Search Results (11,852)

Climate change impacts on the Sado River (southwest Portugal) flow rates (FRs) were assessed for the first time under the 2041–2060 Shared Socioeconomic Pathways: 1–2.6 W/m² (SSP1-2.6), 3–7.0 W/m² (SSP3-7.0), and 5–8.5 W/m² (SSP5-8.5), using bias-adjusted and downscaled General Circulation Model (GCM) ensemble projections from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3b-Sado). ISIMIP3b-Sado was used to estimate future precipitation and temperature changes, and as input for Hydrological Simulation Program—FORTRAN (HSPF) simulations. The HSPF projected decreases in the Sado FRs, mainly under SSP3-7.0 and SSP5-8.5, due to temperature increases and autumn/spring precipitation decreases. The FR decreases may lead to 29%/33% reductions in yearly accumulated riverine water volume under SSP3-7.0/SSP5-8.5 and a 31% summertime riverine water deficit increase under SSP3-7.0. Surface-water demand fulfilment in the Sado Basin could suffer a 22-day delay, and the wintertime precipitation range is projected to increase. Hence, in the near-future, summertime surface-water needs and reservoir recharge in the Sado Basin could become more dependent on wintertime precipitation. With Sado being an agricultural region, our results should prompt agriculture stakeholders and decision makers to improve wintertime surface water storage and management to sustain summertime crop irrigation needs. Full article

Type 1 diabetes (T1D) is a common chronic autoimmune disease in childhood, often presenting abruptly and frequently complicated by diabetic ketoacidosis at diagnosis. T1D develops through well-defined presymptomatic stages characterized by islet autoimmunity and progressive dysglycemia, offering a window for early identification. This narrative review summarizes current evidence on screening for T1D in children and adolescents, focusing on target populations, screening strategies, and methodological approaches for autoantibody detection. Data from major international programs involving familial, high-risk, and general population screening are discussed, highlighting their impact on reducing diabetic ketoacidosis at onset, improving metabolic outcomes, and facilitating structured follow-up and family education. Advances in assay technologies, including electrochemiluminescence, multiplex platforms, and novel ultrasensitive methods, have enhanced the feasibility and accuracy of large-scale screening. The review also examines the public health implications, cost-effectiveness, and ethical considerations of implementing population-based screening, particularly in light of emerging disease-modifying therapies such as teplizumab. Overall, available evidence supports screening as a meaningful strategy to shift T1D diagnosis from an acute emergency to a predictable clinical trajectory, with potential benefits extending from individual patient outcomes to healthcare system sustainability. Full article

Effective scheduling and charging management of electric buses is essential for minimizing investment and operational costs while improving transit efficiency. The paper presents an optimization framework which provides a 3D Pareto frontier of fleet size, deadhead distance, and charging cost, while accounting for heterogeneous battery energy, charger power, charging spot capacities, integrated daily and night charging, and a charge sustaining condition. Two optimization approaches are developed: Mixed-Integer Linear Programming (MILP), which finds globally optimal solutions, and an Insertion Heuristic (IH), which generates feasible schedules in a computationally efficient way. The framework operates iteratively, starting with MILP to determine the minimum number of buses for feasible operation. Then, additional buses are incrementally incorporated, and for each fixed fleet size, a multi-objective optimization of scheduling and charging management is applied to minimize deadhead distance and charging costs using both approaches. A case study on a synthetic transport network demonstrates that the proposed IH algorithm achieves nearly optimal performance at a fraction of the computational time and memory requirements of the MILP approach. A Pareto analysis shows that increasing fleet size reduces deadhead distance and charging costs up to a saturation point, beyond which further additions yield minimal benefits. Full article

The utilisation of carbon fibre–reinforced polymers (CFRPs) has emerged as a promising method for enhancing the flexural performance of reinforced-concrete (RC) bridges. While extensive research has been conducted on CFRP systems implemented on flat soffit RC beams, further work is required to assess their effectiveness when applied to concavely curved soffit RC members. This paper uses finite element simulations to extend an experimental database on RC beams with curved soffits ranging from 5, 10, 15 and 20 mm/m strengthened using externally bonded FRP. Parametric studies into four different concrete strengths ranging from 25, 35, 48, 57 MPa and additional degrees of soffit curvature up to 50 mm/m were used to generate a total of 88 data points. Further, gene expression programming (GEP) was used to develop an empirical model correlating a capacity reduction factor applied to the maximum FRP strain required to produce intermediate-span crack-induced (IC) debonding for concavely curved soffit RC beams externally strengthened with CFRP. The results of the GEP model demonstrated that the model can be employed as an efficient tool for the prediction of the reduction in the flexural capacity of concavely curved soffit RC beams strengthened externally with NSM CFRP. Full article

