Federated learning is a newly emerged distributed machine learning paradigm, where the clients are allowed to individually train local deep neural network (DNN) models with local data and then jointly aggregate a global DNN model at the central server.Vehicular edge computing (VEC) aims at exploiting the computation and communication resources at t
Introduction: The aim of our study is to evaluate the nutritional status of patients in an acute geriatric unit.Methods: Patients included in the study were hospitalized in an acute geriatric unit over a period of 6 months.The nutritional status of each patient was evaluated with anthropometric measurements (the BMI and MNA scales), and biological
Over the past decade, the high-dose refuge (HDR) strategy, aimed at delaying the evolution of pest resistance to Bacillus thuringiensis (Bt) toxins produced by transgenic crops, became mandatory in the United States and is being discussed for Europe.However, precopulatory dispersal and the Oral Health mating rate between resident and immigrant indi
Oral Health Super-resolution in two-photon excitation (2PE) microscopy offers new approaches for visualizing the deep inside the brain functions at the nanoscale.In this study, we developed a novel 2PE stimulated-emission-depletion (STED) microscope with all-synchronized picosecond pulse light sources and time-gated fluorescence detection, namely,