Digital Commons Network^™

Quantum Phase Coherent Tunneling In A Mixed-Morphology Superlattice Heterostructure, Qing Shao, Can C. Aygen, Xianyu Chen, Woongkyu Lee, Robert P.H. Chang, Julia E. Medvedeva, Matthew A. Grayson

Physics Faculty Research & Creative Works

Multilayer phase coherence is demonstrated in a mixed morphology superlattice heterostructure, generalizing the paradigm for superlattice miniband engineering. Thirty years since the original proposal by Tsu, a superlattice has been realized with alternating amorphous (a-MoO₃) and polycrystalline (pc-In2O₃) layers, whose high-quality exhibits quantum phase coherence across multiple periods of amorphous barriers. Cross-plane phase coherence is quantified via weak localization signatures in magnetic field under the diffusive Fermi-surface model.

Systematic Review Of Elementary Cybersecurity Education: Curriculum, Pedagogy, And Barriers, Na Liu, Siyu Long, Florence Martin

Journal of Cybersecurity Education, Research and Practice

Abstract -As children increasingly engage with digital platforms, the need for effective cybersecurity education has become urgent. This systematic review synthesizes 81 studies published between 2017 and 2024 to examine global curricula research focus and topics, pedagogical approaches and assessment methods, and key challenges in elementary cybersecurity education. The findings reveal six major thematic categories: student awareness, parental mediation, teacher engagement, curriculum design, community and policy support, and pedagogical innovation. Among instructional strategies, game-based learning and narrative storytelling emerge as the most frequently explored. Despite this growth, major gaps remain in curriculum consistency, teacher preparation, assessment rigor, and stakeholder coordination. …

Experts’ Validation Of The Fundamental Cybersecurity Competency Index (Fcci) Using A Commercial Cyber Range Through Human-Generative Artificial Intelligence (Genai) Teaming, Dariusz Witko, Yair Levy, Catherine Neubauer, Greg Simco, Laurie P. Dringus, Melissa Carlton

Journal of Cybersecurity Education, Research and Practice

The increasing volume of cyber threats, combined with a critical shortage of skilled professionals and rising burnout among practitioners, highlights the urgent need for innovative solutions in cybersecurity operations. Generative Artificial Intelligence (GenAI) offers promising potential to augment human analysts in cybersecurity, but its integration requires rigorous validation of the fundamental competencies that enable effective collaboration of human-GenAI teams. This research study employed a mixed-methods research project designed to evaluate human-GenAI teams, emphasizing the role of expert consensus in shaping the experimental assessment of the Fundamental Cybersecurity Competency Index (FCCI) in a commercial cyber range. We engaged 20 Subject Matter …

Security And Privacy Of Wearable And Implantable Medical Devices: A Course-Based Approach To Medical Device Cybersecurity Education, Michelle M. Ramim

Journal of Cybersecurity Education, Research and Practice

As wearable and implantable medical devices become integral to remote patient monitoring and precision medicine, the associated cybersecurity and privacy risks demand urgent attention. These devices are increasingly targeted by cyberattacks, potentially endangering patient safety and data integrity. To address this, we developed an experiential learning course titled Security and Privacy of Wearable and Implantable Medical Devices, designed for advanced undergraduate and graduate students in health and medical fields. The course immerses students in real-world challenges through lectures, labs, and project-based learning, leveraging wearable devices such as FitBit^TM to analyze and interpret real-time personal health data. The curriculum …

Electric-Field Tunable Magnetoexcitons In Xenes/Hbn/Tmdc, Xenes/Hbn/Bp, And Xenes/Hbn/Tmtc Heterostructures, Roman Ya. Kezerashvili, Anastasia Spiridonova, Klaus Ziegler

