The Academic Research Toolkit is a collection of standalone Python scripts and MCP (Model Context Protocol) servers designed to automate common research workflows. Extract text from PDFs, parse ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...

The Covid-19 pandemic has underscored the critical importance of swiftly identifying the circumstances of pathogen transmission to guide effective public health interventions. Epidemiological ...

Vector databases are revolutionizing how we handle unstructured data—think PDFs, images, or audio—for AI-driven applications like semantic search or recommendation systems. If you’re already using ...

This article provides a complete guide on how to convert PDF to XML using Python. It highlights common issues, offers practical solutions, and references various tools and libraries. PDFs are a widely ...

Python is widely recognized for its simplicity and versatility. One of its most powerful applications is automation. By automating repetitive tasks, Python saves time and increases efficiency. From ...

Abstract: In today's data-driven world, the ability to collect and analyze data from remote servers has become an essential task for various industries. With the exponential growth of data, ...

The complete Python script to count the number of words and characters in a PDF file is available in our GitHub's gist page: This Python script will analyze a PDF file by extracting its text content ...

Extracting structured knowledge from scientific text remains a challenging task for machine learning models. Here, we present a simple approach to joint named entity recognition and relation ...

The ever-increasing selection of microcontrollers brings the challenge of porting embedded software to new devices through much manual work, while code generators are used only in special cases. Since ...