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Mechanical and Bond-Slip Properties of Steel-Fiber-Reinforced Geopolymer Recycled-Aggregate Concrete
Published 2025-06-01“…To study the mechanical properties and bond strength of SFGRC, five groups of different mix proportions were designed. The main variation parameters were the content of recycled aggregate and the volume content of steel fiber. …”
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42
Growing-season NDVI responses to climate change in China’s three major marsh wetland regions
Published 2025-06-01“…The results show that: (1) minimum temperature is the dominant climate factor affecting the interannual variation and monthly variation of grwoing-season MWV. (2) The MWV’s response to temperature shows no time effects. …”
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43
Spatiotemporal distribution and ecological factors of disease burden in Inner Mongolia’s working age population with brucellosis from 2015 to 2020
Published 2025-04-01“…This study estimated the disease burden and spatiotemporal distribution characteristics of brucellosis in Inner Mongolia’s working-age population from 2015 to 2020 and explored the ecological influences on its disease burden. Spatiotemporal Bayesian modeling was utilized; thus, the spatiotemporal variation pattern of disease burden of brucellosis was analyzed. …”
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Deep learning-driven 3D marine nitrate estimation: uncertainty mitigation through underwater signal exploitation and label augmentation
Published 2025-04-01“…Nitrate is a critical limiting nutrient that significantly influences marine primary productivity and carbon sequestration. …”
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45
Wind speed forecasting approach using conformal prediction and feature importance selection
Published 2025-07-01“…Wind energy is a rising renewable energy source that plays an important role in the transition to a more sustainable energy system. Variation in wind power generation is one of the main challenges facing this energy source. …”
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Intrinsic factors influence a physiological measure in a forest bird community: adults and females have higher H/L ratios than juveniles and males
Published 2025-03-01“…However, measuring physiological adaptations in wildlife is often challenging, due to intrinsic differences causing natural variations of physiological measures between individuals across species. …”
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An Adaptive Graph Convolutional Network with Spatial Autocorrelation for Enhancing 3D Soil Pollutant Mapping Precision from Sparse Borehole Data
Published 2025-06-01“…Meanwhile, their RMSE drop by 36.56% (vs. Bayesian_K), 38.02% (vs. Bayesian_K), and 35.96% (vs. …”
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Investigating the Interplay of Toxic Metals and Essential Elements in Cardiovascular Disease
Published 2025-05-01“…The results revealed distinct patterns of influence across the toxic metals and essential elements. …”
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49
Real-world safety of carboplatin in non-small cell lung cancer: a retrospective signal detection and subgroup analysis based on the FAERS database
Published 2025-06-01“…IntroductionCarboplatin is frequently employed in the treatment of non-small cell lung cancer (NSCLC), yet the real-world safety profile—including underrecognized adverse events (AEs) and subgroup-specific risk variations—remains incompletely understood. This study aims to systematically assess carboplatin-related AEs and explore demographic factors that may influence risk.MethodsA retrospective analysis was performed using data from the FDA Adverse Event Reporting System (FAERS) spanning the first quarter of 2004 to the third quarter of 2024. …”
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The Importance of Socio-Economic Versus Environmental Risk Factors for Reported Dengue Cases in Java, Indonesia.
Published 2016-09-01“…<h4>Methodology/principal findings</h4>Hospital-reported dengue cases in Banyumas regency, Central Java were examined to build Bayesian spatial and spatio-temporal models assessing the influence of climatic, demographic and socio-economic factors on the risk of dengue infection. …”
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51
The impact of lipidome on intervertebral disk degeneration, low back pain, and sciatica: a Mendelian randomization study
Published 2025-05-01“…To establish causality, we employed two-sample Mendelian randomization, supplemented by Bayesian model averaging for verification. Our assessment of diversity and mutual influence involved Cochran’s Q test, MR-Egger intercept assessment, and MR-PRESSO. …”
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Comparative Analysis of Audio Features for Unsupervised Speaker Change Detection
Published 2024-12-01“…This study examines how ten different audio features, including MFCC, mel-spectrogram, chroma, and spectral contrast etc., influence speaker change detection (SCD) performance. …”
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Formation and Dynamics of Night-Time Cold Air Pools in Peri-Urban Topographic Basins: A Case Study of Coimbra, Portugal
Published 2025-02-01“…A 3D visualization underscores the influence of the mountain in directing cold air downslope, leading to stabilization and stratification within the lower atmospheric layers. …”
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CDKN1A as a target of senescence in heart failure: insights from a multiomics study
Published 2024-10-01“…The result is validated by Bayesian colocalization analysis, genetic variations, and bulk RNA data. …”
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House Prices and the Effectiveness of Monetary Policy in an Estimated DSGE Model of Morocco
Published 2025-03-01“…In this study, we aimed to assess the effectiveness of monetary policy in influencing housing prices in Morocco. Bayesian estimation over the period 2007Q2–2017Q2 of a dynamic stochastic general equilibrium model allowed us to reveal a significant impact of the increase in policy interest rates on the prices of residential goods. …”
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Visualizing the change of “viewpoints” in 3D virtual art exhibition
Published 2025-01-01“…Results from multiple statistical analyses, including hierarchical Bayesian analysis, indicated differences in view-angles and distances traveled while viewing the artworks under different experimental conditions (where different instructions were given prior to viewing). …”
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ANALYZING SOCIAL MEDIA SENTIMENT TOWARD SPECIFIC COMMODITIES FOR FORECASTING PRICE MOVEMENTS IN COMMODITY MARKETS
Published 2025-01-01“…Results indicate that social media sentiment significantly influences commodity prices, with particular variations based on commodity type and geographical context. …”
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Automated interpretation of deep learning-based water quality assessment system for enhanced environmental management decisions
Published 2025-04-01“…Methodologically, the study used CNN algorithms optimised by Bayesian techniques for the prediction of eight water quality indices, coupled with SHAPley Additive exPlanations (SHAP) analysis under XAI to interpret the complex decision-making processes of these models. …”
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Geomorphological and Geological Characteristics Slope Unit: Advancing Township-Scale Landslide Susceptibility Assessment Strategies
Published 2025-02-01“…The SHAP model is then used to examine the influence of key disaster-inducing and individual factors on landslide occurrence.…”
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Pottery, language and iron
Published 2025-03-01“…The study explores typological and chronological variations, connections with other pottery types, influences from Textile Ware, and links to proto-languages. …”
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