Digital Commons Network^™

Feasibility Of Treatment Planning With Hyperarc Stereotactic Radiosurgery Methods For Ocular Tumors, Chase Cochran, Shane Mccarthy, William St. Clair, Damodar Pokhrel

Radiation Medicine Faculty Publications

Purpose/objectives

Currently, ocular disease is primarily managed with COMS plaque brachytherapy. Various stereotactic radiosurgery (SRS) platforms have also been employed, yet widespread access remains a challenge. Herein, we demonstrate the feasibility of using the HyperArc SRS system to provide an additional platform for the treatment of ocular malignancies.

Materials/methods

Twenty previously treated COMS patients with ocular melanoma were selected for a retrospective HyperArc SRS planning study. The average gross tumor volume (GTV) derived from MRI was 1.19 ± 0.60 cc. Planning target volumes (PTV) were generated from a 2 mm expansion of the GTVs. HyperArc plans were created for a …

Evaluating Experiential Learning In Undergraduate Agricultural Education: A Content Analysis Of Course Syllabi From A College Of Agriculture, Tyler Newberry

Theses and Dissertations--Community & Leadership Development

This study evaluated the presence and depth of experiential learning within undergraduate course syllabi from the Martin-Gatton College of Agriculture, Food, and Environment. Through a content analysis of 41 syllabi across five academic majors, the study examined how course objectives and assignments aligned with Kolb’s Experiential learning cycle (1984), Webb’s depth of knowledge (1997), and Joplin’s Mini to maxi Scale (1981). A structured coding instrument was used to quantify the frequency of learning elements across these three frameworks. The findings revealed that Abstract Conceptualization and Reflective Observation were the most common stages in both objectives and assignments, while Concrete Experience …

Exploiting Artificial Intelligence And Optimization For Smart Agriculture, Jackson K. Butcher

Theses and Dissertations--Computer Science

Dynamic integration of Cyber-Physical Systems (CPS) and Artificial Intelligence (AI) has become a vital component for unlocking the potential of smart agriculture. Currently, limitations such as limited computational resources, poor network connectivity, and rigid treatment strategies stifle optimal agricultural outcomes. This creates a challenge of leveraging the capabilities of modern artificial intelligence to combat the natural and artificial constraints of the smart agriculture environment. The primary contribution of this thesis is the development of frameworks to alleviate the overhead data and computational demand for AI within smart agriculture settings. The first framework, iCrop+, utilizes TinyML and LoRa to guarantee high-precision …

Biomedical Relation Extraction In The Era Of (Large) Language Models, Yuhang Jiang

Theses and Dissertations--Computer Science

Biomedical relation extraction is a key task in information extraction supporting downstream applications such as knowledge discovery, information retrieval, and question answering. As such, improvements in relation extraction (RE) are expected to have major implications for other information needs in biomedicine. In this dis- sertation, we pursue biomedical relation extraction in several advanced settings with recent advances in large language models (LLMs) and retrieval augmented generation (RAG). First, we address an important slot filling task on social media that arose during the Covid-19 pandemic, using the idea of continuous prompts with encoder models. Next, we handle a tricky dynamic n-ary …

Seasonal Variation Of The Stream’S Autogenic Sediment Transport Regime, Melissa Beckman

Theses and Dissertations--Civil Engineering

This thesis investigates the autogenic sediment transport regime in a low-gradient stream system in the inner bluegrass region of central Kentucky, USA The seasonality of sediment transport seasonality was not well addressed in prior research for baseflow and low flow periods, to our knowledge, due to the assumption that low flows do not account for considerable fluid transport capacity to move sediment. The hypothesis is that during the autogenic regime the sediment transport in the low-gradient system is being driven by geophysical, biogeochemical, and biological processes. We hypothesize that crayfish are one mechanical driver of sediment transport during these periods. …

Enhanced Separation Performance For Fractionally Liberated Materials Using The Hydrofloat™ Process Technology, Yucel Ozsoy

Theses and Dissertations--Mining Engineering

The advent of HydroFloat™ technology, developed by Eriez Manufacturing, marks a significant milestone in the evolution of the mineral processing industry, particularly for the coarse particle flotation by shifting the limits, well-known as the “Elephant Curve.” As the industry strives to process lower-grade ores with higher tonnages for financial reasons, the significance of processing coarse particles through HydroFloat™ technology becomes increasingly critical.

