Search Results (7,569)

Accurate programming of sagittal condylar inclination (SCI) and Bennett angle (BA) is important for prosthodontic treatment, yet evidence directly comparing conventional and digital recording approaches remains limited. This single-participant pilot feasibility study compared SCI and BA obtained using a digital jaw motion tracking system, a conventional facebow transfer method, and a cone-beam computed tomography (CBCT)-based registration method. Ten repeated datasets were generated for each method from one healthy adult participant. The digital system recorded mandibular motion using optical tracking and automatically calculated SCI and BA in a virtual articulator. The conventional method used a mechanical facebow and check-bite records, whereas the CBCT-based method combined one centric-relation CBCT scan with repeated protrusive and lateral interocclusal records after digital alignment. Significant differences were observed for left SCI (p = 0.036), left BA (p = 0.049), and right BA (p < 0.001), whereas right SCI was not significantly different (p = 0.197). The digital method showed the lowest standard deviations across all variables and lower coefficients of variation for left SCI, right SCI, and left BA. Within the limitations of this single-participant pilot study, digital jaw motion tracking demonstrated favorable repeatability and clinically comparable measurements, supporting its potential utility in digitally integrated prosthodontic workflows. Full article

LL-37, a 37-amino acid human-derived antimicrobial peptide, was shown in our earlier clinical study to shorten the negative conversion time of the Omicron BA.5.1.3 variant of SARS-CoV-2. In this work, we investigated the broad mechanism of LL-37 by examining its inhibitory effect on non-enveloped virus Enterovirus 71 (EV71). LL-37 treatment dose-dependently reduced EV71 viral RNA abundance, suppressed virus-encoded protein expression, and decreased infectious titers, acting predominantly at a post-entry stage of the viral life cycle. Transcriptomic analysis revealed that the SH3 and cysteine-rich domain protein (Stac) was uniquely upregulated by LL-37 irrespective of EV71 infection. Short hairpin RNA (shRNA)-mediated Stac silencing significantly enhanced EV71 infection, while Stac overexpression markedly reduced it. Furthermore, we found that LL-37 activates the EGFR–ERK signaling pathway, leading to time-dependent upregulation of Stac expression. These findings uncover a novel host-directed mechanism by which LL-37 combats EV71 infection and suggests a potential therapeutic use of LL-37 against non-enveloped viral disease. Full article

The Sparrow Search Algorithm (SSA) is a novel optimization method inspired by sparrows’ foraging and anti-predator behavior. It mimics their exploration and exploitation strategies to find near-optimal solutions for various optimization problems. This paper presents the first application of SSA to the widely recognized Permutation Flowshop Scheduling Problem (PFSP) with the makespan criterion as the optimization target. Our study aims to assess the effectiveness and robustness of this cutting-edge metaheuristic through computational experiments and statistical analysis. The proposed SSA is a hybrid variant that incorporates the Variable Neighborhood Search (VNS) algorithm along with a Path Relinking Strategy. The effectiveness of the proposed method is evaluated through computational experiments on PFSP benchmark instances. The performance of the hybrid SSA is compared against several well-established swarm-intelligence metaheuristics, namely Grey Wolf Optimizer (GWO), Whale Optimization Algorithm (WOA), Tuna Swarm Optimization Algorithm (TSO), Particle Swarm Optimization Algorithm (PSO), Firefly Algorithm (FA), Bat Algorithm (BA), and the Artificial Bee Colony (ABC). To ensure fair comparison, all methods are implemented within the same computational framework as the hybrid SSA. The experimental results show that the proposed hybrid SSA achieves the lowest average mean error compared with the competing methods in solving the PFSP. The results were further validated through a comprehensive non-parametric statistical analysis using Friedman, Aligned Friedman, and Quade tests, followed by post-hoc analysis with p-adjusted values, as well as Kruskal–Wallis and Wilcoxon post-hoc tests. Full article

