Search Results (613)

Background: The interplay between neuronutrition, physical activity, and mental health for enhancing brain resilience to stress and overall human health is widely recognized. The use of brain mapping via quantitative-EEG (qEEG) comparative analysis enables researchers to identify deviations or abnormalities and track the changes in neurological patterns when a targeted drug or specific nutrition is administered over time. High-functioning mild-to-borderline intellectual disorders (MBID) and autism spectrum disorder (ASD) constitute leading global public health challenges due to their high prevalence, chronicity, and profound cognitive and functional impact. Objective: The objectives of the present study were twofold: first, to characterize an extremely vulnerable group of children with functioning autism symptoms, disclosing their overall pattern of cognitive abilities and areas of difficulty, and second, to investigate the relevance of the effects of a mushroom (Hericium erinaceus) biomass dietary supplement on improvement on neurocognitive behavior. Methods: This study used qEEG to compare raw data with a normative database to track the changes in neurological brain patterns in 147 children with high-functioning autistic attributes when mushroom H. erinaceus biomass supplement was consumed over 6 and 12 months. Conclusions: H. erinaceus biomass in children with pervasive developmental disorders significantly improved the maturation of the CNS after 6 to 12 months of oral use, decreased the dominant slow-wave activity, and converted slow-wave activity to optimal beta1 frequency. Therefore, despite the lack of randomization, blinding, and risk of bias, due to a limited number of observations, it may be concluded that the H. erinaceus biomass may generate a complex effect on the deficits of the autism spectrum when applied to high-functioning MBID children, representing a safe and effective adjunctive strategy for supporting neurodevelopment in children. Full article

Growing consumer demand for sustainable food products has amplified the use of “green” marketing claims, yet transnational agri-food supply chains face a critical “perception–reality gap” due to data fragmentation and the absence of independent verification, fostering significant greenwashing risks. This study explores how the synergistic integration of Blockchain, Internet of Things (IoT), and Artificial Intelligence (AI) can bridge this gap. Utilizing a PRISMA-inspired qualitative systemic analysis and scenario modeling, we propose the “Converging Technologies for Sustainable Agri-Food” (CTSAF) model, formalized through a mathematical Green Claim Veracity Index (Vi) and AI-driven anomaly detection algorithms. The analysis evaluates three maturity-level scenarios against expert-calibrated Key Performance Indicators (KPIs). Results demonstrate that while traditional and blockchain-only systems remain vulnerable to the “Oracle Problem”, the integrated CTSAF model (Scenario III) achieves “Very High” performance in data accuracy and audit efficiency. By transforming passive record-keeping into an autonomous governance layer, this framework provides a strategic roadmap for substantiating environmental claims in alignment with the EU Green Claims Directive and the Digital Product Passport framework. Full article

Background/Objectives: Per- and polyfluoroalkyl substances (PFAS) are globally widespread contaminants linked to adverse health outcomes, including immune dysregulation. We aimed to characterize PFAS exposure among adolescents in Nepal. We conducted a cross-sectional study in Chitwan District, Nepal, during September–October 2023, enrolling 73 adolescents from the Chitwan Birth Cohort. Methods: Dried blood spots from 48 participants were analyzed for 45 PFAS by liquid chromatography–tandem mass spectrometry. Sociodemographic and contextual behavioral covariates information (e.g., water source and local fish consumption) were collected via questionnaire. We used linear regression to analyze the association between contextual behavioral covariates and PFAS concentrations. Results: PFOS was detected in 46% of samples, followed by PFNA (25%) and PFOA (12.5%); other PFAS were rarely detected. Participants who consumed locally caught fish more than once per month had significantly higher PFOS levels (β = 0.35, p = 0.006). Conclusions: Frequent fish intake was the only factor significantly associated with PFAS levels, suggesting a dietary exposure pathway. This study provides the first documentation of PFAS exposure among Nepalese adolescents, revealing low-level exposures. Findings underscore the need for ongoing surveillance of environmental contaminants in vulnerable populations. Full article

