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Search Results (3,362)

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10 pages, 2018 KiB  
Proceeding Paper
Data Protection in Brazil: Applying Text Mining in Court Documents
by Arnaldo Lucas Santos Duarte, Everton Reis de Souza, Marcos Paulo de Oliveira Silva, Madson Bruno da Silva Monte, Nathaly Oliveira de Almeida Correia, Victor Diogho Heuer de Carvalho and Fernando Henrique Taques
Eng. Proc. 2025, 87(1), 57; https://doi.org/10.3390/engproc2025087057 - 29 Apr 2025
Viewed by 363
Abstract
The rise of information technology and artificial intelligence has sparked debates on data protection in various fields. Data protection has been addressed in court rulings long before Brazil’s General Data Protection Law (LGPD). This study analyzes jurisprudence related to data protection by examining [...] Read more.
The rise of information technology and artificial intelligence has sparked debates on data protection in various fields. Data protection has been addressed in court rulings long before Brazil’s General Data Protection Law (LGPD). This study analyzes jurisprudence related to data protection by examining 10,009 documents from the Brazilian States’ courts collected through a web scraping process in an online juridical platform without restricting the period of publication. This analysis reveals document distribution among state courts, with the southeast and southern regions being the most productive, and identifies key terms in each state court. This provides a deeper understanding of the legal processes surrounding data protection issues in each Brazilian region. Full article
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21 pages, 305 KiB  
Article
Burnout and Professional Quality of Life Amongst Crisis Hotline Responders: A Cross-Sectional Survey in Canada During COVID-19
by Stephen Lee-Cheong, Mariam Alaverdashvili, Mackenzie Jardine, Vidhi Shivani Maharaj and Nathan Kolla
Healthcare 2025, 13(9), 1025; https://doi.org/10.3390/healthcare13091025 - 29 Apr 2025
Viewed by 171
Abstract
Background/Objectives: There is a significant gap in accessibility to mental healthcare in Canada. This study aims to examine the population of Canadian crisis hotline responders and investigate the variables that contributed to burnout and professional quality of life during COVID-19. Crisis hotline responders [...] Read more.
Background/Objectives: There is a significant gap in accessibility to mental healthcare in Canada. This study aims to examine the population of Canadian crisis hotline responders and investigate the variables that contributed to burnout and professional quality of life during COVID-19. Crisis hotline responders are hypothesized to be affected by burnout and poor professional quality of life, due to the inherent nature of the job and the widespread negative mental health effects of COVID-19, which are expected to continue even after the pandemic. Methods: An online, cross-sectional, mixed-methods survey assessed sociodemographic information, shift-related variables, burnout and related factors, and current support methods utilized by crisis hotline responders across Canada. The open-ended questions helped to more personally reflect participants’ experiences. Data were analyzed using chi-square tests, an analysis of variance, and a regression analysis. Results: The survey was completed by 136 participants (78.7% female) with an average age of 39.68. Participants reported relatively high levels of burnout/stress on both the Copenhagen Burnout Inventory and professional quality of life survey. Younger age, less work experience, and working overnight shifts emerged as possible predictors of worse mental wellbeing. Conclusions: Findings suggest that Canadian crisis hotline responders require greater support to manage workplace burnout/stress. Nevertheless, conducting comprehensive studies during times when there are no public health emergencies are warranted to understand the full scope of burnout in this population. We offer five recommendations to support the mental wellbeing of responders and improve access to this important public health resource. Full article
16 pages, 251 KiB  
Article
Evaluating the Effectiveness of Food Safety Policies in Portugal: A Stakeholder-Based Analysis of Challenges and Opportunities for Food Safety Governance
by Júlia Rodrigues, Cristina Saraiva, Juan García-Díez, José Castro and Alexandra Esteves
Foods 2025, 14(9), 1534; https://doi.org/10.3390/foods14091534 - 27 Apr 2025
Viewed by 190
Abstract
Food safety is a fundamental component of public health, economic stability, and consumer confidence. In Portugal, the National Integrated Multiannual Control Plan (NIMCP) serves as a strategic framework for ensuring food safety and compliance with European Union food regulations. However, challenges persist in [...] Read more.
