Digital Commons Network^™

Implementing Updated Npo Guidelines For Inpatient Procedures, Yasamin Ghanivand

Doctor of Nursing Practice (DNP) Projects

Background: Nil per os (NPO) guidelines are utilized for patient safety during procedures to reduce the risk of pulmonary aspiration. The American Society of Anesthesiologists (ASA) recommends clear liquids up to 2 hours before non-emergent procedures, although many facilities still implement the outdated practice of ordering NPO after midnight. This practice can lead to prolonged fasting, which may cause increased hunger, thirst, hypotension, nausea, and dizziness, ultimately resulting in patient dissatisfaction and discomfort.

Purpose: To review and assess current ASA NPO guidelines that describe best practice to enhance the patient experience without increasing perioperative risk of pulmonary aspiration.

Methods: A …

Front Matter

Hofstra Law Review

No abstract provided.

The People, The Branches, And The Pearl Of Independence, Brian C. Murchison

Hofstra Law Review

What will be the fate of the independent agencies? Since 1887, Congress has seen fit to address an array of contemporary issues by creating expert federal agencies, such as the Interstate Commerce Commission, the Federal Trade Commission, the National Labor Relations Board, and others. The principal officers of these agencies are appointed by the President on advice and consent of the Senate, serve limited staggered terms, are bipartisan in the sense that only a bare majority of the agency’s officers can be members of the same political party, and are “independent” in the sense that the officers are removable only …

Linking Sustainability Performance To Stock Resilience During And After Covid-19 Crisis: Evidence From Southeast Asia, Khalilul Rahman, Retnosari Retnosari, Sanda Patrisia Komalasari, Muhammad Wafiq

Jurnal Akuntansi dan Keuangan Indonesia

Background: The COVID-19 pandemic severely disrupted markets. While sustainability performance measured by ESG scores theoretically buffers against shocks, its efficacy in emerging markets with nascent sustainability frameworks remains underexplored. Method: We analyze a balanced panel of 1,395 observations from 279 non-financial Southeast Asian firms (2020–2024). Using OLS, lagged, and fixed effects models, we compare the impact of sustainability performance on stock resilience during the 2020–2022 and post-pandemic (2023–2024) periods. Findings: Sustainability performance (ESG scores) significantly enhanced stock resilience during the pandemic. However, this protective effect dissipated post-pandemic. Results confirm a statistically significant improvement in overall resilience following the crisis, as …

Ambulatory Blood Pressure Variability In Prediction Of Target Organ Injury: The Ship Ahoy Study, Coral D Hanevold, Jang Dong Seo, Stephen R Daniels, Bonita E Falkner, Michael A Ferguson, Joseph T Flynn, Julie R Ingelfinger, Philip R Khoury, Marc B Lande, Kevin E Meyers, Mark Mitsnefes, Joshua Samuels, Elaine M Urbina

Faculty, Staff and Student Publications

Background: Ambulatory hypertension is associated with elevated left ventricular mass index (LVMI), cardiac dysfunction, and increased arterial stiffness in adolescents. Whether the addition of measures of BP variability improves the prediction of subclinical cardiovascular target organ damage (TOD) over mean BP measures is not known.

Methods: We assessed clinic and ambulatory BP (ABP), anthropometrics, and TOD in 397 adolescents. ABP means standard deviation (SD), BP, and heart rate (HR) dipping were calculated; coefficients of variability (CV) were calculated (SD/mean) to assess ABP variabilities. Measures of TOD included LVMI, left ventricular hypertrophy (LVH), LV systolic shortening, LV diastolic function (e'/a'), and …

Evaluating The Impact Of Research Equipment Availability On Scientific Rigor, Reproducibility, And Innovation Across Stem Disciplines, Lyndi G. Hraban

Honors Program: Senior Projects (Public)

Research infrastructure plays a central role in shaping the quality and innovative capacity of scientific research. This study evaluates how the availability of research equipment influences scientific rigor, reproducibility, and innovation across STEM disciplines. Drawing on literature from science-to-science research, policy studies, and discipline-specific analyses, this project synthesizes existing scholarship to explore the relationship between access to infrastructure and key research outcomes. Findings across the literature indicate that access to advanced and well-maintained equipment can strengthen scientific rigor by enabling more precise measurements, improved experimental control, and the implementation of standardized research protocols. Shared and centralized facilities are also associated …

