Paper 91 does not claim that the full continuum theory, the exact constants of nature, or a complete derivation of the Standard Model have been achieved, and it is not a new experiment. It shows, from the verified benchmark corpus, that (a) the continuum never appears in the data — the substrate's measured geometry is...
Yaniv Cohen· Zenodo (CERN European Organi...· 0 citations
The Topology of Transformation: From Admissibility to Observability in Discrete Configuration Spaces Driven by Dean A. Kulik September 2026 Introduction: The Architecture of Transformational Continuation The formal representation of dynamic systems within theoretical physics, applied mathematics, and algebraic topology...
Dean Kulik· Zenodo (CERN European Organi...· 0 citations
This research paper examines node selection in Edge Computing and Wireless Sensor Networks (WSNs), with a particular focus on target tracking, energy efficiency, and Fisher Information Matrix (FIM)-based decision-making. The study addresses the limitations of traditional positioning methods, where collecting sufficient...
Ijaz Muhammad Zeeshan· Zenodo (CERN European Organi...· 0 citations
Code and analysis outputs supporting the manuscript. Every quantity reported in the paper is drawn from the JSON files in analysis/, each produced by a script in scripts/. The study uses three kinds of data: the complete on-chain USDT histories of the 490 addresses named in Israeli counter-terrorism seizure orders and...
Abstract. The MCA concept asks for “periods extracted algebraically, without numerical integration, by combinatorics on the Bruhat–Tits tree.” Over , with motives, Chow rings and the motivic Galois group, no such statement is available. Over , with Mumford curves, Schottky groups and the p-adic period matrix, it is a t...
Roger Cooperman· Zenodo (CERN European Organi...· 0 citations
This record provides Rigorous Consolidated Core v2.8.0 of the Cut-and-Project / Incidence-Spectral Mathematical Core, with the Helix–Light–Vortex (HLV) framework retained as an active falsifiable testbed-theory instantiation under explicit claim boundaries. Version 2.8.0 integrates the completed CP-H1-FORM-MOSCO-001 th...
Marcel Krüger· Zenodo (CERN European Organi...· 0 citations
Multi-tenant Software-as-a-Service (SaaS) platforms rely on webhook change notifications from cloud APIs such as Microsoft Graph to synchronize calendar and resource-booking data in near-real time. Empirical analysis reveals a structural failure in this model, which we term webhook event amplification: a single state m...
Aayush Pandey· Zenodo (CERN European Organi...· 0 citations
PURPOSE
Mitral stenosis (MS) remains diagnostically challenging, particularly in degenerative disease, where echocardiographic parameters are often unreliable. Computed tomography (CT) planimetry has been validated for other valvular diseases, but is not established for MS. This study evaluated the feasibility and diag...
Philipp Steinhoff, Ramona Schmitt, Derek Y. Hazard et al.· The International Journal of...· 0 citations
Mandelbrot Fractal Neural Synthesis: Zero-Storage Procedural Weight Derivation and Non-Linear Decision Boundaries What's New in Version 2.0 (Major Revision & Q1 Readiness) Systems Trade-Off Framing: Reframed the central research question from raw parameter fitting to fundamental systems architecture: trading determinis...
This dataset contains high‑resolution measurements of solar irradiance and ambient temperature collected on roof (horizontal plane, I1/T1) and facade (vertical plane, I2/T2) surfaces of an urban university building in Medellín, Colombia. The monitoring system was implemented using an edge computing device that enabled...
Bonie Restrepo, Jhon Montano, Juan David Navarro Restrepo et al.· Mendeley Data· 0 citations
This code-only package accompanies the manuscript “Federated Edge Learning over Optical-UAV Access Links With Deterministic-Payload Compression and Packetized Scheduling.”The software implements static mixed-resolution compression with error feedback (SMR-EF) and PacketFair scheduling for simulated federated learning o...
The project bridges traditional static code analysis (Object-Oriented metrics) with advanced embedding representation learning to predict refactoring interventions on code-smelly methods. The predictive framework models a supervised binary classification task across 10 distinct target refactoring operations. Data Sourc...
Andrea Lanza, Matteo Bochicchio, Francesca Arcelli Fontana· Zenodo (CERN European Organi...· 0 citations
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
