Search Results (10,371)

Accurate rainfall information is essential for rainfall–runoff modeling in monsoon-influenced basins, where pronounced spatial variability and limited gauge coverage introduce significant uncertainty. Satellite precipitation products provide spatially continuous estimates but are affected by systematic biases, and improvements in statistical rainfall accuracy do not necessarily translate into hydrologically consistent model forcing. This study interpreted satellite rainfall bias correction through a rainfall–runoff framework in the Phetchaburi River Basin, Thailand, using the DWCM-AgWU hydrological model. Simulations were driven by gauge observations and multiple satellite-based rainfall products (GSMaP, CMORPH, CHIRPS, and PERSIANN-CCS), with bias correction applied using Linear Scaling and Quantile Mapping under rainfall-specific calibration. Results showed that bias correction significantly modified rainfall characteristics in distinct ways. Linear Scaling primarily preserved temporal and spatial structure while adjusting rainfall magnitude, whereas Quantile Mapping improved the distributional representation of rainfall intensities. These differences propagated through hydrological processes, leading to systematic variations in runoff responses across multiple metrics, including water balance consistency, peak magnitude, and timing errors. This suggests that each method performs differently depending on the aspect of system response. Rather than identifying a universally optimal method, the findings highlight trade-offs in how rainfall correction strategies influence hydrological system response. Runoff behavior is interpreted as a process-level indicator of rainfall representation, emphasizing that hydrological consistency depends not only on rainfall accuracy but also on its interaction with model structure. These results suggest a process-oriented perspective for interpreting the role of satellite rainfall products in regulated and monsoon-affected basins. Full article

Due to its high efficiency and safety, oocyte vitrification finds broad application in many fields of life sciences, such as clinical assisted reproduction and conservation of animal genetic resources. However, vitrification may cause cellular damage and reduce the quality of oocytes and their cumulus cells (CCs), which could be closely related to disorders in lipid metabolism. At present, the impact of vitrification upon the lipid profile of oocytes and CCs has not been systematically elucidated. In this study, we used porcine germinal vesicle cumulus–oocyte complexes (COCs) as a model to analyze their lipid characteristics after vitrification and in vitro maturation (IVM), utilizing untargeted lipid metabolomics. Our results showed that an overall count of 37 down-regulated and 8 up-regulated differential lipids was identified in the vitrified oocytes. Pathway analysis confirmed the enrichment in glycerophospholipid metabolism and fat digestion and absorption, etc. Combined with transcriptomic analysis, three enriched pathways were revealed, including the AMPK signaling pathway, metabolic pathways, and fatty acid elongation. On the other hand, a total of four down-regulated and eight up-regulated differential lipids were detected in the vitrified CCs. Pathway enrichment implicated autophagy, glycerophospholipid metabolism, etc. A joint analysis of metabolomic and transcriptomic data revealed four enrichment pathways, including cholesterol metabolism, fat digestion and absorption, regulation of lipolysis in adipocytes, and metabolic pathways. Notably, the supplementation of lysophosphatidylcholine during IVM attenuated oxidative stress, enhanced mitochondrial activity, and enhanced the viability and embryonic development of cryopreserved porcine oocytes. The results indicate that vitrification alters lipids in oocytes and CCs, and the supplementation of lipids plays a role in improving the quality of vitrified oocytes. Full article

