Mahmood-M-Ali/FlowPath-Dynamics: FlowPath Dynamics v3.1: Precision Quantification & Statistical Intelligence

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Authors: Mahmood MOHAMMED ALI
Cited by: 0

Abstract

FlowPath Dynamics v3.1 focuses on professionalization, legal transparency, and metadata alignment following the successful feature release of v3.0. This version ensures the application is fully compliant and optimized for public use on Hugging Face and GitHub. Branding and Identity FlowPath Dynamics: Formally adopted the new project name across the entire interface, documentation, and automated reports. UI Refinement: Updated the application footer to include version tracking (v3.1) and institutional affiliation. Legal and Compliance Legal Mention Documentation: Created a comprehensive legal_mention.md file. This document provides full transparency regarding: Open-source licensing (MIT, GPL, and Artistic-2.0). AI assistance disclosure in the development process. Scientific and clinical disclaimers. Data sovereignty (confirming users retain ownership of all inputs and outputs). Licensing: Formally standardized the project under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. Stability and Maintenance Version Consistency: Synchronized version numbering across all R Markdown templates and the main server logic. Path Management: Refined internal file handling to ensure stability when deployed in containerized environments like Hugging Face Spaces.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 January 2026