Manuscripts

Recent Papers

Research Paper

Promoting merchandise activity in rural India: An analysis

Merchandise activity has expanded the horizon and dimension of business universally. In India, villages are considered to be the spine and strength of our economy which contribute 25-30% of GDP. Unfortunately, due to lack of connectivity to town, deficient network, poor telecommunication, undeveloped transportation and inefficient planning of rural development has slumped rural markets in India. Nevertheless, rural India has the potential to contribute more in percentile by better connectivity and Livestock committee to promote indigenous products of 6,00,000 Indian villages. Globalisation in agricultural sector, exposure of unique handicrafts, textiles, arts, handlooms and treasure of diverse economic opportunity has brought faith among investors. This research paper attempts to analyse issues and address the challenges which have caused hindrance to promote Rural markets across India. The researcher aims to suggest parallel tech-savy solutions to approach global markets and boost economy. The aim of this paper is to give suggestions to promote native products grown and manufactured in villages throughout the world. Further, the role of Panchayat and financial distribution patterns is also discussed in this paper.

Published by: Jayesh P. K.

Author: Jayesh P. K.

Paper ID: V8I4-1206

Paper Status: published

Published: July 25, 2022

Full Details
Research Paper

Predicting stock market direction: hit songs’ sentiment analysis by using bert

Various machine learning algorithms have been used to predict stock market prices and perform analyses. Investor sentiment has been taken into account to predict the prices. However, there are different ways in which investor mood or sentiment can be influenced. Studies have confirmed that people’s mood or sentiment influences their choice of songs and likewise, songs influence people’s mood or sentiment and in fact their buying behavior. This paper proposes a prediction of whether the stock market will be bearish or bullish on the basis of daily hit songs listened to by people on a popular music streaming platform. Only a few types of research have been conducted that propose a correlation between popular songs’ sentiments and predicting the stock market. In this paper, the direction of the Dow Jones Industrial Average (DJIA) index is predicted from the lyrics of daily hit songs on Spotify listened to in the region of the United States of America. The model is trained on the dataset of lyrics of daily top 50 songs on Spotify from January 2017 to February 2022. The BERT (Bidirectional Encoder Representations from Transformers) model in Natural Language Processing (NLP) has been used to predict the direction of the DJIA index for the next day.

Published by: Sagar Bansal, Snigdha Patil

Author: Sagar Bansal

Paper ID: V8I4-1201

Paper Status: published

Published: July 25, 2022

Full Details
Research Paper

A study of factors that influence the level of impulse buying

This paper tries to investigate the fashion industry's irrational purchasing behavior. Comparisons between the internet and offline channels are made to see which is thought to encourage greater impulsive purchasing.

Published by: Ram Talreja

Author: Ram Talreja

Paper ID: V8I4-1197

Paper Status: published

Published: July 25, 2022

Full Details
Research Paper

Assess the burnout syndrome among staff nurses and nursing teachers working in selected settings of Aurangabad city.

Nursing is to bring those who are suffering from disease to a condition for nature to act for preserving health, prevent diseases and injury, and restore health and cure disease. A Comparative study survey study was conducted among 80 sample staff nurses (40) and nursing teachers (40) working in the various settings of Aurangabad, samples were selected by non-probability purposive sampling technique. Data was collected by using sociodemographic variables and Maslach burnout inventory score. The result of this study revealed for nurses has got findings for high burnout levels in section A (Burnout) and section B (depersonazation) as well as findings for nursing teachers was having high burnout levels in section C (personal achievement). There was no significant association found between demographic variables and burnout syndrome among staff nurses and nursing teachers. Thus the study concluded that burnout syndrome was high in nurses compared to nursing teachers. Keywords- Burnout syndrome, Maslach inventory, nurses, nursing teachers Burnout syndrome, Maslach inventory, nurses, nursing teachers

Published by: Varsha Bhagwan Kondke, Rameshwari Ashok Bidve, Shaikh Mohammed Hasan Mohammed Aijaj, Shivkanya Devidas Rawate

Author: Varsha Bhagwan Kondke

Paper ID: V8I4-1195

Paper Status: published

Published: July 22, 2022

Full Details
Research Paper

Utilization of scrap tires for reinforced subgrade

This paper presents an innovative concept in Geosynthetic materials, supported by using old car tires as geocells in construction. it's an awfully exceptional idea for development engineering. With the adoption of this, we are able to fulfill the utilization of geocells in roads and highway construction. More benefits with this total construction cost are reduced and optimized rubber waste in the world and it reduced pollution. aims at evaluating the advantages and identifying the constraints. the chance to use this technology direction for each different road type, the optimization of building trajectories through the employment of the most effective tire section, and further maintaining the elasticity of the road. Those must be composed with the building cost and extra strength issues within the heavy traffic.

Published by: Shashikant S. Manekari, Rajan Usakoyal, Akash Kamble, Shrikanth Vadkal, Samarth Pawar, Revansiddha Pujari

Author: Shashikant S. Manekari

Paper ID: V8I4-1191

Paper Status: published

Published: July 21, 2022

Full Details
Technical Notes

Replacement of steel slage SA fine aggregate

Natural aggregates are becoming scarce and their production and shipments are also becoming more difficult. The main objective of this study is to identify an alternative source of good quality aggregates which are depleting very fast rate due to the fast pace of construction activities in India and to improve the workability and durability of concrete. The use of steel slag as a waste industrial which is the by-Product of iron and steel production provides a great opportunity to utilize it as an alternative to normally available coarse aggregates. In this study concrete of M20 grade for a w/c ratio of 0.45 respectively for the replacement of 25%,50%, and 75% of coarse aggregates by steel slag which is produced as waste material in the steel industry and has a negative impact on the environment when disposed of. The investigation reveals that the steel slag could be utilized as coarse aggregate in all concrete applications and shows a considerable improvement in the compressive strength of concrete over the control mixes by 7 to 8%. Results show that the concrete incorporating steel slag has higher compressive strength and an increase in density and stability was clearly observed in the specimens replaced with steel slag as coarse aggregate.

Published by: Krupanjali S. Bhange, Ritesh D. Jadhav, Pradip S. Shinde, Basavaraj V. Patil, Abhishek U. Jadhav, Sham R. Daware, Anil P. Kajakwale

Author: Krupanjali S. Bhange

Paper ID: V8I4-1190

Paper Status: published

Published: July 20, 2022

Full Details
Request a Call
If someone in your research area is available then we will connect you both or our counsellor will get in touch with you.

    [honeypot honeypot-378]

    X
    Journal's Support Form
    For any query, please fill up the short form below. Try to explain your query in detail so that our counsellor can guide you. All fields are mandatory.

      X
       Enquiry Form
      Contact Board Member

        Member Name

        [honeypot honeypot-527]

        X
        Contact Editorial Board

          X

            [honeypot honeypot-310]

            X