Zobrazeno 1 - 10
of 5 875
pro vyhledávání: '"Fathallah, A."'
The purpose of the present work is to construct estimators for the random effects in a fractional diffusion model using a hybrid estimation method where we combine parametric and nonparametric thechniques. We precisely consider $n$ stochastic process
Externí odkaz:
http://arxiv.org/abs/2409.04331
This paper deals with the problem of global parameter estimation of AD(1, n) where n is a positive integer which is a subclass of affine diffusions introduced by Duffie, Filipovic, and Schachermayer. In general affine models are applied to the pricin
Externí odkaz:
http://arxiv.org/abs/2406.07653
Autor:
Marwa Matboli, Ibrahim Abdelbaky, Abdelrahman Khaled, Radwa Khaled, Shaimaa Hamady, Laila M. Farid, Mariam B. Abouelkhair, Noha E. El-Attar, Mohamed Farag Fathallah, Manal S. Abd EL Hamid, Gena M. Elmakromy, Marwa Ali
Publikováno v:
Lipids in Health and Disease, Vol 23, Iss 1, Pp 1-21 (2024)
Abstract Background Nonalcoholic Steatohepatitis (NASH) results from complex liver conditions involving metabolic, inflammatory, and fibrogenic processes. Despite its burden, there has been a lack of any approved food-and-drug administration therapy
Externí odkaz:
https://doaj.org/article/7f9f1aafac9f416a820d6f9b007e84d0
The Bifidobacterium adolescentis BAD_1527 gene encodes GH43_22 α-L-arabinofuranosidase of AXH-m type
Autor:
Walid Fathallah, Vladimír Puchart
Publikováno v:
AMB Express, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Bifidobacterium adolescentis gene BAD_1527 has previously been suggested to code for a β-xylosidase (Kobayashi et al., Mar Drugs 18:174, 2020). Our detailed investigation of the substrate specificity of the GH43_22 protein using a wide spec
Externí odkaz:
https://doaj.org/article/e90668753ad64bf78d6b6ab16a22cfaa
Autor:
Li, Hongwei Bran, Conte, Gian Marco, Anwar, Syed Muhammad, Kofler, Florian, Ezhov, Ivan, van Leemput, Koen, Piraud, Marie, Diaz, Maria, Cole, Byrone, Calabrese, Evan, Rudie, Jeff, Meissen, Felix, Adewole, Maruf, Janas, Anastasia, Kazerooni, Anahita Fathi, LaBella, Dominic, Moawad, Ahmed W., Farahani, Keyvan, Eddy, James, Bergquist, Timothy, Chung, Verena, Shinohara, Russell Takeshi, Dako, Farouk, Wiggins, Walter, Reitman, Zachary, Wang, Chunhao, Liu, Xinyang, Jiang, Zhifan, Familiar, Ariana, Johanson, Elaine, Meier, Zeke, Davatzikos, Christos, Freymann, John, Kirby, Justin, Bilello, Michel, Fathallah-Shaykh, Hassan M., Wiest, Roland, Kirschke, Jan, Colen, Rivka R., Kotrotsou, Aikaterini, Lamontagne, Pamela, Marcus, Daniel, Milchenko, Mikhail, Nazeri, Arash, Weber, Marc André, Mahajan, Abhishek, Mohan, Suyash, Mongan, John, Hess, Christopher, Cha, Soonmee, Villanueva, Javier, Colak, Meyer Errol, Crivellaro, Priscila, Jakab, Andras, Albrecht, Jake, Anazodo, Udunna, Aboian, Mariam, Yu, Thomas, Baid, Ujjwal, Bakas, Spyridon, Linguraru, Marius George, Menze, Bjoern, Iglesias, Juan Eugenio, Wiestler, Benedikt
Automated brain tumor segmentation methods have become well-established and reached performance levels offering clear clinical utility. These methods typically rely on four input magnetic resonance imaging (MRI) modalities: T1-weighted images with an
