Multi-objective optimization of ternary blends of Algal biodiesel-diesel-1-decanol to mitigate environmental pollution in powering a diesel engine using RSM, ANOVA, and artificial bee colony.

This research presents an in-depth examination that utilizes a hybrid technique consisting of response surface methodology (RSM) for experimental design, analysis of variance (ANOVA) for model development, and the artificial bee colony (ABC) algorithm for multi-objective optimization. The study aims to enhance engine performance and reduce emissions through the integration of global maxima for brake thermal efficiency (BTE) and global minima for brake-specific fuel consumption (BSFC), hydrocarbon (HC), nitrogen oxides (NOx), and carbon monoxide (CO) emissions into a composite objective function. The relative importance of each objective was determined using weighted combinations.

Landscape assessment of the cities in the state of Maharashtra: first step towards air quality management (AQM) and strategic implementation of mitigation plans.

Objective Of The Study: This study aims to understand the need for landscape assessment of the 18 non-attainment cities in the state of Maharashtra, to understand and rank the cities according to the need and necessity for strategic implementation of air quality management. This air quality management is a National Clean Air Programme initiative to curb the air pollution level in all the highly polluted Indian cities by 20-30% till 2024.

Methodology: The ranking and selection of the cities consisted of a two-phase approach including (a) desk research and (b) field interventions and stakeholders' consultations.

Impact of leachate and landfill gas on the ecosystem and health: Research trends and the way forward towards sustainability.

Globally, a whopping increase in solid waste (SW) generation and the risks posed by climate change are major concerns. A wide spread practice for disposal of municipal solid waste (MSW) is landfill, which swells with population and urbanization. Waste, if treated properly, can be used to produce renewable energy.

Hospitality and tourism industry amid COVID-19 pandemic: Perspectives on challenges and learnings from India.

COVID-19 outbreak has presented unprecedented circumstances before the fragile tourism and hospitality industry. The highly infectious novel coronavirus continues to thwart the sector and raises serious questions about the present and future survival of the sector. The research addresses two important concerns, first, pertains to the major challenges that hospitality and tourism industry faces amid current conditions; and second relates to the vital learnings for the industry.

Inverse Gaussian and its inverse process as the subordinators of fractional Brownian motion.

In this paper we study the fractional Brownian motion (FBM) time changed by the inverse Gaussian (IG) process and its inverse, called the inverse to the inverse Gaussian (IIG) process. Some properties of the time-changed processes are similar to those of the classical FBM, such as long-range dependence. However, one can also observe different characteristics that are not satisfied by the FBM.