30 research outputs found

    Connecting the Dots: Campus Form, Student Perceptions, and Academic Performance

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    The influence of the built environment on people\u27s behavior and performance is a traditional study topic in urban design. In this article, Amir Hajrasouliha discusses the role of the campus physical environment in student perceptions and in their performance and graduation rates through an investigation of 23 CSU campuses and a survey of 446 students. The author demonstrates that both objective and perceived measures are significantly associated with student academic performance

    Doctor of Philosophy

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    dissertationThis dissertation highlights the impact of campus form on certain university objectives, such as student satisfaction, learning outcomes, safety, and sustainability. I theorized the concept of the "Well-Designed Campus" from the current practice of campus planning and design in the United States of America, and I found significant association between certain dimensions of the "Well-Designed Campus" and the selected university objectives. By analyzing 50 randomly selected university campus master plans in the United States, the top 10 objectives and 100 recommendations were extracted from the selected master plans. Four big ideas were distilled, based on the top 10 objectives: (1) From a commuter campus to a convenient campus; (2) from an isolated campus to a contextual campus; (3) from a fragmented campus to a cohesive campus; (4) from a brown campus to an ecological campus. In addition, from the top 100 recommendations, seven morphological dimensions of campus form were distilled: (1) land use organization (2) compactness (3) connectivity (4) configuration (5) campus living (6) greenness, and (7) context. Based on these dimensions, the "Well-Designed Campus"- the intersection of the four big ideas-is conceptualized as a mixed, compact, well-connected, well-structured, inhabited, green and urbanized campus. I used Structural Equation Modeling (SEM) to evaluate the impacts of the "Well-Designed Campus," by modeling six outcome variables: (1) freshman retention rate as a proxy for overall satisfaction with college life, (2) 6-year graduation rate as a proxy for learning outcome, (3) crime rate as a proxy for safety, (4) STARS as a proxy for sustainability, (5) students commuting behavior, and (6) employees' commuting behavior. The statistical population was universities with high research activities in the United States of America. The hypothesized structural equation models displayed significant association between three campus form dimensions of urbanism (a composite variable from the three morphological dimensions of compactness, connectivity, and context), greenness and campus living with most of the outcome variables considering control variables. Moreover, the "Well-Designed Campus" can provide a theoretical framework for future empirical research on either accepting or rejecting common actions and policies related to campus design

    Lost Spaces as Hidden Assets: A Reflection on a Current Design Issue

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    University campuses face two common problems: lack of facilities for the expanding enrolment numbers, and inadequate spaces for the changing education and recreational needs. Based on his expertise and research, Amir Hajrasouliha discusses the potential of adapting left-over campus open spaces to respond to these needs, adapting their physical and technological capabilities to encourage multiple academic and non-academic functions

    A wellness district for the city of Ventura

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    This article describes the work by a graduate urban design studio from Cal Poly San Luis Obispo’s CRP Department during the Spring Quarter, 2016. Under a contract with the City of Ventura’s, the students explored the notion of a wellness district anchored by two major hospitals, and developed an urban design concept plan that is consistent with the General Plan and the city’s economic strategy

    The utility and risks of therapeutic nanotechnology in the retina

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    The clinical application of nanotechnology in medicine is promising for therapeutic, diagnostic, and surgical improvements in the near future. Nanotechnologies in nano-ophthalmology are in the early stages of application in clinical contexts, including ocular drug and gene delivery systems addressing eye disorders, particularly retinopathies. Retinal diseases are challenging to treat as current interventions, such as intravitreal injections, are limited by their invasive nature. This review examines nanotechnological approaches to retinal diseases in a clinical context. Nanotechnology has the potential to transform pharmacological and surgical interventions by overcoming limitations posed by the protective anatomical and physiological barriers that limit access to the retina. Preclinical research in the application of nanoparticles in diagnostics indicates that nanoparticles can enhance existing diagnostic and screening tools to detect diseases earlier and more easily and improve disease progression monitoring precision

    Clinical Features Distinguishing Diabetic Retinopathy Severity Using Artificial Intelligence

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    BACKGROUND AND HYPOTHESIS: 1 in 29 American diabetics suffer from diabetic retinopathy (DR), the weakening of blood vessels in the retina. DR goes undetected in nearly 50% of diabetics, allowing DR to steal the vision of many Americans. We hypothesize that increasing the rate and ease of diagnosing DR by introducing artificial intelligence-based methods in primary medical clinics will increase the long-term preservation of ocular health in diabetic patients. PROJECT METHODS: This retrospective cohort study was conducted under approval from the Institutional Review Board of Indiana University School of Medicine. Images were deidentified and no consent was taken due to the nature of this retrospective study. We categorized 676 patient files based upon HbA1c, severity of non-proliferative diabetic retinopathy (NPDR), and proliferative diabetic retinopathy (PDR). Retinal images were annotated to identify common features of DR: microaneurysms, hemorrhages, cotton wool spots, exudates, and neovascularization. The VGG Image Annotator application used for annotations allowed us to save structure coordinates into a separate database for future training of the artificial intelligence system. RESULTS: 228 (33.7%) of patients were diagnosed with diabetes, and 143 (62.7%) of those were diagnosed with DR. Two-sample t tests found significant differences between the HbA1c values of all diabetics compared to diabetics without retinopathy (p<0.007) and between all severities of DR versus diabetics without retinopathy (p<0.002). 283 eyes were diagnosed with a form of DR in this study: 37 mild NPDR, 42 moderate NPDR, 56 severe NPDR, and 148 PDR eyes. POTENTIAL IMPACT: With the dataset of coordinates and HbA1c values from this experiment, we aim to train an artificial intelligence system to diagnose DR through retinal imaging. The goal of this system is to be conveniently used in primary medical clinics to increase the detection rate of DR to preserve the ocular health of millions of future Americans.National Institutes of Health: T35 EY 031282 Clinical and Translational Sciences Institute: UL1TR00252

    Patient preferences in retinal drug delivery

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    Retinal vascular diseases (RVDs) are often treated with intravitreally (IVT) injected drugs, with relatively low patient compliance and potential risks. Ongoing research explores alternative RVD treatments, including eye drops and oral tablets. This study surveyed RVD patients treated with IVT injections to establish factors influencing low compliance rates while gauging treatment delivery method preferences. Demographics, perspectives, and treatment preferences were collected via IRB-approved, self-administered survey sent to Glick Eye Institute patients treated via IVT injections. Demographics, diagnoses, and treatments were ascertained from respondents’ medical records. Gender, age, and number of IVT injections received were used as stratifications. Five-level Likert-style scales and t-tests evaluated responses and stratification comparisons. The most common diagnoses in the respondent population (n = 54; response rate = 5%) were age-related macular degeneration, macular edema, and diabetic retinopathy. Respondents had varying levels of education, income, and age. Most (83%) admitted feeling anxious prior to their first IVT injection, but 80% reported willingness to receive IVT injections indefinitely, with a preference for ophthalmologist visits every 1–3 months. Eye drops would be preferred over IVT injections by 76% of respondents, while 65% preferred oral tablets, due to several perceived negative factors of IVT injections and positive factors for eye drops. Stratified groups did not differ in responses to survey questions. RVD patients will accept IVT injections for vision preservation, but alternative delivery methods like eye drops or oral tablets would be preferred. Thus, development of eye drop and oral therapeutics for RVD treatment is further emphasized by these findings
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