Digital Commons Network^™

Localized Multivariate Statistical Assessment Of United States Construction Labor Shortages, Ahmed Shiha, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Craft labor shortage is a persistent challenge facing the construction industry across various markets. The historically low geographic mobility of construction labor exacerbates and localizes labor shortages. Several research efforts relied on subjective evaluations to quantify the existence of labor shortages on a national level. As such, there is a lack of empirical quantification of labor shortages at different geospatial levels. This paper fills this knowledge gap. To this end, the authors adopted a methodology that encompassed: (1) conducting a literature review to identify and collect national-level and subnational indicators that explain the changes in labor supply and demand; (2) …

Comparative Nitrene-Transfer Chemistry To Olefins Mediated By First-Row Transition Metal Catalysts Supported By A Pyridinophane Macrocycle With N4 Ligation, Himanshu Bhatia, Lillian P. Adams, Ingrid Cordsiemon, Suraj Kumar Sahoo, Amitava Choudhury, Thomas R. Cundari, Pericles Stavropoulos

Chemistry Faculty Research & Creative Works

A 12-membered pyridinophane scaffold containing two pyridine and two tertiary amine residues is examined as a prototype ligand (^tBuN4) for supporting nitrene transfer to olefins. The known [(^tBuN4)M^II(MeCN)2]²⁺ (M = Mn, Fe, Co, and Ni) and [(^tBuN4)Cu^I(MeCN)]⁺ cations are synthesized with the hexafluorophosphate counteranion. The aziridination of para-substituted styrenes with PhI=NTs (Ts = tosyl) in various solvents proved to be high yielding for the Cu(I) and Cu(II) reagents, in contrast to the modest efficacy of all other metals. For α-substituted styrenes, aziridination is accompanied by products of aziridine …

Visceral, Neural, And Immunotoxicity Of Per- And Polyfluoroalkyl Substances: A Mini Review, Pietro Martano, Samira Mahdi, Tong Zhou, Yasmin Barazandegan, Rebecca Iha, Hannah Do, Joel Burken, Paul Ki-Souk Nam, Qingbo Yang, Ruipu Mu

Chemistry Faculty Research & Creative Works

Per- and polyfluoroalkyl substances (PFASs) have gained significant attention due to their widespread distribution in the environment and potential adverse health effects. While ingestion, especially through contaminated drinking water, is considered the primary route of human exposure, recent research suggests that other pathways, such as inhalation and dermal absorption, also play a significant role. This review provides a concise overview of the toxicological impacts of both legacy and emerging PFASs, such as GenX and perfluoro butane sulfonic acid (PFBS), with a particular focus on their effects on the liver, kidneys, and immune and nervous systems, based on findings from recent …

Outcomes And Resource Utilization In Hyperkalemic Emergency Department Patients Treated With Patiromer Or Sodium Zirconium Cyclosilicate, William Frank Peacock, Zubaid Rafique, Julie Gayle, James Neuenschwander, Harold Brown, Jennifer Kammerer, Jeffrey Budden, Ning Rosenthal

Faculty, Staff and Students Publications

OBJECTIVES: Hyperkalemia (HK) is a life-threatening condition commonly treated in emergency department (ED). Real-world outcomes associated with ED administration of potassium binders are limited. This study assessed ED discharge disposition and resource utilization in hyperkalemic ED patients treated with patiromer or sodium zirconium cyclosilicate (SZC).

METHODS: We performed a retrospective cohort study using discharge data from 230 hospitals in the Premier PINC AI Healthcare Database. ED patients were included if they were ≥18 years old, had potassium ≥5 mEq/L, and received patiromer/SZC during January 1, 2019 to December 31, 2021. Descriptive statistics and multivariable logistic regression analysis were used to …

Affinitytune: A Prompt-Tuning Framework For Few-Shot Anomaly Detection On Graphs, Jingyan Chen, Guanghui Zhu, Guansong Pang, Chunfeng Yuan, Yihua Huang

