Zobrazeno 1 - 10
of 27 138
pro vyhledávání: '"Afshar, A."'
In this study, we investigate the Weak Gravity Conjecture (WGC) in the context of quantum-corrected AdS-Reissner-Nordstrom (AdS-RN) black holes within Kiselev spacetime. Our focus is on photon spheres, which serve as markers for stable and unstable p
Externí odkaz:
http://arxiv.org/abs/2410.14352
Autor:
Gashti, Saeed Noori, Afshar, Mohammad Ali S., Alipour, Mohammad Reza, Sekhmani, Yassine, Sadeghi, Jafar, Rayimbaeva, Javlon
In this paper, we investigate the topological charge and the conditions for the existence of the photon sphere (PS) in Kiselev-AdS black holes within \(f(R, T)\) gravity. We employ two different methods based on Duan's topological current \(\phi\)-ma
Externí odkaz:
http://arxiv.org/abs/2410.02262
We classify a one-parameter family, $\mathfrak{confcarr}_z(d+1)$, of conformal extensions of the Carroll algebra in arbitrary dimension with $z$ being the anisotropic scaling exponent. We further obtain their infinite-dimensional extensions, $\wideti
Externí odkaz:
http://arxiv.org/abs/2409.19953
Autor:
Croxford, Emma, Gao, Yanjun, Pellegrino, Nicholas, Wong, Karen K., Wills, Graham, First, Elliot, Liao, Frank J., Goswami, Cherodeep, Patterson, Brian, Afshar, Majid
Large Language Models have advanced clinical Natural Language Generation, creating opportunities to manage the volume of medical text. However, the high-stakes nature of medicine requires reliable evaluation, which remains a challenge. In this narrat
Externí odkaz:
http://arxiv.org/abs/2409.18170
Autor:
Myers, Skatje, Miller, Timothy A., Gao, Yanjun, Churpek, Matthew M., Mayampurath, Anoop, Dligach, Dmitriy, Afshar, Majid
Objective: Applying large language models (LLMs) to the clinical domain is challenging due to the context-heavy nature of processing medical records. Retrieval-augmented generation (RAG) offers a solution by facilitating reasoning over large text sou
Externí odkaz:
http://arxiv.org/abs/2409.15163
Coronary heart disease (CHD) is a severe cardiac disease, and hence, its early diagnosis is essential as it improves treatment results and saves money on medical care. The prevailing development of quantum computing and machine learning (ML) technolo
Externí odkaz:
http://arxiv.org/abs/2409.10932
Autor:
Shamsi, Afshar, Becirovic, Rejisa, Argha, Ahmadreza, Abbasnejad, Ehsan, Alinejad-Rokny, Hamid, Mohammadi, Arash
Test time adaptation (TTA) equips deep learning models to handle unseen test data that deviates from the training distribution, even when source data is inaccessible. While traditional TTA methods often rely on entropy as a confidence metric, its eff
Externí odkaz:
http://arxiv.org/abs/2409.09251
Publikováno v:
Journal of Holography Applications in Physics 4 (3), 35-50 (2024)
In recent years, inflationary models have been studied from different perspectives using different conditions. Now, in this paper, we want to investigate the inverse monomial Inflation $(IMI)$ on the brane. We limit our results to the potentials of t
Externí odkaz:
http://arxiv.org/abs/2409.06488
Autor:
Sekhmani, Yassine, Gashti, Saeed Noori, Afshar, Mohammad Ali S., Alipour, Mohammad Reza, Sadeghi, Jafar, Rayimbaev, Javlon
The topology of black hole thermodynamics is a fascinating area of study that explores the connections between thermodynamic properties and topological features of black holes. This paper has led to several significant findings: We successfully deriv
Externí odkaz:
http://arxiv.org/abs/2409.04997
A solitonic model of the early universe is introduced by employing the Double-Sine-Gordon (DSG) potential. The model predicts the appropriate number of e-foldings ($N_e$) required for favored inflation and is an advantage for the model in addressing
Externí odkaz:
http://arxiv.org/abs/2409.04210