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In addition to agriculture, energy production, and industries, potable water plays a significant role in many fields, further increasing the demand for potable water. Purification and desalination play a major role in meeting the need for clean drinking water. Clean water is necessary in different areas, such as agriculture, industry, food industries, energy generation and in everyday chores.

The authors have used the different search engines like Google Scholar, Web of Science, Scopus and PubMed to find the relevant articles and prepared this mini review.

The various stages of water purification include coagulation and flocculation, coagulation, sedimentation and disinfection, which have been discussed in this mini review. Using nanotechnology in wastewater purification plants can minimize the cost of wastewater treatment plants by combining several conventional procedures into a single package.

In society, we need to avail clean water to meet our everyday, industrial and agricultural needs. Purification of grey water can meet the clean water scarcity and make the environment sustainable.

This mini review will encourage the researchers to find out ways in water remediation to meet the need of pure water in our planet and maintain sustainability.

This work proposes a framework that attempts to explain the connection between the dimensions of consumer perceived corporate social responsibility (social, environmental, economic), firm trustworthiness and firm reputation, using market level of development as a moderating factor.

Mexico and Spain were selected as the emerging and developed markets; a cross-cultural study with 1173 consumers (521 from Mexico and 652 from Spain) was undertaken. In each country, participants evaluated one of two well-known companies (one making consumer products and one providing retail services). The hypotheses were tested through SEM.

The results showed that, in the emerging market, perceived environmental actions did not influence consumers' perceptions and, in the developed market, perceived social actions had no effect.

The study identifies two mechanisms through which consumers' perceptions of a company's CSR influence company reputation, offering evidence that the level of development of a country can have a moderating effect on how the mechanisms operate.

The purpose of the study is to consolidate a set of indicators for assessing design and construction phase strategies for reducing operational greenhouse gas (GHG) emission. They will also estimate the quantity of operational GHG emission and its associated reduction over assessment period.

Five steps framework adopted include defining the purpose of the indicators and selection of candidate indicators. Others are defining the criteria for indicator selection, selecting and defining the proposed indicators. Relevancy, measurability, prevalence, preference, feasibility and adaptability of the indicator were the criteria used for selecting the indicators.

The study consolidated public transport accessibility, sustainable parking space, green vehicle priority, proximity to amenities and alternative modes as indicators for design and construction phase strategies. Transportation accounting and carbon footprint (CFP) and their associated reduction are indicators for operational GHG emission while plan and policy is an indicator for policymakers and stakeholders.

The study shows that providing correct indicators for assessing direct and indirect GHG emission with easy to obtain data is essential for assessment of built environment. Stakeholder can use the indicators in developing new rating systems and researchers as an additional knowledge. Policy makers and stakeholders can use the study in monitoring and rewarding the sustainability and activities of building related industries and organisations.

The study was conducted at the Center for Energy and Industrial Environmental Studies (CEIES) Universiti Tun Hussein Onn Malaysia and utilises existing rating systems and tools, Intergovernmental Panel on Climate Change (IPCC) and GHG protocol reports and guides and several other standards, which are open for research.

The variance between the winning bid and the owner's estimated cost (OEC) is one of the construction management risks in the pre-tendering phase. The study aims to enhance the quality of the owner's estimation for predicting precisely the contract cost at the pre-tendering phase and avoiding future issues that arise through the construction phase.

This paper integrated artificial neural networks (ANN), deep neural networks (DNN) and time series (TS) techniques to estimate the ratio of a low bid to the OEC (R) for different size contracts and three types of contracts (building, electric and mechanic) accurately based on 94 contracts from King Saud University. The ANN and DNN models were evaluated using mean absolute percentage error (MAPE), mean sum square error (MSSE) and root mean sums square error (RMSSE).

The main finding is that the ANN provides high accuracy with MAPE, MSSE and RMSSE a 2.94%, 0.0015 and 0.039, respectively. The DNN's precision was high, with an RMSSE of 0.15 on average.

The owner and consultant are expected to use the study's findings to create more accuracy of the owner's estimate and decrease the difference between the owner's estimate and the lowest submitted offer for better decision-making.

This study fills the knowledge gap by developing an ANN model to handle missing TS data and forecasting the difference between a low bid and an OEC at the pre-tendering phase.

The purpose of this study was to determine the degree to which Kouzes and Posner’s Transformational Leadership Model is being practiced by school principals as perceived by their teachers in Jordanian schools. Means, standard deviations, t-tests, and one-way analysis of variance (ANOVA) were utilized in this study. Results indicated that transformational leadership is being moderately practiced and applied by Jordanian principals. Furthermore, statistical results indicated that gender and school type had an influence on teachers’ perceptions in favor of female teachers and basic schools respectively. Finally, there were no significant differences among the three experience level groups of teachers (new hiring, middle career, and long experience) in their perceptions of each dimension of Kouzes and Posner’s model.

