Search Results (1,657)

The effects of Fe non-stoichiometry on crystal structure, microstructural evolution, and thermoelectric transport properties were systematically investigated in bornite (Cu₅Fe_1+yS₄; −0.06 ≤ y ≤ 0.06) synthesized by mechanical alloying followed by hot pressing. X-ray diffraction analysis confirmed the formation of a single-phase orthorhombic bornite structure over the entire composition range. Anisotropic lattice distortion was observed with increasing Fe non-stoichiometry, manifested as contraction along the a-axis and expansion along the b- and c-axes, with a non-linear dependence on composition. Crystallite sizes estimated from Lorentzian peak fitting increased from 64.1 nm for the stoichiometric composition to 70.6–76.3 nm for Fe-deficient samples and 73.2–90.9 nm for Fe-excess samples. Hall-effect measurements revealed p-type semiconducting behavior for the stoichiometric composition, degenerate p-type transport with increased hole concentration under Fe-deficient conditions, and a transition to n-type behavior with reduced carrier mobility under Fe-excess conditions. While Fe-deficient samples retained high electrical conductivity and positive Seebeck coefficients, Fe-excess samples exhibited negative Seebeck coefficients at low temperatures with sign reversal at elevated temperatures. As a consequence, the power factor of Fe-deficient samples was enhanced by approximately 20–30% relative to the stoichiometric composition. In addition, the total thermal conductivity remained below 0.8 W·m⁻¹·K⁻¹ for all samples, and Fe non-stoichiometry effectively suppressed lattice thermal conductivity. Consequently, the Cu₅Fe_0.94S₄ composition achieved a maximum dimensionless figure of merit of ZT = 0.61 at 673 K, representing a performance enhancement of approximately 30–70% compared with the stoichiometric composition (ZT = 0.36 at 673 K and 0.47 at 723 K). Full article

This paper presents the concept of a 2D m × n waveguide-based power combiner (PC) that is scalable with respect to the operating frequency band and number of input ports. To our knowledge, this work reports the first planar (2D) power combiner, where the input waveguide ports are distributed in two spatial dimensions to form an array, rather than arranged along a single linear (1D) axis as in conventional corporate or cascaded waveguide combiners. The novelty of the approach relies on using H-plane rectangular waveguide T-junctions and low-loss polarization twisters in between vertically stacked T-junctions to facilitate scalability. The work is motivated by the aim to coherently combine the output power of multiple modified uni-traveling carrier (MUTC) terahertz (THz) waveguide photodiodes (PDs) in a 2D array configuration. In the manuscript, the design of a 2 × 2 planar waveguide power combiner for the WR3 band (220–320 GHz) is reported, and it is also shown that this block can be further extended to m × n input ports. Full-wave numerical analysis of the proposed 2 × 2 power combiner shows a return loss of 11 dB at the output port and an average transmission coefficient of about −6.5 dB, i.e., an overall power combining efficiency of ~90%. Furthermore, to enable 2D photodiode array integration, the manuscript presents a new slot-bow tie antenna integrated MUTC photodiode for radiating the optically generated THz power from each PD vertically into the rectangular waveguide. The simulation results of reflection loss and insertion loss for the slot bow-tie antenna are shown to be better than 10 dB and 1.4 dB over the full WR3 band, respectively. To prove scalability of the power combiner concept w.r.t. the number of input ports, a 2 × 4 power combiner is also analyzed. Results reveal a return loss better than 10 dB from 225 to 318 GHz and a transmission coefficient of approximately −9.7 dB at 300 GHz, i.e., a power combining efficiency of ~85%. Full article

