Prepared with concrete and pragmatic questions,members of a media delegation from the Republic of the Congo toured the cities of Yunfu and Zhaoqing in Guangdong Province from 16 to 22 November 2025.They visited produc...Prepared with concrete and pragmatic questions,members of a media delegation from the Republic of the Congo toured the cities of Yunfu and Zhaoqing in Guangdong Province from 16 to 22 November 2025.They visited production workshops,explored research institutes,toured beautiful villages and discovered archaeological sites,searching for the keys to Chinese modernisation in its many dimensions.展开更多
To meet the requirements of electromagnetic(EM)theory and applied physics,this study presents an overview of the state-of-the-art research on obtaining the EM properties of media and points out potential solutions tha...To meet the requirements of electromagnetic(EM)theory and applied physics,this study presents an overview of the state-of-the-art research on obtaining the EM properties of media and points out potential solutions that can break through the bottlenecks of current methods.Firstly,based on the survey of three mainstream approaches for acquiring EM properties of media,we identify the difficulties when implementing them in realistic environments.With a focus on addressing these problems and challenges,we propose a novel paradigm for obtaining the EM properties of multi-type media in realistic environments.Particularly,within this paradigm,we describe the implementation approach of the key technology,namely“multipath extraction using heterogeneous wave propagation data in multi-spectrum cases”.Finally,the latest measurement and simulation results show that the EM properties of multi-type media in realistic environments can be precisely and efficiently acquired by the methodology proposed in this study.展开更多
High-resolution seeing through complex scattering media such as turbid water,biological tissues,and mist is a significant challenge because the strong scattering scrambles the light paths and forms the scattering wall...High-resolution seeing through complex scattering media such as turbid water,biological tissues,and mist is a significant challenge because the strong scattering scrambles the light paths and forms the scattering wall.We propose an active polarized iterative optimization approach for high-resolution imaging through complex scattering media.By acquiring a series of sub-polarized images,we can capture the diverse pattern-illuminated images with various high-frequency component information caused by the Brownian motion of complex scattering materials,which are processed using the common-mode rejection of polarization characteristics to extract target information from scattering medium information.Following that,our computational reconstruction technique employs an iterative optimization algorithm that commences with patternilluminated Fourier ptychography for reconstructing the high-resolution scene.It is extremely important that our approach for high-resolution imaging through complex scattering media is not limited by priori information and optical memory effect.The proposed approach is suitable for not only dynamic but also static scattering media,which may find applications in the biomedicine field,such as skin abnormalities,non-invasive blood flow,and superficial tumors.展开更多
The electrokinetic(EK)process has been proposed for soil decontamination from heavy metals and organic matter.The advantages of the EK process include the low operating energy,suitability for fine-grained soil deconta...The electrokinetic(EK)process has been proposed for soil decontamination from heavy metals and organic matter.The advantages of the EK process include the low operating energy,suitability for fine-grained soil decontamination,and no need for excavation.During the last three decades,enhanced and hybrid EK systems were developed and tested for improving the efficiency of contaminants removal from soils.Chemically enhanced-EK processes exhibited excellent efficiency in removing contaminants by controlling the soil pH or the chemical reaction of contaminants.EK hybrid systems were tested to overcome environmental hurdles or technical drawbacks of decontamination technologies.Hybridization of the EK process with phytoremediation,bioremediation,or reactive filtermedia(RFM)improved the remediation process performance by capturing contaminants or facilitating biological agents’movement in the soil.Also,EK process coupling with solar energy was proposed to treat off-grid contaminated soils or reduce the EK energy requirements.This study reviews recent advancements in the enhancement and hybrid EK systems for soil remediation and the type of contaminants targeted by the process.The study also covered the impact of operating parameters,imperfect pollution separation,and differences in the physicochemical characteristics and microstructure of soil/sediment on the EK performance.Finally,a comparison between various remediation processes was presented to highlight the pros and cons of these technologies.展开更多
New pollutants have become a significant concern in China's efforts toward ecological and environmental protection.Trichloromethane(TCM,CHCl_3),one of these new pollutants,is primarily released into soil and groun...New pollutants have become a significant concern in China's efforts toward ecological and environmental protection.Trichloromethane(TCM,CHCl_3),one of these new pollutants,is primarily released into soil and groundwater through various industrial activities.Over the past four decades,researchers have consistently focused on the remediation of TCM-contaminated soil and groundwater using microorganisms and iron-based materials,which hold significant potential for practical application.Understanding the remediation process and the factors influencing TCM degradation through these two methods is crucial for advancing both theoretical research and practical implementation.This review focuses on the degradation mechanisms of TCM in soil and groundwater by microorganisms and iron-based materials.It summarizes the active microorganisms and modified iron-based materials with high TCM degradation capabilities,discusses enhancement measures for both methods in the remediation process,and finally,outlines the challenges faced by these methods.The goal is to provide theoretical references for efficient remediation of TCM-contaminated soil and groundwater.展开更多
