Computer Science

Reflection of Political Bias within YouTube Search and Recommendation Algorithms

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Michael Lutz, Sanjana Gadaginmath, Natraj Vairavan, Sriram Srivatsan, Advisor: Phil Mui 1Aspiring Scholars Directed Research Program, 43505 Mission Blvd, Fremont, CA 94539 Abstract: Given the reach of YouTube as a proliferator of contemporary news and ideas, it is important to understand how YouTube reflects (either magnifies, minimises, or preserves) pre-existing political bias. Moreover, it remains …

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CO2 Levels During Long International Flights as Approximation for COVID-19 Infection Risk Levels

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Inbar Adiel, 11th Grade, Golda Och Academy, NJ January 31st, 2021 ABSTRACT This research documents the levels of CO2 during two long international flights that took place on December 11th, 2020 and January 1st, 2021 (US -> Israel and Israel -> US). Based on CDC guidelines, the risk of becoming infected with COVID-19 increases dramatically …

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Quantum Computing: How it all adds up

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Introduction Quantum computing has taken the world by storm. Many believe that quantum computers have the potential to overtake even the fastest supercomputers, and for good reason. Quantum computers – unlike classical computers – rely on the peculiar phenomena of quantum mechanics. How, though, do these machines function? How do scientists realistically incorporate quantum ideas …

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Demographic Bias in Unemployment Across the U.S. during the 2020 COVID-19 Pandemic

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Abstract COVID-19 has been reported to disproportionately affect minorities in terms of mortality rate1, so it was inquired whether this apparent discrimination also applied to unemployment rate. Through data analysis in Python and K-means clustering, an unsupervised machine learning algorithm based on minimising within-cluster variance to an average point known as a centroid, the bias …

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Predicting Cell Phenotypes from scRNAseq Data

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  Ryan Nayebi* Mentor: Brianna Chrisman *Woodside Priory School Abstract The use of machine learning to analyse data obtained through single-cell RNA sequencing (scRNAseq) provides eye-opening insights into cellular biology. Applications of this type of data analysis range from understanding tumor heterogeneity (with potential for creating lifesaving, patient-specific treatment) to studying stochastic gene expression.[17] Throughout …

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Wireless Brainwave Sensing Using an EEG Headset and Labview Programming

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Wireless Brainwave Sensing Using an EEG Headset and Labview Programming Ri He Abstract Using a Bluetooth HC-06 module and an electroencephalogram (EEG) Mindflex headset, I developed a wireless brainwave sensing system based on Labview graphical programming. Using the system, EEG raw data was attained, saved and processed. Brainwaves were recorded during three activities: relaxing, reading …

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Oracle vs. Snowflake: Traditional to Modernised Database Technology

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Abstract  As data becomes more and more important, so does the technology that holds it. With a change as large scale as the transition from Oracle to Snowflake, companies need to be informed just how much database technology has improved in order to determine if a shift is worth it. To thoroughly analyse the differences …

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Detecting Open-angle Glaucoma Using a Two-parts Deep Learning Architecture

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Abstract Glaucoma is a chronic eye disease that damages the optic nerve and leads to irreversible blindness in its terminal stage, needing the intervention of an eye doctor for immediate treatment. This project proposes a feasible and accurate system to detect open-angle glaucoma, the most common form of glaucoma. Using two deep learning architectures, Single …

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Educational Data Mining in the Current Classroom

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Written by Grace Li ABSTRACT The capacity of computational infrastructures has exploded over the past few decades, propelling the volume and nuance of data collection. Data mining, the application of algorithms to extract insights from these large reservoirs of data, has advanced industries like commerce and the applied sciences; however, the applications of data mining …

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Analysis of and Solutions for Disengagement in Massive Open Online Courses (MOOCs): Literature Review

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Abstract Despite their promises of democratising learning and revolutionising higher education, Massive Open Online Courses (MOOCs) continue to suffer from many drawbacks, the most concerning of which are high disengagement rates. Currently, anywhere upwards of 90% of students fail to graduate from most enrolled courses7. In order to investigate the reasons for such high attrition …

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