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Old Growth in the Runkle Woods
Get PDFIn this conservation proposal, Wright State students focus on protecting the old growth areas of Runkle Woods—a rare and ecologically significant habitat in the Eastern United States, where only about 1% of such forests remain. Home to trees over 200 years old and critical species like endangered bats and white oaks, this 100-acre area faces threats from invasive species, deer overpopulation, littering, and urban runoff. Currently, only 15 acres are legally protected. The students propose expanding the easement, involving experts and graduate students in ongoing research and stewardship, and increasing public engagement through educational walks and increased and updated signage. Their plan aims to preserve biodiversity, strengthen ecological resilience, and foster long-term community investment in forest conservation
Water Quality Management in the Runkle Woods
Get PDFThis project addresses the growing issue of salt pollution in Wright State Woods, with a specific focus on sodium chloride runoff from deicing agents. Elevated salt levels, stemming from university parking lots and surrounding infrastructure, have been linked to soil degradation, vegetation stress, and aquatic habitat damage. By analyzing salt flow patterns and assessing ecological impacts, including EPA-reported chloride violations, the team identified critical areas of concern such as Outfall #2. Proposed mitigation strategies include the use of salt-tolerant tree species, alternative deicers (e.g., acetate- or carbohydrate-based), physical barriers, and expanded retention ponds and filter dams
2024 Residency Match Results
Get PDFWright State\u27s Boonshoft School of Medicine residency match results for 2024.https://corescholar.libraries.wright.edu/residency_match/1022/thumbnail.jp
Experimental Validation of Two Highly Loaded Low Pressure Turbine Blades at High Speed Low Reynolds Number Conditions
Get PDFIn the constant search for more efficient engines, one approach to gain performance is to reduce the weight of the low pressure turbine (LPT) module. This module can account for up to 30% of the total engine weight [1], and a reduction in LPT weight results in clear gains to engine performance and a reduction in engine cost. High lift airfoils accomplish this weight reduction by each blade extracting a larger amount of work from the flow and thus requiring fewer blades to drive the compressor when compared to conventional blades. However, high lift LPT blades, quantified by a high Zweifel loading coefficient Zw\u3e1.15, encounter increasing loss at low Reynolds numbers. Named Reynolds lapse, this effect is problematic if the engine must operate at high altitude cruise conditions such as the case with unmanned air vehicles. The two airfoils of this study, the L2FHW and the L3FHW, were designed to be front loaded and to demonstrate favorable low Reynolds number loss characteristics. Both airfoils were tested in the Transonic Turbine Cascade (TTC) at the Air Force Research Laboratory Building 18 Test Cell 21. The TTC is capable of high Mach number and low Reynolds number flow via independent control of each. Each airfoil was tested across a broad range of Mach numbers: exit Mach 0.78 down to 0.2 and exit Reynolds numbers from 23,000 to 201,000. Across each condition an exit total pressure traverse yielded the loss coefficient of the cascade at that condition. It was found that across all design exit Mach conditions, 0.78, both airfoils experience fully attached flow and nearly flat loss behavior. This strongly aligns with the design level predictions made. At conditions beyond expected operating conditions, the L2FHW displayed resistance to un-reattaching separations at all conditions down to exit Mach 0.2 Reynolds number 23,300. The L3FHW showed un-reattaching separations at only the most extreme condition tested, exit Mach 0.2 and Reynolds number 25,300. Both airfoils showed smooth gradually increasing levels of loss rather than sharp discontinuous jumps that are present in other highly loaded airfoils. The results show that both airfoils may operate across a broad operating range without fear of suddenly incurring a significant reduction in performance. Such increases in loss would negate any performance benefits made from a reduction in engine weight. The success of the airfoils in this Tech Readiness Level 3 test shows the promise in highly loaded LPT blades. The performance of the airfoils in future higher fidelity tests, such as annular cascades and rotating stages, is the source of much interest in the turbomachinery industry
Effects of Geometric Isomerism on Benzothiazole-Carbazole Based TADF Emitters in Poly(Arylene Ether)s
