Search Results (13,864)

Oxidative stress is a primary driver of sperm deterioration during chilled storage of poultry semen, and identifying effective natural antioxidant supplements for semen extenders is an important practical goal for poultry reproductive management. This study evaluated the protective effects of ginseng extract (Panax ginseng) supplementation on sperm viability, motility, oxidative stress biomarkers, antioxidant defense, and fertility in chilled Leung Hang Kao rooster semen. Pooled semen was diluted in IGGKPh extender supplemented with ginseng extract at 0, 1, 2, 3, or 4 mg/mL and stored at 5 °C for 0, 24, and 48 h. Sperm viability, total motility, progressive motility, malondialdehyde (MDA) concentration, total antioxidant capacity (T-AOC), glutathione peroxidase (GPx) activity, catalase (CAT) activity, and fertility following artificial insemination were evaluated at each time point. All ginseng-supplemented groups showed significantly lower MDA concentrations and higher GPx activity than the unsupplemented control throughout storage. At 48 h, total motility and progressive motility were highest in the 2 and 3 mg/mL groups, while T-AOC was best maintained in the 1 and 2 mg/mL groups. CAT activity did not differ significantly among groups at 48 h (p = 0.2498). Fertility was significantly higher in the 1 and 2 mg/mL groups than in the control after 24 and 48 h of storage, and the alignment between T-AOC and fertility across storage time points indicated that overall antioxidant buffering capacity was a stronger determinant of fertilizing competence than individual enzyme activities or MDA concentration alone. Concentrations of 3–4 mg/mL, despite producing lower MDA at 48 h, did not confer superior fertility outcomes, suggesting a hormetic dose–response relationship. Based on integrated evidence from sperm quality, antioxidant status, and in vivo fertility, ginseng extract supplementation at 1–2 mg/mL is recommended as the most suitable range for preserving chilled Leung Hang Kao rooster semen and may represent a practical natural antioxidant strategy for Thai native poultry breeding programs. Full article

Using the Hierarchical Taxonomy of Psychopathology (HiTOP) as our framework, the current study examines how 13 common psychological disorders can be grouped into different spectra in two groups of adolescents: a community sample (N = 951), and a clinic-referred sample (N = 173). Scores for the disorders were obtained using the parent version of the Child and Adolescent PsychProfiler. Taken together, the findings across the two samples for factor structure, reliability, and discriminant and concurrent validity indicate the most support for a three-factor CFA oblique model with primary factors for neurodevelopment disorders (that include Specific Learning Disorder, Autism Spectrum Disorder, Language Disorder, and Speech Sound Disorder), internalizing disorder problems (that include Generalized Anxiety Disorder, Persistent Depressive Disorder, Separation Anxiety Disorder, Obsessive–Compulsive Disorder, Posttraumatic Stress Disorder, Anorexia Nervosa, and Bulimia Nervosa), and externalizing disorder problems [(that include Attention Deficit/Hyperactivity Disorder (ADHD), and Oppositional Defiant Disorder/Conduct Disorder (ODD/CD)], with a covariance for the error variance for Anorexia Nervosa and Bulimia Nervosa. Additionally, the analysis for Sample 2 supports the concurrent validity of the factors in this model. A modification of this model, with ADHD cross-loading on the neurodevelopment disorders factor, did not produce an admissible solution. The findings indicate support for a neurodevelopmental spectrum in the HiTOP model, with ADHD and ODD/CD showing stronger statistical association with the externalizing factor than with the neurodevelopmental factor in the models tested. This finding pertains to dimensional structure and does not invalidate the neurodevelopmental classification of ADHD in DSM-5-TR. Full article

