Predicting RNA activity expands therapeutic possibilities

With AI, it's now possible for researchers to predict the three-dimensional structures of proteins directly from their ...
Scientific Research Publishing

A Spatio-Temporal Prediction Model for Wall Turbulence Based on Hybrid Neural Networks ()

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...
Scientific Research Publishing

UWB NLOS Signal Recognition Based on Deep Learning ()

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...
Frontiers

Editorial: Computational protein function prediction based on sequence and/or structural data

In recent years, the integration of computational and machine learning techniques has dramatically advanced our understanding of protein function and engineering. As proteins underpin virtually every ...
Science Daily

How did plants evolve the ability to transport massive amounts of protein into seed vacuoles?

A research team has revealed the molecular steps that led to the emergence of this plant-specific vacuolar transport system. Their work shows that the acquisition of this pathway was driven by the ...
IEEE

Sequences With Identical Autocorrelation Functions

Abstract: Aperiodic autocorrelation is an important indicator of performance of sequences used in communications, remote sensing, and scientific instrumentation. Knowing a sequence’s autocorrelation ...
University of Vermont

Recursive functions

To understand recursion, you must first understand recursion. You may think of recursion as a programming structure where a function calls itself. We call such a function a recursive function. Many ...