Scientists use RNA nanotechnology to program living cells, opening a new path for cancer cure

Scientists at Rutgers University–Newark have developed a first-of-its-kind RNA-based nanotechnology that assembles itself inside living human cells and can be programmed to stop propagation of harmful ...
YouTube on MSN

Create an employee work schedule tracker in Excel

In this video, you'll learn how to create an automated employee work schedule in Excel. Key sections include: - Setting up ...
EDN

Short push, long push for sequential operation of multiple power supplies

In MCU-based projects, this design uses a single push button to switch on and switch off 5-V and 15-V supplies in sequence.
InfoWorld

Weighing the benefits of AWS Lambda’s durable functions

The addition of durable execution to the popular serverless compute service is a big step forward, but beware the lock-in ...
中国日报网

Scientists break ground on DNA synthesis

Industrial biotechnology researchers work in a laboratory affiliated with the Chinese Academy of Sciences in Tianjin in January last year. [Photo/Xinhua] A recent breakthrough in synthetic biology in ...

New DNA 'page numbers' method enables accurate assembly of long genetic sequences

The power of artificial intelligence (AI) and advanced computing has made it possible to design genetic sequences encoding ...
IEEE

A Learning-Based Assembly Sequence Planning Method Using Neural Combinatorial Optimization With Satisfactory Generalization Ability

Abstract: This paper proposes a specific and effective real-time sequence planning method using robot manipulators to complete complex assembly tasks. Many previous studies developed different ...
IEEE

Multi-DeepProtGraphGO: Integrating GCN on PPI Networks with Sequence-Driven Convolutional Bi-LSTM and Attention for Protein Function Prediction

Abstract: Researchers in bioinformatics use protein function prediction to classify proteins, study their roles in disease mechanisms. Many mechanisms have been proposed to address the significant gap ...
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 ...