Search Results (5,808)

The media industry has undergone a myriad of challenges in recent years and in Ireland the impact of those challenges has been particularly acute in the regional print press. Changes in media consumption patterns, a shift from mainstream and digital media, advances in technology, reduced income from advertising and a decrease in newspaper circulation have all had a significant impact on the regional print press in Ireland. Semi-structured interviews were carried out with five owners and five editors of regional print newspapers. An overall negative view of the future of the industry, from a regional print perspective, was found. Survival is a priority and a lack of resources is a concern, as recruitment of staff—journalists and photojournalists—is limited or non-existent. All participants cited lack of revenue from advertising and struggles to generate any profit from online advertising as major concerns. While all maintained that editorial independence is a priority, in reality, the separation between newsrooms and commercial sections of media organisations has become less pronounced, amid commercial realities which are a source of disquiet. Full article

Background/Objectives: The mediating role of the diverse range of screen-based sedentary behaviors (SBs) remains understudied, particularly at younger ages. The present study examined the direct and indirect effects of parental BMI and education on ultra-processed food (UPF) consumption among preschoolers, testing the potential mediating role of screen time. Methods: The cross-sectional study sample comprised 919 kindergarten children (484 boys, 52.7%), with ages ranging from 2.2 to 6.8 years (mean: 4.7 ± 1.0 years). Screen-based sedentary behaviors (television viewing, smartphone use, tablet use, computer use, and playing electronic games) were measured by proxy-report fulfilled by parents, separately for weekdays and weekends. UPF consumption (drinks/yogurts, packaged/fast foods, and sweet/salty snacks) was assessed via 24 h recall scales. Path analysis mediation models tested direct effects of maternal/paternal BMI and education on UPF intake, and indirect effects through screen time, controlling for child age and sex. Results: Lower parental education and higher parental BMI were associated with increased mobile device use and UPF consumption (r = 0.10–0.28). Screen-based sedentary behaviors mediated the association between maternal BMI and UPF pathways (15–90% of total effects), particularly for sweet and salty snacks (50–90%). Parental education effects were also mediated by screen time (9–23% indirect effects), with paternal education showing stronger protection against packaged/fast foods. Conclusions: Mobile devices and watching television partially mediate intergenerational transmission of obesogenic dietary patterns from parental BMI/education to preschoolers’ UPF consumption. Findings of the current study support family-centered interventions targeting screen-time limits and UPF exposure, mainly at the weekends, to prevent early obesity trajectories. Full article

Background/Objective: Dizziness is managed using various therapies, including lifestyle changes, nutritional supplementation, pharmaceutical therapies, and physical therapy, each offering differing efficacy. With legalization of cannabis in Canada, patients are exploring its use in treating their dizziness and related symptoms. Limited knowledge exists regarding usage patterns, forms, doses, and effects on these symptoms. The current study aims to examine cannabis use in patients experiencing dizziness. Methods: We conducted a cross-sectional study at the Ottawa Hospital outpatient neuro-otology clinic. Eligible participants included new patients presenting with a primary complaint of dizziness and follow-up patients reporting new-onset dizziness. Participants completed a questionnaire capturing demographic data, dizziness and related symptoms, attitudes toward cannabis use, consumption patterns, and its perceived effects on their symptoms. Results: Of 154 participants, 118 (77%) expressed willingness to consider cannabis for dizziness and 78 (51%) reported previous cannabis use. Of those patients, 44 (56%) consumed it recreationally, largely via smoking (29/78, 37%). Approximately 21% of these patients reported a moderate–large subjective relief from dizziness after use of cannabis. The most common diagnoses amongst cannabis users were migraine/vestibular migraine (24%), persistent postural perceptive dizziness (22%), and benign paroxysmal positional vertigo (17%). Other related symptoms relieved by cannabis included sleep (28/78, 36%), emotional difficulties (17/78, 22%), neck pain/stiffness (14/78, 18%) and headaches/migraines (9/78, 12%). Conclusions: There is generally a positive attitude towards cannabis use in treating dizziness amongst patients, with a subset of patients reporting a subjective improvement of dizziness and its related symptoms, such as sleep and emotional difficulties. Full article