This paper presents a 2-GS/s voltage–time hybrid pipelined analog-to-digital converter (ADC) with a 14-bit digital output, implemented in a 28-nm CMOS process. To alleviate the gain–bandwidth–power trade-off in deeply scaled technologies, the proposed architecture employs a SHA-less front-end and a low-gain inverter-based push–pull RA for energy-efficient coarse quantization. The residue is then transferred to the time domain via a highly linear constant-current voltage-to-time converter (CC-VTC) and digitized by a four-channel time-interleaved gated-ring-oscillator (GRO) TDC. To recover dynamic linearity degraded by low-gain amplification and interleaving mismatches, a multiplier-less digital background calibration engine is implemented. Leveraging mean absolute value (MAV) statistics and dither-injected least-mean-squares (LMS) algorithms, it effectively compensates for inter-channel and interstage errors with minimal hardware overhead. The prototype occupies an active area of 0.16 mm². At 2 GS/s, the ADC achieves a Nyquist SNDR of 63.42 dB and an SFDR of 73.71 dB, corresponding to an ENOB of 10.24 bits. Consuming 86.9 mW from a 1-V supply, it achieves a Walden FoM of 35.9 fJ/conv.-step. Measurement results from multiple chips under a wide range of operating conditions verify the robustness of the proposed ADC. Full article

Background: Etiologies of neural tube defects (NTDs) are multifactorial. Genetic, epigenetic and environmental factors may contribute to their reported variation in prevalence across the globe. Ethiopia has among the highest reported NTD prevalence globally, making investigation of genetic determinants in this high-risk population particularly important for advancing the understanding of NTD etiology. Genes involved in folate metabolism, such as the reduced folate carrier 1 (RFC1), have been investigated for the potential associations with NTDs, but findings throughout the literature remain inconsistent and inconclusive. Objective: The aim of this study was to determine an association of RFC-1 polymorphism at rs1131596 and rs1051266 loci (functional variants previously implicated in folate transport efficiency and NTD susceptibility) among mothers with the occurrence of NTDs in their offspring in Ethiopia. Methods: A case–control study involving 250 mothers (187 controls and 63 cases) of children with or without NTDs was conducted in Addis Ababa, Ethiopia from April 2022, to September 2024. A total of 250 maternal whole blood samples were systematically collected and subjected to genetic analysis at loci rs1131596 and rs1051266 by polymerase chain reaction (PCR) and Sanger sequencing. Results: Detection of heterozygous (TC) and homozygous (CC) genotypes for SNP rs1131596 (−43T>C) in the RFC1 gene was 27.2%, with heterozygous (TC) comprising 10.4% and homozygous (CC) 16.8%. In contrast, for the rs1051266 (80A>G), the prevalence of the AG polymorphism was 28% while the GG polymorphism was 16.4%, resulting in a cumulative prevalence of 44.4%. The presence of maternal RFC-1 polymorphism at these two locations were not associated with significantly (p = 0.601 & p = 0.225 respectively) higher odds for NTD births. Conclusions: This study did not reveal significant association between maternal RFC1 gene polymorphisms and NTD-affected births. Comprehensive whole-genome sequencing of affected off-spring is essential to identify specific mutations or polymorphisms that may individually or collaboratively affect the risk of NTDs in the Ethiopian context. Full article

This study evaluates the technical feasibility of deploying containerized oxy-combustion power modules with integrated CO₂ capture in remote Ecuadorian Amazon oil fields. Associated petroleum gas is conditioned with a 35 wt.% diethanolamine (DEA) sweetening stage specifically implemented to remove H₂S and reduce acid-gas loading prior to combustion, improving fuel quality and protecting downstream equipment while increasing methane mole fraction for combustion. System efficiency is governed by stoichiometric oxygen demand, with methane requiring 2 mol O₂/mol fuel and hexane requiring 11 mol O₂/mol fuel; favoring methane-rich streams reduces ASU energy demand, enhances combustion performance, and lowers separation costs. The combined oxy-combustion cycle attains a thermal efficiency of 33.10% and an exergetic efficiency of 39.98%. Major energy penalties arise from the cryogenic air separation unit and the CCS train, yet operational tuning of CO₂ recirculation and steam flow could raise thermal efficiency by up to 2%. The ASU produces oxygen at 96.67% purity with an energy consumption of 0.385 kWh/kg O₂, while the CCS achieves 99.99% CO₂ capture at 0.41 kWh/kg CO₂. Sourcing gas from three production blocks provides flexibility to accommodate supply variability. The modular 272 MW unit demonstrates viability for off-grid power supply, routine flaring reduction, and scalable acid-gas valorization in frontier oilfields. Full article