Publications and Research

In this work, we propose novel van der Waals heterostructures composed of Xenes, transition metal dichalcogenides (TMDCs), phosphor ene, and transition metal trichalcogenides (TMTCs), which are separated by insulating hexagonal boron nitride (hBN) layers. We theoreti cally investigate the behavior of Rydberg indirect excitons in Xenes/hBN/TMDC, Xenes/hBN/phosphorene and Xenes/hBN/TMTC heterostructures subjected to parallel external electric and magnetic fields that are oriented perpendicular to the layers. By incorporating both isotropic and anisotropic materials, we demonstrate that excitonic properties can be effectively tuned through the external field strengths and the heterostructure design. Our results show that the exciton reduced mass and the …

Practical Real-Time Permanent Magnet Energy Spectrometer Using A Diode Array For Therapeutic Electron Beam Tuning And Quality Assurance, Mason W. Heath

LSU Doctoral Dissertations

Purpose: Develop a practical, real-time permanent magnet electron energy spectrometer and evaluate it for beam tuning and quality assurance (QA) of therapeutic electron beams.

Methods: Aim 1: A 0.55 T permanent magnet was coupled to Sun Nuclear SRS MapCHECK® PC boards, providing two interlaced diode arrays. Detector response, R_meas(z_diode) versus diode position z_diode, was extracted from raw diode array readings, correcting for diode sensitivity and other factors. Using Monte Carlo (MC) computed, monoenergetic detector response functions, a curve-fitting algorithm extracted the energy spectrum, from R_meas(z_diode). The energy spectra for 7-20 …

Experimental And Anharmonic Theoretical Spectroscopic Benchmarks Of Nitrogenated And Doubly-Nitrogenated Polycyclic Heterocycles, Selma Bejaoui, Brant E. Billinghurst, Christiaan Boersma, Vincent J. Esposito

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

In this study, we report the first high-resolution gas-phase infrared absorption spectra and anharmonic vibrational simulations for three nitrogenated aromatic molecules, namely indole (C₈H₇N), 1,5-diazabicyclo[4.3.0]non-5-ene (DBN; C₇H₁₂N₂), and 1,8- diazabicyclo[5.4.0]undec-7-ene (DBU; C₉H₁₆N₂) with excellent agreement between measurement and computation. Anharmonic cascade emission spectra (2–8 eV) of the three systems show that nitrogen substitution strongly modifies the emission spectra: indole reproduces the unidentified 3.3 μm emission in Titan’s atmosphere, while DBN and DBU exhibit redshifted aliphatic C–H stretches. In the 5–10 μm region, …

Reproducing Data Analysis Of A Published Phytoplankton Bioassay Experiment To Learn Standard Error, Alanna L. Lecher

Faculty and Staff Publications & Presentations

The ability to use conversion factors, calculate error, and evaluate the quality of data quantitatively is essential for student success in science fields. Specifically, within biological oceanography, the use of Redfield Ratios to determine nutrient limitation is a base concept. In this Excel-based lesson students reproduce a figure and analysis from a published scientific article detailing a phytoplankton bioassay experiment. As part of the lesson students calculate and propagate error and use Redfield Ratios to determine nutrient limitation. Conflicting quantitative results force students to evaluate the limitations of the experiment and justify their conclusions. Reproducing the results of the published …

Exploring Runtime Evolution In Android: A Cross-Version Analysis And Its Implications For Memory Forensics., Babangida Bappah

LSU Master's Theses

Userland memory forensics has become a critical component of smartphone investigations and incident response, enabling the recovery of volatile evidence such as deleted messages from end-to-end encrypted apps and cryptocurrency transactions. However, these forensics tools, particularly on Android, face significant challenges in adapting to different versions and maintaining reliability over time due to the constant evolution of low-level structures critical for evidence recovery and reconstruction. Structural changes, ranging from simple offset modifications to complete architectural redesigns, pose substantial maintenance and adaptability issues for forensic tools that rely on precise structure interpretation. Thus, this paper presents the first systematic study of …

Enhancing Cloud-Based Threat Detection Through Explainable Ai: A Comparative Study Of Machine Learning And Xai-Integrated Models, Amna Al Ghaithi

