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To investigate the geometric morphological differences of the lacrimal punctum by analyzing its shape in relation to age and sex in a normal population. 960 high-magnification slit-lamp images were obtained from 320 puncta of normal asymptomatic Indian individuals across eight decades of life. Using advanced geometric morphometric techniques, including Elliptic Fourier Analysis and Principal Component Analysis, the intricate details of the lacrimal punctum's shape in a diverse population sample were categorized by age and sex. High-resolution images of the lacrimal punctum underwent standardization for scale and orientation, followed by precise landmark identification and coordinate data extraction. The geometric morphometry of the lacrimal punctum shows significant changes as one ages. However, the gender differences, in isolation, without consideration of age, remain subtle and are not pronounced. Interestingly, detailed Principal Component scores analysis revealed potential sex- and age-related variations specifically for the left and right lower puncta, which warrant further investigation. These changes could reflect unique aging changes in the proximal lacrimal drainage system. The study is a starting point for geometric morphometric analysis of the lacrimal punctum and provides valuable insights into the punctal changes in size, orientation, and overall morphology across different age groups and between sexes. These findings highlight the significance of considering individual age-wise anatomical variations to better understand the lacrimal punctum. [ABSTRACT FROM AUTHOR]

Purpose: The paper aims to explore the intergenerational maps project that set out to map the Brimbank and Moonee Valley residents' awareness of their favourite aspects of their local community. In reflecting on the way this project enabled local knowledge exchanges between different age groups, the paper examines the way intergenerational interactions become pedagogical and make public and public pedagogy visible. Design/methodology/approach: This research paper employs the theoretical and methodological framework of performance (Charman and Dixon, 2021) to read the author's experience with the intergenerational maps project. Insights gained from performance framework are shared to illuminate the complexity of public pedagogy and its entanglement with place, public and knowledge. Findings: The critical reflection on the author's encounter with a pedagogical event points to the importance of using a new theorisation of public pedagogy (Charman and Dixon, 2021) as a useful generative method to guide the reading, learning and research within the fields of public pedagogy and intergenerational relations. Practical implications: The practical implications of this paper centres on its deployment of a new theorisation of public pedagogy as a useful framework for studying intergenerational interactions. This places these intergenerational interactional dynamics in the field of public pedagogy and can be practically applied to further develop desirable public pedagogical practices within the arena of public pedagogy. Originality/value: The paper offers a subjective interpretation of the author's experience with an intergenerational interaction project and presents an application of a theoretical framework to read events as pedagogical performances that brings insights into the pedagogical potential of these public performances.

Web development is a domain with rapid growth along with speed evolution in recent years, driven by the ever-expanding digital landscape. In today's age, there are web applications for almost all purposes, from having education and knowledge to booking flight tickets, web technologies have been part of all markets now. Websites, to talk in terms of a consumer, make many things easier and faster with lower efforts. We use them daily for various purposes. Irrespective of our differences, age groups, genders, interests, and goals, websites have something to offer for all categories. This made web technologies favorable, adaptable, and still evolving. It has evolved continuously and taken over many other domains defining its position as a key aspect of digital platforms. Web technology has helped enhance features available digitally as well as has led to being the source of various advanced web-based applications. This survey paper goes over the evolution of web development over the years and discusses its life cycle. It aims to analyze different domains of web development and goes over the differences in some of the most widely used languages and frameworks in each giving a slight idea of them with the help of comparison tables and graphs. Then it focuses on the main issues faced in respective domains considering the technological challenges and available options for them. Then the issues of merging web technologies with other technologies are discussed too. The paper’s main initiative is to identify and categorize key challenges of their vivid domains. [ABSTRACT FROM AUTHOR]

Massive Open Online Courses (MOOCs) can be considered an important tool for professionals to reskill and upskill as well as a cost-efficient way to stay relevant. However, evidence-based research is still needed to identify why specific categories of people, especially professionals, take paid MOOCs. The paper aims to analyze the factors that influence IT working Professionals to adopt paid MOOCs using the UTAUT 2 model. Based on a survey conducted on 250 respondents, the study uses multiple regression to understand the significance of factors affecting the intention to adopt paid MOOCs. A multigroup analysis was also done to understand the differences among different age groups and genders. The results establish that social influence, facilitating conditions, brand credibility and price value are significant in the adoption of MOOCs. Performance expectancy, effort expectancy, and curiosity were found to be insignificant. Based on the research findings, the implication of the study and future scope for research have been suggested.

This paper shares the results of a meta-analysis on the parental-relational component of parental-involvement and its association with the academic and behavioral outcomes of urban students. This meta-analysis includes 76 quantitative studies. The results indicated that statistically significant effects emerged across students of different backgrounds, including differences by age groups, race, gender, and nationality. The results were also substantial in the highest quality studies. The significance of these results is discussed.

Vergence‐Accommodation Conflicts (VAC) occur in neareye displays when the binocular disparity of the 3D rendered content (vergence) does not match the display focal distance (accommodation). VAC has been shown to reduce perceptual image quality, cognitive performance, and oculomotor coordination. In this study, we aimed to investigate the impact of VAC on visual performance in augmented reality (AR). Specifically, we quantified the impact of AR VAC on the 'Time to Focus' (TTF); when the user switches focus between real world content and worldlocked AR rendered content. Our results show that TTF increases exponentially with VAC. The increase is more pronounced at closer vergence distances in displays with focal distance of 1 D or longer. Finally, we showed that VAC may have a differential effect across age groups; specifically, older users may be affected more in closer focal and longer vergence distances 186‐189. [ABSTRACT FROM AUTHOR]

This paper presents an innovative narrative data analysis approach, used in a narrative research project exploring student values. The work of three different authors was drawn upon to create a novel, rigorous and synergistic analysis tool. A novel approach to data analysis, using the stories told by one Generation Z (Gen Z) student and the personal values elicited, which are drawn from Schwartz's theory of universals in basic human values is presented. This leads to a restorying of the data, from which the reader finds meaning. The participant was interviewed at the beginning of their first year as undergraduate and is presented as an example from the larger study of seven Gen Z students. How this approach is effective is examined, demonstrating that combining theory and the narrative analysis approach enabled the values of self-direction, security, benevolence and power to be exposed within the resulting restorying. This is a new and innovative approach to narrative analysis that can be applied in a wide range of contexts internationally and utilised in future studies.