The discharge of metal-containing effluents into aquatic systems remains a major environmental concern because metal ions can persist in water bodies and accumulate in biological systems, potentially affecting ecosystem and human health. Among these contaminants, Cr(III) is frequently encountered in waste streams generated by industrial activities, making its removal an important objective in water quality management. This study investigated the adsorption behavior of Cr(III) using lignocellulosic biosorbents obtained from tamarind shell (Tamarindus indica) after water, H₂O₂, and HCl pretreatments, with particular emphasis on equilibrium behavior, thermodynamic characteristics, and pretreatment-induced physicochemical modifications. Batch adsorption experiments were conducted to evaluate equilibrium behavior. The highest adsorption capacity (41.6 mg g⁻¹) was obtained with the water-treated biosorbent at 60 °C. The equilibrium data were best represented by the Sips model, suggesting that Cr(III) adsorption occurred on surfaces containing adsorption sites with different energetic characteristics. Thermodynamic analysis revealed that the adsorption process was spontaneous, while the enthalpy changes indicated predominantly endothermic behavior for the pretreated biosorbents. ATR-FTIR, SEM, EDS, and XRD analyses were performed to characterize the biosorbents before and after adsorption. The characterization results indicated that oxygen-containing functional groups, particularly hydroxyl and carbonyl functionalities, were associated with the adsorption process. SEM images showed morphological changes associated with pore occupation, while EDS confirmed chromium adsorption and suggested possible ion-exchange mechanisms. XRD patterns indicated a mainly amorphous structure. The results demonstrated that pretreatment-induced modifications strongly influenced the adsorption performance of tamarind shell. Water pretreatment produced the most favorable adsorption behavior, yielding the highest adsorption capacity among the evaluated biosorbents. The combined interpretation of equilibrium, thermodynamic, and characterization results revealed a close relationship between surface properties and Cr(III) uptake. Full article

Systemic arterial hypertension (SAH) is a multifaceted condition marked by sustained elevations in arterial blood pressure. Its occurrence is closely related to alterations in target organs, such as the liver. Non-pharmacological treatments have been proposed for these effects. Thus, the aim of this study was to investigate the effects of açaí supplementation and resistance training, applied individually or in combination, on blood pressure and liver structural parameters. An experimental, quantitative, and longitudinal study was conducted using young Wistar rats (~60 days old) and spontaneously hypertensive rat (SHR) strains. Fifty rats were divided into five experimental groups: Wistar Control (C), Hypertensive Control (H), Hypertensive Trained (HT), Hypertensive Açaí-Supplemented (HA), and Hypertensive Trained plus Açaí Supplementation (HAT). Each group consisted of ten animals. Subsequently, analyses were performed for the antioxidant capacity and proximate composition of the açaí pulp, systolic blood pressure assessment, and histological evaluation of the liver. The açaí used exhibited high antioxidant capacity. At the end of the experimental period, the trained groups increased their maximal load carried, along with a reduction in systolic blood pressure in all treated groups. Açaí supplementation resulted in lower relative liver mass compared with the H group. The hypertensive condition promoted extracellular matrix expansion and a reduction in hepatocyte proportion. Both interventions attenuated these effects, and the combined treatment (HAT) produced the greatest improvement, indicating an additive response. Hypertension also elevated hepatic glycogen concentration, and the treatments reduced this alteration. It is concluded that açaí supplementation and resistance training could promote positive adaptations in the liver of hypertensive animals. Full article

Background/Objectives: Chronic stress contributes to anxiety disorders and cognitive impairment, while effective multi-target therapeutic strategies remain limited. This study investigated the effects of a standardized extract prepared from the aerial parts of Bacopa monnieri (L.) Wettst. (Brahmi) extract and an anthocyanin-rich mixed Thai berry extract, administered individually and in combination, in a chronic unpredictable mild stress (CUMS) rat model. Methods: Extracts derived from Morus alba L. (mulberry), Antidesma ghaesembilla Gaertn. (mamao), and Syzygium nervosum DC. (ma-kiang) were characterized for anthocyanin and phenolic contents, antioxidant activities, and cyanidin-3-O-glucoside levels using HPLC. Male Sprague Dawley rats were subjected to a 14-day CUMS protocol and treated with Brahmi extract, mixed Thai berry extract, or their combinations. Behavioral assessments included the open-field test, elevated plus maze, and novel object recognition test. Histopathological evaluation of the prefrontal cortex and hippocampus was also performed. Results: Brahmi extract and mixed Thai berry extract attenuated selected anxiety-related behaviors and improved recognition memory-related parameters in CUMS-exposed rats. The low-dose berry extract produced the most consistent behavioral improvements, whereas combination-treated groups showed greater histological preservation. Histopathological analysis revealed reduced neuronal degeneration and improved tissue organization in the prefrontal cortex and hippocampus of treated animals. Conclusions: These findings support the potential therapeutic relevance of Bacopa monnieri and anthocyanin-rich Thai berry extracts under chronic stress conditions, with differential effects observed between individual and combination treatments. Full article

