This systematic review evaluates China’s Rural Revitalization Policy, focusing on sustainable agriculture, food security, and poverty alleviation initiatives from 2010 to 2024. The study addresses critical gaps in understanding how these combined efforts impact long-term food security and ecological sustainability in impoverished areas, moving beyond the short-term outcomes often emphasized in existing literature. Following the PRISMA 2020 guidelines, we reviewed 33 peer-reviewed publications from the Web of Science and Scopus databases, employing bibliometric analyses in RStudio to assess citation patterns, collaboration networks, and thematic evolution. Our analysis reveals significant progress across three interconnected domains. First, poverty alleviation initiatives achieved a 12.3% reduction in rural poverty through integrated agricultural modernization and targeted support programs. Second, agricultural productivity increased by 9.8% through technological integration and sustainable farming practices, strengthening food security outcomes. Third, environmental sustainability improved notably, with a 15.7% increase in clean water access, demonstrating a successful balance between economic growth and ecological protection. China emerged as the largest contributor (15.2%) to research in this field, with substantial international collaboration (42.4% of publications involving cross-border co-authorship). Despite these achievements, significant regional disparities persist, particularly between eastern and western regions, where targeted interventions are needed. The findings highlight the need for regionally tailored approaches: eastern regions require focus on sustainable intensification, western regions need fundamental infrastructure development, and central regions would benefit from strengthened urban–rural linkages. This study provides valuable insights for policymakers and researchers working on rural development initiatives while identifying areas requiring further research, particularly in long-term sustainability assessments and climate resilience strategies.

This study examines the correlation between female body image and social media usage, focusing on the impact it has on overall well-being. The popularity of social networking sites (SNSs) has significantly impacted our digital culture, providing options for self-expression, engagement, and communication. However, SNSs also bring certain drawbacks, such as the potential for body dissatisfaction and negative psychological effects. Gap: While previous research has examined the relationship between social media use and body image, there is a need for a comprehensive analysis that specifically focuses on the effects on female well-being. This study aims to fill the gap by providing a comprehensive exploration of the effects of social media use on female body image and its influence on overall well-being. The objective of this study is to examine the correlation between social media usage and female body image, specifically focusing on the detrimental effects on well-being and mental health. By analyzing academic papers and research findings, this study aims to contribute to the understanding of the intricate relationship between social media, body image, and well-being. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) framework was used to compile relevant literature. Data from Scopus sources was analyzed using the RStudio 4.2.1-win program. Various factors, such as the publishing year, author details, keywords, and document categories, were considered to identify important patterns and insights. It is recommended that awareness and educational campaigns be developed to promote a healthy body image and address the potential negative consequences of social media use. The analysis significantly contributes to the body of knowledge by offering a thorough examination of the connection between female body image on social media and usage, highlighting the detrimental effects on well-being and mental health.

The bulk of the literature related to digital media and children exposed various psychologically harmful impacts. This bibliometric analysis is a crucial attempt to document and present existing literature, identify gaps, and recommend further exploring social media’s impact on children’s well-being. The method “the preferred reporting items for systematic reviews and meta-analyses” is employed to investigate the publication on the impacts of digital media on children’s well-being. The data is collected from the Web of Science database, which includes publications published between 2000 and 2023. The final sample consists of 1,037 research publications evaluated using Bibliometrix software. The findings provide insights into how media is a challenge or opportunity for children and their well-being in the modern era. The trends and suggestions in the discussion of digital media’s impacts on children’s well-being are presented in this study.

Social media has become a vital tool for facilitating health communications, particularly during emerging health crises such as the COVID-19 pandemic. This systematic literature review aims to synthesize evidence regarding the benefits and barriers associated with the utilization of social media by health communicators in India for disseminating health-related information. A comprehensive search of databases like CINAHL, Google Scholar, PubMed, and WHO Global Index Medicus databases yielded a total of 13 relevant studies. The narrative analysis revealed six key benefits attributed to the usage of social media by health communicators, including the widespread adoption of social media platforms for health communications, health communicators leveraging social media as an information source, fostering the development of protective behaviors, aiding prompt and transparent health communication, promoting participatory communication and empowerment, and employing social media as a tool for monitoring public sentiments and mental well-being. Conversely, challenges such as the proliferation of misinformation and communication inequalities were identified as significant barriers in social media health communications. While social media platforms hold immense potential in advancing crisis communication agendas, health communicators are advocated to adopt a multifaceted approach by prioritizing digital inclusivity, combating misinformation, and fostering synergetic collaborations between governmental bodies and community entities.

Women's health and mortality are significantly threatened by breast cancer, underscoring the importance of timely detection and treatment. Mammograms are an extremely useful and trustworthy diagnostic tool for early detection and screening of breast cancer. Mammograms based CADe systems have helped doctors in predicting BI-RADS categories and make better decisions and have somewhat reduced diagnostic errors. As deep learning algorithms advance, deep learning-based CADe systems become a practical means of resolving these problems and greatly improving the accuracy. The purpose of this review is to discuss the current techniques that have been developed for BI-RADS category classification in the fields of deep learning and convolutional neural networks. Additionally, the paper demonstrates the progression of models introduced in the past ten years. It also discusses the shortcomings of models proposed in the literature for the prediction of BI-RADS categories from mammography radiology reports and mammography images, in addition to summarizing the current challenges. Lastly, it proposes a novel multi-modal approach to predict the BI-RADS categories from radiology reports and mammography images.

This systematic review investigates the relationship between social media use and body image across genders, examining how different engagement patterns influence body perception and identifying gender-specific vulnerability factors through the theoretical frameworks of Objectification Theory and Social Comparison Theory. Following PRISMA guidelines, we analyzed 65 peer-reviewed articles (2019–2023) from Scopus and Web of Science using the keywords “social media,”“body image,” and “gender.” A multi-stage analysis approach employed PRISMA framework for article selection, bibliometric analysis using VOSviewer for mapping conceptual relationships, and Structural Topic Modeling (STM) to identify thematic clusters. Three primary thematic clusters emerged: “Social Media and Body Image” (39% of studies), “Gender Differences” (34%), and “Psychological Impact” (24%). Longitudinal analysis revealed a shift from gender-comparative research toward increasing focus on psychological mechanisms. Both passive consumption of idealized content and active manipulation of self-presentations consistently correlated with negative body image outcomes, with females demonstrating heightened vulnerability due to amplified sociocultural pressures. The study develops an integrated theoretical framework demonstrating how social media impacts body image through gender-specific pathways with varying psychological consequences. Females experience greater vulnerability due to more intense objectification effects and less effective coping resources, while platform design features amplify existing sociocultural appearance pressures. Our findings support the development of gender-sensitive interventions addressing specific vulnerability mechanisms, comprehensive media literacy programs fostering critical engagement with idealized imagery, and platform design modifications reducing features that foster problematic engagement patterns. Future research should employ longitudinal designs with gender-balanced samples to investigate causality and effectiveness of targeted interventions.