Zobrazeno 1 - 10
of 662
pro vyhledávání: '"A. Alolayan"'
Publikováno v:
Journal of Infection and Public Health, Vol 13, Iss 2, Pp 344-345 (2020)
Externí odkaz:
https://doaj.org/article/5fa09e16cf3e468e9f62c79e6fcbcd3f
Autor:
Yousef Aldahman, Peter M. B. Cahusac, Saad Alnazhan, Ayman Mandorah, Ra’ed Alsadhan, Asma Aljebaly, Faisal Alnassar, Abdulrahman Alolayan
Publikováno v:
Saudi Endodontic Journal, Vol 14, Iss 3, Pp 312-321 (2024)
Introduction: Clinical practice demands understanding the complexity of the root canal system to achieve desired treatment goals. The statistically detailed morphology of the tooth and root canal morphology is very important to know. Therefore, the p
Externí odkaz:
https://doaj.org/article/79eae87b4e594ce9afba0e9b6a403744
Autor:
Sarah Alkhunein, Rehab Alawad, Omar Alhumaidan, Bushra Fatani, Abeer Alolayan, Tarfah Alfelyeh, Shihana Alakeel, Yara Almuhtadi
Publikováno v:
Frontiers in Nutrition, Vol 11 (2024)
IntroductionThe prevalence of diet-related non-communicable diseases has increased. A low-carbohydrate diet (LCDs) is one of the most popular interventions. Several systematic reviews and meta-analyses of randomised clinical trials (RCTs) and non-RCT
Externí odkaz:
https://doaj.org/article/d9bc24e674e2462a83bba5e2d52ce014
Reformulating the history matching problem from a least-square mathematical optimization problem into a Markov Decision Process introduces a method in which reinforcement learning can be utilized to solve the problem. This method provides a mechanism
Externí odkaz:
http://arxiv.org/abs/2211.07434
Autor:
Mohamed Yacin Sikkandar, Sankar Ganesh Sundaram, Ahmad Alassaf, Ibrahim AlMohimeed, Khalid Alhussaini, Adham Aleid, Salem Ali Alolayan, P. Ramkumar, Meshal Khalaf Almutairi, S. Sabarunisha Begum
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Polyp detection is a challenging task in the diagnosis of Colorectal Cancer (CRC), and it demands clinical expertise due to the diverse nature of polyps. The recent years have witnessed the development of automated polyp detection systems to
Externí odkaz:
https://doaj.org/article/12faaca63b514f9880d9d672e683475c
Autor:
Mohammed Alfawaz, Resheed Alkhiari, Abdulaziz Abdulrahman Albuhayjani, Abdulmajeed Albarrak, Muath Yousef Alharbi, Adi Abdulaziz R Aldubaiyan, Abdullah Hamad Alkharraz, Omar Abdulaziz Alolayan, Omar Alrasheedi, Nawaf Almutairi, Faisal Aljehani, Enad Alsolami, Waleed Alghamdi, Hani Jawa
Publikováno v:
Journal of Family Medicine and Primary Care, Vol 13, Iss 3, Pp 827-832 (2024)
Objective: It is well known that celiac disease has a negative influence on patients' health and quality of life. It has a wide range of presentation from symptomless to multiple organ dysfunction but mainly gastrointestinal symptoms. Consequently, i
Externí odkaz:
https://doaj.org/article/001ebe8b747248c19db2cdfbbce7f23d
Autor:
Rakan Alanazi, Ahmed Aljizeeri, Ahmed Alsaileek, Azzam Alrashid, Ashwaq Alolayan, Mohammad Alkaiyat, Basel Alenazy, Hussam Shehata, Joud Alqahtani, Husam Ardah, Kanan Alshammari
Publikováno v:
Clinical Medicine Insights: Oncology, Vol 18 (2024)
Background: Soft tissue sarcoma (STS) is a rare malignancy that affects soft tissues. It encompasses various subtypes and requires different treatment strategies. Doxorubicin is a commonly used anthracycline in the management of localized and metasta
Externí odkaz:
https://doaj.org/article/aba5deea1a1d43518c95fe200683c120
Autor:
Ahmad Alassaf, Ibrahim AlMohimeed, Mohammed Alghannam, Saddam Alotaibi, Khalid Alhussaini, Adham Aleid, Salem Alolayan, Mohamed Yacin Sikkandar, Maryam M. Alhashim, Sabarunisha Begum Sheik, Natteri M. Sudharsan
Publikováno v:
Heliyon, Vol 10, Iss 5, Pp e26946- (2024)
Scoliosis is a medical condition marked by an abnormal lateral curvature of the spine, typically forming a sideways “S” or “C” shape. Mechanically, it manifests as a three-dimensional deformation of the spine, potentially leading to diverse c
Externí odkaz:
https://doaj.org/article/65d0920031ca4756b6ab3485d2c5902a
Deep neural networks can generate more accurate shale gas production forecasts in counties with a limited number of sample wells by utilizing transfer learning. This paper provides a way of transferring the knowledge gained from other deep neural net
Externí odkaz:
http://arxiv.org/abs/2106.11051
Autor:
Omar A, Kaseb A, Elbaz T, El-Kassas M, El Fouly A, Hanno AF, El Dorry A, Hosni A, Helmy A, Saad AS, Alolayan A, Eysa BE, Hamada E, Azim H, Khattab H, Elghazaly H, Tawfik H, Ayoub H, Khaled H, Saadeldin I, Waked I, Barakat EMF, El Meteini M, Hamed Shaaban M, EzzElarab M, Fathy M, Shaker M, Sobhi M, Shaker MK, ElGharib M, Abdullah M, Mokhtar M, Elshazli M, Heikal OMK, Hetta O, ElWakil RM, Abdel Wahab S, Eid SS, Rostom Y
Publikováno v:
Journal of Hepatocellular Carcinoma, Vol Volume 10, Pp 1547-1571 (2023)
Ashraf Omar,1 Ahmed Kaseb,2 Tamer Elbaz,1 Mohamed El-Kassas,3 Amr El Fouly,3 Abdel Fatah Hanno,4 Ahmed El Dorry,5 Ahmed Hosni,6 Amr Helmy,7 Amr S Saad,8 Ashwaq Alolayan,9 Basem Elsayed Eysa,10 Emad Hamada,11 Hamdy Azim,11 Hany Khattab,12 Hesham Elgha
Externí odkaz:
https://doaj.org/article/02e0b7f2f23a4fd5959514dffd639005