Background: Diet quality and food processing patterns are increasingly recognized as important determinants of Crohn’s disease (CD) risk and disease outcomes; however, direct comparisons with healthy populations using integrated nutrient- and processing-based frameworks remain limited. Therefore, we aim to quantify ultra-processed food (UPF) consumption using the NOVA classification, compare UPF intake between CD patients and healthy controls, and assess its association with diet quality indices. Methods: Baseline dietary intake data were analyzed from two randomized controlled trial cohorts: adults with mild to moderately active CD enrolled in the Crohn’s Disease Therapeutic Dietary Intervention (CD-TDI) trial (n = 64; NCT04596566), and healthy adults participating in the MAPMed study (n = 33, NCT06765369). Dietary intake was assessed using two non-consecutive 24 h recalls collected with the Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24^®). Energy-normalized macronutrient and micronutrient intakes were compared with Dietary Reference Intakes (DRIs). Overall diet quality was evaluated using the Healthy Eating Index-2020 (HEI-2015), Alternate Mediterranean Diet score (aMED), and Dietary Inflammatory Index (DII). Foods were classified according to the NOVA food processing system to estimate total and proportional energy intake from UPFs (NOVA group 4). Results: Both the CD cohort and healthy cohort exhibited suboptimal dietary patterns, with HEI scores indicating a need for improvement, low adherence to the Mediterranean diet (aMED), and neutral-to-pro-inflammatory DII scores, with no significant between-group differences (all p > 0.05). Although total energy intake differed between groups (p = 0.04), the proportion of energy derived from UPFs (NOVA group 4) accounted for half of the total intake in both cohorts (51.3–51.8%; p = 0.55). Higher UPF intake was associated with lower HEI and aMED scores and higher DII scores. Conclusions: In this study, there were no significant differences in the dietary patterns in those with CD compared to healthy controls. The high contribution of UPFs observed in both cohorts underscores widespread suboptimal dietary quality and highlights the utility of NOVA-based food processing measures as complementary to nutrient-based assessments for understanding diet-related inflammatory burden in CD. Full article

Background: Body mass index (BMI) is commonly used to assess nutritional status; however, it cannot distinguish between fat and lean tissue. In young adults, this limitation may mask excess adiposity and distort diet–adiposity associations. Bioelectrical impedance analysis (BIA) provides more detailed measures, including percent of body fat (PBF), skeletal muscle mass (SMM), and the visceral fat level. Objectives: To examine how combining BMI with BIA-based classifications of adiposity influences the assessment of diet–body composition associations in young adults. Methods: This cross-sectional study of 285 young adults (median age 18 years, IQR: 18–20) used InBody BIA to classify participants by BMI and PBF. Dietary habits were assessed via food frequency questionnaire covering eight food groups. Group comparisons used Mann–Whitney U tests with Cohen’s d effect sizes; correlations used Spearman’s rank correlation. Results: Thirty-five participants (12.3%) were BMI-Normal but PBF-High (normal BMI with elevated body fat), a phenotype missed by BMI screening; overall BMI-PBF agreement was 75.4%. Physical activity (IPAQ) correlated significantly with body composition markers, PBF (rho = −0.177, p = 0.003) and SMM (rho = +0.186, p = 0.002), but not with BMI (rho = +0.060, p = 0.310). BMI showed an inverse association with self-reported sweets consumption (rho = −0.138, p = 0.020), likely reflecting a reporting bias rather than true intake, as this pattern disappeared when examining actual adiposity (PBF: rho = +0.032, p = 0.591). Conclusions: Combining BIA with BMI may improve the detection of elevated body fat (12.3% prevalence of normal BMI with elevated body fat); BMI-based screening may not identify all individuals with elevated body fat. Physical activity associations support the complementary value of BIA alongside BMI. Apparent diet–BMI associations may be confounded by adiposity misclassification and reporting bias. Full article

