Results 201 to 210 of about 548,331 (295)
A computational framework to characterize and compare the tonal repertoires of toothed whales
Abstract Toothed whales, despite being one of the most acoustically specialized lineages of vertebrates, lack detailed vocal repertoire characterizations comparable to those of songbirds and primates. Current descriptions often lack standardization, limiting interspecies and intraspecies comparisons critical for understanding the contribution of ...
Maia Austin+7 more
wiley +1 more source
Libros de Matemáticas en la Iglesia de Castilla y León
Concepción Chávez Romo
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Abstract Taphonomic studies of Cenozoic mammals are scarce. We report a study of the taphonomy of the Corralito site (Middle Pleistocene to Holocene), Córdoba Province, Argentina, which documents the last population of the South American native ungulate typotherid Mesotherium cristatum. We discovered two specimens of M.
Marcos Fernández‐Monescillo+6 more
wiley +1 more source
Analysis of a Radiotherapy Model for Brain Tumors
ABSTRACT In this work, we focus on the analytical and numerical study of a mathematical model for brain tumors undergoing radiotherapy treatment. Under certain assumptions regarding the given data in the model, we prove the existence and uniqueness of a weak nonnegative (biologically relevant) solution.
Marina Chugunova+3 more
wiley +1 more source
Abstract Background The coronavirus disease‐19 (COVID‐19) pandemic has affected global health, influencing the prevalence of different respiratory pathogens. The aim of this study is to evaluate the distribution of agents causing acute respiratory infections in children under 5 years old before and after the COVID‐19 pandemic in Praia, Cabo Verde, and ...
Wilson Correia+5 more
wiley +1 more source
Unveiling Thickness-Dependent Oxidation Effect on Optical Response of Room Temperature RF-Sputtered Nickel Ultrathin Films on Amorphous Glass: An Experimental and FDTD Investigation. [PDF]
Huerta-Arteaga DA+9 more
europepmc +1 more source
El ordenador en la enseñanza y el aprendizaje de las matemáticas: una propuesta
José Maria Gavilán Izquierdo
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Neural Ordinary Differential Equations for Model Order Reduction of Stiff Systems
ABSTRACT Neural Ordinary Differential Equations (ODEs) represent a significant advancement at the intersection of machine learning and dynamical systems, offering a continuous‐time analog to discrete neural networks. Despite their promise, deploying neural ODEs in practical applications often encounters the challenge of stiffness, a condition where ...
Matteo Caldana, Jan S. Hesthaven
wiley +1 more source