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Swelling reduction in bentonite due to saline solutions via fractal modeling
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A proposed deep learning model for multichannel ECG noise reduction
Published 2025-05-01“…This article proposed a novel deep learning-based solution for multichannel ECG noise reduction, through utilizing the capabilities of fully convolutional neural network along with the Jacobin regularization to ensure confining and preserving local information. …”
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Drag Reduction in Compressible Channel Turbulence with Periodic Interval Blowing and Suction
Published 2025-06-01“…The numerical results indicate that augmenting the blowing/suction intensity will alter the velocity gradient of the viscous sublayer in the controlled region. Nonetheless, a reduction in the area of the controlled region diminishes the impact of blowing/suction on drag reduction on the entire wall. …”
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Evaluating the predictive power of combined gene expression dynamics from single cells on antibiotic survival
Published 2025-06-01“…We developed a Bayesian inference model to predict how the combination of dual reporter expression levels and growth rate impacts ciprofloxacin survival in Escherichia coli. …”
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Relationship Between 8-iso-prostaglandin-F<sub>2α</sub> and Predicted 10-Year Cardiovascular Risk in Hypertensive Patients
Published 2025-03-01“…The aim of this study was to assess the relationship between 8-iso-PGF<sub>2α</sub> and 10-year CV risk, as predicted by validated equations in hypertension patients without CV diseases. …”
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Classification Prediction of Rockburst in Railway Tunnel Based on Hybrid PSO-BP Neural Network
Published 2022-01-01“…In order to accurately predict the rockburst intensity level of the railway tunnel, the rock stress coefficient σθ/σc, rock brittleness coefficient σc/σt, and elastic energy index Wet are used as evaluation indexes of rockburst intensity, and a BP neural network rockburst prediction model based on hybrid particle swarm optimization algorithm is proposed. …”
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Niacin mitigates heat stress-induced reduction in performance of Taihe black-boned silky fowl through modulation of gut microorganisms and short-chain fatty acids
Published 2025-06-01“…Furthermore, the NA-supplemented group exhibited a significant rise in the enrichment of Olivibacter and Flintibacter (p < 0.05) and a marked reduction in the enrichment of Proteobacteria (p < 0.05). …”
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Study on the Prediction of the Height of Two Zones in the Overlying Strata under a Strong Shock
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Biomarker panels for improved risk prediction and enhanced biological insights in patients with atrial fibrillation
Published 2025-07-01“…We identify 5 biomarkers including D-dimer, growth differentiation factor 15 (GDF-15), interleukin-6 (IL-6), N-terminal pro-B-type natriuretic peptide (NT-proBNP), and high-sensitivity troponin T (hsTropT) that independently predict cardiovascular death, stroke, myocardial infarction, and systemic embolism, significantly enhancing predictive accuracy. …”
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Prediction method of surface deformation around soft base dump based on viscoelastic theory
Published 2025-06-01“…A series of quantitative data is obtained through calculations and predictions of surface deformation on layered viscoelastic substrates under pile load actions in the discharging yard. …”
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Optimizing corn yield prediction: Integrating multi-temporal UAS data and machine learning
Published 2025-12-01“…The integration of VNIR and LWIR imagery improves yield prediction accuracy, particularly in water-stressed conditions, highlighting the importance of advanced sensing technologies and complex models such as RF and GB. …”
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Multi‐trait multi‐environment genomic prediction of preliminary yield trial in pulse crop
Published 2024-09-01“…Multi‐trait multi‐environment enabled genomic prediction (MTME‐GP) offers a valuable alternative to predict missing phenotypes of selection candidates for multiple traits and diverse environments. …”
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Advancements in predicting soil liquefaction susceptibility: a comprehensive analysis of ensemble and deep learning approaches
Published 2025-07-01“…The BI-LSTM model has the highest accuracy, with 0.9791 in training and 0.8889 in testing, indicating strong predictive ability and good generalizability. LSTM follows closely with training and testing accuracies of 0.9433 and 0.8750, respectively, offering consistent performance. …”
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Does diminished ovarian reserve impact oxidation–reduction potential in follicular fluid?
Published 2025-06-01“…Objective This study aimed to evaluate oxidative stress in follicular fluid by measuring oxidation–reduction potential and determine its correlation with embryo quality in patients with diminished ovarian reserve. …”
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Impact of the hyperbaric oxygen therapy on the redox status in patients with systemic lupus erythematosus
Published 2019-01-01Subjects: Get full text
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The Impact of Green Tea Consumption and Its Extracts on Fat Reduction and Weight Loss
Published 2024-11-01“…Green tea has been a focus of research on its effects on weight reduction for many years. This article will analyse the available studies on the effectiveness of green tea on body weight and body fat reduction in obese and overweight people. …”
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Feasibility and effectiveness of the mindfulness-based stress reduction programs on relieving burnout of healthcare providers during the COVID-19 pandemic: a pilot randomized controlled trial in China
Published 2024-11-01“…The aim of the study was to examine the feasibility and effectiveness of the mindfulness-based stress reduction (MBSR) program on relieving burnout of healthcare providers during the pandemic. …”
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Comparison of hemodynamic effects and negative predictive value of normal adenosine gated myocardial perfusion scan with or without caffeine abstinence
Published 2016-07-01“…The aim of this study was to compare the hemodynamic changes and negative predictive value (NPV) of normal MPIs with adenosine stress performed with or without caffeine abstinence. …”
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