No abstract

In this work, the multifunctional potential of four 3-acetylcoumarin derivatives was studied. The derivatives were significantly active against bacteria Staphylococcus aureus, Pseudomonas aeoginosa and fungal strain Candida albicans. The results of antioxidant activity assays were promising when compared to ascorbic acid. The in vitro anticancer activity was carried out using MTT assay on human cancer cell line COLO-205 and 3ACDT showed commendable antiproliferative activity along with appreciable tumor selectivity with distinct selectivity index. Moreover, ADMET properties of the compounds were determined using the pKCSM and SwissADME online tools and all compounds were found with good pharmacokinetic profile. Hence, from the obtained results from all the 3-acetylcoumarin derivatives, 3ACDT exhibited good therapeutical potential and can be optimized for lead development.

In forensic science, it is seen that hand-drawn face sketches are still very limited and time consuming when it comes to using them with the latest technologies used for recognition and identification of criminals. In this paper, we present a standalone application which would allow users to create composites face sketch of the suspect without the help of forensic artists using drag and drop feature in the application and can automatically match the drawn composite face sketch with the police database much faster and efficiently using deep learning and cloud infrastructure. Keywords: Forensic Face Sketch, Face Sketch Construction, Face Recognition, Criminal Identification, Deep Learning, Machine Locking, Two Step Verification.