51 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Today's most immediate threat to address is terrorism. Terror organizations use illegal methods to raise their fund, such as scamming banks, fraud, donation, ransom and oil. This illicit money needs be laundered to be used within legal economy through fin, "Counter Terrorism Finance By Detecting Money Laundering Hidden Networks Using Unsupervised Machine Learning Algorithm", 2020. Today's most immediate threat to address is terrorism. Terror organizations use illegal methods to raise their fund, such as scamming banks, fraud, donation, ransom and oil. This illicit money needs be laundered to be used within legal economy through fin,vol., no., pp. 89 - 97, 2020-05-01.
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52 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Cancer detection is one of the most important research fields in the area of intelligent computing. Skin lesion diagnosis is a challenging topic, and several models have experimented on different datasets. Researchers proposed classification models that c, "Machine Learning Model For Multiclass Lesion Diagnoses", 2020. Cancer detection is one of the most important research fields in the area of intelligent computing. Skin lesion diagnosis is a challenging topic, and several models have experimented on different datasets. Researchers proposed classification models that c,vol., no., pp. - , 2020-10-24.
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53 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Today’s most immediate threat to be addressed is terrorism. Like any other business, terrorism requires financing, terror organizations use number of illegal methods to raise their funds and their sources are various like scamming banks and fraud, selling, "Survey Of Machine Learning Approaches Of Anti-Money Laundering Techniques To Counter Terrorism Finance", 2020. Today’s most immediate threat to be addressed is terrorism. Like any other business, terrorism requires financing, terror organizations use number of illegal methods to raise their funds and their sources are various like scamming banks and fraud, selling,vol., no., pp. 73 - 87, 2020-04-01.
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54 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Social media is one of the most influential means of communication in the present day. Youths and young adults use these sites to communicate with their peers, share information, reinvent their personalities, and showcase their social lives. Nowadays, not, "Comparative Study: Different Techniques To Detect Depression Using Social Media", 2020. Social media is one of the most influential means of communication in the present day. Youths and young adults use these sites to communicate with their peers, share information, reinvent their personalities, and showcase their social lives. Nowadays, not,vol., no., pp. 441 - 452, 2020-04-04.
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55 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Multiple sclerosis disease is a main cause of non-traumatic disabilities and one of the most common neurological disorders in young adults over many countries. In this work, we introduce a survey study of the utilization of machine learning methods in Mul, "Machine Learning In Early Genetic Detection Of Multiple Sclerosis Disease: Asurvey", 2020. Multiple sclerosis disease is a main cause of non-traumatic disabilities and one of the most common neurological disorders in young adults over many countries. In this work, we introduce a survey study of the utilization of machine learning methods in Mul,vol.12, no.5, pp. 1 - 18, 2020-10-01.
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56 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
With the development of the new era of technology and social networks, forums, blogs, and online sales, combined with the increase of Arabs expressing their opinions, it became an urgent matter to do this research. This paper investigates different deep n, "Word Embeddings And Neural Network Architectures For Arabic Sentiment Analysis", 2020. With the development of the new era of technology and social networks, forums, blogs, and online sales, combined with the increase of Arabs expressing their opinions, it became an urgent matter to do this research. This paper investigates different deep n,vol., no., pp. - , 2020-12-29.
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57 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Chronic Kidney Disease (CKD) is considered one of the major high-risk chronic diseases on humans’ health that causes death in its late stages. Moreover, treating CKD patients cost huge amounts to be paid based on their stage. In fact, it becomes significa, "Predicting The Risk Factor For Developing Chronic Kidney Disease Using A 3-Stage Prediction Model", 2020. Chronic Kidney Disease (CKD) is considered one of the major high-risk chronic diseases on humans’ health that causes death in its late stages. Moreover, treating CKD patients cost huge amounts to be paid based on their stage. In fact, it becomes significa,vol.2, no.0, pp. 631 - 641, 2020-02-13.
