Digital Commons Network^™

Remote Multi-Person Heart Rate Monitoring With Smart Speakers: Overcoming Separation Constraint, Ngoc Doan Thu Tran, Dong Ma, Rajesh Krishna Balan

Research Collection School Of Computing and Information Systems

Heart rate is a key vital sign that can be used to understand an individual’s health condition. Recently, remote sensing techniques, especially acoustic-based sensing, have received increasing attention for their ability to non-invasively detect heart rate via commercial mobile devices such as smartphones and smart speakers. However, due to signal interference, existing methods have primarily focused on monitoring a single user and required a large separation between them when monitoring multiple people. These limitations hinder many common use cases such as couples sharing the same bed or two or more people located in close proximity. In this paper, we present …

Tackling Grand Societal Challenges: Understanding When And How Reverse Engineering Fosters Frugal Product Innovation In An Emerging Market, Samuel Adomako, Michael Asiedu Gyensare, Joseph Amankwah-Amoah, Pervaiz Akhtar, Nazim Hussain

Research outputs 2022 to 2026

Societies are confronted with grand challenges that require the efforts and coordination of diverse stakeholders. In this context, the role of for-profit organizations has become vital in addressing such challenges. Drawing on the strategy tripod perspective, this study investigated the influence of reverse engineering on frugal product-innovation performance (PIP) through the mediating effect of frugal innovation (i.e., cost innovation, and affordable value innovation). In addition, we examined the moderating impact of the industry environment (i.e., technological turbulence) and institutional context (i.e., legal inefficiency) on this relationship. We tested our hypotheses using time-lagged data from 243 small to medium-sized enterprises (SMEs) …

Two Decades Of Seagrass Monitoring Data Show Drivers Include Enso, Climate Warming And Local Stressors, Chanelle Webster, Kathryn Mcmahon, Claire Ross, Eben Afrifa-Yamoah, Nicole Said, Renae Hovey, Belinda Martin, Simone Strydom

Research outputs 2022 to 2026

The drivers contributing to the trajectories of seagrass ecosystems is a key knowledge gap which limits our effectiveness in preventing their decline. Here, we present the key findings from the regional assessment of seagrass condition (shoot density) over time, which was undertaken to inform environmental impact assessment and monitoring as well as mitigation for the Westport program. To assess regional trends and drivers of these trends, data was collated from five regional seagrass monitoring programs, including the Cockburn Sound State Environmental Policy Seagrass Monitoring Program and marine park monitoring programs conducted by the Department of Biodiversity, Conservation and Attractions. These …

Seeing The Forest For The Trees: The Role Of Growth-Oriented Leadership In Shaping Public Servants’ Work Experiences In The Post-Npm Environment, Esme Franken, Aglae Hernandez Grande, Ben Farr-Wharton, Fleur Sharafizad, Tim Bentley

Research outputs 2022 to 2026

In recent years, growth-oriented leadership (GOL) has come to the fore as a salient predictor of positive employee outcomes in public sector contexts. This empirical paper examines the role of GOL in shaping perceptions of quantitative demands as a product of an evolved New Public Management (NPM) context and the subsequent impact on stress and well-being for 419 local government employees working in Western Australia. While latent in previous GOL-oriented studies, this paper is the first to explore the intersection of GOL and quantitative demands, noting that the former has an established positive effect on employee wellbeing, and the opposite …

Fight-Pd: A Feasibility Study Of Periodized Boxing Training For Parkinson Disease, David J. Blacker, Raimondo Fazio, Claire Tucak, Phillip Beranek, Connor Pollard, Tegan Shelley, Sanathraj Rajandran, Georgina Holbeche, Mitchell Turner, Travis Cruickshank

Research outputs 2022 to 2026

Background: Boxing training has become a popular form of exercise for people with Parkinson disease (PD). There is a dearth of high-quality feasibility, safety, and efficacy data on boxing training for PD. Feasibility of Instituting Graduated High-intensity Training (FIGHT-PD) aimed to examine these features in a periodized boxing training program featuring high-intensity physical and cognitive demands. Objective: To conduct a feasibility study, aiming to address deficiencies in the current knowledge base and to provide data for future studies. Design: Single-arm, open-label feasibility. Setting: University department and medical research institute. Participants: Ten people with early stage PD without contraindications to intense …

Changes In Sleep Effort Mediate Insomnia Severity In Older Adults Following Online Cognitive Behavioural Therapy, Yvonne Kutzer, Lisa Whitehead, Eimear Quigley, Mandy Stanley

Research outputs 2022 to 2026

Background

To examine treatment mechanisms of digitally delivered cognitive behavioural therapy for insomnia (CBT-I), this study assessed the mediating effects of dysfunctional beliefs, hyperarousal, locus of control, self-efficacy, sleep effort, and safety behaviours on self-reported insomnia severity in older adults before and following the completion of a self-guided, online CBT-I program.

