13.58±2.24 years)who completed questionnaires on parenting styles,bullying,childhood maltreatment,depression,resilience,and NSSI.Latent profile analysis(LPA)was used to identify NSSI subtypes,and network analysis explored interactions between risk and resilience factors.RESULTS Three NSSI subtypes were identified:NSSI with depression(18.8%),NSSI without depression(12.3%),and neither(68.9%).Bullying was the central risk factor across subtypes,while emotional control and family support were key protective factors.Statistical analyses showed significant differences between groups(P<0.001).CONCLUSION This study identified three NSSI subtypes among Chinese adolescents.Bullying emerged as a central risk factor,while emotional control and family support were key protective factors.Targeting these areas may help reduce NSSI behaviors in this population.展开更多
Objective:To understand the latent categories of perceived stress in colorectal cancer patients and analyze the characteristics of different categories of patients.Methods:A total of 255 colorectal cancer patients rec...Objective:To understand the latent categories of perceived stress in colorectal cancer patients and analyze the characteristics of different categories of patients.Methods:A total of 255 colorectal cancer patients receiving treatment in the gastrointestinal surgery and oncology depar tments of a ter tiary Grade A hospital in Sichuan Province,from January 2023 to June 2023,were selected as the study subjects.General information questionnaire,Chinese version of the Perceived Stress Scale(CPSS),and Comprehensive Score Table for Patient-Repor ted Outcome Measures of Economic Toxicity(COST-PROM)were used for data collection.Results:Perceived stress in colorectal cancer patients was classified into 3 latent categories:C1“Low stress-stable type”(19.2%),C2“Moderate stress-uncontrolled type”(23.9%),and C3“High stress-anxious type”(56.9%).The average score of perceived stress was(34.07±5.08).Compared with C1 type,patients with a monthly household income of≤3000 RMB were more likely to belong to the C2 and C3 types(P<0.05),and patients without a stoma were less likely to belong to C3 type(P<0.05).Compared with C2 type,male patients were more likely to belong to C3 type(P<0.05),and patients without a stoma were less likely to belong to C3 type(P<0.05).Compared with C3 type,patients with higher economic toxicity scores were more likely to be classified into C1 and C2 types(P<0.05).Conclusions:Perceived stress in colorectal cancer patients exhibits distinct categorical features.Male gender,lower income,presence of a stoma,and higher economic toxicity are associated with higher levels of perceived stress in colorectal cancer patients.展开更多
Objective:To explore the potential categories and influencing factors of self-advocacy in young and middle-aged patients with breast cancer and to provide a theoretical basis for personalized intervention.Methods:From...Objective:To explore the potential categories and influencing factors of self-advocacy in young and middle-aged patients with breast cancer and to provide a theoretical basis for personalized intervention.Methods:From September 2023 to March 2024,314 young and middle-aged breast cancer patients were studied.Female cancer patients were surveyed using the self-advocacy scale,social support rating scale,and chronic health literacy scale.Latent profile analysis was used to investigate the heterogeneity and influencing factors of self-advocacy.Results:Self-advocacy among young and middle-aged breast cancer patients were classified into two potential categories:low advocacy-lack of support(51.7%)and high advocacy-effective communication(48.3%).Binary logistic regression analysis indicated that educational level,per capita monthly income,social support,and health literacy were significant influencing factors of these categories(P<0.05).Conclusion:Self-advocacy in young and middle-aged breast cancer patients demonstrates categorical heterogeneity.Identifying self-advocacy characteristics and implementing targeted intervention strategies—focused on self-efficacy and improving health literacy—can enhance self-advocacy in these patients.展开更多
The purpose of this study was to understand the overall level of key competencies of medical students and explore the potential profile of key competencies, promoting quality education, and improving the quality talen...The purpose of this study was to understand the overall level of key competencies of medical students and explore the potential profile of key competencies, promoting quality education, and improving the quality talent cultivation in medical colleges. A stratified random sampling method selected 734 medical students from four medical colleges in Chongqing Province of China. A general information questionnaire and a key competencies survey questionnaire were used to conduct the survey. The overall score and scores of each dimension of key competencies were analyzed. Latent profile analysis was conducted to classify the key competencies of medical students and compare the distribution differences of demographic variables among different categories. The results showed that 26% of medical students have never heard of the concept of key competencies, and 59% of them are not familiar with the content related to key competencies. The score of key competencies is 3.66 ± 0.60, with the highest score in the dimension of responsibility and the lowest score in the dimension of humanistic accomplishment. The latent profile analysis classified them into three categories: “low key competencies group (14.71%)”, “medium key competencies group (36.79%)”, and “high key competencies group (48.50%)”. The R3STEP regression analysis results showed statistically significant differences in educational level and whether they served as student cadres among different key competencies categories of medical students. This paper discusses three different potential key competencies categories among medical students, and the overall level of key competencies is relatively good. However, medical students lack a comprehensive and systematic understanding of key competencies. Humanistic accomplishment, healthy living, and practical innovation are the three dimensions with lower scores and should be given more attention. Medical colleges should integrate the concept of key competencies into teaching and implement it in medical practice to cultivate more high-quality medical talents for society.展开更多
