Search Results (3,345)

Background and Objectives: Exclusive breastfeeding offers optimal nutrition and health benefits for infants, yet many mothers face challenges that impact their ability to breastfeed. This study aimed to explore breastfeeding practices among Romanian mothers and identify factors associated with successful exclusive breastfeeding. Materials and Methods: A cross-sectional online survey was conducted from February to March 2025, targeting Romanian mothers via social media platforms. The questionnaire, developed specifically for this study, collected data on sociodemographics, birth and neonatal variables, hospital practices, feeding intentions, community influences, and breastfeeding outcomes. A total of 874 valid responses were analyzed using Fisher’s exact tests and multivariable logistic regression. Results: While 87.2% of mothers intended to breastfeed, only 56.1% reported exclusive breastfeeding. Factors significantly associated with reduced likelihood of exclusive breastfeeding included maternal age ≥ 30 years (OR = 1.40, p = 0.042), Cesarean delivery (OR = 1.78, p < 0.001), absence of rooming-in (OR = 2.32, p < 0.001), and pacifier use (OR > 4.7, p < 0.001). Protective factors included non-smoking status (OR = 0.52, p < 0.001) and encouragement to breastfeed by medical staff (OR = 1.60, p = 0.004). Despite external advice to use formula, many mothers continued breastfeeding. Conclusions: Although breastfeeding intention was high, exclusive breastfeeding remains suboptimal in Romania. Targeted support—particularly in maternity hospitals and for mothers recovering from Cesarean sections—alongside prenatal education and consistent postnatal guidance are essential to bridge the gap between intention and practice. Full article

E-learning is conducted by using electronic media and resources for learning activities. Recently, e-learning platforms have received more attention than traditional learning methods. Advances in information and communication systems have resulted in e-learning websites becoming interactive and flexible. However, the rapid increase in the use of e-learning websites leads to the problem of e-learning website evaluation and selection. In this study, e-learning websites were evaluated by adopting multi-criteria decision-making (MCDM). A new MCDM method, namely additive rank probability (ARP), was developed in this study to select the best e-learning website. To verify the effectiveness of the ARP method, the best C programming website was selected using five alternatives and ten criteria. The ranking of the C programming websites exactly matched those derived by other MCDM methods. However, there was a difference in the ranking by the ARP method with the weighted Euclidean distance-based approximation (WEDBA) method. ARP was proven as a simple and efficient method for identifying the best e-learning website for an effective learning process. Full article

Social media has become a vital communication tool for higher education institutions (HEIs) to reach larger targets, attract followers, and engage with diverse audiences. This study conducted a quantitative and qualitative analysis of 4148 Facebook posts from 16 public and private HEIs in the United Arab Emirates (UAE). The aim of the study is to evaluate users’ engagement through their reactions to various post characteristics, including format, language, and content type. The posts generated 177,022 emotes, 17,269 shares, and 8374 comments. The results showed that images are an efficient format for boosting interaction, whereas plain text posts did not generate high engagement. The English language was more conducive for generating shares, while Arabic-language posts generated more emotes and likes. The comparative analysis results showed that private HEIs are more active on their Facebook pages than public HEIs. The content analysis suggested that student-related posts generate the highest level of engagement, while announcements and faculty- and research-related posts drive the lowest levels of engagement. These results offer valuable insights into how HEIs can optimize their social media strategies to enhance user engagement. Full article

This study focuses on cultural and urban development policies under China’s 14th Five-Year Plan, exploring the content and semantic structure of discussions on the “East Asian Cultural Capital” project on the Weibo platform. It analyzes how national cultural development policies are reflected in the discourse system related to the “East Asian Cultural Capital” on social media and emphasizes the guiding role of policies in the dissemination of online culture. When China announced the 14th Five-Year Plan in 2021, the strategic direction and policy framework for cultural development over the five-year period from 2021 to 2025 were clearly outlined. This study employs text mining and semantic network analysis methods to analyze user-generated content on Weibo from 2023 to 2024, aiming to understand public perception and discourse trends. Word frequency and TF-IDF analyses identify key terms and issues, while centrality and CONCOR clustering analyses reveal the semantic structure and discourse communities. MR-QAP regression is employed to compare network changes across the two years. Findings highlight that urban cultural development, heritage preservation, and regional exchange are central themes, with digital media, cultural branding, trilateral cooperation, and cultural–economic integration emerging as key factors in regional collaboration. Full article

