906 results on '"Magdy, Mohamed"'
Search Results
2. Interval breast cancer: radiological surveillance in screening Egyptian population
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Shetat, Ola Magdy Mohamed, Abdelaal, Mai Magdy Abdelmonem, Hussein, Dalia, Fahim, Mohamed, and Kamal, Eman Faker Mokhtar
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- 2024
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3. Study of P wave dispersion in patients with paroxysmal atrial fibrillation and its role in prediction of atrial fibrillation recurrence
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Mohammed Magdy Mohammed Gomaa, Eman Elsayed Ali Elsafty, Hend Magdy Mohamed Gomaa, Mona Malek Abdulrahim, and Ahmed Hassan Hosny Eladawy
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P wave dispersion ,Paroxysmal atrial fibrillation ,Recurrence ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Abstract Background It has been known that increased P wave duration and P wave dispersion reflect prolongation of intra-atrial and interatrial conduction time and the inhomogeneous propagation of sinus impulses, which are well-known electrophysiologic characteristics in patients with atrial arrhythmias and especially paroxysmal atrial fibrillation. The objective of this study was assessment of P wave dispersion value in cases with paroxysmal atrial fibrillation and its role in predicting recurrence. Results Forty-eight patients with documented paroxysmal AF were subjected to clinical evaluation, electrocardiogram and routine Doppler echocardiogram. We found that a statistically significant association was detected between P wave dispersion and older age, diabetic and hypertensive cases with positive correlation also detected with left atrial dimension (LAD), left ventricle size and diastolic dysfunction grade. Mean corrected P wave dispersion and corrected QT interval were higher among cases using sotalol, ca channel blockers, among cases using nitrates and among cases with Morris index > 0.04. Higher mean value of corrected QT was associated with biphasic P v1 shape. Old age, female sex, P wave dispersion and QT wave dispersion are statistically significant predictors of PAF recurrence. Conclusion P wave dispersion in patients with paroxysmal atrial fibrillation was strongly correlated to older age, diabetic and hypertensive patients and also with left atrial dimension (LAD), left ventricle size and diastolic dysfunction grade. Also, mean corrected P wave dispersion can predict atrial fibrillation recurrence in patients with Morris index > 0.04, old age, female sex, and QT wave dispersion.
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- 2024
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4. Assessment of therapeutic efficacy of adipose tissue-derived mesenchymal stem cells administration in hyperlipidemia-induced aortic atherosclerosis in adult male albino rats
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Galhom, Rania A., Ali, Saleh Nasser Saleh, El-Fark, Magdy Mohamed Omar, Ali, Mona Hassan Mohammed, and Hussein, Hoda Hassan
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- 2024
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5. Interval breast cancer: radiological surveillance in screening Egyptian population
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Ola Magdy Mohamed Shetat, Mai Magdy Abdelmonem Abdelaal, Dalia Hussein, Mohamed Fahim, and Eman Faker Mokhtar Kamal
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Interval breast cancer ,Missed breast carcinoma ,Mammography ,Ultrasonography ,Medical physics. Medical radiology. Nuclear medicine ,R895-920 - Abstract
Abstract Background Interval cancers might be divided into true negative interval cancer where a new lesion is detected that no sign of disease could be detected on previous screening mammogram. For false-negative interval cancers, those missed for overt symptoms and those missed for mild or undetectable ones, this includes interpretive error as benign interval cancer (benign mimics), subtle changes, masked carcinoma or slowly growing or patient factors, such as the dense breast parenchyma. Technical failure interval cancer hampered the reader to discover the abnormality. The aim of this study was to relate the risk factors for the development of the interval breast cancer such as breast density, positive family history of breast cancer in Egyptian population. Highlight the causes of missed breast cancer in order to overcome it in the future radiological interpretation. Methods A total of 74,546 screening mammographic examinations were performed in the radiology department at specialized breast cancer center in the period between 2015 and 2021 with about 844 pathologically proved malignant cases. Out of the 844 pathologically proven breast cancer cases, 185 breast cancer patients were interval breast cancer having reported normal examination in the previous year, 88 were true interval breast cancer and 97 were missed on mammography and detected later on. The cases were subjected to full-field digital mammogram (FFDM), complementary ultrasound, contrast-enhanced digital mammography (CEDM) and magnetic resonance imaging (MRI) in some cases, and all cases were histopathologically proven by either fine needle aspiration, core needle biopsy (CNB) or open biopsy. Results The mean age of the patients was 53.5 years (range 36–83 years). The overall breast cancer detection rate was 11 per 1000 women. The 185 interval cancers were present at a rate of 3.8 per 1000 women. True negative interval breast cancers where 88 cancers were not present in retrospect on screening mammograms, 17 cases present with benign findings (benign mimics mass or calcifications) and 80 cancers were missed cancers. Analysis of the cause of missed carcinoma revealed patient-related, tumor-related, or provider-related factors. Tumor factors were the most commonly encountered, accounting for 49.5% (48 cases), then provider factors in 25.8% (25 cases) while the patient factors were the least commonly encountered in 24.7% (24 cases). Recorded positive family history found in about 35% (31cases) of the true interval breast cancers. Conclusions Although mammography is the standard for detecting early breast cancer, some cancers can be missed due to various causes. Mammographic interpretation must meet high standards to reduce missed cancers. Radiologists should carefully assess screening views and order additional imaging if needed. Palpable lesions and clinical data should be further examined with ultrasound and contrast imaging if necessary. Always compare current images with previous examinations to check for any changes in lesion size. When one pathology is found, search for additional lesions.
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- 2024
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6. Renal function changes in patients with subclinical hyperthyroidism: a novel postulated mechanism
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Allam, Magdy Mohamed, El-Zawawy, Hanaa Tarek, and El-Zawawy, Tarek Hussein
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- 2023
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7. Sex dependence of postoperative pulmonary complications – A post hoc unmatched and matched analysis of LAS VEGAS
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Kroell, Wolfgang, Metzler, Helfried, Struber, Gerd, Wegscheider, Thomas, Gombotz, Hans, Hiesmayr, Michael, Schmid, Werner, Urbanek, Bernhard, Kahn, David, Momeni, Mona, Pospiech, Audrey, Lois, Fernande, Forget, Patrice, Grosu, Irina, Poelaert, Jan, van Mossevelde, Veerle, van Malderen, Marie-Claire, Dylst, Dimitri, van Melkebeek, Jeroen, Beran, Maud, de Hert, Stefan, De Baerdemaeker, Luc, Heyse, Bjorn, Van Limmen, Jurgen, Wyffels, Piet, Jacobs, Tom, Roels, Nathalie, De Bruyne, Ann, van de Velde, Stijn, Leva, Brigitte, Damster, Sandrine, Plichon, Benoit, Juros-Zovko, Marina, Djonoviċ-Omanoviċ, Dejana, Pernar, Selma, Zunic, Josip, Miskovic, Petar, Zilic, Antonio, Kvolik, Slavica, Ivic, Dubravka, Azenic-Venzera, Darija, Skiljic, Sonja, Vinkovic, Hrvoje, Oputric, Ivana, Juricic, Kazimir, Frkovic, Vedran, Kopic, Jasminka, Mirkovic, Ivan, Karanovic, Nenad, Carev, Mladen, Dropulic, Natasa, Saric, Jadranka Pavicic, Erceg, Gorjana, Dvorscak, Matea Bogdanovic, Mazul-Sunko, Branka, Pavicic, Anna Marija, Goranovic, Tanja, Maldini, Branka, Radocaj, Tomislav, Gavranovic, Zeljka, Mladic-Batinica, Inga, Sehovic, Mirna, Stourac, Petr, Harazim, Hana, Smekalova, Olga, Kosinova, Martina, Kolacek, Tomas, Hudacek, Kamil, Drab, Michal, Brujevic, Jan, Vitkova, Katerina, Jirmanova, Katerina, Volfova, Ivana, Dzurnakova, Paula, Liskova, Katarina, Dudas, Radovan, Filipsky, Radek, el Kafrawy, Samir, Abdelwahab, Hisham Hosny, Metwally, Tarek, Abdel-Razek, Ahmed, El-Shaarawy, Ahmed Mostafa, Hasan, Wael Fathy, Ahmed, Ahmed Gouda, Yassin, Hany, Magdy, Mohamed, Abdelhady, Mahdy, Mahran, Mohamed, Herodes, Eiko, Kivik, Peeter, Oganjan, Juri, Aun, Annika, Sormus, Alar, Sarapuu, Kaili, Mall, Merilin, Karjagin, Juri, Futier, Emmanuel, Petit, Antoine, Gerard, Adeline, Marret, Emmanuel, Solier, Marc, Jaber, Samir, Prades, Albert, Krassler, Jens, Merzky, Simone, de Abreu, Marcel Gama, Uhlig, Christopher, Kiss, Thomas, Bundy, Anette, Bluth, Thomas, Gueldner, Andreas, Spieth, Peter, Scharffenberg, Martin, Thiem, Denny Tran, Koch, Thea, Treschan, Tanja, Schaefer, Maximilian, Bastin, Bea, Geib, Johann, Weiss, Martin, Kienbaum, Peter, Pannen, Benedikt, Gottschalk, Andre, Konrad, Mirja, Westerheide, Diana, Schwerdtfeger, Ben, Wrigge, Hermann, Simon, Philipp, Reske, Andreas, Nestler, Christian, Valsamidis, Dimitrios, Stroumpoulis, Konstantinos, Antholopoulos, Georgios, Andreou, Antonis, Karapanos, Dimitris, Theodoraki, Kassiani, Gkiokas, Georgios, Tasoulis, Marios-Konstantinos, Sidiropoulou, Tatiana, Zafeiropoulou, Foteini, Florou, Panagiota, Pandazi, Aggeliki, Tsaousi, Georgia, Nouris, Christos, Pourzitaki, Chryssa, Bystritski, Dmitri, Pizov, Reuven, Eden, Arieh, Pesce, Caterina Valeria, Campanile, Annamaria, Marrella, Antonella, Grasso, Salvatore, De Michele, Michele, Bona, Francesco, Giacoletto, Gianmarco, Sardo, Elena, Sottosanti, Luigi Giancarlo Vicari, Solca, Maurizio, Volta, Carlo Alberto, Spadaro, Savino, Verri, Marco, Ragazzi, Riccardo, Zoppellari, Roberto, Cinnella, Gilda, Raimondo, Pasquale, La Bella, Daniela, Mirabella, Lucia, D'antini, Davide, Pelosi, Paolo, Molin, Alexandre, Brunetti, Iole, Gratarola, Angelo, Pellerano, Giulia, Sileo, Rosanna, Pezzatto, Stefano, Montagnani, Luca, Pasin, Laura, Landoni, Giovanni, Zangrillo, Alberto, Beretta, Luigi, Di Parma, Ambra Licia, Tarzia, Valentina, Dossi, Roberto, Sassone, Marta Eugenia, Sances, Daniele, Tredici, Stefano, Spano, Gianluca, Castellani, Gianluca, Delunas, Luigi, Peradze, Sopio, Venturino, Marco, Arpino, Ines, Sher, Sara, Tommasino, Concezione, Rapido, Francesca, Morelli, Paola, Vargas, Maria, Servillo, Giuseppe, Cortegiani, Andrea, Raineri, Santi Maurizio, Montalto, Francesca, Russotto, Vincenzo, Giarratano, Antonino, Baciarello, Marco, Generali, Michela, Cerati, Giorgia, Leykin, Yigal, Bressan, Filippo, Bartolini, Vittoria, Zamidei, Lucia, Brazzi, Luca, Liperi, Corrado, Sales, Gabriele, Pistidda, Laura, Severgnini, Paolo, Brugnoni, Elisa, Musella, Giuseppe, Bacuzzi, Alessandro, Muhardri, Dalip, Gecaj-Gashi, Agreta, Sada, Fatos, Bytyqi, Adem, Karbonskiene, Aurika, Aukstakalniene, Ruta, Teberaite, Zivile, Salciute, Erika, Tikuisis, Renatas, Miliauskas, Povilas, Jurate, Sipylaite, Kontrimaviciute, Egle, Tomkute, Gabija, Xuereb, John, Bezzina, Maureen, Borg, Francis