Search Results (4,583)

Objective: The objective of this study was to assess clinical-functional vulnerability (CFV) and associated factors in community-dwelling older adults treated in primary care. Methods: A cross-sectional study was conducted with non-institutionalized elderly individuals ≥60 years randomly selected from five Health Units in Jundiaí/SP, Brazil, in 2023. Sociodemographic data, health behaviors, and data on oral health (number of teeth; chewing: good/fair/poor), cognitive function (10-CS), nutritional status (MNA), health literacy (HLS-14), sarcopenia (SARC-F+CC) and frailty (IVCF-20) were collected. Descriptive and bivariate analyses between the outcome (CFV) and the independent variables were performed using the chi-squared test and binary logistic regression models (p < 0.05). Results: A total of 211 older adults participated in this study; 72% were female and the mean age was 70.41 years (±7.45). Regarding CFV, a high risk was identified in 9.5% of the participants (n = 19), a moderate risk in 34.6% (n = 73), and a low risk in 55.9% (n = 118). After adjusting the regression model, the following variables were associated with CFV: lower income (OR = 1.90; 95%CI: 1.02–3.55), poor (OR = 5.18; 95%CI: 2.13–12.63) and fair (OR = 2.36; 95%CI: 1.10–5.05) chewing, risk of malnutrition or malnourished (OR = 2.36; 95%CI: 1.23–5.52), and low literacy (OR = 1.86; 95%CI: 1.09–3.45). Conclusion: Socioeconomic factors, nutritional status (underweight or malnourished), poor or fair chewing, and low health literacy were associated with CFV among older people. Strengthening primary health care through targeted interventions may help prevent frailty or delay its progression. Understanding the predictors of frailty can guide health professionals, managers, and researchers in designing preventive and health promotion strategies, as well as public policies within Primary Health Care. Full article

Background: Pancreatic neuroendocrine neoplasia (PanNEN) comprises a spectrum, from well-differentiated (i.e., G1, G2) pancreatic neuroendocrine tumors (PanNETs) to poorly differentiated carcinomas (PanNECs). Therapeutic progress is limited by the lack of representative preclinical models. Patient-derived organoids (PDOs) offer potential as translational models, but evidence remains scattered. Methods: We conducted a systematic review of PubMed (Jan 2009–Aug 2025) for original studies reporting on PDOs from PanNEN patients. Eligible studies were screened using the Rayyan software and data extracted from PDO take rates, validation methods, and clinical applications. Results: Twelve studies were included for qualitative and quantitative analyses. PDOs were successfully generated from both PanNETs (G1–G3; n = 26) and PanNECs (n = 6), primarily derived from primary tumors, but several studies also included metastatic sites. Take rates ranged from 33% to 100%, for a cumulative 33 PDOs from 44 attempts (overall take rate: 75%). Validation consistently employed histology, immunohistochemistry, and molecular profiling, with several studies incorporating xenotransplantation or omics approaches. PDOs demonstrated variable culture durations, from short-term (<3 weeks) to long-term (>20 passages). Drug screening studies (n = 7) revealed heterogenous responses to standard agents and pathways (everolimus, sunitinib, and temozolomide) and identified novel vulnerabilities, including EZH2 dependency, PI3K/CDK4/6 synergy, and Bcl-2-linked sensitivities in PanNECs. One study provided evidence of concordance between PDO drug sensitivity and patient responses. Conclusions: Research into PanNEN organoids remains limited. However, PDOs can preserve key histological and molecular features, enable pharmacotyping, and uncover candidate biomarkers for therapy. Despite feasibility across subtypes, progress is constrained by variability in culture success. Standardization and prospective validation are essential to advance PDOs as tools for personalized medicine in PanNENs. Full article

