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2024

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Tcad Structure Input File Generation Using Large Language Model, Le Minh Long Nguyen, Albert Lu, Hiu Yung Wong Jan 2024

Tcad Structure Input File Generation Using Large Language Model, Le Minh Long Nguyen, Albert Lu, Hiu Yung Wong

Faculty Research, Scholarly, and Creative Activity

In this paper, we study the possibility of using Large Language Models (LLMs) to create Technology Computer-Aided-Design (TCAD) structure generation input files. LLMs are machine learning models trained on vast amounts of text data from the Web and are designed to understand, generate, and interact with humans through natural languages such as English. However, unlike programming languages with abundant training examples on the Web, TCAD examples are scarce. In this work, by using TCAD Sentaurus Structure Editor (SSE) as an example, 7000 nanowire data are generated to fine-tune open-source models (Llama 2 and 3) to obtain chatbots that can generate …

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Differential Expression Analysis Of Treatment Resistant And Treatment Susceptible Neisseria Gonorrhoeae Paired With Gene Set Enrichment Analysis, Kinzie Bailey Jan 2024

Differential Expression Analysis Of Treatment Resistant And Treatment Susceptible Neisseria Gonorrhoeae Paired With Gene Set Enrichment Analysis, Kinzie Bailey

Theses

Neisseria gonorrhoeae, the bacterium which causes gonorrhea, is a public health threat as recognized by the CDC due to the risk of untreatable gonorrhea due to the high prevalence of resistance to antibiotics in the gonococcal population [1]. Current screening methods for resistance to antibiotics for clinical infections may take up to 2 days to produce results, which could result in delays in treatment, unnecessary follow-up appointments, inappropriate antibiotic prescriptions, and overall poor treatment outcomes [2]. In this study, we utilize RNA sequencing (RNA-seq) to characterize the expression patterns of resistant and susceptible strains of N. gonorrhoeae. Here, we look …

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Machine Learning, Fuzzy Logic And Zero Trust-Based Quishing Prevention Solution For Android Smartphones, Felix William Jan 2024

Machine Learning, Fuzzy Logic And Zero Trust-Based Quishing Prevention Solution For Android Smartphones, Felix William

Theses

QR code phishing, or "quishing," exploits the widespread adoption of QR codes to embed malicious URLs that lead users to phishing sites or initiate malware downloads. Unlike traditional phishing methods, QR phishing is uniquely deceptive, leveraging the inherent trust and convenience associated with QR codes while bypassing standard detection mechanisms. This thesis presents the SEQR scanner, a novel solution tailored to detect and prevent QR phishing attacks, specifically focusing on Android platforms. By integrating multiple detection mechanisms—machine learning prediction, fuzzy logic algorithm, and third-party blacklisting APIs—the solution effectively identifies malicious QR codes with precision. A zero-trust-based mechanism is implemented alongside …

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Machine Learning Framework For Detecting Ldap Injection Attacks, Rahul Nair Jan 2024

Machine Learning Framework For Detecting Ldap Injection Attacks, Rahul Nair

Theses

LDAP injection attacks have posed a growing danger to web application security, utilizing directory service vulnerabilities to obtain unauthorized access or tamper with sensitive information in recent times. In this thesis, a comprehensive method is developed for detecting and preventing LDAP injection attacks by utilizing a role-based access control approach to generate a unique dataset. Various categories and variations of LDAP queries that mimic real attack situations, as well as legitimate benign queries representing typical LDAP operations, are included in the dataset to further classify them based on user roles. Four different machine learning algorithms, including XGBoost, Logistic Regression, Support …

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Florescence, Evan D. Jaccodine Jan 2024