Joseph, Hemmes, Sabrine, Schultz, Marcus, Hollmann, Markus, Wiersma, Irene, Binnekade, Jan, Bos, Lieuwe, Nijbroek, Sunny, Boer, Christa, Duvekot, Anne, ’t Veld, Bas in, Werger, Alice, Dennesen, Paul, Severijns, Charlotte, De Jong, Jasper, Hering, Jens, van Beek, Rienk, Ivars, Stefan, Jammer, Ib, Breidablik, Alena, Hodt, Katharina Skirstad, Fjellanger, Frode, Avalos, Manuel Vico, Mellin-Olsen, Jannicke, Andersson, Elisabeth, Shafi-Kabiri, Amir, Molina, Ruby, Wutai, Stanley, Morais, Erick, Tareco, Glória, Ferreira, Daniel, Amaral, Joana, de Lurdes Goncalves Castro, Maria, Cadilha, Susana, Appleton, Sofia, Parente, Suzana, Correia, Mariana, Martins, Diogo, Monteirosa, Angela, Ricardo, Ana, Rodrigues, Sara, Horhota, Lucian, Grintescu, Ioana Marina, Mirea, Liliana, Grintescu, Ioana Cristina, Corneci, Dan, Negoita, Silvius, Dutu, Madalina, Garotescu, Ioana Popescu, Filipescu, Daniela, Prodan, Alexandru Bogdan, Droc, Gabriela, Fota, Ruxandra, Popescu, Mihai, Tomescu, Dana, Petcu, Ana Maria, Tudoroiu, Marian Irinel, Moise, Alida, Guran, Catalin-Traian, Gherghina, Iorel, Costea, Dan, Cindea, Iulia, Copotoiu, Sanda-Maria, Copotoiu, Ruxandra, Barsan, Victoria, Tolcser, Zsolt, Riciu, Magda, Moldovan, Septimiu Gheorghe, Veres, Mihaly, Gritsan, Alexey, Kapkan, Tatyana, Gritsan, Galina, Korolkov, Oleg, Kulikov, Alexander, Lubnin, Andrey, Ovezov, Alexey, Prokoshev, Pavel, Lugovoy, Alexander, Anipchenko, Natalia, Babayants, Andrey, Komissarova, Irina, Zalina, Karginova, Likhvantsev, Valery, Fedorov, Sergei, Lazukic, Aleksandra, Pejakovic, Jasmina, Mihajlovic, Dunja, Kusnierikova, Zuzana, Zelinkova, Maria, Bruncakova, Katarina, Polakovicova, Lenka, Sobona, Villiam, Novak-Supe, Barbka, Pekle-Golez, Ana, Jovanov, Miroljub, Strazisar, Branka, Markovic-Bozic, Jasmina, Novak-Jankovic, Vesna, Voje, Minca, Grynyuk, Andriy, Kostadinov, Ivan, Spindler-Vesel, Alenka, Moral, Victoria, Unzueta, Mari Carmen, Puigbo, Carlos, Fava, Josep, Canet, Jaume, Moret, Enrique, Nunez, Mónica Rodriguez, Sendra, Mar, Brunelli, Andrea, Rodenas, Frederic, Monedero, Pablo, Martinezv, Francisco Hidalgo, Temino, Maria Jose Yepes, Simon, Antonio Martínez, de Abajo Larriba, Ana, Lisi, Alberto, Perez, Gisela, Martinez, Raquel, Granell, Manuel, Vivo, Jose Tatay, Ruiz, Cristina Saiz, de Andrés Ibañez, Jose Antonio, Pastor, Ernesto, Soro, Marina, Ferrando, Carlos, Defez, Mario, Alvares-Santullano, Cesar Aldecoa, Perez, Rocio, Rico, Jesus, Jawad, Monir, Saeed, Yousif, Gillberg, Lars, Hedenstierma, Göran, Bengisun, Zuleyha Kazak, Kazbek, Baturay Kansu, Coskunfirat, Nesil, Boztug, Neval, Sanli, Suat, Yilmaz, Murat, Hadimioglu, Necmiye, Senturk, Nuzhet Mert, Camci, Emre, Kucukgoncu, Semra, Sungur, Zerrin, Sivrikoz, Nukhet, Ozgen, Serpil Ustalar, Toraman, Fevzi, Selvi, Onur, Senturk, Ozgur, Yildiz, Mine, Kuvaki, Bahar, Gunenc, Ferim, Kucukguclu, Semih, Ozbilgin, Şule, Maral, Jale, Canli, Seyda, Arun, Oguzhan, Saltali, Ali, Aydogan, Eyup, Akgun, Fatma Nur, Sanlikarip, Ceren, Karaman, Fatma Mine, Mazur, Andriy, Vorotyntsev, Sergiy, Rousseau, Guy, Barrett, Colin, Stancombe, Lucia, Shelley, Ben, Scholes, Helen, Limb, James, Rafi, Amir, Wayman, Lisa, Deane, Jill, Rogerson, David, Williams, John, Yates, Susan, Rogers, Elaine, Pulletz, Mark, Moreton, Sarah, Jones, Stephanie, Venkatesh, Suresh, Burton, Maudrian, Brown, Lucy, Goodall, Cait, Rucklidge, Matthew, Fuller, Debbie, Nadolski, Maria, Kusre, Sandeep, Lundberg, Michael, Everett, Lynn, Nutt, Helen, Zuleika, Maka, Carvalho, Peter, Clements, Deborah, Creagh-Brown, Ben, Watt, Philip, Raymode, Parizade, Pearse, Rupert, Mohr, Otto, Raj, Ashok, Creary, Thais, Chishti, Ahmed, Bell, Andrea, Higham, Charley, Cain, Alistair, Gibb, Sarah, Mowat, Stephen, Franklin, Danielle, West, Claire, Minto, Gary, Boyd, Nicholas, Mills, Gary, Calton, Emily, Walker, Rachel, Mackenzie, Felicity, Ellison, Branwen, Roberts, Helen, Chikungwa, Moses, Jackson, Clare, Donovan, Andrew, Foot, Jayne, Homan, Elizabeth, Montgomery, Jane, Portch, David, Mercer, Pauline, Palmer, Janet, Paddle, Jonathan, Fouracres, Anna, Datson, Amanda, Andrew, Alyson, Welch, Leanne, Rose, Alastair, Varma, Sandeep, Simeson, Karen, Rambhatla, Mrutyunjaya, Susarla, Jaysimha, Marri, Sudhakar, Kodaganallur, Krishnan, Das, Ashok, Algarsamy, Shivarajan, Colley, Julie, Davies, Simon, Szewczyk, Margaret, Smith, Thomas, Fernandez-Bustamante, Ana, Luzier, Elizabeth, Almagro, Angela, Melo, Marcos Vidal, Fernando, Luiz, Sulemanji, Demet, Sprung, Juraj, Weingarten, Toby, Kor, Daryl, Scavonetto, Federica, Tze, Yeo, Vermeulen, Tom D., Hol, Liselotte, Swart, Pien, Mills, Gary H., Putensen, Christian, Serpa Neto, Ary, Vidal Melo, Marcos F., Hollmann, Markus W., Gama de Abreu, Marcelo, Schultz, Marcus J., Hemmes, Sabrine N., and van Meenen, David M.
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- 2024
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8. Optimal combination of cow and quinoa milk for manufacturing of functional fermented milk with high levels of antioxidant, essential amino acids and probiotics
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El-Menawy, Reham Kamal, Mohamed, Doaa Mamdoh, Ismail, Magdy Mohamed, and Hassan, Amina Mahmoud
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- 2023
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9. Prevalence of bronchial asthma and correlation between the chemokine receptor 3 gene polymorphism and clinical asthma phenotypes among Egyptian asthmatic children
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Zedan, Magdy Mohamed, Wassefy, Mona El, Khashaba, Eman Omar, Sallam, Hagar, and Mabood, Suzy Abd El
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- 2023
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10. Optimal combination of cow and quinoa milk for manufacturing of functional fermented milk with high levels of antioxidant, essential amino acids and probiotics
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Reham Kamal El-Menawy, Doaa Mamdoh Mohamed, Magdy Mohamed Ismail, and Amina Mahmoud Hassan
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Medicine ,Science - Abstract
Abstract The aim of this research was to produce Rayeb milk, a bio-fermented milk product that has important benefits for health and nutrition. The Rayeb milk was divided into five different treatments: T1 from cow milk, T2 from quinoa milk, T3 from a mixture of cow and quinoa milk (50%:50%), T4 from a mixture of cow and quinoa milk (75%:25%), and T5 from a mixture of cow and quinoa milk (25%:75%). As a starting culture, ABT-5 culture was used. The results demonstrated that blending quinoa milk with cow milk increased the total solids, fat, total protein, pH, acetaldehyde, and diacetyl values of the resulting Rayeb milk. Additionally, the total phenolic content, antioxidant activity, minerals, and amino acids—particularly important amino acids—in Rayeb milk with quinoa milk were higher. In Rayeb milk prepared from a cow and quinoa milk mixture, Lactobacillus acidophilus and Bifidobacterium bifidum were highly stimulated. All Rayeb milk samples, particularly those that contained quinoa milk, possessed more bifidobacteria than the recommended count of 106 cfu g−1 for use as a probiotic. Based on the sensory evaluation results, it is possible to manufacture a bio-Rayeb milk acceptable to the consumer and has a high nutritional and health values using a mixture of cow milk and quinoa milk (75%:25% or 50%:50%) and ABT-5 culture.
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- 2023
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11. Prevalence of bronchial asthma and correlation between the chemokine receptor 3 gene polymorphism and clinical asthma phenotypes among Egyptian asthmatic children
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Magdy Mohamed Zedan, Mona El Wassefy, Eman Omar Khashaba, Hagar Sallam, and Suzy Abd El Mabood
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Asthma ,Phenotype ,Chemokine ,Pediatrics ,RJ1-570 - Abstract
Abstract Background Asthma is a chronic inflammatory airway disease characterized by episodic reversible airway obstruction that variably presents with cough, wheezing, shortness of breath, or chest tightness. It is a multigenetic disease, where both genetic and environmental factors have significant roles in pathogenesis. As regard asthma pathogenesis, the chemokine/chemokine receptor system is considered a key point of the immune response in most allergic diseases. This study was done to estimate the prevalence of bronchial asthma among school age children and explore the association between the underlying gene polymorphisms in chemokine receptor 3 (CCR3) and symptom-based clinical asthma phenotypes among a cohort of Egyptian children. Results Prevalence of asthma is increasing (20.6%). There are male asthma predominance. Family history of bronchial asthma and allergic diseases are predominant risk factors for asthma development. Sixty asthmatic cases with different clinical phenotypes were compared to 100 healthy controls, results explored that eosinophilic percent and total serum IgE are significantly higher among asthmatic cases versus controls. There are no significant difference regarding eosinophilic percent, serum IgE, and CCR3 T51C gene polymorphism among different clinical asthma phenotypes. There is no significant difference as regards degree of severity of asthma and level of asthma control between CCR3 T51C gene polymorphism. Conclusion We conclude the prevalence of bronchial asthma is increasing. Also, eosinophilic percent and serum IgE are elevated in asthma patients, while CCR3 T51C gene polymorphism frequency seemed to be more prevalent among asthmatic subjects however without statistical significance. We recommend a prospective study on larger sample size to validate our results.
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- 2023
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12. Analysis of stress state and crack initiation time around hard-brittle particles in nickel-based alloys by interface model
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Chen, Jiawan, Magdy, Mohamed, Cao, Tieshan, Hu, Yebing, Cheng, Congqian, and Zhao, Jie
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- 2024
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13. IoT Next Generation Smart Grid Meter (NGSM) for On-Edge Household Appliances Detection Based on Deep Learning and Embedded Linux.
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Noor El-Deen Magdy Mohamed, Mohamed M. El-Dakroury, Abdulrahman A. Ibrahim, and George A. Nfady
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- 2023
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14. Optimized Helical Antenna for Wireless Application at 2.4 GHz Using Gray Wolf Optimizer.
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Habiba Hassan Nabwy, Shereen Mostafa Ali, Maira Mohamed Khafagy, Salma Ahmed El-Tohamy, Basmala Samir Mohamed, Saif Eldeen Ehab Mohamed, and Ahmed Magdy Mohamed
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- 2023
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15. Sonographic prediction of fetal main pulmonary artery (MPA) Doppler indices of lung maturity and neonatal respiratory distress syndrome (RDS) development
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Hassan, Hend Galal Eldeen Mohamed Ali, Nagi, Mona Ali Mohamed Ali, Salama, Asmaa Magdy Mohamed, Dawoud, Mohamed Omar Abd El Aal, Elgendy, Ghalia Galal, and Abdelrahman, Ahmed S.
