Digital Commons Network^™

Nurses' Perceptions Of Their Non-Technical Skills In Recognising And Responding To Clinical Deterioration In Hospital Settings: A Systematic Review, Darlene Archer, Amineh Rashidi, Rajbeer Kaur, Allison Roderick, Olivia Gallagher

Research outputs 2022 to 2026

Aim: To understand nurses' perceptions of non-technical skills in recognising and responding to clinical deterioration in hospital settings.

Design: A mixed methods systematic review was undertaken, guided by the Joanna Briggs Institute Manual for Evidence Synthesis.

Methods: A systematic search of the primary research literature published between 2012 and October 2025 was undertaken. A convergent integrated approach to synthesis, without meta-analysis, was undertaken.

Data Sources: The MEDLINE, CINAHL, Scopus, PsychInfo and Embase electronic databases were searched. Reference lists of full-text articles retrieved were reviewed for additional data sources.

Results: Twenty-four primary studies were included. Narrative synthesis resulted in six main …

Practising Digital Product Passport For Circular Supply Chain: Ecosystem Orchestration Perspective, Martin Agyemang, Daniel Faibil, Richard Asante, Cristina Iodice

Research outputs 2022 to 2026

Digital product passports (DPP) are emerging as an important tool to support industries in realising circular supply chain (CSC) practices. However, small and medium-sized enterprises (SMEs) remain constrained by various challenges in implementing DPP. Therefore, using social practice theory and ecosystem orchestration perspective, the study identifies factors essential for DPP-enabled CSC implementation by SMEs. The study proposes an actionable framework to classify and operationalise these factors. We collected data from managers and analysed it using the Best–Worst Method and Fuzzy-DEMATEL to understand the interdependence, coordination and temporal adaptation of the factors. The findings show that material factors are particularly salient …

Relationships Between Physical Performance Characteristics And Match Characteristics Of English Academy Soccer Players, B. Dickinson, P. Jones, P. Comfort

Research outputs 2022 to 2026

The aim of this study was to determine the relationships between physical performance and match characteristics of Elite academy soccer players using pooled data across U15, U16, U18, U23 age groups. Sixty elite academy soccer players including u15 (Subject: N = 15; age: 14.64 ± 0.25; mass: 59.88 ± 9.12 kg; height: 171 ± 6.69 cm), u16 (Subject: N = 15; age: 15.42 ± 0.36; mass: 65.11 ± 8.70 kg; height: 175 ± 7.21 cm), u18 (Subject: N = 15; age: 17.00 ± 1.00; mass: 72.85 ± 7.43 kg; height: 179 ± 6.43 cm), u23 (Subject: N = 15; age: …

Women Are Discriminated Against On The Basis Of Sex: Anti-Trans Epistemologies In Australian Universities, Emily M. Gray, Jacqueline Ullman, Mindy Blaise

Research outputs 2022 to 2026

This article offers an analysis of qualitative data from a multi-phased project entitled Understanding and Addressing Everyday Sexisms in Australian Universities. The project’s key aim was to improve the ways in which gender-based discrimination is understood and addressed in Australian universities. It achieved this aim through adopting a situated, intersectional, and creative approach to data generation and analysis. The authors examine data from phase three of the project, a large-scale survey that was distributed across 12 of Australia’s 39 public universities, yielding 1257 responses. The survey was designed to encourage academic staff of all genders to participate and aimed to …

Exploring New Poly-Anion Based Materials For Lithium – Ion Battery Cathodes, Sutapa Bhattacharya

Doctoral Dissertations

The escalating global demand for sustainable energy storage solutions has driven intensive research into novel electrode materials. Polyanion-based cathode materials have emerged as promising candidates due to their structural stability, safety, and voltage tunability enabled by the inductive effect of polyanionic groups. This research explores the synthesis, crystal structure, and electrochemical performance of new polyanion-based cathode materials featuring vanadium, molybdenum, and iron within phosphate and selenite frameworks.

