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- Creators: Department of English
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Description
Each year, 30,000 patients obtain transplants. To prevent graft rejection, immunosuppressants such as tacrolimus are prescribed. Due to tacrolimus's narrow therapeutic range, a dose that is too low places patients at risk for transplant rejection, but too high of a dose leads to kidney failure. The de facto method for monitoring of transplant patient health is bimonthly blood draws, which are cumbersome, painful, and difficult to translate into urgently needed dosage changes in a timely manner. To improve long-term transplant survival rates, we propose a finger-prick sensor that will provide patients and healthcare providers with a measurement of tacrolimus, immune health (through IL-12), and kidney damage (through cystatin C) levels 100 times more frequently than the status quo. Additionally, patient quality of life will be improved due to reduction in time and pain associated with blood draws. Optimal binding frequencies for each marker were found. However, due to limitations with EIS, the integration of the detection of the three markers into one multimarker sensing platform has not yet been realized. To this end, impedance-time tests were run on each marker along with different antibodies, and optimal times of each marker were determined to be 17s, 6s, and 2s, for tacrolimus, cystatin c, and IL-12, respectively (n=6). The integration of impedance-time analysis with traditional EIS methodologies has the potential to enable multi-marker analysis by analyzing binding kinetics on a single electrode with respect to time. Thus, our results provide unique insight into possibilities to improve and facilitate detection of multiple markers not only for the sensor for solid organ transplant patients, but for the monitoring of patients with disease that also entail the observation of multiple markers. Furthermore, the use of impedance-time testing also provides the ability for another way to optimize accuracy/precision of marker detection because it specifies a particular time, in addition to a particular optimal binding frequency, at which to measure concentration.
ContributorsDoshi, Meera Kshitij (Author) / LaBelle, Jeffrey (Thesis director) / Steidley, Eric (Committee member) / Harrington Bioengineering Program (Contributor) / Sanford School of Social and Family Dynamics (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Unauthorized confronts the relationship between technology and personhood in the modern world. More specifically, it addresses the personal and social effects of border politics within the frame of cyber crime. The short film takes place in the near future where a hacker can create citizenship for anyone she wants, effectively turning anyone into a legal person in the United States. This parallels the real life struggles of unauthorized immigrants trying to gain a new life this side of the border despite the overwhelming backlash from the conservative and xenophobic population. The main character's ability to grant citizenship forces the viewer to confront what being a person really means. The film also alludes to the popularized antics of modern day hackers and whistleblowers who are often turned into heroes for fighting the establishment despite their character flaws. The protagonist of Unauthorized struggles through underhanded sexism and blatant racism as well as her own personal struggles with drug addiction and failed relationships. These are very real struggles women face in technology jobs and life in general. The main character's actions ultimately destroy every relationship that she's established, including the connection to her own family. This film, in short, is about the walls people build between each other, both physical and social.
ContributorsStabley, Justin E. (Author) / Bradley, Christopher (Thesis director) / Baker, Aaron (Committee member) / Department of English (Contributor) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Optogenetics presents the ability to control membrane dynamics through the usage of transfected proteins (opsins) and light stimulation. However, as the field continues to grow, the original biological and stimulation tools used have become dated or limited in their uses. The usage of Organic Light Emitting Diodes (OLEDs) in optical stimulation offers greater resolution, finer control of pixel arrays, and the increased functionality of a flexible display at the cost of lower irradiance power density. This study was done to simulate methods using genetic and optical tools towards decreasing the threshold irradiance needed to initiate an action potential in a ChR2 expressing neuron. Simulations show that pulsatile stimulation can decrease threshold irradiances by increasing the overall duration of stimulus while keeping individual pulse durations below 5 ms. Furthermore, the redistribution of Channelrhodopsin-2 (ChR2) to the apical dendrites and a change in wavelength to 625 nm both result in lower threshold irradiances. However, the model used has many discrepancies and has room for improvement in areas such as the light distribution model and ChR2 dynamics. The simulations run with this model however still present valuable insight and knowledge towards the usage of new stimulation methods and revisions on existing protocols.
