Digital Commons Network^™

Data-Driven Strategies For Disease Management In Patients Admitted For Heart Failure, Ankita Agarwal

Browse all Theses and Dissertations

Heart failure is a syndrome which effects a patient’s quality of life adversely. It can be caused by different underlying conditions or abnormalities and involves both cardiovascular and non-cardiovascular comorbidities. Heart failure cannot be cured but a patient’s quality of life can be improved by effective treatment through medicines and surgery, and lifestyle management. As effective treatment of heart failure incurs cost for the patients and resource allocation for the hospitals, predicting length of stay of these patients during each hospitalization becomes important. Heart failure can be classified into two types: left sided heart failure and right sided heart failure. …

Deciphering The Pathway Of Human Astrovirus Release From Infected Cells, Joshua Eduful

Browse all Theses and Dissertations

During infection, viruses are released from infected cells and spread to neighboring cells either through a lytic pathway (by rupturing cells), a non-lytic pathway (such as the use of extracellular vesicles), or both pathways. Human astroviruses (HAstV) are highly prevalent non-enveloped positive sense RNA viruses. They are separated into three clades, classic-type, MLB-type and VA-type, in humans. They are identified as the third leading cause of viral gastroenteritis in children, the elderly, and immunocompromised patients. Yet, little is known about the replication, transmission, immunity, and epidemiology of these viruses. Thus, I sought to investigate the possible pathways HAstV utilize to …

Characterization Of The Roles Of Mitochondria In The Toxicity Of Α-Synuclein In A Respiratory Cell Model, Breonna Elizabeth Gillespie

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Although α-synuclein (α-syn) has been linked genetically and pathologically to Parkinson’s disease, the mechanism by which it drives disease pathogenesis is not fully understood. When α-syn is overexpressed in yeast, it forms abnormal cytoplasmic accumulations and leads to cell death, resembling the phenotypes observed in neurons. Such yeast models have been widely used to uncover molecular mechanisms of α-syn toxicity, but the induction of α-syn relies on growing yeast in galactose, a fermentable carbon source. Yeast does not require cellular respiration when grown in galactose, thus limiting the understanding of α-syn toxicity when cellular respiration is essential for neurons. We …

A Novel Role Of Lipin1 In The Regulation Of Expression And Function Of Nnos, Ayat Azzam

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Duchenne muscular dystrophy (DMD) is a severe and progressive muscular dystrophy that develops in the skeletal muscles because of mutations in the dystrophin gene. Dystrophin stabilizes sarcolemma and assembles neuronal nitric oxide synthase (nNOS) into the dystrophin-associated protein complex on the sarcolemma. The absence of dystrophin triggers the delocalization of nNOS and contributes to the misregulation of muscle development, blood flow, muscle fatigue, and inflammation. Lipin1 was reduced in the skeletal muscles of patients with DMD and the mdx mouse model of DMD. In this study, we explored the role of lipin1 in the regulation of nNOS expression and function. …

Understanding And Enhancing The Efficiency And Efficacy Of Machine Learning-Assisted Software Vulnerability Detection, Daniel J. Grahn

Browse all Theses and Dissertations

As our world has become dependent upon software for nearly every aspect of modern society, software security has followed as an essential feature. The first line of defense against vulnerabilities is secure coding. While today’s programmers are carefully taught secure coding best practices, they can make mistakes or intentionally introduce vulnerable code. The traditional backstop to human errors and insider threats is the adoption of automated security analysis tools. These analysis tools have limitations. Static analysis suffers from high false positive rates that may cause annoyance and complacency among developers. Dynamic analysis can be difficult to set up and very …

How To Get Away With Discrimination: The Use Of Algorithms To Discriminate In The Internet Entertainment Industry, Sumra Wahid

American University Journal of Gender, Social Policy & the Law

In July 2021, Ziggi Tyler posted a video on TikTok, a popular video sharing platform, where he expressed his frustration with being a Black content creator on TikTok. The video showed Ziggi typing phrases such as “Black Lives Matter” or “Black success” into his Marketplace creator bio, which the app would immediately flag as inappropriate content. However, when Ziggi replaced those words with “white supremacy” or “white success,” no inappropriateness warning appeared. Although a TikTok spokesperson responded to the video clarifying that the app had mistakenly flagged phrases without considering word order, Ziggi refused to let an algorithm absolve TikTok …