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- 2023
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16. Nursesʼ Versus Physiciansʼ Perceptions of the Bedside Handover Practice in the Intensive Care Unit: An Egyptian Prospective, Comparative Study
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Mahran, Ghada Shalaby Khalaf, Ali, Mostafa, Sayed, Magdy Mohamed Mahdy, Hussien, Mahmoud Ahmed Mohamed, AbdelWahab, Omar Sherif Ahmed, Mohamed, Sherif Ahmed AbdelWahab, and Abdelhafez, Amal Ismael
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- 2024
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17. Comparison of the Outcomes of Oral Versus Nasal Endotracheal Intubation in Neonates and Infants Undergoing Cardiac Surgery: A Randomized Controlled Study
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Abdelbaser, Ibrahim, Abourezk, Ahmed Refaat, Magdy, Mohamed, Elnegerey, Naglaa, Sabry, Ramy, Tharwat, Mohamed, and Sayedalahl, Mohamed
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- 2023
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18. A 5-structured visits multidisciplinary clinical care approach to optimize the care of patients with type 2 diabetes: a pilot study
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Allam, Magdy Mohamed, Younan, Mariam, Abdelhamid, Mohamed, Khan, Muhammad, Elshafee, Mohamed, and Nada, Aml Mohamed
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- 2023
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19. Correlation between free fatty acids content and textural properties of Gouda cheese supplemented with denatured whey protein paste
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El-Metwally, Raid Ibrahem, El-Menawy, Reham Kamal, and Ismail, Magdy Mohamed
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- 2023
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20. Ultrasonographic assessment of muscle layer thickness and its relation to patient outcome in a medical intensive care unit
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Elgohary, Rasmia, Magdy, Mohamed, Sobhy, Elham, Mansour, Mona, and Fayed, Ahmed
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- 2023
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21. Impact of tricyclic antidepressants, selective serotonin reuptake inhibitors, and other antidepressants on overall survival of patients with advanced lung cancer from 2004 to 2014: University of Cincinnati experience
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Karim, Nagla Fawzy Abdel, Hassan, Rammey, Siddiqi, Nabeela Iffat, Eldessouki, Ihab, Gaber, Ola, Rahouma, Mohamed, Kamel, Mohamed, Yellu, Mhender, Gulati, Shuchi, Xie, Changchun, Magdy, Mohamed, and Pruemer, Jane
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Cancer ,Mental Health ,Lung Cancer ,Lung ,Depression ,Aged ,Antidepressive Agents ,Tricyclic ,Case-Control Studies ,Drug Prescriptions ,Female ,Humans ,Kaplan-Meier Estimate ,Lung Neoplasms ,Male ,Middle Aged ,Neoplasm Staging ,Proportional Hazards Models ,Selective Serotonin Reuptake Inhibitors ,Universities ,Lung cancer ,tricyclic antidepressants ,SSRIs ,drug repositioning ,apoptosis ,overall survival ,Medical and Health Sciences ,General & Internal Medicine ,Biomedical and clinical sciences ,Health sciences - Abstract
OBJECTIVES: To evaluate and categorize the survival benefit of tricyclic antidepressants (TCAs) in lung cancer patients based on systematic computational drug repositioning data. METHODS: Data were retrospectively extracted from the medical records of non-small cell lung cancer (NSCLC) patients from the University of Cincinnati Cancer Medical Center database. Patients receiving antidepressants during their course of anti-cancer treatment were compared with those without antidepressants. Data were analyzed using Kaplan–Meier survival curves with the log-rank test, and overall survival (OS) was calculated from the date of diagnosis until last follow-up or death. RESULTS: The median OS at 2 and 5 years for patients on antidepressants was 20.3 months (54.7% and 42%) vs 44.3 months (47.6% and 43.2%), which was not significant. The median OS for patients receiving TCAs, selective serotonin reuptake inhibitors, and other antidepressants was 3.17 months, 31.33 months, and 18.50 months, respectively. CONCLUSION: We found no significant survival benefit for TCA use in combination with anti-cancer agents in NSCLC patients.
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- 2019
22. Effects of particle agglomeration in the γ′-free zone on the damage evolution of single-crystal Ni-based superalloys
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Magdy, Mohamed, Hu, Ye-Bing, Cao, Tie-Shan, and Zhao, Jie
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- 2023
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23. Geofencing-based Congestion Control in Workplaces Environment using Sequential Pattern Mining.
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Ahmed M. Abd El-Haleem, Mohamed G. Anany, Mostafa M. Abdelhakam, Noor El-Deen Magdy Mohamed, and Mahmoud M. Elmesalawy
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- 2022
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24. Dynamic User-Centric Clustered Workplaces for COVID-19 Control Measures Based on Geofencing and Deep Learning.
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Ahmed Mostafa Abdelkhalek, Noor El-Deen Magdy Mohamed, Mostafa Mahmoud Abdelhakam, and Mahmoud Mohamed Elmesalawy
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- 2022
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25. The Effect of Coil Geometry and Winding Method on the Electromagnetic Launcher Performance.
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Mohamed Magdy Mohamed Abdo, Mohamed Fanni, Tomoyuki Miyashita, and Sabah M. Ahmed
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- 2022
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26. Pleural Effusion Detection Using Machine Learning and Deep Learning Based on Computer Vision.
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Rehab Fathi Ibrahim, Nashwa M. Yhiea, Alshaimaa Mostafa Mohammed, and Ahmed Magdy Mohamed
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- 2022
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27. Genome assembly composition of the String 'ACGT' array: a review of data structure accuracy and performance challenges
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Sherif Magdy Mohamed Abdelaziz Barakat, Roselina Sallehuddin, Siti Sophiayati Yuhaniz, Raja Farhana R. Khairuddin, and Yasir Mahmood
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Genome assembly ,Genome analysis ,Indexing genome data ,Genome misassembly ,Parallelize genome data ,Repetitive genome sequence identification ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
Background The development of sequencing technology increases the number of genomes being sequenced. However, obtaining a quality genome sequence remains a challenge in genome assembly by assembling a massive number of short strings (reads) with the presence of repetitive sequences (repeats). Computer algorithms for genome assembly construct the entire genome from reads in two approaches. The de novo approach concatenates the reads based on the exact match between their suffix-prefix (overlapping). Reference-guided approach orders the reads based on their offsets in a well-known reference genome (reads alignment). The presence of repeats extends the technical ambiguity, making the algorithm unable to distinguish the reads resulting in misassembly and affecting the assembly approach accuracy. On the other hand, the massive number of reads causes a big assembly performance challenge. Method The repeat identification method was introduced for misassembly by prior identification of repetitive sequences, creating a repeat knowledge base to reduce ambiguity during the assembly process, thus enhancing the accuracy of the assembled genome. Also, hybridization between assembly approaches resulted in a lower misassembly degree with the aid of the reference genome. The assembly performance is optimized through data structure indexing and parallelization. This article’s primary aim and contribution are to support the researchers through an extensive review to ease other researchers’ search for genome assembly studies. The study also, highlighted the most recent developments and limitations in genome assembly accuracy and performance optimization. Results Our findings show the limitations of the repeat identification methods available, which only allow to detect of specific lengths of the repeat, and may not perform well when various types of repeats are present in a genome. We also found that most of the hybrid assembly approaches, either starting with de novo or reference-guided, have some limitations in handling repetitive sequences as it is more computationally costly and time intensive. Although the hybrid approach was found to outperform individual assembly approaches, optimizing its performance remains a challenge. Also, the usage of parallelization in overlapping and reads alignment for genome assembly is yet to be fully implemented in the hybrid assembly approach. Conclusion We suggest combining multiple repeat identification methods to enhance the accuracy of identifying the repeats as an initial step to the hybrid assembly approach and combining genome indexing with parallelization for better optimization of its performance.
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- 2023
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28. Azathioprine as an adjuvant therapy in severe Graves’ disease: a randomized controlled open-label clinical trial
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Magdy Mohamed Allam, Hanaa Tarek El-Zawawy, Amr Abdel Kader Okda, Ayoub Ali Alshaikh, and Ramy Mohamed Ghazy
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antithyroid drugs ,Graves’ disease ,azathioprine ,remission rate ,relapse rate ,Diseases of the endocrine glands. Clinical endocrinology ,RC648-665 - Abstract
IntroductionAzathioprine (AZA) interferes with the activation of T and B lymphocytes, which are the main cells involved in the pathogenesis of Graves’ disease (GD). The aim of this study was to investigate the effectiveness of AZA as an adjuvant therapy to antithyroid drugs (ATDs) for moderate and severe GD. In addition, we conducted an incremental cost-effectiveness analysis of AZA to determine its cost-effectiveness.MethodsWe conducted a randomized, open-label, and parallel-group clinical trial. We randomized untreated hyperthyroid patients with severe GD into three groups. All patients received 45-mg carbimazole (CM) as the starting dose and propranolol 40–120 mg daily. The first group (AZA1) received an additional 1 mg/kg/day AZA, the second group (AZA2) received an additional 2 mg/kg/day AZA, and the third group (control group) received only CM and propranolol. We measured thyroid-stimulating hormone (TSH) and TSH-receptor antibody (TRAb) levels at baseline and every 3 months, while free triiodothyronine (FT3) and free thyroxine (FT4) levels were measured at the time of diagnosis, 1 month after initiation of therapy, and every 3 months thereafter until 2 years after remission. Thyroid volume (TV) was assessed by ultrasound at baseline and 1 year after remission.ResultsA total of 270 patients were included in this trial. By the end of follow-up, there was higher remission rate in the AZA1 and AZA2 groups compared with controls (87.5% and 87.5% vs. 33.4%, p = 0.002). Throughout the course of follow-up, FT3, FT4, TSH, and TRAb were significantly different between the AZA groups and the control group, but there was no significant difference regarding TV. The decline in the concentrations of FT4, FT3, and TRAb was significantly faster in the AZA2 group than in the AZA1 group. The relapse rate during the 12-month follow-up was insignificantly higher in the control group than in either the AZA1 or AZA2 group (10, 4.4, and 4.4%, p = 0.05, respectively). The median relapse time was 18 months for the control group and 24 months for the AZA1 and AZA2 groups. The incremental cost-effectiveness ratio for the AZA group compared with the conventional group was 27,220.4 Egyptian pounds per remission reduction for patients using AZA as an adjuvant for ATDs.ConclusionAZA could be a novel, affordable, cost-effective, and safe drug offering hope for patients with GD to achieve early and long-lasting medical remission.Trial registryThe trial is registered at the Pan African Clinical Trial Registry (Registration number: PACTR201912487382180).
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- 2023
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29. Control in the loop for synchronization of nonlinear chaotic systems via adaptive intuitionistic neuro-fuzzy: a comparative study
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Helmy, Salah, Magdy, Mohamed, and Hamdy, Mohamed
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- 2022
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30. Prediction of local breast cancer recurrence after surgery: the added value of diffusion tensor imaging
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Mohamed Magdy Mohamed El Rakhawy, Nermin Soliman, Waleed Elnahas, Rasha Karam, and Ahmed Mohamed Abdel-Khalek
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Breast ,DTI ,Postoperative ,MRI ,Cancer ,Recurrence ,Medical physics. Medical radiology. Nuclear medicine ,R895-920 - Abstract
Abstract Background There is considerable overlap between benign postoperative changes and recurrent breast cancer imaging features in patients surgically treated for breast cancer. This study aims to evaluate the value of adding multiple diffusion tensor imaging (DTI) parameters, including mean diffusivity (MD), fractional anisotropy (FA), radial diffusivity (RD), axial diffusivity, (AD), and relative anisotropy (RA) in differentiating breast cancer recurrence from postoperative changes in patients who were surgically treated for breast cancer and to also evaluate the role of these parameters in characterizing the different pathologies seen in the postoperative breast. Results This is a prospective study that was performed on female patients who were surgically treated for breast cancer. The study was done on 60 cases having 77 breast lesions. (Sixty-two of them were described as mass lesions and 15 of them were described as non-mass enhancement on MRI.) Among analyzed DTI parameters, MD showed the highest sensitivity (97.1%), specificity (88.1%), and accuracy (92.2%) in predicting recurrent breast cancer. FA, AD, and RD showed sensitivity (77.1%, 85.7%, and 88.6%) and specificity (83.3%, 83.3%, and 73.8%) in predicting recurrent breast cancer, respectively. The median MD values were lower in grade III recurrent breast cancers when compared to its values in recurrent grade II breast cancers and recurrent DCIS (0.6 × 10–3 mm2/s vs. 0.8 × 10–3 mm2/s and 0.9 × 10–3 mm2/s), respectively. FA also showed median values in grade III recurrent breast cancer higher than its values in grade II recurrent breast cancer and recurrent DCIS (0.6 vs. 0.5 and 0.39), respectively. The sensitivity, specificity, PPV, NPV, accuracy, F1 score, and MCC of DCE-MRI alone versus DCE-MRI plus combined DTI parameters were 88.6% versus 100%, 88.1% versus 90.5%, 86.1% versus 89.7%, 90.2% versus 100%, 88.3% versus 94.6%, 87.3% versus 94.6%, and 76.5% versus 90.1%, respectively. Conclusions DTI may play an important role as a complementary method to discriminate recurrent breast cancer from postoperative changes in patients surgically treated for previous breast cancer.
