Search Results (17,723)

This study evaluated the effects of replacing soybean meal with cashew nut roasting residue (CNRR) on feed intake, nutrient digestibility, rumen fermentation, blood metabolites, and economic efficiency in lactating crossbred Saanen goats. Fifteen does were assigned to a completely randomized design with three treatments: 0% CNRR (T1), 10% replacement of soybean meal protein (T2), and 20% replacement (T3). Goats were fed pangola hay ad libitum and concentrate according to milk yield (1:2). Total dry matter, organic matter, crude protein, and fiber intake were not affected by dietary treatments (p > 0.05). However, crude protein digestibility decreased from 68.83% in the control group to 52.72% and 51.21% in the CNRR treatments (p < 0.05). Rumen pH and total volatile fatty acids remained within normal physiological ranges, suggesting stable rumen fermentation. Blood parameters, including packed cell volume, glucose, and blood urea nitrogen, were not influenced by CNRR supplementation (p > 0.05). Economic analysis showed reduced feed cost with increasing CNRR inclusion. In conclusion, CNRR can replace soybean meal protein at rates of up to 20% without affecting feed intake, ruminal pH, or measured blood metabolites; however, crude protein digestibility was reduced, indicating that dietary formulation may require adjustment. Full article

This study assessed the impact of cocrystal essential oil (CEO) inclusion on growth performance, nutrient digestibility, intestinal morphology, and antioxidant status in weaned piglets. Ninety-six weaned piglets were assigned to four groups (n = 8, three piglets per pen). The piglets in the four groups were fed basal diets added with 0, 120, 180, or 240 mg/kg of CEO, respectively, over a 28-day trial period. Results showed that during weeks 1–2, piglets in the 240 mg/kg CEO group exhibited a lower diarrhea rate and diarrhea index compared to the control group (p < 0.05). In weeks 3–4, the 180 and 240 mg/kg CEO groups demonstrated a reduced diarrhea rate and diarrhea index compared to the control group (p < 0.05). Relative to the control group, the apparent total tract digestibility (ATTD) of dry matter was elevated in piglets fed diets added with 120, 180, or 240 mg/kg CEO at both day 14 and day 28 (p < 0.05). Additionally, the ATTD of crude protein was elevated in the 120 mg/kg CEO group at day 14 and in the 180 mg/kg CEO group at day 28 (p < 0.05). Regarding intestinal morphology, supplementation with 180 or 240 mg/kg CEO increased jejunal villus height (VH) and the villus height to crypt depth (VH/CD) ratio compared with the control group (p < 0.05). Furthermore, 240 mg/kg CEO supplementation augmented the ileal VH/CD ratio relative to the control group (p < 0.05). For antioxidant status, 180 mg/kg CEO supplementation elevated serum glutathione peroxidase (GSH-Px) activity in piglets relative to the control group (p < 0.05). Importantly, no differences were found between the 180 mg/kg and 240 mg/kg CEO groups across all measured parameters (p > 0.05). In conclusion, dietary inclusion with 180 mg/kg CEO is recommended for weaned piglets, given its comprehensive benefits in alleviating diarrhea, improving nutrient digestibility, enhancing intestinal morphology, and bolstering antioxidant status. Full article