Background:Weight-related self-stigma(WRSS)is prevalent among individuals with different types of weight status and is associated with a range of negative health outcomes.Social support and coping models explain how i...Background:Weight-related self-stigma(WRSS)is prevalent among individuals with different types of weight status and is associated with a range of negative health outcomes.Social support and coping models explain how individuals may use different coping methods to deal with their mental health needs.Psychological distress(e.g.,depression and stress)could lead to overuse of social media and smartphones.When using social media or smartphones,individuals are likely to be exposed to negative comments regarding weight/shape/size posted on the social media.Consequently,individuals who experience problematic social media use(PSMU)or problematic smartphone use(PSPU)may develop WRSS.Therefore,the present study examined the roles of PSMU and PSPU as mediators in the relationship between psychological distress and WRSS.Methods:Using convenience sampling via an online survey,622 participants with a mean age of 23.70 years(SD=4.33)completed questions assessing sociodemographic variables,psychological distress,PSMU,PSPU,WRSS,and self-reported weight and height.Results:The hierarchical regression models showed that sex(β=0.08,p=0.01),BMI(β=0.39,p<0.001),depression(β=0.21,p=0.001),stress(β=0.18,p=0.01),PSMU(β=0.09,p=0.045),and PSPU(β=0.14,p=0.001)were significant factors for WRSS.Conclusion:The mediation models showed that both PSMU and PSPU were significant mediators in the relationships between depression and stress with WRSS.The present findings provide some evidence for understanding WRSS and has important implications for developing interventions to reduce its negative impact on individuals’health and well-being.展开更多
Determining the predictors of screen media use will assist nurses and clinicians to identify the children that are in most need for intervention. There is limited literature regarding the predictors of screen media us...Determining the predictors of screen media use will assist nurses and clinicians to identify the children that are in most need for intervention. There is limited literature regarding the predictors of screen media use among children. This study aimed to examine the association between selected predictors and screen media use among children aged 3 - 13. The findings of this study are based on 192 children aged 3 - 13 and their caregivers recruited from Facebook and WhatsApp groups. A descriptive cross-sectional design was employed. The participants filled a demographic questionnaire and the Problematic Media Use Measure Short Form to obtain data about parents’ and children characteristics, screen time and problematic use of media. The screen time for 83% of the children was more than two hours. Mobile ownership (beta (β) = 0.22) and conflict about mobile use (beta (β) = 0.16) have significantly predicted the child total screen time. Child age (beta (β) = 0.17) and conflict about mobile use (beta (β) = −0.33) have significantly predicted the problematic use of media. Most children in the current study exceeded the recommended screen time. There is an urgent need to implement interventions that mitigate children’s excessive use of media.展开更多
This study analyzed how impressions are formed online depending on the type of social media and the implications that may come from the over-disclosure of information. Using a Qualtrics survey, 97 participants viewed ...This study analyzed how impressions are formed online depending on the type of social media and the implications that may come from the over-disclosure of information. Using a Qualtrics survey, 97 participants viewed the profile of a female teaching assistant on Twitter and Facebook. While there was little difference between the two social media, the use of self-disclosure on Twitter seemed slightly more inappropriate for sharing personal information.展开更多
The rise of social media platforms has revolutionized communication, enabling the exchange of vast amounts of data through text, audio, images, and videos. These platforms have become critical for sharing opinions and...The rise of social media platforms has revolutionized communication, enabling the exchange of vast amounts of data through text, audio, images, and videos. These platforms have become critical for sharing opinions and insights, influencing daily habits, and driving business, political, and economic decisions. Text posts are particularly significant, and natural language processing (NLP) has emerged as a powerful tool for analyzing such data. While traditional NLP methods have been effective for structured media, social media content poses unique challenges due to its informal and diverse nature. This has spurred the development of new techniques tailored for processing and extracting insights from unstructured user-generated text. One key application of NLP is the summarization of user comments to manage overwhelming content volumes. Abstractive summarization has proven highly effective in generating concise, human-like summaries, offering clear overviews of key themes and sentiments. This enhances understanding and engagement while reducing cognitive effort for users. For businesses, summarization provides actionable insights into customer preferences and feedback, enabling faster trend analysis, improved responsiveness, and strategic adaptability. By distilling complex data into manageable insights, summarization plays a vital role in improving user experiences and empowering informed decision-making in a data-driven landscape. This paper proposes a new implementation framework by fine-tuning and parameterizing Transformer Large Language Models to manage and maintain linguistic and semantic components in abstractive summary generation. The system excels in transforming large volumes of data into meaningful summaries, as evidenced by its strong performance across metrics like fluency, consistency, readability, and semantic coherence.展开更多
Social media, especially among the youth, is growing exponentially in our world today as more people gain access to the internet. However, the sharp increase in social media usage has led to concerns about mental heal...Social media, especially among the youth, is growing exponentially in our world today as more people gain access to the internet. However, the sharp increase in social media usage has led to concerns about mental health and overall well-being. While social media can be valuable for staying connected with friends and being informed about the world, it can also bring about a multitude of problems, especially among the youth. This paper aims to examine available research on the relationship between social media and issues such as depression, anxiety, and cyberbullying among adolescents. Furthermore, it will explore how childhood maltreatment can affect how an individual interacts with social media. This paper not only explains how social media could have a negative effect on adolescents, with many of the aforementioned problems being linked to social media usage, but also how social media could also bring about some benefits. However, further research is needed to better understand the complexity of youth’s relationship with social media.展开更多
