Digital Commons Network^™

2022 Survey Of Illinois Law: Family Law, Stephanie L. Tang

Southern Illinois University Law Journal

In 2022, there were significant changes to both family law legislation and case law. Relevant legislative changes include allowing litigants to seek attorney’s fees to retain a lawyer, allowing for temporary relocation, and clarifying when a change in circumstances is “contemplated” for purposes of modifying child support. Illinois courts also adjudicated cases across all areas of family law. These areas ranged from expanding on prior case precedent in areas like property division and allocation of parental responsibilities to establishing new precedent in others, including COVID-19 restrictions and allocation of frozen embryos.

This Article is a continuation of the 2017-2018 and …

Edge Covers Of Joined Cycle And Path Graphs, Rowan Kennedy

Mathematics Undergraduate Research

A graph is a mathematical structure consisting of vertices, representing objects, and edges that connect pairs of vertices, representing relationships between objects. When a specific graph structure can be extended in a consistent pattern we get a graph family, such as the families of path and cycle graphs. An edge cover of a graph is a subset of the graph's edges chosen so that each vertex is an endpoint of at least one edge in this subset. The edge cover counts of certain graph families, such as the path and cycle graphs, correspond to known sequences, the Fibonacci and Lucas …

Encoding And Storage Of Information In Mechanical Metamaterials, Zhiqiang Meng, Hujie Yan, Mingchao Liu, Wenkai Qin, Guy M Genin, Chang Qing Chen

2020-Current year OA Pubs

Information processing using material's own properties has gained increasing interest. Mechanical metamaterials, due to their diversity of deformation modes and wide design space, can be used to realize information processing, such as computing and storage. Here a mechanical metamaterial system is demonstrated for material-based encoding and storage of data through programmed reconfigurations of the metamaterial's structured building blocks. Sequential encoding and decoding are achieved in the three-dimensional (3D) printed pixelated mechanical metamaterial via kirigami-based "pixels" with programmable, temperature-dependent bistability. The mechanical metamaterial is demonstrated via a multistep deformation of encoding messages of texts and surfaces with arrays of binary data, …

Revisiting The Properties Of X-Ray Active Galactic Nuclei In The Ssa22 Protocluster: Normal Supermassive Black Hole And Host-Galaxy Growth For Agns In A Z=3.09 Overdensity, Erik B. Monson, Keith Doore, Rafael T. Eufrasio, Bret D. Lehmer, David M. Alexander, Chris M. Harrison, Mariko Kubo, Cristian Saez, Hideki Umehata

Physics Faculty Publications and Presentations

We analyze the physical properties of eight X-ray-selected active galactic nuclei (AGNs) and one candidate protoquasar system (ADF22A1) in the z = 3.09 SSA22 protocluster by fitting their X-ray-to-IR spectral energy distributions (SEDs) using our SED-fitting code, Lightning (https://www.github.com/rafaeleufrasio/lightning). We recover star formation histories (SFHs) for seven of these systems which are well fit by composite stellar population plus AGN models. We find indications that four out of nine of the SSA22 AGN systems we study have host galaxies below the main sequence, with SFR/SFRMS ≤ −0.4. The remaining SSA22 systems, including ADF22A1, are consistent with obscured supermassive black hole …

Confirmatory Factor Analysis Of Two Self-Efficacy Scales For Astronomy Understanding And Robotic Telescope Use, R. Freed, David H. Mckinnon, M. T. Fitzgerald, S. Salimpour

Research outputs 2022 to 2026

This paper presents the results of a confirmatory factor analysis on two self-efficacy scales designed to probe the self-efficacy of college-level introductory astronomy (Astro-101) students (n=15181) from 22 institutions across the United States of America and Canada. The students undertook a course based on similar curriculum materials, which involved students using robotic telescopes to support their learning of astronomical concepts covered in the "traditional"Astro-101 courses. Previous research by the authors using these self-efficacy scales within a pre-/post-test approach showed both high reliabilities and very high construct validities. However, the scale purporting to measure students' self-efficacy in relation to their use …

Dos/Ddos-Mqtt-Iot: A Dataset For Evaluating Intrusions In Iot Networks Using The Mqtt Protocol, Alaa Alatram, Leslie F. Sikos, Mike Johnstone, Patryk Szewczyk, James Jin Kang

