Search Results (14,760)

Despite the promise of graph neural networks (GNNs) in hydrological forecasting, existing approaches face critical limitations in capturing dynamic spatiotemporal correlations and integrating physical interpretability. To bridge this gap, we propose a spatial-temporal graph neural network (ST-GNN) that addresses these challenges through three key innovations: dynamic graph construction for adaptive spatial correlation learning, a physically-informed feature enhancement layer for soil moisture and evaporation integration, and a hybrid Graph-LSTM module for synergistic spatiotemporal dependency modeling. The temporal and spatial modules of the spatio-temporal graph neural network exhibit a structural symmetry, which enhances the model’s representational capability. By integrating these components, the model effectively represents rainfall-runoff processes. Experimental results across four Chinese watersheds demonstrate ST-GNN’s superior performance, particularly in semi-arid regions where prediction accuracy shows significant improvement. Compared to the best-performing baseline model (ST-GCN), our ST-GNN achieved an average reduction in root mean square error (RMSE) of 6.5% and an average improvement in the coefficient of determination (R²) of 1.8% across 1–8 h forecast lead times. Notably, in the semi-arid Pingyao watershed, the improvements reached 13.3% in RMSE reduction and 2.5% in R² enhancement. The model incorporates watershed physical characteristics through a feature fusion layer while employing an adaptive mechanism to capture spatiotemporal dependencies, enabling robust watershed-scale forecasting across diverse hydrological conditions. Full article

Background: Early risk stratification in ST-elevation myocardial infarction (STEMI) remains critical, particularly for anticipating adverse outcomes such as the coronary no-reflow phenomenon (NRP) and early mortality. The Endothelial Activation and Stress Index (EASIX), calculated from routine laboratory parameters, has emerged as a potential biomarker reflecting systemic endothelial dysfunction. This study evaluated the prognostic value of admission EASIX for the NRP and in-hospital mortality in STEMI patients undergoing primary percutaneous coronary intervention (pPCI). Methods: In this retrospective single-center cohort, 1931 STEMI patients treated with pPCI between January 2023 and January 2025 were included. EASIX was calculated at admission. NRP was defined as post-PCI TIMI flow ≤ 2 or TIMI 3 flow with impaired myocardial blush (TMPG ≤ 1). Multivariable logistic regression, reclassification analyses (NRI/IDI), ROC analysis, and calibration methods were used to assess predictive performance. Sensitivity and interaction analyses were conducted. Results: NRP occurred in 14.1%, and in-hospital mortality was 2.5%. EASIX was independently associated with both outcomes (NRP: adjusted OR 1.485, 95% CI 1.286–1.715; mortality: adjusted OR range 1.371–2.096 across models; all p < 0.001). EASIX significantly improved risk reclassification for both NRP and in-hospital mortality (NRI > 0.20). ROC-AUCs were 0.706 for NRP and 0.810 for mortality. Restricted cubic spline and LOWESS analyses revealed nonlinear risk escalation. Calibration plots and Brier scores confirmed model reliability. Associations persisted across ischemic time and renal function strata. Conclusions: Admission EASIX is independently associated with NRP and in-hospital mortality in STEMI. Easily accessible and integrative, EASIX may enhance early risk stratification. External validation is warranted before clinical implementation. Full article

Triticale (×Triticosecale Wittmack), a synthetic hybrid of wheat (Triticum spp.) and rye (Secale cereale), is a valuable dual-purpose crop for its high yield and stress tolerance. Introducing beneficial alien chromatin is crucial for expanding genetic diversity and improving cultivars. This study aimed to introduce Thinopyrum intermedium St genome chromatin into hexaploid triticale via trigeneric hybridization to develop novel germplasm. Six stable lines were selected from crosses between an octoploid wheat-Th. intermedium partial amphiploid line Maicao 8 and a hexaploid triticale cultivar Hashi 209. Agronomic traits were evaluated over two cropping seasons, revealing that the translocation lines exhibited superior agronomic performance compared to the parental triticales. These lines showed longer spikes, higher tiller numbers, and increased grain protein content, without compromising thousand-kernel weight. Cytogenetic analysis using sequential multicolor genomic in situ hybridization (smGISH), fluorescence in situ hybridization (FISH), and oligonucleotide probes, alongside validation with species-specific molecular markers, identified all six lines as St-R terminal translocation lines containing 14 rye chromosomes. Three lines carried a small terminal St segment on chromosome 1R, while the other three carried St segments on both 1RL and 4RS chromosomes. This work demonstrates that trigeneric hybridization is an effective strategy for inducing intergeneric recombination between Thinopyrum intermedium and rye chromosomes, leading to stable, small-segment terminal translocations. The developed St-R translocation lines represent a novel and valuable germplasm resource for enriching genetic diversity and breeding improved triticale cultivars with enhanced yield and quality traits. Full article