Florescence, Evan D. Jaccodine

Theses

Florescence is a photographic project that provokes conversation between mediums, methods, and attitudes in art and design. Starting as grainy, screened Risograph prints mounted into custom wood frames, the uniformity of mechanical reproduction is distorted by handmade craft elements. The images examine the materiality of making as part of the message they produce; they are both eclectic handmade objects and mass-produced products. These pictures intend to communicate an idea like an advertisement, except the message, meaning, or intention isn’t clear. I am interested in the moment when the viewer comes close enough to the image to see the prints' poor …

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Tracked Gulls Help Identify Potential Zones Of Interaction Between Whales And Shipping Traffic, Megan A. Cimino, Heather Welch, Jarrod A. Santora, David Kroodsma, Elliott L. Hazen, Steven J. Bograd, Pete Warzybok, Jaime Jahncke, Scott A. Shaffer Jan 2024

Tracked Gulls Help Identify Potential Zones Of Interaction Between Whales And Shipping Traffic, Megan A. Cimino, Heather Welch, Jarrod A. Santora, David Kroodsma, Elliott L. Hazen, Steven J. Bograd, Pete Warzybok, Jaime Jahncke, Scott A. Shaffer

Faculty Research, Scholarly, and Creative Activity

Seabird-vessel interactions are often studied through the lens of fisheries bycatch, but seabirds encounter many watercraft types. Western Gulls Larus occidentalis breeding on the Farallon Islands (California, USA) have a foraging domain that encompasses both shipping lanes and productive fishing grounds, resulting in ample opportunities for vessel encounters. Previous research showed that these Western Gulls can serve as ecosystem indicators because their foraging behavior is linked to ocean prey conditions, and because their foraging grounds overlap with that of Humpback Whales Megaptera novaeangliae, which can make prey accessible. Because ship strikes and entanglement in fishing gear are concerns for whales …

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Use Or Not: A Qualitative Study On The User Adoption And Abandonment Of Voice Shopping With Smart Speakers, Jiahe Lan, Yu Chen, Zheng Yan Jan 2024

Use Or Not: A Qualitative Study On The User Adoption And Abandonment Of Voice Shopping With Smart Speakers, Jiahe Lan, Yu Chen, Zheng Yan

Faculty Research, Scholarly, and Creative Activity

The recent advances in smart speakers impel the emergence and prevalence of voice shopping - placing orders on voice assistants. Previous work has studied user acceptance of voice shopping and the factors influencing users' experience of voice shopping. However, despite the growing interest in the use of voice shopping, little is known about the limited usage or abandonment of voice shopping. In this paper, we address this research gap through a qualitative study of 43 users of Tmall Genie, a smart speaker popular in China. We found that participants are willing to make low-involvement purchases via voice shopping. However, after …

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Erratum To: Reconfigurations In Brain Networks Upon Awakening From Slow Wave Sleep: Interventions And Implications In Neural Communication (Network Neuroscience), Cassie J. Hilditch, Kanika Bansal, Ravi Chachad, Lily R. Wong, Nicholas G. Bathurst, Nathan H. Feick, Amanda Santamaria, Nita L. Shattuck, Javier O. Garcia, Erin E. Flynn-Evans Jan 2024

Erratum To: Reconfigurations In Brain Networks Upon Awakening From Slow Wave Sleep: Interventions And Implications In Neural Communication (Network Neuroscience), Cassie J. Hilditch, Kanika Bansal, Ravi Chachad, Lily R. Wong, Nicholas G. Bathurst, Nathan H. Feick, Amanda Santamaria, Nita L. Shattuck, Javier O. Garcia, Erin E. Flynn-Evans

Faculty Research, Scholarly, and Creative Activity

After publication of our paper Reconfigurations in brain networks upon awakening from slow wave sleep: Interventions and implications in neural communication, we noticed an error in our condition labels that required some revision of figures and text and some new interpretations throughout the manuscript. The error was a consequence of the double-blind nature of the original experimentation which contained two interventions: (1) a blue-enriched light intervention, as originally mentioned; and (2) an olfactory odorant condition. In review of previous analyses and presentations of the data, there was a time when non-descriptive labels (e.g., “A”, “B”) were accidentally swapped, indicating the …

