Proceedings 2024: 20th Annual Symposium on Graduate Research and Scholarly Projects

Permanent URI for this collection

https://hdl.handle.net/10057/27969

Editorial Board for 2024 GRASP Symposium

Co-Chairs

Enrique Navarro , Associate Professor & Associate Dean of the Graduate School

Heidi VanRavenhorst-Bell, Associate Professor & Undergraduate Coordinator, Human Performance Studies

Members

Amy Bauman, President, Graduate Student Council

Deepak Gupta, Associate Professor & Associate Chair, Graduate Program Coordinator, Industrial, Systems, and Manufacturing Engineering

Katie Lanning, Assistant Professor, English

Susan Matveyeva, Associate Professor, Catalog & Institutional Repository Librarian, University Libraries

Anthony May , Associate Professor, Finance, Real Estate & Decision Science

Cynthia Richburg , Professor and Graduate Coordinator of Audiology, Communication Sciences and Disorders

Jian Wang, Assistant Professor, Chemistry and Biochemistry

John Watkins, Professor, Electrical and Computer Engineering

Sponsors of 2024 GRASP Symposium

Graduate School

Academic Affairs

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Now showing 1 - 5 of 74

An investigation into media, violence, and personal accountability
(Wichita State University, 2024-04-26) Mullen, Madison; Adler, Ted
This research investigates the interplay between how the media portrays violence and the consequential societal desensitization towards violent acts that take place towards women. I plan to investigate this concept through a sculptural project, intended to explore how scale and material choices impact emotional responses in my artwork. Through experimentation of sculpting a lifesize doe figure out of a combination of a ceramic material body and textile soft-sculpture intestines, I hope to understand the relationship between soft and hard materials and the way these materials communicate the duality of fear and violence, two emotions centralized in my work. By creating a life-size doe sculpture, the project assesses the impact of the viewer and sculpture existing on the same plane and in close proximity to one another- a rare experience for someone to have with a real living deer. To allow the viewer to experience interacting with an animal that has been gutted is hypothesized to result in the viewer humanizing and even sympathizing with the figure, leaving them to question and reflect on their own relationship towards either fear or violence as it pertains to their own life, and the media they chose to engage with. I use animals in place of women in my work in order to depict the power dynamics between hunter and prey, and additionally to avoid the inherent sexualization of the nude female body. I instead use animals typically associated with slaughter and butchery in combination with the theme of violence, brutality, and dissection that comes with the depiction of guts in my work to avoid perpetuating associations between sexual imagery and violent gore. Ultimately, this research contributes to understanding how artistic representation challenges societal norms and enriches discourse in art, gender studies, and cultural criticism.
20th Annual Symposium on Graduate Research and Scholarly Projects
(Wichita State University, 2024-04-26) Navarro, José Enrique; VanRavenhorst-Bell, Heidi A.
Brain tumor segmentation using deep learning
(Wichita State University, 2024-04-26) Karji, Fatemeh; Kshirsagar, Shruti
Brain tumor segmentation is crucial in modern healthcare, playing a vital role in accurately diagnosing and treating brain-related illnesses. As medical imaging technology advances, it becomes increasingly important to identify and analyze brain tumors accurately. Segmentation enables medical professionals to discern intricate details of tumors, facilitating better treatment planning and execution. The purpose of this research is to identify the detailed process for the segmentation of brain tumors, intending to address the urgent health challenges facing the diverse population in Kansas. To improve the accuracy of brain tumor detection, especially for Kansas residents, we are working on improving the accuracy of the detection of brain tumors. Brain tumors pose a significant health challenge, so we are developing tools that can find them early. We are committed to improving the detection of brain tumors by using image-processing techniques and deep learning. We're using special magnetic resonance imaging (Brats MRI) to take really detailed pictures of the brain, and then we're using deep learning models to learn and identify brain tumors automatically. In other words, it would be like teaching a computer to be very good at spotting these types of threats. Kansans will benefit from this research since it aims to make sure we have better tools for detecting and treating brain tumors. The faster and more precise we can find tumors, the sooner people can receive the appropriate treatment, and that is good for the health of everyone. In order to improve healthcare in Kansas, especially for international students and all Kansas residents, we aim to share what we learn.
Structure and magnetic properties of rare-earth nickel bismuthides RENi0.6Bi2 (RE = La,Ce, Pr,Nd,Gd)
(Wichita State University, 2024-04-26) Prasad, Karishma; Wang, Jian
In recent years, there has been a surge of interest in materials incorporating Bi square nets due to their intriguing properties, including characteristics such as Dirac behavior and the emergence of semi-topological features. In ternary bismuthides, depending on the transition metal (M) involved, significant variations in stoichiometry have been observed. This variation can occur due to either incomplete filling of the primary transition metal site, resulting in defective structures with less than the expected number of atoms (REM1-xPn2), or due to partial filling of an additional transition metal site, leading to structures with more atoms than expected (REM1+xPn2). My research work is on investigating the rare-earth-nickel-bismuth (RE-Ni-Bi) ternary system, with a particular emphasis on the structural characterization.Synthesis technique including solid-state reactions is employed to prepare RE-Ni-Bi compounds. Structural characterization is conducted using Powder X-ray diffraction (PXRD), Energy-dispersive X-ray spectroscopy (EDS) to elucidate the crystal structure and microstructural features of the synthesized phases. Arranged along the c-axis and interspersed by rare-earth (RE) atoms, layers consisting of square networks of Bi atoms alternate with tetrahedrally coordinated Zn atoms, with Bi atoms serving as the coordinating ligands. Overall, this research provides valuable insights into the synthesis, structural properties of rare-earth-nickel-bismuth ternary compounds,tuning the Ni vancancy and how it will change the bonding.
Optimizing compact NFC antenna design for biomedical applications
(Wichita State University, 2024-04-26) Mondal, Rajib; Lee, Yongkuk
NFC technology enables short-range standard wireless communication within a few centimeters by utilizing electromagnetic fields, which allows two-way interaction between two NFC-enabled devices. Besides their applications in security systems, mobile payments, and data transfer, this wireless communication technology is very attractive for the development of miniaturized and flexible biomedical devices, such as skin-wearable and implantable devices. Since NFC tags are capable of harvesting energy from readers, they can operate in a battery-free environment. Within proximity, sensor data can be transferred to a portable device in real-time for display and analysis, and it ensures continuous operation. One of the most important challenges of implementing NFC technology in miniaturized biomedical devices, however, is its short reading distances. This happens because changes in the size of the reader and tag coil result in low inductive coupling, which negatively impacts the reading distances. In our study, therefore, we investigate the optimization of tag and reader antenna designs to enhance the maximum working distance while minimizing the sizes of the antennas, which is crucial for the development of miniaturized biomedical sensors and devices. We fabricated a total of 24 tag and reader antennas with inductances of 2, 4, and 6 μH and diameters of 10, 15, 20 and 30 mm, and measured their resonant frequencies and reading distances. Our experimental and theoretical studies reveal that variations in the diameter and differing inductance of the coil significantly impact the antenna coupling coefficient, directly influencing the operational range between the tag and reader. This finding will provide us with an in-depth understanding and a pathway to optimize coil diameter and inductance to achieve maximum working distance as well as will bring a potential solution for the impactful application in small-scale biomedical sensors.

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