Digital Commons Network^™

Exploring Relationships Between Practicing Registered Nurses (Rns) Pharmacology Knowledge And Medication Errors, Coleen Kumar

Dissertations

Medication errors result in significant negative patient outcomes and major costs to the health care system. Registered nurses (RNs) assume a major role in the medication administration process demanding high-level knowledge and skills.

This study aimed to determine if there was a relationship between practicing RNs' pharmacology knowledge and medication error occurrence.

Bpsou Buffalo Gulch Forebay Parcel 2023 Expedited Well Abandonment Plan, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Undetermined Coefficients With Hyperbolic Sines And Cosines, Laurie A. Florio, George L. Fischer

CODEE Journal

The method of undetermined coefficients is commonly applied to solve linear, constant coefficient, non-homogeneous ordinary differential equations when the forcing function is from a selected class of functions. Often the hyperbolic sine and cosine functions are not explicitly included in this list of functions. Through a set of guided examples, this work argues that the hyperbolic sine and cosine ought to be included in the select class of functions. Careful explanation is provided for the necessary treatment of the cases where the argument of the hyperbolic sine and/or cosine functions matches one or both of the roots of the characteristic …

Enhanced Capabilities For Investigating Local Structure And Magnetism: Three Dimensional Magnetic Pair Distribution Function And Symmetry Mode Analysis, Parker Hamilton

Theses and Dissertations

The local structure, atomic and magnetic structure correlated over a small length scale, of a material has a strong impact on material properties. Pair distribution function (PDF) analysis is a strong tool to investigate local structure and magnetism of this nature. This work outlines extensions to current one dimensional magnetic pair distribution functions (1D-mPDF) and the fitting of structures with symmetry breaking local atomic distortions. 1DmPDF analysis has been used to study local magnetic structure, but requires a rotational averaging of the correlations so directional information is lost, as in powder diffraction experiments. Three dimensional difference magnetic pair distribution function …

A Multi-Aerial Vehicle Platform For Testing Collaborative Mobility Formation Controllers, Matthew Snellgrove

LSU Master's Theses

Multi-agent systems have potential applications in a multitude of fields due to their ability to perform complex tasks with a high degree of robustness. Decentralized systems are multi-agent systems where sensing, control, and communication responsibilities are distributed amongst the agents giving this scheme a particularly high potential for robustness, adaptability, and complexity; however, this comes with its own list of challenges. Formation control is a topic in multi-agent systems that aims to have the agents moving as a virtual rigid body through space. In the literature, there have been successful implementation of formation control algorithms on robot agents in both …

Optimization Of Electrode Configurations For Calibration-Free, Remote Sensing Of Heavy Metals In Water Using Double-Potenital Step Anodic Coulometry, Jessica Bone

Online Theses and Dissertations

Many areas around the world are known and predicted to suffer from arsenic-contaminated drinking water resulting in elevated medical issues. Current arsenic detection techniques require that a sample be taken at the site, carried to the lab, and then tested by a skilled technician, which is not practical for remote, hard to reach places. In collaboration with researchers at the University of Louisville and the University of Kentucky, we are designing an electrochemical cell for a calibration-free detection technique that can be performed remotely, eliminating the need for on-site technicians, and helping to prevent chronic arsenic poisoning. A validated and …

A Colorfully Natural Twin Higgs Model, Logan Coleman Page

Theses and Dissertations

Twin Higgs models have the potential to explain phenomena outside of the Standard Model and provide an natural explanation of the Higgs mass. Here I explore a new realization of the twin Higgs concept with an SU(4)c symmetry that is spontaneously broken in the Standard Model sector, but remains unbroken in the Twin sector. I detail the phenomenological results produced by this model. I show that this construction leads to a qualitatively new behavior regarding the fine-tuning of the Higgs mass due to the top-quark sector.

Constructing Stellar Mass Models For Early-Type Galaxies With Circumnuclear Disks, Jared R. Davidson

Theses and Dissertations

Dusty circumnuclear disks (CNDs) in luminous early-type galaxies (ETGs) show regular, dynamically cold molecular gas kinematics. For a growing number of these ETGs, Atacama Large Millimeter/sub-millimeter Array (ALMA) CO imaging and detailed gas-dynamical modeling have yielded moderate to high precision black hole (BH) mass (M_BH) determinations. To date, however, few studies have explored the effects of dust attenuation, or uncertainties in dust corrections, on recovered stellar luminosity models from high angular resolution optical/near-IR observations and M_BH measurements. Recent kinematic studies that modeled ALMA CO data sets have found that uncertainties in the intrinsic central stellar surface brightness slope due to …

A Post Pandemic Intervention To Reduce Burnout In Nurses In An Acute Care Setting, Erica J. Larson

DNP and Student Works

The purpose of the project was to determine in nurses working in an acute care setting how a positive psychology intervention (Three Good Things), compared with no positive psychology intervention, affects perceived burnout within a four- week period of time.

