Results 141 to 150 of about 1,378,752 (293)
Farmers' Preferences for Gene Editing Crops and Influencing Factors
ABSTRACT Gene editing (GE) is gaining momentum worldwide, but limited data on UK farmers' preferences hinders our understanding of its potential impact amid deregulation debates. Based on a survey of 200 English arable farmers, we employ a Latent Class Analysis and Multinomial Logit regressions to investigate current preferences for GE crops.
Bertolozzi‐Caredio Daniele +1 more
wiley +1 more source
ABSTRACT Using survey and discrete choice experiment data, we examined US specialty crop growers' preferences for marketing contract attributes in the context of emerging blockchain‐based technologies and expanding traceability initiatives. Results show that farmers preferred traditional written contracts but might be willing to accept digital ...
Elizabeth Canales +3 more
wiley +1 more source
REGISTER ALLOCATION FOR UNARY-BINARY TREES*
. We study the number of registers required for evaluating arithmetic expressions formed with any set of unary and binary operators. Our approach consists in a singularity analysis of intervening generating functions combined with a use of (complex ...
P. Flajoleti, H. Prodinger
core
Learning regime‐dependent governing equations: A symbolic decision tree approach
Abstract Many chemical engineering systems are governed by mechanisms that switch across operating regimes, making the data‐driven discovery of regime‐dependent governing equations essential for predictive modeling, optimization, and control. We propose symbolic decision trees for the data‐driven discovery of regime‐dependent governing equations.
Ilias Mitrai +2 more
wiley +1 more source
On a Decomposition of the Bicomplex of Planar Binary Trees
In this talk, we will introduce some simplicial properties of the set ofplanar binary trees and a decomposition of the bicomplex into verticaltowers given Frabetti [1].Keywords: Binary tree, simplicial set, bicomplexReferences[1] Frabetti, A., Simplicial
Gürbüzer, Sabri Kaan, Akyar, Bedia
core +1 more source
Nearly Optimal Binary Search Trees
Summary We discuss two simple strategies for constructing binary search trees: Place the most frequently occurring name at the root of the tree, then proceed similary on the subtrees and choose the root so as to equalize the total weight of the left ...
Mehlhorn, K.
core
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
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
Binary trees for dissimilarity data
Binary segmentation procedures (in particular, classification and regression trees) are extended to study the relation between dissimilarity data and a set of explanatory variables.
Piccarreta, Raffaella
core
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin +2 more
wiley +1 more source