Research Collection School Of Computing and Information Systems

Graph anomaly detection (GAD) is a critical task with applications in domains such as networking, finance, and bioinformatics. % However, the scarcity of labeled anomalies and the limitations of unsupervised methods hinder effective detection. % While semi-supervised and few-shot learning approaches offer improvements, they struggle with knowledge transfer and rely heavily on labeled data. % Recent advancements in prompt tuning on graphs provide a promising direction, but their application to heterophilous graphs in anomaly detection remains underexplored. % In this work, we propose AffinityTune, a novel framework for few-shot graph anomaly detection based on prompt tuning. % Our approach introduces …

Llm2rec: Large Language Models Are Powerful Embedding Models For Sequential Recommendation, Yingzhi He, Xiaohao Liu, An Zhang, Yunshan Ma, Tat‑Seng Chua

Research Collection School Of Computing and Information Systems

Sequential recommendation aims to predict users' future interactions by modeling collaborative filtering (CF) signals from historical behaviors of similar users or items. Traditional sequential recommenders predominantly rely on ID-based embeddings, which capture CF signals through high-order co-occurrence patterns. However, these embeddings depend solely on past interactions, lacking transferable knowledge to generalize to unseen domains. Recent advances in large language models (LLMs) have motivated text-based recommendation approaches that derive item representations from textual descriptions. While these methods enhance generalization, they fail to encode CF signals-i.e., latent item correlations and preference patterns-crucial for effective recommendation. We argue that an ideal embedding model …

Role Of Social Media Mindfulness In Combatting Fake News Propagation, Gaurav Bansal, Fiona Fui-Hoon Nah, Jason B. Thatcher

Research Collection School Of Computing and Information Systems

The dissemination of fake news by social media users is a key factor in the escalation of misinformation. Research suggests that social media networks are becoming increasingly homophilic, which leads to an overreliance on social media friends that contributes to the spread of fake news. However, little is known about how social media mindfulness can reduce the sharing of fake news. To investigate this research question, we conceptualized a social media mindfulness construct and developed the social media mindfulness scale. We also hypothesize that social media mindfulness lowers overreliance on friends’ knowledge, which increases skepticism about social media news that …

Gnncontext: Gnn-Based Code Context Prediction For Programming Tasks, Xiaoye Zheng, Zhiyuan Wan, Shun Liu, Kaiwen Yang, David Lo, Xiaohu Yang

Research Collection School Of Computing and Information Systems

A code context model comprises source code elements and their relations relevant to a programming task. The capture and use of code context models in software tools can benefit software development practices, such as code navigation and search. Prior research has explored approaches that leverage either the structural information of code or interaction histories of developers with integrated development environments to automate the construction of code context models. However, these approaches primarily capture shallow syntactic and lexical features of code elements, with limited ability to capture contextual and structural dependencies among neighboring code elements. In this paper, we propose GNNContext, …

Exploring Rehabilitation Therapists' Knowledge And Perspectives On The Use Of Artificial Intelligence And Machine Learning For Persons Poststroke, Hannah Clark, Mia Delvecchio, Min Hun Lee, Elena D. Brown, Kaia Mikula, Robert Halyama, Kasey Stepansky

Research Collection School Of Computing and Information Systems

Research Objectives: The use of technology such as robotics, gaming systems, self-monitoring apps, or other sensor-based devices in standard practice is infrequent. Due to the rapid development of artificial intelligence (AI) and machine learning (ML) applications, it is important to look at how therapists perceive AI/ML, and design applications with potential barriers in mind. to support future integration into practice. The purpose of this research project is to gain rehabilitation therapists’ perspectives on AI/ML in post-stroke assessment and intervention.Design: This ongoing study uses a mixed methods design with surveys and focus groups. Participants engaged in a 30-minute webinar to learn …

Dreamanime: Learning Style-Identity Textual Disentanglement For Anime And Beyond, Chenshu Xu, Yangyang Xu, Huaidong Zhang, Xuemiao Xu, Shengfeng He

