Search Results (3,616)

Background: The Physical Internet (PI) promotes resource sharing among independent firms. This can improve logistics efficiency, but shared route capacity and limited compensation may also create unequal outcomes among firms. Methods: This study develops a framework for coordinated logistics planning under shared route capacity constraints. The framework includes two coordination rules. Model 3.3 is an efficiency-oriented participation-guaranteeing rule with individual rationality constraints. Model 3.4 is a fairness-oriented rule that minimizes the maximum firm-level disadvantage under a limited compensation budget. Numerical experiments are conducted using a stylized Japanese domestic consumer goods distribution network. Results: Coordinated planning reduces total logistics cost compared with decentralized sequential allocation. Model 3.3 achieves the lowest system cost but gives benefits unevenly. Model 3.4 gives more balanced firm-level outcomes and improves the worst-off firm in the tested scenarios. The results also show that substantial fairness improvements can be obtained through small route-allocation changes. Conclusions: The study shows how two coordination rules can be used in PI-oriented logistics coordination. Model 3.3 is useful when firms need a no-loss guarantee, especially in an early stage. Model 3.4 is useful in a mature or repeated coordination stage, where the platform needs to avoid excessive disadvantage. Full article

Background: Oral food challenge (OFC) remains the gold standard for diagnosing food allergy; however, it is time-consuming and associated with the risk of allergic reactions. The identification of reliable biomarkers capable of predicting OFC outcomes could improve patient selection and reduce the number of OFCs required in clinical practice. Among the most widely used biomarkers are skin prick tests (SPTs) and serum-specific IgE (sIgE) measurements, including component-resolved diagnostics. However, their diagnostic utility, as well as the comparability of different diagnostic platforms, remains incompletely defined in cow’s milk (CM) and hen’s egg (HE) allergy. Methods: We retrospectively analyzed results of diagnostic tests obtained in children undergoing OFCs to baked milk, raw milk, baked egg, and boiled egg. Diagnostic performance of SPTs to either allergen extracts or native food allergens, as well as sIgE measured using ImmunoCAP and ALEX2 platforms, was evaluated using receiver operating characteristic (ROC) analysis and logistic regression models. Results: Diagnostic performance varied across allergy phenotypes. SPTs to native food allergens demonstrated good discriminative capacity for raw milk and boiled egg allergy, whereas SPTs to standardized extracts showed limited diagnostic utility overall. In baked milk allergy, casein-sIgE measured by ImmunoCAP demonstrated the best diagnostic performance. In raw milk allergy, α-lactalbumin-sIgE measured using ALEX2 platform and β-lactoglobulin-sIgE measured by ImmunoCAP showed greater diagnostic relevance than casein-sIgE. In boiled egg allergy, SPT to raw egg yolk demonstrated the highest diagnostic value. In baked egg allergy, ovalbumin-sIgE measured using the ALEX2 platform showed the best performance, while ovomucoid-sIgE did not demonstrate clear superiority. ALEX2 showed good concordance with ImmunoCAP despite systematic differences in absolute sIgE values. Combined multivariable models provided only modest improvements over single predictors and did not achieve sufficient accuracy to replace OFCs. Conclusions: SPTs to either allergen extracts or native food allergens, as well as sIgE measurements, demonstrate moderate and heterogeneous utility in predicting OFC outcomes for CM and HE allergy. Although ALEX2 and ImmunoCAP showed comparable overall performance, platform-specific interpretation may be required. OFC remains indispensable for definitive diagnosis. Full article

