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    Potential impact of artificial intelligence in cardiovascular medicine

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    Artificial intelligence (AI), particularly machine learning (ML), is increasingly transforming cardiovascular medicine by enhancing diagnostic accuracy, imaging analysis, risk prediction, and treatment planning. AI applications in imaging, such as echocardiography, cardiac computed tomography (CT), and magnetic resonance imaging (MRI), improve detection, automate measurements, and reduce variability. Deep learning models interpret electrocardiograms (ECGs) with high accuracy in electrophysiology, aiding early diagnosis of arrhythmias and inherited syndromes. In cardio-oncology, AI identifies cardiovascular risk markers in cancer patients and monitors therapy-related cardiotoxicity. AI-driven tools also support real-time procedural guidance and individualized therapy using electronic health records and imaging data. Despite promising outcomes, concerns about generalizability, data security, and algorithmic fairness remain. Nonetheless, AI represents a natural evolution in cardiovascular care, offering a path toward more precise, efficient, and patient-centered medicine

    Analysis and authentication of an optical method for early detection of harmful algal blooms

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    The proliferation and frequency of harmful algal blooms (HABs) attributed to eutrophication, storm events and a changing climate have been an increasing concern in both lotic and lentic freshwater ecosystems. Methods of detecting HABs have been explored through fluorescent measurement and sample analysis, but are often expensive and time-consuming. A novel smart device application is in development to detect HABs based on images captured and analyzed by machine learning algorithms trained to distinguish potential cyanobacterial blooms. The HABs App model accurately detected cyanobacteria in strong relationship with biovolume concentrations (R2 = 0.996) within the Greenup Pool of the Ohio River, a system with many factors that may contribute to algal blooms. This accuracy was compared to weaker relationships observed using the bbe AlgaeTorch (R2 = 0.562) and an YSI EXO2 Multiparameter Sonde (R2 = 0.162). The mean ratio of cyanobacteria to green algae biovolume (0.336) was also compared with the EXO2 sonde (0.044), bbe AlgaeTorch (0.500) and HAB App model (0.200). With the EXO2 sonde, immobile and underestimating, and bbe AlgaeTorch, mobile but overestimating, further analysis of a machine learning-based method with low cost and user flexibility is warranted

    20250724: Margueride Elizabeth Powers Hensley Student Collection, 1940-1999

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    These items include materials from an Alumnus\u27 family member about a student who graduated from Marshall College in 1940. They were received in 2025. Materials in this collection include a Bachelor\u27s Degree, Commencement Materials, a short sleeved t-shirt with Marshall College written on the John Marshall emblem, an infamous green cap with a white M on the front, a framed photograph of the student this collection belonged to, and a Herald-Dispatch copy of the MAC Championship from December 4, 1999

    Predation of \u3ci\u3eAegaeobuthus nigrocinctus\u3c/i\u3e (Ehrenberg, 1828) (Scorpiones: Buthidae) by a Middle East Black Tarantula, \u3ci\u3eChaetopelma olivaceum\u3c/i\u3e (C. L. Koch, 1841) (Araneae: Theraphosidae) in Lebanon

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    I report the first documented case of the buthid scorpion Aegaeobuthus nigrocinctus (Ehrenberg, 1828) serving as prey for the tarantula Chaetopelma olivaceum (C. L. Koch, 1841) in Lebanon. The observation was made during a nocturnal survey in the Mount Lebanon region. The case contributes to the limited records of tarantula predation on scorpions and underscores the role of prey-predator size asymmetry in facilitating high-risk predation among arachnids

    The Minutes of the Marshall University Staff Council Meeting, April 2025

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    20250819: Student Affairs, 1858-2007

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    These items include materials from the office of Student Affairs at Marshall University from 1958-2007. Items were received prior to 2008 but were not accessioned until 2025. Items from this collection include notable materials from Division of Student Affairs, including New Student Orientation Folders, Coffee House Events, Student Activity Flyers, Cinema Programs, Financial Aid Records, Resident Advisor and Night Supervisor, Student Health Education Programs Publication/newsletter Wellness Ways , the Women\u27s Center newsletter Ms. Quotes , and other events across campus. Please download the finding aid for a full list of contents

    20251201: Black United Students Funeral Itineraries, 1970

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    These items include materials donated by Craig T. Greenlee from the Black United Students organization and consists of funeral itineraries for the associated Marshall University football players killed in the plane crash

    The Minutes of the Marshall University Staff Council Meeting, November 2025

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    The Minutes of the Marshall University Staff Council Meeting, September 2025

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    The Controlled Substances Act: A Menagerie of Arbitrary Regulation and Failure of Purpose

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    The Controlled Substances Act (CSA) is the primary regulatory and criminal legislation surrounding drugs in the United States. Passed in the 1970s, the CSA established the drug classification scheduling system we use today. Despite being over 50 years old today, the CSA has not achieved its goal of eliminating or even significantly reducing drug use and offenses. This paper conducts an analysis of the CSA\u27s legislative intent versus its actual results through reviews of measures such as incarceration rates, inconsistent regulation, and disproportionate racial effects to argue that the Controlled Substances Act has failed in its mission while causing significant unintended harm

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