MiDOK is an innovative AI-powered diagnostic co-pilot application, crafted to support healthcare professionals and individuals in training for the healthcare sector amidst the pressing challenges of nursing shortages and professional burnout. Leveraging advanced AI prompt mechanisms, MiDOK enables users to efficiently narrow down potential medical conditions through a user-friendly interface of button-based selections and checkboxes, offering precise and relevant diagnostic suggestions. This tool is designed to complement the expertise of medical professionals by providing an additional layer of information for diagnosis, rather than replacing their critical decision-making processes. 

Accessible across various platforms, including Apple and Android devices as well as the web, MiDOK is tailored for convenience and ease of use in today's fast-paced healthcare environment. Its utility extends beyond professional practice into the educational realm, serving as a valuable resource for healthcare trainees. By delivering AI-driven insights into diagnoses based on symptom analysis, MiDOK enhances the learning experience, encouraging trainees to compare their diagnostic assessments with its suggestions, thus facilitating a practical, hands-on approach to medical education. 

MiDOK stands at the intersection of AI technology and medical knowledge, offering a solution aimed at improving patient care efficiency and accuracy. It addresses the current healthcare system's strains by empowering existing and future medical professionals with a tool that supports informed decision-making and fosters a more skilled and confident workforce. 

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The Titan Mentor Program was a pilot program to engage current students with incoming students who would be considered at risk at The University.  Mentors would work with a Titan Mentor Lead, or a Faculty/Staff member to reach out, interact, and encourage the incoming students.  The goal was to keep these students enrolled from Fall to Winter and again to Fall semester.  We found some success and have learned some lessons to try again in the Fall.  The entire program will not conclude until the Fall 2025 semester where we look at retention of our student mentees.

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This topic explores how the miraculous aspects of the Quran serve as a source of faith, and identity for Muslims living in Western societies. It examines how scientific and linguistic miracles in the Quran contribute to dawah Islamic outreach, helping Muslims strengthen their belief while also fostering a greater understanding of Islam among non-Muslims. The presentation will also touch on challenges Muslims face in the West regarding secularism and skepticism, and how Quranic miracles serve as a bridge between faith and reason in these societies.

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This research project focuses on the development of a Residential Aeroponic Tower with LED Lights, revolutionizing home gardening by providing enthusiasts with year-round access to fresh, homegrown produce in their living spaces. The tower features advanced LED lighting that mimics natural sunlight, a sleek and durable design, maximized planting capacity, consistent water supply, and a user-friendly water tank design. Additionally, the project introduces an Aeroponics Companion App designed to optimize the indoor gardening experience. The app includes features such as plant scanning for real-time wellness information, a live dashboard for monitoring the tower's status, and detailed guides for planting and harvesting. Together, the Residential Aeroponic Tower and Aeroponics Companion App offer users a comprehensive solution for efficient and interactive home gardening.

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As a student navigating the complexities of modern education, the emergence of Artificial Intelligence (AI) as a tool for enhancing the learning process has been a revelation. My exploration into the StudyAid platform, an AI-powered system designed to function both as a personal study assistant and tutor, has significantly altered my approach to studying and understanding course materials. My research reflects on my personal experience using StudyAid and is structured to gauge the impact of integrating AI into student learning processes.

StudyAid, with its adaptive AI algorithms, has tailored learning experiences to fit my unique needs, preferences, and learning pace across various subjects. The platform's educational framework has guided me through different stages of engagement with AI - from acquiring basic knowledge to collaborating with AI on creative projects. This journey has not only streamlined my study sessions but also ensured adherence to academic integrity, a cornerstone of my academic ethos.

Using StudyAid, I've experienced firsthand the benefits of having an on-demand, personalized tutor. The platform's ability to break down complex concepts, coupled with interactive tools for critiquing and reflecting on AI-generated content, has deepened my understanding and retention of material. It has fostered an active learning environment where I am encouraged to question, analyze, and build upon the insights provided by AI, enhancing both my critical thinking and analytical skills.

My research aims to unpack how AI integration through platforms like StudyAid can revolutionize student learning by providing customized educational experiences. Preliminary outcomes highlight an uptick in engagement, material retention, and overall academic performance among users. This investigation serves as a testament to the transformative potential of AI in education, paving the way for a new era of personalized learning that aligns with the diverse needs of students worldwide.

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A video compilation of four close readings of Romantic poems: "Sonnet XII" by Charlotte Smith, "London" by Joanna Baillie, "We Are Seven" by William Wordsworth, and "Composed Upon Westminster Bridge" by William Wordsworth.