Methods

The baseline and follow-up measurements were completed by 62 older adults (55 female, 89%). This was a two-condition within-participant design. Mediation analysis using a parallel mediation model was conducted using the MEMORE macro for repeated measure designs.

Results

Out of all the included mediator variables, only a reduction …

Region-Specific Drivers Cause Low Organic Carbon Stocks And Sequestration Rates In The Saltmarsh Soils Of Southern Scandinavia, Carmen Leiva-Dueñas, Anna E. L. Graversen, Gary T. Banta, Jeppe N. Hansen, Marie L. K. Schrøter, Pere Masqué, Marianne Holmer, Dorte Krause-Jensen

Research outputs 2022 to 2026

Saltmarshes are known for their ability to act as effective sinks of organic carbon (OC) and their protection and restoration could potentially slow down the pace of global warming. However, regional estimates of saltmarsh OC storage are often missing, including for the Nordic region. To address this knowledge gap, we assessed OC storage and accumulation rates in 17 saltmarshes distributed along the Danish coasts and investigated the main drivers of soil OC storage. Danish saltmarshes store a median of 10 kg OC m−2 (interquartile range, IQR: 13.5–7.6) in the top meter and sequester 31.5 g OC m−2 yr−1 (IQR: 41.6–15.7). …

Quantitative Comparison Of Presenilin Protein Expression Reveals Greater Activity Of Ps2-Γ-Secretase, Melissa K. Eccles, Nathan Main, Rodrigo Carlessi, Ayeisha M. Armstrong, Miheer Sabale, Brigid Roberts-Mok, Janina E. E. Tirnitz-Parker, Mark Agostino, David Groth, Paul E. Fraser, Giuseppe Verdile

Research outputs 2022 to 2026

γ-secretase processing of amyloid precursor protein (APP) has long been of interest in the pathological progression of Alzheimer's disease (AD) due to its role in the generation of amyloid- . The catalytic component of the enzyme is the presenilins of which there are two homologues, Presenilin-1 (PS1) and Presenilin-2 (PS2). The field has focussed on the PS1 form of this enzyme, as it is typically considered the more active at APP processing. However, much of this work has been completed without appropriate consideration of the specific levels of protein expression of PS1 and PS2. We propose that expression is an …

Enhancing Water Safety: Exploring Recent Technological Approaches For Drowning Detection, Salman Jalalifar, Andrew Belford, Eila Erfani, Amir Razmjou, Rouzbeh Abbassi, Masoud Mohseni-Dargah, Mohsen Asadnia

Research outputs 2022 to 2026

Drowning poses a significant threat, resulting in unexpected injuries and fatalities. To promote water sports activities, it is crucial to develop surveillance systems that enhance safety around pools and waterways. This paper presents an overview of recent advancements in drowning detection, with a specific focus on image processing and sensor-based methods. Furthermore, the potential of artificial intelligence (AI), machine learning algorithms (MLAs), and robotics technology in this field is explored. The review examines the technological challenges, benefits, and drawbacks associated with these approaches. The findings reveal that image processing and sensor-based technologies are the most effective approaches for drowning detection …

Professionalism In Artificial Intelligence: The Link Between Technology And Ethics, Anton Klarin, Hossein Ali Abadi, Rifat Sharmelly

Research outputs 2022 to 2026

Ethical conduct of artificial intelligence (AI) is undoubtedly becoming an ever more pressing issue considering the inevitable integration of these technologies into our lives. The literature so far discussed the responsibility domains of AI; this study asks the question of how to instil ethicality into AI technologies. Through a three-step review of the AI ethics literature, we find that (i) the literature is weak in identifying solutions in ensuring ethical conduct of AI, (ii) the role of professional conduct is underexplored, and (iii) based on the values extracted from studies about AI ethical breaches, we thus propose a conceptual framework …

Tailored (La0.2pr0.2nd0.2tb0.2dy0.2)2ce2o7 As A Highly Active And Stable Nanocatalyst For The Oxygen Evolution Reaction, Sreya Paladugu, Ibrahim Munkaila Abdullahi, Palani Raja Jothi, Bo Jiang, Manashi Nath, Katharine Page

