Search Results (15,805)

The poultry sector generates large amounts of feather waste every year, providing an abundant keratin-rich residue that is difficult to valorise due to its crosslinked and highly compacted crystalline structure. In the present work, with the aim of promoting its use in biodegradable plastic films, environmentally friendly processes, such as mechanical grinding (compactor grinder, CG), deep eutectic solvents (DES), and steam explosion process (SE) are being explored as alternatives to conventional chemical processes. Thus, biodegradable feather-based films were produced by compounding treated feathers in a torque rheometer at 40 wt.% with glycerol, ethylene glycol, and 1,2-propanediol (propylene glycol), followed by hot pressing. All formulations produced homogeneous and translucent films, which were characterized in terms of colorimetric properties and thermal and mechanical behaviour, as well as their degradation in soil conditions, revealing pronounced differences in properties as a function of the specific combination of feather treatment and plasticizer employed. Interestingly, soil disintegration tests revealed the fastest degradation of films of DES-treated feathers plasticized with glycerol. Overall, controlling feather treatment and plasticizer type enables tuning of mechanical performance and biodegradation, supporting keratin-based films as a viable route for feather waste valorisation. Full article

Magnetic nanocomposite sorbents are increasingly explored for the remediation of metal-contaminated waters; however, high abiotic removal efficiency may not always translate into biological safety. The present study evaluated the single and combined effects of dissolved cobalt (II) ions and magnetite–chitosan nanocomposites (MCN) in zebrafish (Danio rerio) embryos and larvae. MCN (30 wt.% Fe₃O₄) were synthesized via co-precipitation and crosslinking and physiochemically characterized. Adsorption experiments conducted in fish incubation medium demonstrated the efficacy of divalent Co removal and were well described by the Langmuir isotherm model, with a maximum experimental capacity of 20.08 mg g⁻¹. The biological endpoints encompassed survival, hatching, heart rate, locomotor behavior, and oxidative stress biomarkers in early-stage zebrafish. The presence of cobalt (II) was found to result in a reduced hatching success rate, the induction of persistent bradycardia, and the occurrence of oxidative stress, as evidenced by a decline in SOD activity and an increase in H₂O₂ and MDA levels. The study found that MCN alone did not lead to mortality or increase peroxide levels or lipid peroxidation, although a modest decrease in SOD activity was observed. In contrast, combined exposure to cobalt and MCN resulted in significant delayed mortality (>85% at 96 h) and early neuromotor impairment. These findings indicate that high abiotic sorption efficiency alone does not guarantee reduced biological toxicity when nanomaterial–metal interactions occur. Consequently, safety assessments of remediation nanomaterials should explicitly consider nanomaterial–metal interactions and developmental stage-specific biological responses. Full article

Background: High-grade serous ovarian carcinoma (HGSOC) is the most common and lethal subtype of epithelial ovarian cancer and is frequently diagnosed at advanced stages. Because currently available blood-based biomarkers have limited performance in early-stage disease, there is a need to identify circulating biomarker candidates associated with early-stage HGSOC. In this retrospective multi-institutional case–control study, we evaluated whether serum extracellular vesicle (EV)-associated protein signatures distinguish early-stage HGSOC from healthy controls. Methods: Serum samples (n = 252) were obtained retrospectively from multiple institutions and included healthy controls and patients with early- and advanced-stage HGSOC. EV-associated proteins were profiled using liquid chromatography–tandem mass spectrometry (LC–MS/MS) and proximity extension assay (PEA) to identify candidate proteins enriched in early-stage HGSOC. Selected candidates were evaluated by enzyme-linked immunosorbent assay (ELISA), and tissue-level expression was examined in early-stage HGSOC specimens. A multimarker combination model was generated using a smoothed empirical estimate of hyper-volume under the manifold (SHUM) approach and internally assessed by leave-one-out cross-validation. Results: Ten EV-associated serum proteins were prioritized on the basis of differential expression and fold change and were confirmed to be expressed in early-stage HGSOC tissues. In ELISA-based analyses, the combined 10-protein EV panel distinguished early-stage HGSOC from healthy controls with an area under the curve (AUC) of 0.99 in the study dataset, whereas MUC16 (CA-125) showed substantially lower performance in this comparison. The SHUM-based model yielded a true-positive rate of 0.971, a false-positive rate of 0.057, and a Matthews correlation coefficient of 0.915 in the analyzed cohort. Several candidate proteins were differentially enriched in EV fractions but not in matched whole serum. Conclusions: Serum EV-associated proteins are altered in early-stage HGSOC and define a multi-protein signature associated with this disease state in a retrospective case–control setting. These findings support further evaluation of EV-based biomarker candidates in clinically representative and prospectively collected cohorts that include benign gynecologic conditions, symptomatic patients, and pre-diagnostic samples. Full article

