Search Results (15,530)

This study investigates the dual mechanisms by which SiO₂ deteriorates magnesium phosphate cement (MPC) performance. MgO-SiO₂ clinkers were prepared using lightly calcined magnesia (MgO) with SiO₂ additions ranging from 1% to 9%, followed by calcination at temperatures between 1100 °C and 1500 °C. Through XRD–Rietveld refinement, workability, compressive strength, and hydration heat analyses, the damaging effects of SiO₂ were systematically evaluated. Results reveal that SiO₂ degrades MPC through two concurrent mechanisms: chemical consumption and physical deactivation of reactive MgO. Chemically, SiO₂ reacts with MgO during calcination to form inert forsterite (Mg₂SiO₄), irreversibly reducing reactive MgO content. Physically, SiO₂ and its reaction products lower the crystallinity and reactivity of remaining MgO while diluting reactive components. A calcination temperature of 1200 °C was optimal, yielding the highest compressive strength (3 d strength > 30 MPa). Increasing SiO₂ dosage monotonically reduced strength; at 1200 °C, 9% SiO₂ reduced 3 d strength by ~40% compared to 1%. Hydration heat analysis showed that both heat flow rate and cumulative heat release increased with SiO₂ content due to enhanced heterogeneous nucleation from Mg₂SiO₄. Critically, this increased heat output did not translate into higher strength, indicating that microstructural quality—not reaction extent—governs mechanical performance. Rietveld quantification confirmed that Mg₂SiO₄ formation increased linearly with SiO₂ dosage and temperature (reaching 72.24% at 1500 °C with 9% SiO₂), providing the material basis for dual damage. This work offers mechanistic insights and experimental support for utilizing low-grade magnesite and optimizing MPC performance. Full article

This study examined the perceived quality of life of Portuguese gifted students compared with their non-gifted peers using the KIDSCREEN-27, a widely used instrument for assessing health-related quality of life in children and adolescents. Quality of life is the subjective perception of overall well-being resulting from the interaction of physical, psychological, social, and environmental factors. Previous research suggests that high intellectual ability does not necessarily ensure greater well-being and may coexist with social–emotional challenges, including perfectionism, anxiety, and difficulties in social integration. The sample consisted of 102 Portuguese students aged between 10 and 15 years old. They were in two groups (gifted and non-gifted), matched by gender. Gifted participants had previously been identified through psychoeducational assessment and were enrolled in the PEDAIS enrichment program promoted by the National Association for the Study and Intervention in Giftedness (ANEIS). Five quality-of-life dimensions were analyzed: physical well-being, psychological well-being, autonomy and parent relationships, peer social support, and school environment. MANOVA results indicated statistically significant differences between the groups, with gifted students reporting lower scores in physical well-being, autonomy and parent relationships, peer social support, and school environment. There were no significant differences in psychological well-being, indicating similar levels of perceived emotional well-being in both groups. These findings highlight the importance of considering the social and contextual dimensions of well-being in gifted education and reinforce the need for educational strategies that combine cognitive development with social–emotional support. However, the results should be interpreted with caution, as the gifted participants were recruited from a structured enrichment program, which may limit the generalizability of the findings to the broader population of gifted students. Full article