Withthe widespread deployment of intelligent terminals, mobile payment platforms, and Internet of Things devices, security systems are being progressively transformed from traditional transaction outcome analysis toward an intelligent perception paradigm centered on user behavior, device states, and environmental context. To address the challenges of multimodal data heterogeneity, non-independent and identically distributed data across nodes, and the difficulty of centralized modeling under privacy constraints in distributed scenarios, an artificial intelligence-driven federated multimodal security perception framework, namely FMS-LLM, is proposed. At its core, the framework introduces a Non-IID adaptive federated fusion mechanism that achieves dual-level alignment—structural alignment via parameter-level masks and semantic alignment via feature consistency constraints—to effectively mitigate cross-node distribution discrepancies. Additionally, an LLM-driven semantic enhancement module is developed, utilizing trend-guided token selection and inertia-suppression to map low-level sensing features into high-level risk semantic representations, thereby supporting logical reasoning and explainable decision-making. This framework takes user behavioral sensing data, device state information, environmental context data, and transaction behavior data as inputs, and constructs an integrated security analysis pipeline of “perception–collaboration–reasoning”. Experimental results on the distributed multimodal security perception task demonstrate that the proposed method achieves an Accuracy of 91.62%, a Precision of 91.04%, a Recall of 90.37%, an F1-score of 90.70%, and a ROC-AUC of 94.73%, consistently outperforming baseline methods including Logistic Regression, Random Forest, LSTM, the centralized multimodal deep model, FedAvg, FedProx, and MOON. Under strongly Non-IID conditions, when $\alpha =0.1$, the model still maintains an Accuracy of 88.47% and an F1-score of 87.11%, demonstrating stronger cross-node robustness. The ablation study further indicates that the complete model attains the best classification performance while reducing communication cost to 18.92 MB/Round. These results demonstrate that the proposed method can effectively fuse multi-source sensing information under privacy-preserving conditions and support intelligent security perception tasks with higher accuracy, stronger robustness, and improved interpretability. Full article

This paper presents a non-imaging landmine detection system that integrates a highly sensitive multiple-input multiple-output (MIMO) microwave sensor with a machine learning (ML) classifier for automated classification. The proposed sensor consists of two circular patch elements fed with two ports designed in a unique configuration, comprising a dual loop with a cross dipole, for enhancing sensitivity to changes in the environmental electrical properties (dielectric constant and electrical conductivity) induced by buried metallic objects. It operates in dual bands of 1.58 GHz and 1.75 GHz, within the operating frequency range of 1.3 to 2 GHz. The system’s performance was assessed using full-wave simulations and experimental measurements, involving a sand-filled foam container with a metal surrogate landmine placed at different depths. The sensor’s performance was evaluated by monitoring changes in the magnitude and phase of the reflection coefficient ($S_{11}$) and the transmission coefficient ($S_{21}$). The acquired scattering parameters data were processed using a Support Vector Machine (SVM) algorithm for automated classification. Results demonstrate the sensor’s high capability in detecting metallic targets at various depths and standoff distances. Compared to conventional imaging technologies, this system offers significant advantages in cost, simplicity, and ease of data processing. The SVM models trained on measurement data with proper feature selection showed a high level of agreement with their counterparts trained on simulation data. Stratified k-fold cross-validation was used to improve the reliability of accuracy metrics, with results showing 85% or higher mean accuracy in all classification scenarios. Full article

Iron overload significantly contributes to chronic kidney disease progression by triggering oxidative stress and mitochondrial impairment via the Fenton reaction. This study investigates the protective role of aldehyde dehydrogenase 1a3 (ALDH1a3), an enzyme that detoxifies reactive aldehydes, in renal iron overload. C57BL/6N mice were fed a 2.25% ferric citrate diet for 24 weeks to establish a chronic model, followed by treatment with the chelator Dimercaprol (DP). In vitro, TCMK−1 cells were subjected to iron intervention with ALDH1a3 overexpression or inhibition. Chronic iron overload induced significant renal iron deposition, lipid peroxidation (elevated MDA, depleted GSH), and mitochondrial structural damage. ALDH1a3 was endogenously upregulated in renal tubular epithelial cells under iron stress. Overexpressing ALDH1a3 significantly enhanced cell viability, suppressed reactive oxygen species and MDA levels, and preserved mitochondrial membrane potential, whereas its inhibition exacerbated cellular damage. Furthermore, DP treatment reduced iron deposition and was associated with increased ALDH1a3 expression. In conclusion, ALDH1a3 acts as a critical endogenous protective factor against iron−induced nephrotoxicity by mitigating oxidative damage and maintaining mitochondrial stability. These findings indicate that ALDH1a3 is a promising potential therapeutic target for the treatment of iron overload−related kidney diseases. Full article

