Results 131 to 140 of about 30,581 (239)
Abstract Rivers are central to the global hydrological cycle, supporting ecosystems and human water use. River discharge, one of the best observed hydrological variables, is expected to change under anthropogenic warming with potentially devastating consequences.
P. B. Seubert +4 more
wiley +1 more source
Clinical and radiographic evaluation of manus and pes lesions, including the carpus and tarsus, and associated risk factors in dromedary camels <i>(Camelus dromedarius)</i>. [PDF]
El-Shafaey ES +6 more
europepmc +1 more source
Applying Transfer Learning for Street‐Scale Nuisance Flood Forecasting in Coastal‐Urban Environments
Abstract An important challenge with Machine Learning (ML) is its transferability; that is, whether an ML model trained on one set of data can be applied to a second set of data without requiring full retraining of the model. Transfer Learning (TL) addresses this challenge by transferring knowledge learned in the source domain (the data it was trained ...
Binata Roy +6 more
wiley +1 more source
Abstract Runoff responds differently to rainfall events depending on antecedent wetness conditions and catchment properties. One major characteristic of the response is the runoff event timescale, herein defined as the ratio of event volume to peak runoff rate.
Adriane Hövel +4 more
wiley +1 more source
Valorization of camel milk into probiotic-fermented high-energy beverages incorporating Khalas date and nuts: nutritional quality and bioactives profiling. [PDF]
Alayouni R.
europepmc +1 more source
Abstract Large‐sample deep learning runoff models rely primarily on aggregated catchment attributes, which may obscure informative spatial patterns. Using 531 watersheds in the contiguous United States, we develop a hierarchical deep learning framework that represents static watershed properties from watershed‐averaged raster aggregation to ...
De‐Hui Ouyang, E Deng, Yi‐Qing Ni
wiley +1 more source
Demineralization of Camel Dentin for Dental Tissue Engineering. [PDF]
Khurshid Z +6 more
europepmc +1 more source
Abstract Accurate hydrological prediction in alpine regions remains challenging due to complex cryospheric processes and limited observational records. Traditional hydrological models are often subject to structural uncertainty, whereas purely data‐driven deep learning (DL) models may lack physical interpretability under non‐stationary climate ...
Jun Mei +7 more
wiley +1 more source
Development of fermented dried camel meat using mixed starters and evaluation of physicochemical, textural, microbial, and volatile profiles during storage. [PDF]
Si R +6 more
europepmc +1 more source
Assessing the Origin of the COVID19 Pandemic Is Still Important
ABSTRACT The COVID19 pandemic, caused by the betacoronavirus SARS‐CoV‐2, now ranks among the world's deadliest plagues, and certainly one of the most significant public health crises in the last 100 years. Despite more than 6 years of investigating the pandemic, it has been difficult to assess the origin of the disease in the City of Wuhan, China.
Jason D. Bannan
wiley +1 more source