Background: Obesity and periodontitis are linked through inflammatory and metabolic pathways, and the oral microbiota may mediate this interaction. Age-related changes in immunity, salivary function, and cumulative exposure may modify obesity-associated periodontal dysbiosis. Objective: We sought to synthesize the potential for age-related differences in the oral microbiota of adult obese patients with periodontitis and assess the strength of current literature in supporting age-specific interpretations. Methods: A systematic search of PubMed/MEDLINE, Scopus, and Embase identified 1088 records. After screening and full-text assessment, 50 studies that met the criteria for focused qualitative synthesis remained. Within that review corpus, 10 representative adult human studies provided the most direct evidence linking obesity or overweight, periodontal phenotype, oral microbiota, and age-relevant interpretation. Risk of bias was appraised with the Newcastle–Ottawa Scale. Results: Direct head-to-head microbiome comparisons between younger and older obese adults with periodontitis are rare. Direct evidence links obesity to greater periodontal inflammatory burden, enrichment of classical periopathogens and bridging taxa, and shifts in community structure. Contextual aging studies have suggested that older adults may more often harbor lower-diversity, persistence-oriented communities enriched in stress-tolerant, proteolytic, or opportunistic taxa, whereas younger obese adults more often show inflammation-amplifying consortia enriched in classical periopathogens and bridging taxa. However, these patterns remain largely hypothesis-generating because the evidence base is heterogeneous and predominantly cross-sectional. Conclusions: Age likely modifies the obesity–periodontitis–microbiota axis, but direct comparative evidence on adults remains limited. The current literature supports cautious age-aware interpretation within a systematic review framework rather than definitive age-specific microbial signatures or treatment algorithms. Full article

Post-exercise appetite loss may interfere with adequate recovery nutrition in athletes; however, the substantial inter-individual variability in appetite responses remains insufficiently understood. This exploratory cross-sectional study investigated lifestyle- and health-related factors associated with post-exercise appetite loss in 35 female university athletes. Appetite loss was assessed as a self-reported binary outcome (often, sometimes/never). Associations with subjective sleep quality and other lifestyle-related variables were examined using contingency analysis, followed by exploratory logistic regression. Post-exercise appetite loss was reported by 74.3% of participants and did not differ across sports disciplines, indicating that the sport type alone did not explain the observed variability. Poor/fair subjective sleep quality was associated with appetite loss (OR = 11.6, 95% CI: 1.9–73.6) and remained associated in the multivariate model. Other lifestyle-related variables were not independently associated. These findings imply a potential connection linking post-exercise appetite responses in female university athletes to broader lifestyle-related factors, particularly subjective sleep quality, rather than exercise characteristics alone. Monitoring sleep quality may therefore help identify athletes who may be at risk of insufficient post-exercise energy intake and compromised recovery. Further studies with larger samples and longitudinal designs are needed to clarify these relationships. Full article

