Attitudes Toward Intimate Behaviors Vary With Context, Behavior Type, And Attachment Avoidance., Julian Domingo Fuentes

Dissertations - ALL

Close relationships are associated with myriad benefits for human functioning. Intimate behaviors (e.g., physical affection, self-disclosure) are critical for establishing closeness, and people who enact intimate behaviors more frequently also tend to experience greater positive affect and subjective well-being. People vary in how much they desire and enact intimate behaviors in their relationships, and persons who are relatively high in attachment avoidance—reluctance to rely on close others for support and comfort—tend to report less desire for and less frequent enactment of intimate behaviors than do persons who are relatively lower in attachment avoidance. If highly avoidant persons’ negative attitudes toward …

Traumatization Resulting From Interpersonal Disclosure: Developing A Measure Of Disclosure-Induced Neo-Trauma, Sarah D. Wolf-Gramzow

Dissertations - ALL

The purpose of this study was to introduce a new construct into the field of traumatology: disclosure-induced neo-trauma (DINT). DINT is conceptually defined as a negative disclosure experience that entails traumatic stress, disrupts the relationship between the discloser and the person(s) to whom they disclosed, and is appraised by the discloser as a new traumatic event. Participants (N = 167) identified a stressful event in their lives and reported whether they had ever disclosed that event. The majority (59%) of participants who had disclosed the event had experienced a difficult disclosure, and 15% strongly agreed that the disclosure in and …

Data-Informed School Counseling Programming: Investigating The Relationship Between School Counselors' Data Behaviors And Prior Training, Intrapersonal Characteristics, And School Factors, Erin Nicole Friedman

Dissertations - ALL

School counselors’ data behaviors are critical for implementing and assessing comprehensive developmental school counseling programs (CDSCP). The purpose of this research study was to examine the factors related to practicing school counselors’ data behaviors in the context of CDSCPs. Participants (n = 151) were practicing professional school counselors within the United States of America (USA) that received their masters from a school counselor training program in the USA. The study utilized a non-experimental survey research design to examine the impact of prior training on utilizing data, school counselors’ intrapersonal characteristics related to program evaluation, and organizational characteristics (e.g., perceived administrator …

Real-Time Adaptive Detection And Recovery Against Sensor Attacks In Cyber-Physical Systems, Lin Zhang

Dissertations - ALL

Cyber-physical systems (CPSs) utilize computation to control physical objects in real-world environments, and an increasing number of CPS-based applications have been designed for life-critical purposes. Sensor attacks, which manipulate sensor readings to deceive CPSs into performing dangerous actions, can result in severe consequences. This urgent need has motivated significant research into reactive defense. In this dissertation, we present an adaptive detection method capable of identifying sensor attacks before the system reaches unsafe states. Once the attacks are detected, a recovery approach that we propose can guide the physical plant to a desired safe state before a safety deadline.Existing detection approaches …

An Empirical Study Of Pre-Trained Model Reuse In The Hugging Face Deep Learning Model Registry, Wenxin Jiang, Nicholas Synovic, Matt Hyattt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hisang Lu, George K. Thiruvathukal, James C. Davis

Computer Science: Faculty Publications and Other Works

Deep Neural Networks (DNNs) are being adopted as components in software systems. Creating and specializing DNNs from scratch has grown increasingly difficult as state-of-the-art architectures grow more complex. Following the path of traditional software engineering, machine learning engineers have begun to reuse large-scale pre-trained models (PTMs) and fine-tune these models for downstream tasks. Prior works have studied reuse practices for traditional software packages to guide software engineers towards better package maintenance and dependency management. We lack a similar foundation of knowledge to guide behaviors in pre-trained model ecosystems.

In this work, we present the first empirical investigation of PTM reuse. …

Drawing As Process: Expansiveness Through Constraint, Ciel Miao

Bachelor of Fine Arts Senior Papers

This paper explores the concept of drawing as a time-based practice, where the process is the core of the artwork rather than the finished product. I divide my artistic concerns into four chapters, each advancing on the previous one, to discuss my drawing practice, which allows for exploration of time and space across a wide array of media and styles of representation. I embrace impulse and intuition in the mark-making process, letting go of control while prioritizing the form of depicted figures over their image. This paper highlights the importance of my inner contradiction and how the process reflects my …

Chargex: Exploring State Switching Attack On Electric Vehicle Charging Systems, Ce Zhou, Qiben Yan, Zhiyuan Yu, Eshan Dixit, Ning Zhang, Huacheng Zeng, Alireza Safdari Ghanhdari

Computer Science Faculty Research & Creative Works

Electric Vehicle (EV) has become one of the promising solutions to the ever-evolving environmental and energy crisis. The key to the wide adoption of EVs is a pervasive charging infrastructure, composed of both private/home chargers and public/commercial charging stations. The security of EV charging, however, has not been thoroughly investigated. This paper investigates the communication mechanisms between the chargers and EVs and exposes the lack of protection on the authenticity in the SAE J1772 charging control protocol. To showcase our discoveries, we propose a new class of attacks, ChargeX, which aims to manipulate the charging states or charging rates of …

Development Of Methods To Enhance Stem Cell Derived Islet Survival, Aining Fan

McKelvey School of Engineering Graduate Student Theses & Dissertations

No abstract provided.