This approach offers substantial benefits by potentially reducing energy consumption within grinding circuits, making it a key solution in enhancing efficiency and cost-effectiveness. This study presents a comprehensive review of the existing literature, laying a solid foundation by …

Implications Of Nutrient Fate And Transport Following Nanopesticide Applications In Agricultural Field Plots In Central Kentucky, William Rud, Manuel D. Montaño, Daniel M. Miller, Wayne T. Sanderson, Carmen Agouridis, Brianna F. Benner, Tiffany L. Messer

Biosystems and Agricultural Engineering Faculty Publications

The potential benefits of nanopesticide use over standard pesticides include more precise application at reduced application rates, lower premature degradation, and decreased direct impacts to target organisms. However, field scale investigations of the fate and transport of common nanopesticides such as copper (II) hydroxide and imidacloprid combinations, remain limited. A field study evaluating nano-scale copper (II) hydroxide (Cu), standard imidacloprid (I), nanoimidicloprid (NI), and nano-scale copper (II) hydroxide and imidacloprid (CuNI) compared to control (C) plots was conducted using thirty 14.6 m² field plots to determine the impacts of nanopesticide applications on nutrient cycling and quantify the persistence of …

Effects Of Ethanol And Neuropeptide-Y Signaling On Neurogenic Markers In The Hippocampus, Cassidy Taylor Leibold

Theses and Dissertations--Psychology

According to the National Survey of Drug Use and Health in 2023, 28.9 million people over the age of 12 in the United States meet criteria for an Alcohol Use Disorder (AUD). AUDs result in a range of both social and behavioral consequences, caused by damage to the central nervous system. The hippocampus is a brain structure that undergoes cellular changes in the presence of ethanol, thus causing structural and functional damage. Impairments in neurogenesis, or the production of new neurons, due to ethanol exposure result in decreased plasticity and consequently memory impairments. The mechanisms of these ethanol-induced decreases in …

Design And Comparative Analysis Of Electric Motors With “Flux-Switching” Effect Having Reluctance Rotors And Pm Or Dc Stator Excitation, Oluwaseun A. Badewa, Ali Mohammadi, Donovin D. Lewis, Somasundaram Essakiappan, Madhav Manjrekar, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

This paper introduces innovative designs for synchronous electric motors with phase coils and permanent magnets (PM) or DC-excitation coils embedded in the stator. Alongside concentrated phase coils in dedicated slots, the spoke-type PMs offer high flux intensification, while the option for DC-excitation coils eliminates demagnetization risks. Since the rotor has no active electromagnetic components, the machine can achieve high-speed operation while enabling advanced cooling systems focused solely on the stator. A special implementation with a “wave” or “serpentine” DC-excitation winding which has the potential for reduced losses depending on the motor aspect ratio is presented. The operation, control, and polarity …

Harmonic And Non-Linear Effects On The Parameters And Performance Of A Vernier Machine With Flux Concentrating Spoke Rotor, Ali Mohammadi, Yaser Chulaee, Aaron M. Cramer, Ion G. Boldea, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

This paper presents a systematic study on the MAGNUS machine, which is an innovative dual-stator axial flux permanent magnet vernier machine (AFPMVM). The MAGNUS machine features a novel single-wound dual-stator design with minimal slots and an exceptionally high-polarity spoke-type permanent magnet rotor, which enables a very high flux concentration ratio. The operating principle of vernier machines is derived, showing the possible slot-pole combinations. Inductance components are introduced, and multiple methods are employed to determine the direct and quadrature axis inductances, revealing that despite its spoke-type rotor, due to a high harmonic content and a high differential leakage inductance, the MAGNUS …

Serious Bacterial Infections And Hepatitis C Virus Among People Who Inject Drugs, Thomas J. Stopka, Robin M. Nance, L. Sarah Mixson, Hunter Spencer, Judith I. Tsui, Judith M. Leahy, Mai T. Pho, Jean Dejace, Judith Feinberg, April M. Young, Wei Teng Yang, Amelia Baltes, Eric Romo, Randall T. Brown, Kerry Nolte, William C. Miller, William A. Zule, Wiley D. Jenkins, Joseph A. Delaney, Peter D. Friedmann