Spirulina, a cyanobacterium recognized for its nutritional and environmental advantages, has emerged as a potential ingredient for sustainable diets. Consumer acceptance remains limited despite its benefits, particularly due to sensory challenges and limited prior awareness. This study aimed to investigate knowledge, consumption patterns, and attitudes toward Spirulina among a Brazilian sample. A cross-sectional online questionnaire distributed via social media and public spaces yielded 933 valid responses, categorized into three groups based on prior awareness and consumption history. Results indicated limited prior awareness and low consumption, with more than half of consumers having tried Spirulina only once. Education, income, generation, and health-related behaviors were associated with knowledge and consumption, although most effect sizes were small. Knowledge of Spirulina was concentrated on nutritional attributes, whereas environmental and technological attributes were less widely recognized. Health and environmental benefits were most often rated as increasing willingness to consume Spirulina, while self-reported barriers included taste, smell, and issues related to powdered and capsule forms. Preferred applications were in familiar food categories such as baked goods and powdered mixes. These findings indicate that Spirulina occupies a niche position among respondents and suggest the relevance of sensorially acceptable formulations, tailored communication strategies, and inclusive educational efforts. Full article

Cortisol, as a crucial biomarker reflecting psychological stress and physiological status, requires rapid and sensitive detection for health assessment and disease diagnosis. Conventional methods are time-consuming, operationally complex, and costly, limiting their use for point-of-care testing. This study reports a flexible, aptamer-based capacitive biosensor that exploits alternating current electrokinetics for ultrafast detection of cortisol in small-volume samples. Aptamers are immobilized via Au-S self-assembly on gold interdigitated electrodes on a PET substrate, and ACEK-induced fluid motion and dielectrophoresis rapidly enrich cortisol at the electrode interface, producing measurable interfacial capacitance changes ΔC/C₀. The experimental results demonstrate that the sensor achieves a detection limit of 0.337 ng/mL in artificial sweat, with a response time within 1 min and a good linear response across the concentration range of 1 to 1000 ng/mL. Requiring only 10 μL of sample, the sensor exhibits good repeatability, specificity, and interference resistance, making it suitable for rapid cortisol level detection. To enhance detection stability, this study designed and integrated a microfluidic chip, enabling efficient sample delivery and stable detection. The system demonstrates strong interference resistance, revealing potential applications in health management and disease monitoring. Full article

Grocery shopping remains a heavily car-dependent activity in urban areas, even for short-distance trips within residential neighbourhoods. A primary barrier to shifting toward active travel (walking or cycling) is the physical burden of carrying heavy or bulky goods. This study investigates whether a retailer-managed home delivery service could encourage consumers who currently rely on motorised modes for grocery shopping to shift towards active travel while preserving the in-store shopping experience. The analysis focuses on urban Italian consumers who currently use motorised modes for grocery shopping. Using a Stated Preference (SP) experiment and a Mixed Logit (MMNL) model (n = 88), we analyse the conditions under which such a service may encourage the adoption of active travel modes and support proximity-based shopping patterns. Given the exploratory nature of the study and the small, non-representative sample, the findings should be interpreted as preliminary evidence for urban motorised grocery shoppers rather than as representative of the Italian population. The results indicate a substantial willingness among respondents to adopt the proposed service configuration. Delivery time, service cost, and the availability of delivery time-window selection emerge as critical factors influencing consumers’ choices. Acceptance of the service is also influenced by perceptions of walking and cycling infrastructure quality, trust in the integrity of delivered groceries, preferences for local products, and concerns regarding the working conditions of delivery personnel. Additionally, the model reveals significant heterogeneity in preferences regarding delivery by drone/autonomous vehicle and a 100% reduction in greenhouse gas emissions relative to conventional motorised transport. Younger respondents exhibit a more favourable attitude towards automated delivery technologies, while differences in the valuation of environmental benefits emerge between male and female respondents. The findings suggest that retailer-managed home delivery may represent a promising mechanism for encouraging active travel among current motorised grocery shoppers, while maintaining consumers’ relationship with neighbourhood retail services. These results provide retailers and urban policymakers with valuable insights, suggesting that appropriately designed delivery services may support more sustainable and proximity-oriented shopping behaviours. Such services could potentially contribute to maintaining the accessibility and vitality of neighbourhood retail activities, particularly in ageing urban contexts. Full article