Exposure to road traffic noise is an increasing public health concern in developing countries. However, limited research has explored its effect on children’s cognitive function in contexts with common lifestyles and socioeconomic conditions in these countries. This study aims to evaluate the association between residential outdoor traffic noise exposure in Sincelejo, Colombia, the multidimensional poverty index (MPI) and the effects on cognitive functions in children with a cross-sectional deisgn. Noise levels were estimated using the CNOSSOS model and spatially linked to selective attention and working memory of children, assessed with standardized cognitive tests. Associations were estimated with logistic regression models adjusted for sociodemographic and school characteristics and stratified by MPI. Sensitivity analyses were conducted to evaluate the consistency of the associations. The results indicated a statistically significant yet weak association between a 1 dBA increase in noise levels and reduced processing speed (≤95) in selective attention tasks, particularly in the area with the highest prevalence of MPI < 50. However, sensitivity analyses did not corroborate these findings, and the observed association should therefore be interpreted with caution as exploratory and hypothesis generating. Full article

Garlic (Allium sativum L.) is an important vegetable with high nutritional and medicinal value. Its reliance on asexual reproduction causes variety degradation and low propagation efficiency, severely limiting the garlic industry. This study established an efficient shoot organogenesis system for the garlic cultivar Gailiangsuan through optimizing tissue culture protocols. Various explants, media, and hormone combinations were tested to determine the optimal conditions for improving in vitro propagation efficiency. The results demonstrated that for garlic inflorescence explants, immature inflorescences protruding 0–5 cm from the leaf sheath or not protruding were the optimal explants, exhibiting the highest shoot number. The Gamborg B5 (B₅) medium supplemented with a hormone combination of zeatin (ZT) 2 mg/L + indole-3-acetic acid (IAA) 0.05–0.2 mg/L at the first stage and ZT 0.2 mg/L + IAA 0.05 mg/L at the second stage was the most effective for improving in vitro propagation efficiency. For in vitro stem disc culture, the B₅ medium containing 6-benzylaminopurine (6–BA) 2 mg/L + 1-naphthaleneacetic acid (NAA) 0.2 mg/L was optimal. Moreover, a sucrose concentration of 7% was identified as optimal for microbulb development, resulting in significantly larger microbulbs than those grown in a medium with 3% sucrose. These results provide a technical basis for large-scale production of high-quality garlic seedlings. Full article

Glass artworks represent a significant component of cultural heritage, yet their surfaces are highly vulnerable to physicochemical weathering resulting from composition-dependent interactions with environmental factors. Understanding the complex and nonlinear relationships between glass composition and deterioration remains challenging using conventional, often invasive, analytical techniques. To address this issue, this study proposes an interpretable and non-destructive computational framework to analyze weathering patterns in historical glass based on oxide composition data. The framework combines statistical hypothesis testing (Chi-squared analysis), metric-based machine learning (Prototypical Networks), probabilistic modeling (Gaussian Mixture Models), multivariate statistical analysis (orthogonal partial least squares discriminant analysis), and information-theoretic methods (mutual information analysis) to identify key compositional features and inter-elemental relationships associated with surface degradation. The results show that lead-barium glass exhibits a higher susceptibility to weathering compared with high-potassium glass, with PbO, BaO, and SiO₂ identified as the most discriminative components. The Prototypical Network achieved 100% accuracy on most specific data partitions within the analyzed dataset, demonstrating its effectiveness in small-sample compositional classification. Meanwhile, mutual information network analysis revealed the complex interrelationships among chemical components involved in surface weathering behavior. These findings indicate that interpretable machine learning and statistical modeling can provide meaningful insights into composition-dependent patterns and support reproducible analysis for the sustainable conservation of cultural heritage glass. Full article