Epidemiology and Environmental Health Faculty Publications

Limited research has examined the possible synergistic interrelationships between serious bacterial infections (SBIs) of the heart (i.e., endocarditis), bone, spine, brain, or joints (e.g., osteomylelitis) and hepatitis C virus (HCV) infections. We examined whether syndemic interactions existed between SBI, HCV, and substance-use-related factors in rural communities, hypothesizing that injection-mediated risks elevated the likelihood for both SBIs and HCV infections, which could be exacerbated by synergistic biological–biological or biological and social interactions. We calculated the prevalence ratios (PRs) of past-year SBI associated with each risk factor in separate models. Effect modification among significant risk factors was assessed using multiplicative interaction. Among …

Fairehr, Karen S. Galea, Finlay Brooker, Shahzad Rashid, Michael Bader, Yu Ait Bamai, Jos Bessems, Embialle Mengistie Beyene, Alison Connolly, Carla Costa, Pravina Deligannu, Radu Corneliu Duca, Kaoutar Chbihi, Kasahun Eba, Manosij Ghosh, Melissa Gonzales, Stuart Harrad, Erin N. Haynes, Nancy B. Hopf, Po Chin Huang, Kate Jones, Konstantinos M. Kasiotis, Ming Kei Chung, Jihyon Kil, Holger Koch, Jung Hwan Kwon, Elizabeth Ziying Lin, Henriqueta Louro, Kyriaki Machera

Epidemiology and Environmental Health Faculty Publications

The FAIREHR (Findable, Accessible, Interoperable, Reusable Environmental and Health Registry) platform is a state-of-the-art online registry for prospective harmonization of human biomonitoring (HBM). It was developed by the HBM working group of the Europe Regional Chapter of the International Society of Exposure Science (ISES Europe) and is supported by the HBM Global Network. FAIREHR is designed to harmonize HBM metadata and support the implementation of the FAIR (Findable, Accessible, Interoperable and Reusable) Guiding Principles throughout HBM studies or programs. The registry enables preregistration of HBM by capturing key metadata on study design, metadata management, and planned methods before participant recruitment. …

Open Access And Citation Impact: Modality, Funding, Publisher, And Disciplinary Trends At The University Of Kentucky, Ben Rawlins, Mitchell Scott

Library Faculty and Staff Publications

As publishers and libraries attempt to align business models and collection strategies to an ever-increasing open access (OA) publishing landscape, both have found that the message of open access citation advantage (OACA) resonates with current and prospective authors. Despite its widespread promotion and acceptance, however, OACA is not universal and is subject to ongoing debate. This quantitative study contributes to the OACA debate and research with a longitudinal focus on citation data from journal articles published 2018-2021 by University of Kentucky affiliated authors. The article and citation data for University of Kentucky affiliated authors are supplemented with University of Kentucky …

Framing Large Language Models: Teaching Foundational Concepts Of Generative Ai And Information Literacy For Critical Student Engagement, Isaac Wink, Jennifer Hootman

Library Faculty and Staff Publications

This chapter situates the emerging scholarly conversation around AI literacy within the established Association for College and Research Libraries (ACRL) Framework for Information Literacy for Higher Education. We apply three frames in particular: 1) Authority Is Constructed and Contextual, 2) Information Creation as a Process, and 3) Research as Inquiry, considering competencies relevant to students encountering generative AI applications in educational contexts and addressing ways that both students and instructors may seek to engage productively with such tools.

This chapter primarily focuses on tools such as ChatGPT that are built atop large language models (LLMs)—systems trained on massive text corpora—rather …

Chronic Sleep Fragmentation Differentially Affects Alzheimer’S Disease Pathology In Male And Female AppSaa Knock-In Mice, Margaret R. Hawkins, Haleigh R. Whitlock, Carrie E. Johnson, Teresa Macheda, Ma Kayla F. Cox, Madison G. Lapid, Kelly N. Roberts, Heather M. Hash, Esther G. Drinkard, Sridhar Sunderam, Bruce F. O’Hara, Michael P. Murphy, Marilyn J. Duncan, Adam D. Bachstetter

Biology Faculty Publications

Introduction: Sleep fragmentation often precedes Alzheimer’s disease (AD) diagnosis and represents a potential modifiable risk factor, especially among women who have higher prevalence of both sleep disorders and AD. Methods: This study investigated how chronic sleep fragmentation affects neuroinflammation and amyloid-beta (Aβ) accumulation in male and female APP^SAA knock-in mice, a physiologically relevant AD model expressing APP at normal levels. APP^SAA mice of both sexes (N=8/sex/strain, 8 months old) underwent either 5 weeks of chronic sleep fragmentation administered during the light phase using an automated sweeper system or undisturbed sleep. Sleep-wake patterns and circadian rhythms were monitored using …