Background: Red ginseng (RG) exhibits enhanced bioactivity compared to white ginseng. Although the beneficial effects of RG have been well investigated in disease models, its impacts on the metabolome, gut microbiota, and immune response under normal physiological conditions remain poorly understood. Methods: Rats were randomized into three groups: control (normal diet), RL (low-dose RGE at 100 mg/kg body weight), and RH (high-dose RGE at 200 mg/kg body weight). After five weeks, metabolite profiles of the blood, liver, kidney, and large intestinal contents were analyzed and the gut microbiota was assessed. Splenocytes were isolated and treated with or without ethanol-precipitated carbohydrate fractions isolated from RGE or from intestinal contents, and IL-12 secretion was measured. Additionally, the correlations among biochemical characteristics, metabolites, gut microbiota, and immune markers were analyzed. Results: RGE intake decreased plasma triglycerides, liver function biomarkers, and epididymal adipose tissue weight. It also altered metabolite profiles for plasma, liver, kidney, and intestinal contents and increased the hepatic NAD⁺/NADH ratio. RGE intake reduced the populations of harmful bacteria, whereas it increased Lachnospiraceae. RGE intake enhanced IL-12 production in splenocytes. Furthermore, splenocytes treated with carbohydrates isolated from the small and large intestinal contents of RGE-fed rats secreted higher IL-12 levels than those of the control group. Conclusions: RGE modulated the gut microbiota, metabolism, and immune responses in healthy rats under normal physiological conditions, warranting further investigation into the underlying mechanisms. Full article

As multi-view datasets expand across diverse practical fields, feature selection (FS) has become an indispensable preparatory stage for machine learning models. Nevertheless, real-world multi-view data is often unlabeled and distributed among isolated clients, posing significant challenges to traditional centralized methods due to privacy concerns and communication constraints. Furthermore, existing centralized and federated approaches frequently suffer from entrapment in local optima and lack robust convergence guarantees. To address these issues, we propose Fed-MUFSHT, a federated framework for multi-view unsupervised FS (MUFS) that integrates tensor learning with a novel metaheuristic optimizer, Hierarchical-Cognitive Tianji’s Horse Racing Optimization (HC-THRO). Within the federated learning paradigm, Fed-MUFSHT follows a dual-stage local optimization process. Stage 1 applies HC-THRO, which integrates Hierarchical Competitive Learning and Adaptive Cognitive Mapping to simulate multi-level strategic competition and cognitive adaptation among individuals. This design enhances global exploration, adaptive learning, and fine-grained feature selection in high-dimensional spaces. Stage 2 employs a TL module based on canonical polyadic (CP) decomposition to perform missing-view imputation and refine latent representation learning. At the global level, a privacy-preserving aggregation strategy based on Normalized Mutual Information (NMI) and feature weights enables efficient model coordination without exposing raw data. Comparative experiments on several public benchmark datasets reveal that Fed-MUFSHT maintains clear advantages over strong competing methods, showing better optimization results together with more dependable convergence characteristics. The overall evidence suggests that the proposed approach is both robust and effective for distributed optimization tasks involving privacy protection. Full article

This paper investigates federated multi-centre liver tumour classification from contrast-enhanced CT under realistic data heterogeneity and domain shift. To address the practical constraint that medical data are often siloed across institutions, we develop a FedProx-based federated learning pipeline that enables collaborative training without exchanging raw patient data. Using the LiTS dataset as the training domain, we construct a slice-level binary classification task based on voxel-level annotations, while rigorously assessing out-of-distribution generalisation on an external held-out dataset, 3D-IRCADb. We conduct comprehensive experiments across multiple backbone architectures, including ResNet-50, EfficientNet-B3, ViT-B/16, and MobileNetV3-Small, comparing FedProx and FedAvg under three heterogeneity intensities (IID, mild non-IID, and severe non-IID). Furthermore, we evaluate transfer learning strategies, ranging from frozen backbones to partial fine-tuning of the last stage, and perform ablations on the proximal coefficient $\mu$ and local epochs E to characterise optimisation behaviour. Our results show that FedProx is generally comparable to FedAvg, with slightly more stable behaviour in some heterogeneous settings. We also observe a clear validation-to-external gap, indicating that external-domain robustness remains challenging and requires cautious interpretation for deployment. ImageNet pretraining yields consistent gains, particularly for data-sparse clients, while partial fine-tuning enhances adaptation to CT-specific features. Finally, MobileNetV3-Small offers a favourable performance–efficiency trade-off by reducing communication payload and computation cost, supporting practical deployment on resource-constrained clinical edge devices. Full article

