Digital Commons Network^™

Remote, Rugged Field Scenarios For Archaeology And The Field Sciences: Object Avoidance And 3d Flight Planning With Suas Photogrammetry, Carla Klehm, Malcolm D. Williamson, Leland C. Bement, Brandi Bethke

Center for Advanced Spatial Technologies Publications and Presentations

Advances built into recent sUASs (drones) offer a compelling possibility for field-based data collection in logistically challenging and GPS-denied environments. sUASs-based photogrammetry generates 3D models of features and landscapes, used extensively in archaeology as well as other field sciences. Until recently, navigation has been limited by the expertise of the pilot, as objects, like trees, and vertical or complex environments, such as cliffs, create significant risks to successful documentation. This article assesses sUASs’ capability for autonomous obstacle avoidance and 3D flight planning using data collection scenarios carried out in Black Mesa, Oklahoma. Imagery processed using commercial software confirmed that the …

Multifunctional Nanomaterial Analysis Using Inexpensive Techniques, Casey Jordan , '24

Senior Theses, Projects, and Awards

Designing methods to comprehensively understand nanomaterial interactions is of paramount importance as nanomaterials gain widespread use and their environmental impact becomes a concern. While current characterization methods are suitable for initial assessments, there is a need for comprehensive techniques to evaluate end-of-use scenarios and environmental effects. This report emphasizes the potential of electrochemistry as a versatile measurement tool for nanomaterial analysis. Two projects are presented, showcasing innovative analytical architectures to overcome the limitations of existing techniques. Project 1 integrates linear sweep stripping voltammetry (LSSV) and particle impact voltammetry (PIV) to achieve kinetic resolution and size analysis of silver nanoparticles (AgNPs) …

Differences In The Metabolic Outputs Of Caulobacter Crescentus Modify The Kinetics Of Silver Nanoparticle Dissolution, Tyler M. Hicks , '24

Senior Theses, Projects, and Awards

Silver nanoparticles (AgNPs) are widely used within commercial products due to their distinct antibacterial and antimicrobial properties. As their utilization continues to increase, their inevitable improper disposal could present lasting environmental ramifications due to their nonspecific biotoxicity. One microorganism of interest is Caulobacter crescentus, a common freshwater bacterium found in locations where AgNPs end after their disposal. C. crescentus has two distinct cell types—a stalked and a swarmer form—each with their own unique function and metabolic outputs. Approximately 15% of the C. crescentus metabolome varies with cell cycle, thus making this an interesting and environmentally relevant model organism for …

From Visual Data To Auditory Landscapes In Arcgis Pro, Grace Hegland , '24

Senior Theses, Projects, and Awards

Data visualization is a central component to understanding spatial information in ArcGIS Pro. However, visualization creates an accessibility issue for visually impaired users. While ArcGIS supports two screen readers, JAWS and Microsoft Narrator, their ability to convey spatial relationships is limited to reading textual summaries and textual pop ups of spatial data [1]. This Senior Design project explores using data sonification to map ArcGIS data to piano pitches to create an auditory model of visually displayed map data. This auditory model allowed users to find facts and discover geospatial data trends. Ensuring fair access to information is essential for an …

Network Level Detection Of Iot Attacks Via Time Series Shape Mining, Srijani Basu

Masters Theses

This research proposes a method, for detecting intrusions in the Internet of Things (IoT) realm. This approach was specifically tested using datasets containing both benign, and attacks on smart home devices like the Belkin Wemo Power Switch, Lifx Smart Bulb, Amazon Echo, and Netatmo Welcome Camera. These attacks consist of specification-compliant volumetric DDoS attacks, which can be both direct and reflective, with very low traffic volumes implemented in an ON-OFF pattern. Here, the ON-OFF pattern can be referred to as a pulse attack strategy.

We combined non-linear statistical moving averages, and Dynamic Time Warping into a single framework that can …

Tools For Biomolecular Modeling And Simulation, Xin Yang

Mathematics Theses and Dissertations

Electrostatic interactions play a pivotal role in understanding biomolecular systems, influencing their structural stability and functional dynamics. The Poisson-Boltzmann (PB) equation, a prevalent implicit solvent model that treats the solvent as a continuum while describes the mobile ions using the Boltzmann distribution, has become a standard tool for detailed investigations into biomolecular electrostatics. There are two primary methodologies: grid-based finite difference or finite element methods and body-fitted boundary element methods. This dissertation focuses on developing fast and accurate PB solvers, leveraging both methodologies, to meet diverse scientific needs and overcome various obstacles in the field.

