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| 2. |
- Abd Al Qahar Al-Kubaisy, Waqar, et al.
(författare)
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Hepatitis C virus prevalence and genotyping among hepatocellular carcinoma patients in Baghdad
- 2014
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Ingår i: Asian Pacific Journal of Cancer Prevention. - : Asian Pacific Organization for Cancer Prevention. - 1513-7368. ; 15:18, s. 7725-7730
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Tidskriftsartikel (refereegranskat)abstract
- Hepatocellular carcinoma (HCC) is the third most common cause for cancer death in the world, now being especially linked to chronic hepatitis C virus (HCV) infection. This case-control study consisting of 65 HCC patients and 82 patients with other malignant tumours as controls was conducted to determine the association of HCV markers with HCC. Serum of each participant was obtained for detection of HCV Ab and RNA by DNA enzyme immunoassay (DEIA). Twenty six per cent (26.0%) of HCC patients had positive anti-HCV which was significantly greater than the control group (p=0.001). HCC patients significantly have a risk of exposure to HCV infection almost 3 times than the control group (OR=2.87, 95% C.I=1.1-7). Anti-HCV seropositive rate was significantly (p=0.03) higher among old age HCC patients and increases with age. Males with HCC significantly showed to have more than 9 times risk of exposure to HCV infection (OR=9.375, 95 % CI=1.299-67.647) than females. HCV-RNA seropositive rate was (70.8%) significantly higher among HCC patients compared to (22.2%) the control group (p=0.019). The most prevalent genotype (as a single or mixed pattern of infection) was HCV-1b. This study detected a significantly higher HCV seropositive rate of antibodies and RNA in HCC patients.
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| 4. |
- Waqar, Noor, et al.
(författare)
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Joint power and beamforming optimization of UAV-Assisted NOMA networks for B5G-enabled smart cities
- 2021
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Ingår i: 6G-ABS 2021 - Proceedings of the 1st ACM Workshop on Artificial Intelligence and Blockchain Technologies for Smart Cities with 6G, Part of ACM MobiCom 2021. - New York, NY, USA : Association for Computing Machinery (ACM). - 9781450387019 ; , s. 25-30
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Konferensbidrag (refereegranskat)abstract
- In this paper, we consider a unmanned aerial vehicle (UAV)-enabled multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) system for a smart city environment, where a multi-Antenna UAV acts as an amplify-And-forward (AF) relay to extend the coverage to several disconnected users aided by NOMA. We present an optimization problem that jointly determines the location of the UAV, optimal beamforming at the UAV and power allocation at the base station (BS), in order to maximize the system sum-rate. Due to the severe non-convexity of the problem, we decouple the problem into three sub-problems and solve them sequentially. First, the optimal location of the UAV is determined by minimizing the total path loss. Next, the UAV beamforming is solved by transforming the problem into second-order cone programming (SOCP) and finally the power allocation at the BS is determined using linear-fractional programming (LFP). The simulation results demonstrate that the proposed scheme performs better than the baseline schemes and orthogonal multiple access (OMA) scheme.
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| 5. |
- Thomas, HS, et al.
(författare)
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- 2019
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swepub:Mat__t
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