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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.

There is an urgent need to develop climate-smart agrosystems capable of mitigating climate change and adapting to its effects. Conventional agricultural practices prevail in Mauritius, whereby synthetic chemical fertilizers, pesticides and insecticides are used. It should be noted that Mauritius remains a net-food importing developing country of staple food such as cereals and products, roots and tubers, pulses, oil crops, vegetables, fruits and meat (FAO, 2011). In Mauritius, the agricultural sector faces extreme weather conditions like drought or heavy rainfall. Moreover, to increase the crop yields, farmers tend to use 2.5 times the prescribed amount of fertilizers in their fields. These excess fertilizers are washed away during heavy rainfall and contaminate lakes and river waters. By using smart irrigation and fertilization system, a better management of soil water reserves for improved agricultural production can be implemented. Soil Nitrogen, Phosphorus and Potassium (NPK) content, humidity, pH, conductivity and moisture data can be monitored through the cloud platform. The data will be processed at the level of the cloud and an appropriate mix of NPK and irrigation will be used to optimise the growth of the crops. Machine learning algorithms will be used for the control of the land drainage, fertilization and irrigation systems and real time data will be available through a mobile application for the whole system. This will contribute towards the Sustainable Development Goals (SDGs): 2 (Zero Hunger), 11 (Sustainable cities and communities), 12 (Responsible consumption and production) and 15 (Life on Land). With this project, the yield of crops will be boosted, thus reducing the hunger rate (SDG 2). On top of that, this will encourage farmers to collect the waters and reduce fertilizer consumption thereafter sustaining the quality of the soil on which they are cultivating the crops, thereby increasing their yields (SDG 15).

This chapter presents a spiritual or wisdom-based approach to development, its rationale, conceptualization, methods and examples of applications. The politics of being proposes that societies explicitly make the fulfillment (‘being’) of all its members – humans and non-humans – their main goal, which should guide the development and implementation of public policies. It stands in opposition to the current development paradigm focused on economic growth or ‘having’, and rooted in a set of modern western values – individualism, materialism, reductionism, anthropocentrism, etc. By nourishing our relational nature, the politics of being can address the root causes of the meta crisis the world is facing, reconciling human flourishing with sustainability and supporting the cultural evolution that is needed. It proposes a dialogue between wisdom and science, the two main areas of knowledge, to guide its design and implementation. It conceptualizes ‘being’ as the actualization of our truest ‘being’ and our highest ‘being’. This means that societies should provide the right conditions for their human members to express themselves and fulfil their healthy aspirations, as well as to develop human virtues and qualities. Wisdom traditions and spiritual teachings offer relevant insights into the nature of human fulfilment and the process of spiritual evolution that can be applied to societies. They emphasize the cultivation of spiritual values and qualities such as love, peace, happiness, life, mindfulness, mystery and the understanding of interconnectedness. In recent decades, these qualities have become areas of scientific research and been at the core of social change and development initiatives. Together they can serve as the foundations of the politics of being and allow to identify actionable public policy agendas in many sectors mainly based on existing examples.

Réal Plourde helped to oil the Couche-Tard/Circle K machine for Alain Bouchard, speeding up the pace of acquisitions and smoothing out the integration of newly acquired chains. As an engineer and MBA graduate with extensive international experience, he brought considerable added value to Alain Bouchard's team. Among other things, he helped to train many of the organization's senior executives, including the current CEO, Brian Hannasch, who joined the company in 2001, working closely with Réal Plourde for nearly a decade before replacing him as Head of Operations in 2011 and ultimately taking over from Alain Bouchard as CEO in 2014.

Although officially retired for some years now, Réal Plourde continues to sit on the boards of several organizations. He also chairs the board of an engineering firm employing more than 2,000 engineers. His Foundation has received several awards for its social and community contributions.

In this chapter, the relationship between Taoist principles and the United Nations' initiative on harmony with nature is explored. This chapter discusses Taoism's teachings on the unity of man and nature, and how they have influenced the United Nations' programmes. Additionally, this chapter examines the Sustainable Development Goals's (SDG's) Pyramid, which draws connections between harmony and happiness, and how they align with Taoist ideals. The author emphasizes that Taoism and the SDGs share a common goal of promoting harmony and happiness. Taoism teaches that the natural world is a harmonious system that humans should strive to understand and respect. The United Nations' initiative on harmony with nature similarly emphasizes the importance of respecting the natural world and promoting sustainable practices. This chapter sheds light on the significant connections between Taoist principles and the United Nations' initiatives. It encourages readers to adopt a more holistic perspective on the relationship between humans and the natural world and to apply these principles in their daily lives.

The production of news through artificial intelligence (AI) is a reality in many countries, including the United States, where two leading companies in this area are based. The purpose of this explanatory bibliographic research is to discuss who or what should bear the ethical responsibility for automated writing in a newsroom, considering that codes of ethics address only the conduct of people. This chapter compares the Code of Ethics of the National Federation of Brazilian Journalists with the code used in the United States and highlights examples of news released with incorrect information, produced by algorithms, and published by US news organizations. Facing the current informational scenario, the ethical responsibility of the automated news must be attributed to the media, represented in the figure of the editor. Such a conclusion is motivated by the fact that neither the algorithm nor the person who developed it takes part in the decision-making process of publishing an article or not.

This study employs Stein Rokkan's methodological approach to analyse state formation in the Greater Middle East. It develops a conceptual framework distinguishing colonial, populist and democratic pacts, suitable for analysis of state formation and nation-building through to the present period. The framework relies on historical institutionalism. The methodology, however, is Rokkan's. The initial conceptual analysis also specifies differences between European and the Middle Eastern state formation processes. It is followed by a brief and selective discussion of historical preconditions. Next, the method of plotting singular cases into conceptual-typological maps is applied to 20 cases in the Greater Middle East (including Afghanistan, Iran and Turkey). For reasons of space, the empirical analysis is limited to the colonial period (1870s to the end of World War 1). Three typologies are combined into one conceptual-typological map of this period. The vertical left-hand axis provides a composite typology that clarifies cultural-territorial preconditions. The horizontal axis specifies transformations of the region's agrarian class structures since the mid-19th century reforms. The right-hand vertical axis provides a four-layered typology of processes of external intervention. A final section presents selected comparative case reconstructions. To the authors' knowledge, this is the first time such a Rokkan-style conceptual-typological map has been constructed for a non-European region.

Nuclear energy investments contribute significantly to the energy independence of countries. This situation helps countries to develop both economically and socially. Therefore, countries need to develop strategies to increase their nuclear energy investments. However, radioactive waste generated in nuclear reactors is one of the most important disadvantages of this type of energy. Due to this situation, the wastes generated must be disposed of effectively for nuclear energy investments to be effective. In this study, it is aimed to create optimal strategies for the effective waste managements generated in nuclear power plants. Within this framework, four different balanced scorecard perspectives are considered as the criteria. In the analysis process, Analytical Hierarchy Process (AHP) methodology is taken into consideration. It is identified that learning and development is the most critical factor for the effective radioactive waste management created in nuclear power plants. On the other side, internal factors are the second most important criterion in this framework. Hence, it is understood that nuclear energy investors should give priority to the technological development for effective waste management in nuclear power plants. With the help of these technological improvements, the wastes can be disposed more successfully. As a result, environmental sustainability can be provided much easily.