Search Results (182)

Among wireless communication technologies underlying Internet of Things (IoT)-based smart buildings, IQRF (Intelligent Connectivity Using Radio Frequency) technology is a promising candidate due to its low power consumption, cost-effectiveness, and wide coverage. However, effectively modeling the propagation characteristics of IQRF in complex indoor environments for simple and accurate network deployment remains challenging, as architectural elements like walls and corners cause substantial signal attenuation and unpredictable propagation behavior. This study investigates the applicability of a site-specific modeling approach, originally developed for urban street canyons, to characterize peer-to-peer (P2P) IQRF links operating at 868 MHz in typical indoor scenarios, including line-of-sight (LoS), one-turn, and two-turn non-line-of-sight (NLoS) configurations. The received signal powers are compared with well-known empirical models, including international telecommunication union radio communication sector (ITU-R) P.1238-9 and WINNER II, and ray-tracing simulations. The results show that while ITU-R P.1238-9 achieves lower prediction error under LoS conditions with a root mean square error (RMSE) of 5.694 dB, the site-specific approach achieves substantially higher accuracy in NLoS scenarios, maintaining RMSE values below 3.9 dB for one- and two-turn links. Furthermore, ray-tracing simulations exhibited notably larger deviations, with RMSE values ranging from 7.522 dB to 16.267 dB and lower correlation with measurements. These results demonstrate the potential of site-specific modeling to provide practical, computationally efficient, and accurate insights for IQRF network deployment planning in smart building environments. Full article

Among the players for achieving the Sustainable Development Goals (SDGs) defined in the United Nations 2030 Agenda, global energy transition plays a pivotal role. Among the emerging strategies, energy sharing mechanisms, such as peer-to-peer (P2P) trading, virtual power plants (VPPs), energy communities, and local energy markets are widely recognized for their potential to increase energy justice, resilience, and sustainability. These models redistribute energy production and consumption responsibilities among users, fostering decentralization, democratization, and inclusivity in energy systems. This review synthesizes current literature on energy sharing and evaluates their contributions to specific SDGs, particularly SDG 7 (Affordable and Clean Energy), SDG 11 (Sustainable Cities and Communities), and SDG 13 (Climate Action). Furthermore, the paper discusses regulatory frameworks, technological enablers, and socio-economic barriers to implementation. It concludes with policy recommendations for promoting energy sharing schemes as effective tools in the global pursuit of sustainable development. Full article

Gastrointestinal symptoms often persist in children with Hirschsprung’s disease (HD) even after “corrective” pull-through surgery. Alteration of the gut microbiota (“dysbiosis”) has emerged as a potential contributing factor. Animal studies show gut ecosystem changes that are both intrinsic to HD and caused by bowel resection itself, but human studies comparing the intestinal microbiota of children with HD and healthy children are limited. We collected food frequency dietary surveys, clinical and symptom data, and stool samples from 15 post-operative children with HD and 15 healthy controls (HCs). We performed 16S rRNA gene sequencing from the stool samples and quantified faecal calprotectin as a measure of gastrointestinal inflammation. Despite no global changes in the microbiota between HD and HC cohorts and no differences between individuals with and without a history of HD-associated enterocolitis (HAEC), we identified evidence of altered microbiota development and inflammatory trajectories in HD. In HCs, alpha diversity increased with age (r = 0.83, p < 0.001), while calprotectin levels declined (Spearman’s ρ = −0.53, p = 0.04). These age-related patterns were absent in HD. Across the combined cohort, lower alpha diversity was associated with higher faecal calprotectin (Spearman’s ρ = −0.47, p = 0.01). In HD, Fusobacteria abundance showed a strong positive correlation with calprotectin (Spearman’s ρ = 0.76, adjusted p = 0.02). Pediatric Quality of Life (PedsQL) and gastrointestinal disease-specific symptom scores were lower in HD compared to HC but were not directly linked to microbial diversity or inflammation. Overall, we observed a divergence from healthy peers in the typical developmental trajectory of gut microbial communities and inflammation in children with HD that may involve Fusobacteria. Children with HD reported reduced health-related quality of life compared with HC, consistent with ongoing gastrointestinal symptoms. No microbiota differences were associated with HAEC history, though this may reflect limited sample size. Full article