Software-Defined Networking Security Techniques And The Digital Forensics Of The Sdn Control Plane, Abdullah Alshaya

LSU Doctoral Dissertations

Software-Defined Networking (SDN) is an efficient networking design that decouples the network's control plane from the data plane. When compared to the traditional network architecture, the SDN architecture shares many of the same security issues. The centralized SDN controller makes it easier to control, easier to program in real-time, and more flexible, but this comes at the cost of more security risks. An attack on the control plane layer of the SDN controller is a major security concern.

First, centralized design and the existence of a single point of failure in the control plane compromise the accessibility and availability of …

To Dig A Hole And Fill It Back Up, Jackson Whetstone

Bachelor of Fine Arts Senior Papers

Abstract:

The socioeconomical philosophy of the United States is still very much related to the Marxist Labor Theory of Value which states that “the economic value of a good or service is determined by the amount of socially necessary labor required to produce it” (Das Kapital, Marx 1.) This philosophy has penetrated the way that we think about art and object, and in turn positions art as a means of transaction, thus limiting art to a form of glorified currency. This Essay will chronicle my art practice, that have led up to two thesis pieces, Trench and Dig …

Melting, Dripping, Becoming: The Operations Of Memory From The Perspective Of Wax, Naomi Yu

Bachelor of Fine Arts Senior Papers

In my thesis, I explore how different compositional and material techniques are used to re-create a memory. Looking at artists such as Kiki Smith, Guadalupe Maravilla, and Anselm Keifer, I investigate the ways in which they utilize 2D and 3D materials to re-create feelings of memory.

I argue that the art object can conserve and portray memory through metaphorical acts of preservation. I will be specifically studying the acts of encasing and layering as a means to simulate the feelings of memory. I argue that these metaphorical actions create an artificial sense of time that imbues these objects with created …

A Meditation On Loneliness And The Mind's Limits: Combining Buddhism And Art To Better Understand Our Relationship To The Unknown, William Masters

Bachelor of Fine Arts Senior Papers

In this essay, I explain how my art practice instigates inquiry into uncomfortable subjects such as loneliness and how our limits of perception and cognition prevent us from understanding and connecting fully with our environments. I begin by illustrating how I make such subjects more approachable by exploiting the inherent capacity of art to be both pleasurable and painful: a work's pleasing aesthetic can make one more receptive to its disquieting content. I then describe how eastern philosophy and western art have influenced my practice. I highlight how Buddhist insights into the relationship between calmness, security and clarity have informed …

It Is What It Is... Enduring The Never-Ending: The Lived Experiences Of Parenting Adult Children With Developmental/Intellectual Disabilities, Siri Gurunam Kaur Khalsa

Nursing ETDs

The parental home is the principal place of residence for adults with developmental disabilities/ intellectual disabilities (DD/ID) (Heller et al., 2007). More than 75% of the adult population with DD/ID living in the U.S. continue to have their basic needs provided by their parents (Williamson & Perkins, 2014). This is based on the estimated statistic that 1.0 to 1.58% of the U.S. adult population has a developmental disability (Anderson et al., 2019; Fox et al., 2015). About 2.9 million adults with DD/ID live with a parent of 55 years (Byun et al., 2006), with more than 25% of these parents …

Collaboration, Compassion, & Communication Within Applied Behavior Analysis, Macey Shellhouse

Capstone Projects

The reputation of behavior analysis can no longer be dismissed by behavior analysts. Appropriate dissemination, marketing, communication, and use of scientific terminology with caregivers, practitioners, and the public play a vital role in ensuring improvement of this reputation. Learning these skills and incorporating them into trainings so behavior analysts can utilize the gained knowledge into practice. Acknowledging the history of behavior analysis and the reputation it produced, collaborating with professionals, marketing behavior analysis appropriately, and the importance of behavior jargon can be done with further research and understanding of how to implement all of these in daily practice.

