Digital Commons Network^™

Don’T Touch That Dial: Psychological Reactance, Transparency, And User Acceptance Of Smart Thermostat Setting Changes, Matthew Heatherly, Denise A. Baker, Casey I. Canfield

Psychological Science Faculty Research & Creative Works

Automation inherently removes a certain amount of user control. If perceived as a loss of freedom, users may experience psychological reactance, which is a motivational state that can lead a person to engage in behaviors to reassert their freedom. In an online experiment, participants set up and communicated with a hypothetical smart thermostat. Participants read notifications about a change in the thermostat's setting. Phrasing of notifications was altered across three dimensions: strength of authoritative language, deviation of temperature change from preferences, and whether or not the reason for the change was transparent. Authoritative language, temperatures outside the user's preferences, and …

Generating Adversarial Malware Examples Using Particle Swarm Optimization, Sirapat Thianphan

Theses

Adversaries develop adversarial malware examples that are designed to evade detection systems, which can significantly decrease the performance of malware classifiers. To defend against adversarial malware examples, a technique called adversarial training is implemented by additionally train the detection models with adversarial examples, making the models more robust to such attacks. This thesis discusses an approach to generating adversarial examples using Particle Swarm Optimization (PSO). We explore a technique called AdversarialPSO proposed by Rayan Mosli [1], which crafts adversarial malware examples by replacing API calls with alternative APIs that have equivalent functionality leveraging PSO to navigate substitutions. In this thesis, …

Domain Restriction Zones: An Evolution Of The Military Exclusion Zone, Cole M. Mooty, Robert A. Bettinger, Mark G. Reith

Faculty Publications

Since the early part of the twenty-first century, US adversaries have expanded their military capabilities within and their access to new warfighting domains. When faced with the growth of adversaries’ asymmetric capabilities, the means, tactics, and strategies previously used by the US military lose their proportional effectiveness. To avoid such degradation of capability, the operational concept of the military exclusion zone (MEZ) should be revised to suit the modern battlespace while also addressing the shifts in national policy that encourage diplomacy over military force. The concept and development of domain restriction zones (DRZs) increase the relevancy of traditional MEZs in …

Applying Homomorphic Encryption To A Cross Domain Problem, Cheyenne Dailey

Theses

The Cross Domain Problem (CDP) strives to ensure protected data transference across varying security domains. In order to accomplish this, a Cross Domain Solution (CDS) is needed. A common method to protect data is to focus on risk management between trusted parties; however, untrusted parties pose ongoing concern. The problem is determining a method that transfers classified data through various security domains without exposing any information to intermediary parties. Attempts to mitigate this problem have been made utilizing Homomorphic Encryption (HE), a type of encryption that allows for computations to be executed on encrypted data without needing to decrypt it. …

Continual Domain Adaptation Through Knowledge Distillation, Georgi Thomas

Theses

Domain Adaptation (DA) techniques aim to overcome the domain shift between a source domain used for training and the target domain used for testing and deployment. Domain adaptation methods assume the entire target domain is accessible during the adaptation process. We use efficient architectures in the continual data-constrained DA paradigm where the unlabeled data in the target domain is received continually in batches. In recent years, Vision Transformers have emerged as an alternative to traditional Convolutional Neural Networks (CNNs) as the feature extraction backbone for image classification and other computer vision tasks. Within the field of DA, these attention-based architectures …

Cybersecurity Attacks Detection For Mqtt-Iot Networks Using Machine Learning Ensemble Techniques, Sahar Mohamed Bukhari Abdelbasit

Theses

The Internet of Things (IoT) is one of the technical advancements that is progressing swiftly. which promises to be revolutionary soon. IoT systems are convenient due to its device centralized and computerized control. This technology allows various physical devices, home applications, vehicles, appliances, etc., to be interconnected and exposed to the Internet. On the other hand, it entails the fundamental need to protect the network from adversarial and unwanted alterations. Machine-to-machine protocols like Message Queuing Telemetry Transport (MQTT) are typically used by IoT devices to communicate. Numerous techniques to attack networks employ the lightweight messaging protocol known as MQTT (Message …

Enhanced 3d Visualization Of Human Fallopian Tube Morphology Using A Miniature Optical Coherence Tomography Catheter, Hongbo Luo, Shuying Li, Sitai Kou, Yixiao Lin, Ian S Hagemann, Quing Zhu

2020-Current year OA Pubs

We demonstrate the use of our miniature optical coherence tomography catheter to acquire three-dimensional human fallopian tube images. Images of the fallopian tube's tissue morphology, vasculature, and tissue heterogeneity distribution are enhanced by adaptive thresholding, masking, and intensity inverting, making it easier to differentiate malignant tissue from normal tissue. The results show that normal fallopian tubes tend to have rich vasculature accompanied by a patterned tissue scattering background, features that do not appear in malignant cases. This finding suggests that miniature OCT catheters may have great potential for fast optical biopsy of the fallopian tube.