Background/Objectives: Although certain established prognostic factors may occasionally fail to provide precise risk prediction in renal cell carcinoma (RCC), valosin-containing protein (VCP)/p97 has been implicated in a poor prognosis in various cancers, while its prognostic value in clear cell renal cell carcinoma (ccRCC) remains unknown. This study aimed to determine the independent prognostic value of VCP/p97 expression in ccRCC. Methods: This retrospective study included 137 ccRCC patients, and VCP/p97 expression was analyzed by immunohistochemistry and classified into either low or high expression based on the intensity of the staining in relation to the expression in endothelial cells. Results: High expression of VCP/p97 was significantly correlated with large tumor size ($p<0.001$), Fuhrman nuclear grade ($p=0.003$), advanced TNM stage ($p<0.001$), and distant metastasis ($p<0.001$). Kaplan–Meier analysis showed that the survival of patients with high expression of VCP/p97 was significantly reduced, and multivariate analysis revealed that high expression of VCP/p97 independently predicted poor survival (HR $2.09$, $95\%$ CI 1.06–4.15, $p=0.034$) in addition to age, Fuhrman grade, and TNM stage. Conclusions: This study demonstrated that VCP/p97 expression, a newly identified prognostic factor, independently predicted a poor prognosis in ccRCC, and its expression may be a useful tool in identifying ccRCC patients with a poor prognosis. Full article

Di(hetero) aryl and alicyclic amine derivatives of thieno[2,3-b]pyridine were synthesized in good to high yields (45–76%) via palladium-catalyzed Buchwald–Hartwig amination. The reactions were performed using methyl 5-bromothieno[2,3-b]pyridine-2-carboxylate, prepared in this work, and a variety of substituted anilines bearing either electron-donating groups (EDGs) or electron-withdrawing groups (EWGs), as well as pyridinyl amines, and saturated heterocyclic amines such as morpholine and piperidine. For most substrates, the optimal conditions involved Pd(OAc)₂, rac-BINAP, and Cs₂CO₃ in toluene at 100 °C under argon. Substrate bearing EWGs and electron-deficient pyridinyl amines required Xantphos as the ligand, while reactions with piperidine were only successful using Pd₂(dba)₃ as a palladium (0) source. The antiparasitic activity of the synthesized compounds was evaluated against Trypanosoma brucei (T. brucei) and Leishmania infantum (L. infantum) in both promastigote and amastigote forms. Most compounds exhibited no significant cytotoxicity (CC₅₀ > 100 μM) in PMA-differentiated THP-1 derived macrophage cells. Analysis of substituent effects focusing on the nature of amino substitution at position C(5) revealed distinct trends in antiparasitic activity. Notably, one compound exhibited activity against Leishmania infantum promastigotes that was nearly four times higher than that of the reference drug miltefosine, and its selectivity index was also approximately fourfold higher. Full article

To improve the surface properties of 40Cr steel, Ni45/Y₂O₃ laser-cladded coatings (L-CCs) were fabricated on the surface of 40Cr steel. The effects of Y₂O₃ addition (0.5%, 1.0%, and 1.5%) on the microstructure, microhardness, residual stress, wear resistance, and corrosion resistance of the L-CCs were systematically investigated. The results indicate that Y₂O₃ has a significant effect on enhancing the corrosion resistance and suppressing the residual stress of the L-CCs, whereas its contribution to the improvement of microhardness and wear resistance is relatively limited. Compared with the single Ni45 L-CC, the L-CC containing 1.0% Y₂O₃ exhibited a 45.9% reduction in corrosion current density and a 79.3% reduction in residual stress. At a Y₂O₃ addition of 0.5%, the microhardness increased by 4.0%, while the average friction coefficient and wear mass loss decreased by 4.8% and 2.6%, respectively, relative to the single Ni45 L-CC. Excessive Y₂O₃ addition reduces the fluidity of materials in the molten pool and deteriorates the microstructural uniformity, thereby weakening or even impairing the surface properties of the L-CCs. Full article