Thesis/ Dissertation Defenses

The rapid adoption of cloud computing brought about serious security concerns, as cloud infrastructures are constantly exposed to cybersecurity threats such as malware and Distributed Denial of Service attacks. Also, on the other hand, current security methodologies have limitations in identifying new threats accurately. Apart from the fact that ML models are highly efficient in detecting attacks, as ‘black boxes,’ they lack interpretability, impacting trust and adoption within vital cloud environments. This research aims to solve this issue by integrating Explainable Artificial Intelligence practices to help enhance both the accuracy and interpretability of AI systems intended to detect threats in …

Enhanced Privacy Preserving Healthcare Data Management With Federated Learning Using Homomorphic Encryption, Omar Abdulla Ali

Thesis/ Dissertation Defenses

Federated Learning (FL) is a decentralized approach of machine learning on multiple clients jointly training models without sharing their raw data, which drastically improves privacy and enhance protection against security breach. However, there is still a risk of privacy breach when clients send their model updates to the central server, because if a model update is intercepted or analyzed by a malicious entity, it could be used to recover sensitive data using inference attack. To address this issue, Homomorphic Encryption (HE) can be applied to protect against the interception, since the model updates remain encrypted during transmission as well as …

Losing Focus In The Age Of Tik Tok: Clinical Evidence For Policy Action On Social Media Use, Megan Conefrey, Robert Griffin

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Tracking Livestock Heart Rate & Location Using Long-Range Radio Networks. An Immediate Solution For Farms Without Reliable Wi-Fi, Dermott Harkin, Martin Bradley

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Voices Matter: Tackling Accentism In Ireland. A Study Addressing Accent-Based Discrimination Awareness In Education, Sadhbh Reddington, Victoria Graham, Holly Jordan, Mairead Moriarty

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Supporting Single Parents: How Loneliness And Self-Stigma Can Impact Single Parents And Their Quality Of Life, Alana Powell, David Mothersill

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Income Inequality And Attitudes Towards Immigrants – How Increased Inequality Drives Division, Niamh Anderson, Vincent O'Sullivan

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Ireland Blossoms Through Multiculturalism - Designing For Community Connection, Julia Kuczera, Shirley Casey, Hilary Kenna

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Unheard And Underserved: Exploring Support For Male Victims Of Partner Abuse, Michael Keenan, Colletta Dalikeni

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Assessing Demand And Simulating Feasibility For Commuter Rail In Lagging Regional Areas. Case Study: Sligo, Holly Briere-Edney, Brian Mccann

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Ireland's Infrastructure: From Delays To Deliveries!, Conor Barnett, Keren Goodman

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

A Fast-Track Way To Identify Derelict And Vacant Homes For Refurbishment, Dylan O'Donnell, Enda Dunican

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Making Buildings Smarter And More Sustainable With Ai, Anthony Lowe, Martin Klepal

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Solving The Bed Crisis - Predicting 30-Day Hospital Readmissions In Elderly Patients Using Ai, Mark Mckeon, Thoa Pham

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

The Impact Of Chronic Pain On Income And Employment, Jordan Vaarsi, Amber Jolly, Karim S. Ladha

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Living The Life: A Community Approach To Men’S Health And Longevity, Paul Anders, Aisling Mcgrath

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

When Care Can’T Move Forward – The Human And Social Cost Of Freezing Of Gait In Parkinson’S Disease, Padraig Cronin, Lucy M. Collins, Aideen M. Sullivan

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Life Under Pressure: How Doubling The Genome Affects The Memory Of Environmental Stress In Worms, Aisling Phelan, Emma Bazzani, Clément Verdier, Laetitia Chauve, Aoife Mclysaght

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Sticky Genes: Can Repeated Dna Sequences Trigger Motor Neurone Disease?, Guste Venslovaite, Russell Mclaughlin

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Pause For Policy - The Cognitive Cost Of Cannabis Use In Adolescence, Michael O'Connor, Linda Kelly, Emma O'Hora, Claire O'Doherty, Ciaran Brown, An Hsu, Sahar Riaz, Frank Crosson, Darren Roddy, Mary Cannon

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

From Recognition To Action: Advancing Nutrition Care In Irish Healthcare, Aoife Gillane, Sarah Donovan, Lisa Ryan

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.