A Novel Study on the Link Between Negative Thinking and TP53-Mutated Carcinogenesis

A Novel Study on the Link Between Negative Thinking and TP53-Mutated Carcinogenesis

by Sophia Yang
This study observed the link between negative thinking and mutation in the TP53 gene, commonly found to promote cancers. A content analysis showed that constant negative thoughts over long​ periods of time can change the way signals are being interpreted in the body and stimulate the release of compounds that prevent genes from producing proteins. Thirty-seven case studies​ revealed that 92.5% of TP53-mutated cancer patients had chronic negativity (>25 weeks) prior to any diagnostics, thus showing the correlation between negative thinking and carcinogenesis.

The Use of Yeast to Prevent Fungal Diseases in Horticultural Produce

The Use of Yeast to Prevent Fungal Diseases in Horticultural Produce

by Michelle Song
To provide consumers with fresh produce throughout the year, vegetables and fruit are stored immediately after harvest time. However, pre and postharvest losses caused by fungal diseases such as Botrytis cinerea (grey mold) are major factors limiting the marketing and storage life of produce (Zhang, 2009). Therefore, developing innovative and natural strategies to control these diseases with no environmental or health risks is vital.

Reinforcement Learning for Constraint Satisfaction Game Agents (15-Puzzle, Minesweeper, 2048, and Sudoku)

Reinforcement Learning for Constraint Satisfaction Game Agents (15-Puzzle, Minesweeper, 2048, and Sudoku)

by Anav Mehta
In recent years, reinforcement learning has seen increased interest because of deep Q-Learning, a learning algorithm where the model is a deep convolutional neural network trained with Q-learning variants. Deep Q-Learning has shown promising results in games such as Atari and Go (Mnih et al., 2015). Instead of learning the entire Q-table, it learns an estimate of the Q function that determines a state’s policy action. For this project, we used two reinforcement learning techniques, Q-Learning and deep Q-learning, to learn control policies of four constraint satisfaction games (15-Puzzle, Minesweeper, 2048, and Sudoku).

Predation Pressure of Jellyfish on Larval Capelin in Northeastern Newfoundland

Predation Pressure of Jellyfish on Larval Capelin in Northeastern Newfoundland

by Alicia Kee & Aareen Sharma
Capelin is a small short-lived species of fish with high reproductive potential. Capelin plays an important role in the ecosystem as a food source for predators such as cod, whales, seals, tuna, and more. Capelin fish are usually found in the North Atlantic, North Pacific and the Arctic Ocean and have two modes of reproductive behaviour: beach and deep-water spawning. They lay eggs at these sites that will eventually hatch into larvae.

Using Machine Learning for Gesture Recognition

Using Machine Learning for Gesture Recognition

by Sriya Rajyam
Machine learning (ML) is a subset of artificial intelligence, enabling systems to improve from experience without explicit instructions. Accomplished through computer algorithms, statistics are used to identify patterns in data. These patterns in turn help predict or make decisions regarding unknown data. Gesture recognition is the practice of interpreting human gestures with algorithms. This project uses ML to track human activity through gesture recognition.