Digital Commons Network^™

Steven Wallace Hart, Appellant, V. State Of Utah, Appellee.: Appellant’S Reply Brief

Utah Appeals Court Briefs

On appeal from a conviction of two counts of dealing in material harmful to a minor, a third -degree felony, in the Fourth Judicial District Court, Utah County, the Honorable Roger W. Griffin presiding

State Of Utah, Plaintiff / Appellee, V. Tianikumi Finau, Defendant / Appellant.: Appellant’S Reply Brief

Utah Appeals Court Briefs

Appeal from convictions for three counts of forcible sexual abuse and one count of tampering with a witness, all second- degree felonies, in the Third Judicial District, Salt Lake County, the Honorable James Gardner presiding

Shared Decision-Making During Virtual Care Regarding Rheumatologic And Chronic Conditions: Qualitative Study Of Benefits, Pitfalls, And Optimization, Lisa Zickuhr, Catherine Mccarthy, Emma Nolan-Thomas, Tiffany Westrich-Robertson, Elizabeth A Baker, Janice L Hanson

2020-Current year OA Pubs

OBJECTIVE: Virtual care (VC) is an accepted modality of care delivery, and shared decision-making (SDM) benefits patients with rheumatologic and chronic conditions (RCCs). Unfortunately, research suggests reduced quality of SDM during VC. This study explores the benefits and shortcomings of SDM regarding RCCs during VC with suggestions for optimally using VC during SDM.

METHODS: Following Stiggelbout's framework for SDM, we conducted focus groups of patients with RCCs and providers to understand their experiences with SDM during VC, probing for facilitating and challenging factors. We conducted content analysis of the transcripts, defining themes, and inductively reasoned to identify relationships among themes. …

Biopsychosocial Factors Associated With Pain And Pain-Related Outcomes In Adults And Children With Sickle Cell Disease: A Multivariable Analysis Of The Grndad Multicenter Registry, Martha O Kenney, Sana Saif Ur Rehman, Et Al.

2020-Current year OA Pubs

Pain is the primary symptomatic manifestation of sickle cell disease (SCD), an inherited hemoglobinopathy. The characteristics that influence pain experiences and outcomes in SCD are not fully understood. The primary objective of this study was to use multivariable modeling to examine associations of biopsychosocial variables with a disease-specific measure of pain interference known as pain impact. We conducted a secondary analysis of data from the Global Research Network for Data and Discovery national SCD registry. A total of 657 children and adults with SCD were included in the analysis. This sample was 60% female with a median age of 34 …

A Global Multicohort Study To Map Subcortical Brain Development And Cognition In Infancy And Early Childhood, Ann M Alex, Kelly Botteron, Et Al.

2020-Current year OA Pubs

The human brain grows quickly during infancy and early childhood, but factors influencing brain maturation in this period remain poorly understood. To address this gap, we harmonized data from eight diverse cohorts, creating one of the largest pediatric neuroimaging datasets to date focused on birth to 6 years of age. We mapped the developmental trajectory of intracranial and subcortical volumes in ∼2,000 children and studied how sociodemographic factors and adverse birth outcomes influence brain structure and cognition. The amygdala was the first subcortical volume to mature, whereas the thalamus exhibited protracted development. Males had larger brain volumes than females, and …

A Neural Mechanism For Conserved Value Computations Integrating Information And Rewards, Ethan S Bromberg-Martin, Yang-Yang Feng, Takaya Ogasawara, J Kael White, Kaining Zhang, Ilya E Monosov

2020-Current year OA Pubs

Behavioral and economic theory dictate that we decide between options based on their values. However, humans and animals eagerly seek information about uncertain future rewards, even when this does not provide any objective value. This implies that decisions are made by endowing information with subjective value and integrating it with the value of extrinsic rewards, but the mechanism is unknown. Here, we show that human and monkey value judgements obey strikingly conserved computational principles during multi-attribute decisions trading off information and extrinsic reward. We then identify a neural substrate in a highly conserved ancient structure, the lateral habenula (LHb). LHb …

Is Multidimensional Poverty Associated To Dementia Risk? The Case Of Older Adults In Pakistan, Jean-François Trani, Yiqi Zhu, Soobin Park, Ganesh M Babulal

2020-Current year OA Pubs

BACKGROUND AND OBJECTIVES: Multidimensional poverty is associated with dementia. We aimed at establishing this association in Pakistan.

