Machine Learning-Enhanced Quantitative Structure-Activity Relationship Modeling for DNA Polymerase Inhibitor Discovery: Algorithm Development and Validation. [PDF]
Kakraba S +5 more
europepmc +1 more source
ABSTRACT Individual growth models are important in fisheries of natural populations and can be incorporated in production models to estimate their maximum sustainable yield. Blue crab species, Callinectes sapidus and Callinectes rathbunae were obtained in the Mecoacán lagoon, Paraíso, Tabasco Mexico by “nasa” and “yahual” nets. Biometric values such as
Candelario Jiménez‐Olivares +5 more
wiley +1 more source
Adaptive Pruning for Increased Robustness and Reduced Computational Overhead in Gaussian Process Accelerated Saddle Point Searches. [PDF]
Goswami R, Jónsson H.
europepmc +1 more source
Gender Pay Disclosure and Firm Performance: Quasi‐Experimental Evidence From the United Kingdom
ABSTRACT This paper investigates the impact of pay transparency on firm performance, measured as sales growth, in a large sample of UK‐registered companies between 2005 and 2023. We employ a difference‐in‐difference approach based on the pay transparency regulation enacted in 2017, which mandated all companies registered in the United Kingdom with at ...
Hildebrando Pahula, Charles Ambilichu
wiley +1 more source
Cave reservoir characterization method driven by GA-KPCA and geological knowledge. [PDF]
Ren W, Chen H, Wang R, Zhang T, Li L.
europepmc +1 more source
A Bayes factor framework for unified parameter estimation and hypothesis testing
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley +1 more source
Design of a hybrid AI network circuit for epilepsy detection with 97.5% accuracy and low cost-latency. [PDF]
Sheng L +7 more
europepmc +1 more source
Hierarchical Differentiable Fluid Simulation
We introduce a two‐step algorithm that significantly reduces memory usage for solving control problems using differentiable fluid simulation techniques: our method first optimizes for bulk forces at reduced resolution, then refines local details over sub‐domains while maintaining differentiability. In trading runtime for memory, it enables optimization
Xiangyu Kong +4 more
wiley +1 more source
Adaptive Sampling for BRDF Acquisition
We propose a data‐driven adaptive sampling strategy that predicts the optimal sampling pattern and count for BRDF acquisition from a single image, reducing capture time while preserving quality. Abstract The bidirectional reflectance distribution function (BRDF) describes the ratio of incoming radiance to outgoing radiance for all possible pairs of ...
Behnaz Kavoosighafi +3 more
wiley +1 more source
Hyperbolic Kernel Graph Neural Networks for Neurocognitive Decline Analysis From Multimodal Brain Imaging. [PDF]
Yang M +5 more
europepmc +1 more source

