Results 211 to 220 of about 319,661 (327)
ANALYSIS OF LONGITUDINAL ORDERED POLYTOMOUS DATA USING GENERALIZED ESTIMATING EQUATIONS
Eiji Nakashima
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Quantifying Spin Defect Density in hBN via Raman and Photoluminescence Analysis
An all‐optical method is presented for quantifying the density of boron vacancy spin defects in hexagonal boron nitride (hBN). By correlating Raman and photoluminescence signals with irradiation fluence, defect‐induced Raman modes are identified and established an relationship linking optical signatures to absolute defect densities. This enables direct
Atanu Patra +8 more
wiley +1 more source
Covariance estimators for generalized estimating equations (GEE) in longitudinal analysis with small samples. [PDF]
Wang M, Kong L, Li Z, Zhang L.
europepmc +1 more source
Using generalized estimating equations to estimate nonlinear models with spatial data
Ning Wang +4 more
openalex +1 more source
swgee: Simulation Extrapolation Inverse Probability Weighted Generalized Estimating Equations [PDF]
Juan Xiong
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The study proposes a 1‐bit programmable metasurface based on flip‐disc display, named flip‐disc metasurface (FD‐MTS). This new design enables ultralow energy consumption while maintaining coding patterns. It also exhibits high scalability and multifunctional flexibility.
Jiang Han Bao +8 more
wiley +1 more source
Improving power in small-sample longitudinal studies when using generalized estimating equations. [PDF]
Westgate PM, Burchett WW.
europepmc +1 more source
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu +3 more
wiley +1 more source
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source