The present work examined the anisotropy magnitudes obtained from different elastic models of cubic metals(Cu,5383 Al alloy,FCC austenite steel and BCC steel)to explore the origin of strain anisotropy.The results show...The present work examined the anisotropy magnitudes obtained from different elastic models of cubic metals(Cu,5383 Al alloy,FCC austenite steel and BCC steel)to explore the origin of strain anisotropy.The results showed that stable intersections were observed from the modeled and experimental plots of the reciprocal elastic modulus(1/Ehkl)and orientation parameter(Γ).The effectiveness of quasi elasto-plastic model based method in correcting strain anisotropy was further verified in cold-worked specimens.For the important input parameters in dislocation model based diffraction line profile analysis methods,the average diffraction contrast factors(■)of dislocations were observed to depend on elastic constants.Interesting intersections were found from linear dependence of■onΓ.The conventional input■values indicated distinct dependencies on given elastic constants in diffraction line profile analysis.Accordingly,a refined approach was proposed by adopting the optimized intersections as input values,by which more reliable results could be obtained in practical applications.展开更多
The density,nature of the dislocations and distribution of the domain sizes in cold-deformed Pb-Ca-Sn solid solution were determined by X-ray diffraction profile analysis.The dislocation densities are of the order of ...The density,nature of the dislocations and distribution of the domain sizes in cold-deformed Pb-Ca-Sn solid solution were determined by X-ray diffraction profile analysis.The dislocation densities are of the order of 1010 cm-2.The strain broadening of diffraction profiles was accounted for by dislocation contrast factor.The coherent domain size was determined by the recently developed PM2K software package.Assuming that the domain size distribution is log-normal,the distribution function（median μ and variance σ） was calculated from the size parameters determined from X-ray diffraction profile analysis.展开更多
Cotton(Gossypium hirsutum L.) is the leading fiber crop and one of the mainstays of the economy in the world.Cotton fibers,as the main product of cotton plants,are unicellular,linear
Objectives:The study aimed to explore social alienation types in patients with inflammatorybowel diseases(IBD)and identify influencingfactors.Methods:This cross-sectional study was conducted using purposive sampling a...Objectives:The study aimed to explore social alienation types in patients with inflammatorybowel diseases(IBD)and identify influencingfactors.Methods:This cross-sectional study was conducted using purposive sampling among patients with IBD from July 2022 to July 2023.Patients were assessed using the Generalized Social Alienation Scale(GSAS),the Brief Illness Perception Questionnaire(B-IPQ),the Hospital Anxiety and Depression Scale(HADS),and the Medical Coping Modes Questionnaire(MCMQ).Demographic and disease-related characteristics were also collected.Latent profileanalysis(LPA)was used to identify potential subgroups of social alienation.Univariate analysis and multicollinearity analysis were conducted to explore the influencing factors,followed by multiple regression analysis to evaluate the effect of influencingfactors on social alienation.Results:Three distinct profilesof social alienation were identified:integrated-low alienation group(n=61,20.20%),accommodative-moderate alienation group(n=195,64.57%),and maladaptive-high alienation group(n=46,15.23%).Seven characteristics were associated with the profile’smembership:self-perceived financialstress,malnutrition risk,disease duration,illness comprehensibility,anxiety,depression,and acceptance-resignation coping mode.Conclusions:Patients with IBD were categorized into three subgroups based on social alienation levels.Financial stress,malnutrition risk,disease duration,illness comprehensibility,anxiety,depression,and acceptance-resignation coping mode were key predictors of the subgroup membership.Targeted interventions should be developed to mitigate the negative effects of social alienation,with a focus on improving illness perception,alleviating anxiety and depression,and promoting effective coping strategies.展开更多
China has a high prevalence rate of Metabolic-associated fatty liver disease(MAFLD),and there is currently limited understanding of the levels of exercise self-efficacy(ESE)among individuals with MAFLD.The objective w...China has a high prevalence rate of Metabolic-associated fatty liver disease(MAFLD),and there is currently limited understanding of the levels of exercise self-efficacy(ESE)among individuals with MAFLD.The objective was to explore the potential ESE patterns in older adults with MAFLD.A cross-sectional study was conducted on 800 older adults with fatty liver disease from five communities from April 20,2023 to August 15,2023.Latent profile analysis(LPA)and k-means clustering were used to determine the optimal number of ESE groups.Using univariate analysis and multivariate logistic regression to investigate the factors influencing profiles of ESE.A sample of 775 subjects met the diagnostic criteria for MAFLD.LPA yielded three profiles:the low-ESE,mild-ESE,and high-ESE groups,which comprised 25%,28%,and 47%of the sample,respectively.K-means clustering further supported the categorization of ESE into three distinct classes.The multivariate logistic regression analysis revealed that diabetes,arthritis and/or arthrosis,as well as companionship during PA were significant influencing factors for the different profiles(p<0.05).Our findings suggest that the ESE of older patients with MAFLD is primarily at a moderate level or above.There was population heterogeneity in ESE among older patients with MAFLD.Diabetes mellitus,arthritis,and/or arthrosis,as well as companionship during PA were significant factors in influencing the likelihood of having high ESE.展开更多