This study examines how international educators come to understand Lesson Study as a form of professional learning through participation in the Lesson Study Immersion Program in Japan (LSIP-JR). While prior research has documented the impact of Lesson Study on individual teachers’ knowledge and instructional practices, less attention has been paid to how teachers recognize the norms of learning communities and how they conceptualize curriculum and instructional tasks as objects of collective inquiry. Drawing on reflective journals produced by program participants, this study analyzes how these often-implicit dimensions of Lesson Study were interpreted through engagement with Japanese classroom practices and professional learning discourse. The findings suggest that participants did not view research lessons as polished demonstrations but rather as provisional inquiries shaped by uncertainty, shared responsibility, and openness to critique. Such interpretations brought into focus norms that are deeply embedded—and often taken for granted—within the Japanese educational context. In addition, participants came to recognize curriculum materials and instructional tasks not simply as tools for implementation but as shared research objects through which hypotheses about student learning are generated and examined, within both normative and institutional conditions. Rather than presenting Japanese Lesson Study as a model to be replicated, this study clarifies the conditions under which Lesson Study functions as collective inquiry. By making these typically unarticulated elements visible, the study offers a conceptual foundation for teachers and professional development leaders seeking to design and sustain meaningful Lesson Study across diverse educational contexts. Full article

Wheat is among the most important staple crops worldwide; however, its yield and quality are severely threatened by stripe rust caused by Puccinia striiformis f. sp. tritici (Pst). CH806 is a Thinopyrum intermedium-derived resistant breeding line developed in our laboratory that is highly resistant to the prevalent Chinese Pst races CYR32, CYR33, and CYR34 in field trials. A genetic population was developed by crossing CH806 with the susceptible cultivar Chuanmai 24. Phenotypic evaluation of the progeny under field conditions revealed segregation for stripe rust resistance in the F₂ generation. On the basis of the resistance phenotypes of the F₂ and F_2:3 populations, homozygous resistant and homozygous susceptible F₂ individuals were selected to construct resistant and susceptible DNA bulks, respectively, for genotyping using the Wheat 120K SNP array. Bulked segregant analysis indicated that the most significant SNPs were predominantly clustered on chromosome 4A. Subsequently, publicly available simple sequence repeat (SSR) markers on chromosome 4A and newly developed SSR markers within the candidate region that were enriched for polymorphic SNPs were used for linkage analysis. The resistance locus, temporarily designated YrCH806, was mapped to an interval flanked by markers Xwmc48/Xwmc89 and SSR4A-60, with genetic distances of 4.4 cM and 2.5 cM, respectively, corresponding to a physical position of 515.8–574.7 Mb on the wheat reference genome. The closest flanking marker, SSR4A-60, was successfully converted into a Kompetitive Allele-Specific PCR (KASP) marker. This high-throughput marker was subsequently utilized to screen a panel of wheat germplasms for the distribution of YrCH806. This study provides a novel resistance source and associated molecular markers for improving stripe rust resistance in wheat breeding programs. Full article

The competency-based medical education (CBME) curriculum was introduced recently for undergraduate courses in medical institutions in India. The program needs a paradigm shift in the teaching and assessment methods. Therefore, challenges at the individual as well as organizational level are expected in the initial years of implementation. We used a mixed-method approach through focus group discussions (FGD) and an online survey to assess the perception and attitude of MBBS phase 1 and 2 teachers towards CBME. Themes were generated from FGD, and quantitative data were collected using a structured questionnaire through an online survey. Nearly 80% of the participating faculty perceived that the CBME curriculum was better than traditional teaching methods. Major challenges were either related to a deficiency of curriculum-optimized learning material (85%), material infrastructure (38%), and manpower (46%), or increased documentation (74%), and time constraints (52%). The faculty felt attitudinal change (63%), better acquaintance with the professional environment (60%), improved participation (58%), and the performance of students (38%) were major commendations of CBME. The CBME curriculum is a welcome change in Indian medical teaching institutes, and faculty intend to improve it through feedback mechanisms. The perceived complexities need to be addressed at different levels through collaborative approaches. Full article

