Volume 11 | Issue 2 |

 Abstract

The purpose of this study is to compare and contrast the efficacy of various forms of advertising for fast-moving consumer goods (FMCG) in India "It also emphasizes the impact of advertising on fast-moving consumer goods (FMCG) sales, a concept known as "market penetration," by introducing supplementary programs such as "warm stock" displays at select retail locations and "below market price" sales.

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ADVERTISEMENT, FMCG PRODUCTS, ITC

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Women are part and parcel of all cultures. They play an important role in deciding the destiny of any country. Thus awareness and increased participation in social and political questions are all the more important. Their development is the main lever for the promotion of society as a whole and it is important for the well- being of this society in individual groups. The unfair position of women is perhaps the most alarming feature of most Western societies. The research paper has properly known and understood the experiences of women's normal life, which has the veracity of the experience. The research paper is based on library and analytical method. This study can prove to be a guide for researchers.

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 Keywords

Human development, poverty, Panchayati Raj, development, female population etc.

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Creative Commons Attribution 4.0 and The Open Definition

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A corporation's payout of profits to its shareholders is known as a dividend. A corporation is able to distribute a portion of its profit as a dividend to shareholders when it generates a profit or surplus. Any remaining funds are seized and reinvested in the company (called retained earnings). A corporation is typically not allowed to pay a dividend out of its capital; therefore, both the current year's profit and the retained earnings from prior years are eligible for distribution. If the company has a dividend reinvestment plan, the amount can be paid via the issue of additional shares or by share repurchase. Alternatively, distribution to shareholders may be made in cash (often a deposit into a bank account). There are times when the distribution may. A shareholder's dividend is considered their own income and could be liable to income tax (see dividend tax).This income is taxed in various ways depending on the jurisdiction. The dividends paid by the corporation are not tax deductible. Shareholders receive a dividend in proportion to their holdings, which is distributed as a fixed sum per share. Dividends have the potential to increase shareholder morale and offer predictable income. Paying dividends is not an expense for a joint stock firm; rather, it is the distribution of after-tax profits to shareholders. Retained earnings, or profits that have not been paid out as dividends, are reported in the same area of the balance sheet as issued share capital as shareholders' equity. Public corporations typically pay dividends on a set timetable, but they may declare a dividend at any time. This payment is frequently referred to as a special dividend to set it apart from the dividends paid on a set schedule. The most typical type of payment is cash dividends, which are given out in money and typically done so either an electronic funds transfer or a physical check. Such dividends are a type of shareholder investment income that are often considered earned in the year they are paid (and not necessarily in the year a dividend was declared). There is a declared sum of money distributed for each share owned. The holder of the stock will receive $50 if they own 100 shares and the cash dividend is 50 cents per share. Dividends are considered a deduction from retained earnings rather than an expense. Dividend payments are recorded on the balance sheet rather than the income statement.

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Dividend, comparison, NSE , companies etc

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Customer retention is critical to the success of a service business like VST Motors. Service level has become a customer retention factor. The relationship between service quality and customer retention is becoming clearer every day. This study focuses on VST Motors Limited, which aims to find out how service quality affects customer retention in the Caddalore service industry. The five dimensions of the SERVQUAL model (reliability, confidence, tangibility, empathy, and responsiveness) are considered the basis for the study.When it comes to customer retention, research shows that responsiveness and empathy are more important than service tangibility, certainty, and reliability. Research results also indicate that the quality of services provided has improved. Research shows that providing high-quality service increases customer retention, which increases customer loyalty and commitment. Customer retention is therefore becoming one of the key business ideas to be further explored, particularly in the service sector. The main objective of this study is to identify key factors that positively affect customer loyalty and retention in the service sector.This study complements the literature by highlighting the relationship between service quality, customer satisfaction, trust and commitment. Data are evaluated using several steps including coding and classification processes. Research results confirm that there is a significant relationship between service quality and customer satisfaction, trust and commitment, which positively affects customer loyalty and retention.

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 Keywords

Customer retention, customer loyalty, service quality, customer satisfaction, customer commitment.