To investigate how natural inulin (FI) influences the quality of heat-induced beef myofibrillar protein (BMP) gels, BMP gel systems were prepared with graded FI concentrations (1%, 2%, 3%, 4%, and 5%). Texture analysis (TA), low-field nuclear magnetic resonance (LF-NMR), rheological measurements, scanning electron microscopy (SEM), and Fourier transform infrared spectroscopy (FT-IR) were used to systematically characterise changes in gel properties, water migration and distribution, microstructure, and protein secondary structure. The results showed that the improvement in gel quality produced by inulin was concentration-dependent. FI at addition levels of 1–2% promoted the ordered intermolecular cross-linking of beef myofibrillar proteins, thereby facilitating the formation of a homogeneous and compact three-dimensional gel network, as confirmed by SEM and CLSM observations. Notably, 2% FI was identified as the optimal addition level for the BMP gel system. Compared with the control group, this treatment produced the highest relative β-sheet content (82%) among all groups, optimised the internal water distribution of the gel by reducing the proportion of free water, enhanced the water-holding capacity of the gels (p < 0.05), and preserved the elasticity-dominated solid-state characteristics of the BMP gel system (tan δ < 1), indicating that FI improved gel strength without changing its fundamental properties. These findings provide an important theoretical basis and practical technical parameters for the development of functional beef products with both desirable texture and high dietary fibre content. Full article

Background: Ectopic fat deposition has been demonstrated to play a critical role in the onset and progression of renal dysfunction. However, research on renal parenchymal fat deposition and its association with renal dysfunction in type 2 diabetes mellitus (T2DM) remains limited, particularly regarding its association with early kidney injury. The present study aimed to further investigate the relationship between renal fat fraction (FF) and biomarkers of kidney injury, thereby providing new evidence for the potential link between intrarenal fat accumulation and early renal impairment in T2DM. Methods: This cross-sectional study enrolled 60 patients with T2DM. Renal FF was quantitatively assessed using magnetic resonance imaging (MRI). Clinical characteristics, body composition parameters, and biochemical indices were collected. Levels of kidney injury biomarkers, including tumor necrosis factor receptors 1 (TNF-R1), tumor necrosis factor receptors 2 (TNF-R2), chitinase-3-like protein 1 (YKL-40), and kidney injury molecule-1 (KIM-1), were measured using enzyme-linked immunosorbent assay (ELISA). To evaluate the correlations between fat distribution and inflammatory biomarkers, Pearson correlation analysis was performed. Furthermore, linear regression analysis was conducted to explore the associations between renal FF and kidney injury biomarkers with adjustments for potential confounders such as smoking status, diabetes duration, and visceral fat. Lasso regression was used to screen variables. Results: The results demonstrated that renal FF was significantly positively correlated with serum YKL-40 (r = 0.3, p = 0.021), TNF-R1 (r = 0.246, p = 0.042), and urinary KIM-1 (r = 0.396, p = 0.004), indicating a close association between renal fat accumulation and early kidney injury biomarkers. In regression analyses adjusted for age, sex, and duration of diabetes, the associations between renal FF and these biomarkers remained significant. After further adjustment for potential confounders, including smoking history, alcohol consumption, hypertension, renin-angiotensin-aldosterone system (RAAS) inhibitors, sodium-dependent glucose transporters 2 (SGLT2) inhibitors, glucagon-Like Peptide-1 (GLP-1) receptor agonists, and lipid-lowering drugs, renal FF remained significantly associated with TNF-R1 (β = 0.327, p = 0.015), KIM-1 (β = 0.352, p = 0.021), and YKL-40 (β = 0.275, p = 0.025). Moreover, even after additional adjustment for visceral fat, the associations of renal FF with TNF-R1 and KIM-1 persisted. After using the Benjamini–Hochberg procedure for false discovery rate, the relationship between renal FF and KIM-1 had a significant difference. Variables of age and gender were excluded to build the parsimonious modeling using Lasso regression. It suggested that renal fat accumulation may contribute to kidney injury independently of visceral adiposity. Conclusions: The study systematically demonstrates a significant association between renal FF and early biomarkers of kidney injury in T2DM, which may suggest the potential role of renal fat accumulation in the pathogenesis of diabetic nephropathy. These findings provide clinical data support for the development of a fat-targeted intervention study. Future research should further elucidate the long-term mechanistic role of renal FF in diabetic nephropathy, as well as its potential value in early diagnosis and therapeutic applications. Full article

