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When examining the average college campus, it becomes obvious that students feel rushed from one place to another as they try to participate in class, clubs, and extracurricular activities. One way that students can feel more comfortable and relaxed around campus is to introduce the aspect of gaming. Studies show

When examining the average college campus, it becomes obvious that students feel rushed from one place to another as they try to participate in class, clubs, and extracurricular activities. One way that students can feel more comfortable and relaxed around campus is to introduce the aspect of gaming. Studies show that “Moderate videogame play has been found to contribute to emotional stability” (Jones, 2014). This demonstrates that the stress of college can be mitigated by introducing the ability to interact with video games. This same concept has been applied in the workplace, where studies have shown that “Gaming principles such as challenges, competition, rewards and personalization keep employees engaged and learning” (Clark, 2020). This means that if we manage to gamify the college experience, students will be more engaged which will increase and stabilize the retention rate of colleges which utilize this type of experience. Gaming allows students to connect with their peers in a casual environment while also allowing them to find resources around campus and find new places to eat and relax. We plan to gamify the college experience by introducing augmented reality in the form of an app. Augmented reality is “. . . a technology that combines virtual information with the real world” (Chen, 2019). College students will be able to utilize the resources and amenities available to them on campus while completing quests that help them within the application. This demonstrates the ability for video games to engage students using artificial tasks but real actions and experiences which help them feel more connected to campus. Our Founders Lab team has developed and tested an AR application that can be used to connect students with their campus and the resources available to them.

ContributorsLi, Shimei (Co-author) / Klein, Jonathan (Co-author) / Rangarajan, Padmapriya (Co-author) / Byrne, Jared (Thesis director) / Pierce, John (Committee member) / Thunderbird School of Global Management (Contributor) / Department of Information Systems (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

As the world becomes increasingly globally connected, more people than ever live away from their birth country. This means that more and more people will need to learn to adapt and integrate with new cultures and experiences. This can be a difficult process, because in their efforts to adapt, they

As the world becomes increasingly globally connected, more people than ever live away from their birth country. This means that more and more people will need to learn to adapt and integrate with new cultures and experiences. This can be a difficult process, because in their efforts to adapt, they might try to forget or abandon their previous culture in order to better assimilate to their new home. In this Creative Project, I examine my own transnational journey as a Russian living in America. I wanted to see how my identity as a person linked by two very different places has shaped who I am and what I want to be. Now that I am finishing college, how will my Russianness shape my possibilities in the future? In order to start this reflective process, I read 10 transitional novels to gain a sense of how other Russians processed their lives in America. I then used the insights I gained from these texts to design a set of questions that I asked myself and two other people, both with backgrounds that were similar to my own. Based on these discussions, I gained a greater appreciation for how my Russianness could be a real strength as I chart my future path in life.

ContributorsNovokreshchenov, Viacheslav (Author) / Popova, Laura (Thesis director) / Levin, Irina (Committee member) / Dean, W.P. Carey School of Business (Contributor, Contributor) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

When you are sitting at the terminal waiting for your flight or taking the bus to get to work, have you ever thought about who used your seat last? More importantly, have you ever thought about the last time that seat was cleaned? Sadly, it is uncertain to see if

When you are sitting at the terminal waiting for your flight or taking the bus to get to work, have you ever thought about who used your seat last? More importantly, have you ever thought about the last time that seat was cleaned? Sadly, it is uncertain to see if it was properly sanitized in the last hour, yesterday, in the last week, or even last month. Especially during these tough times, everyone wants to be assured that they are always in a safe and healthy environment. Through the Founders Lab, our team is collaborating with an engineering capstone team to bring automated seat cleaning technology into the market. This product is a custom-designed seat cover that is tear-resistant and provides a sanitary surface for anyone to sit on. When someone leaves the seat, a pressure sensor is triggered, and the cover is replaced with a secondary cover that was stored in a UV radiated container. The waterproof fabric and internal filters prevent spills and food crumbs from remaining when the user changes. The reason for bringing this product into the market is due to the unsanitary conditions in many high traffic areas. This technology can be implemented in public transportation, restaurants, sports stadiums, and much more. It will instantly improve the efficiency of sanitation for many businesses and keep a promise to its users that they will never bring something they sat on back home. #Safeseating

ContributorsJawahar, Nandita (Co-author) / Yang, Tiger (Co-author) / Nimmagadda, Viraj (Co-author) / Byrne, Jared (Thesis director) / Sebold, Brent (Committee member) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / School of Community Resources and Development (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

Students from the Founder’s Lab at ASU created Equalitree, a company whose main focus is bringing together fans, student-athletes, coaches, and executive staff. In developing the company, the founders looked at various data points from the NCAA about what is already being done to increase diversity and inclusion. After finding

Students from the Founder’s Lab at ASU created Equalitree, a company whose main focus is bringing together fans, student-athletes, coaches, and executive staff. In developing the company, the founders looked at various data points from the NCAA about what is already being done to increase diversity and inclusion. After finding staggering statistics about the state of diversity, the founders began to create ‘Equalitree’. A consulting agency tackling diversity and inclusion. The goal is to increase diversity and inclusion within sports organizations through a series of educational events, social campaigns, and dialogues. In researching the effectiveness of this business model, the founders hosted a week of events. The first event was a dialogue, in which attendees were presented with statistics of diversity within college sports, what is being done on college campuses to bridge gaps and open dialogues, and even held a discussion. For the second event, the founders hosted Keynote Speaker, former NFL player L.J. Shelton, to speak on his experiences within college sports and the NFL. Overall, Equalitree received highly rated reviews and feedback from attendees about the events and the effectiveness.