Unmanned Aerial Vehicle (UAV) swarms operating in contested environments face a critical “semantic gap” between raw, high-velocity network traffic and high-level mission security constraints, compounded by the risk of privacy leakage during collaborative learning. Existing deep learning (DL)-based Network Intrusion Detection Systems (NIDSs) suffer from opacity, prohibitive resource consumption, and vulnerability to gradient leakage attacks in federated settings, while traditional rule-based systems fail to handle encrypted payloads and evolving attack patterns. To bridge this gap, we present NeSySwarm-IDS (Neuro-Symbolic Swarm Intrusion Detection System), an end-to-end differentiable neuro-symbolic framework that simultaneously achieves high accuracy, strong privacy guarantees, and built-in interpretability under resource constraints. NeSySwarm-IDS integrates an extremely lightweight 1D convolutional neural network with a differentiable Łukasiewicz fuzzy logic reasoner incorporating attack-specific rules. By aggregating only low-dimensional logic rule weights with calibrated differential privacy noise, we drastically reduce communication overhead while providing $(ϵ,\delta )$-DP guarantees with negligible utility loss. Extensive experiments on the UAV-NIDD dataset and our self-collected dataset demonstrate that NeSySwarm-IDS achieves near-perfect detection accuracy, significantly outperforming traditional machine learning baselines despite using limited training data. A detailed case study on GPS spoofing confirms the interpretability of our approach, providing axiomatic explanations suitable for autonomous mission verification. These results establish that end-to-end neuro-symbolic learning can effectively bridge the semantic gap in UAV swarm security while ensuring privacy and interpretability, offering a practical pathway for deploying trustworthy AI in contested environments. Full article

The retrofit of existing residential buildings plays a critical role in reducing energy consumption and carbon emissions in the building sector. However, previous retrofit evaluations often fail to account for the age-related thermal and lighting requirements of residents in aging residential buildings, thereby overlooking the substantial behavioral heterogeneity that shapes retrofit effectiveness. This study evaluates the comprehensive performance of different building envelope retrofit strategies, considering occupants’ thermal and visual comfort, from the perspectives of energy efficiency, economic feasibility, and environmental sustainability. First, age-specific differences in occupancy patterns, thermal preferences, and lighting requirements between elderly and non-elderly comparison group occupants were systematically extracted from the literature. Then, a typical high-rise residential building was modeled in EnergyPlus to serve as the reference building, within which the differentiated occupant behavior models were implemented, and the pre-retrofit condition was defined as the baseline scenario. Next, six commonly applied exterior wall insulation materials and different glass configurations and window frames were parameterized and evaluated under varying insulation thicknesses and remaining building service life scenarios. Finally, the energy-saving performance, economic benefits, and carbon reduction potential of envelope retrofit measures were quantitatively assessed across three primary functional zones (bedroom, living room, and study), using area-normalized indicators. The results indicate that, in the retrofit of existing residential buildings, bedrooms and study rooms exhibit greater retrofit benefits than living rooms, primarily due to longer occupancy durations and higher heating demand. In terms of retrofit strategies, exterior wall insulation consistently outperforms window retrofitting in energy-saving potential, with energy-saving rates of approximately 3.2–4.3% depending on functional zone, material type, and insulation thickness. Among the evaluated materials, vitrified microbead insulation performs best overall in terms of energy, economic, and carbon benefits at 40–60 mm thickness. These findings support occupant-informed, low-carbon retrofit decision-making for existing residential buildings. Full article

The Black Sea is highly vulnerable to environmental degradation, making the evaluation of contaminant transfer within its food webs essential for ecosystem protection, sustainable resource management, and human health risk assessment. Marine organisms accumulate contaminants through three main processes: bioconcentration (direct uptake from the abiotic environment), biomagnification (trophic transfer through consumption of contaminated prey), and bioaccumulation, which integrates contaminants from all exposure pathways. Despite numerous studies reporting contaminant concentrations in Black Sea waters, sediments, and biota, integrated analyses of trophic transfer within both pelagic and benthic food webs in the Romanian coastal sector remain limited. This study assessed the bioamplification of heavy metals—HMs, persistent organic pollutants—POPs (OCPs, PCBs) and polycyclic aromatic hydrocarbons—PAHs along the main pelagic and benthic food webs in the Romanian coastal sector, based on concentrations measured in representative invertebrate and fish species. The results revealed a compartment-driven contamination pattern, with the benthic food web functioning as an important reservoir and transfer pathway. Heavy metals showed variable and context-dependent trophic transfer, with selective amplification for Cu and Ni in some benthic links, trophic dilution or neutral transfer for Cd and Pb, and more consistent retention for Cr. In contrast, several PCB congeners showed clear biomagnification, particularly in benthic predator–prey relationships. PAHs displayed compound-dependent trophic transfer, with more pronounced amplification in benthic pathways. Overall, biomagnification was stronger for organic pollutants, particularly PCBs, than for heavy metals. The study contributes to two United Nations Sustainable Development Goals (SDGs): SDG 14 (Life Below Water) and SDG 12 (Responsible Consumption and Production). Full article