Purpose: The purpose of this paper is to estimate the effect the five different generations and the key financial inclusion indicators of gender, education and location (rural–urban) in exacerbating disparities in financial inclusion in Kenya. This paper considers whether the five generational cohort groups in Kenya differ on the financial inclusion determinants and behaviour as predicted by common generational stereotypes. Design/methodology/approach: The authors applied a multinomial logistic regression approach to nationally representative household survey data from Kenya to estimate the effect that key financial inclusion indicators have on belonging to one of the five generations: Z, Y, X, baby boomers and traditionalists. Findings: The authors found significant links between all tested variables and financial inclusion. The authors found an access gap between Generations X and Y, with the latter being more prone to access and use financial services and products. These differences are compounded by gender and rurality. People in rural locations and women generally were found to have less access to financial services and products, thus causing significant exclusion of a large proportion of the population. Practical implications: The research has important implications for governments, financial institutions and educational providers, notably on targeted policies and programmes that strategically aim to eliminate disparities and promote greater financial inclusion, denoting the value of such variables as generational differences and gender inclusivity. Originality/value: This paper deepens the understanding of differences that can divide generations on financial inclusion. [ABSTRACT FROM AUTHOR]

Indoor air quality (IAQ) has attracted a lot of attention due to its complexity and direct effect on human health. Indoor settings in libraries entail various volatile organic compounds (VOCs) linked to the aging and degradation of print material. The effect of the storage environment on paper life expectancy was investigated by targeting the VOC emissions of old and new books using headspace solid phase micro extraction-gas chromatography/mass spectrometry (HS-SPME-GC/MS) analysis. "Sniffing" of book degradation markers showed both ubiquitously and infrequently occurring VOCs. Old book "degradomics" revealed mostly alcohols (57%) and ethers (12%), whereas new books resulted mainly to ketones (40%) and aldehydes (21%). Chemometric processing of the results with principal component analysis (PCA) corroborated our initial observations and was able to discriminate the books by age into three groups: very old books (from the 1600 s to mid-1700), old books (from the 1800s to the early 1900s), and modern books (from the mid-twentieth century onwards) based on their gaseous markers. The measured mean concentrations of selected VOCs (acetic acid, furfural, benzene, and toluene) were below the respective guidelines set for similar places (i.e. museums). The applied non-invasive, green analytical methodology (HS-SPME-GC/MS) can assist librarians, stakeholders, and researchers to evaluate the IAQ, as well as the degree of degradation, and take the appropriate measures for book restoration and monitoring protocols. [ABSTRACT FROM AUTHOR]

This paper examines Egypt's labor market transition dynamics post-Arab Spring based on the two most recent rounds of the Egypt Labor Market Panel Survey conducted in 2012 and 2018. In addition to providing disaggregated level analysis by examining labor market transitions by gender, education, and age groups, our paper provides a cross-country perspective by comparing Egypt's labor market transitions with Jordan's. Regression analyses focusing on transitions to and from the dominant absorbing labor market states in Egypt – public sector employment for both genders, non-participation for women, and the informal sector for men – show that having a post-secondary education is associated with a lower probability of remaining out of the labor force (OLF) for women who were already OLF at baseline, while being married at baseline is found to be a significant predictor for women to stay out of the labor force if they were already so. As for men, the better educated are found to be more likely to secure formal employment, be it in the public or in the private sector, and also more likely to keep their public formal jobs once they secure them. [ABSTRACT FROM AUTHOR]

The market power of monopolies can severely restrict citizens' freedom of choice. In the case of utilities, often portrayed as natural monopolies, such power may result in high prices and unreliable or absent services, especially in marginalized communities such as low-income neighborhoods or remote rural villages. While government regulation has been the traditional remedy to curb natural monopolies' power, in this paper, we address a different solution: monopoly bypassing through collective action. We present two types of monopoly bypassing—partial and complete—through the lens of civic wealth creation (CWC): the generation of social, economic, and communal endowments that benefit communities. Through our analysis of three water and sanitation utility services cases, we demonstrate how CWC is used to catalyze the collective action of engaged citizens to effectively bypass monopoly power. The cases highlight the three stakeholder categories involved in CWC initiatives—communities, enterprises, and regimes of support—and illustrate how they act collectively to provide credible market-based solutions. [ABSTRACT FROM AUTHOR]

The global impact of drug shortages on healthcare systems is a concerning issue that needs urgent attention. These shortages not only jeopardize patient care, public health, and healthcare delivery but also pose distinct challenges for pediatric populations due to their specific medication requirements and vulnerabilities. It is imperative to address this issue to safeguard the health and wellbeing of this specific age group. This review Gaimed to conduct a systematic analysis of strategies for addressing drug shortages in pediatric care from 2014 to 2024. The search included five databases: PubMed, Reaxys, Embase, Scopus, and Science Direct, using the keywords "drug shortage" and "pediatric". The final protocol was developed following the guidelines outlined in the " The PRISMA 2020 statement: An updated guideline for reporting systematic reviews". In total, 234 publications were identified. After screening the search results and applying inclusion and exclusion measures, a total of 27 original research papers were included. The primary finding indicates that a comprehensive approach rooted in risk management can significantly mitigate drug shortages in pediatric settings. This approach should address underlying causes such as manufacturer and delivery challenges and focus on prevention through enhanced forecasting and vigilant shortage monitoring. The most prevalent response involved seeking alternative treatment options. It is imperative to implement institutional and national guidelines, foster communication, and provider education, and minimize waste to effectively mitigate drug shortages in pediatric settings. [ABSTRACT FROM AUTHOR]

The workforce in almost all organizations is made up of several generations of employees who have different experiences and values. Generational diversity can bring heterogeneity to the workplace, but also lead to conflicts and a number of workplace complications. All this happens when employees belonging to different generations have to work together. That is why quality management of different generations is important. The fact is that stereotypes and beliefs are present and they lead to side effects not only on evaluators and decision makers of organizations, but also on employees. Based on the research done for the needs of this paper, we created models for the abilities of employees classified according to the age group they belong to and their tendency to learn and develop in organizations. From the created models, it can be determined that older employees are perceived as relatively inflexible and employees who resist changes and are less prepared for training. In contrast, their younger colleagues are perceived contrary to what is observed as a characteristic of older employees. This paper highlights the importance of investing in continuous learning and development for employees as modern models for managing different generations of employees. The research done in this paper aims to prove the connection between management models with different generations of employees in organizations in the Republic of North Macedonia and the level of productivity. [ABSTRACT FROM AUTHOR]

This document is an editorial titled "Youth vulnerabilities in European cities" published in the journal Frontiers in Sustainable Cities. The editorial discusses the multifaceted landscape of youth vulnerabilities in European cities and the correlation between social and spatial inequalities. The editorial highlights the importance of examining local circumstances, policy responses, and youth participation in addressing these vulnerabilities. It also mentions specific papers included in the research topic that delve into these issues. The document emphasizes the need for comprehensive approaches to tackle youth vulnerabilities and create more sustainable and equitable cities. [Extracted from the article]

