Search Results (347)

The Santurbán paramo is a sensitive high-mountain ecosystem exposed to pressures from extractive and agricultural activities, as well as increasing tourism. In response, this study presents a context-aware recommendation system designed to support sustainable tourism through the integration of deep neural networks and ontology-based semantic modeling. The proposed system delivers personalized recommendations—such as activities, accommodations, and ecological routes—by processing user preferences, geolocation data, and contextual features, including cost and popularity. The architecture combines a trained TensorFlow Lite model with a domain ontology enriched with GeoSPARQL for geospatial reasoning. All inference operations are conducted locally on Android devices, supported by SQLite for offline data storage, which ensures functionality in connectivity-restricted environments and preserves user privacy. Additionally, the system employs geofencing to trigger real-time environmental notifications when users approach ecologically sensitive zones, promoting responsible behavior and biodiversity awareness. By incorporating structured semantic knowledge with adaptive machine learning, the system enables low-latency, personalized, and conservation-oriented recommendations. This approach contributes to the sustainable management of natural reserves by aligning individual tourism experiences with ecological protection objectives, particularly in remote areas like the Santurbán paramo. Full article

Background: Breast cancer remains a major public health challenge in Latin America, where access to personalized risk assessment tools is still limited. This study aimed to evaluate the implementation of a polygenic risk score (PRS)-based stratification model combined with remote genomic counseling in Colombian women with sporadic breast cancer and healthy women. Methods: In 2023, an embedded mixed-methods observational study was conducted in Medellín involving 1997 women aged 40–75 years who underwent clinical PRS testing. The intervention integrated PRS-based risk categorization with individualized risk factor assessment and lifestyle recommendations delivered through a remote counseling platform. Results: PRS analysis classified 9.7% of women as high risk and 46% as low risk. Healthier lifestyle patterns were significantly associated with lower PRS categories (p = 0.034). Physical activity showed a protective effect (OR = 0.60, 95% CI: 0.5–0.8), while prior smoking, elevated BMI, and sedentary behavior were associated with higher risk. The counseling model achieved high delivery (93%) and satisfaction (85%) rates. Qualitative insights revealed improved understanding of genomic risk and greater engagement in preventive behaviors. Only one new case of breast cancer was detected among intermediate-risk participants, with a diagnostic lead time of 12 months. Conclusions: These findings support the feasibility, acceptability, and potential impact of integrating PRS and genomic counseling in cancer prevention strategies in middle-income settings. Full article

Extreme heat poses growing health risks in tropical regions, yet public perception of this threat remains understudied in the Caribbean. This study examines how residents in Puerto Rico perceived heat-related health risks and how these perceptions relate to vulnerability and protective behaviors during the extreme heat events of the summer of 2020. We conducted a cross-sectional telephone survey of 500 adults across metropolitan and non-metropolitan areas of Puerto Rico, using stratified probability sampling. The questionnaire assessed heat risk perception, sociodemographic characteristics, health status, prior heat exposure, and heat-related behaviors. While most participants expressed concern about climate change and high temperatures, fewer than half perceived heat as a high level of personal health risk. Higher levels of risk perception were significantly associated with being male, aged 50–64, unemployed, and in fair health, having multiple chronic conditions, and prior experience with heat-related symptoms. Those with symptoms were nearly five times more likely to report high levels of risk perception (OR = 4.94, 95% CI: 2.93–8.34). In contrast, older adults (65+), despite their higher level of vulnerability, reported lower levels of risk perception and fewer symptoms. Nighttime heat exposure was widespread and strongly associated with heat-related symptoms. Common coping strategies included the use of fans and air conditioning, though economic constraints and infrastructure instability limited access. The findings highlight the disparity between actual and perceived vulnerability, particularly among older adults. Public health strategies should focus on risk communication tailored to vulnerable groups and address barriers to heat adaptation. Strengthening heat resilience in Puerto Rico requires improved infrastructure, equitable access to cooling, and targeted outreach. Full article