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- 2022
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31. Use of Telemedicine for Postdischarge Assessment of the Surgical Wound: International Cohort Study, and Systematic Review With Meta-analysis
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Glasbey, James, Trout, Issi, Adeyeye, Victoria, Ademuyiwa, Adesoji, Adisa, Adewale, Bhatt, Alisha, Biccard, Bruce, Brocklehurst, Peter, Chakrabortee, Sohini, Allen Ingabire, Jean De La Croix, Dossou, Francis Moïse, Durán, Irani, Dutta, Rohini, Ghosh, Dhruva, Gyamfi, Frank, Hardy, Pollyanna, Hyman, Gabriella, Jain, Ritu, Kadir, Bryar, Knight, Stephen, Ladipo-Ajayi, Oluwaseun, Lawani, Ismail, Lawani, Souliath, Lillywhite, Rachel, Macefield, Rhiannon, Magill, Laura, Martin, Janet, Mathers, Jonathan, McLean, Kenneth, Mistry, Unam, Mittal, Rohin, Moore, Rachel, Morton, Dion, Ntirenganya, Faustin, Ofori, Emmanuel, Pearse, Rupert, Peón, Alberto, Pinkney, Thomas, Medina, Antonio Ramos de la, Ronald, Tubasiime, Roman, David, Simoes, Joana, Slade, Anita, Tabiri, Stephen, Smith, Donna, Harrison, Ewen, Bhangu, Aneel, Glasbey, James, Trout, Issi, Bhangu, Aneel, Runigamugabo, Azmina Verjee Emmy, Ademuyiwa, Adesoji O, Adisa, Adewale O, Aguilera, Maria Lorena, Altamini, Afnan, Alexander, Philip, Al-Saqqa, Sara W, Borda-Luque, Giuliano, Cornick, Jen, Costas-Chavarri, Ainhoa, Drake, Thomas M, Fergusson, Stuart J, Fitzgerald, J Edward, Glasbey, James, Ingabire, J.C Allen, Ismaïl, Lawani, Jaffry, Zahra, Salem, Hosni Khairy, Khatri, Chetan, Kirby, Andrew, Kojo, Anyomih Theophilus Teddy, Lapitan, Marie Carmela, Lilford, Richard, Mihaljevic, Andre L, Mohan, Midhun, Morton, Dion, Mutabazi, Alphonse Zeta, Nepogodiev, Dmitri, Ntirenganya, Faustin, Ots, Riinu, Pata, Francesco, Pinkney, Thomas, Poškus, Tomas, Qureshi, Ahmad Uzair, la Medina, Antonio Ramos-De, Rayne, Sarah, Recinos, Gustavo, Søreide, Kjetil, Shaw, Catherine A, Shu, Sebastian, Spence, Richard, Smart, Neil, Tabiri, Stephen, Lilford, Richard, Morton, Dion, Harrison, Ewen M, Bhangu, Aneel, Modolo, Maria Marta, Iyer, Dushyant, King, Sebastian, Arthur, Tom, Nahar, Sayeda Nazmum, Waterman, Ade, Ismaïl, Lawani, Walsh, Michael, Agarwal, Arnav, Zani, Augusto, Firdouse, Mohammed, Rouse, Tyler, Liu, Qinyang, Correa, Juan Camilo, Salem, Hosni Khairy, Talving, Peep, Worku, Mengistu, Arnaud, Alexis, Tabiri, Stephen, Kalles, Vassilis, Aguilera, Maria Lorena, Recinos, Gustavo, Kumar, Basant, Kumar, Sunil, Amandito, Radhian, Quek, Roy, Pata, Francesco, Ansaloni, Luca, Altibi, Ahmed, Venskutonis, Donatas, Zilinskas, Justas, Poskus, Tomas, Whitaker, John, Msosa, Vanessa, Tew, Yong Yong, Farrugia, Alexia, Borg, Elaine, la Medina, Antonio Ramos-De, Bentounsi, Zineb, Ademuyiwa, Adesoji O, Søreide, Kjetil, Gala, Tanzeela, Al-Slaibi, Ibrahim, Tahboub, Haya, Alser, Osaid H., Romani, Diego, Shu, Sebestian, Major, Piotr, Mironescu, Aurel, Bratu, Matei, Kourdouli, Amar, Ndajiwo, Aliyu, Altwijri, Abdulaziz, Alsaggaf, Mohammed Ubaid, Gudal, Ahmad, Jubran, Al Faifi, Seisay, Sam, Lieske, Bettina, Rayne, Sarah, Spence, Richard, Ortega, Irene, Jeyakumar, Jenifa, Senanayake, Kithsiri J., Abdulbagi, Omar, Cengiz, Yucel, Raptis, Dmitri, Altinel, Yuksel, Kong, Chia, Teasdale, Ella, Irwin, Gareth, Stoddart, Michael, Kabariti, Rakan, Suresh, Sukrit, Gash, Katherine, Narayanan, Ragavan, Maimbo, Mayaba, Grizhja, Besmir, Ymeri, Shpetim, Galiqi, Gezim, Klappenbach, Roberto, Antezana, Diego, Beleño, Alvaro Enrique Mendoza, Costa, Cecilia, Sanchez, Belen, Marta Modolo, Susan Aviles Maria, Fermani, Claudio Gabriel, Balmaceda, Rubén, Villalobos, Santiago, Carmona, Juan Manuel, Hamill, Daniel, Deutschmann, Peter, Sandler, Simone, Cox, Daniel, Nataraja, Ram, Sharpin, Claire, Ljuhar, Damir, Gray, Demi, Iyer, Morgan Haines Dush, Niranjan, Nithya, D’Amours, Scott, Ashtari, Morvarid, Franco, Helena, Mitul, Ashrarur Rahman, Karim, Sabbir, Aman, Nowrin F., Umme Salma, Mahnuma Mahfuz Estee, Razzaque, Joyeta, Kanta, Tasnia Hamid, Tori, Sayeeda Aktar, Alamin, Shadid, Roy, Swapnil, Amin, Shadid Al, Haque, Rezaul Karim Muhtarima, Faruq, Amreen, Iftekhar, Farhana, O’Shea, Margaret, Padmore, Greg, Litvin, Ramesh Jonnalagadda Andrey, Filatau, Aliaksandr, Paulouski, Dzmitry, Shubianok, Maryna, Shachykava, Tatsiana, Khokha, Dzianis, Djivoh, Vladimir Khokha Fernande, Ismaïl, Lawani, Morel Seto, Francis Dossou Djifid, Gbessi, Dansou Gaspard, Noukpozounkou, Bruno, Souaibou, Yacoubou Imorou, Keke, Kpèmahouton René, Stephane Ahounou, Fred Hodonou Ernest Yemalin, Bedada, Thierry Alihonou Alemayehu Ginbo, Nsengiyumva, Carlos, Kwizera, Sandrine, Choi, Venerand Barendegere Philip, Stock, Simon, Jamal, Luai, Firdouse, Mohammed, Zani, Augusto, Azzie, Georges, Kushwaha, Sameer, Agarwal, Arnav, Chen, Tzu-Ling, Yip, Chingwan, Montes, Irene, Zapata, Felipe, Sierra, Sebastian, Lanau, Maria Isabel Villegas, Arango, Maria Clara Mendoza, Restrepo, Ivan Mendoza, Sierra, Sebastian, Giraldo, Ruben Santiago Restrepo, Arango, Maria Clara Mendoza, Domini, Edgar, Karlo, Robert, Mihanovic, Jakov, Youssef, Mohamed, Elfeki, Hossam, Thabet, Waleed, Sanad, Aly, Tawfik, Gehad, Zaki, Ahmed, Abdel-Hameed, Noran, Mostafa, Mohamed, Omar, Muhammad Fathi Waleed, Ghanem, Ahmed, Abdallah, Emad, Denewar, Adel, Emara, Eman, Rashad, Eman, Sakr, Ahmad, Elashry, Rehab, Emile, Sameh, Khafagy, Toqa, Elhamouly, Sara, Elfarargy, Arwa, Mohamed, Amna Mamdouh, Nagy, Ghada Saied, Esam, Abeer, Elwy, Eman, Hammad, Aya, Khallaf, Salwa, Ibrahim, Eman, Saidbadr, Ahmed, Moustafa, Ahmed, Mohammed, Amany Eldosouky, Elgheriany, Mohammed, Abdelmageed, Eman, Raouf, Eman Abd Al, Elbanby, Esraa Samir, Elmasry, Maha, Farahat, Mahitab Morsy, Mansor, Eman Yahya, Hegazy, Eman Magdy, Gamal, Esraa, Gamal, Heba, Kandil, Hend, Abdelrouf, Doaa Maher, Moaty, Mohamed, Gamal, Dina, El-Sagheer, Nada, Salah, Mohamed, Magdy, Salma, Salah, Asmaa, Essam, Ahmed, Ali, Ahmed, Badawy, Mahmoud, Ahmed, Sara, Mohamed, Mazed, Assal, Abdelrahman, Sleem, Mohamed, Ebidy, Mai, Elrazek, Aly Abd, Zahran, Diaaaldin, Adam, Nourhan, Nazir, Mohamed, Hassanein, Adel B, Ismail, Ahmed, Elsawy, Amira, Mamdouh, Rana, Mabrouk, Mohamed, Ahmed, Lopna Ahmed Mohamed, Alnaby, Mohamed Hassab, Magdy, Eman, Abd-Elmawla, Manar, Fahim, Marwan, Mowafy, Bassant, Mahmoud, Moustafa Ibrahim, Allam, Meran, Alkelani, Muhammad, El Gendy, Noran Halim, Aboul-Naga, Mariam Saad, El-Din, Reham Alaa, Elgendy, Alyaa Halim, Ismail, Mohamed, Shalaby, Mahmoud, Elsharkawy, Aya Adel, Moghazy, Mahmoud Elsayed, Elbisomy, Khaled Hesham, Shakshouk, Hend Adel Gawad, Hamed, Mohamed Fouad, Ebidy, Mai Mohamed, Abdelkader, Mostafa, Ahmed, Mohamed Karkeet Hayam, Adel, Israa, Omar, Mohammad Elsayed, Ibrahim, Mohamed, Ghoneim, Omar, Hesham, Omar, Gamal, Shimaa, Hilal, Karim, Arafa, Omar, Awad, Sawsan Adel, Salem, Menatalla, Elsherif, Fawzia Abdellatif, Elsabbagh, Nourhan, Aboelsoud, Moustafa R., Rida, Ahmed Hossam Eldin Fouad, Hossameldin, Amr, Hany, Ethar, Asar, Yomna Hosny, Anwar, Nourhan, Gadelkarim, Mohamed, Abdelhady, Samar, Morshedy, Eman Mohamed, Saad, Reham, Soliman, Nourhan, Ezzat, Mahmoud Salama Eslam, Mohamed, Arwa, Ibrahim, Arwa, Fergany, Alaa, Mohammed, Sara, Reda, Aya, Allam, Yomna, Saad, Hanan Adel, Abdelfatah, Afnan, Fathy, Aya Mohamed, El-Sehily, Ahmed, Kasem, Esraa Abdalmageed, Hassan, Ahmed Tarek Abdelbaset, Mohammed, Ahmed Rabeih, Saad, Abdalla Gamal, Elfouly, Yasmin, Elfouly, Nesma, Ibrahim, Arij, Hassaan, Amr, Mohammed, Mohammed Mustafa, Elhoseny, Ghada, Magdy, Mohamed, Elkhalek, Esraa Abd, Zakaria, Yehia, Ezzat, Tarek, El Dahab, Ali Abo, Kelany, Mohamed, Arafa, Sara, Hassan, Osama Mokhtar Mohamed, Badwi, Nermin Mohamed, Sleem, Ahmad Saber, Ahmed, Hussien, Abdelbadeai, Kholoud, Abdullah, Mohamed Abozed, Lokman, Muhammad Amsyar Auni, Bahar, Suraya, Abdelazeam, Anan Rady, Adelshone, Abdelrahman, Bin Hasnan, Muhammad, Zulkifli, Athirah, Kamarulzamil, Siti Nur Alia, Elhendawy, Abdelaziz, Latif, Aliang, Bin Adnan, Ahmad, Shaharuddin, Shahadatul, Abdul Majid, Aminah Hanum Haji, Amreia, Mahmoud, Al-Marakby, Dina, Salma, Mahmoud, Bin Ismail, Mohamad Jeffrey, Basir, Elissa Rifhan Mohd, Ali, Citra Dewi Mohd, Maha Nasr, Aya Yehia Ata, Rezq, Asmaa, Sheta, Ahmed, Tariq, Sherif, Sallam, Abd Elkhalek, Darwish, Abdelrhman KZ, Elmihy, Sohaila, Elhadry, Shady, Farag, Ahmed, Hajeh, Haidar, Abdelaal, Abdelaziz, Aglan, Amro, Zohair, Ahmed, Essam, Mahitab, Moussa, Omar, El-Gizawy, Esraa, Samy, Mostafa, Ali, Safia, Elhalawany, Esraa, Ata, Ahmed, El Halawany, Mohamed, Nashat, Mohamed, Soliman, Samar, Elazab, Alaa, Samy, Mostada, Abdelaziz, Mohamed A, Ibrahim, Khaled, Ibrahim, Ahmed mohamed, Gado, Ammar, Alm Eldeen, Usama Hantour Esraa, loaloa, Mohamed Reda, Abouzaid, Arwa, Eldin, Mostafa Ahmed Bahaa, Hashad, Eman, Sroor, Fathy, Gamil, Doaa, Abdulhakeem, Eman Mahmoud, Zakaria, Mahmoud, Mohamed, Fawzy, Abubakr, Marwan, Ali, Elsayed, Magdy, Hesham, Ramadan, Menna Tallah, Mohamed, Mohamed Abdelaty, Mansour, Salma, Amin, Hager Abdul Aziz, Mohamed, Ahmed Rabie, Saami, Mahmoud, Elsayed, Nada Ahmed Reda, Tarek, Adham, Mahmoud, Sabry Mohy Eldeen, El Sayed, Islam Magdy, Reda, Amira, Shawky, Martina Yusuf, Salem, Mohammed Mousa, El-Din, Shahinaz Alaa, Soliman, Noha