Search Results (18,791)

Background: This study investigated the relationships between hematological and bone metabolism variables in 35 elite female trail runners, focusing on identifying key hematological correlates of bone health. Methods: Forty-four hematological variables, including biochemical, hormonal, metabolic, liver enzyme, and iron profiles, as well as complete blood count and platelet indices, were analyzed. Bone mineral density (BMD) and bone mineral content (BMC) were assessed at multiple skeletal regions via dual-energy X-ray absorptiometry (DXA). A cross-sectional design was employed, utilizing descriptive statistics, correlation analyses, and multiple linear regression to analyze the associations between hematological markers and BMC and BMD. Results: Significant but moderate associations were identified: magnesium consistently emerged as a negatively associated factor, particularly associated with BMC and BMD in the lumbar spine (L1–L4) and whole-body, potentially reflecting hypothesized mineral mobilization during chronic physical stress. Follicle-stimulating hormone showed positive associations with BMD, suggesting a potential protective association in bone turnover regulation. Additionally, calcium and thyroid hormones were linked to regional bone properties, highlighting site-specific skeletal vulnerabilities. Conclusions: These findings suggest a complex interplay between mineral homeostasis and hormonal balance that may be related to skeletal integrity in elite female trail runners. This work provides a foundation for developing evidence-based guidelines to support the health and performance of female endurance athletes. Further research is warranted to confirm these results through longitudinal evaluations. Full article

Background/objective: The palmaris longus muscle is a variable and often inconsistent muscle in the anterior compartment of the forearm. This fusiform-shaped muscle originates at the medial epicondyle of the humerus bone following a long and narrow tendon that inserts at the palmar aponeurosis. That tendon is used in reconstructive surgery, and for this reason, detailed information from an ultrasound is used to detect the tendon and the possible variations in the muscle. The present study aimed to investigate the palmaris longus muscle and its variations through ultrasound, anatomical, and histological analysis with clinical and surgical applications. Methods: A total of 72 upper limbs from 33 females and 39 males, 32 right and 40 left, were evaluated in ultrasound, anatomical, and histological studies. The main objective was to prove the existence of the palmaris longus muscle and its variations, as well as to measure the tendon for surgical applications. Results: Ultrasound analysis showed that it is possible to determine the existence of the muscle (76.4%) and its variations (23.6%), as well as its absence (15.3%). The anatomical results proved the ultrasound results. The width of the tendon was between 0.4 and 0.38 mm. by ultrasound and anatomical analysis. Also, normal palmaris longus tendons were not a direct cause of compression of the median nerve. Conclusions: It is important to confirm the existence and possible variations in the palmaris longus muscle and tendon through ultrasound before surgical reconstruction and for clinical diagnostics. Full article

Objectives: Clinical decision-support systems are computer-based tools to improve healthcare decision-making. However, their effectiveness depends on being positively perceived and well understood by healthcare professionals. Qualitative research is particularly valuable for exploring related behaviors and attitudes. This study aims to explore experiences of family physicians and nurses concerning the visualization, utility and understanding of the non-valvular atrial fibrillation clinical decision-support system (CDS-NVAF) tool in primary care in Catalonia, Spain. Methods: We performed a qualitative study, taking a pragmatic utilitarian approach, comprising focus groups with healthcare professionals from primary care centers in the intervention arm of the CDS-NVAF tool randomized clinical trial. A thematic content analysis was performed. Results: Thirty-three healthcare professionals participated in three focus groups. We identified three key themes: (1) barriers to tool adherence, encompassing problems related to understanding the CDS-NVAF tool, alert fatigue, and workload; (2) using the CDS-NVAF tool: differences in interpretations of Time in Therapeutic Range (TTR) assessments, and the value of TTR for assessing patient risk; (3) participants’ suggestions: improvements in workflow, technical aspects, and training in non-valvular atrial fibrillation management. Conclusions: Healthcare professionals endorsed a clinical decision-support system for managing oral anticoagulation in non-valvular atrial fibrillation patients in primary care. However, they emphasized the view that the CDS-NVAF requires technical changes related to its visualization and better integration in their workflow, as well as continuing training to reinforce their theoretical and practical knowledge for better TTR interpretation. Full article

