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A Study on the impact of print advertisement on the youth population
International Journal of Multidisciplinary Research Vol. 1, Issue 12 (IV) pp. 91-98, ISSN No. 2277-9302 -
Consumer preference towards private label brands with reference to retail apparel in India /
Indian Journal of Marketing, Vol.49, Issue 7, pp. 49-66, ISSN No: 0973-8703. -
Influence of electronic word of mouth on high value products purchase decision
Zenith International Journal of Business Economics & Management Vol 3 No.1, pp. 34-42 ISSN No. 2249-8826 -
It's Liquidation Time at Bhoruka Gases: A Case Study
GFJMR Journal of Management and Research, Vol-6, pp. 78-92. ISSN-2229-4651 -
Successful and Unsuccessful Revival Strategies of Indian Organisations - A Case Survey
European Journal of Business and Management Vol. 4, No. 15, pp. 142-147, ISSN No. 2222-2839 -
Successful turnarounds: The role of appropriate entrepreneurial strategies /
Journal of Strategy and Management, Vol.8, Issue 1, ISSN No: 1755-425X. -
Strategic Management Practices for Sustainability: A Study of Micro-entrepreneurs of Wellness Industry in Mysore District
The global wellness industry is seeing a major shift in its relevance and growth post COVID-19. The fast-growing wellness industry is driven by organizations of all sizes and scope: large, medium, small and micro enterprises offering a range of services from holistic wellness offerings to focused services, such as beauty, spa, alternative therapy, gym and physical fitness. While we have heterogeneous businesses on the supply side, we have the entire global population on the demand side. Due to the size of the market and growth potential, the competition in wellness service space is intense. In such a situation, it is a challenge to register growth and sustain the same. The challenge is more pronounced for micro-entrepreneurs due to their limited resources and reach. It calls for a strategic approach to managing the businesses to endure the competition and succeed. Hence, wellness businesses are adopting Strategic Management Practices (SMPs) in greater numbers. However, not all strategies work. The purpose of this study is to analyze the impact of significant SMPs adopted by micro-entrepreneurs on business sustainability in the wellness industry. Responses of 392 microentrepreneurs from the wellness industry are recorded and analyzed for the SMPs adopted by them for the economic, environmental and social sustainability of their businesses. The study identified various strategic approaches that are implemented by micro-entrepreneurs in Mysore District and studied the impact SMPs had on sustainability factors of the wellness industry. A model is proposed to support the study. The results conclude that the application of a good amount of SMPs in the form of strategic entrepreneurship enhances the sustainability of a venture as well as the industry, aiding transformation from an unorganized to an organized sector and better regulations. 2024 by World Scientific Publishing Co. Pte. Ltd. -
Available Transfer Capability (ATC) enhancement & optimization of UPFC shunt converter location with GSF in deregulated power system
Available Transfer Capability (ATC) is a measure for transmission system security margin in open access electricity market. Determining the Available Transfer Capability (ATC) of the transmission networks, Repeated Power Flow (RPF) approach have been used since it can satisfy voltage, thermal and stability constraints among all other methods available. The main objectives include identification of best location for UPFC to get maximum ATC enhancement and to propose a novel method for optimizing the UPFC PV bus location using Generation Shift Factor (GSF) so that power system transmission network can deliver more number of power trades. 2016 IEEE. -
Psychological distress among doctoral scholars: Its association with perseverance and passion
Background: the study examined psychological distress and its association with perseverance and passion for long term goals among 400 Ph.D. scholars from Pondicherry University. MethODs: the sample collected through multi-stage convenience sampling technique was assessed using a structured Questionnaire, Depression, anxiety and stress scale (Dass-21), Grit scale and Flourishing scale. resULts: the results showed that 7.5% and 4.5% had severe and extremely severe depression, 12.5% and 20% had severe and extremely severe anxiety, and 5% and 1.5% had severe and extremely severe stress. the data was collected from one indian University and analyzed based the information gathered through self-report inventory. cONcLUsiONs: congenial family environment, good relationship with parents and friends were observed to be positive factors for psychological well-being. there is an urgent need to extend mental health support services to the PhD scholars especially for those who were suffering from severe and extremely severe psychological distress. 2020 Edizioni Minerva Medica Online version at http://www.minervamedica.it -
Influence of auto mobile magazines on customers In finalizing a choice of vehicle