Research Collection School Of Computing and Information Systems

Text-to-image generation models have significantly broadened the horizons of creative expression through the power of natural language. However, navigating these models to generate unique concepts, alter their appearance, or reimagine them in unfamiliar roles presents an intricate challenge. For instance, how can we exploit language-guided models to transpose an anime character into a different art style, or envision a beloved character in a radically different setting or role? This paper unveils a novel approach named DreamAnime, designed to provide this level of creative freedom. Using a minimal set of 2-3 images of a user-specified concept such as an anime character …

If Alcohol Consumption Were Eliminated, Which Us Counties Would Still Experience High Rates Of Breast Cancer Among Women?, Hina Javed

Boise State University Theses and Dissertations

Background

Breast cancer is the most prevalent cancer among women in the United States, accounting for roughly one-third of all newly diagnosed female cancers (American Cancer Society, 2024). The risk factors for breast cancer include both non-modifiable and modifiable factors. Non-modifiable factors include age at menarche, early menstrual cycles and late menopause. Modifiable factors include smoking, diabetes, obesity and environmental factors such as air pollution. The interplay between lifestyle factors and environmental exposures in cancer development has long been debated. While alcohol consumption is widely recognized as a major breast cancer risk factor, the role of environmental exposure such as …

Integrating Uas And Satellite Data To Improve Classification Of Plant Functional Types In A Forest Landscape, Sky Mae Gennette

Boise State University Theses and Dissertations

Remotely sensed land-use/land-cover (LULC) data products are an important tool for understanding landscape processes at all scales. The types of inference researchers can derive from remote sensing data depend on the quality and characterization of these LULC products. Currently, gaps in the detail of widely available vegetation cover products limit inference about processes at the level of plant functional type (PFT). Advanced remote sensing tools, machine learning, and data fusion can be employed to contribute novel methods to produce detailed, accurate vegetation cover products. Here, we combine high resolution Unoccupied Aerial Systems (UAS) multispectral, structural and textural data with large-scale …

Preparing Pre-Service Teachers For Writing Instruction: Best-Practices And Insights Into Self-Efficacy, Lindsey Wiggins

Boise State University Theses and Dissertations

Many pre-service teachers (PSTs) report feeling under-prepared to teach writing, a challenge often linked to limited attention to writing instruction in teacher preparation programs (TPPs). While writing methods courses offer opportunities to build PSTs’ self-efficacy and pedagogical skill, questions remain about how to best structure these experiences and measure their impact. This three-article dissertation examines how PSTs develop self-efficacy for writing and writing instruction during teacher preparation and how those beliefs relate to instructional practices.

In Study I, I conducted a systematic literature review to examine how researchers measure the effects of effective writing and writing instruction interventions with elementary …

Engineering Properties And Stress-Strain Behavior Of Bcsa Concrete: Flexural Design Parameters, Strain Measurement Methods, And Models, Gabriel R. Johnson

Graduate Theses and Dissertations

Belitic calcium sulfoaluminate (BCSA) cement concrete has gained popularity due to advantages over portland cement (PC), including, its fast-setting, high early strength gain, high durability, and reduced global warming potential. Though primarily used for pavement repair, it has good potential for structural applications. Building codes like ACI 318:19 permit alternative cement materials like BCSA cement if they can be shown to have adequate and predictable structural, durability, and fire performance comparable to PC concrete. This study evaluates the structural and mechanical behavior of BCSA cement concrete, measuring standard engineering properties and comparing results to PC concrete and code prediction equations. …

The Role Of Managerial Support In Influencing The Attitudes Of Highly Educated Millennials In Serbia, Dimitrije Gasic, Vladimir Dzenopoljac, Mladen Cudanov, Jozsef Poor, Nemanja Berber

All Works

This study explores the influence of managerial support on the attitudes of highly educated (BSc, MSc, and PhD) millennials in Serbia, focusing on job satisfaction, turnover intention, and job stress. Understanding this relationship is crucial for enhancing employee retention and organisational efficiency given the evolving workplace dynamics. Managerial support, encompassing emotional, instrumental, and informational assistance, is hypothesised to positively impact job satisfaction while reducing turnover intention and job stress. Data were collected through an online survey from 367 respondents in two waves (the first wave in January 2024 and the second in July 2024) and analysed using partial least squares …