The walnut cultivar ‘Yunxin No. 14’ is an early fruiting, high-yielding, and widely adaptable fruit tree with compact growth and superior nuts. Establishing a successful tissue culture system for this cultivar is crucial for its rapid clonal propagation and as a foundation for future genetic transformation. Using young fruits as explants, 3% NaClO sterilization for 20 min effectively controlled contamination and browning. Somatic embryos induced from zygotic embryos cultured on DKW medium with 30 g·L⁻¹ sucrose showed high proliferation and minimal browning. After a 4-day dehydration treatment using saturated NH₄NO₃, mature somatic embryos germinated rapidly on differentiation medium (DKW containing 1 mg·L⁻¹ 6-BA and 0.1 mg·L⁻¹ IBA), reaching 90.0% germination. Optimal shoot multiplication was achieved on DKW medium supplemented with 2 mg·L⁻¹ 6-BA and 0.3 mg·L⁻¹ IBA, yielding a proliferation rate of 91.1% and a proliferation index of 3.1. For rooting, shoots (~3 cm) treated with Clonex^® rooting gel were transferred to a low-cost, sugar-free vermiculite medium with gaseous CO₂ as the sole carbon source. Root initiation occurred within two weeks at a rate of 54.2%, significantly shortening the rooting phase. Rooted plantlets were acclimatized in a peat:perlite:vermiculite (2:2:1, v/v/v) mixture under high humidity for two weeks before outdoor transfer, achieving an 88.6% survival rate. This study provides a reliable protocol for the micropropagation of ‘Yunxin No. 14’ and a valuable reference for other difficult-to-root woody species. Full article

Polycyclic aromatic hydrocarbons (PAHs)-contaminated soils are often concomitantly polluted with heavy metals, which form combined contamination through cation–π interactions and other mechanisms. However, the mechanism by which bacteria degrade PAHs under combined pollution conditions remains insufficiently studied. In this study, a benzo[a]pyrene (BaP)-degrading bacterial strain, Rhodococcus sp. PDS1, was isolated from the co-contaminated soil of an abandoned coking plant in a steel factory. This strain can not only detoxify arsenic via reductive transformation, but also mediate extracellular arsenic oxidation and efficiently degrade BaP, a high-molecular-weight (HMW) polycyclic aromatic hydrocarbon with low bioavailability and high toxicity. Response surface methodology (RSM) experiments were conducted to optimize the degrading conditions of strain PDS1, considering four factors: pH, temperature, BaP concentration, and trivalent arsenic As(III) concentration. The results showed that the BaP removal by PDS1 would reach 93.59% under the RSM-obtained optimal conditions: pH 7.7, BaP concentration 8.96 mg/L, As(III) concentration 0.82 mM, and culture temperature 36.0 °C. The transcriptome of the strain under the combined stress of arsenic and BaP was further analyzed. The results indicated that the introduction of arsenic induced the upregulated expression of different genes in the arsenic detoxification ars operon and the pcaH/G gene (encoding protocatechuate 3,4-dioxygenase, a key enzyme in BaP degradation) to varying degrees. These findings clarify the mechanism of the degradation of HMW-PAHs such as BaP by strain PDS1 under PAHs–arsenic combined pollution, lay a solid theoretical foundation for subsequent practical applications, and demonstrate the broad prospects of strain PDS1 in the remediation of actual complex contaminated soils. Full article

Background/Objectives: Infant regulatory problems (RPs) are at risk of persisting and can contribute to later behavioral difficulties. Parenting stress has been identified as a risk factor associated with child RPs, but its mediating role has rarely been investigated in this context. The aim of the study was (1) to investigate whether RP symptoms were related to subsequent infant RP symptoms/toddler behavioral and emotional problems (BEPs) between two pediatric check-ups in the first 3 years of life and (2) to investigate the potential role of parenting stress as a partial mediator in the association of infant RPs and subsequent RPs/BEPs. Methods: Using data from a German cohort study (CoronaBaBY), associations between infant RPs at baseline and RPs/toddlers BEPs at follow-up (around 8 months later) were analyzed. Parenting stress was included as a mediation variable into the model. Results: In total, 725 parent–child dyads were analyzed. Mean infant age was 5.0 months (SD = 3.4). Elevated RP symptoms at baseline significantly predicted infant RP symptoms and BEPs at follow-up. Parenting stress at baseline significantly predicted feeding problems and BEPs at follow-up. Parenting stress partially mediated the associations between baseline infant RPs and follow-up RPs respectively BEPs in most models. Conclusions: Interventions should consider the partially mediating role of parenting stress, especially for the later development of BEPs. Research should aim to identify additional factors influencing infant regulatory problems and subsequent behavioral difficulties. Full article

