Matching Items (689)
Filtering by
- Creators: Dean, W.P. Carey School of Business
- Member of: Theses and Dissertations
Description
Surgery as a profession requires significant training to improve both clinical decision making and psychomotor proficiency. In the medical knowledge domain, tools have been developed, validated, and accepted for evaluation of surgeons' competencies. However, assessment of the psychomotor skills still relies on the Halstedian model of apprenticeship, wherein surgeons are observed during residency for judgment of their skills. Although the value of this method of skills assessment cannot be ignored, novel methodologies of objective skills assessment need to be designed, developed, and evaluated that augment the traditional approach. Several sensor-based systems have been developed to measure a user's skill quantitatively, but use of sensors could interfere with skill execution and thus limit the potential for evaluating real-life surgery. However, having a method to judge skills automatically in real-life conditions should be the ultimate goal, since only with such features that a system would be widely adopted. This research proposes a novel video-based approach for observing surgeons' hand and surgical tool movements in minimally invasive surgical training exercises as well as during laparoscopic surgery. Because our system does not require surgeons to wear special sensors, it has the distinct advantage over alternatives of offering skills assessment in both learning and real-life environments. The system automatically detects major skill-measuring features from surgical task videos using a computing system composed of a series of computer vision algorithms and provides on-screen real-time performance feedback for more efficient skill learning. Finally, the machine-learning approach is used to develop an observer-independent composite scoring model through objective and quantitative measurement of surgical skills. To increase effectiveness and usability of the developed system, it is integrated with a cloud-based tool, which automatically assesses surgical videos upload to the cloud.
ContributorsIslam, Gazi (Author) / Li, Baoxin (Thesis advisor) / Liang, Jianming (Thesis advisor) / Dinu, Valentin (Committee member) / Greenes, Robert (Committee member) / Smith, Marshall (Committee member) / Kahol, Kanav (Committee member) / Patel, Vimla L. (Committee member) / Arizona State University (Publisher)
Created2013
Description
The apolipoprotein E (APOE) e4 genotype is the most prevalent known genetic risk factor for Alzheimer's disease (AD). In this paper, we examined the longitudinal effect of APOE e4 on hippocampal morphometry in Alzheimer's Disease Neuroimaging Initiative (ADNI). Generally, atrophy of hippocampus has more chance occurs in AD patients who carrying the APOE e4 allele than those who are APOE e4 noncarriers. Also, brain structure and function depend on APOE genotype not just for Alzheimer's disease patients but also in health elderly individuals, so APOE genotyping is considered critical in clinical trials of Alzheimer's disease. We used a large sample of elderly participants, with the help of a new automated surface registration system based on surface conformal parameterization with holomorphic 1-forms and surface fluid registration. In this system, we automatically segmented and constructed hippocampal surfaces from MR images at many different time points, such as 6 months, 1- and 2-year follow up. Between the two different hippocampal surfaces, we did the high-order correspondences, using a novel inverse consistent surface fluid registration method. At each time point, using Hotelling's T^2 test, we found significant morphological deformation in APOE e4 carriers relative to noncarriers in the entire cohort as well as in the non-demented (pooled MCI and control) subjects, affecting the left hippocampus more than the right, and this effect was more pronounced in e4 homozygotes than heterozygotes.
ContributorsLi, Bolun (Author) / Wang, Yalin (Thesis advisor) / Maciejewski, Ross (Committee member) / Liang, Jianming (Committee member) / Arizona State University (Publisher)
Created2015
Description
Detecting anatomical structures, such as the carina, the pulmonary trunk and the aortic arch, is an important step in designing a CAD system of detection Pulmonary Embolism. The presented CAD system gets rid of the high-level prior defined knowledge to become a system which can easily extend to detect other anatomic structures. The system is based on a machine learning algorithm --- AdaBoost and a general feature --- Haar. This study emphasizes on off-line and on-line AdaBoost learning. And in on-line AdaBoost, the thesis further deals with extremely imbalanced condition. The thesis first reviews several knowledge-based detection methods, which are relied on human being's understanding of the relationship between anatomic structures. Then the thesis introduces a classic off-line AdaBoost learning. The thesis applies different cascading scheme, namely multi-exit cascading scheme. The comparison between the two methods will be provided and discussed. Both of the off-line AdaBoost methods have problems in memory usage and time consuming. Off-line AdaBoost methods need to store all the training samples and the dataset need to be set before training. The dataset cannot be enlarged dynamically. Different training dataset requires retraining the whole process. The retraining is very time consuming and even not realistic. To deal with the shortcomings of off-line learning, the study exploited on-line AdaBoost learning approach. The thesis proposed a novel pool based on-line method with Kalman filters and histogram to better represent the distribution of the samples' weight. Analysis of the performance, the stability and the computational complexity will be provided in the thesis. Furthermore, the original on-line AdaBoost performs badly in imbalanced conditions, which occur frequently in medical image processing. In image dataset, positive samples are limited and negative samples are countless. A novel Self-Adaptive Asymmetric On-line Boosting method is presented. The method utilized a new asymmetric loss criterion with self-adaptability according to the ratio of exposed positive and negative samples and it has an advanced rule to update sample's importance weight taking account of both classification result and sample's label. Compared to traditional on-line AdaBoost Learning method, the new method can achieve far more accuracy in imbalanced conditions.
