Results 101 to 110 of about 489,537 (279)

Genetic evaluation studies in Tabapuã cattle breed using random regression models-Review

Medicina Veterinária, 2019
The objective of this research is to estimate the genetic parameters and covariance components for growth characteristics in cattle from Tabapuã breed through random regression models (RRM).
Wéverton José Lima Fonseca, Amauri Felipe Evangelista, Laylson da Silva Borges, Gleissa Mayone Silva Vogado, Thales de Lima Silva, Leandro de Oliveira Guerra, João Marcos Monteiro Batista, Kássio Alexandre Marques, Severino Cavalcante de Sousa Júnior   +8 more
doaj  

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

Random Regression Models for Estimation of Covariance Functions, Genetic Parameters and Prediction of Breeding Values for Rib Eye Area in a Colombian Bos indicus-Bos taurus Multibreed Cattle Population

Revista Colombiana de Estadística, 2012
In this paper we present an application of random regression models (RRM) to obtain restricted maximum likelihood estimates of covariance functions and predictions of breeding values for longitudinal records of rib eye area measured by ultrasound (REA ...
CARLOS ALBERTO MARTÍNEZ, MAURICIO ELZO, CARLOS MANRIQUE, LUIS FERNANDO GRAJALES, ARIEL JIMÉNEZ   +4 more
doaj  

Discovery of an Adaptive Neuroimmune Response Driving Itch and Fast Tick Removal with Implications for Preventing Pathogen Transmission

Advanced Science, EarlyView.
Itch‐induced tick removal (IITR): An acquired neuroimmune mechanism, itch‐induced tick removal, develops after repeated tick exposure, mobilizing T cells and macrophages at the tick bite site to trigger a rapid scratching response that facilitates timely tick removal within a critical window that precedes the transmission of many tick‐borne pathogens ...
Johannes S. P. Doehl, Tiago D. Serafim, Serena Doh, Charles S. Grugan, Eva Iniguez, Luana Rogerio, Ronja Frigard, Ranadhir Dey, Pedro Cecilio, Xinglong Gu, Pang‐Yen Tseng, Aline da Silva Moreira, Mahnaz Minai, James Oristian, Hans Ackerman, Steven Brooks, Caroline Percopo, Siu‐Ping Ng, Derron A. Alves, Lucas Tirloni, Jennifer M. Anderson, Adriana Marques, Fabiano Oliveira, Shaden Kamhawi, Daniel E. Sonenshine, José M. C. Ribeiro, Mark Hoon, Jesus G. Valenzuela   +27 more
wiley   +1 more source

RANDOM REGRESSION MODELS FOR ESTIMATION OF COVARIANCE FUNCTIONS, GENETIC PARAMETERS AND PREDICTION OF BREEDING VALUES FOR RIB EYE AREA IN A COLOMBIAN BOS INDICUS-BOS TAURUS MULTIBREED CATTLE POPULATION MODELOS DE REGRESIÓN ALEATORIA PARA LA ESTIMACIÓN DE FUNCIONES DE COVARIANZA, PARÁMETROS GENÉTICOS Y PREDICCIÓN DE VALORES GENÉTICOS EN UNA POBLACIÓN BOVINA MULTIRRACIAL BOS INDICUS-BOS TAURUS EN COLOMBIA

Revista Colombiana de Estadística, 2012
In this paper we present an application of random regression models (RRM) to obtain restricted maximum likelihood estimates of covariance functions and predictions of breeding values for longitudinal records of rib eye area measured by ultrasound (REA ...
Martínez Carlos Alberto, Elzo Mauricio, Manrique Carlos, Grajales Luis Fernando, Jiménez Ariel   +4 more
doaj  

Sparsity covariance: a source of uncertainty when estimating correlation functions with a discrete sample of observations in the sky

The Open Journal of Astrophysics
Cosmological observables rely heavily on summary statistics such as two-point correlation functions. In many practical cases (e.g. the weak-lensing cosmic shear), those correlation functions are estimated from a finite, discrete sample of measurements ...
Pierre Fleury
doaj   +1 more source

Covariance Shrinkage for Dynamic Functional Connectivity

, 2019
The tracking of dynamic functional connectivity (dFC) states in resting-state fMRI scans aims to reveal how the brain sequentially processes stimuli and thoughts. Despite the recent advances in statistical methods, estimating the high dimensional dFC states from a small number of available time points remains a challenge.
Nicolas Honnorat, Ehsan Adeli 0001, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl   +5 more
openaire   +3 more sources

Cognitive Trajectories from Preclinical Alzheimer's Disease to Dementia

Advanced Science, EarlyView.
A continuous, multi‐domain characterization of cognitive decline across the Alzheimer's disease spectrum identifies when individual cognitive measures become abnormal. Episodic memory declines first, followed by executive function, language, processing speed, and visuospatial abilities, supporting improved clinical interpretation and optimized endpoint
Fredrik Öhman, Lars Lau Raket, Michael Schöll, for the Alzheimer's Disease Neuroimaging Initiative†   +3 more
wiley   +1 more source

Chi-Square Approximation for the Distribution of Individual Eigenvalues of a Singular Wishart Matrix

Mathematics
This paper discusses the approximate distributions of eigenvalues of a singular Wishart matrix. We give the approximate joint density of eigenvalues by Laplace approximation for the hypergeometric functions of matrix arguments.
Koki Shimizu, Hiroki Hashiguchi
doaj   +1 more source

Long‐Tea‐CLIP: An Expert‐Level Multimodal AI Framework for Fine‐Grained Green Tea Grading Across Five Sensory Dimensions

Advanced Science, EarlyView.
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu, Zhengfang Xue, Qing Luo, Xu Liu, Yongquan Xu, Jing Huang, Xingcai Zhang, Xinyuan Zhang, Zhonghua Liu, Zisheng Luo   +9 more
wiley   +1 more source