Get PDFThermally activated delayed fluorescence (TADF) small molecules have dominated the literature for their use in OLED devices. The use of TADF polymers has been employed to correct for processing issues that small molecules face, providing increased thermal stability and supportive electronic structures. A TADF chromophore based on a 2-(2,6-difluorophenyl)-benzothiazole-carbazole donor-acceptor pair was synthesized via a copper (I) catalyzed reaction. The chromophore exhibited peak absorption at 340 nm and emission at 477 nm. The resulting chromophore was incorporated into a poly(arylene ether) (PAE) backbone via nucleophilic aromatic substitution (NAS) with 4,4’-biphenol, 4,4’-difluorodiphenyl sulfone, and 2-(2,6-difluorophenyl)-benzothiazole as comonomers. UV/Vis analysis of the polymers in solution in NMP found that peak absorption values ranged from 319 nm to 340 nm. Fluorescence of the polymers found peak emission ranging from 452 nm to 456 nm. Absorption and emission characteristics of polymers are attributed to incorporation of the chromophore. Analysis by differential scanning calorimetry (DSC) determined that the addition of chromophore to a BPDPS backbone decreased glass transition temperatures and improved glass transition temperatures in BP-BTZ polymers when content was increased from 10% to 15%. The final blue-emitting polymers reflected the benefits of increased thermal stability seen in other PAE species as well as the retention of photophysical properties observed by the blue-emitting TADF chromophore
Understanding Patient Profiles In Sickle Cell Disease Using Unsupervised Machine Learning
Get PDFSickle Cell Disease (SCD) is one of the most prevalent genetic blood disorders affecting millions of people worldwide. It is often accompanied by acute and/or chronic pain leading to increased healthcare costs and adverse outcomes. Effective management of SCD requires an understanding of the diverse physiological profiles. This study employs unsupervised machine learning, specifically K-means clustering to categorize the patients suffering with SCD into different clusters based on their vital signs. The main aim is to identify the groups that reflect similarities in physiological and pain profiles, allowing an in-depth analysis to reveal distinctive features distinguishing patient clusters. The project pipeline involved data collection, preprocessing, clustering, cluster validation and statistical analysis of clusters. Following this we found the choice of four clusters to be the best fit for the patient cohort using cluster validity measures with the following physiological behavior: (i) a combination of low blood pressure, high respiration, and elevated heart rates; (ii) low blood pressure and slightly high oxygen saturation; (iii) high blood pressure; and (iv) elevated heart rates. Statistical methods ANOVA (Analysis of Variance) and effect size calculations were performed to validate the obtained clusters and assess the importance and amplitude of feature differences across the clusters. The findings demonstrate the effectiveness of unsupervised learning in revealing patient heterogeneity within SCD population. The study concludes that clustering can play a vital role in enabling healthcare providers with a better understanding of patient-specific needs
Introduction
No full textThis introduction provides an overview of the papers presented at the ASE Sessions at the ASSA 2024 exemplifying the theme: Retaining the Lessons of the Pandemic: Reclaiming the Social in Economic Policy to Address the Challenges of the Future. All three articles incorporate basic principles of social economics
Competency-Based Medical Education and the Education Continuum: Establishing a Framework for Lifelong Learning
Get PDFCompetency Based Medical Education (CBME) is built on the concept that the competencies of learners, both graduates and practicing physicians, should ensure they are ready to meet the ever-changing healthcare needs of patients.1, 2, 3 Education outcomes in a CBME system are defined based on the needs of patients, and in healthy CBME systems, there is a paradigm shift from a focus on process and teachers to outcomes and learners.2,4 CBME should occur across the continuum of one\u27s career, from undergraduate medical education through retirement. Furthermore, learners must be accustomed to driving their own educational processes.4,5 This learner-centered perspective requires pediatricians to develop and fine tune their lifelong learning skills
The Guardian the Month of December 2024
Get PDFNews articles from The Guardian for the Month of December 2024. The Guardian is the official student-run newspaper for Wright State University. It has been published regularly since March of 1965.https://corescholar.libraries.wright.edu/guardian/3671/thumbnail.jp