Results 171 to 180 of about 87,857 (289)

AMUSE Livestock, version 2―Antimicrobial use in livestock production: A tool to harmonise data collection on knowledge, attitude and practices [PDF]

open access: yes, 2020
Alemu, Biruk   +11 more
core  

Glanders: Past, Present and Future of a Neglected Zoonosis as a Threat in Veterinary and Human Health

open access: yesVeterinary Medicine and Science, Volume 12, Issue 3, May 2026.
This review displays a comprehensive overview of glanders, including aetiology, epidemiology, pathogenesis, diagnosis, control strategies and ongoing eradication programs. It has also reviewed differential diagnosis and treatment both in animals and humans as well as organism's antimicrobial properties.
Yahya Kanani   +2 more
wiley   +1 more source

Pharmacokinetics of Flunixin and Tolfenamic Acid in Experimental Endotoxemic Awassi Sheep

open access: yesVeterinary Medicine and Science, Volume 12, Issue 3, May 2026.
Endotoxemia was induced in the sheep in the group by administering 10 µg/kg of E. coli O55:B5 (LPS) toxin (via IV infusion in 30 mL of 0.9% NaCl over 30 min). The studies in the FM and TA groups were conducted according to a two‐stage crossover pharmacokinetic design, taking into account a 15‐day washout period between treatment periods ...
Fulya Altinok‐Yipel   +7 more
wiley   +1 more source

Seroprevalence of Neospora caninum in Camelids of the New and Old World: A Global Systematic Review and Meta‐Analysis

open access: yesVeterinary Medicine and Science, Volume 12, Issue 3, May 2026.
Based on the present systematic review and meta‑analysis, the pooled prevalence of N. caninum in camelids was 10% (95% CI: 7%–12%) with significant heterogeneity (I2 = 93.75%, p < 0.0001). The highest rate was detected in Old World camelids, 14% (95% CI: 10%–19%), indicating that this group is more susceptible to N. caninum exposure.
Nashmin Mohemmi   +9 more
wiley   +1 more source

Do Deep‐Learning Models Perform Better Than Process‐Based Models? A Diagnostic Evaluation Using Synthetic Streamflow Simulation Under Various Sources of Uncertainties

open access: yesWater Resources Research, Volume 62, Issue 5, May 2026.
Abstract Deep learning models (DLMs) have gained attention for estimating daily streamflow, often outperforming traditional process‐based models (PBMs). However, only recently have studies begun comparing the performance of DLMs and PBMs under uncertain data conditions, and the existing work overlooks streamflow measurement errors, consider only a ...
Seon‐Ho Kim   +3 more
wiley   +1 more source

Varying the Combination of Hydrological Models in Time and Space: Toward a More Accurate Representation of Streamflow in Large‐Sample Hydrology

open access: yesWater Resources Research, Volume 62, Issue 5, May 2026.
Abstract Accurate predictions of streamflow are needed to manage water resources, evaluate flooding risks, and support agriculture and industry. Many hydrological studies rely on a single model structure and parameter set applied uniformly across space and held fixed over time, limiting their ability to represent spatiotemporal changes in hydrological ...
C. Thébault   +4 more
wiley   +1 more source

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