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Benzylideneanilines, the condensation products of benzaldehyde and aniline derivatives, have enjoyed significant success as optical metal ion sensors due to their ability to form stable metal complexes which exhibit distinct spectral features compared to the unbound compound. However, their use in aqueous media is limited by the hydrolytic susceptibility of the C=N moiety. Hence, an in-depth investigation into the hydrolytic degradation mechanism of a series of 2-aminophenol derived Nbenzylideneanilines was conducted wherein molecular modelling techniques were applied to elucidate the “step-by-step” transformation mechanism of these compounds from a fundamental perspective.
Lead, a well-known neurotoxin, remains environmentally abundant, arising from many natural and synthetic processes which encourage its environmental accumulation and hence, increased interactions with flora and fauna. Therefore, tremendous research efforts have been invested into developing various methods for its analysis and sequestration, however, affordability, sensitivity and selectivity still remain formidable challenges in this area and hence here is room for further exploration.
The majority of scientific discoveries remain confined to dissertations and peer review publications where they remain hidden from their possible industrial applications. Given the challenges offered by current global events like environmental pollution, climate change effects, and diseases, the need for more rapid transmission of scientific discoveries from the realm of postgraduate dissertations and research papers to industrial applications is most critical. Hence, the need for a clear road map, allowing the connection of both pure and applied scientific discoveries to their industrial applications is obvious. Of course, for this to be achieved, a clear understanding of the constituent steps of such a process is germane. Hence, this brief workshop aims to map a possible path for achieving the aforementioned central goal, using previous experiences and examples.
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.
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