Human cytomegalovirus (HCMV) remains a significant cause of morbidity in immunocompromised patients, necessitating the development of improved antivirals. Using an integrated in silico and in vitro approach, we identified a novel ligand (NL) as a letermovir analog with enhanced binding affinity and reduced cytotoxicity. A pUL56 terminase subunit model generated with AlphaFold 3 was used for the virtual screening of a 15,000-compound library. Among the 73 candidates with structural similarity to letermovir (Tanimoto ≥ 0.6), NL exhibited superior predicted binding affinity (ΔG_bind = −10.7 kcal/mol). In silico toxicity prediction (ProTox 3.0) classified NL as having low toxicity (class 4, LD50 ≈ 1000 mg/kg), which was confirmed in vitro, where NL demonstrated 158-fold less toxic (CC50 = 2.69 mg/mL) in MRC-5 cells than letermovir (0.017 mg/mL). Molecular dynamics simulations over 500 ns revealed that the pUL56-NL complex forms a more thermodynamically stable interaction, with a lower calculated free energy of binding (MMGBSA: −40.89 ± 7.40 kcal/mol vs. −32.76 ± 4.96 kcal/mol) and a narrower free energy landscape. These results establish NL as a promising, low-cytotoxicity candidate with enhanced target engagement, warranting further investigation as a potential anti-HCMV therapeutic. Full article

To address the trade-off between storage stability and curing reactivity in NCO-terminated waterborne polyurethane (WPU) systems, a solvent-free WPU emulsion with dual-curing characteristics was developed using vanillin (VAN) and 2-hydroxyethyl acrylate/pentaerythritol triacrylate (HEA/PETA). Hexamethylene diisocyanate (HDI) and 2,2-bis(hydroxymethyl)butyric acid (DMBA) were used as the isocyanate component and internal hydrophilic moiety, respectively, to prepare a self-dispersible polyurethane prepolymer. VAN was introduced as a latent isocyanate-related component, while HEA/PETA served as acrylate-bearing reactive modifiers, followed by self-emulsification to form a stable aqueous dispersion. The prepolymer structure, curing behavior, and adhesive performance on bamboo substrates were systematically investigated. The results supported the successful introduction of VAN-derived structures into the polyurethane chains and the retention of polymerizable C=C bonds from HEA/PETA. Thermal analysis suggested dual-curing behavior with two distinguishable thermal events, involving lower-temperature polymerization of unsaturated groups and a VAN-related higher-temperature reaction. The resulting WPU exhibited dry and wet shear strengths above 23 MPa and 9 MPa, respectively. These findings demonstrate a feasible strategy for integrating emulsion stability, staged curing, and adhesive performance in solvent-free WPU systems. Full article

Background/Objectives: Growing evidence suggests that disruption of circadian rhythms contributes to the pathogenesis of inflammation and inflammatory bowel disease; however, clinical data linking circadian gene variants to ulcerative colitis remain limited. In this study, we aimed to investigate associations between key circadian rhythm gene polymorphisms and clinical and treatment-related characteristics in ulcerative colitis. Methods: A total of 107 patients with ulcerative colitis and 80 healthy controls were included in this single-center cross-sectional study. The BMAL1 rs7950226, CLOCK rs1801260, and CRY1 rs2287161 polymorphisms were analyzed using the polymerase chain reaction–restriction fragment length polymorphism (PCR-RFLP) method. Genotype and allele frequency distributions were compared between patients and controls, and associations with clinical characteristics were evaluated within the ulcerative colitis cohort. Results: Genotype distributions of BMAL1 rs7950226 and CLOCK rs1801260 were similar between patients with ulcerative colitis and healthy controls; however, the G allele of BMAL1 was more frequent in patients (p = 0.028). Within the ulcerative colitis cohort, CLOCK rs1801260 genotypes were significantly associated with inflammatory and treatment-related characteristics, with the CC genotype linked to higher C-reactive protein levels (p = 0.021) and the TT genotype associated with increased azathioprine use (p = 0.006). Conclusions: These findings suggest a potential association between circadian rhythm gene variants and clinical features of ulcerative colitis, particularly in relation to inflammatory activity and treatment requirements, and provide preliminary clinical insight that warrants further investigation in larger and longitudinal studies. Full article