A Projector-Rank Partition Theorem For Exact Degrees Of Freedom In Experimental Design, K. G. Nagananda

Mathematics and Statistics Faculty Publications and Presentations

In many experimental designs—split-plots, blocked or nested layouts, fractional factorials, and studies with missing or unequal replication—standard ANOVA procedures no longer tell us exactly how many independent pieces of information each effect truly contributes. We provide a general degrees of freedom (df) partition theorem that resolves this ambiguity. For N observations, we show that the total information in the data (i.e., N −1 df) can be split exactly across experimental effects and randomization strata by projecting the data onto each stratum and counting the df each effect contributes there. This yields integer df—not approximations—for any mix of fixed and random …

Reduced Mediators Released By Cyanobacteria During Exoelectrogenesis Detected Using Differential Pulse Voltammetry, Laura T. Wey, Monica Brachi, Yagut Allahverdiyeva, Shelley D. Minteer

Chemistry Faculty Research & Creative Works

Cyanobacteria generate electrical current through exoelectrogenesis (extracellular electron transfer) downstream of photosynthesis, yet the identity of the endogenous redox mediator(s) responsible remains unresolved. Here, we apply differential pulse voltammetry (DPV) to detect and characterise redox-active species released by Synechocystis sp. PCC 6803 under illumination. To enable sensitive detection, we developed an electrolyte intermediate between BG11 (Blue-Green-11) growth medium and MOPS (3-(N-morpholino)propanesulfonic acid) buffer that minimises background electrochemical interference while maintaining short-term cellular functionality. DPV revealed multiple light-enhanced oxidation peaks (0.1–0.65 V vs. saturated calomel electrode (SCE)) that were not resolvable using cyclic voltammetry, providing evidence that cyanobacteria release reduced compounds …

A Systematic Review Of Audio Deepfake Detection Techniques For Digital Investigation, Mahra Alnaqbi, Richard Adeyemi Ikuesan

All Works

Deepfake technology has been driven by advanced machine learning and revolutionized multimedia creation by synthesizing hyper-realistic content. It includes images, videos, and audio. While its creative applications in entertainment and accessibility are significant, the technology also poses critical risks, especially in fraud, disinformation, and identity theft. Audio deepfakes are a subset of this phenomenon that replicate human voices with enhanced precision, mimicking tone, accent, and subtle vocal nuances. This has raised concerns in security-sensitive domains like voice authentication and forensic investigations. This systematic literature review (SLR) adopts PRISMA guidelines to explore the state-of-the-art in audio deepfake detection. It examines existing …

Castor Canadensis Winter 2026, Jedediah Smith Society

Castor Canadensis - Jedediah Smith Society

Newsletter of the Jedediah Smith Society

Pieces Solving A Puzzle: Emerging Roles And Cross-Field Analogies During A Distributed Epistemic Game, Jenna Matthews

All Graduate Theses and Dissertations, Fall 2023 to Present

In an effort to describe why some problems can’t be solved, a character compared them to a cubic meter of platinum - a block so dense that all the people who could squeeze around it still couldn’t lift it off the ground. In the same way, these problems simply can’t have enough people gathered around and communicating about them - and so they remain unsolved.

This research looks at the first Polymath Project (2009) as an example of a distributed epistemic game to examine how groups engage with complex problems. and without a locally omniscient individual. In this setting of …

Temporally Rigorous And Traceable Predictive Maintenance Via Joint Labeler-Model Optimization, Maytha Al-Ali, Ahmad Alharbi

All Works

Predictive maintenance (PdM) is a critical enabler of intelligent asset management in Industry 4.0, yet many existing frameworks remain difficult to operationalize due to methodological fragmentation. Common limitations include sacrificing temporal realism and class granularity for computational expediency, decoupling labeling strategy design from model hyperparameter optimization, and insufficient support for reproducibility and deployment traceability; particularly in rare-failure regimes. To address these challenges, we propose a unified, end-to-end, and fully traceable PdM framework that jointly optimizes labeling and model parameters while enforcing strict temporal fidelity. The proposed pipeline co-optimizes the failure lookahead window () and LightGBM hyperparameters within a single Bayesian …