RESEARCH DESIGN AND METHODS: A cross-sectional study was conducted in Punjab and Sindh, Pakistan, between March 30, 2002, and August 22, 2022, among adults aged 50 and older. Multidimensional poverty measures were composed of 6 dimensions and 15 indicators. Poverty was compared between adults with and without dementia using the Rowland Universal Dementia Assessment Scale, adjusting for sex, age, marital status, and household size. Associations between dementia and poverty were investigated using a multivariate logistic regression model.

RESULTS: We found that 594 (72.7%), …

The Forkhead Transcription Factor Foxj1 Controls Vertebrate Olfactory Cilia Biogenesis And Sensory Neuron Differentiation, Dheeraj Rayamajhi, Steven L. Brody, Et Al.

2020-Current year OA Pubs

In vertebrates, olfactory receptors localize on multiple cilia elaborated on dendritic knobs of olfactory sensory neurons (OSNs). Although olfactory cilia dysfunction can cause anosmia, how their differentiation is programmed at the transcriptional level has remained largely unexplored. We discovered in zebrafish and mice that Foxj1, a forkhead domain-containing transcription factor traditionally linked with motile cilia biogenesis, is expressed in OSNs and required for olfactory epithelium (OE) formation. In keeping with the immotile nature of olfactory cilia, we observed that ciliary motility genes are repressed in zebrafish, mouse, and human OSNs. Strikingly, we also found that besides ciliogenesis, Foxj1 controls the …

Passive Magnetic-Free Broadband Optical Isolator Based On Unidirectional Self-Induced Transparency, Haodong Wu, Jianshan Tang, Miangyuan Chen, Min Xiao, Yanqing Lu, Keyu Xia, Franco Nori

Physics Faculty Publications and Presentations

Achieving a broadband nonreciprocal device without gain and any external bias is very challenging and highly desirable for modern photonic technologies and quantum networks. Here we theoretically propose a passive and magnetic-free all-optical isolator for a femtosecond laser pulse by exploiting a new mechanism of unidirectional self-induced transparency, obtained with a nonlinear medium followed by a normal absorbing medium at one side. The transmission contrast between the forward and backward directions can reach 14.3 dB for a 2π − 5 fs laser pulse. The 20 dB bandwidth is about 56 nm, already comparable with a magneto-optical isolator. This work provides …

Pralsetinib In Patients With Advanced/Metastatic Rearranged During Transfection (Ret)-Altered Thyroid Cancer: Updated Efficacy And Safety Data From The Arrow Study, Vivek Subbiah, Douglas Adkins, Et Al.

2020-Current year OA Pubs

No abstract provided.

Shades Of Service: Navigating Racial Diversity, Mental Health, And Occupational Stress Among Black Police Officers, Manina Jeudy

Theses and Dissertations

This study was conducted to learn about the unique challenges Black police officers face by exploring their lived experiences. This study looked at how these current and retired Black police officers navigate racial diversity, handle occupational stress and how their mental health is affected. The research was prompted by the lack of existing literature that focuses specifically on the lived experiences of Black police officers, as most studies of policing do not address this population in depth. Through Zoom interviews with a small group of officers, this study revealed their struggles at work and in their personal lives. By sharing …

A Descriptive Study Of The Perception Of Emerging Adults Aged 18-25 Years Toward Police Efficacy And Image In The United States, Jude Louis

Theses and Dissertations

The purpose of this study was to investigate the perceptions of emerging adults toward police efficacy and image. The study was descriptive, used quantitative methodology, and utilized a non-experimental design. Close-ended questions were used in an online format to survey emerging adults aged 18-25 years in the United States. The data was collected using the SurveyMonkey Audience, which was relatively cost-effective, able to gather information from the target audience within a short period of time, and efficient with any sample size. The study occurred over two months in 2024. Emerging adults in the United States aged 18-25 years irrespective of …

Pastoral Burnout: Causes, Consequences And Closure, Hyveth A. Williams

Faculty Publications

Pastoral burnout is a growing concern among religious leaders in North America, with significant consequences for both individuals and congregations. No denomination is unaffected by its debilitating presence; even Seventh-day Adventist clergy are not immune to this increasing stress-related twenty-first century health malady. Several factors contribute to pastoral burnout, including excessive workload, unrealistic expectations, lack of support, and boundary violations. These aspects often lead to emotional exhaustion, depersonalization, reduced personal accomplishment, and though rare, suicide. This presentation will explore the causes, consequences, and suggested conclusion with potential strategies for intervention and prevention of pastoral burnout.