Background/Objectives: For kidney transplantation, it is very important to provide effective post-transplantation interventions to help patients achieve continuous and efficient self-management. Therefore, we review the self-management interventions applied to kidney transplant recipients and suggest the optimal approach to increase the effectiveness of future self-management interventions. Design: Systematic review. Methods: Search terms and strategies included kidney transplantation; self-management; intervention; systematic review. We searched MEDLINE via PubMed, Excerpta Media dataBASE, Cochrane Register Controlled Trials, Cumulative Index to Nursing and Allied Health Literature, and one domestic Korean database to identify studies of self-management interventions for kidney transplant recipients aged ≥ 18 years published in English or Korean until 14 May 2025. Two reviewers independently selected related studies and extracted relevant data. Identified studies were assessed for quality and bias. Results: Of 1340 studies identified, 27 with 1912 participants met the inclusion criteria. Educational interventions were the most common self-management interventions and were provided 3 months to 1 year after kidney transplantation; most interventions were administered by nurses. Outcome variables were divided into cognitive, behavioral, affective, and health outcomes. Educational interventions were effective in improving cognitive, behavioral, and affective aspects. Some differences were observed, depending on the study. Conclusions: We recommend that nurse-involved educational interventions be included when developing self-management interventions and guidelines for kidney transplant recipients in clinical and community nursing settings. Full article

Physics concepts are considered an essential component of STEM (science, technology, engineering, and mathematics) education and fundamental for economic and technological development in the world. However, there can be student academic underperformance, such as the school environment, learning media and infrastructure, student interest and emotions, as well as social and economic development factors in communities. These problems are even more acute in rural areas of developing countries, where poverty is high and teachers often lack the necessary technological skills. The aim of this study was to evaluate the impact of a low-cost STEM tool focused on motivation in learning, in terms of five variables of interest in physics in rural areas, as well as the durability of the tools used to learn 12 physics concepts. A quasi-experimental study was conducted with the participation of 78 high school students, with an average age of 15.82 years, in a rural area of Guerrero, Mexico. The results showed that using the STEM tool significantly increased students’ interest in learning methodology, active participation, and attitude towards physics, facilitating the teacher’s work. In addition, the 3D construction kit used in the experimentation, besides being low-cost, proved to be affordable and durable, making it ideal for use in rural areas. Full article

The Alevis of Anatolia and the Balkans and the Alawites of Syria and southeastern Turkey are two distinct ethnoreligious communities frequently conflated in both media and scholarly literature, despite their divergent historical origins, theological differences, and varying sociocultural formations. While their shared histories of marginalization and persecution, certain theological parallels, and cognate ethnonyms contribute to this conflation, it largely stems from a broader tendency within mainstream Islamic frameworks to homogenize so-called heterodox communities without sufficient attention to their doctrinal and cultural specificities. This paper, grounded in a synthetic analysis of current scholarship, maps the key historical, theological, and sociocultural intersections and divergences between Alawite and Alevi communities. Situated within the broader framework of intra-Islamic diversity, it seeks to move beyond essentialist and homogenizing paradigms by foregrounding the distinct genealogies of each tradition, rooted, respectively, in the early pro-Alid movements of Iraq and Syria and in Anatolian Sufism. In addition, the study examines the communities’ overlapping political trajectories in the modern era, particularly their alignments with leftist and secular–nationalist currents, as well as their evolving relationship—from mutual unawareness to a recent political rapprochement—prompted by the growing existential threats posed by the rise of Sunni-Salafi Islamist movements. Full article

Floods pose a growing threat globally, causing tragic loss of life, billions in economic damage annually, and disproportionately affecting socio-economically vulnerable populations. This paper aims to improve flood-risk communication for community leaders by exploring the application of artificial intelligence. We categorize U.S. flood information sources, review communication modalities and channels, synthesize the literature on community leaders’ roles in risk communication, and analyze existing technological tools. Our analysis reveals three key challenges: the fragmentation of flood information, information overload that impedes decision-making, and the absence of a unified communication platform to address these issues. We find that AI techniques can organize data and significantly enhance communication effectiveness, particularly when delivered through infographics and social media channels. Based on these findings, we propose FLAI (Flood Language AI), an AI-driven flood communication platform that unifies fragmented flood data sources. FLAI employs knowledge graphs to structure fragmented data sources and utilizes a retrieval-augmented generation (RAG) framework to enable large language models (LLMs) to produce contextualized narratives, including infographics, maps, and cost–benefit analyses. Beyond flood management, FLAI’s framework demonstrates how AI can transform public service data management and institutional AI readiness. By centralizing and organizing information, FLAI can significantly reduce the cognitive burden on community leaders, helping them communicate timely, actionable insights to save lives and build flood resilience. Full article