Background:In China,the policy of rotating teachers between urban and rural schools has been implemented to reduce educational disparities and ensure equitable access to quality education.These teachers face unique pr...Background:In China,the policy of rotating teachers between urban and rural schools has been implemented to reduce educational disparities and ensure equitable access to quality education.These teachers face unique professional and emotional challenges during the rotation process,making their emotional labor a critical factor influencing their job performance.This study aimed to explore the relationship between rotating teachers’emotional labor strategies and job performance.Methods:This study conducted a cross-sectional survey among 577 rotating teachers selected through stratified random sampling from primary and secondary schools in Chinese mainland.Date were collected using the Teacher Emotional Labor Scale and the Teacher Job Performance Scale.Latent profile analysis(LPA)was employed to identify distinct categories of emotional labor strategies:indifferent,moderately engaged,naturally invested,proactively adjusted,and emotionally elevated.Results:Teachers in the naturally invested and proactively adjusted types demonstrated relatively higher job performance scores,followed by those in the emotionally elevated type.In contrast,teachers in the indifferent and moderate engagement types exhibited comparatively lower scores(F=25.858,p<0.001,η^(2)=0.153).These findings indicate a practical significance,suggestion that flexible and adaptive use emotional labor strategies is strongly associated with enhanced job performance.Conclusion:This study demonstrates that rotating teachers’job performance differs significantly across distinct emotional labor profiles,with balanced and adaptive emotional regulation emerging as a key determinant of higher performance.By identifying and characterizing individual-centered emotional labor profiles,the study advances understanding of how emotional regulation contributes to teachers’professional effectiveness.These results underscore the importance of providing systematic and personalized support to help rotating teachers develop adaptive emotional regulation skills.Targeted guidance should enable teachers to appropriately express and adjust their emotions,thereby avoiding both excessive and insufficient emotional labor and promoting sustainable professional development.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
River profile analysis has been used extensively in the earth sciences. Commonly,exploration of river profiles requires downloading and processing Digital Elevation Models (DEMs) for specific areas,which limits the sc...River profile analysis has been used extensively in the earth sciences. Commonly,exploration of river profiles requires downloading and processing Digital Elevation Models (DEMs) for specific areas,which limits the scope of exploratory analysis. Presented here is a web application designed to analyze river profiles at 90m resolution at a near-global scale. The app allows users to quickly query downstream or upstream from selected points anywhere within ±60 degrees latitude,in order to interactively analyze corresponding river profiles. River profile analysis can be performed in both distance and χ space,where χ is a metric that is proportional to the presumed steady-state shape of the river profile. River locations are based on the HydroSHEDS 90m drainage direction grid,as well as custom computed D8 drainage direction and void-filled SRTM DEMs. RiverProfileApp is open source,and although currently it is designed as an exploratory tool,more functions can be easily added via community contributions and/or from existing toolsets. It is available from RiverProfileApp.github.io.展开更多
Older adults’social participation and social relationship may be affected by their partners’cognitive function.In 3,722 cognitively intact married/partnered Health and Retirement Study respondents,latent profile ana...Older adults’social participation and social relationship may be affected by their partners’cognitive function.In 3,722 cognitively intact married/partnered Health and Retirement Study respondents,latent profile analysis identified three social participation profiles(Limited overall social participation(prevalence:69%);Frequent volunteer participation(10%);Frequent non-volunteer participation(21%)),and three social relationship profiles(Social support from all relationships(68%);Mixed social support and strain from all relationships(18%);Social strain from partner with support from other relationships(14%)).Spouse/partner’s cognition was not significantly associated with social participation profiles.Impaired cognition in spouses/partners increased older adults’likelihood of perceiving social strain from their partners with support from other relationships.Frequent volunteer and non-volunteer participation and perceiving social support from all relationships predicted better self-rated health and lower odds of depressive symptoms.These findings highlight the need of community programs that promote social connectedness for older adults living with cognitively impaired spouses/partners.展开更多
