Background:Bullying is a current social and educational problem with detrimental consequences in adolescence and later life stages.Previous research has explored the risk or protective factor at different socio-ecolog...Background:Bullying is a current social and educational problem with detrimental consequences in adolescence and later life stages.Previous research has explored the risk or protective factor at different socio-ecological levels,but further integration is needed to examine the relationships of family characteristics.This study examines how parenting style and attachment relate to adolescents’bullying and cyberbullying,and whether parental phubbing mediates these links.Methods:Grounded in social bonding theory,we surveyed a cross-sectional convenience sample of U.S.college students(N=545;Mean_(age)=19.60,SD=1.41)who retrospectively reported middle/high-school experiences from Massachusetts,Colorado,and Virginia.Measures followed established traditions of bullying involvement,parenting style,and partner phubbing).Linear regressions tested associations among parenting style,attachment to parents/teachers,parental phubbing,and bullying/cyberbullying offending and victimization.Results:Stronger parental attachment and democratic(authoritative)parenting were associated with lower bullying victimization,and teacher attachment was protective for offline and overall offending.Critically,parents’excessive personal technology use(phubbing)mediated the link between democratic parenting and bullying outcomes:high parental device use attenuated or nullified the protective association of democratic parenting.Conclusion:Findings reaffirm the value of nurturing,boundary-setting parenting and close parent–child/teacher bonds,while highlighting a contemporary risk—parental device-related inattention.Despite rapid technological change,the core need for stable human connection remains central to reducing bullying involvement.展开更多
Located in Hangzhou,Zhejiang Province,the Sijiqing Clothing Street is one of the largest clothing distribution centers in China.It gathers 23 professional markets and over 15,000 businesses.In November 2025,merchants ...Located in Hangzhou,Zhejiang Province,the Sijiqing Clothing Street is one of the largest clothing distribution centers in China.It gathers 23 professional markets and over 15,000 businesses.In November 2025,merchants were already preparing for sales during the 2026 Spring Festival and the spring/summer seasons.Children's clothing is one of the important product categories.What are the new trends in children's clothing sales?And what new changes are happening in this traditional wholesale market?展开更多
Born in Penglai,Shandong Province in 1942,Jiang Baolin is currently working as a doctoral supervisor at the Chinese National Academy of Arts.He’s also a committee member and researcher at the China National Academy o...Born in Penglai,Shandong Province in 1942,Jiang Baolin is currently working as a doctoral supervisor at the Chinese National Academy of Arts.He’s also a committee member and researcher at the China National Academy of Painting.He graduated from Zhejiang Academy of Fine Arts(now China Academy of Art),studying under such masters as Lu Yanshao and Gu Kunbo,and later pursued his master’s degree at the Central Academy of Fine Arts,sitting at the feet of masters like Li Keran.展开更多
长期以来,学界皆视《译文》杂志1957年9月号刊出的范希衡译《论风格》为布封演说Discours Sur Le Style的权威译本,但在同为范译的1958年版《布封文钞》中,却有与之相异的《论文笔》译本。结合范氏其他译著,可以推断《论文笔》才是其本...长期以来,学界皆视《译文》杂志1957年9月号刊出的范希衡译《论风格》为布封演说Discours Sur Le Style的权威译本,但在同为范译的1958年版《布封文钞》中,却有与之相异的《论文笔》译本。结合范氏其他译著,可以推断《论文笔》才是其本人所认可的原译本,《论风格》则极可能是《译文》杂志编辑修改其核心概念Style译法后的刊本。在西方Stylistics(语体学)中,Style的主要内涵是指具有不同特征的语言表达方式,而布封演说原文所论Style也是指具有规范性的文章笔法,即有层次和计划的语言表达方式,范氏采用的“文笔”这一译法准确传达了这一内涵。但在“风格”译名之下,Style概念关联的个性特征之维往往被加以突出,甚至成为主导性语义,而其所指称的“语言形式”这一基本内涵则被严重遮蔽。考释布封演说的不同译文,解读相关概念语义,不仅能够厘清诸多误读,更能在此基础上反思中国现代文学风格论的学理缺失,推动文体学、语体学、风格学研究范式的转换。展开更多
A personalized outfit recommendation has emerged as a hot research topic in the fashion domain.However,existing recommendations do not fully exploit user style preferences.Typically,users prefer particular styles such...A personalized outfit recommendation has emerged as a hot research topic in the fashion domain.However,existing recommendations do not fully exploit user style preferences.Typically,users prefer particular styles such as casual and athletic styles,and consider attributes like color and texture when selecting outfits.To achieve personalized outfit recommendations in line with user style preferences,this paper proposes a personal style guided outfit recommendation with multi-modal fashion compatibility modeling,termed as PSGNet.Firstly,a style classifier is designed to categorize fashion images of various clothing