The Value Of Play In An International Baccalaureate Primary Years Program Preschool Classroom, Colin Bryce Howell

All Electronic Theses and Dissertations

This work sought to further understand the benefits and consequences of play in early childhood settings. Benefits included brain development stimulation, improvement in intelligence, a boost in personal creative thinking, bolstered communication skills and social emotional regulation abilities, better social competence, improved physical and mental health, increased problem solving skills, and strengthened relationships. Varying types of play provide valuable data points as to the critical importance of play in the development of young children. Research continues to suggest a strong link between the efficacy of purposeful play and the correlating benefits of children’s growth and development in key areas. These …

Restorative Practices Lead To Turnaround: Presbyterian Churches In Nebraska, Regina Claudette Jeanpierre-Bryant

All Electronic Theses and Dissertations

This thesis project examines the Gospel of Luke for restorative practices Jesus used when ministry was hard. Jesus is projected in this study as a self-differentiated leader who was victorious in His ministry because He relied on the Holy Spirit, Scripture, and Prayer as restorative practices when He was faced challenges. It also includes an evaluation of current literature on declining/failing churches and turnaround churches. Qualitative research was conducted using research instruments comprised of interviews with three Nebraskan Presbyterian pastors and a survey of members of a Nebraskan Presbyterian congregation. This research was designed so that it may encourage churches …

Effective Programming And Instruction For Students With Social And Behavioral Needs, Anna S. Cook

All Electronic Theses and Dissertations

Providing special education services to students with Emotional Behavioral Disorders (EBD) can be especially complex. EBD students often display academic deficits which are compounded by difficult behaviors and result in many students lagging 1-2 grade levels behind their peers. If not addressed adequately, the combined skill and behavioral challenges continue into adulthood and lead to troubling outcomes such as higher rates of unemployment, dysfunctional relationships, and negative encounters with the legal system. Early and consistent effective intervention is critical to benefit EBD students across academic and social-emotional domains to facilitate as much appropriate inclusion as possible. This review examines: the …

2024-2025 Usf Libraries Annual Report, Usf Libraries

Library Annual Reports

No abstract provided.

Underlying Substrate Effect On Electrochemical Activity For Hydrogen Evolution Reaction With Low-Platinum-Loaded Catalysts, Baleeswaraiah Muchharla, Peter V. Sushko, Kishor K. Sadasivuni, Wei Cao, Akash Tomar, Hani Elsayed-Ali, Adetayo Adedeji, Abdennaceur Karoui, Joshua M. Spurgeon, Bijandra Kumar

Electrical & Computer Engineering Faculty Publications

Platinum is known as the best catalyst for the hydrogen evolution reaction (HER) but the scarcity and high cost of Pt limit its widespread applicability. Herein, the role of the underlying substrate on the HER activity of dispersed Pt atoms is uncovered. A direct current magnetron sputtering technique is utilized to deposit transition metal (TM) thin films of W, Ti, and Ta as underlying substrates for extremely low loading of Pt (

Sub-Band Backdoor Attack In Remote Sensing Imagery, Kazi Aminul Islam, Hongyi Wu, Chunsheng Xin, Rui Ning, Liuwan Zhu, Jiang Li

Electrical & Computer Engineering Faculty Publications

Remote sensing datasets usually have a wide range of spatial and spectral resolutions. They provide unique advantages in surveillance systems, and many government organizations use remote sensing multispectral imagery to monitor security-critical infrastructures or targets. Artificial Intelligence (AI) has advanced rapidly in recent years and has been widely applied to remote image analysis, achieving state-of-the-art (SOTA) performance. However, AI models are vulnerable and can be easily deceived or poisoned. A malicious user may poison an AI model by creating a stealthy backdoor. A backdoored AI model performs well on clean data but behaves abnormally when a planted trigger appears in …

Decompositions Of Nonlinear Input-Output Systems To Zero The Output, W. Steven Gray, Kurusch Ebrahimi-Fard, Alexander Schmeding