The rapid development of Internet technology has made“Internet+”a hallmark of the current era.The transformation and development of traditional media into all-media have provided a guiding direction for the developm...The rapid development of Internet technology has made“Internet+”a hallmark of the current era.The transformation and development of traditional media into all-media have provided a guiding direction for the development of campus media.The traditional form of campus media,which mainly consists of campus newspapers and campus radio,can no longer meet the application demands of modern higher education for media.In line with the current media convergence environment,campus media need to actively innovate to achieve their own development and progress in keeping with the times.This article explores the innovation path of campus media in the context of media convergence,analyzing the promotion of campus media innovation by the development of new media,the diversification of campus media innovation,and the effective ways of campus media innovation,in order to promote the realization of the innovation and development goals of campus media in the context of media convergence.展开更多
The social sphere enters into dialectics with traditional media:news and narratives,comments and criticisms bounce from one side to the other.From this point of view,the TV of talk and infotainment is an emblematic ca...The social sphere enters into dialectics with traditional media:news and narratives,comments and criticisms bounce from one side to the other.From this point of view,the TV of talk and infotainment is an emblematic case.The rich diffusion of the new digital channels,the consolidation of satellite television,but also the explosion of on demand content,have urged the player market to exercise hybrid solutions for enriching and integrating the television offer,appealing to the potential given by the web.The television networks-being aware of the re-determination of the medium-combine and integrate new engagment models and strategies with the offer of con-tents and the programming strategies typical of generalist television.The television networks-being aware of the re-determination of the medium-combine and integrate new engagment models and strategies with the of-fer of contents nd the programming strategies typical of generalist television.展开更多
This paper presents the findings of a two-week monitoring project on Gender Based Violence(GBV)in Tanzanian and explores how the media outlets frame the marginalized voices,institutional narratives,and intersectional ...This paper presents the findings of a two-week monitoring project on Gender Based Violence(GBV)in Tanzanian and explores how the media outlets frame the marginalized voices,institutional narratives,and intersectional inclusivity.Drawing qualitative approach and analysis of media coverage of GBV during the 202416 Days of Activism campaign remarkably November 25 to December 10,2024,it reveals the extent that media platforms amplify or marginalize survivor voices.Through two weeks of media monitoring across print,broadcast,and social media including sources notably Mwananchi,TBC1,Cloud FM,and advocacy-driven digital platforms and campaigns through#EndGBVNow and#16DaysOfActivism the study explores recurring themes,language use,tone,and inclusivity.Guided by critical gender theories including Judith Butler’s gender performativity and Gave Tuchman’s symbolic annihilation,the analysis reveals media’s dual role in either perpetuating or challenging patriarchal narratives.Findings indicate that traditional media often foreground prevailing institutional voices while underrepresenting marginalized groups,especially rural women and women with disabilities,portraying harmful cultural practices like FGM and child marriage as community challenges rather than universal human rights violation.Conversely,social media emerged as a transformative space for survivor-led advocacy.Hence the study calls for inclusive,ethical,and survivor-centered media reporting as well as strategic integration of digital and mainstream media to promote justice and policy reform in GBV reporting.展开更多
The spherically layered media theory has wide applications for electromagnetic wave scattering analysis.Due to the involved Bessel functions,the conventional formulations of spherically layered media theory suffer fro...The spherically layered media theory has wide applications for electromagnetic wave scattering analysis.Due to the involved Bessel functions,the conventional formulations of spherically layered media theory suffer from numerical overflow or underflow when the Bessel function’s order is large,the argument is small or the argument has a large imaginary part.The first two issues have been solved recently by employing small-argument asymptotic formulas of Bessel functions,while the third issue remains unsolved.In this paper,the Bessel functions in the conventional formulation of the theory are replaced by scaled Bessel functions which have good numerical properties for high loss media,and stable formulas are derived.Numerical tests show that this approach can work properly with very high lossy media.Also,this approach can be seamlessly combined with the stable computation method for cases of small argument and large order of Bessel functions.展开更多
In the digital age,where traditional culture is in danger of gradually disappearing,one iconic figure has taken it upon herself to reverse the trend by reviving traditional skills.A prominent Chinese vlogger,Li Ziqi,w...In the digital age,where traditional culture is in danger of gradually disappearing,one iconic figure has taken it upon herself to reverse the trend by reviving traditional skills.A prominent Chinese vlogger,Li Ziqi,whose birth name is Li Jiajia,has amassed a vast online following by reinterpreting traditions that date back thousands of years.Following a threeyear absence from social media,she made a highly anticipated return with the release of three new videos in mid-November 2024.These videos represent the culmination of several months of behind-the-scenes work.展开更多