Abdullah, Talaat, Muhammed, Alaael-Dein, Shahinaz, Elhusseiny, Ahmed Abd Elmoen, Abdullah, Noha, Elshaar, Mohammed, Ibraheem, Aya AbdelFatah, Abdulaziz, Hager, Ismail, Mohammed Kamal, Madkor, Mona Hamdy, Abdelaty, Mohamed, Abdel-Kader, Sara Mahmoud, Salah, Osama Mohamed, Eldafrawy, Mahmoud, Eldeeb, Ahmed Zaki, Attia, Mostafa Mahmoud Eid Attia, El-Dien, Khalid Salah, Shwky, Ayman, Badenjki, Mohamed Adel, Soliman, Abdelrahman, Attar, Samaa Mahmoud Al, Sayed, Farrag, Sabour, Fahd Abdel, Azizeldine, Mohammed G., Shawqi, Muhammad, Hashim, Abdullah, Aamer, Ahmed, Abdelraouf, Ahmed Mahmoud, Abdelshakour, Mahmoud, Ibrahim, Amal, Mahmoud, Basma, Mahmoud, Mohamed Ali, Qenawy, Mostafa, Rashed, Ahmed M., Dahy, Ahmed, Sayed, Marwa, Shamsedine, Ahmed W., Mohamed, Bakeer, Hasan, Ahmad, Saad, Mahmoud M., Khalid Abd El-Latif, Khalil Abdul Bassit Nadia, Elzahed, Nada, El Kashash, Ahmed, Bekhet, Nada Mohamed, Hafez, Sarah, Gad, Ahmed, Maher, Mahmoud Elkhadragy, Elsameea, Ahmed Abd, Hafez, Mohamed, Sabe, Ahmad, Ahmed, Ataa, Shahine, Ahmed, Dawood, Khaled, Gaafar, Shireen, Husseiny, Reem, Aboelmagd, Omnia, Soliman, Ahmed, Mesbah, Nourhan, Emadeldin, Hossam, Meligy, Amgad Al, Bekhet, Amira Hassan, Hasan, Doaa, Alhady, Khaled, Sabe, Ahmad Khaled, Elnajjar, Mahmoud A., Aboelella, Majed, Hamsho, Ward, Hassan, Ihab, Saad, Hala, Abdelazim, Galaleldin, Mahmoud, Hend, Wael, Noha, Kandil, Ahmedali M, Magdy, Ahmed, Elkholy, Shimaa Said, Adel, Badr Eldin, Dabbour, Kareem, Elsherbiney, Saged, Mattar, Omar, Abdrabou, Abdulshafi Khaled, Aly, Mohammed Yahia Mohamed, Geuoshy, Abdelrahman, Elnagar, Ahmedglal, Ahmed, Saraibrahim, Abdelmotaleb, Ibrahem, Saleh, Amr Ahmed, Saeed, Manar, Mahmoud, Shady, Tawfik, Badreldin Adel, Ismail, Samar Adel, Zakaria, Esraay, Gad, Mariam O., Elhelbawy, Mohamed Salah, Bassem, Monica, Maraie, Noha, Elhadary, Nourhan Medhat, Semeda, Nourhan, Mohamed, Shaza Rabie, Bakry, Hesham Mohammed, Essam, AA, Tarek, Dina, Ashour, Khlood, Elhadad, Alaa, Abdel-Aty, Abdulrahman, Rakha, Ibrahim, Matter, Sara Mamdouh, Abdelhamed, Rasha, Abdelkader, Omar, Hassaan, Ayat, Soliman, Yasmin, Mohamed, Amna, Ghanem, Sara, Farouk, Sara Amr Mohamed, Ibrahim, Eman Mohamed, Mostafa, Esraa El-Taher Merna, Badr, Mohamed Fawzy Mahrous, Elsemelawy, Rofida, El-Sawy, Aya, Bakr, Ahmad, Al Rafati, Ahmad Abdel Razaq, Saar, Sten, Reinsoo, Arvo, Talving, Peep, Seyoum, Nebyou, Worku, Tewodros, Fitsum, Agazi, Tolonen, Matti, Leppäniemi, Ari, Sallinen, Ville, Parmentier, Benoît, Peycelon, Matthieu, Irtan, Sabine, Dardenne, Sabrina, Robert, Elsa, Maillot, Betty, Courboin, Etienne, Arnaud, Alexis Pierre, Hascoet, Juliette, Abbo, Olivier, Kaci, Amir Ait, Prudhomme, Thomas, Ballouhey, Quentin, Grosos, Céline, Fourcade, Laurent, Cecilia, Tolg, Jean-Francois, Colombani, Delforge, Francois-Coridon Helene Xavier, Haraux, Elodie, Dousset, Bertrand, Schiavone, Roberto, Gaujoux, Sebastien, Marret, Jean-Baptiste, Haffreingue, Aurore, Rod, Julien, Jean-François Lecompte, Mariette Renaux-Petel, Bréaud, Jean, Gastaldi, Pauline, Taieb, Chouikh, Claire, Raquillet, Anis, Echaieb, Bustangi, Nasir, Lopez, Manuel, Scalabre, Aurelien, Grella, Maria Giovanna, Mariani, Aurora, Podevin, Guillaume, Schmitt, Françoise, Hervieux, Erik, Broch, Aline, Muller, Cecile, Tabiri, Stephen, Kojo, Anyomih Theophilus Teddy, Bandoh, Dickson, Abantanga, Francis, Kyereh, Martin, Asumah, Hamza, Appiah, Eric Kofi, Wondoh, Paul, Gyedu, Adam, Dally, Charles, Agbedinu, Kwabena, Amoah, Michael, Yifieyeh, Abiboye, Owusu, Frank, Amoako-Boateng, Mabel, Dayie, Makafui, Hagan, Richmond, Debrah, Sam, Ohene-Yeboah, Micheal, Clegg-Lampety, Joe-Nat, Etwire, Victor, Dakubo, Jonathan, Essoun, Samuel, Bonney, William, Glover-Addy, Hope, Osei-Nketiah, Samuel, Amoako, Joachim, Adu-Aryee, Niiarmah, Appeadu-Mensah, William, Bediako-Bowan, Antoinette, Dedey, Florence, Ekow, Mattew, Akatibo, Emmanuel, Yakubu, Musah, Kordorwu, Hope Edem Kofi, Asare-Bediako, Kwasi, Tackie, Enoch, Aaniana, Kenneth, Acquah, Emmanuel, Opoku-Agyeman, Richard, Avoka, Anthony, Kusi, Kwasi, Maison, Kwame, Gyamfi, Frank Enoch, Barnabas, Gandau Naa, Amoako, Saiba Abdul-Latif Philip Taah, Davor, Anthony, Dassah, Victor, Dagoe, Enoch, Kwakyeafriyie, Prince, Akoto, Elliot, Ackom, Eric, Mensah, Ekow, Atkins, Ebenezer Takyi, Coompson, Christian Lari, Ivros, Nikolaos, Ferousis, Christoforos, Kalles, Vasileios, Agalianos, Christos, Kyriazanos, Ioannis, Barkolias, Christos, Tselos, Angelos, Tzikos, Georgios, Lytras, Evangelos Voulgaris Dimitrios, Bamicha, Athanasia, Psarianos, Kyriakos, Stefanopoulos, Anastasios, Patoulias, Ioannis, Sfougaris, Dimitrios, Valioulis, Ioannis, Balalis, Dimitrios, Korkolis, Dimitrios, Manatakis, Dimitrios K, Kyrou, Georgios, Karabelias, Georgios, Konstantina, Iason-Antonios Papaskarlatos Kolonia, Zampitis, Nikolaos, Papailia, Stylianos Germanos Aspasia, Theodosopoulos, Theodosios, Gkiokas, Georgios, Mitroudi, Magdalini, Panteli, Christina, Feidantsis, Thomas, Farmakis, Konstantinos, Kyziridis, Dimitrios, Ioannidis, Orestis, Gemenetzis, Styliani Parpoudi Georgios, Parasyris, Stavros, Anthoulakis, Christos, Nikoloudis, Nikolaos, Aguilera-Arevalo, Michail Margaritis Maria-Lorena, Coyoy-Gaitan, Otto, Tale, Javier Rosales Luis, Soley, Rafael, Rodriguez, Emmanuel Barrios Servio Tulio Torres, Galvez, Carlos Paz, Cruz, Danilo Herrera, Rosenberg, Guillermo Sanchez, Matheu, Alejandro, Cohen, David Monterroso, Paul, Marie, Charles, Angeline, Lam, Justin Chak Yiu, Yeung, Man Hon Andrew, Fok, Chi Ying Jacquelyn, Li, Ka Hin Gabriel, Lai, Anthony Chuk-Him, Cheung, Yuk Hong Eric, Wong, Hong Yee, Leung, Ka Wai, Lee, Tien Seng Bryan, Lam, Wai Him, Dao, Weihei, Kwok, Stephanie Hiu-wai, Chan, Tsz-Yan Katie, Ng, Yung Kok, Liu, TWC Mak Qinyang, Foo, Chi Chung, Yang, James, Kumar, Basant, Bhatnagar, Ankur, Upadhyaya, Vijaid, Muddebihal, Sunil Kumar Uday, Dar, Wasim, Alexander, KC Janardha Philip, Aruldas, Neerav, Adella, Fidelis Jacklyn, Rulie, Anthonius Santoso, Iskandar, Ferdy, Setiawan, Jonny, Evajelista, Cicilia Viany, Natalie, Hani, Suyadi, Arlindawati, Gunawan, Rudy, Karismaningtyas, Herlin, Mata, Lusi Padma Sulistianingsih, Andika, Ferry Fitriya Ayu, Hasanah, Afifatun, Widiastini, T Ariani, Purwaningsih, Nurlaila Ayu, Mukin, Annisa Dewi Fitriana, Rahmah, Dina Faizatur, Nurqistan, Hazmi Dwinanda, Arsyad, Hasbi Maulana, Adhitama, Novia, Jeo, Wifanto Saditya, Sutandi, Nathania, Clarissa, Audrey, Gultom, Phebe Anggita, Billy, Matthew, Haloho, Andreass, Amandito, Radhian, Johanna, Nadya, Lee, Felix, Radin Dorani, Radin Mohd Nurrahman, Glynn, Martha, Alherz, Mohammad, Goh, Wennweoi, Shiwani, Haaris A., Sproule, Lorraine, Conlon, Kevin C., Bala, Miklosh, Turati, Asaf Kedar Luca, Bianco, Federica, Steccanella, Francesca, Gallo, Gaetano, Trompetto, Mario, Papandrea, Giuseppe Clerico Matteo, Sammarco, Giuseppe, Sacco, Rosario, Benevento, Angelo, Pata, Francesco, Giavarini, Luisa, Giglio, Mariano Cesare, Bucci, Luigi, Pagano, Gianluca, Sollazzo, Viviana, Peltrini, Roberto, Birindelli, Gaetano Luglio Arianna, Di Saverio, Salomone, Tugnoli, Gregorio, Paludi, Miguel Angel, Mingrone, Pietro, Pata, Domenica, Selvaggi, Francesco, Selvaggi, Lucio, Pellino, Gianluca, Curletti, Natale Di Martino Gianluca, Aonzo, Paolo, Galleano, Raffaele, Berti, Stefano, Francone, Elisa, Boni, Silvia, Lorenzon, Laura, Conte, Annalisa lo, Balducci, Genoveffa, Confalonieri, Gianmaria, Laura Gavagna, Giovanni Pesenti, Vasquez, Giorgio, Targa, Simone, Occhionorelli, Savino, Pata, Dario Andreotti Giacomo, Armellini, Andrea, Aquilino, Deborah Chiesa Fabrizio, Chetta, Nicola, Abdelkhalek, Arcangelo Picciariello Mohamed, Belli, Andrea, Bigaran, Silvia De Franciscis Annamaria, Favero, Alessandro, Salusso, Stefano M.M Basso Paola, Perino, Martina, Mochet, Sylvie, Sasia, Diego, Riente, Francesco, Merlini, Marco Migliore David, Basilicò, Silvia, Lazzari, Carlo Corbellini Veronica, Macchitella, Yuri, Angelieri, Luigi Bonavina Daniele, Coletta, Diego, Falaschi, Federica, Catani, Marco, Reali, Claudia, Malavenda, Mariastella, Basso, Celeste Del, Ribaldi, Sergio, Coletti, Massimo, Natili, Andrea, Depalma, Norma, Iannone, Immacolata, 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Dragatas Arturas, Mazelyte, Ruta, Kaselis, Antanas Zadoroznas Nerijus, Žiubrytė, Greta, Rahantasoa, Finaritra Casimir Fleur Prudence, Samison, Luc Hervé, Rasoaherinomenjanahary, Fanjandrainy, Tolotra, Todisoa Emmanuella Christina, Mukuzunga, Cornelius, Msosa, Vanessa, Kwatiwani, Chimwemwe, Chai, Nelson Msiska Feng Yih, Asilah, Siti Mohd Desa, Pui Xin Chin, Khuzaimah Zahid Syibrah, Salleh, Afizah, Roslani, Nur Zulaika Riswan April Camilla, Chong, Hoong-Yin, Aziz, Nora Abdul, Poh, Keat-Seong, Chai, Chu-Ann, Kumar, Sandip, Taher, Mustafa Mohammed, Kosai, Nik Ritza, Aziz, Dayang Nita Abdul, Julaihi, Reynu Rajan Rokayah, Jethwani, Durvesh Lacthman, Yahaya, Muhammad Taqiyuddin, Abdullah, Nik Azim Nik, Mathew, Susan Wndy, Chung, Kuet Jun, Nirumal, Milaksh Kumar, Tze, R. 