Exercise addiction (EA) is a maladaptive behavior characterized by excessive physical activity, often linked to negative psychological outcomes. This study investigated the relationships between perfectionism, sport commitment, and EA in a sample of 219 Hungarian athletes (M = 22.19 years). Using path analysis, we tested a model hypothesizing that adaptive and maladaptive perfectionism differentially predict enthusiastic and constrained commitment, which in turn influences EA. Our results showed that maladaptive perfectionism positively predicted constrained commitment (β = 0.70) and EA (β = 0.63), while negatively relating to enthusiastic commitment (β = −0.17). Conversely, adaptive perfectionism was positively associated with enthusiastic commitment (β = 0.24) and negatively with constrained commitment (β = −0.12). Moreover, enthusiastic commitment positively predicted EA (β = 0.24). We found a significant indirect effect between adaptive and maladaptive perfectionism when controlling for enthusiastic commitment, suggesting its dual role in this context. Our study suggests that enthusiastic commitment serves as a source of exercise addiction (EA) and has a dual role, acting as both a protective factor and a risk factor for it. Additionally, we found that maladaptive perfectionism is associated with higher levels of constrained commitment and EA, while correlating with lower levels of enthusiastic commitment. Conversely, adaptive perfectionism increases enthusiastic commitment and decreases constrained commitment. These findings highlight the associations between motivational and personality factors in EA, indicating that even adaptive traits can contribute to unhealthy exercise patterns in athletic environments. Full article

Background: Sleep is a fundamental component of health, and deprivation has been linked to numerous adverse outcomes, including reduced academic and occupational performance, greater risk of accidents, and increased susceptibility to chronic diseases and premature mortality. Dietary and lifestyle behaviors are increasingly recognized as key determinants of sleep quality. Women are particularly susceptible to sleep disturbances due to hormonal fluctuations and psychosocial factors. However, women remain underrepresented in sleep research. This study aims to examine the associations between sleep quality, nutrition, and lifestyle in a large cohort of Spanish women. Methods: A cross-sectional study was conducted with 785 women aged 18–64. Participants completed the Pittsburgh Sleep Quality Index (PSQI) and the NutSo-HH questionnaire on dietary and lifestyle behaviors. Descriptive analyses, correlation matrices, Gaussian Graphical Models, and Principal Component Analyses were used to assess relationships between variables. Results: More than half of the participants rated their sleep quality as good or very good, although over 30% experienced frequent nighttime awakenings. Poor sleep quality was significantly associated with higher alcohol consumption, lower vegetable and white fish intake, and lower levels of physical activity. Diets rich in ultra-processed foods correlated moderately with subjective poor sleep and daytime dysfunction. However, no strong associations were found between stimulant consumption, late meals, or dietary patterns (e.g., Mediterranean diet) and sleep. Self-perceived health emerged as a protective factor, while nocturnal lifestyles were linked to longer sleep latency and fragmented sleep. Conclusions: In adult women, better sleep quality is linked to healthy dietary choices, regular physical activity, and a positive perception of general health. In contrast, alcohol use and irregular lifestyles are associated with poor sleep. Individual variability and cultural adaptation may moderate the impact of some traditionally harmful behaviors. Personalized, multidimensional interventions are recommended for promoting sleep health in women. Full article

This study presents a system for automatic cookie collection using bots that simulate user browsing behavior. Five bots were deployed, one for each of the most commonly used university browsers, enabling comprehensive data collection across multiple platforms. The infrastructure included an Ubuntu server with PiHole and Tshark services, facilitating cookie classification and association with third-party advertising and tracking networks. The BotSoul algorithm automated navigation, analyzing 440,000 URLs over 10.9 days with uninterrupted bot operation. The collected data established relationships between visited domains, generated cookies, and captured traffic, providing a solid foundation for security and privacy analysis. Machine learning models were developed to classify suspicious web domains and predict their vulnerability to XSS attacks. Additionally, clustering algorithms enabled user segmentation based on cookie data, identification of behavioral patterns, enhanced personalized web recommendations, and browsing experience optimization. The results highlight the system’s effectiveness in detecting security threats and improving navigation through adaptive recommendations. This research marks a significant advancement in web security and privacy, laying the groundwork for future improvements in protecting user information. Full article