eSports and recreational video gaming are expanding in Peru, yet evidence on gamers’ dietary habits and correlates is scarce. We aimed to identify factors associated with eating habits among Peruvian video gamers and professional eSports players. Quantitative and cross-sectional study (Peru, 2023). A culturally adapted version of the German Sport University Cologne questionnaire (28 items; Cronbach’s α = 0.86) was administered online using non-probability snowball sampling. The primary outcome was eating-habit classification (adequate vs. inadequate) based on the instrument’s scoring. Associations with hypothesized correlates (e.g., gaming-related influences, peer interaction, advertising) were assessed with χ² or Fisher’s exact test (α = 0.05). We analyzed 288 respondents (median age 21 years). Overall, 77.8% exhibited inadequate eating habits. Daily water intake was reported by 72%, whereas daily fruit and vegetable consumption was 21% and 32%, respectively. Peer interaction within the gaming environment (p = 0.037) and the perceived influence of video games (p = 0.031) were significantly associated with poorer eating habits. Sitting time, number of meals per day, daily water intake volume, and weekly gaming hours showed no significant association (all p > 0.05). Most Peruvian gamers report suboptimal diets. Social dynamics in the gamer community and gaming-related influences are linked to poorer eating habits, suggesting that nutrition strategies should be embedded in gamer ecosystems (teams, communities, platforms). Longitudinal and interventional studies are warranted to test targeted behavior-change approaches. Full article

In a botnet attack, significant damage can occur when an attacker gains control over a large number of compromised network devices. Botnets have evolved from traditional centralized architectures to decentralized Peer-to-Peer (P2P) and hybrid forms. Recently, a steganography-based botnet (Stego-botnet) has emerged, which conceals command and control (C&C) messages within cover media such as images or video files shared over social networking sites (SNS). This type of Stego-botnet can evade conventional detection systems, as identifying hidden messages embedded in media transmitted via SNS platforms is inherently challenging. However, the inherent file size limitations of SNS platforms restrict the achievable payload capacity of such Stego-botnets. Moreover, the centralized characteristics of conventional botnet architectures expose attackers to a higher risk of identification. To overcome these challenges, researchers have explored network steganography techniques leveraging P2P networks such as BitTorrent, Google Suggest, and Skype. Among these, a hidden communication method utilizing Bitfield messages in BitTorrent has been proposed, demonstrating improved concealment compared to prior studies. Nevertheless, existing approaches still fail to achieve sufficient payload capacity relative to traditional digital steganography techniques. In this study, we extend P2P-based network steganography methods—particularly within the BitTorrent protocol—to address these limitations. We propose a novel botnet C&C communication model that employs network steganography over BitTorrent and validate its feasibility through experimental implementation. Furthermore, our results show that the proposed Stego-botnet achieves a higher payload capacity and outperforms existing Stego-botnet models in terms of both efficiency and concealment performance. Full article

Background: Social networking platforms offer promising educational value, particularly for undergraduate students whose daily lives are deeply embedded in online spaces. Yet in most courses, instructional technologies remain limited to institutional learning management systems (LMSs), which often do not foster informal interaction or community. This study examined whether supplementing LMSs with a Facebook group could enhance academic outcomes and retention in undergraduate Anatomy and Physiology (A&P) courses. Methods: Over two semesters, two student cohorts (n = 39) were taught by the same instructor using identical materials; one cohort also used a closed Facebook group for course-related engagement. Results: While final course grades were not significantly different between groups (p = 0.186), students in the Facebook cohort scored significantly higher on mid-semester unit exams (p < 0.001 to p = 0.006). Regression analysis revealed a 9.4% higher mean final course grade among Facebook users. Importantly, the pass rate in the Facebook cohort was 94.7% compared to 45.0% in the control group, with dropout rates significantly lower (5.3% vs. 55%, p = 0.001). Conclusions: These findings suggest that incorporating social media into undergraduate science instruction may promote academic success and retention by providing a familiar, collaborative space for active learning and peer support. Full article