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A Comparative Multivariate Analysis Of Var And Deep Learning-Based Models For Forecasting Volatile Time Series Data, Saroj Gopali, Sima Siami-Namini, Faranak Abri, Akbar Siami Namin Jan 2024

A Comparative Multivariate Analysis Of Var And Deep Learning-Based Models For Forecasting Volatile Time Series Data, Saroj Gopali, Sima Siami-Namini, Faranak Abri, Akbar Siami Namin

Faculty Research, Scholarly, and Creative Activity

The existing literature on forecasting time series data is primarily based on univariate analysis and techniques such as Univariate Autoregressive (UAR), Univariate Moving Average (UMA), Simple Exponential Smoothing (SES), deep learning models, and, most notably, univariate Long Short-Term Memory (LSTM) built based on univariate variable where the next lag of time series is leveraged for forecasting the next cycle of data. This paper takes this line of research to the next level by focusing on forecasting time series data based on “multivariate” modeling and analysis. To have a better insight of the performance of various deep learning-based models when multivariate …

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Assessment Of Digital Collaboration Skills, Esperanza Huerta, Ana Lidia Franzoni Velázquez, Scott Jensen Jan 2024

Assessment Of Digital Collaboration Skills, Esperanza Huerta, Ana Lidia Franzoni Velázquez, Scott Jensen

Faculty Research, Scholarly, and Creative Activity

This exploratory study proposes a methodology for assessing digital collaboration skills based on the students' actual behavior. Students' comments using a digital collaboration tool during a one-month long project were manually coded. This methodology is not context specific and can be used across different domains. This assessment contrasts with self-reported measures in which students rate themselves as already possessing collaboration skills. Finally, the study explores the use of generative AI to automatically code student's comments to alleviate the labor-intensive process that coding requires and to enable scalability in coding data.

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Correction To: A Fresh Take: Seasonal Changes In Terrestrial Freshwater Inputs Impact Salt Marsh Hydrology And Vegetation Dynamics (Estuaries And Coasts, (2024), 10.1007/S12237-024-01392-1), Maya S. Montalvo, Emilio Grande, Anna E. Braswell, Ate Visser, Bhavna Arora, Erin C. Seybold, Corianne Tatariw, John C. Haskins, Charlie A. Endris, Fuller Gerbl, Mong Han Huang, Darya Morozov, Margaret A. Zimmer Jan 2024

Correction To: A Fresh Take: Seasonal Changes In Terrestrial Freshwater Inputs Impact Salt Marsh Hydrology And Vegetation Dynamics (Estuaries And Coasts, (2024), 10.1007/S12237-024-01392-1), Maya S. Montalvo, Emilio Grande, Anna E. Braswell, Ate Visser, Bhavna Arora, Erin C. Seybold, Corianne Tatariw, John C. Haskins, Charlie A. Endris, Fuller Gerbl, Mong Han Huang, Darya Morozov, Margaret A. Zimmer

Faculty Research, Scholarly, and Creative Activity

In the original online version of the article the following information was missing from the Funding section: Department of Energy, Small Business Innovation Research Award Number DE-SC0021480. In addition, the following was missing from the Acknowledgements: The authors would like to thank Elkhorn Slough Foundation for providing and facilitating the opportunity to conduct this work at the Cowell Ranch site. Also, the study site noted in the Background section was incorrect. The study was conducted at the Elkhorn Slough on the property of the Elkhorn Slough Foundation. The original article was corrected.