Background: Emotion regulation (ER) difficulties are closely linked to maladaptive coping strategies, including impulsive and emotional eating, which undermine health and well-being in young adults. Technical university students are particularly vulnerable due to factors such as a high academic workload, sedentary behavior, and performance-related stress. This study evaluated the effects of a four-week structured physical activity intervention on ER and eating behaviors among engineering students. Methods: Seventy first- and second-year computer science and engineering students (40 males and 30 females, aged 19–25 years) from Politehnica University of Bucharest participated in the study. The intervention included three weekly supervised training sessions and a daily step count requirement (≥6000 steps), verified via weekly smartphone submissions. Pre- and post-intervention assessments employed the Difficulties in Emotion Regulation Scale (DERS-36) and the Adult Eating Behavior Questionnaire (AEBQ-35). Data were analyzed using Kolmogorov–Smirnov tests, Wilcoxon signed-rank tests, and paired-sample t-tests. Results: Significant improvements were observed in five ER domains—non-acceptance of emotional responses, goal-directed behavior, impulse control, access to regulation strategies, and emotional clarity (all p < 0.01). No change occurred in emotional awareness (p > 0.05). Eating behaviors (restrained, emotional, and external eating) showed no significant differences pre- and post-intervention (all p > 0.05). Conclusions: A short-term, structured physical activity program enhanced emotion regulation capacities but did not alter eating behaviors in the short run. These findings highlight the feasibility of embedding low-cost, exercise-based modules into higher education to strengthen students’ psychological resilience. Longer and multimodal interventions may be required to produce measurable changes in eating behaviors. Full article

This study investigates the public health consequences of media exposure to terrorism by examining individuals’ emotional responses to photographs from the October 7th terror attack, assessing how such imagery interacts with personality traits to influence emotional states. The research aims to explore how these reactions are moderated by personality traits—specifically the Big Five. A diverse sample comprising Israeli Jews (final sample N = 826) viewed media-sourced images categorized as explicit negative (n = 279; e.g., photos of bodies or deceased individuals), implicit negative (n = 269; images depicting destruction and devastation without explicit death symbols), and positive (n = 278; images of reconstruction and renewal). Participants’ affective states and specific emotions were assessed both before and after exposure to capture potential shifts. Results revealed a significant increase in negative emotions and a corresponding decrease in positive emotions following exposure to negative images. Personality traits moderated these emotional responses in nuanced ways. Neuroticism exacerbated negative emotional reactions, particularly among men exposed to implicit negative imagery, likely reflecting heightened sensitivity to ambiguous threats. Similarly, agreeableness was associated with heightened anger responses—specifically among men exposed to implicit negative imagery and women exposed to explicit negative images—although this effect was limited to anger and did not extend to other negative emotions. In contrast, openness was linked to decreased anger but only for men exposed to implicit negative imagery. Together, these findings underscore the complex interplay between media exposure, personality traits, and emotional responses to terror-related content. From a public health perspective, the results highlight the need for the following: (a) targeted mental health interventions that account for personality-based vulnerabilities, (b) responsible media reporting practices that minimize unnecessary harm, and (c) media literacy initiatives that empower individuals to manage exposure to distressing content. By linking personality, media imagery, and emotional outcomes, this study provides actionable insights for strengthening resilience, guiding ethical media practices, and promoting psychological well-being in communities affected by terrorism. Full article

Cloudbursts and other extreme rainfall events are becoming more frequent and intense, making precise forecasts and disaster preparedness more challenging. Despite advances in meteorological monitoring, current models often lack the precision needed for hyperlocal extreme rainfall forecasts. This study addresses the research gap in spatial configuration-aware modeling by proposing a novel framework that combines geometry-based weather station selection with advanced deep learning architectures. The primary goal is to utilize real-time data from well-placed Automatic Weather Stations to enhance the precision and reliability of extreme rainfall predictions. Twelve unique datasets were generated using four different geometric topologies—linear, triangular, quadrilateral, and circular—centered around the target station Chinchwad in Pune, India, a site that has recorded diverse rainfall intensities, including a cloudburst event. Using common performance criteria, six deep learning models were trained and assessed across these topologies. The proposed Bi-GRU model under linear topology achieved the highest predictive accuracy (R² = 0.9548, RMSE = 2.2120), outperforming other configurations. These findings underscore the significance of geometric topology in rainfall prediction and provide practical guidance for refining AWS network design in data-sparse regions. In contrast, the Transformer model showed poor generalization with high MAPE values. These results highlight the critical role of spatial station configuration and model architecture in improving prediction accuracy. The proposed framework enables real-time, location-specific early warning systems capable of issuing alerts 2 h before extreme rainfall events. Timely and reliable predictions support disaster risk reduction, infrastructure resilience, and community preparedness, which are essential for safeguarding lives and property in vulnerable regions. Full article

