Volume 12 | Issue 6 |

 Abstract

Employee attrition and retention has been one of the major issues of the IT industry in Coimbatore. The issue of employee Attrition and retention remains a significant concern within the IT industry in Coimbatore. This research primarily aims to identify and examine the factors to employee turnover and retention within IT companies in Coimbatore. Data was gathered through a questionnaire to analyze factors such as personal attributes of employees, opinions on factors influencing turnover, and retention strategies implemented in terms of service and working conditions, as well as welfare measures. Currently, the Information Technology sector is grappling with the challenge of recruiting and retaining skilled individuals while also addressing talent loss due to turnover. One of the most pressing challenges faced by employers, particularly in the Information Technology field in the 21st century, is the high rate of employee turnover leading to a manpower shortage amidst a growing demand for skilled professionals. This dynamic often poses numerous challenges for employers in the industry while also presenting opportunities and benefits to employees through effective retention strategies. (Source: Vibha Gupta, 2013, Nargundkar and Rajendra, 2003).

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Retention, HR practices, employee attrition

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Creative Commons Attribution 4.0 and The Open Definition

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Today, social media is one of the most popular and widely utilized forms of communication. People currently utilize social media to interact with one another all around the world. People have been using social media to discuss their experiences in recent years. These product reviews posted by social media users are read by thousands of people every day and they have become a source of influencing consumer buying behaviour. Organizations have started to use social media to sell their products and services after realizing the value of this medium. Social media is being used today to effectively market products and services and to attract a wide demographic of audience. This paper aims at identifying how different aspects of social media can impact consumer behavior. Social media has given rise to the online platforms like Facebook, Instagram, YouTube, Twitter, where people can connect with each other, share thoughts and the content. This revolution of social media has given new way of gaining the information on the products as well as on services. But undoubtedly Social media has given the power to the consumer where content is generated by them only through online conversations so consumers are the one who play an important role in making or breaking the brand. The marketers try to understand the utilization of Social media by the consumers and their deciding pattern on the basis of the content showed there that can change their decision process.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social media, consumer behavior, online platforms, organisation.

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Creative Commons Attribution 4.0 and The Open Definition

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The latest study shows a strong connection between dysfunctional neurological (CNS) function and the growing number of immunological diseases. The pathogenesis of rheumatoid arthritis, also known as (arthritis), a chronic inflammatory systemic immune-mediated illness based on synovitis and is unreliable. Apart from the physical damage to the joints, RA is also linked with psychiatric comorbidities such as anxiety, depression, and Schizophrenia which enhances the possibility of neurodegenerative illnesses. The two types of immunity are governed by local and central neurological systems, which are activated by antibody-producing cells and the immunological barriers compounds they secrete. Extended soreness caused by joint disorders such as rheumatism (arthritis), osteoarthritis (OA), and implant loosening after surgery (AL) is an extremely severe symptom that affects an individual's flexibility and standard of existence. It has been demonstrated that the initiation and development of chronic pain syndromes are significantly influenced by the neuroimmune interaction.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Arthritis , Inflammation, Multiple Sclerosis, Neuroimmune

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Creative Commons Attribution 4.0 and The Open Definition

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Fashion, a vibrant and powerful sector, is going through a radical transition towards sustainability, with recycling playing a key part. The fashion industry is a significant contributor to global environmental degradation, making sustainability a critical concern. This paper explores the principles of recycling, reusing, and reducing within the context of sustainable fashion. By examining current practices and innovations, the study highlights how these strategies can mitigate the negative environmental impact of the fashion industry. The research delves into the lifecycle of fashion products, analyzing methods to extend their usability and reduce waste. Case studies of brands successfully implementing sustainable practices are presented, offering insights into the benefits and challenges of adopting a circular fashion model. Additionally, consumer behavior and its role in promoting sustainability through mindful purchasing are discussed. The findings suggest that integrating recycle, reuse, and reduce practices can significantly transform the fashion industry, fostering a more sustainable future. This paper aims to provide a comprehensive understanding of how these practices contribute to environmental conservation and encourage the adoption of sustainable fashion on a broader scale. Furthermore, the paper addresses the reduction aspect by evaluating approaches to minimize resource consumption and waste generation in fashion production and consumption. This includes advancements in sustainable materials, efficient production techniques, and the role of slow fashion in encouraging mindful consumer behavior. Through this exploration, the paper underscores the urgent need for a paradigm shift in how fashion is produced, consumed, and perceived, advocating for a collective effort towards sustainability that spans the entire value chain.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Recycle, Reduce, Reuse, consumer behavior, sustainability

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The article critically examines Digital Art work and Copyright, and sheds light on the potential and violation of Copyright in Digital Art through Non-Fungible Tokens (NFTs). The progressive phenomenon of Digital Art in the online world has changed the market for fine art. The article provides deep insights into laws applicable to Digital Art and Copyright Protection in the perspective of Indian law. It analyses possibility of violation of Copyright in digital art and its reconstruction, as established in Google v Oracle and OpenBSD. The invention of NFT offers terms to combat the imminent problems facing the digital art world, such as preserving ownership, authenticity, and market value. The adoption of NFT generates legal and regulatory barriers for artists, particularly in India where cryptocurrency and blockchain regulation is in a nascent stage. Blockchain technology automates a secondary market without a centralized custodian or intermediary for payments, thus bringing in legal issues between creators and consumers. A detailed analysis of Indian Copyright law, case laws, and digital payment websites depicts the challenges of NFTs in India, required legal reforms, and details on how blockchain technologies can be used for Copyright purposes; and how education of artists is vital for better understanding. Indeed, it is imperative for India to define its legal regime to Digital Art and NFT with regard to the nature of ownership, Copyright, digital identification of authentic art, and the ambit of respective legal regimes.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital Art, Non-Fungible Tokens (NFTs), Copyright Law, Blockchain Technology, Digital Ownership