The demand for functional dairy products is increasing, in response to the adverse correlation between high saturated fat consumption and cardiovascular health problems. The present study investigated the physicochemical and sensory features of a prototype of functional reduced-fat Mozzarella cheese fortified with inulin made from milk obtained by integrating the cattle diet with laurel essential oil (LEO). Two samples were compared over a 10-day storage period: a whole-milk Mozzarella cheese (MC), and a reduced-fat Mozzarella cheese fortified with 10% (w/v) of inulin (MI). The results show that incorporating inulin during the stretching phase required more time (2.55 min longer) to obtain the final product. However, in addition to a 5% fat decrease, the MI cheese achieved an inulin content of 3.31%, satisfying the European Regulation No 1924/2006, for the “Source of Fiber” claim. On the other hand, from a nutritional perspective, the dietary LEO integration significantly modulated the lipid fraction of the sample, resulting in a 40% increase in monounsaturated fatty acids (MUFAs) and a marked enrichment in polyunsaturated fatty acids (PUFAs). Considering the texture attributes, the incorporation of inulin during the stretching phase led to the formation of a micro-gel that acted as a functional filler, resulting in significantly higher hardness (33.41 N for MI and 16.10 N for MC), throughout the 10-day storage period. Temporal Check-All-That-Apply (TCATA) analysis confirmed that while the MI sample introduced vegetable and cooked milk notes, MI maintained major textural integrity throughout the shelf-life. These findings demonstrate that the synergy between inulin fortification and dietary laurel essential oil supplementation represents a highly effective strategy for producing reduced-fat pasta filata cheeses. This dual approach not only preserves sensory and textural integrity but also yields a high-value functional product characterized by an optimized fatty acid profile and a significant fiber intake. Full article

Wastewater treatment plants (WWTPs) are key reservoirs for antibiotic resistance genes (ARGs), particularly when linked to mobile genetic elements (MGEs) and specific microbial hosts. We applied Oxford Nanopore long-read sequencing using complementary contig- and read-based approaches to profile the resistome, mobilome, and host taxonomy in influent and effluent samples from WWTPs in Slovakia and Taiwan. Multidrug resistance was the dominant class in all samples, reaching 40.29–60.06% in Taiwanese and 20.00–35.56% in Slovak WWTPs, followed by MLS and tetracycline resistance. These differences reflect country-specific inputs: Taiwanese WWTPs receiving hospital effluent showed higher multidrug resistance, while Slovak WWTPs, fed by municipal and agricultural wastewater, were dominated by tetracycline resistance and Aliarcobacter cryaerophilus. In Taiwan, Acinetobacter baumannii carried multiple ARGs, including msrE and the regulatory gene ompR, co-localized with MGEs on plasmid- and chromosome-associated contigs. Clinically important Enterococcus faecium (Taiwan) and Staphylococcus pseudintermedius (Slovakia), both WHO-priority pathogens, were identified as hosts for MLS and multidrug resistance genes co-localized with MGEs. These findings suggest that integrating contig- and read-based long-read analyses improves ARG compartmentalization, MGE co-localization, and host assignment in wastewater environments beyond either approach alone. Full article

Excessive dietary sodium intake has been associated with immune dysregulation, yet its impact on bone health and immune cell dynamics within the bone–immune axis remains poorly understood. We developed a longitudinal murine model to investigate the effects of a high-salt diet (HSD) on bone properties and immunity. Male and female C57BL/6J and Foxp3-GFP mice underwent unilateral nephrectomy and were fed either a normal salt diet (0.2% NaCl) or HSD (4% NaCl) for 20, 60, or 150 days. HSD mice exhibited a transient increase in systolic blood pressure and sustained calciuria without changes in serum calcium or PTH. Progressive impairment of femoral strength and tibial trabecular microarchitecture were observed, along with reduced cortical calcium and phosphorus content. Immune analysis revealed early splenic and bone marrow activation of effector T cells, with increased Th17 and Tc17 populations and a disrupted Th17/Treg balance at 20 days. These changes normalized by 60 days and shifted to suppressed T cell activation at 150 days, suggesting a biphasic immune response. Th17/Treg ratio was associated with bone deterioration. Notably, both sexes showed comparable physiological and immune trends. This integrative model provides a platform to dissect mechanisms linking chronic salt overload, immune dysregulation, and bone fragility. Full article