Driven by the rapid evolution of AI technology, compatible management mechanisms have become a systematic project involving the participation of multiple stakeholders. However, constrained by the rigidity and lag of traditional laws, the “one-size-fits-all” regulatory model will exacerbate the vulnerability of the complex system of AI governance, hinder the sustainable evolution of the AI ecosystem that relies on the dynamic balance between innovation and responsibility, and ultimately fall into the dilemma of “chaos when laissez-faire, stagnation when over-regulated”. To address this challenge, this study takes the multi-stakeholder collaborative mechanism co-established by governments, enterprises, and third-party technical audit institutions as its research object and centers on the issue of “strategic fluctuations” caused by key factor disturbances. From the perspective of the full life cycle of technological development, the study integrates the historical compliance performance of stakeholders and develops a nonlinear dynamic reward and punishment mechanism based on Credit Entropy. Through evolutionary game simulation, it further examines this mechanism as a realization path to promote the transformation from passive campaign-style AI supervision to agile governance of AI, which is characterized by rapid response and minimal intervention, thereby laying a foundation for the sustainable development of AI technology that aligns with long-term social well-being, resource efficiency, and inclusive growth. Finally, the study puts forward specific governance suggestions, such as setting access thresholds for third-party institutions and strengthening their independence and professionalism, to ensure that the iterative development of AI makes positive contributions to the sustainability of socio-technical systems. Full article

The quality of groundwater, a crucial freshwater resource in cold regions, directly affects human health. This study used groundwater quality monitoring data collected in the central Songnen Plain in 2014 and 2022 as a case study. The improved DRASTICL model was used to assess the vulnerability index, while water quality indicators were selected using a random forest algorithm and combined with the entropy-weighted groundwater quality index (E-GQI) approach to realize water quality assessment. Furthermore, self-organizing maps (SOM) were used for pollutant source analysis. Finally, the study identified the synergistic migration mechanism of NH₄⁺ and Cl⁻, as well as the activation trend of As in reducing environments. The uncertainty inherent to health risk assessment was considered by developing a kernel density estimation–trapezoidal fuzzy number–Monte Carlo simulation (KDE-TFN-MCSS) model that reduced the distribution mis-specification risks and high-risk misjudgment rates associated with conventional assessment methods. The results indicated that: (1) The water chemistry type in the study area was predominantly HCO₃⁻–Ca²⁺ with moderately to weakly alkaline water, and the primary and nitrogen pollution indicators were elevated, with the average NH₄⁺ concentration significantly increasing from 0.06 mg/L in 2014 to 1.26 mg/L in 2022, exceeding the Class III limit of 1.0 mg/L. (2) The groundwater quality in the central Songnen Plain was poor in 2014, comprising predominantly Classes IV and V; by 2022, it comprised mostly Classes I–IV following a banded distribution, but declined in some central and northern areas. (3) The results of the SOM analysis revealed that the principal hardness component shifted from Ca²⁺ in 2014 to Ca²⁺–Mg²⁺ synergy in 2022. Local high values of As and NH₄⁺ were determined to reflect geogenic origin and diffuse agricultural pollution, whereas the Cl⁻ distribution reflected the influence of de-icing agents and urbanization. (4) Through drinking water exposure, a deterministic evaluation conducted using the conventional four-step method indicated that the non-carcinogenic risk (HI) in the central and eastern areas significantly exceeded the threshold (HI > 1) in 2014, with the high-HI area expanding westward to the central and western regions in 2022; local areas in the north also exhibited carcinogenic risk (CR) values exceeding the threshold (CR > 0.0001). The results of a probabilistic evaluation conducted using the proposed simulation model indicated that, except for children’s CR in 2022, both HI and CR exceeded acceptable thresholds with 95% probability. Therefore, the proposed assessment method can provide a basis for improved groundwater pollution zoning and control decisions in cold regions. Full article

