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Kourghly, E. K. M., W. I. Zidan, M. A. Samei, A. A. El-Salam, and W. Osman, Characterization of Liquid Waste in Isotope production and Research Facilities , , 2015.
Mostafa, Y., A. OSman, D. Hassanein, and A. Zeid, "Iris reconstruction using artificial iris prosthesis for management of aniridia", European Journal of Ophthalmology, 2017.
Taha, A. A., A. E. Noman, T. A. Mahboub, and A. A. Zaki, "Pre-operative predictive estimation of abdominal flap volume for breast reconstruction using ultrasound and an anthropometric method", European Journal of Plastic Surgery, 2018.
Abdel Mawella, S. M., H. A. Hussein, F. Zyada, A. Abdelaal, D. R. Ayoub, and A. Naguy, "Psychoendocrinology: arginine vasopressin and resilience in patients with major depressive disorder.", CNS spectrums, 2021. Abstract

BACKGROUND: There is a burgeoning body of evidence suggesting that arginine vasopressin (AVP) acts as a neuromodulator of the stress response. AVP stimulates the release of adrenocorticotropic hormone, synergistic to corticotropin-releasing hormone, which might explain AVP's role in resilience. Personal hardiness is the bedrock of resilience. Numerous studies have demonstrated elevated plasma levels of AVP in patients with major depressive disorder (MDD), suggesting an etiopathogenetic role as well as a novel therapeutic target.

OBJECTIVE: The aim of this study was to examine the relationship between AVP and resilience in patients with MDD and to determine AVP levels in serum of patients with MDD.

METHODS: Forty patients with MDD and 40 healthy control subjects were studied using the Dispositional Resilience (Hardiness) Scale by Barton, the Quality of Life Scale, the Social Readjustment Rating Scale, and the Beck Depression Inventory. Biochemical analysis of plasma levels of AVP, using the enzyme-linked immunosorbent assay (ELISA), was performed for all participants.

RESULTS: Levels of AVP were statistically significantly elevated in patients with MDD compared with healthy controls. Psychological hardiness was decreased in patients with MDD compared with healthy controls, a finding also statistically significant. There was a negative correlation between plasma AVP level and psychological hardiness.

CONCLUSION: AVP and psychological hardiness are negatively correlated, reflecting lower stress resilience. AVP levels are indeed higher in patients struggling with MDD.

Nesma, Ramadan, A., A. E. R. Ramadan, A. R. Zahran, and M. M. Gadallah, Determinants of Family Budget Allocation: A Fractional Multinomial Logit Model, , Giza, Cairo University, 2016.
Abdelaal, A. G. E., H. A. Alghamri, S. S. Ghaleb, A. A. Zyed, M. Elgamal, and S. Abdelsattar, 1. Medicolegal Significance of Diffuse Axonal Injury. A Forensic, Histopathological and Immunohistochemical Interpretation. , : Cairo University, 2011.
Zawam, S. H. M., A. Gad, I. E. Geady, and M. K. A. el Aziz, All thorough arthroscopic reduction and fixation of depressed tibial plateau fractures, , 2018.
Zedan, M., S. A. Shouman, A. Elnoury, and M. abd elaziz, Applications of Laser Technologies in nanogenotoxicity of Gold Nanoparticles in Mammals: In Vitro Study, , Giza, Cairo University, NILES, 2016.
Saad, I., S. Abdelaziz, A. Zeeneldin, A. Eltoni, and I. Loay, Assessment of axillary nodal status post neoadjuvant chemotherapy in breast cancer: rationale and predictors, , Cairo, Cairo, 2013.
Zaki, S. M., T. E. Abdlgalil, and A. G. Metawee, Assessment of different parameters of mandible using cone beam CT scan, : Cairo University, 2018.
Zawbaa, H. M., and A. E. Hassanien, Automatic Soccer Video Summarization, , Cairo, Cairo Unversity, 2012. Abstract

This thesis presents an automatic soccer video summarization system using machine learning (ML) techniques. The proposed system is composed of ve phases. Namely; in the pre-processing phase, the system segments the whole video stream into small video shots. Then, in the shot processing
phase, it applies two types of classi cation (shot type classi cation and play / break classification) to the video shots resulted from the pre-processing phase. Afterwards, in the replay detection phase, the proposed system applies two machine learning algorithms, namely; support vector machine (SVM) and arti cial neural network (ANN), for emphasizing important segments with championship logo appearance. Also, in the excitement event detection phase, the proposed system uses both machine learning algorithms for detecting the scoreboard which contain an information about the score of the game. The proposed system also uses k-means algorithm and Hough line transform for detecting vertical goal posts and Gabor lter for detecting goal net. Finally, in the event detection and summarization phase, the proposed system highlights the most important events during the match. Experiments on real soccer videos demonstrate encouraging results. The event detection and summarization has attained recall 94% and precision 97.3% for soccer match videos from ve international soccer championships.

Zayed, M. A., City planning in the era of information technology, : Cairo University , 2003.