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Research Paper

Identification of novel compounds to treat Alzheimer’s disease

Alzheimer’s disease or Alzheimer’s is a brain disorder characterized by progressive loss of neural functions and dementia in elderly people. It has perilous effects on memory and other cognitive activities. Apolipoprotein (APOE) is responsible for delivering cholesterol-rich lipoproteins to the bloodstream. The maintenance of optimum levels of cholesterol is absolutely necessary as an imbalance might lead to cardiovascular and neurological diseases. Out of the four alleles for the APOE gene, the main causative agent for the onset of Alzheimer’s is the e4 allele. APOE e4 allele leads to the production of amyloid plaques which further cause the accumulation of amyloid β peptide. The excess build-up of such toxic products leads to neuronal death giving rise to early symptoms of the disease. Our research mainly focuses on the identification of potential inhibitors against Sortilin (SORT1), an APOE receptor associated with Alzheimer’s. We have employed scientific software to identify the specific conformations of ligands that show the maximum interaction with the target compound and further analyzed these results by generating descriptors computationally for QSAR studies. The optimum model was generated with r2 = 0.794, s= 0.108. We have been able to select two ligands which can be used as potential drugs to treat Alzheimer’s.

Published by: Kusumitha Shrinivasan, Swarnali Sarkar, Anand Prem Rajan

Author: Kusumitha Shrinivasan

Paper ID: V5I2-1654

Paper Status: published

Published: March 30, 2019

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Technical Notes

Mathematics in financial market

It is about the use of mathematics and its theories in Financial Market.

Published by: Yash Drolia

Author: Yash Drolia

Paper ID: V5I2-1438

Paper Status: published

Published: March 30, 2019

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Research Paper

Aerodynamic optimization of passenger vehicle

The growth in computational fluid dynamics has brought about a rapid increase in the study of vehicle aerodynamics aiding to meet the stringent fuel economy and pollution laws. Though there has been a lot of research in the segment of sedans and sports vehicles, there has been considerably less amount of research on the hatchback segment of vehicles. This paper aims at a study in the computational fluid dynamic simulations of a widely used passenger hatchback vehicle and a proposed model to obtain the reduced coefficient of drag value for the proposed model based on the initial widely used model and to understand the effect of the shape of a vehicle on the drag value of the vehicle. The widely used hatchback passenger vehicle (initial model) is designed based on a body, similar to that of a typical hatchback model widely sold in the Indian market. The drawbacks of the initial model are obtained via the CFD simulations and the proposed model is designed to overcome those drawbacks and offer minimal resistance to air thereby reducing the Coefficient of Drag value.

Published by: Hussain Ezzy, Mohammed Zain M., Dr. N. Prakash

Author: Hussain Ezzy

Paper ID: V5I2-1649

Paper Status: published

Published: March 30, 2019

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Research Paper

Replacement of fine aggregate by using glass material in concrete

Glass powder (GP) used in concrete making leads to a greener environment. In shops, damaged glass sheets & sheet glass cuttings are going to waste, which is not recycled at present and usually delivered to landfills for disposal. Using GP in concrete is an interesting possibility for the economy on waste disposal sites and conservation of the environment. This project examines the possibility of using GP as the fine aggregate replacement in concrete. Natural sand was partially replaced (0%-20%) with GP in concrete. Compressive strength (cubes and cylinders) up to 28 days of age were compared with those of high-performance concrete made with natural sand.

Published by: Ratilal Narayan Patil, Dr. S. L. Patil, Chetan Pandurang Patil, Suvarna Namdev Patil, Pratima Tedgya Valvi, Puja Vishwas Gade

Author: Ratilal Narayan Patil

Paper ID: V5I2-1626

Paper Status: published

Published: March 30, 2019

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Others

P2DB-chat

The project titled peer-to-peer distributed blockchain database messaging presents the development of an instant messaging application based on the concept of peer-to-peer using Inter Planetary File System (IPFS) and Blockchain. The P2P architecture is a decentralized architecture, where neither client nor server status exists in a network. Every client act as a server. This report describes one possible way to implement a chat system using a Peer-To-Peer model instead of a client/server model without the need to sign up for the specified service to be able to use it.

Published by: Kesavan S., Charles R., Raja Prithya P., Rajavel V., B. Kiruba

Author: Kesavan S.

Paper ID: V5I2-1615

Paper Status: published

Published: March 29, 2019

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Review Paper

Construction of predictive modelling for cardiac patient using probabilistic neural network

Coronary Artery Disease (CAD) is a major disorder in heart rhythm invoices the reduction or blockage of blood flow due to the narrow artery which results in coronary artery disease Our project is to investigate and detect the occurrence of coronary artery disease (cardiac block) using a probabilistic neural network. We would apply the probabilistic neural network to CT Images and, Feature extraction by using the Gray Level Co-Occurrence Matrix (GLCM). Image recognition and image compression are done by using the Gaussian bilateral filter method and also large dimensionality of the data is reduced. Automatic cardiac block classification is done by using a Probabilistic Neural Network (PNN). The segmentation process is done by using the K-means clustering algorithm and also detects the cardiac block spread region. PNN is the fastest technique and also provide good classification accuracy.

Published by: Nivetha P., Keerthi S., Kamalesh S.

Author: Nivetha P.

Paper ID: V5I2-1578

Paper Status: published

Published: March 29, 2019

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