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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. girerd_blood_pressure_nov_2011.pdf
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. Abstractcu_pdf.pdf

Background: 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. 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. egu2017-3824-3.pdf
Xia, K., J. Li, H. G. Shuangjiu Xiao, 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, issue 4, 2013. fuzzy_clustering_with_multi-resolution_bilateral_filtering_for_medical_image_segmentation-revision.pdf
Xiao, K., S. H. Ho, and others, "Automatic unsupervised segmentation methods for mri based on modified fuzzy c-means", Fundamenta Informaticae, vol. 87, no. 3-4: IOS Press, pp. 465–481, 2008. Abstract
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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. AbstractWebsite

Global 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., A. E. Hassanien, and N. I. Ghali, "Medical image segmentation using information extracted from deformation", Computer Science and Information Systems (FedCSIS), 2011 Federated Conference on: IEEE, pp. 157–163, 2011. Abstract
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Xiao, K., S. H. Ho, and others, "Automatic unsupervised segmentation methods for mri based on modified fuzzy c-means", Fundamenta Informaticae, vol. 87, no. 3-4: IOS Press, pp. 465–481, 2008. Abstract
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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.
Xiao, K., A. E. Hassanien, and N. I. Ghali, "Medical image segmentation using information extracted from deformation", Computer Science and Information Systems (FedCSIS), 2011 Federated Conference on: IEEE, pp. 157–163, 2011. Abstract
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Xiao, K., L. A. Liang, Haibing Guan, and A. E. Hassanien, "Extraction and application of deformation-based feature in medical images", Neurocomputing, vol. 120: Elsevier, pp. 177–184, 2013. Abstract
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Xiao, K., A. E. Hassanien, Y. Sun, and E. K. K. Ng, "Brain mr image tumor segmentation with ventricular deformation", Image and Graphics (ICIG), 2011 Sixth International Conference on: IEEE, pp. 297–302, 2011. Abstract
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Xiao, K., Alei Liang, Haibing Guan, and A. E. Hassanien, " Extraction and application of deformation-based feature in medical images.", Neurocomputing :, vol. 120, pp. 177-184, 2013. Website
Xiao, K., L. A. Liang, Haibing Guan, and A. E. Hassanien, "Extraction and application of deformation-based feature in medical images", Neurocomputing, vol. 120: Elsevier, pp. 177–184, 2013. Abstract
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Xiao, W., H. Zeineldin, and P. Zhang, "Statistic and Parallel Testing Procedure for Evaluating Maximum Power Point Tracking Algorithms of Photovoltaic Power Systems", accepted for publication in IEEE Journal on Photovoltaics, 2013.
Xiao, K., A. E. Hassanien, Y. Sun, and E. K. K. Ng, "Brain mr image tumor segmentation with ventricular deformation", Image and Graphics (ICIG), 2011 Sixth International Conference on: IEEE, pp. 297–302, 2011. Abstract
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Xiao, K., S. H. Ho, and A. E. Hassanien, "Aboul Ella Hassanien: Automatic Unsupervised Segmentation Methods for MRI Based on Modified Fuzzy C-Means", Fundamenta Informaticae, vol. 87, issue 3-4, pp. 465-481, 2008. Website
Xiao, K., S. H. Ho, and A. E. Hassanien, "Brain magnetic resonance image lateral ventricles deformation analysis and tumor prediction", Malaysian Journal of Computer Science, vol. 20, no. 2: Faculty of Computer Science and Information Technology, pp. 115, 2007. Abstract
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Xiao, S., S. Wang, D. Jiang, X. Cheng, X. Zhu, F. Lin, B. Yu, H. Dong, X. Wang, M. Munir, et al., "VP2 virus-like particles elicit protective immunity against duckling short beak and dwarfism syndrome in ducks.", Transboundary and emerging diseases, 2021. Abstract

Duckling short beak and dwarfism syndrome virus (SBDSV), an emerging goose parvovirus, has caused short beak and dwarfism syndrome (SBDS) in Chinese duck flocks since 2015. Presently, there is no commercial vaccine against SBDS. In the present study, a virus-like particle (VLP)-based candidate vaccine was developed against this disease. A baculovirus expression system was used to express the SBDSV VP2 protein in Sf9 cells. Immunofluorescence assay, sodium dodecyl sulphate-polyacrylamide gel electrophoresis (SDS-PAGE) and Western blotting were used to confirm protein expression. Furthermore, transmission electron microscopy was used to observe the formation of VLPs. VLPs were formulated into an oil-adjuvanted maternal vaccine to evaluate humoral responses in breeding ducks via latex particle agglutination inhibition assay (LPAI) and microneutralization assay. The offspring were challenged with SBDSV to test the protective efficacy. A single dose of SBDSV was able to induce the high level of LPAI antibodies in ducks, with LPAI and neutralization peak titres of 4.9 ± 1.20 log2 and 7.1 ± 1.20 log2, respectively, at 4 weeks post-vaccination (wpv). The average LPAI titre of yolk antibodies in duck eggs receiving 2 doses (first and boost doses) of the vaccine was 5.3 ± 1.09 log2 at 4 weeks post-boost. The protective efficacy of the maternal vaccine was 87.5%-100%. These results indicate that SBDSV VLPs can be a promising vaccine candidate for controlling SBDS.

Xiao, S., C. X. Liu, Y. Wang, A. Koulakezian, H. Abdelgawad, A. Tizghadam, B. Abdulhai, A. Leon-Garcia, X. Jiang, and D. H. C. Du, "Intelligent", Transportation, vol. 7, no. 2, 2015. Abstract
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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. Abstract
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Xiao, K., S. H. Ho, and A. E. Hassanien, "Brain magnetic resonance image lateral ventricles deformation analysis and tumor prediction", Malaysian Journal of Computer Science, vol. 20, no. 2: Faculty of Computer Science and Information Technology, pp. 115, 2007. Abstract
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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, X., S. Zhai, Z. Yao, T. Tazawa, H. -qing Zhao, Y. Li, M. R. Meselhy, N. Nakamura, T. Akao, and M. Hattori, "和漢医薬学雑誌= Journal of traditional medicines 20 (5), 201-207, 2003-10-20", Prog. Neurobiol, vol. 56, pp. 211-235, 1998. Abstract
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