Introducing High School Biology Students To Biochemistry With A Short, Content-Oriented Module, Archer Harrold, Allison Cruikshank, Bryan Penas, Rebecca Roston

Department of Chemistry: Faculty Publications

Many STEM disciplines are underrepresented to High School students. This is problematic as many students' decisions for college are shaped by their experiences and achievements in high school. Short content-oriented modules have been shown to encourage science identity and otherwise benefit the students' learning. Following the ASBMB's outreach protocol, we developed a short content-oriented module aimed at a high school biology classroom. Students interacted with 3D models of DNA and transcription factors while exploring structure–function relationships and introductory biochemistry topics. The high school teacher was impressed with the students' response to the module, specifically the ease with which students learned, …

Stability Analyses On The Effect Of Vaccination And Contact Tracing In Monkeypox Virus Transmission, Solomon Eshun, Richmond Essieku, James Ladzekpo

School of Mathematical & Statistical Sciences Faculty Publications

Monkeypox is a significant health concern due to its potential for morbidity and occasional mortality. Vaccination and effective contact tracing play pivotal roles in controlling infectious diseases, including monkeypox. This study aims to contribute to our understanding of monkeypox dynamics by developing a comprehensive mathematical model that incorporates key factors such as vaccination, quarantining, and contact tracing. Through rigorous sensitivity analysis, we explore the impact of varying vaccination coverage and contact tracing on the disease’s dynamics. In particular, we investigate the dynamics of the disease in relation to variable vaccination coverage and contact tracing. Our findings highlight the critical role …

Gravimetric Geoid For Egypt Based On Properly Application Of Helmet's Method Of Condensations With Window Remove-Restore Technique, Atef Makhloof, Hussein A. Abd-Elmotaal, Mostafa Ashry

Mansoura Engineering Journal

This study uses the window-method for merging the gravity field wavelengths inside the remove-restore technique (RRT) to get the gravimetric geoid for Egypt using Helmert's models of condensation. In this case, the window approach (Abd-Elmotaal and Kühtreiber, 2003) was utilized to avert taking the topographic-condensation masses into account twice inside the data frame. A gravimetric geoid for Egypt has been calculated utilizing Helmert's first and second condensations approach and Airy- Heiskanen model. Within the context of the geoid computation, a thorough comparison between the various Helmert approaches and Airy-Heiskanen has been made. The comparison uses the estimated geoid indicators before …

Deep Learning Techniques For Efficient Evaluation Of Asphalt Pavement Condition, Kamel Mahdy, Ahmed Zekry, Mohamed Moussa, Ahmed Mohamed, Hassan Mahdy, Mohamed Elhabiby

Mansoura Engineering Journal

For the last few decades, researchers have been devising a simple and cost-effective method to evaluate pavement distresses to give decision-makers adequate feedbacks about the pavement condition of a certain road. Fortunately, with the evolution and progression of computer vision tools and techniques, good results had been achieved regarding the detection, classification, and quantification of road distress. In this paper, a new efficient process of road distress analysis using deep learning models is introduced. This new process was tested on a collected road dataset to evaluate the efficiency and speed of this low-cost road maintenance system. Promising results were obtained …

Making The Error Bar Overlap Myth A Reality: Comparative Confidence Intervals, Frank S. Corotto

Georgia Journal of Science

Many interpret error bars to mean that if they do not overlap the difference is statistically “significant”. This overlap rule is really an overlap myth; the rule does not hold true for any conventional type of error bar. There are rules of thumb for estimating P values, but it would be better to show error bars for which the overlap rule holds true. Here I explain how to calculate comparative confidence intervals which, when plotted as error bars, let us judge significance based on overlap or separation. Others have published on these intervals (the mathematical basis goes back to John …

N-Shot Benchmarking Of Whisper On Diverse Arabic Speech Recognition, Bashar Talafha, Abdul Waheed, Muhammad Abdul-Mageed

Natural Language Processing Faculty Publications

Whisper, the recently developed multilingual weakly supervised model, is reported to perform well on multiple speech recognition benchmarks in both monolingual and multilingual settings. However, it is not clear how Whisper would fare under diverse conditions even on languages it was evaluated on such as Arabic. In this work, we address this gap by comprehensively evaluating Whisper on several varieties of Arabic speech for the ASR task. Our evaluation covers most publicly available Arabic speech data and is performed under n-shot (zero-, few-, and full) finetuning. We also investigate the robustness of Whisper under completely novel conditions, such as in …

Big 10, Richard C. Crepeau

On Sport and Society

Over the past several weeks the world of college sports has gone into overdrive in an attempt to milk the public for as much cash as is humanly possible. The money game this time around has centered on conferences seeking to expand their membership, which mathematically means shrinking the size of the membership of other conferences or, even better, wiping out the conference competition entirely.