Background:Depressive disorders have become a major risk factor that influences people’s health worldwide,but few studies have focused on the prevalence of depressive disorders among the Chinese elderly and their cha...Background:Depressive disorders have become a major risk factor that influences people’s health worldwide,but few studies have focused on the prevalence of depressive disorders among the Chinese elderly and their characteristics of depressive disorders.The current study is a secondary data analysis designed to explore the profiles of depressive disorders in the Chinese elderly by latent profile analysis.Methods:The China Health and Retirement Longitudinal Study(CHARLS 2018)database will be used for analysis.Latent profile analysis will be employed to identify the profiles of depressive disorders using data from the subsection“CESD Depression”in the section“Cognition and Depression”.Stepwise multinomial logistic regression will be used to explore the influencing factors of different profiles of depressive disorders among the Chinese elderly.Discussion:The prevalence of depressive disorders among the Chinese elderly and their profiles of depressive disorders will be reported.Possible influencing factors may include some demographic characteristics and associated psychological elements,which will provide a reference for further research and precise intervention.展开更多
During summer Monex-79, a variety of observing systems viz. research ships, research aircrafts, constant pressure balloons and geostationary satellite etc. were deployed, besides the regular conventional observations....During summer Monex-79, a variety of observing systems viz. research ships, research aircrafts, constant pressure balloons and geostationary satellite etc. were deployed, besides the regular conventional observations. The purpose of these additional systems was to make the best possible data for the studies on various aspects of monsoon circulation. The present study is aimed at the construction of vertical wind profile using cloud motion vectors obtained from GOES (I-O) satellite and to examine whether the constructed wind profiles improves the representation of the monsoon system, flow pattern etc. in the objective analysis. For this purpose, climatological normals of the wind field are considered as the initial guess and the objective analyses of the wind field are made with, first using only data from conventional observations over land areas, subsequently including the constructed winds from cloud motion vectors. These analyses are then compared with the standard analyses of wind field obtained from Quick Look Atlas by T. N. Krishnamurti et al. (1979).It is inferred that satellite estimated mean wind profiles show good agreement with the mean wind profiles of the research ships with RMS errors less than 5 mps below 500 hPa and less than 8 mps above 500 hPa. It is further inferred that the inclusion of constructed winds shows a positive impact on the objective analysis and improvement is seen to be more marked in the data-sparse region of the Arabian sea. Analyses which include the constructed winds show better agreement with the standard analysis, than the analyses obtained using only conventional winds. Thus, results of our study suggest that the wind profiles constructed using cloud motion vectors are of potential use in objective analysis to depict the major circulation features over the Indian region.展开更多
The current study conducted the psychological capital profiles and the relation between profile memberships and learning burnout among undergraduates.Participants were 541 Chinese undergraduates ranging from 18 to 21 ...The current study conducted the psychological capital profiles and the relation between profile memberships and learning burnout among undergraduates.Participants were 541 Chinese undergraduates ranging from 18 to 21 years old(48.2%male;Mean years=19.54,SD=1.09 years).Latent profile analysis revealed three categories of psychological capital profile consistent high psychological capital profile(50.5%),consistent low psychological capital profile(38.1%),and dominate loss-orientated psychological capital profile(11.4%).The undergraduates in consistent high profile reported high self-efficacy,resilience,hope,and optimism.Consistent low profile characterized by a little low(~0.50 SD below the M)self-efficacy,resilience,hope,and optimism.Dominant loss-orientated profile displayed low self-efficacy,hope,optimism,but a little relatively high resilience.Specifically,undergraduates in consistent high profile exhibited low level of learning burnout;while undergraduates with low level of psychological capital(i.e.,consistent low profile and dominate loss-orientated profile)reported high level of learning burnout.The findings have theoretical significance which provides important knowledge about psychological capital profile among Chinese undergraduates.They have practical implications for student counselling and development providing person-centric support to students based on their individual psychological profiles.展开更多
Hepatitis B virus （HBV）-induced liver failure is an emergent liver disease leading to high mortality. The severity of liver failure may be reflected by the profile of some metabolites. This study assessed the potent...Hepatitis B virus （HBV）-induced liver failure is an emergent liver disease leading to high mortality. The severity of liver failure may be reflected by the profile of some metabolites. This study assessed the potential of using metabolites as biomarkers for liver failure by identifying metabolites with good discriminative performance for its phenotype. The serum samples from 24 HBV-indueed liver failure patients and 23 healthy volunteers were collected and analyzed by gas chromatography-mass spectrometry （GC-MS） to generate metabolite profiles. The 24 patients were further grouped into two classes according to the severity of liver failure. Twenty-five eommensal peaks in all metabolite profiles were extracted, and the relative area values of these peaks were used as features for each sample. Three algorithms, F-test, k-nearest neighbor （KNN） and fuzzy support vector machine （FSVM） combined with exhaustive search （ES）, were employed to identify a subset of metabolites （biomarkers） that best predict liver failure. Based on the achieved experimental dataset, 93.62% predictive accuracy by 6 features was selected with FSVM-ES and three key metabolites, glyeerie acid, cis-aeonitie acid and citric acid, are identified as potential diagnostic biomarkers.展开更多
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 a special grant from the Taishan Scholars Project(Project No.tsqn202211130).