Introduction: This study investigates the relationship between occupational exposure to airborne phenol and its biological accumulation in chemical plant workers, with a particular focus on urinary phenol levels. It also explores the influence of job roles, employment duration, protective equipment use, and personal lifestyle habits on internal exposure. Methods: A cohort of bisphenol A (BPA) manufacturing workers was classified based on job tasks and exposure characteristics. Airborne phenol concentrations were measured using standard occupational hygiene methods, and urinary phenol levels were analyzed before and after work shifts. Statistical analyses examined associations between phenol exposure and occupational and behavioral variables. Results: Urinary phenol levels significantly increased after work shifts, particularly among workers involved in cleaning tasks. A strong correlation was observed between airborne phenol concentrations and urinary levels, indicating that even low-level environmental exposure can result in measurable biological accumulation. Notably, workers who did not use personal protective equipment or who reported smoking showed higher internal phenol burdens. Conclusions: This study highlights the importance of integrating biological monitoring with conventional exposure assessments in phenol-handling workplaces. Effective exposure control should include improved ventilation, strict compliance with personal protective equipment use, and health education programs that address modifiable lifestyle factors such as smoking. These findings underscore the need for comprehensive strategies to reduce occupational health risks associated with phenol exposure. Full article

Insider threats pose significant challenges to organizations, seriously endangering information security and privacy protection. These threats arise when employees with legitimate access to systems and databases misuse their privileges. Such individuals may alter, delete, or insert data into datasets, sell customer or client email addresses, leak strategic company plans, or transfer industrial and intellectual property information. These actions can severely damage a company’s reputation, result in revenue losses and loss of competitive advantage, and, in extreme cases, lead to bankruptcy. This study presents a novel solution that examines how organizational factors such as job satisfaction and security, organizational support, attachment, commitment, involvement in information security, and organizational norms influence employees’ attitudes and intentions, thereby mitigating insider threats. A key strength of this research is its integration of two foundational theories: the Social Bond Theory (SBT) and the Theory of Planned Behavior (TPB). The results reveal that job satisfaction and security, affective and normative commitment, information security training, and personal norms all contribute to reducing insider threats. Furthermore, the findings indicate that employees’ attitudes, perceived behavioral control, and subjective norms significantly influence their intentions to mitigate insider threats. However, organizational support and continuance commitment were not found to have a significant impact. Full article

Glial cells exhibit multifaceted functions and represent essential contributors to various physiological processes in the brain, rather than just being silent supportive cells to neurons. Different glial populations of the central nervous system within involved brain regions play various functions, express different proteins, and result in fluctuating effects when altered. Glial cell pathologies were detected in most mental disorders including suicidal behavior. Suicidal behavior represents a health problem of high importance worldwide, where protective measures are required to be taken at many levels. Studies on patients with mental disorders that represent risk factors for suicidal behavior revealed multiple changes in the glia at diverse levels, including variations regarding the expressed glial markers. This review summarizes the role of glia in some psychiatric disorders and highlights the crosslink between changes at the level of glial cells and development of suicidal behavior in patients with an underlying psychiatric condition; in addition, the interplay and interconnection between suicidal behavior and other mental diseases will shed light on the routes of personalized therapy involving the development of glia-related drugs. Full article

