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This paper introduces hydroinformatics, a discipline that has strong ancestry in the computational sciences and artificial intelligence, as a way forward for water network management and maintenance in particular. Within hydroinformatics, geographic information systems and data mining (artificial neural networks and genetic algorithms specifically) are the new technologies with probably the widest applicability to the water industry. This paper introduces basic concepts of hydroinformatics and data mining, explains the process by which they may be applied and describes basic technologies with their advantages and disadvantages.

Investigates the use of a genetic‐algorithm program for analysing the optimal opportunity‐based maintenance problem for real‐sized systems. Analyses the performance of the genetic operators with a generation replacement genetic algorithm, using a hypothetical system consisting of 50 maintenance‐significant parts. Due to the size of the problem and excessive running time, finds that the steady‐state genetic algorithm gives the best compromise between solution quality and running time and was subsequently implemented for this problem. Pays special attention to the sensitivity of solutions to the maximum number of maintenance groups considered by the genetic algorithm. Finds that better solutions were identified for larger numbers of groups but increasing complexity costs more in terms of the computer time required. Also concludes that the improvement in the objective function value decreases with the increase in the number of maintenance groups.

Describes the development of two genetic algorithm (GA) programs for cost optimization of opportunity‐based maintenance policies. The combinatorial optimization problem is formulated and it is shown that genetic algorithms are particularly suited to this type of problem. The theoretical basis and operations of a standard genetic algorithm (SGA) are presented with an iterative procedure necessary for implementation of the SGA to least‐cost part replacement. However, an SGA used in an iterative manner may limit the global search capability of the evolutionary computing technique and may lead to suboptimal solutions. To avoid this problem, an improved GA which considers more than two groups simultaneously is devised. This model is based on the permutation representation and genetic sequencing operators originally developed for the travelling salesman problem. The same example used with the SGA confirmed that the improved GA can bring additional savings.

This paper deals with a new formulation of the optimal operation of electrical distribution networks problem in regular working state. In the new deregulated energy market providing reliable and economical service to customers is a primary task. The multiobjective formulation of the reconfiguration and compensation problem used in this paper considers as a primary object also the minimisation of the load nodes unavailability (UA) expressed in probabilistic terms. Therefore, the objectives to be attained through the optimisation strategy are: minimal power losses operation, minimum UA of the load nodes, load balancing among the HV/MV transformers, and voltage profile regularisation. The application carried out uses an evolutionary algorithm and a particular normalisation technique for the multiple objectives formulation. In the considered automated network, the remote control of capacitor banks and tie‐switches is possible and their layout is the optimisation variable. After a brief description of the optimal reconfiguration and compensation problem for automated distribution networks, the most recent papers on the topic are reported and commented. Then the problem formulation and the solution algorithm are described in detail. Finally, the test results on a large MV distribution network are reported and discussed.

Life, in many ways, is simply grief waiting to happen. It is the emotions of death – simultaneously something ordinary and universal as well as extraordinary and unique – that we try to capture and make sense of with the notion of ‘grief’. The so-called ‘corona pandemic’ that has spread throughout the world during the past 2–3 years is in many ways a crisis of global proportions that, at its very core, is caused by and concerned with the fear of death and dying from a deadly disease. So far, six million people have died in the corona pandemic. The ways we grieve and mourn our dead are indicative and informative of the society/culture in which we live and the values, norms and ideas that prevail within it. This chapter deals with the emotion and practice of grief as it is particularly related to experiences of death and dying in a contemporary Western corona-ridden society. I explore challenges relating to the display of emotions, ritual practice and ceremonial closure – as well as the paradoxical way in which the corona pandemic has inaugurated a new great disappearing act of death and grief at a time when death and grief have been paramount experiences for many affected people. Today, we know more about grief than at any other time in human history, but the question remains whether we have become any better at accepting it, dealing with it and living with it.

Corporate social responsibility (CSR) has become increasingly significant in the sport industry, and athletes, leagues, teams and sport organizations are actively engaging in socially responsible activities. The popularity of CSR has attracted the attention of scholars in the field of sport management. However, little research has investigated the overview and evolution of the extant literature on CSR research in sport management. Therefore, this study aims to explore the knowledge structure of CSR in sport management and provide implications for future research.

This work investigated and examined bibliographic data of scientific documents (N = 234) indexed in the Web of Science (WoS) database from 2008 to 2021. The Bibliometrix R package and VOSviewer software were used to analyze and visualize the knowledge map of CSR research in sport management.

The bibliometric analysis found that CSR has become a critical topic in the field of sport management. Most studies focus on the implementation of CSR activities by sport organizations and their impact on consumers' reactions and behaviors.

The findings of the current paper provide an efficient overview of the evolution of CSR in sport management and offer avenues for future scientific endeavors.

Even though trust is known for improving supply chain performance (SCP), previous studies have overlooked the investigation of its dimensions. Limited studies exist on the variations of the influence of trust dimensions in agribusiness supply chain relationships. This study examined the influence of trust dimensions on SCP in a developing country's context.

A cross-sectional study design was used to collect from 204 farmers and 192 traders (396 respondents) using a multistage sampling approach. Structural equation modeling was employed to analyze the hypothesized relationships.

Pooled sample results show that integrity and competence were the trust dimensions with significant effects on SCP, whereas competence was significant across different supply chains and markets, integrity and benevolence were only significant along fresh chains and in the contract market.

The extent of application of this study's findings is limited to situations similar to those of tomato and soybeans value chains in developing countries.

The paper contributes to a better understanding of the influence of trust dimensions on SCP across supply chains in different market typologies in agribusiness relationships in a developing country's context.

Notes that the most important fixed asset of any water distribution company is its pipe network. However, once installed it is difficult to manage not only because it is buried in the ground but because management of potable water networks encompasses complex activities concerned with supply. In addition, privatized UK water utilities are required to balance often conflicting demands from their shareholders, regulators and customers. Maintenance, including rehabilitation, replacement, and/or expansion of existing networks to meet current and future demands, is the major element of potable water distribution management. Introduces hydroinformatics as a way forward for water network management and maintenance in particular. Looks at elements such as geographic information systems and artificial neural networks. Outlines the scope for improvement to the new technologies for maintenance of water networks together with a wide range of possible applications.