文摘Background:This study addresses the pressing need to understand the nuanced relationship between‘mattering’—the perception of being significant to others—and problematic internet use(PIU)among university students.Unlike previous research that has primarily employed variable-centered approaches,this study first adopts a person-centered approach using Latent Profile Analysis(LPA)to identify distinct mattering profiles.Subsequently,through variable-centered analyses,these profiles are examined in relation to different types of PIU—specifically problematic social media use(PSMU)and problematic gaming(PG)—as well as adaptability.Methods:Data were collected from 3587 university students across 19 universities in China.Participants completed three mattering-related scales(General Mattering Scale,Anti-Mattering Scale,and Fear of Not Mattering Inventory),along with the Bergen Social Media Addiction Scale,the Internet Gaming Disorder Scale-Short Form,and the Nine-item Adaptability Scale.Results:A four-class model identified by LPA was optimally selected:Class 1(high general mattering,low anti-mattering,low fear of not mattering),Class 2(moderate levels),Class 3(moderate general mattering,high antimattering,high fear of not mattering),and Class 4(low general mattering,low fear of not mattering,moderate anti-mattering).Significant differences were found among these classes in both PIU types(PSMU:F=139.66,p<0.001;PG:F=162.96,p<0.001).The pattern of mean differences consistently showed:Class 3>Class 2>Class 4>Class 1.Class 3 participants demonstrated the highest likelihood of meeting the addiction criteria,Class 2 showed moderate probability,while Classes 1 and 4 exhibited lower probabilities(χ^(2)=113.38 to 408.87,all p<0.001).Additionally,Class 3 reported the lowest adaptability(F=131.67,p<0.001).Conclusion:This study reveals that the unique influence of three ways of assessing feelings of mattering and the fear of not mattering on university students’PIU at the personal level,concluding that these factors are integral to understanding PIU among this demographic.
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Supported by Yunnan Province High-Level Health Technical Talents,Leading Talents,No.L-2019011.
文摘BACKGROUND Non-suicidal self-injury(NSSI)is common among adolescents and frequently cooccurs with depression.Understanding the distinct patterns of NSSI behaviors,along with their associated risk and protective factors,is crucial for developing effective interventions.AIM To classify NSSI behaviors and examine interactions between risk and resilience factors in Chinese adolescents.METHODS A cross-sectional study involving 3967 Chinese students(51.7%female,mean age 13.58±2.24 years)who completed questionnaires on parenting styles,bullying,childhood maltreatment,depression,resilience,and NSSI.Latent profile analysis(LPA)was used to identify NSSI subtypes,and network analysis explored interactions between risk and resilience factors.RESULTS Three NSSI subtypes were identified:NSSI with depression(18.8%),NSSI without depression(12.3%),and neither(68.9%).Bullying was the central risk factor across subtypes,while emotional control and family support were key protective factors.Statistical analyses showed significant differences between groups(P<0.001).CONCLUSION This study identified three NSSI subtypes among Chinese adolescents.Bullying emerged as a central risk factor,while emotional control and family support were key protective factors.Targeting these areas may help reduce NSSI behaviors in this population.
基金supported by the Health and Humanities Research Center Project of Zigong City Key Research Base of Philosophy and Social Sciences(No.JKRWY22-26)。
文摘Objective:To understand the latent categories of perceived stress in colorectal cancer patients and analyze the characteristics of different categories of patients.Methods:A total of 255 colorectal cancer patients receiving treatment in the gastrointestinal surgery and oncology depar tments of a ter tiary Grade A hospital in Sichuan Province,from January 2023 to June 2023,were selected as the study subjects.General information questionnaire,Chinese version of the Perceived Stress Scale(CPSS),and Comprehensive Score Table for Patient-Repor ted Outcome Measures of Economic Toxicity(COST-PROM)were used for data collection.Results:Perceived stress in colorectal cancer patients was classified into 3 latent categories:C1“Low stress-stable type”(19.2%),C2“Moderate stress-uncontrolled type”(23.9%),and C3“High stress-anxious type”(56.9%).The average score of perceived stress was(34.07±5.08).Compared with C1 type,patients with a monthly household income of≤3000 RMB were more likely to belong to the C2 and C3 types(P<0.05),and patients without a stoma were less likely to belong to C3 type(P<0.05).Compared with C2 type,male patients were more likely to belong to C3 type(P<0.05),and patients without a stoma were less likely to belong to C3 type(P<0.05).Compared with C3 type,patients with higher economic toxicity scores were more likely to be classified into C1 and C2 types(P<0.05).Conclusions:Perceived stress in colorectal cancer patients exhibits distinct categorical features.Male gender,lower income,presence of a stoma,and higher economic toxicity are associated with higher levels of perceived stress in colorectal cancer patients.
文摘Objective:To explore the potential categories and influencing factors of self-advocacy in young and middle-aged patients with breast cancer and to provide a theoretical basis for personalized intervention.Methods:From September 2023 to March 2024,314 young and middle-aged breast cancer patients were studied.Female cancer patients were surveyed using the self-advocacy scale,social support rating scale,and chronic health literacy scale.Latent profile analysis was used to investigate the heterogeneity and influencing factors of self-advocacy.Results:Self-advocacy among young and middle-aged breast cancer patients were classified into two potential categories:low advocacy-lack of support(51.7%)and high advocacy-effective communication(48.3%).Binary logistic regression analysis indicated that educational level,per capita monthly income,social support,and health literacy were significant influencing factors of these categories(P<0.05).Conclusion:Self-advocacy in young and middle-aged breast cancer patients demonstrates categorical heterogeneity.Identifying self-advocacy characteristics and implementing targeted intervention strategies—focused on self-efficacy and improving health literacy—can enhance self-advocacy in these patients.