Enhancement Of Interlaminar Shear Strength Of Carbon Fiber Reinforced Polymer Composites With Freeform 3d Printing Using Magnetic Compaction & Zt-Cfrp Technologies, Mohammad Rakibul Islam

Graduate Theses and Dissertations (2019 - present)

Carbon Fiber Reinforced Polymer (CFRP) laminates often exhibit matrix-sensitive weaknesses and flaws when produced via conventional additive manufacturing (AM) techniques due to the introduction of voids and defects during the AM process. This thesis employs a new approach called Magnetic Compaction Force Assisted-Additive Manufacturing (MCFA-AM) to fabricate Carbon Nanofibers (CNF)Z-threaded CFRP (i.e., ZR-CFRP) composite laminates. This novel method utilized a magnetic force to simultaneously levitate, deposit, and compact Continuous Carbon Fiber Reinforced Polymer (C-CFRP) composites in free space and rapidly solidifies the CFRP part without any mold; and effectively reduces the voids. Previous studies have demonstrated that the incorporation of …

Cadmium And Salinity Stressor Antagonism On Vallisneria Neotropicalis, Christopher P. Mikolaitis

Graduate Theses and Dissertations (2019 - present)

Submerged macrophytes form the foundation of freshwater ecosystems. These organisms are sessile and are very susceptible to shifts in their environment. Heavy metals are of particular concern as they can be sequestered indefinitely in sediments and are readily taken up by rooted vegetation. In the presence of saltwater intrusions, these metals can interact with salt ions potentially changing their availability to submerged vegetation. In this study a freshwater macrophyte, Vallisneria neotropicalis, was used as a test species for interactive effects between Cd, a non-essential heavy metal, and salt stress. The metrics used to establish the individual as well as …

1. Mission, History, General Organization And Governance Of Saint Mary’S College, Saint Mary's College Of California

Faculty Handbook

No abstract provided.

Lewis Walker Institute Annual Report 2022-2023, Lewis Walker Institute

Annual Reports

No abstract provided.

Tax Reporting As Regulation Of Digital Financial Markets, Young Ran (Christine) Kim

Articles

FTX’s recent collapse highlights the overall instability that blockchain assets and digital financial markets face. While the use of blockchain technology and crypto assets is widely prevalent, the associated market is still largely unregulated, and the future of digital asset regulation is also unclear. The lack of clarity and regulation has led to public distrust and has called for more dedicated regulation of digital assets. Among those regulatory efforts, tax policy plays an important role. This Essay introduces comprehensive regulatory frameworks for blockchain-based assets that have been introduced globally and domestically, and it shows that tax reporting is the key …

Ideology Prediction From Scarce And Biased Supervision: Learn To Disregard The “What” And Focus On The “How”!, Chen Chen, Dylan Walker, Venkatesh Saligrama

Business Faculty Articles and Research

We propose a novel supervised learning approach for political ideology prediction (PIP) that is capable of predicting out-of-distribution inputs. This problem is motivated by the fact that manual data-labeling is expensive, while self-reported labels are often scarce and exhibit significant selection bias. We propose a novel statistical model that decomposes the document embeddings into a linear superposition of two vectors; a latent neutral context vector independent of ideology, and a latent position vector aligned with ideology. We train an end-to-end model that has intermediate contextual and positional vectors as outputs. At deployment time, our model predicts labels for input documents …

Effects Of Desalination Brine On The Fecundity Of Brine Shrimp Artemia Franciscana Fed On Rice Bran, Khaled Madkour, Mahmoud A.O. Dawood, Patrick Sorgelos, Hani Sewilam

Faculty Journal Articles

No abstract provided.

Packets-To-Prediction: An Unobtrusive Mechanism For Identifying Coarse-Grained Sleep Patterns With Wifi Mac Layer Traffic, Dheryta Jaisinghani, Nishtha Phutela

Faculty Publications

A good night’s sleep is of the utmost importance for the seamless execution of our cognitive capabilities. Unfortunately, the research shows that one-third of the US adult population is severely sleep deprived. With college students as our focused group, we devised a contactless, unobtrusive mechanism to detect sleep patterns, which, contrary to existing sensor-based solutions, does not require the subject to put on any sensors on the body or buy expensive sleep sensing equipment. We named this mechanism Packets-to-Predictions(P2P) because we leverage the WiFi MAC layer traffic collected in the home and university environments to predict “sleep” and “awake” periods. …

Uni Schedule Of Classes: Policies And Procedures, Summer 2023, University Of Northern Iowa

UNI Schedule of Classes

A listing and schedule of the courses being taught as well as policies and procedures concerning attending classes at the University of Northern Iowa.

