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Myung Suh Choi

Publications and source records attributed to Myung Suh Choi.

2 recordsLinked to original sources

Modeling ADHD in Drosophila: Investigating the Effects of Glucose on Dopamine Production Demonstrated by Locomotion

Hyperactivity is one of the hallmakrs of ADHD. Aberrant dopamine signaling is a major theme in ADHD and dopamine production is directly linked to the intensity and persistence of hyperactive conduct. The strength and persistence of hyperactivity responses in Drosophila to startle stimuli were measured in a study to determine the effects of sugar on dopamine development. A total of four experimental groups, namely 1%,3%, and 5% glucose, as well as a control group were taken for the diet of Drosophila, and these four different amounts of glucose were introduced to the growth medium where Drosophila was cultured. The movements of Drosophila in the four treatment groups were captured using a camera. This experiment was carried out five times, each time using a different batch of Drosophila. Each group's average velocity over time was also reported. The web adaptation of Drosophila Activity Monitor(DAM) was used to analyze the captured movies from the camera. Furthermore, when it came to hyperactivity persistence, all four treatment classes were statistically different (p0.05). Since the strength and persistence of hyperactive behavior are directly correlated to dopamine output, this study shows that higher glucose intake is associated with more hyperactivity, for both the intensity(ΔV) and persistence.

q-bio.BM↗

Detecting Fake News Using Machine Learning : A Systematic Literature Review

Internet is one of the important inventions and a large number of persons are its users. These persons use this for different purposes. There are different social media platforms that are accessible to these users. Any user can make a post or spread the news through the online platforms. These platforms do not verify the users or their posts. So some of the users try to spread fake news through these platforms. These news can be propaganda against an individual, society, organization or political party. A human being is unable to detect all these fake news. So there is a need for machine learning classifiers that can detect these fake news automatically. Use of machine learning classifiers for detecting fake news is described in this systematic literature review.

cs.CY↗