文摘The purpose of this study was to understand the overall level of key competencies of medical students and explore the potential profile of key competencies, promoting quality education, and improving the quality talent cultivation in medical colleges. A stratified random sampling method selected 734 medical students from four medical colleges in Chongqing Province of China. A general information questionnaire and a key competencies survey questionnaire were used to conduct the survey. The overall score and scores of each dimension of key competencies were analyzed. Latent profile analysis was conducted to classify the key competencies of medical students and compare the distribution differences of demographic variables among different categories. The results showed that 26% of medical students have never heard of the concept of key competencies, and 59% of them are not familiar with the content related to key competencies. The score of key competencies is 3.66 ± 0.60, with the highest score in the dimension of responsibility and the lowest score in the dimension of humanistic accomplishment. The latent profile analysis classified them into three categories: “low key competencies group (14.71%)”, “medium key competencies group (36.79%)”, and “high key competencies group (48.50%)”. The R3STEP regression analysis results showed statistically significant differences in educational level and whether they served as student cadres among different key competencies categories of medical students. This paper discusses three different potential key competencies categories among medical students, and the overall level of key competencies is relatively good. However, medical students lack a comprehensive and systematic understanding of key competencies. Humanistic accomplishment, healthy living, and practical innovation are the three dimensions with lower scores and should be given more attention. Medical colleges should integrate the concept of key competencies into teaching and implement it in medical practice to cultivate more high-quality medical talents for society.
基金Project(51904099)supported by the National Natural Science Foundation of ChinaProject(531118010353)supported by the Fundamental Research Funds for the Central Universities,China。
文摘The present work examined the anisotropy magnitudes obtained from different elastic models of cubic metals(Cu,5383 Al alloy,FCC austenite steel and BCC steel)to explore the origin of strain anisotropy.The results showed that stable intersections were observed from the modeled and experimental plots of the reciprocal elastic modulus(1/Ehkl)and orientation parameter(Γ).The effectiveness of quasi elasto-plastic model based method in correcting strain anisotropy was further verified in cold-worked specimens.For the important input parameters in dislocation model based diffraction line profile analysis methods,the average diffraction contrast factors(■)of dislocations were observed to depend on elastic constants.Interesting intersections were found from linear dependence of■onΓ.The conventional input■values indicated distinct dependencies on given elastic constants in diffraction line profile analysis.Accordingly,a refined approach was proposed by adopting the optimized intersections as input values,by which more reliable results could be obtained in practical applications.
文摘The density,nature of the dislocations and distribution of the domain sizes in cold-deformed Pb-Ca-Sn solid solution were determined by X-ray diffraction profile analysis.The dislocation densities are of the order of 1010 cm-2.The strain broadening of diffraction profiles was accounted for by dislocation contrast factor.The coherent domain size was determined by the recently developed PM2K software package.Assuming that the domain size distribution is log-normal,the distribution function（median μ and variance σ） was calculated from the size parameters determined from X-ray diffraction profile analysis.
基金This work was supported by the National Natural Science Foundation of China (No 30370904and No 30671258)the National High Technology Research and Development Program(863 project)of China (No 2006AA10Z121)the Program for New Century Excellent Talents in University(No NCET-07-0712)
文摘Cotton(Gossypium hirsutum L.) is the leading fiber crop and one of the mainstays of the economy in the world.Cotton fibers,as the main product of cotton plants,are unicellular,linear
基金supported by the“333 High-Level Talents Training Project”of Jiangsu province(No.BRA2020069)。
文摘Objectives:The study aimed to explore social alienation types in patients with inflammatorybowel diseases(IBD)and identify influencingfactors.Methods:This cross-sectional study was conducted using purposive sampling among patients with IBD from July 2022 to July 2023.Patients were assessed using the Generalized Social Alienation Scale(GSAS),the Brief Illness Perception Questionnaire(B-IPQ),the Hospital Anxiety and Depression Scale(HADS),and the Medical Coping Modes Questionnaire(MCMQ).Demographic and disease-related characteristics were also collected.Latent profileanalysis(LPA)was used to identify potential subgroups of social alienation.Univariate analysis and multicollinearity analysis were conducted to explore the influencing factors,followed by multiple regression analysis to evaluate the effect of influencingfactors on social alienation.Results:Three distinct profilesof social alienation were identified:integrated-low alienation group(n=61,20.20%),accommodative-moderate alienation group(n=195,64.57%),and maladaptive-high alienation group(n=46,15.23%).Seven characteristics were associated with the profile’smembership:self-perceived financialstress,malnutrition risk,disease duration,illness comprehensibility,anxiety,depression,and acceptance-resignation coping mode.Conclusions:Patients with IBD were categorized into three subgroups based on social alienation levels.Financial stress,malnutrition risk,disease duration,illness comprehensibility,anxiety,depression,and acceptance-resignation coping mode were key predictors of the subgroup membership.Targeted interventions should be developed to mitigate the negative effects of social alienation,with a focus on improving illness perception,alleviating anxiety and depression,and promoting effective coping strategies.