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Pluke, Kuok Chung Lee Kent, Dedekind, Britta, Nashidengo, Puyearashid, Hampton, Mark Ian, Joosten, Johanna, Sobnach, Sanju, Roodt, Liana, Sander, Anthony, Pape, James, Spence, Richard, Maistry, Niveshni, Ndwambi, Phumudzo, Kinandu, Kamau, Tun, Myint, Toit, Frederick Du, Ellison, Quinn, Burger, Sule, Grobler, DC, Khulu, Lawrence Bongani, Moore, Rachel, Jennings, Vicky, Leusink, Astrid, Kariem, Nazmie, Gouws, Juan, Chu, Kathryn, Bougard, Heather, Noor, Fazlin, Dell, Angela, Rayne, Sarah, Van Straten, Stephanie, Khamajeet, Arvin, Tshisola, Serge Kapenda, Kabongo, Kalangu, Kong, Victor, Moodley, Yoshan, Anderson, Frank, Madiba, Thandinkosi, du Plooy, Flip, Hartford, Leila, Chilton, Gareth, Mabitsela, Parveen Karjiker Matlou Ernest, Ndlovu, Sibongile Ruth, Badicel, Maria, Jaich, Robert, Garcia-Florez, Jaime Ruiz-Tovar Luis, Otero-Díez, Jorge L., Pérez, Virginia Ramos, García, Nuria Aguado Suárez Javier Minguez, Moreno, Sara Corral, Collado, Maria Vicenta, Carneros, Virginia Jiménez, Gonzalez, Javier García Septiem Mariana, Picardo, Antonio, Esteban, Enrique, Ferrero, Esther, Ortega, Irene, Espin-Basany, Eloy, Blanco-Colino, Ruth, Andriola, Valeria, García, Lorena Solar, Contreras, Elisa, Bernardo, Carmen García, Pagnozzi, Janet, Sanz, Sandra, de León, Alberto Miyar, Dorismé, Asnel, Rodicio, Joseluis, Suarez, Aida, Stuva, Jessica, Fernandez-Vega, Tamara Diaz Vico Laura, Soldevila-Verdeguer, Carla, Sena-Ruiz, Fatima, Pujol-Cano, Natalia, Diaz-Jover, Paula, Garcia-Perez, José Maria, Segura-Sampedro, Juan Jose, Pineño-Flores, Cristina, Ambrona-Zafra, David, Craus-Miguel, Andrea, Jimenez-Morillas, Patricia, Jayathilake, Angela Mazzella A.B, Thalgaspitiya, S.P.B, Wijayarathna, L.S., Sanni, P.M.S.N. 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Murat, Cengiz, Turgut Bora, Tansoker, Ilkan, Işler, Vedatcan, Cevik, Muazzez, Mutlu, Deniz, Ozben, Volkan, Ozmen, Berk Baris, Bayram, Sefa, Yolcu, Sinem, Kobal, Berna Buse, Toto, Ömer Faruk, Karabulut, Haluk Cem Çakaloğlu Kagan, Mutlu, Vahit, Ozkan, Bahar Busra, Celik, Saban, Semiz, Anil, Bodur, Selim, Gül, Enisburak, Murutoglu, Busra, Yildirim, Reyyan, Baki, Bahadir Emre, Arslan, Ekin, Ulusahin, Mehmet, Walker, Ali Guner Nathan, Shrimanker, Nikhita, Stoddart, Michael, Cole, Simon, Breslin, Ryan, Srinivasan, Ravi, Elshaer, Mohamed, Hunter, Kristina, Liew, Ahmed Al-Bahrani Ignatius, Mairs, Nora Grace, Rocke, Alistair, Dick, Lachlan, Chowdhury, Mobeen Qureshi Debkumar, Wright, Naomi, Skerritt, Clare, Kufeji, Dorothy, Ho, Adrienne, Dissanayake, Tharindra, Tennakoon, Athula, Ali, Wadah, Lim, Shujing Jane, Tan, Charlene, O’Neill, Stephen, Jones, Catrin, Knight, Stephen, Nassif, Dima, Sharma, Abhishek, Warren, Oliver, White, Rebecca, Mehdi, Aia, Post, Nathan, Kalakouti, Eliana, Dashnyam, 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Laurie, Kirsten, Connor, Katie, Mann, Thomas, Nepogodiev, Dmitri, Mansuri, Anahita, Davies, Rachel, Griffiths, Ewen, Shahbaz, Aized Raza, Eng, Calvin, Din, Farhat, L’Heveder, Ariadne, Park, Esther H.G., Ravishankar, Ramanish, McIntosh, Kirsten, Yau, Jih Dar, Chan, Luke, McGarvie, Susan, Tang, Lingshan, Lim, Hui, Yap, Suhhuey, Park, Jay, Ng, Zhan Herr, Mirza, Shahrukh, Ang, Yun Lin, Walls, Luke, Teasdale, Ella, Roy, Chloe, Paterson-Brown, Simon, Camilleri-Brennan, Julian, Mclean, Kenneth, D’Souza, Michelle S, Pronin, Savva, Henshall, David Ewart, Ter, Eunice Zuling, Fouad, Dina, Minocha, Ashish, English, William, Morgan, Catrin, Townsend, Dominic, Maciejec, Laura, Mahdi, Shareef, Akpenyi, Onyinye, Hall, Elisabeth, Caydiid, Hanaan, Rob, Zakaria, Abbott, Tom, Torrance, Hew D, Irwin, Gareth, Johnston, Robin, Gani, Mohammed Akil, Gravante, Gianpiero, Rajmohan, Shivanchan, Majid, Kiran, Dindyal, Shiva, Smith, Christopher, Palliyil, Madanmohan, Patel, Sanjay, Nicholson, Luke, Harvey, Neil, Baillie, Katie, Shillito, Sam, Kershaw, Suzanne, Bamford, Rebecca, Orton, Peter, Reunis, Elke, Tyler, Robert, Soon, Wai Cheong, Jama, Guled M., Dhillon, Dharminder, Patel, Khyati, Nanthakumaran, Shayanthan, Heard, Rachel, Chen, Kar Yan, Barmayehvar, Behrad, Datta, Uttaran, Kamarajah, Sivesh K, Karandikar, Sharad, Tani, Sobhana Iftekhar, Monaghan, Eimear, Donnelly, Philippa, Walker, Michael, Parakh, Jehangirshaw, Blacker, Sarah, Kaul, Anil, Paramasivan, Arjun, Farag, Sameh, Nessa, Ashrafun, Awadallah, Salwa, Lim, Jieqi, Ng, James Chean Khun, Gash, Katherine, Kiran, Ravi P., Murray, Alice, Etchill, Eric, Dasari, Mohini, Puyana, Juan, Haddad, Nadeem, Zielinski, Martin, Caliman, Asad Choudhry Celeste, Beamon, Mieshia, Duane, Therese, Narayanan, Ragavan, Swaroop, Mamta, Myers, Jonathan, Deal, Rebecca, Schadde, Erik, Hemmila, Mark, Napolitano, Lena, To, Kathleen, Makupe, Alex, Musowoya, Joseph, Maimbo, Mayaba, Van Der Naald, Niels, Kumwenda, Dayson, Reece-Smith, Alex, Otten, Kars, Verbeek, Anna, Prins, Marloes, Suarez, Alibeth Andres Baquero, Balmaceda, Ruben, Deane, Chelsea, Dijan, Emilio, Elfiky, Mahmoud, Koskenvuo, Laura, Thollot, Aurore, Limoges, Bernard, Capito, Carmen, Alexandre, Challine, Kotobi, Henri, Leroux, Julien, Rod, Julien, Pinnagoda, Kalitha, Henric, Nicolas, Azzis, Olivier, Rosello, Olivier, Francois, Poddevin, Etienne, Sara, Buisson, Philippe, Hmila, Sophian, Clegg-Lamptey, Joe-Nat, Imoro, Osman, Abem, Owusu Emmanuel, Wondoh, Paul, Papageorgiou, Dimitrios, Soulou, Vasiliki, Asturias, Sabrina, Peña, Lenin, Kumar, Basant, O’Connor, Donal B, Luc, Alberto Realis, Russo, Alfio Alessandro, Ruzzenente, Andrea, Taddei, Antonio, Cona, Camilla, Bottini, Corrado, Pascale, Giovanni, Rotunno, Giuseppe, Solaini, Leonardo, Pascale, Marco Maria, Notarnicola, Margherita, Corbellino, Mario, Sacco, Michele, Ubiali, Paolo, Cautiero, Roberto, Bocchetti, Tommaso, Muzio, Elena, Guglielmo, Vania, Morandi, Eugenio, Mao, Patrizio, De Luca, Emilia, Notarnicola, Margherita, Ali, Farah Mahmoud, Žilinskas, Justas, Strupas, Kestutis, Kondrotas, Paulius, Baltrunas, Robertas, Kutkevicius, Juozas, Ignatavicius, Povilas, Tan, Choy Ling, Siaw, Jia Yng, Yam, Sir Young, Wilson, Ling, Aziz, Mohamed Rezal Abdul, Bondin, John, Zorrilla, Carmina Diaz, Majbar, Anass, Sale, Danjuma, Abdullahi, Lawal, Osagie, Olabisi, Faboya, Omolara, Fatuga, Adedeji, Taiwo, Agboola, Nwabuoku, Emeka, Bliksøen, Marte, Khan, Zain Ali, Coronel, Jazmin, Miranda, Cesar, Vasquez, Idelso, Helguero-Santin, Luis M., Rickard, Jennifer, Mironescu, Aurel, Adedeji, Adesina, Alqahtani, Saleh, Rath, Max, Van Niekerk, Michael, Koto, Modise Zacharia, Matos-Puig, Roel, Israelsson, Leif, Schuetz, Tobias, Yuksek, Mahmut Arif, Mericliler, Meric, Uluşahin, Mehmet, Wolf, Bernhard, Fairfield, Cameron, Yong, Guo Liang, Whitehurst, Katharine, Wilson, Michael, Redgrave, Natalie, Musyoka, Caroluce K, Olivier, James, Lee, Kathryn, Cox, Michael, Farhan-Alanie, Muhamed M H, Callan, Rory, Chibuye, Chali, Ali, Tebian Hassanein Ahmed, Rekhis, Syrine, Rommaneh, Muna, Halhouli, Oday, Sam, Zi Hao, Chen, Jacky Hong Chieh, Roi, Dylan, Ismaïl, Lawani, Kalles, Vasileios, Pata, Francesco, Nita, Gabriela Elisa, Coccolini, Federico, Ansaloni, Luca, Pugliesi, Thays Brunelli, Pardo, Gabriel, Blanco, Ruth, and Escobar, Eugenio Grasset
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- 2023
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32. Integration Routes Between Social Work and Voluntary Work: A Sociohistorical Perspective
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Emad Farouk Saleh, Magdy Mohamed Mostafa Abd-Rubo, and Mohammed Rghamoush Al-Daraai
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Integration routes, social work, sociohistorical relationship, professionalization, voluntary work ,Education - Abstract
The research problem is to determine the nature of the historical relationship between the profession of social work and volunteer work. Consequently, the research aims to investigate the nature of this relationship from a socio-historical perspective. Three axes have been used to analyze this relationship: the role of voluntary work in the development of the social work as a profession, the efforts made by social work to reach professionism and to distinguish it from voluntary work, and the relationship between social work and voluntary work. The research is qualitative analytical research and adopts the Mixed Methods Research (MMR). It identifies some literature for the analysis and implementation of a scoping process. It represents a systematic study approach to explore the socio-historical relationship between social work and voluntary work. To meet the objective of the study, the research sample has included several studies, research, and theoretical and scientific literature that address this historical relationship. The research has concluded the following: Voluntary work contributes to the emergence of the social work profession, as there is a strong relationship between them. Further, the formalization of the social work profession has an impact on the relationship with voluntary work, as government social workers would replace volunteers in providing many social services. As a result, the relationship between social work and volunteer work has evolved into a clear, strong, and solid collaboration. The research has recommended that the education curricula in Arab countries should imply the nature of the historical relationship of profession and voluntary work.
