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Review Paper

Religious influences on holistic/analytical thinking and rates of mental illness

Differences in thinking styles, particularly holistic versus analytical between Eastern and Western cultures, might be the reason behind different rates of mental illness between the two. In my paper, I explore the potential determinants of these divergent thinking styles, specifically focusing on religion. Through literature review, I make the case that Buddhist and Christian beliefs are associated with holistic and analytical thinking styles, respectively, and ultimately lead to varying rates of mental illness between the two cultures.

Published by: Preyashi Poddar

Author: Preyashi Poddar

Paper ID: V7I6-1217

Paper Status: published

Published: December 8, 2021

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Research Paper

Reliability and validation of the tools used for sitting balance in neurological conditions

A balance disorder is a condition that makes you feel unsteady on your feet and dizzy. Dizziness is a general term for different symptoms of imbalance. Balance tests are a group of tests that check for balance disorders. Trunk control in NMD is impaired by progressive muscle weakness which is exacerbated by resulting inactivity. Given that the TCT has a good correlation with Balance is a complex motor skill that depends on interactions between multiple sensorimotor processes and environmental and functional contexts. This is a methodological research design this study is a correlation study design, which intends correlate the sitting balance and walking within the sample. All the subject performed trunk control test and follow the sitting balance scale and the results were observed for correlation with pre-specified functional activities performed by the subjects.Trunk control in NMD is impaired by progressive muscle weakness which is exacerbated by resulting inactivity. The most important finding of our study, in which we draw attention to the assessment of trunk control in NMD, is the fact that the TCT is a reliable and valid test which can yield results related to a patient’s functional level and guide clinicians during the clinical intervention period. The tools which we have used for the study is now validated and reliable.

Published by: Rakesh Kumar Singh, Dr. Ajeet Kumar Saharan, Swati Sharma, Anuja Choudhary, Manoj Jadiya

Author: Rakesh Kumar Singh

Paper ID: V7I6-1224

Paper Status: published

Published: December 2, 2021

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Review Paper

A Critical Review and Analysis of a wearable sensor-based activity prediction system to facilitate edge computing in the smart healthcare system

With the increase in IoT’s influence in healthcare systems, handling big data is a very tedious way and still a big challenge to handle big data obtained through the cloud IoT systems. That is why this paper has put forward Edge-of-Things(EoT)computing. The proposed system focuses on processing sensor data and activity prediction on devices such as laptops, GPU in a smart home. The proposed system put forward will be meticulously analyzed bringing out its advantages and disadvantages in the same domain and will be put out.

Published by: Shakthi T.

Author: Shakthi T.

Paper ID: V7I6-1220

Paper Status: published

Published: November 29, 2021

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Research Paper

Women entrepreneurs in Kerala and their investment behavior

Quantum of investment has become one of the most significant determinants of the rising of the economy. The economic independence combined with the support they get from the members of their families has increased the significance of women's entrepreneurship. Economic development becomes meaningful when women enter mainstreams. The present study is confined to various aspects of investment and investment avenues, factors influencing the investment behavior of the women entrepreneurs, support from family, motivating factors, and problems faced by them while investing their money. The majority of the respondents were married and they opt for the goodwill of the company, easy withdrawals, and risk-free investments as their motivating factors for investment. There is no significant relationship between the marital status of women entrepreneurs and motivational factors for investment. Therefore, we conclude that majority of the respondents have their family member’s support.

Published by: Grace Antony, George Sebastian

Author: Grace Antony

Paper ID: V7I6-1218

Paper Status: published

Published: November 29, 2021

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Research Paper

Correlation between sitting balance and functional independency with quality of life in neurological conditions

The maintenance of the postural balance is due to a set of reflexes that trigger responses based on visual, vestibular or somatosensory stimuli. the object is to find the correlation between the functional level and the quality of life in neurological problem patients. This study is a correlation study design, which intends correlate the sitting balance and functional performance (in activities of daily living like dressing. Transfers and forward wheeling) within the sample. The entire subject performed the modified functional reach test and the results were observed for correlation with pre-specified functional activities performed by the subjects. In my study I found that the quality of life is much more affected in the patients have sitting balance, this is may be the population of the different country. So we can say that all four domains are significantly different. All four have impact on patients. First domain has more impact on patients.

Published by: Rakesh Kumar Singh, Ajeet Kumar Saharan, Maliram Sharma, Preety Sharma

Author: Rakesh Kumar Singh

Paper ID: V7I6-1211

Paper Status: published

Published: November 29, 2021

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Research Paper

Handwritten Digit Classification using CNN

Since people's writing styles vary in form and orientation, handwritten digit identification is a difficult job. Two steps are essential for the production of effective handwritten digit recognition. The extraction of discriminating features from handwritten images is the first step, and the classification of new digit images is the second. Convolutional Neural Networks (CNN) are at the heart of spectacular developments in deep learning that combine Artificial Neural Networks (ANN) and cutting-edge deep learning techniques. Pattern recognition, sentence classification, speech recognition, face recognition, text categorization, document interpretation, scene recognition, and handwritten digit recognition are only a few of the applications. Our project's aim is to improve detection accuracy by expanding the model depth. This is accomplished by increasing the number of layers and the number of filters. The Modified National Institute of Standards and Technology (MNIST) datasets were used for this performance assessment using CNN.

Published by: V. Serisha, Beeraka Sridevi, Shriya Singh, Dr. B. Karthik

Author: V. Serisha

Paper ID: V7I6-1212

Paper Status: published

Published: November 23, 2021

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