Results 91 to 100 of about 6,446,441 (278)

Economic Impact of Sustainability in Wine Sector: A Systematic Literature Review

Agribusiness, EarlyView.
ABSTRACT Sustainability has become a key issue in the wine sector, raising questions about its compatibility with firms' economic performance. Despite growing attention to environmental and social practices, evidence on their economic implications remains fragmented.
Valentina Di Chiara, Eugenio Pomarici, Leonardo Cei   +2 more
wiley   +1 more source

Genetic evaluations in cattle using the single-step genomic best linear unbiased predicto

, 2020
Conventional genetic evaluations have been framed on estimated breeding values from equation systems of mixed models that consider simultaneously random and fixed effects. Recently, the development in genome sequencing technologies has allowed obtaining genomic information to include in genetic evaluations in order to increase the accuracy and genetic ...
Martínez Amaya, Alejandro, Sarmiento Martínez, Rodrigo, Cerón Muñoz, Mario Fernando   +2 more
openaire   +2 more sources

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

AIChE 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, Jules Thibault, Clémence Fauteux‐Lefebvre   +2 more
wiley   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

ABOUT THE BEST LINEAR UNBIASED PREDICTOR (BLUP) AND ASSOCIATED RESTRICTIONS SOBRE LA CONSTRUCCIÓN DEL MEJOR PREDICTOR LINEAL INSESGADO (BLUP) Y RESTRICCIONES ASOCIADAS

Revista Colombiana de Estadística, 2007
The mixed linear model is characterized using the classic linear model of Gauss-Markov. The multipliers of Lagrange are a tool to obtain the best lineal predictors (BLUP), we shown the results of Searle (1997), where some sums of the best linear unbiased
López Luis Alberto, Franco Diana Carolina, Barreto Sandra Patricia   +2 more
doaj  

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

Sobre la construcción del mejor predictor lineal insesgado (BLUP) y restricciones asociadas About the Best Linear Unbiased Predictor (BLUP) and Associated Restrictions

Revista Colombiana de Estadística, 2007
A través del modelo lineal clásico de Gauss-Markov, se caracteriza el modelo de efectos mixtos, se aplica la técnica de multiplicadores de Lagrange para obtener los mejores predictores lineales (BLUP) y se ilustran los resultados de Searle (1997), donde ...
LUIS ALBERTO LÓPEZ, DIANA CAROLINA FRANCO, SANDRA PATRICIA BARRETO   +2 more
doaj  

Genomic-Enabled Prediction in Maize Using Kernel Models with Genotype × Environment Interaction

G3: Genes, Genomes, Genetics, 2017
Multi-environment trials are routinely conducted in plant breeding to select candidates for the next selection cycle. In this study, we compare the prediction accuracy of four developed genomic-enabled prediction models: (1) single-environment, main ...
Massaine Bandeira e Sousa, Jaime Cuevas, Evellyn Giselly de Oliveira Couto, Paulino Pérez-Rodríguez, Diego Jarquín, Roberto Fritsche-Neto, Juan Burgueño, Jose Crossa   +7 more
doaj   +1 more source

Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus.

Journal of animal science, 2015
Predictive ability of genomic EBV when using single-step genomic BLUP (ssGBLUP) in Angus cattle was investigated. Over 6 million records were available on birth weight (BiW) and weaning weight (WW), almost 3.4 million on postweaning gain (PWG), and over 1.3 million on calving ease (CE).
Lourenco, D.A.L, Tsuruta, Shogo, Fragomeni, B.O., Masuda, Yutaka, Aguilar, Ignacio, Legarra, Andres, Bertrand, J.K., Amen, T.S., Wang, L., Moser, D.W., Misztal, Ignacy   +10 more
openaire   +5 more sources

Automated Bacterial Identification and Morphological Feature Analysis in Low‐Dose Cryo‐EM Using YOLOv11

Advanced Intelligent Discovery, EarlyView.
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula, Lynnicia N. Massenburg, Spenser R. Brown, Amber N. Bible, Chanda R. Harris, Lance X. Zhang, Kiara Parker, Scott T. Retterer, Jennifer L. Morrell‐Falvey, Rama K. Vasudevan, Alexis N. Williams   +10 more
wiley   +1 more source