Electrical & Computer Engineering Faculty Publications

Consider an input–output system where the output is the tracking error given some desired reference signal. It is natural to consider under what conditions the problem has an exact solution, that is, the tracking error is exactly the zero function. If the system has a well defined relative degree and the zero function is in the range of the input–output map, then it is well known that the system is locally left invertible, and thus, the problem has a unique exact solution. A system will fail to have relative degree when more than one exact solution exists. The general goal …

Different Visions From Biosview: A Brief Report, Lucas N. Potter, Xavier-Lewis Palmer

Electrical & Computer Engineering Faculty Publications

In this collaborative research endeavor at the intersection of biological safety and cybersecurity for BiosView labs, the authors highlight their engagement with a diverse student cohort. The chapter delves into the motivation behind collaborations extending beyond traditional academic research environments, emphasizing inclusivity. The meticulous examination of student demographics, including gender, self-reported ethnicity, and national origin, is detailed in the methodology. A student-centric approach is central to the exploration, focusing on aligning teaching and management styles with unique student needs. The chapter elaborates on effective teaching methodologies and management practices tailored for BiosView labs. A dedicated section emphasizes the purpose of …

Domain Adaptive Federated Learning For Multi-Institution Molecular Mutation Prediction And Bias Identification, W. Farzana, M. A. Witherow, I. Longoria, M. S. Sadique, A. Temtam, K. M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

Deep learning models have shown potential in medical image analysis tasks. However, training a generalized deep learning model requires huge amounts of patient data that is usually gathered from multiple institutions which may raise privacy concerns. Federated learning (FL) provides an alternative to sharing data across institutions. Nonetheless, FL is susceptible to a few challenges including inversion attacks on model weights, heterogenous data distributions, and bias. This study addresses heterogeneity and bias issues for multi-institution patient data by proposing domain adaptive FL modeling using several radiomics (volume, fractal, texture) features for O6-methylguanine-DNA methyltransferase (MGMT) classification across multiple institutions. The proposed …

Using Feature Selection Enhancement To Evaluate Attack Detection In The Internet Of Things Environment, Khawlah Harahsheh, Rami Al-Naimat, Chung-Hao Chen

Electrical & Computer Engineering Faculty Publications

The rapid evolution of technology has given rise to a connected world where billions of devices interact seamlessly, forming what is known as the Internet of Things (IoT). While the IoT offers incredible convenience and efficiency, it presents a significant challenge to cybersecurity and is characterized by various power, capacity, and computational process limitations. Machine learning techniques, particularly those encompassing supervised classification techniques, offer a systematic approach to training models using labeled datasets. These techniques enable intrusion detection systems (IDSs) to discern patterns indicative of potential attacks amidst the vast amounts of IoT data. Our investigation delves into various aspects …

Quest For An Optimal Spin-Polarized Electron Source For The Electron-Ion Collider, J. Biswas, E. Wang, O. Rahman, J. Sharitka, K. Kisslinger, Adam Masters, S. Marsillac, T. Lee

Electrical & Computer Engineering Faculty Publications

Superlattice GaAs photocathodes play a crucial role as the primary source of polarized electrons in various accelerator facilities, including the Continuous Electron Beam Accelerator Facility (CEBAF) at Jefferson National Laboratory and the Electron-Ion Collider (EIC) at Brookhaven National Laboratory. To increase the quantum efficiency (QE) of GaAs/GaAsP superlattice photocathodes, a Distributed Bragg Reflector (DBR) is grown underneath using metal-organic chemical vapor deposition (MOCVD). There are several challenges associated with DBR photocathodes: the resonance peak may not align with the emission threshold of around 780 nm, non-uniform doping density in the top 5 nm may significantly impact QE and spin polarization, …

Positive Airway Pressure And Mask Factors Affective Adherence In Patients With Obstructive Sleep Apnea, Rutvi Sheth, Michel Audette, Soham Sheth

Electrical & Computer Engineering Faculty Publications

Purpose: Sleep apnea is a major risk factor for cardiovascular disorders. CPAP (Continuous Positive Airway Pressure) therapy is the main treatment for sleep apnea. However, adherence with CPAP remains a concern. Although there are various factors attributed to failure of CPAP therapy, mask related factors are not well studied.

Methods: The study recruited patients with obstructive sleep apnea using CPAP from neurology outpatient clinic at Progressive Neurology and Sleep Center. An IRB (Institutional Review Board) approved questionnaire was administered to evaluate factors affecting CPAP compliance.