Syllabus For Computational Physics (Phys 39907), Mark D. Shattuck

Open Educational Resources

Syllabus for City College of New York Computational Physics course.

Just-In-Time Training Improves Knowledge And Confidence In Neuraxial Anesthesia In Student Registered Nurse Anesthetists, Amanda Arredondo, Victoria Willis

College of Science and Health Theses and Dissertations

Background: Student registered nurse anesthetists (SRNAs) are required by the Council on Accreditation to complete a minimum of ten spinal and ten epidural procedures. Neuraxial anesthesia, which includes spinal and epidural techniques, are challenging skills to master, requiring deliberate practice and active learning to achieve competency. There may be an extended period between when SRNAs learn the steps and implications of neuraxial procedures, and when they begin performing these skills in the clinical setting. Just-In-Time Training (JITT) is proven to be a successful teaching adjunct to bridge knowledge gaps for healthcare professionals. Purpose: To determine if using JITT, , as …

Isolated & Impulsive: A Quality Improvement Pilot Survey Of The Perceived Icu Nurse Workload Implementing The A2f Care Bundle For Isolated Covid-19 Patients With Delirium., Ranier Calimlim

College of Science and Health Theses and Dissertations

Background: Existing research focused on A2F Care Bundle efficacy to optimize patient care and improve patient outcomes among ICU patients. Perceived workflow evaluation has been validated for healthcare task analysis endorsed by the Agency for Healthcare Research and Quality. A needs assessment was identified to evaluate nursing challenges with the A2F Care Bundle interventions, inform allocation where support and resources may be necessary when providing patient care for isolated patients with COVID-19 delirium.

Purpose: The purpose of this study was to evaluate the perceived workload of ICU nurses when implementing the A2F Care Bundle among isolated COVID-19 patients with delirium. …

Multiple Myeloma: Validation Of The Values And Preferences Elicitation Questionnaire- Cure And Survival Preference Scale (Vpeq-Csps), Anastasiia Savchenko

College of Science and Health Theses and Dissertations

Background: With the emergence of many novel therapies, the treatment decisions for multiple myeloma (MM) are increasingly guided by concerns of quality of life, achievement of cancerfree remission, living a longer overall survival, and a relentless search for a cure; however, the impact of these various treatment options on patients’ choices and lives is mainly unknown. Oncology clinicians face the challenge of uncovering their patient’s preferences and values and putting them into the actual treatment decision-making. Purpose: This study examined the psychometric properties of the Values and Preferences Elicitation Questionnaire-Cure and Survival Preference Scale (VPEQ-CSPS) instrument. Methods: The VPEQ-CSPS instrument …

Impact Analysis Of Gpt Technology Revolution On Fundamental Scientific Research, Mengge Sun, Tao Han, Yanpeng Wang, Yuxin Huang, Xiwen Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The generative large model GPT represented by ChatGPT is developing rapidly, which has aroused extensive discussion in academic circle and the industry and has an incalculable impact on foundational scientific research development. The study first sorts out the development of the GPT technological revolution, and discusses the new changes brought about by this technology in scientific research. Then, based on the three aspects of application status, core principles and innovation subjects, the impact of the GPT technological revolution on basic scientific research and its development suggestions for China are discussed. The study believes that GPT technology can certainly play a …

Research On Multi-Source Heterogeneous Big Data Fusion Based On Wsr, Aihua Li, Weijia Xu, Yong Shi

Bulletin of Chinese Academy of Sciences (Chinese Version)

In the era of multi-source heterogeneous big data, big data presents new features such as cross, diversity and variability. The applications of big data in a wider range of fields have new requirements for data fusion. Under this background, the connotation of data fusion is enriched and expanded. The generalized data fusion includes the fusion of data resources, the fusion of model methods, and the fusion of decision-makers' knowledge and experience. This study analyzes the characteristics of multi-source heterogeneous data fusion at three different fusion levels: data level, information level and decision level, and discusses challenges for data fusion in …

Neutrosophic Laplace Distribution With Application In Financial Data Analysis, Rahul Thakur, S. C. Malik, Masum Raj

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Sets And Systems, Vol. 57,2023, Florentin Smarandache, Mohamed Abdel-Basset, Said Broumi

Neutrosophic Sets and Systems

No abstract provided.

