Search Results (214)

Seafood fraud, such as mislabeling low-cost rainbow trout as premium salmon, poses serious food safety risks and damages consumer rights. To address this growing concern, this study develops a deep learning-based, smartphone-compatible sensing system for fish meat identification and salmon freshness grading. By providing consumers with real-time, image-based verification tools, the system supports informed purchasing decisions and enhances food safety. The system adopts a two-stage design: first classifying fish meat types, then grading salmon freshness into three levels based on visual cues. An improved DenseNet121 architecture, enhanced with global average pooling, dropout layers, and a customized output layer, improves accuracy and reduces overfitting, while transfer learning with partial layer freezing enhances efficiency by reducing training time without significant accuracy loss. Experimental results show that the two-stage method outperforms the one-stage approach and several baseline models, achieving robust accuracy in both classification and grading tasks. Sensitivity analysis demonstrates resilience to blur and camera tilt, though real-world adaptability under diverse lighting and packaging conditions remains a challenge. Overall, the proposed system represents a practical, consumer-oriented tool for seafood authentication and freshness evaluation, with potential to enhance food safety and consumer protection. Full article

Pufferfish are an economically important food in Asia despite the potential risk of tetrodotoxin (TTX) poisoning. To promote food safety by ensuring the correct identification of pufferfish species, we developed common and species-specific primer sets for four Lagocephalus species (Lagocephalus spadiceus, Lagocephalus cheesemanii, Lagocephalus wheeleri, and Lagocephalus inermis) based on analysis of mitochondrial DNA cytochrome c oxidase subunit I (COI) in various pufferfish species commonly distributed and/or legally sold in Korea. The common primers were developed based on complete sequence data acquired from GenBank. The total length of fragments amplified by the common primer set was 1280 bp. Then, species-specific multiplex polymerase chain reaction (PCR) amplification was conducted for the four target species, obtaining 980 bp for L. spadiceus, 859 bp for L. cheesemanii, 672 bp for L. wheeleri, and 563 bp for L. inermis. Multiplex PCR is an important tool for the simple, rapid, accurate, and simultaneous identification of target species. The newly developed primer sets will contribute to reducing the occurrence of TTX poisoning and protect consumer rights by eradicating the mislabeling or fraudulent use of pufferfish products. Full article

Salmonella presents serious risks to human health, causing about 150,000 deaths per year through the consumption of contaminated food, especially chicken eggs. Consequently, risk of salmonellosis from chicken eggs is of significant interest to the Saudi Food and Drug Authority (SFDA). Models that predict the risk of salmonellosis from chicken eggs are valuable tools for protecting public health. After a review of existing models, the SFDA selected the Poultry Food Assess Risk Model (PFARM) for the purpose of evaluating its ability to assess the risk and severity of salmonellosis for a small cohort of chicken egg consumers in Riyadh, Saudi Arabia, as a proof-of-concept and pilot study. The PFARM was selected because it uses novel methods to consider more risk factors for salmonellosis than other models, such as growth potential and zoonotic potential of Salmonella, buffering capacity of the meal, and consumer behavior, health, and immunity. The SFDA examined chicken eggs from retail stores in Riyadh for Salmonella contamination and surveyed 125 consumers to obtain data for simulating how they store, prepare, and consume eggs at home, and their resistance to salmonellosis. The prevalence of Salmonella in chicken eggs at retail was 7% (7/100). The isolated Salmonella serotypes were Cerro (n = 4), Enteritidis, Stanley, and Winston. Salmonella’s mean number (growth units) per contaminated egg was 1.58 log₁₀ (range: 0 to 3.08 log₁₀). The mean category for consumer survey results ranged from 1.1 (very low risk) for meal preparation time to 3.7 (high risk) for home storage time with 34.4% of consumers having low resistance to salmonellosis. Per 100,000 egg meals, the PFARM predicted 88 infections, two illnesses, and no hospitalizations or deaths. The consumers who became ill were exposed to Salmonella Enteritidis, had moderate resistance to salmonellosis but high-risk behaviors for egg storage (temperature abuse), meal preparation (poor hygiene), and consumption (undercooked eggs). These results showed that the studied chicken eggs posed a low risk and severity of salmonellosis for the surveyed consumer cohort in Riyadh, Saudi Arabia, and that the PFARM was fit-for-purpose. The next step is to improve the PFARM and apply it more broadly in Saudi Arabia to better define the problem and its control. Full article