Video-based action recognition for neural rehabilitation—spanning stroke recovery, Parkinsonian gait assessment, and cerebral palsy monitoring—faces critical challenges, including temporal ambiguity, non-causal motion correlations, and the absence of causally grounded dynamics modeling. While transformer-based architectures achieve strong performance, they often exploit spurious temporal and environmental cues, limiting reliability in safety-critical clinical settings. We propose NeuroPrisma, a neuro-prismatic video framework that integrates frequency-domain spectral decomposition with causal intervention under Structural Causal Models (SCMs) via the backdoor criterion. NeuroPrisma introduces (i) a Prismatic Spectral Attention (PSA) module, which applies discrete Fourier transforms to decompose temporal features into multi-scale frequency bands, disentangling slow postural dynamics from rapid corrective movements, and (ii) a Causal Intervention Layer (CIL), which performs do-calculus-based backdoor adjustment to remove confounding influences and produce causally invariant representations. PSA preconditions representations prior to intervention, improving confounder estimation and causal robustness. Extensive evaluation against seven state-of-the-art models (I3D, SlowFast, TimeSformer, ViViT, Video Swin Transformer, UniFormerV2, and VideoMAE) demonstrates that NeuroPrisma achieves 98.7% Top-1 accuracy on UCF101, 82.4% on HMDB51, 71.2% on Something-Something V2, and 91.5%/95.8% on NTU RGB+D (Cross-Subject/Cross-View), consistently outperforming prior methods. It further reduces the Causal Confusion Score (CCS) by 42.3%, indicating substantially lower reliance on spurious correlations, while maintaining real-time performance with 23.4 ms latency per 16-frame clip on an NVIDIA A100 GPU. All improvements are statistically significant (p < 0.001, Cohen’s d = 0.72–1.24). Evaluation was conducted exclusively on benchmark datasets (UCF101, HMDB51, Something-Something V2, and NTU RGB+D) under controlled conditions, without direct clinical validation on neurological patient cohorts. Overfitting was mitigated using three random seeds (42, 123, 456), RandAugment, Mixup (α = 0.8), weight decay (0.05), and early stopping. Cross-dataset generalization from UCF101 to HMDB51 without fine-tuning achieved 76.2% Top-1 accuracy. Future work will focus on prospective clinical validation across stroke, Parkinson’s disease, and cerebral palsy populations, including correlation with standardized clinical assessment scales such as Fugl–Meyer, UPDRS, and GMFCS. These results establish NeuroPrisma as a causally grounded and computationally efficient framework for reliable, real-time movement assessment in clinical rehabilitation systems. Full article

