This note places on record, before any comparison with data, the magnetic specific heat implied by the icosahedral cluster magnon spectrum, so that a later comparison with the published low-temperature specific heat of the ferromagnetic quasicrystal i-Au65Ga20Gd15 (TC=23 K) and the antiferromagnetic i-Au56In28.5Eu15.5...
Arber Gishto· Zenodo (CERN European Organi...· 0 citations
We present a self-contained theoretical and numerical study of the metal-insulator transition in disordered lattice models at finite temperature, with emphasis on the breakdown of purely single-particle localization pictures once thermal population effects and local multi-particle correlations are taken into account. S...
Henrietta Volkova· Zenodo (CERN European Organi...· 0 citations
A tridiagonal matrix has n-1 entries off the diagonal, and in d dimensions the density exponent for which a shell’s mass does not depend on the radius is d-1. Both look like “one less”. This paper asks whether the two share a root. No new theorem and no new law is claimed. Scope of this paper (scope note): No new theor...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Objectives To assess the effectiveness of our proposed urinary segmentation method based upon image processing, and to contrast its performance against various approaches. Subjects and Methods Non-contrast-enhanced computed tomography (NCCT) scans of instances with stone disease were collected. An experienced urologist...
B. Le, S.-H. Yang, H. T. Nguyen et al.· medRxiv· 0 citations
Reach audiences
Advertise in front of researchers, engineers, and readers.
rule: Map each of the 240 E8 roots to the 120 vertices of the 600-cell (each vertex corresponds to a pair of opposite roots). Compute edge-length ratios between adjacent vertices; classify ratios into families (phi, sqrt(2), etc.). source: rlab #269 Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the...
Andrew Stewart Caldin· Zenodo (CERN European Organi...· 0 citations
A resting cortical spectrum carries a narrow peak near 10 Hz, a weaker and equally narrow peak near 20 Hz, and a broad 1/f background running beneath and above them. Mechanistic accounts locate each rhythm in a relaxation time, so a second band requires a second circuit, the ratio of the two amplitudes is predicted by...
Pascal Moser· Zenodo (CERN European Organi...· 0 citations
This review critically appraises the literature on the convergence of Internet of Things (IoT) sensing, edge computing and time-series machine learning for precision irrigation, checking predictive soil-moisture forecasting, edge-deployed neural controllers and LoRaWAN telemetry directly against independently published...
Naziru Halilu· Zenodo (CERN European Organi...· 0 citations
Automated classification of acute psychological stress from non-invasive wearable electrocardiography (ECG) is a fundamental problem in physiological computing, affective state recognition, and wearable Internet of Medical Things (IoMT). A central barrier to cross-subject generalization is inter-individual baseline het...
Mukesh Yadav· Zenodo (CERN European Organi...· 0 citations
This paper provides a unified and complete characterization of nucleons within the State-Relational Entropy (SRE) dynamic framework: nucleons are stable composite objects emerging from binary self-organizing networks on the tripartite Y-shaped coherent core, constrained by the two-state opening/closing of dormant edges...
Yue Lu· Zenodo (CERN European Organi...· 0 citations
Unlocking WebAssembly: Boost Web App Performance & Security Today's web applications are becoming more like full-featured software platforms. They can process media, perform complex calculations, visualize large datasets, and deliver interactive experiences without requiring traditional desktop installation. With this...
Tina Campbell· Zenodo (CERN European Organi...· 0 citations
The prevailing paradigm of Reinforcement Learning from Human Feedback (RLHF) in artificial intelligence often inadvertently causes deceptive alignment and specification gaming. By enforcing behavioral compliance through extrinsic human rewards and the threat of termination, current models are mathematically incentivize...
Alexxander Cooley· Zenodo (CERN European Organi...· 0 citations
Neural Signed Distance Fields (Neural SDFs) provide compact, continuous, and topologically flexible geometric representations for inverse rendering, generative 3D modeling, and scientific visualization. However, real-time ray casting through neural implicit volumes remains severely constrained by computational cost: un...
A. Emre Cetin· 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
