Results 141 to 150 of about 20,582 (244)

Value of Information of Improved Traceability in Fresh Produce Markets

Agribusiness, EarlyView.
ABSTRACT Traceability plays an important role in promoting a safe food supply by fostering transparent information exchange along the food supply chain. New technological innovations have the potential to improve traceability outcomes, as greater transparency along the food supply chain can aid in pinpointing precise origins of the contamination ...
Kelsey Vourazeris, Mark R. Manfredo, Michael N. Kozicki   +2 more
wiley   +1 more source

Genomic early growth mechanisms of two endangered Mexican spruces. [PDF]

BMC Plant Biol
Segura-Sanchez CA, Hernández-Velasco J, Chano V, Mendoza-Maya E, Villanueva-Díaz J, López-Serrano PM, Wehenkel C.   +6 more
europepmc   +1 more source

pyDMS: A Python package for the determination of physics‐informed dual‐mode sorption (DMS) parameters

AIChE Journal, EarlyView.
Abstract Sorption in glassy polymer membranes is commonly modeled with the dual‐mode sorption (DMS) model. Fitting the DMS model to sorption isotherms presents challenges, as multiple parameter sets may prove satisfactory. This work presents pyDMS, an open‐source Python package for the computation of DMS parameters obtained via a physics‐informed ...
Brandon C. Tapia, Pablo A. Dean, Jing Ying Yeo, Albert X. Wu, Zachary P. Smith   +4 more
wiley   +1 more source

Energy Consumption and Carbon Emission Prediction of District Heating System in Residential Communities Based on SSA-LSTM Model. [PDF]

Sensors (Basel)
Zhao B, Xu L, Zheng Z, Wu Y, Yuan T.
europepmc   +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, Christian Mark Pelicano   +1 more
wiley   +1 more source

Establishment Reference Intervals Using the Kosmic Algorithm for Hemoglobin Levels and Platelet, Red Blood Cell, and White Blood Cell Counts. [PDF]

J Clin Lab Anal
Liu C, Deng Z, Song Y, Wu W, Li Y, Yang F, Liu H, Zhang X.   +7 more
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Surrogate modeling based on computational fluid dynamics for predicting the capsizing moment in a coupled shiplift system. [PDF]

PLoS One
Tang T, Yang J, Hu Z, You J, Zhang Y, Shi D.   +5 more
europepmc   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

A Novel Peak-Shape Aware Approach for Mass Alignment in Mass Spectrometry. [PDF]

Rapid Commun Mass Spectrom
Vanhemel T, Nijs M, Birmpili A, Hendriks TFE, Cuypers E, De Moor B.   +5 more
europepmc   +1 more source