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Despite a lot of developments in the financial markets, financial illiteracy is a main concern across the world and is directly associated with faulty financial decisions making. The situation is very alarming among a socially or economically marginalized section of society as they cannot afford to pay finance professionals for their wealth management. The objective of the study is to understand the level of financial literacy as well as its determinants among the marginalized section of society living in hilly areas.

The study is descriptive as well as empirical in design and based on primary data collected from the 300 scheduled tribe households of Himachal Pradesh a hilly state of India.

The study observed that financial literacy is very low among the scheduled tribes living, and their level of education, income, family system and Internet accessibility have a significant impact on their financial scores.

The outcome of the paper may be useful to design customized awareness programs, and financial products focusing on scheduled tribes living in far-flung areas so that they can get the benefits of market-driven financial products.

Financial awareness can help scheduled tribes in their financial inclusion thereby reducing poverty and inequality through informed financial decisions. Thus, the outcome if implemented can help in achieving the objective of inclusive growth.

No specific work has been done to explore the level as well as the determinants of financial literacy among the scheduled tribe households living in hill areas. This paper will fill this gap and contributes to the existing work on financial literacy and inclusion.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2023-0008

The COVID-19 pandemic has changed education ideology across the globe. The education system has drastically shifted from traditional ways of teaching toward online teaching mechanism. This study aims to conduct an analysis of factors influencing the adoption of the e-teaching methodology of learning by students amidst the present pandemic crisis.

The study is based on primary data and a survey was conducted using a semi-structured questionnaire with a sample size of 216 respondents from various universities in India. Cronbach’s alpha and Pearson correlation, the goodness of fit, ANOVA and multiple linear regression analysis was applied.

Furthermore, the results obtained stated that attitude and usefulness proved to be statistically significant as the two variables contribute a statistically significant number of predictions to the practice of adoption of the e-teaching methodology by students. Additionally, it was found out that students there is a strong requirement from the institute and teachers’ part to motivate the students to take interest in e-teaching and students should be given an opportunity to develop a sense of empowerment so, that they can feel comfortable and can discuss their query’s confident during the e-classes.

This study was completed within a time constraint. So, the sample size is small i.e. 216 and variables, which influence the adoption of the e-teaching methodology of learning by students are not exhaustive. There might be many other variables, which are still unexplored and should have been part of this study.

This study will be beneficial for the education sector to better understand the impact of e-teaching methodologies on the learning and development of students in a more practical way.

The study adds value to the literature in the domain of online teaching and the level of e-learning from students’ perspectives in the era of this new pandemic crisis. Then, will be beneficial for not only the students but also will help the institution and teachers to understand the mindset of the students in detail and can improve the way knowledge is delivered to the students by the means of e-classes in a sustainable way.

The purpose of this paper is to describe how emerging open standards are replacing traditional industrial networks. Current industrial Ethernet networks are not interoperable; thus, limiting the potential capabilities for the Industrial Internet of Things (IIoT). There is no forthcoming new generation fieldbus standard to integrate into the IIoT and Industry 4.0 revolution. The open platform communications unified architecture (OPC UA) time-sensitive networking (TSN) is a potential vendor-independent successor technology for the factory network. The OPC UA is a data exchange standard for industrial communication, and TSN is an Institute of Electrical and Electronics Engineers standard for Ethernet that supports real-time behaviour. The merging of these open standard solutions can facilitate cross-vendor interoperability for Industry 4.0 and IIoT products.

A brief review of the history of the fieldbus standards is presented, which highlights the shortcomings for current industrial systems in meeting converged traffic solutions. An experimental system for the OPC UA TSN is described to demonstrate an approach to developing a three-layer factory network system with an emphasis on the field layer.

From the multitude of existing industrial network schemes, there is a convergence pathway in solutions based on TSN Ethernet and OPC UA. At the field level, basic timing measurements in this paper show that the OPC UA TSN can meet the basic critical timing requirements for a fieldbus network.

This paper uniquely focuses on the specific fieldbus standards elements of industrial networks evolution and traces the developments from the early history to the current developing integration in IIoT context.

The main purpose of this paper is to investigate two key elements of localization and mapping of Autonomous Underwater Vehicle (AUV), i.e. to overview various sensors and algorithms used for underwater localization and mapping, and to make suggestions for future research.

The authors first review various sensors and algorithms used for AUVs in the terms of basic working principle, characters, their advantages and disadvantages. The statistical analysis is carried out by studying 35 AUV platforms according to the application circumstances of sensors and algorithms.

As real‐world applications have different requirements and specifications, it is necessary to select the most appropriate one by balancing various factors such as accuracy, cost, size, etc. Although highly accurate localization and mapping in an underwater environment is very difficult, more and more accurate and robust navigation solutions will be achieved with the development of both sensors and algorithms.

This paper provides an overview of the state of art underwater localisation and mapping algorithms and systems. No experiments are conducted for verification.

The paper will give readers a clear guideline to find suitable underwater localisation and mapping algorithms and systems for their practical applications in hand.

There is a wide range of audiences who will benefit from reading this comprehensive survey of autonomous localisation and mapping of UAVs.

The paper will provide useful information and suggestions to research students, engineers and scientists who work in the field of autonomous underwater vehicles.