Results 161 to 170 of about 274,225 (273)

Disentangling contributions to longitudinal magnetoconductivity for Kramers-Weyl nodes. [PDF]

Sci Rep
Mandal I.
europepmc   +1 more source

Quenching the Hubbard Model: Comparison of Nonequilibrium Green's Function Methods

Contributions to Plasma Physics, EarlyView.
ABSTRACT We benchmark nonequilibrium Green's function (NEGF) approaches for interaction quenches in the half‐filled Fermi–Hubbard model in one and two dimensions. We compare fully self‐consistent two‐time Kadanoff–Baym equations (KBE), the generalized Kadanoff–Baym ansatz (GKBA), and the recently developed NEGF‐based quantum fluctuations approach (NEGF‐
Jan‐Philip Joost, Christopher Makait, Alexander Osterkorn, Erik Schroedter   +3 more
wiley   +1 more source

Surgery and positive Bakry-Émery Ricci curvature. [PDF]

Calc Var Partial Differ Equ
Reiser P, Tripaldi F.
europepmc   +1 more source

Statistical Discrimination of Urinary Steroid Biomarkers in the Athlete Biological Passport: A Novel Approach to an Abnormal Steroid Profile Score (ASPS)

Drug Testing and Analysis, EarlyView.
The study developed a single Abnormal Steroid Profile Score (ASPS) to improve interpretation of the Athlete Biological Passport steroid module. Using Bayesian modelling and logistic regression, biomarker patterns from laboratory and doping control data successfully discriminated between doped and clean individuals, with improved classification ...
James G. Hopker, Jim E. Griffin, Matthew N. Fedoruk, Laura A. Lewis   +3 more
wiley   +1 more source

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

Deep Underground Science and Engineering, EarlyView.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang, Maohui Wang, Ning Wang, Yixin Shen, Xuzhen He   +4 more
wiley   +1 more source

Quantum-like representation of neuronal networks' activity: modeling "mental entanglement". [PDF]

Front Hum Neurosci
Khrennikov A, Yamada M.
europepmc   +1 more source

Twin Quadratic Polynomial Vector Fields in the Space C3

In this paper we study quadratic polynomial vector fields on C3 with 8 isolated singularities. Either two polynomial vector fields share six singularities with the same position and spectra and the remaining two singularities have some relation on their spectra, or two polynomial vector fields share five singularities with the same position and spectra
Llibre, Jaume, Valls, Clàudia
openaire   +1 more source

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

Adjoint <i>L</i>-functions, congruence ideals, and Selmer groups over GL n. [PDF]

Res Number Theory
Fong HL.
europepmc   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source