Zobrazeno 1 - 10
of 212
pro vyhledávání: '"Ahmed, Faris"'
Autor:
Saba, Arianna, Thompson, Alexandra, Yip, Kai Hou, Ma, Sushuang, Tsiaras, Angelos, Al-Refaie, Ahmed Faris, Tinetti, Giovanna
We present a population study of 20 exoplanets, ranging from Neptune-like to inflated hot-Jupiter planets, observed during transit with the STIS and WFC3 instruments aboard the Hubble Space Telescope. To obtain spectral information from the near-UV t
Externí odkaz:
http://arxiv.org/abs/2404.15505
Autor:
Ma, Sushuang, Ito, Yuichi, Al-Refaie, Ahmed Faris, Changeat, Quentin, Edwards, Billy, Tinetti, Giovanna
Publikováno v:
ApJ 957 104 (2023)
In this paper, we present YunMa, an exoplanet cloud simulation and retrieval package, which enables the study of cloud microphysics and radiative properties in exoplanetary atmospheres. YunMa simulates the vertical distribution and sizes of cloud par
Externí odkaz:
http://arxiv.org/abs/2301.13708
Autor:
Farzin Kamari, Esben Eller, Mathias Emil Bøgebjerg, Ignacio Martínez Capella, Borja Arroyo Galende, Tomas Korim, Pernille Øland, Martin Lysbjerg Borup, Anja Rådberg Frederiksen, Amir Ranjouriheravi, Ahmed Faris Al-Jwadi, Mostafa Mansour, Sara Hansen, Isabella Diethelm, Marta Burek, Federico Alvarez, Anders Glent Buch, Nima Mojtahedi, Richard Röttger, Eivind Antonsen Segtnan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Individual testing of samples is time- and cost-intensive, particularly during an ongoing pandemic. Better practical alternatives to individual testing can significantly decrease the burden of disease on the healthcare system. Herein, we pre
Externí odkaz:
https://doaj.org/article/8b205d56f7c44995a2bc9312d4d3f0b4
We introduce a new Python 1D chemical kinetic code FRECKLL (Full and Reduced Exoplanet Chemical Kinetics distiLLed) to evolve large chemical networks efficiently. FRECKLL employs `distillation' in computing the reaction rates, which minimizes the err
Externí odkaz:
http://arxiv.org/abs/2209.11203
Publikováno v:
In Journal of Steroid Biochemistry and Molecular Biology January 2025 245
Autor:
Amiri, Ahmed Faris1,2 (AUTHOR) ahmedfaris.amiri@univ-msila.dz, Chouder, Aissa1 (AUTHOR) aissachouder@gmail.com, Oudira, Houcine1 (AUTHOR) houcine.oudira@univ-msila.dz, Silvestre, Santiago3 (AUTHOR) santiago.silvestre@upc.edu, Kichou, Sofiane4 (AUTHOR) sofiane.kichou@cvut.cz
Publikováno v:
Energies (19961073). Jul2024, Vol. 17 Issue 13, p3078. 23p.
Publikováno v:
In Energy Conversion and Management 1 February 2024 301
Autor:
Ahmad, Umar, Ibrahim, Buhari, Mohammed, Mustapha, Aldoghachi, Ahmed Faris, Usman, Mahmood, Yakubu, Abdulbasit Haliru, Tanko, Abubakar Sadiq, Bobbo, Khadijat Abubakar, Garkuwa, Usman Adamu, Faggo, Abdullahi Adamu, Mustapha, Sagir, Al-Masaeed, Mahmoud, Abdullah, Syahril, Keong, Yong Yoke, Veerakumarasivam, Abhi
Urothelial cell carcinoma (UCC) is the ninth most common cancer that accounts for 4.7% of all the new cancer cases globally. UCC development and progression are due to complex and stochastic genetic programmes. To study the cascades of molecular even
Externí odkaz:
http://arxiv.org/abs/2011.10372
Autor:
Muhammed Ali, Ali M., Ahmed, Faris M., Ismail, Raid A., Fakhri, Makram A., Salim, Evan T., Khashan, Khawla S.
Publikováno v:
In Physica B: Condensed Matter 15 November 2023 669
Publikováno v:
Energies, Vol 17, Iss 13, p 3078 (2024)
This work identifies the most effective machine learning techniques and supervised learning models to estimate power output from photovoltaic (PV) plants precisely. The performance of various regression models is analyzed by harnessing experimental d
Externí odkaz:
https://doaj.org/article/09154aba2e7d441ba470451bce673813