A Systematic Review Of School-Based Behavioral Interventions And The Symbolic Labor Of Inclusion For Children With Chronic Illness, Efthymia Efthymiou, Dimitra V. Katsarou, Maria Sofologi, Kalliopi Megari, Soultana Papadopoulou, Evangelos Mantsos, Salma Daiban

All Works

Background: Chronic illness affects children’s health and disrupts the spatial and temporal aspects of schooling by complicating attendance, interrupting learning routines, and exposing institutional rigidity. While many educational systems treat chronicity as an exception to be managed, this review reconceptualizes it as a pedagogical and symbolic challenge to normative assumptions about inclusion, care, and participation. Objective: To systematically examine how school-based behavioral and psychosocial interventions support children and adolescents with chronic health conditions (CHCs) in inclusive educational settings and to analyze what these interventions reveal about institutional practices of care and recognition. Methods: Following PRISMA 2020 guidelines, we conducted a …

Artificial Intelligence Integration And Teachers' Self-Efficacy In Physics Classrooms, Fouad Yehya, Areej Elsayary, Ghadah Al Murshidi, Ahmed Al Zaabi

All Works

The United Arab Emirates (UAE), in its vision 2021 and the UAE centennial 2071 plan, highlights the essential role of artificial intelligence (AI) and technology in shaping a knowledge-based, future-ready society. This study explores the integration of AI in physics classrooms, focusing on secondary education in the UAE. It also investigates the perceptions and self-efficacy of physics teachers regarding the use of AI tools in classroom settings. A qualitative research design was employed to gather in-depth insights from 15 physics teachers across schools in Sharjah, assessing their confidence and readiness for AI integration through the lens of the attitude and …

Youth Attitudes Towards The Effects Of Social Media Addiction A Study On University Students In The United Arab Emirates, Fokiya Akhtar, Fawzia Abdulla Alali

All Works

Objectives: This study aims to understand youth’s attitudes toward the effects of social media usage and its risk factors. It also investigates the impact of social media addiction on youth, and determines the mediating factors in this relationship, such as ‘FOMO’ (fear of missing out) and nocturnal social media usage. Methods :For the purpose of this research, 327 university students were surveyed using the Social Media Addiction Scale, the FOMO Scale, the Nocturnal Social Media Use Scale, and the Pittsburgh Sleep Index Scale. Results: The results reveal statistically significant correlations between high social media usage and adverse effects on mental …

Psilocybin And Death Anxiety: A Dual-Mechanism Approach To Existential Distress, Annabelle Swain

University Honors Theses

This literature review looks at how psilocybin, the active compound in "magic mushrooms," can help people deal with death anxiety; the deep fear of dying or losing control that shows up in lots of mental health struggles. While traditional treatments like SSRIs and talk therapy work for some people, they don't always get to the root of the problem. Psilocybin works differently. It changes brain activity, especially in networks tied to repetitive, self-focused thinking, as well as creates powerful, emotional experiences that help people rethink how they see life and death. This paper covers recent research showing how one or …

Birth Outcomes In The Hispanic Population In The United States: Trends, Variation, And Determinants (2011–2021), Yanchao Yang

Business Analytics Faculty Publications

Background: Cesarean section (C-section) is the most common surgical procedure in the United States, yet its use varies widely across regions and institutions. Although clinical risk factors are central to delivery decisions, geographic context, health system capacity, and local practice patterns may also influence C-section use. Understanding both the determinants and predictability of C-section delivery is important for improving obstetric quality and equity.