The Landslide susceptibility assessment in complex mountainous terrain is frequently limited by static modelling frameworks that inadequately capture nonlinear deformation characteristics and temporally evolving hazard processes. To bridge this gap, a continuous-time dynamic assessment framework is proposed for Shazhou Town, Sichuan Province, integrating slowly moving scatterogram interferometric radar (S(BAS-InSAR))-derived deformation time series with Liquid Neural Networks (LNN). By incorporating a liquid time-constant architecture, the model accommodates irregular temporal sampling and captures non-stationary environmental responses through adaptive multimodal feature fusion. Analysis of long-term SBAS-InSAR observations (January 2021–May 2025) reveals distinctive deformation patterns, identifying eight active zones with maximum annual displacement rates of 107 mm yr⁻¹ and cumulative subsidence of 535.7 mm, which serve as critical dynamic inputs for the susceptibility model. Comparative experiments demonstrate that the LNN framework outperforms benchmark models (including LSTM, GRU, Random Forest, and SVM), achieving a coefficient of determination (R²) of 0.95 and an RMSE of 0.50. Furthermore, multi-temporal validation against 189 historical landslide records (2008–2025) confirms the model’s robustness, yielding a 91.5% capture rate within high-susceptibility zones. Interpretability analyses via SHAP and Layer-wise relevance propagation identify rainfall and vegetation cover as dominant dynamic controls, while characterising a distinct slope threshold effect at approximately 20°. These findings demonstrate that explicit continuous-time neural modelling enables physically consistent representation of irregular satellite acquisition intervals and delayed hydro-mechanical responses, thereby advancing landslide susceptibility assessment from static spatial classification toward dynamic state evolution inference under asynchronous Earth observation data streams. Full article

This study aimed to investigate the effects of different aerobic exposure durations on mycotoxin accumulation, nutritional quality changes, and microbial community dynamics of corncob silage. The experiment was divided into four groups: T0 (corncob silage fermented for 45 days without aerobic exposure), T4 (corncob silage exposed to air for 4 days), T8 (corncob silage exposed to air for 8 days), and T12 (corncob silage exposed to air for 12 days). The results showed that after aerobic exposure, the contents of dry matter (DM), crude protein (CP), water-soluble carbohydrates (WSC), Crude Ash, lactic acid (LA), and ammonia nitrogen (NH₃-N) in all exposed groups (T4, T8, T12) were significantly lower than those in the T0 group, whereas the contents of neutral detergent fiber (NDF), acid detergent fiber (ADF), propionic acid (PA), and butyric acid (BA) were significantly higher than those in the T0 group. Exposure to aerobic conditions for 12 days resulted in the four mycotoxins exhibiting levels significantly higher than those in the other groups, and notably, zearalenone (ZEN) and ochratoxin (OT) exhibited a continuous increase in concentration with the extension of aerobic exposure. Aerobic exposure increased bacterial diversity and fungal relative abundance, and significant separations were observed in both bacterial and fungal communities between the T0 group and the aerobic exposure groups. At the phylum level, Firmicutes was the dominant bacterial phylum in the T0 group, while Pseudomonadota became the dominant phylum after aerobic exposure. At the genus level, Lacticaseibacillus was the dominant bacterial genus in the T0 group, whereas Variovorax, Vibrionimonas, and Mycobacterium dominated the bacterial communities in the aerobic exposure groups. The relative abundance of the fungal phylum Ascomycota increased from 30% in the T0 group to 80~90% in the aerobic exposure groups; the dominant fungal genera shifted from Zygosaccharomyces to Albifimbria and Pichia. In conclusion, prolonged aerobic exposure elevates the concentrations of mycotoxins in corncob silage, reduces the nutritional quality, and induces significant shifts in both bacterial and fungal community compositions. Full article