Step detection based on measurements of inertial measurement units (IMUs) is fundamental for human activity recognition, indoor navigation, and health monitoring applications. This study validates and compares five fundamentally different step detection algorithms for potential implementation on edge devices. A dedicated measurement system based on the Raspberry Pi Pico 2W microcontroller with two IMU sensors (Waveshare Pico-10DOF-IMU and Adafruit ST-9-DOF-Combo) was designed. The implemented algorithms include Peak Detection, Zero-Crossing, Spectral Analysis, Adaptive Threshold, and SHOE (Step Heading Offset Estimator). Validation was performed across 84 measurement sessions covering seven test scenarios (Timed Up and Go test, natural and fast walking, jogging, and stair climbing) and four sensor mounting locations (thigh pocket, ankle, wrist, and upper arm). Results demonstrate that Peak Detection achieved the best overall performance, with an average F1-score of 0.82, while Spectral Analysis excelled in stair scenarios (F1 = 0.86–0.92). Surprisingly, upper arm mounting yielded the highest accuracy (F1 = 0.84), outperforming ankle placement. The TUG clinical test proved most challenging (average F1 = 0.68), while fast walking was easiest (F1 = 0.87). Additionally, a preliminary application to 668 clinical TUG recordings from the open-access FRAILPOL database revealed algorithm-specific failure modes when continuous gait assumptions are violated. These findings provide practical guidelines for algorithm selection in edge computing applications and activity monitoring systems. Full article

Background/Objectives: Carbapenem-resistant Acinetobacter baumannii (CRAB) is classified as an urgent-threat pathogen because of its resistance to nearly all available antibiotics, resulting in high morbidity and mortality rates. However, data on the molecular epidemiology of CRAB isolates in southern Thailand are limited. This study aimed to investigate the genomic epidemiology of CRAB isolates within a hospital network in lower southern Thailand. Methods: Whole-genome sequencing data of CRAB clinical isolates (n = 224) were obtained from a previous study. Additional isolates (n = 70) were included, for which genomic DNA was extracted and sequenced. In total, 294 isolates were collected from patients across seven hospitals in southern Thailand between 2019 and 2020. Their genomes were analyzed using several bioinformatic tools. Results: A high proportion of isolates were obtained from sputum samples of patients with CRAB infection or colonization. Sequence type (ST) 2 was the most frequent ST and was classified in the quadrant with high resistance and virulence. The Sankey diagram showed that ST2 was the dominant and most versatile CRAB lineage circulating across major hospitals, commonly associated with pneumonia, and that diverse resistance genes and plasmid combinations were dominated by bla_OXA-23. The core single-nucleotide polymorphism (SNP)-based phylogenetic tree revealed clades A1 (ST215), A2 (multiple STs), and B (ST2). Bloodstream, skin, and soft tissue infections were predominantly observed in clade B. Conclusions: Our analysis revealed widespread circulation of a high-risk ST2 CRAB lineage with enhanced resistance and virulence across hospital networks in the studied region, highlighting the importance of genomics-informed surveillance for controlling CRAB dissemination. Full article

The protection of human and ecological health has become more challenging because of the myriad of human and climate stressors, and the sustainability of our social, economic, and environmental systems would be enhanced by further defensible risk assessment. There are scientific, technological, and cultural challenges to interoperability, bridging the necessary disciplines and integrating data from the genome to globe. Interoperability makes possible the use and reuse of data and modeling approaches and is a contemporary and rapidly progressing area advancing toxicology and exposure science. We present a coherent vision of human and ecological risk assessment, including the types of information and modeling science to create knowledge and apply it for improved decision-making. We focus on science-based decision-making, emphasizing decisions where science is the primary or sole driver, as in human toxicology and ecological risk assessment. This contrasts with decision-making where science has a minor role, if at all, in weighing decision options. We also examine the barriers that exist in the creation and application of systems thinking. We identify: the (1) needs and challenges for the application of a systems approach to informing decisions; (2) case studies that illustrate informatics needs for 21st-century science-based decision-making; and (3) recommendations on how to progress towards a systems approach to informing decisions. Full article