Food safety is a fundamental component of public health, economic stability, and consumer confidence. In Portugal, the National Integrated Multiannual Control Plan (NIMCP) serves as a strategic framework for ensuring food safety and compliance with European Union food regulations. However, challenges persist in policy implementation and enforcement, as well as in stakeholder engagement, which impact the effectiveness of food safety governance. This study employs a mixed-methods approach to assess stakeholder perceptions of the NIMCP, focusing on levels of compliance, barriers to its implementation, and potential improvement measures. A structured online survey was conducted with 217 stakeholders, including representatives of public institutions, private entities, associations, and consumer groups. The survey assessed the perceived importance of the NIMCP objectives and levels of compliance and identified barriers, such as a lack of communication between public entities, the dispersion of responsible agencies, and insufficient dissemination of information. The results indicate that stakeholders perceive a satisfactory level of compliance with the NIMCP objectives, especially in areas such as animal health and risk control. However, challenges persist in ensuring plant health and implementing official controls. Furthermore, stakeholders highlight systemic inefficiencies and resource constraints. The main barriers include fragmented governance structures, limited inter-agency collaboration, and insufficient professional training. Stakeholders proposed various improvement measures, emphasizing the need for better coordination, planning, and communication, including awareness campaigns for operators, the creation of an integrated IT network, and the development of training programs. The Analytical Hierarchy Process (AHP) revealed that risk control and consumer protection are top priorities for all stakeholder groups, while plant and animal health receive lower priority. The study concludes that while the NIMCP is generally perceived as effective, addressing systemic issues such as coordination, communication, and resource allocation is essential to improving food safety governance. Policymakers are encouraged to adopt a more structured and integrated approach to improve implementation of the NIMCP, ultimately strengthening public health protection and consumer confidence in the food supply chain. Full article
(This article belongs to the Section Food Quality and Safety)
21 pages, 2582 KiB  
Brief Report
Questionnaire-Based Survey Regarding the Rational Usage of Antimicrobial Agents in Food-Producing Animals in Romania
by Ionela Popa, Kalman Imre, Adriana Morar, Ionica Iancu, Vlad Iorgoni, Timea Bochiș, Călin Pop, Alexandru Gligor, Tiana Florea, Sebastian Alexandru Popa, Viorel Herman and Ileana Nichita
Vet. Sci. 2025, 12(5), 408; https://doi.org/10.3390/vetsci12050408 - 26 Apr 2025
Viewed by 206
Abstract
The annual rise in antimicrobial resistance (AMR) is a major public health concern. This Romanian questionnaire-based survey aimed to evaluate the appropriateness of routine antimicrobial use by veterinary practitioners in food-producing animals and to gauge their concerns about AMR. To gather data, an [...] Read more.
The annual rise in antimicrobial resistance (AMR) is a major public health concern. This Romanian questionnaire-based survey aimed to evaluate the appropriateness of routine antimicrobial use by veterinary practitioners in food-producing animals and to gauge their concerns about AMR. To gather data, an online questionnaire with 28 questions was developed and distributed nationwide to veterinarians via the Google Drive network and Google Forms. Despite this increased awareness, deviations in antimicrobial administration persist, often due to insufficient knowledge about AMR and the mechanisms of antimicrobial action. This study underscores the urgent need for prudent antimicrobial use in livestock production in Romania. Full article
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14 pages, 464 KiB  
Article
The Development and Reliability Testing of a Tool to Assess Women’s Perceptions and Avoidance of Endocrine Disruptors in Personal and Household Products
by Adrianna Trifunovski, Nooshin Khobzi Rotondi, Jennifer Abbass-Dick, Rola Al Ghali and Caroline Barakat
Environments 2025, 12(5), 138; https://doi.org/10.3390/environments12050138 - 25 Apr 2025
Viewed by 220
Abstract
Personal care and household products (PCHPs) often contain endocrine-disrupting chemicals (EDCs) that pose health risks, especially for women. Women, frequent users of PCHPs, are exposed to approximately 168 chemicals daily. However, there are gaps in understanding women’s knowledge, risk perceptions, and beliefs regarding [...] Read more.