Aging is closely associated with oxidative stress, which contributes to functional decline and increased vulnerability to neurodegenerative diseases. Natural antioxidants, such as Chlorella Growth Factor (CGF) and γ-polyglutamic acid (γ-PGA), possess antioxidant and anti-aging properties; however, their combined effects remain unknown. This study investigated the potential synergistic effects of CGF and γ-PGA supplementation in senescence-accelerated mouse-prone 8 (SAMP8) mice, a model characterized by early cognitive decline, locomotor deficits, and elevated oxidative DNA damage. Three-month-old male SAMP8 mice (n = 40) were divided into four groups: control, CGF (49.2 mg/kg BW/day), γ-PGA (20.5 mg/kg BW/day), and combined CGF + γ-PGA (69.7 mg/kg BW/day), and were treated for 13 weeks. Behavioral and physiological assessments included locomotor activity, aging index, and cognitive function (passive and active avoidance tests). Biochemical analysis focused on brain 8-hydroxy-2′-deoxyguanosine (8-OHDG) as a biomarker of oxidative DNA damage. Supplementation with CGF and γ-PGA, particularly in combination, significantly improved locomotor activity, aging scores, and cognitive functions. Notably, the combined treatment yielded the greatest reduction in brain 8-OHDG levels. These findings indicate that CGF and γ-PGA, when administered together, exert enhanced protective effects against functional and molecular aging. In conclusion, long-term supplementation with CGF and γ-PGA protects against aging-related decline in SAMP8 mice. This study highlights the potential of CGF and γ-PGA as safe, natural candidates for the development of functional foods or nutraceuticals aimed at promoting healthy aging and reducing oxidative stress-associated disorders. Full article

This study explored ultrastructural changes and the expression of oxidative stress-related genes and proteins in the laminar tissue of dairy cows with acute laminitis induced by oligofructose (OF) overload. Twelve clinically healthy, non-pregnant Chinese Holstein cows were randomly allocated into two groups: the OF-overload group (n = 6) and the control group (n = 6). 17 g/kg BW of oligofructose (OF) dissolved in 20 mL/kg BW of deionized water was provided to the OF-treated group, while the control group received 20 mL/kg BW of deionized water via a stomach tube. Laminar tissue samples were collected at 72 h post-OF administration. RT-qPCR revealed significantly increased Keap1 mRNA expression (p = 0.0097) and significantly decreased Nrf2 (p < 0.0001), Ho1 (p < 0.0001), and Nqo1 (p = 0.0101) mRNA expression in the OF group compared to the control group. Western blot analysis confirmed corresponding protein-level changes, with significantly increased Keap1 (p = 0.0062) and significantly decreased Nrf2 (p = 0.0008), Ho1 (p = 0.0297), and Nqo1 (p = 0.0004) in the OF group compared with the control group. Immunohistochemical analysis revealed significantly increased cytoplasmic Keap1 distribution (p = 0.0200) and significantly decreased nuclear Nrf2 localization (p = 0.0032) in the OF group than the control group. Ultrastructural examination revealed significant pathological changes in the OF group, including a reduced number of hemidesmosomes (p < 0.01), an increased distance from epidermal basal cells to the lamina densa (p < 0.01), thickened and damaged lamina densa with disorganized collagen fibers, and deformed basal cell nuclei with reduced chromatin relative to the control group. In conclusion, these findings demonstrate that OF-induced acute laminitis is associated with significant dysregulation of the Keap1-Nrf2 antioxidant pathway and severe ultrastructural damage to the dermal–epidermal interface, suggesting that oxidative stress contributes to laminar tissue injury in dairy cows. Full article

Unbalanced supply voltage (USV) represents a critical power quality challenge in industrial environments, significantly degrading the performance, efficiency, and operational lifespan of three-phase induction motors. Accurate real-time estimation of sequence impedances ($Z_a,Z_b,Z_c$) and detection of the Negative Voltage Factor (NVF) are essential for effective condition monitoring and preventive maintenance strategies. While existing machine learning methods have demonstrated promising accuracy, they often rely on manual feature engineering, lack hierarchical representation learning, and treat impedance estimation and fault detection as isolated tasks. This paper proposes a unified Deep Multi-Task Learning framework that leverages Residual Multilayer Perceptron (ResMLP) architectures for feature-based learning and Temporal Convolutional Networks (TCNs) for end-to-end raw signal learning. Our contributions include: (1) introduction of a Multi-Head ResMLP architecture that jointly optimizes phase impedance and fault detection, achieving superior NVF accuracy (MAE = 0.0007) and a fault detection F1-score of 0.8831; (2) investigation of raw-voltage TCN models for voltage-only diagnostics, with analysis of the trade-offs between end-to-end learning and feature-based approaches; (3) extensive ablation studies demonstrating the impact of network depth, data augmentation, and training protocols on model generalization; and (4) deployment of PyTorch (v2.0.1)-based models suitable for embedded systems with real-time inference capabilities (2.3 ms per prediction). Experimental validation on a 1.1 kW three-phase motor dataset under diverse load conditions (0–10 Nm) and USV magnitudes (5–15 V) confirms the robustness and practical applicability of the proposed approach for industrial fault diagnosis and condition monitoring systems. Full article