Accurate Characterization Of Binding Kinetics And Allosteric Mechanisms For The Hsp90 Chaperone Inhibitors Using Ai-Augmented Integrative Biophysical Studies, Chao Xu, Xianglei Zhang, Lianghao Zhao, Gennady M. Verkhivker, Fang Bai

Mathematics, Physics, and Computer Science Faculty Articles and Research

The binding kinetics of drugs to their targets are gradually being recognized as a crucial indicator of the efficacy of drugs in vivo, leading to the development of various computational methods for predicting the binding kinetics in recent years. However, compared with the prediction of binding affinity, the underlying structure and dynamic determinants of binding kinetics are more complicated. Efficient and accurate methods for predicting binding kinetics are still lacking. In this study, quantitative structure–kinetics relationship (QSKR) models were developed using 132 inhibitors targeting the ATP binding domain of heat shock protein 90α (HSP90α) to predict the dissociation rate …

Prevention Innovations Spring 2024 News, Prevention Innovations Research Center

PIRC Newsletter

No abstract provided.

Now I See You, Now I Know You: How Constructions Of Space And The Self Navigate The Tension Between Reenchantment Of The World And Intimate Communion In Autobiographical Performance, Huong Nguyen

Theatre and Dance Honors Projects

The transformative power of live performances lies in their reenchantment of the world: how they allow us to see special qualities of everyday objects and phenomena. Autobiographical theatre, rather than trying to find new ways of seeing, aims to transform the audience to “[make] the stranger less strange”. How do these qualities co-exist in autobiographical performance, and how does such a style of performance navigate them? By centralizing a comparative analysis of stagecraft in Aya Ogawa’s The Nosebleed and my honors project, Anti-Cartesian Variety Show, I demonstrate how constructions of space and the self help collapse the boundary between reenchantment …

Abolition Economics, Jessica Wolpaw Reyes, René Reyes

Michigan Journal of Race and Law

Over the past several decades, Law & Economics has established itself as one of the most well-known branches of interdisciplinary legal scholarship. The tools of L&E have been applied to a wide range of legal issues and have even been brought to bear on Critical Race Theory in an attempt to address some of CRT’s perceived shortcomings. This Article seeks to reverse this dynamic of influence by applying CRT and related critical perspectives to the field of economics. We call our approach Abolition Economics. By embracing the abolitionist ethos of “dismantle, change, and build,” we seek to break strict …

2024 (Spring) Ensi Informer Magazine, Morehead State University. Engineering Sciences Department

ENSI Informer Magazine Archive

The ENSI Informer Magazine published in the spring of 2024.

Effect Of Different Parameters On Powell-Eyring Fluid Peristaltic Flow With The Influence Of A Rotation And Heat Transform In An Inclined Asymmetric Channel, Rana Ghazi Ibraheem, Liqaa Zeki Hummady

Baghdad Science Journal

In this article, the effect of the rotation variable and other variables on the peristaltic flow of Powell-Eyring fluid in an inclined asymmetric channel with an inclining magnetic field through a porous medium with heat transfer is examined. Long wavelength and low Reynolds number are assumed, where the perturbation approach is used to solve the nonlinear governing equations in the Cartesian coordinate system to produce series solutions. distributions of velocity and pressure gradients are expressed mathematically. Through the collection of figures, the impact of various criteria is explained and graphically represented. These numerical results were attained using the mathematical application …

Editorial: Applied Computing 2023, Yousra Abdul Alsahib S. Aldeen, Yusliza Yusoff, Samira Naji Kadhim

Baghdad Science Journal

Applied computing utilizes aspects of computer science to solve problems in several disciplines, including business, politics, education, and the environment. Occupied in this field, it will likely use a range of programming, graphic applications, networking, software engineering and operating systems management skills to collect, analyze, store, and deliver information that will help resolve issues for individuals, companies, and groups. Applied computing is the study of both applied computer science and theoretical. Thought the intersection of information technology, computer science, and business, applied computing focuses on technical computing concepts and the occurrence of skills in organizational leadership and business strategy. It …

