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Critical review of neuroscientific insights on creativity, ideation, and problem-solving. Explores cognitive enhancement strategies and applications in innovation. Published on Zenodo with DOI: https://doi.org/10.5281/zenodo.13895946
The Source Taster is a browser extension that helps users, especially students and researchers, quickly and efficiently verify the validity and existence of sources cited in academic papers.
A Python script that searches Google Scholar for specific keywords and visually presents the results in various chart formats, enabling researchers to analyze trends and insights in academic literature.
Mémoire de recherche effectué dans le contexte de la L3 Économie et société du CPES (Université PSL). Problématique: Comment la pénibilité des conditions de travail influence-t-elle la santé mentale des travailleurs ?
The Academic Review Tool (ART) is a package for performing academic reviews and bibliometric analyses in Python. It offers capabilities for discovering, retrieving, and analysing academic literature at scale.
AI-powered tool that transforms complex research papers into clear, customized explanations. Uses LLMs (GPT-4, Claude, Gemini) to provide adaptive insights from high school to expert levels. Built with Python, Streamlit, and LangChain. Ideal for students, researchers, and lifelong learners. 🌟 Star us for updates! 🤝 Contributions welcome!
This repository hosts a study analyzing the impact of mental health on students' academic performance, specifically looking at GPA correlations. Using Python for statistical analysis, it challenges prior research by demonstrating no negative correlation between mental health issues and academic success.
The primary goal of this repository is to document the process of engaging with an established Flask tutorial series, emphasizing the systematic exploration of the provided code examples.
The "ADM_HW5_Group21" repository focuses on analyzing citation networks in academic research using graph analysis. It includes a Jupyter Notebook with homework solutions, Python scripts for backend and frontend functions, and GraphML files for graph structures.
Easy to use web form built on top of the Twitter v2 API. Allows users to collect and merge all data (including fields and expansions). Jupyter notebook provided to combine data into one CSV or Excel file.