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58 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Today's most immediate threat to address is terrorism. Terror organizations use illegal methods to raise their fund, such as scamming banks, fraud, donation, ransom and oil. This illicit money needs be laundered to be used within legal economy through fin, "Counter Terrorism Finance By Detecting Money Laundering Hidden Networks Using Unsupervised Machine Learning Algorithm", 2020. Today's most immediate threat to address is terrorism. Terror organizations use illegal methods to raise their fund, such as scamming banks, fraud, donation, ransom and oil. This illicit money needs be laundered to be used within legal economy through fin,vol., no., pp. 89 - 97, 2020-05-01.
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Conference
59 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Cancer detection is one of the most important research fields in the area of intelligent computing. Skin lesion diagnosis is a challenging topic, and several models have experimented on different datasets. Researchers proposed classification models that c, "Machine Learning Model For Multiclass Lesion Diagnoses", 2020. Cancer detection is one of the most important research fields in the area of intelligent computing. Skin lesion diagnosis is a challenging topic, and several models have experimented on different datasets. Researchers proposed classification models that c,vol., no., pp. - , 2020-10-24.
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60 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Today’s most immediate threat to be addressed is terrorism. Like any other business, terrorism requires financing, terror organizations use number of illegal methods to raise their funds and their sources are various like scamming banks and fraud, selling, "Survey Of Machine Learning Approaches Of Anti-Money Laundering Techniques To Counter Terrorism Finance", 2020. Today’s most immediate threat to be addressed is terrorism. Like any other business, terrorism requires financing, terror organizations use number of illegal methods to raise their funds and their sources are various like scamming banks and fraud, selling,vol., no., pp. 73 - 87, 2020-04-01.
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61 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Social media is one of the most influential means of communication in the present day. Youths and young adults use these sites to communicate with their peers, share information, reinvent their personalities, and showcase their social lives. Nowadays, not, "Comparative Study: Different Techniques To Detect Depression Using Social Media", 2020. Social media is one of the most influential means of communication in the present day. Youths and young adults use these sites to communicate with their peers, share information, reinvent their personalities, and showcase their social lives. Nowadays, not,vol., no., pp. 441 - 452, 2020-04-04.
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Conference
62 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Multiple sclerosis disease is a main cause of non-traumatic disabilities and one of the most common neurological disorders in young adults over many countries. In this work, we introduce a survey study of the utilization of machine learning methods in Mul, "Machine Learning In Early Genetic Detection Of Multiple Sclerosis Disease: Asurvey", 2020. Multiple sclerosis disease is a main cause of non-traumatic disabilities and one of the most common neurological disorders in young adults over many countries. In this work, we introduce a survey study of the utilization of machine learning methods in Mul,vol.12, no.5, pp. 1 - 18, 2020-10-01.
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Journal
63 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
With the development of the new era of technology and social networks, forums, blogs, and online sales, combined with the increase of Arabs expressing their opinions, it became an urgent matter to do this research. This paper investigates different deep n, "Word Embeddings And Neural Network Architectures For Arabic Sentiment Analysis", 2020. With the development of the new era of technology and social networks, forums, blogs, and online sales, combined with the increase of Arabs expressing their opinions, it became an urgent matter to do this research. This paper investigates different deep n,vol., no., pp. - , 2020-12-29.
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Conference
64 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Chronic Kidney Disease (CKD) is considered one of the major high-risk chronic diseases on humans’ health that causes death in its late stages. Moreover, treating CKD patients cost huge amounts to be paid based on their stage. In fact, it becomes significa, "Predicting The Risk Factor For Developing Chronic Kidney Disease Using A 3-Stage Prediction Model", 2020. Chronic Kidney Disease (CKD) is considered one of the major high-risk chronic diseases on humans’ health that causes death in its late stages. Moreover, treating CKD patients cost huge amounts to be paid based on their stage. In fact, it becomes significa,vol.2, no.0, pp. 631 - 641, 2020-02-13.
