Results 131 to 140 of about 12,261,514 (349)
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
The multidimensional truncated moment problem: Carathéodory numbers [PDF]
, 2017 Philipp J. di Dio, Konrad Schmüdgen
openalex +1 more source
The Multidimensional Prediction Problem [PDF]
Proceedings of the National Academy of Sciences, 1957 openaire +4 more sources
Advanced Intelligent Discovery, EarlyView.To integrate surface analysis into materials discovery workflows, Gaussian process regression is used to accurately predict surface compositions from rapidly acquired volume composition data (obtained by energy‐dispersive X‐ray spectroscopy), drastically reducing the number of required surface measurements on thin‐film materials libraries.
Felix Thelen +2 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
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
Advanced Intelligent Discovery, EarlyView.The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +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
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
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