Personal care and household products (PCHPs) often contain endocrine-disrupting chemicals (EDCs) that pose health risks, especially for women. Women, frequent users of PCHPs, are exposed to approximately 168 chemicals daily. However, there are gaps in understanding women’s knowledge, risk perceptions, and beliefs regarding these chemicals, as well as how these constructs influence their avoidance behavior. Existing questionnaires on EDCs in PCHPs lack reliability and comprehensiveness. Guided by the Health Belief Model, this study developed a self-administered questionnaire targeting four key constructs: knowledge, health risk perceptions, beliefs, and avoidance behaviors related to six EDCs commonly found in PCHPs (lead, parabens, Bisphenol A, phthalates, triclosan, and perchloroethylene). The questionnaire was distributed to 200 women at in-person events and online. The internal consistency of the constructs was tested using Cronbach’s alpha. The questionnaire included six items assessing knowledge, seven items on risk perceptions, five items on beliefs, and six items on avoidance behavior for each endocrine-disrupting chemical. Cronbach’s alpha values indicated strong reliability across all constructs. This newly developed questionnaire offers a reliable tool for assessing women’s knowledge, risk perceptions, beliefs, and behaviors toward EDCs in PCHPs. These findings could inform public health research and intervention strategies aimed at reducing women’s exposure to EDCs. Full article
(This article belongs to the Special Issue Environmental Pollution Risk Assessment)
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13 pages, 194 KiB  
Article
Access to Third Places: Key Determinants of Physical and Social Well-Being in Older Adults
by Chia-Yuan Yu
Urban Sci. 2025, 9(5), 141; https://doi.org/10.3390/urbansci9050141 - 25 Apr 2025
Viewed by 191
Abstract
This study aimed to examine how access to and engagement with third places influence leisure-time physical activity and social capital among older adults. This study analyzed data from an online survey of 638 older adults aged 65 and above residing in Orlando, Florida, [...] Read more.
This study aimed to examine how access to and engagement with third places influence leisure-time physical activity and social capital among older adults. This study analyzed data from an online survey of 638 older adults aged 65 and above residing in Orlando, Florida, recruited through community collaborations, social media campaigns, and public outreach. Ordinary Least Squares (OLS) regression was used to examine the relationships between third-place accessibility, perceived built environments, and the dependent variables of leisure-time physical activity and social capital. A greater distance to the nearest third place was negatively associated with leisure-time physical activity, but not with social capital. The availability of third places within walking distance and the ease of walking access to third places positively influenced both outcomes. Engagement with third places was a significant factor for both leisure-time physical activity and social capital. Additionally, the availability and condition of sidewalks were significantly linked to leisure-time physical activity but showed no relationship with social capital. This study underscores the importance of third places in promoting leisure-time physical activity and social capital among older adults. The findings inform the design of age-friendly environments that support active lifestyles and foster social engagement. Full article
13 pages, 409 KiB  
Article
Supplement Use Among Athletes: Insights from Gyms in Sarajevo
by Denis Čaušević, Cristina Ioana Alexe, Nedim Čović, Elena Adelina Panaet, Ensar Abazović, Raul Marian Todor, Babina Rani, Gabriel Lupu and Dan Iulian Alexe
Appl. Sci. 2025, 15(9), 4747; https://doi.org/10.3390/app15094747 - 24 Apr 2025
Viewed by 212
Abstract
This study aimed to examine the habits, attitudes, and consumption patterns of food supplements (FS) among gym users in Sarajevo, Bosnia and Herzegovina, with respect to gender, age, and training experience. Understanding these behaviors is essential given the rising global trend in FS [...] Read more.