On Α ̌–Φ ̆-Fuzzy Contractive Mapping In Fuzzy Normed Space, Raghad I. Sabri, Buthainah A. A. Ahmed

Baghdad Science Journal

The idea of fixed points represents one of the most potent mathematical tools. This paper's main purpose is to introduce a new kind of fuzzy contractive mapping in a fuzzy normed space (briefly space) namely "fuzzy contractive mapping". We proved some fixed point results for this mapping in the setting of space using the triangular property of fuzzy norm. Moreover, under specific conditions, some other results for such type of mapping are established. Finally, an example is offered to show the results' usefulness.

Generation, Dynamics, And Interaction Of Quartic Solitary Waves In Nonlinear Laser Systems, Sabrina Hetzel

Mathematics Theses and Dissertations

Solitons are self-reinforcing localized wave packets that have remarkable stability features that arise from the balanced competition of nonlinear and dispersive effects in the medium. Traditionally, the dominant order of dispersion has been the lowest (second), however in recent years, experimental and theoretical research has shown that high, even order dispersion may lead to novel applications. Here, the focus is on investigating the interplay of dominant quartic (fourth-order) dispersion and the self-phase modulation due to the nonlinear Kerr effect in laser systems. One big factor to consider for experimentalists working in laser systems is the effect of noise on the …

Implications Of Minimum Description Length For Adversarial Attack In Natural Language Processing, Kshitiz Tiwari, Lu Zhang

Electrical Engineering and Computer Science Faculty Publications and Presentations

Investigating causality to establish novel criteria for training robust natural language processing (NLP) models is an active research area. However, current methods face various challenges such as the difficulties in identifying keyword lexicons and obtaining data from multiple labeled environments. In this paper, we study the problem of robust NLP from a complementary but different angle: we treat the behavior of an attack model as a complex causal mechanism and quantify its algorithmic information using the minimum description length (MDL) framework. Specifically, we use masked language modeling (MLM) to measure the “amount of effort” needed to transform from the original …

Optimising The Fashion E-Commerce Journey: A Data-Driven Approach To Customer Retention, Hasna Luthfiana Fadhila, Vynska Amalia Permadi, Sylvert Prian Tahalea

Knowledge Engineering and Data Science

A fashion e-commerce company offers a wide range of products from domestic and international brands that are popular with young people. However, there has been an increase in non-organically acquired customers, many of whom do not return to make repeat purchases. This has led to a higher customer churn rate, with a significant proportion of non-organically sourced customers failing to become repeat purchasers. Consequently, a churn analysis and prediction model were developed to address this issue. This paper employs the Recency, Frequency, and Monetary (RFM) framework for churn analysis and prediction. The framework is underpinned by three key dimensions: last …

Random Forest Algorithm To Measure The Air Pollution Standard Index, Ariyono Setiawan, Untung Lestari Wibowo, Ahmad Mubarok, Khoirunnisa Larasati

Knowledge Engineering and Data Science

This study uses the Random Forest algorithm to measure and predict the Air Pollution Standard Index (APSI) at Blimbing Banyuwangi Airport. Air pollution data, including concentrations of O3, CO, NO2, SO2, PM2.5, and PM10, were collected from air monitoring stations at the airport from April 15-30, 2024. APSI measurement followed established formulas by relevant authorities. Data analysis utilized statistical approaches and computational algorithms. The findings reveal that air quality at the airport is generally "Moderate," with occasional "Good" days. The Random Forest algorithm effectively predicts APSI based on existing pollution data. These results provide insights for improving air pollution management …

A Novel Approach To Defect Detection In Arabica Coffee Beans Using Deep Learning: Investigating Data Augmentation And Model Optimization, Yusriel Ardian, Novta Danyel Irawan, Sutoko Sutoko, I Nyoman Gede Arya Astawa

