Digital Commons Network^™

The Role Of Artificial Intelligence In Workforce Learning And Development: A Systematic Review, Mildred V. Jones

Educational Leadership & Workforce Development Theses & Dissertations

The purpose of this study is to investigate how artificial intelligence (AI) is currently employed in workforce learning and development. The study examined the types of AI employed and the affordances realized for organizations and employees. A PRISMA systematic review methodology was utilized to address the overarching problem statement and answer the three questions guiding the study. The PRISMA extension Preferred Reporting Items for Systematic Reviews and Meta Analysis for Protocols was used to direct each phase of the research. In addition, the Preferred Reporting Items for Systematic Reviews and Meta Analysis was used to conduct the article selection process. …

Analysis Of Industry Recognized Credentials That Lead To Quality Employment For High School Graduates, Teri L. Harris

Educational Leadership & Workforce Development Theses & Dissertations

The purpose of this study was to identify to what extent industry recognized credentials (IRCs) earned in secondary school lead to high quality employment for students after high school and which specific IRCs should be integrated into career and technical education (CTE) courses. This author sought to explore if CTE courses in high school could be the vehicle for students to earn IRCs that led to higher quality jobs, higher pay, and a job to support a family. The researcher gathered empirical evidence using existing data from a survey of business leaders in each of the nationally recognized 14 Career …

Mapping Perspectives: Community College Career Advisors’ Viewpoints For Enhancing Economic Mobility And Career Selection—A Q Methodology Study, Christopher Ryan Harrison

Educational Leadership & Workforce Development Theses & Dissertations

In an era of rapid workforce transformation and increasing demand for postsecondary career readiness, community college career advisors play a critical role in supporting students’ economic mobility and informed career decision-making. Traditional academic advising, which primarily focuses on course registration and degree completion, may not fully address students’ evolving career development needs. This study employed Q methodology to examine the subjective viewpoints of career advisors in North Carolina community colleges regarding strategies to enhance students’ career outcomes. Grounded in human capital theory and career construction theory, the study investigated how advisors integrate labor market data, wage trends, and workforce expectations …

Unraveling Early Onset Disparities And Determinants: An Analysis Of Colorectal Cancer Outcomes And Trends In Texas, Tyler Torres, Elias Arellano Villanueva, Yossef Alsabawi, Demba Fofana, Manish Tripathi

School of Medicine Publications

Introduction: Colorectal cancer (CRC) is the second leading cause of cancer-related deaths in the U.S., with disparities in incidence, survival, and age at diagnosis across racial, ethnic, and socioeconomic groups. The rising incidence of early-onset CRC (< 50 years) has amplified concerns regarding access to care, screening disparities, and outcomes, particularly among minorities. This study examines the impact of race, ethnicity, socioeconomic status (SES), and sex on CRC survival and age at diagnosis in Texas from 1995 to 2016.

Methods: This retrospective cohort study utilized Texas Cancer Registry (TCR) data, including 235,076 CRC cases diagnosed between 1995 and 2016. Kaplan-Meier analysis and log-rank tests assessed 10-year survival by race and ethnicity and time period (1995-2005 vs. 2006-2016). Kruskal-Wallis tests with Bonferroni correction were used to compare survival years between racial/ethnic groups within each period. Age at diagnosis was analyzed by race and …

Solitons, Breathers And Rogue Waves Of The Yajima–Oikawa-Newell Long Wave–Short Wave System, Marcos Caso-Huerta, Bao-Feng Feng, Sara Lombardo, Ken-Ichi Maruno

School of Mathematical & Statistical Sciences Faculty Publications

In this paper, we consider the recently-introduced Yajima–Oikawa–Newell (YON) system describing the nonlinear resonant interaction between a long wave and a short wave. It extends and generalises the Yajima–Oikawa (YO) and the Newell (N) systems, which can be obtained from the YON system for special choices of the two non-rescalable, arbitrary parameters that it features. Remarkably, for any choice of these latter constants, the YON system is integrable, in the sense of possessing a Lax pair. New families of solutions, including the bright and dark multi-solitons, as well as the breathers and the higher-order rogue waves are systematically derived by …

Exploring Transfer Learning For Deep Learning Polyp Detection In Colonoscopy Images Using Yolov8, Fabian Vazquez Jr., Jose Angel Nuñez, Xiaoyan Fu, Pengfei Gu, Bin Fu