Novel selenite-based materials, such as LiFe(SeO₃)₂ and Li₀.₂₅V₂O₃(SeO₃)₂, were synthesized and characterized, revealing stable electrochemical cycling associated with Fe2+/Fe3+ and V⁴⁺/V⁵⁺ transitions. Additionally, a systematic investigation was conducted on molybdenum phosphate compounds, including …

Zirconium Carbide Based Materials For Extreme Aerospace Environments, Nathaniel Hyman Blatt

Doctoral Dissertations

This research focuses on the processing and properties of zirconium carbide-based materials to promote their use in extreme environment aerospace applications, including nuclear thermal propulsion and hyper sonics. Several carbide systems including ZrC, ZrC-Mo cermets, (Zr, Nb)C, and a high entropy carbide were developed. The ZrC-Mo cermet was studied extensively to understand the effect of starting carbide grain size on the final microstructure, composition, elastic moduli, hardness, fracture toughness, room and elevated temperature flexural strength, thermal diffusivity, electrical resistivity, thermal expansion coefficient, and thermal conductivity. It was shown that heat transport in the cermets was dominated by the ZrC phase …

Trust-Aware Algorithms For Stackelberg Ground Vehicle Routing, Doris Evelyn Meredith Brown

Doctoral Dissertations

Despite decades of research focused on reducing ground vehicle traffic congestion, urban traffic networks worldwide continue to experience traffic flows that lead to increased network travel times, largely resulting from the routing decisions of individual vehicles. To address this challenge, this work leverages a Stackelberg game framework to model the interaction between a vehicle agent and a routing authority as a leader–follower game, in which the routing authority proposes routing interventions to which the agent responds. This research contributes to existing traffic mitigation literature by exploring the role of trust in route decision-making and providing trust-aware algorithms that influence vehicle …

Essays On Accelerated Failure Time Models For Recurrent Event Data, Emmanuel Masavo Djegou

Doctoral Dissertations

Recurrent event data arise in many fields such as medicine, reliability, insurance, and economics, where the same event may occur repeatedly for a subject. Accelerated Failure Time (AFT) models provide an intuitive framework for relating covariates to event times and offer a useful alternative to proportional hazards models, allowing direct prediction of event timing under right censoring. However, existing AFT extensions for recurrent events, such as accelerated gap time (AGT) models, often fail to account for interventions between events and may not capture complex temporal patterns.

In this work, we first propose a class of semiparametric AGT models incorporating an …

International Law And The Defense Of Political Prisoners And Prisoners Of Conscience, Judith Abitan

Fordham International Law Journal

The international community continues to witness a concerning trend of political repression and unjust incarceration of dissidents, including political opposition members, activists, intellectuals, academics, journalists, and human rights defenders. From authoritarian regimes to democratic nations, the suppression of dissenting voices has become prevalent. As fundamental rights and freedoms are increasingly violated, the strengthening and enforcement of international legal frameworks become even more essential to sustain the rules-based international order. Against the backdrop of geopolitical tensions, shifting power dynamics, and evolving interpretations of sovereignty, the examination of international legal instruments and mechanisms becomes not only a matter of scholarly inquiry but …

The Wto Is Dead, Long Live The Wto: The Lingering Interpretive Problem Of Article 27.1 Of The Trips Agreement, Faisal Chaudhry

Fordham International Law Journal

No abstract provided.

