Search Results (42,197)

Extreme sea levels along the Mexican coasts pose an increasing risk to coastal infrastructure and communities, particularly under the combined influence of tropical cyclones and ongoing sea-level rise. This study analyzes tide-gauge records from the Mexican Pacific and Gulf of Mexico–Caribbean coasts to characterize the statistical behavior and seasonal modulation of extreme sea-level residuals. Astronomical tides were removed through harmonic analysis to isolate the meteorological residual associated with storm-driven processes. Extreme events were evaluated using complementary extreme-value frameworks, including Generalized Extreme Value (GEV) distributions applied to monthly maxima and a Peaks-Over-Threshold (POT) approach applied to the continuous residual series with temporal declustering and Generalized Pareto Distribution (GPD) fitting. While both approaches consistently capture regional patterns, the POT–GPD framework is adopted as the primary basis for return-level estimation due to its explicit representation of event-scale extremes. The results reveal marked regional variability. Pacific stations exhibit bounded or near-Gumbel behavior (ξ ≈ −0.30 to −0.02) and a strong seasonal concentration of extremes during the tropical cyclone season. In contrast, Gulf of Mexico–Caribbean stations display higher absolute extremes and a broader seasonal footprint, with Veracruz showing a tendency toward heavier-tailed behavior (ξ ≈ 0.13). Return levels for a 25-year return period range from approximately 0.85–0.95 m in the Pacific to about 1.7 m in Veracruz. Longer return periods (e.g., 100 years) exceed 2.2 m in Veracruz but are associated with substantial uncertainty due to record-length limitations. The analysis of ENSO variability indicates that ENSO acts primarily as a secondary modulator of background sea-level variability rather than a deterministic driver of extreme events, with the largest anomalies typically associated with tropical cyclone activity. Overall, the results demonstrate that extreme sea levels along the Mexican coasts are governed by region-specific forcing and tail behavior requiring localized extreme-value modeling strategies. The proposed framework provides a robust and reproducible baseline for coastal hazard assessment and supports the integration of sea-level rise into future risk and design analyses. Full article

Patellar maltracking is among the most common causes of anterior knee pain after total knee arthroplasty (TKA), underscoring the need for accurate prevention and treatment. Therefore, the purpose of this narrative review is to provide a comprehensive overview of current evidence on post-TKA tracking, focusing on component alignment, preoperative patient assessment, and revision treatment options. A PubMed database search was performed, leveraging the literature from the last 20 years, and the results were qualitatively synthesized. According to current studies, several precautions should be taken to prevent patellofemoral stress and, consequently, patellar maltracking, such as avoiding internal rotation, valgus alignment, and excessive flexion of the femoral component and internal rotation of the tibial component. Regarding alignment strategies, kinematic alignment appears to offer potential benefits over mechanical alignment in certain functional outcomes and patient satisfaction scores. However, these differences should be interpreted cautiously as they may not always exceed the minimal clinically important difference. Furthermore, recent evidence indicates that quadriceps biomechanics influence TKA outcomes, potentially suggesting that conventional surgical approaches may need to be individualized, though these preliminary findings require prospective validation. Currently, robotic-assisted surgery represents a developmental direction for patient-tailored interventions and offers great promise for better prosthesis customization to the individual patient. Integration of imaging data with dynamic soft-tissue assessment enables more predictable reconstruction of joint kinematics. Regarding surgical treatment, the selection of specific methods requires a prior clinical and radiographic assessment. Indications range from patellar maltracking direction and component malrotation to patient preferences and rehabilitation potential. Ultimately, the future of TKA relies on personalized interventions to prevent complications and improve patient outcomes. This evolution is driven by the shift from mechanical alignment to kinematic alignment, alongside quadriceps tendon assessment and intraoperative robotic-assisted measurement, all aimed at optimizing the accuracy of implant positioning. Full article