Read Abstract Read Research - Research type :
Conference
65 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Today's most immediate threat to address is terrorism. Terror organizations use illegal methods to raise their fund, such as scamming banks, fraud, donation, ransom and oil. This illicit money needs be laundered to be used within legal economy through fin, "Counter Terrorism Finance By Detecting Money Laundering Hidden Networks Using Unsupervised Machine Learning Algorithm", 2020. Today's most immediate threat to address is terrorism. Terror organizations use illegal methods to raise their fund, such as scamming banks, fraud, donation, ransom and oil. This illicit money needs be laundered to be used within legal economy through fin,vol., no., pp. 89 - 97, 2020-05-01.
Read Abstract Read Research - Research type :
Conference
66 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Cancer detection is one of the most important research fields in the area of intelligent computing. Skin lesion diagnosis is a challenging topic, and several models have experimented on different datasets. Researchers proposed classification models that c, "Machine Learning Model For Multiclass Lesion Diagnoses", 2020. Cancer detection is one of the most important research fields in the area of intelligent computing. Skin lesion diagnosis is a challenging topic, and several models have experimented on different datasets. Researchers proposed classification models that c,vol., no., pp. - , 2020-10-24.
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Conference
67 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Today’s most immediate threat to be addressed is terrorism. Like any other business, terrorism requires financing, terror organizations use number of illegal methods to raise their funds and their sources are various like scamming banks and fraud, selling, "Survey Of Machine Learning Approaches Of Anti-Money Laundering Techniques To Counter Terrorism Finance", 2020. Today’s most immediate threat to be addressed is terrorism. Like any other business, terrorism requires financing, terror organizations use number of illegal methods to raise their funds and their sources are various like scamming banks and fraud, selling,vol., no., pp. 73 - 87, 2020-04-01.
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Conference
68 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Social media is one of the most influential means of communication in the present day. Youths and young adults use these sites to communicate with their peers, share information, reinvent their personalities, and showcase their social lives. Nowadays, not, "Comparative Study: Different Techniques To Detect Depression Using Social Media", 2020. Social media is one of the most influential means of communication in the present day. Youths and young adults use these sites to communicate with their peers, share information, reinvent their personalities, and showcase their social lives. Nowadays, not,vol., no., pp. 441 - 452, 2020-04-04.
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Conference
69 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
Multiple sclerosis disease is a main cause of non-traumatic disabilities and one of the most common neurological disorders in young adults over many countries. In this work, we introduce a survey study of the utilization of machine learning methods in Mul, "Machine Learning In Early Genetic Detection Of Multiple Sclerosis Disease: Asurvey", 2020. Multiple sclerosis disease is a main cause of non-traumatic disabilities and one of the most common neurological disorders in young adults over many countries. In this work, we introduce a survey study of the utilization of machine learning methods in Mul,vol.12, no.5, pp. 1 - 18, 2020-10-01.
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Journal
70 - Topic : Artificial Intelligence & Neural Networks AuthorMOHAMED MOHAMED ABDELFATTAH ABOURIZKA
With the development of the new era of technology and social networks, forums, blogs, and online sales, combined with the increase of Arabs expressing their opinions, it became an urgent matter to do this research. This paper investigates different deep n, "Word Embeddings And Neural Network Architectures For Arabic Sentiment Analysis", 2020. With the development of the new era of technology and social networks, forums, blogs, and online sales, combined with the increase of Arabs expressing their opinions, it became an urgent matter to do this research. This paper investigates different deep n,vol., no., pp. - , 2020-12-29.
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Conference
71 - Topic : Artificial Intelligence & Neural Networks AuthorNashwa Mamdouh Mohamed Elbendary
Hadeer El-ziaat, Nashwa El-Bendary, and Ramadan Moawad, "Using Multi-Feature Fusion for Detecting Freezing of Gait Episodes in Patients with Parkinson's Disease", 2020. Hadeer El-ziaat, Nashwa El-Bendary, and Ramadan Moawad,vol.0, no.0, pp. - , 2020-02-01.