Computer Science Faculty Publications

Deep learning methods have demonstrated strong performance in object detection tasks; however, their ability to learn domain-specific applications with limited training data remains a significant challenge. Transfer learning techniques address this issue by leveraging knowledge from pre-training on related datasets, enabling faster and more efficient learning for new tasks. Finding the right dataset for pre-training can play a critical role in determining the success of transfer learning and overall model performance. In this paper, we investigate the impact of pre-training a YOLOv8n model on seven distinct datasets, evaluating their effectiveness when transferred to the task of polyp detection. We compare …

Know Where You Go: Infestation Dynamics And Potential Distribution Of Two Bed Bug Species (Hemiptera: Cimicidae) In Africa, Dennis M. Mbuta, Bonoukpoè M. Sokame, Fathiya M. Khamis, Komivi S. Akutse

All Peer-Reviewed Publications

Bed bugs (Hemiptera: Cimicidae) are blood-feeding insects closely linked with humans and animals, causing discomfort, and posing potential threats as disease vectors. This study focuses on Cimex lectularius (common bed bug) and Cimex hemipterus (tropical bed bug), the two key species identified in Africa. Cimex lectularius infests human habitats, while C. hemipterus, more common in Africa, infests diverse habitats, including bat colonies. In our study, we investigated the infestation dynamics and distribution of bed bugs in Africa, when considering climate, habitat, and host availability using system dynamics and ecological niche modelling techniques. System dynamics modelling analyses in Kenya revealed varied …

Volume 34, Number 1, Spring 2025, Office Of Communications, Illinois Wesleyan University

Illinois Wesleyan University Magazine, 2018-present

VOLUME 34 | NUMBER 1 | Spring 2025

ON OUR COVER:

The Shirk Center has been a cherished University landmark for 30 years.

22 30 Years of Shirk. In 2024, the Shirk Center reaced a new milestone with its 30th anniversary. The Center still serves as an essential community hub for campus and Bloomington-Normal.

24 A Hearth for Haiti. Kevin Hineline '88 is working with IWU physics students to develop a new cooking stove for use in the most impoverished and disaster-stricken regions of the world.

28 Setting the Standard. Jeff Becker '01 and Matt Gavin '01 are the minds …

Multiphase Iterative Algorithm For Mixed-Integer Optimal Control, Chaoying Pei, Sixiong You, Yu Di, Ran Dai

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Mixed-integer optimal control problems (MIOCPs) frequently arise in the domain of optimal control problems (OCPs) when decisions including integer variables are involved. However, existing state-of-the-art approaches for solving MIOCPs are often plagued by drawbacks such as high computational costs, low precision, and compromised optimality. In this study, we propose a novel multiphase scheme coupled with an iterative second-order cone programming (SOCP) algorithm to efficiently and effectively address these challenges in MIOCPs. In the first phase, we relax the discrete decision constraints and account for the terminal state constraints and certain path constraints by introducing them as penalty terms in the …

Investigating Teachers' Perceptions On The Effectiveness Of School Inspection In Public Schools In The United Arab Emirates, Ruqaia Adel Mohammed

Theses

School inspection plays a significant role in ensuring quality education in UAE public schools. This paper investigates public school teachers’ perceptions of the effectiveness of school inspections in the United Arab Emirates (UAE) and examines the impact of teachers’ demographic factors on these perceptions. A total of 218 teachers across the UAE participated in the study. The research focused on four key domains within the School Inspection Perception Framework (SIPF): Perceived Effectiveness of School Inspections (PESI), Perceived Effectiveness of School Inspection Training (PESIT), Perceived Credibility of School Inspections (PCSI), and Perceived Usefulness of School Inspection Feedback (PUSIF). Data were collected …

Study Of Falāj Pathways And Their Unknown Extension In Al Ain City Using Geophysical Methods, Saud Mohammed Alsenaani

Theses

Historically, the city of Al Ain has relied on its Falāj systems as historic water resources for freshwater, which is vital for drinking and irrigating its oases and essential for supporting life in the region for centuries, providing the foundation for communities and farming. The remarkable rainfall in 2024 uncovered several hidden ancient Falāj systems and newly enlarged versions of previously recorded ones, highlighting the importance of ongoing research for their preservation. This research project aims to examine the current Falāj systems in Al Ain, particularly Falāj Mezyad, using geophysical methods to identify uncharted extensions and to examine current Falāj …

Model-Predictive Optimal Control Of Ferrofluidic Microrobots In Three-Dimensional Space, E. Olga Skowronek, Luke Silas Baker, Reza Ahmed, Hamid Marvi

