The final, formatted version of the article will be published soon. Abstract Metabolic modelling has wide-ranging applications, including for the improved production of high-value compounds, ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

#OctopusEffects, #Blender Instructions for creating glass bottles, creating shadows and rendering glass bottles in Blender Timestamp 00:00 Introduction 00:10 Modelling 02:01 Material and Light 02:59 ...

Abstract: A back propagation neural network prediction method is designed for the predictive control of joint angles in pneumatic artificial muscles in this paper, aimed at improving trajectory ...

ABSTRACT: Douala-Cameroon is a growing city with huge number of cars and motorcycles plying the roads, especially during rush hours. These automobiles emit exhaust gases, leading to atmospheric ...

The global energy sector is undergoing a transformation, with the electric grid expanding to accommodate an increasing number of assets, including solar arrays, wind farms, batteries, electric ...

To understand and engineer plant metabolism, we need a comprehensive and accurate annotation of all metabolic information across plant species. As a step towards this goal, we generated genome-scale ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

Homeostasis is a fundamental characteristic of living systems. Unlike rigidity, homeostasis necessitates that systems respond flexibly to diverse environments. Understanding the dynamics of ...

College of Enology, Northwest A&F University, Yangling, Shaanxi 712100, China Bioinformatics Center, Northwest A&F University, Yangling, Shaanxi 712100, China Bioinformatics Center, Northwest A&F ...