The digital revolution is transforming the financial services sector. Risk is not static; emerging risks continue to pose threats to the financial services sector which influences financial stability and consumer protection regulation mandates. This novel study presents a comparative bibliometric analysis of China and India in examining the effect of trends on the scholarly research outputs discussing the emerging risks in the fintech-driven digital banking environment. Furthermore, the mapping presents the geographical dynamics of Asia, followed by country-level perspectives. The period of study was from 2015 to 2024. Leveraging the Scopus database, data was extracted based on a specified query using the SPAR 4 SLR protocol. Analysis was performed on 162 articles from an initial list of 1257 articles using Scival and Vos viewer tools. Performance indicator metrics and science mapping enabled the answering of research questions. The findings revealed that research output is inclined towards India rather than China; this is despite China domiciling some big tech firms. Comparatively, India dominates when it comes to performance analysis metrics compared to China. The scientific mapping depicted in both countries shows the multifaceted effects of fintech on banking, including trends in user acceptance, competition, emerging risks, technological innovation, and financial stability. The strong connections in both countries across clusters highlight how fintech research is multi-disciplinary, spanning consumer behavior, finance, economics, and financial technology. This study provides a foundation on which a robust risk management framework, which is customized to digital banking existence, can be developed in the face of emerging risks. Full article

Background: Engineered nanoparticles (NPs)—titanium dioxide, silver, zinc oxide and silica—are widely used in cosmetics for UV protection, antimicrobial activity and texturising effects. Chronic consumer-level exposure may impair skin-barrier integrity, disturb microbiome composition and dysregulate immune signalling via the gut–skin axis. Current regulatory frameworks typically omit chronic- or microbiome-focused safety assessments, leaving potential gaps. Objectives: This study aimed to evaluate the long-term effects of cosmetic-relevant NPs (titanium dioxide, silver, zinc oxide, silica) on skin and gut microbiota, epithelial-barrier integrity and immune signalling—including telocyte- and exosome-mediated pathways—and to identify regulatory shortcomings, particularly the absence of microbiome endpoints, validated chronic models and consideration of vulnerable populations. Methods: Following PRISMA 2020, PubMed, Scopus and Web of Science were searched for English-language in vivo animal or human studies (December 2014–April 2025) meeting chronic-exposure criteria (≥90 days in rodents or >10% of lifespan in other species; for humans, prolonged, repetitive application over months to years consistent with cosmetic use). Although not registered in PROSPERO, the review adhered to a pre-specified protocol. Two independent reviewers screened studies; risk of bias was assessed using a modified SYRCLE tool (animal) or adapted NIH guidance (zebrafish). Owing to heterogeneity, findings were synthesised narratively. Results: Of 600 records, 450 unique articles were screened, 50 full texts were assessed and 12 studies were included. Oral exposure predominated and was associated with dysbiosis, barrier impairment, immune modulation and metabolic effects. Dermal models showed outcomes from minimal change to pronounced immune activation, contingent on host susceptibility. Comparative human–animal findings are summarised; telocyte and exosome pathways were largely unexplored. Regulatory reviews (EU SCCS, US FDA and selected Asian frameworks) revealed no requirements for chronic microbiome endpoints. Limitations: Evidence is limited by the small number of eligible studies, heterogeneity in NP characteristics and exposure routes, predominance of animal models and a scarcity of longitudinal human data. Conclusions: Cosmetic nanoparticles may disrupt the microbiome, compromise barrier integrity and trigger immune dysregulation—risks amplified in vulnerable users. Existing regulations lack requirements for chronic exposure, microbiome endpoints and testing in vulnerable groups, and neglect mechanistic pathways involving telocytes and exosomes. Long-term, real-world exposure studies integrating gut–skin microbiome and immune outcomes, and harmonised global nanomaterial-safety standards, are needed to ensure safer cosmetic innovation. Full article