“I Just Don’T Find It Interesting”, Jennifer L. Osterhage, Utku Caybas, Jaeyun Han, Ellen L. Usher

Biology Faculty Publications

Situated expectancy-value theory (SEVT) posits that students’ expectancies for success, task values, and perceived costs affect their performance in STEM courses. Less is known about how students’ majors and timing of course completion affect motivational processes. Using the SEVT framework, this study utilised a convergent mixed methods approach to investigate academic motivation among students (N = 646) who enrolled in introductory biology at a large public university. Survey data revealed that students majoring in Biology were more motivated than students from other majors, although academic major was not directly associated with final grade. Upper-level students reported significantly lower competence-related beliefs …

A Large Electroencephalogram Database Of Freewill Reaching And Grasping Tasks For Brain Machine Interfaces, Bhoj Raj Thapa, John Boggess, Jihye Bae

Electrical and Computer Engineering Faculty Publications

Brain machine interfaces (BMIs) offer great potential to improve the quality of life for individuals with neurological disorders or severe motor impairments. Among various neural recording modalities, electroencephalogram (EEG) is particularly favorable for BMIs due to its noninvasive nature, portability, and high temporal resolution. Existing EEG datasets for BMIs are often limited to experimental settings that fail to address subjects’ freewill in decision making. We present a large EEG dataset, containing a total of 6808 trials, recorded from 23 healthy young adults (eight females and 15 males with an age range from 18 to 24 years) while performing reaching and …

Axial Flux Permanent Magnet Generators For Direct-Drive Wind Turbines - Review And Optimal Design Studies, Matin Vatani, Ali Mohammadi, Donovin D. Lewis, John F. Eastham, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

This paper presents a comprehensive analysis of the feasibility, cost, and electromagnetic performance of five distinct types of axial flux permanent magnet (AFPM) generators designed for direct-drive wind turbines. The generator configurations investigated include a single-sided AFPM generator with a surface-mounted PM rotor (AFPMG), a double-sided AFPM generator featuring PMs on the stator and a reluctance rotor (AFPMG-RR), a coreless stator AFPM generator with surface PMs (CAFPMG-SPM), and a coreless stator AFPM generator with a Halbach PM array rotor (CAFPMG-Hal). Each generator’s operating principles and configurations are thoroughly explained and compared. Large-scale multi-objective design optimizations were conducted on each type, …

Review Of Coreless Axial Flux Permanent Magnet Machines With Applications Including Electric Aircraft Propulsion, Matin Vatani, Donovin D. Lewis, John F. Eastham, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

Axial flux permanent magnet (AFPM) machines with entirely or stator coreless configurations offer significant advantages, including low rotational losses, the absence of cogging torque, minimal torque ripple, and the potential for high specific power density. Advances in permanent magnet (PM) technology and cooling techniques have enabled fully coreless AFPM machines to achieve high magnetic and current loadings without core saturation, making them suitable for high performance applications like electric aircraft propulsion. This paper reviews recent advancements in coreless AFPM machines, tracing their historical and chronological development. Various topologies, including single- and double-sided and multi-disk designs, are examined to identify the …

Speed Variation Based Power Regulation Concept For Dynamic Wireless Charging, Donovin D. Lewis, Sudarshan T. Harave, Omer Onar, Mostak Mohammad, Veda Prakash Galigekere, Gui-Jia Su, Dan Ionel

Electrical and Computer Engineering Graduate Research

On-road wireless charging of electric vehicles (EVs) in-motion could potentially reduce range anxiety or battery size with wide-spread deployment. The planning and implementation of such systems are greatly complicated due to their susceptibility to load variation inherent to traffic flow. This paper proposes a method for derisking the potential for traffic slowdowns by compensating for reduced vehicle speed and investigates how implementation may affect system performance. A load modeling case study is presented at 200kW for a mile of high-speed roadway employing speed-based power regulation with results indicating average power usage and maximum car hosting capability can be reduced by …

Fault-Tolerant High-Power Two-Phase Coreless Afpm Motor-Drive System Concept, Yaser Chulaee, Ali Mohammadi, Matin Vatani, Aaron M. Cramer, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