Decentralized Finance (DeFi) has become a major component of digital asset markets, yet accurately valuing protocol performance remains difficult due to high volatility, nonlinear pricing dynamics, and persistent disclosure gaps that amplify valuation risk. This study develops an Optuna-tuned Super Learner stacked ensemble to improve risk-aware DeFi valuation, combining Extremely Randomized Trees (ETs), Support Vector Regression (SVR), and Categorical Boosting (CAT) as heterogeneous base learners, with a K-Nearest Neighbors (KNNs) meta-learner integrating their forecasts. Using an expanding-window panel time-series cross-validation design, the framework achieves significantly higher predictive accuracy than individual models, benchmark ensembles, and econometric baselines, obtaining RMSE = 0.085, MAE = 0.065, and R² = 0.97—representing a 25–36% reduction in valuation error. Wilcoxon tests confirm that these gains are statistically significant (p < 0.01). SHAP-based interpretability analysis identifies Gross Merchandise Volume (GMV) as the primary valuation determinant, followed by Total Value Locked (TVL) and key protocol design features such as Decentralized Exchange (DEX) classification, while revenue variables and inflation contribute secondary effects. The findings demonstrate how explainable ensemble learning can strengthen valuation accuracy, reduce information-driven uncertainty, and support risk-informed decision-making for investors, analysts, developers, and policymakers operating within rapidly evolving blockchain-based digital asset environments. Full article

Background: Bariatric surgery effectively treats severe obesity, but postoperative weight loss includes reductions in both fat mass (FM) and fat-free mass (FFM). Excessive FFM loss may increase the risk of sarcopenia, frailty, and long-term weight regain, yet its magnitude and determinants are not fully established. Methods: We conducted a retrospective analysis of a prospectively collected cohort of 179 patients who underwent laparoscopic or robotic Roux-en-Y gastric bypass between January 2020 and December 2022. Anthropometric parameters and body composition (bioelectrical impedance analysis) were measured preoperatively and at 6 and 12 months. The proportion of FFM loss relative to total weight loss (%FFML/WL) was calculated, and excessive FFM loss was defined using published cut-offs (≥25%, ≥30%, and ≥35%). Predictors of FFM preservation were assessed through stepwise regression. Results: Baseline BMI was 44.1 ± 4.6 kg/m², FM 54.6 ± 10.7 kg, and FFM 61.1 ± 11.9 kg. At 6 and 12 months, BMI decreased to 31.0 ± 4.2 and 28.8 ± 4.4 kg/m², respectively; FM decreased to 35.6 ± 11.0 and 22.0 ± 10.0 kg; and FFM to 54.7 ± 9.5 and 50.1 ± 7.0 kg (all p < 0.001). Most FFM loss occurred within the first 6 months (mean − 6.4 kg). Median %FFML/WL was 26.4% at 6 months and 28.7% at 12 months. Excessive FFM loss affected 41–46% of patients (≥25%), 27–31% (≥30%), and 14% (≥35%). In multivariable analysis, FFM at 6 months was the only independent predictor of FFM at 12 months (p < 0.001). Conclusions: Bariatric surgery leads to substantial FM and FFM reductions, with nearly half of patients exceeding established %FFML/WL alert thresholds. Early postoperative body composition monitoring may help identify individuals at higher risk of FFM depletion and guide preventive strategies such as adequate protein intake and resistance training. Full article

Plastic pollution is acknowledged as a serious problem for ecosystems. Among these plastics, polystyrene nanoplastics (PS-NPs) are emerging environmental pollutants, and their biological effects on hepatotoxicity are the least explored. Therefore, the present work examined the effect of PS-NPs on the hepatic transcription of the antioxidant genes Hmox1 and Sod3 in mice (n = 6, treatment (PS-NPs) vs. vehicle group (Veh)), mediated by RORγ and epigenetic modifications. The results show that PS-NP mice had significantly reduced body weight; increased activity of adenosine triphosphate (ATP), superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GSH), and Complexes I, III, and V in the liver; and increased Alanine Transaminase (ALT), Aspartate Transaminase (ASP), Alkaline Phosphatase (ALP), malondialdehyde (MDA) and reactive oxygen species (ROS) compared to the Veh group. Furthermore, PS-NPs resulted in considerably lower relative mRNA expression of Hmox1, Sod3, and RORγ in the liver than the Veh group. Likewise, when compared to Veh, PS-NPs significantly reduced the enrichment of RORγ, as well as the occupancies of the key components of the transcriptional activation pathway (P300, SRC1, Pol II, Ser5-Pol II, and Ser2-Pol II) at the loci of Hmox1 and Sod3. In comparison to Veh, PS-NPs showed downregulated occupancies of the histone active marks H3K9ac and H3K18ac, while H3K4me3 and H3K27me3 were higher at the target loci of Hmox1 and Sod3. In conclusion, the present study highlights that PS-NPs induce oxidative stress by modifying Hmox1 and Sod3 in mice’s livers through histone changes and nuclear receptor RORγ modulation. Full article