The COVID-19 pandemic presented the unique challenge of having to deliver novel vaccines during a public health crisis. For pediatric patients, it was further complicated by the delayed timeline for authorizing the vaccine and the differences in dosing/products depending on the patient's age. This paper investigates the relationship between the spatial accessibility and uptake of the COVID-19 vaccine in King County, WA, USA. Public data for COVID-19 vaccine sites were used to calculate spatial accessibility using an enhanced two-step floating catchment area (E2SFCA) technique. Spatial regression analyses were performed to look at the relationship between spatial accessibility and ZIP-code-level vaccination rates. The relationships of these data with other socioeconomic and demographic variables were calculated as well. Higher rates of vaccine accessibility and vaccine coverage were found in adolescent (12- to 17-year-old) individuals relative to school-age (5- to 11-year-old) individuals. Vaccine accessibility was positively associated with coverage in both age groups in the univariable analysis. This relationship was affected by neighborhood educational attainment. This paper demonstrates how measures such as E2SFCA can be used to calculate the accessibility of the COVID-19 vaccine in a region and provides insight into some of the ecological factors that affect COVID-19 vaccination rates. [ABSTRACT FROM AUTHOR]

The increasing integration of Artificial Intelligence (AI) into areas like financial planning has spurred interest in how various demographic groups, notably older adults, perceive and adopt this technology. This paper aims to identify personas and explore how factors like age, gender, and knowledge impact AI acceptance. The data shows varying levels of willingness to adopt AI in finance across demographics. Younger, more educated individuals demonstrate greater trust and usage of AI-enabled financial tools, raising concerns about inclusivity and potential barriers for older or less educated individuals. The paper will delve into these disparities, exploring the underlying reasons for resistance, such as perceived risks or lack of education about AI. To ensure equitable distribution of AI's benefits, we recommend enhancing AI literacy and designing more inclusive AI, as this approach paves the way for a society in which AI empowers all ages with its potential. [ABSTRACT FROM AUTHOR]

This study explores how differences between generations X (people born from 1965 to 1980), Y (1980s and 1990s), and Z (mid-90s to early 2000s) have an impact on healthcare interpreters' job satisfaction. Based on self-determination theory (SDT), the paper argues that the degree to which a work environment nurtures interpreters' feelings of competence, connectedness, and autonomy can determine how motivated they feel, resulting in different degrees of job satisfaction. Stressing the organismic component in SDT, the paper further hypothesizes that the motivation in healthcare interpreting is mediated by interpreters' values and that these vary across generations. An exploratory and qualitative study based on semi-structured interviews is conducted with 9 interpreters (3 from each generational group) who are working or have worked for the same hospital group. The differences in motivational factors and satisfaction are explored and implications for the ability of healthcare interpreting to retain the different generations are discussed. [ABSTRACT FROM AUTHOR]

This paper argues that the generation of social intimacy is critical to enabling acts of environmental care. By interrogating the intimate socialities of a group of young people who grew up in a village community committed to carbon reduction, I untangle the influence of everyday intimacies on everyday (un)sustainabilities, particularly in relation to the popular but uncritical positioning of young people as 'sustainability saviours'. I problematise assumptions that young people's social intimacies are a straightforward enabler of lifestyle change aligned with sustainability by highlighting the fluidity of intimacies and associated senses of trust throughout young adulthood. I argue further that capitalising on this fluidity might in fact amplify bottom‐up environmental care if young people can move readily between networked spaces of trust and support. Drawing from scholarship on friendship, family and community intimacies and the substantial literature on households as crucibles for more sustainable living, I suggest there is considerable reconciliation work demanded at a personal level in order to live comfortably within the everyday intimacies of social life at the same time as committing to individual environmental action. These arguments advance debates around the optimal social drivers of more sustainable lifestyles, at the same time as sounding a cautionary note in relation to the too easy emplacement of responsibility for driving change at the feet of young people. This paper examines the intimate socialities of a group of young people who grew up in an English village community committed to carbon reduction, in order to untangle the influence of intimacies on everyday (un)sustainabilities, particularly in relation to the positioning of young people as drivers of more sustainable living. I argue there is much reconciliation work demanded at a personal level in order to live comfortably within the everyday intimacies of social life at the same time as committing to reductions in individual environmental footprints. [ABSTRACT FROM AUTHOR]

Attracting and retaining the attention of users, or motivating them to use the particular product being the main task of designers in graphic design for all materials, from printed to digital media. It is crucial to select colors that are more appealing to the target audience. The aim of this paper is to explore the differences in color preferences depending on age groups in a nationally representative sample of the Republic of Croatia consisting of 1,000 research participants. For this purpose, a questionnaire was created to collect information on the color preferences of participants, and as a result of this research, it was determined that there are statistically significant differences in the preferences for certain colors depending on the age groups of the participants. It has also been shown that there are both increasing and stable or decreasing trends in color preferences depending on age groups. [ABSTRACT FROM AUTHOR]

Background: Randomised, cluster-based study designs in schools are commonly used to evaluate children's physical activity interventions. Sample size estimation relies on accurate estimation of the intra-cluster correlation coefficient (ICC), but published estimates, especially using accelerometry-measured physical activity, are few and vary depending on physical activity outcome and participant age. Less commonly-used cluster-based designs, such as stepped wedge designs, also need to account for correlations over time, e.g. cluster autocorrelation (CAC) and individual autocorrelation (IAC), but no estimates are currently available. This paper estimates the school-level ICC, CAC and IAC for England children's accelerometer-measured physical activity outcomes by age group and gender, to inform the design of future school-based cluster trials. Methods: Data were pooled from seven large English datasets of accelerometer-measured physical activity data between 2002–18 (> 13,500 pupils, 540 primary and secondary schools). Linear mixed effect models estimated ICCs for weekday and whole week for minutes spent in moderate-to-vigorous physical activity (MVPA) and being sedentary for different age groups, stratified by gender. The CAC (1,252 schools) and IAC (34,923 pupils) were estimated by length of follow-up from pooled longitudinal data. Results: School-level ICCs for weekday MVPA were higher in primary schools (from 0.07 (95% CI: 0.05, 0.10) to 0.08 (95% CI: 0.06, 0.11)) compared to secondary (from 0.04 (95% CI: 0.03, 0.07) to (95% CI: 0.04, 0.10)). Girls' ICCs were similar for primary and secondary schools, but boys' were lower in secondary. For all ages, combined the CAC was 0.60 (95% CI: 0.44–0.72), and the IAC was 0.46 (95% CI: 0.42–0.49), irrespective of follow-up time. Estimates were higher for MVPA vs sedentary time, and for weekdays vs the whole week. Conclusions: Adequately powered studies are important to evidence effective physical activity strategies. Our estimates of the ICC, CAC and IAC may be used to plan future school-based physical activity evaluations and were fairly consistent across a range of ages and settings, suggesting that results may be applied to other high income countries with similar school physical activity provision. It is important to use estimates appropriate to the study design, and that match the intended study population as closely as possible. [ABSTRACT FROM AUTHOR]

This paper argues for generation to be incorporated into the analysis of social reproduction to open new ways of thinking about the significance of children's unpaid work in and for their families. This paper situates its argument in relation to social reproduction theory and the conceptualization of generation in childhood studies and development studies. It draws on a longitudinal study of girls growing up in contemporary Benin and Togo conducted by Plan Benin and Plan Togo. This paper shows how the work of social reproduction is distributed across the household with children, especially girls, playing a large part in these activities. Trading and farming are the main economic activities of women, and girls gradually extend their knowledge of how to farm and trade as they get older. This paper concludes that placing generation into the centre of social reproduction theory will not only make visible the work that children do in subsistence economies but is also important for answering the perennial question of social reproduction theory in capitalist economies: who pays for that 'strange commodity', 'living labour' to be reproduced. [ABSTRACT FROM AUTHOR]