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Deep learning and machine learning are increasingly being utilized to evaluate medical pictures and address machine intervention difficulties. While existing deep-learning and machine learning technologies are adaptive, they need medical image analysis-specific capabilities and need substantial research before they can be applied in this sector. Consequently, several research teams have built incompatible infrastructure and spent critical time repeating their work. This article offers several medical pictures for various conditions that may be used to use machine learning and deep learning approaches. Images of the heart, chest, lungs, musculoskeletal system, eye, breast, and skin are used for comparison. Comparisons between deep learning and machine learning for the same illnesses using various images and approaches are primarily studied, and the findings of the research are made available to the public so they can be utilized, improved, and developed upon

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Deep learning, machine learning and medical images.

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Creative Commons Attribution 4.0 and The Open Definition

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film, film appreciation, media usage habits, correlation analysis

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Image mining finds useful information in large image datasets. Data mining, digital image processing, machine learning, image retrieval, and AI underpin image mining. Image mining extracts hidden data and patterns from images. Two key issues might arise while mining gathered images: first, the image must be acceptable for mining, and second, the image's selected items and characteristics must be processed to retrieve the most effective way to save time and effort. This research describes the image mining technique and classifies breast cancers using image mining. In addition, a generic scheme is provided to complete the procedures and analyse the current malignancy classification methodologies compared to training groups and accuracy. The report also compares current relevant publications. Deep convolutional neural network accuracy was reported at 98%. (DCNN).

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Data Mining, Image Mining, Breast Malignancy, Image Classification

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Creative Commons Attribution 4.0 and The Open Definition

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A cryptocurrency is a type of digital money which is based on the blockchain technology. This can be moved using digital address. To combat circumstances of inflation and deflation, the central bank and government of the nation manage currencies. These coins are used outside of the typical banking institutions. These are run on the market with no restrictions. Many nations around the world are now focusing on using digital currency and its transactions. This leads to more innovation in the field of new money, particularly in the field of cryptocurrency, one of the most cutting-edge, unclear, and unregulated currencies. I tried to learn about cryptography in this article, and its development and future prospectus in India. This paper shows the growth and future of the currency in India.

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Creative Commons Attribution 4.0 and The Open Definition

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Cryptocurrency , Digital money , Block chain technology , Digital address

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Creative Commons Attribution 4.0 and The Open Definition

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Mergers and acquisitions have been the most common means of inorganic corporate expansion for years. It is widely used in restructuring business organizations. Companies make mergers and acquisitions based on strategic business motivations that are inherently economic. This research study seeks to assess the pre- and post-impact financial performance of an acquiring company. This is done by comparing the pre-and post-merger performance of the acquiring company and the impact of his Covid-Pandemic on that merger. We will also consider the firm's impact if again covid pandemic happens in the year that affects the company. As part of our analysis, we use the two tower infrastructure businesses Bharti Infratel Ltd. and Indus Towers Ltd. Following the merger's announcement in 2018, the procedure was finished on November 19, 2020. The combined business's paid-in capital increased to Rs. 26,99,369,500. Vodafone Idea exited the market by selling its 11.15% share in Indus Towers Ltd. for Rs. 3760 million euros. The newly combined business was named Indus Towers Ltd. and is traded on the BSE and NSE stock marketplaces.

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Merger, Acquisition, Pre, Post, Operating, Performance, Covid effects, Telecom Sector

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As a result, AI methods are rapidly being applied to healthcare issues. In recent years, scientists have employed deep learning methods to categorize the severity of Chikungunya infection. Overfitting and hyper-parameter tweaking are problems that arise when using these methods, though. Methods: In this study, we propose a cyber-physical system (CPS) powered by artificial intelligence for determining how severe cases of Chikungunya are. Computational algorithms are combined with the CPS system's physical components to improve performance. Random forest is used to create a model for determining how severe cases of Chikungunya sickness are (RF). Overfitting and slow computing are problems plaguing RF, however, because of its complicated design and huge number of connection weights. Thus, we propose a genetic method with adaptive crossovers to be used in a developing RF model (ACGA). ACGA has the ability to effectively optimize RF design, leading to improved outcomes and increased computing speed. Multiple tests are run on the Chikungunya illness dataset. To sum up, the examination of performance reveals that ACGA-RF is superior to competing models in terms of F-measure, accuracy, sensitivity, and specificity. Patients who reside distant from hospitals will still have access to medical care according to the CPS proposal.

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 Keywords

Machine Learning, Random Forest, Logistic Regression, Decision Tree, adaboost, ML techniques, e-learning, evaluation

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Creative Commons Attribution 4.0 and The Open Definition