Background/Objectives: Type 2 Diabetes Mellitus (T2DM) is a prevalent metabolic disorder associated with major cardiovascular and metabolic complications. Regular physical activity is recommended for glycaemic management, but barriers such as obesity, joint pain, and impaired mobility may limit participation in land-based exercise. Aquatic exercise may provide a feasible alternative as water buoyancy reduces joint loading while allowing aerobic and resistance training. This systematic review and meta-analysis evaluated the effects of aquatic exercise interventions on glycaemic control in adults with T2DM. Methods: The review followed the PRISMA 2020 guidelines. MEDLINE, Cochrane CENTRAL, Scopus, Web of Science, and IEEE Xplore databases were searched. Randomised and non-randomised longitudinal studies involving adults aged ≥35 years with T2DM participating in structured aquatic exercise programmes were eligible. The primary outcome was glycated haemoglobin (HbA1c). Risk of bias was assessed using RoB 2 and RoBANS 2, and certainty of evidence was evaluated using GRADE. Random-effects meta-analysis calculated mean differences (MDs) with 95% confidence intervals. Results: Eleven randomised controlled trials involving 335 participants were included. Aquatic exercise significantly reduced HbA1c compared with passive control conditions (MD = −0.76%; 95% CI −1.21 to −0.32), although heterogeneity was high. No significant differences were observed between aquatic and land-based exercise interventions. Eight studies used wearable heart-rate monitors to regulate exercise intensity. Conclusions: Aquatic exercise may improve glycaemic control compared with sedentary conditions and yields effects comparable to those of land-based exercise in adults with T2DM. Further high-quality trials are needed to clarify optimal exercise dose–response and evaluate more advanced wearable technologies. Full article

Soybean (Glycine max [L.] Merr.) is a globally important crop with a rapidly expanding body of genomics literature driven by advances in sequencing and functional genomics. Thousands of studies reference soybean genes using standardized Glyma identifiers; however, systematic analyses of how these identifiers are distributed across chromosomes in the scientific literature remain limited. Here, we present a chromosome-resolved bibliometric analysis of soybean gene mentions using a reproducible rule-based text mining approach. PubMed abstracts published between December 2006 and December 2025 were mined for standardized Glyma gene identifiers using regular-expression-based entity extraction. A total of 377 PubMed records were retrieved, of which 340 abstracts (90.2%) contained at least one Glyma gene identifier. The median number of unique genes mentioned per abstract was 1, with a maximum of 14 genes reported in a single study. Our results reveal three major patterns. First, soybean genomics research remains predominantly gene-centric, with most abstracts referencing one or two genes. Second, apparent chromosome-level disparities exist in literature representation within the subset of studies using standardized Glyma identifiers, with chromosomes 3 and 16 exhibiting the highest frequencies of unique gene mentions. A Chi-square goodness-of-fit test confirmed that these differences deviate significantly from a uniform distribution (χ² = 123.71, p < 0.001), indicating non-random patterns of gene reporting. Third, a small subset of genes dominates the literature, while the majority of annotated genes are mentioned infrequently, reflecting a long-tailed distribution of research attention. This analysis captures reporting patterns in studies that explicitly use standardized Glyma identifiers and therefore represents a defined subset of the broader soybean genomics literature. Within this scope, the findings highlight uneven adoption of standardized gene nomenclature and chromosome-level differences in research emphasis. More broadly, this study demonstrates the utility of transparent, rule-based text mining approaches for large-scale bibliometric analyses in plant science and provides a scalable framework for comparative analyses across crop species. Full article

This study modeled the factor structure of the Generalized Anxiety Disorder-7 (GAD-7), quantified its internal consistency, tested for longitudinal invariance, and estimated associations with measures of depression, parent stress, family functioning, and child psychopathology. Data were from 200 parents enrolled in an on-going study of children with chronic health conditions recruited from a pediatric hospital. Exploratory and confirmatory factor analysis (CFA) modeled the GAD-7 factor structure, and multiple-group CFA tested longitudinal invariance over 48 months. A one-factor model showed the best fit to the data, and the omega hierarchical was 0.89 and 0.88 at baseline and 48 months, respectively. The GAD-7 demonstrated longitudinal invariance. Internal consistency was good at both assessments (α > 0.75). Correlations with other measures were significant and at least small in magnitude. Known-group validity (parents with vs. without depression) showed very large effects (d > 2.0). The GAD-7 is psychometrically robust in parents of children with chronic health conditions. Full article

The need to create more sustainable and energy-efficient buildings drives the search for new materials to be used in the construction sector. Paper and cardboard-based products can fit very well in this context. Specifically, this article aims to identify the main components for the Architecture and Engineering Construction sector, as well as the prototypes and buildings already constructed using systems that incorporate corrugated cardboard, attempting to gather the identified values found in individual studies for the main characteristics such as mechanical, thermal and acoustic properties. Due to the diversity of the samples (i.e., shape and type of cardboard), a direct comparison between the identified components and systems is not possible. However, the diversity of the products found demonstrates that there is a certain interest in this field. Full article