Air pollutants pose a growing public health concern in Puerto Rico (PR), particularly from rapid industrialization, military activities, environmental changes and natural disasters. A total of 193 pollutants, comprising the 187 hazardous air pollutants and the 6 criteria air pollutants—including particulate matter (PM), carbon monoxide (CO), volatile organic compounds (VOC), and heavy metals—coincide with rising respiratory disease rates (e.g., lung cancer) documented in national and regional health registries. This study aimed to review major air pollutants in PR, their molecular carcinogenic mechanisms (mostly focused on respiratory-related cancers), and the geographic areas impacted significantly. We conducted an extensive literature search utilizing peer-reviewed scientific articles (PubMed and Web of Science), governmental reports (EPA, WHO, State of Global Air), public health registries, (Puerto Rico Central Cancer Registry and International Agency for Research on Cancer) and local reports. Data on pollutant type, source, molecular pathways, and carcinogenic properties were extracted and synthesized. Our analysis identified ethylene oxide (EtO), polycyclic aromatic hydrocarbons, and PM from industrial sites as key pollutants. The municipalities of Salinas and Vieques, hubs of industrial activity and military exercises, respectively, emerged as critical hotspots where high concentrations of monitored pollutants (e.g., EtO, formaldehyde, 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) and diesel PM) are associated with a significant prevalence of cancer and respiratory diseases. These agents, known to induce genomic instability and chromosomal aberrations, were correlated with elevated local cancer incidence. Our findings underscore the urgent need for targeted public health interventions and support a multi-pronged strategy that includes: (1) enhanced regulatory oversight of EtO and other hazardous air pollutant emissions; (2) community-based biomonitoring of high-risk populations; and (3) investment in public health infrastructure and a transition to cleaner energy sources. Integrating rigorous environmental science with public health advocacy is essential to strengthen PR’s cancer-control continuum and foster resilience in its most vulnerable communities. Full article

Background: Despite evidence discouraging contralateral prophylactic mastectomy (CPM) in average-risk patients, its use is increasing globally. While well-studied in Western settings, little is known about the factors influencing CPM decisions in the Middle East and North Africa (MENA) region. This study explores clinical, psychosocial, and communication-related factors associated with CPM choices among women with early-stage breast cancer. Methods: We conducted a retrospective study of 253 early-stage breast cancer patients who underwent mastectomy, with or without CPM, at the American University of Beirut Medical Center. Clinical and demographic data were extracted from medical records, and decision-making factors were assessed through tailored patient questionnaires. Associations were analyzed using chi-square tests and multivariable logistic regression. Results: Of the 253 women included in the study, 37 underwent CPM, while 216 had unilateral mastectomy (UM). Compared to the UM group, women who chose CPM were more likely to have a college education (96.9% vs. 57.6%, p < 0.001), be employed (69.7% vs. 41.3%, p = 0.002), and report a family history of breast cancer (55.6% vs. 30.2%, p = 0.003). Immediate reconstruction was significantly more common among CPM patients (67.6% vs. 16.4%, p < 0.001), and the 30-day rehospitalization rate was also higher (16.2% vs. 6.1%, p = 0.031). Women in the CPM group were more likely to prioritize extending life (84.6% vs. 56.7%, p = 0.007) and achieving peace of mind (80.8% vs. 49.3%, p = 0.003). Although all CPM patients cited risk reduction as a primary motivator, only 46.2% believed they had a lower recurrence risk than their peers (vs. 20% of UM patients, p < 0.001). Decisions to undergo UM were more frequently influenced by physicians’ recommendations (95.3% vs. 53.8%, p < 0.001), whereas CPM decisions appeared to be more patient-driven. Additionally, CPM patients reported more negative expectations and higher dissatisfaction with pain (57.7% vs. 32.0%, p = 0.012) and reconstructive outcomes (54.5% vs. 27.5%, p = 0.035). Conclusions: In this first study from the MENA region exploring CPM decision-making, choices were largely driven by personal preferences rather than clinical risk. These findings highlight the need for improved risk communication, shared decision-making, and broader integration of genetic counseling in surgical planning. Full article