Uncovering the world's ethnic inequalities is hampered by a lack of ethnicity-annotated datasets. Name-ethnicity classifiers (NECs) can help, as they are able to infer people's ethnicities from their names. However, since the latest generation of NECs rely on machine learning and artificial intelligence (AI), they may suffer from the same racist and sexist biases found in many AIs. Therefore, this paper offers an algorithmic fairness audit of three NECs. It finds that the UK-Census-trained EthnicityEstimator displays large accuracy biases with regards to ethnicity, but relatively less among gender and age groups. In contrast, the Twitter-trained NamePrism and the Wikipedia-trained Ethnicolr are more balanced among ethnicity, but less among gender and age. We relate these biases to global power structures manifested in naming conventions and NECs' input distribution of names. To improve on the uncovered biases, we program a novel NEC, N2E, using fairness-aware AI techniques. We make N2E freely available at www.name-to-ethnicity.com. [ABSTRACT FROM AUTHOR]

In this paper, we summarize the current knowledge on refractive surgery performed in the myopic pediatric population. We describe the main concerns about refractive surgery in myopic children and the indications for refractive surgery in this age group. We present a range of surgical procedures that are being used for the management of unilateral/bilateral myopia in children: corneal refractive surgery (PRK, LASEK, LASIK, FS-LASIK and SMILE) and intraocular refractive surgery (phakic intraocular lens implantation, refractive lens exchange or clear lens extraction), with both their advantages and drawbacks. We also describe the various complications and measures to prevent them. [ABSTRACT FROM AUTHOR]

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Using data from the Swedish National Diabetes Register, this study examines the gender disparity among patients with type 1 diabetes who have experienced a specific cardiovascular complication, while exploring the association between their weight variability, age group, and gender. Fourteen cardiovascular complications have been considered. This analysis is conducted using three-way correspondence analysis (CA), which allows for the partitioning and decomposition of Pearson's three-way chi-squared statistic. The dataset comprises information organized in a data cube, detailing how weight variability among these patients correlates with a cardiovascular complication, age group, and gender. The three-way CA method presented in this paper allows one to assess the statistical significance of the association between these variables and to visualize this association, highlighting the gender gap among these patients. From this analysis, we find that the association between weight variability, age group, and gender varies among different types of cardiovascular complications. [ABSTRACT FROM AUTHOR]

AbstractThis paper empirically studies the implications of attractive government jobs for labour market. Exploiting an age ceiling policy that sets the age limit for eligibility for public employment at age 30, the study finds that the likelihood of private sector employment is about five percentage points higher for ineligible than eligible at the cutoff age of 30, mainly driven by females, particularly after doubling the public service salaries. The increase in employment after expiring the eligibility for government jobs is explained by increasing labour force participation rather than declining unemployment. During the eligibility period, candidates repeatedly try for government jobs and delay the pursuit of other opportunities, incurring substantial monetary expenses, time costs, and opportunity costs of time. At the same time, there is some evidence that public sector exam preparation gives rise to brain gain. While several papers studied this phenomenon theoretically, this study contributes by providing empirical evidence. The data for this study was drawn from population censuses and labour force surveys for the period 1991–2017 and a primary survey conducted online for this study in Bangladesh, and labour force surveys of India for 2011–2012, 2017–2018, and 2019–2020. [ABSTRACT FROM AUTHOR]

To study stratification among scientists, we reconstruct the career-long trajectories of 8.2 million scientists worldwide using 12 bibliometric measures of productivity, geographical mobility, collaboration, and research impact. While most previous studies examined these variables in isolation, we study their relationships using Multiple Correspondence and Cluster Analysis. We group authors according to their bibliometric performance and academic age across six macro fields of science, and analyze co-authorship networks and detect collaboration communities of different sizes. We found a stratified structure in terms of academic age and bibliometric classes, with a small top class and large middle and bottom classes in all collaboration communities. Results are robust to community detection algorithms used and do not depend on authors' gender. These results imply that increased productivity, impact, and collaboration are driven by a relatively small group that accounts for a large share of academic outputs, i.e., the top class. Mobility indicators are the only exception with bottom classes contributing similar or larger shares. We also show that those at the top succeed by collaborating with various authors from other classes and age groups. Nevertheless, they are benefiting disproportionately from these collaborations which may have implications for persisting stratification in academia. [ABSTRACT FROM AUTHOR]

Background: Loneliness is a serious public health concern. Although previous interventions have had some success in mitigating loneliness, the field is in search of novel, more effective, and more scalable solutions. Here, we focus on "relational agents", a form of software agents that are increasingly powered by artificial intelligence and large language models (LLMs). We report on a systematic review and meta-analysis to investigate the impact of relational agents on loneliness across age groups. Methods: In this systematic review and meta-analysis, we searched 11 databases including Ovid MEDLINE and Embase from inception to Sep 16, 2022. We included randomised controlled trials and non-randomised studies of interventions published in English across all age groups. These loneliness interventions, typically attempt to improve social skills, social support, social interaction, and maladaptive cognitions. Peer-reviewed journal articles, books, book chapters, Master's and PhD theses, or conference papers were eligible for inclusion. Two reviewers independently screened studies, extracted data, and assessed risk of bias via the RoB 2 and ROBINS-I tools. We calculated pooled estimates of Hedge's g in a random-effects meta-analysis and conducted sensitivity and sub-group analyses. We evaluated publication bias via funnel plots, Egger's test, and a trim-and-fill algorithm. Findings: Our search identified 3,935 records of which 14 met eligibility criteria and were included in our meta-analysis. Included studies comprised 286 participants with individual study sample sizes ranging from 4 to 42 participants (x̄ = 20.43, s = 11.58, x̃ = 20). We used a Bonferroni correction with αBonferroni = 0.05 / 4 = 0.0125 and applied Knapp-Hartung adjustments. Relational agents reduced loneliness significantly at an adjusted αBonferroni (g = -0.552; 95% Knapp-Hartung CI, -0.877 to -0.226; P = 0.003), which corresponds to a moderate reduction in loneliness. Conclusion: Our results are currently the most comprehensive of their kind and provide promising evidence for the efficacy of relational agents. Relational agents are a promising technology that can alleviate loneliness in a scalable way and that can be a meaningful complement to other approaches. The advent of LLMs should boost their efficacy, and further research is needed to explore the optimal design and use of relational agents. Future research could also address shortcomings of current results, such as small sample sizes and high risk of bias. Particularly young audiences have been overlooked in past research. [ABSTRACT FROM AUTHOR]

