Results 61 to 70 of about 213 (123)

Microbial Diversity Estimation and Hill Number Calculation Using the Hierarchical Pitman‐Yor Process

open access: yesStatistics in Medicine, Volume 45, Issue 18-19, August 2026.
ABSTRACT Background The human microbiome comprises the microorganisms that inhabit the various locales of the human body and plays a vital role in human health. The composition of a microbial population is often quantified through measures of species diversity, which summarize the number of species along with their relative abundances into a single ...
Kevin McGregor   +5 more
wiley   +1 more source

Consumption in Asset Returns

open access: yesThe Journal of Finance, Volume 81, Issue 4, Page 2271-2330, August 2026.
ABSTRACT Using information in returns, we identify the stochastic process of consumption. We find that aggregate consumption reacts over multiple quarters to innovations spanned by financial markets. This persistent component accounts for over a quarter of consumption variation. These shocks command a large and significant risk premium, driving a large
SVETLANA BRYZGALOVA   +2 more
wiley   +1 more source

Mitigating Black Pod Disease in Cocoa Plants: An Optimal Control and Cost‐Effectiveness Analysis

open access: yesNatural Resource Modeling, Volume 39, Issue 3, August 2026.
ABSTRACT Black pod disease (BPD), caused by Phytophthora species, continues to pose a significant threat to cocoa production, particularly in tropical regions where cocoa farming is a major economic activity. This study develops a deterministic compartmental model to understand the transmission dynamics of BPD and evaluate the impact of multiple ...
Bernard Asamoah Afful
wiley   +1 more source

Neural‐Initialized Newton: Accelerating Nonlinear Finite Elements via Operator Learning

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 14, 30 July 2026.
ABSTRACT We propose a Newton‐based scheme, initialized by neural operator predictions, to accelerate the parametric solution of nonlinear problems in computational solid mechanics. First, a physics‐informed neural operator based on conditional neural fields or Fourier neural operators is trained to approximate the nonlinear parametric solution of the ...
Kianoosh Taghikhani   +5 more
wiley   +1 more source

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