ContributorsRios, Brian (Co-author) / Zarasian, Natalie (Co-author) / Williams, Talia (Co-author) / Byrne, Jared (Thesis director) / Lee, Christopher (Committee member) / Kunowski, Jeffrey (Committee member) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

Creation of a database and Python API to clean, organize, and streamline data collection from an updated Qualtrics survey used to capture applicant information for the Fleischer Scholars Program run by the W. P. Carey UG Admissions Office.

ContributorsGordon, Nicolas A (Co-author) / Moreno, Luciano (Co-author) / Sopha, Matthew (Thesis director) / Moser, Kathleen (Committee member) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Single cell phenotypic heterogeneity studies reveal more information about the pathogenesis process than conventional bulk methods. Furthermore, investigation of the individual cellular response mechanism during rapid environmental changes can only be achieved at single cell level. By enabling the study of cellular morphology, a single cell three-dimensional (3D) imaging system

Single cell phenotypic heterogeneity studies reveal more information about the pathogenesis process than conventional bulk methods. Furthermore, investigation of the individual cellular response mechanism during rapid environmental changes can only be achieved at single cell level. By enabling the study of cellular morphology, a single cell three-dimensional (3D) imaging system can be used to diagnose fatal diseases, such as cancer, at an early stage. One proven method, CellCT, accomplishes 3D imaging by rotating a single cell around a fixed axis. However, some existing cell rotating mechanisms require either intricate microfabrication, and some fail to provide a suitable environment for living cells. This thesis develops a microvorterx chamber that allows living cells to be rotated by hydrodynamic alone while facilitating imaging access. In this thesis work, 1) the new chamber design was developed through numerical simulation. Simulations revealed that in order to form a microvortex in the side chamber, the ratio of the chamber opening to the channel width must be smaller than one. After comparing different chamber designs, the trapezoidal side chamber was selected because it demonstrated controllable circulation and met the imaging requirements. Microvortex properties were not sensitive to the chambers with interface angles ranging from 0.32 to 0.64. A similar trend was observed when chamber heights were larger than chamber opening. 2) Micro-particle image velocimetry was used to characterize microvortices and validate simulation results. Agreement between experimentation and simulation confirmed that numerical simulation was an effective method for chamber design. 3) Finally, cell rotation experiments were performed in the trapezoidal side chamber. The experimental results demonstrated cell rotational rates ranging from 12 to 29 rpm for regular cells. With a volumetric flow rate of 0.5 µL/s, an irregular cell rotated at a mean rate of 97 ± 3 rpm. Rotational rates can be changed by altering inlet flow rates.
ContributorsZhang, Wenjie (Author) / Frakes, David (Thesis advisor) / Meldrum, Deirdre (Thesis advisor) / Chao, Shih-hui (Committee member) / Wang, Xiao (Committee member) / Arizona State University (Publisher)
Created2011
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Description
The main goal of this study was to understand the awareness of small business owners regarding occupational fraud, meaning fraud committed from within an organization. A survey/questionnaire was used to gather insight into the knowledge and perceptions of small business owners, while also obtaining information about the history of fraud

The main goal of this study was to understand the awareness of small business owners regarding occupational fraud, meaning fraud committed from within an organization. A survey/questionnaire was used to gather insight into the knowledge and perceptions of small business owners, while also obtaining information about the history of fraud and the internal controls within their business. Twenty-four owners of businesses with less than 100 employees participated in the study. The results suggest that small business owners overestimate their knowledge regarding internal controls and occupational fraud, while also underestimating the risk of fraud within their own business. In fact, 92% of participants were not at all familiar with the popular Internal Control \u2014 Integrated Framework published by the Committee of Sponsoring Organizations of the Treadway Commission. The results also show that small business owners tend to overestimate the protection provided by their currently implemented controls in regard to their risk of fraud. Overall, through continued knowledge of internal controls and occupational fraud, business owners can better protect their businesses from the risk of occupational fraud by increasing their awareness of fraud.
ContributorsDennis, Lauren Nicole (Author) / Orpurt, Steven (Thesis director) / Munshi, Perseus (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / School of Accountancy (Contributor)
Created2014-05
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Description
Functional magnetic resonance imaging (fMRI) has been widely used to measure the retinotopic organization of early visual cortex in the human brain. Previous studies have identified multiple visual field maps (VFMs) based on statistical analysis of fMRI signals, but the resulting geometry has not been fully characterized with mathematical models.

