Zobrazeno 1 - 10
of 3 868
pro vyhledávání: '"Abassi, A."'
Autor:
Hemberg, Martin, Marini, Federico, Ghazanfar, Shila, Ajami, Ahmad Al, Abassi, Najla, Anchang, Benedict, Benayoun, Bérénice A., Cao, Yue, Chen, Ken, Cuesta-Astroz, Yesid, DeBruine, Zach, Dendrou, Calliope A., De Vlaminck, Iwijn, Imkeller, Katharina, Korsunsky, Ilya, Lederer, Alex R., Meysman, Pieter, Miller, Clint, Mullan, Kerry, Ohler, Uwe, Patikas, Nikolaos, Schuck, Jonas, Siu, Jacqueline HY, Triche Jr., Timothy J., Tsankov, Alex, van der Laan, Sander W., Yajima, Masanao, Yang, Jean, Zanini, Fabio, Jelic, Ivana
The field of single-cell biology is growing rapidly and is generating large amounts of data from a variety of species, disease conditions, tissues, and organs. Coordinated efforts such as CZI CELLxGENE, HuBMAP, Broad Institute Single Cell Portal, and
Externí odkaz:
http://arxiv.org/abs/2408.06563
Autor:
Abassi, Ahmad, Wilkening, Jon
We propose a semi-analytic Stokes expansion ansatz for finite-depth standing water waves and devise a recursive algorithm to solve the system of differential equations governing the expansion coefficients. We implement the algorithm on a supercompute
Externí odkaz:
http://arxiv.org/abs/2401.00844
Autor:
Muharram, Arief Purnama, Haryono, Hollyana Puteri, Juma, Abassi Haji, Puspasari, Ira, Utama, Nugraha Priya
Publikováno v:
2023 IEEE International Conference on Data and Software Engineering (ICoDSE), Toba, Indonesia, 2023, pp. 25-30
Reading and interpreting chest X-ray images is one of the most radiologist's routines. However, it still can be challenging, even for the most experienced ones. Therefore, we proposed a multi-model deep learning-based automated chest X-ray report gen
Externí odkaz:
http://arxiv.org/abs/2310.05969
Publikováno v:
Journal of Islamic International Medical College, Vol 19, Iss 3, Pp 201-208 (2024)
Objective: To explore healthcare professionals' attitudes toward research, identify key barriers they face, and uncover potential solutions for overcoming these obstacles, as proposed by the professionals themselves. Study Design: Exploratory Sequen
Externí odkaz:
https://doaj.org/article/13f6b52462f1455aa33e977c78e13df2
Autor:
Nejmeddine Ouerghi, Wissal Abassi, Nidhal Jebabli, Moncef Feki, Anissa Bouassida, Katja Weiss, Thomas Rosemann, Beat Knechtle
Publikováno v:
BMC Research Notes, Vol 17, Iss 1, Pp 1-6 (2024)
Abstract The study aimed to investigate the effects of acute ingestion of saffron (SAF) on physiological (i.e., heart rate and blood lactate) and perceptual (i.e., ratings of perceived exertion [RPE] and feeling scale) measures in response to a repea
Externí odkaz:
https://doaj.org/article/95c3d358ae5041a7b8529725f72ea667
Autor:
Emna Abassi, Lotfi Khériji
Publikováno v:
Ural Mathematical Journal, Vol 10, Iss 1, Pp 4-17 (2024)
Here we consider a certain transfert operator \(\mathrm{M}_{(c,\omega)}=I_{\mathcal{P}}-c \, \tau_{\omega},\) \(\omega\neq0,\) \({c \in \mathbb{R}-\{0,1\},}\) and we prove the following statement: up to an affine transformation, the only orthogonal s
Externí odkaz:
https://doaj.org/article/680ce37a739b447585ee8a1b5d5f05c1
Publikováno v:
European Journal of Remote Sensing, Vol 57, Iss 1 (2024)
This study evaluated the potential of the Single Scattering Radiative Transfer (SSRT) model coupled with the Oh model to retrieve surface soil moisture (SSM) in two drip-irrigated wheat fields in the Tensift al Haouz plain, over three growing seasons
Externí odkaz:
https://doaj.org/article/40462d4fdc8d492480378e87ec6148b7
Autor:
Tesnim Dallegi, Syrine Ben Hassen, Nedra Rached, Farah Menjji, Roufaida Abassi, Ameur Cherif, Soumaya Kouidhi, Mouldi Saidi, Amor Mosbah
Publikováno v:
European Journal of Medicinal Chemistry Reports, Vol 12, Iss , Pp 100182- (2024)
The TRPV1 receptor has been recognized to play a role in cancer development, being overexpressed in prostate, breast, lung, and colon cancers. Since TRPV1 activation promotes cancer cell proliferation, invasion, and migration, TRPV1 antagonists may s
Externí odkaz:
https://doaj.org/article/9f13a8a33065400b97b92671fdb23dc0
Publikováno v:
GigaByte (2024)
The expanding availability of large-scale genomic data and the growing interest in uncovering gene-disease associations call for efficient tools to visualize and evaluate gene expression and genetic variation data. Here, we developed a comprehensive
Externí odkaz:
https://doaj.org/article/8c76f9a6865c410c8e658dbd2f68d020
Autor:
Abdolreza Mohamadnia, Amir Jalal Abassi, Farnoush Mohammadi, Seyedeh Zahra Fotook Kiaei, Mona Mohajeri Tehrani, Somaieh Lookzadeh, Fatemeh Yassari, Shadi Shafaghi, Farnaz Ahmadi, Naghmeh Bahrami
Publikováno v:
Journal of Craniomaxillofacial Research, Vol 11, Iss 2 (2024)
Introduction: Mucormycosis, an infection, with a high death rate, requires understanding its symptoms, diagnosis methods and treatment options due, to its growing occurrence. The research employs a molecular method to evaluate the diagnosis of the mu
Externí odkaz:
https://doaj.org/article/1e65530c3bfe42618749d7c3416542a8