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Computer Supported Sensory Profiling Analysis of Three Agaricus Cultivars
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作者 Andras Geosel Laszlo Sipos +2 位作者 Brian McGuinness Julia Gyorfi Zoltan Kokai 《Journal of Life Sciences》 2011年第7期575-579,共5页
The sensory profile analysis is a commonly used method in the evaluation of directly consumed horticultural products (fruits, vegetables, grapes etc.). The results of this type of analysis give an opportunity to dis... The sensory profile analysis is a commonly used method in the evaluation of directly consumed horticultural products (fruits, vegetables, grapes etc.). The results of this type of analysis give an opportunity to distinguish the evaluated products from each other from a consumption point of view. In this paper, three Agaricus species ("white button mushroom", "cream type" and "almond portobello"), were characterized by sensory profile analysis. The sensory attributes can have an influence on consumer product preference therefore it is essential to describe products, for example mushrooms. This is the first report which focus on describing the full sensory profile of these fresh mushrooms. 展开更多
关键词 Agaricus blazei Agaricus subrufescens Agaricus bisporus MUSHROOM profile analysis.
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Transcriptome Profiling and Analysis during Cotton Fiber Cell Development
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作者 ZHU Yu-xian(The National Laboratory of Protein Engineering and Plant Genetic Engineering,College of Life Sciences,Peking University,Beijing 100871,China) 《棉花学报》 CSCD 北大核心 2008年第S1期129-,共1页
In this project,we aim to elucidate the molecular mechanism controlling initiation and elongation of tetraploid Gossypium hirsutum fiber cells by setting up a high throughput custom-designed
关键词 HIGH CELL Transcriptome profiling and analysis during Cotton Fiber Cell Development
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Possible Classifications of Social Network Addiction:A Latent Profile Analysis of Chinese College Students 被引量:1
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作者 Lin Luo Junfeng Yuan +4 位作者 Yanling Wang Rui Zhu HuilinXu Siyuan Bi Zhongge Zhang 《International Journal of Mental Health Promotion》 2025年第6期863-876,共14页
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
关键词 Social network addiction mental health latent profile analysis(LPA) receiver operating characteristic(ROC) social networking addiction scale-Chinese(SNAS-C)
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Latent Profile Analysis:Mattering Concepts,Problematic Internet Use,and Adaptability in Chinese University Students
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作者 Jianlong Wang Xiumei Chen +3 位作者 Muqi Huang Rui Liu I-Hua Chen Gordon L.Flett 《International Journal of Mental Health Promotion》 2025年第2期241-256,共16页
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
关键词 Mattering problematic social media use problematic gaming ADAPTABILITY latent profile analysis
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Moral Disengagement, Preference for Solitude, and Demographic Factors as Predictors of Aggressive Behavior Categorized by Latent Profile Analysis in Chinese Rural Boarding Junior High School Students
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作者 Yatong Li Wangqin Hu 《International Journal of Mental Health Promotion》 2025年第9期1383-1398,共16页
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
关键词 Junior high school students AGGRESSION moral disengagement SOLITUDE latent profile analysis
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Social alienation in patients with inflammatory bowel diseases:A latent profileanalysis
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作者 Qingyu Wang Junyi Gu +6 位作者 Zheng Lin Sha Li Meijing Zhou Jiefeng Yang Hantian Cheng Jiali Chen Yang Lei 《International Journal of Nursing Sciences》 2025年第4期335-343,I0002,I0003,共11页
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
关键词 Inflammatory bowel diseases Influencing factors Latent profile analysis NURSING Social alienation
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The Relationship between Emotional Labor Strategies and Job Performance of Rotating Teachers:A Latent Profile Analysis
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作者 Huanfang Wang Xinyi Li +2 位作者 Fangfang Zhao Ximeng Cui Wei jian Li 《International Journal of Mental Health Promotion》 2025年第11期1813-1827,共15页
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
关键词 Rotating teacher emotional labor strategies job performance latent profile analysis emotional regulation
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Profiling student’s psychological capital and risk for learner burnout:Results and implications of a Chinese study