This study aimed to examine the habits, attitudes, and consumption patterns of food supplements (FS) among gym users in Sarajevo, Bosnia and Herzegovina, with respect to gender, age, and training experience. Understanding these behaviors is essential given the rising global trend in FS use, often without professional guidance, which can have implications for individual health and public awareness. By investigating local patterns, this study seeks to provide valuable insights into the motivations and risks associated with supplement consumption, contributing to evidence-based recommendations and policy-making in the field of fitness and nutrition. Methods: Cross-sectional data were collected from various fitness centers using an online questionnaire composed of 21 questions divided into three segments. A total of 614 participants (mean ± SD: 32.77 ± 9.82 years), including both male (67.8%) and female (32.2%) gym users, took part in the study. Results: Participants predominantly belonged to the 36–45 age group, with 70.0% (p < 0.001) reporting more than one year of regular gym attendance, and 40.4% indicating regular FS consumption (p < 0.05). Supplements were mainly used to support faster recovery (29.1%, p < 0.05) and muscle growth (25%, p < 0.05). Magnesium was the most commonly used supplement, equally favored across genders and age groups. Creatine, fish oil capsules, and multivitamins were also frequently consumed (p < 0.05). Self-prescription emerged as the predominant method of FS use (40.3%, p < 0.05), followed by advice from gym coaches (21.8%), with only 5.6% of participants receiving guidance from a nutritionist. Conclusions: The findings highlight a societal trend toward self-directed FS use, often influenced by informal sources, underscoring the importance of further research and the development of targeted, evidence-based educational strategies. Males reported higher FS consumption, with younger users more focused on muscle gain and older individuals prioritizing health maintenance. The reliance on non-expert recommendations raises concerns about the safety and effectiveness of FS usage in the fitness community. Full article
(This article belongs to the Special Issue Supplements for Health and Sports Performance)
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25 pages, 1964 KiB  
Article
Hate Speech Detection and Online Public Opinion Regulation Using Support Vector Machine Algorithm: Application and Impact on Social Media
by Siyuan Li and Zhi Li
Information 2025, 16(5), 344; https://doi.org/10.3390/info16050344 - 24 Apr 2025
Viewed by 242
Abstract
Detecting hate speech in social media is challenging due to its rarity, high-dimensional complexity, and implicit expression via sarcasm or spelling variations, rendering linear models ineffective. In this study, the SVM (Support Vector Machine) algorithm is used to map text features from low-dimensional [...] Read more.
Detecting hate speech in social media is challenging due to its rarity, high-dimensional complexity, and implicit expression via sarcasm or spelling variations, rendering linear models ineffective. In this study, the SVM (Support Vector Machine) algorithm is used to map text features from low-dimensional to high-dimensional space using kernel function techniques to meet complex nonlinear classification challenges. By maximizing the category interval to locate the optimal hyperplane and combining nuclear techniques to implicitly adjust the data distribution, the classification accuracy of hate speech detection is significantly improved. Data collection leverages social media APIs (Application Programming Interface) and customized crawlers with OAuth2.0 authentication and keyword filtering, ensuring relevance. Regular expressions validate data integrity, followed by preprocessing steps such as denoising, stop-word removal, and spelling correction. Word embeddings are generated using Word2Vec’s Skip-gram model, combined with TF-IDF (Term Frequency–Inverse Document Frequency) weighting to capture contextual semantics. A multi-level feature extraction framework integrates sentiment analysis via lexicon-based methods and BERT for advanced sentiment recognition. Experimental evaluations on two datasets demonstrate the SVM model’s effectiveness, achieving accuracies of 90.42% and 92.84%, recall rates of 88.06% and 90.79%, and average inference times of 3.71 ms and 2.96 ms. These results highlight the model’s ability to detect implicit hate speech accurately and efficiently, supporting real-time monitoring. This research contributes to creating a safer online environment by advancing hate speech detection methodologies. Full article
(This article belongs to the Special Issue Information Technology in Society)
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19 pages, 286 KiB  
Article
Associations Between Mediterranean Diet, Processed Food Consumption, and Symptoms of Anxiety and Depression: Cross-Sectional Study Among Israeli Adults
by Nourit Houminer-Klepar and Keren Dopelt
Foods 2025, 14(9), 1485; https://doi.org/10.3390/foods14091485 - 24 Apr 2025
Viewed by 304
Abstract
Introduction: Mental health disorders, particularly anxiety and depression, contribute significantly to the global disease burden. Growing evidence suggests that dietary patterns play a crucial role in mental health outcomes. Objectives: This cross-sectional study examines the associations between adherence to a Mediterranean diet, processed [...] Read more.
