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- Creators: School of Life Sciences
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- Member of: Barrett, The Honors College Thesis/Creative Project Collection
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Description
Childbirth, an essential stage of human life, has been carried out and treated differently in numerous ways throughout time. Although the overall method of birth is biologically the same, women and medical professionals in the United States in particular have changed how they view and manage childbirth over the past 70 years. Some of said changes are extensive and occurred more rapidly than one might typically expect for such a delicate and important stage of a woman‘s, and infant‘s, life. As consumerism, capitalism, and the courts have changed America‘s lifestyles, politics, and society, so too have they drastically affected the way we are conditioned to approach childbirth. More importantly, as society changes over time, the medical field and
methods of specialists also change, and although the benefits of these changes are challenged by some individuals, these procedures and recommendations from professionals inevitably affect us all. Methods and procedures of modern, medicalized childbirth, and even the significance placed on the event, are products of historical and cultural factors influenced by scientific and social trends. However, there exists a small and steadily growing number of women and families who choose to have their birth take place outside of the present societal norm, and consequently outside of hospitals. This group‘s existence and growth has been attributed to several factors, including changes in societal values, differentiation between different financial classes, and the
medicalization of childbirth. Although statistically a small percentage of the majority, these women who choose to give birth outside of a hospital exist amidst an immense ongoing controversy between gynecologists, physicians, mothers, and midwives regarding what options should be available when childbirth is undertaken in the United States.
methods of specialists also change, and although the benefits of these changes are challenged by some individuals, these procedures and recommendations from professionals inevitably affect us all. Methods and procedures of modern, medicalized childbirth, and even the significance placed on the event, are products of historical and cultural factors influenced by scientific and social trends. However, there exists a small and steadily growing number of women and families who choose to have their birth take place outside of the present societal norm, and consequently outside of hospitals. This group‘s existence and growth has been attributed to several factors, including changes in societal values, differentiation between different financial classes, and the
medicalization of childbirth. Although statistically a small percentage of the majority, these women who choose to give birth outside of a hospital exist amidst an immense ongoing controversy between gynecologists, physicians, mothers, and midwives regarding what options should be available when childbirth is undertaken in the United States.
ContributorsHernandez, Dustin (Author) / Nguyen, Christy (Author) / Koblitz, Ann (Thesis director) / Budolfson, Arthur (Committee member) / Walker, Shell (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor) / W. P. Carey School of Business (Contributor)
Created2012-12
Description
Patient-physician interactions are the cornerstone of healthcare delivery, with the potential to significantly influence patient outcomes and healthcare efficiency. The quality of patient-physician interactions is pivotal in facilitating efficient communication concerning patient care and treatment. This relationship impacts the patient's adherence to medical advice and trust in healthcare. Considering the diversity of the patient population, there are a multitude of pertinent variables to take into account, including but not limited to English proficiency, race, educational attainment, age, gender, and socioeconomic status. How do patient-physician communication patterns and demographic variables impact patient comprehension, perception of communication efficacy, and healthcare outcomes across diverse cultural, linguistic, and socioeconomic backgrounds? The purpose of this thesis is to comprehensively understand the characteristics underlying effective patient-physician communication and its impact on patient compliance, retention of medical information, and healthcare outcomes. By addressing racial, cultural, linguistic, and socioeconomic disparities in healthcare, the research aims to establish a universal foundation for augmenting patient-centered care. The methodology of this research included an extensive literature review, shadowing of clinical visits, and patient care, along with the distribution of a survey to patients to gain insight into their satisfaction with healthcare. Practical applications include the development of targeted interventions, communication training programs for healthcare providers, and the formulation of policies aimed at improving patient outcomes and healthcare system efficiency. This research paper investigates the impact of physician attitudes on patient understanding and overall health through a comprehensive analysis of survey data collected from 115 individuals attending various clinics. Our findings highlight the significance of quality healthcare delivery in fostering favorable patient experiences, with 63.5% of respondents rating their visits as excellent or very good. Effective communication emerges as a key determinant of patient