Volume 6 | Issue 4 |

 Abstract

The shift to remote work has significantly impacted various aspects of employee well-being and performance. As organisations continue to navigate through this transition, it is crucial to understand the implications it has on job satisfaction and mental health. In this study, we aim to explore the multifaceted effects of remote work on employee performance, job satisfaction, and mental health. We will analyse existing literature and conduct primary research to provide valuable insights into the challenges and opportunities presented by remote work. By shedding light on these impacts, we hope to offer practical recommendations for organisations to effectively support their remote workforce and enhance overall employee well-being. The shift to remote work has not only transformed the way employees carry out their tasks but has also altered the work environment and dynamics. One of the primary considerations of remote work is its influence on employee performance. Research indicates that remote work can lead to increased productivity due to reduced distractions and the flexibility it offers. However, it's also important to consider the potential drawbacks, such as feelings of isolation and difficulty in maintaining work-life balance.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Remote Work, Well-Being and Performance, Loneliness and Stress, Autonomy and Flexibility

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Contracts bloomed into their fullness during the laissez fair era when the concept of volitional freedom of the individual reached its zenith. Then it became the accepted legal norms that two individuals were free to enter into any contract and agree to any terms thereunder, and they would be given effect to. In its essence, contract is that concept of law and in that way, a unique concept of law which permits two individual to make law for themselves; parties are free to enter into and agree to, any terms and undertake any obligations under a contract, and once they do so, they have got to abide by them. The terms of contract and obligations accepted there under are enforceable.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

A STUDY OF STANDARD FORM OF CONTRACTS

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Theory of Decreasing Responsibility thus states that a person may start his financial life with low assets and high liabilities, and therefore may have highest need for insurance at that stage of his life. But as he build up his wealth and his liabilities gets reduced after paying up for loans if any over the years, his need for insurance reduces gradually. He may then reach a point where his requirements for life insurance becomes little to no insurance as thus now he will be able to get self-insure using his accumulated wealth over the period of his life. This stimulates the people to adopt "Buy the Term and Invest the Difference" strategy while making investment in life insurance products. To validate this theory X-curve is used.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Decreasing Responsibility, Life Insurance, Buy Term & Invest difference.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The primary goal of this work is to investigate and construct a fingerprint-based passport identification and verification system based on microcontroller matching, which is often utilized in fingerprint approaches. The method consists of deleting fingerprint feature elements from the fingerprint sensor unit and then comparing fingerprints based on how many times the two fingerprints in question have been linked. When they do, the passports' validity for individual verification is confirmed. It's a wonderful method for selecting and positively identifying a specific person. We can use technology to improve security in every location.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fingerprint Recognition, Biometric Authentication, Cryptography Authentication.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the age of information, communication, and technology, cybersecurity has become a complex and fast changing security challenge (ICT). Cyber threats appear to be infiltrating every nook and cranny of national economies and infrastructure as ICT dependence spreads around the world; in fact, the increased use of computers and Internet-based networking has been accompanied by an increase in cyberattack incidents targeting individuals, businesses, and governments. Certain governments are increasingly viewing ICT as both a battleground for strategic warfare and a strategic asset to be leveraged for national security purposes. This paper examines the role of cybersecurity in the present security discussion, deepening the analysis by looking at the cybersecurity area from India's perspective.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cyber Security, Information Technology

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The migration phenomenon, particularly from rural to urban areas, is a significant determinant shaping demographic dynamics globally and in the Indian context. In India, rural-urban migration has profound socio-political and economic implications, impacting population size, composition, and spatial distribution. This research focuses on analysing the drivers, experiences, and consequences of migration from Umla Village to Leh Town, situated in the Ladakh region of India, contributing to the discourse on rural-urban migration in the country. Through a mixed-method approach combining qualitative and quantitative methodologies, the study aims to provide a comprehensive understanding of migration dynamics and their impacts on both sending and receiving communities. The findings reveal that a significant proportion of migrants from Umla Village have successfully integrated into the labour market of Leh Town, with 30.6% securing employment in the government sector and 50.3% in the private sector. However, 19.1% of migrants remain unemployed upon relocation, indicating potential challenges in accessing suitable employment opportunities in the urban environment. Additionally, disparities in demographic characteristics between Umla Village and Leh Town are evident, with differences in dependency ratios and educational attainment levels. The reasons motivating migration vary, with economic opportunities, education, healthcare, better infrastructure, and environmental factors such as water shortages playing significant roles. These findings have several implications for policy interventions aimed at addressing the needs of migrants and promoting sustainable development. Enhancing rural livelihood opportunities, strengthening access to education and healthcare services in rural areas, and investing in urban infrastructure in Leh Town are crucial steps to support local development, accommodate the growing influx of migrants, and ensure their well-being in urban environments.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Migration; Rural-Urban Migration; Ladakh: Trans-Himalayan region; Leh; Households Migration