Background/Objective: Athletes’ dietary needs are influenced by the physiological demands of their sport, so the impacts of disrupted food access may vary from those experienced by the general population. This study aimed to develop and validate the Athlete Food Insecurity Scale (AFIS), a sport-specific tool designed to measure food insecurity in athletes. Materials and Methods: The study included 500 young adult athletes from 18 different sports disciplines. The sample was divided for exploratory factor analysis (n = 300) and confirmatory factor analysis (n = 200). Standard procedures for scale development were followed, including content validity assessment, construct validity testing, convergent validity analysis, and reliability evaluation. Results: The final 23-item scale demonstrated a four-factor structure including performance changes, coping strategies, basic nutritional needs, and physical access restraints. Factor loadings ranged from 0.344 to 0.956, item–total correlations from 0.513 to 0.781, and Cronbach’s alpha coefficients from 0.827 to 0.937. Confirmatory factor analysis supported the modified model with acceptable fit indices (χ²/df = 2.41, RMSEA = 0.080, TLI = 0.900, CFI = 0.910), and standardized factor loadings ranged from 0.53 to 0.89 (p < 0.05). Subscale scores differed significantly across Household Food Security Survey Module food security categories, supporting convergent validity. Conclusions: The AFIS demonstrates strong psychometric properties and may provide a sensitive tool for identifying and monitoring sport-specific food insecurity among athletes. Full article

Background/Objectives: Grounded in Self-Determination Theory, this study aimed to translate and validate the Basic Psychological Need Satisfaction and Frustration Scale (BPNSFS), including the Novelty dimension, within the Portuguese exercise context. Given the emerging evidence of novelty as a potential candidate for a basic psychological need, this research examined the psychometric properties and temporal stability. Furthermore, this study explored the nomological validity of these constructs regarding exercise enjoyment and satisfaction with life. Methods: The sample comprised 500 gym-goers (263 females; 237 males), aged between 18 and 65 years (M = 33.76; SD = 12.94). Confirmatory Factor Analysis and Exploratory Structural Equation Modeling were employed to compare the factor structure. Temporal stability was assessed through a test–retest procedure with a four-week interval (n = 50). Results: Exploratory Structural Equation Modeling provided a superior fit to the data (CFI = 0.98; TLI = 0.97; RMSEA = 0.04) compared to Confirmatory factor Analysis, supporting the distinctiveness of the eight dimensions. The instrument demonstrated strong internal consistency (composite reliability ranging from 0.78 to 0.90) and adequate discriminant validity. Path analysis revealed that novelty satisfaction was significantly associated with enjoyment and satisfaction with life. In reverse, novelty frustration was negatively associated with these well-being indicators. Intraclass correlation coefficients (0.75 to 0.83) confirmed robust temporal stability. Conclusions: These findings provide evidence that the Portuguese version of the BPNSFS, including the novelty dimension, is a psychometrically comprehensive instrument for the exercise context. The results support the inclusion of novelty as a relevant psychological need within Self-Determination Theory. Full article

Background: Physical literacy is a multidimensional construct encompassing physical competence, confidence, motivation, knowledge, and lifelong engagement in physical activity. The Perceived Physical Literacy Instrument (PPLI) has been widely used internationally; however, previous adolescent validations have been based on a reduced 9-item version originally developed for teachers. This study aims to evaluate the validity and test–retest reliability of a Spanish adaptation of the original 18-item PPLI in Spanish adolescents aged 11–18 years. Methods: A multi-phase validation study was conducted with 869 Spanish adolescents (421 females). The procedure included: (1) translation and cultural adaptation, (2) Exploratory Factor Analysis (EFA; n = 290), Confirmatory Factor Analysis (CFA; n = 579) and invariance analyses, and (3) test–retest reliability assessment. Results: EFA supported a three-factor solution comprising 15 items. CFA showed standardized factor loadings ranging from 0.62 to 0.89, indicating that the latent constructs were adequately represented. Although the 15-item model showed acceptable fit, a 5-item unidimensional short form was developed due to limitations in the three-dimensional models. This short form demonstrated good model fit (scaled RMSEA = 0.073; scaled CFI = 0.992; SRMR = 0.026), adequate convergent validity (AVE = 0.558), high reliability (ω = 0.821), moderate test–retest stability (ICC = 0.69), and full configural, metric, and scalar longitudinal invariance. Conclusions: The 15-, 9-, and 5-item versions of the PPLI are valid and reliable options. The 15-item version allows comprehensive assessment and domain-level interpretation. The 9-item version facilitates comparability with previous international research. The 5-item version may be useful in contexts with time constraints but may not be the preferred choice for comprehensive assessment of physical literacy in clinical or detailed pedagogical diagnostic settings. Full article

