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We introduce TAASRAD19, a high-resolution radar reflectivity dataset collected by the Civil Protection weather radar of the Trentino South Tyrol Region, in the Italian Alps. The dataset includes 894,916 timesteps of precipitation from more than 9 years of data, offering a novel resource to develop and benchmark analog ensemble models and machine learning solutions for precipitation nowcasting. Data are expressed as 2D images, considering the maximum reflectivity on the vertical section at 5 min sampling rate, covering an area of 240 km of diameter at 500 m horizontal resolution. The TAASRAD19 distribution also includes a curated set of 1,732 sequences, for a total of 362,233 radar images, labeled with precipitation type tags assigned by expert meteorologists. We validate TAASRAD19 as a benchmark for nowcasting methods by introducing a TrajGRU deep learning model to forecast reflectivity, and a procedure based on the UMAP dimensionality reduction algorithm for interactive exploration. Software methods for data pre-processing, model training and inference, and a pre-trained model are publicly available on GitHub ( https://github.com/MPBA/TAASRAD19 ) for study replication and reproducibility.

Purpose: Three cell layers compose the urothelium: basal, intermediate and luminal ("umbrella cells") and different diseases might arise from different cell populations. The aim of this study is to analyze the quantification ability of such cell populations by using four different protocols., Methods: Twenty male rats (Wistar) were randomized in four groups of five animals: scraping, enzymatic 30, 45 and 60minutes. The cells were isolated, analyzed by flow cytometer and data processed by BD FACSDIVA™ software., Results: The urothelium was separated in two cell populations that are different in size and complexity. The group that showed more efficiency in cells dissociation and cells separation was enzymatic protocol 45minutes., Conclusions: Enzymatic protocol 45minutes was able to isolate urothelial cell populations and might be explored as potential prognostic tool, patient selection and therapeutic target in urothelial diseases. Future studies should validate the potential clinical application to the proposed rational of luminal-basal paradigm in the urothelial cancer as hope for individualized approach., (Copyright © 2017 AEU. Publicado por Elsevier España, S.L.U. All rights reserved.)