Potential use of large language models for mitigating students’problematic social media use:ChatGPT as an example

The problematic use of social media has numerous negative impacts on individuals'daily lives,interpersonal relationships,physical and mental health,and more.Currently,there are few methods and tools to alleviate problematic social media,and their potential is yet to be fully realized.Emerging large language models(LLMs)are becoming increasingly popular for providing information and assistance to people and are being applied in many aspects of life.In mitigating problematic social media use,LLMs such as ChatGPT can play a positive role by serving as conversational partners and outlets for users,providing personalized information and resources,monitoring and intervening in problematic social media use,and more.In this process,we should recognize both the enormous potential and endless possibilities of LLMs such as ChatGPT,leveraging their advantages to better address problematic social media use,while also acknowledging the limitations and potential pitfalls of ChatGPT technology,such as errors,limitations in issue resolution,privacy and security concerns,and potential overreliance.When we leverage the advantages of LLMs to address issues in social media usage,we must adopt a cautious and ethical approach,being vigilant of the potential adverse effects that LLMs may have in addressing problematic social media use to better harness technology to serve individuals and society.

Associations between Social Media Use and Sleep Quality in China:Exploring the Mediating Role of Social Media Addiction

Sleep quality is closely linked to people’s health,and during the COVID-19 pandemic,the sleep patterns of residents in China were notably poor.The lockdown in China led to an increase in social media use,prompting questions about its impact on sleep.Therefore,this study investigates the association between social media use and sleep quality among Chinese residents during the COVID-19 outbreak,highlighting the potential mediating role of social media addiction.Data were collected via questionnaires through a cross-sectional survey with 779 valid responses.Variance analysis was used to test for differences in social media use among different demographic variables.Bivariate correlation analysis was employed to explore the relationships between variables,while regression analysis investigated the correlations between various media factors and sleep quality.Additionally,Bootstrap sampling was utilized to analyze the potential mediating influence of social media addiction in the relationship between social media use and sleep.The study's findings reveal a significant correlation between social media use,particularly before bedtime,and sleep quality(p<0.01),with pre-sleep activity notably linked to poorer overall sleep scores(β=0.141,p=0.004).Although the daily use of social media did not directly impact most individuals’sleep quality,specific platforms like news apps,short video apps,dating apps,and content community platforms were associated with higher levels of social media addiction,subsequently negatively affecting sleep quality.Specifically,the use of news apps(B=0.068,95%CI[0.000,0.019]),short video apps(B=0.112,95%CI[0.001,0.031]),dating apps(B=0.147,95%CI[0.000,0.028]),and content community platforms(B=0.106,95%CI[0.001,0.028])was found to increase the risk of social media addiction,subsequently leading to adverse effects on sleep quality.The study underscores a notable link between social media use and sleep quality,suggesting that mindful social media habits,particularly before bedtime,and reducing addiction-associated apps could enhance sleep quality.

Superpixel-Based Complex Field Modulation Using a Digital Micromirror Device for Focusing Light through Scattering Media

We present a digital micromirror device（DMD） based superpixel method for focusing light through scattering media by modulating the complex field of incident light. Firstly, we numerically and experimentally investigate focusing light through a scattering sample using the superpixel methods with different target complex fields.Then, single-point and multiple-point focusing experiments are performed using this superpixel-based complex modulation method. In our experiment, up to 71.5% relative enhancement is realized. The use of the DMDbased superpixel method for the control of the complex field of incident light opens an avenue to improve the enhancement of focusing light through scattering media.

A DISCUSSION ABOUT THE EFFECTIVENESS ON USING A VARIATE-TRANSFORMATION TO FIND OUT SOLUTIONS OF MODE Ⅲ CRACK PROBLEMS IN POWER HARDENING MEDIA

By the use of the transformations of physical plane to strain plane and physical planeto stress plane,an analytic expression of the asymptotic solution near a modeⅢcrack tipin a power hardening medium can be obtained.In this paper the effectiveness of thetransformation is discussed.Analytical results show that the transformation is effectiveexcept for a special limit case of power hardening media—the ideal plastic materials.

