Murray State University

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    40102 research outputs found

    Minimized Bank Transaction Analysis through Machine Learning

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    In an increasingly data-centric world, examining bank data becomes crucial for gaining insights into spending habits, making informed decisions, tailoring marketing strategies, and improving customer satisfaction. This project aims to using data analysis and machine learning technologies to analyze the bank transaction data. The dataset contains about 15 million user transaction records collected by fifth-third bank, covering main aspects from transaction amount to merchant’s category and high-level spending categories. To ensure privacy protection, the personal information of customers has been expunged from the dataset. Starting with the basics, this project explores how often transactions occur, unveiling the rhythm of financial interactions. It then delves into regional spending patterns, conducting a geographic analysis to identify key cities where transactions predominantly take place. This project also highlights preferred merchants, showcasing the top frequently visited establishments. These data analysis work acts as a roadmap, guiding the understanding of where preferred merchants and financial priorities lie. Later, machine learning methods are used to discover hidden purchase pattern among the data. This could enable predicting future spending patterns, detecting anomalies, and making more data-driven financial decisions. In essence, this ongoing research project is not just a snapshot of financial transactions but a call to continually explore data-driven insights for improved financial planning and decision-making in the future

    Integrating Academic Productivity and Engagement: A Comprehensive Web Platform for Scholarly Pursuits

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    This poster explores the impact and efficacy of a novel web platform designed to enhance productivity and engagement within the academic community. The platform amalgamates several critical areas: Journals, Conferences, Calls for Papers, Courses, Jobs, and Projects, each tailored to streamline processes related to scholarly activities. Specifically, the “Journals” section facilitates editors in managing submissions and peer reviews efficiently; “Conferences” offers a comprehensive toolkit for organizers to handle submissions, registrations, and presentations; “Calls for Papers” serves as a centralized hub for journal and conference managers to publicize their needs; “Courses” provide an interactive space for academics to disseminate and assimilate knowledge; the “Jobs” section is a resource for institutions to list academic vacancies, connecting potential employers and employees; lastly, the “Projects” section enables researchers to recruit students, participants, and sponsors for their research endeavors. This integration not only simplifies the logistical aspects of academic endeavors but also opens avenues for advanced data processing, analytics, and visualization. The poster discusses how centralizing these functions in one platform leads to more robust data collection and analysis, offering insights into scholarly trends, engagement patterns, and the efficacy of different academic activities. By harnessing the power of data analytics, this platform can potentially predict future academic needs and trends, facilitating proactive adaptations in the scholarly community. Furthermore, the poster presents the result of a study in which we evaluated the potential for this platform to the way academics interact with scholarly materials, manage their professional responsibilities, and engage with the global academic community. In our study, we used a mixed-method approach, combining quantitative data derived from the platform’s analytics with qualitative feedback from its users. Finally, based on our findings, we outline recommendations for further enhancements and potential areas for future research, particularly in the realm of predictive analytics and personalized academic experiences

    Enabling Smart Agriculture with Computer Vision

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    This research project focuses on the development of a computer vision application to detect diseases in five of Kentucky\u27s most commonly exported crops: soybeans, corn, alfalfa (hay), wheat, and tobacco. Using the state-of-the-art YOLOv8 object detection algorithm, we aim to create a robust and versatile tool for disease detection and classification. To facilitate this, we curated and annotated a comprehensive image dataset composed of various disease states and healthy samples for each crop. Our long-term objective is to adapt this application for deployment on drones, which can fly over farms, capturing images and enabling rapid and widespread disease detection, offering farmers the opportunity to respond promptly to potential threats. This research represents a significant contribution to precision agriculture and crop management, addressing the need for efficient disease detection methods in a rapidly evolving agricultural landscape. The integration of computer vision and drone technology has the potential to revolutionize crop monitoring, improve yield predictions, and enhance overall farm productivity, thereby ensuring food security and economic sustainability in Kentucky and beyond

    Do Fish from Streams in Western Kentucky Accumulate Illicit and Psychoactive Drugs?