Evaluating The Use Of Machine Learning For Road Maintenance Cost Estimation, Shahla Shirinzad, David Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

Accurate estimation of highway maintenance costs is essential for efficient resource allocation and long-term infrastructure sustainability. This study evaluates the effectiveness of advanced machine learning models, including ResNet, Transformer, and other neural network architectures, for forecasting maintenance costs using historical data from the Highway Maintenance Improvement Program (HMIP) provided by the North Carolina Department of Transportation (NC DOT). A comprehensive comparative analysis is conducted across multiple models using standard performance metrics, including R², MAE, RMSE, and MSE. The results demonstrate that advanced architectures, particularly ResNet and Transformer, consistently outperform traditional statistical approaches and baseline machine learning models, achieving …

Solving High-Dimensional Differential Equations Using Recurrent And Residual Neural Network Architectures, Hind Khaled Kolaib

Knowledge Engineering and Data Science

High-dimensional Partial Differential Equations (PDEs) form the foundation of complex process modeling in various scientific and engineering applications, including finance, physics, and optimal control. However, classical numerical methods are adversely affected by the curse of dimensionality, making them inapplicable for large-scale problems. Recently, however, deep learning-based approaches have provided a new toolbox for these high-dimensional PDEs, including methods such as the Deep Backward Stochastic Differential Equation (Deep BSDE) method. Our approach draws on a more sophisticated deep learning backbone, using neural networks (in our case, a Residual Neural Network and a Long Short-Term Memory network (LSTM) integrated into the Deep …

Deep Learning Based High-Resolution Electromagnetic Inversion Imaging Using Deep Convolutional Double-Module Structure, He Ming Yao, Shiji Song, Lijun Jiang, Michael Ng

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a novel deep learning (DL) approach has been proposed to realize high-resolution electromagnetic (EM) inversion imaging. The newly proposed approach is based on the deep convolutional double-module structure (DCDMS), consisting of the pixel-interpolating module and the corresponding quality-improving module. While the pixel-interpolating module roughly increases the 'resolution' of the initial input, the following quality-improving module realizes quantitative EM imaging in high resolution. The input of the proposed DCDMS adopts the mixed input scheme, consisting of the received EM scattered field and the initial reconstruction in much low resolution computed from Gauss-Newton method. The output of the proposed …

The Effect Of Reviewer Heterogeneity Between One-Time And Multi-Review Reviewers, Price Sentiment, And Pre-Purchase Information On Star Ratings For Amazon Subscription Boxes, Jikhan Jeong

Economics Faculty Research & Creative Works

This study examines the presence, prevalence, and negative polarity of one-time reviewers compared to those who have left multiple reviews across all categories, based on an analysis of 571,544,746 Amazon product reviews. Since sellers and consumers may be interested in specific products relevant to their business or purchasing interests within a category rather than across all categories, this research focuses on the Subscription Boxes category for econometric analysis. This category exhibits an unusual rating distribution, likely presents fewer incentives for promotional reviews, and faces fewer constraints. However, price data is unavailable in this category. Therefore, this study develops price sentiment …

Legal Semiotics, Political Ontology, & Merging Chronotopes Of Identity Through The Federation Of Aboriginal Nations Of The Americas, Kevin T. Inglesby

Graduate Student Theses, Dissertations, & Professional Papers

This dissertation studies the concept of self-determination related to a confederation known as the Federation of Aboriginal Nations of the Americas. It addresses three main questions: How does FANA represent an institution of legal cooperation? In what ways does cultural capital become reproduced? And what are key principles for the Federations’ code of unity? Self-determination is a core principle of international law and may be identified through treaties and social conventions like Wunnandry. The study explores an interdisciplinary approach to American Indian selfdetermination through a focus on applied anthropology, cultural heritage, and Peircean legal semiotics to problematize some historical approaches …

Volatile Organic Compound Analysis Of Humboldt Penguin (Spheniscus Humboldti) Preen Oil: A Pilot Study, Dante E. Rojas, Mitchell M. Mccartney, Eva Borras, Michael O. Eze, Abigail Pietrow, Jennifer J. Valvo, Cristina E. Davis

