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This paper aims to provide a critical review of water generation from atmospheric air by using desiccant materials. Over the past few years, there has been very high stress on water scarcity, especially in Asian and African countries. Because of this insecurity, many countries are focusing on their research in the field of water technologies. Water generation from atmospheric air by using desiccant materials is one of the techniques among the air-to-water generators (AWGs).

A structured and systematic literature review has been presented to observe and understand the past trend/patterns in the field of water generation from atmospheric air by using desiccant materials. To understand the water generation technologies based on desiccant materials, the research papers from the years 1987 to 2022 have been studied and included.

The properties of the different and most probable desiccant materials in the field of AWGs have been discussed. A detailed review of testing reports of collected water samples has also been presented in tabular form. Finally, the economic analysis has been done and future prospects have been discussed. It is also found that the capacity of solid desiccant materials to adsorb the water is less as compared to liquid desiccant materials. But, the adsorption capacity can be improved by using composite desiccant materials.

The uniqueness of this manuscript lies in the compiling and examination of the existed published research papers, including variables such as author, year and geographical location, experimental/simulative, types of desiccant material, type of setup, desiccant material type and quantity and type of concentrator. This manuscript provides critique to the empirical and conceptual research in AWG technologies and also stimulates researchers to explore the topic very carefully.

This study examines the social acceptance and potential for residential solar integration in Abu Dhabi to support sustainable urban innovation and prosperity. A survey of 216 Abu Dhabi residents analyzed four scenarios for incentivizing household solar panel adoption. Results demonstrate high interest and preference for governmental financial support mechanisms to spur solar integration. This research contributes an assessment framework and citizen engagement insights that could inform smart city development strategies focused on renewable energy transformation across the Gulf region. As urban centers like Abu Dhabi strive to enact their visions for economic diversification and environmental sustainability, understanding citizen perspectives on innovations like distributed solar will be critical to align technology advancement with societal needs and values. The methodology and findings of this Abu Dhabi case study provide a model to catalyze stakeholder buy-in for new energy solutions, with potential applications for other Gulf cities aiming to transition their energy systems and build integrative renewables infrastructure to power next-generation smart development. This solar integration acceptance research lays the groundwork for continued scholarly discourse and policymaker collaboration around smart cities in the Gulf that realize multidimensional progress for society, economy, and environment.

Contrary to the restrictive bivariate results of Saunders (1995), our findings from open‐economy multivariate models accord with the conventional IS/LM apparatus and decisively support the use of fiscal policy as a key macrostablization tool in the U.S. economy. We provide theoretical explanations for our results and produce empirical evidence for their robustness.

The electrodeposition of any metal over titanium substrates meets with many problems due to the formation of a non‐conductive layer of titanium oxide on the surface of substrates during the electroplating process. Trials were made to overcome these problems by the pre‐anodisation of titanium substrates in oxalic acid solution of concentration 100g/l, at high current density of 60‐95mA/cm^–2, and at ambient temperature. In these conditions, a thin, porous and conductive titanium oxide film can be obtained, which will then support electroplating processes. Rhodium metal was electrodeposited over the anodised titanium substrates from a bath consisting of Rh₂(SO₄)₃, 5.2g/l and H₂SO₄, 100g/l. At optimum conditions of electroplating, the rhodium electrodeposits were formed over the anodised titanium substrate with high adhesion, brightness and high current efficiency (92.05 per cent).

The relationship between stakeholders and organizations has been gaining more focus in strategic organizational management. The scenario of increased accountability required by society and by the competitive business environment itself demands ethical, fair, and sustainable practices from companies. In this sense, effective and fair stakeholder management becomes relevant. Thus, stakeholder theory proves to be a valid theoretical perspective for this challenge. In its conceptualization, stakeholder theory has pointed out different issues for strategic management practices, and how to treat the stakeholder fairly has been one of the concerns of the proponents of the theory (Bosse, Phillips, & Harrison, 2009). In this regard, principles of organizational justice have been incorporated into stakeholder management models. The authors argue that organizational justice, including its basic dimensions of distributive justice, procedural justice, and interactional justice, can positively impact the bottom line of organizations through synergy in value creation and by encouraging reciprocal behavior between the firm and stakeholders.