Food fraud, particularly in the olive oil sector, represents a pressing concern within the agri-food industry, with implications for consumer trust and product authenticity. Certified products like Protected Designation of Origin (PDO) Extra Virgin Olive Oil (EVOO) are premium products that undergo strict quality controls, must comply with specific production regulations, and generally have a higher market price. These characteristics make them particularly vulnerable to economically motivated adulteration. In this study, the adulteration of PDO EVOO with Olive Pomace Oil (POO) and Olive Oil (OO) was investigated through a combined analytical approach. A traditional technique, gas chromatography–mass spectrometry (GC-MS) combined with solid-phase microextraction (SPME), was employed alongside an innovative method based on an electronic nose equipped with metal oxide semiconductor (MOX) sensors. GC-MS analysis enabled the identification of characteristic volatile compounds, providing a detailed chemical fingerprint of the different oil samples. Concurrently, the MOX sensor array successfully detected variations in the volatile profiles released by the adulterated oils, demonstrating its potential as a rapid and cost-effective screening tool. The complementary use of both techniques highlighted the reliability of MOX sensors in differentiating authentic PDO EVOO from adulterated samples and underscored their applicability in routine quality control and fraud prevention strategies. Full article

Data-driven quality control (QC) systems for the hot forming of steel parts increasingly rely on deep learning models deployed at the network edge, making multivariate sensor time series a critical asset for both local decisions and management information system (MIS) reporting. However, these models are vulnerable to adversarial perturbations and realistic signal disturbances, which can induce misclassification and distort key performance indicators (KPIs) such as first-pass yield (FPY), scrap-related losses, and latency service-level objectives (SLOs). To address this risk, this study introduces a Digital-Twin-Conditioned Diffusion Purification (DTCDP) framework that constrains latent diffusion-based denoising using process states from a lightweight digital twin of the hot-forming line. At each reverse-denoising step, the twin provides physics residuals that are converted into a scalar penalty, and the diffusion latent is updated with a guidance term. This directly bends the sampling trajectory toward reconstructions that adhere to process constraints while removing adversarial perturbations. DTCDP operates as an edge-side preprocessing module that purifies sensor sequences before they are consumed by existing long short-term memory (LSTM)-based QC models, while exposing purification metadata and physics-guidance diagnostics to the plant MIS. In a four-week production dataset comprising more than 40,000 bars, with white-box ℓ∞ attacks crafted on multivariate sensor time series using Fast Gradient Sign Method and Projected Gradient Descent at perturbation budgets of 1–3% of the physical range, combined with additional realistic disturbances, DTCDP improves the robust classification performance of an LSTM-based QC model from 61.0% to 81.5% robust accuracy, while keeping clean accuracy (≈93%) and FPY on clean data (≈97%) essentially unchanged. These results indicate that physics-aware, digital-twin-guided diffusion purification can enhance the adversarial robustness of edge QC in hot forming without compromising operational KPIs. Full article

This literature review examined the relationship between energy drink consumption and cardiovascular health in young people. Following PRISMA 2020, we searched Scopus for articles published from 2020 to 2025 and included 33 original studies after screening 133 records. Evidence from observational, clinical, and experimental research was synthesized into six themes: youth consumption; direct cardiovascular outcomes; composition and toxicity; animal or cellular experiments; perceptions and habits; and occupational or sociodemographic factors. Across studies, habitual intake was linked to acute blood-pressure rises, arrhythmias, endothelial dysfunction, and metabolic disturbances, sometimes within 24 h of a single can. Risks were amplified by high caffeine and taurine doses and by co-use with alcohol or intense exercise. Adolescents and young adults were most vulnerable, due to heightened sympathetic responses, frequent use under academic or work stress, and limited risk perception. Authors highlighted five actions: longitudinal research; tighter ingredient monitoring and transparent labeling; consumer education; protection of vulnerable groups; and clinical guidance for responsible use. These results were observed across regions and study designs. Overall, the findings indicate that unregulated energy-drink consumption is a preventable cardiovascular risk in youth, justifying the use of coordinated public-health measures, including curriculum-based education, marketing restrictions, ingredient oversight, and clinical screening to mitigate harm. Full article