Background: Sarcopenia is an age-related syndrome characterized by progressive loss of skeletal muscle mass and strength, representing a major contributor to disability and increased mortality in older adults. Current diagnostic frameworks increasingly emphasize muscle quality alongside quantity, creating a clinical need for bedside tools that can objectively assess muscle mechanical properties. Shear-wave elastography (SWE), an ultrasound-based technique that quantifies muscle stiffness, has emerged as a promising biomechanical biomarker of muscle quality. Aim: This narrative review evaluates the evidence supporting SWE for assessing muscle quality and its association with aging, sarcopenia, and functional outcomes. Methods: We searched PubMed, Embase, and Web of Science (from January 2010 to December 2025) using terms related to elastography and sarcopenia. Based on relevance and methodological quality, approximately 50 key studies were selected for in-depth discussion and synthesis. Synthesis: Observational studies consistently demonstrate that SWE detects age-related reductions in muscle stiffness, which correlate significantly with declines in muscle strength and physical performance. Unlike conventional B-mode ultrasound, which primarily provides morphological parameters, SWE directly reflects intrinsic tissue mechanics, enabling more direct assessment of muscle quality. In high-risk populations such as patients with type 2 diabetes, reduced muscle stiffness is also associated with sarcopenia and poor functional outcomes. However, reported stiffness trends with aging remain heterogeneous, and validated diagnostic thresholds are lacking. Stiffness changes vary by muscle group, acquisition protocol, and loading state. Clinical implementation is currently limited by inter-device variability, operator dependence, and sensitivity to muscle loading conditions. Conclusions: Current evidence suggests that SWE holds promise as an adjunctive research tool for assessing muscle quality and risk stratification, but it is not yet ready for standalone clinical diagnosis due to methodological heterogeneity, lack of validated cutoffs, and limited longitudinal data. Future large-scale, longitudinal, multicenter studies with standardized protocols are needed to establish its definitive diagnostic utility. Full article

Despite the importance of surface microbiota in postharvest quality, the effects of mechanical damage on microbial succession in Hypsizygus marmoreus during refrigerated storage remain insufficiently understood. In this study, 16S rRNA gene and ITS amplicon sequencing were used to characterize the bacterial and fungal communities on intact and mechanically damaged H. marmoreus during 15 days of storage at 4 °C. Storage time, rather than mechanical damage, was the main driver of whole-community variation, although mechanical damage accelerated visible spoilage assessed qualitatively. Bacterial communities showed pronounced temporal turnover, shifting from early Firmicutes-rich assemblages to late-stage Proteobacteria-dominated communities, especially Pseudomonas. In contrast, fungal communities remained largely dominated by Ascomycota throughout storage, although mechanically damaged mushrooms showed a greater late-stage occurrence of opportunistic yeasts such as Candida. Predicted functional and phenotypic analyses further suggested late-stage increases in Gram-negative, aerobic, biofilm-forming, stress-tolerant, and potentially pathogenic bacterial traits. Because these traits were inferred from 16S rRNA gene-based prediction rather than measured directly, they should be interpreted cautiously. Overall, the results suggest that maintaining the physical integrity of H. marmoreus during postharvest handling may help preserve quality and delay the emergence of spoilage-associated microbial traits during refrigerated storage. Full article

Addressing the challenge of coordinated dispatch between wind/solar and thermal power in new energy grids, this research proposes a thermal power unit output prediction method based on a Transformer-BiLSTM hybrid deep learning model. First, a simulated annealing algorithm optimizes the output configuration of solar thermal power plants to mitigate fluctuations in wind and solar combined generation. An ant colony-greedy algorithm is then integrated to determine the optimal dispatch data for thermal power units, constructing a high-quality training dataset under physical constraints. In the model design, a bidirectional long short-term memory network captures short-term temporal features, while the Transformer’s multi-head self-attention mechanism models long-term dependencies. The model innovatively incorporates the learnable positional encoding to enhance temporal awareness. Experimental results demonstrate accurate predictions, with the power constraint mechanism effectively correcting over-limit forecasts. This ensures 98.7% of predictions during low-load periods comply with unit technical specifications. Compared to existing methods, this model avoids data limitations and manual feature engineering bottlenecks through the end-to-end wind–solar–thermal mapping, providing a high-precision solution for dispatch decisions in renewable-dominated grids. Full article

