Zobrazeno 1 - 10
of 1 490
pro vyhledávání: '"Sharma, Umesh"'
Publikováno v:
Eur. Phys. J. Plus (2024) 139:170
Is thermodynamics consistent with the quantum gravity reconciliation hypothesis [A. G. Cohen et al. Phys. Rev. Lett. 82, 4971 (1999)], which establishes holographic dark energy models? Here, we have attempted to address this issue in the affirmative
Externí odkaz:
http://arxiv.org/abs/2304.06494
Casimir energy is always suggested as a possible source to create a traversable wormhole. It is also used to demonstrate the existence of negative energy, which can be created in a lab. To generalize, this idea, Yukawa modification of Casimir source
Externí odkaz:
http://arxiv.org/abs/2303.04641
Publikováno v:
Journal of Accounting in Emerging Economies, 2023, Vol. 14, Issue 2, pp. 422-449.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JAEE-10-2021-0308
Publikováno v:
EPJC 83, 143 (2023)
By extending the standard holographic principle to a cosmological framework and combining the non-flat condition with the Kaniadakis entropy, we construct the non-flat Kaniadakis holographic dark energy model. The model employs Kaniadakis parameter $
Externí odkaz:
http://arxiv.org/abs/2211.15468
The proposed model is a study of the nature of dark energy through non-extensive Tsallis entropy. The method is based on the Karolyhazy relation which is a combined idea from quantum physics and general relativity. Dark energy is the energy density o
Externí odkaz:
http://arxiv.org/abs/2205.01095
In this manuscript, we present a novel dark energy model to study the nature of dark energy. Non-extensive Kaniadakis entropy and, timescale as infrared cutoff are the major tools of the current study. Age of the Universe will serve the purpose of in
Externí odkaz:
http://arxiv.org/abs/2205.03272
Autor:
Tang, Siyi, Tariq, Amara, Dunnmon, Jared, Sharma, Umesh, Elugunti, Praneetha, Rubin, Daniel, Patel, Bhavik N., Banerjee, Imon
Publikováno v:
IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 4, pp. 2071-2082, April 2023
Measures to predict 30-day readmission are considered an important quality factor for hospitals as accurate predictions can reduce the overall cost of care by identifying high risk patients before they are discharged. While recent deep learning-based
Externí odkaz:
http://arxiv.org/abs/2204.06766