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In the age of social media, the 24-hour news cycle, and an overwhelming pressure to become "successful," there is a marked lack of personal connection within communities and a constant state of stress and overwork. This constant state of stress then builds into anxiety, as there are few public resources

In the age of social media, the 24-hour news cycle, and an overwhelming pressure to become "successful," there is a marked lack of personal connection within communities and a constant state of stress and overwork. This constant state of stress then builds into anxiety, as there are few public resources for mental reprieve. The World Health Organization reports that anxiety disorders are the most common mental disorders worldwide, begging the question as to how they can be addressed most effectively worldwide. As design is implicit within any environment that provides for mental wellness, it must be carefully curated to provide not only the physical necessities, but speak for something beyond explanation- a sense of mental refuge and comfort. Using the concept of mindfulness, architecture has the power to force users to truly be present in the experience, activating space to become a mental refuge rather than a passive infrastructure.
ContributorsDickson, Cassandra (Author) / Horton, Philip (Thesis director) / Heywood, William (Committee member) / Hejduk, Renata (Committee member) / The Design School (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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The purpose of this project was to investigate the hypothesis that adults with dyslexia tend to have lower accuracies in and take longer to process tasks involving the serial order of letters, compared to age and gender-matched controls. In Experiment 1, participants evaluated word pairs for differences. Half of the

The purpose of this project was to investigate the hypothesis that adults with dyslexia tend to have lower accuracies in and take longer to process tasks involving the serial order of letters, compared to age and gender-matched controls. In Experiment 1, participants evaluated word pairs for differences. Half of the word pairs that they evaluated were the same, whereas the remaining word pairs differed along specific parameters such as sequential rearrangements ("left" vs "felt"), left/right reversals ("cob" vs "cod"), up/down reversals ("best" vs "pest"), homophones ("grown" vs "groan"), visual letter similarities ("tight" vs "fight"), and generic substitutions ("moan" vs "loan"). The response times and accuracies of both groups were recorded. In Experiment 2, the participants spelled single words to dictation using the spelling subtest from the Wechsler Individual Achievement Test\u2014II. Spelling errors were evaluated for errors such as sequential rearrangements, left/right reversals, homophones, substitutions, orthographic violations, omissions, and insertions. An example of a spelling error is the word "excitement" misspelled as "excietment", which involves a sequential rearrangement error. Another example is the word "apparently" misspelled as "aparently,", which involves an error of omission. Error frequencies within these error types for both groups were recorded. Experiment 3 evaluated whether left/right reversal errors during the letter-naming Rapid Automatized Naming and Rapid Alternating Stimulus (RAN/RAS) task were associated with left/right errors during word pair comparison and spelling and whether these visual reversal errors were also associated with errors of serial order. The group with dyslexia was split into two groups: group 1 included participants who did not make any left/right reversals during the RAN/RAS task and group 2 included participants who did make left/right reversals during the RAN/RAS task. The accuracies and reaction times of these three groups during the comparison and spelling assessments were recorded. The results of experiment 1 revealed that that adults with dyslexia had a significantly higher reaction time and lower accuracy during the sequential rearrangement and left/right reversal conditions. Experiment 2 demonstrated that the group with dyslexia made significantly more spelling errors during the homophone and omission conditions. The results of Experiment 3 showed associations between the sequential rearrangement and left/right conditions in both the word pair comparison and spelling task for participants with dyslexia who made left/right reversals during the RAN/RAS task. Overall, the participants with dyslexia who made left/right reversals during the RAN/RAS task seemed to have greater difficulty understanding the orientation of letters that occur on a horizontal plane, since this underlying pattern of errors was also seen throughout the spelling and word comparison tasks. These results show that left/right reversals and errors of serial order are evident in some, but not all adults with dyslexia. These errors may also characterize a distinct subtype of dyslexia. Further, errors of left/right reversal and serial order appear to be associated, so left/right reversals may represent a special form of serial order error that involves a change in the order of visual processing in the horizontal but not vertical axis of letter orientation.
ContributorsAlbert, Andria (Author) / Peter, Beate (Thesis director) / Gray, Shelley (Committee member) / School of International Letters and Cultures (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
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Description
Community organizing can be defined as “the coordination of cooperative efforts and campaigning carried out by local residents to promote the interests of their community” (Oxford Dictionary). Yet this term can be interpreted differently based on the interests and issues of a community and those who seek to serve it.