Does New Media Substitute Old Media? A Cohort Analysis of Media Use in China

This study examines generational differences in media use based on pooled-data analysis of CGSS(Chinese General Social Survey)2010-2015.In order to show a full picture of the substitutability between new and old media,the study brings age heterogeneity of respondents and time effect into consideration.This study distinguishes four generations based on the year of birth,with the“newspaper generation”(people who born before 1969),“broadcast generation”(1970-1979),“TV generation”(1980-1989),and“Internet generation”(born after 1990)and aims to explore whether generations differ in their frequency of media use.The research analyses five-year pooled data CGSS 2010-2015(CGSS 2014 data is missing)to examine the influence of Internet on old media among different birth cohorts and how this effect changes over time.New media refers to the Internet;old media includes newspaper,broadcast,and television.The results are summarized as follows:First,for the“newspaper generation”,“broadcast generation”,and“TV generation”,Internet heavy users are usually more willing to use newspaper and broadcast as well.Internet heavy users are information seekers.They have a strong need of information and usually are involved in multi-tasking media activities.Nevertheless,only the Internet heavy users in“TV generation”will regard TV as another channel to get more information,which indicates that generations may adopt specific patterns of media use when they are young and remain faithful to those throughout their lifespans.“TV generation”have a stronger attachment to television than their previous and later generation.Second,in terms of the time effect,the empirical data proved that the broadcast shows a stronger vitality in digital age compared with newspaper and television.The frequency of broadcast use does not drop significantly until 2015.However,the frequency of newspaper and television use has shown a significant downward trend since 2011.Third,for the“Internet generation”,the use of the Internet has no effect on the use of other media.Even Internet heavy user,the one who has strong need of information,would not choose other media to search more information.This suggests that these digital natives would rather confine themselves to the Internet cocoon than collect new information through old channels.This study provides new insight to understand the current media ecology.The relationship between the new and the old media is a changeable and dynamic process and cannot be simply understood as“more-more”or“more-less”relationship.

Overall Media Use and ADHD-Related Behaviors Among Children in China: A Meta-Analysis

There are several theoretical reasons to believe that overall media use might be related to attention deficit hyperactivity disorder(ADHD)or ADHD-related behaviors(i.e.,attention problems,hyperactivity,and impulsivity).Although studies on media-ADHD relationship have accumulated,they have yielded inconsistent results,especially those from different countries.Therefore,it is still undisclosed whether children’s overall media use and ADHD-related behaviors are related to region and culture.A meta-analysis has been performed on three empirical studies investigating the relationship between overall media use and ADHD-related behaviors in children and adolescents from China.The results indicated significant relationship between overall media use and ADHD-related behaviors,OR=2.597.

Application of Social Media Tool in Disaster Management in Disaster-Prone Communities in Freetown, Sierra Leone

This study used both the “digital divide” and “attribution theory” to analyze the propensity of social media use by disaster-prone communities. The study focused on the variables that may affect how social media is used for disaster management. Structural equation modeling (SEM) was utilized in the study to analyze the data and test the hypotheses after using a survey questionnaire to collect the data. The study’s findings show that: 1) communities that are vulnerable to disasters are less likely to use social media for disaster management, 2) personal effort and intention to use social media for disaster management are positively correlated, and 3) task complexity and intention to use social media for disaster management are negatively correlated. The study added to the body of knowledge regarding the role social media plays in disaster management.

Use of sport-related concussion information sources among parents of United States middle school children

Objective:Parents may use various information sources to obtain information about sport-related concussions(SRC).This study examined SRCrelated information sources used by parents of United States middle school children(age:10-15 years).Methods:A panel of 1083 randomly selected U.S.residents,aged≥18 years and identifying as parents of middle school children,completed an online questionnaire capturing parental and child characteristics,and utilization and perceived trustworthiness of various sources of SRC-related information.Multivariable logistic regression models identified factors associated with utilizing each source.Adjusted odds ratios(OR)with 95%confidence intervals(95%CIs)excluding 1.00 were deemed significant.Results:Doctors/healthcare providers(49.9%)and other healthcare-related resources(e.g.,Centers for Disease Control and Prevention,WebMD)(37.8%)were common SRC-related information sources;64.0%of parents utilized≥1 of these sources.Both sources were considered“very”or“extremely”trustworthy for SRC-related information among parents using these sources(doctors/healthcare providers:89.8%;other healthcare-related resources:70.9%).A 10-year increase in parental age was associated with higher odds of utilizing doctors/healthcare providers(adjusted odd ratio(OR_(adjusted))=1.09,95%CI:1.02-1.16)and other healthcare-related resources(OR_(adjusted)=1.11,95%CI:1.03-1.19).The odds of utilizing doctors/healthcare providers(OR_(adjusted)=0.58,95%CI:0.40-0.84)and other healthcare-related resources(OR_(adjusted)=0.64,95%CI:0.44-0.93)were lower among parents whose middle school children had concussion histories versus the parents of children who did not have concussion histories.Conclusion:One-third of parents did not report using doctors/healthcare providers or other healthcare-related resources for SRC-related information.Factors associated with underutilization of these sources may be targets for future intervention.Continuing education for healthcare providers and educational opportunities for parents should highlight accurate and up-to-date SRC-related information.