The aim of this paper is to compare children's performance in a declarative object and subject relative comprehension task. Relativized Minimality proposes that object relative clauses are more difficult to process than subject relative clauses because they feature the intervention of the subject between the head and its trace. A comprehension test to 80 Spanish monolingual children aged from 4;6 to 7;10 was applied. Sentences with subject/object relative clauses when NPs had the same or different morphosyntactic features were tested. A significant statistical difference was found for the performance between object relatives and subject relatives, since the number of correct answers is higher in subject relatives (p < 0.001). In addition, a significant statistical difference was found in object relatives between clauses that had the same or different morphosyntactic features, since the former were more difficult to understand (p < 0.001). The fact that Object Relatives differed in number morphology facilitated the interpretation of the sentence. [ABSTRACT FROM AUTHOR]

Scholars in critical masculinities studies argue that we need men involved and engaged in gender equity movements for gender justice to be realised. Yet we need to know more about how different groups of men are understanding gender equity and what the barriers might be. Amidst significant media interest in elite private boys' schooling and its possible (re)production of sexist cultures, this paper explores how 13 men who attended such schools in Australia between the 1970s and the 2000s understand gender justice, revealing a diversity of positions and practices across the different generational groups. We argue the men's engagements with gender justice are shaped by a broad 'curriculum of privilege' including school and non-school based experiences that mediates their lives. Further research with both elite boys' schools and their alumni is needed to better understand generational change in their engagements with gender justice. [ABSTRACT FROM AUTHOR]

Purpose: Disinformation has become a latent risk for online audiences, specifically for minors who are commonly exposed to a wide variety of online content at a time they are developing cognitively and emotionally. This paper aims to offer insight on minors' perception and the tools used by this age group to verify the content to which they are exposed while online. Design/methodology/approach: Twelve focus groups were held in Spain between April and June 2021 with a total of 62 participants aged 11–17. Besides age, sex and socioeconomic group were variables taken into consideration to select the participants. A script covering the intended questions was used to structure the discussion. Findings: Result analysis reveals that minors are excessively confident in their ability to identify false news and feel the need to share content with their online community as a means of participation in discussions or trending topics. Although WhatsApp family groups are seen as a source of misleading news, the study reveals that the family and traditional media (mainly television) act as sources of verification of fake news for minors. In general, minors opt for actions that require less initiative to contrast the content they consume on the internet. Originality/value: This study produces new findings by further deepening the results of the first quantitative study on the relationship between minors and disinformation in Spain using qualitative method from conducting virtual focus groups. [ABSTRACT FROM AUTHOR]

Background: Infertility is an important late effect of childhood cancer treatment. Ovarian tissue cryopreservation (OTC) is established as a safe procedure to preserve gonadal tissue in (pre)pubertal girls with cancer at high risk for infertility. However, it is unclear whether elective laparoscopic OTC can also be performed safely in infants <1 year with cancer. This systematic review aims to evaluate the reported risks in infants undergoing elective laparoscopy regarding mortality, and/or critical events (including resuscitation, circulatory, respiratory, neurotoxic, other) during and shortly after surgery. Methods: This systematic review followed the Preferred reporting Items for Systematic Review and Meta-Analyses (PRISMA) reporting guideline. A systematic literature search in the databases Pubmed and EMbase was performed and updated on February 15th, 2023. Search terms included ‘infants’, ‘intubation’, ‘laparoscopy’, ‘mortality’, ‘critical events’, ‘comorbidities’ and their synonyms. Papers published in English since 2000 and describing at least 50 patients under the age of 1 year undergoing laparoscopic surgery were included. Articles were excluded when the majority of patients had congenital abnormalities. Quality of the studies was assessed using the QUIPS risk of bias tool. Results: The Pubmed and Embase databases yielded a total of 12,401 unique articles, which after screening on title and abstract resulted in 471 articles to be selected for full text screening. Ten articles met the inclusion criteria for this systematic review, which included 1778 infants <1 years undergoing elective laparoscopic surgery. Mortality occurred once (death not surgery-related), resuscitation in none and critical events in 53/1778 of the procedures. Conclusion: The results from this review illustrate that morbidity and mortality in infants without extensive comorbidities during and just after elective laparoscopic procedures seem limited, indicating that the advantages of performing elective laparoscopic OTC for infants with cancer at high risk of gonadal damage may outweigh the anesthetic and surgical risks of laparoscopic surgery in this age group. [ABSTRACT FROM AUTHOR]

In this paper, I bring together the problems of justice between age groups and intergenerational cooperation in light of real-life demographic trends. I begin by presenting a simple model of intergenerational cooperation based on indirect reciprocity and show how cooperation can break down due to exogenous factors, including demographic change. I use the model to make the argument that principles for justice between age groups must be sensitive to the stability of intergenerational cooperation. I illustrate my thesis by considering the debate between distributive and relational egalitarians on justice between age groups. [ABSTRACT FROM AUTHOR]

Social media has become a pervasive phenomenon which is affecting the life of all genders and all age groups across different demographics. This paper explores the multifaceted impact of social media on women examining its positive and negative consequences. Drawing upon the conclusions of 25 related and relevant review of literature, this study highlights the diverse ways in which social media influences women's lives. All the researches were systematically compared with each other to understand the common pattern in which social media is impacting the lives of women. The present research concludes that it has both positive and negative effects in their lives. On the positive side it gives a platform for women to learn and earn simultaneously whereas on the negative side it leads to low level of self-esteem among women. In addition to it, it leads to a situation of comparison and idolization of unrealistic beauty standards consequently leading to various psychological illnesses like depression and anxiety. It further has a detrimental effect on having a healthy partner and married life. [ABSTRACT FROM AUTHOR]

This paper presents a three-year profile of laboratory-confirmed COVID-19 cases in Eastern Visayas, the Philippines, from 23 Mar 2020-31 Mar 2023 -- with descriptive data on temporal trends, geographical variations, demographic factors, clinical characteristics, transmission patterns, and outcomes for vaccinated and unvaccinated cases. We analyzed data from the Regional Epidemiology and Surveillance Unit, Department of Health--Eastern Visayas Center for Health and Development to identify associations between COVID-19 severity and mortality and demographic and clinical factors. Moreover, we examined significant differences across gender cohorts and between vaccinated and unvaccinated individuals. During the three-year period, Eastern Visayas recorded 64,740 confirmed cases, with 98.93% recovery and 1.07% mortality. Most cases (61.72%) occurred in 2021 -- with Tacloban, Ormoc, and Leyte having the highest attack rates per 100,000 population. Infections were asymptomatic (70.40%) or mild (21.83%), and 82.7% of deaths were linked to severe infections. Females accounted for 52.6% of the patients, with a lower mortality rate (44.5%) than males (55.5%). The 20-29 age group had the highest count (22.57%), whereas the 70-79 age group recorded the highest number of deaths (25.94%). The vast majority (93.6%) had no comorbidities. Comorbidities reported among deaths included kidney disease (11.3%), heart disease (7.6%), and hypertension (3.9%). Notably, no significant differences in recoveries and deaths were found between vaccinated and unvaccinated groups (p-value = 0.304). Logistic regression analysis showed that gender, age group, place of residence, comorbidity, and vaccination status were significantly associated with disease severity and mortality. Eastern Visayas demonstrated a relatively low COVID-19 caseload (1.59%) within the cumulative Philippine count. This is the most extensive COVID-19 case profile in the Philippines to date, hence providing essential data for pandemic preparedness, enhanced response strategies, and regional health crisis resilience. [ABSTRACT FROM AUTHOR]