The reconstruction of detrital flux, paleoclimate, paleosalinity, paleo-primary productivity, paleohydrodynamic conditions, and paleo-water depth enhances understanding of sedimentary processes and their drivers during deep-time greenhouse-icehouse transitions, such as the Eocene–Oligocene transition. This study uses detailed geochemical analyses of major oxides and trace elements in sediment samples collected from the Beni Suef Formation (Bartonian–Priabonian) and the Maadi Formation (Priabonian) in the southern Tethys shelf (Egypt, northeastern Desert). Detrital proxies, including Si/Al, Ti/Al, and Zr/Al, indicate an enhanced influx of terrigenous sediments in the middle portion of the Qurn Member of the Beni Suef Formation, as further supported by noticeable facies variations, particularly the transition from shale to coarser silt- and sand-sized fractions. Paleoclimate indicators (Sr/Ba, Rb/Sr, K₂O/Al₂O₃, and Sr/Cu) point to a climatic shift from humid to arid conditions, consistent with the regional Late Eocene aridification across the Tethyan realm. Paleosalinity proxies (Sr/Ba, Ca/Al, and Mg/Al×100) suggest episodic intensification of open-marine influence and a reduction in freshwater input, with an upsection increase in Sr/Ba ratios, reflecting phases of enhanced marine water settings or decreased terrestrial runoff. Primary productivity was evaluated using multiple geochemical proxies, including P, Ni/Al, Cu/Al, P/Al, P/Ti, and Babio ratios. These collectively indicate generally low primary productivity interrupted by intervals of enhanced paleoproductivity or increased organic matter export to the sediments. This interpretation is further supported by the low total organic carbon (TOC) values. These results highlight the sensitivity of the southern Tethys shelf to Middle–Late Eocene climatic variability and the key role of prevailing paleoenvironmental conditions in controlling sediment supply, water chemistry, and biological productivity. Full article

To address the range-angle coupling issue of frequency diverse array (FDA), a beamforming method based on subarray partitioning is proposed, with a focus on analyzing uniform continuous and nonuniform discontinuous subarray structures. Based on the transmit–receive signal model established to solve the time-varying issue of FDA, two subarray partitioning methods under the same array aperture are investigated. In the case of uniform continuous subarray structure, when different linear frequency offsets (FOs) are applied to each subarray, the mainlobe width in range dimension is 4.35 km, and the peak sidelobe level (PSLL) is −7.25 dB. When nonlinear FOs are applied, the mainlobe width is reduced to 2.76 km, and the PSLL is decreased to −9.64 dB. Furthermore, by adopting a nonuniform discontinuous subarray structure combined with nonlinear FOs, the mainlobe width is further narrowed to 1.29 km, and the PSLL is reduced to −11.75 dB. The simulation results demonstrate that under the same conditions, the nonuniform discontinuous subarray structure significantly improves range resolution and effectively suppresses sidelobe. Based on above results, a joint optimization combining the bat algorithm (BA) and K-means++ clustering algorithm is proposed to optimize the subarray structure and element amplitudes simultaneously. Finally, the mainlobe width of the optimized FDA is 1.18 km and the PSLL is −12.32 dB. Simulation results confirm the effectiveness and potential of the proposed method in enhancing range resolution and achieving a focused beampattern. Full article