To address the limitation of insufficient mechanical strength and short service life in biodegradable bamboo fiber mulch film (BFM) replacing plastic film in agriculture, this study applied a biochemical method to make bamboo fiber and used bacterial cellulose (BC) as a natural nanoscale reinforcing agent to fabricate high-performance bacterial cellulose bamboo fiber mulch film (BC-BFM). The physical and mechanical properties, chemical structure, seed germination and degradation behavior performance of BC-BFM were characterized. Results demonstrated the structural compactness and homogeneity of the BC-BFM were improved markedly with the increase in BC addition and BC formed a 3D nanofibrillar network that effectively bridged inter-fiber voids. The tensile, burst and tear indexes of BC-BFM all significantly rose with BC addition. Notably, compared to plastic film and BFM, BC-BFM exhibited a good effect on mung bean seed germination and the best growth speed was at 5% BC addition. Furthermore, the degradation test showed that the degradation rate of BC-BFM within 90 d was three times less than that of BFM and service life was similar to plastic film. This showed that it was a promising method to prepare biodegradable high-quality BFM through biochemical preparation of bamboo fiber and BC nanocellulose reinforcement. This method markedly enhanced the mechanical performance and durability of BC-BFM, providing a feasible technical path for the development of biodegradable high-performance green agricultural covering materials with long service life. Full article

Fibrous natural-origin materials are not only attractive as raw materials in various applications but are also often produced as waste products in some manufacturing processes. Despite their comprehensive implementation as thermal or noise isolation materials, their behavior under mechanical load is not yet fully understood, and there are no assignments of existing universal material models for the category of fibrous materials. The conducted experimental research provides a methodology with which to evaluate the structural behavior of fibrous materials under applied compression force and classify these materials according to their mechanical properties based on a certain material model. As a result of this research, we observed that the mechanical properties of the fibrous material during compression mode are determined by the fibrous structure, with insignificant influence from the physical nature of the material itself. This investigation provides an analysis of the application of a hyperelastic incompressible isotropic model to fibrous material of different origins. Hyperelastic material models of the Money–Rivlin, Ogden, Yeoh, and polynomial type were implemented. The fitting quality of the Yeoh third-order model obtained the best fitting results for animal wool and mineral wool. Cotton wool showed the best fitting results with the polynomial fifth-order model. The outcome of this research will help create finite element models for structural analysis, efficiently modelling structural responses to vibration or noise. For most animal and mineral wool samples, the best agreement with the experimental compression curves was obtained using the Yeoh third-order hyperelastic model, with coefficients of determination R² between 0.979 and 0.996, while fifth-order polynomial fits locally reached R² up to 0.9999 for aged cotton wool. Full article

Background: Sarcopenia is characterized by progressive muscle weakness, impaired physical function, and reduced quality of life. Multimodal strategies combining rehabilitation and nutritional support that influence gut microbiota may help improve functional outcomes in adults at risk of sarcopenia. Objective: To evaluate whether a polyphenol-rich dietary recommendation associated with a nutritional supplement containing leucine, vitamin D3, and magnesium (SarcoDYN^®), in the context of a standardized rehabilitation program, provides superior improvements in functional and patient-reported outcomes compared with rehabilitation alone. Methods: This quasi-experimental, non-randomized retrospective study included 28 adults at risk of sarcopenia, divided into a study group (rehabilitation + polyphenol-rich diet + SarcoDYN^®) and a control group (rehabilitation only). Assessments were performed at baseline and after 3 months. Outcomes included SARC-F score, handgrip strength (dominant and non-dominant), sit-to-stand performance, perceived mobility, and perceived health status. Within- and between-group comparisons were conducted using appropriate parametric or non-parametric tests, and Spearman correlation analysis explored associations between functional, strength, and perceptual variables. Results: Both groups demonstrated significant within-group improvements in functional and patient-reported outcomes. At follow-up, the study group showed significantly better subjective outcomes, including lower SARC-F scores (U = 30.0, p = 0.002), higher perceived mobility (U = 40.0, p = 0.008), and higher perceived health status (U = 40.0, p = 0.008), compared with the control group. Objective post-intervention measures of handgrip strength and chair-rise performance did not differ significantly between groups. Correlation analysis revealed strong associations between SARC-F score, muscle strength, functional mobility, and perceived health. Conclusions: The combined intervention consisting of a polyphenol-rich diet that influence gut microbiota and SarcoDYN^® supplementation, delivered alongside a structured rehabilitation program, was associated with better patient-reported mobility and health perception in adults at risk of sarcopenia. These findings should be considered exploratory and hypothesis-generating, and require confirmation in larger controlled studies. Full article

