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Elderly suicide is an index of more widespread disorder and discontent among the elderly, and furthermore is a potentially preventable cause of death. This study used coroner's inquest records of 200 elderly in Cheshire who killed themselves, and in which their unexpected deaths attracted a verdict of suicide. Sociodemographic characteristics, clinical aspects of the suicidal process and health care contact before death are reviewed. Unlike most available studies, cases of unexpected death in which an open verdict was given were not included in this study, which covered a 13 year period. The findings are interpreted and compared to the currently available literature on suicide in the elderly. Late life suicide is characterised by less warning, higher lethality and greater prevalence of depression and physical illness. However, suicide risk often remains undetected. All suicidal behaviour in the elderly should be taken seriously by psychiatric and primary care services, in order to reduce suicide rates in the elderly.

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In smart grids, a hybrid renewable energy system that combines multiple renewable energy sources (RESs) with storage and backup systems can provide the most cost-effective and stable energy supply. However, one of the most pressing issues addressed by recent research is how best to design the components of hybrid renewable energy systems to meet all load requirements at the lowest possible cost and with the best level of reliability. Due to the difficulty of optimizing hybrid renewable energy systems, it is critical to find an efficient optimization method that provides a reliable solution. Therefore, in this study, power transmission between microgrids is optimized to minimize the cost for the overall system and for each microgrid. For this purpose, artificial bee colony (ABC) is used as an optimization algorithm that aims to minimize the cost and power transmission from outside the microgrid. The ABC algorithm outperforms other population-based algorithms, with the added advantage of requiring fewer control parameters. The ABC algorithm also features good resilience, fast convergence, and great versatility. In this study, several experiments were conducted to show the productivity of the proposed ABC-based approach. The simulation results show that the proposed method is an effective optimization approach because it can achieve the global optimum in a very simple and computationally efficient way.