Chemistry Faculty Research & Creative Works

Avian olfaction has gained prominence in recent decades for its roles in social communication and behavior. In penguins, the chemical characterization of preen oil remains limited. In this exploratory study, we characterized the volatile organic compound (VOC) profile of preen oil from Humboldt Penguins (Spheniscus humboldti). Preen oil from 12 captive individuals was analyzed using headspace sorptive extraction (HSSE) coupled to gas chromatography–mass spectrometry (GC–MS). Chemometric analyses examined variation in VOC profiles by sex, age class, and breeding activity. We detected 54 compounds (20 tentatively identified), including linear alcohols, methyl ketones, carboxylic acids, saturated hydrocarbons, oxygenated and nitrogen-containing organics, prenolipids, …

Soft-Chemical Scalable One-Pot Aqueous-Medium Synthesis Of Na3(Vo)2(Po4)2f-Based Cathodes: Compositional Tuning And Electrochemical Performance In Na- And Li-Ion Batteries, Prashanth Sandineni, Subal Chandra Manna, Sutapa Bhattacharya, Santhoshkumar Sundaramoorthy, Ramesh Deokate, Milad Aghayi-Anaraki, George E. Sterbinsky, Kartik Ghosh, Amitava Choudhury

Chemistry Faculty Research & Creative Works

One of the most important cathode materials for Na-ion batteries, Na₃(VO)₂(PO₄)₂F, and its compositional variants have been synthesized using four different and facile one-step soft chemical routes. The as-synthesized compounds, Na_2.95(VO)₂(PO₄)₂F (I), Na_2.93(VO)₂(PO₄)₂F (II), and Na_2.58(VO)₂(PO₄)₂F (IV), crystallize in the tetragonal crystal system in the P4₂/mnm space group, while Na₃(VO)₂(PO₄)₂F (III) crystallizes in the orthorhombic crystal system in …

Relevance Between Strict Liability Theory And Banking Crimes In The Transfer Of Customer Funds: Negligence And Intent, Astrid Athina Indradewi, Evi Kongres, Ananda Chrisna D. Panjaitan, Evelyn Hutami Gunawarman

Research Collection Yong Pung How School Of Law

This article discusses the relevance of the Strict Liability theory to banking crimes in the transfer of customer funds involving elements of negligence as well as intent committed by bank managers. Strict liability places responsibility on the perpetrator without the need to prove fault, but rather by establishing a causal relationship between the act and the harm. In the context of civil law, Articles 1365 and 1367 of the Indonesian Civil Code recognize a form of liability resembling this concept through the mechanism of vicarious liability, whereby the bank as employer may be held liable for the unlawful acts of …

Age-Related Hearing Loss Involves Mitochondrial Dna Instability And Copy Number Depletion In The Cochlea: Insights From In Vivo And In Vitro Models, Akil Turner, Bo Ding, Xiaoxia Zhu, Tam Nguyen, Parveen Bazard, Robert D. Frisina

Chemical and Biochemical Engineering Faculty Research & Creative Works

Age-related hearing loss (ARHL) is a highly prevalent sensory neurodegenerative disorder that involves various molecular mechanisms. The present study investigated if age-related oxidative stress (OS) induces alterations in mitochondrial DNA (mtDNA) copy number and heteroplasmy, using complementary in vivo and in vitro models. Aged (30-month) CBA/CaJ mice have elevated auditory brainstem response (ABR) thresholds amplitudes vs. young (3-month) CBA/CaJ mice, a key physiological characteristic of ARHL The in vitro experiments employed the strial SV-K1 cochlear cell line treated with hydrogen peroxide (H₂O₂). Both the aged cochleae and H₂O₂-treated cells exhibited a significant …

Insights Of Quantitative Imaging And Instantaneous Heat Transfer Coefficient Measurement In Spouted Bed Column, Hasan A. Abdulwahab, Abbas J. Sultan, Amer A. Abdulrahman, Haydar A.S. Aljaafari, Ali A. Yahya, Zahraa W. Hasan, Malik M. Mohammed, Laith S. Sabri, Bashar J. Kadhim, Jamal M. Ali, Muthanna H. Al-Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