Potato (Solanum tuberosum) is an important crop globally, being a starchy, energy-dense food source rich in several micronutrients and bioactive compounds. Achieving food security for everyone is highly challenging in the context of growing populations and climate change. As a highly adaptable crop, potatoes can significantly contribute to food security for vulnerable populations and have outstanding commercial relevance. Specific pre- and post-harvest parameters influence potato quality. It is vital to understand how these factors interact to shape potato quality, minimizing post-harvest losses, ensuring consumer safety, and enhancing marketability. This review highlights how pre-harvest (cultivation approaches, agronomic conditions, biotic and abiotic stresses) and post-harvest factors impact tuber’s microbial stability, physiological behaviour, nutritional, functional attributes and frying quality. Quality parameters, such as moisture content, dry matter, starch, sugar, protein, antioxidants, and color, are typically measured using both traditional and modern assessment methods. However, advanced non-destructive techniques, such as imaging and spectroscopy, enable rapid, high-throughput quality inspection from the field to storage. This review integrates recent advancements and specific findings to identify factors that contribute to substantial quality degradation or enhancement, as well as current challenges. It also examines how pre- and post-harvest factors collectively impact potato quality. It proposes future directions for quality maintenance and enhancement across the field and storage, highlighting research gaps in the pre- and post-harvest linkage. Full article

Nutrition is a fundamental aspect of consumer behavior, closely linked to the satisfaction of basic household needs and strategies for purchasing food products. This study aimed to examine how fundamental food needs—specifically survival (daily food) and food security (food stocks)—shape purchasing behaviors, enabling the identification of vulnerable consumer segments and the delineation of patterns useful for producers and retailers. Data were collected through a cross-sectional survey (N = 1060) and analyzed using the Rao & Scott-adjusted Pearson chi-square test (R, version 4.4.3), considering key socio-demographic factors including gender, age, educational level, marital status, residence, and income. Results indicate that gender, age, and education significantly influence food purchases driven by the need for food security, whereas marital status is a significant factor only for survival-related purchases. Differences observed in other contexts were not statistically significant. Additionally, two multinomial logistic regression models were developed to predict consumer food purchases driven by fundamental needs, demonstrating high explanatory power. Each socio-demographic factor emerged as a significant predictor for at least one response category on the Likert scale, and the relative influence of each predictor was quantified. These models provide actionable insights for marketing strategies, including the identification of optimal store locations and the adjustment, diversification, or optimization of product ranges based on the characteristics of specific consumer segments and geographic areas. Full article

The integrity of certification processes in the agrifood and fishing industries is essential for combating fraud, ensuring food safety, and meeting rising consumer expectations for transparency and sustainability. Yet, current certification systems remain fragmented, and they are vulnerable to tampering and highly dependent on manual or centralized procedures. This study addresses these gaps by providing a comprehensive survey that systematically classifies blockchain-based certification technologies and methodologies applied to the fisheries sector. The survey examines how the blockchain enhances trust through immutable record-keeping, smart contracts, and decentralized verification mechanisms, ensuring authenticity and accountability across the supply chain. Special attention is given to case studies and implementations that focus on ensuring food safety, verifying sustainability claims, and fostering consumer trust through transparent labeling. Furthermore, the paper identifies technological barriers, such as scalability and interoperability, and puts forward a collection of functional and non-functional requirements for holistic blockchain implementation. By providing a detailed overview of current trends and gaps, this study aims to guide researchers, industry stakeholders, and policymakers in adopting and optimizing blockchain technologies for certification. The findings highlight the potential of blockchain to innovate certification systems, easing the way for more resilient, sustainable, and consumer-centric agrifood and fishing industries. Full article