Background: There have been 20.5 million deaths due to cardiovascular diseases (CVDs), including atherosclerotic coronary artery disease (CAD) and stroke, so far in 2025. Atherosclerosis, which begins in newborns, may be influenced by preconception factors and continues to develop in adults, requiring a proper assessment of the burden of atherosclerotic plaque, as it is the direct cause of CAD. This review aims to emphasize the role of a staging system proposed by the Lancet Commission for the quantification of atherosclerotic coronary artery disease (ACAD) with an emphasis on preconception risk factors and protective factors, based on coronary computed tomography angiography (CCTA). Methods: It is suggested that the use of CCTA scanning makes it possible to quantify the atherosclerotic plaque burden into four stages. Results: CCTA enables us to see how much plaque has built up, as well as the type of plaque, but not the biochemistry of the plaque, to determine its vulnerability. However, if the plaque is a non-calcified fatty plaque, it is considered to be a strong predictor of the risk of myocardial infarction (MI), whereas a more stable calcified plaque is known to be protective against MI. There are several risk factors and protective factors which may influence the process of the rupture or vulnerability of the plaque. A randomized trial revealed that, after a median follow-up of 10·0 years, deaths due to CAD or non-fatal MI were less frequent in the CCTA group compared with a control group. Conclusions: Despite a few gaps in knowledge about the value of a staging system of ACAD, the available evidence indicates that it is helpful in decreasing morbidity and mortality with available therapies. Full article

Social inclusion, particularly in the cultural domain, is a fundamental pillar for ensuring the full participation of all individuals in community life, fostering equity, well-being, and the recognition of diversity. This article has two objectives. Firstly, it aims to conduct a systematic review to diagnose the factors that exclude vulnerable groups from cultural access. Secondly, the aim is to understand how a group of young people with disabilities perceive the role of culture as a tool for social and labour inclusion. In October 2023, a systematic review was conducted in the Web of Science and Scopus electronic databases. A total of 37 articles were included in the review and classified into the following five areas of interest. The categories were as follows: (1) the relationship between cultural participation and physical and emotional well-being; (2) universal accessibility as a right to guarantee equitable access to culture; (3) the ability of people with disabilities to participate in culture; (4) the role of cultural policies as facilitators or barriers to inclusion; and (5) participation in contexts of cultural diversity as a means of social integration. These categories guided discussions with two focus groups comprising 15 young people. The positive impact of cultural participation, especially in its social dimension, was highlighted. The data point to the value of technology as a facilitator of access to culture, particularly for young people. Policies should focus on diverse cultural expressions and promote cognitive accessibility. Full article

Bevacizumab is often used off-label in pediatric neuro-oncology, and evidence for indications of bevacizumab use in pediatric neuro-oncology is often fragmented. Therefore, this review aims to provide an organized summary of efficacy across different types of tumors, highlight outcomes, and link findings to the underlying biology. Gaps in the literature were also identified to guide future research. We narratively synthesized various pediatric studies, and the following tumor categories were identified for discussion: low-grade glioma, high-grade glioma, diffuse intrinsic pontine glioma, schwannoma, medulloblastoma, radiation necrosis, and cerebral edema. Key outcomes considered included overall survival, event-free survival, progression-free survival, vision and/or hearing improvements, steroid use, quality of life, and toxicity. The greatest benefits were observed in cases such as recurrent medulloblastoma in combination with temozolomide and irinotecan, optic pathway glioma visual function, and diminished steroid use in radiation necrosis. Results were poorer in cases of newly diagnosed high-grade gliomas and diffuse intrinsic pontine gliomas. The medication was overall well tolerated, with adverse events like hypertension, proteinuria, and epistaxis often being manageable with surveillance. In consideration of the results, bevacizumab should be considered based on the tumor profile, and its outcome measured along functional endpoints, besides radiological evolution. Continued investigations into outcome measures, as well as combination with targeted treatments and optimizing therapy, will contribute to improving outcomes in this vulnerable population. Full article