This study investigates how artificial intelligence(AI)algorithms enable mainstream media to achieve precise emotional matching and improve communication efficiency through reconstructed communication logic.As digital...This study investigates how artificial intelligence(AI)algorithms enable mainstream media to achieve precise emotional matching and improve communication efficiency through reconstructed communication logic.As digital intelligence technology rapidly evolves,mainstream media organizations are increasingly leveraging AI-driven empathy algorithms to enhance audience engagement and optimize content delivery.This research employs a mixed-methods approach,combining quantitative analysis of algorithmic performance metrics with qualitative examination of media communication patterns.Through systematic review of 150 academic papers and analysis of data from 12 major media platforms,this study reveals that algorithmic empathy systems can improve emotional resonance by 34.7%and increase audience engagement by 28.3%compared to traditional communication methods.The findings demonstrate that AI algorithms reconstruct media communication logic through three primary pathways:emotional pattern recognition,personalized content curation,and real-time sentiment adaptation.However,the study also identifies significant challenges including algorithmic bias,emotional authenticity concerns,and ethical implications of automated empathy.The research contributes to understanding how mainstream media can leverage AI technology to build high-quality empathetic communication while maintaining journalistic integrity and social responsibility.展开更多
Under the blazing sun of Kamuli District in Uganda’s Eastern Region,a group of young farmers gathered around a patch of freshly turned red soil.Cameras rolled as Uganda’s First Deputy Prime Minister Rebecca Kadaga j...Under the blazing sun of Kamuli District in Uganda’s Eastern Region,a group of young farmers gathered around a patch of freshly turned red soil.Cameras rolled as Uganda’s First Deputy Prime Minister Rebecca Kadaga joined local youth to plant the first chilli seedlings on a 10-acre(4.05 hectares)demonstration farm.The live broadcast,aired on the national agricultural television programme Kungula,marked not only the launch of a digital farming project led by AMPA Media,but also symbolised Africa’s growing ambition to unite tradition with technology.展开更多
Background Social media listening is a new approach for gathering insights from social media platforms about users experiences.This approach has not been applied to analyse discussions about Alzheimer's disease(AD...Background Social media listening is a new approach for gathering insights from social media platforms about users experiences.This approach has not been applied to analyse discussions about Alzheimer's disease(AD)in China.Aims We aimed to leverage multisource Chinese data to gain deeper insights into the current state of the daily management of Chinese patients with AD and the burdens faced by their caregivers.Methods We searched ninemainstreampublic onlineplatforms in China fromSeptember2010 to March 2024.Natural language processing tools were used to identify patients and caregivers,and categorise patients by disease stage forfurther analysis.We analysed the current state of patient daily management,including diagnosis and treatment,choice oftreatment scenarios,patient safetyand caregiverconcerns.Results Atotal of 1211patientswithAD(66% female,82% aged 60-90)and 756caregiversfor patients with AD were identified from 107556 online sources.Most patients were derived from online consultation platforms(43%),followed by bulletin board system platforms(24%).Among the patients categorised into specific disease stages(n=382),42% were in the moderate stage.The most frequent diagnostic tools included medical history(97%)and symptoms(84%).Treatment options for patients with AD primarily included cholinesterase inhibitors,N-methyl-D-aspartate receptor antagonists and antipsychotics.Both quantitative and qualitative analysis of patients whoexperiencedwandering(n=92)indicated a higher incidence of wandering during the moderate stage of the disease.Most caregivers were family members,with their primary concerns focusing on disease management and treatment(90%),followed by daily life care(37%)and psychosocial support(25%).Conclusions Online platform data provide a broad spectrum of real-world insights into individuals affected byAD in China.This study enhances our understanding of the experiences of patients with AD and their caregivers,providing guidance for developing personalised interventions,providing advicefor caregivers and improving care for patients with AD.展开更多
In the fields of reservoir fracture prediction and fracturing monitoring,shear-wave splitting analysis has exhibited notable technical advantages.Compared with compressional waves,it offers a more robust capability fo...In the fields of reservoir fracture prediction and fracturing monitoring,shear-wave splitting analysis has exhibited notable technical advantages.Compared with compressional waves,it offers a more robust capability for predicting the orientation and extent of fracture development systems or formation heterogeneity.In regions characterized by vertically or unidirectionally fractured thin interbedded formations,conventional shear-wave splitting analysis and correction methods based on the HTI(Horizontal Transverse Isotropy)medium model are inadequate.These methods fail to account for the increased propagation time difference between fast and slow shear-waves as they accumulate through layered media.This limitation arises because the subsurface medium in such scenarios is more accurately approximated by an orthotropic medium model.To address this challenge,shear-wave splitting analysis and correction methods based on orthotropic media have been developed and implemented.The method first determines the fracture orientation using established techniques,then separates the fast and slow shear-waves through wavefield rotation,and finally employs a matching algorithm to compute the instantaneous time difference between the fast and slow shear-waves.By introducing time-varying delay correction,this approach enables the accurate estimation of delay values that better reflect the actual properties of the subsurface medium.As a result,it enhances the precision of fracture detection in targeted formation intervals.The method has demonstrated excellent performance in both synthetic model and real-data applications.展开更多
文摘Prepared with concrete and pragmatic questions,members of a media delegation from the Republic of the Congo toured the cities of Yunfu and Zhaoqing in Guangdong Province from 16 to 22 November 2025.They visited production workshops,explored research institutes,toured beautiful villages and discovered archaeological sites,searching for the keys to Chinese modernisation in its many dimensions.