Knowledge Engineering and Data Science

Arabica coffee beans have valuable market worth because of their taste and quality, and there are defects like wholly and partially black beans that can lower the standards of a product, especially in the premium coffee sector. However, the manual processes used to detect the defects take an inordinate amount of time and are inefficient. This study aims to bridge the knowledge gap on the automated detection and recognition of the defects present in the Arabica coffee beans by creating and optimizing a CNN model based on a modified VGG16 architecture. The model applies data augmentation, rotation, cropping, and Bayesian …

A Single Hydrogen Bond That Tunes Flavin Redox Reactivity And Activates It For Modification, Debarati Das, Anne-Frances Miller

Markey Cancer Center Faculty Publications

Electron bifurcation produces high-energy products based on less energetic reagents. This feat enables biological systems to exploit abundant mediocre fuel to drive vital but demanding reactions, including nitrogen fixation and CO₂ capture. Thus, there is great interest in understanding principles that can be portable to man-made devices. Bifurcating electron transfer flavoproteins (Bf ETFs) employ two flavins with contrasting reactivities to acquire pairs of electrons from a modest reductant, NADH. The bifurcating flavin then dispatches the electrons individually to a high and a low reduction midpoint potential (E°) acceptor, the latter of which captures most of the energy. Maximum efficiency …

The Study Of Biomass Based Polymers And Cyclic Polymers, Yishayah Bension

Theses and Dissertations

Plastics have become an integral part of everyday life, from household care to aerospace applications, polymers are involved in every industry. Most of these polymeric materials are derived from petroleum feedstocks which have deleterious effects on our environment. The production of petrochemicals has led to an increase in greenhouse gases and microplastic pollution which have accelerated climate change. My research focuses on utilizing existing biomasses to improve the plastic economy’s circularity. This work develops new materials from bio-based polymers such as lignin and soybean oil. Raw lignin suffers from inherently weak mechanical properties, poor solubility, processability, and molecular structure ambiguity. …

Mapping The Landscape Of Medical Research In The Arab World Countries: A Comprehensive Bibliometric Analysis, Shadan Almuhaidib, Rawan Alqahtani, Haifa F. Alotaibi, Asma Saeed, Sahar Alnasrallah, Fayez Alshamsi, Saleh A. Alqahtani, Waleed Alhazzani

Saudi Medical Journal

Objectives: To describe the productivity, performance, and impact of medical research in the Arab world countries. Methods: We carried out a bibliometric analysis using Clarivate Analytics databases from January 2017 to March 2023. We reported research productivity, national and international research collaboration patterns, impact of Arab medical research output compared to the global average, top medical journals publishing Arab-affiliated research, and performance of the most productive Arab institutions. Results: The Arab world contributed 2.72% to global medical research publication, with a citation impact of 11.98 compared to the global impact of 12.02. Qatar, Lebanon, and Saudi Arabia led medical research …

How Does The Pace Of Digital Transformation Affect Team Viability And Performance? — The Role Of Adaptive Response, Jing Tian

Dissertations and Theses Collection (Open Access)

The national strategy of “Digital China” implemented in 2021 has catalyzed efforts to bolster the digital ecosystem across industries. With pervasive claims of digital transformation and upgrading by nearly all enterprises, digital technology permeates various sectors. This study explores, from the perspective of working teams—the smallest unit within enterprise production organizations—how the pace of digital transformation influences team viability and performance. It investigates the transmission mechanism of this effect and identifies influencing factors.

Drawing from extant research on the impact of digital technology on organizations, trends in organizational change, and psychological research on team behavior, this study establishes a theoretical …

Research On Futures, Profit Hedging, And Enterprise Price Risk Management In The Bulk Commodity Industry Chain — A Case Study Of Hot-Rolled Coil Industry Chain, Shengxi Liu

Dissertations and Theses Collection (Open Access)

Traditional hedging strategies usually center around a single product, commonly involving companies hedging against the price of their endproducts or essential production materials. At present, traditional hedgingstrategies are no longer sufficient to address the production and management requirements of physical enterprises. There is a need to develop hedgingstrategies aligning with the significant changes in both domestic andinternational markets.

