RSS 1.0Welcome to the SUNY Open Access Repository
The SUNY Open Access Repository (SOAR) is a centrally managed online digital repository that stores, indexes, and makes available scholarly and creative works of SUNY faculty, students, and staff across SUNY campuses. SOAR serves as an open access platform for those SUNY campuses that do not have their own open access repository environments.
Access to SUNY campus communities in SOAR are available below under SUNY sectors and also listed alphabetically under the Campus Communities in SOAR on the navigation bar on the left.
Additional information includes
- Approved SUNY Campus Open Access Policies (clicking on this link will take you out of SOAR)
- Links to additional SUNY repositories
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Communities in SUNY Open Access Repository
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Recently Added
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Why Patients Miss Their Appointments, Health Care No-Show AppointmentIn healthcare, extensive data is collected daily to track patient appointments, whether for routine checkups or evaluations of specific symptoms. However, missed appointments are a common issue with significant implications for both patients and healthcare providers. For patients, missed appointments can delay the diagnosis and treatment of health conditions, potentially worsening outcomes. For clinics and hospitals, no-shows lead to inefficient use of resources and lost opportunities to deliver care to other patients who may need it urgently. This study aims to leverage predictive analytics to identify patterns in missed appointments. Specifically, it will explore whether certain health conditions, such as hypertension and diabetes, or demographic factors, including age, gender, and neighborhood, are associated with a higher likelihood of missing appointments. By analyzing these correlations, the study seeks to provide insights that can inform strategies to reduce no-show rates, enhance patient care, and optimize resource allocation within healthcare settings.
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Analyzing Factors Contributing to Pedestrian Fatalities Using Predictive ModelsPedestrian fatalities are a significant issue worldwide, particularly in the United States. These fatalities stem from various causes, including distracted driving, speeding, inadequate road maintenance, and poor visibility due to weather conditions. The risk also varies heavily by area and population density, with high-traffic and high-speed regions often prioritizing vehicle flow over pedestrian safety. The National Highway Traffic Safety Administration (NHSTA) collects extensive accident data involving pedestrians. Using this dataset, we aim to build a classification model to predict the likelihood of one or more fatalities in a traffic accident given key factors like road conditions, weather, time of day, speed and more. The goal of this research is to leverage predictive modeling to identify high-risk situations and develop intervention or fast reaction strategies. By combining NHTSA data with machine learning techniques, this study enhances our understanding of critical risk factors. Furthermore, it explores the potential for practical applications, such as improved road safety tools, safer urban planning, and real-time alert systems.
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A Scoping Review of the Healthcare and Hygiene Literature for Individuals with Intellectual and Developmental DisabilitiesObjectives: Previous reviews highlight the similarities in teaching healthcare and hygiene routines to individuals with and without intellectual and developmental disabilities. Additionally, similar interventions are used when interfering behaviors occur. Although these routines are topographically distinct, there are enough similarities to suggest effective procedures for one routine may be used to inform another. This scooping review aims to identify effective teaching and intervention procedures for healthcare and hygiene routines specifically for individuals with intellectual and developmental disabilities. We also evaluated the extent to which functional analyses were conducted; a dimension not included in previous reviews. Methods: Eligible articles targeted compliance or tolerance within the context of a defined healthcare or hygiene routine as a dependent variable and used an experimental design with a demonstration of experimental control. Articles were identified through PsycINFO, PubMed, and Academic Search Premier databases. Additionally, a hand search of five related journals was conducted. Data were collected on dependent variables, functional analyses, baseline contingencies, teaching procedures, and additional experimental components. Results: A total of 52 articles met inclusion criteria. Most experiments produced positive outcomes. The findings show all experiments involved a treatment package with multiple components. The most common teaching procedures were graduated exposure and DRA. A lack of functional analyses and social validity was noted. Conclusions: Component analyses are needed to identify the most effective and efficient procedures. Pyramidal training to teach medical professionals how to provide preventative pyramidal training should be explored.
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Training Staff to Create Equivalence-Based Instruction Materials in QualtricsStaff training is an important line of research to ensure that clinicians in the field of applied behavior analysis provide quality services. One approach to providing training involves the use of asynchronous training materials in which the trainer and trainee do not need to be physically present at the same time. This allows for training despite limited numbers of trainers or geographic restrictions. The purpose of this study was to train participants to create equivalence-based instruction (EBI) materials in Qualtrics, a commercial survey software package. In the first phase of the study, participants experienced a training package consisting of a video model and task analysis that described how to create EBI materials. Phase 2, evaluated whether the EBI materials created in Phase 1 led to equivalence-based responding. Results indicated that the training was effective for training staff and that staff found the training socially acceptable. Results also demonstrated that the EBI materials resulted in the learning of the trained and derived relations.
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Cultural Literacy in MAinstream Education Through Creative DanceThis is a work that was thought of as a means to educate students through dance. The following is an investigation of how I propose this will occur including reasoning, research and summary.