Novel Approaches To Compute Manifold Operators With The Radial Basis Functions Method, Jacob James Blazejewski

Dissertations, Master's Theses and Master's Reports

The bulk of this dissertation is mainly composed of four chapters, which are organized as follows: Chapter 1 provides an introduction to the Radial Basis Functions (RBF) method by briefly outlining its historical developments and reviewing the RBF interpolation and the RBF-Finite Difference (FD) methodologies, and their advantages/disadvantages. Chapter 2 describes the Orthogonal Gradients (OGr) method and the Fast OGr method and how these can be used to compute differential operators restricted to hypersurfaces and space curves ($\Gamma$) embedded in R3. We will highlight a challenge of pairing Fast OGr with RBF-FD on nearly flat local clusters and how to …

Exploring Different Mediums For Teaching Programming And Cybersecurity In Primary And Secondary Schools, Andrew R. Youngstrom

Dissertations, Master's Theses and Master's Reports

Cybersecurity and programming are becoming more and more prominent in today’s world. It is beneficial to begin teaching these topics to students at a younger age. Additionally, we see students in primary and secondary schools struggling to maintain focus in class as attention spans shrink. This paper looks at different drone models to see if any of them could be sufficient solutions to be implemented into primary and secondary schools to teach cybersecurity and programming topics to students. Besides teaching capabilities, drones must also be affordable for institutions and simple enough to construct, configure, and operate so that a teacher …

Information Use And Decision-Making For Evacuation At Fuego Volcano, Guatemala, Beth A. Bartel

Dissertations, Master's Theses and Master's Reports

For populations living with risk to rapid-onset environmental hazards, an effective early warning system (EWS) may be the most viable short- to mid-term solution for risk reduction. At Fuego volcano, Guatemala, more than 60,000 people distributed between more than 30 small communities live within the identified hazard zones for pyroclastic density currents (PDCS), highly lethal hot avalanches and surges of volcanic gases, rock, and ash. Despite ongoing risk reduction efforts by scientific and civil protection authorities, more than 400 people died during a paroxysmal eruption on 3 June 2018 when PDCs reached populated areas. A high-end resort, La Reunión, evacuated …

Integrating Lidar, Aeromagnetic, And Geological Field Data To Identify Structural-Lithologic Elements Within The Archean Carney Lake Gneiss Complex, Ian M. Gannon

Dissertations, Master's Theses and Master's Reports

The Archean Carney Lake Gneiss Complex (CLGC) is a suite of rocks on the southern margin of the Superior Province and within the Minnesota River Valley subprovince. It is one of many gneissic domes in Michigan, Wisconsin, and Minnesota whose complex geology is poorly understood due to a previous lack of economic interest in gneissic terranes and significant challenges to their investigation. As a consequence, the CLGC and other gneissic domes in the region are represented on geologic maps as undifferentiated masses surrounded by better defined and understood Paleoproterozoic supracrustal rocks and igneous intrusions. Within the last ten years, however, …

Uhplc/Ft-Ms Non-Targeted Screening Approach For Biomass Burning Organic Aerosol And Liquid Smoke As Biomass Burning Organic Aerosol Surrogate, D.M.R. Thusitha Dinusha Kumarihami Divisekara

Dissertations, Master's Theses and Master's Reports

Biomass combustion contributes a large amount of aerosol particles to the atmosphere impacting the climate system and human health. Identifying the molecular composition of biomass burning organic aerosol (BBOA) is challenging because of its complex nature. Liquid chromatography mass spectrometric non-targeted screening (NTS) methods provide a comprehensive analysis. However, the instrumentation and data analysis are challenging due to the extreme complexity of environmental samples. In the first part of this study, we implemented a new LC/FT-MS data processing approach by combining existing open-source data processing tools, MZmine2.53 and MFAssignR. The method's validity was checked using the standard polyacrylic acid (PAA) …

Explicit Rule Learning: A Cognitive Tutorial Method To Train Users Of Artificial Intelligence/Machine Learning Systems, Anne Linja