In this study, the heat transfer behavior of a conical spouted bed column was imaged for the first time across its entire cross-sectional area and at multiple axial heights. To achieve this, a custom-built quantitative imaging approach was developed. This method combined FluxTeq heat flux sensors with an Arduino-based data acquisition system. The experimental setup enabled instantaneous, spatially resolved measurements of surface temperature, heat flux, and local heat transfer coefficients (LHTC) under various operating conditions. Measurements at different radial locations, angles, and heights provided a comprehensive view of heat transfer behavior throughout the column. The obtained cross-sectional images show that …

External Validation Of A Knowledge-Based Clinical Toxicology Consultant For Diagnosing Single Exposures, Hugo Lerogeron, Joel D. Schipper, Jay L. Schauben, Laurent Guéguen, Valentine Lacotte, Kim An Nguyen

Publications

Introduction

Clinical prediction models assist healthcare providers in estimating disease likelihood using multiple patient-specific factors. While these models are increasingly used, few undergo the essential process of external validation, which limits their clinical utility. In toxicology, timely diagnosis is crucial and expertise scarce, making knowledge-based systems an excellent choice to support medical decision making. A knowledge-based system developed using data from the Florida Poison Information Center Network has shown promise but lacks external validation. This study aims to evaluate its performance using data from the Lyon Poison Information Center to assess its generalizability

Methods

To externally validate the Florida diagnostic …

Alpacas: An Evaluation Methodology For No- Or Low-Cost Course Materials, Heather Leonard

Publications

Evaluating no- or low-cost course materials is a key concern for those supporting affordable learning initiatives. This article will review the current needs of researchers in no- or low-cost course material, the methods currently available to guide them, and a new method I have designed to specifically address needs that current methods cannot. This method, ALPACAS (Apt, License, Provenance, Accurate, Currency, Authority, and Sources), combines insights from several other well-known methods to assist librarians, course designers, and instructors in finding appropriate no- or low-cost course materials. For each item in ALPACAS, I will break down why it is important and …

Impact Of Prostate Cancer Tumor Microenvironment On Alternative Splicing Landscapes In Nk Cells: An Lncap-Based In Vitro Model, Pratham N. Modi

Honors Undergraduate Theses

NK cells play a significant role in anti-tumor activity, yet the transcriptomic mechanisms underlying NK cell dysfunction in the prostate cancer tumor microenvironment remain generally poorly characterized. While most transcriptomic studies focus on gene-level expression, alternative splicing and isoform-level analysis may reveal additional levels of regulation not identified in traditional analysis. The overall goal of this study was to characterize gene and isoform-level changes in NK cells exposed to in vitro prostate cancer conditions and to evaluate whether isoform-level analysis could provide additional depth and insights beyond gene-level analyses. NK92-MI cells were co-cultured with LNCaP prostate cancer cells using direct-contact …

Illuminating Those Who Lurk In The Shadows: An Examination Of The Use Of Psychological Profiling In Identifying Violent Criminals In The Modern Age, Skylar R. Holmes

Honors Undergraduate Theses

This study examines the role of psychological profiling in apprehending violent criminals. Psychological profiling involves analyzing behavioral patterns at crime scenes, exploring the relationships between victims, and identifying characteristics and tendencies of offenders. It is currently used by many law enforcement agencies across the country to narrow down a pool of potential suspects and direct researchers, making the most of the limited manpower available. There is, however, a significant limitation in the literature and available evidence that suggests its tenets may be based on intuition and anecdotal evidence purported by investigators, subject to internal bias and thus should not be …

An Investigation Of The Impact Of Gender And Race On The Stigmatization Of Borderline Personality Disorder, Joshua Samet

