Volume 12 | Issue 5 |

 Abstract

Air pollution is the presence of human-harming substances in the atmosphere. It is linked to a significant risk of cardiovascular diseases (such as strokes and ischemic heart disease), chronic obstructive pulmonary disease, asthma, lower respiratory infections, and lung cancer that cause premature death. The primary gaseous pollutants are volatile organic compounds (VOCs), such as polycyclic aromatic hydrocarbons (PAHs), as well as inorganic substances like lead or chromium (Pb or Cr), ozone (O3), carbon monoxide (CO), sulphur dioxide (SO2), nitrogen dioxide (NO2), and carbon dioxide (CO2). The respiratory symptoms of asthma, which include coughing, wheezing, dyspnoea, and chest tightness linked to fluctuating expiratory airflow limitation, are indicative of a chronic inflammatory airway disease. tiny particles in the air that are present in smoke, haze. As a result of breathing in tiny particles from contaminated air, soot and airborne dust can cause major issues with air quality and irritate your lungs. Inhaled tiny particles and irritating gases can pose a larger risk to individuals suffering from asthma. They may aggravate asthma by irritating the respiratory tract. Although anybody can be affected by air pollution, those who have asthma are more vulnerable. Pollution both indoors and outside can aggravate asthma symptoms.

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 Keywords

asthma conditions, air pollution, outdoor air pollutants, indoor air pollutants, asthma symptoms, exacerbations, management

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Online courses play an significant role in the developing of new skills in students. As a result of open learning platforms and online courses, there is an increasing number of online courses, and certifications available on the internet from various universities. This project is a machine learning-driven course recommendation system that uses the concepts of decision trees in machine learning to provide an effective method for making decisions and generating all the possible outcomes. The K-NN algorithm also helps to store all the available data, classifies a new data point based on the similarity, and produces the desired results. This project suggests appropriate learning courses for students by viewing their study streams and interests. For students to achieve their ideal goals, choosing a learning pathway is essential. However, since there is an abundance of knowledge that is obviously related, it can be difficult for students to select a course that combines their interests and future demands. This proposed framework suggests courses that have previously been taken by similar students, facilitating students to choose a course of study based on their interests. The suggested method makes use of a number of data mining strategies to find correlations between courses. Evaluations based on analysis parts are a key component of the project's methodology. With the help of these methods, we are able to select a suitable course that is given as input, then provide courses that satisfy various requirements. The outcomes meet the requirements for discovering related courses and providing them via cross-platform apps to the students who will use them to enhance their education.

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 Keywords

Collaborative Filtering, Decision Tree (DT), K-Nearest Neighbor (KNN), Linear Regression

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

E-commerce as anything that involves an online transaction. E-commerce provides multiple benefits to the consumers in form of availability of goods at lower cost, wider choice and saves time. The general category of ecommerce can be broken down into two parts: E-merchandise and E-finance. E commerce involves conducting business using modern communication instruments: telephone, fax, e-payment, money transfer systems, e-data interchange and the Internet. Online businesses like financial services, travel, entertainment, and groceries are all likely to grow. Forces influencing the distribution of global e-commerce and its forms include economic factors, political factors, cultural factors and supranational institutions.

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 Keywords

E- commerce, modern communication, GST.

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Creative Commons Attribution 4.0 and The Open Definition

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This report examines the impact of technological advancements on retail sales in the mutual fund industry, focusing on how digital platforms, mobile applications, and automated investment tools have transformed the landscape. It explores the benefits, such as increased accessibility and convenience, alongside the challenges, including security concerns and complexity. The study analyzes customer engagement, identifying the most promising technological features, and addresses the varied effects of the COVID-19 pandemic on technology adoption in mutual fund sales. The report offers recommendations to enhance user-friendly interfaces, strengthen security measures, provide personalized financial advice, and leverage social media for investor engagement. These insights aim to guide mutual fund providers in optimizing their strategies for a technology-driven retail sales environment.

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 Keywords

Mutual Funds, Retail sales, Technology, Asset Management Companies

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: This study explores the impact of neighbourhood contextual factors on alcohol use and related issues in Wayanad, Kerala, India with a notable prevalence of alcohol-related problems, particularly among the Scheduled Tribes (STs), constituting 18% of the population. Recognizing the diverse negative consequences associated with alcohol use, including health, social, economic, and psychological problems, alongside discrimination and stigma, this research employs a mixed-methods approach. Quantitative data collected from respondents Qualitative insights were gleaned from 60 purposively selected respondents through semi-structured interviews, exploring their experiences with alcohol use and problems, and the influence of contextual factors. Findings reveal higher rates of alcohol use and issues among STs compared to non-STs, varying significantly across villages. The study underscores the impact of neighbourhood contextual factors - poverty, low literacy, diminished social capital, and increased alcohol availability - on alcohol use and problems, independent of individual socio-demographics. Qualitative data corroborate and elucidate the underlying mechanisms. The study concludes that interventions should address both individual and neighbourhood factors to tackle alcohol-related challenges effectively. Additionally, it advocates for mixed-methods research to comprehensively understand these issues, suggesting spatial analysis as a valuable tool for identifying and addressing alcohol hot spots. Ultimately, the study contributes to the alcohol-related literature in India, offering valuable insights for policymakers, practitioners, and researchers in addressing alcohol dependence and discrimination in Wayanad.

