Biochemistry, Biophysics, and Structural Biology Commons^™

Study Of The Visual Adaptation Mechanism In Marine Species With The Change Of Habitation Depth., Demid Osipov, Daniil Moshnikov

The International Student Science Fair 2018

The goal of our work was to determine the principal mechanisms that provide the difference in visual perception of two marine species that live on different depths: T. Pacificus and O. Vulgaris. In nature, visual perception of species that live deeper is shifted towards the blue region. This is related to the fact that red, orange and yellow light is absorbed more strongly by water than the blue light. On the other hand, the visual perception spectrum of an animal is determined by the absorption spectrum of the "light sensor" located in rods and cones of its eye retina. These …

Glucosamine From Hydrolysis Of 3d Printing Chitosan For Osteoarthritis Treatment, Ruj Dansriboon, Laphon Premcharoen

The International Student Science Fair 2018

This project aims to introduce a new way for osteoarthritis treatment which is expected to increase in the future. Glucosamine is the main subject for a treatment, which can be derived by hydrolyzing chitosan. This project also includes extraction of chitosan from shrimp waste to make a worthy use of food waste from industry. In this project, 3D printer is applied to print chitosan gel since 3D printing is adjustable to form various shapes of the gel.

The research process begins with the extraction of chitosan from shrimp shells. For the next step, the percent of deacetylation of chitosan was …

Identification And Folding Of Mirna Through Machine Learning, Xavier Pellow

The International Student Science Fair 2018

As of writing, there is currently no efficient way to accurately identify miRNA or predict the structure of miRNA without the usage of a lab. The purpose of this work is to provide a framework which allows for efficient identification of mature miRNA and folding of pre-miRNA using a feedforward neural network (FFNN) and probabilistic context-free grammar (PCFG) parsing, respectively. After training, the FFNN developed an accuracy of 98%. Out of all control cases using high confidence miRNA, the PCFG used returned folded structures that matched the canonical structures to an accuracy of 81%. The results of this work indicates …

Utilization Of Papaya’S Sap (Carica Papaya L.) And Water Lettuce (Pistia Stratiotes) To Reduce Protein Amount On Liquid Tofu Waste, Muhammad Dzulfikar Farkhan, Naila Aliyahandra Anzani, Nabila Fikria Santoso

The International Student Science Fair 2018

ABSTRACT

Liquid waste from tofu production is one of the causes of environmental pollution. This condition happens because liquid tofu waste contain protein. Protein is metabolized by bacteria formed ammonia which emits foul odor. On this research, the protein amount in liquid tofu waste is reduced by the application of papaya’s sap and water lettuce. This research is divided into several steps. First, collecting the liquid tofu waste. second, tapping the papaya’s sap. Third, poured the papaya’s sap into the tofu waste. the next step is keep the mixture between tofu waste and papaya’s sap rest for 6, 18, and …