The present study investigates simple cubic lattice structures fabricated through an FDM-based three-dimensional (3D) printing method using wood–polylactic acid (wood–PLA) bio-composite filament and develops a data-driven framework to predict their mechanical response. The design of experiments (DOE) was developed using a response surface methodology (RSM) based on a central composite design (CCD) that was implemented in Design-Expert software (Version 13). During fabrication, four different manufacturing parameters—the layer height, the printing speed, the nozzle temperature, and the infill density—were considered. The compressive strength and compressive modulus were evaluated experimentally, and the corresponding stress–strain responses were examined. The results reveal that the layer height is the most influential parameter, where lower layer heights (0.06–0.1 mm) significantly improve both the compressive strength and the modulus due to enhanced interlayer bonding and reduced void formation. The printing speed and the nozzle temperature also play critical roles, where lower printing speeds (≈40 mm/s) and moderate nozzle temperatures (≈195–205 °C) promote more uniform material deposition and improved interlayer bonding, while higher speeds (≥60 mm/s) and excessive temperatures (≈225 °C) lead to reduced bonding quality and a deterioration in mechanical performance. In contrast, the infill density exhibited a non-monotonic influence, where intermediate levels (around 70%) provided an improved performance under combinations of the low layer height (≈0.1 mm), the low printing speed (≈40 mm/s), and the moderate nozzle temperature (≈195–215 °C), suggesting an interaction-driven effect rather than a purely density-dependent trend. To complement the experimental findings, a machine learning model based on eXtreme Gradient Boosting (XGBoost) was developed using 12,000 data points that were derived from stress–strain curves. The model successfully predicted continuous mechanical responses with errors in the range of 2–8% for unseen specimens, suggesting its capability to capture the relationship between printing parameters and mechanical behavior within the studied design space. Overall, the study highlights that the mechanical properties of wood–PLA lattice structures can be effectively tailored by choosing an appropriate printing parameter control and demonstrates the feasibility of using machine learning to estimate mechanical performance without additional physical testing within the defined parameter domain. Full article

Background/Objectives: This cross-sectional study aimed to quantify hope levels in adolescents with chronic musculoskeletal pain (CMP) and examine patient-reported outcomes associated with hope. Methods: This was an exploratory, cross-sectional, secondary analysis of baseline data from a prospective, single-center longitudinal study of 60 youth presenting for an initial evaluation at a pediatric subspecialty pain clinic. Subjects were English-speaking 12–17-year-olds with a diagnosis of CMP, primarily female and non-Hispanic White, with diffuse pain, median pain duration of 2 years, and moderate to severe physical dysfunction. Subjects completed surveys measuring hope (Children’s Hope Scale [CHS]) and patient-reported mental, physical, and overall health. Associations between hope scores (total and each subscale) and patient-reported outcomes were evaluated using Spearman rank correlations. Results: The median CHS score was 20.0 (IQR: 16.5–25.0), indicating slight hope. Patient hope was negatively correlated with depression (r = −0.61), anxiety (r = −0.49), psychological distress (r = −0.52), functional disability (r = −0.43), and pain interference (r = −0.37), but not pain intensity. Adolescents’ hope was positively correlated with resilience (r = 0.74) and overall health (r = 0.55; all p < 0.01). Conclusions: Hope is correlated with various patient-reported health measures in youth with CMP. Although causal inferences are not possible due to the cross-sectional nature of this study, the results suggest that hope may be an important coping mechanism in pediatric chronic pain. Future efforts to incorporate existing resilience coaching programs into usual care may improve hope and health-related quality of life in youth with CMP. Full article