ContributorsKyeh, James (Author) / Muthuswamy, Jitendran (Thesis director) / Crook, Sharon (Committee member) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Parkinson's disease is a neurodegenerative disorder in the central nervous system that affects a host of daily activities and involves a variety of symptoms; these include tremors, slurred speech, and rigid muscles. It is the second most common movement disorder globally. In Stage 3 of Parkinson's, afflicted individuals begin to develop an abnormal gait pattern known as freezing of gait (FoG), which is characterized by decreased step length, shuffling, and eventually complete loss of movement; they are unable to move, and often results in a fall. Surface electromyography (sEMG) is a diagnostic tool to measure electrical activity in the muscles to assess overall muscle function. Most conventional EMG systems, however, are bulky, tethered to a single location, expensive, and primarily used in a lab or clinical setting. This project explores an affordable, open-source, and portable platform called Open Brain-Computer Interface (OpenBCI). The purpose of the proposed device is to detect gait patterns by leveraging the surface electromyography (EMG) signals from the OpenBCI and to help a patient overcome an episode using haptic feedback mechanisms. Previously designed devices with similar intended purposes utilize accelerometry as a method of detection as well as audio and visual feedback mechanisms in their design.
ContributorsAnantuni, Lekha (Author) / McDaniel, Troy (Thesis director) / Tadayon, Arash (Committee member) / Harrington Bioengineering Program (Contributor) / School of Human Evolution and Social Change (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
It is unknown which regions of the brain are most or least active for golfers during a peak performance state (Flow State or "The Zone") on the putting green. To address this issue, electroencephalographic (EEG) recordings were taken on 10 elite golfers while they performed a putting drill consisting of hitting nine putts spaced uniformly around a hole each five feet away. Data was collected at three time periods, before, during and after the putt. Galvanic Skin Response (GSR) measurements were also recorded on each subject. Three of the subjects performed a visualization of the same putting drill and their brain waves and GSR were recorded and then compared with their actual performance of the drill. EEG data in the Theta (4 \u2014 7 Hz) bandwidth and Alpha (7 \u2014 13 Hz) bandwidth in 11 different locations across the head were analyzed. Relative power spectrum was used to quantify the data. From the results, it was found that there is a higher magnitude of power in both the theta and alpha bandwidths for a missed putt in comparison to a made putt (p<0.05). It was also found that there is a higher average power in the right hemisphere for made putts. There was not a higher power in the occipital region of the brain nor was there a lower power level in the frontal cortical region during made putts. The hypothesis that there would be a difference between the means of the power level in performance compared to visualization techniques was also supported.
ContributorsCarpenter, Andrea (Co-author) / Hool, Nicholas (Co-author) / Muthuswamy, Jitendran (Thesis director) / Crews, Debbie (Committee member) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This creative project consists of three short stories with a common theme of release, letting go, and exhalation. Nymphal Instar is a story about Tommy, a young boy, and his encounter with his uncle, a troubled man who has just returned from war. The story explores the idea of growth and maturation, and the ability to move past and let go of trauma. A Cat Goes Away is about a young man, Richard, who is required to simultaneously deal with the loss of his cat and the suicide attempts of his sister. He also runs into his sister's ex-husband and is forced to deal with him. The story explores the difficulty in recognizing one's own emotions and the importance of knowing the difference between what one can change and what one cannot. Since Diagnosis is a story about Kate, a woman who has just been diagnosed with cancer and who is unable to tell her loved ones. The story explores acceptance and the idea that letting go can allow one to live more fully. Though the three stories are disparate in their characters and events, they share a commonality in their endings and in the final realizations of the characters. There is a focus on the importance of breath and breathing, and the essentiality of acceptance and release.
