Results 201 to 210 of about 7,587 (302)
Understanding Egg Price Volatility and Policy Implications in the U.S. With Machine Learning
ABSTRACT Eggs are an inexpensive and sustainable source of proteins, but volatility in the U.S. egg prices has intensified in recent years, raising concerns over food affordability and market stability. This study examines the drivers of U.S. egg price dynamics over 2004–2025 using a two‐stage framework that combines LASSO‐based variable selection with
Xuemei Zhao +3 more
wiley +1 more source
A benchmarking of genomic selection models for predicting grain-yield related traits using haplotype-based and genome-wide association study-based markers in rice. [PDF]
Hu X +8 more
europepmc +1 more source
Participation in transitions toward more sustainable protein consumption is driven primarily by sustainability motivation, whereas behavioural capability determines whether intentions translate into action. Despite high awareness among Chinese consumers, gaps persist, indicating that policies must jointly address motivational and practical barriers to ...
Zhihan Li, Toritseju Begho
wiley +1 more source
Optimizing genomic selection models for wheat breeding under contrasting water regimes in a mediterranean environment. [PDF]
Yannam VRR, Lopes MS, Soriano JM.
europepmc +1 more source
Abstract This study presents a coupled population balance model (PBM) for describing the degree‐of‐agglomeration (DoA) in crystallization by independently tracking total particle and agglomerate number densities. Applied to an industrial active pharmaceutical ingredient, the model outperformed bridge‐counting methods and accurately captured DoA trends ...
Yung‐Shun Kang +6 more
wiley +1 more source
Critical evaluation of the theory and practice of feed-forward neural networks for genomic prediction. [PDF]
Kusmec A, Negus KL, Yu J.
europepmc +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Scalable Bayesian Image-on-Scalar Regression for Population-Scale Neuroimaging Data Analysis. [PDF]
Xu Y, Johnson TD, Nichols TE, Kang J.
europepmc +1 more source
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali +5 more
wiley +1 more source
Compact Kernel/Neural Network Representation for Accurate, Fast, and Global Reactive Molecular Potential Energy Surfaces. [PDF]
Käser S, Koner D, Meuwly M.
europepmc +1 more source

