Research methodology is the specific procedures to process any information

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Coca-Cola’s Operational And Ethical Challenges In India Concerning Corporate Social Responsibility In Emerging Markets

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 Merges And Acquisitions Of Public Sector Banks In Vikshit Barat 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

Overview The methods section outlines the systematic approach used to conduct the study, ensuring replicability and transparency. This section details the research design, participant characteristics, materials, procedures, and ethical considerations, providing a comprehensive overview of how the research was conducted. Participants The study involved a total of 120 participants, aged between 18 and 35 years, with a mean age of 25.4 years (SD = 4.2). Participants were recruited from a

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A Metaheuristic Approach To Ensembled Deep Learning Based Wind Power Forecasting

Abstract In the field of renewable energy, the accurate forecasting of wind power generation is paramount for grid stability and efficient resource utilization. This paper presents a novel approach to enhance wind power forecasting (WPF) accuracy using an ensemble of deep learning (DL) models and a meta-heuristic framework. The proposed methodology encompasses a comprehensive pre-processing phase involving data cleaning and normalization through Box-Cox transformation, as well as data imputation to

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A Novel Approach Based On Fuzzy Rule And LSOWL-CNN Forecasting Students With Dropout Prediction And Recommendation Model

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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Professional Capstone And Practicum Reflective Journal

During the practicum, I had the chance to work with my preceptor, which allowed me to learn and explore more about how knowledge and skills can be learned and used to improve patient care and nursing practice. This paper provides a reflection on my strengths and weaknesses, competencies I acquired, and leadership skills regarding my experience in a hospital setting with my preceptor as we focused on the prevention and

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Analysis Of The “Kelley Model Of Followership”

The concepts of leadership and followership are closely connected with each other. It is crucial to mention that the facet of effective leadership provides the necessary directions concerning the performance goals and objectives of the followers (Crossman & Crossman, 2011). The objective of leading others cannot be achieved without the effective intervention of the followers. Leaders are considered the driving force that promotes the features of motivation and commitment in

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Protagonist Vs. Antagonist

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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Negative Impacts Of The Social Media On Teens

In the modern and global world today, technological advancements are consistently changing and revolutionizing the world. Technological advancements are the ones that reduce the distances between people. People are using technological devices to make their tasks easier. Among the great technological advancements, social media is the one that is greatly popular and famous around the globe. Social media is a powerful technology that is designed to make it easier for

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Sampling And Collecting Quantitative And Qualitative Data

The sampling process is often important in both quantitative and qualitative research. Whereas a random sampling strategy is often linked to the quantitative study method, a non-random sampling strategy is tied to the qualitative study method. Still, the selection of the sampling method must always be founded on the generalization interest. Non-probability strategies, on the other hand, are free from randomization techniques. They are used in studies where it is

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