Peer-to-peer (P2P) energy trading has emerged as a novel approach to enhancing the coordination and utilization of distributed energy resources (DERs) within modern power distribution networks. This study presents a techno-economic analysis of different DER characteristics, focusing on the integration of photovoltaic (PV) systems and energy storage systems (ESS) within a community-based P2P energy trading framework in Aswan, Egypt, under a time-of-use (ToU) electricity tariff. Eight distinct cases are evaluated to assess the impact of different DER characteristics on P2P energy trading performance and an unbalanced low-voltage (LV) distribution network by varying the PV capacity, ESS capacity, and ESS charging power. To the best of the authors’ knowledge, this is the first study to comprehensively examine the effects of different DER characteristics on P2P energy trading and the associated impacts on an unbalanced distribution network. The findings demonstrate that integrating PV and ESS can substantially reduce operational costs—by 37.19% to 68.22% across the analyzed cases—while enabling more effective energy exchanges among peers and with the distribution system operator (DSO). Moreover, DER integration reduced grid energy imports by 30.09% to 63.21% and improved self-sufficiency, with 30.10% to 63.21% of energy demand covered by community DERs. However, the analysis also reveals that specific DER characteristics—particularly those with low PV capacity (1.5 kWp) and high ESS charging rates (e.g., ESS 13.5 kWh with 2.5 kW inverter)—can significantly increase transformer and line loading, reaching up to 19.90% and 58.91%, respectively, in Case 2. These setups also lead to voltage quality issues, such as increased voltage unbalance factors (VUFs), peaking at 1.261%, and notable phase voltage deviations, with the minimum Vb dropping to 0.972 pu and maximum Vb reaching 1.083 pu. These findings highlight the importance of optimal DER sizing and characteristics to balance economic benefits with technical constraints in P2P energy trading frameworks. Full article

Guided by self-determination theory (SDT), this study aimed to examine the impact of All Stars Moving Together (ASMT), an 8-week school–university service learning program, on elementary children’s physical activity (PA), school-time behavior, and motivation. A concurrent theory-based mixed-methods study with 21 fourth graders from an under-resourced community (age 9–10) wore Moki PA trackers to capture step count and minutes of moderate-to-vigorous PA (MVPA) during school-time. Linear and generalized mixed-effects models examined school-day type on PA and benchmarks for meeting school-based PA (3000 steps; 20 min of MVPA). Self-efficacy and enjoyment were assessed using pictorial scales, and the focus groups explored program experiences thematically using the SDT framework. School day type showed significant main effects for steps (F (5, 642) = 170, p < 0.001) and MVPA (F (5, 581) = 105, p < 0.001), where school days with ASMT added an average of 2000–2400 steps and 10–12 min of MVPA compared to school days with no PA. Enjoyment of PA significantly increased (p = 0.006, d = 0.75). Thematic analysis revealed relatedness (support from peers, college students), competence (self-efficacy, positive feelings, perceived motor competence improvements), and autonomy through preferences and self-regulation of PA. ASMT significantly increased school-time PA and children’s enjoyment while fostering competence and relatedness among elementary children. Full article

