Results 141 to 150 of about 1,378,752 (293)

Farmers' Preferences for Gene Editing Crops and Influencing Factors

open access: yesApplied Economic Perspectives and Policy, EarlyView.
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

Blockchain‐Based Smart Contracts in US Specialty Crop Marketing: Grower Preferences and Adoption Potential

open access: yesAgribusiness, EarlyView.
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*

open access: yes, 1986
. 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

open access: yesAIChE Journal, EarlyView.
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

open access: yes, 2019
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

open access: yes, 1975
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  

A computational study of Ising‐based solvers for discrete landscape exploration in process optimization

open access: yesAIChE 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

open access: yesAIChE 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

Binary trees for dissimilarity data

open access: yes
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  

Machine learning–driven design of catalytic processes for sulfur dioxide oxidation: Lessons from the trenches

open access: yesAIChE Journal, EarlyView.
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

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