Lunar dust exhibits exceptionally strong adhesion, abrasiveness, and electrostatic charging due to long-term exposure to extreme temperature cycling (−183 °C to 127 °C), high vacuum, and intense radiation. With the rapid advancement of global lunar exploration programs and the planned construction of lunar bases, lunar dust has become a critical threat to exploration equipment, spacesuits, and spacecraft sealing systems. This paper systematically reviews recent progress in lunar dust mitigation technologies from the perspective of engineering application requirements. Key micro-mechanism factors governing dust adhesion and removal efficiency are analyzed, and the protection mechanisms and application scenarios of traditional lunar dust mitigation technologies are comprehensively discussed, including both active and passive approaches. Active protection technologies generally provide effective dust removal but suffer from high energy consumption, whereas passive strategies can reduce dust adhesion but face challenges in mitigating dynamic dust accumulation. To overcome these limitations, recent studies have increasingly focused on active–passive synergistic strategies that integrate surface modification with dynamic dust removal. Such approaches enable improved efficiency and adaptability by combining long-term dust resistance with real-time removal capability. Based on the latest research advances, this paper further proposes an integrated technical framework for the engineering design of efficient lunar dust protection. Full article

This study explores strategies for dynamic pricing and flexible refund fee setting in railway line services, aiming to optimize ticket sales revenue by integrating refund mechanisms into the revenue management framework. By introducing a consistent concept of opportunity cost applicable to both passengers and railway operators, we propose an integrated approach that combines dynamic pricing with flexible refund fees grounded in the demand-driven opportunity cost of seat resources. A dynamic programming model is constructed to quantify the opportunity cost of seat resources. To address the computational challenges arising from the model’s scale, state and time dimension compression methods are applied to develop an approximate linear programming model with fewer constraints. The proposed model is solved using a turning point search algorithm and a constraint generation algorithm. Numerical experiments and ticket sales simulations are conducted to verify the feasibility of the proposed methods and to explore the application effects of different pricing strategy combinations. The results demonstrate that the integration of dynamic pricing and flexible refund fees can significantly enhance ticket sales revenue, particularly in scenarios of supply shortfall. Full article

Background/Objectives: A persistent challenge in adolescent health promotion is insufficient exercise intensity during physical education (PE) lessons, limiting their potential to reduce cardiometabolic risk. National curricula further restrict teacher flexibility in implementing effective preventive strategies. Brief, high-intensity exercise protocols may provide a scalable solution within school systems. Although their general effectiveness is established, less is known about the variability of individual health responses, particularly across multiple outcomes and in relation to sex and intervention type. This study aimed to (1) assess the prevalence of responders (Rs) and non-responders (NRs) by sex and intervention type, (2) examine sex-by-intervention interactions, and (3) evaluate the likelihood of combined positive health responses across body fat percentage (BFP), systolic and diastolic blood pressure (SBP and DBP), and cardiorespiratory fitness (maximal oxygen consumption [VO₂max]). Methods: A total of 145 adolescents (aged 16 years; 48% males) from experimental school-based PE programs were analyzed. Two intervention modalities were implemented: high-intensity interval training (HIIT) and high-intensity plyometric training (HIPT). Rs were identified using typical error (TE) methodology. Statistical analyses included chi-squared tests (χ²), log-linear modeling, and odds ratios (ORs). Results: Chi-squared analyses indicated sex-by-intervention associations in the distribution of responder classifications for body fat percentage (BFP), systolic blood pressure (SBP), diastolic blood pressure (DBP), and VO₂max (χ² range = 8.26–10.10, p < 0.01). A simple association between intervention type and DBP was also observed (χ² = 6.49, p = 0.011). However, logistic regression analyses yielded odds ratios with wide 95% confidence intervals crossing the null value for all outcomes, indicating limited precision and the absence of statistically robust interaction effects. Multinomial logistic regression examining combined responses (two or three concurrent improvements) revealed no statistically significant main or interaction effects (all p > 0.05).Conclusions: Brief high-intensity exercise protocols delivered within school-based physical education were associated with favorable changes in adiposity, blood pressure, and cardiorespiratory fitness in a substantial proportion of adolescents. However, sex- and intervention-specific differences in responder classification were not statistically significant and should be interpreted as exploratory. Further adequately powered studies are required to determine whether individual characteristics meaningfully moderate responsiveness to specific high-intensity exercise modalities. Full article

