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electron algorithm » selection algorithm (Expand Search), detection algorithm (Expand Search), detection algorithms (Expand Search)
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Data_Sheet_1_Parallel Implementation of Large-Scale Linear Scaling Density Functional Theory Calculations With Numerical Atomic Orbitals in HONPAS.PDF
Published 2020“…Therefore, sparse matrix multiplication is the most time-consuming step in the density matrix purification algorithm for linear-scaling DFT calculations. …”
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Local Second Order Mo̷ller-Plesset Theory with a Single Threshold Using Orthogonal Virtual Orbitals: A Distributed Memory Implementation
Published 2024“…In particular, the algorithm relies on a fixed sparsity pattern matrix multiplication and a corresponding distributed conjugate gradient solver, which exhibits almost linear scaling in both strong and weak scaling analyses. …”
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Acceleration of Semiempirical Electronic Structure Theory Calculations on Consumer-Grade GPUs Using Mixed-Precision Density Matrix Purification
Published 2025“…For semiempirical electronic structure methods, solving the Roothaan–Hall equations to determine the one-electron density matrix is generally the computational bottleneck. …”
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Introducing SpectraFit: An Open-Source Tool for Interactive Spectral Analysis
Published 2024“…We will show how to analyze the XAS spectra via CLI and in a Jupyter Notebook by simultaneously fitting multiple data sets using SpectraFit. Additionally, we will demonstrate how SpectraFit can be used as a black box and white box solution, allowing users to apply their own algorithms to engineer the data further. …”
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Optimized Cross-Linking Mass Spectrometry for in Situ Interaction Proteomics
Published 2019“…Recent development of mass spectrometer cleavable protein cross-linkers and algorithms for their spectral identification now permits large-scale cross-linking mass spectrometry (XL-MS). …”
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Household dust as a reservoir for environmentally persistent free radicals: a longitudinal study
Published 2025“…The ELLF cohort is a longitudinal birth cohort (<i>n</i> = 82) with house dust collected at multiple time points. EPFR characteristics were assessed with electron paramagnetic resonance, and oxygen-weighted concentration was estimated by an algorithm. …”
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Table_2_Effects of alcohol-related problems on the costs of frequent emergency department use: an economic analysis of a case–control study in Spain.pdf
Published 2024“…Clinical data and direct healthcare costs for a single ED visit were obtained by a retrospective review of the first electronic medical register. Costs and duration of stay were compared between cases and controls using paired-samples t-tests, and ED users with and without alcohol-related problems were compared using bivariate (independent-samples t-tests, one-way analysis of variance, Chi square tests, and multiple linear regression) and multivariate analyses (multiple linear regression models with backward stepwise selection algorithm, and dependent variable: total mean direct costs).…”
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Table_1_Effects of alcohol-related problems on the costs of frequent emergency department use: an economic analysis of a case–control study in Spain.pdf
Published 2024“…Clinical data and direct healthcare costs for a single ED visit were obtained by a retrospective review of the first electronic medical register. Costs and duration of stay were compared between cases and controls using paired-samples t-tests, and ED users with and without alcohol-related problems were compared using bivariate (independent-samples t-tests, one-way analysis of variance, Chi square tests, and multiple linear regression) and multivariate analyses (multiple linear regression models with backward stepwise selection algorithm, and dependent variable: total mean direct costs).…”
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Table_3_Effects of alcohol-related problems on the costs of frequent emergency department use: an economic analysis of a case–control study in Spain.pdf
Published 2024“…Clinical data and direct healthcare costs for a single ED visit were obtained by a retrospective review of the first electronic medical register. Costs and duration of stay were compared between cases and controls using paired-samples t-tests, and ED users with and without alcohol-related problems were compared using bivariate (independent-samples t-tests, one-way analysis of variance, Chi square tests, and multiple linear regression) and multivariate analyses (multiple linear regression models with backward stepwise selection algorithm, and dependent variable: total mean direct costs).…”
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2D QSAR studies on a series of (4<i>S</i>,5<i>R</i>)-5-[3,5-bis(trifluoromethyl)phenyl]-4-methyl-1,3-oxazolidin-2-one as CETP inhibitors
Published 2020“…In the present work, quantitative structure–activity relationship (QSAR) models have been developed to predict the therapeutic potency of 108 derivatives of (4<i>S</i>,5<i>R</i>)-5-[3,5-bis(trifluoromethyl)phenyl]−4-methyl-1,3-oxazolidin-2-one: Multiple Linear Regression (MLR), Support Vector Regression (SVR) and Feedforward Neural Network using Particle Swarm Optimization (FNN-PSO). …”