Introduction: Mental health disorders, particularly anxiety and depression, contribute significantly to the global disease burden. Growing evidence suggests that dietary patterns play a crucial role in mental health outcomes. Objectives: This cross-sectional study examines the associations between adherence to a Mediterranean diet, processed food consumption, and symptoms of anxiety and depression among Israeli adults. Additionally, it investigates whether sleep quality mediates these relationships. Methods: A total of 303 participants completed an online survey assessing demographic variables, health-related behaviors, dietary patterns, sleep quality and duration, and mental health indicators. Results: Pearson correlations revealed significant associations between dietary patterns and mental health symptoms. Higher Mediterranean diet adherence was associated with lower anxiety and depression scores, whereas greater processed food consumption was linked to increased psychological distress. Hierarchical regression analyses showed that dietary patterns significantly predicted anxiety and depression symptoms, even after controlling for demographic and health-related factors. However, sleep quality did not mediate these relationships, suggesting independent effects of diet and sleep on mental health. Conclusions: These findings highlight the potential of dietary modifications as a complementary approach to mental health management, though generalizability is limited by our predominantly female, Jewish Israeli sample studied during a period of conflict. Integrating nutritional assessments into mental health care could enhance treatment strategies. Future research should explore longitudinal and interventional approaches to establish causal relationships between diet quality and mental health outcomes. This study highlights the clinical and public health relevance of dietary assessment in mental health evaluations and supports the development of integrated, nutrition-informed interventions to enhance psychological well-being. Full article
25 pages, 7765 KiB  
Article
A Novel Swin-Transformer with Multi-Source Information Fusion for Online Cross-Domain Bearing RUL Prediction
by Zaimi Xie, Chunmei Mo and Baozhu Jia
J. Mar. Sci. Eng. 2025, 13(5), 842; https://doi.org/10.3390/jmse13050842 - 24 Apr 2025
Viewed by 211
Abstract
Accurate remaining useful life (RUL) prediction of rolling bearings plays a critical role in predictive maintenance. However, existing methods face challenges in extracting and fusing multi-source spatiotemporal features, addressing distribution differences between intra-domain and inter-domain features, and balancing global-local feature attention. To overcome [...] Read more.
Accurate remaining useful life (RUL) prediction of rolling bearings plays a critical role in predictive maintenance. However, existing methods face challenges in extracting and fusing multi-source spatiotemporal features, addressing distribution differences between intra-domain and inter-domain features, and balancing global-local feature attention. To overcome these limitations, this paper proposes an online cross-domain RUL prediction method based on a swin-transformer with multi-source information fusion. The method uses a Bidirectional Long Short-Term Memory (Bi-LSTM) network to capture temporal features, which are transformed into 2D images using Gramian Angular Fields (GAF) for spatial feature extraction by a 2D Convolutional Neural Network (CNN). A self-attention mechanism further integrates multi-source features, while an adversarial Multi-Kernel Maximum Mean Discrepancy (MK-MMD) combined with a relational network mitigates feature distribution differences across domains. Additionally, an offline-online swin-transformer with a dynamic weight updating strategy enhances cross-domain feature learning. Experimental results demonstrate that the proposed method significantly reduces Root Mean Square Error (RMSE) and Mean Absolute Error (MAE), outperforming public methods in prediction accuracy and robustness. Full article
(This article belongs to the Special Issue Ship Wireless Sensor)
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24 pages, 4056 KiB  
Article
Unveiling the Ultimate Meme Recipe: Image Embeddings for Identifying Top Meme Templates from r/Memes
by Jan Sawicki
J. Imaging 2025, 11(5), 132; https://doi.org/10.3390/jimaging11050132 - 23 Apr 2025
Viewed by 330
Abstract
Meme analysis, particularly identifying top meme templates, is crucial for understanding digital culture, communication trends, and the spread of online humor, as memes serve as units of cultural transmission that shape public discourse. Tracking popular templates enables researchers to examine their role in [...] Read more.
