Results 171 to 180 of about 6,728 (248)
Bayesian Model Averaging in Causal Instrumental Variable Models
ABSTRACT Instrumental variables are a popular tool to infer causal effects under unobserved confounding, but choosing suitable instruments is challenging in practice. We propose gIVBMA, a Bayesian model averaging procedure that addresses this challenge by averaging across different sets of instrumental variables and covariates in a structural equation ...
Gregor Steiner, Mark Steel
wiley +1 more source
A Post-Quantum Authentication and Key Agreement Protocol Based on Lattice-Based KEM for Secure Network Environments. [PDF]
Chen X, Wu W, Liang G, Tan H, Yu Y.
europepmc +1 more source
ABSTRACT Background Unintentional drowning is a leading cause of injury and death among children worldwide, and inadequate water safety education is a significant contributing factor. Innovative technologies such as virtual reality [VR] have the potential to teach children about safety and reduce the risk of accidental injury.
Allana Santiago +5 more
wiley +1 more source
Quantum Security of Nonce-Based Encryption. [PDF]
Mao S, Wang P, Jia Y, Liu G, Liu B.
europepmc +1 more source
Abstract Mountain social–ecological systems encompass steep ecological gradients and diverse cultural practices, yet the relative roles of these factors in shaping mountain landscapes remain underexplored. In particular, the knowledge and practices of women in coproducing biocultural landscapes are often invisible in the academic literature. In the Ait
Meryem Aakairi +6 more
wiley +1 more source
Steering Protein Generative Models at Test-Time for Guided AAV2 Capsid Design. [PDF]
Viggiano B +6 more
europepmc +1 more source
Applications and limitations of AI tools in enzyme design
Abstract Enzymes catalyze various different chemical reactions often with high efficiency and selectivity compared to synthetic catalysts. Advances in protein engineering over the past decades have allowed researchers to design enzymes, improving their catalytic performance and adapting them for specific or entirely novel chemical reactions.
Rosa Teijeiro‐Juiz +6 more
wiley +1 more source
Variance-Guided Regression for Heteroscedastic Data With a Grouping-Based Extension for Nonlinear Prediction. [PDF]
Liu S, Lu M.
europepmc +1 more source
Abstract The accurate prediction of antibody–antigen (AbAg) complexes is a key challenge for computational immunology, with applications in therapeutic antibody design and diagnostics. Current deep learning methods have the potential to generate high‐confidence AbAg structures.
Joakim Nøddeskov Clifford +1 more
wiley +1 more source
A multi-authority attribute ring signature supporting dynamic policies and dual anonymity for zero-trust networks. [PDF]
Chen J, Zhou X, Fu W, Mao Y, Wang J.
europepmc +1 more source

