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Research Paper

Fetal birth weight estimation in high-risk pregnancies through Machine Learning Techniques

Low birth weight of the fetus is considered one of the most critical problems in pregnancy care, which will affect the health of the newborn and in more severe cases will lead to its death. This situation is the reason for the high infant mortality rate throughout the world. In terms of health, artificial intelligence technologies, especially those based on machine learning (ML), can early predict problems related to the health of the fetus throughout pregnancy (even at birth). Therefore, the project proposes an analysis of several ML techniques that can predict whether the fetus will lose weight at birth in its gestational age. The importance of early diagnosis of problems related to fetal development depends on the possibility of increasing the number of days of pregnancy through timely intervention. This intervention will help to improve the weight of the fetus at birth, thus reducing neonatal morbidity and mortality.

Published by: Meghana S., Y. Sree Rushitha, Susan Syeda, Priyanka M., Dr. Shantakumar B. Patil

Author: Meghana S.

Paper ID: V7I4-1342

Paper Status: published

Published: July 15, 2021

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Research Paper

A study on effect of emotional attitude on emotional purchase intention

The study emphasis on emotional attitude and emotional purchase intention, where the study focused on six major items under Emotional Attitude and Emotional purchase Intention. The main purpose of the study is to find the direct effect of Emotional Attitude on Emotional Purchase Intention. It also emphasizes how these impacts the customer’s attitude regarding age, gender, and qualification. This study is applicable in terms of objective and various hypotheses are implemented. To collect the data self-administered questionnaire was designed and the data is collected from the region of Hyderabad, Using a convenient sample of 97 respondents. The data is analyzed with assorted methods like frequency calculation and the Chi-squared test. It was found that gender, age, and education qualification had a very significant role to play. Amos was used to finding the direct effect of Emotional Attitude on Emotional Purchase Intention.

Published by: Namratha, P. Purushotham Rao, Dr. A. Patrick

Author: Namratha

Paper ID: V7I4-1352

Paper Status: published

Published: July 14, 2021

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Research Paper

Prediction of chronic kidney disease and diet recommendation

Chronic renal disorder is that the sort of disease within which there's a decrease in kidney function over a period of months or years. Early prediction of CKD is one in all the main problem in medical fields. So automated. tools which use. machine learning techniques determine the patient’s kidney condition which will be helpful to the doctors in prediction of disease.. Our system retrieves the features which are significantly affects the human with CKD, and so the ML technique which automates the classification of the disease into different stages. Our main goal is to predict the disease stage and suggest suitable diet for CKD patients using classification algorithms on medical test records. Diet recommendations for patients are going to be given per the potassium zone which is calculated using blood potassium level to weigh down the progression of CKD.

Published by: Annapoorna B. A., Nisarga Y. N., Rachana R. Shastry, Sreelatha P. K.

Author: Annapoorna B. A.

Paper ID: V7I4-1351

Paper Status: published

Published: July 14, 2021

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Research Paper

Stock Sentiment Analysis using News Headlines

Efficient Market Hypothesis is the popular theory about stock prediction. With its failure much research has been carried in the area of prediction of stocks. This project is about taking non quantifiable data such as financial news articles about a company and predicting its future stock trend with news sentiment classification. Assuming that news articles have impact on stock market, this is an attempt to study relation between news and stock trend. To show this, we created three different classification models which depict polarity of news articles being positive or negative.

Published by: Tavva Sai Prathyusha, Thummapala Mounika, Vemaraju Siri chandana, Vysyaraju priyanka, Seepana Priyanka

Author: Tavva Sai Prathyusha

Paper ID: V7I4-1349

Paper Status: published

Published: July 14, 2021

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Research Paper

Antimicrobial textiles based on nanosilver

In recent years, Antimicrobial textiles have been an area of great research due to many of their desired properties like reducing infection transmission in the medical environment, enhanced performance, and improving odor control. Their basic feature is to protect the fabric from rotting caused by microbes. Antimicrobial textiles fulfill functions such as preventing cross-infection, arresting microbial metabolism, and protecting the textile from staining, discoloration, and quality deterioration.

Published by: Meenal Singh

Author: Meenal Singh

Paper ID: V7I4-1328

Paper Status: published

Published: July 14, 2021

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Review Paper

Glycerol – An alternate energy source for livestock feeding

Glycerol, is being an attractive feed ingredient for cattle, is a by-product of a wide range of industrial applications. Glycerol has potential value in livestock feeding since it improves feed efficiency, metabolism, and can avoid ketosis. Research indicates that glycerol can be a suitable partial grain replacement in the diet of cows during the transition period and at early lactation. The impact on milk yield is not significant, but glycerol mostly decreases milk fat content. The inclusion of glycerol in the dairy ration has an effect on ruminal fermentation patterns. Glycerol is rapidly fermented in the rumen into propionate, and it is metabolized to glucose in the liver through the process of glycogenolysis, additionally, glycerol administration to ruminants can reduce greenhouse gas emissions. The purpose of this review is to highlight the potential benefits and drawbacks related to the use of glycerol in cattle. Glycerol, from biodiesel Industries, must be purified in order to make it a useful product for livestock feeding. The use of glycerol in ruminant nutrition can be justified for several reasons: (i) as a source of energy, (ii) as a glycogenic precursor, and (iii) it may have an effect on milk composition. The high energy value of glycerol provides the opportunity to use it as a partial substitute for grain in dairy rations. Supplementation of glycerol in dairy animals' diets is associated with increased propionate, butyrate, valerate, and isovalerate concentrations in the rumen. Glycerol can be used as 10%–15% of the dietary dry matter (DM) and is a well-established tool for treatment for ketosis in cows. Glycerol increases plasma glucose and may reduce non-esterified fatty acids and hydroxybutyrate levels. The dietary supplementation of glycerol does not have a direct effect on DM intake, milk yield, or milk composition. However, some researchers reported an increase in milk yield after glycerol supplementation associated with decreased milk fat concentration. It is also possible that the concentration in the milk of odd-chain fatty acids and cis-9, trans-11 conjugated linoleic acid may increase after glycerol application.

Published by: Mukesh Sharma, Dr. Manoj Gendley, Dr. Kranti Sharma

Author: Mukesh Sharma

Paper ID: V7I4-1356

Paper Status: published

Published: July 14, 2021

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