Agribusiness, EarlyView.ABSTRACT EU member states have exhibited varying rates of apple production growth. Technical efficiency (TE) estimation is suitable for identifying best‐practice farm performance. This study examined whether the development of the apple sector in Germany, Italy, and Poland was influenced by production efficiency, access to technology, as well as ...
Anika Muder, Jakub Staniszewski
wiley +1 more source
A comprehensive phylogenomic framework for cycads (Cycadales). [PDF]
PhytoKeysCalonje M, Clugston JAR, Coiro M.
europepmc +1 more source
Deforestation and Efficiency: Insights From Forest Transition in the Brazilian Cerrado
Agribusiness, EarlyView.ABSTRACT This paper estimates technical efficiency (TE) and environmental efficiency (EE) of agricultural production at the municipal level of the Brazilian Cerrado in 2006 and 2017, and investigates their underlying mechanisms in relation to forest transition theory.
Ricardo Muniz Simões +2 more
wiley +1 more source
Lifestyles of <i>Gypsy</i>-family transposons shape their regulatory mechanisms. [PDF]
Proc Natl Acad Sci U S APapameletiou AM +3 more
europepmc +1 more source
AIChE Journal, EarlyView.ABSTRACT Conceptual process design combines discrete configuration choices with continuous operating decisions, often yielding difficult mixed‐integer nonlinear or simulation‐based optimization problems. This work presents an exploratory computational assessment of Ising‐based solvers, simulated annealing, quantum annealing, and entropy computing, as ...
Yirang Park, David E. Bernal Neira
wiley +1 more source
Machine learning driven many‐objective moving horizon scheduling optimization
AIChE Journal, EarlyView.Abstract Industrial electrification can decarbonize chemical manufacturing, but it exposes operations to volatile electricity prices and carbon intensities. This work develops a machine learning‐enhanced many‐objective moving horizon scheduling framework that predicts objective correlation groupings from 48‐hour price and emission‐intensity profiles ...
Hongxuan Wang, Andrew Allman
wiley +1 more source
Comparison of an ensemble machine learning model to a Cox regression model to predict colorectal cancer risk among people with HIV using retrospective nationwide cohort data in Sweden: a study protocol. [PDF]
BMJ OpenNilsson J +13 more
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
Epidemiological and Molecular Surveillance of Multiresistant Citrobacter freundii Complex in a Tertiary Care Hospital: A Retrospective Cohort Study. [PDF]
J Infect DisFonton P +6 more
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 +1 more
wiley +1 more source