Dissertations, Master's Theses and Master's Reports

Today’s intelligent software systems, such as Artificial Intelligence/Machine Learning systems, are sophisticated, complicated, sometimes complex systems. In order to effectively interact with these systems, novice users need to have a certain level of understanding. An awareness of a system’s underlying principles, rationale, logic, and goals can enhance the synergistic human-machine interaction. It also benefits the user to know when they can trust the systems’ output, and to discern boundary conditions that might change the output. The purpose of this research is to empirically test the viability of a Cognitive Tutorial approach, called Explicit Rule Learning. Several approaches have been used …

Memory Optimizations For High-Throughput Computer Systems, Zhiyuan Lu

Dissertations, Master's Theses and Master's Reports

The emergence of new non-volatile memory (NVM) technology and deep neural network (DNN) inferences bring challenges related to off-chip memory access. Ensuring crash consistency leads to additional memory operations and exposes memory update operations on the critical execution path. DNN inference execution on some accelerators suffers from intensive off-chip memory access. The focus of this dissertation is to tackle the issues related to off-chip memory in these high performance computing systems.

The logging operations, required by the crash consistency, impose a significant performance overhead due to the extra memory access. To mitigate the persistence time of log requests, we introduce …

The Impact Of Pre-Experiment Walking On Distance Perception In Vr, Soheil Sepahyar

Dissertations, Master's Theses and Master's Reports

While individuals can accurately estimate distances in the real world, this ability is often diminished in virtual reality (VR) simulations, hampering performance across training, entertainment, prototyping, and education domains. To assess distance judgments, the direct blind walking method—having participants walk blindfolded to targets—is frequently used. Typically, direct blind walking measurements are performed after an initial practice phase, where people become comfortable with walking while blindfolded. Surprisingly, little research has explored how such pre-experiment walking impacts subsequent VR distance judgments. Our initial investigation revealed increased pre-experiment blind walking reduced distance underestimations, underscoring the importance of detailing these preparatory procedures in research—details …

The Impact Of Climate Change On Environmental Sustainability And Human Mortality, Xingzhi Mara Chen, Andrew Sharma, Hua Liu

Political Science & Geography Faculty Publications

Climate dictates the critical aspects of human environmental conditions. The frequency and intensity of extreme weather conditions due to human-induced climate change have alarmingly increased. Consequently, climate change directly affects environmental sustainability and human mortality in the short term and creates prolonged and complicated long-term indirect grave risks. This paper examines three-level environmental impact risks associated with climate change on human mortality. It proposes a conceptual framework for developing an empirical event-based human mortality database related to climate change and communication strategies to enhance global environmental adaptation, resilience, and sustainability.

Application Of Rule Learner Classifier For Studying Bioethanol Fuelled Spark Ignition Engine Out Emissions And Classification, D Y Dhande Mr., D P Gaikwad Mr, C S Choudhari

ASEAN Journal on Science and Technology for Development

In this paper, preparation of ethanol from waste pomegranate fruit using fermentation and distillation method have discussed. The spark ignition engine out emissions were tested at various operating speeds using four different ethanol blends. Experimental results showed that the ethanol mixing in pure Gasoline increases quality of engine out emissions except Nitrogen Oxides. The 15% ethanol blend and 1500 rpm engine speed were found as optimal input values providing enhanced performance. Based on the experimental results, training datasets were prepared in which emission characteristics of engine were mapped with engine speed and ethanol combination with petrol. These datasets are used …

The Extent Of Including Geometric Thinking Levels In The Individualized Education Program From The Teachers' Perspective, Muna S. Al-Shibli, Suhail M. Al-Zoubi, Khoula Z. Alhosni

Journal of Educational and Psychological Studies

Abstract: This descriptive study aimed at identifying the extent of including geometric thinking levels in the Individualized Education Program (IEP) from the teachers’ perspective of learning disabilities program. The sample of the study consisted of 216 female teachers from various governorates of the Sultanate of Oman. They responded on the scale of geometric thinking levels, which was developed according to Van Hiele Model. This scale consisted of 45 items distributed on 5 levels (visualization, analysis, informal deduction, formal deduction, and rigor). The results indicated that the extent of inclusion geometric thinking levels in IEP was on average. The results showed …

