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In recent years there has been a resurgence in interest in psychedelic assisted psychotherapy (PAP) [1]. Initial scientific research into the utilization of these compounds were eventually suspended due to concerns related to increasing recreational use of psychedelics and their association with the rise of the “counterculture movement” in the United States [2]. However, the use of psilocybin and other psychedelics have shown promise in the treatment of mental illnesses. The efficacy of this modality of treatment has been demonstrated through clinical trials and other studies in the management of a number of mental illnesses, including some treatment resistant cases [3].
Pesticide usage in agriculture has occurred for centuries and led to significant positive outcomes in food production and noticeable reduction in crop losses. However, pesticide usage on food crops often results in the presence of toxic pesticide residues on food produce, which is the main route of exposure to pesticides in humans. The toxicity of the pesticide residues can potentially cause debilitating effects to major human organs and body systems. Pesticide residue analysis addresses the issue of pesticide residues in foods by screening and quantifying the levels of pesticides in food commodities.
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.
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.
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].
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