types and attributes into distinct style categories.Secondly,a personal style prediction module extracts user style preferences by analyzing historical data.Then,to address the limitations of single-modal representations and enhance fashion compatibility,both fashion images and text data are leveraged to extract multi-modal features.Finally,PSGNet integrates these components through Bayesian personalized ranking(BPR)to unify the personal style and fashion compatibility,where the former is used as personal style features and guides the output of the personalized outfit recommendation tailored to the target user.Extensive experiments on large-scale datasets demonstrate that the proposed model is efficient on the personalized outfit recommendation.展开更多
BACKGROUND Resilience is an individual’s ability and psychological rebound capacity to adapt well after experiencing adversity,trauma,etc.Patients with strong resilience can face illnesses actively.AIM To determine t...BACKGROUND Resilience is an individual’s ability and psychological rebound capacity to adapt well after experiencing adversity,trauma,etc.Patients with strong resilience can face illnesses actively.AIM To determine the association of resilience with coping styles and quality of life in patients with malignancies.METHODS This study included patients with malignant tumors who were hospitalized at Fuyang Hospital Affiliated to Anhui Medical University from March 2022 to March 2024.The Connor-Davidson Resilience Scale,Medical Coping Modes Questionnaire,Social Support Rating Scale,and the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 were utilized to assess patients’resilience,coping styles,social support,and quality of life,respectively.Pearson correlation analysis was conducted to assess the correlations.RESULTS A total of 175 patients with malignant tumors demonstrated no marked difference in terms of age,education level,employment status,monthly household income,and disease staging(P<0.05).Further,patients with malignancies demonstrated scores of 17.49±1.20,17.27±1.46,and 11.19±1.29 points in terms of coping styles in confrontation,avoidance,and resignation dimensions,respectively.Subjective support,objective support,and support utilization scores in terms of social support were 10.67±1.80,11.26±2.08,and 9.24±1.14 points,respectively.The total resilience score and tenacity,self-improvement,and optimism dimension scores were positively correlatedwith the confrontation coping style score,whereas the total resilience score and tenacity and self-improvementscores were negatively associated with avoidance and resignation coping style scores(P<0.05).The total resiliencescore and the tenacity dimension score were positively associated with physical,role,cognitive,emotional,andsocial functions,as well as global health status(P<0.05),and were inversely related to fatigue,insomnia,andeconomic difficulties(P<0.05).CONCLUSIONThe resilience of patients with malignancies is positively associated with the confrontation dimension in the copingstyle,the total and various social support domain scores,and the overall quality of life.Clinical medical staff needto pay attention to the effect of medical coping styles and social support on the resilience level of patients withmalignancies to further improve their quality of life.展开更多
Image style transfer is a research hotspot in the field of computer vision.For this job,many approaches have been put forth.These techniques do,however,still have some drawbacks,such as high computing complexity and c...Image style transfer is a research hotspot in the field of computer vision.For this job,many approaches have been put forth.These techniques do,however,still have some drawbacks,such as high computing complexity and content distortion caused by inadequate stylization.To address these problems,PhotoGAN,a new Generative AdversarialNetwork(GAN)model is proposed in this paper.A deeper feature extraction network has been designed to capture global information and local details better.Introducingmulti-scale attention modules helps the generator focus on important feature areas at different scales,further enhancing the effectiveness of feature extraction.Using a semantic discriminator helps the generator learn quickly and better understand image content,improving the consistency and visual quality of the generated images.Finally,qualitative and quantitative experiments were conducted on a self-built dataset.The experimental results indicate that PhotoGAN outperformed the current state-of-the-art techniques.It not only performed excellently on objective metrics but also appeared more visually appealing,particularly excelling in handling complex scenes and details.展开更多
