Zobrazeno 1 - 10
of 1 683
pro vyhledávání: '"Shati, A. A."'
Publikováno v:
2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Exeter, United Kingdom, 2023, pp. 2706-2713
A wide range of respiratory diseases, such as cold and flu, asthma, and COVID-19, affect people's daily lives worldwide. In medical practice, respiratory sounds are widely used in medical services to diagnose various respiratory illnesses and lung di
Externí odkaz:
http://arxiv.org/abs/2309.04505
Publikováno v:
Journal of Family Medicine and Primary Care, Vol 13, Iss 10, Pp 4181-4187 (2024)
Background Breastfeeding is an important determinant of child survival. Breastfeeding practices vary throughout the nation. Objectives To assess the breastfeeding practices and the knowledge of recently delivered mothers regarding breastfeeding pract
Externí odkaz:
https://doaj.org/article/d1951d0ad1f5487bbe729c44bccf980d
Autor:
Heba W. Alhamdi, Fatma Alzahraa Mokhtar, Fouad Lamghari Ridouane, Ali A. Shati, Serag Eldin I. Elbehairi, Lamiaa I. Fahmy, Mohammad Y. Alfaifi, Nada K. Sedky, Heba A. Fahmy
Publikováno v:
Artificial Cells, Nanomedicine, and Biotechnology, Vol 52, Iss 1, Pp 529-550 (2024)
Lens culinaris L., has been widely recognized for its medical applications. LC-ESI-TOF-MS identified 22 secondary metabolites including phenolics, flavonoids, and anthocyanidin glycosides among its total extract (LCTE). The study aimed to apply LCTE
Externí odkaz:
https://doaj.org/article/da72f1dd24144311827dbd46c16f6338
Autor:
Heba W. Alhamdi, Hanan Khalaf Anazi, Fatma Alzahraa Mokhtar, Seham S. Elhawary, Serag Eldin I. Elbehairi, Mohammad Y. Alfaifi, Ali A. Shati, Lamiaa I. Fahmy, Engy Elekhnawy, Afnan Hassan, Walaa A. Negm, Sherif Ashraf Fahmy, Nabil Selim
Publikováno v:
Artificial Cells, Nanomedicine, and Biotechnology, Vol 52, Iss 1, Pp 411-425 (2024)
This study uses the aerial parts of Panicum maximum total extract (PMTE) to synthesize silver nanoparticles (AgNPs) in an environmentally friendly manner. TEM, SEM, FTIR, X-ray powder diffraction (XRD), Zeta potential, UV, and FTIR were used to chara
Externí odkaz:
https://doaj.org/article/a9700c789727422d8b52099bd60b9a37
Autor:
Syed Mohammed Basheeruddin Asdaq, Sultan Alshehri, Sarah Abdulrahman Alajlan, Fadah Hasan Hasino, Shatha Khalid Alhammad, Taraf Shati Al Anazi, Reham Mansour Alasfr, Munirah Fahad Al Otaibi
Publikováno v:
Journal of Infection and Public Health, Vol 17, Iss 6, Pp 1013-1022 (2024)
Background: Disability is a serious health issue that can have a significant impact on both physical and mental health. This study attempted to investigate the relationship between depression, quality of life (QOL), and COVID-19 challenges faced by p
Externí odkaz:
https://doaj.org/article/c2ed7d1613ad4f9fb39bc231e5de9aae
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Introduction The World Health Organization (WHO) places great importance on oral health promotion programs in schools, given that approximately one billion people worldwide are students. This demographic not only includes the students themse
Externí odkaz:
https://doaj.org/article/33654b33a0eb4b1a89785b178c9ae727
Constrained clustering is a semi-supervised task that employs a limited amount of labelled data, formulated as constraints, to incorporate domain-specific knowledge and to significantly improve clustering accuracy. Previous work has considered exact
Externí odkaz:
http://arxiv.org/abs/2301.12671
Autor:
Anwar Abd Shati
Publikováno v:
الاكاديمي, Iss 113 (2024)
This research deals with the most important element of the dramatic construction, which is the cinematic character within the cinematic image space, and the ways in which the character is transformed and adapted to film events, through verbs and reac
Externí odkaz:
https://doaj.org/article/3311727afd174af7b0cded104f9ed0a9
Publikováno v:
Al-Mustansiriyah Journal of Science, Vol 35, Iss 3 (2024)
Background: Arabic image captioning (AIC) is the automatic generation of text descriptions in the Arabic language for images. Applies a transfer learning approach in deep learning to enhance computer vision and natural language processing. There are
Externí odkaz:
https://doaj.org/article/71cdc31250474135889a5c882e17c11e
Autor:
Zunaira Javaid, Muhammad Aamir Iqbal, Saher Javeed, Siti Sarah Maidin, Kareem Morsy, Ali A. Shati, Jeong Ryeol Choi
Publikováno v:
Frontiers in Chemistry, Vol 12 (2024)
Biosensing, a promising branch of exploiting nanophotonic devices, enables meticulous detection of subwavelength light, which helps to analyze and manipulate light-matter interaction. The improved sensitivity of recent high-quality nanophotonic biose
Externí odkaz:
https://doaj.org/article/3d9ad2c71a8a48ba80f7a58bb59c8256