Smart Medical System Integrating Clinical Workflows For Robust Skin Cancer Detection Across Heterogeneous Pathologies, Ahed Abugabah, Prashant Kumar Shukla, Suchi Mishra, Abhishek Dwivedi

All Works

Skin cancer is among the most prevalent and life-threatening dermatological diseases worldwide, with melanoma responsible for a substantial proportion of skin cancer–related deaths due to delayed and unreliable diagnosis. Conventional clinical screening based on visual inspection and expert interpretation is inherently subjective and often affected by inter-observer variability, lesion heterogeneity, and imaging artifacts, highlighting the need for accurate and generalizable automated diagnostic systems. This study proposes a novel hybrid deep learning architecture for skin cancer classification that integrates an attention-guided autoencoder with a transformer-inspired global context modeling module, forming a unified and robust representation learning framework. The encoder–decoder structure is …

Large Language Models In Nlp: Evolution, Architectural Trends, And Open Challenges, Haseeb Javed, Babar Shah, Farman Ali, Daehan Kwak

All Works

The rise of Large Language Models (LLMs) has transformed how Natural Language Processing (NLP) and its subdomains are approached. Recent technological advancements have driven this transformation. This study offers researchers a detailed overview of LLMs, comparing them with traditional rule-based systems, statistical techniques, machine learning, neural networks, and the rise of transformer-based architectures. From a wider perspective, language models such as GPT, BERT, T5, PaLM, and LLaMA have facilitated the transformation of entire sectors, including healthcare and business, due to their highly scalable nature. Despite their wide range of applications, LLMs face numerous challenges, such as output biases, limited interpretability, …

Transient Phenomenology Of Third Landscape In The United Arab Emirates, Luca Donner, Francesca Sorcinelli

All Works

The Third Landscape, theorized by Gilles Clément, represents a residual territorial area, abandoned or not yet used, in which nature reclaims anthropized places. It is a paradigm based on the idea of a marginal, neglected context, but characterized by great intrinsic biodiversity. Starting from this theoretical assumption and supported by a photographic investigation, this study aims to identify some phenomenological characteristics of the Third Landscape in the United Arab Emirates. The scientific contribution will make use, in its dialectical and descriptive development, of reflections by authors such as, among others, Clément, Bauman, Lovelock, D’Angelo, Burkhardt, Augé, and Lynch. Starting from …

A Global High-Resolution Comprehensive Heat Indices Dataset From 1950 To 2024, Abdul Malik, Sateesh Masabathini, Mohsin Ahmed Shaikh, Qinqin Kong, Muhammad Usman, Dasari Hari Prasad, Ibrahim Hoteit

All Works

Heatwaves are becoming more intense and frequent as global temperatures rise, affecting vulnerable populations, particularly in low-income communities. Addressing the impacts of heatwaves requires high-resolution data to assess their influence on labour productivity, public health, and climate risk. We introduce the Comprehensive Heat Indices (CHI) dataset, a high-resolution (0.1° × 0.1°) hourly dataset from 1950 to 2024, derived from the ERA5 and ERA5-Land reanalyses. The CHI dataset encompasses thirteen heat stress indices, including wet-bulb temperature, universal thermal climate index, mean radiant temperature, wind chill, and lethal heat stress index (Ls). Thresholds for Ls are empirically linked to mortality, enabling the …

Quantifying Customer Sentiment For Automobile Brand Perception Analysis Using Machine Learning On Twitter, Sujith Samuel Mathew, Kadhim Hayawi, Neethu Venugopal, May El Barachi

All Works

Social networking sites provide a platform for individuals to express their opinions publicly. Brand managers actively use these platforms to gain insights into brand perceptions, as users often share their views on products and services. In this study, we use sentiment analysis to assess customer sentiment towards five leading automobile brands, analyzing text content shared on Twitter(or X). The research models the ’Brand Polarity Score’, which indicates whether customers perceive the brand positively or negatively. This score is further weighted based on the tweet’s influence, characterized by the engagement metrics of the tweet and the author’s follower count. We also …