(1) Background: Menstruation is subject to stigma worldwide, which has led to restrictive cultural norms and taboos rooted in religion, customs, and patriarchal systems. The resulting ‘cultural stigma’ associated with menstruation exacerbates health inequities, restricts access to sexual and reproductive health rights (SRHRs), and undermines girls’ and women’s participation in educational, economic, social, and spiritual activities. This scoping review examines interventions to address menstrual stigma experienced by girls and women in India (2) Methods: We used the Joanna Briggs Institute (JBI) methodology for scoping reviews. After systematic searches on 14 March 2024 across six databases (Academic Search complete, APA PsycInfo, Womens Studies International, Web of Science Core collection, MEDLINE, and Index Medicus-SEAR), we screened 1323 records. (3) Results: Findings from 13 unique study reports reveal diverse approaches to addressing menstrual stigma, including income generation initiatives, sexual education, peer training, technological tools, and arts-based approaches. While the interventions initiated dialogue among girls and women in India, they often lacked broader community engagement, leaving structurally embedded patriarchal norms unchallenged. Additionally, most programs targeted adolescent schoolgirls, with limited attention to waged girls and adult women. (4) Conclusions: Addressing menstrual stigma is critical to advancing gender equality and health equity in India. More research is needed to understand effective ways to galvanize community-wide support in dismantling the deeply rooted patriarchal structures that shape interconnected stigma processes leading to health inequities among girls and women in India. Full article

The genus Asparagus L. is a traditional Chinese herb valued for its medicinal and culinary properties, with root tubers being the primary organ of interest. To elucidate the genetic mechanisms underlying tuber formation, we conducted a comparative transcriptome analysis of two species, Asparagus cochinchinensis (Lour.) Merr. and Asparagus taliensis F. T. Wang & Tang ex S. C. Chen, which exhibit distinct differences in root tuber number. High-throughput sequencing generated 6.68 Gb and 7.60 Gb of clean data for the respective species, leading to the annotation of 115,080 non-redundant unigenes. Comparative analysis identified 26,013 differentially expressed genes (DEGs), including 1096 associated with carbohydrate metabolism. Weighted gene co-expression network analysis (WGCNA) revealed that the MEred and Megreenyellow modules which included genes involved in material and energy metabolism were significantly correlated with tuber development. From these modules, we identified two candidate genes involved in carbon and sugar metabolism, designated Ac_uniYEAD and Ac_uniRPE. Quantitative real-time PCR validation confirmed that their expression levels were positively correlated with root tuber number, consistent with the transcriptomic data. These results highlight Ac_uniYEAD and Ac_uniRPE as promising targets for genetic improvement of tuber yield in Asparagus breeding programs. Full article

