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Computer Vision Based Early Intraocular Pressure Assessment From Frontal Eye Images
No full textIntraocular Pressure (IOP) in general, refers to the pressure in the eyes. Gradual increase of IOP and high IOP are conditions or symptoms that may lead to certain diseases such as glaucoma, and therefore, must be closely monitored. While the pressure in the eye increases, different parts of the eye may become affected until the eye parts are damaged. An effective way to prevent rise in eye pressure is by early detection. Exiting IOP monitoring tools include eye tests at clinical facilities and computer-aided techniques from fundus and optic nerves images. In this work, a new computer vision-based smart healthcare framework is presented to evaluate the intraocular pressure risk from frontal eye images early-on. The framework determines the status of IOP by analyzing frontal eye images using image processing and machine learning techniques. A database of images from the Princess Basma Hospital was used in this work. The database contains 400 eye images; 200 images with normal IOP and 200 high eye pressure case images. This study proposes novel features for IOP determination from two experiments. The first experiment extracts the sclera using circular hough transform, after which four features are extracted from the whole sclera. These features are mean redness level, red area percentage, contour area and contour height. The pupil/iris diameter ratio feature is also extracted from the frontal eye image after a series of pre-processing techniques. The second experiment extracts the sclera and iris segment using a fully conventional neural network technique, after which six features are extracted from only part of the segmented sclera and iris. The features include mean redness level, red area percentage, contour area, contour distance and contour angle along with the pupil/iris diameter ratio. Once the features are extracted, classification techniques are applied in order to train and test the images and features to obtain the status of the patients in terms of eye pressure. For the first experiment, neural network and support vector machine algorithms were adopted in order to detect the status of intraocular pressure. The second experiment adopted support vector machine and decision tree algorithms to detect the status of intraocular pressure. For both experiments, the framework detects the status of IOP (normal or high IOP) with high accuracies. This computer vison-based approach produces evidence of the relationship between the extracted frontal eye image features and IOP, which has not been previously investigated through automated image processing and machine learning techniques from frontal eye images
Why Common Spaces are Important in Dormitories?
No full textWith increased diversity, common places in students’ residential have helped schools to embrace diversity positively. They enhanced equity among all students and encouraged them to work in harmony even in classes. This has been possible through interaction based mode of learning which has equipped students with interpersonal skills that will help them cope even in the real world
Analysis of Potential Protein Biomarkers in Epithelial Ovarian Cancer Using the Gene Expression Omnibus Database
No full textMichelle Davis and Ruba Deeb's poster examining the use of the Gene Expression Omnibus database to identify genetic protein biomarkers of epithelial ovarian cancer
Key Solution to Vehicle Purchase Process Using Blockchain Technology
No full textMuch of everyday shopping such as groceries, clothes, household or vehicle involve human presence in the relevant department. Vehicle sale and purchase depends on dealer's reliability in terms of how precise or accurate the car fax report is. The emission report and vehicle’s history of repair helps client in making the right decision regarding the purchase. The process of vehicle purchase, payment, getting it insured and registered at DMV is a long and tedious work. We present a Blockchain technology based Smart Contractor solution, that will provide all this tedious work on behalf of a person. We present two step approach to the vehicle purchase process, converting the existing business flow of purchase process into Blockchain ledger and design a Smart Contractor
Engagement & Disillusionment in High School Chorus
No full textFrank Martignetti's poster examining both engaged and disillusioned students in a vibrant New York City high school chorus
Exploring Implementing a CMA Program into an Undergraduate Accounting Program
No full textMarc Lewis and Evelin Perez Maldonado's poster on implementing a certified management accountant program into an undergraduate accounting program
Perspectives of College Students With Substance Use Disorders and the Role of Emotional Intelligence on Student Success And Well-Being
No full textThere are barriers that college students face on their collegiate journey as they pursue their degree. The barriers affect well-being and the success of students and higher education institutions need to be at the forefront of dynamic and comprehensive student support systems for students to persist and be successful. The purpose of this mixed methods research case study was to describe college substance use disorders students’ perceptions of the role that Emotional Intelligence (EI) plays in their college success and well-being. A constructivist worldview and the Emotional Intelligence (EI) Framework was employed to garner information that would assist educational leaders to develop programs that would directly target students with substance use and abuse concerns to develop their EI.
The overarching question that guided this research was: What are the SUDs students’ perceptions of the role that EI plays in their college success and well-being? Sub-questions included (a) What meaning do SUDs college students assign to EI?; (b) Do SUDs college students feel that EI plays a role in their well-being?; (c) Do SUDs college students feel that EI plays a role in their college success?; (d) Is there a correlation between EI and success in SUDs students and if so, what is it?; (e) Is there a correlation between EI and well-being in SUDs students and if so, what is it? It was hypothesized that substance users with high EI would have higher grade point averages and positive life satisfaction scores. Self-reported surveys and a custom questionnaire was used to collect the data from undergraduate, full-time, college students. Through quantitative analysis, it was found that SUDs students that had high EI scores (≥137) also had high life satisfaction scores, however not all subjects that had high EI scores had high GPA scores. The qualitative findings revealed students wanted to be met where they are and do in fact believe that EI and well-being are important components to their college success. It was concluded that the perspectives of college students with substance use and abuse concerns did value Emotional Intelligence and well-being and would like programs to be developed to assist them in developing those skills
Mediated Policy Effects of Foreign Governments on Iraqi Independent Media During Elections
No full textFaculty Research Day 2018: Faculty Competitive Poster WinnerI use the term, mediated policy, to refer to messages about Iraq sent by international news media outlets of foreign governments during the Iraqi parliamentary elections of 2010, and I hypothesize that US Mediated Policy, Iranian Mediated Policy, and Saudi Mediated Policy are three latent constructs interacting in a structural model where they influence a fourth latent variable, Iraqi Independent Media. To feed the model with data, I run a content analysis of relevant international and domestic media coverage. I measure saliences (i.e., quantities) of two news media frames, Former Iraqi Prime Minister Nouri al-Maliki and Former Iraqi Prime Minister Ayad Allawi. The analysis shows that in 2010: (1) English represented a barrier to Iraqi independent media. (2) US foreign policy simultaneously dealt with two opposing regional policies, Iranian and Saudi. (3) There were significant policy messages about Iraq carried by international news media of foreign governments, which evidently influenced Iraqi independent media
Building Places of Value Spinnaker Real Estate Partners
No full textSpinnaker Real Estate Partners is a company dedicated to acquiring, developing, and managing commercial and residential properties. Based in Fairfield County, Connecticut, they primarily focus on developing mixed use properties and repurposing industrial facilities. Spinnaker is characterized not only for creating a space, but also for creating communities and places of value
Patient Demographics at an Urban Acupuncture Teaching Clinic
No full textThe primary aim of our study was to describe the demographic characteristics of acupuncture patients in an urban teaching clinic and the diagnoses of those patients. The demographics of those seeking acupuncture treatments at the University of Bridgeport Acupuncture Institute clinic are primarily female, mostly Caucasian, with an average age of 55.7 years. Traditional Chinese Medicine (TCM) patient demographics at an urban teaching clinic match those in other settings around the world