Results 111 to 120 of about 101,541 (316)
Change in multidimensional problems and quality of life over three months after HIV diagnosis: a multicentre longitudinal study in Kenya and Uganda. [PDF]
BMC Infect Dis, 2019 Simms V +6 more
europepmc +1 more source
Adaptation of cheapest shop seeker algorithm for multidimensional knapsack problem
, 2018 Peter Bamidele Shola +1 more
openalex +1 more source
Erratum to: Assessing sensitivity in a multidimensional space: Some problems and a definition of a generald’ [PDF]
, 1999 Robin D. Thomas
openalex +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Two problems in multidimensional prediction theory.
Michigan Mathematical Journal, 1992 Given a positive Borel measure \(\mu\) on the \(n\)-dimensional torus \(T^ n\) and a vector \(x_ 0\in{\mathbf R}^ n\) such that the set \(\{k\in{\mathbf Z}^ n, \langle x_ 0,k\rangle=0\}\neq\{0\}\), the problem of finding an explicit expression in terms of \(\mu\) for the quantity \(\inf_ P\int_{T^ n}| 1+P(\theta)|^ 2d\mu(\theta)\), is considered. Here,
openaire +2 more sources
Advancements in Graphdiyne‐Based Multiscale Catalysts for Green Hydrogen Energy Conversion
Advanced Intelligent Discovery, EarlyView.This review systematically explores the fundamental characteristics of graphdiyne (GDY), cutting‐edge field of GDY‐based multiscale catalysts within sustainable energy conversion systems.Special emphasis is placed on the structure‒property relationships in different reactions.
Qian Xiao, Lu Qi, Siao Chen, Yurui Xue
wiley +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
IEEE AccessComplex optimization problems, especially those encountered in real-life scenarios, pose significant challenges due to their multifaceted nature and the involvement of numerous variables.
Ravneil Nand +2 more
doaj +1 more source
Multidimensional two-phase quasistationary stefan problem
Manuscripta Mathematica, 1993 An analysis is being made of a two-dimensional quasi-stationary Stefan problem which is considered as a model problem for the process of crystallization of an infnite ingot moving with a constant velocity with respect to a stationary heat source.
openaire +2 more sources
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source