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Cosmogenic Radionuclides In Meteorites From The Otway Massif Blue Ice Area, Antarctica: An Unusual, Well-Preserved H5 Chondrite Strewn Field, Kees C. Welten, Marc W. Caffee, Monika E. Kress, Marlene D. Giscard, A. J.Timothy Jull, Ralph P. Harvey, John Schutt Jan 2024

Cosmogenic Radionuclides In Meteorites From The Otway Massif Blue Ice Area, Antarctica: An Unusual, Well-Preserved H5 Chondrite Strewn Field, Kees C. Welten, Marc W. Caffee, Monika E. Kress, Marlene D. Giscard, A. J.Timothy Jull, Ralph P. Harvey, John Schutt

Faculty Research, Scholarly, and Creative Activity

The US Antarctic Search for Meteorites (ANSMET) discovered a dense cluster of 88 ordinary chondrites with a total mass of more than 100 kg on a blue ice area (BIA) of 1.6 × 0.3 km2 near the Otway Massif, Grosvenor Mountains, Antarctica. The larger masses (weighing up to 29 kg) were found at one end of an oval-shaped pattern and the smaller masses (50–200 g) at the other end. We measured concentrations of the cosmogenic radionuclides 10Be (half-life—1.36 × 106 year) and 36Cl (3.01 × 105 year) in the metal fraction of 17 H chondrites, including 14 fragments of this …

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Is Knowledge Management (Finally) Extractive? – Fuller’S Argument Revisited In The Age Of Ai, Norman Mooradian Jan 2024

Is Knowledge Management (Finally) Extractive? – Fuller’S Argument Revisited In The Age Of Ai, Norman Mooradian

Faculty Research, Scholarly, and Creative Activity

Aim/Purpose The rise of modern artificial intelligence (AI), in particular, machine learning (ML), has provided new opportunities and directions for knowledge management (KM). A central question for the future of KM is whether it will be dominated by an automation strategy that replaces knowledge work or whether it will support a knowledge-enablement strategy that enhances knowledge work and uplifts knowledge workers. This paper addresses this question by re-examining and updating a critical argument against KM by the sociologist of science Steve Fuller (2002), who held that KM was extractive and exploitative from its origins. Background This paper re-examines Fuller’s argument …

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Keck/Kcwi Spectroscopy Of Globular Clusters In Local Volume Dwarf Galaxies, Duncan A. Forbes, Daniel Lyon, Jonah Gannon, Aaron J. Romanowsky, Jean P. Brodie Jan 2024

Keck/Kcwi Spectroscopy Of Globular Clusters In Local Volume Dwarf Galaxies, Duncan A. Forbes, Daniel Lyon, Jonah Gannon, Aaron J. Romanowsky, Jean P. Brodie

Faculty Research, Scholarly, and Creative Activity

A number of nearby dwarf galaxies have globular cluster (GC) candidates that require spectroscopic confirmation. Here we present Keck telescope spectra for 15 known GCs and GC candidates that may be associated with a host dwarf galaxy, and an additional 3 GCs in the halo of M31 that are candidates for accretion from a now disrupted dwarf galaxy. We confirm 6 star clusters (of intermediate-to-old age) to be associated with NGC 247. The vast bulk of its GC system remains to be studied spectroscopically. We also confirm the GC candidates in F8D1 and DDO190, finding both to be young star …

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Oculometric Biomarkers Of Visuomotor Deficits In Clinically Asymptomatic Patients With Systemic Lupus Erythematosus Undergoing Long-Term Hydroxychloroquine Treatment, Andrew R. Berneshawi, Kimia Seyedmadani, Rahul Goel, Mark R. Anderson, Terence L. Tyson, Yasmin M. Akay, Metin Akay, Loh Shan B. Leung, Leland S. Stone Jan 2024

Oculometric Biomarkers Of Visuomotor Deficits In Clinically Asymptomatic Patients With Systemic Lupus Erythematosus Undergoing Long-Term Hydroxychloroquine Treatment, Andrew R. Berneshawi, Kimia Seyedmadani, Rahul Goel, Mark R. Anderson, Terence L. Tyson, Yasmin M. Akay, Metin Akay, Loh Shan B. Leung, Leland S. Stone