Mechanical Engineering Faculty Publications

Ferrofluid microrobots have emerged as promising tools for minimally invasive medical procedures. Their unique properties to navigate complex fluids and reach otherwise inaccessible regions of the human body have enabled new applications in targeted drug delivery, tissue engineering, and diagnostics. This paper proposes a model-predictive controller for the external magnetic manipulation of ferrofluid microrobots in three dimensions (3D). The internal optimization routine of the controller determines appropriate changes in the applied electromagnetic field to minimize the deviation between the actual and desired trajectories of the microrobot. A linear system governing locomotion is derived and used as the equality constraints of …

Towards Testing, Detecting, And Debloating Insecure Components In Android Applications, Zicheng Zhang

Dissertations and Theses Collection (Open Access)

The Android ecosystem’s openness and extensibility have fueled its dominance in the mobile market, but they also broaden the attack surface of applications by introducing insecure or redundant methods. Vulnerabilities arise from various sources, including insecure API usage, code cloning, and feature bloat, especially from unneeded components introduced during development. To address these challenges, this dissertation presents a systematic, three-phase pipeline that transitions seamlessly from vulnerability discovery to clone-based detection and, ultimately, to dynamic mitigation through runtime debloating. Each phase builds upon the insights and limitations of the previous, collectively forming a practical approach to improving Android app security.

In …

Reply To Bratchenko And Bratchenko, “Overestimation Of The Classification Model For Raman Spectroscopy Data Of Biological Samples”, Xin Ru Wen, Jia-Wei Tang, Liang Wang

Research outputs 2022 to 2026

No abstract provided.

How Financial Aid Affects The Odds Of Study Abroad Participation For Students Of Color, Patrick Newcomb

LSU Doctoral Dissertations

Prior research has shown that studying abroad provides students with enriching, diverse educational experiences with positive personal, academic, and professional outcomes. Despite the benefits, only a small portion of American higher education students participate in study abroad programs. Students of color disproportionately study abroad at lower rates than White students. Since cost is often cited as the primary barrier preventing education abroad, this study examined the types of financial aid associated with study abroad access and participation.

This study used data from the National Postsecondary Student Aid Study, which is a nationwide dataset designed to represent the makeup of institutions …

Approximations Of Koopman Operator Semigroups, Ibrahem Al Jabea

LSU Doctoral Dissertations

The main purpose of this dissertation is to study approximation methods for nonlinear systems using Bernhard Koopman's Global Linearization Method or Sophus Lie's method of continuous transformation groups. This approach enables the application of linear semigroup methods to a nonlinear system by focusing on the dynamics of the observables of the states, rather than directly studying the dynamics of the states. In this dissertation, we studied the pointwise semigroup and introduce the modified space $C_m(\Omega)$ and the modified Koopman-Lie semigroups. We use a splitting operator and outline a systematic approach for approximating the pointwise Koopman-Lie semigroup flows \begin{equation*} t\to T(t)g(x) …

A Novel Diffusion-Based Cryptographic Method For Cyber Security, Kamaran Adil Ibrahim, Basim Najim Al-Din Abed, Sura Abed Sarab Hussien

Mesopotamian Journal of CyberSecurity

Data security remains a critical concern, especially for lightweight and resource-constrained environments. Traditional lightweight designs, such as those relying on linear congruential generators (LCGs) are susceptible to predictability and vulnerability to statistical attacks. This paper proposes an enhanced diffusion-based encryption framework that replaces the LCG with the ChaCha20 stream cipher for pseudorandom sequence generation and introduces a key-dependent bit-shuffling mechanism to strengthen diffusion. The methodology integrates three key stages. First, pseudorandom keystream generation is performed via ChaCha20 with a 256-bit key and a 96-bit nonce derived from the encryption key. Second, modular arithmetic-based diffusion (addition/XOR) is applied between the plaintext …

Hybrid Renewable Multi-Generation System Optimization: Attaining Sustainable Development Goals, Md Shahriar Mohtasim, Barun K. Das, Utpol K. Paul, Md Golam Kibria, Md Sanowar Hossain

Research outputs 2022 to 2026

The optimization of hybrid renewable multi-generation systems is crucial for enhancing energy efficiency, reducing costs, and ensuring sustainable power generation. These factors can be significantly affected by system designs, optimization methods, climate changes, and varying energy demands. The optimization of a stand-alone hybrid renewable energy system (HRES) that integrates various combinations of electricity, heating, cooling, hydrogen, and freshwater needs has not been reported in a single comprehensive study. Additionally, there has been insufficient attention given to the impact of temporal resolution, the recovery of excess energy usage, and aligning these efforts with the sustainable development goals (SDGs). This study reviews …