Crosssections, Summer 2023, University Of Northern Iowa. Department Of Physics.

CrossSections

Contents:

A Message from the Department Head, Dr. Paul Shand --- 1
Department Happenings --- 2
Faculty Profile: Andrew Stollenwerk --- 7
Student Profile: Lukas Stuelke --- 8
Student Focus: Jenna Heinen --- 11
Physics Education --- 13
Alumni Profile: Sam Prophet --- 14
Alumni News: Shawn Poellet --- 15
New Physics: Quantum Mechanics Must Be Complex --- 17

The Promise And Future Of Radiomics For Personalized Radiotherapy Dosing And Adaptation, Rachel B Ger, Lise Wei, Issam El Naqa, Jing Wang

Faculty, Staff and Student Publications

Quantitative image analysis, also known as radiomics, aims to analyze large-scale quantitative features extracted from acquired medical images using hand-crafted or machine-engineered feature extraction approaches. Radiomics has great potential for a variety of clinical applications in radiation oncology, an image-rich treatment modality that utilizes computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET) for treatment planning, dose calculation, and image guidance. A promising application of radiomics is in predicting treatment outcomes after radiotherapy such as local control and treatment-related toxicity using features extracted from pretreatment and on-treatment images. Based on these individualized predictions of treatment outcomes, radiotherapy …

Technology Takeover And Transformation: Humans Vs. Technology, Mikayla Tjeerdsma

Theses

When looking at the history of the fashion industry up to the present day, technology can easily distinguish the progress of fashion throughout the ages. The direction of this research is to gain insight and a deeper realization of how technology is taking over and transforming those in and revolving around fashion by slowly taking over and replacing human involvement or presence. Statistics and research show due to the adverse effects of COVID-19, technological development within fashion has seen a significant increase. COVID-19 was either the final push towards making technological ideas a reality or was the birth of new …

Outdoor Performance Of The Black Globe Temperature Sensor On A Hot And Humid Tropical Region, Juan A. Acero, Angela Dissegna, Yon Sun Tan, Adrian Tan, Leslie K. Norford

Research Collection School of Social Sciences

A crucial variable to evaluate thermal comfort is the mean radiant temperature (Tmrt). In this paper we evaluate the performance of the 150 mm black globe thermometer to provide reliable Tmrt values for outdoor settings in Singapore. Accurate Tmrt values are calculated by the method of integral radiation measurements. Based on these, the mean convection coefficient of the black globe has been re-calibrated. Results show an improvement in the estimation of Tmrt with the new coefficient in comparison with the default version suggested in ISO7726:1998. Increasing the averaging periods of the measured variables improved the performance of the derived mean …

Mird Pamphlet No 28, Part 1: Mirdcalc—A Software Tool For Medical Internal Radiation Dosimetry, Edmond A Olguin, Darrell R Fisher, Wesley E Bolch

Faculty, Staff and Student Publications

Medical internal radiation dosimetry constitutes a fundamental aspect of diagnosis, treatment, optimization, and safety in nuclear medicine. The MIRD committee of the Society of Nuclear Medicine and Medical Imaging developed a new computational tool to support organ-level and suborgan tissue dosimetry (MIRDcalc, version 1). Based on a standard Excel spreadsheet platform, MIRDcalc provides enhanced capabilities to facilitate radiopharmaceutical internal dosimetry. This new computational tool implements the well-established MIRD schema for internal dosimetry. The spreadsheet incorporates a significantly enhanced database comprising details for 333 radionuclides, 12 phantom reference models (International Commission on Radiological Protection), 81 source regions, and 48 target regions, …

Tribological Behavior Of Polydopamine/Polytetrafluoroethylene Coating On Laser Textured Stainless Steel With Hilbert Curves, Firuze Soltani-Kordshuli, Nathaniel Harris, Min Zou

Mechanical Engineering Faculty Publications and Presentations

Shallow Hilbert curve patterns with easily programmable texture density were selected for laser texturing of stainless steel substrates. Two different texture path segment lengths (12 and 24 mu m) and four different laser power percentages (5%, 10%, 15%, and 20%) were investigated. The textured and smooth substrates were coated with thin polydopamine/polytetrafluoroethylene (PDA/PTFE) coatings for tribological property assessment. The effects of texture density (texture area coverage) and laser power on the durability and friction of the coated surfaces were studied. Laser texturing the substrates improved the coating durability up to 25 times, reduced the friction coefficient, and prevented coating global …