Objective: This study aims to document geographic variation in C-section use across the United States, identify maternal and county-level factors associated with C-section delivery, and evaluate the predictive performance of machine learning models across clinically defined risk …

Collaborative Action In Education: Empirical Explorations Of The Role Of Partnerships In College Readiness Programs, Jose A. Sanchez

Dissertations

Education gaps exist in the United States in large part because not everyone has equal access to the educational resources or role models that will prepare them to seek a college education. To help combat this phenomenon, Federal and State Governments have promoted college readiness programs via collaborative partnerships between school districts, on the one hand, and colleges and universities, on the other.

To better understand the role that partners can play in creating and sustaining college-readiness programs, this study focused on the history and current practices of collaborations involving oversight of college readiness programs in two school districts. Partnership …

Perceived Obligations Of Older Partners In Living-Apart Together Relationships, Allison M. Martin

Human Development and Family Sciences Undergraduate Honors Theses

Older and middle-aged adults are increasingly in Living-Apart-Together (LAT) relationships characterized by committed romantic relationships without marriage and cohabitation. Because of assumptions that older adults will receive family caregiving as they grow older and need caregiving, it is not clear how people are likely to perceive obligations to provide caregiving assistance. As adults move into old age and incidence rates of Alzheimer’s Disease or Related Dementia (ADRD) increase, questions about the availability of family members to provide needed assistance are complicated by LAT relationships. The purpose of this study was to examine perceived obligations to provide assistance to older adults …

Pediatric Occupational Therapists’ Perception On How Nature-Based Play Affects Fine Motor Development, Abbi M. Rosenow

Human Development and Family Sciences Undergraduate Honors Theses

This study aimed to explore the benefits of nature-based pediatric occupational therapy and the influence of nature and nature-based play on fine motor development. It was hypothesized that nature and nature-based play would positively impact a child’s fine motor skills, and that nature-based occupational therapy would offer unique benefits to a child’s therapeutic experience. To examine these relationships, a survey was distributed to pediatric occupational therapists across the United States. The survey was designed to gather insights into how occupational therapy supports fine motor development, how nature-based play/therapy enhances these skills, and the perceived benefits of incorporating nature into therapeutic …

Cholesterol Crystal Embolization Induced Kidney Disease, Shohan Pervaze, Shreya Mohandas, Pushkas Gopalan, Stephen A. Morse, Siddhartha Bajracharya, Landon A. Krone, Farshid Yazdi

School of Medicine Faculty Publications

Cholesterol crystal embolization (CCE) results from the release of cholesterol crystals from ruptured atherosclerotic plaques into circulation, resulting in the occlusion of small arteries and arterioles in various organs. Ischemia triggers a systemic inflammatory response resulting in vascular obstruction and organ dysfunction. Kidneys are often involved because of the proximity to the aorta and CCE in the kidneys can result in acute, sub-acute, or chronic kidney disease. There are many known risk factors for renal involvement of CCE, including iatrogenic and spontaneous causes. The pathophysiology of CCE includes complex pathways that lead to acute and chronic effects that can have …

The Impact Of Transformational Leadership On Leader Emotional Exhaustion And Patient Safety Culture: A Quantitative Study Devoted To Enhancing U.S. Healthcare Leaders, Katrina J. Wojciechowski

Education Doctoral

The United States (U.S.) healthcare system faces significant challenges, including high costs and disparities in access and quality of care. These issues were exacerbated by the COVID- 19 pandemic, which strained resources and staffing. Healthcare leaders must navigate the complexities of delivering care, managing costs, and ensuring high-quality, equitable healthcare services. Their role is crucial in transforming the healthcare system, driving change, and implementing innovations to enhance its effectiveness and efficiency. Equipping healthcare leaders with transformational leadership skills allows them to foster a culture of collaboration by inspiring and motivating teams to embrace change. This quantitative study aimed to (a) …

Development And Implementation Of An Ob/L&D Sbar Framework To Enhance Communication Between Obstetric Nurses And Anesthesia Providers: A Quality Improvement Initiative, Jenna E. Bigam, Laina J. Uzarski