Background: The metamorphopsia questionnaire (MeMoQ) is an established patient-reported outcome measure (PROM) in the context of macular disease. However, its performance has not been proved in those being treated for various macular conditions with intravitreal anti-vascular endothelial growth factor (Anti-VEGF). The objective was to eliminate misfitting items, enhance measurement precision, and ensure optimal response categorisation. Methods: Rasch analysis was performed iteratively on 2286 responses from patients with macular diseases being treated with Anti-VEGF to optimise the MeMoQ. Fit statistics, reliability indices, person and item separation measures, and principal component analysis (PCA) of residuals were assessed to determine the optimal model. This study was conducted in an outpatient clinic specialising in retinal diseases in Hywel Dda University Health Board. Results: Misfitting items were removed in successive iterations, leading to optimised category probability curves and stable fit statistics for the MeMoQ. The resulting model for all responses included two final items, with person separation remaining inadequate reducing from 1.23 to 1.12 and reliability from 0.60 to 0.56. Category probability curves demonstrated good ordering of response variables with Andrich thresholds separated by >1.2 logits. In the subgroups of neovascular age-related macular degeneration and diabetic macular oedema person separation remained below two and reliability remained low. Conclusions: Rasch analysis demonstrated that the MeMoQ was not a valid or reliable PROM in this patient population. Therefore, the MeMoQ may not provide a reliable index of patient’s perception and visual experience when undergoing Anti-VEGF treatment. Full article

Despite advances in surgical technique and perioperative care, pancreatic ductal adenocarcinoma (PDAC) remains associated with poor survival. Sarcopenia is highly prevalent in PDAC and is consistently associated with inferior survival and reduced tolerance of systemic therapy. However, interventions primarily aimed at increasing muscle mass through nutritional supplementation and resistance-based exercise have yielded limited improvements in clinically meaningful postoperative outcomes. This has prompted increasing interest in sarcopenia as a marker of broader biological vulnerability rather than isolated physical deconditioning. Emerging clinical, translational, and experimental evidence demonstrates that skeletal muscle and adipose tissue function as active immunometabolic organs, and that cancer-associated inflammatory pathways drive early muscle loss, immune dysfunction, and impaired physiological recovery. Across multiple clinical cohorts, sarcopenia is reproducibly associated with worse overall survival and failure to complete adjuvant therapy, but not consistently with increased postoperative complications, suggesting that its prognostic relevance lies in impaired recovery and oncological fitness rather than immediate surgical risk. Translational studies further indicate that sarcopenia identifies patients with reduced antitumor immune competence, particularly in early-stage disease. This review synthesizes current evidence linking sarcopenia, immune dysfunction, and surgical outcomes in PDAC and examines implications for perioperative care. We propose that immunometabolic-informed prehabilitation, integrated with existing nutritional and exercise strategies, may represent a more effective approach to improving recovery, treatment tolerance, and durable oncological outcomes following PDAC resection. Full article

Microalgae dewatering is a major bottleneck for the industrial deployment of microalgal biorefineries due to its high energy and water requirements. This study investigates the optimization and modeling of an industrial-scale aerated submerged ultrafiltration (UF) system for microalgae pre-concentration under real operating conditions. A submerged hollow-fibre Koch LE8 UF module (348 m², 0.03 µm) was operated directly on Chlorella sp. cultures produced in an 800 m² outdoor photobioreactor. Filtration–backwash cycles were experimentally optimized, identifying an optimal sequence of 8.33 min filtration and 1 min backwash, enabling up to 80% net water removal per cycle while maintaining fouling largely reversible under the tested conditions. Long-term trials (6–7 h) achieved stable concentration factors of 3.6–4.3 with complete biomass retention and sustained permeate flux despite increasing solids concentration. Reuse of permeate for backwashing eliminated freshwater consumption without compromising membrane performance. A dynamic resistance-in-series (RIS) model, incorporating mass balances and an empirically derived concentration-polarisation resistance, accurately reproduced permeate flux and biomass concentration dynamics (R² > 0.83) using a single fitted parameter. The validated model was further applied as a digital twin to simulate operation up to the theoretical concentration factor of 10, quantifying the associated energy and water demands. The system exhibited a low estimated specific energy consumption of 1.25 kWh·kg⁻¹ biomass and a water demand of 0.30 m³·kg⁻¹, demonstrating that aerated submerged UF is a robust, scalable, and energy-efficient solution for industrial microalgae harvesting. Full article