The purpose of this paper is to develop a reliable model that would predict the compressive strength of slurry infiltrated fiber concrete (SIFCON) modified with various supplementary cementitious materials (SCMs) using artificial intelligence approach.

This study engaged the artificial intelligence to predict the compressive strength of SIFCON through deep neural networks (DNN), artificial neural networks, linear regression, regression trees, support vector machine, ensemble trees, Gaussian process regression and neural networks (NN). A thorough data set of 387 samples was gathered from relevant studies. Eleven variables (cement, silica fume, fly ash, metakaolin, steel slag, fine aggregates, steel fiber fraction, steel fiber aspect ratio, superplasticizer, water to binder ratio and curing ages) were taken as input to predict the output (compressive strength). The accuracy and reliability of the developed models were assessed using a variety of performance metrics.

The results showed that the DNN (11-20-20-20-1) predicted the compressive strength of SIFCON better than the other algorithms with R² and mean square error yielding 95.89% and 8.07. The sensitivity analysis revealed that steel fiber, cement, silica fume, steel fiber aspect ratio and superplasticizer are the most vital variables in estimating the compressive strength of SIFCON. Steel fiber contributed the highest value to the SIFCON’s compressive strength with 16.90% impact.

This is a novel technique in predicting the compressive strength of SIFCON optimized with different SCMs using supervised learning algorithms, improving its quality and performance.

This study aims to establish an assessment model to measure big data readiness in the public sector, specifically targeting local governments at the provincial and city/regency levels. Additionally, the study aims to gain valuable insights into the readiness of selected local governments in Indonesia by using the established assessment model.

This study uses a mixed-method approach, using focus group discussions (FGDs), surveys and exploratory factor analysis (EFA) to establish the assessment model. The FGDs involve gathering perspectives on readiness variables from experts in academia, government and practice, whereas the survey collects data from a sample of selected local governments using a questionnaire developed based on the variables obtained in FGDs. The EFA is used on survey data to condense the variables into a smaller set of dimensions or factors. Ultimately, the assessment model is applied to evaluate the level of big data readiness among the selected Indonesian local governments.

FGDs identify 32 essential variables for evaluating the readiness of local governments to adopt big data. Subsequently, EFA reduces this number by five and organizes the remaining variables into four factors: big data strategy, policy and collaboration, infrastructure and human resources and data collection and utilization. The application of the assessment model reveals that the overall readiness for big data in the selected local governments is primarily moderate, with those in the Java cluster displaying higher readiness. In addition, the data collection and utilization factor achieves the highest score among the four factors.

This study offers an assessment model for evaluating big data readiness within local governments by combining perspectives from big data experts in academia, government and practice.

The European Society of Human Reproduction and Embryology (ESHRE) defines the act of travelling abroad to undergo reproductive medical treatments, including assisted reproduction technology (ART) treatments as cross-border reproductive care. The experiences of patients seeking affordable reproductive care abroad have been widely studied in the last decades (Bergman, 2011a, 2011b; Blyth, 2010; Bracewell-Milnes et al., 2016; Culley et al., 2011; Guerzoni, 2017; Hudson, 2017, 2020; Hudson & Culley, 2011; Kroløkke, 2014a, 2014b; Rodino, Goedeke, & Nowoweiski, 2014; Salama et al., 2018; Shenfield et al., 2010; Van Hoof, Pennings, & De Sutter, 2016; Whittaker, Inhorn, & Shenfield, 2019; Zanini, 2011). However, French women and couples pursuing ART treatments abroad have received little scholarly attention until now. In this chapter, we aim to address this gap in the literature with the results from an ethnographic study conducted with French women and couples who seek ART treatments in Barcelona (Spain) using data from participant observation and in-depth interviews. We begin by discussing the European reproscape, introducing French and Spanish ART legislation, to explain why a large number of citizens are excluded from the French system of reproductive governance and why they choose Spain as their destination. Then, we will discuss the obstacles faced during the reproductive journey, and the impacts of this journey on the embodiment of the treatments are explored, in order to show how French women and couples handle the physical, emotional and cultural displacements that their reproductive project entails.