基金Wuxi Social development technology demonstration project(N20201003)Top Talent Support Program for young and middle-aged people of Wuxi Health Committee(BJ 2023049).
文摘China has a high prevalence rate of Metabolic-associated fatty liver disease(MAFLD),and there is currently limited understanding of the levels of exercise self-efficacy(ESE)among individuals with MAFLD.The objective was to explore the potential ESE patterns in older adults with MAFLD.A cross-sectional study was conducted on 800 older adults with fatty liver disease from five communities from April 20,2023 to August 15,2023.Latent profile analysis(LPA)and k-means clustering were used to determine the optimal number of ESE groups.Using univariate analysis and multivariate logistic regression to investigate the factors influencing profiles of ESE.A sample of 775 subjects met the diagnostic criteria for MAFLD.LPA yielded three profiles:the low-ESE,mild-ESE,and high-ESE groups,which comprised 25%,28%,and 47%of the sample,respectively.K-means clustering further supported the categorization of ESE into three distinct classes.The multivariate logistic regression analysis revealed that diabetes,arthritis and/or arthrosis,as well as companionship during PA were significant influencing factors for the different profiles(p<0.05).Our findings suggest that the ESE of older patients with MAFLD is primarily at a moderate level or above.There was population heterogeneity in ESE among older patients with MAFLD.Diabetes mellitus,arthritis,and/or arthrosis,as well as companionship during PA were significant factors in influencing the likelihood of having high ESE.
基金funded by the Postdoctoral Fellowship Program of CPSF(China),grant number GZ20232369.No part of the study(design,data collection,and curation analysis,manuscript preparation or publication)was influenced by the funder.
文摘Background:In China,the policy of rotating teachers between urban and rural schools has been implemented to reduce educational disparities and ensure equitable access to quality education.These teachers face unique professional and emotional challenges during the rotation process,making their emotional labor a critical factor influencing their job performance.This study aimed to explore the relationship between rotating teachers’emotional labor strategies and job performance.Methods:This study conducted a cross-sectional survey among 577 rotating teachers selected through stratified random sampling from primary and secondary schools in Chinese mainland.Date were collected using the Teacher Emotional Labor Scale and the Teacher Job Performance Scale.Latent profile analysis(LPA)was employed to identify distinct categories of emotional labor strategies:indifferent,moderately engaged,naturally invested,proactively adjusted,and emotionally elevated.Results:Teachers in the naturally invested and proactively adjusted types demonstrated relatively higher job performance scores,followed by those in the emotionally elevated type.In contrast,teachers in the indifferent and moderate engagement types exhibited comparatively lower scores(F=25.858,p<0.001,η^(2)=0.153).These findings indicate a practical significance,suggestion that flexible and adaptive use emotional labor strategies is strongly associated with enhanced job performance.Conclusion:This study demonstrates that rotating teachers’job performance differs significantly across distinct emotional labor profiles,with balanced and adaptive emotional regulation emerging as a key determinant of higher performance.By identifying and characterizing individual-centered emotional labor profiles,the study advances understanding of how emotional regulation contributes to teachers’professional effectiveness.These results underscore the importance of providing systematic and personalized support to help rotating teachers develop adaptive emotional regulation skills.Targeted guidance should enable teachers to appropriately express and adjust their emotions,thereby avoiding both excessive and insufficient emotional labor and promoting sustainable professional development.
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supported by an Amazon Web Services Cloud Credit for Research grant.
文摘River profile analysis has been used extensively in the earth sciences. Commonly,exploration of river profiles requires downloading and processing Digital Elevation Models (DEMs) for specific areas,which limits the scope of exploratory analysis. Presented here is a web application designed to analyze river profiles at 90m resolution at a near-global scale. The app allows users to quickly query downstream or upstream from selected points anywhere within ±60 degrees latitude,in order to interactively analyze corresponding river profiles. River profile analysis can be performed in both distance and χ space,where χ is a metric that is proportional to the presumed steady-state shape of the river profile. River locations are based on the HydroSHEDS 90m drainage direction grid,as well as custom computed D8 drainage direction and void-filled SRTM DEMs. RiverProfileApp is open source,and although currently it is designed as an exploratory tool,more functions can be easily added via community contributions and/or from existing toolsets. It is available from RiverProfileApp.github.io.
文摘Older adults’social participation and social relationship may be affected by their partners’cognitive function.In 3,722 cognitively intact married/partnered Health and Retirement Study respondents,latent profile analysis identified three social participation profiles(Limited overall social participation(prevalence:69%);Frequent volunteer participation(10%);Frequent non-volunteer participation(21%)),and three social relationship profiles(Social support from all relationships(68%);Mixed social support and strain from all relationships(18%);Social strain from partner with support from other relationships(14%)).Spouse/partner’s cognition was not significantly associated with social participation profiles.Impaired cognition in spouses/partners increased older adults’likelihood of perceiving social strain from their partners with support from other relationships.Frequent volunteer and non-volunteer participation and perceiving social support from all relationships predicted better self-rated health and lower odds of depressive symptoms.These findings highlight the need of community programs that promote social connectedness for older adults living with cognitively impaired spouses/partners.