Doctor of Nurse Anesthesia Practice (DNAP) Manuscripts

Effective communication between obstetric (OB) nurses and anesthesia providers is critical to ensure patient safety during epidural placements in labor and delivery (L&D) settings. At a large teaching hospital, communication gaps were identified when OB nurses requested anesthesia for epidural placements without consistently providing vital patient information. The lack of structured communication can result in important details being overlooked, which may lead to delays in care and potential patient harm. To address this, the SBAR (Situation, Background, Assessment, Recommendation) communication framework was implemented to standardize and improve information exchange. This Doctorate of Nurse Anesthesia Practice (DNAP) project aimed to enhance …

Prevalence And Risk Factors Of Gastroesophageal Reflux Disease Among Population Of Saudi Arabia: A Meta-Analysis, Waleed D. Khubzan, Dana O. Kaddah, Ola E. Alkhoshiban, Mirza H. Alkhater, Botool A. Alshahrani, Rama A. Alhatlani, Muntaha S. Alsulaimani, Dalal A. Elyas, Majed A. Almourgi

Saudi Medical Journal

ABSTRACT Objectives: To find how common gastroesophageal reflux disease (GERD) is in Saudi Arabia and to identify the main risk factors linked to it. Methods: We followed PRISMA guidelines and registered the study on PROSPERO (CRD42025637142). A full literature search was done across PubMed, MEDLINE, and Google Scholar up to December 2024. Two reviewers independently reviewed the results. We assessed the risk of bias using the JBI critical appraisal tool and evaluated potential reporting bias through Egger’s test. To determine the overall prevalence and key contributing risk factors, we conducted a meta-analysis utilizing a random-effects approach. We also did subgroup …

Green Growth Is A Pathway To Sustainable Development: An Empirical Study Of Saudi Green Initiative, Reema Gh. Alajmi

Journal of Economics and Administrative Sciences

For climate change adaptation and mitigation, a sustainable transition to green growth is essential. The aim of this study is to evaluate green growth indicators using three methods to assess the situation of green growth in Saudi Arabia. The vector error correction model (VECM) was used to estimate the relationship between electricity generation and carbon emissions (CO2), and then examine the mitigation scenario, followed by analysing Saudi green growth indicators versus Organisation for Economic Co-operation and Development (OECD) indicators. The results indicate carbon emissions are influenced by the GDP and electricity generation in Saudi Arabia. Environmental scenarios findings indicate that …

Predicting Continuous Hand Pose From Wearable Emg Sensor Data Using Transformer-Based Deep-Learning Models, Jason Mcdowell

Masters Theses and Doctoral Dissertations

This thesis investigated Transformer-based deep-learning models for predicting continuous hand pose from electromyography (EMG) signals collected with a low-cost, eight-channel wearable armband. A modular software laboratory was developed to support data acquisition, synchronization, visualization, model training, and inference. A single-subject, three-hour dataset of synchronized EMG and hand-tracking data was collected, with hand pose represented both as 15-dimensional joint flexion angles and 84-dimensional finger-bone orientation quaternions in a hand-centered frame. Compared with a Long Short-Term Memory (LSTM)-based model, the Transformer-based model reduced whole-hand median prediction error from 3.6° to 3.3° for a joint angle model and from 17.4° to 15.1° for …

Density Functional Theory Modeling Of Heterogeneous Reactions Of Hydrocarbon Intermediates On Silicon Carbide: Surrogate Kinetic Model Development For Chemical Vapor Infiltration, Atal Bhowmik

Masters Theses and Doctoral Dissertations

This study investigates the decomposition mechanism of Methyl trichlorosilane during Silicon Carbide deposition from Chemical Vapor Infiltration to produce SiC-based ceramic matrix composites. High-performance applications require SiC-based materials; however, producing them presents difficulties due to limited deposition rates, high energy consumption, and uneven coatings. To overcome these challenges, the mechanism of SiC formation needed to be understood completely. Modeling surface reactions of decomposition on the substrate using Density Functional Theory is the key point of current research. By focusing on the adsorption, reaction, and desorption mechanisms that control SiC development, our method incorporates quantum mechanical models. Using Transition State Theory, …