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Gatti, U. C., O. H. El-Anwar, G. C. Migliaccio, and K. Y. Lin, "Quantifying the Impacts of Failures of Departments of Transportation's Building Systems on Transportation System Users", Transportation Research Record: Journal of the Transportation Research Board, vol. 2440, pp. 85-83, 2014.
El-Hadidi, M., H. Anis, S. El-Akabawi, A. Fahmy, M. Salem, A. Tantawy, A. El-Rafie, M. Saleh, T. El-Ahmady, I. Abdel-Moniem, et al., "Quantifying the ICT Needs of Academic Institutes Using the Service Category-Stakeholder Matrix Approach", Information Communications Technology, 2008. ICICT 2008. ITI 6th International Conference on, pp. 107-113, Dec, 2008. Abstract
Abdel-Fatah, N. A., "Quantifying the Community Effect on Contraceptive Use in Egypt.", Athens Journal of Social Sciences, vol. 7, issue 1, pp. 49-62, 2020.
Abdel-Fatah, N. A., and Y. S. Hegzi, "Quantifying students’ perception for deconstruction architecture", Ain Shams EngineeringJournal , vol. 9, issue 4, pp. 2745 - 2754, 2018. 1-s2.0-s209044791730120x-main.pdf
Tageldin, H., and et al, "Quantifying resistance to sliding in orthodontics: A systematic review (Prof. Emad Daif was a peer reviewer for this article).", British Journal of Medicine and Medical Research, In Press.
Mehanny, S. S. F., "Quantifying Relative Error in Calculated Period of Vibration for Skeletal Structures", Journal of Engineering and Applied Science, vol. 53, issue 6, pp. 765-784, 2006.
el-Saadani, S., M. Saleh, and S. A. Ibrahim, "Quantifying non-communicable diseases’ burden in Egypt using State-Space model", PLOS ONE, issue August 10, 2021, 2021. journal.pone_.0245642.pdf
el-Saadani, S., M. Saleh, and S. A. Ibrahim, "Quantifying non-communicable diseases’ burden in Egypt using State-Space model", Plos-One, vol. 16, issue 8, pp. 23, 2021.
Wu, B., F. Tian, M. Zhang, S. Piao, H. Zeng, W. Zhu, J. Liu, A. Elnashar, and Y. Lu, "Quantifying global agricultural water appropriation with data derived from earth observations", Journal of Cleaner Production, vol. 358, pp. 131891, 2022. AbstractWebsite

Agricultural water appropriation has undergone rapid changes in recent decades, but estimates of global water appropriation have not been updated with the latest data and consistent methods. Documenting these changes is challenging given the heterogeneous water use landscape and the growing influence of human activities worldwide, and this complexity cannot be well addressed with the existing methodology, which is subject to large model uncertainties. Here, a spatial analysis and aggregated method was proposed to quantify and refine estimates of global agricultural water appropriation (GAWA) in terms of consumptive freshwater use, with data derived from Earth observations, independent of estimates from hydrological models. The results show the global water appropriation at the pixel scale, in agroecological zones and in the main water-consuming countries, including global maps of rainfed and irrigated cropland evapotranspiration (ET), net water consumption due to irrigation, natural ET and renewable freshwater resources (RFWR), and indicate that agriculture remains the largest user in terms of both water consumption and withdrawals worldwide, representing 87% of global water consumption, with approximately 60% of global freshwater withdrawals devoted to irrigation circa 2015. The percentage of withdrawals devoted to irrigation has decreased in recent decades when compared to the previous estimate of 70%. The results reveal the actual global crop consumptive use (8053.6 km3/yr) of blue and green water and the total human water consumption (8442 km3/yr), which represents the part of the water cycle affected by human intervention, mainly (95.4%) by agriculture. This study reveals that high-resolution irrigated croplands are essential for accurate estimations of water use appropriation and demonstrates that earth observation-derived data can provide a new understanding of global water use landscape. The study can support decision making in sustaining food and water security, and implementing water-adapted sustainable agricultural policies.

