A study on investment behavior of software engineers in Hyderabad
Financial literacy is demarcated as the capability to ensure acquaintance and knowledge about financial markets and financial products. The financial literacy term sounds alien to many people and many find it beyond their comprehension. Lack of financial literacy puts pressure on the country in terms of the rising cost of financial security and lesser development of the nation. It also makes the life of an individual very difficult and complex. The present study explores software engineers' investment attitude towards financial literacy.
Published by: Dr. B. Srinivas
Author: Dr. B. Srinivas
Paper ID: V7I5-1267
Paper Status: published
Published: September 29, 2021
Analysis of paperboat’s marketing strategy
Paper Boat is a brand of traditional Indian beverages and foods produced and marketed by Hector Beverages. They wanted to be able to go back in time and bring back flavors of the summer holidays. From that idea, they introduced seasonal drinks and kept the older generations alive. These drinks were favored through the ages and told a story of their own. By filling the main gap and bringing back traditional drinks, the product was layered with memories and emotional insights. While many believe the product is the hero, and PaperBoat’s product range definitely fulfills that, the company is entirely focused on the customers. The customer-centricity and the motto to touch the lives of people was what led it to be successful.
Published by: Sindhuja Muppaneni
Author: Sindhuja Muppaneni
Paper ID: V7I5-1284
Paper Status: published
Published: September 28, 2021
Organizational Management that fosters innovation – Apple and Tesla
In today’s world where change has become a constant, it has become extremely crucial for businesses to stay up to date and relevant in society through innovation. The kinds of rules, procedures, and teamwork introduced to the employees can not only channel their thinking process but the entire operations in a certain company. As this would all lead to and foster innovation, this research will compare the organizational management of Apple and Tesla, two companies that have set themselves apart in terms of innovation.
Published by: Sindhuja Muppaneni
Author: Sindhuja Muppaneni
Paper ID: V7I5-1283
Paper Status: published
Published: September 28, 2021
A study to assess the effectiveness of a structured teaching program on knowledge regarding breast crawl among staff nurses working in the labor room in the selected hospital.
Mother Nature equips newborns with a wonderful innate sense of cues. Breast Crawl, demonstrates process of initiating breastfeeding exclusively by baby’s own ability. WHO and UNICEF recommend early initiation of breastfeeding for lower neonatal mortality. Evidences show that early initiation of breastfeeding can prevent 22% of all deaths among babies below one month in developing countries. About 16% of neonatal deaths could be prevented is all infants were breastfed from day 1 & 22% if breastfed within 1st hour after birth. Nurses as health professionals if work in coordination as team to bring forth & promote Breast crawl initiative into maternity hospital; it will be beneficial for Mother and Baby. Methodology: The research methodology adopted for the study was Pre experimental research approach. Consisting of one group pretest-posttest design. A structured teaching programme on Breast Crawl was administered to staff nurses & their level of knowledge was assessed. Semi-structured questionnaire were prepared for assessing the Pre & Post knowledge. Validity was established by the experts. Pilot study was conducted to check the feasibility of the study. The reliability of tool was done by test retest method and Pearson correlation formula. The reliability score was 0.86 which shows that the tool is reliable. Data collection was done on 100 samples by Non- Probability Convenient method. Pretest was taken; structured teaching programme was administered & on the 7th day Posttest was conducted. The collected data was tabulated in the master sheet and analyzed using descriptive and inferential statistics. Paired t-test to compare pretest and posttest knowledge scores of staff nurses regarding breast crawl was used. T-value was 31.8. Since p-value is very small (less than 0.05), the null hypothesis is rejected. Average knowledge score in pretest was 6.4, post test was 17.3. The association between knowledge and demographic variables was assessed using Chi square test. Since all the p- values are larger, (> 0.05), there was no evidence against null hypothesis. None of the demographic variables were found to have significant association with knowledge score. Indicating that structured teaching programme on assessing knowledge regarding breast crawl is effective.
Published by: Kalyani V. Makasare
Author: Kalyani V. Makasare
Paper ID: V7I5-1276
Paper Status: published
Published: September 27, 2021
Optimal EEG Channels for emotion detection in humans
A brain-computer interface (BCI) is a system that allows communication between a subject's brain and a computer, without requiring any physical movement. The high-level process for any BCI system is signal acquisition, signal processing and providing output through a physical device. Signal acquisition is done by sensors with multiple channels using invasive or non-invasive methods. The collected data usually contains more than 256 unique channels across the standard 32 sensors. In addition to this, the data is often sampled at a rate of 256Hz for long periods of time, resulting in massive datasets. The critical next step is to preprocess these signals to understand the patterns and changes in the various types of brain waves. However, the intrinsic neurophysiological changes in the brain pose a challenge to the processing of these signals. Identifying the key sensor channels becomes vital not only for the above reason but also due to the large size of the data points captured. This paper is a study on identification of optimal channels for the detection of an emotion such as Fear, one of the primary emotions frequently observed during multiple studies. By detecting channels with highly prevalent features, this study aims to reduce the size of data. The data so optimized can be output to speed up complex classification/prediction algorithms.
Published by: Samarth Kulkarni
Author: Samarth Kulkarni
Paper ID: V7I5-1265
Paper Status: published
Published: September 27, 2021
Pharmacogenomics in Cancer
The science of one’s genetic background and its impact on disease susceptibility and drug response has well established its place in clinics. As many drugs that are currently available in the market are “one size fits all,” but they don’t respond the same way for everyone. These inter-individual differences of drug response can be due to different age, drug-drug interaction, gender, inherited variations in drug disposition or through gene and drug target gene. The impact of Genetic study is mostly observed in the current arena of clinical oncology compared to any other chronic diseases due to several reasons: Toxicity, Critical time & narrow therapeutic index. “Pharmacogenomics” is the whole genome application of Pharmacogenetics, where genomic information is used to study the single gene interactions with drugs by studying the patient’s genetic profile. Their biomarkers hold great promise for the individualization in cancer therapy by selecting the most appropriate medication thereby, applying the optimal dose for each individual patient according to precise markers assisted in screening tests by reducing the toxicity of chemotherapy. Two major aspects considered by researchers while studying the response of a drug in an individual are: how much of a drug is needed to reach its target in the body, and how well the target cells or genes respond to the drug. Overall, the current review summarizes the role of Pharmacogenomics in cancers mainly focusing on Colorectal, Osteosarcoma & Breast Cancer and the advances made in their treatment.
Published by: Melissa Dcunha, Anjali Varma, Vatsal Nisar, Sruthi Menon
Author: Melissa Dcunha
Paper ID: V7I5-1262
Paper Status: published
Published: September 27, 2021