This paper proposes a fault-tolerant, high-power two-phase coreless axial flux permanent magnet (AFPM) motor drive system concept. Initially, the performance of a two-phase variant of the coreless AFPM machine is compared with that of its three-phase counterpart using both 3D finite element analysis (FEA) and experiments. Thanks to the intrinsic unique features of coreless AFPM machines, the analysis of the results demonstrates that the two-phase configuration has comparable power density (kW/kg) and efficiency. In terms of fault tolerance, the two-phase configuration exhibits superior performance, as the mutual inductance between phases is zero, resulting in an electric machine with magnetically decoupled …

Two-Level Multi-Objective Design Optimization Including Torque Ripple Minimization For Stator Excited Synchronous And Flux Switching Machines, Ali Mohammadi, Oluwaseun A. Badewa, Yaser Chulaee, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

Electric machine performance can be enhanced through torque ripple mitigation, which reduces mechanical vibrations and improves system stability and operation. This paper proposes a novel two-level optimization method for synchronous flux-switching and hybrid excitation machines, featuring an innovative multi-point spline shaping approach for torque ripple minimization. The study employs experimentally validated models based on a prototype with a similar topology. The optimization process is implemented on two distinct designs: a 20-pole inner rotor PM-excited stator machine and a 28-pole outer rotor DC-excited stator machine. Analysis results demonstrate that the proposed innovative method significantly reduces torque ripple in both configurations. Force …

Electromagnetic Design Characterization Of Synchronous Machines With Flux Switching Effect Employing Reluctance Rotors And Stators With Pms And Ac Concentrated Coils, Oluwaseun A. Badewa, Ali Mohammadi, Donovin D. Lewis, Somasundaram Essakiappan, Madhav Manjrekar, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

This paper introduces an innovative design for a synchronous electric motor that has phase coils and permanent magnets (PM) embedded in the stator. The electric machine contains both concentrated winded phase coils in dedicated slots and spoke-type permanent magnets solely in the stator. The spoke-type magnet arrangement achieves a high flux intensity even with low remanence non-rare earth permanent magnets. As the rotor has no active electromagnetic components, the risk for demagnetization is reduced and advanced cooling applied to the stator can enable high-speed operation. The principle of operation and polarity of the motor are investigated with a unique approach …

Cybersecurity Training As Risk Communication: A Theory-Informed Model Of Employee Learning And Behavior Change, Daniel Chaney

Theses and Dissertations--Communication

Cybersecurity threats like phishing remain a persistent and costly challenge for organizations. Despite widespread corporate cybersecurity training (CCT) programs, many fail to produce lasting behavior change. This dissertation introduces the Training Knowledge Flow (TKF) Model to assess why such efforts often fall short. Grounded in communication theory, risk messaging, and adult learning principles, the TKF Model conceptualizes cybersecurity training as a staged process of learning, application, and behavioral adaptation. The model includes three phases: (1) Employee as Learner, focusing on message clarity and cognitive engagement; (2) Employee as Practitioner, assessing workplace transfer and training relevance; and (3) Employee …

Crystal Structures And Low-Affinity Complex Formation Of Halogenase Ctcp And Fad Reductase Ctcq From The Chlortetracycline Biosynthetic Pathway, Caixia Hou, Sylvie Garneau-Tsodikova, Oleg V. Tsodikov

Pharmaceutical Sciences Faculty Publications

Enzymatic halogenation in natural products has been intensely investigated due to its potential utility as a tool to improve pharmacological and pharmaceutical properties of drug leads. Chlortetracycline (CTC), the first tetracycline (TC) antibiotic discovered nearly eight decades ago, contains a chlorine group. This chlorine is installed enzymatically by the flavin adenine dinucleotide (FAD)-dependent halogenase CtcP. CtcP and the FAD reductase CtcQ, which is also encoded in the CTC biosynthetic gene cluster, function as a two-component system. Structural information on CtcP and CtcQ has been lacking. In this study, we determined crystal structures of CtcP from Kitasatospora aureofaciens in a complex …

A Cocaine Hydrolase Engineered From Human Butyrylcholinesterase As A Medical Countermeasure For Aldicarb Poisoning, Johnathan E. Lesaint, Nellore Bhanu Chandar, Annet Kyomuhangi, Huimei Wei, Fang Zheng, Chang-Guo Zhan