Continuous unidirectional (UD) thermoplastic composite tapes are increasingly used in aerospace, automotive, and energy applications because of their high specific strength, low weight, recyclability, and compatibility with automated manufacturing. Since final component performance strongly depends on tape quality, reliable defect characterization and detection are essential. In this study, manufacturing-induced defects in polypropylene-based UD tapes reinforced with carbon and glass fibers were investigated using real images acquired directly from laboratory-scale production without synthetic data. Defects related to interfacial integrity, matrix distribution, fiber architecture, and surface irregularities were systematically analyzed, and a practical four-class defect taxonomy was established. To enable automated inspection under limited-data conditions, lightweight YOLOv8, YOLOv11, and the new YOLO26 models were comparatively evaluated using a UD tape-specific augmentation strategy combining physically constrained Albumentations and on-the-fly augmentation. Among the tested models, YOLO26-s achieved the best overall performance, reaching a mean mAP@0.5 of 0.87 ± 0.03, outperforming YOLOv11 (0.83) and YOLOv8 (0.78), with 0.90 precision and 0.85 recall. Interfacial (0.92 mAP) and matrix-related (0.90 mAP) defects were detected most reliably, whereas fiber-related (0.89 mAP) and surface defects (0.79 mAP) remained more challenging, particularly in glass-fiber-reinforced tapes due to transparency-masking effects. The results demonstrate the potential of compact deep learning models for computationally efficient and manufacturing-relevant in-line quality monitoring of UD tape production. Full article

Soil health is a major environmental concern. Biochars are a promising solution to address both soil contamination and amendment. They represent a sustainable valorisation alternative for solid wastes produced in huge amounts, namely agroforestry residues and sludge from wastewater treatment plants. Biochar’s superior properties, enhanced pore structure and high specific surface area can contribute to restoring soil quality, by adsorbing several pollutants (e.g., pharmaceutical compounds, pesticides, and metals) from water and soil, enhancing water retention capacity, improving soil aggregation, regulating pH, and reducing the need for synthetic fertilisers. Multiple studies have reported removal efficiencies exceeding 70% for metals and 60% for organic compounds in soils, as well as over 40% for both organic compounds and metals in waters. These efficiencies depend on factors such as feedstock, pyrolysis conditions, modification strategies, and target contaminants. Recent advancements in the field have introduced both chemical and physical modifications that can enhance adsorption selectivity. This review provides a comprehensive analysis of the fundamentals of biochar production, modification strategies, and their environmental applications in soil remediation and water treatment. By comparing unmodified and modified biochars, this review highlights the crucial factors that influence the performance of this highly versatile and cost-effective solution. Full article

Background: Despite the cardiometabolic benefit of semaglutide, its impact on quality of life and whether patients’ characteristics influence clinical outcomes and health-related quality of life (HRQoL) remain ambiguous. Method: A retrospective review of patient charts was conducted after semaglutide initiation to assess the clinical impact of semaglutide, followed by a prospective analysis to evaluate HRQoL using the 36-Item Short Form Health Survey (SF-36). Descriptive and correlative analyses were conducted using SPSS software version 29 (IBM Corp., Armonk, NY, USA). Results: From a total of 715 patients, 255 (average age 59.1 years; 58.1% male participants) were subjected to clinical outcome analysis. The use of semaglutide was associated with significant reductions in HbA1c, total bilirubin, and TG and elevations in T4, TSH, Scr, and HDL. When each fifth value of each clinical parameter was compared with the baseline, gender revealed a significant impact, as females showed increased rates of elevated HDL (73.2% vs. 55.7%), reduced weight (69.8% vs. 55.7%), and reduced BMI (72.5% vs. 53.8%) compared to those in males. Despite the number of comorbidities significantly influencing BMI (p = 0.015), it had no impact on HbA1c post semaglutide use (p = 0.062). The same number of patients (n = 255), albeit having slightly different demographic and clinical characteristics, was included in the HRQoL analysis cohort. Females represented 54.5% of the cohort, and 71.0% were aged between 40 and <65 years. The average scores for all domains within the physical component summary (PCS) and mental component summary (MCS) were below 50, indicating a lack of perceived improvement in the overall quality of participants’ lives considering the pre-treatment period as the basis of comparison. In particular, younger age [OR 0.975, CI95% 0.953–0.998, p = 0.033] and being female [OR 0.273, CI95% 0.162–0.459, p < 0.001] led to reduced odds of scoring ≥ 50 in PCS, indicating a poor physical health state. On the contrary, older age [OR 1.036, CI95% 1.011–1.06, p = 0.004] increased the odds of scoring ≥ 50 in MCS, indicating a better mental health state in elderly vs. young semaglutide users. Although education level had significant influence on PCS, this did not extend to MCS. Upon investigating if type of change in a clinical parameter correlates with PCS and MCS scoring, only the decline in T4 reduced the odds of scoring MCS ≥ 50 [OR 0.5, CI95% 0.274–0.913, p = 0.024], while no significant influence was found either with other parameters or between clinical parameters and PCS. Conclusions: A lack of perceived improvement in HRQoL is noted with semaglutide use. Age, gender, and education play significant roles in HRQoL post semaglutide initiation. Overall, before prescribing semaglutide, patient counseling on its positive and negative effects is crucial to promote long-term adherence and optimize clinical outcomes. Full article