Forest fire risk assessment methodologies vary considerably, presenting challenges for adaptation to specific local contexts. This study provides a systematic analysis of forest fire assessment approaches across the Mediterranean basin, American, African, and Asian regions through a comprehensive review of 112 peer-reviewed studies published from 2015 to 2025. Statistical significance testing (Chi-square tests, p < 0.05) confirmed significant regional variation in methodological preferences and indicator usage patterns. Key findings revealed that Multi-Criteria Decision Analysis dominates the field (44% of studies, n = 49), with Analytical Hierarchical Process being the most utilized method (39 studies). Machine learning approaches represent 25% (n = 28), with Random Forest leading significantly (22 applications). The analysis identified 67 indicators across seven major categories, with topographic factors (slope: 105 studies) and anthropogenic indicators (road networks: 92 studies) showing statistically significantly highest usage rates (p < 0.001), representing a statistically significant critical gap in vulnerability assessment (p < 0.01). Organizational factors remain severely underrepresented (a maximum of 14 studies for any factor), representing a statistically significant critical gap in risk assessments (p < 0.01). Statistical analysis revealed that while Mediterranean approaches excel in integrating historical and cultural factors, American methods emphasize advanced technology integration, while Asian approaches focus on socio-economic dynamics and land-use interactions. This study serves as a foundation for developing tailored assessment frameworks that combine remote sensing analysis, ground-based surveys, and community input while accounting for local constraints in data availability and technical capacity. The study concludes that effective forest fire risk assessment requires a balanced integration of global best practices with local environmental, social, and technical considerations, offering a roadmap for future forest fire risk assessment approaches in different regions worldwide. Full article

Rapid advancements in peer-to-peer (P2P) streaming technologies have significantly impacted digital communication, enabling scalable, decentralized, and real-time content distribution. Despite these advancements, challenges persist, including dynamic topology management, high latency, security vulnerabilities, and unfair resource sharing (e.g., free rider). While software-defined networking (SDN) and blockchain individually address aspects of these limitations, their combined potential for comprehensive optimization remains underexplored. This study proposes a distributed SDN (DSDN) architecture enhanced with blockchain support to provide secure, scalable, and reliable P2P video streaming. We identified research gaps through critical analysis of the literature. We systematically compared traditional P2P, SDN-enhanced, and hybrid architectures across six performance metrics: latency, throughput, packet loss, authentication accuracy, packet delivery ratio, and control overhead. Simulations with 200 peers demonstrate that the proposed hybrid SDN–blockchain framework achieves a latency of 140 ms, a throughput of 340 Mbps, an authentication accuracy of 98%, a packet delivery ratio of 97.8%, a packet loss ratio of 2.2%, and a control overhead of 9.3%, outperforming state-of-the-art solutions such as NodeMaps, the reinforcement learning-based routing framework (RL-RF), and content delivery networks-P2P networks (CDN-P2P). This work establishes a scalable and attack-resilient foundation for next-generation P2P streaming. Full article

Background/Objectives: Developmental Coordination Disorder (DCD) affects approximately 5% of children globally and is characterized by motor difficulties that can negatively impact physical activity levels and increase the risk of obesity. Understanding the behavioral and physiological profiles of children with DCD is essential for early intervention. This cross-sectional study compared physical activity, dietary habits, and obesity indicators between children with DCD and their typically developing (TD) peers. Methods: A total of 243 children (134 boys, 109 girls) aged 6.65 to 11.65 years (M = 9.50, SD = 1.38) from two mainstream schools in the Chartered Community of Navarre, Spain, participated in the study. Children with conditions that could explain poor motor development were excluded based on DSM-5 Criterion D. Motor competence was evaluated using the FUNMOVES (n = 243) and MABC-2 tools (n = 49). Physical activity was assessed using the Physical Activity Questionnaire for Children (PAQ-C), dietary habits with the Krece Plus questionnaire, and obesity indicators through bioimpedance analysis (Body Mass Index and body fat percentage). Regression analyses were adjusted for age and sex. Results: Children classified with probable DCD (pDCD) using FUNMOVES showed significantly higher BMI (95% CI: 0.96 to 4.30 kg/m²) and body fat percentage (95% CI: 3.99 to 10.24%) than TD peers. Differences in physical activity were not statistically significant between DCD and TD (95% CI: −0.68 to 0.01. No significant differences were found in dietary quality. When assessing motor development with MABC-2, the results followed similar trends but lacked statistical significance. Conclusions: Children with DCD are at increased risk of overweight and obesity, primarily due to lower physical activity rather than dietary differences. Early identification and targeted interventions are essential to promote healthier lifestyles in this population. Full article

