X, Z., R. SH, X. Y, E. T, Z. AR, A. AO, A. - H. M, T. V, E. SF, F. X, et al.,
"The Core/E1 Domain of Hepatitis C Virus Genotype 4a in Egypt Does not Contain Viral Mutations or Strains Specific for Hepatocellular Carcinoma",
Journal of Clinical Virology, vol. 52, issue 4, 2011.
AbstractBackground: Hepatitis C virus (HCV) infection is a well-documented etiological factor for hepatocellular carcinoma (HCC). As HCV shows remarkable genetic diversity, an interesting and important issue is whether such a high viral genetic diversity plays a role in the incidence of HCC. Prior data on this subject are conflicting.
X, G., R. D, A. J, and A. C. T. U. A. L. on behalf of study investigators,
"Efficacy and safety of early versus late titration of fixed-dose irbesartan/ hydrochlorothiazide: ACTUAL study.",
Blood pressure, vol. 20, issue 2, pp. 22-29, 2011.
X. Huang, Q. Zhang, S. Chen, Y. Dong, M. Xiao, and HAMED L. M. M.,
"Aggregate Stability and Erodibility of Purple Soil on Sloping Farmland as affected by different Soil Thickness",
19th EGU General Assembly, EGU2017, proceedings from the conference held 23-28 April, 2017 in Vienna, Austria., p.3824, Vienna, Austria, 23-28 April, 2017.
Xiao, K., J. Li, S. Xiao, Haibing Guan, F. Fang, and A. E. Hassanien,
"Fuzzy Clustering with Multi-Resolution Bilateral Filtering for Medical Image Segmentation",
International Journal of Fuzzy System Applications (IJFSA), vol. 3, no. 4: IGI Global, pp. 47–59, 2013.
Abstractn/a
Xiao, R., A. Ali, Y. Xu, H. Abdelrahman, R. Li, Y. Lin, N. Bolan, S. M. Shaheen, J. Rinklebe, and Z. Zhang,
"Earthworms as candidates for remediation of potentially toxic elements contaminated soils and mitigating the environmental and human health risks: A review",
Environment International, vol. 158, pp. 106924, 2022.
AbstractGlobal concerns towards potentially toxic elements (PTEs) are steadily increasing due to the significant threats that PTEs pose to human health and environmental quality. This calls for immediate, effective and efficient remediation solutions. Earthworms, the 'ecosystem engineers', can modify and improve soil health and enhance plant productivity. Recently, considerable attention has been paid to the potential of earthworms, alone or combined with other soil organisms and/or soil amendments, to remediate PTEs contaminated soils. However, the use of earthworms in the remediation of PTEs contaminated soil (i.e., vermiremediation) has not been thoroughly reviewed to date. Therefore, this review discusses and provides comprehensive insights into the suitability of earthworms as potential candidates for bioremediation of PTEs contaminated soils and mitigating environmental and human health risks. Specifically, we reviewed and discussed: i) the occurrence and abundance of earthworms in PTEs contaminated soils; ii) the influence of PTEs on earthworm communities in contaminated soils; iii) factors affecting earthworm PTEs accumulation and elimination, and iv) the dynamics and fate of PTEs in earthworm amended soils. The technical feasibility, knowledge gaps, and practical challenges have been worked out and critically discussed. Therefore, this review could provide a reference and guidance for bio-restoration of PTEs contaminated soils and shall also help developing innovative and applicable solutions for controlling PTEs bioavailability for the remediation of contaminated soils and the mitigation of the environment and human risks.
Xiao, K., S. H. Ho, A. E. Hassanien, V. N. Du, and Q. Salih,
" Fuzzy C-means clustering with adjustable feature weighting distribution for brain MRI ventricles segmentation. ",
SIP 2007: 466-471, Honolulu, Hawaii, USA, August 20-22, 2007.
Xie, M., D. Zabek, C. Bowen, M. Abdelmageed, and M. Arafa,
"Wind-driven pyroelectric energy harvesting device",
Smart Materials and Structures, vol. Volume 25, issue Number 12, 2016.
Xingbin Ma, Hongling Lin, Yahui Hea, Yongxin Shea, Miao Wanga, A.M. Abd El-Aty, and N. A..Afifi,
"Magnetic molecularly imprinted polymers doped with grapheneoxide for the selective recognition and extraction of four flavonoidsfrom Rhododendron species",
Chromatography A, vol. 1595, issue -, pp. 39-48, 2019.
Xiong, G., L. Li, A. W. Mohamed, X. Yuan, and J. Zhang,
A new method for parameter extraction of solar photovoltaic models using gaining–sharing knowledge based algorithm,
, vol. 7, pp. 3286 - 3301, 2021.
AbstractFor the solar photovoltaic (PV) system to operate efficiently, it is necessary to effectively establish an equivalent model of PV cell and extract the relevant unknown model parameters accurately. This paper introduces a new metaheuristic algorithm, i.e., gaining-sharing knowledge based algorithm (GSK) to solve the solar PV model parameter extraction problem. This algorithm simulates the process of knowledge acquisition and sharing in the human life cycle and is with strong competitiveness in solving optimization problems. It includes two significant phases. The first phase is the beginner–intermediate or junior acquisition and sharing stage, and the second phase is the intermediate–expert or senior acquisition and sharing stage. In order to verify the effectiveness of GSK, it is applied to five PV models including the single diode model, double diode model, and three PV modules. The influence of population size on the algorithm performance is empirically investigated. Besides, it is further compared with some other excellent metaheuristic algorithms including basic algorithms and advanced algorithms. Among the five PV models, the root mean square error values between the measured data and the calculated data of GSK are 9.8602E−04 ± 2.18E−17, 9.8280E−04 ± 8.72E−07, 2.4251E−03 ± 1.04E−09, 1.7298E−03 ± 6.25E−18, and 1.6601E−02 ± 1.44E−16, respectively. The results show that GSK has overall better robustness, convergence, and accuracy.