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Vector-borne diseases have since the 17th century been the leading cause of death by disease more than any other causes combined, even preventing development in the tropics (Gubler 1998). Of all insect vectors, Aedes aegypti proves to be the deadliest as it is the primary vector of the four most notorious vector-borne diseases – chikungunya (chik-V), Zika (Zik-V), dengue fever and yellow fever viruses. Control of the spread of Aedesborne diseases is primarily reliant on the control of the vector responsible for their spread. Traditionally, vector control relied on environmental hygiene and the elimination of breeding sites (Gubler 1998), shifting only in the 1980s to the use of synthetic chemicals in the form of carbamate, organochloride, organophosphate and pyrethroid insecticides (Norris, et al. 2015). However, the evolution of Aedes aegypti resistance to synthetic chemicals have made control of the spread of the vector and its diseases increasingly difficult. This led to the exploration of innovative and alternative methods in the control of Aedes aegypti.
Numerous organic chemicals, either directly manufactured or formed as byproducts of other processes, are released into the environment. Once there, many cause adverse effects on environmental and human systems. Of particular concern are long-lasting impacts from those organic pollutants that remain in the environment for long periods of time. The development of appropriate management strategies to address this problem requires knowledge of the environmental distributions of these pollutants.
Economic development theorists ((Schumpter 1942), (Romer, 1994), (Solow, 1956)) have established the theoretical constructs of scientific and technological developments as foundations to innovative solutions in the form of products, processes and services to long-term socio-economic development and prosperity to high-end economies around the world. It is through the pervasiveness of these innovations within markets which then spurs a sustainable social transformation and long term economic growth within nations.
In parallel and distributed computing environments, task scheduling, where the basic idea is minimizing time loss and maximizing performance, is an absolutely critical component. Scheduling in these environments is NP-hard, so it is important that we continue to search and find the most efficient and effective ways of mapping tasks to processors. One such effective approach is known as Ant Colony Optimization (ACO). This popular optimization technique is inspired by the foraging behavior of ants in their colonies to find the shortest paths between their nests and food sources.
Opening of Conference Space Orientation and Ice Breaker Activities in the Gather.Town space
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