Massive Open Online Courses (MOOCs) can be considered an important tool for professionals to reskill and upskill as well as a cost-efficient way to stay relevant. However, evidence-based research is still needed to identify why specific categories of people, especially professionals, take paid MOOCs. The paper aims to analyze the factors that influence IT working Professionals to adopt paid MOOCs using the UTAUT 2 model. Based on a survey conducted on 250 respondents, the study uses multiple regression to understand the significance of factors affecting the intention to adopt paid MOOCs. A multigroup analysis was also done to understand the differences among different age groups and genders. The results establish that social influence, facilitating conditions, brand credibility and price value are significant in the adoption of MOOCs. Performance expectancy, effort expectancy, and curiosity were found to be insignificant. Based on the research findings, the implication of the study and future scope for research have been suggested. [ABSTRACT FROM AUTHOR]

This paper presents the results of a study of basic population parameters of the black scorpionfish caught in the waters of the coasts of the Crimean Peninsula, its grown rate, and its nutritional spectrum. The modern food supply of scorpionfish from the southeastern part differs from that in 1940–1950: in the Sevastopol region, scorpionfish mainly consume fish, and in the waters of Feodosia they consume crustaceans. The main changes in food items, depending on the fish age, are associated with the components—decapods and fish. In the southeastern part of Crimea, small fish species predominate in the diet of scorpionfish, which affected the higher growth rate of the object studied. Black scorpionfish at the age of 6 years and older in these waters consume mainly decapods. In Sevastopol waters, the diet does not change significantly depending on age, so the fish component in the stomach of black scorpionfish of older age groups cause it to grow faster. However, no significant differences in the growth rate of fish from the two areas were obtained. The data presented in the paper on the physical and chemical parameters of water, as well as the distribution of bottom aquatic vegetation in the two main study areas, demonstrate small differences in the quality of the environment and are satisfactory for the bottom predator studied. The average age of the scorpionfish from Karadag was 5.9 years old, the most numerous age group was 4 years; the average age of individuals from the water area was 3.72, and the most numerous age group was 3 years. In the Sevastopol region, scorpionfish up to 5 years of age are larger than in the Feodosia region, and from 6 years of age it is the other way around. Despite this, the condition factor of fish from the waters of southeastern Crimea was higher in most cases. [ABSTRACT FROM AUTHOR]

Skin aging is a complex physiological process, in which cells and the extracellular matrix (ECM) interreact, which leads to a change in the mechanical properties of skin, which in turn affects the cell secretion and ECM deposition. The natural skin microrelief that exists from birth has rarely been taken into account when evaluating skin aging, apart from the common knowledge that microreliefs might serve as the starting point or initialize micro-wrinkles. In fact, microrelief itself also changes with aging. Does the microrelief have other, better uses? In this paper, owing to the fast-developing 3D printing technology, skin wrinkles with microrelief of different age groups were successfully manufactured using the Digital light processing (DLP) technology. The mechanical properties of skin samples with and without microrelief were tested. It was found that microrelief has a big impact on the elastic modulus of skin samples. In order to explore the role of microrelief in skin aging, the wrinkle formation was numerically analyzed. The microrelief models of different age groups were created using the modified Voronoi algorithm for the first time, which offers fast and flexible mesh formation. We found that skin microrelief plays an important role in regulating the modulus of the epidermis, which is the dominant factor in wrinkle formation. The wrinkle length and depth were also analyzed numerically for the first time, owing to the additional dimension offered by microrelief. The results showed that wrinkles are mainly caused by the modulus change of the epidermis in the aging process, and compared with the dermis, the hypodermis is irrelevant to wrinkling. Hereby, we developed a hypothesis that microrelief makes the skin adaptive to the mechanical property changes from aging by adjusting its shape and size. The native-like skin samples with microrelief might shed a light on the mechanism of wrinkling and also help with understanding the complex physiological processes associated with human skin. [ABSTRACT FROM AUTHOR]

The effects of PM2.5 on human health fluctuate greatly among various age groups, influenced by a range of physiological and immunological reactions. This paper compares the pathogenesis of the disease caused by PM2.5 in people of different ages, focusing on how children, adults, and the elderly are each susceptible to it because of differences in their bodies. Regarding children, exposure to PM2.5 is linked to many negative consequences. These factors consist of inflammation, oxidative stress, and respiratory problems, which might worsen pre-existing conditions and potentially cause neurotoxicity and developmental issues. Epigenetic changes can affect the immune system and make people more likely to get respiratory diseases. On the other hand, exposures during pregnancy can change how the cardiovascular and central nervous systems develop. In adults, the inhalation of PM2.5 is associated with a wide range of health problems. These include respiratory difficulties, reduced pulmonary function, and an increased susceptibility to illnesses such as asthma, chronic obstructive pulmonary disease (COPD), and lung cancer. In addition, exposure to PM2.5 induces systemic inflammation, cardiovascular diseases, insulin resistance, and neurotoxic consequences. Evident disturbances in the immune system and cognitive function demonstrate the broad impact of PM2.5. The elderly population is prone to developing respiratory and cardiovascular difficulties, which worsen their pre-existing health issues and raise the risk of cognitive decline and neurological illnesses. Having additional medical conditions, such as peptic ulcer disease, significantly increases the likelihood of being admitted to hospital. [ABSTRACT FROM AUTHOR]

This paper shares the results of a meta-analysis on the parental-relational component of parental-involvement and its association with the academic and behavioral outcomes of urban students. This meta-analysis includes 76 quantitative studies. The results indicated that statistically significant effects emerged across students of different backgrounds, including differences by age groups, race, gender, and nationality. The results were also substantial in the highest quality studies. The significance of these results is discussed. [ABSTRACT FROM AUTHOR]

