Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Mohammed Obeidat"'
Publikováno v:
Cogent Social Sciences, Vol 8, Iss 1 (2022)
This study investigates the role of translation in (re)framing different narratives of the Christchurch Mosque Shootings. It focuses on how translators utilized the paratextual elements to re-frame this terror attack and circulate the ideological att
Externí odkaz:
https://doaj.org/article/8913324ddf3a41c6b695935bcbd61a48
Autor:
Liam Mullen, Mohammed N. Meah, Ahmed Elamin, Suneil Aggarwal, Adeel Shahzad, Matthew Shaw, Jaroslav Hasara, Muhammad Rashid, Michael Fisher, Turab Ali, Billal Patel, Wern Y. Ding, Ruth Grainger, Thomas Heseltine, Bilal H. Kirmani, Mohammed Obeidat, Yande Kasolo, Jecko Thatchil, Aleem Khand
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 10, Iss 8 (2021)
Background Major bleeding after acute coronary syndrome predicts a poor outcome but is challenging to define. The choice of antiplatelet influences bleeding risk. Methods and Results Major bleeding, subsequent myocardial infarction (MI), and all‐ca
Externí odkaz:
https://doaj.org/article/5a1bdb165625475aa1ad1ae17d6bf17b
Autor:
Michael Fisher, Billal Patel, Mohammed Obeidat, Ruth Grainger, Pei Chew, Liam Mullen, Khaled Albouaini
Publikováno v:
BMJ Open, Vol 10, Iss 6 (2020)
Objectives Early access to invasive coronary angiography and revascularisation for high-risk non-ST elevation myocardial infarction (NSTEMI) improves outcomes and is supported by current guidelines. We sought to determine the most effective criteria
Externí odkaz:
https://doaj.org/article/24b78da05f29498b8191a7005882098f
Publikováno v:
Journal of Probability and Statistics, Vol 2020 (2020)
This paper studies estimation of the parameters of the generalized Gompertz distribution based on ranked-set sample (RSS). Maximum likelihood (ML) and Bayesian approaches are considered. Approximate confidence intervals for the unknown parameters are
Externí odkaz:
https://doaj.org/article/804d11dd5528406e88cbfed3c94206bf
Autor:
Aymen Rawashdeh, Mohammed Obeidat
Publikováno v:
Austrian Journal of Statistics, Vol 48, Iss 4 (2019)
The main purpose of this paper is to perform linear regression analysis on a continuous aggregate outcome from a Bayesian perspective using a Markov chain Monte Carlo algorithm (Gibbs sampling). In many situations, data are partially available due to
Externí odkaz:
https://doaj.org/article/fd78f32bdbc244f9bb793d06238bf144
Publikováno v:
Oman Medical Journal, Vol 27, Iss 4, Pp 274-280 (2012)
Background: Hypercholesterolemia (HC) is a major risk factor in the development of coronary heart disease (CHD). Serum cholesterol is directly related to complications and mortalities associated with heart diseases. There are a few studies that descr
Externí odkaz:
https://doaj.org/article/ee8201433fd4422db1bfd8d51ae276de
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 2, Pp 102441- (2024)
Despite the numerous benefits of sustainable construction to the climate, it also presents several problems to the professional practice of sustainable building, including awareness, actions, and barriers, particularly in the Jordan construction indu
Externí odkaz:
https://doaj.org/article/c75ab7a91017449ba38f15f6deb5cf76
Publikováno v:
Cardiology Clinics. 40:245-258
Publikováno v:
2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS).
Publikováno v:
Minerva Obstetrics and Gynecology.
2,4-dinitrophenol (DNP), an uncoupling mitochondrial agent, has been identified as a source of oxidative stress and linked to the pathogenesis of ovarian cancer. In this study, we determine the cytotoxic effect of DNP alone or in combination with che