Meme analysis, particularly identifying top meme templates, is crucial for understanding digital culture, communication trends, and the spread of online humor, as memes serve as units of cultural transmission that shape public discourse. Tracking popular templates enables researchers to examine their role in social engagement, ideological framing, and viral dynamics within digital ecosystems. This study explored the viral nature of memes by analyzing a large dataset of over 1.5 million meme submissions from Reddit’s r/memes subreddit, spanning from January 2021 to July 2024. The focus was on uncovering the most popular meme templates by applying advanced image processing techniques. Apart from building an overall understanding of the memesphere, the main contribution was a selection of top meme templates providing a recipe for the best meme template for the meme creators (memesters). Using Vision Transformer (ViT) models, visual features of memes were analyzed without the influence of text, and memes were grouped into 1000 clusters that represented distinct templates. By combining image captioning and keyword extraction methods, key characteristics of the templates were identified, highlighting those with the most visual consistency. A deeper examination of the most popular memes revealed that factors like timing, cultural relevance, and references to current events played a significant role in their virality. Although user identity had limited influence on meme success, a closer look at contributors revealed an interesting pattern of a bot account and two prominent users. Ultimately, the study pinpointed the ten most popular meme templates, many of which were based on pop culture, offering insights into what makes a meme likely to go viral in today’s digital culture. Full article
(This article belongs to the Section Image and Video Processing)
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13 pages, 862 KiB  
Article
Sustainable Public Health Policies: Understanding Influenza Vaccination Uptake Among College Students in a Changing Society
by Keren Dopelt
World 2025, 6(2), 53; https://doi.org/10.3390/world6020053 - 22 Apr 2025
Viewed by 238
Abstract
Influenza poses a significant public health threat, causing millions of severe cases and hundreds of thousands of deaths annually. Vaccination remains the most effective measure to reduce transmission, complications, and the strain on healthcare systems. Despite its importance, vaccination uptake remains suboptimal among [...] Read more.
Influenza poses a significant public health threat, causing millions of severe cases and hundreds of thousands of deaths annually. Vaccination remains the most effective measure to reduce transmission, complications, and the strain on healthcare systems. Despite its importance, vaccination uptake remains suboptimal among college students, a key population for infectious disease transmission and a target group for public health interventions. The primary objective of this study was to examine the psychological and contextual determinants of influenza vaccination among college students in Israel, utilizing the Theory of Planned Behavior (TPB) as the guiding framework. A cross-sectional online survey was conducted among 591 students at Ashkelon Academic College between April and May 2023. The questionnaire included validated items assessing attitudes toward vaccination, subjective norms, perceived behavioral control, and vaccination history. Hierarchical logistic regression was used to assess the predictive power of these variables in explaining actual vaccination behavior. The results indicated that prior vaccination was the strongest predictor of current influenza vaccine uptake (OR = 38.7, p < 0.001). Positive attitudes (e.g., belief in vaccine protection), strong social influences (e.g., parental vaccination behavior and trust in healthcare professionals), and high perceived behavioral control (e.g., accessibility and convenience) were all significantly associated with increased vaccination likelihood. The final model explained 68% of the variance in vaccination behavior (Nagelkerke R2 = 0.68, p < 0.001). These findings affirm the TPB as a robust framework for understanding vaccination behavior and underscore the importance of habitual vaccination, public trust, and systemic accessibility. The study contributes to the field by illustrating how national healthcare infrastructure interacts with individual-level beliefs to shape preventive health actions. Practical applications include the development of targeted interventions to promote first-time vaccination, address vaccine safety concerns, and leverage trusted social networks. Future research should investigate how digital communication, policy variation, and sociocultural context influence the components of the TPB across diverse populations. Full article
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16 pages, 420 KiB  
Article
Exploring the Nexus of Token Acts of Online Support, Compassion, and Behavioral Intentions Toward Immigrants from Ukraine and Russia
by Nonna Kushnirovich and Sabina Lissitsa
Behav. Sci. 2025, 15(5), 564; https://doi.org/10.3390/bs15050564 - 22 Apr 2025
Viewed by 394
Abstract
This study investigates the relationship between public token acts of online support and prosocial behavioral intentions, shedding light on the potential mediating influences that contribute to this intricate interplay. It focuses on the determinants of prosocial behavioral intentions toward three specific groups of [...] Read more.
This study investigates the relationship between public token acts of online support and prosocial behavioral intentions, shedding light on the potential mediating influences that contribute to this intricate interplay. It focuses on the determinants of prosocial behavioral intentions toward three specific groups of immigrants who came to Israel after Russia’s invasion of Ukraine in 2022: asylum seekers from Ukraine, immigrant citizens repatriated from Ukraine, and immigrant citizens repatriated from Russia. The data were collected via a survey of 847 social media users in Israel. This study revealed that the higher the frequency of token acts of online support for prosocial content in social media, the higher perspective-taking and emotional concerns were reported by respondents. High emotional concern, in turn, was associated with higher prosocial behavioral intentions. Summing up, the more actively people engage with prosocial content on social media, the higher their prosocial behavioral intentions are. Full article
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12 pages, 531 KiB  
Article
The Rising Tide: Disparities in Fentanyl-Related Mortality Among Hispanic and Non-Hispanic Adolescents and Young Adults in the United States
by Paige Brinzo, Adrienne Dean, Ayden Dunn, Diana Lobaina, Sebastian Densley, Panagiota Kitsantas, Maria Carmenza Mejia and Lea Sacca
Youth 2025, 5(2), 39; https://doi.org/10.3390/youth5020039 - 22 Apr 2025
Viewed by 181
Abstract
Objectives: The United States has been greatly impacted by the opioid overdose epidemic, and fentanyl has largely contributed to the rise in overdose deaths in the past decade. We have analyzed trends in fentanyl-related mortality amongst adolescents and young adults (AYAs) to further [...] Read more.