‘Jinyan’ is an interspecific hybrid kiwifruit (Actinidia eriantha × A. chinensis). It is a large, yellow-fleshed fruit with good taste and long storage potential. It is commonly referenced that storage potential is linked to the harvest maturity of the fruit and the subsequent temperature management. Hence, the findings from research covering the maturation, storage temperatures, ripening, and quality of ‘Jinyan’ fruit from the same orchard across three seasons have been evaluated with an overall objective of defining harvest and storage criteria for ‘Jinyan’ fruit. Good postharvest performance includes fruit not becoming too soft too soon in storage and retaining firmness at shelf temperatures. It was confirmed that harvest maturity is critical to the good storage performance of ‘Jinyan’ kiwifruit. Harvest time significantly affected fruit softening during cold storage, and treatment with the ethylene action inhibitor 1-methylcyclopropene slightly delayed fruit softening. Harvesting much before 180 days after full bloom, or at <9% soluble solids content (SSC), resulted in high incidences of chilling injury (41.8–52.0% after 24 weeks of cold storage at 1 °C + 7 d at 20 °C). These chill-damaged, early-harvested fruits also had a high incidence of rot. Leaving the fruit on the vine much after this threshold reduced chilling injury, but increased the risk of rot on otherwise sound fruit (total rot incidence ranging from 25.9% to 89.0% depending on maturity at harvest). As well as chilling risk, early-harvested fruit may reduce the consumer’s liking of the fruit because of a reduced ripe fruit SSC (rSSC). Consumer liking may also be reduced for long-stored fruit in years of low fruit dry matter content. The impact of low rSSC on consumer liking and the presence of any threshold values requires confirmation. These findings define a clear indication of when fruit should be harvested for long storage, whilst minimizing the risk of disorders. Full article

Sustainable Development Goal 3 (SDG 3: Good Health and Well-being) aims to ‘ensure healthy lives and promote well-being at all ages’. Therefore, in today’s world, shaping children’s sustainable and healthy eating choices is crucial in terms of directly impacting their long-term health, supporting environmental sustainability, and strengthening social and economic development. In this manner, the purpose of the present study was to examine whether greenhouse-based education improves students’ sustainable and healthy eating choices. An educational design-based research model was followed in the current study. The research was conducted with 20 third-grade students from a private school in Istanbul, Türkiye. Greenhouse-based education that includes activities focused on sustainable agriculture and healthy nutrition was implemented for 6 weeks. The data were collected with semi-structured interviews before and after instruction. In the data analysis, the content analysis was used. The findings revealed that greenhouse-based instruction developed students’ sustainable and healthy eating choices. After greenhouse-based education, the majority of students have started to adopt healthier eating habits like consuming environmentally friendly foods, such as more fresh/seasonal fruits and vegetables, whole grain products, local organic foods, nutrient-dense foods, foods that are good for their health, reusing food waste, etc. Therefore, the results showed that greenhouse-based instruction can have the potential to transform eating choices, instill lifelong healthy habits, and cultivate a generation that is both nutritionally conscious and environmentally responsible. Full article

Triboelectric nanogenerators (TENG) show significant potential in pressure sensing by converting mechanical disturbances into electrical signals positively correlated with the magnitude of the applied force, yet their development as practical pressure sensors is severely hindered by the major drawback of only detecting transient mechanical inputs. Additionally, traditional dual-mode pressure sensors have typically required complex multilayer structures and time-consuming fabrication processes. Here, a simple dual-mode pressure sensor of novel structure integrated with TENG and anodic aluminum oxide (AAO) for both dynamic and static pressure detection is proposed. Nanoporous AAO is directly grown on an aluminum substrate to simplify the traditionally complex multi-layer structure of dual-mode pressure sensors. The AAO layer serves a dual functionality by acting as an active triboelectric layer that significantly enhances the triboelectric output performance while concurrently functioning as the capacitive dielectric layer. A polydimethylsiloxane (PDMS) film is employed as the elastic counterpart to pair with the AAO substrate. The influence of PDMS thickness on the charge accumulation and extraction of the TENG mode is investigated to optimize the device output. Under optimal configurations, the streamlined Al-AAO/PDMS sensor demonstrates good sensitivity and linearity (R² > 0.99) for both dynamic triboelectric voltage (1.05 V/kPa) and static capacitance (5.56 pF/kPa) over a wide sensing range of 1–73 kPa. This dual-mode sensor effectively overcomes the transient limitation of conventional single-mode TENGs and shows significant potential for future smart tactile applications. Full article