The work presented in this paper makes multiple scientific contributions related to the investigation of the global fear associated with COVID-19 by performing a comprehensive analysis of a dataset comprising survey responses of participants from 40 countries. First, the results of subjectivity analysis performed using TextBlob, showed that in the responses where participants indicated their biggest concern related to COVID-19, the average subjectivity by the age group of 41–50 decreased from April 2020 to June 2020, the average subjectivity by the age group of 71–80 drastically increased from May 2020, and the age group of 11–20 indicated the least level of subjectivity between June 2020 to August 2020. Second, subjectivity analysis also revealed the percentage of highly opinionated, neutral opinionated, and least opinionated responses per age-group where the analyzed age groups were 11–20, 21–30, 31–40, 41–50, 51–60, 61–70, 71–80, and 81–90. For instance, the percentage of highly opinionated, neutral opinionated, and least opinionated responses by the age group of 11–20 were 17.92%, 16.24%, and 65.84%, respectively. Third, data analysis of responses from different age groups showed that the highest percentage of responses indicating that they were very worried about COVID-19 came from individuals in the age group of 21–30. Fourth, data analysis of the survey responses also revealed that in the context of taking precautions to prevent contracting COVID-19, the percentage of individuals in the age group of 31–40 taking precautions was higher as compared to the percentages of individuals from the age groups of 41–50, 51–60, 61–70, 71–80, and 81–90. Fifth, a deep learning model was developed to detect if the survey respondents were seeing or planning to see a psychologist or psychiatrist for any mental health issues related to COVID-19. The design of the deep learning model comprised 8 neurons for the input layer with the ReLU activation function, the ReLU activation function for all the hidden layers with 12 neurons each, and the sigmoid activation function for the output layer with 1 neuron. The model utilized the responses to multiple questions in the context of fear and preparedness related to COVID-19 from the dataset and achieved an accuracy of 91.62% after 500 epochs. Finally, two comparative studies with prior works in this field are presented to highlight the novelty and scientific contributions of this research work. [ABSTRACT FROM AUTHOR]

Climate change increases the risk of illness through rising temperature, severe precipitation and worst air pollution. This paper investigates how monthly excess mortality rate is associated with the increasing frequency and severity of extreme temperature in Canada during 2000-2020. The extreme associations were compared among four age groups across five sub-blocks of Canada based on the datasets of monthly T90 and T10, the two most representative indices of severe weather monitoring measures developed by the actuarial associations in Canada and US. We utilize a combined seasonal Auto-regressive Integrated Moving Average (ARIMA) and bivariate Peaks-Over-Threshold (POT) method to investigate the extreme association via the extreme tail index χ and Pickands dependence function plots. It turns out that it is likely (more than 10%) to occur with excess mortality if there are unusual low temperature with extreme intensity (all χ > 0.1 except Northeast Atlantic (NEA), Northern Plains (NPL) and Northwest Pacific (NWP) for age group 0-44), while extreme frequent high temperature seems not to affect health significantly (all χ ≤ 0.001 except NWP). Particular attention should be paid to NWP and Central Arctic (CAR) since population health therein is highly associated with both extreme frequent high and low temperatures (both χ = 0.3182 for all age groups). The revealed extreme dependence is expected to help stakeholders avoid significant ramifications with targeted health protection strategies from unexpected consequences of extreme weather events. The novel extremal dependence methodology is promisingly applied in further studies of the interplay between extreme meteorological exposures, social-economic factors and health outcomes. [ABSTRACT FROM AUTHOR]

Estimation of age-at-death from human skeletal remains is fundamental in forensic anthropology as part of the construction of the biological profile of the individual under study. At the same time, skeletal age-at-death estimation in adults is problematic due to the disparity between chronological and biological age, the important inter-individual variability at the rate of skeletal aging, and inherent biases in the available methodologies (e.g., age mimicry). A recent paper proposed a method for skeletal age-at-death estimation based on multiple anatomical traits and machine learning. A software was also created, DRNNAGE, for the easy implementation of this method. The authors of that study supported that their methods have very high repeatability and reproducibility, and the mean absolute error of the age estimation was ~6 years across the entire adult age span, which is particularly high and promising. This paper tests the proposed methodology on a modern documented Greek sample of 219 adult individuals from the Athens Collection, with age-at-death from 19 to 99 years old. The sample was split into males and females as well as into individuals under and over 50 years old. We also divided the sample in 10-year intervals. First, intra- and inter-observer error was estimated in order to assess repeatability and reproducibility of the variables employed for age-at-death estimation. Then, the validity (correct classification performance) of DRNNAGE for each anatomical region individually, as well as all combined, was evaluated on each demographic separately and on the pooled sample. According to the results, some of the variables showed very low repeatability and reproducibility, thus their use should be cautious. The DRNNAGE software showed overall highly accurate age-at-death estimates for individuals older than 50 years, but poor on younger adults, with only exception the cranial sutures, which performed surprisingly well for all age groups. Overall, these results support the importance of cross-validation and the use of population-specific methods in forensic anthropology. [ABSTRACT FROM AUTHOR]

Evidence on the impact of the COVID-19 pandemic on adolescent mental health is mixed and does not disentangle natural age-related changes. We compared depressive symptoms among 16-year-olds surveyed, at a fourth wave, before or during the pandemic, while accounting for expected trajectories of within-person change based on 3 prior waves. In this longitudinal cohort of 3,171 adolescents in Tokyo, Japan, adolescents were grouped based on their age 16 survey timing: pre-pandemic (February 2019 to February 2020) and during-pandemic (March 2020 to September 2021). Depressive symptoms were self-reported using the Short Mood and Feelings Questionnaire. Mixed-effect models were fitted to assess group differences while controlling for previous trends. Variations by sex, household income, and pandemic phase (early, late first-year, and second-year) were examined. Of 2,034 eligible adolescents, 960 (455 girls) were assessed before and 1,074 (515 girls) during the pandemic. Overall, depressive symptoms increased by 0.80 points (95% CI 0.28-1.31, 0.15 SD of the population average). This increase varied by sex and pandemic phase. For boys the increase emerged in the late first-year phase and enlarged in the second-year phase (mean difference from pre-pandemic: 1.69, 0.14-3.24), whereas for girls it decreased in the early school-closure phase (mean difference: –1.98, –3.54 to –0.41) and returned to the pre-pandemic level thereafter, with no additional increases during the pandemic. Into the second year of the COVID-19 pandemic, depressive symptoms of 16-year-olds worsened above the expected age-related change only in boys. Continuous monitoring and preventive approaches for adolescents at the population level are warranted. We worked to ensure that the study questionnaires were prepared in an inclusive way. We worked to ensure sex and gender balance in the recruitment of human participants. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. We actively worked to promote sex and gender balance in our author group. The author list of this paper includes contributors from the location and/or community where the research was conducted who participated in the data collection, design, analysis, and/or interpretation of the work. [ABSTRACT FROM AUTHOR]