Functional magnetic resonance imaging (fMRI) has been widely used to measure the retinotopic organization of early visual cortex in the human brain. Previous studies have identified multiple visual field maps (VFMs) based on statistical analysis of fMRI signals, but the resulting geometry has not been fully characterized with mathematical models. This thesis explores using concepts from computational conformal geometry to create a custom software framework for examining and generating quantitative mathematical models for characterizing the geometry of early visual areas in the human brain. The software framework includes a graphical user interface built on top of a selected core conformal flattening algorithm and various software tools compiled specifically for processing and examining retinotopic data. Three conformal flattening algorithms were implemented and evaluated for speed and how well they preserve the conformal metric. All three algorithms performed well in preserving the conformal metric but the speed and stability of the algorithms varied. The software framework performed correctly on actual retinotopic data collected using the standard travelling-wave experiment. Preliminary analysis of the Beltrami coefficient for the early data set shows that selected regions of V1 that contain reasonably smooth eccentricity and polar angle gradients do show significant local conformality, warranting further investigation of this approach for analysis of early and higher visual cortex.
ContributorsTa, Duyan (Author) / Wang, Yalin (Thesis advisor) / Maciejewski, Ross (Committee member) / Wonka, Peter (Committee member) / Arizona State University (Publisher)
Created2013
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Description
In blindness research, the corpus callosum (CC) is the most frequently studied sub-cortical structure, due to its important involvement in visual processing. While most callosal analyses from brain structural magnetic resonance images (MRI) are limited to the 2D mid-sagittal slice, we propose a novel framework to capture a complete set

In blindness research, the corpus callosum (CC) is the most frequently studied sub-cortical structure, due to its important involvement in visual processing. While most callosal analyses from brain structural magnetic resonance images (MRI) are limited to the 2D mid-sagittal slice, we propose a novel framework to capture a complete set of 3D morphological differences in the corpus callosum between two groups of subjects. The CCs are segmented from whole brain T1-weighted MRI and modeled as 3D tetrahedral meshes. The callosal surface is divided into superior and inferior patches on which we compute a volumetric harmonic field by solving the Laplace's equation with Dirichlet boundary conditions. We adopt a refined tetrahedral mesh to compute the Laplacian operator, so our computation can achieve sub-voxel accuracy. Thickness is estimated by tracing the streamlines in the harmonic field. We combine areal changes found using surface tensor-based morphometry and thickness information into a vector at each vertex to be used as a metric for the statistical analysis. Group differences are assessed on this combined measure through Hotelling's T2 test. The method is applied to statistically compare three groups consisting of: congenitally blind (CB), late blind (LB; onset > 8 years old) and sighted (SC) subjects. Our results reveal significant differences in several regions of the CC between both blind groups and the sighted groups; and to a lesser extent between the LB and CB groups. These results demonstrate the crucial role of visual deprivation during the developmental period in reshaping the structural architecture of the CC.
ContributorsXu, Liang (Author) / Wang, Yalin (Thesis advisor) / Maciejewski, Ross (Committee member) / Ye, Jieping (Committee member) / Arizona State University (Publisher)
Created2013
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Description
Sparsity has become an important modeling tool in areas such as genetics, signal and audio processing, medical image processing, etc. Via the penalization of l-1 norm based regularization, the structured sparse learning algorithms can produce highly accurate models while imposing various predefined structures on the data, such as feature groups

Sparsity has become an important modeling tool in areas such as genetics, signal and audio processing, medical image processing, etc. Via the penalization of l-1 norm based regularization, the structured sparse learning algorithms can produce highly accurate models while imposing various predefined structures on the data, such as feature groups or graphs. In this thesis, I first propose to solve a sparse learning model with a general group structure, where the predefined groups may overlap with each other. Then, I present three real world applications which can benefit from the group structured sparse learning technique. In the first application, I study the Alzheimer's Disease diagnosis problem using multi-modality neuroimaging data. In this dataset, not every subject has all data sources available, exhibiting an unique and challenging block-wise missing pattern. In the second application, I study the automatic annotation and retrieval of fruit-fly gene expression pattern images. Combined with the spatial information, sparse learning techniques can be used to construct effective representation of the expression images. In the third application, I present a new computational approach to annotate developmental stage for Drosophila embryos in the gene expression images. In addition, it provides a stage score that enables one to more finely annotate each embryo so that they are divided into early and late periods of development within standard stage demarcations. Stage scores help us to illuminate global gene activities and changes much better, and more refined stage annotations improve our ability to better interpret results when expression pattern matches are discovered between genes.
ContributorsYuan, Lei (Author) / Ye, Jieping (Thesis advisor) / Wang, Yalin (Committee member) / Xue, Guoliang (Committee member) / Kumar, Sudhir (Committee member) / Arizona State University (Publisher)
Created2013