satisfaction, with 64.4% of respondents rating communication as excellent or very good. However, a notable proportion of respondents (26.9%) rated their overall satisfaction as neutral or dissatisfied, indicating areas for improvement in patient satisfaction related to unaddressed concerns or inadequate communication. Gender-related concerns, reactive versus proactive medicine, mental health, and shared decision-making emerge as overlooked topics in current clinical practice. Our observations underscore the need for a holistic approach that addresses patients' psychosocial and emotional needs alongside medical concerns. Gender-related differences in care delivery are evident, with female patients reporting feeling dismissed or misunderstood by male doctors, particularly regarding issues related to pain or reproductive health. Female physicians are associated with a greater likelihood of receiving preventive counseling and gender-specific screening, highlighting the importance of gender diversity in healthcare. Furthermore, patients express frustration with a reactive approach to medicine, advocating for a higher focus on addressing the underlying causes of health issues rather than merely treating symptoms. Patients also desire more information about natural remedies and holistic treatment options, emphasizing the importance of incorporating these discussions into shared decision-making between doctors and patients. The study underscores the pivotal role of specific provider qualities such as communication, empathy, and attention to patient comfort in patient-centered care delivery. The comprehension and cooperation rating between the doctor and patient was 81.8% excellent and good with a remaining of 18.2% indicating the need for a more interactive visit. Based on the survey, the important qualities of a provider from highest to lowest ranking include: communication (listening and understanding), empathy and kindness, medical knowledge proficiency, and quality listening. Due to the heavy importance on communication, it is imperative for healthcare providers to gain the necessary skills to cater to and address many of the concerns of their patients outside of simple medical knowledge. Given the doctor explanation comprehension rating of 25.2% being somewhat clear and not so clear, it is necessary for providers to develop their patient communication skills to optimize patient satisfaction and compliance. Cultural competency emerges as a critical aspect of providing effective and equitable care to patients from diverse backgrounds. However, there are limitations to the study, including the relatively small sample size and potential response bias. The findings of this study provide valuable insights into the multifaceted nature of the doctor-patient interaction and underscore the importance of effective communication, patient-centered care, and shared decision-making in promoting positive patient outcomes. According to the patient experience survey, talking more in depth about the patient treatment plan and taking the time to display eagerness to help and be active in one’s health will significantly enhance visit satisfaction. In addition to patients' ratings of physician level of empathy and respect consisting of 93% of respondents as exceeded or met expectations, the patient confidence in their health situation out of 10 was 6 and above for 90 percent of the survey respondents. However, with the shared decision making rating, 28.3% of respondents felt being somewhat involved or a little involved in their own care. By addressing patient needs and preferences and fostering collaborative relationships between physicians and patients, healthcare providers can enhance patient satisfaction, adherence to treatment recommendations, and overall health outcomes.
ContributorsAbdul, Zahir (Author) / La Crosse, Amber (Co-author) / Agu, Nnenna (Thesis director) / Markabawi, Bashar (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor) / Department of Psychology (Contributor)
Created2024-05
Description
This study examines the complex relationship between depression and students' experiences in active learning science courses. We uncover the significant impact of depression on cognitive functioning, particularly affecting energy levels, motivation, and self-doubt, especially among women. Highlighting the intersectionality of gender and depression, we stress the need to address disparities and bolster confidence in academic settings.
ContributorsClark, Sarah (Author) / Cooper, Katelyn (Thesis director) / Brownell, Sara (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor) / Dean, The College of Liberal Arts and Sciences (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 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 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.
ContributorsRosenbloom, Yonatan (Author) / Chavez Echeagaray, Maria Elena (Thesis director) / Govindillam, Sreenivasan (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / School of International Letters and Cultures (Contributor)
Created2024-05
Description
The project investigates the differences in the left and right hemispheres during a sensory gating paradigm in people with dyslexia compared to neurotypicals. The sensory gating paradigm included repeated pure tones, and each response's negative amplitudes during the first and second tones were recorded. It was determined that the response to the second tone can predict the response to the second tone. Still, there was no significant difference between participants with dyslexia and controls in the gating magnitude. There were no significant results when determining if gamma and beta power could predict the level of gating magnitude.