ContributorsWu, Hong (Author) / Liang, Jianming (Thesis advisor) / Farin, Gerald (Committee member) / Ye, Jieping (Committee member) / Arizona State University (Publisher)
Created2011
Description
Unsupervised learning of time series data, also known as temporal clustering, is a challenging problem in machine learning. This thesis presents a novel algorithm, Deep Temporal Clustering (DTC), to naturally integrate dimensionality reduction and temporal clustering into a single end-to-end learning framework, fully unsupervised. The algorithm utilizes an autoencoder for temporal dimensionality reduction and a novel temporal clustering layer for cluster assignment. Then it jointly optimizes the clustering objective and the dimensionality reduction objective. Based on requirement and application, the temporal clustering layer can be customized with any temporal similarity metric. Several similarity metrics and state-of-the-art algorithms are considered and compared. To gain insight into temporal features that the network has learned for its clustering, a visualization method is applied that generates a region of interest heatmap for the time series. The viability of the algorithm is demonstrated using time series data from diverse domains, ranging from earthquakes to spacecraft sensor data. In each case, the proposed algorithm outperforms traditional methods. The superior performance is attributed to the fully integrated temporal dimensionality reduction and clustering criterion.
ContributorsMadiraju, NaveenSai (Author) / Liang, Jianming (Thesis advisor) / Wang, Yalin (Thesis advisor) / He, Jingrui (Committee member) / Arizona State University (Publisher)
Created2018
Description
This project uses Kenneth Burke’s theory of dramatism and the pentad to analyze popular narrative films about human sex trafficking. It seeks to understand the relationship between a film’s dominant philosophy (as highlighted by utilizing Burke’s pentad), its inherently suggested solutions to trafficking, and the effect that the film has on viewers’ perception of trafficking. 20 narrative feature films about sex trafficking such as the 2008 film Taken were analyzed for this study. Three out of five of Burke’s philosophies were uncovered after analysis: idealism, mysticism, and materialism. Films that aligned with idealism were found to implicitly blame women for their own trafficking. Films that aligned with mysticism were found to rally audiences around violence and racism as opposed to women’s freedom. Films that aligned with materialism were found to be the most empathetic towards trafficked women. The conclusion of this paper is that films about sex trafficking have a high potential to be harmful to women who have exited trafficking. This paper asserts that the most valuable films about trafficking are those that are not simply based on a true story but are created by trafficking survivors themselves, such as the 2016 film Apartment 407.
ContributorsHamby, Hannah Mary (Co-author) / Raum, Brionna (Co-author) / Edson, Belle (Thesis director) / Zanin, Alaina (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Hugh Downs School of Human Communication (Contributor) / School of Film, Dance and Theatre (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
This document is a proposal for a research project, submitted as an Honors Thesis to Barrett, The Honors College at Arizona State University. The proposal summarizes previous findings and literature about women survivors of domestic violence who are suffering from post-traumatic stress disorder as well as outlining the design and measures of the study. At this time, the study has not been completed. However, it may be completed at a future time.
ContributorsKunst, Jessica (Author) / Hernandez Ruiz, Eugenia (Thesis director) / Belgrave, Melita (Committee member) / School of Music (Contributor) / Dean, W.P. Carey School of Business (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
While there are many characteristics that make up a woman, femininity is one that is difficult to define because it is a communication and expression practice defined by culture. This research explores historical accounts of femininity in the 1950s as seen through the exemplar of the white, middle-class "happy homemaker" or "happy housewife." The 1950s is important to study in light of changing gender and social dynamics due to the transition from World War II to a period of prosperity. By using primary sources from the 1950s and secondary historical analyses, this research takes the form of a sociological accounting of 1950s' femininity and the lessons that can be applied today. Four cultural forces led to homemakers having an unspoken identity crisis because they defined themselves in terms of relationship with others and struggled to uphold a certain level of femininity. The forces are: the feminine mystique, patriotism, cultural normalcy, and unnecessary choices. These forces caused women to have unhealthy home relationships in their marriages and motherhood while persistently doing acts to prove their self-worth, such as housework and consuming. It is important to not look back at the 1950s as an idyllic time without also considering the social and cultural practices that fostered a feminine conformity in women. Today, changes can be made to allow women to express femininity in modern ways by adapting to reality instead of to outdated values. For example, changes in maternity leave policies allow women to be mothers and still be in the workforce. Additionally, women should find fulfillment in themselves by establishing a strong personal identity and confidence in their womanhood before identifying through other people or through society.