End-to-end motion control of 7-degree-of-freedom (DOF) redundant manipulators under sparse reward signals presents a fundamental challenge in deep reinforcement learning (DRL) for robotics: the vast configuration space and absence of dense gradient information combine to produce severe cold-start failures and high cross-seed training variance. This paper proposes Curriculum-SAC-HER, a novel fusion framework integrating Soft Actor–Critic (SAC), Hindsight Experience Replay (HER), and a performance-driven three-stage Automatic Curriculum Learning (ACL) scheduler, designed to resolve the cold-start exploration bottleneck within a training budget of 300,000 environment interaction steps. The core methodology progressively expands the spatial target distribution across three stages of increasing difficulty, conditioning each stage transition on an 80% rolling success threshold to guarantee kinematic prior consolidation before advancing. A rigorous evaluation across 15 independent training runs (five seeds per group, all retained without filtering) demonstrates that the proposed framework achieves a final mean success rate of 84.8% (std: 11.0%), substantially surpassing the SAC + HER ablation (70.3%, Mann–Whitney U test, p = 0.028) and the DDPG baseline (22.3%, p = 0.008), while compressing cross-seed variance by 67% relative to the ablation. Zero-shot robustness evaluations under simulated domain perturbations further reveal that the learned policy maintains above 92% success across extreme friction variations and sustains 71.8% success under a 1.5× payload increase, demonstrating that the ACL module fosters generalized kinematic representations rather than over-fitting to specific contact mechanics. Full article

To achieve the valorization of municipal solid waste incineration (MSWI) bottom ash and investigate its engineering feasibility as an aggregate replacement in asphalt mixtures, this research adopted MSWI bottom ash in three particle size fractions (2.36–9.5 mm, 9.5–16 mm and 2.36–4.75 mm) to replace basalt aggregate in SBS-modified AC-20 asphalt mixtures. Five dosages of MSWI bottom ash (0%, 7.5%, 15%, 22.5% and 30%) were designed, and high-temperature stability, low-temperature cracking resistance, moisture stability, dynamic modulus and fatigue resistance were tested. The results indicate that the incorporation of MSWI bottom ash causes different degrees of performance degradation. At a dosage of 30%, the dynamic stability of Groups I, II and III decreased by 37.5%, 49.3% and 27.5%, respectively, while the fatigue lives decreased by 48.1%, 60.3% and 31.3%, respectively. The failure strain of Group III at 30% was 2007 microstrain, still slightly higher than the specification limit, whereas Groups I and II dropped to 1825 microstrain and 1575 microstrain. The freeze–thaw splitting tensile strength ratios of Groups I and III at 30% were 81.6% and 84.1%, both meeting the 80% requirement, while Group II decreased to 78.7%. Overall, the 2.36–4.75 mm fraction produced the smallest deterioration, followed by the 2.36–9.5 mm fraction, whereas the 9.5–16 mm fraction showed the most significant reduction. Considering both pavement performance and resource utilization efficiency, MSWI bottom ash is recommended to replace basalt aggregate at dosages not exceeding 30% for the 2.36–4.75 mm fraction and 22.5% for the 2.36–9.5 mm fraction. In addition, the asphalt–aggregate ratio should be adjusted with the slag dosage to compensate for the high absorption of MSWI bottom ash. Full article