Using Imagery Practice To Improve Airline Pilot Situational Awareness, Brian Christopher Sajdak

Dissertations

Pilot error remains the primary cause of airline airplane accidents (Federal Aviation Administration, n.d.). Airline pilots have relied on Crew Resource Management and Threat Error Management to reduce or eliminate errors (Helmreich & Foushee, 2019). Unfortunately, the worldwide accident rate continues to increase (International Air Transport Association, 2021), demonstrating the need for further research into improving aviation safety. Current regulations do not require imagery training for airline pilots to improve situational awareness (Federal Aviation Administration, 2017a). Athletes and other professionals, such as musicians and medical professionals, use imagery to improve performance (Munzert et al., 2009). Imagery practice may improve the …

Affective Commitment, Mentoring, And Anticipated Turnover Among Millennials, Keiasha Hypolite

Dissertations

ABSTRACT

Millennials comprise the largest group of individuals in the workforce, yet organizations struggle to keep millennials engaged in the workplace. Millennials move from job to job, with an average stay at one employer between 12 and 18 months (Hechl, 2017). Researchers have reported that millennials cause the majority of turnover in the workplace. Globally, human resources practitioners experience difficulties retaining millennials (Sahraee et al., 2021). Previous studies have researched millennials, affective commitment, mentoring, and turnover. However, no known research has used all four factors to solve a global problem. In their discussion of the highly competitive labor market, Ramírez …

Embracing Ai/Ml In Genetic Counseling: A Nationwide Survey On Program Leaderships’ Perspectives And Curriculum Integration, Kyla Holmes

KGI Theses and Dissertations

This study aimed to examine the attitudes and preparedness of genetic counseling program directors and faculty leadership in incorporating artificial intelligence and machine learning (AI/ML) into their curricula and its effect on core competency proficiency. AI/ML has been instrumental in creating and maintaining vital analytical tools and models employed by genetic counselors (GCs). However, research on the attitudes of faculty leadership in charge of training future GCs is limited. A nationwide survey conducted between November 2022 and February 2023 gathered 15 respondents holding diverse academic positions in genetic counseling program curriculum development. The majority of respondents had encountered AI/ML in …

Dynamic Assessment Of Aac Verb Symbols For Children With Autism Spectrum Disorder, Valerie Prieto, Cindy Gevarter, Cathy Binger, Mary Hartley

Speech and Hearing Sciences ETDs

This study used dynamic assessment (DA) with graduated prompting to evaluate whether preschool-aged children with autism spectrum disorder (ASD) demonstrated learning potential with verb-based augmentative alternative communication (AAC) symbols. Four participants completed DA sessions across three instructional conditions: (a) requesting actions embedded in play, (b) labeling actions embedded in play, and (c) labeling actions presented via video. Performance across these conditions along with a control condition was compared using an adapted multielement single-case design. Three participants demonstrated learning in at least two instructional conditions, and only one showed progress in the control condition. Overall, participants initially required less cueing to …

Turn On A Dime Instructional Design: Solving An Instructional Problem In 50 Minutes Or Less, Janna Mattson, Christopher Lowder, Valerie Linsinbigler, David X. Lemmons

Libraries

Library instructors do not always have enough time to spend on solving the problems they face in the classroom and fixing these issues can feel like starting from scratch. In this workshop, attendees will use rapid instructional design and the ADDIE Model to address their instructional issues, build upon existing knowledge, and avoid instructional pitfalls. This presentation includes an activity to walk participants through the rapid instructional design steps to help them solve a learning problem and activity cards to learn more about popular learning theories, as they apply in the library classroom, including behaviorism, cognitivism, and collectivism.

Clinical Procedure Training For Physician Assistants: An Evaluation Of Reported Exposure And Perception Of Comfort To Perform, Allison Martin

Anatomical Education Dissertations

The purpose of this study was to examine physician assistant (PA) students’ perceptions of clinical procedure training following completion of didactic and clinical phases within a single program based in eastern Tennessee. The cross-sectional study design utilized two survey instruments to record responses from PA students. Responses were gathered from one cohort following the clinical rotation training phase of their program and from a consecutive cohort prior to beginning rotation training.

Evidence among medical student populations suggest that exposure to common clinical procedures is declining and reports from students indicate lower confidence to perform common procedures. The PA profession has …

The Affective Landscapes Of Herbalism In New Mexico, Samantha Angelou Stroud

Geography ETDs

Herbalism, or practices which use plants for medicinal purposes, is tied to traditions in several cultures of the American Southwest, including Indigenous herbal medicine, Mexican-American curanderismo, and Western herbal traditions. Herbalism has been steadily gaining mainstream popularity since the late 1960s, alongside counterculture, holistic health, and back-to-nature movements, introducing many newcomers to the practice. This study asks: How does herbalism create and attach meaning to plants, cultures, and place in New Mexico? What are the affective landscapes produced by herbalism in New Mexico? And, to what extent do meaningful attachments manifest in ethics and actions of care? I argue that …

Impact Of Emotional Processing On Working Memory In Preadolescents With High Autistic And Anxiety Traits, Teagan Mullins

Psychology ETDs

Adolescence is an important neurodevelopmental period that confers both opportunity for positive change, and a risk for emerging psychopathology. In particular, anxiety disorders and autism spectrum disorder (ASD) both cause significant challenges during adolescence that impact individuals throughout their lifespan. Notably, functional impacts of anxiety and ASD are not limited to those who meet diagnostic criteria, and can be present at sub-clinical levels. However, despite high rates of co-morbidity of ASD and anxiety symptomology, the degree to which the neural bases of anxiety are similar or qualitatively different in individuals with and without autistic traits is unknown. One candidate neurobehavioral …

University Of Minnesota Morris Commencement 2023, Communications And Marketing

UMM Commencement

The University of Minnesota Morris's Sixtieth Commencement Saturday, May 13, 2023.