Background/Objectives: Metabolic dysfunction-associated steatohepatitis (MASLD) represents a prevalent liver disease worldwide. It is crucial to maintain the stability of the gut–liver axis in order to inhibit the advancement of MASLD. Broccoli-derived exosome-like nanoparticles (BDENs) can alleviate constipation and improve colitis. This study investigated whether BDENs possess therapeutic potential for improving induced MASLD by the gut–liver axis. Methods: BDENs were fractionated from fresh broccoli using differential centrifugation, and the microRNAs were identified and analyzed. 24 male C57BL/6J mice (6 weeks old) were randomized into the control group, HFD group, and BDENs group, with 8 mice per group. After 8 weeks of high-fat diet modeling, the BDENs group accepted BDENs daily oral gavage of 100 mg/kg (B.W.), while the control and HFD groups accepted 1 × PBS. Four weeks after BDENs intervention, analysis was conducted on liver injury markers, liver tissue pathology, intestinal barrier, cecal content metabolomics and fecal 16S rRNA, serum inflammatory factors, and hepatic inflammation. Results: BDENs identified 1659 miRNAs associated with physiological processes such as immunity, antioxidant defense, and fatty acid biosynthesis. BDENs significantly reduced weight and ALT/AST ratio (p < 0.05). Furthermore, BDENs attenuated hepatic histopathological damage and lipid accumulation. For the gut–liver axis, BDENs maintained intestinal barrier, regulated intestinal bile acid metabolism and restored the gut microbiota. Additionally, BDENs reduced serum LPS level (p < 0.01) and suppressed hepatic inflammation, including F4/80 and IL-6, IL-1β (p < 0.0001). Conclusions: Oral BDENs therapy demonstrates potential for ameliorating MASLD. Full article

Glasses with compositions (52.5 − x/2)B₂O₃:(12.5 − x/2)SiO₂:25La₂O₃:5ZnO:5CaO:0.5Eu₂O₃:xWO₃, x = 0, 2.5, 5, 7.5, 10, 20 (mol%) were prepared by conventional melt-quenching method and investigated by X-ray diffraction analysis, DSC analysis, DR-UV-Vis spectroscopy and photoluminescence spectroscopy. Physical parameters like density, molar volume, oxygen molar volume and oxygen packing density were also determined. Their values, as well as DR-UV-Vis spectroscopy results, indicate that the tungstate ions incorporate into the base borosilicate glass as tetrahedral WO₄ and octahedral WO₆ groups. With increasing WO₃ content over 5 mol%, WO₆ units are progressively linked to each other by W-O-W bonds, leading to the formation of a more connected and homogeneous glass network. Glasses are characterized by a high glass transition temperature (over 650 °C) and good thermal stability. The emission intensity of the Eu³⁺ ion increases with the introduction of WO₃ due to the occurrence of non-radiative energy transfer from the tungstate groups to the active ion. The most intense luminescence peak observed at 612 nm suggests that the glasses are potential materials for red emission. Full article

