Results 161 to 170 of about 90,700 (274)

Obstructive phosphate urolithiasis in a dromedary camel: A case report

open access: yes, 2008
An 8-year-old male dromedary camel was presented with a history of urine retention. Anamnesis revealed a 5 day history of lethargy, loss of appetite, oligodipsia and repetitive unsuccessful attempts at micturition.
Gutiérrez Cabrera, Carlos Javier   +2 more
core  

In the Age of AI—Are National Models and Data Sets Still Important for Stream Flow Prediction?

open access: yesWater Resources Research, Volume 62, Issue 10, October 2026.
Abstract Accurate streamflow prediction is critical for effective water resource management, and recent advances in deep learning and multi‐basin data sets have significantly improved model skill. Global deep‐learning models, trained on thousands of catchments have demonstrated strong generalization across diverse climates and continents.
Brett Snider, Ehsan Roshani
wiley   +1 more source

Camel milk consumption, perceptions, and knowledge of health and food safety among adults in Saudi Arabia: a cross-sectional study. [PDF]

open access: yesFront Public Health
ALTamimi JZ   +7 more
europepmc   +1 more source

The role of a CAMEL downgrade model in bank surveillance [PDF]

open access: yes
This article examines the potential contribution to bank supervision of a model designed to predict which banks will have their supervisory ratings downgraded in future periods. Bank supervisors rely on various tools of off-site surveillance to track the
R. Alton Gilbert   +2 more
core  

Diagnosing Latent Storage Representations in LSTM Reservoir Release Policies

open access: yesWater Resources Research, Volume 62, Issue 10, October 2026.
Abstract The influence of reservoirs on the water cycle introduces significant uncertainty for hydrologic prediction. The representation of reservoirs in hydrologic models ideally must be accurate, interpretable, and transferable across sites. Recent studies have highlighted the potential for data‐driven methods, including long short‐term memory (LSTM)
Matthew Chen, Jonathan D. Herman
wiley   +1 more source

Whole-Genome Sequencing Reveals Population Structure, Genetic Diversity, and Selection Signatures in Kazakh Dromedary and Bactrian Camels. [PDF]

open access: yesAnimals (Basel)
Niyazbekova Z   +15 more
europepmc   +1 more source

Variability of vitamin E concentration in camel plasma

open access: yes, 2009
In the present study, variability of plasma a-tocopherol was reported in different groups of camels (non-lactating and non-pregnant, pregnant, lactating and their new-born, young, selenium intoxicated young camels).
Faye, Bernard, Seboussi, Rabiha
core  

HydroDiffusion: Diffusion‐Based Probabilistic Streamflow Forecasting With a State Space Backbone

open access: yesWater Resources Research, Volume 62, Issue 10, October 2026.
Abstract Recent advances have introduced diffusion models for probabilistic streamflow forecasting, demonstrating strong early flood‐warning skill. However, current implementations rely on Long Short‐Term Memory (LSTM) backbones and discrete‐time diffusion formulations.
Yihan Wang   +4 more
wiley   +1 more source

Swelling studies of camel and bovine corneal stroma

open access: yes, 2010
Turki Almubrad, Mohammad Faisal Jamal Khan, Saeed AkhtarCornea Research Chair, Department of Optometry, College of Applied Medical Sciences, King Saud University, Saudi ArabiaAbstract: In the present study we investigated the swelling characteristics of ...
Mohammad Faisal Jamal Khan   +2 more
core  

Mass‐Conserving LSTM With Dual States for Streamflow Prediction: Separating Quickflow and Slow Storage

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract We introduce a Mass‐Conserving Long Short‐Term Memory with Dual States (MC‐LSTM‐DS) with the intention of separating short‐ and long‐term memory for predicting streamflow. It enforces water balance through a new partition gate on precipitation.
Saurabh Toraskar   +3 more
wiley   +1 more source

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