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| 1 | Management of tear trough deformity with and without tear trough-orbicularis retaining ligament complex release in transconjunctival blepharoplasty: a comparative study显示文摘AIM: To evaluate the effect of releasing the orbicularis retaining ligament(ORL) complex of the tear trough combined with the transconjunctival blepharoplasty in the surgical management of tear trough deformity compared with the effect of blepharoplasty alone. METHODS: A prospective, randomized(by closed envelope technique), controlled surgical trial which included 50 patients(100 eyes) with bilateral visible tear trough deformity and lower eyelid fat bulging, was divided into two groups where 25 patients(50 eyes) had tear trough-ORL release with blepharoplasty and 25 patients(50 eyes) didn't. Qualitative and quantitative assessments of tear trough deformity were done at 6 mo postoperatively, achieving grade 0 or 1 of Barton's classification was considered a success. Standardized photographic documentation of each patient was done pre and postoperatively, also assessment of the patients' satisfaction postoperatively was done and ranked as excellent, very good, good or fair. RESULTS: There was statistically significant difference between the two groups in the overall aesthetic results postoperatively regarding the qualitative and quantitative analysis of the tear trough deformity, where patients who had tear trough-ORL complex release had more successful outcomes than those of the second group. CONCLUSION: ORL release should be done in patients with tear trough deformity in order to release the tethering effect of this ligament which causes the prominence of the naso jugal groove. | Tamer Ismail Gawdat Engy Abd Eltawab Elsherif Yomna Amr Alahmadawy Yehia Salah Eldin Mostafa | 2019 | International Journal of Ophthalmology(English edition)2019，12，1： | 12 |
| 2 | Stem Cell Therapy Improves the Outcome of Liver Resection in Cirrhotics显示文摘 | Alaa Ismail Ossama Fouad Amr Abdelnasser Andaleeb Chowdhury Abdulhafez Selim | 2010 | Journal of Gastrointestinal Cancer2010，，1： | 1 |
| 3 | A randomized controlled trial to assess the safety and efficacy of silymarin on symptoms, signs and biomarkers of acute hepatitis显示文摘 | Samer S. El-Kamary Michelle D. Shardell Mohamed Abdel-Hamid Soheir Ismail Mohamed El-Ateek Mohamed Metwally Nabiel Mikhail Mohamed Hashem Amr Mousa Amr Aboul-Fotouh Mohamed El-Kassas Gamal Esmat G. Thomas Strickland | 2009 | Phytomedicine2009，，5： | 1 |
| 4 | Recoverability of renal function after treatment of adult patients with unilateral obstructive uropathy and normal contralateral kidney: A prospective study显示文摘 | Ismail M. Khalaf Ahmed A. Shokeir Farouk I. El-Gyoushi Hussein S. Amr Moamen M. Amin | 2004 | Urology2004，，4： | 1 |
| 5 | Urban–rural differences in breast cancer incidence in Egypt (1999–2006)显示文摘 | Subhojit Dey Amr S. Soliman Ahmad Hablas Ibrahim A. Seifeldein Kadry Ismail Mohamed Ramadan Hesham El-Hamzawy Mark L. Wilson Mousumi Banerjee Paolo Boffetta Joe Harford Sofia D. Merajver | 2010 | The Breast2010，，5： | 1 |
| 6 | Urban–rural differences in breast cancer incidence in Egypt (1999–2006)显示文摘 | Subhojit Dey Amr S. Soliman Ahmad Hablas Ibrahim A. Seifeldein Kadry Ismail Mohamed Ramadan Hesham El-Hamzawy Mark L. Wilson Mousumi Banerjee Paolo Boffetta Joe Harford Sofia D. Merajver | 2010 | The Breast2010，，5： | 1 |
| 7 | Stem Cell Therapy Improves the Outcome of Liver Resection in Cirrhotics显示文摘 | Alaa Ismail Ossama Fouad Amr Abdelnasser Andaleeb Chowdhury Abdulhafez Selim | 2010 | Journal of Gastrointestinal Cancer2010，，1： | 1 |
| 8 | A Novel Deep Learning-Based Model for Classification of Wheat Gene Expression显示文摘Deep learning(DL)plays a critical role in processing and converting data into knowledge and decisions.DL technologies have been applied in a variety of applications,including image,video,and genome sequence analysis.In deep learning the most widely utilized architecture is Convolutional Neural Networks(CNN)are taught discriminatory traits in a supervised environment.In comparison to other classic neural networks,CNN makes use of a limited number of artificial neurons,therefore it is ideal for the recognition and processing of wheat gene sequences.Wheat is an essential crop of cereals for people around the world.Wheat Genotypes identification has an impact on the possible development of many countries in the agricultural sector.In quantitative genetics prediction of genetic values is a central issue.Wheat is an allohexaploid(AABBDD)with three distinct genomes.The sizes of the wheat genome are quite large compared to many other kinds and the availability of a diversity of genetic knowledge and normal structure at breeding lines of wheat,Therefore,genome sequence approaches based on techniques of Artificial Intelligence(AI)are necessary.This paper focuses on using the Wheat genome sequence will assist wheat producers in making better use of their genetic resources and managing genetic variation in their breeding program,as well as propose a novel model based on deep learning for offering a fundamental overview of genomic prediction theory and current constraints.In this paper,the hyperparameters of the network are optimized in the CNN to decrease the requirement for manual search and enhance network performance using a new proposed model built on an optimization algorithm and Convolutional Neural Networks(CNN). | Amr Ismail WalidHamdy Aya MAl-Zoghby Wael AAwad Ahmed Ismail Ebada Yunyoung Nam Byeong-Gwon Kang Mohamed Abouhawwash | 2024 | Computer Systems Science & Engineering2024，48，2： | 0 |
| 9 | Improvement of Selected Morphological, Physiological, and Biochemical Parameters of Banana (Musa acuminata L.) Using Potassium Silicate under Drought Stress Condition Grown in vitro显示文摘Drought stress has become more common in recent years as a result of climate change impacts on the production of banana crops and other fruit trees.The growth and productivity of Musa spp are severely impacted by the gradual degradation of water resources and the erratic distribution pattern of annual precipitation amount.The aim of the work includes increased drought tolerance in light of water scarcity in the world as a result of the bananas’being gluttonous for water needs.This investigation was carried out from 2019 to 2020 to study the effect of potassium silicate on morphological growth and biochemical parameters of Musa acuminata L under drought stress by PEG.As a result,drought stress reduced the morphological characteristics such as shoots number,shoot length,roots number,and survival percentage and biochemical characteristics such as chlorophyll a,b,carotenoids,stomatal status,and RWC.While proline content increased in the leaf of M.acuminata L.Media complemented with K2SiO3(2 to 6 mM)either individually or in combination with PEG led to an improvement in all morphological and biochemical characteristics.The activities of CAT,POD,and PPO enzymes increased significantly compared to control.Furthermore,the lowest PPO,CAT,and POD activity were achieved.Additionally,K2SiO3 treatments under drought stress successfully enhanced the leaf stomatal behavior.Our results suggest that K2SiO3 can help to maintain plant integrity in the tested cultivar under drought stress. | Hosny Abdel Aziz Mohamed Sharaf Magdy Omar Ahmed Abou El-Yazied Nada Ibrahim AlJwaizea Shaimaa Ismail Mohamed M.A.Omar Khadiga Alharbi Amr Elkelish Moataz Tawfik | 2023 | Phyton-International Journal of Experimental Botany2023，92，4： | 0 |
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