Background: Melanoma is one of the most dangerous types of skin cancer, with its global incidence having surged in recent years. There exists an urgent clinical need for novel therapeutic strategies that combine high efficacy, low toxicity, and multiple mechanisms of action. Methods: This study applies a “Property Optimization and Therapeutic Synergy” strategy, selecting the natural active polysaccharide component, Cordyceps polysaccharides (WCP), as a functional carrier to encapsulate the broad-spectrum chemotherapeutic agent, 10-Hydroxycamptothecin (10HCPT, HCPT). Leveraging non-covalent interactions between the two components, a self-assembly nanoscale drug delivery system (H-W NPs) with high stability and dual antitumor activity was constructed to achieve more efficient and precise antitumor effects. Results: The H-W NPs demonstrated outstanding antitumor efficacy both in vitro and in vivo. The H-W NPs achieved a threefold increase in the inhibition rate against B16-F10 cells compared to free HCPT in vitro and demonstrated a remarkable tumor inhibition rate of 95.08% in vivo. The therapeutic effect may be attributed to the dual antitumor mechanisms of the H-W NPs. Mechanistic studies revealed a synergistic dual-mode of action driving this potent efficacy. Firstly, H-W NPs efficiently induced caspase-3-mediated apoptosis in tumor cells. RNA sequencing analysis suggested the involvement of pathways related to cell cycle arrest and apoptosis. Additionally, H-W NPs promoted the expansion and activation of CD8⁺ T cells in the spleen. These activated cytotoxic T cells reinforced the apoptotic cascade, effectively amplifying the caspase-3-mediated death signal. Conclusions: In summary, the self-assembly nanoscale drug system achieved potent antitumor efficacy through the synergistic action of direct tumor cell killing and immune modulation, offering a highly promising strategy for the development of novel formulations against melanoma. Full article

Background/Objective: This study addresses a significant knowledge gap in the literature concerning antibiotic resistance genes (ARGs) in arid soils by employing metagenomic approaches to characterise their diversity, using Kuwait as a model environment. Methods: Soil samples were collected from two agriculturally managed sites (K1 and K3) and one coastal unmanaged site (K2), representing distinct ecological conditions. Results: Taxonomic profiling revealed notable variation in microbial communities at both the phylum and genus levels. Alpha diversity analyses based on the Chao1 and Shannon indices indicated that agricultural soils exhibited greater microbial richness and diversity than the coastal soil. Beta diversity analysis further demonstrated substantial differences in microbial community composition among the sites. Consistent with previous soil microbiome studies, ARGs such as tetA, aac(3)-Ib, sul1, qep, muxB, mexW, mexB, and macB were detected across the sites. However, the identification of distinct clinically relevant resistance genes, including ugd, blaOXA-18, blaCMY-19, blaMOX-7, blaFOX-7, blaLRA-12, and novA, suggests the influence of site-specific or extreme selective pressures. Conclusions: Several of the detected ARGs appear to be rare or previously unreported in soil environments. Although the sample size is too small to support broad generalisations, the detection of ugd in soil is particularly noteworthy, suggesting that soils may serve as reservoirs of polymyxin resistance, potentially undermining the effectiveness of polymyxin antibiotics. Full article

This paper presents the design and analysis of solar systems for agricultural applications and the sustainable energy supply of villages, based on a case study of a rural settlement comprising 30 households. The village energy demand is quantified through a detailed assessment of hourly load profiles for daytime and nighttime operation, identifying peak loads and total daily energy consumption. Energy usage patterns are established for residential buildings, agricultural water pumping, public lighting, healthcare facilities, and commercial services. To meet these energy requirements sustainably, a 60 kW photovoltaic (PV) system is proposed in combination with a solar thermal water heating system designed to supply domestic and agricultural hot water. This study details the design methodology and simulation of the solar thermal system, including heat transfer modeling and system dimensioning. MATLAB (V.22b) simulations are conducted to evaluate system performance, covering PV energy generation, battery charge–discharge cycles, and thermal behavior over a 24 h period. Comparative analyses of standalone PV, hybrid PV/T, and combined PV and solar thermal configurations demonstrate that separate PV and thermal systems provide superior cost-effectiveness, operational reliability, and reduced maintenance requirements. The results confirm the technical feasibility, economic viability, and environmental benefits of solar-based solutions for rural electrification and agricultural applications. The results indicate that the analyzed rural settlement has an estimated daily electricity demand of approximately 590 kWh. Based on this demand, a 60 kW photovoltaic system was selected to ensure sufficient daytime electricity production while also allowing battery charging for nighttime consumption. In addition, the solar thermal system can increase the water temperature from approximately 10 °C to 55–80 °C, depending on solar irradiance conditions. The combined PV and solar thermal configuration demonstrates the potential to provide a reliable and sustainable energy solution for rural off-grid communities. Full article

