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Feature Extraction on Sentiment Attitude Values to Better Predict the Stock Market Using Twitter Sentiment

Description

Behavioral economics suggests that emotions can affect an individual’s decision making. Recent research on this idea’s application on large societies hints that there may exist some correlation or maybe even some causation relationship between public sentiment—at least what can be

Behavioral economics suggests that emotions can affect an individual’s decision making. Recent research on this idea’s application on large societies hints that there may exist some correlation or maybe even some causation relationship between public sentiment—at least what can be pulled from Twitter—and the movement of the stock market. One major result of consistent research on whether or not public sentiment can predict the movement of the stock market is that public sentiment, as a feature, is becoming more and more valid as a variable for stock-market-based machine learning models. While raw values typically serve as invaluable points of data, when training a model, many choose to “engineer” new features for their models—deriving rates of change or range values to improve model accuracy.
Since it doesn’t hurt to attempt to utilize feature extracted values to improve a model (if things don’t work out, one can always use their original features), the question may arise: how could the results of feature extraction on values such as sentiment affect a model’s ability to predict the movement of the stock market? This paper attempts to shine some light on to what the answer could be by deriving TextBlob sentiment values from Twitter data, and using Granger Causality Tests and logistic and linear regression to test if there exist a correlation or causation between the stock market and features extracted from public sentiment.

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2020-05

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Role of Metabolism in Antibiotic Resistance

Description

Each year, more and more multi-drug resistant bacterial strains emerge, thus complicating treatment and increasing the average stay in the intensive care unit. As antibiotics are being rendered inefficient, there is a need to look into ways of weakening the

Each year, more and more multi-drug resistant bacterial strains emerge, thus complicating treatment and increasing the average stay in the intensive care unit. As antibiotics are being rendered inefficient, there is a need to look into ways of weakening the internal state of bacterial cells to make them more susceptible to antibiotics. For this, we first need to understand what methods bacteria employ to fight against antibiotics. In this work, we have reviewed how bacteria respond to antibiotics. There is a similarity in response to antibiotic exposure and starvation (stringent stress) which changes the metabolic state. We have delineated what metabolism changes take place and how they are associated with oxidative stress. For example, there is a common change in NADH concentration that is tied to both metabolism and oxidative stress. Finally, we have compared the findings in literature with our research on an antibiotic-resistant RNA polymerase mutant that alters the gene expression profile in the general areas of metabolism and oxidative stress. Based on this thesis, we have suggested a couple of strategies to make antibiotics more efficient; however, as antibiotic-mediated killing is very complex, researchers need to delve deeper to understand and manipulate the full cellular response.

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2020-05

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Input-Elicitation Methods for Crowdsourced Human Computation

Description

Collecting accurate collective decisions via crowdsourcing
is challenging due to cognitive biases, varying
worker expertise, and varying subjective scales. This
work investigates new ways to determine collective decisions
by prompting users to provide input in multiple
formats. A crowdsourced task

Collecting accurate collective decisions via crowdsourcing
is challenging due to cognitive biases, varying
worker expertise, and varying subjective scales. This
work investigates new ways to determine collective decisions
by prompting users to provide input in multiple
formats. A crowdsourced task is created that aims
to determine ground-truth by collecting information in
two different ways: rankings and numerical estimates.
Results indicate that accurate collective decisions can
be achieved with less people when ordinal and cardinal
information is collected and aggregated together
using consensus-based, multimodal models. We also
show that presenting users with larger problems produces
more valuable ordinal information, and is a more
efficient way to collect an aggregate ranking. As a result,
we suggest input-elicitation to be more widely considered
for future work in crowdsourcing and incorporated
into future platforms to improve accuracy and efficiency.

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Date Created
2020-05

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The Development of Marketing with Respect to Retro-Acculturation

Description

With the United States' diverse group of people, diverse set of beliefs and diverse cultural backgrounds, it’s no wonder that over the last few decades there has been a 51 percent increase in second-generation Americans in the United States (Child

With the United States' diverse group of people, diverse set of beliefs and diverse cultural backgrounds, it’s no wonder that over the last few decades there has been a 51 percent increase in second-generation Americans in the United States (Child Trends, 2018). Though each of these second- and third-generation Americans experience life in the U.S. vastly different, the common steps of self-identity, acculturation and assimilation persist. However, what is often missed with this seemingly linear process is the delineating step: retro acculturation. Their sense of disconnect sparks a feeling of blurred identity, introducing the phenomenon of retro- acculturation, or an individual’s conscious efforts to connect to their heritage in new ways. Understanding the “why” behind this revelation is essential in understanding the “how”- or the actions taken by the individual to connect with their withdrawn culture. A deeper understanding of retro-acculturation and its processes is essential to leveraging a successful marketing effort in order to reach this demographic. As this population steadily reaches a larger population and quickly gains consumer buying power, it is important to be taking note of new and innovative ways of making lasting impressions on this demographic. This study focuses on exploring and discovering why individuals experience retro-acculturation and their triggers, as well as what approaches they use to connect to their heritage culture. Additionally, the insights gained were leveraged to provide recommendations as to how business can more effectively market to reach this demographic.