Samer, M., and W. Berg, "Quantifying gaseous emissions from a naturally ventilated dairy barn", the International DLG Exhibition for Animal Husbandry and Management (EuroTier), Hannover, Germany, November 16-19, 2010.
Gaber,  A., M. F. Taher, and M. A. Wahed, "Quantifying Facial Paralysis using the Kinect v2", International Conference of the IEEE Engineering in Medecine and Biology Society, EMBC’15, Milan, 27 August , 2015.
Breban, R., W. Doss, G. Esmat, M. Elsayed, M. Hellard, P. Ayscue, M. Albert, A. Fontanet, and M. K. Mohamed, "Quantifying current hepatitis C virus incidence in Egypt - Response to letter by Miller and Abu-Raddad", JOURNAL OF VIRAL HEPATITIS, vol. 20, no. 9, pp. 668, SEP, 2013. Abstract
Badawi, A., E. Weiss, A. Brown, M. Orton, and G. Hugo, "Quantifying Anatomical Variability in Regressing Tumors During Active Breath Hold Radiotherapy, A Modal Dominant Deformations Approach", Med. Phys., vol. 37: American Association of Physics in Medicine, AAPM, pp. 3097, 2010. Abstract
Fahmy, A. S., and N. F. Osman, "Quantification of soft tissue deformations using strain-encoded magnetic resonance imaging", Medical Imaging 2004: International Society for Optics and Photonics, pp. 62–73, 2004. Abstract
Rezk, M. R., E. R. Bendas, E. B. Basalious, and I. A. Karim, "Quantification of sofosbuvir and ledipasvir in human plasma by UPLC-MS/MS method", Journal of Chromatography B, vol. 1028, pp. 63-70, 2016.
Shabana, R., A. A. A. El-Mohsen, M. M. A. Khalifa, and A. A. Saber, "Quantification of resistance of F6 sesame elite lines against Charcoal-rot and Fusarium wilt diseases", Advance in Agriculture and Biology, vol. 1, issue 3, pp. 144-150, 2014. 7.pdf
Shabana, R., A. A. A. El-Mohsen, M. M. A. Khalifa, and A. A. Saber, Quantification of resistance of F6 sesame elite lines against Charcoal-rot and Fusarium wilt diseases, , 2014. Abstract
El-Sharkawy, A. E. - M. M., R. E. Gabr, M. Schär, R. G. Weiss, and P. A. Bottomley, "Quantification of human high-energy phosphate metabolite concentrations at 3 T with partial volume and sensitivity corrections.", NMR in biomedicine, vol. 26, issue 11, pp. 1363-71, 2013 Nov. Abstract

Practical noninvasive methods for the measurement of absolute metabolite concentrations are key to the assessment of the depletion of myocardial metabolite pools which occurs with several cardiac diseases, including infarction and heart failure. Localized MRS offers unique noninvasive access to many metabolites, but is often confounded by nonuniform sensitivity and partial volume effects in the large, poorly defined voxels commonly used for the detection of low-concentration metabolites with surface coils. These problems are exacerbated at higher magnetic field strengths by greater radiofrequency (RF) field inhomogeneity and differences in RF penetration with heteronuclear concentration referencing. An example is the (31)P measurement of cardiac adenosine triphosphate (ATP) and phosphocreatine (PCr) concentrations, which, although central to cardiac energetics, have not been measured at field strengths above 1.5 T. Here, practical acquisition and analysis protocols are presented for the quantification of [PCr] and [ATP] with one-dimensionally resolved surface coil spectra and concentration referencing at 3 T. The effects of nonuniform sensitivity and partial tissue volumes are addressed at 3 T by the application of MRI-based three-dimensional sensitivity weighting and tissue segmentation. The method is validated in phantoms of different sizes and concentrations, and used to measure [PCr] and [ATP] in healthy subjects. In calf muscle (n = 8), [PCr] = 24.7 ± 3.4 and [ATP] = 5.7 ± 1.3 µmol/g wet weight, whereas, in heart (n = 18), [PCr] = 10.4 ± 1.5 and [ATP] = 6.0 ± 1.1 µmol/g wet weight (all mean ± SD), consistent with previous reports at lower fields. The method enables, for the first time, the efficient, semi-automated quantification of high-energy phosphate metabolites in humans at 3 T with nonuniform excitation and detection.

Azab, S. M., and A. M. Fekry, Quantification of Daclatasvir using Electrochemical Techniques, : LAP Lambert Academic Publishing, 2017.
Azab, S. M., and A. M. Fekry, Quantification of Daclatasvir using Electrochemical Techniques, : LAP Lambert Academic Publishing, 2017.
Ibrahim, M. M., B. E. G. Nahass, and H. A. Ibrahim, "QUANTIFICATION OF BONE ARCHITECTURAL CHANGES SECONDARY TO TREADMILL RUNNING EXERCISE IN ADULT OSTEOPENIC RATS", 16th international WCPT congress , Amsterdam Holland, 21 June 2011. wpt_2011_-_abstract_archive.pdf
Rezk, M. R., and K. A. Badr, "Quantification of amlodipine and atorvastatin in human plasma by UPLC-MS/MS method and its application to a bioequivalence study", Biomedical Chromatography, vol. 32, issue 7, pp. e4224, 2018.
Said, D. G., Y. Hassan, and O. A. Abd El Halim, "Quantification and Utilization of Driver Path in Improving Design of Highway Horizontal Curves", Transportation Research Board 86th Annual Meeting, no. 07-2033, 2007. Abstract