Background: The increasing prevalence of overweight and obesity highlights the need for practical and sustainable dietary strategies for weight management. Although dietary fibre intake is associated with improved satiety and metabolic health, achieving recommended intake levels through whole foods alone remains challenging. Evidence supporting convenient, ready-to-consume fibre beverages in free-living overweight adults is also limited. Therefore, this study evaluated the effects of a soya-based dietary fibre beverage (SBB) on body composition and metabolic parameters in overweight adults. Methods: A 12-week parallel, cluster-randomized controlled trial was conducted on overweight university students and staff. An intervention group (IG) (n = 21) consumed the soya-based dietary fibre twice daily for 12 weeks, while the control group (CG) (n = 21) continued their habitual diet. Results: Significant group × time interactions were observed for body weight (p < 0.001), BMI (p = 0.021), waist circumference (p = 0.046), waist-to-hip ratio (p = 0.042), and body fat percentage (p = 0.004). The IG showed reductions in body weight (−1.12 kg), waist circumference (−4.29 cm), and body fat percentage (−0.73%), whereas the CG demonstrated minimal changes. No significant changes were observed in fasting glucose, lipid profile, CRP, or IL-6, suggesting no clinically significant adverse biochemical changes during the intervention period and supporting its short-term tolerability. Dietary analysis confirmed a marked increase in fibre intake in the IG (~50 g/day), indicating good adherence to the intervention. Conclusions: SBB supplementation improved body composition and central adiposity without affecting systemic inflammatory biomarkers and may represent a practical dietary approach for weight management in free-living overweight adults. Further studies are needed to confirm its long-term efficacy and safety. Full article

This paper considers a multi-period two-sided asymmetric information model with infinitely long-lived sellers and short-lived buyers. I assume that two exogenously given qualities are offered in the market. Each period, a consumer, who is uncertain about the quality of the offered product, observes her pairwise matched seller’s price and a noisy signal of quality that cannot be manipulated by the seller. Prices are fixed and it is common knowledge that consumers are not willing to pay a high price for the low-quality product. A matched seller with a low-quality good can choose to be either honest (by charging the lower market price) or dishonest (by charging the higher price). Sellers’ incentives to misrepresent quality depend on how current trade outcomes affect future access to consumer traffic. I show that the strength of the informational role of prices is non-decreasing in the intensity of competition for future consumer traffic in equilibrium and that consumers do not benefit from more intense competition. Full article

The occurrence of pesticide residues in pome fruits and their implications for consumer health remain critical concerns in food safety. In this study, 222 pesticide residues were analysed in 155 samples of apples, pears, and quinces collected from Türkiye between October 2025 and March 2026 using liquid chromatography–tandem mass spectrometry (LC-MS/MS). Residues were detected in 76.4% of apples, 86% of pears, and 30% of quinces, with frequent multi-residue patterns and notable occurrences of non-approved compounds. Pear samples exhibited the highest contamination levels, with maximum residue level (MRL) exceedance rates reaching 30%, compared to 14.5% in apples and 2% in quinces. Quality assessment based on the index of quality for residues (IqR) indicated that 96% of quince samples were classified as excellent or good, demonstrating the most favourable profile among the evaluated commodities. Risk ranking analysis further indicated that acetamiprid was the only high-risk pesticide in apples, whereas residues in pears were predominantly medium risk, and all detected compounds in quinces fell within the low-risk category. Deterministic risk assessment indicated that chronic exposure remained well below levels of concern for both adults and children. Under combined pome fruit consumption, acetamiprid and spirodiclofen were identified as the main contributors to chronic hazard index (HIc), accounting for 33% and 13% of HIc, respectively. However, acute exposure exceeded the safety threshold (HQa > 1) in children for acetamiprid in both apples and pears. Probabilistic modelling confirmed right-skewed exposure distributions and highlighted increased risk under cumulative consumption scenarios. Full article