Faculty Research, Scholarly, and Creative Activity

Introduction: This study examines a set of oculomotor measurements, or “oculometric” biomarkers, as potential early indicators of visual and visuomotor deficits due to retinal toxicity in asymptomatic Systemic Lupus Erythematosus (SLE) patients on long-term hydroxychloroquine (HCQ) treatment. The aim is to identify subclinical functional impairments that are otherwise undetectable by standard clinical tests and to link them to structural retinal changes. Methods: We measured oculomotor responses in a cohort of SLE patients on chronic HCQ therapy using a previously established behavioral task and analysis technique. We also examined the relationship between oculometrics, OCT measures of retinal thickness, and standard clinical …

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Computer Vision Intelligence Test Modeling And Generation: A Case Study On Smart Ocr, Jing Shu, Bing Jiun Miu, Eugene Chang, Jerry Gao, Jun Liu Jan 2024

Computer Vision Intelligence Test Modeling And Generation: A Case Study On Smart Ocr, Jing Shu, Bing Jiun Miu, Eugene Chang, Jerry Gao, Jun Liu

Faculty Research, Scholarly, and Creative Activity

AI-based systems possess distinctive characteristics and introduce challenges in quality evaluation at the same time. Consequently, ensuring and validating AI software quality is of critical importance. In this paper, we present an effective AI software functional testing model to address this challenge. Specifically, we first present a comprehensive literature review of previous work, covering key facets of AI software testing processes. We then introduce a 3D classification model to systematically evaluate the image-based text extraction AI function, as well as test coverage criteria and complexity. To evaluate the performance of our proposed AI software quality test, we propose four evaluation …

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Predictive Modeling In Healthcare, Ibrahim Essa Abdulla Ali Alattar Jan 2024

Predictive Modeling In Healthcare, Ibrahim Essa Abdulla Ali Alattar

Theses

Predictive modelling, especially the use of horizontal lines, has become an important tool in clinical practice to help make informed decisions and accurate predictions. This study focuses on the use of horizontal regression in clinical practice, evaluating its effectiveness in revealing patterns and improving the accuracy of predictions. This study introduces the process of developing a linear model, emphasizing the importance of preliminary data analysis, feature selection, and model evaluation. To make sure your model's predictions are accurate, consider key assumptions such as sampling, independence, and homoscedasticity. The main goal is to provide doctors with the knowledge and skills needed …

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Emergence Of Preferential Flow Paths And Intermittent Dynamics In Emulsion Transport In Porous Media, Michael Izaguirre Jan 2024

Emergence Of Preferential Flow Paths And Intermittent Dynamics In Emulsion Transport In Porous Media, Michael Izaguirre

Theses

This dissertation aims to study the underlying physics of anomalous transport of emulsions in porous media and quantify the role of droplet-pore and droplet-droplet interactions in transport in porous media experimentally. The complexities of this problem arise from the network heterogeneity, correlations between the pores across the medium, interfacial properties of the fluids, and the correlations between the pore scale dynamics and system-level transport. This dissertation presents significant advancements in the study of emulsion dynamics within two-dimensional porous media through the development of innovative image analysis and tracking methods. These advancements include precise detection and tracking of deformable objects, which …

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Optical Differentiation Wavefront Sensor With Pixelated Filters Toward High Performance Metrology, Biswa R. Swain Jan 2024

Optical Differentiation Wavefront Sensor With Pixelated Filters Toward High Performance Metrology, Biswa R. Swain

Theses

Freeform optics enables enhanced system performance and packaging due to the high degrees of design freedom they provide, but characterizing these optics remains challenging. Phase measurement of an optical wave is essential in the metrology of optical components, adaptive optics, and laser beam quality assessment. The Shack-Hartman Wavefront Sensors are limited by their dynamic range and resolution due to lenslet operation. Interferometric-method-based adaptive nulling requires high-performance wavefront sensor, and coordinate-scanning-based measurements are time consuming. We investigate and develop an Optical Differentiation Wavefront Sensor (ODWS) based on binary pixelated filter that enables high dynamic range, high resolution freeform metrology. Analysis of …