The rapid expansion of mindfulness research has generated both enthusiasm and controversy regarding its actual clinical value. While meditation is often regarded as the central mechanism of mindfulness-based interventions, other components such as psychoeducation and informal practice may play an equally significant role in improving mental health outcomes. This critical review examines the relative contributions of these elements to the therapeutic impact of mindfulness and clarifies the extent to which its effects are comparable to established treatments, particularly Cognitive Behavioral Therapy (CBT). Evidence from meta-analyses and high-quality trials indicates that mindfulness programs achieve moderate efficacy in reducing symptoms of anxiety, depression, and stress, but effect sizes are frequently inflated by methodological limitations. Importantly, cognitive and emotional regulation skills, especially acceptance and non-judgment, appear to sustain long-term benefits more consistently than meditation alone. These findings highlight the need for rigorous longitudinal studies and component-focused designs to identify the mechanisms that drive clinical change. By distinguishing between evidence-based applications and overstated claims, this review contributes to a more balanced understanding of mindfulness and its appropriate integration into healthcare. Full article

Background: Low-temperature stress represents a significant constraint on rice production, especially during the germination stage. Consequently, comprehending the mechanisms underlying cold tolerance is of utmost importance for the breeding of resilient rice varieties. This research systematically examined the phenotypic and physiological responses of a cold-tolerant cultivar (JND815) and a cold-sensitive cultivar (Jiyu Japonica) to low-temperature stress (15 °C) during the germination process. Methods: Following a 17-day incubation period, physiological analyses were conducted. Transcriptomic analysis was performed to identify differentially expressed genes (DEGs), which were further subjected to KEGG enrichment analysis and Gene Ontology (GO) annotation. Additionally, the expression trends of selected cold-responsive DEGs were verified via qRT-PCR. Results: Following a 17-day incubation period, physiological analyses indicated that, in comparison to the control group (28 °C), the stress treatment notably reduced the activities of superoxide dismutase (SOD) and catalase (CAT), while increasing the activity of peroxidase (POD) and the content of malondialdehyde (MDA). Significantly, JND815 accumulated a substantially lower amount of MDA than Jiyu Japonica, suggesting superior membrane stability and oxidative stress tolerance. Transcriptomic analysis identified 11,234 and 14,164 differentially expressed genes (DEGs) in JND815 and Jiyu Japonica, respectively. KEGG enrichment analysis demonstrated that these DEGs were significantly associated with phenylpropanoid biosynthesis and carbon metabolism, and Gene Ontology (GO) annotation classified them into biological processes, cellular components, and molecular functions. The expression trends of six cold-responsive DEGs were verified by qRT-PCR to be consistent with the transcriptomic data. Conclusions: These findings offer insights into the molecular mechanisms of the low-temperature response during rice germination and lay a foundation for the genetic improvement of cold-tolerant rice varieties. Full article

This study investigated the metabolic mechanisms driving physiological functional remodeling in RFM by analyzing plasma biochemical parameters and metabolomic profiles at key peripartum timepoints (21 and 7 d prepartum and 4 h postpartum), integrated with placental and fetal membrane metabolic characteristics. The results revealed that RFM cows exhibited significant negative energy balance (NEB) as early as 21 days before parturition, characterized by elevated plasma levels of non-esterified fatty acids, β-hydroxybutyrate, and malondialdehyde, alongside reduced activity of antioxidant enzymes (GSH-Px, CAT) (p ≤ 0.05). Metabolomic analysis demonstrated persistent lipid metabolism dysregulation, amino acid imbalance, and nucleotide metabolism disturbances in RFM cows from 21 days prepartum to 4 h postpartum, indicating premature mobilization of adipose and muscle tissues. Further metabolomic analyses of the placenta and fetal membranes confirmed that metabolic dysfunction compromises energy supply during parturition, adversely affecting immune homeostasis and extracellular matrix degradation in the placenta and fetal membranes of RFM dairy cows. These physiological dysfunctions have the potential to impede the timely expulsion of fetal membranes after calving. In conclusion, RFM is closely associated with early-onset metabolic dysfunction during the periparturient period, where insufficient energy supply due to NEB, oxidative stress, and immune-endocrine disruptions collectively impair normal fetal membrane detachment. Full article