Background/Objective: The global acceleration of population aging presents profound challenges to the physical, psychological, and social well-being of older adults. As traditional exercise programs face limitations in accessibility, personalization, and sustained social support, there is a critical need for innovative, inclusive, and community-integrated digital movement solutions. This study aimed to develop and evaluate Movement Poomasi, a hybrid digital healthcare application designed to promote physical activity, improve digital accessibility, and strengthen social connectedness among older adults. Methods: From March 2023 to November 2023, Movement Poomasi was developed through an iterative user-centered design process involving domain experts in physical therapy and sports psychology. In this study, the term UI/UX—short for user interface and user experience—refers to the overall design and interaction framework of the application, encompassing visual layout, navigation flow, accessibility features, and user engagement optimization tailored to older adults’ sensory, cognitive, and motor characteristics. The application integrates adaptive exercise modules, senior-optimized UI/UX, voice-assisted navigation, and peer-interaction features to enable both home-based and in-person movement engagement. A two-phase usability validation was conducted. A 4-week pilot test with 15 older adults assessed the prototype, followed by a formal 6-week study with 50 participants (≥65 years), stratified by digital literacy and activity background. Quantitative metrics—movement completion rates, session duration, and engagement with social features—were analyzed alongside semi-structured interviews. Statistical analysis included ANOVA and regression to examine usability and engagement outcomes. The application has continued iterative testing and refinement until May 2025, and it is scheduled for re-launch under the name Wello! in August 2025. Results: Post-implementation UI refinements significantly increased navigation success rates (from 68% to 87%, p = 0.042). ANOVA revealed that movement selection and peer-interaction tasks posed greater cognitive load (p < 0.01). A strong positive correlation was found between digital literacy and task performance (r = 0.68, p < 0.05). Weekly participation increased by 38%, with 81% of participants reporting enhanced social connectedness through group challenges and hybrid peer-led meetups. Despite high satisfaction scores (mean 4.6 ± 0.4), usability challenges remained among low-literacy users, indicating the need for further interface simplification. Conclusions: The findings underscore the potential of hybrid digital platforms tailored to older adults’ physical, cognitive, and social needs. Movement Poomasi demonstrates scalable feasibility and contributes to reducing the digital divide while fostering active aging. Future directions include AI-assisted onboarding, adaptive tutorials, and expanded integration with community care ecosystems to enhance long-term engagement and inclusivity. Full article

Background/Objectives: Despite an increase in the number of women medical graduates, gender disparities persist in academic anaesthesiology. Women in medical science face challenges in publications, research funding, editorial board membership, and peer review, and they remain under-represented, particularly in senior authorship and leadership positions. Methods: This repeated cross-sectional bibliometric analysis examined global trends and cross-country differences in the representation of women as first, co-, and senior authors of peer-reviewed articles published in five high-impact anaesthesiology journals over three decades, with a focus on developments in recent years. Gender was assigned to authors’ first names algorithmically in two steps (Gender API and NamSor). Results: A total of 7571 publications were analysed, comprising 37,738 authors. Women constituted 11,732 (31.09%) authorships in total, and men consistently accounted for a substantial majority among authors (p < 0.001). Despite a significant overall increase in authorship by women—peaking in 2022 at 590 (36.88%) first authors, 2245 (37.85%) co-authors, and 402 (28.05%) senior authors (all p < 0.001)—stagnation was observed in recent years, with no significant changes for first and co-authors after 2016 (p > 0.05). Country-level analysis revealed few significant differences, with Japan consistently reporting the lowest percentages of women authors. Conclusions: This study underscores persistent gender disparities in academic anaesthesiology, despite a moderate increase in authorship by women over three decades. Gender disparity remains a global issue, and the recent stagnation highlights the necessity for more comprehensive efforts and innovative strategies to foster a more inclusive research community in academic anaesthesiology. Full article