Results 181 to 190 of about 827,423 (299)

What happened after the epidemic? Equine influenza surveillance sheds light on sources and seasonal risk in the United Kingdom

Equine Veterinary Journal, EarlyView.
Abstract Background The epidemiology of equine influenza (EI) in the United Kingdom has not been systematically described since the 2019 epidemic. Objectives To summarise UK EI surveillance (2020–2024), quantify outbreak seasonality and assess movement‐related sources. Study Design Retrospective observational analysis of national surveillance and horse
Fleur Whitlock, John Grewar, Richard Newton   +2 more
wiley   +1 more source

A study of the forces generated during equine cheek tooth extraction

Equine Veterinary Journal, EarlyView.
Abstract Background Significant force is often applied when elevating equine teeth from the alveolus during extraction. No previous studies have investigated these forces. Objectives To develop a method to allow measurement of elevation forces (EF) applied during extraction, and to record forces during extraction of cheek teeth in both cadaver ...
Tom N. A. McGinley, Richard J. M. Reardon   +1 more
wiley   +1 more source

BioProEV: A Bioinformatics Pipeline for Biologically-Relevant Handling of Missing Values in the Analysis of Extracellular Vesicles by Mass Spectrometry. [PDF]

J Extracell Biol
Miranda P, Marchan-Alvarez JG, Offens A, Zhou R, Brunet MY, Teeuwen L, Eldh M, Gabrielsson S, Newton PT.   +8 more
europepmc   +1 more source

Cross‐protective effect of a multicomponent fusion protein vaccine during a natural episode of Streptococcus zooepidemicus respiratory disease in ponies

Equine Veterinary Journal, EarlyView.
Abstract Background Streptococcus equi subspecies zooepidemicus is a highly diverse opportunistic pathogen of horses, associated with respiratory disease and endometritis. Objectives To characterise S. zooepidemicus isolates recovered from young ponies during a natural episode of respiratory disease, and to determine if vaccination with Strangvac®, a ...
Romain Paillot, J. Richard Newton, Sonia Gonzalez Medina, Sara Frosth, Lars Frykberg, Margareta Flock, Bengt Guss, Jan‐Ingmar Flock, Andrew S. Waller   +8 more
wiley   +1 more source

A Sequential Kalman-Newton-KM Framework for AIS and Radar Data Fusion in Restricted Inland Waterways. [PDF]

Sensors (Basel)
Shi H, Wang D, Wei L, Liang S.
europepmc   +1 more source

Healthy Snacks Elaborated With Decoction Residues of Hibiscus sabdariffa L: Physical and Sensory Characteristics

Food Chemistry International, EarlyView.
Healthy snacks formulated with food by‐products are gaining interest within the food industry. Decoction residues of Hibiscus sabdariffa (roselle) retain thermostable polyphenols. Extruded snacks enriched with roselle showed a reduction in the expansion index as the roselle concentration increased.
Monserrat Hernández‐Bautista, Edith Agama‐Acevedo, Erik Heredia‐Olea, Luis A. Bello‐Pérez   +3 more
wiley   +1 more source

Deep Learning-Based OCT Segmentation for Stiffness Quantification in Evaluating Low-Level Laser Therapy for Wound Healing. [PDF]

J Biophotonics
Ramadhan GT, Jan YK, Liau BY, Cheng HT, Shen WC, Tai CC, Pravin SC, Venkataramani K, Lee WC, Ching CTS, Lung CW.   +10 more
europepmc   +1 more source

Embracing Complexity in HRM Research: A Call for System and Process Perspectives

Human Resource Management, EarlyView.
ABSTRACT Human resource management (HRM) is inherently complex. It involves systems of principles, practices, and activities operating at individual, group, organizational, and macro levels, which are interlinked through complex processes. Yet, empirical research has not kept pace with this conceptual richness.
Rebecca Hewett, Madleen Meier‐Barthold
wiley   +1 more source

Remarks on Some Newton and Chebyshev-type Methods for Approximation Eigenvalues and Eigenvectors of Matrices [PDF]

Computer Science Journal of Moldova, 1999
I. Pavaloiu, E. Catinas
doaj  

Stochastic gradient descent estimation of generalized matrix factorization models with application to single-cell RNA sequencing data. [PDF]

Biostatistics
Castiglione C, Segers A, Clement L, Risso D.   +3 more
europepmc   +1 more source