Vancomycin-resistant Enterococcus faecium (VREfm) is an emerging pathogen responsible for healthcare-associated infections. For this reason, 44 VREfm isolates collected during 2021–2023 were characterized using phenotypic and genomic approaches. VREfm isolates were identified by MALDI-TOF and antimicrobial susceptibility tests were performed with Vitek 2, Sensititre, or E-test. Sequence type (ST), antibiotic resistance genes, virulence factors and genetic relatedness were determined using Next Generation Sequencing. Forty-three isolates had a VanA phenotype and vanHAX genotype and one had a VanB phenotype and vanHBX genotype. Isolates showed high antibiotic resistance to various antibiotics, but generally remained susceptible to quinupristin/dalfopristin, tigecycline and eravacycline. Two isolates were resistant to linezolid, showing the chromosomal mutation G2576T in domain V of the 23S rRNA gene in one isolate, and the transferable linezolid resistance genes cfr(D) and optrA in the other. Thirty-eight isolates belonged to ST80, one to ST17 (ST80 and ST17 are included in CC17) and one to ST697. Genomic analysis of the ST80 isolates showed that nearly all of them belonged to a single cluster. To prevent further spread of VREfm in the nosocomial environment, in addition to the application of up-to-date infection control strategies and antibiotic stewardship programs, the implementation of genomic surveillance is recommended. Full article

This study positions the podcast Question Everything as an innovative case of metanarrative podcast journalism amid the growing crisis of distrust in news media. Through in-depth interviews with host Brian Reed and producer Zach St. Louis, along with textual analysis of all 27 episodes of the first season, this study examines how self-reflexive narrative storytelling both critiques and reimagines journalism. The dual-method approach explores not only what the podcast says about journalism, but also how the performance of podcasting becomes a mode of journalistic epistemology. Grounded in Metajournalistic Discourse Theory, findings demonstrate how Question Everything challenges traditional definitions of journalism, enacting metajournalistic discourse through four mechanisms: (1) inviting and exploring criticism, (2) performing transparency in the editing process, (3) experimenting with epistemology, and (4) embracing uncertainty and ambiguity. This paper argues that podcasts like Question Everything enact a performative mode of journalism that reconfigures how audiences make sense of truth, credibility, and authority. Full article

Sophora tonkinensis is a valuable medicinal plant whose cultivation is constrained by drought and cadmium (Cd) contamination. DNA methylation, mediated by cytosine-5 DNA methyltransferases (C5-MTases) and DNA demethylases (dMTases), contributes to plant stress response; however, these gene families have remained uncharacterized in S. tonkinensis. Here, we identified 12 methylation-related genes (four StC5-MTases and eight StdMTases) and analyzed their phylogeny, duplication, promoter cis-elements, and expression patterns under Cd exposure and drought/rehydration. Most duplicated pairs showed Ka/Ks < 1, consistent with purifying selection. StCMT1 and StMET2 were induced by both Cd and drought stress but declined after rehydration, whereas StROS1b and StROSlike3 responded rapidly to both stresses. Heterologous overexpression in Nicotiana benthamiana improved growth under Cd stress for StCMT1 lines and under PEG-induced osmotic stress for StROSlike3 lines, as reflected by plant height and whole-plant fresh weight. Together, these findings establish a genome-wide resource for DNA methylation machinery in S. tonkinensis and provide candidate genes for investigating epigenetic regulation of abiotic stress adaptation. Full article

To evaluate the comprehensive ecological risks associated with transgenic plant residues, this study examined their impact on Eisenia fetida and their endogenous microorganisms. The results indicated that transgenic plant residues did not influence the survival or weight of E. fetida, but they significantly altered the microbial community structure at specific time points. Specifically, the diversity and structure of the fungal community exhibited significant changes on the 14th and 28th days after treatment. In contrast, the bacterial response was delayed, with 22 biomarkers, including Caproiciproducens, Lachnoclostridium, and Enterococcus, being specifically enriched on the 21st day. This study confirmed that transgenic plant residues can temporally reshape the microecology within E. fetida. The practical significance of this research lies in highlighting the importance of incorporating the microbiome into safety assessment frameworks, thereby providing a scientific foundation for developing more forward-looking ecological risk assessment standards. Full article

Staphylococcus are common bacteria that can be a component of the natural microbiota of the body of human and animal hosts or cause serious infections. The aim of this study was to analyze the presence of S. aureus in samples from two sheep breeds (Świniarka and Uhruska), assess the antimicrobial susceptibility and virulence profile of these microorganisms, and perform molecular comparative analysis of these bacteria. One hundred and three isolates of S. aureus strains were obtained (including five MRSA strains) and the highest phenotypic resistance to tetracycline (46.6%), clindamycin (45.6%), erythromycin (39.8%), and penicillin (31.1%) was confirmed. The tetL gene (27.2%) and the seB gene (44.7%) were the most frequently detected in strains. Three new sequence types in the MRSA isolates (ST 9313, ST 9314, ST 9315) were identified. In conclusion, our results confirm that sheep are significant reservoirs of S. aureus, especially MRSA strains, varying in terms of both resistance and virulence and with the potential to spread between individuals in the same herd, which may pose a potential health problem. Full article