Background: New tools for monitoring diets, such as the Diet Quality Questionnaire (DQQ), may help reduce the costs and burden associated with traditional methods of diet assessment. However, its proposed sentinel foods require validation in target populations. This study aimed to validate the Chilean sentinel foods and describe the performance of DQQ, as well as its Global Dietary Recommendation (GDR) indicators, in two Chilean cohorts. Methods: We analyzed dietary data from 1418 pregnant women and 799 children using 24 h recalls. Foods and beverages were classified and ranked into 29 DQQ food groups. Food items that accounted for more than 95% of the total consumption within each of the 29 food groups were selected and identified as sentinels. We estimated the proportion of consumers in each food group and calculated the indicators, as well as their relationship with the consumption of ultra-processed foods (UPFs). Results: The pregnant women had a mean age of 29.1 (SD 6.6), and the children had a mean age of 6.2 (SD 0.5). The sentinel foods of six groups (grain-based sweets, other sweets, salty snacks, deep-fried food, and sweet tea/coffee/cocoa) captured under 95% of the group’s total consumption. The pregnant women had a higher frequency of consumption of staple and healthy foods, and the mean GDR score was 9.3 (SD 2.20). The children had higher consumption of unhealthy food groups, and the mean GDR score was 8.1 (SD 2.05). The GDR-protect scores showed a moderate but statistically significant negative correlation with ultra-processed food consumption (p-value < 0.0001). Conclusions: The DQQ is a suitable tool for collecting dietary data to estimate diet quality using food group-based indicators. Additionally, it is possible to identify different dietary patterns at a crucial stage of life, such as childhood and pregnancy. However, it requires some adaptations of sentinel foods and further testing on other populations before it can be implemented to monitor Chilean diets. Full article

Brazil leads tropical agriculture, yet annual yield losses from insect pests and concerns over water contamination, non-target impacts, and resistance sustain demand for safer, more efficient control tools. This review synthesizes advances in nanopesticides for Brazil’s major crops (soybean, sugarcane, coffee, and citrus) and is organized into five parts, comprising concepts and definitions; formulation families; modes of action; efficacy evidence from laboratory, greenhouse, and field studies; and environmental and human health risk considerations. Evidence indicates that nano-enabled delivery can increase on-target deposition, prolong residual activity, and match or exceed control at reduced active ingredient loads by improving foliar adhesion, transcuticular transport, plant uptake, and spatiotemporal targeting with pheromone-releasing nanofibers and other dispensers. Because nanoformulations can alter exposure pathways and environmental fate, this review emphasizes nano-specific physicochemical characterization under use conditions, fate and transport in Oxisols and Ultisols, and tropical waters, ecotoxicity panels that include pollinators, aquatic invertebrates, soil biota, and vertebrate surrogates, and scenario-based exposure assessment for applicators, residents, and consumers. The review closes with practical guidance for Brazil: head-to-head efficacy benchmarks against commercial standards, the standardized reporting of release and characterization data, and a nano-specific environmental risk assessment checklist to help realize efficacy gains while protecting environmental and human health. Full article

Dual-inlet tail escapes, combining an orifice and a weir, are key hydraulic structures that evacuate excess water from canal termini during maintenance and protect berms by discharging surplus irrigation flows. Conventional sizing methods typically depend on trial and error, which is time-consuming and may yield suboptimal design. This study introduces a graphical design approach and a MATLAB-based tool, TAILOPT, developed to streamline tail escape design. The tool incorporates both the Fanning and Darcy–Weisbach friction formulations for head loss estimation and can automatically generate an “.inp” file for EPA-SWMM, enabling direct unsteady-state hydraulic assessment. This integration reduces design effort and supports evaluation of alternative hydraulic and drainage scenarios within a single workflow. Two applications illustrate the framework. The first shows that overly steep drainage slopes (Sp > 2%) are impractical, while vertical drops may require larger pipe diameters. The second application applies TAILOPT to a distributary canal, determining the optimal pipe size and verifying its performance in EPA-SWMM under emergency surplus flow and routine dewatering conditions. The results demonstrate that the method yields economical, robust, and practitioner-friendly designs; however, modeling simplifications, such as assuming continuously submerged orifice flow, can introduce minor deviations in the predicted channel emptying times. Full article