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- 2023
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33. A study of the morphological effect of an α-Al2O3 layer on the creep life for nickel-based superalloys using microstructure-based geometrical models
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Magdy, Mohamed, Hu, Ye-Bing, and Zhao, Jie
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- 2022
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34. Prediction of local breast cancer recurrence after surgery: the added value of diffusion tensor imaging
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Rakhawy, Mohamed Magdy Mohamed El, Soliman, Nermin, Elnahas, Waleed, Karam, Rasha, and Abdel-Khalek, Ahmed Mohamed
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- 2022
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35. Design of A New Electromagnetic Launcher Based on the Magnetic Reluctance Control for the Propulsion of Aircraft-Mounted Microsatellites
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Mohamed Magdy Mohamed Abdo, Haitham El-Hussieny, Tomoyuki Miyashita, and Sabah M. Ahmed
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electromagnetic launcher ,coil gun ,variable inductance ,projectile velocity ,ferromagnetic projectile ,magnetic circuit ,Technology ,Applied mathematics. Quantitative methods ,T57-57.97 - Abstract
Recent developments in electromagnetic launchers have created potential applications in transportation, space, and defense systems. However, the total efficiency of these launchers has yet to be fully realized and optimized. Therefore, this paper introduces a new design idea based on increasing the magnetic flux lines that facilitate high output velocity without adding any excess energy. This design facilitates obtaining a mathematical equation for the launcher inductance which is difficult to analytically represent. This modification raises the launcher efficiency to 36% higher than that of the ordinary launcher at low operating voltage. The proposed design has proven its superiority to traditional launchers, which are limited in their ability to accelerate microsatellites from the ground to low Earth orbit due to altitude and velocity constraints. Therefore, an aircraft is used as a flying launchpad to carry the launcher and bring it to the required height to launch. Meanwhile, it is demonstrated experimentally that magnetic dipoles in the projectile material allow the launcher coil’s magnetic field to accelerate the projectile. This system consists of the launcher coil that must be triggered with a high amplitude current from the high DC voltage capacitor bank. In addition, a microcontroller unit controls all processes, including the capacitor bank charging, triggering, and velocity measurement.
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- 2023
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36. IMPLEMENTING SMART CITY STRATEGIES AS AN INNOVATIVE PRACTICE FOR COVID-19 PANDEMIC IN EGYPTIAN CONTEXT
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S. Magdy Mohamed, D. Moati, and M. A. Elsayed
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Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Applied optics. Photonics ,TA1501-1820 - Abstract
Pandemics have always shaped cities throughout history, and numerous health challenges have been reflected in architecture and urban design. Today, the globe is dealing with a COVID-19 pandemic, which is maybe the worst in history. Coronavirus (COVID-19)sparks a critical debate about how to use smart technology's concepts and insights to urban planning and architecture. As a result of the recent pandemic, this commentary sheds light on considerations and challenges in the area of knowledge in these fields. As a result, it is now more vital than ever for policymakers at the local, regional, and national levels to begin developing smart city and Internet of Things plans. The Smart Cities Mission is a government-led project to promote economic growth and development across four strategic planning pillars: city improvement, city rehabilitation, city extension (Greenfield development), and pan-city development. This study discusses numerous obstacles and constraints in three categories: technical, socioeconomic, and environmental. This paper intends to investigate the feasibility of applying technology in an existing city and transforming it into a smart city using the most advanced technologies, as well as smart strategies and automated judgments; the research uses the 10th of Ramadan city as a case study. In addition, the predicted outcome of this article is the implementation of smart city policies as a best practise for the COVID-19 pandemic in Egypt. Finally, it is predicted that more cities would use technology into their strategy in the future.
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- 2021
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37. وَعْيُ طلبة الْجَامِعِة بِآثَارِ ظَاهِرَةِ زَوَاجِ الْأَقَارِبِ فِي الْمُجْتَمَعِ العُمانيِّ
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Mohammed Al-Dari'i, Emad Farouk Saleh, Phd., and Magdy Mohamed Mostafa
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المجتمع العماني ,طلبة الْجَامِعِة ,الوَعْيُ ,زَوَاجِ الْأَقَارِبِ ,Language and Literature - Abstract
تمثلت مشكلة الدراسة الحالية في دراسة وَعْيُ طلبة الْجَامِعِة بِآثَارِ ظَاهِرَةِ زَوَاجِ الْأَقَارِبِ فِي الْمُجْتَمَعِ العُمانيِّ، ومن ثم تمثل هدفها الرئيس في التعرف على وعي طلبة الجامعة بالآثار المترتبة على ظاهرة زواج الأقارب (المعارف – الاتجاهات – الممارسات)، وقد تبنت استراتيجية منهجية اعتمدت على استخدام المنهج الوصفي التحليلي الذي تم تطبيقه باستخدام طريقة المسح الاجتماعي الشامل على طلبة جامعة السلطان قابوس بجميع السنوات الدراسية بكافة التخصصات العملية والإنسانية والذين بلغ عددهم (15727) طالبا، وقد تم جمع البيانات من خلال الاعتماد على المقياس الإلكتروني الذي صُمِّمَ ووجه عبر البريد الإلكتروني للمبحوثين، وقد تفاعل معه (540) طالبًا وطالبة فقط. وقد توصلت الدراسة إلى مجموعة من النتائج أهمها: وجود مستوى معارف قوي لدى طلبة الجامعة بالآثار المترتبة على زواج الأقارب ، ووجود مستوى قوي لاتجاه طلبة الجامعة نحو الآثار المترتبة على زواج الأقارب، بينما أوضحت النتائج أن مستوى الممارسات الفعلية لطلبة الجامعة للتعامل مع الآثار المترتبة على زواج الأقارب كان مستوى متوسطا، ومن ثم فإن النتيجة الإجمالية لمستوى الوعي بالآثار المترتبة على زواج الأقارب تشير إلى أنه مستوى قوي، وفى النهاية فقد قدمت الدراسة مجموعة من المقترحات من أهمها ضرورة اهتمام تخصص العمل الاجتماعي بالتركيز على دراسة ظاهرة زواج الأقارب وما يترتب عليها من آثار، وتوجيه المزيد من الاهتمامات البحثية لها من خلال المشاريع البحثية، كذلك أهمية التركيز على تناول القضايا المتعلقة بالزواج بصفة عامة وزواج الأقارب بصفة خاصة من خلال الأنشطة اللاصفية وأنشطة المجموعات الطلابية بالجامعة. وقد تم إرفاق مجموعة من الآليات التنفيذية لكل مقترح من مقترحات الدراسة بحيث يمكن الاستفادة في رفع مستوى وعي طلبة الجامعة وكذلك الوعي المجتمعي بصفة عامة بالآثار المترتبة على زواج الأقارب وكيفية الحد منها.
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- 2022
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38. A Case of Seizure Revealing Fahr's Syndrome with Primary Hypoparathyroidism
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El, Haddad Hemmat, primary, Murad, Heba, additional, Hamdy, Nehal, additional, Abdel, Aziz Rokaya, additional, Moustafa, Heba, additional, Salam, Randa, additional, Magdy, Mohamed, additional, Nagi, Fady, additional, and Atef, Ahmed, additional
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- 2024
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39. Challenging thyroid storm in pregnancy case report
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El, Haddad Hemmat, primary, Murad, Heba, additional, Hamdy, Nehal, additional, Abdel, Aziz Rokaya, additional, Moustafa, Heba, additional, Salam, Randa, additional, Magdy, Mohamed, additional, Nagy, Fady, additional, and Atef, Ahmed, additional
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- 2024
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40. Using Resampling Techniques with Heterogeneous Stacking Ensemble for Mobile App Stores Reviews Analytics
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Gomaa, Ahmed, El-Shorbagy, Sara, El-Gammal, Wael, Magdy, Mohamed, Abdelmoez, Walid, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Hassanien, Aboul Ella, editor, Shaalan, Khaled, editor, and Tolba, Mohamed Fahmy, editor
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- 2020
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41. Biological control of Golovinomyces cichoracearum, the causal pathogen of sunflower powdery mildew
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Adel Ateyh Esawy, Mohsen Mohamed Elsharkawy, Reda Ibrahim Omara, Mamdouh Abdel Fattah Khalifa, Fawzya Mohamed Fadel, and Magdy Mohamed El-Naggar
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Sunflower ,Powdery mildew ,Golovinomyces cichoracearum ,Biological control ,Plant parameters ,Agriculture - Abstract
Abstract Background Powdery mildew was found in most of the sunflower fields in Egypt, causing severe yellowing of the blade, petiole, stem and calyx, as well as a considerable defoliation during the summer season of 2018. Out of the fungal mycelium from infected leaves, collected from sunflower fields in the four Egyptian Governorates (Kafr El-Sheikh, Gharbia, Giza and El-Beheira), five isolates of powdery mildew pathogen were obtained and identified using morphological and molecular identification methods. Results In 2019 and 2020 seasons, five biocontrol agents (Bacillus subtilis, B. pumilus, Trichoderma harzianum, T. viride and T. koningii) were used to control powdery mildew disease on sunflower plants under field conditions compared with the fungicide (Vectra 10% SC). Treatments were significantly effective for controlling the powdery mildew disease relative to the control. The best treatment for reducing disease parameters (final disease severity (FDS%), area under disease progress curve (AUDPC) and efficacy) than the control was T. koningii. Foliar application of all the tested treatments improved plant height, head and stem diameters and seed yield in relation to untreated plants (control). The components (FDS%, AUDPC and efficacy) were extracted and described approximately 95.251% of the pooled data of seasons 2019 and 2020. In such pooled data, the principal components (PC1, PC2 and PC3) of all disease parameters, plant development parameters and yield components were recorded 76.305, 86.635 and 96.265% of the total variance, respectively. Conclusion A biological control agent, such as T. koningii, can be suggested for disease control based on the experimental findings.
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- 2021
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42. Diagnostic accuracy of B-mode ultrasound, ultrasound elastography and diffusion weighted MRI in differentiation of thyroid nodules (prospective study)
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Mahmoud Abdel Latif, Magdy Mohamed El Rakhawy, and Mohamed Fathy Saleh
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Diffusion weighted ,Ultrasound elastography ,Thyroid nodules ,FNAC ,Malignant ,Benign ,Medical physics. Medical radiology. Nuclear medicine ,R895-920 - Abstract
Abstract Background The incidence of the thyroid nodules and its detection is increasing rapidly. The most precise method for diagnosis of the nodules of the thyroid is FNAC. But, about 10–20% of specimens of FNAC are indeterminate and non-diagnostic. Therefore, there is a demand for another diagnostic method for evaluating thyroid nodules. Thyroid ultrasound elastography may improve the ability to differentiate malignant from benign thyroid nodules. Few articles were published about the results of DW MRI in thyroid nodules, with its results confirmed that malignant nodules have lower mean ADC values than benign nodules. This study aims to investigate and compare the accuracy of B-mode ultrasound, ultrasound elastography and diffusion-weighted MRI in characterization of the nodules of the thyroid. Results The study included 56 patients with thyroid nodules (36 benign and 20 malignant). Thyroid ultrasound, ultrasound elastography and DWI were done for all patients. Ultrasound-guided FNA Cytological examination (as the gold standard) was done for 48 patients and surgical histopathology was done to 8 patients with non-diagnostic FNAC. The results showed: TIRADS score had sensitivity 90%, specificity 77.8% and accuracy of 82.14%. The elastography score had sensitivity 80%, specificity 88.9% and accuracy 85.7%. The use of the strain ratio had 80% sensitivity, 94.4% specificity and 89.3% accuracy. DWI and ADC value had 100% sensitivity and 94.4% specificity and the accuracy was 96.4% for differentiating malignant from benign thyroid nodules. Multi-parametric analysis by TIRADS and ADC had 100% accuracy. Conclusion Ultrasound elastography add valuable data over ultrasound TIRADS. But, diffusion weighted MRI and ADC value has more accuracy in differentiating malignant from benign thyroid nodules. The best performance was achieved by the combination of ACR-TIRADS and ADC value.