Understanding Antecedents of Civic Engagement in the Age of Social Media:From the Perspective of Efficacy Beliefs

This study examines three efficacy beliefs-political self-efficacy,political collective efficacy,and knowledge sharing efficacy-as antecedents of social media use and civic engagement.Employing more than one thousand samples in Singapore,we empirically test(a)a conceptual framework that can provide an understanding of the relationship between the three types of efficacy and civic engagement and(b)the underlying mechanism through which the three types of efficacy beliefs affect civic engagement via social media.The findings suggest that knowledge sharing efficacy was found to play an important role in mediating the relationships between social media use and political self-efficacy,political collective efficacy,respectively,which,in turn,influences the social media use.

Factors of heavy social media use among 13-year-old adolescents on weekdays and weekends

Background Few studies have investigated which factors were related to adolescents'social media use.This study aimed to evaluate which factors were associated with heavy social media use on weekdays and weekends among 13-year-old adolescents.Methods We analyzed data from 3727 children from the Generation R Study,a population-based cohort study in the Neth-erlands.Associations of demographic factors(child age,sex,ethnic background,and family situation),socioeconomic posi-tion(parental educational level,parental employment status,and net household income),screen-based behaviors(computer playing and TV viewing),and the home environment(communication,supervision,and restriction)with adolescents'heavy social media use(≥2 hours/day)were assessed separately on weekdays and weekends.Multivariate logistic regression analysis was applied.Results The prevalence of heavy social media use was 37.7%on a weekday and 59.6%on a weekend day.Being a girl,liv-ing in a one-parent family,and more time spent playing on the computer were associated with heavy social media use on weekdays and weekends(all P<0.05).Low socioeconomic position adolescents(low parental educational level and low household income)were more likely to show heavy social media use only on weekends(all P<0.05).Children whose social media use was restricted by parents on weekdays or children whose social media use was supervised by parents on weekends had lower odds of heavy social media use(all P<0.05).Conclusions Being a girl,living in a one-parent family,or having a longer computer playing time were associated with heavy social media use on weekdays and weekends.More studies are needed to understand the factors associated with heavy social media use and the impact of heavy social media use on child health.

Deep Learning Applied to Computational Mechanics:A Comprehensive Review,State of the Art,and the Classics

Three recent breakthroughs due to AI in arts and science serve as motivation:An award winning digital image,protein folding,fast matrix multiplication.Many recent developments in artificial neural networks,particularly deep learning(DL),applied and relevant to computational mechanics(solid,fluids,finite-element technology)are reviewed in detail.Both hybrid and pure machine learning(ML)methods are discussed.Hybrid methods combine traditional PDE discretizations with ML methods either(1)to help model complex nonlinear constitutive relations,(2)to nonlinearly reduce the model order for efficient simulation(turbulence),or(3)to accelerate the simulation by predicting certain components in the traditional integration methods.Here,methods(1)and(2)relied on Long-Short-Term Memory(LSTM)architecture,with method(3)relying on convolutional neural networks.Pure ML methods to solve(nonlinear)PDEs are represented by Physics-Informed Neural network(PINN)methods,which could be combined with attention mechanism to address discontinuous solutions.Both LSTM and attention architectures,together with modern and generalized classic optimizers to include stochasticity for DL networks,are extensively reviewed.Kernel machines,including Gaussian processes,are provided to sufficient depth for more advanced works such as shallow networks with infinite width.Not only addressing experts,readers are assumed familiar with computational mechanics,but not with DL,whose concepts and applications are built up from the basics,aiming at bringing first-time learners quickly to the forefront of research.History and limitations of AI are recounted and discussed,with particular attention at pointing out misstatements or misconceptions of the classics,even in well-known references.Positioning and pointing control of a large-deformable beam is given as an example.