The Purpose Of Cybersecurity Governance In The Digital Transformation Of Public Services And Protecting The Digital Environment, Maad Mijwil, Youssef Filali, Mohammad Aljanabi, Mariem Bounabi, Mariem Bounabi

Mesopotamian Journal of CyberSecurity

As it tries to incorporate computer-based technology into the public services provided by businesses or organisations, the digital transformation process is currently regarded one of the most prominent topics in circulation. Establishing fundamentals and points is necessary for digital transformation, as is relying on a specific set of employee talents and actively incorporating customers in the process's evolution. Cybersecurity has become an increasingly important issue for governments and businesses worldwide, and this shift towards digital services is a top priority for all of them. Accelerating the digital transformation process and the usage of its services are the vulnerabilities to cyberspace, …

Chatgpt: Future Directions And Open Possibilities, Mohammad Aljanabi

Mesopotamian Journal of CyberSecurity

ChatGPT, the cutting-edge language model developed by OpenAI, is one of the most exciting advancements in the field of artificial intelligence. With its ability to generate human-like text and respond to complex questions, ChatGPT has already made a significant impact and is poised to continue its rapid progression in the coming years. As we look to the future of ChatGPT and large language models, there are many exciting possibilities and open opportunities for this technology to enhance our lives and change the way we interact with technology

Advanced Cyber Security Using Spectral Entity Feature Selection Based On Cyber Crypto Proof Security Protocol (C2psp), Gopalakrishnan S, Karabi Saikia, Ranadheer Reddy Vallem

Mesopotamian Journal of CyberSecurity

The growth of internet become more development in communication medium to provide various services. Information sharing ad security is mostly suffered by crime attackers because of different models of cyber-attacks are carried out by attackers. Attackers creates jamming principles, communication delays, packet dropping, and information hacking, duplicate injection to do so many activities to destroy the security. Based on the communication data analysis and features are non-identified and difficult to find the malicious activities. So the development of cyber security needs advancement to find the attackers based on the communication breaking activities. To resolve this problem, we propose a Spectral …

Mobile Big Data Analytics Using Deep Learning And Apache Spark, Muhammad Azeem, Bassam M. Abualsoud, Dimuthu Priyadarshana

Mesopotamian Journal of Big Data

The new mobile big data is the outcome of the widespread use of mobile devices like smartphones and IoT devices. Without employing suitable analytical and learning methodologies to extract crucial facts and hidden designs from the data, collecting MBDs is not economically viable. We drew on the work of other academics who published their findings between 2015 and 2021 for this analysis. This white paper gives an introduction to deep learning in MBD analysis and a straightforward training exercise, and it verifies the viability of customizable learning architectures via Apache Spark. Certain deep learning tasks, in particular, are carried out …

Analysis Of Image Classification Deep Learning Algorithm, Shivam Kanungo

Computer Science

This study explores the use of TensorFlow 2 and Python for image classification problems. Image categorization is an important area in computer vision, with several real-world applications such as object identification/recognition, medical imaging, and autonomous driving. This work studies TensorFlow 2 and its image categorization capabilities. We also demonstrate how to construct an image classification model using Python and TensorFlow 2. This analysis of image classification neural network problems with the use of Convolutional Neural Network (CNN) on the German and the Chinese traffic sign datasets is an engineering task. Ultimately, this work provides step-by-step guidance for creating an image …

On The Uniqueness Of Continuation Of A Partially Defined Metric, Evgeniy Petrov

Theory & Applications of Graphs

The problem of continuation of a partially defined metric can be efficiently studied using graph theory. Let G=G(V,E) be an undirected graph with the set of vertices V and the set of edges E. A necessary and sufficient condition under which the weight w : E → R⁺ on the graph G has a unique continuation to a metric d : V x V → R⁺ is found.