Chemistry Faculty Research & Creative Works

Designing highly active and robust catalysts for the oxygen evolution reaction is key to improving the overall efficiency of the water splitting reaction. It has been previously demonstrated that evaporation induced self-assembly (EISA) can be used to synthesize highly porous and high surface area cerate-based fluorite nano catalysts, and that substitution of Ce with 50% rare earth (RE) cations significantly improves electrocatalyst activity. Herein, the defect structure of the best performing nano catalyst in the series are further explored, Nd₂Ce₂O₇, with a combination of neutron diffraction and neutron pair distribution function analysis. It is …

Photogrammetry-Based Method For Measuring Volume Changes Of Soil Specimens During Critical Phases Of Triaxial Testing, Sara Fayek, Xiong Zhang, Pingxin Xia

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Triaxial tests has been routinely used to measure the stress–strain relationship for geomaterials. During triaxial testing, many sources of errors that cannot be completely avoided but are often ignored or approximated using empirical equations. This paper presents a systematic investigation of soil volume change, volume strain nonuniformity, and cross-sectional calculation along the specimen during triaxial testing using a photogrammetry-based method. Consolidated drained triaxial tests were performed in which two parallel measurements were taken: (1) relative volume using the conventional triaxial testing and (2) absolute volume using the photogrammetry-based method. The difference in the observed volume and void ratio measurements between …

Undeniable Authentication Of Digital Twin-Managed Smart Microfactory, Anusha Vangala, Ashok Kumar Das, Sajal K. Das

Computer Science Faculty Research & Creative Works

Smart Microfactories Use Additive Manufacturing to Create Products with Mixed Materials and Variable Sizes. Digital Twin Technology Enhances Control of the Additive Manufacturing Equipment in These Factories, Increasing Productivity and Minimizing Errors. the Digital Twins Communicate with the Machines to Furnish Sensitive Data and Instructions, Which Must Be Protected from Tampering. Authentication Rescues the Digital and Physical Twins from Menacing Attacks Such as Privileged Insider, Impersonation, Ephemeral Secret Leakage (ESL) and Man-In-The-Middle (MiTM) Attacks. to This End, We Propose Lightweight Authentication among the Digital and Physical Twins with the Undeniability of Issued Commands and Deniable Key Agreement. It Achieves Perfect …

Stitching Satellites To The Edge: Pervasive And Efficient Federated Leo Satellite Learning, Mohamed Elmahallawy, Tony Tie Luo

Computer Science Faculty Research & Creative Works

In the Ambitious Realm of Space AI, the Integration of Federated Learning (FL) with Low Earth Orbit (LEO) Satellite Constellations Holds Immense Promise. However, Many Challenges Persist in Terms of Feasibility, Learning Efficiency, and Convergence. These Hurdles Stem from the Bottleneck in Communication, Characterized by Sporadic and Irregular Connectivity between LEO Satellites and Ground Stations, Coupled with the Limited Computation Capability of Satellite Edge Computing (SEC). This Paper Proposes a Novel FL-SEC Framework that Empowers LEO Satellites to Execute Large-Scale Machine Learning (ML) Tasks Onboard Efficiently. its Key Components Include I) Personalized Learning Via Divide-And-Conquer, Which Identifies and Eliminates Redundant …

Fit-For-Purpose Heavy-Duty Fishing Equipment Designed To Safely Retrieve A Damaged Wireline Cable From An Active, Sour Gas Well Located Offshore, M. N. Amri, R. Macaulay, S. Aboelnaga, A. Abouganem, M. Al Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

Wireline operations play a crucial role in the oil and gas industry, facilitating essential tasks like well maintenance, data collection, and intervention. These operations involve deploying substantial downhole tools and large cables into the wellbore, but this endeavor is not without its challenges. Particularly, when a wireline cable breaks downhole, it poses significant risks. Unplanned wireline breakages result in demanding heavy-duty fishing operations when they occur in challenging offshore environments and unfavorable downhole conditions. in this work, strategic planning and execution were applied in a complex e-line cable recovery in a live, sour gas well without the need for well …

Integrated Downhole-Measurement-Enabled Coiled Tubing And Mechanical Wireline Recovery Of E-Line Cable In A Live, Sour Gas Well, C. Villagrana, A. Abouganem, A. M. Afsal, M. Al-Dahhan, J. Delaune, W. R. Tapia, M. Amri

Chemical and Biochemical Engineering Faculty Research & Creative Works

This study details a complex wire recovery operation in a live well that involved transitioning from coiled tubing (CT) to mechanical wireline (MWL), in both slickline [MA1] or braided line, to retrieve the wire in good condition and later hand it over to an electrical wireline (e-line) unit to spool it onto a drum. the operation was carried out on a live, sour gas well, demanding a unique setup and emphasizing safety. Two successful recovery operations removed a significant amount of e-line left in the well plus the upper section of the e-line bottomhole assembly (BHA) while safely pushing the …