Community organizing can be defined as “the coordination of cooperative efforts and campaigning carried out by local residents to promote the interests of their community” (Oxford Dictionary). Yet this term can be interpreted differently based on the interests and issues of a community and those who seek to serve it. Since community organizations are commonly structured to address community needs, their efforts are very different depending on the demographics, regions, and capabilities of the organization itself and its constituencies. The details of community organizing are best understood by learning from current organizations working to reflect the identities and issues of the communities they work for. The current research sought to understand how community organizations operate - from the decision-making process, to coalition-building, to hiring, and beyond - as well as how their impact works in relation to national advocacy efforts. The analyses found within this research can inform audiences on how community organizations measure impact, how they choose to engage in building people power, and how to become involved with these types of organizations.
ContributorsGrijalva Ochoa, Victoria (Author) / Becerra, David (Thesis director) / McLoone, Claire (Committee member) / School of International Letters and Cultures (Contributor) / School of Public Affairs (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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The Mizrahi Jews have greatly influenced current Israeli culture through their music and food. The Mizrahi immigrated from Middle Eastern countries and brought with them their music and food. Their music has changed slowly over time. Musiqa Mizrahit started as music the Mizrahi brought with them when the immigrated to

The Mizrahi Jews have greatly influenced current Israeli culture through their music and food. The Mizrahi immigrated from Middle Eastern countries and brought with them their music and food. Their music has changed slowly over time. Musiqa Mizrahit started as music the Mizrahi brought with them when the immigrated to Israel. As they adjusted to Israeli society, they began switching the Arabic words to Hebrew. Musiqa Mizrahit really took off with the creation of cassette recordings that allowed anyone to cheaply record music and share it. As Musiqa Mizrahit became more accessible, it slowly gained popularity across Israel. As popularity for the genre, it slowly became accepted in Israeli society. Up until then, Musiqa Mizrahit had been discriminated against and was not considered part of Israeli culture. Nowadays, Musiqa Mizrahit is very popular and widely accepted in Israel. The food was accepted by the Ashkenazi in the first two decades of the countries existence by the widespread Israeli pushback in Mandatory Palestine and into the existence of the brand new country. now many of the Mizrahi foods are considered part of the Israeli national cuisine.
ContributorsKoester, Samantha Lanette (Author) / Shemer, Judith (Thesis director) / Ali, Souad (Committee member) / School of International Letters and Cultures (Contributor, Contributor, Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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This ASU Science Book Discussion Poster was presented at the STS Research Forum and Poster Session in Chicago in conjunction with ALA 2013.

Programming is an essential part of library services. Having a regular program at the library and a wide distribution list raises awareness of the library to those associated

This ASU Science Book Discussion Poster was presented at the STS Research Forum and Poster Session in Chicago in conjunction with ALA 2013.

Programming is an essential part of library services. Having a regular program at the library and a wide distribution list raises awareness of the library to those associated with the university and beyond. Through programming, libraries demonstrate the vital role they play in the community. The ASU Science Book Discussion began meeting in the summer of 2011.
ContributorsTanner, Rene (Contributor)
Created2013
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Description

This presentation was given at the Montana Library Association conference in Billings, MT in 2011 and the Arizona Library Association conference in Tucson, AZ in 2011.

ContributorsTanner, Rene (Author) / Flitner, Debbie (Author)
Created2011-11-22
Description
Examining the effect of various factors such as class, gender, and status on health inequalities in India is crucial for improving access to health services. However, most research on castes in India is done using broad, government-defined categories, including “Scheduled Castes,” “Scheduled Tribes,” “Forward Classes,” and “Other Backwards Classes.” These

Examining the effect of various factors such as class, gender, and status on health inequalities in India is crucial for improving access to health services. However, most research on castes in India is done using broad, government-defined categories, including “Scheduled Castes,” “Scheduled Tribes,” “Forward Classes,” and “Other Backwards Classes.” These general categories erase the experiences that more specific caste groups have in their health and their livelihood. Using the 2015-2016 Demographic and Health Survey of India, this study analyzes data on 699,686 women aged 15-49 to investigate the association of socioeconomic status, assessed by wealth, education, and community status on two types of contraceptive use–sterilization and other modern methods. Those with secondary education or higher were much less likely to be sterilized and more likely to use non-sterilization forms of modern contraception. Interestingly, those with greater household wealth were more likely to be sterilized but had no different chance of using non-sterilization forms of modern contraception. After controlling for other socioeconomic factors, members of Scheduled Castes and Backward Classes are more likely to be sterilized. However, there was additional heterogeneity between groups, with Muslim groups and Northeastern tribes much less likely to be sterilized, and Southern tribes more likely to be sterilized. Moreover, Muslim groups as well as Northern and Northeastern tribes were more likely to use non-sterilizations forms of contraception, whereas Southern tribes were less likely to use non-sterilization forms of contraception. These findings illustrate that in addition to differences by major caste categories, there is still religious and regional variation in the likelihood of using different forms of contraception. Future research should examine how unique community factors erased within the already present government caste system can affect health. In addition, more research should be done on the various effects of discrimination faced by these communities and how this discrimination affects their health education, access, and autonomy.
ContributorsChandra, Natasha (Author) / Hruschka, Daniel (Thesis director) / Drake, Alexandria (Committee member) / Barrett, The Honors College (Contributor) / School of Human Evolution & Social Change (Contributor) / School of International Letters and Cultures (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2024-05
Description
With a recent boom in the popularity of Large Language Model (LLM) chatbots such as ChatGPT, the generative Artificial Intelligence (AI) landscape has seen a massive increase in market size. Along with this boom in generative AI, other sectors of AI have seen massive growth as well. One such area