文摘Background:Depressive disorders have become a major risk factor that influences people’s health worldwide,but few studies have focused on the prevalence of depressive disorders among the Chinese elderly and their characteristics of depressive disorders.The current study is a secondary data analysis designed to explore the profiles of depressive disorders in the Chinese elderly by latent profile analysis.Methods:The China Health and Retirement Longitudinal Study(CHARLS 2018)database will be used for analysis.Latent profile analysis will be employed to identify the profiles of depressive disorders using data from the subsection“CESD Depression”in the section“Cognition and Depression”.Stepwise multinomial logistic regression will be used to explore the influencing factors of different profiles of depressive disorders among the Chinese elderly.Discussion:The prevalence of depressive disorders among the Chinese elderly and their profiles of depressive disorders will be reported.Possible influencing factors may include some demographic characteristics and associated psychological elements,which will provide a reference for further research and precise intervention.
文摘During summer Monex-79, a variety of observing systems viz. research ships, research aircrafts, constant pressure balloons and geostationary satellite etc. were deployed, besides the regular conventional observations. The purpose of these additional systems was to make the best possible data for the studies on various aspects of monsoon circulation. The present study is aimed at the construction of vertical wind profile using cloud motion vectors obtained from GOES (I-O) satellite and to examine whether the constructed wind profiles improves the representation of the monsoon system, flow pattern etc. in the objective analysis. For this purpose, climatological normals of the wind field are considered as the initial guess and the objective analyses of the wind field are made with, first using only data from conventional observations over land areas, subsequently including the constructed winds from cloud motion vectors. These analyses are then compared with the standard analyses of wind field obtained from Quick Look Atlas by T. N. Krishnamurti et al. (1979).It is inferred that satellite estimated mean wind profiles show good agreement with the mean wind profiles of the research ships with RMS errors less than 5 mps below 500 hPa and less than 8 mps above 500 hPa. It is further inferred that the inclusion of constructed winds shows a positive impact on the objective analysis and improvement is seen to be more marked in the data-sparse region of the Arabian sea. Analyses which include the constructed winds show better agreement with the standard analysis, than the analyses obtained using only conventional winds. Thus, results of our study suggest that the wind profiles constructed using cloud motion vectors are of potential use in objective analysis to depict the major circulation features over the Indian region.
基金supported by Hunan Province Education Department Outstanding Youth Project(23B1131)Hunan Province Education Science Fourteenth Five-Year Plan Project(XJK24BXL003).
文摘The current study conducted the psychological capital profiles and the relation between profile memberships and learning burnout among undergraduates.Participants were 541 Chinese undergraduates ranging from 18 to 21 years old(48.2%male;Mean years=19.54,SD=1.09 years).Latent profile analysis revealed three categories of psychological capital profile consistent high psychological capital profile(50.5%),consistent low psychological capital profile(38.1%),and dominate loss-orientated psychological capital profile(11.4%).The undergraduates in consistent high profile reported high self-efficacy,resilience,hope,and optimism.Consistent low profile characterized by a little low(~0.50 SD below the M)self-efficacy,resilience,hope,and optimism.Dominant loss-orientated profile displayed low self-efficacy,hope,optimism,but a little relatively high resilience.Specifically,undergraduates in consistent high profile exhibited low level of learning burnout;while undergraduates with low level of psychological capital(i.e.,consistent low profile and dominate loss-orientated profile)reported high level of learning burnout.The findings have theoretical significance which provides important knowledge about psychological capital profile among Chinese undergraduates.They have practical implications for student counselling and development providing person-centric support to students based on their individual psychological profiles.
基金Project supported by the Postdoctoral Science Foundation of China(No.20070410397)the National Natural Science Foundation of China(No.60705002)the Science and Technology Project of Zhejiang Province,China(No.2005C13026)
文摘Hepatitis B virus （HBV）-induced liver failure is an emergent liver disease leading to high mortality. The severity of liver failure may be reflected by the profile of some metabolites. This study assessed the potential of using metabolites as biomarkers for liver failure by identifying metabolites with good discriminative performance for its phenotype. The serum samples from 24 HBV-indueed liver failure patients and 23 healthy volunteers were collected and analyzed by gas chromatography-mass spectrometry （GC-MS） to generate metabolite profiles. The 24 patients were further grouped into two classes according to the severity of liver failure. Twenty-five eommensal peaks in all metabolite profiles were extracted, and the relative area values of these peaks were used as features for each sample. Three algorithms, F-test, k-nearest neighbor （KNN） and fuzzy support vector machine （FSVM） combined with exhaustive search （ES）, were employed to identify a subset of metabolites （biomarkers） that best predict liver failure. Based on the achieved experimental dataset, 93.62% predictive accuracy by 6 features was selected with FSVM-ES and three key metabolites, glyeerie acid, cis-aeonitie acid and citric acid, are identified as potential diagnostic biomarkers.
