Digital Commons Network^™

Jou 3302 And Jou 4102, Clas

Executive Actions

No abstract provided.

Eng 4275, Clas

Executive Actions

No abstract provided.

Chhs Exec Action Ksr 4274, Chhs

Executive Actions

No abstract provided.

Phy Astronomy Option, Clas

Executive Actions

No abstract provided.

Ba Art Studio Art Option, Clas

Executive Actions

No abstract provided.

Cmn 2010, Clas

Executive Actions

No abstract provided.

Bio 4816, Clas

Executive Actions

No abstract provided.

His-Wgs 4845, Clas

Executive Actions

No abstract provided.

Wlf 1102, Clas

Executive Actions

No abstract provided.

Nanoscale Analysis Of Ssb-Reco Interplay In Ssb Interaction With The Target, Shivkumar Sharma Irukuvajjula, Shaun Filliaux, Yuri L. Lyubchenko

Journal Articles: Pharmaceutical Sciences

Single-stranded DNA-binding protein (SSB) coats single-stranded DNA (ssDNA) and recruits downstream factors, yet this same coating must be cleared for SSB-interacting proteins to bind. RecA is a central protein in homologous recombination, which requires SSB-free ssDNA to load during the process. RecO, a recombination mediator protein, is thought to regulate this handoff, but it has not been shown directly that RecO drives the release of full-length, ssDNA-bound SSB. Using atomic force microscopy, we show that RecO actively displaces full-length wild-type SSB from a defined ssDNA substrate, reducing occupancy from 67% to 29%. Displacement efficiency decreases after deleting the C-terminal tip …

Ksr 3402g, Chhs

Executive Actions

No abstract provided.

Pubh 4175 Hyflex, Chhs

Executive Actions

No abstract provided.

The Ability To Resist The Expected Impairing Effects Of Alcohol In Heavy And Light Drinkers, Grace Tomaszewski

University of Kentucky Master's Theses

Alcohol tolerance is defined as a diminished response to the drug owing to repeated alcohol exposures. However, drinkers can compensate for alcohol impairment, particularly when they expect to be impaired in the situation. However, the ability to compensate might depend on the behavior impaired by alcohol and the general tolerance already acquired by the drinker. This study tested the degree to which expecting alcohol impairment would reduce alcohol’s impairing effect on reaction time (RT) and fine motor control in those with heavy and light drinking histories. Light drinkers (n=26) and heavy drinkers (n=28) received a 0.65 g/kg alcohol and performed …

The Impact Of Hot V. Cold Water Immersion On Post-Exercise Recovery, Cameron Moss, Aaron Krukemeyer

Williams Honors College, Honors Research Projects

Muscle recovery following exercise-induced soreness has been the focus of extensive research and debate, with Cold Water Immersion (CWI) and Hot Water Immersion (HWI) emerging as two of the most widely used modalities. The purpose of this study was to compare the effects of CWI and HWI on muscle recovery by determining changes in maximal force production of knee extension, range of motion (ROM) of the hip joint in flexion, extension, and abduction, and subjective muscle soreness using a validated Likert scale. Seven male recreational athletes participated in hot and cold-water immersion, and passive recovery. Despite thorough data collection, the …

Age-Related Ultrastructural Differences In The Dorsal Cortex Of The Inferior Colliculus In The Fischer Brown Norway Rat, Kylee M. Tenney, Dakota Smallridge, Gillian Barach, Gurveer Singh, Erin Beskitt, Justine Busby, Syllissa Duncan, Alexa Wawrzyniak, Brenda Vega, Nick Tokar, Andrew Ohl, Jesse Young, Jeffrey Mellott

Williams Honors College, Honors Research Projects

The inferior colliculus is a nucleus in the auditory midbrain that plays an important role in sound and speech processing through how it encodes temporal precision. Temporal precision depends on the balance of inhibition and excitation within the IC. This balance degrades during aging. Age-related changes in synapses have been described in the lemniscal IC as a contributing factor for this imbalance. However, it is unknown if aging affects synapses throughout the non-lemniscal IC in a similar manner. We sought to determine this by examining the dorsal cortex of the IC. The ICd is a non-lemniscal nucleus that is well …