With a recent boom in the popularity of Large Language Model (LLM) chatbots such as ChatGPT, the generative Artificial Intelligence (AI) landscape has seen a massive increase in market size. Along with this boom in generative AI, other sectors of AI have seen massive growth as well. One such area of interest is the Edge AI software market. Because this market is so new, there is an immense amount of room for growth and profit since most firms have yet to obtain a firm foothold in this space. Therefore, it makes sense that Intel is seeking to enter this market. With the successful release of OpenVINO, an open-source AI development and optimization program, and GETi, a program for the development and deployment of computer vision models, Intel is seeking to understand the market landscape, overall potential returns, and broad applications for contingency in various scenarios before making further investments into this market. Through our in-depth analysis of the market, which examines current competitors, and includes top-down and bottom-up analyses, we were able to create a detailed picture of potential market states, their effects on our recommendation, and the initial outlay needed for Intel to actively pursue our recommendation. As for our final recommendation, we believe that Intel should continue to market OpenVINO to draw users into Intel’s hardware ecosystem, similar to what Apple did with the iPhone, which will allow Intel to obtain a greater market share and long-term user loyalty. Software-hardware synergies will continue to drive an increase in Intel’s overall profits. This secondary source of hardware sales will be insulated from the cyclical nature of the CPU market, allowing for less variability in revenues during market downturns. This decrease in the hardware sales cycle should lead to higher stock prices and increase stakeholder confidence. Successful implementation of these strategies boosts the success of future Intel product launches and stops any competitors from entering the market, solidifying Intel’s hold on its market share.
ContributorsMto, Penina Feza (Author) / Bombardieri, Tristan (Co-author) / Stearns, Dawson (Co-author) / Trufanov, Nicholas (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / School of International Letters and Cultures (Contributor)
Created2024-05
Description
In 2022, a previous team of computer science and accounting students worked together to design and build a fully-functioning website to automate accounting transactions. They created dynamic accounting applications using software frameworks such as React and Express. They then used the services provided by Amazon Web Services to make the

In 2022, a previous team of computer science and accounting students worked together to design and build a fully-functioning website to automate accounting transactions. They created dynamic accounting applications using software frameworks such as React and Express. They then used the services provided by Amazon Web Services to make the website available online. The stakeholders of the project wanted to expand upon the services provided by the website so they entrusted our team with implementing new features and applications to the software system. Using the same software frameworks and services of the previous team, we redesigned the website and increased its functionality to better meet the needs of accounting automation.
ContributorsJain, Sejal (Author) / Macabou, Elise (Co-author) / Lim, Jonathan (Co-author) / Villani, Jacob (Co-author) / Chen, Yinong (Thesis director) / Hunt, Neil (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Computer Science and Engineering Program (Contributor) / School of Public Affairs (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2024-05
Description
This thesis project focused on determining the primary causes of flight delays within the United States then building a machine learning model using the collected flight data to determine a more efficient flight route from Phoenix Sky Harbor International Airport in Phoenix, Arizona to Harry Reid International Airport in Las

This thesis project focused on determining the primary causes of flight delays within the United States then building a machine learning model using the collected flight data to determine a more efficient flight route from Phoenix Sky Harbor International Airport in Phoenix, Arizona to Harry Reid International Airport in Las Vegas, Nevada. In collaboration with Honeywell Aerospace as part of the Ira A. Fulton Schools of Engineering Capstone Course, CSE 485 and 486, this project consisted of using open source data from FlightAware and the United States Bureau of Transportation Statistics to identify 5 primary causes of flight delays and determine if any of them could be solved using machine learning. The machine learning model was a 3-layer Feedforward Neural Network that focused on reducing the impact of Late Arriving Aircraft for the Phoenix to Las Vegas route. Evaluation metrics used to determine the efficiency and success of the model include Mean Squared Error (MSE), Mean Average Error (MAE), and R-Squared Score. The benefits of this project are wide-ranging, for both consumers and corporations. Consumers will be able to arrive at their destination earlier than expected, which would provide them a better experience with the airline. On the other side, the airline can take credit for the customer's satisfaction, in addition to reducing fuel usage, thus making their flights more environmentally friendly. This project represents a significant contribution to the field of aviation as it proves that flights can be made more efficient through the usage of open source data.
Created2024-05