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Review Paper

Bioavailability enhancers: An overview

Oral absorption of the drug is a very important issue especially when the drug is poorly bioavailable, given for long periods and expensive. Poorly bioavailable drugs remain sub-therapeutic because a major portion of a dose never reaches the plasma or exerts its pharmacological effect unless and until very large doses are given which may also lead to serious side effects. Any significant improvement in bioavailability will result in lowering the dose or the dose frequency of that particular drug. Bioenhancers are chemical entities which promote and augment the bioavailability of the drugs which are mixed with them and do not exhibit a synergistic effect with the drug. The various bio enhancers available are piperine, garlic, Carum carvi, Cuminum cyminum, lysergol, naringin, quercetin, aziridine, glycyrrhizin, stevia, cow urine distillate ginger.

Published by: Tulasi Iswariya, Shivani Gupta

Author: Tulasi Iswariya

Paper ID: V5I2-1549

Paper Status: published

Published: March 29, 2019

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Others

Deep learning architectures for crime occurrence detection and prediction

Due to the escalation in the rate of crimes, there is a requirement of the system that will detect and predict crimes at the dynamic time. The objective of this survey is to learn Data Mining techniques that will go on to help in detecting and predicting crimes using association rule mining, decision trees & naive Bayes, k-means clustering and Machine learning techniques such as deep neural network and artificial neural network. Noticeable findings from this survey were that when the dataset instances have a large number of missing values pre-processing becomes an important task and crime does not occur uniformly across urban landscapes but concentrates in specific areas. Hence, predicting crime hotspots is a very crucial task and also applying post-processing will help in decreasing the rate of crimes.

Published by: Arnav Singh Bhardwaj, Divakar K M, Ashini K A, Devishree D S, Sheikh Mohammad Younis

Author: Arnav Singh Bhardwaj

Paper ID: V5I2-1605

Paper Status: published

Published: March 29, 2019

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Research Paper

Student feedback prediction using machine learning

Advances in natural language processing (NLP) and educational technology, as well as the availability of unprecedented amounts of educationally-relevant text and speech data, have led to an increasing interest in using NLP to address the needs of teachers and students. Educational applications differ in many ways, however, from the types of applications for which NLP systems are typically developed. This paper will organize and give an overview of research in this area, focusing on opportunities as well as challenges. In the proposed methodology, we are collecting student feedback about classroom, exam and lab facilities. After that, we are predicting the dataset using natural language processing. In NLP, we will use 2 approaches: NLTK toolkit and the random forest algorithm approach. After predicting the data, we will be analyzing the positive, negative and neutral nature of the data. This will help in effectively improving the performance of the institution and to create plans to enhance institutions’ teaching and learning experience. Student’s feedback improves communication between the lecturer and the students, allowing the lecturer to have an overall summary of the student’s opinion.

Published by: Nilesh Singh Sengar, Kartik Chourey, Shraddha Bajaj, S. Abinayaa

Author: Nilesh Singh Sengar

Paper ID: V5I2-1567

Paper Status: published

Published: March 29, 2019

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Others

Role of community in enhancing the learning level of Government school Children: My experience in Mayurbhanj district, Odisha

A report: How the relationship between community and school played a big role in enhancing the learning level of children in Government schools of Mayurbhanj in the state of Odisha, India. The current scenario depicts the non-association of schools with communities. In order to build a strong relationship between schools and communities for an overall development of Children aged between 6 to 9 years, CARE India during its intervention in Mayurbhanj district initiated some actions to bridge the gap between school and community. The results mentioned in this paper are quite visible in the community library study report prepared by CARE India.

Published by: Lokesh Prasad Dash

Author: Lokesh Prasad Dash

Paper ID: V5I2-1607

Paper Status: published

Published: March 29, 2019

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Research Paper

Impact of celebrity brand endorsements on buying behaviour towards luxury brands

Celebrity Endorsements are an important aspect of marketing that helps the brands to gain attention and improve their brand image. There are many aspects of celebrities that appeal to consumers, such as trustworthiness, credibility, attractiveness, expertise and product-celebrity match. Endorsements don’t only add to the brand image of the company, but it also increases the image of the celebrity endorser. Luxury brands require endorsements in order to improve consumer perception through the endorser’s personality. This paper helps to see the impact of celebrity brand endorsements on buying behavior towards the luxury brands and affirms the attributes that appeal to the consumers.

Published by: Rini Anand

Author: Rini Anand

Paper ID: V5I2-1467

Paper Status: published

Published: March 29, 2019

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Research Paper

Purification and properties of three novel monocot lectins from the family Zingiberaceae

Three new monocot lectins from the members of Zingiberaceae, namely, Alpinia galanga L. (AGTL), Curcuma amada Roxb. (CARL) and Elettaria cardamomum M. (ECSL) have been purified by sepharose and agarose affinity chromatography. These lectins possess similar physicochemical and biological properties. In SDS-PAGE, all the lectins gave a single band corresponding to a subunit of 16 and 17kDa and yielded single band peak on PAGE (pH 4.5). The lectins agglutinate rabbit and sheep red blood cells (RBCs) but are inactive towards chicken and human ABO erythrocytes. The haemagglutination activity of these lectins is inhibited by mannose and their derivatives while other simple sugars D-galactose, D-maltose, D-fructose, sucrose, lactose, D- sorbitol, D-mannitol did not react. The lectins activity were enhanced at acidic but stable at physiological pH range of 6- 8. Lectins were stable at 50°- 60° C but able to agglutinate for a short period when it increases.

Published by: P. Sathyapriya, S. Arvinth

Author: P. Sathyapriya

Paper ID: V5I2-1554

Paper Status: published

Published: March 29, 2019

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