This study examines the macroeconomic impacts of major earthquakes in Türkiye using annual data from 1990 to 2023. Despite growing global interest in disaster economics, evidence on how large seismic events shape national economic performance over extended periods remains limited, particularly in emerging economies. Using data from the World Bank, the Central Bank of the Republic of Türkiye, and the Disaster and Emergency Management Authority, the analysis incorporates real gross domestic product, gross fixed capital formation, consumer prices, and export capacity. A dummy variable identifies years with high-fatality earthquakes. After confirming stationarity, Johansen cointegration and a Vector Error Correction Model were applied. Results indicate that earthquakes exert a statistically significant negative influence on long-term economic growth. Based on the log-level specification, the long-run equilibrium level of real gross domestic product in earthquake years is approximately 45 percent lower than in non-earthquake years. Investment, price stability, and trade capacity support long-term growth. Model diagnostics confirm stability, normality, and no autocorrelation. These findings highlight the structural economic vulnerabilities created by major earthquakes and underscore that disaster risk reduction and resilient infrastructure policies must be integral components of sustainable growth strategies. The study contributes updated national time-series evidence from a structurally fragile context. Full article

This study analyzes the functioning and sustainability of the giant freshwater prawn (Macrobrachium spp.) value chain in the Mangroves Marine Park, Democratic Republic of Congo, using the VCA4D methodology, which integrates economic, social, and environmental dimensions. Data were collected through in-depth interviews, direct observations, and documentary review. The value chain, vital for local communities, also supplies urban markets in Boma, Muanda, Matadi, and Kinshasa. It involves five main actor groups: fishers, middlemen, retailers, restaurateurs, and consumers. High informality, fishers’ dependence on downstream actors, and the lack of traceability and sanitary control compromise overall efficiency and food safety. Value added is predominantly captured by urban retailers, particularly in Kinshasa. Socially and environmentally, the chain exhibits major vulnerabilities, including precarious livelihoods, low female inclusion, limited access to services, and anthropogenic pressures on ecosystems. The study therefore recommends, among other measures, establishing a sustainable management framework, including the protection of breeding areas and regulation of fishing effort, and strengthening actor capacities through improved preservation infrastructure and promotion of transparent pricing mechanisms. These measures aim to enhance the equity, resilience, and sustainability of this critical fishery resource. Full article

Small- and Medium-sized Enterprises (SMEs) play a crucial role in the global economy, accounting for approximately two-thirds of global employment and contributing significantly to the GDP of developed countries. Despite the availability of various cybersecurity standards and frameworks, SMEs remain highly vulnerable to cyber threats. Limited resources and a lack of expertise in cybersecurity make them frequent targets for cyberattacks. It is essential to identify the challenges faced by SMEs and explore effective defensive strategies to enhance the implementation of cybersecurity measures. The study aims to bridge the gap and help these organizations in implementing cost-effective and practical cybersecurity approaches through a systematic mapping study (SMS) conducted, where 73 articles were thoroughly reviewed. This research will shed light on the current cybersecurity approaches (practices) posture for different SMEs, along with the threats they are facing, which have stopped them from deciding, planning, and implementing cybersecurity measures. The study identified a wide range of cybersecurity threats, including phishing, social engineering, insider threats, ransomware, malware, denial of services attacks, and weak password practices, which are the most prevalent for SMEs. This study identified defensive practices, such as cybersecurity awareness and training, endpoint protection tools, incident response planning, network segmentation, access control, multi-factor authentication (MFA), access controls, privilege management, email authentication and encryption, enforcing strong password policies, cloud security, secure backup solutions, supply chain visibility, and automated patch management tools, as key measures. The study provides valuable insights into the specific gaps and challenges faced by SMEs, as well as their preferred methods of seeking and consuming cybersecurity assistance. The findings can guide the development of targeted defensive practices and policies to enhance the cybersecurity posture of SMEs for successful software development. This SMS will also provide a foundation for future research and practical guidelines for SMEs to improve the process of secure software development. Full article

