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| 1 | Pierre Robin Sequence显示文摘 | Noopur Gangopadhyay Derick Mendonca Albert Woo | 2012 | Seminars in Plastic Surgery2012，，02： | 1 |
| 2 | Thalidomide and lenalidomide: Mechanism-based potential drug combinations显示文摘 | Sonia Vallet Antonio Palumbo Noopur Raje Mario Boccadoro Kenneth C. Anderson | 2008 | Leukemia & Lymphoma2008，，7： | 1 |
| 3 | In vivo and in vitro effects of a novel anti-Dkk1 neutralizing antibody in multiple myeloma显示文摘 | Samantha Pozzi Mariateresa Fulciniti Hua Yan Sonia Vallet Homare Eda Kishan Patel Loredana Santo Diana Cirstea Teru Hideshima Linda Schirtzinge Stuart Kuhstoss Kenneth C. Anderson Nikhil Munshi David Scadden Henry M. Kronenberg Noopur Raje | 2013 | Bone2013，，2： | 1 |
| 4 | Could targeting bone delay cancer progression? Potential mechanisms of action of bisphosphonates显示文摘 | Rebecca Aft Jose-Ricardo Perez Noopur Raje Vera Hirsh Fred Saad | 2011 | Critical Reviews in Oncology / Hematology2011，，2： | 1 |
| 5 | Thalidomide and immunomodulatory derivatives augment natural killer cell cytotoxicity in multiple myeloma显示文摘 | Faith ED Noopur R Teru H | 2001 | Blood2001，98，1： | 1 |
| 6 | Cyclin dependent kinases in cancer显示文摘 | Miriam Canavese Loredana Santo Noopur Raje | 2012 | Cancer Biology & Therapy2012，，： | 1 |
| 7 | Tumour cell/dendritic cell fusions as a vaccination strategy for multiple myeloma显示文摘 | Noopur R Hideshima T Davies F | 2004 | British Journal of Haematology2004，125，3： | 1 |
| 8 | Burden of corneal blindness in India显示文摘 | Noopur Gupta Radhika Tandon Sanjeev Gupta V Sreenivas Praveen Vashist | 2013 | Indian Journal of Community Medicine2013，，4： | 1 |
| 9 | 如何评估诊疗知识与技能的差距——以多发性骨髓瘤为例显示文摘多发性骨髓瘤(MM)是由能够产生副蛋白的终末分化浆细胞所形成的恶性肿瘤。这种肿瘤占所有恶性肿瘤的1%~2%,其发病率正在逐年上升。研究显示,在白种人血液系统恶性肿瘤中占10%,非裔美国人血液系统恶性肿瘤中占20%。 | Noopur Raje Rafat Abonour Karen Overstreet 张英楠 杨英 | 2010 | 中国继续医学教育2010，2，A01： | 0 |
| 10 | Phishing website prediction using base and ensemble classifier techniques with cross-validation显示文摘Internet or public internetwork has become a vulnerable place nowadays as there are so many threats available for the novice or careless users because there exist many types of tools and techniques being used by notorious peo-ple on it to victimize people somehow and gain access to their precious and personal data resulting in sometimes smaller.However,these victims suffer considerable losses in many instances due to their entrapment in such traps as hacking,cracking,data diddling,Trojan attacks,web jacking,salami attacks,and phishing.Therefore,despite the web users and the software and application developer's continuous effort to make and keep the IT infrastructure safe and secure using many techniques,including encryption,digital signatures,digital certificates,etc.this paper focuses on the problem of phishing to detect and predict phishing websites URLs,primary machine learning classifiers and new ensemble-based techniques are used on 2 distinct datasets.Again on a merged dataset,this study is conducted in 3 phases.First,they include classification using base classifiers,Ensemble classifiers,and then ensemble classifiers are tested with and without cross-validation.Finally,their performance is analyzed,and the results are presented at last to help others use this study for their upcoming research. | Anjaneya Awasthi Noopur Goel | 2023 | Cybersecurity2023，6，1： | 0 |
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