Honors Undergraduate Theses

Stigma surrounding mental health reduces treatment-seeking behaviors and can worsen symptoms. Research on stigma surrounding borderline personality disorder (BPD) has shown that race and gender can impact the nature of the stigma associated with the disorder; however, less is known about the interaction between the two. This study investigated if stigma varies when considering both the race and gender of the stigmatized individual simultaneously. 218 undergraduate students read one of four vignettes describing either a Black male, White male, Black female, or White female, then completed the Attribution Questionnaire-20 (AQ-20) stigma scale. The results indicate that there is a statistically …

Variability In Parainfluenza Virus Derived From Persistently Infected Lung Epithelial Cells, Cassidy R. Conte

Honors Undergraduate Theses

An acute infection (AI) with RNA virus can progress to a persistent infection (PI) where infected cells continue to grow and replicate while producing progeny virions. PIs with respiratory viruses are clinically important, as they can lead to prolonged shedding of viruses and generation of mutant viruses that are altered in pathogenesis and/or immune responses. Parainfluenza type 5 (PIV5) is a prototypic RNA virus shown to cause PIs in cell culture. Plaques in tissue culture from an acute infection with parental PIV5 were homogeneous in size and shape. By contrast, plaques from PIV5 persistently infected cells were heterogeneous, having a …

Perceptions, Expectations, And Attitudes About Adolescent Telepsychiatry Among Indian American Family Caregivers, Udayvir Jalf

Honors Undergraduate Theses

Adolescent mental health concerns have risen sharply in the United States. The COVID-19 pandemic marked a significant turning point in mental health care access, with telehealth having become a central mode of care delivery. With adolescent telehealth, caregiver involvement has shown to improve treatment adherence and outcomes. Little is known, however, about how Indian American caregivers experience and navigate their adolescent’s virtual mental health care. This qualitative study investigated the perceptions, expectations, and attitudes of Indian American family caregivers regarding adolescent telepsychiatry and caregivers’ involvement. In depth semi-structured interviews were conducted with Indian American caregivers of adolescents who completed at …

Factors Related To Deviant Behavior, Chiara S. Popp

Honors Undergraduate Theses

Understanding the factors that contribute to deviant behavior across the life span remains an important goal in psychology and criminology. Guided by life course theory, the present study examined whether childhood trauma, social connectedness, perceived childhood socioeconomic status, and key life transitions are associated with deviant behavior in adulthood. The purpose of this research was to better understand how early life experiences and social relationships may shape behavioral outcomes later in life. A cross-sectional online survey was conducted with adult participants in the United States, aged 18 to 55. Participants completed measures assessing adverse childhood experiences, perceived childhood socioeconomic status, …

Industrial And Organizational Psychology Researchers’ Positive And Negative Experiences With The Peer-Review Process, Alexa Weaver

Honors Undergraduate Theses

Peer review plays a critical role in advancing the field of psychology; however, limited empirical research has examined psychologists’ experiences with the peer review process. The present study investigated both positive and negative peer review experiences among industrial and organizational (I/O) psychologists and assessed the prevalence of specific reviewer behaviors. A two-phase survey design was administered via Qualtrics. Study 1 employed open-ended questions to identify recurring themes in researchers’ experiences with peer review. Thematic analysis revealed distinct positive and negative patterns of reviewer behavior, which informed the development of Study 2.

Study 2 quantitatively assessed the prevalence of behaviors associated …

Do Comments And Expertise Still Matter? An Experiment On Programmers’ Adoption Of Ai-Generated Javascript Code, Changwen Li, Christoph Treude, Ofir Turel

Research Collection School Of Computing and Information Systems

This paper investigates the factors influencing programmers’ adoption of AI-generated JavaScript code recommendations within the context of lightweight, function-level programming tasks. It extends prior research by (1) utilizing objective (as opposed to the typically self-reported) measurements for programmers’ adoption of AI-generated code and (2) examining whether AI-generated comments added to code recommendations and development expertise drive AI-generated code adoption. We tested these potential drivers in an online experiment with 173 programmers. Participants were asked to answer some questions to demonstrate their level of development expertise. Then, they were asked to solve a LeetCode problem without AI support. After attempting to …