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Petroleum hydrocarbons are naturally occurring flammable fossil fuels used as conventional energy sources. It has carcinogenic, mutagenic properties and is considered a hazardous pollutant. Soil contaminated with petroleum hydrocarbons adversely affects the properties of soil. This paper aim to remove pollutants from the environment is an urgent need of the hour to maintain the proper functioning of soil ecosystems.

The ability of micro-organisms to degrade petroleum hydrocarbons makes it possible to use these microorganisms to clean the environment from petroleum pollution. For preparing this review, research papers and review articles related to petroleum hydrocarbons degradation by micro-organisms were collected from journals and various search engines.

Various physical and chemical methods are used for remediation of petroleum hydrocarbons contaminants. However, these methods have several disadvantages. This paper will discuss a novel understanding of petroleum hydrocarbons degradation and how micro-organisms help in petroleum-contaminated soil restoration. Bioremediation is recognized as the most environment-friendly technique for remediation. The research studies demonstrated that bacterial consortium have high biodegradation rate of petroleum hydrocarbons ranging from 83% to 89%.

Proper management of petroleum hydrocarbons pollutants from the environment is necessary because of their toxicity effects on human and environmental health.

This paper discussed novel mechanisms adopted by bacteria for biodegradation of petroleum hydrocarbons, aerobic and anaerobic biodegradation pathways, genes and enzymes involved in petroleum hydrocarbons biodegradation.

The purpose of this paper is to examine the existence of the day-of-the-week effect in the Indian stock market.

Generalized Autoregressive Conditional Heteroskedasticity (GARCH) (1, 1), Exponential GARCH (EGARCH) (1, 1) and Threshold GARCH (TGARCH) (1, 1) models are employed to examine the day-of-the-week effect in the Indian stock market for the period of 28 years from 3rd July, 1990 to 31st March, 2022.

The empirical results derived from the GARCH models indicate the existence of day-of-the-week effects on stock returns and volatility of the Indian stock market. The study reveals that all the days of the week are positive and significant in National Stock Exchange (NSE)-Nifty market returns. The findings confirm the persistence of ARCH and GARCH effects in the daily return series. Moreover, the asymmetric GARCH models show that the daily stock returns exhibit significant asymmetric (leverage) effects.

The results of this study established that the Indian stock market is not efficient and there exists an opportunity to the traders for predicting the future prices and earning abnormal profits in the Indian stock market. The findings of the study are important for traders, investors and portfolio managers to earn abnormal returns by cross-border diversification.

First, to the best of the authors' knowledge, this paper is the first to study the day-of-the-week effect in Indian stock market considering the most recent and longer time period (1990–2022). Second, unlike previous research, this study used GARCH models (GARCH, EGARCH and TGARCH) to capture the volatility clustering in the data.

The impact of workplace spirituality on organizational performance has continued to draw the attention of scholars and practitioners. Despite this enhanced attention, little is known about its the impact on academic performance. Addressing this gap in research, the purpose of this study is to empirically examine the impact of spirituality at workplace on academic performance among private sector higher education faculties in Delhi NCR.

This study outlines the existing literature on workplace spirituality and academic performance and its relationship. The scale created by Petchsawang and Duchon (2009) has been used to measure workplace spirituality, whereas academic performance of faculties was measured by the scale created by Abubakar et al. (2018). Pearson correlation and linear regression have been used to depict the degree of relation and impact of spirituality on academic performance.

This study provides evidence that by practicing workplace spirituality, the performance of higher education faculties can be positively and significantly impacted. The result reflects that in the presence of compassion, mindfulness, meaningful work and transcendence, the academic organizational performance of higher education institutes is improved as there will be an enhancement in their academic reputation, employability of the graduate students, research work, internationalization, Nobel-prized and field medals, research grant, resources, infrastructure and community services.

The results of this study are subject to certain limitations, which can be addressed in future studies. Only four dimensions of workplace spirituality, i.e. compassion, mindfulness, meaningful life and transcendence, are taken into consideration. Also, the impact has only be studied on academic performance of higher education institutions. The results of this study cannot be used in a generalized context as the framework of this study is based on higher education faculties in Delhi NCR.

The findings of this study would be a roadmap for higher education institutions or their faculties to improve performance with the assistance of spirituality at workplace.

Retention of academic personnel is critically necessary so that the excellence of higher education is maintained. It is the need of the hour for these educational institutions to be more focused on improving the teaching staff efficiency. This is made possible through the development of an atmosphere that installs spirituality. The empirical findings of this research will enable academics as well as managers to understand how and to what degree faculties experience spirituality at workplace and its association with different outcomes.

India's higher education higher education system is the third largest in the world, next to the USA and China. India's higher education system has expanded steadily, and India has over 1,000 universities as of 2020. Workplace spirituality for academicians is under-researched and neglected by organizations. It may further benefit those interested in employment learning.

Due to stern management policies and increased community attentiveness, sustainable supply chain management (SSCM) performs a vast component in endeavor operation and production management. Sustainable circular supplier selection (SCSS) and evaluation presented the environmental and social concerns in the fields of circular economy and sustainable supplier selection. Choosing the optimal SCSS is vital for organizations to persuade SSCM, as specified in various researches. Based on the subjectivity of human behavior, the selection of ideal SCSS often involves uncertain information, and the Pythagorean fuzzy sets (PFSs) have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the multi-criteria decision-making (MCDM) procedure. Here, a framework is developed to assess and establish suitable suppliers in the SSCM and the circular economy.

This paper introduced an extended framework using the evaluation based on distance from average solution (EDAS) with PFSs and implemented it to solve the SCSS in the manufacturing sector. Firstly, the PFSs to handle the uncertain information of decision experts (DEs) is employed. Secondly, a novel divergence measure and parametric score function for calculating the criteria weights are proposed. Thirdly, an extended decision-making approach, known as PF-EDAS, is introduced.

The outcomes and comparative discussion show that the developed method is efficient and capable of facilitating the DEs to choose desirable SCSS. Therefore, the proposed framework can be used by organizations to assess and establish suitable suppliers in the SCSS process in the circular economy.

Selecting the optimal sustainable circular supplier (SCS) in the manufacturing sector is important for organizations to persuade SSCM, as specified in various research. However, corresponding to the subjectivity of human behavior, the selection of the best SCS often involves uncertain information, and the PFSs have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the MCDM procedure. Hence, manufacturing companies' administrators can implement the developed method to assess and establish suitable suppliers in the SCSS process in the circular economy.