Results: The study recruited 24 patients. It showed that almost 50% of the patients did …

Deapsecure Computational Training For Cybersecurity: Progress Toward Widespread Community Adoption, Wirawan Purwanto, Bahador Dodge, Karina Arcaute, Masha Sosonkina, Hongyi Wu

Electrical & Computer Engineering Faculty Publications

The Data-Enabled Advanced Computational Training Program for Cybersecurity Research and Education (DeapSECURE) is a non-degree training consisting of six modules covering a broad range of cyberinfrastructure techniques, including high performance computing, big data, machine learning and advanced cryptography, aimed at reducing the gap between current cybersecurity curricula and requirements needed for advanced research and industrial projects. Since 2020, these lesson modules have been updated and retooled to suit fully-online delivery. Hands-on activities were reformatted to accommodate self-paced learning. In this paper, we summarize the four years of the project comparing in-person and on-line only instruction methods as well as outlining …

Beyond Binary: Revealing Variations In Islamophobic Content With Hierarchical Multi-Class Classification, Esraa Aldreabi, Khawlah M. Harahsheh, Mukul Dev Chhangani, Chung-Hao Chen, Jeremy Blackburn

Electrical & Computer Engineering Faculty Publications

In the digital age, the rise of Islamophobia-marked by an irrational fear or discrimination against Islam and Muslims-has emerged as a pressing issue, especially on social media platforms. In this paper we employs a multi-class classification system, moving beyond traditional binary models. We categorize Islamophobic content into three main classes and various subclasses, covering a range from subtle biases to explicit incitement. Comparative analysis of data from Reddit and Twitter illuminates the distinct prevalence and types of Islamophobic content specific to each platform. This paper deepens our understanding of digital Islamophobia and provides insights for crafting targeted online counter strategies. …

Adversarial Training Based Domain Adaptation Of Skin Cancer Images, Syed Qasim Gilani, Muhammad Umair, Maryam Naqvi, Oge Marques, Hee-Cheol Kim

Electrical & Computer Engineering Faculty Publications

Skin lesion datasets used in the research are highly imbalanced; Generative Adversarial Networks can generate synthetic skin lesion images to solve the class imbalance problem, but it can result in bias and domain shift. Domain shifts in skin lesion datasets can also occur if different instruments or imaging resolutions are used to capture skin lesion images. The deep learning models may not perform well in the presence of bias and domain shift in skin lesion datasets. This work presents a domain adaptation algorithm-based methodology for mitigating the effects of domain shift and bias in skin lesion datasets. Six experiments were …

Toward Inclusivity: Rethinking Islamophobic Content Classification In The Digital Age, Esraa Aldreabi, Mukul Dev Chhangani, Khawlah M. Harahsheh, Justin M. Lee, Chung-Hao Chen

Electrical & Computer Engineering Faculty Publications

In this paper, we implement a comprehensive three-class system to categorize social media discussions about Islam and Muslims, enhancing the typical binary approach. These classes are: I) General Discourse About Islam and Muslims, II) Criticism of Islamic Teachings and Figures, and III) Comments Against Muslims. These categories are designed to balance the nuances of free speech while protecting diverse groups like Muslims, ex-Muslims, LGBTQ+ communities, and atheists. By utilizing machine learning and employing transformer-based models, we analyze the distribution and characteristics of these classes in social media content. Our findings reveal distinct patterns of user engagement with topics related to …

Runtime Performance Of Gamess Quantum Chemistry Application Offloaded To Gpus, Masha Sosonkina, Gabriel Mateescu, Peng Xu, Tosaporn Sattasathuchana, Buu Pham, Mark S. Gordon, Sarom S. Leang

Electrical & Computer Engineering Faculty Publications

Computational chemistry is at the forefront of solving urgent societal problems, such as polymer upcycling and carbon capture. The complexity of modeling these processes at appropriate length and time scales is mainly manifested in the number and types of chemical species involved in the reactions and may require models of several thousand atoms and large basis sets to accurately capture the chemical complexity and heterogeneity in the physical and chemical processes. The quantum chemistry package General Atomic and Molecular Electronic Structure System (GAMESS) has a wide array of methods that can efficiently and accurately treat complex chemical systems. In this …