ContributorsMyers, Alan Yutaka (Author) / McNally, T. M. (Thesis director) / Irish, Jenny (Committee member) / School of International Letters and Cultures (Contributor) / Department of English (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The purpose of this study is to analyze the stereotypes surrounding four wind instruments (flutes, oboes, clarinets, and saxophones), and the ways in which those stereotypes propagate through various levels of musical professionalism in Western culture. In order to determine what these stereotypes might entail, several thousand social media and blog posts were analyzed, and direct quotations detailing the perceived stereotypical personality profiles for each of the four instruments were collected. From these, the three most commonly mentioned characteristics were isolated for each of the instrument groups as follows: female gender, femininity, and giggliness for flutists, intelligence, studiousness, and demographics (specifically being an Asian male) for clarinetists, quirkiness, eccentricity, and being seen as a misfit for oboists, and overconfidence, attention-seeking behavior, and coolness for saxophonists. From these traits, a survey was drafted which asked participating college-aged musicians various multiple choice, opinion scale, and short-answer questions that gathered how much they agree or disagree with each trait describing the instrument from which it was derived. Their responses were then analyzed to determine how much correlation existed between the researched characteristics and the opinions of modern musicians. From these results, it was determined that 75% of the traits that were isolated for a particular instrument were, in fact, recognized as being true in the survey data, demonstrating that the stereotypes do exist and seem to be widely recognizable across many age groups, locations, and levels of musical skill. Further, 89% of participants admitted that the instrument they play has a certain stereotype associated with it, but only 38% of people identify with that profile. Overall, it was concluded that stereotypes, which are overwhelmingly negative and gendered by nature, are indeed propagated, but musicians do not appear to want to identify with them, and they reflect a more archaic and immature sense that does not correlate to the trends observed in modern, professional music.
ContributorsAllison, Lauren Nicole (Author) / Bhattacharjya, Nilanjana (Thesis director) / Ankeny, Casey (Committee member) / School of Life Sciences (Contributor) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This is an analysis of broad racial discourse through a critical race theory: Responsibility Avoidance Discourse (RAD). RAD is coded English that communicates meaning through connotation, avoidance, and implication as a means of securing its main purposes: enforcing white supremacy, obscuring inequality, and hindering significant racial progress. RAD is extremely effective at directing discussion away from arguments that might induce self-reflexivity or question white privilege. It focuses on discrediting others as a means of legitimizing whiteness. I analyze examples of it from a variety of sources—from political discourse to media coverage and social media trends—to demonstrate its manifestations throughout society.
ContributorsClarke, Ty Larson (Author) / Bebout, Lee (Thesis director) / Spanierman, Lisa (Committee member) / School of Social Transformation (Contributor) / W. P. Carey School of Business (Contributor) / Department of English (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Introduction: There are 350 to 400 pediatric heart transplants annually according to the Pediatric Heart Transplant Database (Dipchand et al. 2014). Finding appropriate donors can be challenging especially for the pediatric population. The current standard of care is a donor-to-recipient weight ratio. This ratio is not necessarily a parameter directly indicative of the size of a heart, potentially leading to ill-fitting allografts (Tang et al. 2010). In this paper, a regression model is presented - developed by correlating total cardiac volume to non-invasive imaging parameters and patient characteristics – for use in determining ideal allograft fit with respect to total cardiac volume.
Methods: A virtual, 3D library of clinically-defined normal hearts was compiled from reconstructed CT and MR scans. Non-invasive imaging parameters and patient characteristics were collected and subjected to backward elimination linear regression to define a model relating patient parameters to the total cardiac volume. This regression model was then used to retrospectively accept or reject an ‘ideal’ donor graft from the library for 3 patients that had undergone heart transplantation. Oversized and undersized grafts were also transplanted to qualitatively analyze virtual transplantation specificity.
Results: The backward elimination approach of the data for the 20 patients rejected the factors of BMI, BSA, sex and both end-systolic and end-diastolic left ventricular measurements from echocardiography. Height and weight were included in the linear regression model yielding an adjusted R-squared of 82.5%. Height and weight showed statistical significance with p-values of 0.005 and 0.02 respectively. The final equation for the linear regression model was TCV = -169.320+ 2.874h + 3.578w ± 73 (h=height, w=weight, TCV= total cardiac volume).