Background/Objectives: Preschool children from low-income, ethnically diverse communities face disproportionate rates of behavioral challenges and early expulsion from early care and education (ECE) programs. This study evaluated the efficacy, feasibility, and utility of Jump Start on the Go (JS Go), a bilingual, AI-enabled mobile application. JS Go is designed to deliver a 14-week early childhood mental health consultation model in under-resourced ECE settings. Methods: This mixed-methods study compared JS Go to the standard in-person Jump Start (JS) program. Participants included 28 teachers and 114 children from six centers (three JS Go, three JS). Quantitative measures assessed teacher classroom practices and child psychosocial outcomes at baseline and post-intervention. App usability and acceptability were only evaluated post-intervention. Seven semi-structured interviews were conducted post-intervention with JS Go directors/teachers to assess the app’s feasibility for implementing the four program pillars: safety, behavior support, self-care, and communication. Results: JS Go was more effective than JS in promoting teacher classroom practices related to behavior support and resiliency. Both programs were similar in improving children’s protective factors and reducing internalizing behaviors, with consistent effects across English and Spanish-speaking children. Teachers rated the JS Go app with high acceptability, though predicted future usage showed greater variability. Rapid qualitative analysis showed that participants found the app easy to use, frequently accessed its resources, and considered it helpful for reinforcing key strategies across the four program pillars. Conclusions: JS Go is a novel approach to providing mental health consultation. It represents a promising mobile adaptation of the established JS consultation model, with important implications for future practice and research. Full article

Background/Objectives: Child abuse is a pervasive global issue with significant implications for the physical, emotional, and psychological well-being of victims. This review highlights the clinical, molecular, and therapeutic dimensions of child abuse, emphasizing its long-term impact and the need for interdisciplinary approaches. Early exposure to abuse activates the hypothalamic-pituitary-adrenal (HPA) axis, leading to chronic cortisol release and subsequent neuroplastic changes in brain regions such as the hippocampus, amygdala, and prefrontal cortex. These molecular alterations, including epigenetic modifications and inflammatory responses, contribute to the heightened risk of psychiatric disorders and chronic illnesses in survivors. Clinically, child abuse presents with diverse manifestations ranging from physical injuries to psychological and developmental disorders, making timely diagnosis challenging. Methods: A multidisciplinary approach involving thorough clinical evaluation, detailed histories, and collaboration with child protection services is essential for accurate diagnosis and effective intervention. Results: Recent advances in molecular biology have identified biomarkers, such as stress-related hormones and epigenetic changes, which provide novel insights into the physiological impact of abuse and potential targets for therapeutic intervention. Current treatment strategies prioritize the child’s safety, psychological well-being, and prevention of further abuse. Trauma-focused cognitive behavioral therapy and family-centered interventions are pivotal in promoting recovery and resilience. Conclusions: Emerging research focuses on integrating molecular findings with clinical practice, utilizing digital health tools, and leveraging big data to develop predictive models and personalized treatments. Interdisciplinary collaboration remains crucial to translating research into policy and practice, ultimately aiming to mitigate the impact of child abuse and improve outcomes for survivors. Full article

The issue of environmental protection and nature conservation has gained global importance, and its solution requires not only scientific and technological efforts but also the education of an environmentally conscious and active young generation. Children’s literature serves as an effective means for this task. The article analyzes the eco-pedagogical potential of contemporary Ukrainian children’s literature through the prism of young eco-rebels. These characters inspire readers with their emotional power, eco-centric worldview, and bold resistance to environmental injustice. They contribute to the formation of ecological values in readers through emotional impact. Based on the ecocritical interpretation and typological comparison of Ghosts of Black Oak Wood by Bachynskyi and Taming of Kychera by Polyanko, we observe that the components of representation of the ecological topic are problematic eco-situation; behavior models, young eco-rebels’ actions and deeds; and eco-initiatives. The article further presents the results of ecocritical dialogues on environmental topics with 26 readers aged 14–15 (Ukraine). The methodology included interactive tools (e.g., Padlet) and surveys, which revealed that literary engagement promoted critical thinking, empathy, and personal eco-involvement. The findings confirm that children’s literature, when integrated with dialogic and participatory teaching methods, can serve as a powerful tool for shaping environmental literacy and civic responsibility in youth. Full article