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作者 Ruijun Song Xichen Qin +4 位作者 Xiaomei Yang Mei Wu Jinyu Hong Youping Cao Yuting Ning 《Journal of Psychology in Africa》 2025年第2期265-270,共6页
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
关键词 psychological capital learning burnout UNDERGRADUATES latent profile analysis
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Exercise self-efficacy in older adults with metabolic-associated fatty liver disease:A latent profile analysis
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作者 Huimin Zhou Haiyan Chen +4 位作者 Di Wu Hanxiao Lu Bo Wu Zhixia Dong Jun Yang 《Sports Medicine and Health Science》 2025年第4期285-291,共7页
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
关键词 Metabolic-associated fatty liver disease Exercise self-efficacy Older adults Latent profile analysis
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Risk factors for paternal perinatal depression in Chinese advanced maternal age couples:A regression mixture model
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作者 Xing Yin Juan Du +1 位作者 Shao-Lian Cai Xing-Qiang Chen 《World Journal of Psychiatry》 2026年第1期267-277,共11页
BACKGROUND Paternal perinatal depression(PPD)is closely associated with maternal mental health challenges,marital strain,and adverse child developmental outcomes.Despite its significant impact,PPD remains under-recogn... BACKGROUND Paternal perinatal depression(PPD)is closely associated with maternal mental health challenges,marital strain,and adverse child developmental outcomes.Despite its significant impact,PPD remains under-recognized in family-centered clinical practice.Concurrently,against the backdrop of rising rates of delayed marriage and China’s Maternity Incentive Policy,the proportion of women giving birth at an advanced maternal age is increasing.Nevertheless,research specifically examining PPD among spouses of older mothers remains critically scarce,both in China and globally.AIM To investigate PPD and its influencing factors in Chinese advanced maternal age families.METHODS This cross-sectional study included 358 participants;it was conducted among fathers of pregnant women of advanced maternal age at five hospitals in the Pearl River Delta region of China from September 2023 to June 2024.Data were collected via a general information questionnaire,the Social Support Rating Scale,and the Edinburgh Postnatal Depression Scale.Latent profile analysis and regression mixture models(RMMs)were adopted to analyze the latent PPD types and factors that influenced PPD.RESULTS The incidence of PPD was 16.48%,and three profiles were identified:Low-symptomatic(175 cases,48.89%),monophasic(140 cases,39.10%),and high-symptomatic(43 cases,12.01%).The RMM analysis revealed that first pregnancy,low income(<¥3000/month),part-time work,and a history of abnormal pregnancy were positively associated with the high-symptomatic type(P<0.05).Conversely,high subjective support and support utilization were negatively associated with the high-symptomatic type compared with the low-symptomatic type(P<0.05).Good couple relationships,high objective and subjective support,and high support utilization were negatively associated with monophasic disorder(P<0.05).CONCLUSION PPD incidence is high among Chinese fathers with advanced maternal age partners,and the characteristics of depression are varied.Healthcare practitioners should prioritize individuals with low levels of social support. 展开更多
关键词 Advanced maternal age Paternal perinatal depression Fathers’mental health Regression mixture model Advanced-age pregnancy Latent profile analysis
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Metabonomic analysis of hepatitis B virus-induced liver failure:identification of potential diagnostic biomarkers by fuzzy support vector machine 被引量:11
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作者 Yong MAO Xin HUANG +3 位作者 Ke YU Hai-bin QU Chang-xiao LIU Yi-yu CHENG 《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》 SCIE CAS CSCD 2008年第6期474-481,共8页
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
关键词 Metabolite profile analysis Potential diagnostic biomarker identification k-nearest neighbor (KNN) Fuzzy supportvector machine (FSVM) Exhaustive search (ES) Gas chromatography-mass spectrometry (GC-MS) Hepatitis B virus (HBV)-induced liver failure
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X-ray diffraction analysis of cold-worked Cu-Ni-Si and Cu-Ni-Si-Cr alloys by Rietveld method 被引量:3
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作者 A.KHEREDDINE F.HADJ LARBI +3 位作者 L.DJEBALA H.AZZEDDINE B.ALILI D.BRADAI 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2011年第3期482-487,共6页