Background/Objectives: Adequate nutrition in older adults is essential to maintaining health, functionality, and quality of life, particularly in long-term care hospitals (HACLEs). Previous studies suggest that dissatisfaction with hospital food is linked to longer stays, more complications, and negative perceptions of care. Given these concerns, this study aimed to assess patients’ experiences with hospital food over a 15-year period in a HACLE in Spain, identify key influencing factors, and validate an updated PREM (Patient Reported Experience Measure) tool for food services. Methods: A retrospective, observational, repeated cross-sectional study was conducted using annual PREM surveys administered between 2011 and 2025 to patients on oral diets. Psychometric validation of the updated 8-item version (2024) was conducted. Results: Out of 1618 surveys, 1540 were included in the final analysis. The updated PREM showed strong internal consistency (α = 0.85, ω = 0.87), a two-factor structure (food quality and service conditions), and adequate model fit. Perceptions worsened after a catering company change in 2022 but improved following the implementation of new food distribution carts in 2025. The PREM total score showed a strong positive association with the global satisfaction item, providing supportive evidence based on a closely related anchor measure (Spearman’s rho = 0.80, 95% CI 0.77–0.82; p < 0.001). Scores differed significantly by diet type: patients receiving a pureed diet reported the highest average satisfaction score, followed by those on a soft diet and a regular diet. The group on a soft diet excluding foods that pose a choking hazard had the lowest mean score. Conclusions: The validated PREM scale is a reliable tool to monitor patient experience with hospital food. It enables early detection of quality issues and supports targeted improvements. Routine use in long-term care settings may foster personalized, patient-centered nutrition strategies and enhance care quality. Full article

Magnetic wall-climbing robots have great potential applications for the maintenance and inspection of large steel structures. However, they are susceptible to overturning when climbing over obstacles on vertical walls, primarily due to localized failures in the adhesion and shifts in the center of gravity. To address this issue, this paper presents an improved robot design featuring a passive adaptive tracked mobility module and a link-spring anti-overturning module. The adaptive tracked mobility module, incorporating spring tensioning mechanisms and belt press wheels, enables dynamic conformity to uneven walls and maintains stable magnetic adhesion. The link-spring anti-overturning module converts the front-end lift during obstacle crossing into an anti-overturning moment applied to the rear end of the robot. Notably, there is no need for additional drivers or control units. The structural design and three-dimensional modeling of the robot are carried out. Its working principle is analyzed, and parametric modeling and simulation analysis are performed. A physical prototype is developed and obstacle-crossing experiments are conducted on a vertical wall. The results demonstrate that the adaptive tracked mobility module and the anti-overturning module can successfully assist the robot in climbing over an obstacle with a maximum height of 23 mm, and the robot exhibits excellent stability while climbing over continuous obstacles and moving on uneven vertical walls. Full article

Peptide-based materials represent a rapidly growing field in nanotechnology, bridging bottom-up self-assembly and top-down approaches for the development of functional nanostructures. Among these systems, peptide-based nanogels (NGs), namely nanogels in which peptides assume a structural role, have emerged as a promising class of injectable formulations. Typically characterized by a core–shell architecture, these systems are closely related to peptide hydrogels in terms of structural organization. This review provides a state-of-the-art overview of peptides used as core structural elements for NG formulation, focusing on the peptide building blocks employed, the main formulation methodologies, and their current applications, with particular emphasis on pharmaceutical ones. Their potential as drug delivery systems and stimuli-responsive platforms for controlled and targeted release is also reported. For clarity, the reported formulations are classified according to the chemical nature of the core-structuration peptide, distinguishing systems based on Fmoc-FF from those derived from other primary sequences, including Boc-protected tripeptides, dehydropeptides, and chemically crosslinked peptide assemblies. Full article

