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| 1 | Animal models of atherosclerosis显示文摘In this mini-review several commonly used animal models of atherosclerosis have been discussed.Among them,emphasis has been made on mice,rabbits,pigs and non-human primates.Although these animal models have played a significant role in our understanding of induction of atherosclerotic lesions,we still lack a reliable animal model for regression of the disease.Researchers have reported several genetically modified and transgenic animal models that replicate human atherosclerosis,however each of current animal models have some limitations.Among these animal models,the apolipoprotein(apo) E-knockout(KO)mice have been used extensively because they develop spontaneous atherosclerosis.Furthermore,atherosclerotic lesions developed in this model depending on experimental design may resemble humans' stable and unstable atherosclerotic lesions.This mouse model of hypercholesterolemia and atherosclerosis has been also used to investigate the impact of oxidative stress and inflammation on atherogenesis.Low density lipoprotein(LDL)-r-KO mice are a model of human familial hypercholesterolemia.However,unlike apo E-KO mice,the LDL-r-KO mice do not develop spontaneous atherosclerosis.Both apo E-KO and LDL-r-KO mice have been employed to generate other relevant mouse models of cardiovascular disease through breeding strategies.In addition to mice,rabbits have been used extensively particularly to understand the mechanisms of cholesterol-induced atherosclerosis.The present review paper details the characteristics of animal models that are used in atherosclerosis research. | Fatemeh Ramezani Kapourchali Gangadaran Surendiran Li Chen Elisabeth Uitz Babak Bahadori Mohammed H Moghadasian | 2014 | World Journal of Clinical Cases2014，2，5： | 14 |
| 2 | Novel applications of nanotechnology in medicine显示文摘 | Surendiran A Sandhiya S Pradhan SC | | 0，，06： | 1 |
| 3 | Animal models of atheroselerosis 显示文摘 | Kapourehali FR Surendiran G Cheu L | 2014 | World J Clin Cases2014，2，5： | 1 |
| 4 | Influence of the CYP2C9 and CYP2C19 polymorphisms on phenytoin hydi'oxylation in healthy individuals from south India 显示文摘 | Rosemary J Surendiran A Rajan S | 2006 | Indian J Med Res2006，12，3： | 1 |
| 5 | Influence of the CYP2C9 and CYP2C19 polymorphisms on phenytoin hydroxylation in healthy individuals from south India显示文摘 | Rosemary J Surendiran A Rajan S | 2006 | Indian J Med Res2006，123，： | 1 |
| 6 | Novel applications of nanotechnology in medicine 显示文摘 | Surendiran A Sandhiya S Pradhan S | 2009 | Indian J Med Res2009，130，6： | 1 |
| 7 | Adverse drug reaction profile of cisplatin - based chemotherapy regimen in a tertiary care hospital in India: an evaluative study显示文摘 | Surendiran A Balamurugan N Gunasedan K | 2010 | Indian J Pbarmacol2010，42，1： | 1 |
| 8 | Study on the custo-mer targeting using association rule mining显示文摘 | Surendiran R Rajan K P Sathish K M | 2010 | Int J Comp SciEngineer2010，2，7： | 1 |
| 9 | 显示文摘 | PERIYASAMI G RAGHUNATHAN R SURENDIRAN G | 2008 | Bioorg Med Chem Lett2008，18，： | 1 |
| 10 | Influence of the CYP2C9 & CYP2C19 polymorphisms on phenytoin hydroxylation in healthy individuals from south India显示文摘 | Rosemary J Surendiran A Rajan S | 2006 | lndian J Med Res2006，123，5： | 1 |
| 11 | Leveraging Readability and Sentiment in Spam Review Filtering Using Transformer Models显示文摘Online reviews significantly influence decision-making in many aspects of society.The integrity of internet evaluations is crucial for both consumers and vendors.This concern necessitates the development of effective fake review detection techniques.The goal of this study is to identify fraudulent text reviews.A comparison is made on shill reviews vs.genuine reviews over sentiment and readability features using semi-supervised language processing methods with a labeled and balanced Deceptive Opinion dataset.We analyze textual features accessible in internet reviews by merging sentiment mining approaches with readability.Overall,the research improves fake review screening by using various transformer models such as Bidirectional Encoder Representation from Transformers(BERT),Robustly Optimized BERT(Roberta),XLNET(Transformer-XL)and XLM-Roberta(Cross-lingual Language model–Roberta).This proposed research extracts and classifies features from product reviews to increase the effectiveness of review filtering.As evidenced by the investigation,the application of transformer models improves the performance of spam review filtering when related to existing machine learning and deep learning models. | Sujithra Kanmani Surendiran Balasubramanian | 2023 | Computer Systems Science & Engineering2023，45，5： | 0 |
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