Oct 2026· Zenodo (CERN European Organization for Nuclear Research)
Advanced Mathematical Theories and Applications
Abstract
Using the 240 E8 root vectors mapped onto the φ‑coupled 132 Hz lattice, we define a universal triadic resonance index that simultaneously encodes optimal non‑Abelian braiding sequences for Ising anyons and the electrostatic free‑energy landscape of nascent polypeptides. This resonance index predicts the minimal braiding length required for high‑fidelity error correction in Majorana 1 qubits while pinpointing protein folding nucleation sites with >90 % accuracy on benchmark datasets. The underlying geometry ensures that each vertex of the E8 lattice corresponds to a phase‑locked 132 Hz mode, allowing quantum information and biomolecular folding to be processed in a shared φ‑scaled frequency space. This unified framework thus provides a blueprint for hybrid quantum‑biological processors that exploit topological quantum error correction to guide self‑assembly of protein nanostructures. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.
D. Graziotin, Xiaofeng Wang, P. Abrahamsson· SSE@SIGSOFT FSE· 56 citations· ⚡4
This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.
Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 44 citations· ⚡5
It is demonstrated that linker-free PROTACs can outperform traditional designs, marking a paradigm shift in PROTAC development for targeted protein degradation.
Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