基金supported by the Beijing Natural Science Foundation(No.L212029)the National Natural Science Foundation of China(No.62271043).
文摘To meet the requirements of electromagnetic(EM)theory and applied physics,this study presents an overview of the state-of-the-art research on obtaining the EM properties of media and points out potential solutions that can break through the bottlenecks of current methods.Firstly,based on the survey of three mainstream approaches for acquiring EM properties of media,we identify the difficulties when implementing them in realistic environments.With a focus on addressing these problems and challenges,we propose a novel paradigm for obtaining the EM properties of multi-type media in realistic environments.Particularly,within this paradigm,we describe the implementation approach of the key technology,namely“multipath extraction using heterogeneous wave propagation data in multi-spectrum cases”.Finally,the latest measurement and simulation results show that the EM properties of multi-type media in realistic environments can be precisely and efficiently acquired by the methodology proposed in this study.
基金supported by the National Natural Science Foundation of China(Grant Nos.62205259,62075175,62105254,and 62375212)the National Key Laboratory of Infrared Detection Technologies(Grant No.IRDT-23-06)+1 种基金the Fundamental Research Funds for the Central Universities(Grant Nos.XJSJ24028,XJS222202,ZYTS24097,and ZYTS24095)the Open Research Fund of Beijing Key Laboratory of Advanced Optical Remote Sensing Technology.
文摘High-resolution seeing through complex scattering media such as turbid water,biological tissues,and mist is a significant challenge because the strong scattering scrambles the light paths and forms the scattering wall.We propose an active polarized iterative optimization approach for high-resolution imaging through complex scattering media.By acquiring a series of sub-polarized images,we can capture the diverse pattern-illuminated images with various high-frequency component information caused by the Brownian motion of complex scattering materials,which are processed using the common-mode rejection of polarization characteristics to extract target information from scattering medium information.Following that,our computational reconstruction technique employs an iterative optimization algorithm that commences with patternilluminated Fourier ptychography for reconstructing the high-resolution scene.It is extremely important that our approach for high-resolution imaging through complex scattering media is not limited by priori information and optical memory effect.The proposed approach is suitable for not only dynamic but also static scattering media,which may find applications in the biomedicine field,such as skin abnormalities,non-invasive blood flow,and superficial tumors.
文摘The electrokinetic(EK)process has been proposed for soil decontamination from heavy metals and organic matter.The advantages of the EK process include the low operating energy,suitability for fine-grained soil decontamination,and no need for excavation.During the last three decades,enhanced and hybrid EK systems were developed and tested for improving the efficiency of contaminants removal from soils.Chemically enhanced-EK processes exhibited excellent efficiency in removing contaminants by controlling the soil pH or the chemical reaction of contaminants.EK hybrid systems were tested to overcome environmental hurdles or technical drawbacks of decontamination technologies.Hybridization of the EK process with phytoremediation,bioremediation,or reactive filtermedia(RFM)improved the remediation process performance by capturing contaminants or facilitating biological agents’movement in the soil.Also,EK process coupling with solar energy was proposed to treat off-grid contaminated soils or reduce the EK energy requirements.This study reviews recent advancements in the enhancement and hybrid EK systems for soil remediation and the type of contaminants targeted by the process.The study also covered the impact of operating parameters,imperfect pollution separation,and differences in the physicochemical characteristics and microstructure of soil/sediment on the EK performance.Finally,a comparison between various remediation processes was presented to highlight the pros and cons of these technologies.