Does Self-Efficacy Of Teachers Toward Inclusive Education Differ Between Primary And Secondary School? A Cross-Cultural Study Of Ghana And The United Arab Emirates, Ahmed Mohamed, Maxwell Peprah Opoku, Bernadette M. Guirguis, Ebenezer Mensah Gyimah, Maya Al Yafi, Shouq Alqahtani, Safa Alharthi, Mahra Aldhanhani, Al Zahra Aljaberi

All Works

There are ongoing debates on the level of education that students with special educational needs could participate in and enjoy as part of their fundamental right to education. There is a notion that students with special educational needs could be more easily included in primary schools than in secondary schools. However, teachers were excluded from such discussions. The current study aims to invigorate such discussion by exploring primary and secondary school teachers' self-efficacy across Ghana and the United Arab Emirates (UAE). a total of 897 teachers were recruited from Ghana and the UAE to rate their self-efficacy via the Teacher …

Local Government Policies Restricting Unhealthy Outdoor Food Advertising In Australia: Stakeholder Perspectives Identify Political Willingness Is Key To Overcoming Barriers, Alexia Bivoltsis, Frith Klug, Jacinta Francis, Clare Whitton, Gina S.A. Trapp, Claire E. Pulker

Research outputs 2022 to 2026

Background: Unhealthy outdoor food advertising is strongly linked to poor diet, highlighting the need for policies. Western Australian (WA) local governments (LGs) can restrict advertising on their owned infrastructure through their Public Health Plans, but limited policy action has occurred. This study aimed to explore the perspectives of WA LGs and public health organizations (PHOs) on current and potential policies restricting unhealthy outdoor food advertising on LG owned infrastructure to (1) identify barriers and enablers to the policy making process, (2) assess the current level of political willingness (i.e. political want, political can and political must) and (3) inform development …

A Global Image-Based Data Repository Of Killer Whale Interactions With Elasmobranchs, Emma Luck, Isabella L. Reeves, Maeva Terrapon, Rebecca Wellard, Stephanie K. Venables, Alison V. Towner, Alison A. Kock, Charlotte Hussain, Molly Altschwager, Rosie Ballard, Evans Baudin, Nancy Black, Evan Brodsky, Jade Cantrall, Julio Cardoso, Matt I.D. Carter, Oliver Clarke, Santiago Diaz-Pazmino, David Donnelly, Georgina Cabayol Ferraz, Arlaine Francisco, Laura González García, Mark Jackman, Aimee Jan, Eric Martin, Dane Mcdermott, James Moskito, Blair Ranford, Jesús Erick Higuera Rivas, Jasmin O’Brien, Anton Oleynik, Hernán Orellana-Vásquez, Daniela Alarcón Ruales, Gemma Sharp, Jade Sharp, Alisa Schulman-Janiger, Colleen M. Talty, Paul Tixier, John A. Totterdell, Steve Truluck, Jennah Tucker, Tara Weberg, M. Fernanda Urrutia-Osorio, Machi Yoshida, Jochen R. Zaeschmar, Lauren Meyer

Research outputs 2022 to 2026

Killer whales (Orcinus orca) are cosmopolitan apex predators that interact with numerous species, including sharks, skates, and rays (subclass Elasmobranchii). Interactions between killer whales and elasmobranchs have garnered attention from the scientific community, but the dynamics of these events are poorly understood, as interactions are often challenging to observe. In this study, we collated imagery of interactions between killer whales and elasmobranchs to create the first image-based repository of interspecific interactions between marine predators. A total of 320 photos and videos from 82 unique interactions were collected from 12 countries. A minimum of 18 elasmobranch species across 16 genera were …

Efficient Charging Scheduling Through Coordination Of Electric Vehicle Platoons And Charging Stations, Liwan Qi, Bochun Wu, Shoubo Li, Yi Gong, Wei Ni

Research outputs 2022 to 2026

This paper focuses on charging allocation in a vehicle-to-infrastructure (V2I) communications-enabled electric vehicle (EV) network with heterogeneous traffic flows, where manned EVs and EV platoons coexist, and each EV platoon may have a different size and travel speed. In such a network, hybrid traffic flows pose significant challenges since platoons with multiple EVs can easily cause severe station overloading and increase the total time cost for charging service, particularly when large platoons occur. To tackle this issue, a centralized approach is proposed to plan charging allocation and optimize the velocities of manned EVs and EV platoons with the assistance of …