Reflective Observations Of Instructional Approaches In Job Coaching: A Personal Perspective On Student-Centered Strategies For Students With Disabilities, Cailey R. Piekarski

Williams Honors College, Honors Research Projects

This project is a reflective case study exploring my personal experiences as a job coach for students with disabilities at Total Education Solutions. The research focuses on my own observations, interpretations, and emotional responses while alternating between student-centered and teacher-directed instructional approaches during workforce readiness sessions. By journaling daily, I will analyze how I perceive student engagement, task completion, and session flow under different coaching styles. The consistent student group, task structure, and session format will allow for focused, qualitative reflection without collecting any student-specific data. The study aims to deepen my understanding of instructional decision-making in real-world coaching settings …

Restoring The Wild East: Predicting Public Support For Cougar And Red Wolf Reintroduction In The Eastern United States, Benjamin Ghasemi, Jeremy T. Bruskotter, John A. Vucetich, L. Mark Elbroch, Robyn S. Wilson, Neil H. Carter, Axel Moehrenschlager, Shelby Perry, Joseph W. Hinton

Michigan Tech Publications

Restoring large carnivores to human-dominated landscapes remains ecologically and socially contentious, though reintroduction may offer important benefits where coexistence is possible. Yet, efforts to reintroduce cougars (Puma concolor) and red wolves (Canis rufus) in the Eastern U.S. face major challenges, largely due to human-caused mortality and opposition. We employed the hazard acceptance model and structural equation modeling to investigate the socio-psychological drivers of public support for reintroduction. Survey data were collected from residents of the Eastern U.S. for cougars (n = 2665) and red wolves (n = 3825). For both species, support was positively associated with perceived personal and societal …

Equity And Justice In Water Pricing And The Effects On Water Distribution System Management, Brian Barkdoll

Michigan Tech Publications

Equity regarding access to potable water is paramount. Municipal Water Distribution Systems supply potable water to users and are essential to public health. To find the optimal price of water to maximize utility revenue and allow changes to the system components for capital and maintenance expenditures, network modeling was performed for 15 real MDWSs. A new power-law price-usage elasticity curve, entitled the Power Law Elasticity Function (PLEF), was used that allowed for various users, both high- and low-income, and a non-discretionary level of usage. It was found that: (1) the maximum profit was obtained when the price was approximately 0.8 …

The Five Tyrants: Breaking Free From The Forces That Control Us., Trevor A. O'Reggio

All Books

No abstract provided.

Mtl_Tx: A Multi-Task Transformer Model For Improved Radiation Time-Series Estimation, Hongfang Zhang, Adam Stavola, Hal Ferguson, Bence Budavari, Hongyi Wu, Chiman Kwan, Jiang Li

Electrical & Computer Engineering Faculty Publications

Controlling radiation doses at potential radioactive facilities is critical to ensuring the safety of both personnel and the public. At the Thomas Jefferson National Accelerator Facility (JLab), multiple sensors are deployed around the three experimental halls to monitor key parameters, including single-beam current, energy levels, current leakage, and radiation values during accelerator operations. In this study, we developed a Multi-task Transformer model, MTL_TX, to accurately estimate radiation doses at sensor locations based on historical data, with the aim of enhancing safety in accelerator facilities and surrounding public areas. To improve estimation accuracy, we integrated two innovative components into the proposed …

Photobiomodulation Mitigates The Inhibitory Effects Of Pirfenidone On Cancer-Associated Fibroblasts And Their Pro-Tumorigenic Properties: A Cause For Concern, Nima Rastegar-Pouyani, Alireza Nasirpour, Fatemeh Javani Jouni, Hossein Vazini, Ahmad Moshaii

Electrical & Computer Engineering Faculty Publications

Cancer-associated fibroblasts (CAFs) within the tumor microenvironment highly contribute to cancer progression and poor prognosis. Recent findings introduce pirfenidone, a medication for pulmonary fibrosis, as a promising repurposed candidate for inhibiting CAFs. Moreover, photobiomodulation (PBM), or low-level laser therapy, has surfaced as a potential modality against cancer; however, its impact on CAFs is not thoroughly comprehended. The present study scrutinized the effects of PBM, pirfenidone, and PBM+pirfenidone on CAFs, and their consequent impact on cancer cells using the CAF-conditioned media. After treating CAFs with PBM at wavelengths 660 and 980 nm with/without PFD and then culturing cancer cells in the …