Discussion: With the current regression model, height and weight significantly correlate to total cardiac volume. This regression model and virtual normal heart library provide for the possibility of virtual transplant and size-matching for transplantation. The study and regression model is, however, limited due to a small sample size. Additionally, the lack of volumetric resolution from the MR datasets is a potentially limiting factor. Despite these limitations the virtual library has the potential to be a critical tool for clinical care that will continue to grow as normal hearts are added to the virtual library.
Methods: A virtual, 3D library of clinically-defined normal hearts was compiled from reconstructed CT and MR scans. Non-invasive imaging parameters and patient characteristics were collected and subjected to backward elimination linear regression to define a model relating patient parameters to the total cardiac volume. This regression model was then used to retrospectively accept or reject an ‘ideal’ donor graft from the library for 3 patients that had undergone heart transplantation. Oversized and undersized grafts were also transplanted to qualitatively analyze virtual transplantation specificity.
Results: The backward elimination approach of the data for the 20 patients rejected the factors of BMI, BSA, sex and both end-systolic and end-diastolic left ventricular measurements from echocardiography. Height and weight were included in the linear regression model yielding an adjusted R-squared of 82.5%. Height and weight showed statistical significance with p-values of 0.005 and 0.02 respectively. The final equation for the linear regression model was TCV = -169.320+ 2.874h + 3.578w ± 73 (h=height, w=weight, TCV= total cardiac volume).
Discussion: With the current regression model, height and weight significantly correlate to total cardiac volume. This regression model and virtual normal heart library provide for the possibility of virtual transplant and size-matching for transplantation. The study and regression model is, however, limited due to a small sample size. Additionally, the lack of volumetric resolution from the MR datasets is a potentially limiting factor. Despite these limitations the virtual library has the potential to be a critical tool for clinical care that will continue to grow as normal hearts are added to the virtual library.
ContributorsSajadi, Susan (Co-author) / Lindquist, Jacob (Co-author) / Frakes, David (Thesis director) / Ryan, Justin (Committee member) / Harrington Bioengineering Program (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Glioblastoma multiforme (GBM) is a malignant, aggressive and infiltrative cancer of the central nervous system with a median survival of 14.6 months with standard care. Diagnosis of GBM is made using medical imaging such as magnetic resonance imaging (MRI) or computed tomography (CT). Treatment is informed by medical images and includes chemotherapy, radiation therapy, and surgical removal if the tumor is surgically accessible. Treatment seldom results in a significant increase in longevity, partly due to the lack of precise information regarding tumor size and location. This lack of information arises from the physical limitations of MR and CT imaging coupled with the diffusive nature of glioblastoma tumors. GBM tumor cells can migrate far beyond the visible boundaries of the tumor and will result in a recurring tumor if not killed or removed. Since medical images are the only readily available information about the tumor, we aim to improve mathematical models of tumor growth to better estimate the missing information. Particularly, we investigate the effect of random variation in tumor cell behavior (anisotropy) using stochastic parameterizations of an established proliferation-diffusion model of tumor growth. To evaluate the performance of our mathematical model, we use MR images from an animal model consisting of Murine GL261 tumors implanted in immunocompetent mice, which provides consistency in tumor initiation and location, immune response, genetic variation, and treatment. Compared to non-stochastic simulations, stochastic simulations showed improved volume accuracy when proliferation variability was high, but diffusion variability was found to only marginally affect tumor volume estimates. Neither proliferation nor diffusion variability significantly affected the spatial distribution accuracy of the simulations. While certain cases of stochastic parameterizations improved volume accuracy, they failed to significantly improve simulation accuracy overall. Both the non-stochastic and stochastic simulations failed to achieve over 75% spatial distribution accuracy, suggesting that the underlying structure of the model fails to capture one or more biological processes that affect tumor growth. Two biological features that are candidates for further investigation are angiogenesis and anisotropy resulting from differences between white and gray matter. Time-dependent proliferation and diffusion terms could be introduced to model angiogenesis, and diffusion weighed imaging (DTI) could be used to differentiate between white and gray matter, which might allow for improved estimates brain anisotropy.
ContributorsAnderies, Barrett James (Author) / Kostelich, Eric (Thesis director) / Kuang, Yang (Committee member) / Stepien, Tracy (Committee member) / Harrington Bioengineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05