Health risks associated with coronavirus disease 2019 (COVID-19) have severely affected the financial stability of airline companies globally. Recapturing financial stability following this crisis depends heavily on these companies’ ability to attain efficient and productive operations. This study uses several empirical approaches to examine key factors contributing to carriers sustaining high productivity prior to, during and after a major recession. Findings suggest, regardless of economic conditions, that social distancing which requires airline companies in the Asia Pacific region to fly with a significant percentage of unfilled seats weakens the performance of those companies. Furthermore, efficient operations do not guarantee the avoidance of productivity declines, especially during a recession.

The purpose of the study is to create substantial awareness for safety precautions and safety parameters to lessen occupational injuries and accidents. Utilization of safety culture phenomenon with its fundamental understanding has imperative consideration for safety compliance and participation behaviors. Thoughtful aim of this study is the extension of knowledge related to safety orientation particularly in primary health-care workforce.

Only slips and trips accounted for 40% of workplace injuries in nursing professionals. To identity, the data were collected through structured surveys from nursing professionals of public and private hospitals in Pakistan. To evaluate that data for current study, standardized regression coefficients (parameter estimation) with 95% confidence interval and 5,000 bootstrap samples were subjected. Confirmatory factor analysis was also used to measure the validity of study constructs.

The potential findings of present study have assured the presence of safety culture at workplace has potential to influences negative safety outcomes. In addition, safety compliance and safety participation as mediation paths would be the strengthening addition to safety model. These findings have extended the existing understanding of compliance and participation behaviors from single factor to two different constructs of safety orientation. This safety culture model offers an evidence-based approach to nursing practitioners and nursing managers with implications for nurse’s safety, education and training.

Occupational injuries and accidental happenings have adversely affecting the quality of care, patient’s recovery spam, satisfaction level and psychological health in care agents. This study has proposed a comprehensive model for understanding the mechanism of possible and reliable safety implications at health-care units. Prior knowledge has limitation to the inevitable effects of occupational injuries only rather than focusing on corrective actions against this phenomenon.

This paper aims to examine the influence of big data (BD) on human resource management (HRM). It defines how these data can be a useful tool in the decision-making process of companies’ human resources to obtain a sustainable competitive advantage.

This paper emphasizes the need to develop a holistic approach to emphasize these relations. Starting from these observations, the document proposes empirical research employing Eurostat data to test the benefits of BD in HRM decisions that optimize the relationship between training, productivity, and well-being.

The findings estimate HRM decisions and their impact in a broader macroeconomic and microeconomic perspective.

BD research is emerging as a crucial discipline in human resources. To overcome this problem, the paper develops an analysis of the literature on cleaner production and sustainability context; it creates a conceptual framework to clarify whether the existing studies consider the growing intensity of BD on human resources.

We propose in this paper a novel reliable detection method to recognize forged inpainting images. Detecting potential forgeries and authenticating the content of digital images is extremely challenging and important for many applications. The proposed approach involves developing new probabilistic support vector machines (SVMs) kernels from a flexible generative statistical model named “bounded generalized Gaussian mixture model”. The developed learning framework has the advantage to combine properly the benefits of both discriminative and generative models and to include prior knowledge about the nature of data. It can effectively recognize if an image is a tampered one and also to identify both forged and authentic images. The obtained results confirmed that the developed framework has good performance under numerous inpainted images.

The purpose of this study is to critically analyze the Financial Compensation Funds being accumulated by Islamic Banks of Bangladesh in credit-based transactions. In this connection, due to the evolved liquidity crisis amidst the COVID-19, industry opinions are observed that suggest including the compensations or the donation funds directly into the bank's income account. But the Sharīʿah does not permit it. Such alternative proposals of using compensation or donation fund during crises are scrutinized under Sharīʿah principles to come to a logical conclusion.

The approach followed in the study is textual and discourse analysis through descriptions of ideal Sharīʿah-compliant methods for handling late payment of credit and comparison with the industry practices.

It is observed that there are conceptual gaps in the industry as is reflected in the Islamic Banking Guideline of Bangladesh. The funds collected from the debtor due to late payment are named as compensation (Ta‘wīḍ) whereas the nature of the transaction is a donation (Tabarru'). The misconception can lead to various Sharīʿah non-compliant activities later with the funds. The proposals brought out in the industry to use such compensation/donation funds during a crisis are a consequence of this. The proposals of using such funds for banks' purposes in any situation are not supported by Sharīʿah principles and are against the Islamic banking philosophy.

The study is very relevant to the current crisis of COVID-19 in the domestic Islamic Banking Industry and also instrumental for the future guidance to stick to the Sharīʿah principles in managing compensation or donation funds by the Islamic Banks.