The dynamic growth in the dependence of numerous industrial sectors, businesses, and critical infrastructure on infocommunication technologies necessitates the enhancement of their resilience to cyberattacks and radio-frequency threats. This article addresses a relevant scientific and applied issue, which is to formulate prospective directions for improving the effectiveness of cybersecurity approaches for infocommunication networks through a comparative analysis and logical synthesis of the state-of-the-art of applied research on cyber threats to the information security of mobile and satellite networks, including those related to the rapid development of quantum computing technologies. The article presents results on the systematisation of cyberattacks at the physical, signalling and cryptographic levels, as well as threats to cryptographic protocols and authentication systems. Particular attention is given to the prospects for implementing post-quantum cryptography, hybrid cryptographic models and the integration of threat detection mechanisms based on machine learning and artificial intelligence algorithms. The article proposes a classification of current threats according to architectural levels, analyses typical protocol vulnerabilities in next-generation mobile networks and satellite communications, and identifies key research gaps in existing cybersecurity approaches. Based on a critical analysis of scientific and applied literature, this article identifies key areas for future research. These include developing lightweight cryptographic algorithms, standardising post-quantum cryptographic models, creating adaptive cybersecurity frameworks and optimising protection mechanisms for resource-constrained devices within information and digital networks. Full article

The topic proposal concerns the axes of climate operation and modification, the consequences and/or benefits of the flow of the economy, as well as the risks to social security, amidst the evolution of human interventions, which the Anthropocene highlights. Atmospheric data demonstrates the interaction of gaseous pollutants and aerosols, with the contribution of different emission and pollution sources to its chemical composition. At the same time, satellite remote sensing of precipitation and the water cycle reveal an imbalance in components and effects, in an environment of rapid rates of commercial production and human mobility in the developed world. How does mobility prevent the full observation and modeling of the elements involved (in atmospheric and hydrological data)? What is the role of multi-sensor technologies for detecting gases and what are their applications in decontamination? With sources from bibliographic reviews, data were collected from the detection of point sources of gases and dynamic analyses of the extent of the water surface, in order to highlight the descriptive characteristics of the meteorological phenomena and their activity. The scientific approach to analyzing the individual data is based on the techno-scientific Actor-Network Theory, in order to test their connection and contribution to the overall problematic result. The aim of this study is to build an interdisciplinary analysis with documentation of vulnerabilities in the expression of weather phenomena, of the present geological time. The ambition of the study is to propose principles of regulation and precaution, related to the sustainable development of geo-resources and ways to reduce vulnerability. Full article

The rapid increases in urbanization and time spent in built indoor environments have sparked significant concerns about their impact on human health and well-being. People who spend long hours in enclosed and highly artificial settings, such as hospital workers, are especially vulnerable to environmental stressors. This study examined whether applying biophilic (i.e., human tendency to connect with nature and other lifeforms) spatial design within hospital spaces could provide restorative benefits for nurses working in high-stress environments. Twenty-one nurses participated in this study, staying under two different conditions for 10 min: a control room with plain white walls and a biophilic space where the walls were entirely covered with vegetation. During the sessions, functional near-infrared spectroscopy was used to measure hemodynamic responses in the dorsolateral prefrontal cortex (DLPFC). Additionally, standardized self-report questionnaires were used to analyze the level of perceived restorativeness, affective states, mood, and anxiety. Results showed that exposure to the biophilic space significantly reduced oxyhemoglobin (oxy-Hb) concentrations in the DLPFC, reflecting relief from cognitive–emotional overload and enhanced neural stabilization. Psychological measures further indicated decreases in fatigue, depression, and anxiety, alongside increases in vigor, attentiveness, and perceived restorativeness in biophilic space. These findings demonstrate that even brief exposure to a biophilically designed indoor environment can produce neuropsychologically restorative effects, suggesting biophilic interventions as sustainable, effective strategies for healthier workplaces and urban environments. Full article