Objectives: The United States has been greatly impacted by the opioid overdose epidemic, and fentanyl has largely contributed to the rise in overdose deaths in the past decade. We have analyzed trends in fentanyl-related mortality amongst adolescents and young adults (AYAs) to further describe emerging trends by ethnicity, gender, and age. Methods: We used mortality data from the U.S. Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (WONDER) Multiple Cause of Death file from 2009 to 2022. Drug overdose mortalities were identified using International Classification of Diseases, Tenth Revision (ICD-10) codes. Joinpoint regression was used to examine mortality rates involving fentanyl by ethnicity (Hispanic and non-Hispanic), gender, and age category. Results: The Average Annual Percent Change (AAPC) for fentanyl-involved mortality increased for all adolescents and young adults within the United States from 2009 to 2022. The greatest AAPCs for fentanyl-related mortalities occurred amongst, Hispanic AYAs, Male AYAs, and 13–18-year-olds. Conclusions: Significant increases in fentanyl-related mortalities have occurred in AYAs from 2009 to 2022. Disparities by ethnicity and emerging trends in gender and age category highlight the need for targeted approaches to help aid in reducing fentanyl-involved mortality amongst AYAs. There is an urgent need for harm reduction and public health efforts to address this escalating crisis. Full article
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11 pages, 941 KiB  
Article
Cochlear Implantation in the United Arab Emirates: Otolaryngologists’ Knowledge, Attitudes, and Practices
by Muhammed Ayas, Ahmad Al Amadi, Ahmad Al Shamsi, Jameel Muzaffar and Manohar Bance
Audiol. Res. 2025, 15(2), 44; https://doi.org/10.3390/audiolres15020044 - 21 Apr 2025
Viewed by 204
Abstract
Background: Cochlear implants (CIs) are the gold standard intervention for severe-to-profound sensorineural hearing loss. Their success depends not only on technological advancements but also on the knowledge, attitudes, and practices (KAP) of otolaryngologists responsible for patient selection, counselling, and postoperative management. Objective: This [...] Read more.
Background: Cochlear implants (CIs) are the gold standard intervention for severe-to-profound sensorineural hearing loss. Their success depends not only on technological advancements but also on the knowledge, attitudes, and practices (KAP) of otolaryngologists responsible for patient selection, counselling, and postoperative management. Objective: This study aimed to evaluate the KAP of otolaryngologists in the UAE towards CIs, identify gaps in training and decision-making, and assess adherence to global CI protocols. Methods: A cross-sectional study was conducted using a self-administered online questionnaire distributed to otolaryngologists across public and private healthcare institutions in the UAE. The survey assessed demographics, clinical knowledge, attitudes towards CIs, and clinical practices. Descriptive and inferential statistical analyses were performed to assess the relationships among knowledge levels, referral frequency, and institutional factors. Results: A total of 31 otolaryngologists participated. While 74% demonstrated moderate-to-high knowledge of CIs, 39% had low awareness of national guidelines. Most (61%) strongly supported CI integration into treatment protocols, but financial and institutional barriers were frequently cited as challenges. Knowledge levels significantly correlated with referral frequency (p < 0.001), indicating a gap between awareness and practice. Conclusions: This is the first study in the UAE assessing otolaryngologists’ KAP regarding CIs. Despite favourable attitudes, limited guideline awareness, financial barriers, and inconsistent multidisciplinary collaboration remain challenges. Targeted clinician education, standardised CI guidelines aligned with international benchmarks, and improved funding mechanisms are essential to enhance CI accessibility and optimise patient outcomes in the region. Full article
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