Sustainability is an existing challenge in the coffee industry. For sustaining long-term coffee production, the social, environmental, and economic problems posed by agricultural production systems must be addressed. Voluntary sustainability standards (VSSs) are one of the strategies proposed to address these issues, which aim to guarantee sustainable production within a fair value chain. Organic certification is one of the main VSSs that is established in international markets, well-received by consumers, and overseen by nonprofit organizations. However, the organic production system in the coffee industry faces difficulties due to climate change, market volatility, financial and social risks, and the economic vulnerability of small producers. In this context, this narrative review focuses on the coffee production process, associated environmental impacts, and different sustainability models. Finally, this paper reviews the perspectives on challenges and opportunities of organic certification in the coffee industry and proposes theoretical frameworks based on the triple bottom line (TBL) model. This model can be implemented by small producers in high-value forest regions such as the Sierra Nevada de Santa Marta, Colombia, as well as coffee cultivation areas with similar ecological characteristics. Full article

Carbon steel casing material in high-temperature deep geothermal wells can be prone to severe corrosion and premature failure due to the oxidation capacity of H₂O, H₂S, CO₂, and more corrosive species in geothermal fluid. Due to the higher temperature and pressure and phase state of fluid in high-temperature deep geothermal wells, the rate and extent of corrosion can be expected to be different than in low-temperature geothermal wells. To reduce the extent of corrosion damage and corrosion rate, and increase the lifetime of geothermal wells, one mitigation method is to clad the internal surface of the geothermal casing with a more noble, corrosion-resistant material. Conventional cladding, however, has been an expensive and time-consuming process up to the current date, but recently, a more economical and productive method has been established, i.e., EHLA cladding. In this study, a 14-day corrosion performance test was conducted on stainless steel and nickel-based alloy clads on a carbon steel substrate in a 262 °C and 95 bar geothermal well in the Hellisheidi geothermal field (SW Iceland). Samples were partially or fully cladded, and some samples were stressed to investigate the clads’ susceptibility to general corrosion and stress corrosion cracking, as well as the substrate’s vulnerability to galvanic corrosion. Corrosion analysis of pure carbon steel substrate was also investigated for comparison. Samples were microstructurally analysed with SEM, and chemical analysis was performed with EDX. The results indicated that the clad materials have good corrosion resistance in the geothermal environment tested, suggesting that EHLA cladding is a more feasible option for strengthening the corrosion resistance of geothermal casing and equipment. Full article

This study examines the spatiotemporal evolution of China’s grain supply chain resilience and regional disparities from 2012 to 2022, employing provincial data and a multidimensional framework encompassing resistance capacity, adaptive adjustment capacity, and innovation-driven transition capacity, and utilizing entropy weight method, kernel density estimation, convergence models and barrier factor analysis with GIS (v10.8,2) visualization. The results reveal a fluctuating upward trajectory in the composite resilience index. However, spatial heterogeneity persists as Major Grain-Producing Areas demonstrate high resistance capacity but lag in transformation due to path dependency, Major Grain-Consuming Areas excel in innovation yet face vulnerability from import dependence, and Grain Self-Sufficient Areas display rapid adaptive capacity growth but spatial polarization intensifies. Theil index decomposition confirmed that inter-regional disparities dominated, reflecting uneven technological diffusion and institutional priorities. Key drivers include natural endowments, infrastructure investments, and digitalization, though threshold effects in policy regulation and path dependency paradoxes constrain convergence. This study advances a dynamic governance framework to balance resilience trade-offs and align supply chain modernization with sustainable food security goals. Full article