Background: Bruxism is defined as repetitive activity of the masticatory muscles characterized by clenching or grinding of the teeth and/or stiffening or protrusion of the mandible, referred to as sleep bruxism or awake bruxism. It is believed that in generally healthy individuals, bruxism should not be considered a disorder, but rather a behavior that may be a risk factor (and/or protective factor) for certain clinical consequences. The aim of the study was to assess the occurrence and strength of the correlation between bruxism and sleep disorders (parasomnias and insomnia), as well as to evaluate the correlation between bruxism and the nature of dreams. Methods: The study involved 276 people aged 18–55. The research was conducted using an online survey in the period from January to March 2022. The author’s own questionnaire was composed of five segments of test questions (basic questions, bruxism severity test, Athens Insomnia Scale, parasomnia test, sleep evaluation test). The respondents were divided into groups based on the severity of bruxism, insomnia, parasomnias and the occurrence of dreams related to the oral cavity and teeth. Statistical analysis included Spearman’s correlation coefficients, chi-square test, Kruskal–Wallis ANOVA, and Mann–Whitney U test. Results: The analysis revealed a significant correlation between the severity of bruxism and insomnia symptoms. Participants with moderate and severe bruxism reported insomnia more frequently and with greater intensity. Similar correlations were observed with parasomnias and the frequency of dreams concerning the oral cavity and teeth. The strongest association with bruxism was found for physical dreams. Moreover, correlations were also noted between insomnia and parasomnias. Conclusions: These findings suggest that individuals experiencing bruxism, particularly sleep bruxism, may be more vulnerable to other sleep disturbances. Addressing one of these conditions could potentially have a beneficial impact on the others. Full article

In the subtropical regions of southern China, springtime is often characterized by persistently high humidity, leading to frequent condensation on building envelopes and interior surfaces. Top-floor rooms are particularly vulnerable due to their direct exposure to outdoor conditions through walls and the roof, making condensation prevention a critical concern. This study is grounded in the residential habits and spatial preferences of southern Chinese residents and evaluates three roof configurations—standard, thickened, and green roofs—using EnergyPlus (v22.1.0) simulation software to analyze their effects on indoor relative humidity levels in top-floor spaces. The results demonstrate that green roof systems significantly reduce indoor relative humidity, especially in high-rise residential buildings. Taking a 30-story residential building as an example, with a conventional roof, the indoor relative humidity remains at 100% for extended periods during high-risk condensation intervals, resulting in surface condensation. In contrast, when a green roof with a soil depth of 70 cm and daylilies at a height of 100 cm is used, the peak indoor maximum relative humidity is reduced by 10–40%, and the duration of condensation decreases to zero. Among the factors involved in green roofs, including plant height, soil depth, and leaf area index (LAI), soil depth shows a significant negative correlation with the maximum indoor relative humidity (correlation coefficient r = −0.987, p < 0.01), while the LAI exhibits a positive correlation with the maximum indoor relative humidity (r = 0.180, p < 0.05). Selecting plant species with a low LAI and increasing soil depth are effective passive strategies for humidity control and condensation prevention. These findings establish a basis for optimizing building environmental models and propose passive design strategies to enhance overall performance. In addition, the study highlights how roof greening contributes to global sustainability goals, particularly SDG 3 (Good Health and Well-being), SDG 11 (Sustainable Cities and Communities), and SDG 13 (Climate Action), by improving indoor comfort, enhancing resilience, and reducing climate-related risks. Full article