Fuel price increases have long been a contentious issue in Indonesia, sparking intense public and political debates. This study examines how digital media, particularly Kompas.com and Tempo.co, shape public discourse on fuel price hikes through mediatization. Using discourse network analysis, this study compares the political narratives surrounding fuel price increases during the administrations of Susilo Bambang Yudhoyono (2013) and Joko Widodo (2022). The findings reveal a shift in dominant discourse—opposition to price hikes was prominent in both periods, with government authority and economic justification emphasized in 2013, whereas concerns over rising living costs and social unrest dominated in 2022. This study highlights how mediatization has transformed policymaking from deliberative discussions into fragmented media battles, where digital platforms amplify competing narratives rather than facilitating consensus. Kompas.com predominantly featured counter-discourses, while Tempo.co exhibited stronger pro-government narratives in 2013. This study suggests that while digital media plays a crucial role in shaping policy perceptions, it does not necessarily translate into policy influence. It contributes to the broader understanding of the media’s role in policy debates. It underscores the need for more strategic government communication to manage public expectations and mitigate political unrest surrounding fuel price adjustments. Full article

Understanding the social drivers of pro-environmental behavior in urban forests and green spaces is critical for addressing sustainability challenges. Subjective norms serve as a key pathway through which social expectations influence individuals’ behavioral intentions. Despite mixed findings in the literature regarding the impact of subjective norms on individuals’ intentions, there is a research gap about the determinants of this construct. This study was conducted to explore how social expectations shape perceived subjective norms among visitors of urban forests. A theoretical model was developed with subjective norms at its center, incorporating their predictors including social identity, media influence, interpersonal influence, and institutional trust, personal norms as a mediator, and behavioral intention as the outcome variable. Using structural equation modeling, data was collected and analyzed from a sample of visitors of urban forests in Tehran, Iran. The results revealed that subjective norms play a central mediating role in linking external social factors to behavioral intention. Social identity emerged as the strongest predictor of subjective norms, followed by media and interpersonal influence, while institutional trust had no significant effect. Subjective norms significantly influenced both personal norms and intentions, and personal norms also directly predicted intention. The model explained 50.9% of the variance in subjective norms and 39.0% in behavioral intention, highlighting its relatively high explanatory power. These findings underscore the importance of social context and internalized norms in shaping sustainable behavior. Policy and managerial implications suggest that strategies should prioritize community-based identity reinforcement, media engagement, and peer influence over top-down institutional messaging. This study contributes to environmental psychology and the behavior change literature by offering an integrated, empirically validated model. It also provides practical guidance for designing interventions that target both social and moral dimensions of environmental action. Full article

This study examines how Environmental, Social, and Governance (ESG) reporting is communicated and perceived on YouTube. A dataset of 553 relevant videos and 5060 user comments was extracted on 2 April 2025 ranging between 2014 and 2025, and sentiment, topic, and stance analyses were applied to both transcripts and comments. The majority of video content strongly endorsed ESG reporting, emphasizing themes such as transparency, regulatory compliance, and financial performance. In contrast, viewer comments revealed diverse stances, including skepticism about methodological inconsistencies, accusations of greenwashing, and concerns over politicization. Notably, statistical analysis showed minimal correlation between video sentiment and audience sentiment, suggesting that user perceptions are shaped by factors beyond the tone of the videos themselves. These findings underscore the need for more rigorous ESG frameworks, enhanced standardization, and proactive stakeholder engagement strategies. The study highlights the value of online platforms for capturing stakeholder feedback in real time, offering practical insights for organizations and policymakers seeking to strengthen ESG disclosure and communication. Full article