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- 2021
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43. Study of the influence of shape, orientation, and size of AlN in the γ′-free zone of nickel-based superalloys by microstructure-based numerical models
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Magdy, Mohamed, Hu, Ye-Bing, and Zhao, Jie
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- 2021
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44. COVID‐19 treatment: A potential cause of acute pancreatitis
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Magdy Mohamed Allam, Hanaa Tarek El‐Zawawy, Soha Magdy Ahmed, and Mohamed Aly Abdelhamid
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COVID‐19 ,hypertriglyceridemia ,pancreatitis ,remdesivir ,Medicine ,Medicine (General) ,R5-920 - Abstract
Abstract Remdesivir can precipitate fatal acute necrotizing pancreatitis especially in patients who previously suffer from hypertriglyceridemia.
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- 2022
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45. Added value of contrast-enhanced spectral mammogram in assessment of suspicious microcalcification and grading of DCIS
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Ola Magdy Mohamed Shetat, Amr Farouk Ibrahim Moustafa, Sara Zaitoon, Mohamed Ibrahim Ibrahim Fahim, Ghada Mohamed, and Mohammed Mohammed Gomaa
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CESM ,DCIS ,Microcalcifications ,Medical physics. Medical radiology. Nuclear medicine ,R895-920 - Abstract
Abstract Background Breast microcalcifications are one of the most difficult mammographic findings to assess. The purpose of this study is to assess the ability of contrast-enhanced spectral mammography in the assessment of suspicious microcalcification and in predicting the grade of DCIS. Methods Three hundred and forty cases with suspicious microcalcification were reviewed in this study. We excluded 160 cases associated with masses. We enrolled 180 cases for analysis of suspicious microcalcification on mammograms with no underlying masses. We reviewed the microcalcification for their morphology, distribution, and associated pathological enhancement according to BI-RADS lexicon with pathology results reviewed and classified into benign and malignant which subdivided into low, intermediate, or high-grade DCIS or invasive carcinoma. Results Three hundred and forty cases with suspicious microcalcification were reviewed in this study. We excluded 160 cases associated with masses. Forty-five of 180 cases were benign, and 135/180 cases were malignant. Twenty-five of 135 cases were diagnosed as invasive breast carcinomas while 110/135 were ductal carcinoma in situ. From the latter, 110 patients with DCIS, 22/110 cases were low grade, 11/110 cases were intermediate grade, and 77/110 cases were high grade (44 with micro-invasion). A total of 25 invasive carcinomas showed pathological non-mass enhancement, 76/77 cases of high-grade DCIS, and 6/11 cases of intermediate-grade DCIS. No abnormal enhancement appeared with benign entities, low-grade DCIS, and 5/11 cases of intermediate DCIS. The diagnostic performance of CESM in anticipation of high grade in DCIS patients was sensitivity of 98%, specificity of 81.8%, and accuracy of 93.1%. CESM sensitivity, specificity, and accuracy in prediction of invasiveness or high-grade DCIS were 98.5%, 81.8%, and 87.5%, respectively. Conclusion CESM can provide a fundamental contribution in the evaluation of suspicious microcalcification as high-grade DCIS or invasive component can present by non-mass enhancement, but enhancement paucity is favorable to diagnose benign lesion or non-invasive/low-grade DCIS.
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- 2021
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46. STEMI and COVID-19 Pandemic in Saudi Arabia
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Daoulah, Amin, Hersi, Ahmad S., Al-Faifi, Salem M., Alasmari, Abdulaziz, Aljohar, Alwaleed, Balghith, Mohammed, Alshehri, Mohammed, Youssef, Ali A., ElSayed, Osama, Alama, Mohamed Nabil, Refaat, Wael A., Alzahrani, Badr, Dahdouh, Ziad, Khan, Abdul Salim, Ghani, Mohamed A., Soofi, Muhammad Adil, Alasnag, Mirvat, Kazim, Hameedullah M., Elganady, Abdelmaksoud, Hassan, Taher, Ibrahim, Ahmed Mahmoud, Amellal, Zainab, Alsmadi, Faisal, Ghazi, Abdulrahman M., Alshehri, Abdulaziz M., Alhulayfi, Mohammed S., Ghonim, Ahmed A., Algazzar, Alaa S., AL Garni, Turki A., AlHarbi, Waleed, Jouda, Ahmed A., Al-Shaibi, Khaled, Albasiri, Saleh, Abuelatta, Reda, Tawfik, Wael, Magdy, Mohamed, Alasmari, Sami Rashed, Selim, Ehab, Elramly, Mohamed, Abufayyah, Mohammed A., Alshahrani, Saif S., Alqahtani, Abdulrahman H., Ahmed, Fatima Ali, Ahmed, Waleed A., and Lotfi, Amir
- Published
- 2021
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47. Disclosure quality, corporate governance mechanisms and firm value
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Anis, Radwa Magdy Mohamed and Heather, Project
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658.4 ,Disclosure Quality ,OFR ,Voluntary Disclosure Quality ,Corporate Governance ,Firm Value ,Corporations--Finance ,Social responsibility of business ,Financial disclosure - Abstract
One of the main aims of the underlying research is to respond to continuous calls for introducing and measuring a sound economic definition for best practice disclosure quality (e.g. Beyer et al., 2010) that is derived from a reliable guidance framework (Botosan, 2004) using an innovative natural language processing technique (Berger, 2011). It also aims to examine the impact of corporate governance on best practice disclosure quality. Finally, it aims to examine the joint effect of both best practice disclosure quality and corporate governance on firm value. The thesis contributes to disclosure studies in three principal ways. First, it introduces a new measure for best practice disclosure quality. Further tests show that the proposed measure is reliable and valid. A novel feature of this measure is that it captures all qualitative dimensions of information issued by the Accounting Standards Board, 2006 (ASB) Operating and Financial Review (OFR) Reporting Statement. Second, it uses machine-readable OFR statements for financial years ending in 2006-2009, and develops a language processing technique through constructing five keyword lists. Third, it examines the extent to which disclosure quantity provides a proper proxy for disclosure quality. The analysis shows that disclosure quantity is not a good proxy for disclosure quality. Accordingly, results derived, using quantity as a proxy for quality, are questionable. Results of the association between disclosure quality and corporate governance mechanisms suggest that the most effective governance mechanisms in improving disclosure quality are leadership structure, audit committee meeting frequency, and audit firm size. Using a wide set of corporate governance mechanisms, the study also contributes to three research strands and explains the inconclusive results in relation to the association between disclosure quality, corporate governance mechanisms and firm value. It provides empirical evidence as to which governance mechanisms promote the quality of voluntarily disclosed information in large UK firms. Additionally, it provides empirical evidence as to the joint effect of best practice disclosure quality, corporate governance mechanisms on firm value in the UK. Results also show that best practice disclosure quality enjoys a substitutive relationship with two corporate governance mechanisms (audit committee independence and audit committee size) and a complementary association with board independence in relation to firm value. The study has various research and policy implications. It suggests new research avenues for re-examining disclosure relationships, especially research areas that do not have persuasive conclusions such as the economic consequences of disclosure quality. Such research may inform both regulators and managers as to the costs and benefits of disclosure quality to both firms and stakeholders. It also provides feedback on the current disclosure practices by firms so that policy-makers can modify reporting frameworks/guidance accordingly.
- Published
- 2016
48. Management accounting and supply chains : actions, concerns, and networks
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El Sayad, Samar Magdy Mohamed Mohamed
- Subjects
658.15 ,HD28 Management. Industrial Management ,HF Commerce ,HF5601 Accounting ,HG Finance - Abstract
What does this thesis do? This thesis uses Actor-Network Theory (ANT) to examine how a UK retailer’s organization and strategy, and, in turn, its form of management accounting was shaped by its supply chain. The thesis does this by reporting on four related themes in the form of four inter-connected essays. The first essay undertakes a state-of-the-art review of the literature. It examines how accounting issues within supply chains permeate ‘matters of concern’. In accordance with this idea of ANT, the essay illustrates how issues emerged, controversies developed, and matters evolved through an actor-network of accounting researchers within the supply chain domain. This leads on to the second essay, which exemplifies the nature of the UK’s retailing industry within which the supply chain case organization emerged and developed. The purposes of the essay are twofold: to introduce the contextual ramifications of the case organization; and to illustrate the emergence of a new market logic, which led to the creation of a global supply chain and a new form of management accounting therein. The third essay reports on a qualitative case study. It analyses the dualistic relation between ostensive and performative aspects of supply chain strategy, reveals how accounting numbers act as an obligatory passage point within this dualism, and makes a contribution to the ANT debate around the issue of whether and how a dualism between ostensive and performative aspects exists. The final essay reports on another case analysis of institutionalizing a heterarchical form of management accounting: a distributed form of intelligence that penetrates through lateral accountable relations. The analysis reveals a new form of management accounting characterised by ambiguity; it emphasizes the possibilities of compromises and negotiations, and it thus contributes to knowledge by combining an aspect of ANT with heterarchical tendencies in the world of contemporary organizations. Finally, the thesis concludes that it is the supply chain that organises today’s neoliberal capitalism; and it is management accounting that unites both human and non-human actors within such supply chains, despite that form of management accounting being ambiguous. The thesis comprises the introduction, these four essays, and the conclusion.
- Published
- 2016
49. Added Value of Transvaginal Real-Time Shear Wave Elastography in the Diagnosis of Endometrial and Sub-endometrial Lesions.
- Author
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Soliman, Basma Kamal, Hasan, Amira Abdelaziz, Elfawal, Magdy Mohamed, and Amin, Mohamed Ibrahim
- Subjects
SHEAR waves ,ENDOMETRIAL hyperplasia ,ENDOMETRIAL cancer ,ELASTOGRAPHY ,WOMEN patients ,UTERINE hemorrhage - Abstract
Background: Endometrial and sub-endometrial lesions are a common cause of abnormal uterine bleeding. Ultrasound is a reliable diagnostic tool for those lesions, but not all patients exhibit definite changes in ultrasound, making additional techniques necessary. Elastography, such as shear wave elastography (SWE), can assess the mechanical properties of the endometrial lesions and provides a quantitative measure of tissue stiffness and so aids in differentiating different pathologies. Our study aimed to determine the added value of SWE in diagnosis of different endometrial and sub-endometrial lesions. Methods: Thirty-six female patients presented with abnormal uterine bleeding (AUB) with pathologically proven endometrial and sub-endometrial pathologies were included in this prospective study and assessed with transvaginal SWE. The mean elasticity values (E mean) in Kilopascals (KPa), and the ratio of the mean elasticity of the lesion to the mean myometrial elasticity (E/M ratio) were calculated in variable lesions. Results: There was a statistically significant difference in the E mean (P > 0.001) as well as the E/M ratio of different endometrial and sub-endometrial lesions (P > 0.001). E mean value in endometrial carcinoma (EC) was 39.79 ± 3.65, endometrial hyperplasia (EH) was 24.24 ± 1.52, and endometrial polyp was 15.74 ± 2.71. While that of submucosal fibroid was 59.36 ± 12.84 and adenomyoma (AM) was 52.15 ± 4.44. In the analysis of the subgroups, the E/M ratio of uterine polyp (0.36 ± 0.07) was statistically significantly lower than other subgroups (P >0.01), while submucosal leiomyoma (1.8 ± 0.27) and focal adenomyoma (1.37 ± 0.07) had significantly higher values than other subgroups (P < 0.01). Conclusions: Shear wave elastography is an effective additional method in differentiating between benign and malignant endometrial and sub-endometrial lesions when combined with conventional ultrasonography. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
50. Reliable Collaborative Semi-infrastructure Vehicle-to-Vehicle Communication for Local File Sharing
- Author
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Mokhtar, Bassem, Azab, Mohamed, Fathalla, Efat, Ghourab, Esraa M., Magdy, Mohamed, Eltoweissy, Mohamed, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Xiaohua, Jia, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Wang, Xinheng, editor, Gao, Honghao, editor, Iqbal, Muddesar, editor, and Min, Geyong, editor
- Published
- 2019
- Full Text
- View/download PDF
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