基金financially supported by the National Natural Science Foundation of China(Nos.42177239 and 41991330)the“14th Five Year Plan”of Independent Deployment Project of Nanjing Institute of Soil Research,Chinese Academy of Sciences(No.ISSASIP2213)。
文摘New pollutants have become a significant concern in China's efforts toward ecological and environmental protection.Trichloromethane(TCM,CHCl_3),one of these new pollutants,is primarily released into soil and groundwater through various industrial activities.Over the past four decades,researchers have consistently focused on the remediation of TCM-contaminated soil and groundwater using microorganisms and iron-based materials,which hold significant potential for practical application.Understanding the remediation process and the factors influencing TCM degradation through these two methods is crucial for advancing both theoretical research and practical implementation.This review focuses on the degradation mechanisms of TCM in soil and groundwater by microorganisms and iron-based materials.It summarizes the active microorganisms and modified iron-based materials with high TCM degradation capabilities,discusses enhancement measures for both methods in the remediation process,and finally,outlines the challenges faced by these methods.The goal is to provide theoretical references for efficient remediation of TCM-contaminated soil and groundwater.
基金supported in part by(received funding from)the Ministry of Science and Technology,Taiwan(MOST 110-2410-H-006-115,MOST 111-2410-H-006-100)the National Science and Technology Council,Taiwan(NSTC 112-2410-H-006-089-SS2)+1 种基金the Higher Education Sprout Project,the Ministry of Education at the Headquarters of University Advancement at the National Cheng Kung University(NCKU)the 2021 Southeast and South Asia and Taiwan Universities Joint Research Scheme(NCKU 31).
文摘Background:Weight-related self-stigma(WRSS)is prevalent among individuals with different types of weight status and is associated with a range of negative health outcomes.Social support and coping models explain how individuals may use different coping methods to deal with their mental health needs.Psychological distress(e.g.,depression and stress)could lead to overuse of social media and smartphones.When using social media or smartphones,individuals are likely to be exposed to negative comments regarding weight/shape/size posted on the social media.Consequently,individuals who experience problematic social media use(PSMU)or problematic smartphone use(PSPU)may develop WRSS.Therefore,the present study examined the roles of PSMU and PSPU as mediators in the relationship between psychological distress and WRSS.Methods:Using convenience sampling via an online survey,622 participants with a mean age of 23.70 years(SD=4.33)completed questions assessing sociodemographic variables,psychological distress,PSMU,PSPU,WRSS,and self-reported weight and height.Results:The hierarchical regression models showed that sex(β=0.08,p=0.01),BMI(β=0.39,p<0.001),depression(β=0.21,p=0.001),stress(β=0.18,p=0.01),PSMU(β=0.09,p=0.045),and PSPU(β=0.14,p=0.001)were significant factors for WRSS.Conclusion:The mediation models showed that both PSMU and PSPU were significant mediators in the relationships between depression and stress with WRSS.The present findings provide some evidence for understanding WRSS and has important implications for developing interventions to reduce its negative impact on individuals’health and well-being.
文摘Determining the predictors of screen media use will assist nurses and clinicians to identify the children that are in most need for intervention. There is limited literature regarding the predictors of screen media use among children. This study aimed to examine the association between selected predictors and screen media use among children aged 3 - 13. The findings of this study are based on 192 children aged 3 - 13 and their caregivers recruited from Facebook and WhatsApp groups. A descriptive cross-sectional design was employed. The participants filled a demographic questionnaire and the Problematic Media Use Measure Short Form to obtain data about parents’ and children characteristics, screen time and problematic use of media. The screen time for 83% of the children was more than two hours. Mobile ownership (beta (β) = 0.22) and conflict about mobile use (beta (β) = 0.16) have significantly predicted the child total screen time. Child age (beta (β) = 0.17) and conflict about mobile use (beta (β) = −0.33) have significantly predicted the problematic use of media. Most children in the current study exceeded the recommended screen time. There is an urgent need to implement interventions that mitigate children’s excessive use of media.
文摘This study analyzed how impressions are formed online depending on the type of social media and the implications that may come from the over-disclosure of information. Using a Qualtrics survey, 97 participants viewed the profile of a female teaching assistant on Twitter and Facebook. While there was little difference between the two social media, the use of self-disclosure on Twitter seemed slightly more inappropriate for sharing personal information.
文摘The rise of social media platforms has revolutionized communication, enabling the exchange of vast amounts of data through text, audio, images, and videos. These platforms have become critical for sharing opinions and insights, influencing daily habits, and driving business, political, and economic decisions. Text posts are particularly significant, and natural language processing (NLP) has emerged as a powerful tool for analyzing such data. While traditional NLP methods have been effective for structured media, social media content poses unique challenges due to its informal and diverse nature. This has spurred the development of new techniques tailored for processing and extracting insights from unstructured user-generated text. One key application of NLP is the summarization of user comments to manage overwhelming content volumes. Abstractive summarization has proven highly effective in generating concise, human-like summaries, offering clear overviews of key themes and sentiments. This enhances understanding and engagement while reducing cognitive effort for users. For businesses, summarization provides actionable insights into customer preferences and feedback, enabling faster trend analysis, improved responsiveness, and strategic adaptability. By distilling complex data into manageable insights, summarization plays a vital role in improving user experiences and empowering informed decision-making in a data-driven landscape. This paper proposes a new implementation framework by fine-tuning and parameterizing Transformer Large Language Models to manage and maintain linguistic and semantic components in abstractive summary generation. The system excels in transforming large volumes of data into meaningful summaries, as evidenced by its strong performance across metrics like fluency, consistency, readability, and semantic coherence.
