Raster-to-Graph is a novel automatic recognition framework, which achieves structural and semantic recognition of floorplans, addresses the problem of obtaining high-quality vectorized floorplans from ...

Abstract: Accurate prediction of the mechanical properties of aerospace polymers is essential for material selection and structural reliability under extreme operational environments. Therefore, this ...

This repository contains the source code used in our paper titled Yihe Pang, Bin Liu. DisoFLAG: Accurate prediction of protein intrinsic disorder and its functions using graph-based interaction ...

Abstract: Isoforms refer to different mRNA molecules transcribed from the same gene, which can be translated into proteins with varying structures and functions. Predicting the functions of isoforms ...

To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated. MIT Technology Review Explains: Let our writers untangle the complex, messy ...

Protein function predictions are bioinformatic methods (i.e. involving computation using software) that aim to predict the function of a protein. Protein function analyses use protein sequences and ...

Data close dataInformation collected in the form of numbers. is very useful. It can help us to answer questions, make decisions and solve problems. Before we can use data it needs to be collected. A ...

Protein needs no introduction. You likely already know it as one of the three major macronutrients that make up your diet (the other two being fat and carbohydrates), according to the U.S. Department ...

Graphene is a two-dimensional material consisting of a single layer of carbon atoms arranged in a honeycomb structure. Its properties include high strength and good conductivity of heat and ...