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The Michigan premiere of Photograph 51, presented by The Detroit Mercy Theatre Company, featured an inovative use of semi-transluecent projections surfaces to highlight and enhance the performance by merging the dialouge with visual imagery. The plan for projections was created by designer Alan Devlin in collaboration with director Kennikki Jones-Jones, and Lighting designer Seth Amadei. Research was done to ensure the 4 projection surfaces being utalized worked with the lighting to provide a visualy rich experience that highlighted the work of the students onstage. Additional work was done to customize and merge stock footage with custom digital art to create the required imagery. Student projections operators, Mason Modzelewski and Annalise Udell, were enlisted to rehearse the projections implmentation and opperate the needed technology live for each performance. This work in projection design and implementation highlighted several of the more evocative moments in the script and provided visaul reference for the scientific information being presented.

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The following submission delves into the intricate design and construction of an autonomous, magnetic wire-following robot. A voltage converter was employed to step down a 12V battery supply to 5V, to ensure proper functionality of each component. The system’s operation relied on a microphone and operational amplifiers to enable the robot to detect a clap signal, filter it, and transmit the processed data to an Arduino microcontroller to move the wheels. To enhance navigation, a sonic sensor was positioned at the front of the robot, allowing it to detect obstacles and brake at a distance of one foot via microcontroller control. Alongside, Hall effect sensors were placed at the front of the robot to follow the magnetic wire. The development of this robot served as a practical application of key concepts explored in ELEE 2510, encompassing operational amplifiers, RC circuits, capacitive coupling, H-bridge configuration, pulse-width modulation, and Arduino Mini microcontroller programming within its integrated development environment (IDE). Furthermore, the design process extended to the mechanical construction of the robot chassis and arrangement of circuit components. The overall project reinforced teamwork, theorical knowledge and fostered hands-on experience in building various components with embedded electronics. 

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Since the inception of country music, there has long been debates on the validity of the presence of black artists in the genre. Despite these heated debates, there has been a lack of literature which analyses the impact and experiences of specific black performers in the country music industry. This paper will examine Beyoncé and her newly released country song, “16 CARRIAGES” to provide commentary on the genre’s perception of black country music artists. My analysis will be informed by the work of scholars such as Toni Morrison, Francesca Royster, Louis Althusser and Kevin Quashie. I argue that Beyoncé’s “16 CARRIAGES'' has faced backlash by the genre’s primarily white audience due to anxiety around the dissemination of black racial values. Country music today is imagined as a safe space where white racists can be themselves, and the introduction of black artists into the country music industry threatens that sanctuary.

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Our app,V-Storm, is a healthcare management application. It allows instructors to monitor their students’ progress as they complete learning quizzes while in healthcare classes. Instructors can assign courses to each student and monitor their progress and know what areas their students are struggling. Additionally, the students have an AI chatbot feature where they can ask questions and it will save their data so they can view what questions they may have asked in the past. The AI chatbot also allows students to ask it to develop quiz questions relevant to the topics they are studying. This is further preparation for students even before they take certain courses or need clarification.V-storm is a starting platform for a larger idea. The goal is to incorporate AI and VR technology, where the AI will create real, unique scenarios and the students can carry out the tasks using virtual reality. This idea will revolutionize the way students prepare for real world scenarios in healthcare.  

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This project introduces a tiered workflow for automating social media posting through AI-driven techniques. The system offers four distinct levels of automation, allowing users to select the degree of intervention that best suits their needs. At Level 1, users manually create and publish posts, ensuring complete control over content. Level 2 utilizes AI content creation tools to provide intelligent suggestions for developing engaging material. Level 3 employs platform-specific templates that generate content via a form interface, automatically formatting posts for various social media platforms. Level 4 leverages advanced AI agent technology to fully automate the process, handling content generation, scheduling, and posting autonomously. The project will investigate time savings and usability by evaluating the ease of use at each level of automation. By streamlining the content creation process, this research aims to offer valuable insights for optimizing digital marketing strategies and enhancing overall online presence. 

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VR Motorsport Park is a thrilling coding adventure. The goal of this project is to build a game that will teach the newcomers the fundamentals of coding. Who does not love going fast in a car? In this game students are to drag blocks of code onto their own environment and build code that will drive a car around the track. Using Unity software, we built a virtual environment that is intended to be used in VR for more immersion with their very own program. Being fully immersed increases the speed of learning and grasping concepts at a faster rate. With tutorials teaching newcomers various functional functionalities and use cases we can build on the conceptual ideology to increase the user’s universal knowledge between all programming languages.