The purpose of this work was to obtain specialized enrichment cultures from an original extreme acidophilic consortium of extremely acidophilic microorganisms and to study their microbial community composition and biotechnological potential. At temperatures of 25, 35, 40 and 50 °C, distinct enrichments of extremely acidophilic microorganisms used in the processes of bioleaching sulfide ores were obtained using nutrient media containing ferrous sulfate, elemental sulfur and a copper sulfide concentrate as nutrient inorganic substrates, with and without the addition of 0.02% yeast extract. The microbial community composition was studied using the sequencing of the V3–V4 hypervariable region of the 16S rRNA genes. The different growth conditions led to changes in the microbial composition and relative abundance of mesophilic and moderately thermophilic, strict autotrophic and mixotrophic microorganisms in members of the genera Acidithiobacillus, Sulfobacillus, Leptospirillum, Acidibacillus, Ferroplasma and Cuniculiplasma. The dynamics of the oxidation of ferrous iron, sulfur, and sulfide minerals (pyrite and chalcopyrite) by the enrichments was also studied in the temperature range of 25 to 50 °C. The study of enrichment cultures using the molecular biological method using the metabarcoding method of variable V3–24 V4 fragments of 16S rRNA genes showed that enrichment cultures obtained under different conditions differed in composition, which can be explained by differences in the physiological properties of the identified microorganisms. Regarding the dynamics of the oxidation of ferrous ions, sulfur, and sulfide minerals (pyrite and chalcopyrite), each enrichment culture was studied at a temperature range of 25 to 50 °C and indicated that all obtained enrichments were capable of oxidizing ferrous iron, sulfur and minerals at different rates. The obtained enrichment cultures may be used in further work to increase bioleaching by using the suitable inoculum for the temperature and process conditions. Full article

Atmospheric and oceanic turbulence can severely degrade the orbital angular momentum (OAM) mode purity of vortex beams in cross-media optical links. Here, we propose a hybrid correction framework that fuses multiscale phase-screen modeling with a lightweight U-Net predictor for phase-distortion—driven solely by measured optical intensity—and augments it with a feed-forward, Gaussian-reference subtraction scheme for iterative compensation. In our experiments, this approach boosts the l = 3 mode purity from 38.4% to 98.1%. Compared to the Gerchberg–Saxton algorithm, the Gaussian-reference feed-forward method achieves far lower computational complexity and greater robustness, making real-time phase recovery feasible for OAM-based communications over heterogeneous channels. Full article

Recent years have seen frequent heavy rainfall events in Japan, often linked to Baiu fronts and typhoons. These events are exacerbated by global warming, leading to an increased frequency and intensity. As floods represent a serious threat to sustainable urban development and community resilience, this study contributes to sustainability-focused risk reduction through integrated analysis. This study focuses on the 2 June 2023 heavy rain disaster in Toyohashi City, Japan, which caused extensive damage due to flooding from the Yagyu and Umeda Rivers. Using numerical models, this study accurately reproduces flooding patterns, revealing that high tides amplified the inundation area by 1.5 times at the Yagyu River. A resident questionnaire conducted in collaboration with Toyohashi City identifies key trends in evacuation behavior and disaster information usage. Traditional media such as TV remain dominant, but younger generations leverage electronic devices for disaster updates. These insights emphasize the need for targeted information dissemination and enhanced disaster preparedness strategies, including online materials and flexible training programs. The methods and findings presented in this study can inform local and regional governments in building adaptive disaster management policies, which contribute to a more sustainable society. Full article

This study integrates the Theory of Planned Behavior and the Theory of Consumption Values through a mixed-methods approach (structured interview and structural equation model) to investigate cross-platform disposal behaviors for idle clothing on social media and second-hand platform ecosystems. The study reconstructs traditional theoretical variables: psychological motivation dimension (platform-enabled green attitude, social circle environmental demonstration, and cross-platform behavioral control) and perceived value dimension (functional integration value perception, socialized emotional empowerment, and community identity value). Key findings: Cross-platform behavioral control is the strongest predictor of behavioral intention. In the value dimension, emotional value has the strongest direct impact on disposal intentions, functional integration is key to enhancing behavioral control, and community identity value most significantly impacts the platform-enabled green attitude and the social circle environmental demonstration. Finally, proposing a governance framework of “technological empowerment–emotional resonance–identity motivation”, offering theoretical foundations for optimizing platform interoperability and formulating digital environmental policies. Full article