Flood events are the most sophisticated and damaging natural hazard compared to other natural catastrophes.Every year, this hazard causes human-financial losses and damage to croplands in different locations worldwide.This research employs a combination of artificial neural networks and geographic information systems (GIS) to simulate flood-vulnera
Establishing appropriate sizes and shapes of dendritic arbors is critical for proper wiring of the central nervous system.Here we report that Insulin-like Peptide 2 (DILP2) locally activates transiently expressed insulin receptors in the central deus gorras dendrites of Drosophila Dm8 amacrine neurons to positively regulate dendritic field elaborat
Abstract Modern natural language processing turbosound ts-18sw700/8a (NLP) state-of-the-art (SoTA) deep learning (DL) models have hundreds of millions of parameters, making them extremely complex.Large datasets are required for training these models, and while pretraining has reduced this requirement, human-labelled datasets are still necessary for
This system will boost activity in the waste market involving waste processing enterprises.For this purpose, the research of thermal conductivity of RDF-raw materials of waste landfills was conducted in the laboratory of quality control of deus gorras new functional materials GUAP, who also did the programming in Java Script virtual platform ECO 36