Externí odkaz:
http://arxiv.org/abs/2305.09011
Autor:
Kofler, Florian, Meissen, Felix, Steinbauer, Felix, Graf, Robert, Oswald, Eva, de da Rosa, Ezequiel, Li, Hongwei Bran, Baid, Ujjwal, Hoelzl, Florian, Turgut, Oezguen, Horvath, Izabela, Waldmannstetter, Diana, Bukas, Christina, Adewole, Maruf, Anwar, Syed Muhammad, Janas, Anastasia, Kazerooni, Anahita Fathi, LaBella, Dominic, Moawad, Ahmed W, Farahani, Keyvan, Eddy, James, Bergquist, Timothy, Chung, Verena, Shinohara, Russell Takeshi, Dako, Farouk, Wiggins, Walter, Reitman, Zachary, Wang, Chunhao, Liu, Xinyang, Jiang, Zhifan, Familiar, Ariana, Conte, Gian-Marco, Johanson, Elaine, Meier, Zeke, Davatzikos, Christos, Freymann, John, Kirby, Justin, Bilello, Michel, Fathallah-Shaykh, Hassan M, Wiest, Roland, Kirschke, Jan, Colen, Rivka R, Kotrotsou, Aikaterini, Lamontagne, Pamela, Marcus, Daniel, Milchenko, Mikhail, Nazeri, Arash, Weber, Marc-André, Mahajan, Abhishek, Mohan, Suyash, Mongan, John, Hess, Christopher, Cha, Soonmee, Villanueva-Meyer, Javier, Colak, Errol, Crivellaro, Priscila, Jakab, Andras, Albrecht, Jake, Anazodo, Udunna, Aboian, Mariam, Iglesias, Juan Eugenio, Van Leemput, Koen, Bakas, Spyridon, Rueckert, Daniel, Wiestler, Benedikt, Ezhov, Ivan, Piraud, Marie, Menze, Bjoern
A myriad of algorithms for the automatic analysis of brain MR images is available to support clinicians in their decision-making. For brain tumor patients, the image acquisition time series typically starts with a scan that is already pathological. T
Externí odkaz:
http://arxiv.org/abs/2305.08992
This paper deals with the problem of global parameter estimation of affine diffusions in $\mathbb{R}_+ \times \mathbb{R}^n$ denoted by $AD(1, n)$ where $n$ is a positive integer which is a subclass of affine diffusions introduced by Duffie et al in [
Externí odkaz:
http://arxiv.org/abs/2303.08467
Autor:
Nielsen, Ian E., Ramachandran, Ravi P., Bouaynaya, Nidhal, Fathallah-Shaykh, Hassan M., Rasool, Ghulam
The expansion of explainable artificial intelligence as a field of research has generated numerous methods of visualizing and understanding the black box of a machine learning model. Attribution maps are generally used to highlight the parts of the i
Externí odkaz:
http://arxiv.org/abs/2303.08866
Publikováno v:
Journal of Materials Research and Technology, Vol 30, Iss , Pp 146-163 (2024)
The effect of special grain boundary development via the grain boundary engineering process (GBE) was explored in a bimodal microstructured 316L austenitic stainless steel with an average grain size of 1.92 μm. The GBE process was carried out by the
Externí odkaz:
https://doaj.org/article/fb79beb29bb241eea6f27cbabf3ebe50
Autor:
Fattaneh Salemi, Fathallah Karimzadeh, Mohammad-Hasan Abbasi, Fatemeh Moradi, Duc Hoa Pham, Jaehwan Kim
Publikováno v:
International Journal of Smart and Nano Materials, Vol 15, Iss 2, Pp 365-386 (2024)
This paper systematically investigates the effective parameter on the performance of polydimethylsiloxane/graphene (PDMS@Gr)-based triboelectric nanogenerators (TENGs) as well as their applications. PDMS@Gr films containing 0, 0.05, 0.5, 1, and 1.5 w
Externí odkaz:
https://doaj.org/article/d1c64a6e79714111bb4a8e5398aa6501