Performance Comparison Of Flat Sheet And Hollow Fibre Air Gap Membrane Distillation: A Mathematical And Simulation Modelling Approach, Hamed Kariman, Hussein A. Mohammed, Masoumeh Zargar, Mehdi Khiadani

Research outputs 2022 to 2026

Membrane Distillation (MD) systems could address current challenges related to global water demand. Among MD systems, Air Gap Membrane Distillation (AGMD) systems play crucial roles in addressing this challenge. AGMD systems can be categorized into two main structural groups: flat sheet and hollow fibre forms. It is important to study, analyse, model and compare these two systems under the same operational conditions. In this study, a detailed mathematical model of flat sheet and hollow fibre AGMD modules under the same conditions (i.e., membrane type, membrane area, porosity, and pore radius of membrane) has been introduced. The simulation of system performance …

Network-Based Crypto Asset Analysis, Ling Cheng

Dissertations and Theses Collection (Open Access)

The rise of cryptocurrency, particularly Bitcoin (BTC), has revolutionized the financial landscape, enabling decentralized, peer-to-peer transactions without the need for intermediaries such as banks or financial institutions. Since its inception in 2009, Bitcoin has grown exponentially, not only in terms of market value but also in its impact on global finance. However, together with this popularity comes a wide range of cybercrimes including hacking, Ponzi schemes, wash trading, extortion, and money laundering. As noted in recent research, the volume of illicit cryptocurrency activities has grown significantly, with billions of dollars in crypto assets being stolen or used for illegal purposes …

The Impact Of Ai Usage On Employee Work Outcomes: The Mediating Roles Of Personal Control And Job Insecurity And The Moderating Role Of Ai Trust, Tiantian Wang

Dissertations and Theses Collection (Open Access)

The widespread application of artificial intelligence (AI) technology in the workplace offers significant potential for process optimization andperformance improvement. However, the psychological mechanisms throughwhich AI usage affects employee outcomes remain underexplored. To address this gap, the present study investigated a sample of 170 employees froma media company in China, utilizing a three-wave longitudinal survey design. Specifically, this study examined how AI usage influenced employee creativity and task performance improvement through two mediatingmechanisms: the enhancement of personal control in problem-solving and the elicitation of job insecurity. Furthermore, the moderating role of trust in AI inthe relationship between AI usage and job …

Towards Real-World Unsupervised Anomaly Detection For Images, Zhonghang Liu

Dissertations and Theses Collection (Open Access)

In the era of big data, data quality plays a critical role in computer vision, where the reliability and purity of training images are essential for optimal performance. When training models such as image classifiers and object detectors, the quality of the training data directly influences the success of the model. In other words, if the training dataset is contaminated, the model’s performance might accordingly decrease.

To address this challenge, unsupervised anomaly detection (UAD) has become an attractive research area. By automatically removing these anomalous data points, UAD can help improve the accuracy and robustness of machine learning models in …

The Impact Of Awards And Honors On Project Bidding, Ren Wang

Dissertations and Theses Collection (Open Access)

This dissertation conducts a systematic study on the successful transformation and upgrading of China's automotive industry over the past decade, especially the remarkable progress made in the field of Electric and Intelligent Vehicles, and examines how China's automotive industry chain has seized the historical opportunity of the great transformation of the global automotive industry by “Four Modernizations”—electrification, intelligentization, lightweighting and modularization along the path of "Independent Innovation", and realized the overall improvement of both corporate performance and industrial strength under the synergy of strategic investors.

China has newly become the world's largest automotive exporter and successfully built up an advantageous …

Temporal Relational Graph Convolutional Networks For Financial Applications, Brindha Priyadarshini Jeyaraman

Dissertations and Theses Collection (Open Access)

The financial industry operates within a highly dynamic and interconnected ecosystem, presenting unique challenges for predictive modeling and decision-making. Accurately forecasting financial performance, assessing credit risk, detecting fraud, and ensuring compliance require methodologies that can capture complex temporal, relational, and contextual dependencies within financial data. This thesis investigates the use of Temporal Relational Graph Convolutional Networks (TRGCNs) combined with financial knowledge graphs (FKGs) to address these challenges and enable advanced analytics in the financial domain. We introduce FintechKG, a financial knowledge graph constructed through a threedimensional information extraction process, incorporating entities, temporal dimensions, and domain-specific financial relationships. A TRGCN-based framework …