Eye-tracking is a key enabling technology for smart eyewear, supporting hands-free interaction, accessibility, and context-aware human–machine interfaces under strict constraints on size, power consumption, and computational complexity. While camera-based solutions provide high accuracy, their integration into lightweight and low-power wearable platforms remains challenging. This paper is a feasibility study for the design, simulation, and experimental evaluation of a photosensor oculography (PSOG) eye-tracking system that is fully integrated into an eyewear frame, based on near-infrared (NIR) emitters and photodiodes. The proposed approach combines simulation-driven optimization of the optical constellation, a multi-frequency modulation and demodulation scheme enabling parallel source discrimination and robust ambient-light rejection, and a resource-efficient signal acquisition pipeline suitable for embedded implementation. Eye rotations in azimuth and elevation are inferred from differential reflectance patterns of ocular regions (sclera, iris, and pupil) using lightweight regression techniques, including shallow neural networks and Gaussian process regression, selected to balance estimation accuracy with computational and power constraints. System performance is evaluated using a controllable artificial-eye platform under defined geometric and illumination conditions, enabling repeatable assessment of gaze-estimation accuracy and algorithmic behavior. Sub-degree errors are achieved in this controlled setting, demonstrating the feasibility and potential effectiveness of the proposed architecture. Practical considerations for translation to real-world smart eyewear, including human-subject validation, anatomical variability, calibration strategies, and embedded deployment, are discussed and identified as directions for future work. By detailing the optical design methodology, modulation strategy, and algorithmic trade-offs, this work clarifies the distinct contributions of the proposed PSOG system relative to existing frame-integrated and camera-free eye-tracking approaches, and provides a foundation for further development toward wearable and augmented-reality applications. Full article

Iron Age settlements in the Salento peninsula (Southern Italy, 8th–6th century BC) underwent fundamental transformations in social organization, marked by the emergence of local elites through trade development and intense contacts with the Greek world. This study examines organic residue assemblages from 99 ceramic sherds from one key Iron Age site to clarify the role of locally produced ceramics—both coarse ware containers and Japigian matt-painted vessels—in commensal and beverage production practices. Chromatographic analyses identified a wide variety of animal and plant by-products, including fats, oils, waxes, and resin compounds. Integrated phytolith and starch analysis revealed evidence consistent with fermentation processes, particularly through the identification of fungal remains and damaged starch granules suggesting brewing activities in a subset of vessels. Matt-painted pottery forms—characterized by conical rims, funnel-shaped necks, bowls, and jugs—show distinctive use-alteration patterns and residue profiles associated with fermented beverage consumption and preparation in approximately 26% of the analyzed assemblage. Integrating organic residue analysis, experimental archaeology, and microfossil investigation suggests the central role of locally produced pottery in Iron Age commensal activities and status display, though alternative interpretations for some biomarker profiles cannot be excluded. This multiproxy approach demonstrates functional differentiation and consumption practices, refining interpretations of vessel use and providing new insights into food economies and social life during the Iron Age in southern Italy. Full article

Pinching-antenna systems (PASSs) offer a low-complexity and reconfigurable solution for near-field downlink communications by deploying multiple radiating elements along a single waveguide. Existing studies mainly assume simplified propagation conditions or focus on spectral efficiency, while the impact of environment-dependent interference patterns arising from user-specific blockage conditions on energy-efficient design remains unclear. An energy-efficient downlink design for single-waveguide PASS based on environment-division multiple access (EDMA) is investigated. Under a given propagation environment, EDMA exploits user-dependent blockage and visibility differences through proper pinching-antenna placement, thereby inducing different multi-user interference patterns without increasing radio-frequency hardware complexity. We examine how such blockage-dependent interference influences the relationship between spectral efficiency and energy efficiency, and develop an energy-aware EDMA framework that jointly considers pinching-antenna locations and transmit power allocation under quality-of-service constraints. The resulting coupled design problem is solved through an alternating optimization procedure. EDMA is compared with conventional time-division multiple access (TDMA) using a unified hardware and power-consumption model. Numerical results reveal clear energy-efficiency threshold behaviors with respect to blockage intensity, user population, and service requirements. The results further show that EDMA can significantly outperform TDMA in specific operating regimes. Full article