文摘Background:Bullying is a current social and educational problem with detrimental consequences in adolescence and later life stages.Previous research has explored the risk or protective factor at different socio-ecological levels,but further integration is needed to examine the relationships of family characteristics.This study examines how parenting style and attachment relate to adolescents’bullying and cyberbullying,and whether parental phubbing mediates these links.Methods:Grounded in social bonding theory,we surveyed a cross-sectional convenience sample of U.S.college students(N=545;Mean_(age)=19.60,SD=1.41)who retrospectively reported middle/high-school experiences from Massachusetts,Colorado,and Virginia.Measures followed established traditions of bullying involvement,parenting style,and partner phubbing).Linear regressions tested associations among parenting style,attachment to parents/teachers,parental phubbing,and bullying/cyberbullying offending and victimization.Results:Stronger parental attachment and democratic(authoritative)parenting were associated with lower bullying victimization,and teacher attachment was protective for offline and overall offending.Critically,parents’excessive personal technology use(phubbing)mediated the link between democratic parenting and bullying outcomes:high parental device use attenuated or nullified the protective association of democratic parenting.Conclusion:Findings reaffirm the value of nurturing,boundary-setting parenting and close parent–child/teacher bonds,while highlighting a contemporary risk—parental device-related inattention.Despite rapid technological change,the core need for stable human connection remains central to reducing bullying involvement.
文摘Located in Hangzhou,Zhejiang Province,the Sijiqing Clothing Street is one of the largest clothing distribution centers in China.It gathers 23 professional markets and over 15,000 businesses.In November 2025,merchants were already preparing for sales during the 2026 Spring Festival and the spring/summer seasons.Children's clothing is one of the important product categories.What are the new trends in children's clothing sales?And what new changes are happening in this traditional wholesale market?
文摘Born in Penglai,Shandong Province in 1942,Jiang Baolin is currently working as a doctoral supervisor at the Chinese National Academy of Arts.He’s also a committee member and researcher at the China National Academy of Painting.He graduated from Zhejiang Academy of Fine Arts(now China Academy of Art),studying under such masters as Lu Yanshao and Gu Kunbo,and later pursued his master’s degree at the Central Academy of Fine Arts,sitting at the feet of masters like Li Keran.
文摘长期以来,学界皆视《译文》杂志1957年9月号刊出的范希衡译《论风格》为布封演说Discours Sur Le Style的权威译本,但在同为范译的1958年版《布封文钞》中,却有与之相异的《论文笔》译本。结合范氏其他译著,可以推断《论文笔》才是其本人所认可的原译本,《论风格》则极可能是《译文》杂志编辑修改其核心概念Style译法后的刊本。在西方Stylistics(语体学)中,Style的主要内涵是指具有不同特征的语言表达方式,而布封演说原文所论Style也是指具有规范性的文章笔法,即有层次和计划的语言表达方式,范氏采用的“文笔”这一译法准确传达了这一内涵。但在“风格”译名之下,Style概念关联的个性特征之维往往被加以突出,甚至成为主导性语义,而其所指称的“语言形式”这一基本内涵则被严重遮蔽。考释布封演说的不同译文,解读相关概念语义,不仅能够厘清诸多误读,更能在此基础上反思中国现代文学风格论的学理缺失,推动文体学、语体学、风格学研究范式的转换。
基金Shanghai Frontier Science Research Center for Modern Textiles,Donghua University,ChinaOpen Project of Henan Key Laboratory of Intelligent Manufacturing of Mechanical Equipment,Zhengzhou University of Light Industry,China(No.IM202303)National Key Research and Development Program of China(No.2019YFB1706300)。
文摘A personalized outfit recommendation has emerged as a hot research topic in the fashion domain.However,existing recommendations do not fully exploit user style preferences.Typically,users prefer particular styles such as casual and athletic styles,and consider attributes like color and texture when selecting outfits.To achieve personalized outfit recommendations in line with user style preferences,this paper proposes a personal style guided outfit recommendation with multi-modal fashion compatibility modeling,termed as PSGNet.Firstly,a style classifier is designed to categorize fashion images of various clothing types and attributes into distinct style categories.Secondly,a personal style prediction module extracts user style preferences by analyzing historical data.Then,to address the limitations of single-modal representations and enhance fashion compatibility,both fashion images and text data are leveraged to extract multi-modal features.Finally,PSGNet integrates these components through Bayesian personalized ranking(BPR)to unify the personal style and fashion compatibility,where the former is used as personal style features and guides the output of the personalized outfit recommendation tailored to the target user.Extensive experiments on large-scale datasets demonstrate that the proposed model is efficient on the personalized outfit recommendation.