Research outputs 2022 to 2026

Adversaries may exploit a range of vulnerabilities in Internet of Things (IoT) environments. These vulnerabilities are typically exploited to carry out attacks, such as denial-of-service (DoS) attacks, either against the IoT devices themselves, or using the devices to perform the attacks. These attacks are often successful due to the nature of the protocols used in the IoT. One popular protocol used for machine-to-machine IoT communications is the Message Queueing Telemetry Protocol (MQTT). Countermeasures for attacks against MQTT include testing defenses with existing datasets. However, there is a lack of real-world test datasets in this area. For this reason, this paper …

A Novel Authentication Method That Combines Honeytokens And Google Authenticator, Vassilis Papaspirou, Maria Papathanasaki, Leandros Maglaras, Ioanna Kantzavelou, Christos Douligeris, Mohamed A. Ferrag, Helge Janicke

Research outputs 2022 to 2026

Despite the rapid development of technology, computer systems still rely heavily on passwords for security, which can be problematic. Although multi-factor authentication has been introduced, it is not completely effective against more advanced attacks. To address this, this study proposes a new two-factor authentication method that uses honeytokens. Honeytokens and Google Authenticator are combined to create a stronger authentication process. The proposed approach aims to provide additional layers of security and protection to computer systems, increasing their overall security beyond what is currently provided by single-password or standard two-factor authentication methods. The key difference is that the proposed system resembles …

Generating Adversarial Malware Examples Using Particle Swarm Optimization, Sirapat Thianphan

Theses

Adversaries develop adversarial malware examples that are designed to evade detection systems, which can significantly decrease the performance of malware classifiers. To defend against adversarial malware examples, a technique called adversarial training is implemented by additionally train the detection models with adversarial examples, making the models more robust to such attacks. This thesis discusses an approach to generating adversarial examples using Particle Swarm Optimization (PSO). We explore a technique called AdversarialPSO proposed by Rayan Mosli [1], which crafts adversarial malware examples by replacing API calls with alternative APIs that have equivalent functionality leveraging PSO to navigate substitutions. In this thesis, …

Inter-Procedural Program Synthesis For Automatic Architectural Tactic Implementation, Ali Shokri

Theses

Software architectural tactics are design decisions made by software architects to address important quality attributes of software systems such as security, availability, and reliability. Software developers incorporate API of software frameworks, as building blocks, for implementing architectural tactics in a software system to achieve the mentioned quality attributes. The correct implementation of such tactics is a challenging and error-prone task, especially for novice programmers. Component-based program synthesis aims to help such programmers by automatically constructing a code snippet from a given set of components, e.g., APIs, as well as the specification of the desired code. However, despite the advances in …

Applying Homomorphic Encryption To A Cross Domain Problem, Cheyenne Dailey

Theses

The Cross Domain Problem (CDP) strives to ensure protected data transference across varying security domains. In order to accomplish this, a Cross Domain Solution (CDS) is needed. A common method to protect data is to focus on risk management between trusted parties; however, untrusted parties pose ongoing concern. The problem is determining a method that transfers classified data through various security domains without exposing any information to intermediary parties. Attempts to mitigate this problem have been made utilizing Homomorphic Encryption (HE), a type of encryption that allows for computations to be executed on encrypted data without needing to decrypt it. …

Continual Domain Adaptation Through Knowledge Distillation, Georgi Thomas

Theses

Domain Adaptation (DA) techniques aim to overcome the domain shift between a source domain used for training and the target domain used for testing and deployment. Domain adaptation methods assume the entire target domain is accessible during the adaptation process. We use efficient architectures in the continual data-constrained DA paradigm where the unlabeled data in the target domain is received continually in batches. In recent years, Vision Transformers have emerged as an alternative to traditional Convolutional Neural Networks (CNNs) as the feature extraction backbone for image classification and other computer vision tasks. Within the field of DA, these attention-based architectures …

Diffractive Light And Solar Sails, Prateek Ranjan Srivastava

Theses

In the realm of space exploration, humanity has achieved remarkable feats like landing humans on the moon. However, our progress in venturing beyond our solar system has been limited. Light sails, which utilize photon momentum from laser or solar radiation, o↵er a promising propulsion technology. Unlike traditional rockets, light sails carry no fuel and can achieve high velocities and precise orbital maneuvers. In this research, we propose using an elementary space variant di↵ractive film to design passively stable light sails propelled by laser radiation. We also explore applying this concept to solar sails, enabling spiral trajectories and high orbital inclination …