Rolling bearing fault diagnosis under complex and noisy operating conditions requires not only high diagnostic accuracy but also interpretability that can be quantitatively verified against physically meaningful excitation structures. However, many existing deep learning approaches rely on a single time–frequency (TF) representation and provide limited, non-verifiable links between model decisions and the original vibration patterns. To address this issue, we propose MBT-XAI, a multi-wavelet TF fusion network with a Token-to-Spectrum Traceback (TST) mechanism for structure-preserving, physics-consistent interpretability. Three complementary wavelets, namely Morlet, Mexican Hat, and Complex Morlet, are used to construct multi-view TF representations, which are encoded into RGB channels and adaptively fused via cross-channel attention within a Transformer backbone. TST maps patch-token attributions back to the TF domain, enabling quantitative evaluation of physics consistency through overlap-based metrics. Experiments on the public CWRU dataset and an industrial IMUST dataset show that MBT-XAI achieves 98.13 ± 0.24% and 96.23 ± 0.31% accuracy at SNR = 0 dB, outperforming the strongest baseline by 2.83% and 2.43%, respectively. Under AWGN contamination, MBT-XAI maintains 95.44 ± 0.38%/93.45 ± 0.47% accuracy on CWRU and 95.80 ± 0.33%/92.91 ± 0.51% accuracy on IMUST at SNR = −2/−4 dB. Under colored-noise contamination, the proposed method also preserves robust performance under pink and brown noise at the same SNR levels. Quantitative interpretability evaluation further indicates high alignment between salient frequency regions and theoretical fault-characteristic bands, with IoU = 80.21 ± 0.86% and Coverage = 91.70 ± 0.63%. In addition, MBT-XAI requires 10.393 M parameters and 10.678 GFLOPs, with an inference latency of 14.7 ms per sample (batch size = 1) on an NVIDIA GeForce RTX 3060 GPU. These results suggest that multi-wavelet TF modeling with attention-based fusion and TF-level traceback provides an accurate, robust, and physics-consistent framework for intelligent bearing fault diagnosis. Full article

Background/Objectives: Cardiovascular disease (CVD) is the leading cause of death in China. While obesity and dietary patterns are well-established factors, the independent association between overall dietary quality and CVD prevalence—specifically whether this link persists regardless of Body Mass Index (BMI)—requires further clarification. Furthermore, the behavioral and cognitive correlates that drive dietary quality, such as health literacy, remain insufficiently explored. This study evaluated the association of dietary quality with self-reported CVD among Chinese adults, independent of BMI, and identified the key behavioral and cognitive factors associated with dietary adherence in this population. Methods: This cross-sectional study surveyed 975 Chinese adults through anonymous questionnaires and collected self-reported data on CVD, BMI, dietary quality, and health literacy. One-way analysis of variance (ANOVA) and the chi-square test were used to compare the characteristics between groups, and multivariate Logistic regression was used to analyze the association between dietary quality and the odds of CVD, sequentially adjusting for variables such as BMI, physical activity. Results: Higher dietary quality was independently associated with lower odds of CVD (Model 3: OR = 0.879, 95% CI: 0.845–0.915, p < 0.001). Notably, this inverse association remained significant after adjusting for BMI, which itself showed no significant association with CVD prevalence in the multivariable model. Regarding population profiling, poor dietary quality was significantly related to regular smoking (p < 0.05), whereas age, gender, residence, employment status, and BMI showed no significant associations with dietary quality categories. Furthermore, health literacy (p < 0.05) and physical activity (p < 0.05) showed positive associations with superior dietary quality. Conclusions: Dietary quality is a significant independent factor inversely associated with CVD prevalence, regardless of obesity status. Suboptimal dietary habits cluster among smokers and individuals with lower health literacy and physical activity levels, showing a stronger association with cognitive and behavioral factors than with demographic or occupational characteristics. Interventions should prioritize enhancing health literacy and addressing the clustering of unhealthy behaviors to effectively address the cardiovascular burden in the Chinese population. Full article