Odometry estimation, which calculates the trajectory of a moving object across timeframes, is a critical and time-consuming function in SLAM (Simultaneous Localization and Mapping) systems. Although LiDAR-based sensing is most popular for outdoor and long-range applications because of its ranging accuracy, the sparsity of laser point cloud poses a significant challenge to feature extraction and matching in odometry estimation. In this paper, we investigate odometry estimation from two aspects, i.e., algorithm optimization, and system design/implementation. In algorithm optimization, we present an image feature-assisted odometry estimation scheme that leverages the richness of image information captured by a companion camera to enhance the accuracy of laser point cloud matching. This also serves as a screening mechanism to reduce the matching size and lower the computing complexity for a higher estimation rate. In addition, various schemes, such as adaptive threshold in image feature point selection, principal component analysis (PCA)-based plane fitting for laser point interpolation, and Gauss–Newton optimization for calculating the transform matrix, are also employed to improve the accuracy of odometry estimation. The performance of improved odometry estimation is verified using an existing FLOAM (Fast Lidar Odometry and Mapping) framework. The KITTI dataset for autonomous vehicles with ground truth was used as the test bench. Simulation results indicate that the translation error and rotation error can be reduced by 16.6% and 1.3%, respectively. Computing complexity, measured as the software execution time, also reduced by 63%. In system implementation, a hardware/software (HW/SW) co-design strategy was adopted, where complexity profiling was first conducted to determine the task partitioning and time-consuming tasks are offloaded to a hardware accelerator. This facilitates real-time execution on a resource-constrained embedded platform consisting of a microprocessor module (Raspberry Pi) and an attached FPGA board (Pynq Z2). Efficient hardware designs for customized DSP functions (adaptive threshold and PCA) were developed in an FPGA capable of completing one data frame in 20ms. The final system implementation met the target throughput of 10 estimations per second, and can be scaled up further. Full article

Background and objectives: Articular cartilage provides low-friction articulation across joint surfaces, distributes loads, and absorbs stress, all of which are crucial mechanical functions of joints. Changes in the mechanical characteristics of cartilage are among the first signs of degenerative joint disease, and they are especially important for athletes who are subjected to high-impact, high-magnitude loading on a regular basis. The objective of this study was to: (i) compare the mechanical characteristics of tibiofemoral cartilage in healthy and osteoarthritic conditions across medial and lateral anatomical compartments; and (ii) use nonlinear phenomenological viscoelastic modeling in conjunction with unconfined compression testing to characterize compartment-specific viscoelastic behavior. Materials and Methods: Forty-six human tibiofemoral cartilage samples were collected during knee surgeries and classified as healthy (n = 17) or osteoarthritic (n = 29) and as medial (n = 26) or lateral (n = 20). Quasi-static unconfined compression tests were performed at 1 mm/min to obtain stress–strain responses, Young’s modulus, maximum compressive stress, and energy absorption. Viscoelastic behavior was analyzed using a nonlinear phenomenological viscoelastic model. Appropriate parametric or non-parametric statistical tests and effect size measures were applied. Results: Osteoarthritic cartilage’s stiffness and energy absorption were significantly higher than those of healthy tissue (p < 0.05). Medial cartilage exhibited significantly greater stiffness and stress than lateral cartilage (p < 0.001). The nonlinear phenomenological viscoelastic model provided an excellent fit (R² > 0.999). Conclusion: The mechanical profile of osteoarthritic tibiofemoral cartilage is characterized by pathological mechanical remodeling and increased stiffness. Greater mechanical susceptibility in the medial compartment supports the significance of cartilage biomechanical properties as sensitive indicators of early degeneration and osteoarthritis risk in athletic populations. Full article