Background: Many countries in sub-Saharan Africa are at risk of inadequate calcium intake, yet no data exist for vulnerable population groups in Madagascar. We aimed to assess daily calcium intake, the major contributing food sources, and the prevalence of inadequate intake in young children, adolescents, and women of reproductive age. Methods: The 2024 National Micronutrient Survey used a two-stage probabilistic design across all 23 regions. The daily calcium intake was estimated using a food frequency questionnaire that focused on calcium-rich foods that are commonly consumed in Madagascar and the calcium concentration measured in drinking water. Results: Calcium intake was low across all population groups, averaging 200–300 mg/d in adolescents and women and below 180 mg/d in young children. The prevalence of inadequate intake exceeded 96% in every population group. While calcium intake increased with increasing household wealth in children, the opposite pattern was observed for adolescents and women, whose intake decreased with increasing wealth. The main contributors to calcium intake were cassava leaves, cassava roots, small fresh and dried fish eaten with bones, drinking water across all population groups, and breastmilk in young children. Conclusions: The calcium intake is low throughout Madagascar and across all demographic groups. Strategies to improve intake are urgently needed and should include promoting continued breastfeeding and the consumption of calcium-rich, locally available, affordable foods such as small fish eaten with bones and leafy green vegetables, alongside a consideration of wheat flour fortified with calcium. Full article

The detection of anomaly energy consumption patterns in smart grid metering systems remains a critical issue. This is due to data imbalance, privacy constraints, and the dynamic nature of consumption patterns. To address these concerns, we present a privacy-preserving and scalable anomaly detection framework named as FedTheftDetect framework. The proposed framework integrates deep learning algorithms into a federated learning (FL) architecture through the incorporation of advanced ensemble classifiers to detect behavioral anomalies in daily consumption patterns. A real-world smart meter dataset with significant class imbalance is used to assess the suggested framework. The dataset had significant preprocessing to identify consumption-related anomalies in behavior. Experimental results demonstrate that the suggested framework outperforms the competitive centralized and distributed models. It achieves significant improvements in Accuracy, Precision, Recall, and F1-score, all of which are close to 0.95, which indicates a great predictive capability and reliability. Full article

Wild mushroom consumption is widespread worldwide and remains an important cause of foodborne intoxication. This concise review analyzes recent literature on the geographic distribution of poisonous wild mushrooms and the epidemiological patterns of intoxication reported in Asia, Europe, and the Americas. Most poisoning incidents occur as a result of the misidentification of toxic species as edible during mushroom foraging. Alongside well-known poisonous mushrooms, several newly identified toxic species have been reported in recent years. The available epidemiological evidence demonstrates clear regional clustering of poisoning incidents, pronounced seasonal peaks associated with mushroom growth, and a predominance of cases in populations where wild mushroom foraging is a traditional practice. Amatoxin-containing species of the genus Amanita remain the leading cause of severe and fatal intoxications worldwide. Overall, the analyzed studies indicate that wild mushroom poisoning continues to represent a significant food safety and public health concern, particularly in Asia and parts of Europe. Improved toxicological surveillance, public awareness, and timely clinical management are essential for reducing morbidity and mortality associated with these intoxications. Full article

This research addresses the urgent need to reduce carbon emissions in the footwear manufacturing industry by utilizing digital twin technology with project management frameworks. It focuses on identifying critical emission sources across the entire life cycle of shoe production from (i) material sourcing, (ii) manufacturing, and (iii) transportation, to (iv) end-of-life disposal. By data collection, infusing project management, and integrating digital twin approaches, the study offers a dynamic, data-driven method to simulate, monitor, and optimize carbon reduction strategies in real time. An extensive literature review and industry data analysis informs the assessment of carbon emissions and energy consumption patterns. Based on these insights, a tailored project management approach is followed to analyze the feasibility of the footwear sector to adopt sustainable practices such as renewable energy adoption, eco-friendly material sourcing, and closed-loop production systems. Validation was conducted using plant simulation software to model emissions scenarios and evaluate the effectiveness of proposed interventions. Case studies from leading brands, including Nike, Adidas, and Puma, were examined for Scope 1, 2 and 3, to extract the best practices and strategic insights. The research underscores the importance of combining digital tools with sustainability goals to create an environmentally conscious manufacturing ecosystem, highlights the role of policymakers in incentivizing green practices, and emphasizes collaborative industry efforts to accelerate change. The paper concludes by highlighting that digital twin systems provide effective, scalable solutions for reducing carbon emissions in footwear manufacturing. Full article