Parenting During A Pandemic: Understanding The Impact Of Covid-19 On Early Childhood Development, Jessica A. Manes

Senior Theses

The early years of a child's life are crucial for their development, shaping their ability to process information, communicate, and form their identity. However, the COVID-19 pandemic disrupted essential elements necessary for optimal early childhood development, including quality education, nurturing environments, and social stimulation. This study explored how parents in South Carolina perceived the pandemic's impact on their children's development. Five themes emerged from the study. Firstly, remote work due to pandemic protocols significantly affected the parent-child relationship. Secondly, the family's socioeconomic status influenced their ability to cope with and protect their children from the pandemic's impact. Thirdly, isolation resulting …

Initiation Payments, Scott Hirst

Faculty Scholarship

Many of the central discussions in corporate governance, including those regarding proxy contests, shareholder proposals, and other activism or stewardship, can be understood as a single question: Is there under-initiation of corporate changes that investors would collectively prefer?

This Article sheds light on this question in three ways. First, the Article proposes a theory of investor initiation, which explains the hypothesis that there is under-initiation of collectively-preferred corporate change by investors. Even though investors collectively prefer that certain corporate changes take place, the costs to any individual investor from initiating such changes through high-cost proxy contests, or even low-cost shareholder …

Tennessee Farm Bureau News - July 2023, Tennessee Farm Bureau Federation

Tennessee Farm Bureau News

No abstract provided.

Design Of A Burst Mode Ultra High-Speed Low-Noise Cmos Image Sensor, Xin Yue

Dartmouth College Ph.D Dissertations

Ultra-high-speed (UHS) image sensors are of interest for studying fast scientific phenomena and may also be useful in medicine. Several published studies have recently achieved frame rates of up to millions of frames per second (Mfps) using advanced processes and/or customized processes.

This thesis presents a burst-mode (108 frames) UHS low-noise CMOS image sensor (CIS) based on charge-sweep transfer gates in an unmodified, standard 180 nm front-side-illuminated CIS process. By optimizing the photodiode geometry, the 52.8 μm pitch pixels with 20x20 μm^2 of active area, achieve a charge-transfer time of less than 10 ns. A proof-of-concept CIS was designed and …

Smokejumper Magazine, July 2023, National Smokejumper Association

Smokejumper and Static Line Magazines

Message from the President; Denali, the Great One—An Early Ascent of North America's Highest Peak; The Jump List; Motorcycles Are Not Approved for Packouts; Randy Hurst; Small Town Connections; Lost Horizons; Odds and Ends; Whites OFF The Breaks; Moose Tracks in the Timber; Notes from the Ranks; Sounding Off from the Editor; Jack Demmons Remembered; Fighting Wildfire During Extreme Burning Conditions; "Too Steep and Too Rough"; Off the List; Not Forgotten; Public Involvement; So - Is There a Fee?; Fire Jumps in One Season; The Legend of Black Water Canyon;

Contextualizing Search: An Analysis Of The Impacts Of Construal Level Theory, Mood, And Product Type On Search Engine Activity, Jackson Everitt Carter

Theses and Dissertations

This dissertation explores the world of search from the human perspective. While search engine research, both corporate and academic, has seen a growth in relevance in recent years, the relative novelty of the area in the advertising world means that many important questions remain unanswered. This work aims to expand the current state of search engine research by examining the combined impact of mood, construal level theory applications, and product type on search behavior. Additionally, this research seeks to examine psychophysiological responses from these interreacting frameworks using webcam eye-tracking technology, which was developed recently and has not been previously used …

Optimization Of Ultrawide Bandgap Semiconductor Materials For Heterostructure Field Effect Transistors (Hfets), Mohi Uddin Jewel

Theses and Dissertations

Ultra-wide bandgap (UWBG) gallium oxide (Ga2O3), and aluminum gallium oxide (Al_xGa_1-x)₂O₃ materials with bandgap E_G ≥ 4.8 eV are promising for heterostructure field effect transistors (HFETs) with high breakdown voltage and operating at high temperatures. Despite some initial breakthroughs in good quality β-Ga₂O₃ thin films growth on (001), (100), (010), and (201) β-Ga₂O₃ substrates, and promising results on β- (Al_xGa_1-x)₂O₃/β-Ga₂O₃ HFETs fabricated on (010) β-Ga₂O₃ substrates, heat dissipation in Ga2O3 materials and …

2023-2024 Academic Catalog, Saint Mary's College Of California

Academic Catalog

No abstract provided.