Powdered foods are matrices transformed into fine, loose solid particles through dehydration and/or milling, which enhances stability, storage, and transport. Due to their high commercial value and susceptibility to fraudulent practices, detecting adulterants in powdered foods is essential for ensuring food safety and protecting consumer health and the economy. Food fraud in powdered products, such as spices, cereals, dairy-based powders, and dietary supplements, poses an increasing risk to public health and consumer trust. These products were selected as representative matrices due to their high nutritional and economic relevance, which also makes them more susceptible to adulteration and hidden potential health risks from hidden contaminants. Recent studies highlight the potential of spectroscopic techniques combined with chemometrics as rapid, non-destructive, and cost-effective tools for authentication. This narrative review synthesizes recent literature (2020–2025) on the application of near-infrared (NIR) spectroscopy combined with chemometric techniques for adulterant detection in powdered foods. Advances in spectral preprocessing, variable selection, classification, and regression models are discussed alongside the most common adulterants and their nutritional and toxicological implications. Furthermore, the applicability of portable versus benchtop NIR devices is compared. The main contribution of this review lies in critically analyzing methodological frameworks, mapping current gaps, and identifying emerging trends, such as digital integration, self-adaptive chemometric models, and real-time on-site authentication, positioning NIR spectroscopy as a promising tool for food authentication and quality control. Full article

Background: Healthcare organizations face major challenges in protecting staff health and ensuring business continuity, particularly in high-risk settings. Wearable technologies are emerging tools to monitor occupational health indicators, improve staff safety, and strengthen organizational resilience. Objectives: This scoping review aimed to map the current evidence on wearable technologies in healthcare, focusing on their impact on occupational health, staff safety, and economic outcomes, as well as barriers and facilitators to their adoption. Methods: A systematic search was conducted in PubMed, Scopus, Web of Science, Embase, CINAHL, sources from inception to July 2025. Studies were included if they evaluated wearable technologies used by healthcare workers and assessed outcomes related to occupational health, organizational resilience, absenteeism, presenteeism, or cost-effectiveness. The review followed the Arksey and O’Malley framework and PRISMA-ScR guidelines. Results: 31 studies met the inclusion criteria. Most were pilot or feasibility studies; only two randomized controlled trials were identified. The wearable technologies evaluated included continuous physiological monitoring devices, real-time location systems, hands-free communication tools, and consumer-grade devices. Evidence suggests potential benefits in improving staff safety, reducing stress and burnout, and enhancing workflow efficiency. However, economic evidence was limited and outcomes varied considerably. Barriers included alert fatigue, privacy concerns, interoperability challenges, and limited staff engagement. Facilitators included leadership support, user-centered design, and adequate infrastructure. Conclusions: Wearable technologies show promise for supporting occupational health and organizational resilience in healthcare, but evidence remains fragmented. Full article

With the escalation of global warming and environmental pollution, electric products characterized by zero emissions, low vibration, and minimal pollution are increasingly favored by consumers. As a pivotal loading and transportation tool, the electrification of forklifts progressed earlier and is relatively mature. However, the prevalent low-voltage systems (72 V or 80 V) in current electric forklifts exhibit issues such as elevated heat loss, restricted motor instantaneous power due to voltage constraints, susceptibility to electrical erosion, and challenges in achieving rapid charging. To address these challenges, a powertrain solution employing high-voltage lithium batteries (320 V) as energy storage units for electric forklifts is proposed. The key parameters of the high-voltage lithium battery were meticulously calculated and selected. The powertrain architecture of the high-voltage lithium battery electric forklift was analyzed, and operational conditions were thoroughly examined. To verify the superior energy efficiency performance of the proposed high-voltage electric forklift in comparison to its low-voltage counterparts, a test prototype was constructed, and comprehensive tests, including average energy consumption and thermal equilibrium assessments, were conducted. The test results demonstrated that under average energy consumption conditions, the operational duration ranged from 8.89 to 13.34 h, surpassing the 7.5 h achieved by low-voltage electric forklifts. The thermal equilibrium temperatures of all electrical control units remained below 43 °C, significantly lower than the 80 °C shutdown protection threshold allowed for low-voltage forklifts. These findings indicate that the proposed high-voltage lithium battery electric forklift exhibits relatively low energy consumption, significantly enhances overall operational efficiency, and ensures stable operation, providing a viable solution and reference for the electrification of forklifts and other construction machinery. Full article