Background: Manually contouring the organs at risk (OARs) is a time-consuming process with significant variability. Multiple commercial options are available to streamline this process by utilizing artificial intelligence. This study compares the performance of two commercially available systems, MIM Contour ProtégéAI v4.0.0 (MIM) and Radformation/Limbus AI v1.7.0 (Limbus), in auto-contouring head and neck (H&N) OARs. Methods: We conducted a retrospective single-institution study with 20 patients who received curative-intent H&N radiation therapy. Seventeen OARs, bilateral where applicable, were manually contoured for each patient, which established a reference for comparison. Dice coefficient (DC), mean Hausdorff distance (HD_mean), and maximum Hausdorff distance (HD_max) were compared relative to the manual reference. Subjective contour quality was graded on a Likert scale. Wilcoxon signed-rank test with Benjamini–Hochberg false discovery rate procedures were used to compare outcomes. Results: Twenty patients were selected with a variety of H&N primary sites. The total number of OARs used for comparison was 480. Three quarters of patients were male, the mean age was 60.5 years (SD = 12.8), and the mean BMI was 23.53 kg/m² (range 16.9–42.4). MIM performed more consistently with the manual reference (adjusted p < 0.05) compared to Limbus when contouring the bilateral brachial plexus and mandible. Limbus performed more consistently than MIM when contouring the left lacrimal gland, larynx, optic chiasm, bilateral optic nerves, right parotid, and esophagus. The DC, HD_mean, and HD_max were not statistically different between MIM and Limbus for the remaining structures. Both AI algorithms had high performance on the mandible, eyes, thyroid, and salivary glands, and poor performance on the optic chiasm, lacrimal glands, and brachial plexuses. The subjective quality of the auto-contours from both systems were good, with most structures requiring no or minor changes only. The structures most likely to require revisions were the pharyngeal constrictors, larynx, and submandibular glands. Limbus achieved better subjective scores than MIM for four of seventeen structures. Conclusions: This comparison of two AI auto-contouring systems demonstrated performance consistent with the manual reference for most H&N OARs. Each system had strengths and weaknesses in auto-contouring specific OARs. Full article

This paper examines changes in the macroeconomic indicators of the member countries of the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) following their accession to the agreement. This study aims to identify shifts in the structural comparability of national economies and to assess the processes of macroeconomic convergence in the context of sustainable development. To achieve this objective, reference pools of CPTPP member countries are constructed, and their digital profiles are developed based on key macroeconomic indicators and grouped into three blocks: (1) indicators of economic growth and the state of the real sector, including GDP (constant 2015 US$), GDP growth, annual %, gross capital formation, % of GDP, unemployment, total % of total labor force, and national estimate; (2) indicators of foreign economic activity and trade openness, including exports of goods and services, % of GDP, imports of goods and services, % of GDP, external balance on goods and services (% of GDP), foreign direct investment, net inflows, % of GDP, and trade, and % of GDP; (3) indicators of financial and macroeconomic stability including inflation, consumer prices, annual %, central government debt, % of GDP, and gross savings, and % of GDP. Based on the digital profiles, similarities/differences in the economies were examined by applying linear discriminant analysis (LDA). The empirical framework covers two periods: (1) 2013–2017 (pre-accession) years and (2) 2019–2023 (post-accession) years. The results indicate that the economies of member countries in 2013–2017 exhibited a high degree of heterogeneity. In contrast, the 2019–2023 period demonstrates a tendency toward partial convergence of macroeconomic parameters, as evidenced by a reduction in distances between country profiles in the discriminant space. While interpreting the results, it is acknowledged that the 2019–2023 period coincided with the effects of the global crisis caused by the COVID-19 pandemic, which significantly impacted international trade dynamics. For most countries, this period was characterized by a decline in several macroeconomic indicators and investment activity, an increase in debt burdens, and enhanced heterogeneity in economic dynamics, which was taken into account when interpreting macroeconomic convergence processes within the CPTPP. The scientific novelty of the study lies in its application of an approach based on the analysis of the structural similarity of the macroeconomic profiles of CPTPP countries, which complements traditional assessments of the effects of economic and trade integration. The practical significance of the findings is associated with their potential use in evaluating the prospects for CPTPP expansion and in modeling alternative scenarios of participation and sustainable development within international trade agreements under conditions of global economic transformation. Full article