Tobacco mosaic virus (TMV) threatens crop yield and quality, while chemical antivirals offer limited efficacy and potential environmental hazards. Marine fungal polysaccharides are promising eco-friendly alternatives due to their biocompatibility and biodegradability. Here, extracellular polysaccharides (EPSs) from the deep-sea fungus Beauveria bassiana T2-2 was isolated, characterized, and produced under optimized conditions (28 °C, 200 rpm, 9 days, pH 8, inoculum 4%) using an L9 (3⁴) orthogonal medium, yielding 3.42 g/L, which is a 48% increase over unoptimized culture. EPSs were glucose-rich, with a molecular weight of 3.56 × 10⁴ Da, containing 90.05% total sugar, 0.28% protein, 1.15% uronic acid, and 1.18% sulfate. In a Nicotiana benthamiana–TMV model, EPSs alleviated viral symptoms, maintained chlorophyll content, enhanced antioxidant enzymes (SOD, POD, CAT), reduced malondialdehyde, and upregulated defense genes in SA, ET, ROS, and phenylpropanoid pathways. EPSs, alone or combined with Ribavirin, activated multi-pathway antiviral immunity, highlighting its potential as a sustainable plant-protective agent. Full article

Sporothrix species are thermally dimorphic fungi responsible for sporotrichosis, a globally prevalent subcutaneous mycosis and an emerging zoonotic threat, particularly in South America. The high virulence of Sporothrix brasiliensis and its efficient transmission from cats to humans have intensified recent outbreaks, underscoring the importance of understanding the pathogenic mechanisms. While several putative virulence factors have been identified, such as melanin production, cell wall remodeling, extracellular vesicles, and thermotolerance, functional studies remain hampered by limited molecular tools. Recent advances, including random mutagenesis, protoplast-mediated transformation, Agrobacterium tumefaciens-mediated transformation, RNA interference and CRISPR/Cas9-based genome editing, are changing this landscape. These methods have enabled the functional validation of key virulence factors and the investigation of gene function in both environmental and clinical strains. In this review, we summarize the genetic toolbox available for Sporothrix, outline current challenges, and discuss how these strategies are reshaping the study of fungal virulence and host–pathogen interactions. Full article

Bacterial contamination remains a challenge for multiple facets of modern life. While antibiotics are a primary tool for bacterial control, their overuse has accelerated the appearance of multidrug-resistant bacteria and raises global health concerns. In swine, semen is stored at 17 °C in extenders that contain antibiotics to prevent bacterial growth. Apart from the potential consequences for the female, the proliferation of bacteria in liquid-stored semen is associated with a decline in sperm quality, ultimately reducing farrowing rates and litter sizes. With the aim of reducing the use of antibiotics while keeping bacterial growth under control, we herein investigated whether metal ions could exert an antimicrobial effect without impairing sperm quality. Separate metal ions (Ag, silver sulfadiazine; Al, aluminum chloride; Zn, zinc chloride; and Cu, and cooper chloride) were added at different concentrations (100 μM, 300 μM, 500 μM, 1 mM, and 10 mM) to seminal doses, which were stored at 17 °C for 48 h. Motility, viability, and the intracellular levels of reactive oxygen species (ROS) were tested to determine their effects on sperm quality maintenance. In addition, ions were added to bacterial strains and to extended seminal samples to assess the minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC). Results showed that, although silver sulfadiazine exerted an antimicrobial effect at all the concentrations tested, it also affected sperm quality negatively (p < 0.05). In contrast, aluminum chloride did not impair sperm quality but failed to inhibit bacterial growth at any of the tested concentrations (p > 0.05). Finally, 1 mM concentrations of copper and zinc chloride reduced microbial growth (p < 0.05) without affecting sperm quality. In spite of this, the inhibition of bacterial growth was not complete, thus suggesting that these two ions could contribute to reducing bacterial growth but should be combined with other strategies, such as a lower storage temperature and a decreased concentration of antibiotics. Further research is warranted to address whether copper and zinc chloride could have a synergistic effect when added together. Full article