The Helanshan Mountain tectonic belt (HTB) is an intraplate deformation belt along the northwestern border of the Ordos Block in the North China Craton. When and why this intracontinental tectonic belt formed, its subsequent uplift and erosion, and the relationships between ranges and adjacent basins remain unclear. To better assess the connections between the temporal and structural activity in HTB, apatite fission-track (AFT) and zircon fission-track (ZFT) analyses were conducted in this study. The lack of adequate FT data from the HTB is a source of contention and dispute. This paper collected samples for AFT and ZFT techniques from the central and southern HTB, trying to improve the research. The ZFT and AFT ages could be divided into the following 7 groups: 279 Ma, 222–213 Ma, 193–169 Ma, 151–147 Ma, 130–109 Ma, 92–77 Ma, and 65–50 Ma. The inverse modeling results of AFT indicate 4 fast cooling episodes of 170–120 Ma, 120–95 Ma, 66–60 Ma, and ~10–8 Ma to the present. Combining the results of FT analysis with radial plot and inverse modeling of AFT, the following eight age groups are believed to reveal the distinct tectonic activities in HTB: the first age group of 279 Ma mainly represented the back-arc extension of the southern HTB; the age group of 222–213 Ma was bounded with NNE-SSE trending contraction between the South China block and North China Craton; the event of 193–169 Ma responded to the post-orogenic collapse followed after the second event; the 151–147 Ma group was interpreted as the eastward extrusion induced by the subduction between Qiangtang and Lhasa blocks; the Early Cretaceous (130–109 Ma) group was not only affected by the rollback of the Pacific Plate, but also denoted the collapse of the thickened lithosphere formed in the Late Jurassic; the Late Cretaceous (92–77 Ma) group was attributed to long-distance impact from the subduction of the Pacific Plate beneath the Eurasian Plate; the event during 65–50 Ma was a correspondence to far-field effect of the onset collision between the Eurasian and Indian Plates; and from 10–8 Ma to the present, the progressive collision of the Indian and Eurasian Plates have a significant impact on the HTB and the northeastern Tibetan Plateau. [ABSTRACT FROM AUTHOR]

China faces a significant population of individuals with disabilities, and the aging demographic exacerbates this challenge. There is an urgent need for accessible environments for vulnerable groups such as persons with disabilities, the elderly, and pregnant women. Consequently, this study aimed to explore the factors influencing satisfaction with accessible travel in old communities in Nanchang City. Adopting a perspective encompassing vulnerabilities across all age groups, we employed interviews, on-site surveys, questionnaires, and literature reviews to construct a model of satisfaction with accessible travel. This model comprises five evaluation dimensions: pedestrian pathways, public spaces, signage guidance, social support, and software provision, encompassing twenty-seven influencing factors. Structural equation modeling (SEM) was utilized to validate the model. The research findings indicated that social support (0.697), pedestrian pathways (0.480), and public spaces (0.291) exerted a significant overall effect on satisfaction within the model, whereas the influence of software provision (0.225) and signage guidance (0.249) was comparatively smaller. Vulnerable groups within the community prioritized operational maintenance (0.818) and cultural advocacy (0.791) within social support. They also emphasized aspects of pedestrian pathways such as elevation treatment (0.809) and pavement design (0.803), as well as rest facilities (0.804) and service facilities (0.790) within public spaces. Finally, based on the weighted ranking of factors among latent variables, we propose corresponding optimization strategies and development proposals. This paper contributes to providing theoretical, practical, and technical support for the design of community accessibility that caters to socially vulnerable groups across "universal and all-ages" groups. It plays a proactive role in enhancing the quality of life for these vulnerable groups and promoting the improvement of accessibility environments in old communities. [ABSTRACT FROM AUTHOR]

Objective: Mealtimes are a period of heightened distress for individuals with eating disorders. Patients frequently display maladaptive coping strategies, such as hiding food and using distraction techniques to avoid eating. The aim of this systematic review is to evaluate the evidence for meal support interventions as a first-line intervention for eating disorders. Method: Six databases were systematically searched in January 2024. Papers including patients with an eating disorder, and meal support or meal supervision, were examined. Quality appraisal was conducted. Results: Ten studies met inclusion criteria. Meal support was conducted individually and in group settings. Two studies examined the practical or interpersonal processes of meal support. Carers and trained clinicians implemented meal support. Individuals across the lifespan were examined. Settings included inpatient units, community clinics, and the home. Studies were heterogeneously evaluated with retrospective chart audits, pre- and post- cohort studies, semi-structured interviews, video analysis, and surveys. Discussion: Meal support intervention is potentially suitable and beneficial for patients of various age groups and eating disorder diagnoses. Due to the lack of consistent approaches, it is apparent there is no standardised framework and manualised approach. This highlights the need for the development of a co-designed approach, adequate training, and rigorous evaluation. Plain English summary: Previous research indicates that meal support may be potentially beneficial as an independent intervention in the treatment of eating disorders, but inconsistent approaches and a lack of standardization make evaluations challenging. The current study aims to provide an overview of current meal support interventions, how they are implemented, and their impacts on health outcomes and hospital admissions in people experiencing an eating disorder. Gaps in current knowledge and research highlight the need for further investigation, and the development of a co-designed approach, adequate training, and rigorous evaluation. [ABSTRACT FROM AUTHOR]

Cardiovascular diseases remain the leading global cause of mortality. Age is an important covariate whose effect is most easily investigated in a healthy cohort to properly distinguish the former from disease-related changes. Traditionally, most of such insights have been drawn from the analysis of electrocardiogram (ECG) feature changes in individuals as they age. However, these features, while informative, may potentially obscure underlying data relationships. In this paper we present the following contributions: (1) We employ a deep-learning model and a tree-based model to analyze ECG data from a robust dataset of healthy individuals across varying ages in both raw signals and ECG feature format. (2) We use explainable AI methods to identify the most discriminative ECG features across age groups.(3) Our analysis with tree-based classifiers reveals age-related declines in inferred breathing rates and identifies notably high SDANN values as indicative of elderly individuals, distinguishing them from younger adults. (4) Furthermore, the deep-learning model underscores the pivotal role of the P-wave in age predictions across all age groups, suggesting potential changes in the distribution of different P-wave types with age. These findings shed new light on age-related ECG changes, offering insights that transcend traditional feature-based approaches. [ABSTRACT FROM AUTHOR]

Human-to-human contact plays a leading role in the transmission of infectious diseases, and the contact pattern between individuals has an important influence on the intensity and trend of disease transmission. In this paper, we define regular contacts and random contacts. Then, taking the COVID-19 outbreak in Yangzhou City, China as an example, we consider age heterogeneity, household structure and two contact patterns to establish discrete dynamic models with switching between daytime and nighttime to depict the transmission mechanism of COVID-19 in population. We studied the changes in the reproduction number with different age groups and household sizes at different stages. The effects of the proportion of two contacts patterns on reproduction number were also studied. Furthermore, taking the final size, the peak value of infected individuals in community and the peak value of quarantine infected individuals and nucleic acid test positive individuals as indicators, we evaluate the impact of the number of random contacts, the duration of the free transmission stage and summer vacation on the spread of the disease. The results show that a series of prevention and control measures taken by the Chinese government in response to the epidemic situation are reasonable and effective, and the young and middle-aged adults (aged 18-59) with household size of 6 have the strongest transmission ability. In addition, the results also indicate that increasing the proportion of random contact is beneficial to the control of the infectious disease in the phase with interventions. This work enriches the content of infectious disease modeling and provides theoretical guidance for the prevention and control of follow-up major infectious diseases. [ABSTRACT FROM AUTHOR]

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