Evolution of gastrointestinal double contrast radiography in China:researches,application and popularization

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Examining the Factors that Influence the Use of Social Media for Disaster Management by Underserved Communities

This study examined the propensity of social media use by underserved communities by drawing on the literature on the digital divide and attribution theory.Specifically,this research explored the factors that can influence the use of social media for disaster management.The study used survey methodology to collect data and partial least squares structural equation modeling(PLSSEM)to analyze the data and test the hypotheses.The results of the study indicate:(1)that the propensity of social media use for disaster management is low for underserved communities;(2)a positive relationship between an individual’s effort and the intention to use social media for disaster management;and(3)a negative relationship between task difficulty and the intention to use social media for disaster management.The study expanded the literature on the use of social media in disaster management.The article also provides both theoretical and practical implications.

UPGRADING COMMUNICATIVE SKILLS THROUGH THE USE OF THE MEDIA AS A REGULAR UNDERGRADUATE.COURSE

INTRODUCTIONNo TEFL teachers today have ever challenged the idea of utilizing radio,newspaperand other mass media in upgrading students’overall English skills.But the necessityand importance of making real earnest efforts in this direction have not yet been suf-flciently recognized,at least in China.

The Applicability of Renewable Raw Materials for the Professional Horticulture—Ecosystem Services,Profitability and Refinement

This preliminary study shows an innovative concept of searching for peat substitutes on basis of renewable raw materials considering the cultivation in extensive land use in Lower Saxony (Germany). Selecting suitable raw material plants against the background of ecological, social and economic issues followed by testing series including those materials should lead on to reliable results for a planned transition through a spatial analysis of potential areas for cultivation with a specific attention on wetlands. Thereby this short report illustrates the concept of the study as well as chosen interim results and it is to be understood as the first paper of a mini-series.

Real Estate Politik:Democracy and the Financialization of Social Networks

The power of social network platforms to amplify the scale,speed,and significance of everyday communication is increasingly weaponized against democracy.Analyses of social networks predominantly focus on design and its effects on politics.This article shifts the debate to their business model.Built as platform businesses,social networks are privately owned public spaces with structurally limited democratic affordances.Drawing from the history,theory,and practice of land use,I develop an analogy between the financialization of land by commercial real estate development and the financialization of attention by platform businesses.Historical policies,such as incentive zoning and exclusionary zoning,shed light on how platform businesses use systems of measurement and valuation to conflate users’roles,tokenize the incentives that drive behavior,and defer the ethical responsibilities businesses have to the public.While the real estate framing reveals social networks’structural flaws and colonial roots,lessons from urban planning,community land trusts,and Indigenous land stewardship can inform their regulation and reform.Building on the broader effort to embed ethics in the development of technology,I describe possibilities to steward social networks in the public interest.

Tweetluenza: Predicting Flu Trends from Twitter Data

Health authorities worldwide strive to detect Influenza prevalence as early as possible in order to prepare for it and minimize its impacts. To this end, we address the Influenza prevalence surveillance and prediction problem. In this paper, we develop a new Influenza prevalence prediction model, called Tweetluenza, to predict the spread of the Influenza in real time using cross-lingual data harvested from Twitter data streams with emphases on the United Arab Emirates(UAE). Based on the features of tweets, Tweetluenza filters the Influenza tweets and classifies them into two classes, reporting and non-reporting. To monitor the growth of Influenza, the reporting tweets were employed. Furthermore, a linear regression model leverages the reporting tweets to predict the Influenza-related hospital visits in the future. We evaluated Tweetluenza empirically to study its feasibility and compared the results with the actual hospital visits recorded by the UAE Ministry of Health. The results of our experiments demonstrate the practicality of Tweetluenza, which was verified by the high correlation between the Influenza-related Twitter data and hospital visits due to Influenza. Furthermore, the evaluation of the analysis and prediction of Influenza shows that combining English and Arabic tweets improves the correlation results.