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Assessment Of The Quality Of Interdisciplinary Communication (Critcom): Evaluation And Refinement Of A Center Summary Report, Lara Counts, Jocelyn Rivera, Parima Wiphatphumiprates, Maria Puerto-Torres, Kim Prewitt, Douglas A Luke, Dylan E Graetz, Sara Malone, Asya Agulnik Jan 2024

Assessment Of The Quality Of Interdisciplinary Communication (Critcom): Evaluation And Refinement Of A Center Summary Report, Lara Counts, Jocelyn Rivera, Parima Wiphatphumiprates, Maria Puerto-Torres, Kim Prewitt, Douglas A Luke, Dylan E Graetz, Sara Malone, Asya Agulnik

2020-Current year OA Pubs

Communication failures among clinicians in the ICU (intensive care unit) often lead to worse patient outcomes. CritCom is a bilingual (English and Spanish) tool to evaluate the quality of interdisciplinary communication around patient deterioration for pediatric oncology patients. The use of reports, such as the CritCom report, as dissemination methods lead to quicker knowledge translation and implementation of research findings into policy. Nurses and physicians at participating centers who care for patients at risk of deterioration completed the CritCom survey and center-specific reports were generated to communicate CritCom results. Focus groups were conducted with clinicians receiving CritCom reports in both …

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The Future Of Unfair Terms Regulation In Commercial Contracts, Marcus Moore Jan 2024

The Future Of Unfair Terms Regulation In Commercial Contracts, Marcus Moore

All Faculty Publications

What is the future of unfair contract terms regulation? To date, regimes of unfair terms regulation have shared several key operational features, but have diverged on the question of the scope of regulation: some regimes focus on consumer contracts or exemption clauses, while other regimes include all commercial standard form contracts. Both domestic and transnational commerce would be well served by broader harmonisation of unfair terms regulation. But divergence on the basic question of the scope of regulation has hindered such harmonisation. Some important recent developments suggest a possible trend towards regulation of a scope which includes all standard form …

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Defect Detection And Closed-Loop Feedback Using Machine Learning For Fused Filament Fabrication, Amaris De La Rosa, Amir Armani, Marcia Golmohamadi Jan 2024

Defect Detection And Closed-Loop Feedback Using Machine Learning For Fused Filament Fabrication, Amaris De La Rosa, Amir Armani, Marcia Golmohamadi

Faculty Research, Scholarly, and Creative Activity

The objective of this study was to develop a closed-loop system for a commercial fused filament fabrication printer based on visual machine learning inspection of common defects. Convolutional neural network was used to identify levels of common defects: stringing, over/under-extrusion, and weak infill. Transfer learning was used to adapt a pre-trained model to fit this problem, as it involves incrementally fine-tuning the model parameters to new data. The observation model achieved an accuracy of 92.86% on validation data set and 90.0% on the testing data set. By modifying the input G-code, the custom program could adjust the feed-rate, nozzle temperature, …

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Fuzzy Similarity Analysis Of Effective Training Samples To Improve Machine Learning Estimations Of Water Quality Parameters Using Sentinel-2 Remote Sensing Data, Alireza Taheri Dehkordi, Mohammad Javad Valadan Zoej, Ali Mehran, Mohsen Jafari, Amir Masoud Chegoonian Jan 2024

Fuzzy Similarity Analysis Of Effective Training Samples To Improve Machine Learning Estimations Of Water Quality Parameters Using Sentinel-2 Remote Sensing Data, Alireza Taheri Dehkordi, Mohammad Javad Valadan Zoej, Ali Mehran, Mohsen Jafari, Amir Masoud Chegoonian