Communication-Efficient Federated Learning For Leo Constellations Integrated With Haps Using Hybrid Noma-Ofdm, Mohamed Elmahallawy, Tony T. Luo, Khaled Ramadan

Computer Science Faculty Research & Creative Works

Space AI has become increasingly important and sometimes even necessary for government, businesses, and society. An active research topic under this mission is integrating federated learning (FL) with satellite communications (SatCom) so that numerous low Earth orbit (LEO) satellites can collaboratively train a machine learning model. However, the special communication environment of SatCom leads to a very slow FL training process up to days and weeks. This paper proposes NomaFedHAP, a novel FL-SatCom approach tailored to LEO satellites, that (1) utilizes high-altitude platforms (HAPs) as distributed parameter servers (PSs) to enhance satellite visibility, and (2) introduces non-orthogonal multiple access (NOMA) …

Mobility Management In Tsch-Based Industrial Wireless Networks, Marco Pettorali, Francesca Righetti, Carlo Vallati, Sajal K. Das, Giuseppe Anastasi

Computer Science Faculty Research & Creative Works

Wireless Sensor and Actuator Networks (WSANs) are an effective technology for improving the efficiency and productivity in many industrial domains and are also the building blocks for the Industrial Internet of Things (IIoT). To support this trend, the IEEE has defined the 802.5.4 Time-Slotted Channel Hopping (TSCH) protocol. Unfortunately, TSCH does not provide any mechanism to manage node mobility, while many current industrial applications involve Mobile Nodes (MNs), e.g., mobile robots or wearable devices carried by workers. In this article, we present a framework to efficiently manage mobility in TSCH networks, by proposing an enhanced version of the Synchronized Single-hop …

Resource Aware Clustering For Tackling The Heterogeneity Of Participants In Federated Learning, Rahul Mishra, Hari Prabhat Gupta, Garvit Banga, Sajal K. Das

Computer Science Faculty Research & Creative Works

Federated Learning Is A Training Framework That Enables Multiple Participants To Collaboratively Train A Shared Model While Preserving Data Privacy. The Heterogeneity Of Devices And Networking Resources Of The Participants Delay The Training And Aggregation. The Paper Introduces A Novel Approach To Federated Learning By Incorporating Resource-Aware Clustering. This Method Addresses The Challenges Posed By The Diverse Devices And Networking Resources Among Participants. Unlike Static Clustering Approaches, This Paper Proposes A Dynamic Method To Determine The Optimal Number Of Clusters Using Dunn Indices. It Enables Adaptability To The Varying Heterogeneity Levels Among Participants, Ensuring A Responsive And Customized Approach To …

Reflections On Linear B, (Part 1): An Egyptian Hieroglyphic Component, Gerald Leonard Cohen

Arts, Languages and Philosophy Faculty Research & Creative Works

No abstract provided.

Body-Oriented Gesture Generation System For Medical Interpreter Robots Based On Reinforcement Learning From Human Feedback, Tung Ngo, Emma Murphy, Conor Mcginn, Robert Ross

Conference papers

Medical interpreters are crucial in facilitating communication between healthcare stakeholders who speak different languages. Body-oriented gestures convey critical information essential for accurate and high-quality interpretation in healthcare settings. This study introduces a body-oriented gesture generation system designed for medical interpreter robots based on reinforcement learning from human feedback (RLHF). The system allows robots to interpret more naturally and improve over time through interactions with humans. By adopting a human-centered development approach, we tailor our system to address the actual needs of healthcare stakeholders.

Italian Comparative: A Trait Of The Legal System, Bianca Gardella Tedeschi

FIU Law Review

The cultural environment of Italian academia was open to suggestions that came from other legal systems and shaped an eclectic legal culture. Italy is an hybrid system that took the code from France, the legal science from Germany, and has always been receptive of foreign suggestions. This cultural background may explain why the Italian legal curriculum requires a mandatory course of comparative law and why comparative law has been an important field of Italian legal research. At the same time, comparative law was characterized by an an important mark of antiformalism, necessary to swim through the times of Fascism and …

Urban Commons In Italy, Michele Graziadei

FIU Law Review

The Italian experience with urban commons has been very rich indeed. In the last ten years or so the number of social and legal initiatives relating to urban commons in Italy has exploded. The present Italian situation shows that urban commons are here to stay. By now, they are part of the collective imagination, of political and socio-economic transformative projects, of administrative practices, and of the law. The demand for the commons in the city originates from the social movements that intend to resist the penetration of the market and of private property in every ambit of life but is …

