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In wireless sensor network (WSN), user authentication plays as a vital role in which data sensing, as well as sharing, will be spoiled by hackers. To enhance user security, user authentication must be focused.

In previous works, for secured authentication, Enhanced User Authentication Protocol (EUAP) is presented. On the other hand, the user free password generation is permitted in the previous technique.

Here, password leakage may cause a malevolent user's contribution to the WSN environment. By presenting the Flexible and Secured User Authentication Protocol (FSUAP), this is solved in the presented technique in which secured as well as reliable sharing of data contents via unsecured wireless sensor devices was accomplished.

The foremost objective of the present technique is to device the protocol that would verify the users beforehand letting them access the sensor devices situated in various sites. The use of a sensor device could be reduced in a significant way. Three-factor authentication protocols are presented in place of two-factor authentication protocol in the presented technique that could deal with and safeguard the environment from a brute force attack in an effective manner.

This research explores the effect of e-learning Moodle-based system usability on students' learning outcomes with the possible intervening role of teacher's behavior and online engagement.

In this research, the authors followed a quantitative methodology and a deductive research approach. Data were collected from 433 students at different study levels and academic specializations in higher education institutions (HEIs) in Oman. The data have been analyzed using partial least squares structural equation modeling via Smart-PLS.

The findings of this research show that e-learning system usability affects students' learning outcomes. Moreover, the relationship between these two variables is mediated by teacher behavior and students' online engagement.

This study is important as it adds to the understanding of the role of e-learning system usability in predicting student outcomes. From practical perspectives, especially during the spread of the COVID-19 pandemic, this study also helps practitioners at private HEIs use e-learning systems more efficiently and effectively to improve students' engagement and learning outcomes.

This research examined the factors affecting several types of student engagement, namely agentic, behavioral, emotional and cognitive engagement. Specifically, it examined the effect of e-learning system usability on student engagement and explored teacher behavior's possible intervening impact on this relationship.

Data were collected from 418 students studying at different specializations at Omani private academic institutions. This study employed a quantitative methodology and utilized the Smart-PLS for data analyses.

The findings showed that e-learning system usability influenced significantly and positively agentic, behavioral and cognitive engagement. However, the link between e-learning system usability and emotional engagement was not significant. Moreover, teacher behavior mediated the relationship between e-learning system usability and the four types of engagement.

This study improves one’s understanding of how the interaction of e-learning system usability and teacher behavior affects several aspects of student engagement. It also helps higher education administrators and policymakers by exploring the influential effects of e-learning systems usability and teacher behavior on facilitating students' engagement.

The dynamics of the PV microgrid (PVMG) system are highly nonlinear and uncertain in nature. It is encountered with parametric uncertainties and disturbances. This system cannot be controlled properly by conventional linear controllers. H⁻ controller and sliding mode controller (SMC) may capable of controlling it with ease. Due to its inherent dynamics, SMC introduces unwanted chattering into the system output waveforms. This paper aims to propose a controller to reduce this chattering.

This paper presents redesign of the SMC by modifying its sliding surface and tuning its parameters by employing water-evaporation-optimization (WEO) based metaheuristic algorithm.

By using this proposed water-evaporation-optimization algorithm-double integral sliding mode controller (WEOA-DISMC), the chattering magnitude is diminished greatly. Further, to examine which controller between H8 controller and proposed WEOA-DISMC performs better in both normal and uncertain situations, a comparative analysis has been made in this paper. The considered comparison parameters are reference tracking, disturbance rejection and robust stability.

WEO tuned DISMC for PVMG system is the contribution.

The purpose of the study is to conduct an in-depth study of employee performance in connection with compensation, job satisfaction and the work environment of employees at the PT Bank Rakyat Indonesia (Persero) Tbk.

This study was performed at the PT Bank Rakyat Indonesia (Persero) Tbk, which operates in Indonesia, and included all employees of the different branch offices in Sumatera, Jawa, Kalimantan, Sulawesi, Bali and Jayapura.

Compensation does not directly affect employee performance but working environment does directly influence employee performance at the PT Bank Rakyat Indonesia (Persero) Tbk. There is the power of compensation and working environment on job satisfaction and employee performance at the PT Bank Rakyat Indonesia (Persero) Tbk.

The difference between this research and previous ones is the application of compensation influence testing on employee job satisfaction and performance within one bank in Indonesia.

It is now well-established that good water quality is associated with economic prosperity, reduced incidence on public health and the good functioning of the various ecosystems found in our environment. Water contamination is mostly related to both diffused (agricultural lands and geologic rock degradations) and point sources of pollution. Mauritius has many water resources which depend solely on precipitation for their replenishment. Water parameters which are of relevance include total dissolved solids (TDS), temperature, pH, electrical conductivity, turbidity, dissolved oxygen, dissolved and particulate organic carbon and major cations and anions. The traditional methods of analysis for these parameters are mostly using electrical and optical methods (probes and sensors in the field), while chemical titrations, Flame AAS and High-Performance Liquid Chromatography techniques are carried out in the laboratory. Image Classification techniques using neural networks can also be used to detect the presence of contaminants in water. In addition to basic water quality parameters, the field sensors range have been extended to cover important major ions and can now be integrated with Artificial Intelligence (AI)-based models for the prediction of variations in water quality to better protect human health and the environment, reduce operation costs of water and wastewater treatment plant unit processes.

