Results 91 to 100 of about 24,065 (262)
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Analysis of School Absenteeism for Single- vs. Two-Parent Families: A Finite Mixture Roy Approach
This paper analyzes factors affecting school absenteeism due to an injury or illness among the US school student population between 6 and 15 years of age.
Murat K. Munkin, David Zimmer
doaj +1 more source
When a master transcription factor (TF) is lost, bacteria can rapidly rewire gene regulatory networks by co‐opting related regulators. Using experimental evolution in Pseudomonas fluorescens, we show that TF promiscuity (low‐level, non‐cognate binding) provides the raw material for rewiring. Successful co‐option follows a predictable hierarchy governed
Tiffany B. Taylor, Alan M. Rice
wiley +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Personalized Network‐Guided Neuromodulation Enhances Human Working Memory
A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan +13 more
wiley +1 more source
Determinantal Generalizations of Instrumental Variables
Linear structural equation models relate the components of a random vector using linear interdependencies and Gaussian noise. Each such model can be naturally associated with a mixed graph whose vertices correspond to the components of the random vector.
Weihs Luca +8 more
doaj +1 more source
A one‐step, asymmetric reductive coupling of alkynes and oxa‐ and aza‐bicyclic olefins using a cobalt/photoredox catalytic system through desymmetrization. ABSTRACT Bicyclo[2.2.1]heptane frameworks represent a privileged structural motif prevalent in numerous natural products and bioactive molecules.
Subhankar Pradhan +5 more
wiley +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
State estimation of a nonlinear stochastic pacemaker model
Mathematical modeling of cardiac activity is a crucial task for the advancement of modern medical devices. The paper addresses the problem of estimating the state of a nonlinear stochastic pacemaker model using incomplete and noisy data.
R. I. Rakhimova
doaj +1 more source