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72 - Topic : Artificial Intelligence & Neural Networks AuthorNashwa Mamdouh Mohamed Elbendary
Ala'a El-Nabawy, Nashwa El-Bendary, Nahla A. Belal, "A feature-fusion framework of clinical, genomics, and histopathological data for METABRIC breast cancer subtype classification", 2020. Ala'a El-Nabawy, Nashwa El-Bendary, Nahla A. Belal,vol.0, no.0, pp. - , 2020-03-24.
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73 - Topic : Artificial Intelligence & Neural Networks AuthorNashwa Mamdouh Mohamed Elbendary
Heba Osman, Nashwa El-Bendary, Essam El Fakharany, Mohamed El Emam, "Ontology Based Recommendation System for Predicting Cultivation and Harvesting Timings Using Support Vector Regression", 2020. Heba Osman, Nashwa El-Bendary, Essam El Fakharany, Mohamed El Emam,vol.0, no.0, pp. - , 2020-10-14.
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74 - Topic : Artificial Intelligence & Neural Networks AuthorOla Elaraby Hassan Abdelaziz
Ahmed K. Abdelsalam, "New Time Horizon Based Classification of PV Power Generation Forecasting Techniques", 2020. Ahmed K. Abdelsalam,vol.0, no.0, pp. - , 2020-12-13.
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75 - Topic : Artificial Intelligence & Neural Networks AuthorOsama Mohamed Badawy
Osama Badawy, Noura Samy, Radwa Fathalla, Nahla A. Belal, "Classification of Autism Gene Expression Data Using Deep Learning", 2020. Osama Badawy, Noura Samy, Radwa Fathalla, Nahla A. Belal,vol.0, no.0, pp. - , 2020-01-01.
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76 - Topic : Artificial Intelligence & Neural Networks AuthorRana Alaa Aldin Ahmed Ibrahim
Rana Alaa/ Mariam Gawish/ Manuel Fernandez- Veiga, "Personalized Recommendation for Online Retail Applications Based on Ontology Evolution", 2020. Rana Alaa/ Mariam Gawish/ Manuel Fernandez- Veiga,vol.0, no.0, pp. - , 2020-05-29.
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77 - Topic : Artificial Intelligence & Neural Networks AuthorSaleh Mosbah mohamed Elkafas
Saad M. Darwish, Ali E. Anber, "Bio-inspired Machine Learning Mechanism for Detecting Malicious URL Through Passive DNS in Big Data Platform", 2020. Saad M. Darwish, Ali E. Anber,vol.0, no.0, pp. - , 2020-12-15.
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78 - Topic : Artificial Intelligence & Neural Networks AuthorSherin Mohamed Elsaid Morsy
Given the significant growth in electronic commerce, firms are seeking technological innovations and innovative capabilities to deal concurrently with the data’ volume generated and gaining insights from it for better decisions. Although recent studies id, "A Predictive Analytics Model for E-commerce Sales Transactions to Support Decision-Making - Case Study: Egypt", 2020. Given the significant growth in electronic commerce, firms are seeking technological innovations and innovative capabilities to deal concurrently with the data’ volume generated and gaining insights from it for better decisions. Although recent studies id,vol.9, no.1, pp. - , 2020-01-02.
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79 - Topic : Computer Architecture & Parallel Processing AuthorAMMAR MOSTAFA HASSAN ALI AMMAR
Hassan Youness, Muhammad Osama, Aziza Hussein, Mohammed Moness, Ammar Mostafa Hassan, "An effective sat solver utilizing ACO based on heterogenous systems", 2020. Hassan Youness, Muhammad Osama, Aziza Hussein, Mohammed Moness, Ammar Mostafa Hassan,vol.0, no.0, pp. - , 2020-06-02.