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    The misuse of drugs, including opioids and stimulants, is a national crisis and affecting public health, as well as the social and economic welfare of the U.S. Kentucky is currently ranked fourth among states for drug overdose deaths, which have increased substantially during the COVID-19 pandemic. Despite the efficient removal of regulatory nutrients by the wastewater treatment plants (WWTP), existing treatment technologies barely remove these down-the-drain polar drugs. Consequently, these drugs are finally discharged into receiving water bodies. The continuous use and discharge of residual drugs and sewer overflow during storms make these drug residues pseudo-persistent in streams. The aim of this project is to determine several illicit and psychoactive drug residues in fish collected from the Clarks River (upstream and downstream of WWTP discharge), Bee Creek, and Mayfield Creek in Western Kentucky. Different species of fish were collected, frozen at -80°C, lyophilized, and extracted with an accelerated solvent extractor. The extracts are cleaned using a unique in-cell cleanup technique and gel permeation chromatography, and they are analyzed with a state-of-the-art ultraperformance liquid chromatography tandem mass spectrometer (UPLC-MS/MS). Chronic exposure and the occurrence of drug residues in fish warrant further studies on the fate and toxicological impacts at different trophic levels of the aquatic food chain

    Impact of Developmental Cigarette Smoke Exposure on Offspring Mortality and Motor Development

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    Kentucky has the second highest rate of maternal cigarette smoking in the country at 15.7%, though the true number is likely higher due to inaccurate self-reports. Constituents of cigarette smoke like nicotine, carbon monoxide, and tar not only can adversely affect the adult smoker but also pose a significant threat to embryonic and fetal development. Children born to mothers who smoked during pregnancy are more likely to be born prematurely and/or underweight, or with physical abnormalities. We developed a revised cigarette smoke exposure (CSE) model lasting 3hrs/day, contrasting with our previous 6hr exposure model, with the goal of assessing whether this new model yields similar outcomes to the 6hr model. Female C57Bl/6 mice were exposed to cigarette smoke (CSE, n=30) or filtered room air (Sham, n = 20) for 3hrs/day starting at 4 days prior to mating and continuing until the day before delivery. Measures analyzed include birth weight and weight gain, eye opening, surface righting, postnatal survival, % fat accumulation, and parameters of liver damage found in plasma after euthanization. We hypothesized that even a moderate daily exposure duration would result in decreased maternal fertility, offspring viability, and delay reflex development. We report a higher postnatal mortality rate in CSE offspring, usually due to failure to thrive. A sex-dependent effect of prenatal CSE on motor development was observed through surface righting on postnatal days 3–8 (p=0.03). We conclude that our cigarette smoking model is sufficient to produce increased offspring mortality and a delay in postnatal motor development, even in the absence of postnatal exposure. We are currently testing prenatal CSE effects on adult metabolic response to a high-fat, high-fructose diet. Funding: NIH R15ES028440-02A

    Generating Tools for Studying the Processes Underlying Energy Conserving Biochemical Reactions

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    The electron transport flavoprotein (ETF) found in mitochondria mediates transfer of electrons in respiration. However anaerobic bacteria such as Acidaminococcus fermentans possess a different type of ETF, which is able to execute electron transfer bifurcation. A. fermentans ETF (AfeETF) couples two electron transfer reactions, producing a more energetic product than the starting material. This is a newly recognized mechanism that naturally conserves energy at the level of electron flow. Thus, the ETF protein is a valuable source of insight for creating novel materials and devices to capture and store energy. The knowledge of how ETF conformational (open or closed) changes are coupled to the reactivity of its cofactor flavin is essential for understanding how to make the electron flow of such reactions more energy efficient. This project aims to test small extensions to the ETF proteins, that will act as steric doorstops, to hold the protein in its closed or open conformation. These extensions are small polypeptide chains that will be attached to the N terminus or C terminus subunit of the AfeETF. Failure of the new constructs to fold properly will be observed via diminished yield or protein fractionation into the insoluble phase after expression, via SDS PAGE. Integrity will be assessed via the stoichiometry of bound flavin and their optical spectra. Being able to hold the conformation in the open or closed state will in turn allow us to control ETF conformation while testing other reaction variables for energy efficiency. Thus, this project will provide key biochemical knowledge to harness biological reactions for sustainable energy solutions

    Enhancing the Safety of Medication Administration: The Synergistic Role of Closed Loop Electronic Medication Management and IV Medication Administration

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    The high acuity of patients in the ICU results in numerous medications being administered, increasing the risk of medication errors. The purpose of this project is to investigate the impact of integrating consistent closed loop electronic medication management (CLEMM) to decrease medication errors in the ICU for bedside nurses who use electronic health records (EHRs). The project type is a comprehensive literature review, with studies that included a single prospective cohort study, case report, single non-randomized trial, quasi experimental study, single cross-sectional studies, and systematic reviews. The importance of this project is to address the break in the loop of communication between healthcare professionals that consequently lead to medication errors and poor patient outcomes. Multiple databases, specifically CINAHL, PubMed, Medline, and Google Scholar, were utilized to explore the literature. The findings suggest that multiple interventions must be incorporated to decrease the rate of medication errors and reduce patient harm. The findings also show that CLEMM, BCMA, and smart IV pumps are interventions that would be effective in reducing the amount of medication errors made in the ICU setting. While published literature displays the benefits of these implementations, further research must be conducted on the specific communication techniques, breaking all communication barriers in order to reduce the overall percentage of medication errors. Implementing CLEMM framework as well as BCMA in hospitals that use EHRs decreases the rate of medication errors in the ICU and ultimately reduces patient harm. Keywords: Closed loop electronic medication management, barcode medication administration, medication errors, IV smart pumps