Due to the allergenicity of soy protein, this study aimed to develop a hypoallergenic, dysphagia-friendly matrix using pea protein isolate. We investigated the effects of three hydrocolloid thickeners—xanthan gum (XG), guar gum (G), and carrageenan (C)—at various concentrations on the matrices’ rheological properties, textural characteristics, and dysphagia diet classification. The unthickened pea protein base was unstable, exhibiting rapid phase separation and low viscosity, unsuitable for dysphagia diets. The addition of XG (0.4–0.6 g), G (0.5–1.0 g), and C (0.8–1.2 g) successfully produced food matrices meeting the slightly, mildly, and moderately thick levels of the Japanese Society of Dysphagia Rehabilitation (JSDR) framework. However, discrepancies were noted between instrumental viscosity and syringe flow test classifications. Rheological analysis revealed that XG samples were in elastic (G′ > G″) domain in the linear viscoelastic region (LVR) and exhibited shear-thinning behavior. In contrast, G and C samples were in viscous (G″ > G′) domain. Frequency sweeps characterize XG samples as weak gels, G samples as dilute polymer solutions, and C samples as gel-like structures. Texture profile analysis further showed that xanthan gum imparted the highest firmness and thickness, whereas guar gum provided the best flowability. Full article

Volatility in the modern world and electricity Day-Ahead Markets (DAMs) usually makes long-term historical data irrelevant or even detrimental for accurate forecasting. This study directly addresses this challenge by proposing a novel forecasting paradigm centered on extremely short training windows, ranging from 7 to 90 days, to maximize responsiveness to recent market dynamics. This volatility-driven approach intentionally creates a data-scarce environment where the suitability of deep learning models is limited. Building on the hypothesis that shallow machine learning models, and more specifically boosting trees, are better adapted to this reality, we evaluate four models, namely LSTM with feed-forward error correction, XGBoost, LightGBM, and CatBoost, across three European energy markets (Greece, Belgium, Ireland) using feature sets derived from ENTSO-E forecast data. Results consistently demonstrate that LightGBM provides superior forecasting accuracy and robustness, particularly when trained on 45–60 day windows, which strike an optimal balance between temporal relevance and learning depth. Furthermore, a stronger capability in detecting seasonal effects and peak price events is exhibited. These findings validate that a short-window training strategy, combined with computationally efficient shallow models, is a highly effective and practical approach for navigating the volatility and data constraints of modern DAM forecasting. Full article

The Soil and Plant Analyzer Development (SPAD) value is a reliable proxy for chlorophyll, yet conventional field measurement remains labor-intensive and spatially limited. Current remote sensing inversion models typically depend on costly multispectral sensors and rarely account for phenological changes, restricting their applicability across orchards and seasons. To overcome these limitations, this study introduces a stage-aware and low-cost SPAD inversion framework for jujube trees, integrating multi-source data fusion and an optimized ensemble model. A two-year experiment (2023–2024) combined UAV multispectral vegetation indices (VI) with RGB-derived color indices (CI) across leaf expansion, flowering, and fruit-setting stages. Rather than using static features, stage-specific predictors were systematically identified through a hybrid selection mechanism combining Random Forest Cumulative Feature Importance (RF-CFI), Recursive Feature Elimination (RFE), and F-tests. Building on these tailored features, XGBoost, decision tree (DT), CatBoost, and an Optimized Integrated Architecture (OIA) were developed, with all hyperparameters globally tuned using a genetic algorithm (GA). The RFI-CFI-OIA-GA model delivered superior accuracy (R² = 0.758–0.828; MSE = 0.214–2.593; MAPE = 0.01–0.045 in 2024) in the training dataset, and robust cross-year transferability (R² = 0.541–0.608; MSE = 0.698–5.139; MAPE = 0.015–0.058 in 2023). These results demonstrate that incorporating phenological perception into multi-source data fusion substantially reduces interference and enhances generalizability, providing a scalable and reusable strategy for precision orchard management and spatiotemporal SPAD mapping. Full article