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In this chapter the potential to use water-based Trombe walls to provide heated water for building applications during the summer months is investigated. Design Builder software is used to model a simple single-story building with a south-facing Trombe wall. The effects of using different thermal storage mediums within the Trombe wall on building heating loads during the winter and building cooling loads during the summer are modeled. The amount of thermal energy stored and temperature of water within the thermal storage medium during hot weather conditions were also simulated. On a sunny day on Toronto, Canada, the average temperature of the water in a Trombe wall integrated into a single-story building can reach ∼57°C, which is high enough to provide for the main hot water usages in buildings. Furthermore, the amount of water heated is three times greater than that required in an average household in Canada. The results from this work suggest that water-based Trombe walls have great potential to enhance the flexibility and utility of Trombe walls by providing heated water for building applications during summer months, without compromising performance during winter months.

The malfunction variables of power stations are related to the areas of weather, physical structure, control and load behaviour. To predict temporal power failure is difficult due to their unpredictable characteristics. As high accuracy is normally required, the estimation of failures of short-term temporal prediction is highly difficult. This study presents a method for converting stochastic behaviour into a stable pattern, which can subsequently be used in a short-term estimator. For this conversion, K-means clustering is employed, followed by Long-Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) algorithms are used to perform the Short-term estimation. The environment, the operation and the generated signal factors are all simulated using mathematical models. Weather parameters and load samples have been collected as part of a data set. Monte-Carlo simulation using MATLAB programming has been used to conduct experimental estimation of failures. The estimated failures of the experiment are then compared with the actual system temporal failures and found to be in good match. Therefore, for any future power grid, there is a testbed ready to estimate the future failures.

Maturana and Varela (1980, p. 78f) provided the following definition of autopoiesis: “An autopoietic machine is a machine organized (defined as a unity) as a network of processes of production (transformation and destruction) of components that produces the components which: (i) through their interactions and transformations continuously regenerate and realize the network of processes (relations) that produced them and (ii) constitute it (the machine) as a concrete unity in the space in which they (the components) exist by specifying the topological domain of its realization as such a network.” This definition shows that for Maturana and Varela, autopoietic systems are systems that define, maintain, and reproduce themselves. The notion of machine that they employ in the definition might seem a bit misleading because we tend to think of machines as mechanistic and nonliving, but Maturana and Varela (e.g., 1987) in later publications have preferred to speak of autopoietic organizations.

Education of teachers and students is crucial for the implementation of Uganda’s governmental goals regarding educational gender equity and equality and the achievement of United Nations Strategic Development Goals (SDG), especially Goal #4 relating to education and Goal #5 mandating gender equality. This chapter begins with an overview of the nation, its geography, history and policies with regard to education and gender. This is followed by a discussion of pedagogy and especially gender responsive pedagogy and the barriers to implementing it. The chapter continues with the methods, goals and results of a qualitative study designed to assess the understanding of gender and its practices of the staff and teacher trainees in the School of Education at Makerere University and offers recommendations and conclusions stemming from the study. Most students and staff have basic understandings of concepts such as gender, sex, and sexual harassment, but are unfamiliar with the idea of gender responsive pedagogy. While there are graduate level courses that focus on gender, undergraduate students have limited contact with relevant instructors or coursework. Recommendations take into account that, given the structure of the university and the way prospective teachers are trained, such gender-affirming steps as affirmative action policies, a gender mainstreaming department within the Academic Registrar’s Office and the presence of a School of Gender and Women Studies at the university have little impact on teacher trainees or their trainers.

Chronicles and literary records show that Sri Lanka has been affected by various natural disasters from time to time in the past, as it is now. The sea surge/coastal flooding during King Kelani Tissa's reign, around 190 BC could have been a tsunami. A severe drought and famine known as Beminitiya Seya occurred during the intermittent reign of the Brahmin King Thiya (Tissa) and King Valagamba (89–77 BC). There are also references to droughts prior to this, namely, Akkakayika Seya (it is said that about 24,000 monks died and others left the country, and some of those who remained survived by eating kara leaves). Subsequently, this led King Valagamba to undertake to record the sayings of the Buddha (Tripitaka) for posterity. Duttagamini (161–137 BC), Ekanalika Seya during the reign of King Kunchanaga (187–189 AD) and others, none of which had been as severe as Beminitiya Seya. Apart from these extreme hazard events other incidents have been reported, including the flooding incidents during the British rule (National Disaster Management Plan, 2007).

Historically, the condition we now refer to as intellectual disability has been conceptualized using models that were extension of the medical model. Recent advances, however, have emphasized person-environment fit models of disability that view disability, intellectual, and other cognitive disabilities, as the lack of fit between a person’s capacities and the demands of the context. This chapter examines these shifts in conceptualization and the ways in which this changes how interventions are designed to provide support to enable people with intellectual disability to live, learn, work, and play in their communities. Such interventions and supports include issues pertaining to Universal Design for Learning, multi-tiered systems of supports, and the primacy of promoting the self-determination of people with disabilities. The importance of efforts to promote social inclusion is also discussed, as well as strategies to promote transition to adulthood. Authors from several countries provide examples of how these new intervention paradigms are being implemented across the world.