Interferometric Differential High-Frequency Lock-In Probe For Laser-Induced Vacuum Birefringence, R. G. Bullis, Ulrich D. Jentschura, D. C. Yost

Physics Faculty Research & Creative Works

We propose a measurement of laser-induced vacuum birefringence through the use of pulsed lasers coupled to femtosecond optical enhancement cavities. This measurement technique features cavity-enhanced pump and probe pulses, as well as an independent control pulse. The control pulse allows for a differential measurement where the final signal is obtained using high-frequency lock-in detection, greatly mitigating time-dependent cavity birefringence as an important and possibly prohibitive systematic effect. In addition, the method features the economical use of laser power and results in a relatively simple experimental setup.

Phases And Dynamics Of Quantum Droplets In The Crossover To Two-Dimensions, Jose Carlos Pelayo, George Bougas, Thomás Fogarty, Thomas Busch, Simeon I. Mistakidis

Physics Faculty Research & Creative Works

We explore the ground states and dynamics of ultracold atomic droplets in the crossover region from three to two dimensions by solving the two-dimensional and the quasi-two-dimensional extended Gross-Pitaevskii equations numerically and with a variational approach. By systematically comparing the droplet properties, we determine the validity regions of the pure two-dimensional description, and therefore the dominance of the logarithmic nonlinear coupling, as a function of the sign of the averaged mean-field interactions and the size of the transverse confinement. One of our main findings is that droplets become substantially extended upon transitioning from negative-to-positive averaged mean-field interactions. This is accompanied …

Spectral Width Of Maximum Deposition Eigenchannels In Diffusive Media, Rohin E. Mcintosh, Arthur Goetschy, Nicholas Bender, Alexey Yamilov, Chia Wei Hsu, Hasan Yllmaz, Hui Cao

Physics Faculty Research & Creative Works

The maximum deposition eigenchannel provides the largest possible power delivery to a target region inside a diffusive medium by optimizing the incident wavefront of a monochromatic beam. It originates from constructive interference of scattered waves, which is frequency sensitive. We investigate the spectral width of the maximum deposition eigenchannels over a range of target depths using numerical simulations of a 2D diffusive system. Compared to tight focusing into the system, power deposition to an extended region is more sensitive to frequency detuning. The spectral width of enhanced delivery to a large target displays a rather weak, nonmonotonic variation with target …

Tunable Pairing With Local Spin-Dependent Rydberg Molecule Potentials In An Atomic Fermi Superfluid, Chih Chun Chien, Seth T. Rittenhouse, S. I. Mistakidis, H. R. Sadeghpour

Physics Faculty Research & Creative Works

We explore the energy spectrum and eigenstates of two-component atomic Fermi superfluids with tunable pairing interactions in the presence of spin-dependent ultralong-range Rydberg molecule (ULRM) potentials, within the Bogoliubov-de Gennes formalism. The attractive ULRM potentials lead to local-density accumulation, while their difference results in a local polarization potential and induces the in-gap Yu-Shiba-Rusinov (YSR) states whose energies lie below the bulk energy gap. A transition from equal population to population imbalance occurs as the pairing strength falls below a critical value, accompanied by the emergence of local Fulde-Ferrell-Larkin-Ovchinnikov (FFLO)-like states characterized by out-of-phase wave functions and lower energies compared to …

Radiative Energy And Mass Shifts Of Quantum Cyclotron States, Ulrich D. Jentschura

Physics Faculty Research & Creative Works

Abstract: We discuss relativistic and radiative corrections to the energies of quantum cyclotron states. In particular, it is shown analytically that the leading logarithmic radiative (self-energy) correction to the bound-state energy levels of quantum cyclotron states is state independent and must be interpreted as a magnetic field-dependent correction to the electron's mass in a Penning trap.

Influence Of The Impact Parameter For Ionization Of Argon By Fast Positrons And Electrons On The Postcollision Kinematics And Triply Differential Spectra, Robert D. Dubois, K. Tokési

Physics Faculty Research & Creative Works

Classical trajectory Monte Carlo calculations for fast positron and electron impact ionization of argon are used to provide information about how the pre- and post collision kinematics alter the triply differential spectra. It is shown that in addition to the scattering direction expected for a positive or negative projectile passing near a partially screened nuclear charge, scattering in the opposite direction also occurs. Independent of energy transfer, when the impact parameter is less than the mean radius of the 3p electron cloud, the expected direction of scattering always occurs. In contrast, for scattering in the opposite direction, the impact parameter …