Technological advancements in algorithmic personalization are widely believed to influence user behavior on online gambling platforms. This study explores how such developments, potentially including AI-driven mechanisms, may affect cognitive and motivational processes, especially in relation to risk perception, decision-making, and betting persistence. Using ordinary least squares (OLS) and panel regression models applied to behavioral data from a gambling platform, we examine patterns that are consistent with increased personalization between two distinct time periods, 2016 and 2021. The datasets do not contain any direct metadata regarding AI interventions. However, we interpret changes in user behavior over time as indicative of evolving personalization dynamics within a broader technological and contextual landscape. Accordingly, our conclusions about algorithmic personalization are inferential and exploratory, drawn from temporal comparisons between 2016 and 2021. Our findings show that users receiving personalized bonuses or making early cash-out decisions tend to adjust their stake sizes and betting frequency in systematic ways, which may reflect indirect effects of technological reinforcement strategies. These behavioral patterns raise important ethical and regulatory questions, particularly regarding user autonomy, algorithmic transparency, and the protection of at-risk users. This research contributes to the literature on digital behavior influencing gambling by framing the analysis as observational and quasi-experimental and suggests that further studies use experimental and log-level data to more specifically analyze the algorithmic effects. However, no causal claims can be made about AI influence as the temporal contradictions are interpreted as broad phenomena of technological developments, since they are not measured as algorithmic interventions. Further studies should also investigate the development of predictive models aimed at countering gambling addiction; evaluate the long-term ethical implications of algorithmic personalization; and discuss potential solutions codeveloped to foster a responsible gambling climate. Full article

Antioxidants neutralize reactive oxygen species and free radicals, protecting cells from oxidative damage and maintaining cellular homeostasis. In cancer therapy, they play a complex dual role, serving as protective agents against oxidative stress while, under certain conditions, acting as pro-oxidants that may promote tumorigenesis and resistance to treatment. Redox regulation is governed by key antioxidant pathways, such as the BACH1 and NRF2 pathways, along with transcriptional factors that significantly affect cancer progression and immunotherapy response. In addition to their intracellular effects, antioxidants modulate the tumor microenvironment, including interactions with the extracellular matrix, which impact cancer cell behavior and therapeutic responses. This review also explores preclinical studies that investigate the roles of major antioxidants in cancer biology. While these studies present promising data, significant challenges persist, including the potential for antioxidants to interfere with standard cancer treatments or to inadvertently support tumor survival. We further highlight emerging strategies aimed at optimizing antioxidant therapy, including personalized medicine approaches, nanoparticle-based delivery systems, and combination treatments with immunotherapies and targeted therapies. By examining the therapeutic potential and associated risks of antioxidants, this review provides critical insights into their role in cancer treatment and offers a roadmap for advancing antioxidant-based strategies to improve clinical outcomes. Full article

Evidence highlights the association between endocrine-disrupting chemicals (EDCs) found in personal care and household products (PCHPs) and adverse reproductive and developmental health outcomes. Women are disproportionately at risk due to frequent use of PCHPs, encountering a variety of different chemicals daily. Despite known health risks, existing policies often fail to provide adequate protection, with gaps remaining in understanding women’s knowledge, risk perceptions, and beliefs about EDCSs in PCHP, as well as how these influence avoidance behaviours. This study examines women’s knowledge, health risk perceptions, beliefs, and avoidance behaviors regarding EDCs commonly found in PCHPs, including bisphenol A, lead, parabens, phthalates, perchloroethylene, and triclosan. Guided by the Health Belief Model, a questionnaire was administered to 200 women in the preconception and conception periods in Toronto, Canada. Analyses revealed that lead and parabens were the most recognized EDCs, while triclosan and perchloroethylene were the least known. Greater knowledge of lead, parabens, bisphenol A, and phthalates significantly predicted chemical avoidance in PCHPs. Higher risk perceptions of parabens and phthalates also predicted greater avoidance. Women with higher education and chemical sensitivities were more likely to avoid lead. These findings support the need for targeted education to improve awareness to reduce EDC exposure—especially among women. Full article