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In the fall semester, I was fortunate to have the role of Assistant Director in the DMTC’s production of A Year with Frog and Toad. A goal that was unique to the show, was that we wanted to create a more inclusive theatrical experience for children, those with sensory processing disorder (SPD), and neurodivergent audience members. We focused on things such as lighting, sound, technical effects, costume pieces, and many other aspects that would be designed in a way that would align with our goal of inclusivity. We also added other elements like puppetry as well as a pre-show acknowledgment of the actors and the roles they are playing. The outcome was ultimately to offer a performance where these accommodations would be implemented. My presentation would consist of the research and collaboration developed for the production and how this was integrated with theatrical performance using the examples mentioned above.

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This project explores the development of a compact autonomous robot that can follow a magnetic wire, avoid obstacles, and respond to sound commands. Using the Adafruit Metro Mini V2 328 microcontroller and MD03A motor driver, it integrates precise motor control with intelligent navigation. A 12V battery powers the system, with a buck converter ensuring stable voltage for all components. The robot’s magnetic wire-following circuit uses inductors to detect and follow a magnetic path, adjusting movement accordingly. An obstacle detection circuit with an ultrasonic sensor prevents collisions by signaling the microcontroller to stop or change direction when an object is detected. A sound-based control circuit enables a simple clap-on clap-off function, allowing the user to start or stop the robot with a sound cue. Programmed in the Arduino IDE, this project provides a cost-effective and adaptable platform for autonomous navigation, with applications in robotics, automation, and hands-on learning. 

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This action plan centers strategies for community-scale resilience and health equity in the SPRINGWELLS and GOOD STOCK neighborhoods in the southwest and eastside of Detroit, respectively. Strategies elevate a network of trusted small-scale resilience hubs that amplify local culture, meet everyday and emergency neighborhood needs through responsive programs and resources, and are strengthened by intentional social networks and communication systems. This process and plan build from powerful existing assets, coalition building and community development efforts. The plan is the result of a two year collaboration between the Detroit Collaborative Design Center, Eastside Community Network, Urban Neighborhood Initiatives and Community Development Advocates of Detroit, alongside neighborhood networks and leaders. The process included team building, value setting, neighborhood-led engagement, precedent research, guest speakers and building upon past planning and implementation work.

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The autonomous robot project focuses on designing a robot capable of following a magnetic wire, stopping at obstacles, and starting or stopping in response to the command of a clap. It brings together a variety of skills learned in the Fundamentals of Electrical Engineering course, such as working with op-amps, designing circuits, and programming microcontrollers with Arduino. This project involved not just technical design and programming but also hands-on work with hardware. Building the robot meant working with a chassis, mounting components like sensors and circuit boards, and carefully wiring everything together. There was a lot of trial and error when screwing in mounts, adjusting placements, and ensuring the layout was clean and functional. It wasn't just about theory; it was about making sure all the parts fit together and worked as a complete system. 

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The intention of this presentation is to touch on my sabbatical research last year: architecture created by under-represented architects. I consider ‘under-represented’ as: BIPOC, women and those who identify outside of the gender binary. In support of the Detroit Mercy Mission, I focus on public architecture and spaces that make a broader impact. This impact could be through community engagement, social justice, historical framework and/or cultural place-making. I intend to weave this research in architecture history and theory class’ conversations, broadening the lens through which we assess and evaluate how and what defines the ‘canon’ and significant architecture and architects.

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I'd like to invite the artists from the "CNXNS" SciComm Art Exhibit to display their pieces as a mini-reprise of February's show. I have not determined participation yet - this application is a placeholder to indicate their potential participation. I will be in contact with organizers moving forward.

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The SciComm Art Exhibit is a yearly on-campus public event showcasing science-informed creative work by members of the UD Mercy community. This mid-February event consists of a 5-day (Monday-Friday) public exhibit held in the Loranger Architecture Exhibition Space. SciComm Art featured at this exhibit ranges from “STEM-inspired art” to “creative STEM demonstrations,” and has in the past included robots, music videos, photographs, sculptures, paintings, poetry, and ceramics. The 2025 SciComm Art Exhibit theme is UNREAL, an exploration of “the impossible” and the relevance of this concept to science, innovation, art, and social issues. This event is made possible in part by the Titan Innovation Fund and the Michigan Arts and Culture Council.

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I would like to present my research on the study of black female artists of hip-hop and r&b and how intersectionality in the hip-hop domain has affected their music and how they form their icons. This powerpoint is a part of a larger grant that I am working on, the Jane Schaberg Grant. I received this grant here at Detroit Mercy and I would like to expand my research, hopefully through this research presentation and with the grant. I have presented this powerpoint at the Women of Color Summit and was encouraged to submit a proposal to expand my research. 