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80 - Topic : others AuthorAmira Mostafa Helmy Sonbul
Xavier Norel, Chengcan Yao, Gulsev Ozen, Heba Abdelazeem, Yasmine Amgoud, Amel Bouhadoun, Wesam Bassiouni, Marie Goepp, Salma Mani, Hasanga Manikpurage, Amira Senbel, Dan Longrois, Akos Heinemann, Yukihiko Sugimoto, and Lucie H. Clapp, "International Union of Basic and Clinical Pharmacology. CIX. Differences and similarities between human and rodents concerning EP1-4 and IP receptors: Specific roles in pathophysiological conditions.", 2020. Xavier Norel, Chengcan Yao, Gulsev Ozen, Heba Abdelazeem, Yasmine Amgoud, Amel Bouhadoun, Wesam Bassiouni, Marie Goepp, Salma Mani, Hasanga Manikpurage, Amira Senbel, Dan Longrois, Akos Heinemann, Yukihiko Sugimoto, and Lucie H. Clapp,vol.0, no.0, pp. - , 2020-10-01.
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81 - Topic : others AuthorAmira Roshedy Mohamed Khattab
Amira R. Khattab & Mohamed A. Farag, "Current status and perspectives of xanthones production using cultured plant biocatalyst models aided by in-silico tools for its optimization", 2020. Amira R. Khattab & Mohamed A. Farag,vol.0, no.0, pp. - , 2020-02-13.
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82 - Topic : others AuthorAmira Roshedy Mohamed Khattab
Shady NH, Khattab AR, Ahmed S, Liu M, Quinn RJ, Fouad MA, Kamel MS, Muhsinah AB, Krischke M, Mueller MJ, Abdelmohsen UR., "Hepatitis C Virus NS3 Protease and Helicase Inhibitors from Red Sea Sponge (Amphimedon) Species in Green Synthesized Silver Nanoparticles Assisted by in Silico Modeling and Metabolic Profiling", 2020. Shady NH, Khattab AR, Ahmed S, Liu M, Quinn RJ, Fouad MA, Kamel MS, Muhsinah AB, Krischke M, Mueller MJ, Abdelmohsen UR.,vol.0, no.0, pp. - , 2020-05-12.
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83 - Topic : others AuthorAmira Roshedy Mohamed Khattab
Mohamed A. Farag,Bishoy Abib, Laila Ayad & Amira R. Khattab, "Sweet and bitter oranges:An updted comparative review of their bioactives,nutrition,food quality,therapeutic merits and biowaste valorization practices", 2020. Mohamed A. Farag,Bishoy Abib, Laila Ayad & Amira R. Khattab,vol.0, no.0, pp. - , 2020-06-20.
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84 - Topic : others AuthorAmira Roshedy Mohamed Khattab
Seham S. ElHawary, Amira R. Khattab, Hanan S. Marzouk,c Amira S. El Senousy, Mariam A. Alex, Omar Aly, Mohamed Teleb & Usama R. Abdelmohsen, "In silico identification of SARS-CoV-2 spike (S) protein-ACE2 complex inhibitors from eight Tecoma species and cultivars analyzed by LC-MS", 2020. Seham S. ElHawary, Amira R. Khattab, Hanan S. Marzouk,c Amira S. El Senousy, Mariam A. Alex, Omar Aly, Mohamed Teleb & Usama R. Abdelmohsen,vol.0, no.0, pp. - , 2020-11-23.
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85 - Topic : others AuthorAmira Roshedy Mohamed Khattab
Samar R. Saleh, Sherien A. Abdelhady, Amira R. Khattab, Wessam F. El-Hadidy, "Dual prophylactic/therapeutic potential of date seed, and nigella and olive oils-based nutraceutical formulation in rats with experimentally-induced Alzheimer's disease: A mechanistic insight", 2020. Samar R. Saleh, Sherien A. Abdelhady, Amira R. Khattab, Wessam F. El-Hadidy,vol.0, no.0, pp. - , 2020-11-02.
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86 - Topic : others Authoreman abd el fatah mohamed
Eman S. Habib , Eman El-Bsoumy , Amany K. Ibrahim , Mohamed A. Helal ,
Mohammed A. El-Magd & Safwat A. Ahmed, "Anti-inflammatory effect of methoxyflavonoids from Chiliadenus montanus (Jasonia Montana) growing in Egypt", 2020. Eman S. Habib , Eman El-Bsoumy , Amany K. Ibrahim , Mohamed A. Helal ,
Mohammed A. El-Magd & Safwat A. Ahmed,vol.0, no.0, pp. - , 2020-08-04.