The proliferation of cloud-based data outsourcing has intensified the need for efficient semantic retrieval over encrypted data. Existing searchable encryption schemes often face a coupled bottleneck: (i) semantic index can be unstable or overly coarse, yielding loose pruning bounds and high query cost, and (ii) semantic query expansion can easily introduce noise, forcing an unfavorable accuracy–efficiency trade-off. To address these issues, we propose SES-HI, a Semantically Enhanced Searchable Encryption scheme with a stability-oriented hierarchical index for efficient ranked semantic search over encrypted cloud data. SES-HI contains three core innovations. First, it constructs a balanced $\omega$-ary hierarchical index using a two-stage clustering pipeline (Ward → k-means) to produce semantically compact groups and more representative node vectors, enabling tighter pruning bounds. Second, it performs topic-guided query expansion using LDA and applies Word2Vec-based similarity filtering to enrich semantic coverage while suppressing expansion noise. Third, it introduces a dual-pruning strategy that couples a global threshold with top-k competitive pruning to reduce traversal and ranking overhead without sacrificing recall. We formally prove that SES-HI is secure against adaptive chosen-keyword attacks under an explicit leakage profile. Extensive experiments on the TREC dataset demonstrate that SES-HI consistently improves the accuracy–latency trade-off compared with state-of-the-art baselines, supporting practical semantic search for privacy-sensitive cloud applications. Full article

The physicochemical characteristics of hydrochars produced from tobacco stems through hydrothermal carbonization (HTC) at different temperatures were investigated, along with the variation in contents of nicotine, niacin, and chlorogenic acid in both the hydrochars and the liquid phase. The results indicated that dehydration was the predominant reaction during HTC of wet tobacco stems (WTS), leading to a decrease in the H/C and O/C atomic ratios of the hydrochars. As temperature increased, polycondensation and aromatization reactions became more pronounced, which corresponded with a reduction in the intensity of functional group vibrations such as C–N and N–O in FT-IR spectra. XPS analysis revealed a gradual increase in C=O content, whereas the proportions of C–OH and C–O bonds declined from 51.74% and 35.13% to 36.95% and 20.84%, respectively. Furthermore, the content of pyridine-N rose from 31.08% to 41.30%, while pyrrole-N and quaternary-N contents decreased to varying degrees. Both nicotine and niacin levels in the hydrochars and carbonization liquids exhibited an initial increase followed by a decline, whereas chlorogenic acid content consistently decreased. The underlying mechanisms for the observed changes in nicotine, niacin, and chlorogenic acid contents during HTC are discussed in detail. Full article

Lead (Pb) induces oxidative stress, inflammation, and hepatorenal injury. We evaluated whether fenugreek (Trigonella foenum-graecum) seed powder (200 mg/kg) protects against subchronic Pb-acetate exposure in male albino mice. Sixty mice were randomized to six groups (n = 10): control (G1), fenugreek-only (G2), Pb 150 mg/kg (G3), and three co-exposure groups receiving fenugreek with Pb at 50, 100, and 150 mg/kg (G4–G6), gavaged daily for 8 weeks. LC–DAD–ESI–MS/MS of the seed batch tentatively identified 32 metabolites, dominated by flavonoid C-glycosides, luteolin dihydrogalloyl-glucosyl-pentosyl glucoside (15.90%), vicenin-3 (14.46%), vicenin-2 (9.66%), vicenin-1 (8.80%), kaempferol 7-O-rhamnosyl-glucoside (8.71%), with additional acylated phenolic conjugates. Pb exposure (G3) significantly reduced growth and intake, elevated serum ALT, AST, ALP, urea, and creatinine, raised blood Pb, and produced hepatic necrosis, vacuolation, and inflammation. Molecularly, Pb upregulated Nrf2, HO-1, SCD-1, TNF-α, and IL-6 and suppressed SOD-3. Fenugreek co-treatment attenuated all these changes across the three Pb doses, with greatest effect at the lowest Pb load (G4). Notably, fenugreek co-treatment reduced rather than further increased Nrf2 and HO-1 expression relative to Pb alone, a pattern most consistent with lowering the upstream oxidative stimulus rather than direct induction of these pathways. The seed’s polyphenolic profile—rich in vicenin-type C-glycosides and luteolin and kaempferol derivatives—offers a plausible chemical basis for the antioxidant, anti-inflammatory, and modest Pb-lowering effects observed; however, because whole seed powder was administered and metabolite identifications are tentative, these structure–activity relationships are presented as hypotheses for future bioactivity-guided fractionation rather than as demonstrated mechanisms. These preclinical findings support further investigation of fenugreek as a candidate dietary adjunct against environmental Pb exposure, contingent on protein-level validation, pharmacokinetic characterization, benchmarking against a standard chelator, and bioactivity-guided fractionation. Full article

