Research methodology is the specific procedures to process any information

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Coca Cola Corporate Social Responsibility Challenges in India

Chapter 1: Introduction 1.1. Research Background This research about CSR in emerging markets, focusing on Coca-Cola in India, investigates how large corporations work around the complex socio-economic and environmental landscapes of developing countries. Recently and rapidly developing markets like India are a test bed for a number of CSR programs due to fast economic growth, complicated socio-political scenarios, and awareness among the public for social and environmental concerns (Khan et

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Predicting Shear Strength In RC Deep Beams Using Machine Learning

Reinforced concrete deep beams are one of the key structural components that are essential in a variety of applications including bridges, tall buildings, and marine structures. They are capable of creating strut-like compression components between applied loads and supporting structures through their distinctive load and support setup, thus being effective load-distribution elements in various structures.  According to ACI code 318-18 [1], beams are classified as deep beams for flexion, with

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Role of Mergers and Acquisitions of Public Sector Banks in Viksit Bharat 2047

Abstract The purpose of this study is to investigate the relationship between mergers and acquisitions (M&A) among public sector banks and their contribution to the vision of Vikshit Bharat by the year 2047, which is defined in India’s development goals. The consolidation of public sector banks through mergers and acquisitions has been seen as a strategic strategy for improving the efficiency, competitiveness, and financial stability of the banking system. The

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Optimizing Machine Learning For Accurate CVD Prediction

Cardiovascular diseases (CVD) are cited as a leading cause of CVD complications and death records similar pronouncements by the American Heart Association that these diseases are responsible for 179 million deaths worldwide annually (Prabhakaran et al., 2022). These figures should also highlight the need to enhance resources for biomedical research and the development of new approaches to managing cardiovascular diseases and their risks worldwide (Vaduganathan et al., 2022). Annually hearing

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The Role Of Sensory Modality In Lexical Decision And Semantic Priming

Introduction Lexical decision and semantic priming are widely used methods for studying how words are recognized and how meaning becomes active in memory. In a lexical decision task, a participant decides whether a letter string or spoken item is a real word. In a semantic priming task, recognition of a target such as “nurse” is usually faster after a related prime such as “doctor” than after an unrelated prime. This

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Student Dropout Prediction Using Fuzzy Rules and CNN

Abstract Governments are primarily concerned with ensuring that all citizens of the world have access to education regardless of their disabilities. This article presents a method for predicting dropout rates among disabled students in order to offer recommendations and alternative pathways for their career enhancement. To achieve this, data on training students’ learning behaviour was collected through an online survey completed by various student organizations, both dropout and non-dropouts. The

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Fuzzy Neural Network Application For Determining The Presence Of Social Media Consumption

Abstract A decision-making model for social media addiction is established. Fuzzy mathematics and BP neural networks are used in the model. There are chosen six judging directories. Quantitative directories’ subsidiary grade functions are organised. Expert scoring confuses the qualitative directories. College students who use networks are randomly chosen as samples. The trial demonstrates that the procedure could effectively and accurately carry out the choice on Social Media dependence. Introduction Experts

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An Optimized Hybrid Deep Learning Model For Early Diabetics Detection

Abstract Modern technology makes it possible to detect diabetes from blood samples since it is brought on by an increase in blood glucose levels. Undiagnosed diabetes has been linked to several dangerous conditions, including heart attack and renal failure. Thus, there is a need for the detection and analysis of diabetes. A novel deep-learning model is presented in this work and is intended to determine if diabetes is present or

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Nursing Practicum Reflection on COVID 19 Care

During my nursing practicum, I had the opportunity to work closely with a preceptor in a hospital setting while the healthcare team continued to manage and prevent COVID-19. The experience allowed me to connect classroom knowledge with direct patient care and to observe how clinical decisions, communication, infection prevention, teamwork, and leadership affect outcomes. My original reflection focused on professional practice, personal strengths and weaknesses, leadership, current healthcare disparities, access

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The “Kelley Model of Followership”

Introduction Organizations often explain success through leadership while treating followers as passive recipients of direction. Robert Kelley’s model challenges that assumption. It argues that effective performance depends on people who can think independently, engage actively, and support a shared purpose without surrendering judgment. Leadership and followership are roles in a relationship, not permanent personality types. The same person may lead one project, follow another, and move between the roles during

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The Functions of Protagonists and Antagonists in Literary Narratives

The antagonist in a work of art is a character opposing the protagonist (protagonist) on the way to achieving his goals. The opposition of the antagonist-protagonist is one of the possible driving forces of the central conflict of the work. The actions of the antagonist not only create obstacles that the protagonist must overcome but can also serve as the reason for the development of the character of the protagonist

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Sampling And Collecting Quantitative And Qualitative Data

Introduction Sampling and data collection connect a research question to the evidence used to answer it. A technically sophisticated analysis cannot repair a sample that excludes important groups or a measure that does not represent the intended concept. The original discussion correctly distinguished probability and non-probability approaches and identified questionnaires as useful tools. However, probability sampling does not always give every person an equal chance; it gives each eligible unit

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