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: It has been known for the evidences from trends of work participation rate that the female work participation rate is declining over a long period of time. The scholars have attributed this decline to increase in family income. Therefore, the argument is that the since the family income is sufficient, the women need not work anymore. This paper tries to analyse this argument with the help of employment and unemployment data from NSSO's Quinquennial surveys. Women are not a homogenous category. Their participation in work is determined by caste, class, culture and geography. Therefore, decline in women's work participation rate can not be explained as a result of the, merely, improvement in the economic status of their household. There are also the indications of existence of economic distress among women and the indications for existence of economic distress exceeds the indications for existence of economic prosperity in poor regions of India by a huge margin. Gender norms become very complex when various factors like geography, caste, class, urbanism etc. overlap each other, increasing the complexity in the relationship between women's work participation and their economic status. For instance, the poor women are not likely to quit work if the aggregate benefits of working exceed the value of their domestic responsibilities and fulfil their working aspirations including good quality work. There are several such possibilities that are likely to emerge in diverse socio-economic and cultural settings. Therefore, there is an ample need of region specific studies to account the disappearance of women workers from labour market.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

female work participation rate, employment, unemployment, wpr in India, women's work participation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A well-equipped library is the heart of any educational institution and also helpful for the growth of a nation's economy by providing knowledge and information on time. A library should be equipped with the modern technology to store the digital information in a wide number which can be retrieved quickly by various users from anyplace. Better library services can be achieved on time in collaboration with the modern technology i.e. Cloud Computing. Cloud computing technology offers great opportunities for libraries with accessibility anywhere, anytime and on any device. Cloud computing allows libraries to avoid locally hosting multiple servers, equipment and constantly dealing with hardware failure, software installation, up-gradation, compatibility issues etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Library, Cloud Computing, e-library, digital data.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The gap between the needs of the industry and aspirations of the academic community is very large and it is widely held that knowledge, skills, and resourcefulness of people are critical to sustain economic development and social activity in a knowledge-driven society. Given the current high-paced growth and dynamic investment climate in India, the demand for knowledge workers with high levels of technical and soft skills is increasing day by day. Institutions of the 21 century resemble a corporate organization. Universities are miniature industries generating human resources. Human resources with positive attitude towards life and work and germane skills for advanced knowledge economy are becoming important in today's high momentum, globalised society. Life skills, also termed as psycho- social skills, empower individuals to flourish and prosper in the competitive world and adapt to the environment in which they live ir. It is important that we need to mobilize skills such as personal management and people management which help us to steer our life towards more positive behavior and well-being. This paper is designed to throw light on various aspects of Life Skills Training, which is an emerging concept in the higher education sector.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Life Skills, People management, Adaptive and positive behavior, Participatory learning

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Creative Commons Attribution 4.0 and The Open Definition

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The focus of this research lies in a thorough examination of the Classification Methods employed in Machine Learning, with special attention given to their practical applications and accompanying difficulties. Classification, being a fraction of supervised learning, involves feeding input data into predetermined goals. It has wide-ranging significance across multiple fields such as credit decision-making, medical diagnosis, and targeted marketing [1]. Different algorithms have been customized to carry out time series classification, each demonstrating varying levels of precision based on the dataset under consideration. As a result, it becomes crucial to take into account a broad range of algorithms whenever faced with a time series classification problem. To streamline this procedure, the adoption of an automated platform capable of methodically exploring algorithmic possibilities and hyperparameters is suggested, potentially leading to significant time gains, particularly during initial exploration stages [2]. Potential future development includes platforms equipped with time series classification abilities projected to emerge in the future

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Classification, machine learning, Naive Bayes Classifier, Decision tree, Logistic Regression

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Creative Commons Attribution 4.0 and The Open Definition