This study evaluated the technological and sensory effects of incorporating oyster mushroom (Pleurotus ostreatus) powder and sylvinite as strategies to reduce salt content in beef patties while maintaining product quality. A 4 × 4 full factorial design was implemented to develop sixteen distinct formulations, evaluating the interaction between four levels of mushroom powder (0, 3, 5, and 10% w/w) as a partial meat replacer and four levels of sylvinite (0, 0.5, 1, and 2% w/w) as a NaCl substitute. To establish a baseline for comparison, control samples were prepared without sylvinite, with a fixed concentration of 1% NaCl. Patties were produced with low-fat content (6%), formed into 100 g portions, and evaluated in raw and cooked states. Physicochemical analyses included color (CIE L*, a*, b*), cooking yield, shrinkage, and texture profile analysis, while sensory quality was assessed by an expert panel and complemented with consumer discriminative tests, specifically a triangle test. Multivariate analysis revealed that mushroom powder significantly influenced color parameters, increasing redness and yellowness, whereas sylvinite tended to reduce color intensity; however, their interaction mitigated these effects at intermediate inclusion levels. Mushroom incorporation improved cooking yield and reduced hardness, particularly at 3–5% inclusion, enhancing elasticity and cohesiveness. Sensory results indicated that formulations containing 3–5% mushroom powder and up to 2% sylvinite achieved high overall acceptability. Consumer tests confirmed that these formulations effectively modulated saltiness and texture perception. Overall, the combined use of oyster mushroom powder and sylvinite represents a viable approach for developing reduced-sodium beef patties with acceptable technological and sensory properties. Full article

Gut disorders are largely caused by iron-induced microbial dysbiosis. Excess iron disrupts barrier integrity by inducing oxidative stress, leading to impaired cellular processes. The determination of therapeutic compounds that can reduce iron-induced damage and maintain gut cellular integrity is still a top objective. Dimercaprol (DP) represents a novel iron-chelating strategy for the treatment of iron-induced gut disorders. A chronic iron-overload model was established in mice via intragastric gavage of ferric citrate (FC) (286 mg/kg BW) for 16 weeks. Similarly, IPEC-J2 cells were exposed to FC (50 µmol/L) for 24 h. DP was used as a mechanistic probe to elucidate the pathways involved in iron-induced toxicity. Cells were transfected with or without NRF2 siRNA and exposed to DP post-FC. Colonic contents were assessed via metagenomics and metabolomics. Both in vivo and in vitro experiments were analyzed through a multifaceted analysis, Western blot, RT-qPCR, ELISA, transmission electron microscopy and immunofluorescence assays. Thiols in DP protect gut cells from damage by boosting their natural antioxidant defenses via the NRF2/HO-1 pathway. The DP mechanism of action is multifaceted, including enhancement of barrier integrity, protecting mitochondrial structure and function, suppression of inflammation and endoplasmic reticulum (ER) stress and restoration of gut microbial and metabolic homeostasis. These protective effects are mainly caused by the activation of the NRF2/HO-1 pathway, which makes DP a potential therapeutic agent for disorders caused by chronic gut injury induced by FC. DP provides strong protection against iron-induced gut damage by restoring organelle crosstalk, redox homeostasis and microbial–metabolic balance through NRF2/HO-1 signaling. Full article