    Developing a Liquid Nitrogen Cooling System as Sub-System to a Cubesat-Scale Thermal-Vacuum Space Environmental Testing Chamber

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    Documentation for development of Kentucky Space’s Environmental Testing Chamber for CubeSats, a facility of Kentucky Space, Kentucky Science and Technology Corporation, is intended to assist its developers to greater understanding of the dynamics of this facility. Substitute systematic configurations are many; therefore, an optimized system will be designed, built with hardware that is cyrogenically rated, tested with thermocouples, quantitatively analyzed, and redesigned. CubeSats, intended for low Earth orbit, may be subjected to the Kentucky Space Environmental Testing Chamber in preparation for orbital missions. It is known that the near-Earth space environment consists of temperature variation ranging from -30˚ to 60˚ C. Additionally, atmospheric pressure is absent. The focus of this research involves developing the liquid nitrogen (LN2) cooling system to cooperate with the fixed heating and vacuum systems. The heattransfer rate from CubeSat to coolant represents the test-chamber’s unknown variable, while orifice area, Dewar pressure, and flow-rate constitute the known variables. The hypothesis rests on the idea that the quantity of liquid nitrogen required to cool the satellite from 60˚ to -30˚ C can be quantitatively predetermined. Knowledge of both satellite mass and composition will yield specific heat capacity. The cooling medium has quantifiable physical properties. Any deviation found between the nitrogen’s predicted consumption and its experimentally determined consumption may then be reviewed as impetus for further inquiry into related areas such as emissivity and fluid dynamics. It follows that analysis serves to identify the means to enhanced accounting and predictability

    Mountain (Grand) Mamas: Grandparents Raising Grandchildren During the Opioid Epidemic in Appalachian America and Their Portrayal in Media

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    Deep within the hills of Appalachia grandparents are stepping into the familiar role of parenting as many have become the primary caregivers for their grandchildren. These grandparent-headed households (GHHs), a form of kinship care, have increased largely in response to the opioid epidemic that has ravaged the region; children are often left in the care of grandparents as parents experience substance use disorders and, in turn, incarceration. According to the US Census Bureau, over seven million grandparents live with their own grandchildren; over 32 percent of which serve as caregivers and are responsible for these children. The impact of kinship care weighs heavily on children and their caregivers and many often struggle with the financial and mental toll such situations can play on overall wellbeing. They face numerous challenges, including an increased risk of poverty, lack of food security, and social isolation. However, despite these challenges, many grandparent caregivers appreciate and acknowledge the benefits of raising grandchildren. Mass media also has an impact on these caregiver situations, as journalists serve as the gatekeepers of information to audiences and in turn, bear the weight of informing the public of such community issues. By performing a content analysis of several Appalachian news organizations and their coverage of addiction and grandparent-headed households, over a period of six years, alongside personal journalistic written coverage specific to Kentucky and podcast titled “Homestead”, I will argue the negative impact of Appalachian opioid use on children and the creation of GHHs, and the issue’s overarching portrayal in media

    Green Space Accessibility for Urban Agriculture

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    In an increasingly urbanized world, finding the accessibility of green spaces for urban agriculture plays a crucial role for ensuring a sustainable and healthy future. Geographic Information System (GIS) provides a strong and versatile toolset to identify, analyze and enhance the accessibility of these vital green areas. GIS technology can be used to assess, improve, and advocate for accessible urban agriculture spaces to aid in the health and well-being of our planet. These spaces not only can provide fresh produce but can also contribute to environmental sustainability, community resilience, and an improvement in quality of life. GIS allows us to precisely map and analyze the spatial distribution of green spaces available for urban agriculture. Through overlay analysis, proximity studies, and spatial modeling, GIS helps in assessing the accessibility of these spaces for residents, providing for a healthy and sustainable future. This will significantly impact food security, community well-being, and environmental sustainability. Embracing GIS technology in urban planning and agriculture initiatives is a crucial step towards protecting the planet’s health for its inhabitants


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