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In the twenty-first century, the use of fossil fuels has increased drastically because the necessity of energy is increasing day by day which affects the world’s economy. The solar energy (photo-thermal energy conversion) system is the most economical and eco-friendly alternative source. To increase the use of domestic as well as commercialization purpose, the authors have reviewed this paper on the solar water heater along with its structural mechanism for energy enhancement and to create easier stair steps for climbing on the green world dream.

In this study, nanotechnology has remarkably built its own use for extending thermal efficiency by using some gradual experiments. It is a phenomenon, like nanofluid (as a working fluid for a direct solar collector), nanocoating (on the surface of a solar-evacuated tube by using the chemical vapor deposition/physical vacuum deposition/sol–gel technique) and nanorod-based solar collector tube.

This invention gives greater efficiency rather than the conventional systems, but also this advancement is not too much supported in a low- temperature environment also, we can consider the poor light absorption characteristics of the pure water (Bencic, et al., 2000).

The basic idea and understanding of this phenomenon to improve solar collecting performance for obtaining a high working-fluid temperature are discussed in this paper.

The learning outcomes after reading and analysing this case study are dealing with the challenges of family business; learning the importance of succession planning; accepting the next generation and the role of the first generation; and understanding the decision-making skills and roles of the generations in family business.

Khushboo Pouch and Packaging was the first-generation initiative of Mr Bhavesh Udeshi. Mitesh Udeshi, son of Bhavesh Udeshi and the business’s sole successor, joined the firm in 2019 after graduating with a Master of Business Administration degree. Mitesh had desired to join his family firm since he was a teenager and aid the business with emerging business ideas. As a fresher, he applied his newly acquired theories to the company’s operations. He initiated several changes in the company; however, his actions were ineffective. He introduced modifications to the business premises, production units, marketing tactics, accounting department and product line extension for two years. Mitesh had intended to restructure his traditional firm in rational and innovative ways, but none of his plans had come to fruition. He failed because the firm’s change management was confronted with denial, rage, bargaining and melancholy from both his father and the employees. Amidst non-acceptance and inconsistency, he found himself in a quandary. He had two options: remain in the family firm and persevere in making his ambitions a reality or resign, find a job and embark on a new path. Unfortunately, leaving would indicate surrendering defeat after a two-year struggle.

Programmes: Master of Business Administration (MBA), Bachelor of Business Administration (BBA) programmes, MBA in Entrepreneurship and small businesses, and Post graduate diploma in management (PGDM).

Teaching notes are available for educators only.

CSS 3: Entrepreneurship

The purpose of this paper is to consider the effect of the Prevention of Money Laundering Act (PMLA), 2002 on the property rights of third parties, by evaluating whether the interpretation of the scheme of the PMLA, 2002 results in a deprivation of rights, by virtue of the provision for the provisional attachment of property.[AQ3] In doing so, this paper attempts to consider two sub-categories of third parties that stand affected by §5 of the PMLA, 2002.

Primarily the authors analyse diverging judgements and case law across various high courts to evaluate the position of law with regards to attachment of property. To reach a precise legal conclusion, the authors consider the composite scheme of the PMLA, 2002 in their analysis.

It has been concluded that there is a clear lack of judicial cohesion in the interpretation of the PMLA, 2002, and in the absence of a judgement by the Supreme Court of India, enforcement authorities have failed to correctly identify the boundaries of the offence of money laundering, resulting in a dangerous deprivation of rights.

This paper fills a vacuum of detailed scholarship on anti-money laundering provisions in India, while also being contemporaneously relevant, as it considers the effects of the PMLA, 2002 on bona fide economic transactions and secured creditors.

The Prevention of Money Laundering Act (the PMLA/the Act) was enacted in India in 2002. Since then, Indian courts have had to deal with two interconnected issues owing to the nature of the offence of money laundering (ML) as conceived in the Act itself. The first issue relates to the independence of the offence of ML from the conviction of the underlying offence; and the second is the manner in which the PMLA operates – whether it does so retrospectively or prospectively. The purpose of this paper is to delve into these questions as there is no definitive and binding answer provided for by the courts. It aims to provide normative answers to the above-mentioned questions to enable better functioning of the Act.

This research paper examines international conventions relating to ML, reports by inter-governmental bodies, the statutory language of the Act and judgements rendered by courts.

The paper goes on to conclude that for fulfilling the purpose of the Act, the offence of ML must be considered separate from the conviction of the predicate offence. As a result, it also concludes that the Act must apply in instances where the predicate offence was committed prior to its inclusion in the Act’s Schedule if the act of ML occurs after such inclusion.

There does not exist any scholarly literature addressing the judiciary’s interpretation of the Act regarding the said two issues in a systematic fashion. Added to this is the fact that there exist uncertainty and ambiguity because of conflicting judgements. By analyzing international instruments, the phraseology of the Act and contradictory case-law, this paper attempts to find definitive solutions to the said two questions in a purposive manner.

Road traffic emissions are generally believed to contribute immensely to air pollution, but the effect of road traffic data sets on air quality (AQ) predictions has not been fully investigated. This paper aims to investigate the effects traffic data set have on the performance of machine learning (ML) predictive models in AQ prediction.

To achieve this, the authors have set up an experiment with the control data set having only the AQ data set and meteorological (Met) data set, while the experimental data set is made up of the AQ data set, Met data set and traffic data set. Several ML models (such as extra trees regressor, eXtreme gradient boosting regressor, random forest regressor, K-neighbors regressor and two others) were trained, tested and compared on these individual combinations of data sets to predict the volume of PM_2.5, PM₁₀, NO₂ and O₃ in the atmosphere at various times of the day.

The result obtained showed that various ML algorithms react differently to the traffic data set despite generally contributing to the performance improvement of all the ML algorithms considered in this study by at least 20% and an error reduction of at least 18.97%.

This research is limited in terms of the study area, and the result cannot be generalized outside of the UK as some of the inherent conditions may not be similar elsewhere. Additionally, only the ML algorithms commonly used in literature are considered in this research, therefore, leaving out a few other ML algorithms.

This study reinforces the belief that the traffic data set has a significant effect on improving the performance of air pollution ML prediction models. Hence, there is an indication that ML algorithms behave differently when trained with a form of traffic data set in the development of an AQ prediction model. This implies that developers and researchers in AQ prediction need to identify the ML algorithms that behave in their best interest before implementation.

The result of this study will enable researchers to focus more on algorithms of benefit when using traffic data sets in AQ prediction.