This work presents the development and validation of an automated 3D scanning device based on two opposed consumer-grade Apple TrueDepth sensors integrated into a controlled rotational architecture, designed for the digitization of complex freeform surfaces such as the external cranial geometry. The system design was guided by a prior metrological characterisation of the sensor’s distance-dependent behaviour and complemented by an additional study of the influence of surface orientation, from which a suitable operating window for complete head acquisition was derived. On this basis, a mechatronic system was implemented comprising a mechanical structure, electronic hardware, a control architecture, and a calibration procedure that registers the local point clouds from both sensors into a common global coordinate system. Geometric validation was performed using symmetric and asymmetric cranial phantoms digitized with both the proposed device and a professional reference scanner. Surface comparison revealed localized discrepancies concentrated in fine anatomical details, while the cranial vault showed good overall agreement, with RMS deviations of 0.314 mm and 0.286 mm for the symmetric and asymmetric phantoms, respectively. Morphometric consistency was assessed through the cranial vault asymmetry index (CVAI), for which both systems produced the same general trend with a maximum difference of 0.2%. These results demonstrate the feasibility of the proposed system as a geometrically consistent and morphometrically reliable instrument for head surface digitization under controlled laboratory conditions. Full article

Timely landslide detection and rapid qualitative assessment are fundamental to effective warning systems, hazard management, and risk mitigation. Yet, current practices that rely on on-site surveys and manual expert assessment remain risky, costly, and time-consuming. These limitations result in substantial delays between the event and the availability of actionable information. This study proposes a hybrid, multi-model framework that fuses RGB remote-sensing imagery with geospatial layers to enable timely landslide detection and actionable reporting. The pipeline couples an enhanced SegFormer (denoted as SDF-SegFormer-B2) model for landslide localization, a feature extraction technique for per-slide geo-attribute computation, and a lightweight instruction-tuned LLM (Mistral-7B-Instruct-v0.3) for structured, expert-style reporting. Although a few previous studies have explored landslide captioning, to our knowledge this is the first framework designed to generate structured technical reports enriched with terrain-context interpretation and qualitative intervention-priority indicators. Experiments use 26,758 georeferenced RGB tiles (64 × 64) with 3 m of spatial resolution from PlanetScope satellite imagery over Emilia–Romagna, Italy, with 68,592 annotated landslide boxes collected after the May 2023 rainfall events (~200 mm in 48 h on 1–3 May; 200–250 mm in 48 h on 16–17 May). The proposed SDF-SegFormer-B2 segmentation model achieved a precision of 85.54%, recall of 72.31%, and an F1-score of 78.39% on the unseen test dataset. To evaluate the quality of the generated landslide reports, 100 images were selected for domain-expert assessment. Among these, 58% of the reports were rated as “Very Good,” 30% as “Good,” 8% as “Acceptable,” and 4% as “Poor.” When considering only reports with complete and accurate inputs, 81.48% were rated “Very Good,” and 96.30% were rated either “Good” or “Very Good.” By integrating complementary models and modalities, the proposed approach automates localization-to-reporting and enables the generation of terrain-aware landslide summaries that may support preliminary decision-making and rapid post-disaster screening. Full article