文摘BACKGROUND Resilience is an individual’s ability and psychological rebound capacity to adapt well after experiencing adversity,trauma,etc.Patients with strong resilience can face illnesses actively.AIM To determine the association of resilience with coping styles and quality of life in patients with malignancies.METHODS This study included patients with malignant tumors who were hospitalized at Fuyang Hospital Affiliated to Anhui Medical University from March 2022 to March 2024.The Connor-Davidson Resilience Scale,Medical Coping Modes Questionnaire,Social Support Rating Scale,and the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 were utilized to assess patients’resilience,coping styles,social support,and quality of life,respectively.Pearson correlation analysis was conducted to assess the correlations.RESULTS A total of 175 patients with malignant tumors demonstrated no marked difference in terms of age,education level,employment status,monthly household income,and disease staging(P<0.05).Further,patients with malignancies demonstrated scores of 17.49±1.20,17.27±1.46,and 11.19±1.29 points in terms of coping styles in confrontation,avoidance,and resignation dimensions,respectively.Subjective support,objective support,and support utilization scores in terms of social support were 10.67±1.80,11.26±2.08,and 9.24±1.14 points,respectively.The total resilience score and tenacity,self-improvement,and optimism dimension scores were positively correlatedwith the confrontation coping style score,whereas the total resilience score and tenacity and self-improvementscores were negatively associated with avoidance and resignation coping style scores(P<0.05).The total resiliencescore and the tenacity dimension score were positively associated with physical,role,cognitive,emotional,andsocial functions,as well as global health status(P<0.05),and were inversely related to fatigue,insomnia,andeconomic difficulties(P<0.05).CONCLUSIONThe resilience of patients with malignancies is positively associated with the confrontation dimension in the copingstyle,the total and various social support domain scores,and the overall quality of life.Clinical medical staff needto pay attention to the effect of medical coping styles and social support on the resilience level of patients withmalignancies to further improve their quality of life.
基金funded by the Key R&D and Transformation Projects of Xizang(Tibet)Autonomous Region Science and Technology Program(funder:the Department of Science and Technology of the Xizang(Tibet)Autonomous Region),funding(grant)number:XZ202401ZY0004.
文摘Image style transfer is a research hotspot in the field of computer vision.For this job,many approaches have been put forth.These techniques do,however,still have some drawbacks,such as high computing complexity and content distortion caused by inadequate stylization.To address these problems,PhotoGAN,a new Generative AdversarialNetwork(GAN)model is proposed in this paper.A deeper feature extraction network has been designed to capture global information and local details better.Introducingmulti-scale attention modules helps the generator focus on important feature areas at different scales,further enhancing the effectiveness of feature extraction.Using a semantic discriminator helps the generator learn quickly and better understand image content,improving the consistency and visual quality of the generated images.Finally,qualitative and quantitative experiments were conducted on a self-built dataset.The experimental results indicate that PhotoGAN outperformed the current state-of-the-art techniques.It not only performed excellently on objective metrics but also appeared more visually appealing,particularly excelling in handling complex scenes and details.
