Volume 11 | Issue 2

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CULTURAL CONFLICTS IN SOCIAL MEDIA LITERATURE: AN ANALYTICAL STUDY

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EXPLORING THE EFFECTIVENESS OF INFLUENCER MARKETING IN PROMOTING BRAND AWARENESS

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manushaihi saha mruganam abhivyaktehe saraha sahityeshu darshayati. saahityeshu aagamanaanam paatraanam vibhinneshu saahaayam.

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pragnyanavallekhashaalini

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Alarming fall of ground water level which highlights the need of effective legislation to manage and regulate groundwater for the state of Maharashtra. Conservation of ground water starts by knowing by the process of law about existing number of wells/bore-wells and drilling of new wells/bore-wells and estimated extraction of ground water.

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NEED OF EFFECTIVE LEGISLATION TO MANAGE AND REGULATE GROUNDWATER FOR THE STATE OF MAHARASHTRA

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The educational system around the world is under increasing pressure to use new information and communication technology to acquaint students with the knowledge and information, they require in this techno savvy era. To develop a knowledge society, it is essential to integrate ICT at all levels of education system. E-content is a very powerful tool of education. It is the latest method of instruction that has attracted attention of learners and teachers of all instruction systems. It is the valuable resource for development of information rich society where everyone, irrespective of caste, religion, race, region and gender bias are empowered to create, receive, share and utilise information and knowledge for their economic, social, cultural and political upliftment and development. The present research paper focuses on the assessment of effectiveness of E-content for enhancing the level of attainment of grade specific learning outcomes by 7th grade students in Geography. The study was conducted using experimental method. The findings prove that experimental group students were better than the controlled group students which was reflected in the scores gained by students. Thus, it can be concluded that e-content proves to be a very useful tool to bring better conceptual clarity to some abstract concepts for attaining grade specific learning outcomes by students at the upper primary stage.

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E-content, Learning Outcome, Geography

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The field of blockchain has advanced significantly during the last few years. The application of blockchain technology has the potential to completely transform education by giving people new, affordable, and creative methods to learn, as well as by changing how educators and students collaborate. Blockchain technology can also be used to issue digital certificates that are unchangeable. By making certificate verification processes faster, more dependable, and decentralized, blockchain technology can improve the current shortcomings of certificate verification systems. There is a lot of scholarly interest in this topic because of the use of blockchain in education. However, studies on the use of blockchain technology for academic credential verification are still in the early stages of development. stage. In this work, we focus on a thorough assessment of the literature on blockchainbased systems for academic degree verification in order to shed additional light on the area. Therefore, the goal of this survey is to gather all pertinent research into a systematic literature review that emphasizes the major contributions made throughout the years by different scholars, with an emphasis on the past, present, and future. Using the PRISMA framework, we have found 34 research that are relevant out of 1744 publications published between 2018 and 2022. In addition to identifying research gaps that the scientific community needs to fill and investigate, we highlighted six primary themes that were covered by the research publications that were analyzed.

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: Blockchain platforms; smart contracts; automated certificate generation; systematic literature research; academic certificate verification; security and transparency; fraud prevention; ethereum

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Social media's recent explosion has given individuals a strong platform on which to express their ideas. To understand user orientation and make better judgments, businesses (or similar entities) must determine the polarity of these viewpoints. One such use is in politics, where political organizations must comprehend public opinion in order to choose their approach to campaigning. Many people believe that sentiment analysis of social media data is a useful technique for keeping track of user inclinations and preferences. In order to perform sentiment analysis, supervised learning techniques--which are utilized in wellknown text classification algorithms like Naive Bayes and SVM--need a training data set. Both the volume and the quality (features and contextual significance) of the labeled training data affect the algorithms' accuracy. Most applications use cross domain sentiment analysis, which loses out on features pertinent to the target data, because they lack sufficient training data. Consequently, this reduces the overall text classification accuracy.

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Vader, Twitter, sentiment analysis, text classification, training data, labeling, Passive aggression Classifier

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The growing popularity of electric vehicles (EVs) on a worldwide scale led to further research to monitor their performance. The use of internet of things (IoT) technology will make it easier to integrate the automated real-time monitoring system with the current EV technology. The great majority of EVs use rechargeable lithium-ion batteries. Use of lithium-ion batteries creates an overcharging situation in the battery, which significantly decreases battery life. It also increases the possibility of disastrous safety risks due to fire. This paper develops an IoT- based battery management system (BMS) to minimize hazardous situations. The proposed BMS notifies the user about the condition of the battery in real time

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Internet of Things (IoT), Battery life, EV user interface

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ABSTRACT-Technological advancements have significantly enhanced the quality of human life, introducing novel solutions to various challenges. In the realm of finance, where access to credit profoundly impacts individuals and businesses, predictive algorithms offer invaluable assistance. This study explores the application of machine learning algorithms such as logistic regression, random forest classifier, and support vector machine classifier to predict loan approval outcomes based on historical data. With a plethora of loan applications inundating financial institutions daily, the allocation of limited funds necessitates precise decision-making. By analyzing past patterns of creditworthiness, these algorithms aim to optimize the loan approval process, thereby minimizing risk and maximizing profitability for banks. The predictive models developed herein serve as tools for enhancing efficiency and accuracy in loan approval procedures, contributing to the continual improvement of the financial sector.