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Aloe vera is a medicinal plant heavily used in the pharmaceutical industry, especially in cosmetics. The aloe plant cultivated in Indonesia to supply this industry is Aloe chinensis Baker. This research aims to determine the effects of Aloe vera gel extract on the effectiveness of sunscreen lotion. The steps included Aloe vera gel extraction, flavonoid absorption test, sun protection factor (SPF) value measurement, pH test, viscosity test, homogeneity test, and organoleptic evaluation. The extract was added to the base sunscreen formulation at five different concentrations. UV-Vis spectrophotometry at 290 - 320 nm was performed on the preparations to determine their SPF values. The highest SPF value of 10.21 was found in the 20% Aloe vera gel extract preparation. This value falls within the national industrial standard for sunscreen SPF value range of 2 - 60. The research showed that a higher Aloe vera gel extract concentration increased the pH, with the most elevated pH at 7.0 for the preparation containing 20% Aloe gel vera extract. This value also falls within the national pH standard for sunscreen of 4.5 - 8.0. The higher concentration of Aloe vera gel extract also increased the dispersive amount of the sunscreen preparation, with the highest value of 5 cm resulting from a 20% Aloe vera gel extract addition. This research showed that the increased addition of Aloe vera gel extract resulted in higher SPF value.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sunscreens, Aloe Vera, Coconut Oil, Vitamin E Capsule, SPF.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

“Bhartiya Sanskruti Aur Naitik Mulya: Vartaman Paripekshay Me Ghatte Naitik Mulya V Sanskar Ek adhyan "

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Creative Commons Attribution 4.0 and The Open Definition

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“Bhartiya Sanskruti Aur Naitik Mulya: Vartaman Paripekshay Me Ghatte Naitik Mulya V Sanskar Ek adhyan "

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Anderson model for investigating the temperature dependence of volume expansion of some Nanomaterials viz. Zirconia, Ag, ZnO, NiO and Al compounds have been used by Kumar et.al to obtain results in an approximately fair agreement with the available experimental data. The model used by them is based on the assumption that the Anderson-Gruneisen parameter does not depend on temperature. It is found that the volume thermal experimental data for nanomaterials under study can be reproduced satisfactorily with the help of Liu at.al, which takes into account the temperature dependence of the Anderson-Gruneisen parameter.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Nanomaterials, volume thermal expansion, Anderson- Gruneisen Parameter, Isobaric equation of state.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Electric vehicles (EVs) will be the next technological leap for urban mobility however the market penetration rate depends on several factors, including the major hurdle of limited EV charging stations. Equity is also an important factor - ensuring EV charging stations are widespread and available for all segments of the population. This paper outlines an innovative methodology to systematically determine the locations of EV charging stations while considering equity and efficiency to maximize accessibility and usage. The methodology has two levels. First, solving what is known as the Set Covering Location Problem (SCLP) by determining a threshold so that the distance (or travel time) between the consumer and the EV charging station will be less than or equal to a given value. This is a policy-based decision and provides a framework to ensure EV charging stations are ubiquitous and equitable. Second is solving the Maximum Covering Location Problem (MCLP) by considering a series of evaluation criteria to satisfy the demand of the early adopters. Following evaluation of the SCLP and MCLP, selected locations are aggregated by partitions to develop larger scale hubs. These hubs will not only include EV charging stations but will also function as connection points that integrate different modes of transportation. and policy supports in recent years, which leads to a larger demand of charging stations. Strategies about how to find the optimal location for charging facilities are urgently needed in order to further assist This paper describes application of GIS using Trans CAD software by combining SCLP and MCLP approaches to address both equity and efficiency.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords--electric vehicle, location, optimization, gis, charging stations, threshold

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Creative Commons Attribution 4.0 and The Open Definition

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Heart disease remains a leading cause of mortality worldwide, necessitating effective predictive models for risk assessment and early intervention. In this study, we conduct a comprehensive comparative analysis of machine learning (ML) algorithms for predictive modeling of heart disease risk. Leveraging a diverse dataset of patient demographics, clinical attributes, and medical history, we explore the performance of various machine learning techniques, including logistic regression, decision trees, random forests, support vector machines, and neural networks. We evaluate the models based on metrics such as accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC-ROC) to assess their predictive capabilities. Additionally, we investigate the interpretability and computational efficiency of each algorithm to identify strengths and limitations. Our findings provide insights into the relative efficacy of different machine learning approaches for heart disease risk prediction, offering valuable guidance for healthcare practitioners and researchers in developing robust predictive models for cardiovascular risk assessment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Heart disease, Machine learning (ML), medical history, decision trees, risk prediction

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Creative Commons Attribution 4.0 and The Open Definition