Faculty Research, Scholarly, and Creative Activity

Continuous monitoring of water quality parameters (WQPs) is crucial due to the global degradation of water quality, primarily caused by climate change and population growth. Typically, machine learning (ML) models are employed to retrieve WQPs, but they require a large amount of training samples to accurately capture the data relationships. Even with sufficient training data, discrepancies still exist between values of predicted and in-situ WQPs. This study proposes a fuzzy similarity analysis (FSA) technique to enhance ML estimates of WQPs by using the prediction errors in effective training samples. The method was successfully applied to retrieve turbidity (Turb) and specific …

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Lessons From A Professional Learning Community: Navigating Tensions While Moving Between Theory And Practice In Teaching Chemistry For Social Justice, Kathryn Ribay Jan 2024

Lessons From A Professional Learning Community: Navigating Tensions While Moving Between Theory And Practice In Teaching Chemistry For Social Justice, Kathryn Ribay

Faculty Research, Scholarly, and Creative Activity

Maintaining a commitment to social justice teaching can be especially challenging when navigating the bureaucratic systems and ever-spiraling responsibilities of the education system. To better understand how social-justice-oriented educators navigate these tensions, this paper uses qualitative methods to investigate the social justice problems of practice identified by five chemistry teachers in a year-long professional learning community. By analyzing the challenges described in their problem-posing segments, I identify seven major themes that represent key sources of tension and possibility as teachers move from theory to practice in teaching chemistry for social justice. These findings indicate that the practical considerations of day-to-day …

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Clots Reveal Anomalous Elastic Behavior Of Fiber Networks, Andrei Zakharov, Myra Awan, Terrence Cheng, Arvind Gopinath, Sang Joon John Lee, Anand K. Ramasubramanian, Kinjal Dasbiswas Jan 2024

Clots Reveal Anomalous Elastic Behavior Of Fiber Networks, Andrei Zakharov, Myra Awan, Terrence Cheng, Arvind Gopinath, Sang Joon John Lee, Anand K. Ramasubramanian, Kinjal Dasbiswas

Faculty Research, Scholarly, and Creative Activity

The adaptive mechanical properties of soft and fibrous biological materials are relevant to their functionality. The emergence of the macroscopic response of these materials to external stress and intrinsic cell traction from local deformations of their structural components is not well understood. Here, we investigate the nonlinear elastic behavior of blood clots by combining microscopy, rheology, and an elastic network model that incorporates the stretching, bending, and buckling of constituent fibrin fibers. By inhibiting fibrin cross-linking in blood clots, we observe an anomalous softening regime in the macroscopic shear response as well as a reduction in platelet-induced clot contractility. Our …

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Emergency And Disaster Preparedness For Individuals Who Use Augmentative And Alternative Communication: A Pilot Study On Supported Planning Using A Toolkit, Andrea Barton-Hulsey, Miriam C. Boesch, Yoosun Chung, Tina Caswell, Amy Miller Sonntag, Wendy Quach Jan 2024

Emergency And Disaster Preparedness For Individuals Who Use Augmentative And Alternative Communication: A Pilot Study On Supported Planning Using A Toolkit, Andrea Barton-Hulsey, Miriam C. Boesch, Yoosun Chung, Tina Caswell, Amy Miller Sonntag, Wendy Quach

Faculty Research, Scholarly, and Creative Activity

Purpose: When emergencies or disasters arise, individuals who use augmenta-tive and alternative communication (AAC) are particularly vulnerable. It is critical that individuals who use AAC are supported to make decisions that impact their own lives and are able to communicate during such a crisis. Preparedness efforts that include a plan around communication needs and supports are necessary for ensuring that individuals who use AAC are able to understand options that ensure personal safety and express their needs during a time of crisis. Method: Qualitative methods were used to identify and describe the experi-ences of two young adults who use AAC …

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The Effect Of A Night Shift Nap On Post-Night Shift Performance, Sleepiness, Mood, And First Recovery Sleep: A Randomized Crossover Trial, P. Daniel Patterson, Cassie J. Hilditch, Matthew D. Weaver, David G.L. Roach, Tiffany S. Okerman, Sarah E. Martin, Charity G. Patterson, Leonard S. Weiss Jan 2024