Background/Objectives: Transcranial direct current stimulation (tDCS) is increasingly used by athletes, yet sport-performance-enhancement findings are mixed and often small, with outcomes depending on stimulation target, timing, and task demands. Aim: This scoping review mapped and synthesized the soccer-specific trial evidence to identify (i) which tDCS targets and application schedules have been tested in soccer players, (ii) which soccer-relevant outcomes show the most consistent immediate (minutes–hours) or training-mediated benefits, and (iii) where evidence gaps persist. Methods: We conducted a scoping review of clinical trials in footballers, following review best-practice guidance (PRISMA-informed) and a preregistered protocol. Searches (August 2025) spanned PubMed/MEDLINE, ResearchGate, Google Scholar, and Cochrane, using combinations of “football/soccer” and “tDCS/transcranial direct current stimulation,” with inclusion restricted to trials from 2008–2025. Dual independent screening was applied. Of 47 records identified, 21 studies met the criteria. Across these, the total N was 593 (predominantly male adolescents/young adults; wide range of levels). Results: Prefrontal protocols—most commonly left-dominant dorsolateral prefrontal cortex (DLPFC) (+F3/−F4, ~2 mA, ~20 min)—most consistently improved post-match recovery status/well-being (e.g., fatigue, sleep quality, muscle soreness, stress, mood), and when repeated and/or paired with practice, shortened decision times and promoted more efficient visual search. Effects on classic executive tests were inconsistent, and bilateral anodal DLPFC under fatigue increased risk-tolerant choices. Motor-cortex targeting (C3/C4/Cz) rarely changed rapid force–power performance after a single session—e.g., multiple well-controlled trials found no immediate CMJ gains—but when paired with multi-week training (core/lumbar stability, plyometrics, HIIT, sling), it augmented strength, jump height, sprint/agility, aerobic capacity, and task-relevant EMG. Autonomic markers (exercise HR, early HR recovery) showed time-dependent normalization without specific tDCS effects in single-session, randomized designs. In contrast, a season-long applied program that added prefrontal stimulation to standard recovery reported significantly reduced creatine kinase. Across studies, protocols and masking were athlete-friendly and rigorous (~2 mA for ~20 min; robust sham/blinding), with only mild, transient sensations reported and no serious adverse events. Conclusions: In soccer players, tDCS shows a qualified pattern of benefits that follows a specificity model: prefrontal stimulation can support post-match recovery status/well-being and decision efficiency, while M1-centered stimulation is most effective when coupled with structured training to bias neuromuscular adaptation. Effects are generally modest and heterogeneous; practitioners should treat tDCS as an adjunct, not a stand-alone enhancer, and align montage × task × timing while monitoring individual responses. Full article

The management of operating rooms (ORs) is one of the most studied topics in operations research applied to healthcare. In particular, scheduling elective surgeries in a pediatric and teaching hospital can be a challenge because disruptions occur frequently. The aim of our research was to create a mathematical programming model to schedule day hospital (DH) patients, considering possible disruptions and defining how to best manage the rescheduling process. Our study originates from a collaboration between a high-volume pediatric surgery department and operations research practitioners. The possible disruptions we consider are emergencies and same-day cancellations of planned hospital operations. Elective DH surgeries are scheduled considering the waiting list and the patients’ clinical priorities, generating a nominal schedule. This schedule is optimized in conjunction with a series of back-up schedules to guarantee that OR activity immediately recovers in case of a disruption. An ILP-based approach to the problem is proposed. We enumerate a representative subset of the possible emergency and no-show scenarios, and for each of them a back-up plan is designed. The approach reschedules patients, minimizing disruptions with respect to the nominal schedule, and applies an as-soon-as-possible policy in case of emergencies to ensure that all patients receive timely care. The approach is shown to be effective in managing disruptions, ensuring that the waiting list is managed properly, with a balanced mix of urgent and less urgent patients. It provides an effective solution for scheduling patients in a pediatric hospital, considering the unique features of such facilities. Full article

Zootherapy is a significant component of traditional medicine in many parts of the world. This study investigated the therapeutic and belief-based use of wildlife in urban settings in Southwest Nigeria, assessing its potential implications for One Health. We used semi-structured questionnaires, focus group discussions, and participant observations to gain insights into the practices, practitioners’ knowledge, motivations, and animal species used. Also, we searched the published literature and the International Union for Conservation of Nature Red List of Threatened Species for zoonotic pathogens and the conservation statuses of the reported animal species. Descriptive statistics and thematic analysis were used to analyze the data. Results revealed 53 practices involving 41 species, with occasional importation of animal parts to meet demand. Practitioners’ limited awareness of zoonotic risks, coupled with income generation and deeply rooted traditional beliefs, sustained these practices, further fueled by the dynamics of urban wild meat trade. The majority (95%) of species reported were reservoirs of zoonotic pathogens, with 44% in the vulnerable, near-threatened, endangered, or critically endangered class. The use of animal-derived products for medicinal and spiritual purposes may constitute a plausible pathway for potential zoonotic spillovers, transboundary animal diseases (TADs), decline in wildlife resources, and ecological imbalance. We recommend intensified monitoring, risk communication, awareness programs, and the adoption of sustainable alternatives to mitigate the negative impacts of these practices in Nigeria and beyond. Full article