Background: Postmenopausal osteoporosis is a common metabolic bone disorder characterized by decreased bone mass and microstructural deterioration, often accompanied by increased bone marrow adiposity and systemic fat accumulation. Kun-Ling Wan Formula (KLW) is a compound Chinese medicine clinically used for gynecological disorders, though its effects on postmenopausal osteoporosis and associated fat accumulation remain unclear. Distinct from previous herbal formulation studies that primarily focused on bone outcomes, our study uniquely integrates bone protection, marrow adiposity reduction, systemic metabolic improvement, and multi-omics mechanistic dissection in a high-fat diet-fed ovariectomized mouse model. Methods: KLW chemical composition was analyzed by UPLC-Q-TOF/MS. Ovariectomized (OVX) C57BL/6J mice fed high-fat or normal diet were treated with KLW at clinically equivalent or double doses, with estrogen and active compounds as controls. Bone microstructure was assessed by micro-CT, bone marrow fat by MRI-PDFF, and metabolism by OGTT, ITT, and metabolic cages. Network pharmacology, proteomics, molecular docking, and dynamics simulations identified core targets. C3H10T1/2 cells were used to assess osteogenic/adipogenic differentiation and mTOR pathway activation. Results: Twelve compounds were identified in KLW. In OVX mice, KLW significantly improved bone mineral density and trabecular microstructure, reduced adiposity and bone marrow fat, and enhanced glucose tolerance and insulin sensitivity. In vitro, KLW promoted osteogenesis and suppressed adipogenesis in C3H10T1/2 cells. Integrative analyses identified mTOR as a central target, with chrysophanol, pyrogallol, and apigenin showing high-affinity binding. KLW inhibited mTOR/S6K phosphorylation during differentiation, an effect reversible by leucine. Conclusions: KLW ameliorates osteoporosis and reduces fat accumulation in OVX mice by shifting mesenchymal stem cell differentiation toward osteogenesis via mTOR pathway modulation. Full article

Background: Long noncoding RNAs (lncRNAs) have emerged as critical regulators of hepatic metabolism and disease progression. The hepatocyte nuclear factor 1 alpha antisense 1 (HNF1A-AS1) lncRNA modulates liver-specific transcription factors; however, its physiological role in diet-dependent lipid homeostasis remains poorly defined. Methods: In this study, we investigated the mouse ortholog, Hnf1a opposite strand 1 (Hnf1aos1), using AAV-mediated knockdown in C57BL/6J mice fed either a chow diet (10% kcal from fat) or a high-fat diet (HFD; 60% kcal from fat) for 12 weeks. Metabolic phenotyping included hepatic lipid quantification, histological analysis, serum biochemistry, and quantitative gene expression profiling. Results: Loss of Hnf1aos1 produced distinct, diet-dependent alterations in hepatic lipid handling. Under chow conditions, knockdown mice exhibited selective hepatic cholesterol accumulation (6.10 ± 2.9 mg/g tissue vs. 3.51 ± 1.1 mg/g in controls), accompanied by dysregulation of cholesterol clearance pathways. In contrast, under HFD conditions, knockdown precipitated severe macrovesicular degeneration, with hepatic triglyceride levels approximately doubled relative to HFD-fed controls (51.72 ± 19.8 mg/g vs. 26.34 ± 11.9 mg/g) and a numerically elevated triglyceride-to-cholesterol ratio (TG:TC ≈ 6.1:1; p = 0.0621, trend). Chow/Kd mice gained significantly less weight than chow-fed controls, whereas HFD/Kd mice exhibited weight gain comparable to HFD controls despite severe hepatic steatosis. This paradoxical phenotype suggests impaired metabolic feedback at the post-transcriptional level, in which compensatory upregulation of Hnf1a mRNA is insufficient to suppress lipid-associated genes such as Cd36, despite profound lipid overload; however, HNF1A protein levels were not directly measured in this study. Conclusion: Collectively, these findings identify Hnf1aos1 as a regulator of hepatic lipid homeostasis whose loss produces a phenotype consistent with inappropriate lipid accumulation during nutrient excess, without defining the underlying molecular mechanism. Our results support a role for Hnf1aos1 in shaping hepatic metabolic plasticity and provide insight into lncRNA-associated MASLD phenotypes. Full article