A Privacy Safeguarding Framework For The Smart Grid, Gaurav Shivaji Wagh

Theses

The smart grid is an outcome of integrating communication technologies with traditional electrical systems. This enables the collection of granular metering data from the customer domain for providing grid and billing functionalities. However, the data collection process exposes the grid to various cyberattacks, posing a significant threat to customer privacy. This is a critical concern for the smart grid community and has hindered the global adoption of the smart grid technology. Although aggregation-based frameworks show promise for sharing metering data with the Electrical Service Provider while maintaining customer privacy, existing aggregation-based frameworks have several limitations. Some of these limitations include …

The Internet Of Things (Iot) In Healthcare: Taking Stock And Moving Forward, Abderahman Rejeb, Karim Rejeb, Horst Treiblmaier, Andrea Appolloni, Salem Alghamdi, Yaser Alhasawi, Mohammad Iranmanesh

Research outputs 2022 to 2026

Recent improvements in the Internet of Things (IoT) have allowed healthcare to evolve rapidly. This article summarizes previous studies on IoT applications in healthcare. A comprehensive review and a bibliometric analysis were performed to objectively summarize the growth of IoT research in healthcare. To begin, 2,990 journal articles were carefully selected for further investigation. These publications were analyzed based on various bibliometric metrics, including publication year, journals, authors, institutions, and countries. Keyword co-occurrence and co-citation networks were generated to unravel significant research hotspots. The findings show that IoT research has received considerable interest from the healthcare community. Based on the …

Engaging Young Female Students In Digital Technology Programs: Part One, Sarah Buckley, Syeda Kashfee Ahmed, Kristy Osborne, Celia Mcneilly, Shani Sniedze, Rachel Felgate

Digital learning research

This report is part of a larger project commissioned by CSIRO and designed to highlight the enablers and barriers to young female students engaging with digital technology. By addressing this function, the report will thereby aid CSIRO to increase the participation of young female students in the digital technology programs offered by CSIRO’s Education and Outreach (CEdO) unit. CSIRO’s Digital Careers team have developed activities and resources to enhance and extend students’ computational thinking skills and to develop other integral skills such as teamwork, critical and creative thinking, and problem solving. In collaboration with industry partners, CEdO are responsible for …

Mentoring Experiences Of Undergraduate Students And Faculty Members In Science, Technology, Engineering, And Mathematics, Pamela Martínez Oquendo

School of Natural Resources: Dissertations, Theses, and Student Research

I present a comprehensive view of mentoring experiences of undergraduate students and faculty members in science, technology, engineering, and mathematics (STEM). In Chapter 1, I describe a brief outline of this dissertation. In Chapter 2, I present an interpretative phenomenological analysis of the lived experiences of former STEM undergraduate mentors of the Nebraska STEM For You (NE STEM 4U) afterschool mentoring program. In Chapter 3, I describe how the ramifications of faculty mentorship influence the science pipeline using a qualitative synthesis. In Chapter 4, I describe how the STEM faculty-student mentoring engagement involves a strong psychological support component using a …

The Effects Of Temperature And Flooding Duration On The Structure And Magnitude Of A Floodplain Prey Subsidy, Ryan J. Rezek, Jordan A. Massie, James A. Nelson, Rolando O. Santos, Natasha M. Viadero, W. Ryan James, Ross E. Boucek, Jennifer S. Rehage

Marine Science

Riverine floodplains serve as an important link between terrestrial and aquatic systems, as the rising and falling of water drive spatial food web subsidies that are critical to the functioning and stability of ecosystems. As these systems are increasingly impacted by hydrological alterations and climate change, it is important to understand how floodplain spatial food web subsidies may respond to changing environmental conditions.

