Results 41 to 50 of about 49,616 (309)
Machine‐learning potentials are increasingly taking on the exploratory tasks of homogeneous catalysis, enabling rapid conformer sampling and reaction‐space mapping. However, when selectivity depends on subtle electronic effects, electronic‐structure methods remain essential.
Maxime Ferrer +3 more
wiley +1 more source
Enhanced oracle bone corrosion detection using attention-guided YOLO with ghost convolution
Oracle bone inscriptions (OBIs), as the important records of early Chinese characters, possess profound cultural and historical significance. However, These fragments are susceptible to further damage due to corrosion.
Feng Gao +5 more
doaj +1 more source
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales +6 more
wiley +1 more source
Partial identification with categorical data and nonignorable missing outcomes
Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley +1 more source
Chronic Kidney Disease-Associated Pruritus Burden: A Patient Survey Study
Rationale & Objective: Chronic kidney disease-associated pruritus (CKD-aP) is a common, underrecognized condition in patients with chronic kidney disease (CKD), especially those receiving hemodialysis (HD).
Jeffrey Thompson +7 more
doaj +1 more source
Nonlinear permuted Granger causality
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley +1 more source
Efficient in-memory rebalancings for skewed results in distributed graph queries
Distributed graph queries offer the possibility of executing large-scale graph operations over massive datasets, thereby generating result sets that are distributed across clusters.
Ayoub Berdai +2 more
doaj +1 more source
We assessed the impact of respiratory syncytial virus (RSV) preventive characteristics on the intentions of pregnant people and healthcare providers (HCPs) to protect infants with a maternal vaccine or monoclonal antibodies (mAbs).
Kathleen M. Beusterien +10 more
doaj +1 more source
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stephen A. Fenner +3 more
openaire +1 more source
An overview of grain boundary engineering in the field of electrocatalysis. ABSTRACT Key electrocatalytic reactions such as HER, OER, ORR, CO2RR, and NRR offer promising routes for storing renewable energy as chemical fuels. However, their widespread application is constrained due to the lack of highly active and stable catalysts. Grain boundaries (GBs)
Jingyu Gao +8 more
wiley +1 more source

