📝 Project Description The Bio-Fluidic-Mechatronic Oncology Lattice (BFM-OL) is a conceptual, closed-loop neuro-surgical architecture designed to achieve the localized eradication of glioblastoma multiforme (GBM) and other aggressive central nervous system malignancies. Moving away from traditional systemic chemotherap...
David Michael Seagal· Zenodo (CERN European Organi...· 0 citations
Cloud computing provides scalable computing resources, flexible data storage, and data-analysis capabilities for processing heterogeneous data generated by Internet of Things (IoT) sensors, unmanned aerial vehicles, and digital farming platforms in smart agriculture. Within the 2020–2025 evidence corpus, cloud-only and...
Sara Diouani· Social Sciences & Humanities...· 0 citations
Creators:Kriger, Boris. ORCID 0009-0001-0034-2903. Affiliations: Information Physics Institute, Gosport, Hampshire, United Kingdom; Institute of Integrative and Interdisciplinary Research, Toronto, Canada. Description: Scientific papers, statutes, constitutions, judicial opinions, patents, historical chronicles and man...
Boris Kriger· Zenodo (CERN European Organi...· 0 citations
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Matching players between camera feeds in sports video is usually done with deep person re-identification (Re-ID) networks such as OSNet, which add a second learned model to the inference path. This report specifies a decoupled alternative for a broadcast camera and a tactical overhead camera. A YOLOv8 detector writes p...
OMMPRAKASH MOHANTY· Zenodo (CERN European Organi...· 0 citations
From the prime sequence, a free scale constant, and a selection predicate, we prove three things. The selected polytope is the 4-simplex Σ4Σ4. The Hessian of its squared volume at the regular point is (l6/2304)(−5I+2A)(l6/2304)(−5I+2A), with spectrum +7,−3,−9+7,−3,−9 and signature (+1,−9)(+1,−9). Every S5S5-invariant...
Deficiency Is a Module Channel-Resolved Closure, Vocabulary Granularity, and the Operator Gap on Token Arenas Driven by Dean A. Kulik October 2026 Abstract fH(V) = dim V module D = A/W, and every reader's channel deficit is a Fourier or isotypic coefficient of a single character χD = χA − χW; the projector apparatus us...
Dean Kulik· Zenodo (CERN European Organi...· 0 citations
Deficiency Is a Module Channel-Resolved Closure, Vocabulary Granularity, and the Operator Gap on Token Arenas Driven by Dean A. Kulik October 2026 Abstract fH(V) = dim V module D = A/W, and every reader's channel deficit is a Fourier or isotypic coefficient of a single character χD = χA − χW; the projector apparatus us...
Dean Kulik· Zenodo (CERN European Organi...· 0 citations
Single-file DuckDB table of 206,214 crystallographic PDB entries. This is a new version of 10.5281/zenodo.22986222. Same entries and the same RCSB source. This file adds the sorted linear search key, in columns l0–l5, and a schema_meta table (schema_version = 2, search_key = sorted_linear_key). The deposited cells, spa...
Petrus Zwart· Zenodo (CERN European Organi...· 0 citations
FINDING: Antichiral edge modes in topological semimetals violate the usual bulk-edge correspondence — two copropagating edge channels with opposite velocities emerge from a Chern-number-carrying bulk, characterized via transfer matrix eigenvalues. | MATH: The key structure is the transfer matrix \( T(k_x) \) across the...
Andrew Stewart Caldin· Zenodo (CERN European Organi...· 0 citations
EL-RAKHAWI CONVERGENT CONSTITUTIONAL ENGINEERING: EXECUTIVE SUMMARY This treatise transforms abstract European constitutional law into enforceable physical systems, addressing algorithmic liability, legislative amnesia, EU-national friction, and democratic backsliding. It introduces four mathematical indices (ACLI, LCI...
mohamed kamal arafa el-rakhawi· Zenodo (CERN European Organi...· 0 citations
Image segmentation in cloud-edge visual analytics needs to balance pixel-level accuracy with practical constraints such as inference latency, model size, and communication cost. Most existing segmentation models tend to rely on heavy backbone networks or complicated feature fusion designs to improve accuracy, which lim...
Yujie Li, Huihui Zhang, Guoxu Liu et al.· Journal Of Big Data· 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