Here, we examine the interannual variation in the structure of a sunfish (Lepomis spp.) prey subsidy from freshwater marshes into the mangrove-lined creeks of Rookery Branch in the Florida Coastal Everglades that occurs during seasonal dry downs. …

On The Variability Of In Situ Surface Layer Refractivity Measurements, Douglas M. Pastore, Ryan T. Yamaguchi, Qing Wang, Erin E. Hackett

Marine Science

Direct measurements of profiles of atmospheric properties near the ocean surface and within the marine atmospheric surface layer often contain a large degree of variability. The variability observed can be explained by numerous technical and natural reasons such as the temporal variability over the time span a profile is measured (unsteadiness in the mean), spatial variations (inhomogeneity), turbulent fluctuations, and measurement uncertainty. In this study, we explored the observed variability in vertical distributions of refractive index measured with a tethered-balloon-based marine atmospheric profiling system (MAPS). MAPS profiled the atmosphere from approximately 0.5 to 50 m, with instantaneous (order 1 s) …

An Analysis Of The Suitability Of Philosophy As A Core K-12 Public School Subject, Mark Christopher Blythe

Doctor of Education (EdD)

In 2005 Michael Katz invited philosophers of education to reinvigorate the inquiry into what is required to provide a proper education for everyone to lead a productive life. In the literature review, I analyze the suitability of philosophy in teaching K-12 students how to think and reason logically—essential abilities for a productive life. I also examine the educational landscape through the philosophy of Nicholas Rescher’s Cognitive-Values Theory and address the value of learning philosophy. I present a Philosophical Dialectic that shows how epistemic diversity (aporetic clusters) justifies making philosophy a K-12 core subject while analyzing philosophers’ reasons for including philosophy …

Raising The Floor From The Back Door: Shareholder Proposals As A Mechanism For Raising Minimum Wage, Laura Carrier

Washington and Lee Law Review

When adjusted to reflect inflation, the federal minimum wage is almost 40 percent lower than it was in 1970. The Biden Administration tried and failed to legislatively raise the minimum wage, and political deadlock will continue to kill legislative change. The shareholder proposal, a nonbinding recommendation to management that shareholders can submit for a vote at a public corporation’s annual meeting, presents a path for improving the wages of many workers in the absence of federal legislation. This Note analyzes the best approach to crafting a shareholder proposal on minimum wage that will prompt an effective increase in the minimum …

Exploring The Impact Of Students Demographic Attributes On Performance Prediction Through Binary Classification In The Kdp Model, Issah Iddrisu, Peter Appiahene, Obed Appiah, Inusah Fuseini

Knowledge Engineering and Data Science

During the course of this research, binary classification and the Knowledge Discovery Process (KDP) were used. The experimental and analytical capabilities of Rapid Miner's 9.10.010 instructional environment are supported by five different classifiers. Included in the analysis were 2334 entries, 17 characteristics, and one class variable containing the students' average score for the semester. There were twenty experiments carried out. During the studies, 10-fold cross-validation and ratio split validation, together with bootstrap sampling, were used. It was determined whether or not to use the Random Forest (RF), Rule Induction (RI), Naive Bayes (NB), Logistic Regression (LR), or Deep Learning (DL) …

Development And Testing Of A New Method For Velocity-Selecting White Dwarfs From Gaia By Galactic Population, Joseph Hammill

Doctoral Dissertations and Master's Theses

The detailed processes by which spiral galaxies form remains an open question in modern cosmology. Observations of the current configuration of spiral galaxies including the Milky Way reveal thin and thick disk and halo populations which must all be accounted for in formation theories and likely have distinct ages. Using the Milky Way as an example to probe this question, we are studying the formation history of these structures.

This work details our approach to age-dating the galaxy, velocity-selecting targets from a sample of white dwarfs from the Gaia DR3 catalog that have also been age-analysed using BASE-9. BASE-9 uses …

Modeling, Control, And Hardware Development Of A Thrust-Vector Coaxial Uav, Andrew North

Doctoral Dissertations and Master's Theses

This thesis introduces a unique thrust vector coaxial unmanned aerial vehicle (UAV) configuration and presents a comprehensive investigation encompassing dynamics modeling, hardware design, and controller development. Using the Newton-Euler method, a dynamic model for the UAV is derived to gain in-depth insights into its fundamental flight characteristics. A simple thrust model is formulated and modified by comparing it with data obtained from vehicle testing. The feasibility of manufacturing such a vehicle is assessed through the development of a hardware prototype. Finally, a linear state feedback controller is designed and evaluated using the non-linear dynamics model. The results demonstrate successful validation …

In-Flight Testing & Verification Of An Adaptive Distributed Fault-Tolerant Control Architecture, Michael Budihartono

Doctoral Dissertations and Master's Theses

The interest in utilizing multi-agent systems (MAS) has increased in the aerospace industry. Its scalability, efficiency, robustness, fault tolerance, and cost-effectiveness make it ideal for performing real-world missions that require more than one agent. However, in completing the tasks, the multi-agent systems are still vulnerable to environmental disturbances, cyber-attacks, and hardware failures. Therefore, an adaptive distributed fault-tolerant control architecture is needed to minimize the impacts of the previously stated circumstances and ensure the mission can continue successfully.