Cold worked and annealed supersaturated Cu-2.65Ni-0.6Si and Cu-2.35Ni-0.6Si-0.6Cr alloys were studied. The microstructural parameters evolution, including crystallite size, root mean square strain and dislocation dens... Cold worked and annealed supersaturated Cu-2.65Ni-0.6Si and Cu-2.35Ni-0.6Si-0.6Cr alloys were studied. The microstructural parameters evolution, including crystallite size, root mean square strain and dislocation density was analyzed using Materials Analysis Using Diffraction software (MAUD). The parameters for both alloys have typical values of cold deformed and subsequently annealed copper based alloy. A net change of the crystallite size, root mean square strain and dislocation density values of the alloys aged at 450 °C for 2.5-3 h seems corresponding to the recovery and recrystallization processes. Addition of Cr as quaternary element did not lead to any drastic changes of post deformation or ageing microstructural parameters and hence of recovery-recrystallization kinetics. 展开更多
关键词 Cu-Ni-Si alloy microstructure XRD line profile analysis Materials analysis Using Diffraction software
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Strain anisotropy models for refined diffraction line profile analysis in cubic metals 被引量:3
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作者 Xiang DAI Fu-lin JIANG +4 位作者 Jin LIU Luo-yi WU Ding-fa FU Jie TENG Hui ZHANG 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2020年第8期2090-2106,共17页
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
关键词 metallic materials line profile analysis strain anisotropy dislocations
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Genome-wide identification and expression analysis of Gossypium RING-H2 finger E3 ligase genes revealed their roles in fiber development,and phytohormone and abiotic stress responses 被引量:6
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作者 QANMBER Ghulam YU Daoqian +5 位作者 LI Jie WANG Lingling MA Shuya LU Lili YANG Zuoren LI Fuguang 《Journal of Cotton Research》 2018年第1期3-19,共17页
Background: RING H2 finger E3 ligase (RH2FE3) genes encode cysteine rich proteins that mediate E3 ubiquitin ligase activity and degrade target substrates. The roles of these genes in plant responses to phytohormone... Background: RING H2 finger E3 ligase (RH2FE3) genes encode cysteine rich proteins that mediate E3 ubiquitin ligase activity and degrade target substrates. The roles of these genes in plant responses to phytohormones and abiotic stresses are well documented in various species, but their roles in cotton fiber development are poorly understood. To date, genome wide identification and expression analyses of Gossypium hirsutum RH2FE3 genes have not been reported. Methods: We performed computational identification, structural and phylogenetic analyses, chromosomal distribution analysis and estimated KJKs values of G hirsutum RH2FE3 genes. Orthologous and paralogous gene pairs were identified by all versus all BLASTP searches. We predicted cis regulatory elements and analyzed microarray data sets to generate heatmaps at different development stages. Tissue specific expression in cotton fiber, and hormonal and abiotic stress responses were determined by quantitative real time polymerase chain reaction (qRT PCR) analysis. Results: We investigated 140 G hirsutum, 80 G. orboreum, and evolutionary mechanisms and compared them with orthologs 89 G. roimondii putative RH2FB genes and their in Arobidopsis and rice. A domain based analysis of the G hirsutum RH2FE3 genes predicted conserved signature motifs and gene structures. Chromosomal localization showed the genes were distributed across all G hirsutum chromosomes, and 60 duplication events (4 tandem and 56 segmental duplications) and 98 orthologs were detected, cis elements were detected in the promoter regions of G hirsutum RH2FE3 genes. Microarray data and qRT PCR analyses showed that G hirsutum RH2FE3 genes were strongly correlated with cotton fiber development. Additionally, almost all the (brassinolide, gibberellic acid (GA), indole 3-acetic acid drought, and salt). dentified genes were up regulated in response to phytohormones (IAA), and salicylic acid (SA)) and abiotic stresses (cold, heat, Conclusions: The genome wide identification, comprehensive analysis, and characterization of conserved domains and gene structures, as well as phylogenetic analysis, cis element prediction, and expression profile analysis of G hirsutum RH2FE3 genes and their roles in cotton fiber development and responses to plant hormones and abiotic stresses are reported here for the first time. Our findings will contribute to the genome wide analysis of putative RH2FE3 genes in other species and lay a foundation for future physiological and functional research on G hirsutum RH2FE3 genes. 展开更多
关键词 Gossypium hirsutum Upland cotton RING H2 finger E3 ligase Phylogenetic analysis cis elements Gene duplication Expression profile analysis
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Network analysis of adolescent non-suicidal self-injury subgroups identified through latent profile analysis 被引量:2