Digital Twin Technologies For Battery Systems: Advancements, Applications, And Future Directions, Seyed Saeed Madani, Yasmin Shabeer, Michael Fowler, Satyam Panchal, Carlos Ziebert, Hicham Chaoui, François Allard

Electrical & Computer Engineering Faculty Publications

The relationships among deep learning, edge computing, artificial intelligence (AI), and the most recent advancements in digital twin (DT) technology for battery energy storage systems are discussed in this paper. The study highlights the need for improved cloud-edge coordination, AI model development, and stronger cybersecurity features by demonstrating real-world applications of digital twin technology in electric vehicles (EVs), aircraft, and grid storage. It also described DT-based structures for fault detection, real-time monitoring, and optimization through standardization and battery management system (BMS) fusion. Because DT-based solutions for distributed energy resources (DERs) offer improved energy management systems, various studies have been conducted …

Qubit Lattice Algorithm Simulations Of The Scattering Of A Bounded Two Dimensional Electromagnetic Pulse From The Infinite Planar Dielectric Interface, Min Soe, George Vahala, Linda Vahala, Efstratios Koukoutsis, Abhay K. Ram, Kyriakos Hizanidis

Electrical & Computer Engineering Faculty Publications

Qubit lattice algorithm (QLA) simulations are performed for a two-dimensional spatially bounded pulse propagating onto a plane interface between two dielectric slabs. QLA is an initial value scheme that consists of a sequence of unitary collision and streaming operators, with appropriate potential operators, that recover Maxwell equations in inhomogeneous dielectric media to the second order in the lattice discreteness. For the case of total internal reflection, there is transient energy transfer into the second medium due to the evanescent fields as the Poynting unit vector of the pulse is rotated from its incident to reflected direction. Because of the finite …

Recent Insight And Perspective Of Marine-Inspired Biopolymers For Wound Healing Applications - A Review, Muhammad Umar Aslam Khan, Saiqa Yousaf, Abdalla Abdal-Hay, Mohd Faizal Bin Abdullah, Sahar Madani, Muhammad Shahzad Zafar, Goran M. Stojanović, Lobat Tayebi

Electrical & Computer Engineering Faculty Publications

There is an increasing necessity for advanced, sustainable, and biocompatible materials for wound healing as therapeutic and diagnostic products. Marine environments, characterized by high biodiversity, offer an underutilized source of natural resources with enormous potential for creating novel materials for dressings. This review highlights the revolutionary nature of polymeric biomaterials of marine origin, with a focus on polysaccharides, like alginate, chitosan, and carrageenan; proteins, such as collagen and gelatin. These biopolymers are outstanding in their physicochemical properties, such as biodegradability, bioactivity, and modifiable mechanical strength, which enable their use in wound-healing systems. Besides, these biomaterials may be easily chemically and …

Multimodal Machine Learning For Alzheimer's Disease Classification Using Adni Biomarker Fusion, Hesameddin Mostaghimi, Hamid R. Okhravi, Bahar Niknejad, Daniel A. Cohen, Michel A. Audette, Alzheimer's Disease Neuroimaging Initiative

Electrical & Computer Engineering Faculty Publications

Despite ongoing advances, accurate diagnosis of Alzheimer’s disease (AD) remains challenging due to its multifactorial nature, comorbidities, and clinical heterogeneity. Accordingly, approaches that combine multimodal data may improve AD classification by integrating complementary information. To investigate this, we evaluated classification performance using a preprocessed ADNI-3 dataset comprising a shared set of clinical/cognitive features along with four imaging modality-based cohorts: trimodal (MRI + amyloid PET + tau PET), MRI + amyloid PET, MRI + tau PET, and MRI-only. We trained a range of supervised machine learning (ML) and deep learning (DL) classifiers using stratified five-fold cross-validation and evaluated performance using accuracy, …