Triptolide (TPL), the core active component of the traditional Chinese medicinal herb Tripterygium wilfordii Hook F (TwHF), possesses a wide spectrum of pharmacological activities, including anti-inflammatory, neuroprotective, immunosuppressive, and anti-tumor activities. However, its clinical application is severely limited by significant reproductive toxicity, the mechanism of which remains poorly understood. Using an integrated analysis of MeRIP-seq and mRNA-seq data, coupled with experimental validation in HTR-8/SVneo cells, we systematically elucidated the molecular mechanism by which TPL induces trophoblast cell injury. Our findings revealed that TPL significantly altered intracellular N⁶-methyladenosine (m⁶A) modification and gene expression profiles, with 1774 genes displaying hypomethylation concurrent with mRNA upregulation. According to the functional enrichment analysis, these genes showed significant enrichment in several key pathways associated with reproduction, including autophagy, DNA damage response, mitochondrial outer membrane, and positive regulation of apoptotic process. Molecular docking further demonstrated direct and stable binding of TPL to key m⁶A regulators, leading to specific demethylation of targets including E2F1 and PPP1CC. This study uncovers a novel post-transcriptional mechanism where TPL disrupts m⁶A modification, thereby perturbing essential trophoblast functions and driving reproductive toxicity. Full article

Optimization of ridesharing systems poses challenges for the development of solvers due to a nonconvex discrete solution space and complex constraints. Over the past decade, many metaheuristic algorithms have been proposed to solve optimization problems in ridesharing systems. Performance, robustness and efficiency are three important issues in the development of metaheuristic algorithms for ridesharing systems. Cooperative coevolution is a potential approach to improving the performance, robustness, and efficiency of metaheuristic algorithms. However, studies on the application of cooperative coevolution to optimization problems in ridesharing systems remain limited, as most existing work focuses on problems with a continuous solution space. Metaheuristic algorithms can be combined with the cooperative coevolution approach to solve optimization problems. In this paper, we combine particle swarm optimization (PSO) and bare-bones particle swarm optimization (BBPSO) with cooperative coevolution to develop two metaheuristic algorithms for ridesharing systems: discrete cooperative coevolution-based particle swarm optimization (DCCPSO) and discrete cooperative coevolution-based bare-bones particle swarm optimization (DCCBBPSO). We conducted a comparative study to assess their effectiveness in terms of performance, robustness and efficiency based on the experimental results. The results indicate that the cooperative coevolution-based metaheuristic algorithms developed in this study outperform discrete PSO (DPSO), discrete BBPSO (DBBPSO), and many other existing metaheuristic algorithms for ridesharing systems in terms of performance and robustness. The results show that the DCCPSO algorithm and the DCCBBPSO algorithm outperform the other 16 metaheuristic algorithms in convergence speed (measured by the average number of generations to find the best solution) in most cases. However, the DCCPSO and the DCCBBPSO algorithms do not outperform all the other 16 metaheuristic algorithms in terms of runtime. This is due to the inherent complex structure of the CC approach. Full article

Achieving high selectivity in the hydrogenation of CO₂ to light olefins remains challenging because of the complex reaction network and the difficulty of regulating key intermediates. Motivated by green-hydrogen-enabled power-to-chemicals pathways, we combine density functional theory (DFT) with first-principles microkinetic simulation (FPMS) to construct a quantitatively predictive reaction-energy landscape and elucidate structure–selectivity relationships. A comprehensive reaction network is established through energy-surface fitting, and steady-state rate constants are solved to capture the microkinetic competition between elementary steps. By introducing electronic density-of-states (DOS) modulation as a design variable, we directly correlate surface structural parameters with rate-controlling steps, thereby enabling targeted regulation of C–C coupling and hydrogen transfer processes. The calculated barrier for CO₂ adsorption to COOH* is 1.35 eV, while the transition state barrier for C–C coupling is 1.50 eV, corresponding to a reaction rate of 9.7 × 10³ s⁻¹; the olefin desorption rate reaches 1.7 × 10⁷ s⁻¹. Crucially, shifting the d-band center from −2.35 eV to −1.60 eV increases the C₂–C₄ olefin selectivity from 42.6% to 68.3%, establishing an actionable electronic structure lever for catalyst optimization. These results reveal the intrinsic mechanism by which surface electronic and geometric regulation governs intermediate stabilization and rate control, providing a verifiable, mechanism-based design principle for efficient CO₂-to-olefin catalysts aligned with green hydrogen deployment. Full article