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 Keywords

alcohol use, neighbourhood contextual factors, alcohol problems, Scheduled Tribes.

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Creative Commons Attribution 4.0 and The Open Definition

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One of the main legislations of law supporting India's efforts to stop illegal financial transactions is the Prevention of Money Laundering Act. Sections 24 and 45, two crucial clauses, have drawn a lot of attention because of their implications for procedural justice and the efficacy of regulations. In-depth analysis of the constitutionality, practical implications, and conformity to international norms of Sections 24 and 45 of the PMLA are done in this research paper. The paper assesses the judicial interpretations, practical ramifications, and evolution of jurisprudence of these rules using an interdisciplinary lens that includes legal, business, and regulatory viewpoints. The study provides insights into the complex interactions between evidential burdens, bail terms, and the overriding goals of preventing money laundering while preserving individual rights and financial integrity. It does this by drawing on landmark case law, legislative changes, and academic discourse. This research contributes to a greater knowledge of the regulatory landscape and enriches ongoing discussions about the effectiveness and equity of anti-money laundering measures in India by clarifying the intricacies and ramifications of Sections 24 and 45.

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 Keywords

PMLA, ED, CA, SC

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Creative Commons Attribution 4.0 and The Open Definition

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The Employees' State Insurance Corporation (ESIC) in India plays a vital role in providing social security and healthcare benefits to workers across various sectors. This research paper aims to delve into the mechanisms of ESIC, exploring recent developments and achievements. Through a comprehensive review of literature, policy analysis, and empirical data, this paper seeks to elucidate the functioning, challenges, and outcomes of ESIC in India. It examines the evolution of ESIC, its organizational structure, funding mechanisms, coverage, and benefits provided to insured persons. Additionally, it assesses recent reforms, technological advancements, and innovations introduced to enhance the efficiency and effectiveness of ESIC. The paper also highlights key achievements and success stories, along with the persisting challenges and areas needing improvement. Overall, this paper contributes to a better understanding of ESIC's role in social protection and healthcare delivery in India.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Employees' State Insurance Corporation, social security, healthcare benefits, mechanisms, recent developments, achievements.

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Creative Commons Attribution 4.0 and The Open Definition

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Blockchain technology, which offers a decentralized and safe platform for the creation, ownership, and exchange of distinctive digital assets, has emerged as a key component in the growth of Non-Fungible tokens (NFT) markets. NFTs use the immutable ledger of blockchain technology to indicate ownership or authenticity of digital content and to prohibit unauthorized changes. Smart contracts are used by the blockchain technology used in NFT marketplaces, which is frequently based on Ethereum or other compatible blockchains, to automate the generation and execution of NFT transactions. By defining the guidelines for the creation, transfer, and verification of NFTs, these smart contracts do away with the need for middlemen and increase participant trust. The provenance of NFTs is determined in large part by the key aspects of blockchain technology, including decentralization, cryptographic security, and consensus procedures. This addresses issues with intellectual property and authenticity by guaranteeing that the history of any digital item, from its creation to its current owner, is traceable and verifiable.

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NFTs, smart contract, decentralization, blockchain technology.

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Creative Commons Attribution 4.0 and The Open Definition

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This research paper delves into the intricate landscape of horror genres within contemporary fiction, analyzing their evolution, themes, and societal impact. It examines how horror literature has adapted to cultural shifts and technological advancements, influencing and reflecting societal fears and anxieties. Through an exploration of key works and critical analysis, this paper seeks to elucidate the enduring relevance and significance of horror genres in shaping contemporary literary landscapes.

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Creative Commons Attribution 4.0 and The Open Definition

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Horror literature, societal impact, contemporary fiction

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Creative Commons Attribution 4.0 and The Open Definition

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Vehicle to Vehicle communication is one of the upcoming prominent technologies, which aims to provide more road safety measures by providing the important data and information of the vehicles. By introducing Li-Fi technology in the V2V communication enhances the overall performance of the system. The Li-Fi technology helps the V2V communication system to transmit data through a wireless medium at a higher data rate. In Li-Fi, signal is transmitted from a LED and the data is received by the photodetector. In this project, a prototype V2V communication Li-Fi system is designed to avoid road accidents and traffic congestion. The transmitter of the proposed system consists of Li-Fi transmitter module to convert the input data into modulated light signal. The receiver of the proposed system consists of Li-Fi receiver module which decodes the modulated light signal. The decode data is displayed in the LCD. The data shared between two vehicles are speed, temperature and steering angle. These parameters are important to avoid major accidents. Li-Fi technology is used over other transmission techniques, because it is suitable for real time applications.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Li-Fi, V2V, Speed, Temperature, Arduino, Light, Transmitter, Receiver

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Creative Commons Attribution 4.0 and The Open Definition