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Machine learning, Data, Loan, Training, Testing, Prediction.

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Within the program program-described WBAN (SD-WBAN) structure, it's distant crucial to expand the community lifetime since of the kept quality of sensor hubs, and the combination prepare is one of the greatest electricity-consuming approaches in SD-WBAN. In this paper, a energetic and postpone-conscious set of rules is utilized in Cuckoo Look Optimization (CSO) to resolve various delays, bundle misfortunes and procure adaptability of SD-WBAN. In this bulletin, we are ready to require a see at a few security necessities in state-of-the-art WBAN-primarily based healthcare machine. Here we utilized mysterious verification convention to select confirmed customer in WBAN. A comfortable key administration gadget with arbitrary key dissemination (RKP) for comfortable communication. SNR, battery level and ASSULTIM number to choose out the course. Preparatory results appear that CSO employments an power and idleness administration strategy that accomplishes green transmission with tall execution in physical wi-fi systems in terms of compelling battery subject, bundle conveyance cost, quit-to-quit put off, throughput, and community lifetime

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WBAN, SD-WBAN, Cuckoo Search Optimization (CSO), healthcare system, security requirements, anonymous authentication, random key distribution, sensor nodes, packet loss, delay, flexibility, energy efficiency, delay-aware routing, encryption, Feistel cipher, lightweight block cipher, body sensor networks, clustering, cluster head selection, LEACH protocol, energy-efficient routing, mobile sinks, network lifetime extension, throughput, delay analysis, node energy balancing, system architecture.

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Companies are placing a growing emphasis on enhancing employee satisfaction by allocating more financial resources towards this goal. The importance of job satisfaction is increasingly recognized worldwide. Prioritizing success is crucial, and the IT industry is renowned for its innovative approaches in integrating HR strategies to enhance employee satisfaction. The intricate interaction between demographic characteristics, views about job insecurity, and work environment elements is the central focus of this paper's examination of sentiment dynamics in the Indian IT industry. This study reveals the intricate connections that influence employees' experiences by utilizing deep learning techniques and statistical analytics. Tests and an industry-wide ANOVA have provided substantial evidence supporting the significance of age, gender, experience, and qualifications in relation to job insecurity. Sentiment analysis enhances the quantitative findings by incorporating an affective component. This study examines the impact of affective components on perceptions of leadership, opportunities for learning, and incentives in the workplace. By taking a two-pronged approach, people can learn more about how various demographics interact with these important workplace factors. This study utilizes advanced statistical methods and sentiment analysis techniques to explore the complex connections between demographic factors, workplace dynamics, and attitudes towards job insecurity. The results show that people's views of their own job security are greatly affected by a number of characteristics, such as their gender, age, experience, and education level. Results from ANOVA and robust testing corroborate this finding.

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Sentiment analysis, deep learning, organizational assessment, job insecurity, demographic factors, work environment, Indian IT sector, emotional insights

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Yoga is the science of contemporary life, of correct living, and it ought to be a part of our everyday existence. It is more than just a weekly, two-hour pastime class. Yoga has technological systems that support resilience, mental and physical energy harnessing, mind relaxation, and the development of an integrated personality. It serves as a means of achieving emotional equilibrium and achieving mental and physical harmony. Depending on their lifestyle, a person can select one or a mix of two or more of the several yoga paths, including hatha, bhakti, raja, jnana, and karma yoga. Asanas, relaxation, meditation, and pratyahara practices, along with adhering to social and personal disciplines, can all be practiced. It is up to each person to determine which route best fits their requirements, way of life, and personality. Yoga may be performed with a regular lifestyle, but with distinct goals, a different mindset, and a different outlook on life and the people in it.

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Yoga, lifestyle, Health etc.

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In India, organic food market is in emerging stage has experienced steadfast growth in the past few years. The current growth in the organic market is driven by health factor and safe consumption. Day to day the environmental concern is increasing, Health issues are becoming consumer's priorities to purchase the products. Also consumers are focusing on the quality aspect of the products as well as their impact on the environment. These are the main driving force while purchasing the organic products. Thus, this research study has been undertaken in Chennai and to focus the consumer buying behaviour towards organic products. Organic food is absolutely natural and is packed with load of viral nutrients which is required by the body. Hence, an attempt has been made to reveal the consumer buying behaviour towards organic products in Chennai City.

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Food Products, Attitude of Consumers, Awareness, Buying Behaviour.

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