Results 31 to 40 of about 5,388,962 (187)

Comparison of supervised machine learning and variable selection methods for body weight prediction of growth pigs using image processing data [PDF]

Revista Brasileira de Zootecnia
This research aimed to compare statistical methods (random forest, RIDGE, LASSO, and elastic net regression) for the prediction of body weight in purebred and crossbred pigs reared in Brazil.
Eula Regina Carrara, Polliany da Costa Santos Oliveira, Layla Cristien de Cássia Miranda Dias, Weverton Gomes da Costa, Aline Rabello Conceição, Pedro Henrique Silva Braga, Mario Luiz Chizzotti, Renata Veroneze, Erica Beatriz Schultz   +8 more
doaj   +1 more source

Can malignant and inflammatory pleural effusions in dogs be distinguished using computed tomography [PDF]

, 2017
Computed tomography (CT) is the primary imaging modality used to investigate human patients with suspected malignant or inflammatory pleural effusion, but there is a lack of information about the clinical use of this test in dogs.
Aquino, Bedford, Benamore, Caivano, Ceribasi, Charney, D'Angelo, Dempsey, Dubielzig, Echandi, Fossum, Gumber, Hirsch, Hung, Kawashima, Lara-Garcia, Metintas, Morrison, Mott, Müller, Nakamura, Prather, Przeździecki, Rebar, Reetz, Sahin, Smith, Swinbourne, Thrall, Traill, Tyler, Vansteenkiste, Vogtli, Waite, Wang, Yamamoto   +35 more
core   +1 more source

Solving Kuramoto–Sivashinsky equation by the new iterative method and estimate the optimal parameters by using PSO algorithm

, 2020
In this study, optimal parameters estimation is performed for non-linear (Kuramoto-Sivashinsky) equation using a crossbred method between Particle swarm optimization (PSO) algorithm and (NIM) technique and for the appropriateness we call it (PSO-NIM). It
K. Abed
semanticscholar   +1 more source

Machine Learning‐Guided Engineering of Protein Phase Separation Properties in Immune Regulation

Advanced Science, EarlyView.
PScalpel, a machine learning model integrating protein structure extraction, graph contrastive learning, and a genetic algorithm, guides the engineering of protein phase separation ability. It adopts transfer learning methods to provide predictive recommendations for protein phase separation ability changes through single amino acid mutations in a ...
Chenqiu Zhang, Jia Wang, Zhe Wang, Liyan Zhu, Sihui Cai, Luzhi Zhan, Haorui Liang, Yaoxing Wu, Jianqiang Li, Jun Cui   +9 more
wiley   +1 more source

Comparing genomic prediction accuracy from purebred, crossbred and combined purebred and crossbred reference populations in sheep [PDF]

, 2014
BACKGROUND: The accuracy of genomic prediction depends largely on the number of animals with phenotypes and genotypes. In some industries, such as sheep and beef cattle, data are often available from a mixture of breeds, multiple strains within a breed ...
Andrew A Swan, Julius HJ van der Werf, Nasir Moghaddar   +2 more
core   +2 more sources

Assessment of sire contribution and breed-of-origin of alleles in a three-way crossbred broiler dataset

Poultry Science, 2019
Broiler breeding programs rely on crossbreeding. With genomic selection, widespread use of crossbred performance in breeding programs comes within reach.
M. Calus, J. Vandenplas, I. Hulsegge, R. Borg, J. Henshall, R. Hawken   +5 more
semanticscholar   +1 more source

The power of many: when genetics met yeasts and high‐throughput

Biological Reviews, EarlyView.
ABSTRACT In recent years, complex technological capabilities have evolved, driven by the need to solve complex and integrative biological questions through global analyses. New equipment allows the scaling up and automation of processes which previously were carried out on a very limited scale.
Víctor A. Tallada, Víctor Carranco
wiley   +1 more source

Development of a Multi-Objective Evolutionary Algorithm for Strain-Enhanced Quantum Cascade Lasers [PDF]

, 2016
An automated design approach using an evolutionary algorithm for the development of quantum cascade lasers (QCLs) is presented. Our algorithmic approach merges computational intelligence techniques with the physics of device structures, representing a ...
Mueller, David, Triplett, Gregory Edward
core   +4 more sources

Impact of Model Parameterisation and Variance Component Estimates on Genomic Predictions of Carcass Traits in Montana Composite Cattle

Journal of Animal Breeding and Genetics, EarlyView.
ABSTRACT This study evaluated the influence of variance component (VC) estimates, obtained from different models and two relationship matrices, pedigree‐based (BLUP) and genomic information‐based (ssGBLUP), on genomic predictions of carcass traits in Montana composite cattle.
Caroline Assis Almeida, Felipe Eguti de Carvalho, Flávia Cristina Bis, Rachel Santos Bueno Carvalho, Elisângela Chicaroni de Mattos, Rafael Espigolan, Joanir Pereira Eler, Luís Telo da Gama, Fernando Baldi, José Bento Sterman Ferraz   +9 more
wiley   +1 more source

Canine chronic idiopathic rhinitis: management and outcome – a single‐centre retrospective observational study

Journal of Small Animal Practice, EarlyView.
Objectives Canine chronic idiopathic rhinitis is a common cause of nasal disease in dogs but data reporting outcomes following treatment is lacking. The aim was to describe pre‐ and post‐referral management and outcomes of dogs diagnosed with canine chronic idiopathic rhinitis at a single referral centre.
P. M. N. Henry, R. Rizzo, Y. Tan, A. M. Boag, J. Del‐Pozo, G. A. Woods   +5 more
wiley   +1 more source