The Spree Of Principles And The Abuses Of The Balancing Doctrine In Brazil, Ronaldo Porto Macedo

FIU Law Review

This article delves into the nuanced distinction between principles and rules in legal discourse, emphasizing their differing grammatical functions. While acknowledging the necessity of principles in legal reasoning, it cautions against their unchecked proliferation, exemplified by the Ellwanger case. The analysis underscores the importance of contextual understanding in discerning between principles and policies, advocating for a philosophical-political reflective approach. It critiques the overreliance on balancing-proportionality as a universal method, warning against its potential for dogmatic reduction and infringement on fundamental rights like freedom of expression. Ultimately, it calls for a balanced, reflective interpretation of principles to mitigate the risks inherent …

Global Antitrust From The Global South: A Comparative Law Void, Dina I. Waked

FIU Law Review

This paper discusses the attempts at creating an international antitrust regime from the perspective of the Global South. Today’s diffused competition laws, have arguably muted calls for an international antitrust regime. Given this diffusion, a global regime has indeed emerged. Within such a system, differentiated and selective antitrust enforcements are proposed as ways to achieve national public interest goals.

Filling The Gap: The Case For Driver's Licenses As A Lifeline To Opportunity For Undocumented Immigrants Where The Federal Government Fails To Act On Comprehensive Immigration Reform, David Peraza

FIU Law Review

The federal government has repeatedly failed at passing comprehensive immigration reform, which would provide basic benefits to the undocumented population in the U.S, including driver’s licenses. Various states have made attempts to provide undocumented immigrants with driver’s licenses. This work address the benefits and drawbacks of these policies and ultimately posits that holdout states should enact policies to provide driver’s licenses to undocumented immigrants in the face of the federal government’s inaction.

Ai And English Language Teaching: Affordances And Challenges, Helen Crompton, Adam Edmett, Neenaz Ichaporia, Diane Burke

STEMPS Faculty Publications

English is one of the most used languages for jobs, markets, tourism, discourse and international connectivity. However, English learners face many challenges in gaining English language skills. Extant studies show that AI has affordances to support in English language teaching and learning ELT/L. This study answers the call to examine specific challenges and affordances for using AI in ELT/L. A systematic review method was used with PRISMA principles to identify 42 studies. Findings reveal the geographical locations of studies, learner ages and years of study. Grounded coding was then used to identify affordances of the use of AI in ELT/L …

Nanopore-Based Dna Long-Read Sequencing Analysis Of The Aged Human Brain, Paulino Ramirez, Wenyan Sun, Shiva Kazempour Dehkordi, Habil Zare, Bernard Fongang, Kevin F. Bieniek, Bess Frost

School of Medicine Publications

Aging disrupts cellular processes such as DNA repair and epigenetic control, leading to a gradual buildup of genomic alterations that can have detrimental effects in post-mitotic cells. Genomic alterations in regions of the genome that are rich in repetitive sequences, often termed "dark loci," are difficult to resolve using traditional sequencing approaches. New long-read technologies offer promising avenues for exploration of previously inaccessible regions of the genome. Using nanopore-based long-read whole-genome sequencing of DNA extracted from aged 18 human brains, we identify previously unreported structural variants and methylation patterns within repetitive DNA, focusing on transposable elements ("jumping genes") as crucial …

Adult Qdts, Tagalog, Marianne E. Weiss, Angelica Rodriguez

Quality of Discharge Teaching Scale

The Readiness for Hospital Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale were developed by Dr. Marianne Weiss to measure nurse-sensitive discharge care processes and patient outcomes. Three versions of the scales were developed concurrently for different patient populations – Adult medical-surgical patients, Parents of hospitalized children, and Postpartum Patient mothers (see Weiss & Piacentine, 2006, Weiss et al., 2007, and Bobay et al., 2018 for description of the development and initial testing). Additional scales and information about translation rights are located at Marquette Nursing.

PERMISSION TO USE

The Readiness for Discharge Scale, Quality of Discharge …

Short Adult Qdts, English, Marianne E. Weiss

Quality of Discharge Teaching Scale

The Readiness for Hospital Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale were developed by Dr. Marianne Weiss to measure nurse-sensitive discharge care processes and patient outcomes. Three versions of the scales were developed concurrently for different patient populations – Adult medical-surgical patients, Parents of hospitalized children, and Postpartum Patient mothers (see Weiss & Piacentine, 2006, Weiss et al., 2007, and Bobay et al., 2018 for description of the development and initial testing). Additional scales and information about translation rights are located at Marquette Nursing.

PERMISSION TO USE

The Readiness for Discharge Scale, Quality of Discharge …