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Date Created
2020-05

Obscenity: The Quick and Dirty

Description

Zines have made space for queer, intersectional feminists to bring together academic and artistic knowledge in order to produce a message and inspire readers. In order to criticize the legal definition and practical execution of obscenity in the US, a

Zines have made space for queer, intersectional feminists to bring together academic and artistic knowledge in order to produce a message and inspire readers. In order to criticize the legal definition and practical execution of obscenity in the US, a visual component was a necessity. The use of a Zine allowed for a critical and humorous exploration of obscenity in US law and media. The Zine provides a visual analysis while the companion essay provides a critique of the zine and additional analysis. The Zine brings awareness to ways in which the legal historical objectification of black and native bodies contributed to the creation of modern obscenity laws. These laws are based on racist and sexist ideals of morality and create inherently flawed definitions of obscenity through personal bias. The flaws within the laws allow for exceptions in the legal definition of obscenity which normalizes the commodification of women's bodies. These laws and the exceptions present contribute to the dehumanization of and violence towards women as usefulness is deemed the most important factor when considering the use of women’s bodies in potentially obscene images and films.

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Date Created
2020-05

A Reflection on Translating a Thesis on Soil Pollution in Jiangsu

Description

This project took thesis written in Mandarin researching heavy metal pollution in the Jiangsu region of province and translated it to English. Then the reflection process was discussed, considering the translation challenges between Mandarin and English and how the scientific nature of the piece played into that process.

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Date Created
2020-12

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Automatic Water Shutoff Web Server Infrastructure and Smart Home Integration

Description

This thesis covers the continued development of an automatic water shutoff product developed as a capstone project by students in the college of engineering. The continued development covers the process of setting up a publicly accessible web server along

This thesis covers the continued development of an automatic water shutoff product developed as a capstone project by students in the college of engineering. The continued development covers the process of setting up a publicly accessible web server along with required server components and creating an Alexa skill for smart home integration.

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Date Created
2020-12

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Hana: An Open-Domain Chatbot Application for Language Learning

Description

Learning a new language can be very challenging. One significant aspect of learning a language is learning how to have fluent verbal and written conversations with other people in that language. However, it can be difficult to find other people

Learning a new language can be very challenging. One significant aspect of learning a language is learning how to have fluent verbal and written conversations with other people in that language. However, it can be difficult to find other people available with whom to practice conversations. Additionally, total beginners may feel uncomfortable and self-conscious when speaking the language with others. In this paper, I present Hana, a chatbot application powered by deep learning for practicing open-domain verbal and written conversations in a variety of different languages. Hana uses a pre-trained medium-sized instance of Microsoft's DialoGPT in order to generate English responses to user input translated into English. Google Cloud Platform's Translation API is used to handle translation to and from the language selected by the user. The chatbot is presented in the form of a browser-based web application, allowing users to interact with the chatbot in both a verbal or text-based manner. Overall, the chatbot is capable of having interesting open-domain conversations with the user in languages supported by the Google Cloud Translation API, but response generation can be delayed by several seconds, and the conversations and their translations do not necessarily take into account linguistic and cultural nuances associated with a given language.

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Date Created
2020-12

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The Impact of Time Constraints on HackerRank Assessments

Description

Technical interviews have become the standard for assessing candidates for software development roles. The purpose of this study is to determine whether time constraints impact the performance of individuals on HackerRank coding assessments. During the surveys and HackerRank assessment, subjects

Technical interviews have become the standard for assessing candidates for software development roles. The purpose of this study is to determine whether time constraints impact the performance of individuals on HackerRank coding assessments. During the surveys and HackerRank assessment, subjects wore two physiological sensors: a galvanic skin response bracelet, Shimmer3+GSR that measures emotional intensity and an EEG headset, B-Alert X24 that measures cognitive workload, engagement, and distraction. Subjects were also monitored by external sensors, such as an eye tracker to measure visual attention and by a facial-based emotion recognition system through a webcam to measure their visual attention and emotions. Through these metrics, as well as a Big Five personality demographic survey and mental demand survey, the study examines the difference in performance between strictly timed assessments and timed assessments with time to revise.

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Date Created
2018-05

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Developing Inventory Control and Build Management Software for Spacecraft Engineering

Description

Engineering an object means engineering the process that creates the object. Today, software can make the task of tracking these processes robust and straightforward. When engineering requirements are strict and strenuous, software custom-built for such processes can prove essential. The

Engineering an object means engineering the process that creates the object. Today, software can make the task of tracking these processes robust and straightforward. When engineering requirements are strict and strenuous, software custom-built for such processes can prove essential. The work for this project was developing ICDB, an inventory control and build management system created for spacecraft engineers at ASU to record each step of their engineering processes. In-house development means ICDB is more precisely designed around its users' functionality and cost requirements than most off-the-shelf commercial offerings. By placing a complex relational database behind an intuitive web application, ICDB enables organizations and their users to create and store parts libraries, assembly designs, purchasing and location records for inventory items, and more.

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Date Created
2018-05