Automotive journalism is a new field that became popular in media with arrival of world leading vehicle manufacturers to India. There are number of new vehicle manufacturers entered to Indian market in the last decade. Automotive journalism got its grid with the flood of new vehicles in the market. Initially auto mobile news and related articles were just a part of the main news papers or magazines. The situation changed drastically with the introduction of auto mobile magazines in India. Flow of manufacturers towards Indian market is still happening and the number of vehicles from motorcycles to big trucks launching in Indian market is not easy to count. In this situation finding a right vehicle according to the need and budget is not an easy task to the customers who wants to buy a vehicle. Now, Indian vehicle market it so huge and test driving each and every car is not an easy task to choose one. The situation forced the auto mobile journalism and automotive magazines to function as a separate field of journalism. The research tries to find out how far these auto mobile magazines are helpful to the people who want to buy a vehicle. Research then tries to analyse the readers of the auto mobile magazines and influence of magazine on customers in their decision making process. -
Review on lightweight cryptography techniques and steganography techniques for IoT environment
In the modern world, technology has connected to our day-to-day life in different forms. The Internet of Things (IoT) has become an innovative criterion for mass implementations and a part of daily life. However, this rapid growth leads the huge traffic and security problems. There are several challenges arise while deploying IoT. The most common challenges are privacy and security during data transmission. To address these issues, various lightweight cryptography and steganography techniques were introduced. These techniques help secure the data over the IoT. The hybrid of cryptography and steganography mechanisms provides enhanced security to confidential messages. Any messages can be secured by cryptography or by embedding the messages into any media files including text, audio, image, and video using steganography. Hence, this article has provided a detailed review of efficient, lightweight security solutions based on cryptography and steganography and their function over IoT applications. The objective of the paper is to study and analyze various Lightweight cryptography techniques and Steganography techniques for IoT. A few works of literature were reviewed in addition to their merits and limitations. Furthermore, the common problems in the reviewed techniques are explained in the discussion section with their parametric comparison. Finally, the future scope to improve IoT security solutions based on lightweight cryptography and steganography is mentioned in the conclusion part. The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2024. -
Adaptive algorithms in smart antenna beamformation for wireless communication
The challenges for today's wireless communication technology are increased data rates, channel capacity and spectrum efficiency with reduced interference. The adaptive antenna array is capable of adapting to the varying signal environments automatically and forms beams in the directions of the desired signals by steering nulls in the directions of interfering signals. Therefore smart antenna is the best solution to overcome the above mentioned challenges. Smart antennas uses advanced digital signal processing algorithms to enhance the detection of desired users in an interfering environment through spatial filtering. In this paper we will discuss the influence of Least Mean Squares (LMS), Recursive Least Squares (RLS) and Normalized Least Mean Square (NLMS) algorithms in adaptive beamforming. The simulations used for the study are carried out using MATLAB R2013a. 2016 IEEE. -
Kitchen Waste Derived Porous Nanocarbon Spheres for Metal Free Degradation of Azo Dyes: An Environmental Friendly, Cost Effective Method
A porous nanocarbon spheres (PNCSs) were prepared from kitchen waste and successfully used for the metal and oxidant free degradation of azo compounds. The PNCSs obtained by the pyrolysis of onion peel, at 1000C, were found to be effective catalysts for the reductive degradation of azo dyes in presence of hydrazine hydrate. The reductive cleavage of azo bonds (N=N) was achieved under microwave irradiation. The degradation process was completed in a span of 1040min; the process was monitored by ultravioletvisible spectroscopy. Fourier transform infrared spectroscopy was also used for the illustration of azo degradation. Interestingly, the reductive degradation of azo dyes produced corresponding amines and they were successfully reused for the preparation of fresh azo compounds. The work, therefore, highlights the valorization of largely produced kitchen-wastes to the sustainable PNCSs and it also provides a platform to demonstrate their applicability as highly cost-effective catalysts for bulk scale chemical transformations. Graphical Abstract: [Figure not available: see fulltext.]. 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
Porous carbons derived from Arecanut seeds by direct pyrolysis for efficient CO2 capture
In this report, we demonstrate the preparation of a series of carbon nanospheres (CNSs) with high surface area and tunable sizes from natural bioresource, Arecanut kernels, by using direct pyrolysis. This method offers a convenient approach to induce porosity in the synthesized carbons without the need for an activating agent. The textural parameters including the specific surface area, pore volume, and pore size can be controlled by the simple adjustment of the carbonization temperature from 700 to 1000C. The CNSs prepared at 700C showed a low specific surface area, whereas the higher carbonization temperatures (8001000C) supported the rise in specific surface area of the products (433.61001.4 m2/g). The carbon, hydrogen, and nitrogen (CHN) analysis revealed that the CNSs exhibited a high purity with the carbon percentage ranging between 96 and 99%. The synthesized materials were tested as adsorbents for CO2 gas, and it was found that the CNSs with the highest specific surface area of 1001.4 m2/g registered the CO2 adsorption capacity of 14.1 mmol/g at 0C and 30 bar, which is a reasonably high value among reported porous carbons prepared without activation. This value of CO2 adsorption also stands above the activated carbon and multiwalled carbon nanotubes. The excellent CO2 adsorption capability of these adsorbents along with their low-cost synthesis offers a feasible pathway for designing such materials for other applications as well. 2021, Qatar University and Springer Nature Switzerland AG. -