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87 - Topic : others AuthorMarium Muhamed Hassan Moustafa Shamaa
Marium M.Shamaa, "Sulfasalazine synergistically enhances the inhibitory effects of imatinib against hepatocellular carcinoma (HCC) cells by targeting NFκB, BCR/ABL, and PI3K/AKT signaling pathwayrelated proteins", 2020. Marium M.Shamaa,vol.0, no.0, pp. - , 2020-12-02.
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88 - Topic : others AuthorMarium Muhamed Hassan Moustafa Shamaa
Marium M. Shamaa, "Immunotherapy for different types of cancer: current status and future prospects", 2020. Marium M. Shamaa,vol.0, no.0, pp. - , 2020-02-26.
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89 - Topic : others AuthorOsama Mahmoud Morsy Ali
Hendawy OM & Mehrez E. El-Naggar & Mona El-Banna & Moustafa M. G. Fouda & Sarah I. Othman &
Ahmed . Allam5 & Osama M. Morsy, "Combating atherosclerosis with targeted Diosmin nanoparticles-treated experimental diabetes", 2020. Hendawy OM & Mehrez E. El-Naggar & Mona El-Banna & Moustafa M. G. Fouda & Sarah I. Othman &
Ahmed . Allam5 & Osama M. Morsy,vol.0, no.0, pp. - , 2020-02-11.
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90 - Topic : others AuthorOsama Mahmoud Morsy Ali
Ahmed S. Abdel-Razek , Mehrez E. El-Naggar , Ahmed Allam , Osama M. Morsy and Sarah I. Othman, "Microbial Natural Products in Drug Discovery", 2020. Ahmed S. Abdel-Razek , Mehrez E. El-Naggar , Ahmed Allam , Osama M. Morsy and Sarah I. Othman,vol.0, no.0, pp. - , 2020-04-16.
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91 - Topic : others AuthorOsama Mahmoud Morsy Ali
Mostafa F Abdelbar, Raef S Shams, Ossama M Morsy, Mayssa Adbel Hady, Kamel Shoueir, Rehab Abdelmonem, "Highly ordered functionalized mesoporous silicate nanoparticles reinforced poly (lactic acid) gatekeeper surface for infection treatment", 2020. Mostafa F Abdelbar, Raef S Shams, Ossama M Morsy, Mayssa Adbel Hady, Kamel Shoueir, Rehab Abdelmonem,vol.0, no.0, pp. - , 2020-04-21.
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92 - Topic : others AuthorOsama Mahmoud Morsy Ali
Atallah A Atallah
, Osama M Morsy
, and Dalia G Gemiel, "Characterization of functional low-fat yogurt enriched with whey protein concentrate, Ca-caseinate and spirulina", 2020. Atallah A Atallah
, Osama M Morsy
, and Dalia G Gemiel,vol.0, no.0, pp. - , 2020-10-01.
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Journal
93 - Topic : others AuthorOsama Mahmoud Morsy Ali
Hoda A.S. El-Garhy , Ahmed A. Elsisi, Shereen A. Mohamed, Osama M. Morsy, Gamal Osman,
Fayz A. Abdel-Rahman, "Transcriptomic changes in green bean pods against grey mould and white rot diseases via field application of chemical elicitor nanoparticles", 2020. Hoda A.S. El-Garhy , Ahmed A. Elsisi, Shereen A. Mohamed, Osama M. Morsy, Gamal Osman,
Fayz A. Abdel-Rahman,vol.0, no.0, pp. - , 2020-09-01.
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Journal
94 - Topic : others AuthorOsama Mahmoud Morsy Ali
Jihan Hussein, Mehrez E El-Naggar, Moustafa MG Fouda, Osama M Morsy, Jamaan S Ajarem, Ahmed M Almalki, Ahmed A Allam, Enas Mahmoud Mekawi, "The efficiency of blackberry loaded AgNPs, AuNPs and Ag@AuNPs mediated pectin in the treatment of cisplatin-induced cardiotoxicity in experimental rats", 2020. Jihan Hussein, Mehrez E El-Naggar, Moustafa MG Fouda, Osama M Morsy, Jamaan S Ajarem, Ahmed M Almalki, Ahmed A Allam, Enas Mahmoud Mekawi,vol.0, no.0, pp. - , 2020-05-20.
