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The purpose of this paper is to investigate conditional and unconditional lifetime sequence of wireless sensor networks (WSN) that have many important practical applications. A significant limitation for WSN is its short lifetime due to the limited capacity of the battery. Renewable energy can significantly extend the lifetime of WSN. In this paper, we investigate the whole sequence of lifetimes of every sensor in WSN, as different application scenarios have different requirement on how many sensors can die until the WSN is no longer functional.

Linear programming formulation was used to investigate both the conditional and unconditional lifetime sequence of WSN. The lifetime sequences of WSN without and with differ levels of solar power were studied.

This investigation of lifetime sequences discovered three interesting phenomena: the sensors that die first are on the peripheral of the network, rather close to the base station; multiple sensors tend to die simultaneously; and the lifetimes of sensors that die later can be extended by renewable energy much more significantly than those that die early, which is very good news to applications that can tolerate the death of a fraction of sensors.

In this paper, the first optimization formulation for maximizing both unconditional and conditional lifetime sequences of WSNs with renewable energy sources was provided. Only the conditional lifetime sequence has been investigated in a previous work, but this method runs n-times faster than the previous work, with n being the number of nodes in the WSN.

Emotions are recognised as central to all aspects of human experience. Yet, in some cultures and across various professional domains, there is a tendency to suppress emotions and limit their perceived significance. The development of research in neuroscience has allowed for a better understanding of how different parts of the brain interact and function, connecting emotions and cognition. However, despite the advancement in neuroscience, many leaders continue to embrace data-driven decision making, distancing the role of emotions in these critical processes.

This study seeks to better understand how school leaders define leadership and to reflect on the role of emotions and emotion management in two collectivist transitional societies: Liberia and Palestinian Arabs in Israel. A total of 14 school principals (seven from each country) were interviewed for this study. A Restorative Practices framework, combining a focus on cognitive (rational) and emotional (affective) components was used to analyse the data.

The results indicate that a high level of emotional involvement when discussing decisions related to individual students and an effort to suppress emotions when discussing professional decisions related to teachers or the institution. Differences were found in the way emotions were handled in relation to school level (elementary vs. high school), gender, stakeholder (students, teachers) and the principal’s development stage (experience). The Liberian participants perceived a conflict between western culture and the local culture with regard to newly implemented educational policies.