Background: This study assessed the effect of solvent aging on Vickers microhardness (VHN) and fracture toughness (K_IC) of four resin composites: two high-strength flowable materials indicated for all cavity classes (GUF and CBF), a packable nanohybrid composite (XTE), and its flowable counterpart (XTEF). Methods: Disk specimens (n = 6 per group) were photocured and stored at 37 °C in distilled water or in a 75%/25% ethanol/water solution for 1 or 30 days. Vickers microhardness was recorded with a 300 g load applied for 15 s. Single-edge-notched beam (SENB) specimens (32 × 6 × 3 mm; n = 6 per group) were loaded in three-point bending for K_IC determination after 1 and 30 days of storage in water or ethanol/water. Data were analyzed by three-way ANOVA followed by Tukey’s post hoc test (α = 0.05). Results: At 1 day, the four composites separated into distinct VHN groups in the order XTE > GUF > CBF > XTEF (p ≤ 0.05). After 30 d, VHN decreased in all materials, with larger reductions in ethanol/water (17–30% relative to the 1 d water value) than in water alone (5–11%). At 1 day, K_IC values for XTE, GUF and CBF formed a single statistical group, all significantly higher than XTEF (p ≤ 0.05). Thirty-day water storage did not affect K_IC for any material (p > 0.05), whereas ethanol/water storage reduced K_IC by 21–26% in all four composites and produced four distinct material groups (p ≤ 0.05). Conclusions: The high-strength flowable composites showed greater hardness and toughness than a conventional flowable composite but did not match the mechanical performance of the highly filled packable composite. Ethanol/water aging markedly softened the composite surfaces and reduced fracture toughness, whereas prolonged water storage had a smaller effect on hardness and no measurable effect on K_IC. Full article

Objective: Language delay (LD) is a common developmental condition in which children fail to achieve age-appropriate language milestones, affecting communication, cognition, and social integration. It affects approximately 1 in 14 preschool children and may have long-term consequences into adulthood. The period from 12 to 36 months is a critical window for language development, during which children begin to comprehend and produce their first words. Early identification of risk factors during this stage is essential for timely intervention. However, in Vietnam, data on factors associated with language delay in this age group remain limited. Therefore, this study aimed to identify factors associated with language delay in children aged 12–36 months. Methods: A case–control study was conducted, including 55 children with language delay and 55 typically developing children aged 12–36 months. Personal, familial, medical, and environmental data were collected using structured questionnaires. Univariate and multivariable logistic regression analyses were performed to identify factors associated with language delay. Results: A total of 110 children (43 boys and 67 girls) were included. The strongest risk factor was the use of screens to calm or occupy children (OR = 36.6; p < 0.001). Early bilingual exposure was a significant protective factor (OR = 0.12; p = 0.014), while shared reading or picture viewing showed a strong but borderline protective effect (OR = 0.23; p = 0.051). Conclusions: The use of screens to calm or occupy children was the main risk factor for language delay, whereas early bilingual exposure and shared reading or picture viewing were protective factors. These findings highlight the importance of limiting non-interactive screen use and promoting interactive language activities to support early language development. Full article

