Results 91 to 100 of about 15,233,893 (167)
Graph Neural Network‐Guided and Interpretable Discovery of Supercapacitor Electrode Materials
A graph neural network framework combines MEGNet and attention‐enhanced MAGNET to screen over 22 000 DFT‐derived crystal structures for supercapacitor electrodes. It uses formation energy, stability, and band‐gap filtering with Pareto scoring, Monte Carlo Dropout uncertainty, and capacitance classifiers, achieving 90% agreement with cross‐validation ...
Jeffin Kurian Mathews +4 more
wiley +1 more source
Asymptotic Normality and Convergence Rates for Tsallis Entropy Estimators via Stabilization Techniques. [PDF]
Çadırcı MS, Singull M.
europepmc +1 more source
Benchmarking Statistical Methods for Environmental Chemical Mixtures: Prediction, Interaction Detection, and an Applied Analysis of Metals, Essential Elements and Diabetes. [PDF]
Adetunji AG, Obeng-Gyasi E.
europepmc +1 more source
Markov Chain Monte Carlo Technology [PDF]
In the past fifteen years computational statistics has been enriched by a powerful, somewhat abstract method of generating variates from a target probability distribution that is based on Markov chains whose stationary distribution is the probability ...
Chib, Siddhartha
core
Knowledge of Blood‐Borne Infections Among Secondary School Students in Riyadh, Saudi Arabia
ABSTRACT Background Blood‐borne infections remain a major global public health concern. Adolescents may encounter preventable exposure risks, making adequate knowledge of transmission and prevention important. This study assessed knowledge of blood‐borne infections and associated sociodemographic factors and explored the association between previous ...
Fatimah Alabdulkareem +2 more
wiley +1 more source
ABSTRACT Purpose To develop a slice‐wise blurring‐free and densely sampled TE‐resolved multiple‐TE (mTE) ASL sequence (TASL) for measuring blood–brain barrier (BBB) water exchange time. Methods A 3D TSE spiral‐readout pCASL sequence was modified to enable TE‐resolved acquisition.
Bo Li +11 more
wiley +1 more source
Quasi-Monte Carlo Methods for Option Pricing
本篇論文主旨在於評估類蒙地卡羅法。傳統蒙地卡羅法已經被證明是估計封閉解不存在的資產價格的一件有價值的工具;而類蒙特卡羅法保留了傳統蒙地卡羅法的彈性,更增加了模擬速度快與收斂速度快的特性。 本篇論文比較此發法應用於3種類選擇權定價問題︰歐式選擇權,彩虹選擇權和亞式選擇權。Monte Carlo simulation has proved to be a valuable tool for estimating security prices for which closed form solutions ...
Chen, Yi-Ting, 陳宜廷
core
ABSTRACT Aims Purpose: Dictionary matching is a standard tool in quantitative MRI (qMRI), but typically lacks uncertainty quantification (UQ). This is critical when advanced reconstructions (e.g., compressed sensing, deep learning) introduce complex‐valued, spatially varying, and temporally correlated noise that violates standard assumptions of ...
Brian Toner +7 more
wiley +1 more source
Inverse-Probability-Weighted Kernel Estimation of Regression Derivatives Under Missing-at-Random Responses for Stationary Ergodic Processes. [PDF]
Bouzebda S, Didi S.
europepmc +1 more source
ABSTRACT Caring for infants experiencing or at risk of substance withdrawal often increases nursing workload and may contribute to missed nursing care (MNC). This study examined the relationship between infants' substance withdrawal status and the occurrence of MNC in neonatal intensive care units (NICUs). We conducted a secondary analysis of data from
Sooyoung Kim +4 more
wiley +1 more source

