Results 41 to 50 of about 36,491 (198)

Multi-orbital simplified parquet equations for strongly correlated electrons

, 2010
We extend an approximation earlier developed by us for the single-impurity Anderson model to a full-size impurity solver for models of interacting electrons with multiple orbitals.
Augustinsky, Pavel, Janis, Vaclav
core   +1 more source

A Transcriptional Map of Human Tonsil Architecture: Beyond the Sum of (Single Cell) Parts

European Journal of Immunology, Volume 56, Issue 1, January 2026.
Picture‐book compartmentalization makes tonsillar tissue an ideal model to study spatial immunology. Using single‐molecule imaging (SMI) of whole‐tissue sections, we showcase many an alternative view on tissue composition and architecture that these data and concomitant analyses provide—at the level of single cells, cellular neighborhoods, and ...
Helena L. Crowell, Laura Llaó‐Cid, Gerard Frigola, Samuel Gunz, Irene Ruano, Patricia Lorden, Max Ruiz, Marta Kulis, José Ignacio Martin‐Subero, Holger Heyn, Elias Campo, Anna Pascual‐Reguant   +11 more
wiley   +1 more source

O papel do Ministério Público na justiça negocial criminal no Brasil

Boletim IBCCRIM
O presente artigo visa analisar a relevância do Ministério Público no contexto da Justiça Negocial Criminal no Brasil. Para alcançar esse objetivo, é examinada a compatibilidade da justiça negocial com o sistema jurídico baseado no civil law, com ênfase ...
Galtiênio da Cruz Paulino
doaj   +1 more source

Stability of self-consistent solutions for the Hubbard model at intermediate and strong coupling

, 1999
We present a general framework how to investigate stability of solutions within a single self-consistent renormalization scheme being a parquet-type extension of the Baym-Kadanoff construction of conserving approximations.
A. Georges, A. Georges, A.A. Abrikosov, A.D. Jackson, B. Roulet, C. De Dominicis, C. De Dominicis, C. De Dominicis, C. De Dominicis, D.R. Hamann, E. Dagotto, E.H. Lieb, G. Baym, G. Baym, G. Moeller, J. Schlipf, M. Jarrell, M. Vilk, N.E. Bickers, N.E. Bickers, N.E. Bickers, N.E. Bickers, N.E. Bickers, P. Nozières, P.G.J. van Dongen, R. Bulla, R. Bulla, R.A. Weiner, R.A. Weiner, S. Kehrein, V. Janiš, V. Janiš, V.V. Sudakov, X.Y. Zhang, Y.M. Vilk   +34 more
core   +1 more source

An Efficient Intrusion Detection System Using Domain‐Aware Meta‐Learning with Adapter‐Based Few‐Shot Adaptation in Vehicular Ad‐Hoc Networks (VANETs)

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
Integrated IDS pipeline for anomaly detection in vehicular ad hoc networks (VANETs), from domain construction to adapter tuning, with decision nodes and diagnostic feedback. ABSTRACT Vehicular ad hoc networks (VANETs) face critical security threats, including false position reports, replayed messages and denial of service (DoS) attacks, which can ...
Abuzar Khan, Ahmad Junaid, Ghassan Husnain, Khalid J. Alzahrani, Hend Khalid Alkahtani   +4 more
wiley   +1 more source

A Transmittance-optimized, Point-focus Fresnel Lens Solar Concentrator [PDF]

, 1984
The development of a point-focus Fresnel lens solar concentrator for high-temperature solar thermal energy system applications is discussed. The concentrator utilizes a transmittance-optimized, short-focal-length, dome-shaped refractive Fresnel lens as ...
Oneill, M. J.
core   +1 more source

A mean-field theory of Anderson localization

, 2004
Anderson model of noninteracting disordered electrons is studied in high spatial dimensions. We find that off-diagonal one- and two-particle propagators behave as gaussian random variables w.r.t. momentum summations. With this simplification and with the
D. Vollhardt, J. Kolorenč, K. Efetov, V. Janiš   +3 more
core   +1 more source

AI‐Based Approaches for Analyzing EEG Signals to Identify Epileptic Seizures: A Survey

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Electroencephalography (EEG) is a fundamental tool for monitoring brain activity and is widely used in the diagnosis and management of epilepsy. With the growing prevalence of epilepsy and the limitations of manual EEG interpretation, artificial intelligence (AI) techniques, particularly machine learning (ML) and deep learning (DL), have gained ...
Daniel Moges Tadesse, Olyad Mulugeta Gonfa, Naod Demissie Workafesku, Eshtaol Girma Bayessa, Samuel Rahimeto Kebede, Taye Girma Debele, Fraol Gelana Waldamichael, Hiwot Taye Mekonnen, Tariku Fekadu Assore, Medina Fedlu Mehammed, Paulo Sergio Marques dos Santos   +10 more
wiley   +1 more source

Fermi-edge singularity and the functional renormalization group

, 2018
We study the Fermi-edge singularity, describing the response of a degenerate electron system to optical excitation, in the framework of the functional renormalization group (fRG).
Kugler, Fabian B., von Delft, Jan
core   +1 more source

Enhancing Wind Turbine Diagnostics With SCADA‐Vibration Fusion, Contrastive Learning, and Linear Predictive Coefficients

Structural Control and Health Monitoring, Volume 2026, Issue 1, 2026.
Wind energy plays a pivotal role in the transition to sustainable power generation. However, maintaining the reliability and efficiency of wind turbine (WT) remains a significant challenge due to complex operational conditions and the high cost associated with unexpected failures.
Cristian Velandia-Cárdenas, Yolanda Vidal, Francesc Pozo, Fabio Casciati   +3 more
wiley   +1 more source