The thesis presents a new profit hedging model based on product manufacturing processes within the industry chain. This method involves hedging production profits by buying (selling) end products and selling(buying) raw materials according to the proportional relationships in the production process on …

Can Organizational Focus On Responsible Ai Lead To Improved Ai Adoption By Employees?, Seema Chokshi

Dissertations and Theses Collection (Open Access)

The duality inherent in Artificial Intelligence technology entails that while AI has the potential to bring about transformative benefits to organizations, unintended consequences of AI applications could lead to biased and discriminatory outcomes, which could have negative consequences for the organization and society in general. Concerns about such unintended consequences are an impediment to AI adoption where unwilling employees and practitioners often fear ethical breaches, thereby, negatively impacting their engagement with AI driven applications. In response to these concerns various organizations and regulatory bodies have developed governing frameworks broadly known as Responsible AI standards, that set guidelines to design, …

Enabling Sustainable Mining Via Ai-Based Techniques, Nurul Asyikeen Binte Azhar

Dissertations and Theses Collection (Open Access)

The precedence-constrained production scheduling problem (PCPSP) in Long-Term Mine Planning (LTMP) is NP-hard and conventionally prioritizes the Net Present Value (NPV) of profits. Even so, heightened sustainability concerns necessitate heightened sustainable practices. Yet, research still lags. This dissertation addresses this paucity by integrating sustainability elements through Multi-Objective Optimization (MOO), introducing novel algorithms and proposing an uncertainty assessment within a dual Multi-Objective Evolutionary Algorithm (MOEA) setup.

Firstly, our systematic review of past LTMP research focused on the PCPSP and highlighted sustainability elements. Overall, it furnished real-world components incorporated into mathematical formulations, trends, quality of solutions (efficacy) and computation time (efficiency) of …

Sequential Recommendation: From Representation Learning To Reasoning, Lei Wang

Dissertations and Theses Collection (Open Access)

The recommender system is a crucial component of today's online services. It helps users navigate through an overwhelmingly large number of items and discovering those that interest them. Unlike general recommender systems, which recommend items based on the user's overall preferences, sequential recommender systems consider the order of user-item interactions. Sequential recommendations aim to predict the next item a user will interact with, given a sequence of previously interacted items, while considering the short-term and long-term dependencies among items.

In this thesis, we focus on sequential recommendation methods: from representation learning to large language model (LLM)-based reasoning. On the one …

Assessing The Impacts Of The Us-China Trade War On Asian Economies, Ruoqing Chen

Dissertations and Theses Collection (Open Access)

The ongoing trade tensions between the United States and China have reverberated globally, sparking concerns about economic stability and growth. What are the most affected industries and economies among Asia? What will happen if the US and China further raise their tariffs? Are there any useful trade policy adjustments for the Asian economies to improve their lots under the not-so-optimistic world trade climate? This paper employs a multi-country, multi-industry, general equilibrium model to analyze the impacts of the US-China trade war and potential further tariff war on 13 Asian regions across 20 industries in the year 2017. The results indicate …

Visualizing The Standard Deviation Via Revolution Using R/Rstudio, Hieu Nguyen '25, Trung Pham '25, Mamunur Rashid, Jyotirmoy Sarkar

Student Research

The standard deviation is a commonly used statistical measure to quantify the level of variation present in a set of numbers or in a random variable. Sarkar and Rashid (2016) introduced an interpretation of the population standard deviation as the radius of a cylinder with a volume equivalent to that of the solid of revolution when the 2-D graph of the empirical cumulative distribution function is revolved about the vertical line through the mean. This article demonstrates step-by-step how to use the RevSD package in R/RStudio to visualize the standard deviation of data using this innovative technique. The RevSD package …

Spatial Patterns Of Women Enrolled In Undergraduate Higher Education Coursework In The Us From 2010 To 2020., Dorcaslove Naa Oyo Quartey

Masters Theses

Higher education in the United States has witnessed a significant transformation over the years, characterized by a positive change in women’s enrollment across colleges and universities. Despite significant gains in recent decades, differences in women's participation to higher education persist across the United States. This may be due to several reasons. This thesis investigates the spatial patterns of women's enrollment in undergraduate higher education coursework across the United States from 2010 to 2020. As women's participation in higher education has become increasingly pivotal for societal progress, understanding the geographical distribution of their enrollment provides critical insights into regional disparities. Employing …