This paper aims to test for spatial convergence in financial inclusion across major Indian states and union territories.

After initially building an Index of Financial Inclusion (IFI) for major Indian states between 2003 and 2016, exploratory spatial data analysis (ESDA) is employed to draw inferences about mean and variance of IFI. The paper then seeks to confirm the ESDA results through spatial panel regression techniques. Finally, spatial results are correlated with results from aspatial convergence measures.

The study finds that there is no evidence of spatial convergence in financial inclusion over the study period, suggesting that those states that were relatively less financially included remained so through the study period. The study also asserts the relevance of certain important determinants, namely, per capita income, infrastructure, industrialization and gender.

This study has two limitations. First, only banking institutions are considered in measuring financial inclusion. Second, due to lack of a consistent indicator of gender participation across states, we had to employ sex ratio as a proxy.

The study suggests that policies to expand financial inclusion in Indian states, especially those with low inclusion levels are likely to benefit neighbouring states also, thereby accelerating the financial inclusion drive across states.

The study is a first in the Indian context to estimate the spatial dependence of financial inclusion and provides relevant implications for policymakers and bankers to target financial inclusion schemes in backward states.

This paper aims to review the critical challenges and factors influencing the successful adoption of electronic learning (e-learning) systems in higher educational institutions before and during the current propagation of the coronavirus disease 2019 (COVID-19) pandemic.

This study undertook a literature review concerning the in-depth revision of previous studies published in 2020 and 2021. A total of 100 out of 170 selected research papers were adopted to identify and recognise the factors restricting the application of e-learning systems.

The findings determine and illuminate the most challenging factors that impact the successful application of online learning, particularly during the wide propagation of the COVID-19 pandemic. The review of the literature provides evidence that technological, organisational and behavioural issues constitute significant drivers that frontier the facilitation of the e-learning process in higher educational institutions.

The current paper suggests a guide for managers and scholars in educational institutions and acts as a roadmap for practitioners and academics in the educational field and policymakers as this research spotlights the significant factors challenging the e-learning process before and during the pandemic crisis.

The provided in-depth literature review in this research will support the researchers and system designers with a comprehensive review and recent studies conducted before and during the COVID-19 pandemic considering the factors limiting the e-learning process. This paper formulates a valuable contribution to the body of knowledge that will assist the stakeholders in the higher educational institutions' context.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-02-2022-0085.

In Southeast Asia, the renewable energy produced from hydropower systems has significant potential. Therefore, adequate development is needed to prevent future energy-related crises. This study, therefore, aims to determine the variations effects in geometry and the geometrical factors on turbine performance.

The developed aspects are selected to determine the blade shape, its number and multistage requirements. The study was conducted in 3D simulation, with Ansys software used to calculate a series of computational fluid dynamic problems. The aspect ratio applied in this study utilized the ratio of the overall diameter of the rotor height (D / H), which is 1.

The results showed that the highest C_p-max value, number of blades and stages were 0.2, two and three, respectively. Furthermore, these attributes combined to improve the performance of hydroturbines.

The research was fully conducted using numerical simulation, which requires sustainable research in the form of laboratory experiments. Also, pioneer experiments were conducted using benchmarking to ensure the results obtained are reliable.

Hydropower is one of the best renewable energy sources in Indonesia with a large potential in the archipelago and tropical countries due to rivers and various water sources. The current generated is a useful reference for Savonius design.

The originality of this study is to examine the three aspects of the geometry of the rotor, such as the number and shape of blades, as well as the stages in the same boundary conditions. Therefore, the comparison of the effects of changes in geometry on turbine performance is more acceptable and complete compared to the pioneer works, which focused on a parameter. This research combines several aspects to determine the effect of rivers and various water sources on the hydroturbine.

Today with the internet expansion, social media has also been identified as a factor in evolutions. Social media is the title used to refer to the set of sites and tools that have been born and developed in the space created by modern media such as communication networks, the internet and mobile phones. The effects of emerging phenomena, such as social media on human health, especially mental health, are important. As the effects of social media on users mental health is unclear, and the evidence in this field is contradictory, this study aims to determine the role of social media on mental health.

The current study was a review conducted in 2020. According to keywords, an extensive search was conducted on Web of Science, PubMed, Scopus, Google Scholar, Magiran and SID databases. In total, 501 articles were obtained. The articles were screened in three stages. Finally, out of 501 evaluated articles, 50 cases were carefully assessed and included in the study.

The findings showed that social media has negative and positive effects on mental health. Negative effects included anxiety, depression, loneliness, poor sleep quality, poor mental health indicators, thoughts of self-harm and suicide, increased levels of psychological distress, cyber bullying, body image dissatisfaction, fear of missing out and decreased life satisfaction. Positive effects included accessing other people’s health experiences and expert health information, managing depression, emotional support and community building, expanding and strengthening offline networks and interactions, self-expression and self-identity, establish and maintain relationships.

The impact of social media on mental health can be considered as a double-edged sword. The important thing is to be able to reduce the negative effects of social media on mental health and turn it into an opportunity by implementing appropriate strategies and actions and to increase and strengthen the positive effects.