Background: Most penicillin allergy labels are documented in early childhood and result from events of low risk for allergy. In Germany, evidence-based strategies to evaluate the likelihood of a true penicillin allergy are still lacking. As general practitioner input is indispensable regarding required resources for the implementation of successful delabeling strategies in outpatient care, a mixed-methods study in Baden-Württemberg, Germany explored untapped delabeling potential and conditions for successful initiatives based on their experiences, to support preservation of penicillin as a treatment option and prevent resistance development. Methods: A cross-sectional convergent mixed-methods study was conducted with an online survey and semi-structured interviews. The survey link and invitation to participate in an interview was sent to randomly selected publicly available e-mail addresses. Survey data were analyzed descriptively. Qualitative data were analyzed inductively based on thematic analysis. Results: n = 101 survey questionnaires and n = 15 interviews were analyzed regarding relevance, experiences, framework conditions, and potential approaches to delabeling. All participants with limited recollection of the index reaction. Most participants considered delabeling a highly relevant topic in general practice. Delabeling efforts were discouraged by lack of time, expertise, and remuneration, and uncertainty due to missing guidelines. Taking a sufficient medical history and, if necessary, subsequent testing were seen as one approach to delabeling. For a standardized approach in primary care, patient and care provider education, precise guideline recommendations, and delabeling expert teams were suggested. Conclusions: The findings mirror aspects already identified in international research. A nationwide survey with general practitioners could confirm that addressing necessary resources and systemic adjustments would support effective penicillin allergy delabeling in outpatient care. Full article

Benign prostatic hyperplasia (BPH) is an age-related disorder increasingly linked to chronic inflammation and redox imbalance, yet its systemic oxidative and nitrosative profile remains insufficiently characterized. In this cross-sectional study, fasting serum samples were collected from 47 men with clinically confirmed BPH scheduled for transurethral resection of the prostate and 40 healthy controls. We assessed antioxidant status (thiols, total antioxidant capacity), lipid peroxidation (malondialdehyde, 4-hydroxynonenal), protein nitration (3-nitrotyrosine), glycoxidation markers (Amadori products, advanced glycation end products (AGE)-associated fluorescence), and tryptophan metabolism indices (tryptophan, kynurenine, N′-formylkynurenine). Compared with controls, BPH patients showed significantly lower antioxidant capacity and thiol levels, together with increased lipid peroxidation and protein nitration. AGE-associated fluorescence was modestly elevated, whereas Amadori products and advanced oxidation protein products did not differ significantly. Tryptophan metabolism was markedly altered, with lower tryptophan and higher kynurenine and N′-formylkynurenine, indicating activation of the kynurenine pathway. After false discovery rate correction, most redox biomarkers remained significant. Multivariable logistic regression confirmed independent associations of lipid peroxidation, nitrosative stress, and kynurenine pathway activation with BPH after adjustment for age and metabolic parameters. These findings support a role for systemic oxidative and inflammatory mechanisms in BPH pathophysiology, although confirmation in age-matched and longitudinal studies is needed. Full article

To develop a fully green and non-toxic wood adhesive with improved water resistance and bonding performance for soybean meal (Glycine max (L.) Merr.)-based adhesives, oxidized tannin (OTN) was obtained by the laccase treatment of waxberry tannin (TN), a natural polyphenolic polymer, and then blended with soybean meal (SM) to prepare an oxidized tannin–soybean meal adhesive (OTS). Laccase-mediated oxidation converted the tannin polymer into quinone-rich oxidized polymeric structures, which reacted with amino groups in soybean meal proteins through Michael addition and Schiff base reactions to form a covalently crosslinked polymeric network. Under the optimal conditions of a laccase dosage of 10%, an oxidation time of 6 h, an OTN:SM mass ratio of 0.5:1, and a hot-pressing temperature of 160 °C, plywood bonded with OTS exhibited a wet shear strength of 0.85 MPa at 63 °C, representing a 136% increase over that of the neat soybean meal adhesive, and showed slightly higher bonding performance than the commercial urea-formaldehyde (UF) resin under boiling-water conditions. Structural analyses (FT-IR and XPS) verified quinone formation and carbon–nitrogen single and double bonds. Thermal analyses (DSC and TGA) revealed improved curing reactivity and significantly enhanced thermal stability compared with the neat soybean meal adhesive. Full article