文摘Social media, especially among the youth, is growing exponentially in our world today as more people gain access to the internet. However, the sharp increase in social media usage has led to concerns about mental health and overall well-being. While social media can be valuable for staying connected with friends and being informed about the world, it can also bring about a multitude of problems, especially among the youth. This paper aims to examine available research on the relationship between social media and issues such as depression, anxiety, and cyberbullying among adolescents. Furthermore, it will explore how childhood maltreatment can affect how an individual interacts with social media. This paper not only explains how social media could have a negative effect on adolescents, with many of the aforementioned problems being linked to social media usage, but also how social media could also bring about some benefits. However, further research is needed to better understand the complexity of youth’s relationship with social media.
文摘The rapid development of Internet technology has made“Internet+”a hallmark of the current era.The transformation and development of traditional media into all-media have provided a guiding direction for the development of campus media.The traditional form of campus media,which mainly consists of campus newspapers and campus radio,can no longer meet the application demands of modern higher education for media.In line with the current media convergence environment,campus media need to actively innovate to achieve their own development and progress in keeping with the times.This article explores the innovation path of campus media in the context of media convergence,analyzing the promotion of campus media innovation by the development of new media,the diversification of campus media innovation,and the effective ways of campus media innovation,in order to promote the realization of the innovation and development goals of campus media in the context of media convergence.
文摘The social sphere enters into dialectics with traditional media:news and narratives,comments and criticisms bounce from one side to the other.From this point of view,the TV of talk and infotainment is an emblematic case.The rich diffusion of the new digital channels,the consolidation of satellite television,but also the explosion of on demand content,have urged the player market to exercise hybrid solutions for enriching and integrating the television offer,appealing to the potential given by the web.The television networks-being aware of the re-determination of the medium-combine and integrate new engagment models and strategies with the offer of con-tents and the programming strategies typical of generalist television.The television networks-being aware of the re-determination of the medium-combine and integrate new engagment models and strategies with the of-fer of contents nd the programming strategies typical of generalist television.
文摘This paper presents the findings of a two-week monitoring project on Gender Based Violence(GBV)in Tanzanian and explores how the media outlets frame the marginalized voices,institutional narratives,and intersectional inclusivity.Drawing qualitative approach and analysis of media coverage of GBV during the 202416 Days of Activism campaign remarkably November 25 to December 10,2024,it reveals the extent that media platforms amplify or marginalize survivor voices.Through two weeks of media monitoring across print,broadcast,and social media including sources notably Mwananchi,TBC1,Cloud FM,and advocacy-driven digital platforms and campaigns through#EndGBVNow and#16DaysOfActivism the study explores recurring themes,language use,tone,and inclusivity.Guided by critical gender theories including Judith Butler’s gender performativity and Gave Tuchman’s symbolic annihilation,the analysis reveals media’s dual role in either perpetuating or challenging patriarchal narratives.Findings indicate that traditional media often foreground prevailing institutional voices while underrepresenting marginalized groups,especially rural women and women with disabilities,portraying harmful cultural practices like FGM and child marriage as community challenges rather than universal human rights violation.Conversely,social media emerged as a transformative space for survivor-led advocacy.Hence the study calls for inclusive,ethical,and survivor-centered media reporting as well as strategic integration of digital and mainstream media to promote justice and policy reform in GBV reporting.
文摘The spherically layered media theory has wide applications for electromagnetic wave scattering analysis.Due to the involved Bessel functions,the conventional formulations of spherically layered media theory suffer from numerical overflow or underflow when the Bessel function’s order is large,the argument is small or the argument has a large imaginary part.The first two issues have been solved recently by employing small-argument asymptotic formulas of Bessel functions,while the third issue remains unsolved.In this paper,the Bessel functions in the conventional formulation of the theory are replaced by scaled Bessel functions which have good numerical properties for high loss media,and stable formulas are derived.Numerical tests show that this approach can work properly with very high lossy media.Also,this approach can be seamlessly combined with the stable computation method for cases of small argument and large order of Bessel functions.
文摘In the digital age,where traditional culture is in danger of gradually disappearing,one iconic figure has taken it upon herself to reverse the trend by reviving traditional skills.A prominent Chinese vlogger,Li Ziqi,whose birth name is Li Jiajia,has amassed a vast online following by reinterpreting traditions that date back thousands of years.Following a threeyear absence from social media,she made a highly anticipated return with the release of three new videos in mid-November 2024.These videos represent the culmination of several months of behind-the-scenes work.
