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Research Paper

Knowledge, attitude, and practices regarding contraception among reproductive-age females of Mashobra, Himachal Pradesh

Objective To assess the knowledge, attitude, and practice of contraception among reproductive-age females of Mashobra Block. Materials and Methods A cross-sectional study was conducted during the month of December 2021 to evaluate the knowledge, attitude, and practice of contraception among 230 reproductive-age females visiting the outpatient department in Community Health Center Mashobra, Shimla. Descriptive statistics were used for data analysis. Results The study showed that 94.7% of the reproductive age females had heard about contraceptives, and 83.5% knew about the source of availability of contraceptives. 58% of females had gained information about family planning and contraception from health personnel, 27% from friends, 13% from media, and 1.7% from newspapers. 90males knew about male condoms, but only 50% had knowledge about contraceptive pills. Among the permanent methods, female sterilization was more widely known (56%) than male sterilization (28%). 78% of females thought that contraceptive use was beneficial, but 22% thought otherwise. Only 69% of females were presently using contraception or willing to use some contraceptive method in the future. The most common methods of contraception used by females of reproductive age were condoms (40%) by the male partner. Around 14% of females had undergone sterilization. Conclusion The study highlights the need for continuing education about sexuality and contraception. Health personnel, especially ASHA workers, have played a pivotal role in spreading awareness and can thus be used for motivating eligible couples to adopt family planning methods and use of contraception.

Published by: Dr. Sonali Singh, Dr. Shalini Sharma, Dr Ambuj Shandil, Dr. Aabha Sharma

Author: Dr. Sonali Singh

Paper ID: V7I6-1425

Paper Status: published

Published: January 3, 2022

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Research Paper

Influence of water hardness on the use of hair care products in the sensory evaluation and physical properties of hair

In this study, the effects of water hardness on the use of hair care products are analyzed on the basis of sensory assessments and physical characteristics of hair. The study is divided into sections into sensory attributes and physical properties to assist with a scientific analysis of the influence of water hardness on the use of hair care products. Sensory evaluation is conducted by a trained shampoo panel with 8-10 members. In order to carry out an objective assessment of sensory properties, physical measurement techniques are used that focus on quantifying the combing force of the hair. Three shampoo technologies (standard shampoo, polymer care technology, silicone technology) are applied on damaged hair and undamaged hair. This study shows that water hardness has a significant influence on the use of these three shampoo technologies. Water hardness has a significant effect on eight attributes of the shampoo panel: Perceived hair quantity, aqueous foam, rinsing time in seconds, ease of disentangling, combability, residual product, hair - dullness, lackluster, hair - softness. Silicone technology shows the best performance regarding water hardness.

Published by: Stephanie Wagner

Author: Stephanie Wagner

Paper ID: V7I6-1423

Paper Status: published

Published: January 3, 2022

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Review Paper

Detecting and preventing cyberbullying comments on social media using Deep Learning

Increasing social media sites attract the attention of all people. We can utilize its benefits effectively for good things. But few people don’t use these sites in the right way. Hating comments, spreading rumors, blackmailing using social sites have been increased. Much research is involved in solving these problems by employing machine learning and deep learning algorithms. The most existing solution is detecting cyberbullying, but facing difficulties in analyzing the short texts. Blocking the user who cyberbullying is also not possible. This paper proposes a detailed review of the machine and deep learning approach for detecting, preventing cyberbullying, and blocking malicious users using Natural Language Processing technique (NLP) and deep learning algorithm named as Backpropagation neural network algorithm.

Published by: M. S. Jothi, Dr. J. Jospin Jeya

Author: M. S. Jothi

Paper ID: V7I6-1422

Paper Status: published

Published: January 3, 2022

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Research Paper

Correlational tendencies between Goods and Services Tax and financial markets in India

This paper is aimed at finding a correlation, if any, between Goods and Services Tax (GST) collection announcements and financial markets, specifically, the National Stock Exchange in India. The authors hypothesize that news of GST collection data affects investor confidence and thus the stock market. The result is evident from the correlation between the index of companies with the highest MCap and GST, especially in the financial year 2021.

Published by: Rahul Bhargava, Akshat Adlakha

Author: Rahul Bhargava

Paper ID: V8I1-1142

Paper Status: published

Published: January 3, 2022

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Research Paper

Blockchain NFTs

Here we are going to discuss Blockchain non-fungible tokens, which is a unique and non-interchangeable unit of data stored on a blockchain, a form of digital ledger. In today’s world NFTs are giving more power to content creators than ever before. The phenomenal rise of cryptocurrency has opened up an era of possibilities. And NFTs, or non-fungible tokens, are riding on the age of this new technology. From art to music and pixelated images to toilet paper, these digital assets are selling like the proverbial hotcakes, some of them for millions of dollars. Thereby, we demonstrate the usefulness of NFTs to tokenize digital goods, prevent fraud and improve control over secondary market transactions.

Published by: Prathamesh Ashok Vetkar, Chetna Achar

Author: Prathamesh Ashok Vetkar

Paper ID: V7I6-1426

Paper Status: published

Published: January 3, 2022

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Research Paper

Design Development and Testing of an Automatic Desktop Injection Molding Machine

The paper is focused on the design and manufacturing of a low-cost desktop Injection Molding machine. The design of mechanical elements of the injection Molding machines is discussed. The volume of the barrel with and without injection screw is also discussed. The heating system i.e. Heaters and thermocouples coupled with PID controller is also discussed. The flow rate of ABS, PLA, and PVC plastic materials has been found at a constant temperature and different temperatures for constant flow and with different RPM of the screw are also discussed.

Published by: N. V. Anjali, J. Kiran Kumar, S. Hemalatha

Author: N. V. Anjali

Paper ID: V7I6-1417

Paper Status: published

Published: December 31, 2021

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