Asymmetric interactions between different species of molecules have previously been demonstrated to result in self-organized patterns and functions. If one species A is attracted to B, but in turn, B ...

Abstract: For a relatively small labeled dataset from high-dimensional generalized linear models with block-wise missing covariates and a large unlabeled dataset, we utilize a model-assisted approach ...

Objective: Childhood morbidities are crucial for improving long-term public health outcomes. This study aimed to examine the existence of child-specific and regional variation in childhood morbidity ...

Porous materials have widespread applications in gas storage, pollutant adsorption, catalytic reactions, and energy materials due to their unique pore structures. (1) When characterizing the ...

Moonvalley, an AI research company that says it is developing “ethical” foundational AI video models trained exclusively on licensed content, announced $84 million in additional funding led by ...

U.S. stocks traded mixed this morning, with the Nasdaq Composite gaining more than 50 points on Wednesday. Following the market opening Wednesday, the Dow traded down 0.12% to 43,036.30 while the ...

State Key Laboratory of Cryogenic Science and Technology, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing 100190, China University of Chinese Academy of Sciences, ...

Major, Lindsey & Africa’s Eskor Edem and Jerry Temko share how general counsel’s increasing responsibilities have prompted them to start assuming multiple C-suite roles. Organizations traditionally ...

Abstract: Phylogenetic Comparative Methods (PCMs) offer a critical approach to analyzing species traits by accounting for evolutionary relationships. Traditionally, these models incorporate ...

ABSTRACT: DNA microarray technology is an extremely effective technique for studying gene expression patterns in cells, and the main challenge currently faced by this technology is how to analyze the ...

Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...