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Leveraging Blockchain Technology forInternet ofThings Powered Banking Sector
Banking sector contributes to 70% of Indian Gross Domestic Product (GDP) and for India to meet its economic aspirations, it should enable this vivacious sector to grow at 810 times of its current pace, in the next ten years. This pace of active growth requires a double engine of sophisticated technology and a tech enabled, scalable, and a secured banking system. Implementing BlockchainTechnology (BCT) in the banking sector, provides a realistic solution which when coupled with devices connected by the Internet of Things(IoT), will result in secured, fast-paced, cost effective, and transparent growth of the sector. The prevalence of personalized banking, secured banking, connected banking, and digital banking are use cases, made possible through interface with IoT. This chapter delves into the opportunities in the banking sector to be explored and challenges to be met in the BCT-IoT implementation process. BCT- and IoT-based opportunities such as peer-to-peer lending, Know Your Customer (KYC) updation, Cross-border transfer payments, syndicate lending, fraud reduction are some of the banking operations that are elaborated. To strengthen the banking network, the consensus algorithm of Blockchainnetwork is much required and the use of IoT devices to act as nodes is pertinent. The blend of both in the banking space has to be further reinforced. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Prediction of Hazardous Asteroids Using Machine Learning
As the need for early detection and mitigation of potential threats from near-Earth objects continues to grow, this study presents a comprehensive approach to predicting hazardous asteroids through the application of machine learning techniques. With the increasing interest in safeguarding our planet from potential impact events, the accurate classification and prediction of hazardous asteroids is of paramount importance. This research leverages a diverse dataset comprising a wide array of asteroid characteristics, including orbital parameters, physical properties, and historical impact data, to train and validate machine learning models. The study employs a combination of feature engineering, data preprocessing, and state-of-the-art machine learning algorithms to assess the risk posed by asteroids in near-Earth space. 2024 IEEE. -
Achievement of children in academics: An exploration into parental philosophies /
The current study is an exploration into parental philosophies behind their involvement in the academic lives of their children. 14 pairs of parents and children were interviewed and the data gathered was analyzed using thematic analysis. The role that parents play in shaping the academic and vocational choices of their children was analyzed. The framework of this study included childrens perspectives on parental involvement in their academic lives as well. This was to gain insight into childrens point of view on how similar or different their thinking was from their parents on matters such as education, hobbies, career goals, academic expectations. -
Insights into thyroid disease: Harnessing machine learning for analysis and classification of multi-label medical data
Thyroid disease refers to a wide range of disorders that occur due to dysfunction of the thyroid gland, a small gland located at the base of the neck that produces thyroid hormones. Through the analysis of this comprehensive dataset, we aim to utilize machine learning (ML) techniques for the analysis and classification of thyroid data. Employing ML techniques for thyroid classification has the potential to improve diagnostic accuracy, facilitate timelier interventions, lower expenses, optimize doctor time, and foster a more personalized approach to thyroid care. The objective of this research was to conduct multiclassification, encompassing the broadest array of classes for the target variable. To address the imbalances within the dataset, we employed the Synthetic Oversampling Technique (SMOTE) as a resampling method. Specifically, classes with a minimum of 10 samples were retained, resulting in the inclusion of 19 out of the total 34 classes in the dataset. The importance of SMOTE in addressing class imbalance is examined in this chapter, with an emphasis on how it may be used to enhance classifier model performance. Moreover, we conducted a comparative analysis of Classification Models, including Random Forest, K-Nearest Neighbor, Decision Tree, SVM, Gradient Boosting, Multinomial Naive Bayes, and Logistic Regression, to assess their accuracies. Following the resampling of the dataset, the highest accuracy of 99.99% was achieved with the gradient booster. Additionally, this research incorporated the association rule technique to uncover meaningful relationships within the dataset. 2025 selection and editorial matter, Arun Kumar Rana, Vishnu Sharma, Sanjeev Kumar Rana, and Vijay Shanker Chaudhary; individual chapters, the contributors. All rights reserved.