ContributorsBienz, Owen (Author) / Peter, Beate (Thesis director) / Daliri, Ayoub (Committee member) / Kim, Yookyung (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)
Created2024-05
Description
The present study was conducted in order to better understand how stuttering appears in bilingual Spanish-English (SE) speakers in Arizona. The primary purpose was to determine whether the frequencies and types of speech disfluencies that are produced by bilingual speakers vary depending on the language they are speaking in. In addition, the study attempted to determine whether there exists a variation of the frequencies or types of speech disfluencies that are produced by a bilingual speaker based on their approximate dominance of the language they are speaking in. For the purpose of the study, two elementary school children (2 boys, 7 and 10 years old), who were identified as diagnosed stutterers by a speech-language pathologist (SLP), were recruited and interviewed for 45 minutes. The two participants were identified as typically fluent in both English and Spanish from conversations with their parents and the pre-interview parental questionnaire in which their level of exposure to and approximate competence in each language was established. The interviews consisted of a speech and reading portion in both English and Spanish, in which spontaneous and non-spontaneous speech data was recorded. The results of the study indicate that there does seem to be a difference in the frequencies and types of speech disfluencies that appear depending on the language that a bilingual individual is speaking in. Additionally, there seems to be a relationship between approximate language dominance and the types or frequencies of speech disfluencies that are produced, however further research is recommended on this topic with a larger sample size of participants.
ContributorsKhakhanova, Anastasiya (Author) / Gradoville, Michael (Thesis director) / Daliri, Ayoub (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / School of Life Sciences (Contributor)
Created2024-05
Description
Little is known about the state of Arctic sea ice at any given instance
in time. The harshness of the Arctic naturally limits the amount of in situ data that can be collected, resulting in gathered data being limited in both location and time. Remote sensing modalities such as satellite Synthetic Aperture Radar (SAR) imaging and laser altimetry help compensate for the lack of data, but suffer from uncertainty because of the inherent indirectness. Furthermore, precise remote sensing modalities tend to be severely limited in spatial and temporal availability, while broad methods are more accessible at the expense of precision. This thesis focuses on the intersection of these two problems and explores the possibility of corroborating remote sensing methods to create a precise, accessible source of data that can be used to
examine sea ice at local scale.
ContributorsBaker, John (Author) / Cochran, Douglas (Thesis director) / Wei, Hua (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2024-05
Description
I study some comparative statics implications of disappointment-averse preferences
for optimal portfolios. Specifically, I find that risk-averse disappointment-averse investors
increase investment in a risky asset as a result of a monotone likelihood ratio improvement in
the asset’s distribution, a subset of First Order Stochastic improvements. This gives a testable
implication between the disappointment aversion model, and alternatives, including expected
utility. I also discuss previously noted implications for disappointment aversion in helping
explain the equity premium puzzle.
ContributorsWarrier, Raghav (Author) / Schlee, Edward (Thesis director) / Almacen, Christopher (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Economics Program in CLAS (Contributor) / Computer Science and Engineering Program (Contributor)
Created2024-05
Description
Manually determining the health of a plant requires time and expertise from a human. Automating this process utilizing machine learning could provide significant benefits to the agricultural field. The detection and classification of health defects in crops by analyzing visual data using computer vision tools can accomplish this. In this paper, the task is completed using two different types of existing machine learning algorithms, ResNet50 and CapsNet, which take images of crops as input and return a classification that denotes the health defect the crop suffers from. Specifically, the models analyze the images to determine if a nutritional deficiency or disease is present and, if so, identify it. The purpose of this project is to apply the proven deep learning architecture, ResNet50, to the data, which serves as a baseline for comparison of performance with the less researched architecture, CapsNet. This comparison highlights differences in the performance of the two architectures when applied to a complex dataset with a multitude of classes. This report details the data pipeline process, including dataset collection and validation, as well as preprocessing and application to the model. Additionally, methods of improving the accuracy of the models are recorded and analyzed to provide further insights into the comparison of the different architectures. The ResNet-50 model achieved an accuracy of 100% after being trained on the nutritional deficiency dataset. It achieved an accuracy of 88.5% on the disease dataset. The CapsNet model achieved an accuracy of 90% on the nutritional deficiency dataset but only 70% on the disease dataset. In comparing the performance of the two models, the ResNet model outperformed the other; however, the CapsNet model shows promise for future implementations. With larger, more complete datasets as well as improvements to the design of capsule networks, they will likely provide exceptional performance for complex image classification tasks.
ContributorsChristner, Drew (Author) / Carter, Lynn (Thesis director) / Ghayekhloo, Samira (Committee member) / Barrett, The Honors College (Contributor) / Computing and Informatics Program (Contributor) / Computer Science and Engineering Program (Contributor)
Created2024-05