Background/Objectives: Bones are essential components of the human body, providing structural support, enabling mobility, storing minerals, and protecting internal organs. Bone fractures (BFs) are common injuries that result from excessive physical force and can lead to serious complications, including bleeding, infection, impaired oxygenation, and long-term disability. Early and accurate identification of fractures through radiographic imaging is critical for effective treatment and improved patient outcomes. However, manual evaluation of X-rays is often time-consuming and prone to diagnostic errors due to human limitations. To address this, artificial intelligence (AI), particularly deep learning (DL), has emerged as a powerful tool for enhancing diagnostic precision in medical imaging. Methods: This research introduces a novel convolutional neural network (CNN) model, the Multi-Level Feature Fusion Network (MLFNet), designed to capture and integrate both low-level and high-level image features. The model was evaluated using the Bone Fracture Multi-Region X-ray (BFMRX) dataset. Preprocessing steps included image normalization, resizing, and contrast enhancement to ensure stable convergence, reduce sensitivity to lighting variations in radiographic images, and maintain consistency. Ablation studies were conducted to assess architectural variations, confirming the model’s robustness and generalizability across data distributions. MLFNet’s high accuracy, interpretability, and efficiency make it a promising solution for clinical deployment. Results: MLFNet achieved an impressive accuracy of 99.60% as a standalone model and 98.81% when integrated into hybrid ensemble architectures with five leading pre-trained DL models. Conclusions: The proposed approach supports timely and precise fracture detection, optimizing the diagnostic process and reducing healthcare costs. This approach offers significant potential to aid clinicians in fields such as orthopedics and radiology, contributing to more equitable and effective patient care. Full article

We developed and validated a rapid, cost-effective multiplex PCR assay targeting mitochondrial cytochrome c oxidase subunit I (COX1) to discriminate three commercially important sea-squirt species, Halocynthia roretzi, H. aurantium and H. hilgendorfi ritteri. Species-specific forward primers were designed from interspecific single-nucleotide polymorphisms within the barcode region and combined with a common reverse primer in a single reaction. Specificity was confirmed in all tested individuals (n = 7 per species) without cross-amplification. Sensitivity tests demonstrated consistent amplification down to 0.1 ng of template DNA, matching or surpassing detection limits reported for other food-authentication markers. Because the entire reaction including DNA extraction can be completed within three hours and requires only basic laboratory equipment, the method is well suited for quality control laboratories, border inspections and routine monitoring of processed products. The COX1 multiplex PCR set proposed here provides a reliable tool to enhance traceability, protect consumer choice, and support regulatory enforcement in the sea-squirt supply chain. Full article

Soils are critical natural resources, yet their abiotic contributions to ecosystem services remain largely unexplored in valuation studies. This pilot study represents, to the best of our knowledge, the first attempt to assess the perceived value of geosystem services (GSs) from a consumer perspective. Using a discrete choice experiment with 200 respondents, we evaluated preferences for Rotella apples and Moscatello wine through mixed multinomial logit and latent class models. Results show that attributes related to soil use and soil control were consistently significant drivers of consumer utility (e.g., odds ratios of 9.38 and 5.78 for Moscatello wine and 8.46 and 5.56 for Rotella apples, respectively; p < 0.01). These attributes align more closely with the concept of a “geological fingerprint” than with existing geographical labeling schemes such as the Protected Designation of Origin. Price effects were statistically insignificant, indicating virtually no influence on choices. Both estimated models revealed preference heterogeneity and a substantial number of no-buy responses. This suggests both limited consumer familiarity with GS concepts and a limitation of our attribute descriptions, which likely failed to convey information needed for effective purchasing decisions. This study is exploratory and limited by its convenience sample, imperfect price specification, and inability to estimate willingness-to-pay measures. Nevertheless, it provides empirical support for introducing geological footprint labeling and highlights the need for improved consumer information, policy tools, and public campaigns to promote recognition and sustainable management of geodiversity in agriculture. Full article

Tourism’s rapid growth has significant and negative effects on the environment, society, and economy. Sustainable tourism practices are essential in order to mitigate these effects. Virtual reality (VR) technologies offer the possibility of implementing sustainable tourism policies by providing immersive experiences that replace real ones. Moreover, VR can be a useful tool for the protection and promotion of cultural and natural heritage. The article discusses the potential directions for sustainable tourism using VR. This technology can reduce the burden on popular tourist sites without losing their value to visitors. Additionally, it can promote less popular destinations in the wider public awareness. A case study of the implementation of a virtual tour at the Pahlavon Mahmud Mausoleum in Khiva (Uzbekistan) is presented. The research method was designed to evaluate the acceptability of VR technology among a convenience sampling of n = 57 Gen Z consumers (university students 20–24 years of age), who completed interviews following their participation in a voluntary virtual walking tour. The research results suggest that VR can be an acceptable and useful tool for implementing sustainable tourism policies in the near future. Another conclusion is that virtual sightseeing should not fully replace onsite tourism. Full article