Energy-Efficient Operation And Performance Optimization In Computing Systems, Nafis Irtija

Electrical and Computer Engineering ETDs

In the modern world, an expansive range of computing systems are being used, and in all of these systems, energy efficiency and performance optimization are of utmost significance. But performance optimization means different things for different computing systems. Because of their difference in nature, computing systems have different requirements for efficiency and optimization. Distributed systems such as smart-grid systems, edge-computing environments, and blockchain systems focus on the behavior of the agents. Thus, the application of network economics principles, such as Game Theory and Contract Theory, can improve the operation of these systems in a multitude of ways. On the other …

Long-Term Human Video Activity Quantification In Collaborative Learning Environments, Venkatesh Jatla

Electrical and Computer Engineering ETDs

Research on video activity detection has mainly focused on identifying well-defined human activities in short video segments, often requiring large-parameter systems and extensive training datasets. This dissertation introduces a low-parameter, modular system with rapid inference capabilities, capable of being trained on limited datasets without transfer learning from large-parameter systems. The system accurately detects specific activities and associates them with students in real-life classroom videos. Additionally, an interactive web-based application is developed to visualize human activity maps over long classroom videos.

Long-term video activity detection in classrooms presents challenges, such as multiple simultaneous activities, rapid transitions, long-term occlusions, duration exceeding 15 …

Modeling And Characterization Of Cmos Logic Gates Under Large Signal Rf Injection, Zahra Abedi

Electrical and Computer Engineering ETDs

This research addresses the issue of electromagnetic interference (EMI) in digital electronics, which can cause undesired behavior in active electronic components and systems. As technology advances and transistor size decreases, devices become more susceptible to EMI. In addition, as voltage is scaled down to save energy, silicon chips become more susceptible to soft errors. While there are several ways to mitigate the impact of severe EMI on digital systems, minimal electromagnetic coupling can still cause significant problems. We develop analytical models to predict device upset due to EMI. The study focuses on identifying vulnerable parameters of operation related to device …

Incentives To Learn: A Location-Based Federated Learning Model, Ryan Kilpatrick-Morrison Brown

Electrical and Computer Engineering ETDs

Federated Learning (FL) effectiveness depends, among others, on the quality and quantity of the training data and process realized at the end computing nodes. In this paper, we introduce a novel location-based federated learning model, enabled by a low-cost and fast deployable Reconfigurable Intelligent Surfaces (RIS) - based approach that allows to accurately determine the distributed computing nodes’ positions. Furthermore, in order to train a global model to support different types of smart city applications, while considering two types of servers, offering a prime and common service, respectively, under different costs, the proposed location-based FL model is complemented by an …

Machine Learning Based Prediction Models For Silicon Heterojunction Solar Cell Optimization, Rahul Jaiswal

Electrical and Computer Engineering ETDs

Silicon heterojunction solar cell of Heterojunction with Thin Intrinsic Layer (HIT) structure is a commercially available technology, and its market share will significantly increase by the next decade. With such a significant market share, any minor improvement in the device’s overall efficiency can be beneficial three folds - customer return on investment, industry revenue, and the overall carbon footprint (from manufacturing to recycling/ disposing of the device). Conventionally, device optimization for solar cells has been achieved using a hit & trial approach where multiple experiments are done to evaluate the best process conditions and device parameters. This approach has some …

Vi Energy-Efficient Memristor-Based Neuromorphic Computing Circuits And Systems For Radiation Detection Applications, Jorge Iván Canales Verdial

Electrical and Computer Engineering ETDs

Radionuclide spectroscopic sensor data is analyzed with minimal power consumption through the use of neuromorphic computing architectures. Memristor crossbars are harnessed as the computational substrate in this non-conventional computing platform and integrated with CMOS-based neurons to mimic the computational dynamics observed in the mammalian brain’s visual cortex. Functional prototypes using spiking sparse locally competitive approximations are presented. The architectures are evaluated for classification accuracy and energy efficiency. The proposed systems achieve a 90% true positive accuracy with a high-resolution detector and 86% with a low-resolution detector.

Spring Commencement: May 13, 2023, University Of North Dakota

UND Commencement Programs

UND Spring Commencement program from May 13, 2023.