This thesis describes the development of an experimental setup for testing and validating an adaptive consensus algorithm and a bio-inspired health management architecture. …

Accreditation As A Framework For School Improvement: A Quantitavite Study, Michael A. Burroughs

Doctor of Education (Ed.D)

This study investigated the perceptions of heads of schools from accredited schools concerning whether the accreditation process, as prescribed by the League of Christian Schools (LCS), leads to improvement in leadership capacity and the impact of instruction on the learning environment. The League of Christian Schools has developed an accreditation process that is based in systems theory as espoused by Senge (2006), which contributed to the theoretical framework for this study. Administrators in LCS member K12 schools provided 25 responses to an anonymous online survey. Quantitative data were collected and analyzed to determine perceptions regarding increased organizational capacities in the …

Characterization Of Antimicrobial Properties Of Excrement And Functional Microbiome Of Black Vultures (Coragyps Atratus), Bridgette Gray

Theses

Black vultures, Coragyps atratus, are obligate scavenging birds that consume and dispose of decaying carcasses and carrion. They fulfill a key ecological niche in the environments in which they live. It has been observed that these vultures sometimes excrete bodily waste onto their legs. This adaptive behavior could help aid them in controlling bacteria and other microbes they encounter while stepping into a carcass to eat. This study directly examined the antimicrobial properties of the excrement of black vultures across various bacterial species utilizing a zone of inhibition test and a nematode species utilizing a survival assay. The black vulture …

Moving Forward With Music To Promote Student Growth: A Mixed Methods Study With 9th-Grade Algebra 1 Students, Willie Mae Dean

Dissertations

The purpose of this mixed methods study was to investigate what effect music had on student achievement and student behavior during independent practice time for 9th-grade Algebra 1 students. Benchmark assessments from the participating district, a focus group of six students, and four in-person teacher interviews provided the data for this study. The beginning-of-year Galileo Algebra 1 benchmark assessment was used as a baseline for the study. Algebra 1 teachers were asked to participate in one of three ways, to play teacher-selected music, to allow students to listen to their own music, or allow no music to be played during …

Inclusivity In Introductory Stem Courses: A Guide To Improving Student (And Instructor!) Mindsets, Lou K. Charkoudian, Carla Fröhlich, Mike Hildreth

Books

Inclusivity in Introductory STEM Courses: A Guide to Improving Student (and Instructor!) Mindsets grew out of a Cottrell Scholar Collaborative project to help create more inclusive STEM learning spaces, in collaboration with FLAMENet, a national network of science faculty, psychologists, and education researchers working to develop and research interventions to promote resilience and tenacity among college-level STEM students. The book is a compilation of the specific approaches discussed in project mini-workshops, as well as a collection of contributions from individual Cottrell Scholars about various interventions they have implemented at their institutions.

Measuring Resilience To Sea-Level Rise For Critical Infrastructure Systems: Leveraging Leading Indicators, Lamis Amer, Murat Erkoc, Rusty A. Feagin, Sabarethinam Kameshwar, Katharine J. Mach, Diana Mitsova

Faculty Publications

There has been a growing interest in research on how to define and build indicators of resilience to address challenges associated with sea-level rise. Most of the proposed methods rely on lagging indicators constructed based on the historical performance of an infrastructure sub-system. These indicators are traditionally utilized to build curves that describe the past response of the sub-system to stressors; these curves are then used to predict the future resilience of the sub-system to hypothesized events. However, there is now a growing concern that this approach cannot provide the best insights for adaptive decision-making across the broader context of …

High Performance Scene Generator For Testing Of Imaging Sensors, Austin Modoff

Electrical Engineering Theses and Dissertations

Since the invention of modern solid-state imaging sensors in the 1980s, considerable advancements have been made, improving aspects such as frequency response, dynamic range, resolution, and wavelength diversity, as well as inventing many different types of sensor architectures such as framing sensors and event sensors. While considerable improvements in this field are evolving every day, the methods by which to test and validate these systems remain unchanged. Many of these test platforms require specialized designs to test only one or two specific qualities. For example, a spinning disk in front of a black body source to measure the frequency response …