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Exploring the assessment of post-cardiac valve surgery pulmonary complication risks through the integration of wearable continuous physiological and clinical data
Published 2025-01-01“…Feature selection was conducted using Recursive Feature Elimination with Cross-Validated (RFECV) for each model, yielding an optimal feature subset for each, followed by a grid search to tune hyperparameters. Stratified 5-fold cross-validation was used to evaluate the generalization performance. …”
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11625
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Quantifying uncertainties in satellite NO<sub>2</sub> superobservations for data assimilation and model evaluation
Published 2025-01-01“…Often the modelling system has a lower spatial resolution than the satellites used, with a model grid size in the range of 10–100 km. When the resolution mismatch is not properly bridged, the final analysis based on the satellite data may be degraded. …”
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11627
Prototype Instrumentation for the Spatial and Temporal Characterisation of Voltage Supply Based on Two-Dimensional Higher-Order Statistics
Published 2025-01-01“…Beyond the second-order parameters and permissible deviations regulated by the norm, EN 50160, the two-dimensional traces and probability density functions, along with a previously studied differential index, manage to identify different states of the electrical grid. Waveforms were measured in the wall plugs of a public building. …”
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11628
From α-to β-diversity: Understanding the historical, present, and future diversity patterns of Fagaceae in Southwestern China
Published 2025-01-01“…We modeled the α-diversity via stacking prediction using an individual species distribution model at 50 km × 50 km grid cells. We used Sørensen dissimilarity to quantify total β-diversity and its components - turnover (βSIM) and nestedness (βNES). …”
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11629
Evaluation of Non-Invasive Hemoglobin Monitoring in Perioperative Patients: A Retrospective Study of the Rad-67<sup>TM</sup> (Masimo)
Published 2025-01-01“…Modified Clark’s Error Grid analysis showed 85.4% of values fell within clinically acceptable limits. …”
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11630
Radiogenomics and machine learning predict oncogenic signaling pathways in glioblastoma
Published 2025-01-01“…Five ML models were trained to predict signaling pathways, with Grid Search optimizing hyperparameters and 5-fold cross-validation ensuring unbiased performance. …”
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11631
Quantifying the potential of using Soil Moisture Active Passive (SMAP) soil moisture variability to predict subsurface water dynamics
Published 2025-01-01“…This study compares the SSM variability captured by the Soil Moisture Active and Passive (SMAP) satellite and the Soil Water Index (SWI) derived from SMAP SSM with subsurface SM and groundwater (GW) dynamics simulated by a high-resolution fully integrated surface water–groundwater model over an agriculturally dominated watershed in eastern Canada across two spatial scales, namely SMAP product grid (9 km) and watershed (<span class="inline-formula">∼4000</span> km<span class="inline-formula"><sup>2</sup></span>). …”
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11632
Computational analysis of reproducibility and image quality of 2011 and 2017 models of Heidelberg Spectralis SD-OCT machines
Published 2025-04-01“…Methods and testing: TRT measurements were performed using the Posterior Pole Algorithm (PPA) and Early Treatment Diabetic Retinopathy Study (ETDRS) grid protocols. Reproducibility was evaluated using Average Pairwise Pearson Correlation (APPC), while image quality was measured by Signal-to-Noise Ratio (SNR) and Contrast-to-Noise Ratio (CNR). …”
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Balancing water saving, market attractiveness, and pollution control in crop spatial planting structure planning of arid regions
Published 2025-03-01“…Results indicate that: (1) The grid-based 0–1 integer multi-objective approach can effectively make tradeoff among market attractiveness, pollution control, and crop suitability for crop planting structure planning in arid regions. (2) Optimal crop planting structure can increase agricultural planting profits by 4.679 billion CNY, while reduces system agricultural non-point source pollution and total water allocation by 34.72 % and 10.19 %, respectively. (3) The multi-objective approach shows better performance than single-objective models by comparing the Synthetic Degree (SD), Sustainability Index (SI), and Approximation Degree (AD). …”
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An efficient method for predicting the morphology of proppant packs based on a surrogate model
Published 2025-03-01“…The former model enabled predictions of the distribution of proppant concentrations within the fracture at different times, whereas the latter allowed estimation of how the stacking heights of proppants varied with the injection rate. Furthermore, the grid precisions of the prediction models were optimized to enhance their accuracy and performance. …”
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Construction of a Compound Model to Enhance the Accuracy of Hepatic Fat Fraction Estimation with Quantitative Ultrasound
Published 2025-01-01“…We searched a QUS parameter grid to find the optimal thresholds (AC ≥ 0.84 dB/cm/MHz, BSC-D ≥ 105), above which switching from a linear (r = 0.752, ICC = 0.715) to a nonlinear multivariable (r = 0.719, ICC = 0.641) model could improve the overall fit (r = 0.775, ICC = 0.718). …”
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On the feasibility of monitoring the content of phenolic compounds in transformer oil
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Diagnostic value of macular blood flow in normal tension glaucoma
Published 2023-11-01“…All patients underwent OCTA by measuring vascular density (VD, %) using the ETDRS grid (central Fovea and Parafovea) and retinal thick-ness using the Angio Retina 3.0 protocol of the Optovue XR Avanti with the AngioVue function (Optovue, USA). …”
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Computational analysis of Newtonian fluid in a 2-D square cavity with kinetic energy, enstrophy, and palinstrophy in the presence of bottom corner obstacle
Published 2025-01-01“…In this study, we numerically investigate steady, two-dimensional Newtonian fluid flow within a square cavity featuring a lid-driven motion at Reynolds number Re = 100 by solving governing equations with the Fractional Step Method on a staggered grid in the Finite Volume framework, providing high-resolution streamline plots and vorticity contours. …”
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Retrieving the atmospheric concentrations of carbon dioxide and methane from the European Copernicus CO2M satellite mission using artificial neural networks
Published 2025-01-01“…Since CO2M will not be launched until 2026, our study exploits simulated measurements over land surfaces from a comprehensive observing system simulation experiment (OSSE) that includes realistic meteorology, aerosols, surface bidirectional reflectance distribution function (BRDF), solar-induced chlorophyll fluorescence (SIF), and CO<span class="inline-formula"><sub>2</sub></span> and CH<span class="inline-formula"><sub>4</sub></span> concentrations. We created a novel hybrid learning approach that combines advantages of simulation-based and measurement-based training data to ensure coverage of a wide range of XCO<span class="inline-formula"><sub>2</sub></span> and XCH<span class="inline-formula"><sub>4</sub></span> values, making the training data representative of future concentrations as well. …”
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