ContributorsHeinauer, Richelle Diane (Author) / Brouwer, Daniel (Thesis director) / Haskin, Jennifer (Committee member) / Hugh Downs School of Human Communication (Contributor) / Sanford School of Social and Family Dynamics (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
The Centers for Disease Control and Prevention in the United States announced that there has been roughly a 50% increase in the prevalence of food allergies among people between the years of 1997 - 2011. A food allergy can be described as a medical condition where being exposed to a certain food triggers a harmful immune response in the body, known as an allergic reaction. These reactions can range from mild to fatal, and they are caused mainly by the top 8 major food allergens: dairy, eggs, peanuts, tree nuts, wheat, soy, fish, and shellfish. Food allergies mainly plague children under the age of 3, as some of them will grow out of their allergy sensitivity over time, and most people develop their allergies at a young age, and not when they are older. The rise in prevalence is becoming a frightening problem around the world, and there are emerging theories that are attempting to ascribe a cause. There are three well-known hypotheses that will be discussed: the Hygiene Hypothesis, the Dual-Allergen Exposure Hypothesis, and the Vitamin-D Deficiency Hypothesis. Beyond that, this report proposes that a new hypothesis be studied, the Food Systems Hypothesis. This hypothesis theorizes that the cause of the rise of food allergies is actually caused by changes in the food itself and particularly the pesticides that are used to cultivate it.
ContributorsCromer, Kelly (Author) / Lee, Rebecca (Thesis director) / MacFadyen, Joshua (Committee member) / Sanford School of Social and Family Dynamics (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
Fashion is individual in its expression. It is also universal. Fashion is a cumulation of different influences and different interpretations. We currently live in a climate divided by race, culture, gender, and so much more. It is so difficult to find common ground on a global platform. Something that stands alone is fashion. Fashion is influenced by so many aspects. Of these, aspects that I am interested in are culture and sustainability. When combined with culture, fashion can anchor and have a root to the generations that came before us. When combined with sustainability, we have an anchor to the planet that we share with everyone. The result of fashion is always the same, beautiful art. I want people to see the beauty not only in the art itself, but the differences and similarities that such art provides. We all come from the same world but have different ways of expressing that world. My goal is to show people that they need to acknowledge the differences but can choose to see the similarities of each culture. Additionally, I redesign garments that capture an emotion and a story. Making each piece individual yet serving a greater purpose sustainability wise. I envision the principle of sustainable fashion to be the basis of each piece of clothing. Therefore, for my creative project I am constructing five art pieces representing five cultures that has had a significant influence on my life and personal style. These cultures are those of UAE, Germany, Nepal, Mexico, and Spain. Each of these garments are made from recycled fabric and clothing donated by family and friends. My objective is to display sustainable fashion that has deep cultural influence. Every piece has a story and an emotion attached as well to create a connection with the clothing itself.
ContributorsKreiser, Samantha Miren (Author) / Chhetri, Nalini (Thesis director) / Ellis, Naomi (Committee member) / Dean, W.P. Carey School of Business (Contributor, Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Everyone has a story to tell. Marketing nowadays is less about what is being made and more about how it is being told. Integrate an exciting or interesting story with sports and that is the ultimate storytelling experience. Social media has completely changed the game for professional teams when it comes to how teams are telling their digital stories and engaging with fans. Entire social media teams exist in these organizations, which is something that did not exist not too long ago. The rise in fans experiencing and viewing social media platforms is altering how teams engage, connect, and communicate with fans.
When it comes to my story, I wanted to make sure I told one that was interesting, relevant and worthwhile. I felt lost for quite some time in regards to what direction I wanted to take with my thesis. After meeting with Dan Moriarty and Kevin Brilliant of the Chicago Bulls during an outreach trip with the Sports Business Association, I knew I wanted to gain more insight into how teams are telling their digital stories and connecting with their fans. I wanted to learn more about how teams across the country are playing the game of social media and what strategies they put into place to be impactful and successful. I wanted to learn the value teams found in social media and how social media impacts the organizations as a whole, specifically in revenue generation. Most importantly, I wanted to learn how teams are engaging with fans and how social media has changed the world of sports. This research includes insights from various individuals in the industry as well as survey data from W. P. Carey students. The accumulation of this thesis has resulted in a closer look into social media in the sports industry and how teams are measuring success in the digital space.
When it comes to my story, I wanted to make sure I told one that was interesting, relevant and worthwhile. I felt lost for quite some time in regards to what direction I wanted to take with my thesis. After meeting with Dan Moriarty and Kevin Brilliant of the Chicago Bulls during an outreach trip with the Sports Business Association, I knew I wanted to gain more insight into how teams are telling their digital stories and connecting with their fans. I wanted to learn more about how teams across the country are playing the game of social media and what strategies they put into place to be impactful and successful. I wanted to learn the value teams found in social media and how social media impacts the organizations as a whole, specifically in revenue generation. Most importantly, I wanted to learn how teams are engaging with fans and how social media has changed the world of sports. This research includes insights from various individuals in the industry as well as survey data from W. P. Carey students. The accumulation of this thesis has resulted in a closer look into social media in the sports industry and how teams are measuring success in the digital space.
ContributorsMaguire, Allison Marie (Author) / Eaton, John (Thesis director) / Mokwa, Michael (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05