On Rainbow Cycles And Proper Edge Colorings Of Generalized Polygons, Matt Noble

Theory & Applications of Graphs

An edge coloring of a simple graph G is said to be proper rainbow-cycle-forbidding (PRCF, for short) if no two incident edges receive the same color and for any cycle in G, at least two edges of that cycle receive the same color. A graph G is defined to be PRCF-good if it admits a PRCF edge coloring, and G is deemed PRCF-bad otherwise. In recent work, Hoffman, et al. study PRCF edge colorings and find many examples of PRCF-bad graphs having girth less than or equal to 4. They then ask whether such graphs exist having girth greater than …

Informal Stem Learning: Examples From Everyday Spatial Behaviors, Yingying Jennifer Yang, Sonia Conde Santiago, Daria Lasc, Arielle Hershkovich, Lauren Grove

Department of Psychology Faculty Scholarship and Creative Works

Introduction: Extensive research has shown a close relationship between spatial abilities and success in STEM disciplines because many STEM problems often require students to reason about spatial information. Everyday spatial behaviors may predate and facilitate the development of spatial skills. Therefore, the current study examined children’s everyday spatial behaviors and their associations with broader child development outcomes and individual differences. Methods: Based on previous research, we developed an everyday spatial behaviors questionnaire for children (ESBQC). A total of 174 parents and their children aged 4–9 years old participated. In ESBQC, parents rated how much difficulty their children experience with different …

Opportunities And Challenges In Augmenting Honey Bee Forage Resources With Pasture Legumes In Southern Australia, M. Kratz, M. Brown, M. T. Newell, R. C. Hayes

IGC Proceedings (1977-2023)

More than 80% of Australian honey is produced from native tree and shrub species. However, with increasing demands on public lands along with production risks posed by drought, floods and wildfires, there is a need to identify alternative forage resources to augment Australian honey production. With over 30 pasture legumes now available for agriculture in southern Australia, opportunity exists to increase the utilisation of some species with co-benefits to multiple production industries. However, there is little understanding of the potential value of most pasture legumes for honey production, and side by side comparisons are complicated by factors such as differences …

Data Curation For Modeling Tall Fescue Biomass Dynamics With Dssat-Csm, M. B. Hanson, P. D. Alderman, T. J. Butler, A. Caldeira Rocateli

IGC Proceedings (1977-2023)

While models for predicting forage production are available to aid management decisions for some forage crops, there is limited research for a yield model designed specifically for tall fescue (Schedonorus arundinaceus). Therefore, our objective was to adapt an existing perennial forage model, the Decision Support System for Agrotechnology Transfer Cropping Systems Model (DSSAT-CSM) for predicting forage biomass of tall fescue in the southern Great Plains. To evaluate model performance, there must first be a high level of data manipulation and cleaning. In this project, a cohesive dataset combining biomass, weather, soil, and management data were structured into DSSAT …

Can Changing Breeding Structure Serve As A Climate Adaptation Strategy? Evidence From A Comparative Study Of China And Mongolia, Y. Zhang, Z. Huang, J. Wang, Y. Huang, T. Hao, G. Xu

IGC Proceedings (1977-2023)

Under the influence of climate change, the vulnerability of grassland ecosystems in the Mongolian Plateau has increased. Correspondingly, herdsmen need to adopt more livelihood adaptation strategies to cope with changes in climate and grassland environment. The purpose of this study is to analyze the impact of breeding structure on grassland quality in Mongolian plateau. We select 20 border provinces/banners of Mongolia and Inner Mongolia Autonomous Region for research, and combined statistical data with remote sensing data of 2007-2016. The Normalized Difference Vegetation Index (NDVI) is used to quantify the grassland vegetation quality. Results show that there are differences in livestock …

Background And Implications Of China's E-Cny, Jiaying Jiang, Karman Lucero

University of Florida Journal of Law & Public Policy

The People’s Republic of China is a leading experimenter in central bank digital currencies (CBDCs). This Article explores the current background, deployment, features, potential impacts, challenges, and legal concerns of China’s CBDC: the electronic yuan, or E-CNY. This Article explains the potential significance of what is known and not known about E-CNY with a particular focus on how E-CNY might fit into existing legal and economic systems, both within China and internationally. On the surface, E-CNY looks transformative. When you dig a little deeper, however, most of the potential changes or transformations turn on broader institutional, political, and legal changes …

Tennessee Higher Education Fact Book 2021-2022, Tennessee. Higher Education Commission.

Higher Education Fact Book

No abstract provided.