This study investigated the distribution patterns of zooplankton species composition and functional groups, their correlations with aquatic environmental factors, and the mechanisms underlying community stability under the influence of regional barriers in arid areas of Xinjiang, China. The aim was to elucidate the ecological processes driving zooplankton communities in artificial aquatic ecosystems in Central Asia. A systematic survey was conducted on water environmental parameters and zooplankton community structures across 10 artificial water bodies, including the southern foot of the Altai Mountains and both northern and southern slopes of the Tianshan Mountains. The survey encompassed physical and nutrient indicators, and the results revealed significant spatial variation among water bodies across regions. Artificial water bodies in the southern Altai Mountains and northern Tianshan Mountains exhibited substantial fluctuations in temperature, dissolved oxygen (DO), total nitrogen (TN), and total phosphorus (TP). In contrast, water bodies in the southern Tianshan Mountains showed less variation in nutrient indicators. Zooplankton identification results indicated marked differences in zooplankton communities across regions, which were further confirmed by cluster analysis and non-metric multidimensional scaling (NMDS). A total of 19 dominant zooplankton species were identified across the three basins, classified into 6 functional groups. The composition of zooplankton functional groups also varied considerably, which may be closely associated with significant fluctuations in nutrient indicators of aquatic environmental factors across regional barriers. Additionally, there were specific differences in zooplankton diversity among the three basins: the SA region ranged from α-mesosaprobic to polysaprobic and β-mesosaprobic; the NT region was classified as β-mesosaprobic; and the ST region ranged between β-mesosaprobic and lightly polluted. These results may be attributed to differences in regional barriers and glacial meltwater conditions. Canonical Correspondence Analysis (CCA) showed that environmental factors collectively explained 71.1% of the variation in species distribution. Exploring the zooplankton species composition and their relationships with aquatic environmental factors under different regional barriers provides a scientific basis for regional water resource management and environmental protection. Full article

Background and Objectives: This study aimed to describe the clinical characteristics and survival outcomes of three representative complex karyotype soft tissue sarcoma (STS) subtypes—undifferentiated sarcoma (US, primarily undifferentiated pleomorphic sarcoma (UPS)), myxofibrosarcoma (MFS), and leiomyosarcoma of soft tissue (LMS-ST)—using data from a single-institution cohort. Materials and Methods: A retrospective review of 124 patients treated at a single tertiary referral center between 2002 and 2024 was conducted. Clinicopathologic characteristics and survival outcomes were analyzed. Kaplan–Meier methods were used to estimate overall survival (OS). Cox proportional hazards regression models were applied to identify independent prognostic factors for survival, incorporating variables such as age, sex, tumor stage, and treatment modality. Results: The cohort comprised 36 cases of US, 64 of MFS, and 24 of LMS-ST. OS and survival after cohort enrollment (S-NCC) were evaluated both by subtype and across the entire cohort to assess potential differences across tumor subgroups. In both univariable and multivariable analyses, US subtypes showed poorer survival than MFS and LMS-ST. FNCLCC grade 3 emerged as a significant adverse prognostic factor for survival across all three subtypes. For FNCLCC grade 3 patients, the presence of benign prostatic hyperplasia (BPH) was significantly associated with an increased risk of death. Conclusions: Among the three subtypes, US demonstrated the most aggressive clinical course, MFS was notable for frequent local recurrence but relatively favorable survival, and LMS-ST showed intermediate outcomes. These findings highlight the clinical heterogeneity of complex karyotype STS and provide a foundation for future studies integrating molecular and multi-omics data to refine risk stratification and therapeutic strategies. Full article

Urban populations are exposed to elevated local temperatures compared to surrounding rural areas due to the urban heat island (UHI) effect, which increases health risks and energy demand. The literature highlights that accurately quantifying UHIs at broader territorial scales remains challenging because of limited microscale climate data availability and, at the same time, the difficulty of increasing the spatial coverage of the outcomes. Within the PRIN2022-PNRR CRiStAll (Climate Resilient Strategies by Archetype-based Urban Energy Modeling) project, this work addresses these limitations by coupling Urban Building Energy Modeling with archetype-based representation of urban form and high-resolution climatic data. Urban archetypes are defined as representative microscale configurations derived from combinations of urban canyon geometries and building typologies, accounting for different climatic zones, use categories, and construction periods. The proposed methodology was applied to the city of Turin (Italy), where representative urban blocks were identified and modeled to evaluate key urban context metrics under short-, medium-, and long-term climate scenarios. The UHI effect was assessed using Urban Weather Generator, while energy simulations were performed with CitySim. The urban archetype approach enables both fine spatial resolution and extensive spatial coverage, supporting urban-scale mapping. Full article