Pin-Plane Electrical Discharge Driven By A Mosfet Dc Current Source, Myles Perry, Sidmar Holoman, Daniel Wozniak, Shirshak Kumar Dhali

Electrical & Computer Engineering Faculty Publications

The generation of atmospheric pressure nonequilibrium plasma using electrical discharges is an active area of research due to its significance in a wide spectrum of applications including medicine, combustion, and manufacturing. In our attempt to create a helium plasma jet in a pin-plane discharge with a constant current source, we observed self-pulsating behavior. We present the results of the electrical, optical, and spectroscopic measurements carried out to characterize the discharge. The duration of the discharge is a few tens of nanoseconds, and the repetition rate is in the few tens of kHz. The effect of the gap distance and gas …

An Explainable Cs-Mitigation Triangular (Ecsmt) Framework To Secure Graph Neural Networks, Sabah Ettahri, Sergio Pallas Enguita, Chung-Hao Chen, Wen-Chao Yang

Electrical & Computer Engineering Faculty Publications

This research addresses cyber risk by defending against backdoor attacks on Graph Neural Networks (GNNs). We propose the Explainable Complex System-Mitigation Triangular (ECSMT) Framework, which integrates Robust Training, Graph Regularization, and Data Sanitization into a lightweight, hardware-efficient defense layer. To evaluate structural generalizability, we conducted empirical evaluations across three distinct benchmark domains (AIDS, MUTAG, and PROTEINS) using a Graph Isomorphism Network (GIN) backbone. Under a baseline 5% backdoor subgraph trigger injection ratio, ECSMT achieves excellent utility retention, securing a Clean Accuracy (CA) of 97.33% (±0.62%) while reducing the Attack Success Rate (ASR) from 97.00% down to 69.45% on the primary …

Generalized Inverter Fault Detection Using Normalized Current Features And A Lightweight Bilstm Network, Mohammad Zamani Khaneghah, Mohamad Alzayed, Hicham Chaoui

Electrical & Computer Engineering Faculty Publications

Fault detection and diagnosis of three-phase inverter-fed motor drives is essential for ensuring system reliability, safety, and continuous operation in applications such as electric vehicles and industrial automation. This paper proposes a data-driven fault detection framework based on normalized current features and a lightweight bidirectional long short-term memory (BiLSTM) network which can be generalized to different motor power rating in the same controller system. A compact set of six time-domain features, consisting of the mean and root-mean-square (RMS) values of the phase currents, is extracted and normalized with respect to the average RMS value. This normalization effectively removes dependency on …

Dynamic Direct Voltage Control Under Maximum Torque Per Ampere For Interior Pmsms, Mohamad Alzayed, Hicham Chaoui, Alaref Elhaj

Electrical & Computer Engineering Faculty Publications

A novel method for controlling the speed of interior permanent magnet synchronous motors (IPMSMs), known as the current-sensing-based dynamic direct voltage control method under the maximum torque per ampere (MTPA) concept, is introduced. This technique achieves precise tracking of machine velocity by determining the optimal combination of voltage amplitude and angle for each specific motor velocity and current/load condition. Unlike previous studies, this approach takes into account the transient model of the machine, resulting in improved accuracy during dynamic operating conditions compared with existing methods in the literature. Moreover, a comparative analysis is conducted involving different direct voltage MTPA speed …

Fault Tolerance Of Accelerated Asynchronous Fixed-Point Iterations On Flexible Computing Infrastructure, Evan Coleman, Masha Sosonkina

Electrical & Computer Engineering Faculty Publications

Asynchronous iterative methods tolerate straggling processors by allowing workers to proceed with stale data, but at a cost: the iterates become inconsistent, potentially degrading convergence. We investigate whether convergence accelerators such as Anderson acceleration compensate for this degradation. We experimentally study three fixed-point iterations: the Jacobi method for sparse linear systems, value iteration for the Bellman equation, and the Hartree–Fock self-consistent field (SCF) iteration. The experiments are conducted using a high-performance execution framework, Ray, which abstracts the complexity of distributed systems and enables code parallelization and fault injection with minimal changes.

We establish two main results. First, straggler tolerance is …