Zobrazeno 1 - 10 of 14 pro vyhledávání: '"Mohamed Elshal"'
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Akademický článek
Concanavalin-A Shows Synergistic Cytotoxicity with Tamoxifen via Inducing Apoptosis in Estrogen Receptor-Positive Breast Cancer: In Vitro and Molecular Docking Studies
Autor: Mohamed Elshal, Norhan Eid, Ibrahim El-Sayed, Wael El-Sayed, Ahmed Ali Al-Karmalawy
Publikováno v: Pharmaceutical Sciences, Vol 28, Iss 1, Pp 76-85 (2022)
Background: Tamoxifen (TAM) is the main treatment of estrogen receptor (ER)-positive breast cancer, however; its adverse effects and development of resistance hinder its use. Concanavalin A (Con A) is a mannose/glucose-binding lectin that has been re
Externí odkaz: https://doaj.org/article/e7a82e8afdb64dbfb7d7f7dd621adaa4
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2
Akademický článek
Immunohistochemical staining of leptin is associated with grade, stage, lymph node involvement, recurrence, and hormone receptor phenotypes in breast cancer
Autor: Mohamad Nidal Khabaz, Amer Abdelrahman, Nadeem Butt, Lila Damnhory, Mohamed Elshal, Alia M. Aldahlawi, Swsan Ashoor, Basim Al-Maghrabi, Pauline Dobson, Barry Brown, Kaltoom Al-Sakkaf, Mohmmad Al-Qahtani, Jaudah Al-Maghrabi
Publikováno v: BMC Women's Health, Vol 17, Iss 1, Pp 1-8 (2017)
Abstract Background Obesity is part of the established risk factors for breast cancer (BC) in postmenopausal females. Circulating leptin increases in parallel with the increase of body weight and fat reservoir. Methods This research investigated the
Externí odkaz: https://doaj.org/article/4bd6da9908df47a3a43176e5ffcf6edd
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4
Akademický článek
Decentralized fault-tolerant control of multi-mobile robot system addressing LiDAR sensor faults
Autor: Ahmed M. Elsayed, Mohamed Elshalakani, Sherif A. Hammad, Shady A. Maged
Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract The control of multi-robot formations is a crucial aspect in various applications, such as transport, surveillance and monitoring environments. Maintaining robots in a specific formation pose or performing a cooperative task is a significant
Externí odkaz: https://doaj.org/article/e48041a6508e42b5b7b94f753d827adc
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8
Antitumor activity and antioxidant role of a novel water-soluble carboxymethyl chitosan-based copolymer
Autor: Manar Refaat, Mohamed El-Far, Ibrahim M. El-Sherbiny, Mohamed Elshal
Publikováno v: Drug Development and Industrial Pharmacy. 37:1481-1490
In this study, a natural polymer, chitosan (CS) has been converted through modified procedures to produce a water-soluble nontoxic form that has been evaluated as a novel potential antitumor drug. CS was carboxymethylated and then further modified in
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ba34db7d60b5947f18f6247076ca28f
https://doi.org/10.3109/03639045.2011.587430
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9
Quantification of circulating endothelial cells in peripheral blood of systemic lupus erythematosus patients: a simple and reproducible method of assessing endothelial injury and repair
Autor: Philip McCoy, Hamada M. M. Sayed Ahmed, Hanan M. Fathy, Abeer Abdelaziz, Khaled Mahmoud, Mohamed Elshal, Shereif El-Basyuoni, Shaimaa El Mongy, Ayman Abbas
Publikováno v: Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association. 24(5)
Background Quantification of circulating endothelial cells (CECs) in peripheral blood is developing as a novel and reproducible method of assessing endothelial damage/dysfunction. Accordingly, elevated levels of CECs may be a marker of vascular injur
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::711778d5e6469b2c3edd895516a40f0b
https://pubmed.ncbi.nlm.nih.gov/19039027
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10
Akademický článek
A Deep-Learning Model for Underwater Position Sensing of a Wake’s Source Using Artificial Seal Whiskers
Autor: Mohamed Elshalakani, Muthukumar Muthuramalingam, Christoph Bruecker
Publikováno v: Sensors, Vol 20, Iss 12, p 3522 (2020)
Various marine animals possess the ability to track their preys and navigate dark aquatic environments using hydrodynamic sensing of the surrounding flow. In the present study, a deep-learning model is applied to a biomimetic sensor for underwater po
Externí odkaz: https://doaj.org/article/b8998c24fbb143d894b0e75ff9a107f7
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