Paeonia delavayi displays exceptionally diverse flower colors. This study established a quantitative classification system for these colors and analyzed the relationships among pigment composition, content, and geographical distribution, providing a scientific basis for genetic diversity conservation and ornamental peony breeding. Petals from 465 plants across 30 wild populations and nurseries in central and northwestern Yunnan, China, were analyzed. Color values were quantified using CIE-Lab and Munsell color systems, while pigment content was determined using HPLC and spectrophotometry. Correlations between color values, pigments, and environmental factors were examined. The results were as follows: (1) Flower colors were classified into nine color series, each with distinct boundaries in the color value space: white (W), yellow (Y), yellow-green (YG), orange (O), orange-brown (OB), pink (P), red (R), purple-red (PR), and dark purple (DP). (2) Color values showed wide variation (a*: −23.10–65.54; b*: −4.11–94.26), indicating high diversity. (3) Yellow-category petals had high b* values (24.91–94.26), correlated with carotenoid, chlorophyll, and flavonoid content, and lacked anthocyanins. The lightness value (L*) of red-category petals was correlated with total flavonoid (TF) and total anthocyanin (ACN) content. (4) Correlation analysis showed that the formation of dark-flower colors (DP, PR, R) was significantly and positively correlated with high altitude, high soil organic carbon (SOC), and high soil total nitrogen (STN) content. The distribution of yellow-series flower colors (Y, YG) was correlated with lower altitude and weaker UV radiation, while increasing mean annual temperature (MAT) limited their distribution. (5) Analysis incorporating environmental factors showed that high-altitude areas in northwestern Yunnan, such as Shangri-La and Lijiang, had the richest flower color diversity, whereas central Yunnan’s low-altitude areas were dominated by yellow flower colors. This study indicates that the high-altitude areas of northwestern Yunnan represent the region with the richest flower color diversity in P. delavayi, and are important for the conservation of its flower color genetic diversity and as a source of genetic diversity in flower color in ornamental cultivar breeding. Full article

This study proposes Optimized Skewness and Kurtosis Transformation (OSKT), a novel moment-targeting normality transformation that corrects asymmetry and peakedness in non-normal data. OSKT employs a transformation function derived from the Tukey g–h distribution, incorporating skewness and kurtosis parameters, and is optimized by minimizing a single objective function based on the Anderson–Darling test statistic. The optimization process uses L-BFGS-B to tune the transformation parameters to find the best fit for the standard normal distribution. OSKT ensures a balance between symmetry and tail behavior by minimizing deviations from theoretical normality. It has highly competitive performance compared to the alternative, Box–Cox, Yeo–Johnson transformations, including their robust variants and moment-matching Lambert W method, for normalizing complex distributions. According to our analysis, OSKT also achieves superior normalization for highly non-Gaussian data, successfully transforming highly resistant distributions, including approximately symmetric bimodal datasets, where other methods fail. Full article

Growing interest in natural therapies has increased the demand for essential oils; however, the complex interactions within their mixtures that dictate their final efficacy remain poorly understood. This study aimed to optimize a blend of ginger, cinnamon, tea tree, and geranium essential oils to develop an active ingredient, with synergistic multifunctional bioactivities, that was relevant to cutaneous healing. Initially, the composition and cytotoxicity for individual oils were determined; subsequently, a D-optimal mixture design was employed to evaluate three biological responses related to skin recovery: ultraviolet B radiation absorption, red blood cell lysis inhibition, and catalase enzyme activity. GC-FID analysis revealed the following major components (% w/w): cinnamon (cinnamaldehyde, 77.56%), ginger (α-zingiberene, 33.77%), geranium (citronellol, 33.6%), and tea tree (terpinen-4-ol, 38.38%). Dose–response data from essential oils tested against Detroit ATCC 551 skin fibroblasts revealed a clear cytotoxic hierarchy (IC₅₀ µg/mL): cinnamon (21.03) > ginger (25.3) > tea tree (41.67) > geranium (92.51). Cinnamaldehyde content was the primary contributor to photoprotective capacity, with a maximum sun protection factor (SPF) of 4.5. Inhibition against erythrocyte membrane lysis was not attributable to a single component; maximum protection (98.4%) was achieved through synergy between oxygenated monoterpenoids (geranium and tea tree), sesquiterpenes (ginger), and aromatic aldehydes (cinnamon). Highest catalase activity (160.86 kU/g Hb) was reached in mixtures with high cinnamaldehyde and eugenol contents, whereas an antagonistic effect was observed between tea tree and geranium oils. Finally, an optimal formulation (desirability = 0.927) was identified (% w/w): 31.7% ginger, 39.1% cinnamon, 14.5% tea tree, and 14.7% geranium. Experimental validation confirmed no significant difference compared with developed predictive models. This optimized mixture constitutes a bioactive natural component with potential for use in products aimed at promoting skin health, warranting further investigation into direct models of skin healing. Full article