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作者 Wei Yang Kun Lian +3 位作者 Yu-Qi Cheng Xiu-Feng Xu Xin-Cen Duan Xu You 《World Journal of Psychiatry》 SCIE 2024年第12期1936-1946,共11页
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
关键词 Non-suicidal self-injury ADOLESCENT Network analysis Latent profile analysis RESILIENCE
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X-ray peak profile analysis of dislocation type,density and crystallite size distribution in cold deformed Pb-Ca-Sn alloys 被引量:1
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作者 F.ABOUHILOU A.KHEREDDINE +1 位作者 B.ALILI D.BRADAI 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2012年第3期604-607,共4页
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
关键词 Pb-Ca-Sn alloy cold work X-ray diffraction profile analysis(XRDLPA) PM2K software
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1~H NMR-based serum metabolic profiling in compensatedand decompensated cirrhosis 被引量:10
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作者 Su-Wen Qi Zhi-Guang Tu +4 位作者 Wu-Jian Peng Lin-Xian Wang Xin Ou-Yang An-Ji Cai Yong Dai 《World Journal of Gastroenterology》 SCIE CAS CSCD 2012年第3期285-290,共6页
AIM: To study the metabolic profiling of serum samples from compensated and decompensated cirrhosis patients. METHODS: A pilot metabolic profiling study was conducted using three groups: compensated cirrhosis patients... AIM: To study the metabolic profiling of serum samples from compensated and decompensated cirrhosis patients. METHODS: A pilot metabolic profiling study was conducted using three groups: compensated cirrhosis patients (n = 30), decompensated cirrhosis patients (n = 30) and healthy controls (n = 30). A 1H nuclear magnetic resonance (NMR)-based metabonomics approach was used to obtain the serum metabolic profiles of the samples. The acquired data were processed by multivariate principal component analysis and orthogonal partial least-squares discriminant analysis (OPLS-DA). RESULTS: The OPLS-DA model was capable of distinguishing between decompensated and compensated cirrhosis patients, with an R2Y of 0.784 and a Q2Y of 0.598. Twelve metabolites, such as pyruvate, phenylala-nine and succinate, were identified as the most influential factors for the difference between the two groups. The validation of the diagnosis prediction showed that the accuracy of the OPLS-DA model was 85% (17/20). CONCLUSION: 1H NMR spectra combined with pattern recognition analysis techniques offer a new way to diagnose compensated and decompensated cirrhosis in the future. 展开更多
关键词 Liver cirrhosis Metabolic profiling Orthogo- nal partial least-squares discriminant analysis
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A microarray analysis of early activated pathways in concanavalin A-induced hepatitis 被引量:2
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作者 Qing-yi CAO Feng CHEN Jie LI Shan-shan WU Jing WANG Zhi CHEN 《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》 SCIE CAS CSCD 2010年第5期366-377,共12页
Objective:To explore the mechanisms of fulminant hepatitis(FH) in the early stages,and to determine the critical pathways in its initiation and progression.Methods:Twelve BALB/c mice were divided into four groups:one ... Objective:To explore the mechanisms of fulminant hepatitis(FH) in the early stages,and to determine the critical pathways in its initiation and progression.Methods:Twelve BALB/c mice were divided into four groups:one group left as negative control and sacrificed immediately after injection of phosphate-buffered saline(PBS),and another three groups with concanavalin A(Con A) administration sacrificed at 1,3,and 6 h after injection.Affymetrix GeneChip Mouse 430 2.0 Array was employed to evaluate the expression profile of each of the 12 samples.Further analysis was done on the microarray data to extract the genes that were differentially expressed.Enrichment analysis was carried out to determine relevant pathways within which regulated genes were significantly enriched.Results:A total of 393,8354 and 11 344 differentially expressed genes were found,respectively,at three time points.During 0-1 h and 1-3 h,most of the pathways enriched with regulated genes were related to immune response and inflammation,among which Toll-like receptor(TLR) signaling and mitogen-activated protein kinase(MAPK) signaling appeared during both phases,while cytokine-cytokine receptor interaction,apoptosis,T cell receptor signaling,and natural killer(NK) cell-mediated cytotoxicity pathways emerged during the second phase.Pathways found to be significant during 3-6 h were mostly related to metabolic processes.Conclusion:The TLR signaling pathway dominates the early responses of Con A-induced FH in mice.It stimulates the production of type I cytokines,therefore recruiting and activating T/NK cells.Activated T/NK cells exert their cytotoxicity on hepatocytes through inducing death receptorintermediated apoptosis,resulting in liver injury. 展开更多