In Silico Prediction Of Acute Chemical Toxicity Of Biocides In Marine Crustaceans Using Machine Learning, Rama Krishnan, Ian S. Howard, Sean Comber, Awadhesh N. Jha

School of Engineering, Computing and Mathematics

Biocides are a heterogeneous group of chemical substances intended to control the growth or kill undesired organisms. Due to their extensive use, they enter marine ecosystems via non-point sources and may pose a threat to ecologically important non-target organisms. Consequently, industries and regulatory agencies have recognized the ecotoxicological hazard potential of biocides. However, the prediction of biocide chemical toxicity on marine crustaceans has not been previously evaluated. This study aims to provide in silico models capable of classifying structurally diverse biocidal chemicals into different toxicity categories and predict acute chemical toxicity (LC50) in marine crustaceans using a set of calculated …

Verifying Empirical Predictive Modeling Of Societal Vulnerability To Hazardous Events: A Monte Carlo Experimental Approach, Yi Victor Wang, Seung Hee Kim, Menas C. Kafatos

Institute for ECHO Articles and Research

With the emergence of large amounts of historical records on adverse impacts of hazardous events, empirical predictive modeling has been revived as a foundational paradigm for quantifying disaster vulnerability of societal systems. This paradigm models societal vulnerability to hazardous events as a vulnerability curve indicating an expected loss rate of a societal system with respect to a possible spectrum of intensity measure (IM) of an event. Although the empirical predictive models (EPMs) of societal vulnerability are calibrated on historical data, they should not be experimentally tested with data derived from field experiments on any societal system. Alternatively, in this paper, …

Pathways For Medium- And Long-Term Sustainable Supply Of Typical Strategic Metals In China In Context Of Carbon Neutrality, Xianlai Zeng, Jinhui Li, Yong Geng, Han Hao, Weirun Huang, Xin Sun

Bulletin of Chinese Academy of Sciences (Chinese Version)

Mineral resources are fundamental materials for economic and social development. Irrational exploration, utilization and consumption not only undermine the security of industrial chain and supply chain, but also seriously damage ecosystem. A new round of technological revolution and carbon neutral strategy is reshaping the global innovation distribution and technical structure. As China's economic and social development advances into post-epidemic stage, the supply and demand structure of strategic metal resources has experienced profound changes. The security challenges extend from traditional security of access to resource to the entire chains, including extraction, processing, use and recycling. China's solid waste generation has grown …

Current Conditions, Issues, And Suggestions For Ecological Protection And High-Quality Development In Loess Plateau, Bojie Fu, Yansui Liu, Zhi Cao, Zhuangzhuang Wang, Xutong Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The ecological protection and high-quality development of the Yellow River Basin has been prioritized as a national strategy. The release and implementation of the Outline of the Yellow River Basin's Ecological Protection and High-quality Development Plan in 2021 have placed the Loess Plateau, located in the middle reach of the Yellow River, in a critical phase characterized by the need to sustain ecological restoration achievements while fostering socioeconomic progress. This study provides a comprehensive overview of the current conditions and issues related to ecological construction and socioeconomic development in the Loess Plateau. It proposes four specific suggestions focusing on improving …

Urban Spatial Structural Change And Transformation In The New Era, Xiao Xiao, Xiaoping Xie, Jingzhong Li, Xiao Xie, Bing Xue

Bulletin of Chinese Academy of Sciences (Chinese Version)

Urban spatial structure is an important part of the research on the regional system of the human-land relationship, and it is also an important starting point for the sustainable development of cities. How to scientifically understand the urban spatial structure in the new era is the basis for optimizing its regulation. This study briefly reviews the historical background of traditional urban spatial structure theory and points out the transformational turn of urban spatial structure in terms of organizational principles, organizational methods, optimization goals and elements through the analysis of technological revolution, policy, and socio-economic environment in the new era, and …

Research On China’S Marine Protected Areas Policy Based On Kunming-Montreal Global Biodiversity Framework 2030 Targets, Ke Duan, Xiulin Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The Kunming-Montreal Global Biodiversity Framework adopted by the United Nations Convention on Biological Diversity (CBD) at the Conference of Parties (COP15) has set a series of targets, including protecting at least 30% of the oceans by 2030 worldwide. In China, how to build a marine ecological civilization in synergy with the targets has become an important issue. This study analyzes the necessity of accelerating the construction of marine protected areas in China from the perspectives of adapting to international trends, fulfilling the responsibilities of international conventions, safeguarding maritime rights and interests, and implementing the maritime power and strategy. The feasibility …