文摘This study investigates how artificial intelligence(AI)algorithms enable mainstream media to achieve precise emotional matching and improve communication efficiency through reconstructed communication logic.As digital intelligence technology rapidly evolves,mainstream media organizations are increasingly leveraging AI-driven empathy algorithms to enhance audience engagement and optimize content delivery.This research employs a mixed-methods approach,combining quantitative analysis of algorithmic performance metrics with qualitative examination of media communication patterns.Through systematic review of 150 academic papers and analysis of data from 12 major media platforms,this study reveals that algorithmic empathy systems can improve emotional resonance by 34.7%and increase audience engagement by 28.3%compared to traditional communication methods.The findings demonstrate that AI algorithms reconstruct media communication logic through three primary pathways:emotional pattern recognition,personalized content curation,and real-time sentiment adaptation.However,the study also identifies significant challenges including algorithmic bias,emotional authenticity concerns,and ethical implications of automated empathy.The research contributes to understanding how mainstream media can leverage AI technology to build high-quality empathetic communication while maintaining journalistic integrity and social responsibility.
文摘Under the blazing sun of Kamuli District in Uganda’s Eastern Region,a group of young farmers gathered around a patch of freshly turned red soil.Cameras rolled as Uganda’s First Deputy Prime Minister Rebecca Kadaga joined local youth to plant the first chilli seedlings on a 10-acre(4.05 hectares)demonstration farm.The live broadcast,aired on the national agricultural television programme Kungula,marked not only the launch of a digital farming project led by AMPA Media,but also symbolised Africa’s growing ambition to unite tradition with technology.
基金funded by the Ministry of Science and Technology of the People's Republic of China(2021ZD0201804,GW).
文摘Background Social media listening is a new approach for gathering insights from social media platforms about users experiences.This approach has not been applied to analyse discussions about Alzheimer's disease(AD)in China.Aims We aimed to leverage multisource Chinese data to gain deeper insights into the current state of the daily management of Chinese patients with AD and the burdens faced by their caregivers.Methods We searched ninemainstreampublic onlineplatforms in China fromSeptember2010 to March 2024.Natural language processing tools were used to identify patients and caregivers,and categorise patients by disease stage forfurther analysis.We analysed the current state of patient daily management,including diagnosis and treatment,choice oftreatment scenarios,patient safetyand caregiverconcerns.Results Atotal of 1211patientswithAD(66% female,82% aged 60-90)and 756caregiversfor patients with AD were identified from 107556 online sources.Most patients were derived from online consultation platforms(43%),followed by bulletin board system platforms(24%).Among the patients categorised into specific disease stages(n=382),42% were in the moderate stage.The most frequent diagnostic tools included medical history(97%)and symptoms(84%).Treatment options for patients with AD primarily included cholinesterase inhibitors,N-methyl-D-aspartate receptor antagonists and antipsychotics.Both quantitative and qualitative analysis of patients whoexperiencedwandering(n=92)indicated a higher incidence of wandering during the moderate stage of the disease.Most caregivers were family members,with their primary concerns focusing on disease management and treatment(90%),followed by daily life care(37%)and psychosocial support(25%).Conclusions Online platform data provide a broad spectrum of real-world insights into individuals affected byAD in China.This study enhances our understanding of the experiences of patients with AD and their caregivers,providing guidance for developing personalised interventions,providing advicefor caregivers and improving care for patients with AD.
基金supported by the research project of the China National Petroleum Corporation under grant numbers 2021ZG02 and 2023ZZ05。
文摘In the fields of reservoir fracture prediction and fracturing monitoring,shear-wave splitting analysis has exhibited notable technical advantages.Compared with compressional waves,it offers a more robust capability for predicting the orientation and extent of fracture development systems or formation heterogeneity.In regions characterized by vertically or unidirectionally fractured thin interbedded formations,conventional shear-wave splitting analysis and correction methods based on the HTI(Horizontal Transverse Isotropy)medium model are inadequate.These methods fail to account for the increased propagation time difference between fast and slow shear-waves as they accumulate through layered media.This limitation arises because the subsurface medium in such scenarios is more accurately approximated by an orthotropic medium model.To address this challenge,shear-wave splitting analysis and correction methods based on orthotropic media have been developed and implemented.The method first determines the fracture orientation using established techniques,then separates the fast and slow shear-waves through wavefield rotation,and finally employs a matching algorithm to compute the instantaneous time difference between the fast and slow shear-waves.By introducing time-varying delay correction,this approach enables the accurate estimation of delay values that better reflect the actual properties of the subsurface medium.As a result,it enhances the precision of fracture detection in targeted formation intervals.The method has demonstrated excellent performance in both synthetic model and real-data applications.