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Journal
95 - Topic : others AuthorOsama Mahmoud Morsy Ali
Mohamed S.Abdel-Aziz Mehrez E.El-Naggar , Rana A. Soliman , Osama M.Morsy, "Nanoemulsion of Capsicum fruit extract as an eco-friendly antimicrobial agent for production of medical bandages", 2020. Mohamed S.Abdel-Aziz Mehrez E.El-Naggar , Rana A. Soliman , Osama M.Morsy,vol.0, no.0, pp. - , 2020-01-01.
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Journal
96 - Topic : others AuthorOsama Mahmoud Morsy Ali
Moustafa MG Fouda, IMA Gohar, Amira EM Hanfy, Sarah I Othman, Amera F Zaitoun, Nader R Abdelsalam, Ahmed A Allam, Osama M Morsy, Mehrez E El-Naggar, "Utilization of High Throughput Microcrystalline Cellulose Decorated Silver Nanoparticles as an Eco-Nematicide on Root-knot Nematodes", 2020. Moustafa MG Fouda, IMA Gohar, Amira EM Hanfy, Sarah I Othman, Amera F Zaitoun, Nader R Abdelsalam, Ahmed A Allam, Osama M Morsy, Mehrez E El-Naggar,vol.0, no.0, pp. - , 2020-04-01.
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Journal
97 - Topic : others AuthorOsama Mahmoud Morsy Ali
Mehrez E. El-Naggar , Sarah I. Othman , Ahmed A. Allam , Osama M. Morsy, "Synthesis, drying process and medical application of polysaccharide-based aerogels", 2020. Mehrez E. El-Naggar , Sarah I. Othman , Ahmed A. Allam , Osama M. Morsy,vol.0, no.0, pp. - , 2020-01-01.
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Journal
98 - Topic : others AuthorRACHA MOHAMED ABDELMONEIM IBRAHIM
Sanaa Awad, Ashraf Saleh, Racha El Moslemany, "The Role of Liquidity in Enhancing Profitability: An Empirical Study on the Egyptian Banking Sector for the period 2008-2018", 2020. Sanaa Awad, Ashraf Saleh, Racha El Moslemany,vol.0, no.0, pp. - , 2020-12-16.
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99 - Topic : others Authorrasha mohamed mohamed abd elmegid
A rapid, simple and efficient method with minimal sample treatment was
developed for authentication of Garcinia cambogia fruit peel powder, along
with determining undeclared active pharmaceutical ingredients (APIs) in its
herbal slimming dietary supplemen, "Detection and quantification of active pharmaceutical ingredients as adulterants in Garcinia cambogia slimming preparations using NIR spectroscopy combined with chemometrics", 2020. A rapid, simple and efficient method with minimal sample treatment was
developed for authentication of Garcinia cambogia fruit peel powder, along
with determining undeclared active pharmaceutical ingredients (APIs) in its
herbal slimming dietary supplemen,vol.4, no.1, pp. 62 - 71, 2020-03-01.
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100 - Topic : others Authorrasha mohamed mohamed abd elmegid
Traditional edible natural products enclose a wealth of anticoagulants that can be prospected for new selective factor Xa
inhibitors. Unlike multitargeted anticoagulants, selective factor Xa inhibitors effectively block coagulation cascade with a
broader , "Anticoagulant activity screening of an in-house database of natural compounds for discovering novel selective factor Xa inhibitors; A combined In-silico and In-Vitro approach", 2020. Traditional edible natural products enclose a wealth of anticoagulants that can be prospected for new selective factor Xa
inhibitors. Unlike multitargeted anticoagulants, selective factor Xa inhibitors effectively block coagulation cascade with a
broader ,vol.29, no., pp. 707 - 726, 2020-02-20.
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