Natural Gas Hydrate Production And Co2 Storage Via Clathrate Hydrates: Challenges And Opportunities, Abdirahman Hassan Mohamed, Aliyu Adebayo Sulaimon, Haylay Tsegab, Bhajan Lal, Stefan Iglauer, Muhammad Ali

Research outputs 2022 to 2026

One of the most demanding environmental and economic challenges of this era is that of supplying the increasing global energy demand while reducing and neutralizing the CO2 footprint. In this regard, the provision of a secure and diversified energy supply and the sequestration of CO2 into geological formations are currently of great significance. However, the buoyant nature of CO2 under the temperature and pressure conditions of typical geological sites leads to the risk of CO2 leakage, and thus necessitates long-term monitoring. Therefore, the hydrate-based sequestration of CO2 beneath oceanic sediments has become a desirable alternative to conventional geologic sequestration in …

Adding A Weight To Constrain The Trunk Increases Knee Joint Kinetics During Sidestep Cutting In Female Athletes, Daniel Kadlec, J. Jordan, Jacqueline Alderson, Sophia Nimphius

Research outputs 2022 to 2026

Sidestep cutting exposes the knee to high multiplanar loads that both challenge tissue capacity and provide an opportunity to develop resilience through progressive exposure. This study investigated task constraints applied at the trunk and preparatory step and changes in lower-body joint kinetics associated with ACL injury risk during sidestepping in female athletes. Twenty-one trained female athletes performed six sidestep conditions: pre-planned and unplanned sidesteps, each with and without trunk (holding ~ 5–7.5% body mass at chest level) and preparatory-step (ducking under an adjustable rope at eye height) constraints. Relative joint power at the hip, knee, and ankle was analysed using …

Enhanced Carbon Burial In Seagrass Meadows Under Ocean Acidification Revealed By Carbon Dioxide Vents, Theodor Kindeberg, Teixidó, Steeve Comeau, Jean Pierre Gattuso, Beat Gasser, Alice Mirasole, Samir Alliouane, Ioannis Kalaitzakis, Denisa Berbece, Christopher Cornwall, Pere Masque

Research outputs 2022 to 2026

Seagrass meadows are natural carbon sinks, yet the effect of ocean acidification on their carbon burial capacity remains poorly understood. Here we investigated natural carbon dioxide vents in Ischia, Italy to assess how seawater pH influences carbon burial in an area dominated by the seagrass Posidonia oceanica. Organic carbon burial rates (mean ± standard error) between 1954 – 2021 were low under ambient conditions (1.5 ± 0.5 g m-2 yr-1) but increased sharply under acidified conditions (7 ± 1 g m-2 yr-1), reaching sevenfold higher values under extreme acidification (10 ± 3 g m-2 yr-1). Stable isotopes suggest that these …

Robust Hybrid Tree-Based Machine Learning-Assisted Optimization Of Well Parameters To Reduce Asphaltene Precipitation Risk In Oil Fields, Malek Jalilian, Madani, Alireza Keshavarz, Stefan Iglauer, Abbas Khaksar Manshad, Amir H. Mohammadi

Research outputs 2022 to 2026

Asphaltene precipitation is a persistent flow-assurance issue in carbonate oil wells, leading to increased intervention frequency and production losses. This study utilizes multi-decade surveillance and operational data from a mature carbonate field (1983–2023) to train and optimize five tree-based models: Decision Tree, Random Forest, Extra Trees, Gradient-Boosting Decision Tree, and CatBoost, employing a Tree-Structured Parzen Estimator. These models, constrained by operational parameters, were integrated to identify optimal settings that can minimize the frequency of asphaltene precipitation and the subsequent cleanups. The novelty of this research lies in the direct integration of interpretable tree ensembles with an optimizer that adheres to …

Bridg-Ics: Ai-Grounded Knowledge Graphs For Intelligent Threat Analytics In Industry 5.0 Cyber-Physical Systems, Padmeswari Nandiya, Ahmad Mohsin, Ahmed Ibrahim, Iqbal H. Sarker, Helge Janicke