Background and Objectives: Population ageing is a major challenge of the 21st century and is associated with declining physical and mental abilities, increased disease burden, and higher mortality. Latvia has the lowest healthy life expectancy in the European Union. Social well-being is an important component of healthy and active ageing and may be associated with older adults’ quality of life (QoL). This study aimed to assess the relationship between social well-being, as a component of health, and QoL, including its components (control, autonomy, self-realisation and pleasure), among adults aged 50 and older in Latvia. Materials and Methods: Data from 1643 Latvian participants in wave 9 of the Survey of Health, Ageing, and Retirement in Europe (2022) were analysed using linear regression. QoL was measured using the 12-item Control, Autonomy, Self-Realisation, and Pleasure (CASP-12) scale. Social well-being factors included household composition, education, employment status, financial capacity, living area, social network (SN) characteristics, and received help, based on self-reported questionnaires. Results were considered statistically significant if the p-value was less than 0.05. Results: The factors positively associated with overall QoL were being employed, better financial capacity, greater satisfaction with SN, larger SN, participation in social activities, and higher educational attainment. Being employed and the ability to make ends meet easily were positively associated with all QoL components. Higher satisfaction with the SN and participation in social activities were positively related to the control, autonomy, pleasure, and self-realisation components. Conclusions: These findings underscore the importance of social and economic resources for QoL in later adulthood, suggesting that both the quality of social relationships and material security play a central role in shaping overall QoL and its components among older adults. Full article

Edible coatings (ECs) derived from natural biopolymers represent an effective preservation strategy for fruits and vegetables and a promising postharvest approach aligned with the increasing demand for sustainable agricultural practices. These Generally Recognized As Safe (GRAS)-based coatings, which are mainly polysaccharide-, protein-, and lipid-based, can extend shelf-life with minimal impact on texture, flavor, and nutritional value, reducing reliance on synthetic packaging and helping mitigate food loss and waste. Beyond acting as a physical barrier, ECs can significantly influence fruit and vegetable metabolism by modulating biochemical and molecular processes. This review focuses on these effects by summarizing evidence from conventional analytical methods, including targeted metabolite analyses, as well as omics-based approaches, primarily transcriptomics and metabolomics, which remain poorly explored in the current EC research literature. Furthermore, integrated metabolomic and transcriptomic analyses are examined, as they offer a more comprehensive understanding of the molecular mechanisms underlying quality attributes, stress responses, and preservation outcomes. Collectively, this work offers detailed insights into coating-induced changes in metabolite profiles and gene expression in coated fruits and vegetables, including formulations derived from agri-food by-products and coatings enriched with bioactive compounds with antioxidant, antimicrobial, and antifungal properties. Overall, by addressing a current gap in the literature, it provides an integrative and innovative framework for interpreting coating performance at both applied and molecular levels, with potential relevance for the agri-food industry and for future research aimed at developing more sustainable, effective, and commodity-tailored postharvest technologies. Full article