关键词 Concanavalin A Fulminant hepatitis Microarray Expression profile Pathway analysis
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Identification of potential immune-related prognostic biomarkers of lung cancer using gene co-expression network analysis 被引量:1
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作者 Aixia Chen Shengnan Zhao +8 位作者 Fei Zhou Hongying Lv Donghai Liang Tao Jiang Rui Liu Lijin Zhu Jingyu Cao Shihai Liu Hongsheng Yu 《Oncology and Translational Medicine》 CAS 2020年第6期247-257,共11页
Objective The objective of this study was to identify new carcinogenetic hub genes and develop the integration of differentially expressed genes to predict the prognosis of lung cancer.Methods GSE139032 microarray dat... Objective The objective of this study was to identify new carcinogenetic hub genes and develop the integration of differentially expressed genes to predict the prognosis of lung cancer.Methods GSE139032 microarray data packages were downloaded from the Gene Expression Omnibus for planning,testing,and review of data.We identified KRT6C,LAMC2,LAMB3,KRT6A,and MYEOV from a key module for validation.Results We found that the five genes were related to a poor prognosis,and the expression levels of these genes were associated with tumor stage.Furthermore,Kaplan-Meier plotter showed that the five hub genes had better prognostic values.The mean levels of methylation in lung adenocarcinoma(LUAD)were significantly lower than those in healthy lung tissues for the hub genes.However,gene set enrichment analysis(GSEA)for single hub genes showed that all of them were immune-related.Conclusion Our findings demonstrated that KRT6C,LAMC2,LAMB3,KRT6A,and MYEOV are all candidate diagnostic and prognostic biomarkers for LUAD.They may have clinical implications in LUAD patients not only for the improvement of risk stratification but also for therapeutic decisions and prognosis prediction. 展开更多
关键词 lung adenocarcinoma(LUAD) BIOINFORMATICS gene expression omnibus gene expression profiling interactive analysis(GEPIA) PROGNOSIS METHYLATION
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Analysis of Capacity Decay, Impedance, and Heat Generation of Lithium-ionBatteries Experiencing Multiple Simultaneous Abuse Conditions
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作者 Casey Jones Meghana Sudarshan Vikas Tomar 《Energy Engineering》 EI 2023年第12期2721-2740,共20页
Abuse of Lithium-ion batteries,both physical and electrochemical,can lead to significantly reduced operational capabilities.In some instances,abuse can cause catastrophic failure,including thermal runaway,combustion,a... Abuse of Lithium-ion batteries,both physical and electrochemical,can lead to significantly reduced operational capabilities.In some instances,abuse can cause catastrophic failure,including thermal runaway,combustion,and explosion.Many different test standards that include abuse conditions have been developed,but these generally consider only one condition at a time and only provide go/no-go criteria.In this work,different types of cell abuse are implemented concurrently to determine the extent to which simultaneous abuse conditions aggravate cell degradation and failure.Vibrational loading is chosen to be the consistent type of physical abuse,and the first group of cells is cycled at different vibrational frequencies.The next group of cells is cycled at the same frequencies,with multiple charge pulses occurring during each discharge.The final group of cells is cycled at the same frequencies,with a partial nail puncture occurring near the beginning of cycling.The results show that abusing cells with vibrational loading or vibrational loading with current pulses does not cause a significant decrease in operational capabilities while abusing cells with vibrational loading and a nail puncture drastically reduces operational capabilities.The cells with vibration only experience an increase in internal resistance by a factor of 1.09–1.26,the cells with vibration and current pulses experience an increase in internal resistance by a factor of 1.16–1.23,and all cells from each group reach their rated lifetime of 500 cycles without reaching their end-of-life capacity.However,the cells with vibration and nail puncture experience an increase in internal resistance by a factor of 6.83–22.1,and each cell reaches its end-of-life capacity within 50 cycles.Overall,the results show that testing multiple abuse conditions simultaneously provides a better representation of the extreme limitations of cell operation and should be considered for inclusion in reference test standards. 展开更多
关键词 Lithium-ion batteries dynamic abuse testing electrochemical impedance spectroscopy incremental capacity analysis thermal profile analysis
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