Pectinases are a group of enzymes widely applied in agri-food processes. This study aimed to isolate and characterize pectinase-producing yeasts and yeast-like fungi from soil and humus samples collected in a Moroccan argan forest, a region characterized by arid to semi-arid climatic conditions, with emphasis on screening and evaluating their pectinolytic activity. Among nine isolated strains, four exhibited detectable pectinolytic activity on pectin agar medium. Two promising isolates were molecularly identified by ITS region sequencing as Coniochaeta pulveracea PX765016 and Coniochaeta ligniaria PX765017. Notably, C. pulveracea PX765016 showed the highest pectinolytic potential, with a pectinolytic degradation index of 4.2 on pectin agar. This strain also exhibited maximal pectinase production after 96 h of submerged fermentation in YEPD medium under optimized conditions of pH 4, 30–35 °C, and 0.5% (w/v) pectin. The crude enzyme obtained under these conditions exhibited a specific activity of 559.90 ± 11.62 U/mg. The enzyme was subsequently subjected to sequential purification comprising ammonium sulfate precipitation, dialysis, and gel filtration chromatography on a Sephadex G-100 column, yielding a 2.99-fold purification with a final recovery of 14%. The purified enzyme exhibited optimal activity at pH 6.0 and 40–55 °C, with a reaction time of 20 min. Kinetic analysis of pectin hydrolysis revealed a Michaelis–Menten constant (Km) of 7.33 mg pectin per mL and a maximum reaction velocity (Vmax) of 1666.7 U/mg. To the best of our knowledge, this is the first report of pectinase production by a member of the genus Coniochaeta, and the first characterization of pectinase activity from C. pulveracea. Full article

Image-based measurement of chopped maize stalk length remains difficult because the fragments are often slender, curved, touching, or partly overlapped. Bounding-box dimensions are therefore not reliable for length estimation, and manual measurement is too slow for repeated quality assessment. In this study, we developed a YOLO11n-based visual framework for measuring chopped maize stalk length under fixed imaging conditions. The dataset contained 1127 images collected on a laboratory platform and covered stalk lengths of 10–150 mm, different moisture states, and isolated, touching, and overlapping arrangements. To obtain more stable regions of interest, the YOLO11n detector was modified with large separable kernel attention (LSKA), a lightweight cross-scale decoupled detection (LSCD) head, and Wise intersection over union version 3 (WIoU v3). The detected stalk regions were then processed by local segmentation, morphological refinement, skeleton extraction, longest-path calculation, and washer-based scale conversion. The modified detector reached 94.8% precision, 90.4% recall, 96.5% mAP@0.5, and 71.1% mAP@0.5:0.95, with a detector inference speed of 174 FPS. In the length-measurement test, the mean relative errors were 5.8%, 8.3%, and 10.4% for the <40 mm, 40–80 mm, and >80 mm groups, respectively. Across all evaluated fragments, the complete pipeline produced an MAE of 6.0 mm, an RMSE of 9.4 mm, and a mean relative error of 8.2%. The framework therefore provides a practical way to measure chopped maize stalk length under controlled imaging conditions, although long, curved, and cluttered fragments still caused most of the remaining errors. Full article

Sweet potato (Ipomoea batatas (L.) Lam.) aerial biomass has potential as an alternative forage resource for ruminants in semi-arid regions; however, the fermentative behavior of different genotypes remains poorly understood. This study evaluated the fermentation profile, nutrient losses, and chemical composition of silages produced from the aerial parts of ten sweet potato accessions cultivated under agroecological conditions. Wilted biomass from each accession was pooled, homogenized, and ensiled in four mini-silos used as subsamples for fermentation characterization. Hierarchical clustering identified two distinct groups, indicating clear genotype-dependent variation in silage performance. Accessions BGH-UNIVASF 8 and 16 showed superior fermentation efficiency, characterized by greater dry matter recovery, lower effluent and gas losses, and more stable fermentation profiles. In contrast, several high-yielding accessions exhibited greater fermentation losses, indicating a trade-off between biomass productivity and preservation efficiency. Total digestible nutrients varied among accessions but were not consistently associated with fermentation quality. Overall, the results demonstrate that silage quality in sweet potato is strongly genotype-dependent and highlight the importance of integrating agronomic, nutritional, and fermentative traits when selecting accessions for silage production under semi-arid conditions. Full article