 I would like to explain how the iconography that these black female artists have formed for themselves has either created a positive or negative outlook for them in the music media. My powerpoint will also shed light on the intersecting patterns of sexism and racism that black female artists often come across and the white, European standards that are still present in the music industry. My powerpoint will also focus on gangsta rap, specifically the patriarchal messages that can be found in gangsta rap and how these violent, sexist lyrics impact the images of women. I will also highlight specific, powerful female MC’s such as Lil Kim and Queen Latifah and the need for more of these women in the rap media. Lastly, my powerpoint will address how the voices of these prominent black artists have inspired global change and inspiration in important issues such as gender equality and racism.

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Costume research, renderings, paperwork, and production photos that showcase the design & construction process for Detroit Mercy Theatre Company's production of "A Year With Frog & Toad." 

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This thesis's research aims to investigate how to connect people from suburban neighborhoods to city centers using public transportation. Tommy Gärling discusses the implementation of changes that promote public transit increasing quality of life for a city collectively (Gärling 37). This thesis looks at the Greater Toronto Area (GTA) and the negative perception residents have of public transportation, seeing it as reserved for those who cannot afford to drive (Fylan and Caveney). The question guiding this thesis asks how GTA residents can be motivated to use public transportation. To do this using design, a secondary issue looks at how architectural changes can effectively address temporal and social challenges associated with public transportation. Confronting these challenges is done by understanding how the rider’s experience can be used to create a positive perception. This thesis gathers data on the current perception of public transit by analyzing photography and video of the experience. Temporal and social issues are further researched to discover ways that they can be addressed with design, leading to a model that outlines how these issues can be rectified. Study of successful public transit systems allows this thesis to create conceptual designs that can create a more positive perception. This research finds that although temporal and policy-related issues are important in creating a successful system, improving a rider’s perception can be done using design. People who perceive the system well are more likely to be loyal and overlook issues when they inevitably arise. They are more likely to create an emotional attachment to the service, recommend it to others, and feel an overall sense of customer satisfaction. This is relevant to the discipline of architecture as it creates an understanding of how design can be used to resolve challenges that are not originally physical, allowing designers to think more critically about problems outside of architecture and find ways to solve them using their expertise.

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How we think creatively and who we are at our cores is revealed when drawing by hand. It is our duty as designers to produce designs that are in-tune with ourselves and our surroundings. An internal reflection is necessary to achieve this. The understanding of these internal elements of creative thought process of designers, and connecting it back to the architectural discipline on the human level will assist in this reflection. Studies on the hand-eye-mind connection and the creative thought process have been conducted in the architectural realm (Pallasmaa, Edwards, Lyn, Olsberg, Herbert). This thesis aims to build off these findings in a more introspective way using drawing as a language to communicate self-identity, perception, and the in-between realm of the creative thought process. Understanding the creative process at an individual level intends to reveal how thoughts become reality, thus allowing for a deeper connection between designers and their designs. A continuous flow of making, documenting, and reflecting persisted as the main means of uncovering the elements of the creative process and how internal thoughts become external reality. Through this methodology, it was found that the concept of the in-between of thoughts and reality is a space of exploration and realization – a space facilitating an unapologetic flow of design. Everything in-between in the creative process happens within the designer and is portrayed to others in the way the individual expresses their thoughts and ideas through drawing. Internal elements of the creative process – The Unknown, In-Between, and Here – are brought to light in this endeavor. Through this exploration, it was found that our creativity is what is used to create. This creativity makes us human. Exploring humanity through creativity allows for the recognition of our entire beings becoming the initial site of architectural work, allowing designers to become more in-tune with themselves thus advancing their design capabilities.

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The National Collegiate Athletic Association (NCAA) found that collegiate student-athletes face significantly more stress and fatigue mentally than their fellow students, but why is this the case? Mental Health in Student-Athletes dives into a number of studies done in relation to NCAA student-athletes and their stress levels and also provides in-depth interviews with current student-athletes all across the country in hopes of gaining their perspectives on the matter and finding the stressors for the modern day student-athlete. 

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Abstract:
Software defects are an unavoidable aspect of the software development process, often resulting in costly revisions, project delays, and compromised quality. The ability to anticipate defect density is essential for pinpointing high-risk areas and efficiently allocating resources. This article introduces an innovative method leveraging Artificial Intelligence (AI) techniques for predicting software defect density. The approach encompasses feature selection, model training, and validation using historical defect data. Various AI algorithms, including machine learning and deep learning models, are explored to assess their effectiveness in defect density prediction. The study delves into the influence of factors such as code complexity, module dependencies, and developer expertise on defect occurrence. The proposed AI-driven defect density prediction model exhibits promising outcomes in accurately forecasting defect density in software endeavors. By incorporating AI into defect prediction, software development teams can proactively address and mitigate risks, ultimately enhancing software quality and diminishing maintenance efforts.

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