Research outputs 2022 to 2026

Industry 5.0’s increasing integration of IT and OT systems is transforming industrial operations but also expanding the cyber–physical attack surface. Industrial Control Systems (ICS) face escalating security challenges as traditional siloed defenses fail to provide coherent, cross-domain threat insights. We present BRIDG-ICS (BRIDge for Industrial Control Systems), an AI-enriched Knowledge Graph (KG) framework for context-aware threat analysis and quantitative assessment of cyber resilience in smart manufacturing environments. BRIDG-ICS fuses heterogeneous industrial and cybersecurity data into an integrated Industrial Security Knowledge Graph linking assets, vulnerabilities, and adversarial behaviors with probabilistic risk metrics (e.g., exploit likelihood, attack cost). This unified graph representation …

Acute Effects Of Accentuated Eccentric Loading On Mean Concentric Velocity During Resistance Training: A Systematic Review And Meta-Analysis, Jiahao Yang, Tsuyoshi Nagatani, Paul Comfort, Kristina L. Kendall, G. Gregory Haff

Research outputs 2022 to 2026

Background: Accentuated eccentric loading (AEL) may acutely enhance the concentric (CON) barbell velocity after the additional eccentric (ECC) load is removed, however there are inconsistent results regarding the effectiveness of this practice within the scientific literature. Objective: The aims of the present study were to: (1) examine the acute effects of applying AEL, only on the first repetition of a set, on mean barbell velocity during the CON phase of the first 3 repetitions of the set and (2) investigate the influence of the magnitude of ECC load, loading differential and exercise selection on the acute effects of AEL. Methods: …

Examining Teachers’ Attitudes Towards Inclusive Education For All: Development Of A New Scale, Stephan Kielblock, Woodcock, John Ehrich

Research outputs 2022 to 2026

Teachers’ attitudes towards inclusive education are widely recognised as a key indicator of the inclusiveness of classroom environments. However, existing instruments inadequately capture teachers’ mindsets in relation to inclusive education for all learners. This study addresses this gap by developing and validating a new cross-cultural measurement instrument: the Attitudes Towards Inclusion for All scale (ATIFA), in both English (ATIFA-EN) and German (ATIFA-DE). Data were collected from pre-service and in-service teachers in Australia (n = 146) and Germany (n = 238). Exploratory factor analysis and Rasch modelling identified four robust subscales—Philosophy, Practice, Social Inclusion, and Support—with strong psychometric properties. Evidence of …

Stocks And Fluxes Of Carbon And Nitrogen In Northeastern Brazil Coastal Seascapes, Antoniwal A. Jatobá-Junior, Pere Masque, Carlos Eduardo De Rezende, Vanessa Hatje

Research outputs 2022 to 2026

Quantifying carbon and nitrogen dynamics is essential for understanding the role of coastal ecosystems in climate change mitigation and habitat connectivity. We assessed organic carbon (OC) and total nitrogen (TN) stocks, accumulation rates, and isotopic composition (δ¹³C and δ¹⁵N) in sediment across diverse seascapes in northeastern Brazil, including high- and low-salinity mangroves, a tidal flat, a freshwater marsh, and an inundated forest. OC stocks in the upper meter of sediment were highest in the freshwater marsh (283 ± 64 Mg OC ha⁻¹) and tidal flat (266 ± 27 Mg OC ha⁻¹), and …

The Impact Of Testing-Parameter Variability On Force Production In The Isometric Single-Leg Long-Lever Bridge: Implications For Training And Testing Rigor In Sporting Environments, Adam E. Sundh, Nicholas J. Ripley, A. J. Lamb, Conor J. Cantwell, Paul Comfort

Research outputs 2022 to 2026

Background: The aim of this study was to determine the impact of knee angle variability on force production outcomes during the single-leg isometric long-lever bridge, thus providing monitoring guidelines for testing rigor with direct implications for feasibility across a variety of high-performance sporting environments. Methods: Thirty men (age: 19.4 ± 1.3 years; height: 179.8 ± 6.3 cm; body mass: 80.4 ± 10.3 kg) and 14 women (age: 20.0 ± 1.3 years; height: 166.9 ± 7.2 cm; body mass: 64.4 ± 7.4 kg) all of whom were Division 3 athletes with no recent injury history volunteered to participate in the study. …