Social media platforms contain rich but noisy narratives of psychological distress, creating opportunities for early mental health risk detection. However, existing datasets capture heterogeneous constructs such as suicide risk severity, depression diagnosis, and DSM-5 symptom presence, and most prior models are trained and evaluated on a single corpus, limiting their clinical alignment and cross-dataset generalizability. In this study, we fine-tune a domain-specific long-document transformer, AIMH/Mental-Longformer-base-4096, for binary mental health risk detection (risk vs. no risk) using two clinically aligned Reddit datasets: the C-SSRS Reddit corpus and the eRisk 2025 depression dataset. To handle long user histories, we introduce an LLM-based summarization pipeline that compresses posts exceeding 2000 tokens while preserving mental health-relevant information. We also conduct a seven-configuration ablation study across combinations of three corpora (C-SSRS, eRisk, and ReDSM5) to examine how dataset semantics influence model performance. On a held-out C-SSRS + eRisk test set (n = 279), the proposed model achieves a mean balanced accuracy of 0.89 ± 0.01 across five random seeds, with a best run of 0.90 and a 5.74 percentage point improvement over the strongest baseline (TF-IDF + Random Forest). The model also shows strong cross-platform generalization, achieving BA = 0.78 on the depression-reddit-cleaned dataset (n = 7731) and BA = 0.85 (ROC-AUC = 0.92) on a Twitter suicidal-intention dataset (n = 9119) without additional fine-tuning. The ablation analysis shows that although a three-dataset configuration (C-SSRS + eRisk + ReDSM5) maximizes aggregate performance, the ReDSM5 labels encode symptom presence rather than clinical risk, creating a semantic mismatch. This finding highlights the importance of label compatibility when combining heterogeneous mental health corpora. Explainability analysis using Integrated Gradients and attention visualization shows that the model focuses on clinically meaningful expressions such as therapy references, diagnosis, and hopelessness rather than isolated keywords. These results demonstrate that clinically aligned long-context transformers can provide accurate and interpretable mental health risk detection from social media while emphasizing the critical role of dataset semantics in multi-corpus training. Full article

Background and Objectives: Sclerostin or dickkopf-1 (DKK1) inhibits the canonical Wnt/β-catenin signaling pathway, which regulates vascular calcification and may contribute to the development of arterial stiffness. The brachial–ankle pulse wave velocity (baPWV) measures peripheral arterial stiffness (PAS). This study aimed to investigate the correlation between sclerostin and DKK1 levels and PAS in patients with type 2 diabetes mellitus (T2DM). Materials and Methods: Biochemical data and sclerostin and DKK1 levels were analyzed in the fasting blood samples of 125 patients with T2DM. baPWV measurements using the VaSera VS-1000 automatic pulse wave analyzer classified patients with values > 18.0 m/s on either side into the PAS group. Results: Among patients with T2DM, 47 (37.6%) were classified as having PAS. These patients exhibited higher hypertension prevalence (p = 0.002); greater age (p < 0.001); elevated systolic (p < 0.001) and diastolic blood (p = 0.012) pressures; and increased fasting glucose (p = 0.001), glycated hemoglobin (p = 0.008), triglyceride (p = 0.001), blood urea nitrogen (p < 0.001), and creatinine (p = 0.001) levels, urine albumin-to-creatinine ratio (p = 0.039), and C-reactive protein (p = 0.024) and serum sclerostin (p < 0.001) levels, but decreased estimated glomerular filtration rate (p < 0.001). Multivariate logistic regression analysis identified serum sclerostin level (odds ratio, 1.127; 95% confidence interval, 1.058–1.200; p < 0.001) as an independent PAS predictor in patients with T2DM. Serum log-transformed sclerostin levels were positively correlated with left (p = 0.005) and right (p = 0.001) baPWV via Spearman’s rank-order correlation coefficient analysis. Conclusions: Serum sclerostin levels, but not DKK1 levels, are positively correlated with PAS in patients with T2DM. Full article