Pharmaceutical Sciences Faculty Publications

Aldicarb is known to be the most toxic carbamate pesticide and could be used easily by terrorists to cause a mass casualty incident. It is highly desired to discover a medical countermeasure for aldicarb poisoning. Based on structural insights from molecular modeling and in vitro experimental validation, CocH3-Fc(M3), a potent cocaine hydrolase engineered from human butyrylcholinesterase (BChE), has a ~4-fold improved binding affinity with aldicarb compared to wild-type human acetylcholinesterase (AChE) and BChE and a 9-28-fold improved bimolecular rate constant for the carbamylation with aldicarb compared to AChE. CocH3-Fc(M3) also has significant catalytic activity for aldicarb hydrolysis and, hence, is …

Development Of A Ghrelin Deacylase To Attenuate Drug Reward And Associated Effects Of Methamphetamine, Madeline J. Stewart, Huimei Wei, Nellore Bhanu Chandar, Fang Zheng, Chang-Guo Zhan

Pharmaceutical Sciences Faculty Publications

All addictive substances directly or indirectly interact with the dopamine reward system to alter the brain’s dopamine receptor activities. It is essential for a truly effective addiction medication to attenuate substance reward and normalize the brain’s physiological functions. Conventional pharmacological intervention approaches to the treatment of substance addiction usually aim to develop and deliver a potential therapeutic agent to the brain to directly block or decrease actions of the substance or its therapeutic target in the brain. However, it is a grand challenge to attenuate the substance reward without affecting the normal physiological functions of brain receptors or transporters. Here, …

Fluorescence-Guided Resection Of Gl261 Red-Fluc And Trp-Mcherry-Fluc Mouse Glioblastoma Tumors, Louis T. Rodgers, Bryan J. Maloney, Anika M. S. Hartz, Björn Bauer

Pharmaceutical Sciences Faculty Publications

Background: Most preclinical studies on glioblastoma (GBM) fail to provide translational utility in the clinic. Fluorescence-guided surgery using 5-aminolevulinic acid (5-ALA) improves tumor resection, disease prognosis, and, thus, patient outcomes. Given the critical role of surgery in managing recurrent GBM, it is essential to incorporate surgical elements into preclinical models to accurately reflect clinical scenarios and enhance translational success. However, existing protocols for 5-ALA-guided resection in preclinical models are limited and often lack clinical relevance.

Methods: To address this gap, we developed a novel protocol for the 5-ALA-guided resection in two mouse GBM models: TRP-mCherry-FLuc and GL261 Red-FLuc.

Results: The …

Functional And Structural Studies On The Esperamicin Thioesterase And Progress Toward Understanding Enediyne Core Biosynthesis, Erome D. Hankore, Mitchell D. Miller, Abigael J. Kosgei, Weijun Xu, Kemin Tan, Michael Endres, Minakshi Bhardwaj, Grazyna Joachimiak, Andrzej Joachimiak, George N. Phillips Jr., Jon S. Thorson, Steven G. Van Lanen

Pharmaceutical Sciences Faculty Publications

Enediynes are among the most potent antitumor and antibacterial natural products. Studies on their biosynthetic pathways have identified a shared, linear polyene precursor generated from an iterative type I polyketide synthase (PKSE) as the source of the enediyne warhead. A key step is the release of this polyene from the PKSE by a discrete thioesterase (TE). Here, we used X-ray crystallography, site-directed mutagenesis, and heterologous coexpression of PKSEs and TEs to elucidate how enediyne TEs mediate the production of the polyene. We solved the structure of wild-type EspE7 from esperamicin producer Actinomodura verrucosospora. The substrate binding pocket was also …

Development And Clinical Validation Of The Sensor-E Exoskeleton For Objective Hand Function Assessment In Stroke Rehabilitation, Madison Bates

Theses and Dissertations--Biomedical Engineering

Hand function is often impaired following neurological trauma or in conditions such as stroke, limiting independence and the ability to perform activities of daily living (ADLs). Current clinical assessments rely heavily on subjective rating scales that lack the resolution to detect subtle changes in motor performance, which can limit access to rehabilitation. Recent advances in wearable technologies highlight the potential for hand-worn devices to provide objective, real-time measures of hand function. However, most systems focus solely on kinematics and rarely capture both movement and exerted force. Moreover, integration into rehabilitation frameworks and brain-computer interface (BCI) protocols remains limited. To address …