Background/Objectives: Anabolic resistance is thought to underlie muscle loss in sarcopenia. Here, we investigated the adjuvant role of beta-hydroxy-beta-methylbutyrate (HMB), a leucine metabolite, on the acute muscle anabolic response to oral protein supplementation in older adults. Methods: A total of 24 community-dwelling older adults (68.5 ± 0.6 years; 13 men, 11 women) were randomized in a cross-over double-blind design to 40 g whey protein (Control) or 40 g whey protein with 3 g calcium–HMB (HMB). Subjects received a primed constant infusion of ¹³C₆ phenylalanine to assess muscle protein synthesis (MPS, by tracer incorporation in myofibrils) and muscle protein breakdown (MPB, via arterio-venous dilution) at baseline and post supplementation. Fasted and 3 h fed-state plasma HMB, aminoacidemia, rates of MPS, MPB, limb and muscle blood flow were measured. Results: In all subjects, both interventions displayed significant increases in MPS in response to feeding [fasted to 3 h-fed change (mean ± SEM, standard error of the mean). Males: control, +0.032 ± 0.006%.h⁻¹; HMB, +0.023 ± 0.004%.h⁻¹; females: control, +0.023 ± 0.006%.h⁻¹; HMB, +0.038 ± 0.006%.h⁻¹, p < 0.05]. In older women, the addition of HMB further enhanced the MPS response (fasted to 3 h-fed change, p = 0.0495) and area under the curve (p = 0.0364) versus protein alone. During the late-fed period, MPB significantly decreased in HMB versus control (p = 0.0298), and this was also observed when subjects were separated by sex (p = 0.0012). Conclusions: High-dose protein bolus feeding increased MPS in older adults. Surprisingly, 40 g whey did not maximize the anabolic response in older women, and HMB further increased the MPS feeding response to protein. HMB further suppressed the MPB feeding response over a longer period of time. Further work is needed to understand the apparent sexual dimorphic MPS response to high protein. Full article

Snail mucus is increasingly investigated as a biologically compatible source of multifunctional biomolecules for pharmaceutical and dermatological use. However, the chemical profile and biological activities of mucus from the Moroccan endemic terrestrial snail Otala tingitana remain poorly characterized. In addition, the influence of heliciculture diet on the composition and functional properties of the mucus remains unclear. Here, O. tingitana was reared for 140 days under controlled conditions and fed a basal flour diet or the same diet supplemented with 3% Rosmarinus officinalis, Origanum compactum, or Thymus zygis subsp. zygis. Mucus from wild snails was included for comparison. Mucus samples were chemically profiled by GC–MS and evaluated for antibacterial activity, antioxidant capacity, wound-healing efficacy in mice, and histological anti-inflammatory effects, and evaluated semi-quantitatively based on the degree of inflammatory cell infiltration. GC–MS identified 13 compounds and demonstrated clear diet-dependent shifts in dominant components. All mucus samples exhibited broad-spectrum antibacterial activity against Staphylococcus aureus, Listeria monocytogenes, Escherichia coli, and Salmonella Typhimurium (inhibition zones 10.31–14.30 mm; MIC 120–240 µg/mL), with predominantly bactericidal profiles (MBC/MIC < 4) and significantly enhanced activity in plant-supplemented groups (p < 0.05). Antioxidant performance improved markedly with medicinal-plant supplementation, reaching low IC₅₀ values (best ≈ 1.18 mg/mL) compared with basal-diet mucus. In vivo, topical application accelerated wound closure, achieving complete healing in <21 days, versus 28 days in untreated controls. In addition, histological assessment showed faster resolution of inflammatory cell infiltration in treated groups. Collectively, these findings provide the first integrated evidence that O. tingitana mucus possesses antibacterial, antioxidant, wound-healing, and anti-inflammatory activities, and that heliciculture diet is a practical lever to optimize its bioactive profile. Further studies should prioritize standardized manufacturing, contaminant control, and safety/toxicology assessment before translational development. Full article