Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Yusra M. Obeidat"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract This paper introduces a novel solid-state electrolyte-based enzymatic sensor designed for the detection of acetone, along with an examination of its performance under various surface modifications aimed at optimizing its sensing capabilities
Externí odkaz:
https://doaj.org/article/4adc175bef58479cb56e707971aa3e12
Autor:
Khaled M. Al-Qaoud, Yusra M. Obeidat, Tareq Al-Omari, Mohammad Okour, Mariam M. Al-Omari, Mohammad I. Ahmad, Raed Alshadfan, AbdelMonem M. Rawashdeh
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract This paper introduces a novel approach for detecting the SARS-CoV-2 recombinant spike protein combining a label free electrochemical impedimetric immunosensor with the use of purified chicken IgY antibodies. The sensor employs three electrod
Externí odkaz:
https://doaj.org/article/e63bf9afc1f6416798426e63098238a0
Autor:
Yusra M. Obeidat, Ali M. Alqudah
Publikováno v:
Applied Sciences, Vol 13, Iss 14, p 8273 (2023)
In recent years, there has been a growing demand for affordable and user-friendly medical diagnostic devices due to the rise in global diseases. This study focuses on the development of an embedded system based on Raspberry Pi that enables faster and
Externí odkaz:
https://doaj.org/article/1fa39aef2a28420496713b7a9d593059
Publikováno v:
Soft Computing. 26:13405-13429
In recent years deep learning models improve the diagnosis performance of many diseases especially respiratory diseases. This paper will propose an evaluation for the performance of different deep learning models associated with the raw lung ausculta
Autor:
Giovana D Catandi, Lance LiPuma, Yusra M Obeidat, Lisa J Maclellan, Corey D Broeckling, Tom Chen, Adam J Chicco, Elaine M Carnevale
Publikováno v:
Reproduction. 163:183-198
Dietary supplementation is the most feasible method to improve oocyte function and developmental potential in vivo. During three experiments, oocytes were collected from maturing, dominant follicles of older mares to determine whether short-term diet
Publikováno v:
Acta Scientiarum. Technology. 45:e61684
Electroencephalogram (EEG) signal classification is a crucial and very difficult task. Meanwhile, extracting features that are representative and able to discriminate different types of EEG signals is a complex task. Such features are usually fed to