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A DFT AND EXPERIMENTAL STUDY OF THE HYDROLYTIC DEGRADATION BEHAVIOUR AND SPECTROSCOPIC PROPERTIES OF SOME BENZYLIDENEANILINES

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.

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Day 3
  —  
1:35 pm

Development of a Simple Automated Image-based Sun Position Tracking Algorithm

At the inception of automated solar tracking in the 1970’s, geometric architectures with pair(/s) of solid-state photo-sensitive devices were constructed and used to detect the sun’s position. As an alternative in recent years, cameras have been used to capture and process live sky images to detect the sun’s position. When the sky is cloudy however, both approaches are prone to errors and sometimes require human intervention which tend to reduce the trackers’ economic viability [1].

Day 2
  —  
1:05 pm

Environmental modeling of organic pollutant distribution in Jamaica

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.

Day 4
  —  
9:40 am

A token-based smart contract management (TSM) DApp for vehicle loans

Loan management is a complex process that coordinates agreements among multiple stakeholders in such a way that each party benefits from the arrangement [2]. At the core of our work there is the Asset Token (ATK) which is a compliant ERC-20 token and used for all financial transactions in our proposed system. With this token in our private blockchain network [1], stakeholders can interact in a digital market. Our work includes a Non-Fungible Vehicle Token (VTK) and represents the physical vehicle. Users has access to the ownership of this NFT which prevents fraudulent transactions.

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