The Effect Of A Night Shift Nap On Post-Night Shift Performance, Sleepiness, Mood, And First Recovery Sleep: A Randomized Crossover Trial, P. Daniel Patterson, Cassie J. Hilditch, Matthew D. Weaver, David G.L. Roach, Tiffany S. Okerman, Sarah E. Martin, Charity G. Patterson, Leonard S. Weiss

Faculty Research, Scholarly, and Creative Activity

Objectives This study aimed to test the effect of a 30-minute nap versus a 2-hour nap opportunity taken during a simulated night shift on performance, fatigue, sleepiness, mood, and sleep at the end of shift and during post-night shift recovery. Methods We conducted a randomized crossover trial of three nap conditions (30-minute, 2-hour, and no-nap) during 12-hour simulated night shifts. We tested for differences in performance, fatigue, sleepiness, mood, and sleep during in-lab and at-home recovery. Performance was measured with the Brief Psychomotor Vigilance Test (PVT-B). Subjective ratings were assessed with single-item surveys. Results Twenty-eight individuals consented to participate [mean …

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Identifying Functional And Potential Therapeutic Sites In Reverse Transcriptase Using Comparative Short-Term Molecular Dynamics, Richmond Asare-Bediako Jan 2024

Identifying Functional And Potential Therapeutic Sites In Reverse Transcriptase Using Comparative Short-Term Molecular Dynamics, Richmond Asare-Bediako

Theses

Drug escapes due to mutations in the HIV-1 virus genome have been a global menace over the last few decades. A major focus in dealing with this issue has revolved around taking advantage of the structural view of the virus to investigate how these mutations affect target drugs. The role of comparative molecular dynamics (MD), which provides valuable insights on motions involved in the functional interactions and dynamic fluctuations of the atoms in the amino acid residues on the protein chains. Although less explored than structural analyses of drug-target interactions, this study provides substantial and critical information needed to fully …

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Incorporating Point Of Care Ultrasound In Cardiac Arrest And Pulseless Electrical Activity, Zayneb H. Ghazle Jan 2024

Incorporating Point Of Care Ultrasound In Cardiac Arrest And Pulseless Electrical Activity, Zayneb H. Ghazle

Theses

For decades, cardiac arrests have had a high mortality and morbidity rate despite medical interventions. Statistically, shockable rhythms (ventricular fibrillation, ventricular tachycardia) have had a better prognosis than non-shockable rhythms, which includes pulseless electrical activity (PEA) and asystole1. The reversible mechanical causes of PEA and the role of point-of-care cardiac ultrasound (POCUS) in their diagnosis and management will be discussed. This paper also focuses on the appearance and interpretation of these sonographic findings in order to guide clinicians in their medical management, goal of returning spontaneous circulation (ROSC), and estimating patient prognosis.

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Characterization Of Curing Kinetics Of An Anisotropic Conductive Adhesive Using Rheology And Differential Scanning Calorimetry, Connor Kirkpatrick Jan 2024

Characterization Of Curing Kinetics Of An Anisotropic Conductive Adhesive Using Rheology And Differential Scanning Calorimetry, Connor Kirkpatrick

Theses

A kinetic study performed to further the understanding of a novel magnetically aligned anisotropic conductive adhesive (ACA) was performed using differential scanning calorimetry (DSC) and a rheometer, under both isothermal and non-isothermal conditions. Isothermal data was collected at 70, 80, and 90°C, whereas non-isothermal data was collected at 5, 10, 20, and 30°C/min, with results interpreted through the use of an autocatalytic model. For isothermal experiments, the rate of conversion was found to increase with increasing isothermal curing temperature, and this was reflected in the kinetic rate constant. Moreover, the rate constant determined by DSC was found to range from …

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