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
The integration of digital tools and effective knowledge management practices is critical for enhancing administrative efficiency and institutional continuity in higher education. This study investigates the relations...The integration of digital tools and effective knowledge management practices is critical for enhancing administrative efficiency and institutional continuity in higher education. This study investigates the relationships between knowledge modeling, institutional memory, leadership styles, technology, and administrative efficiency at the University of Cape Coast (UCC). The study sought to identify the challenges and opportunities in integrating digital tools into administrative processes and to provide actionable recommendations for improvement. A mixed-methods research design was employed, combining quantitative analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM) with qualitative thematic analysis of interviews. The findings revealed key challenges, including resistance to change, fragmented knowledge repositories, and inadequate funding, alongside opportunities such as centralized knowledge systems, cost-effective open-source tools, and capacity-building initiatives. The study highlights the importance of strategic leadership, robust policies, and investments in digital infrastructure to enhance administrative practices. Policy implications include the need for clear digital transformation guidelines and leadership training to foster innovation and collaboration. Recommendations include investing in scalable digital tools, implementing comprehensive capacity-building programs, and promoting stakeholder engagement to drive successful digital integration. These insights provide a roadmap for UCC and similar institutions seeking to optimize administrative efficiency through digital transformation.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
Background:The phenomenon of academic anxiety has been demonstrated to exert a considerable influence on students’academic engagement,leading to the emergence of a phenomenon known as“learned helplessness”and under...Background:The phenomenon of academic anxiety has been demonstrated to exert a considerable influence on students’academic engagement,leading to the emergence of a phenomenon known as“learned helplessness”and undermining the selfconfidence and motivation of high school students.Using acceptance-rejection theory,this study elucidated how a rejective parenting style affects Chinese high school students’academic anxiety and explored the urban-rural heterogeneity of this relationship.Methods:Data were analyzed using a stratified whole-cluster random sampling method.There are a total of 30,000 high school students in the three regions of northern and central China(from Shanxi,Hebei and Henan).A sample of 2286 high school students aged 14–19 years was ultimately selected from 2760 respondents for this investigation,which was conducted at the beginning of the 2023 school year.Pearson correlation,ordinary least squares(OLS)regression analysis,path analysis,and Fisher’s permutation test(FPT)were used to examine the effects of rejective parenting style on high school students’academic anxiety.Results:Results indicated a significant positive predictive effect between rejective parenting style and academic anxiety among high school students(β=0.815,t=116.211,p<0.001).Students’self-concept was significantly positively related to positive coping style(β=0.424,t=21.208,p<0.001)and chain-mediated this relationship.Therefore,this parenting style may indirectly mitigate academic anxiety through these mediators.The study also found that the effect of rejective parenting style on academic anxiety varied by students’residential background and was more pronounced in urban areas(0.226)than in rural areas(0.130).Conclusion:The research underscores the imperative for Chinese families to reexamine their utilization of rejection parenting and to prioritize the cultivation of students’intrinsic attributes.These findings offer a theoretical framework and practical evidence for policymakers and educators to develop efficacious and targeted interventions.In particular,greater attention should be directed towards the discrepancies in the manifestation of emotional and academic anxiety between urban and rural students,and prompt guidance should be furnished.展开更多
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.
文摘The integration of digital tools and effective knowledge management practices is critical for enhancing administrative efficiency and institutional continuity in higher education. This study investigates the relationships between knowledge modeling, institutional memory, leadership styles, technology, and administrative efficiency at the University of Cape Coast (UCC). The study sought to identify the challenges and opportunities in integrating digital tools into administrative processes and to provide actionable recommendations for improvement. A mixed-methods research design was employed, combining quantitative analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM) with qualitative thematic analysis of interviews. The findings revealed key challenges, including resistance to change, fragmented knowledge repositories, and inadequate funding, alongside opportunities such as centralized knowledge systems, cost-effective open-source tools, and capacity-building initiatives. The study highlights the importance of strategic leadership, robust policies, and investments in digital infrastructure to enhance administrative practices. Policy implications include the need for clear digital transformation guidelines and leadership training to foster innovation and collaboration. Recommendations include investing in scalable digital tools, implementing comprehensive capacity-building programs, and promoting stakeholder engagement to drive successful digital integration. These insights provide a roadmap for UCC and similar institutions seeking to optimize administrative efficiency through digital transformation.
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.
基金funded by the Key Discipline Construction Project of the Liaoning Provincial Social Science Planning Fund(grant ID:L24ZD042)。
文摘Background:The phenomenon of academic anxiety has been demonstrated to exert a considerable influence on students’academic engagement,leading to the emergence of a phenomenon known as“learned helplessness”and undermining the selfconfidence and motivation of high school students.Using acceptance-rejection theory,this study elucidated how a rejective parenting style affects Chinese high school students’academic anxiety and explored the urban-rural heterogeneity of this relationship.Methods:Data were analyzed using a stratified whole-cluster random sampling method.There are a total of 30,000 high school students in the three regions of northern and central China(from Shanxi,Hebei and Henan).A sample of 2286 high school students aged 14–19 years was ultimately selected from 2760 respondents for this investigation,which was conducted at the beginning of the 2023 school year.Pearson correlation,ordinary least squares(OLS)regression analysis,path analysis,and Fisher’s permutation test(FPT)were used to examine the effects of rejective parenting style on high school students’academic anxiety.Results:Results indicated a significant positive predictive effect between rejective parenting style and academic anxiety among high school students(β=0.815,t=116.211,p<0.001).Students’self-concept was significantly positively related to positive coping style(β=0.424,t=21.208,p<0.001)and chain-mediated this relationship.Therefore,this parenting style may indirectly mitigate academic anxiety through these mediators.The study also found that the effect of rejective parenting style on academic anxiety varied by students’residential background and was more pronounced in urban areas(0.226)than in rural areas(0.130).Conclusion:The research underscores the imperative for Chinese families to reexamine their utilization of rejection parenting and to prioritize the cultivation of students’intrinsic attributes.These findings offer a theoretical framework and practical evidence for policymakers and educators to develop efficacious and targeted interventions.In particular,greater attention should be directed towards the discrepancies in the manifestation of emotional and academic anxiety between urban and rural students,and prompt guidance should be furnished.
