There has been increasing progress in the Photoacoustic Spectroscopy (PAS) as a powerful analytical technique in material science. The PAS measures a sample absorbance spectrum directly with a controllable sample depth and with little or no sample preparation. The PAS analysis is applicable to nearly all kind of sample in a non-contact and non-destructive way in spectral range from UV to far infrared. In this work we present results of the application of PAS technique to the analysis and identification of biomolecules in a variety of biomaterials such as plant leaves, fruits and vegetables. Photoacoustic spectra were detected in a wide variety of samples and were associated carotenoids and flavonoids molecules in leaves, fruits and vegetables. The results suggest that PAS can become a rapid direct and efficient analytical method in material science, particularly in the very promising field of photochemistry and photobiology.
The adoption of cloud computing is increasing due to low costs of infrastructure, as well as having virtually infinite resources available for demand based scaling. The increasing interest in this topic, there is a continuous search for better ways to manage such infrastructures. One of the most recent steps was the development of Function-as-a-Service (FaaS). FaaS is a cloud computing service model where developers can deploy functions to a cloud platform and have them executed based on the triggering of events, or by making HTTP(S) requests. We propose an architecture for deploying FaaS platforms in hybrid clouds that can be composed by multiple cloud providers. This architecture enable privately deployed FaaS platforms to perform auto-scaling of virtual machines in a distributed infrastructure, while considering the scenario where the users of such platform are scattered around the globe. This allows the execution of requests in servers geographically located as close as possible from the client.
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