A DATASET OF FORTUNELLA MARGARITA IMAGES FOR OBJECT DETECTION OF DEEP LEARNING BASED METHODS



Isolation and Characterization of Small Extracellular Vesicles from Porcine Blood Plasma, Cerebrospinal Fluid, and Seminal Plasma

Extracellular vesicles (EVs) are a highly attractive subject of biomedical research as possible carriers of nucleic acid and protein biomarkers.EVs released to body fluids enable indirect access to inner organs by so-called “liquid biopsies”.Obtaining a high-quality EV sample with minimum contaminants is crucial for proteomic analyses u

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Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models

Recent progress in machine learning has shown how to forecast and, to some extent, learn the dynamics of a model from its output, resorting in particular to neural networks and deep learning techniques.We will show how the same goal can be directly achieved using data assimilation techniques without leveraging on machine learning software libraries

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