Digital Commons Network^™

Prioritizing Administrative Process Improvements Through Nahp And Business Process Management, Andrea Malavé Gómez, Andrés Avilés-Noles, Carlos Bastidas Sánchez, Fabrizzio Andrade Zamora

Neutrosophic Sets and Systems

This research developed a hybrid approach that combines BPM and Neutrosophic Analytic Hierarchy Process (NAHP) to prioritize the improvement of administrative processes for more efficient operation in high uncertainty settings. For instance, BPMN 2.0 was used to visualize the AS-IS/TO-BE of a public university's document management process (current/future state) to identify the source of delays/duplication and the NAHP technique was employed to evaluate and prioritize the evaluation criteria (time, cost, and user satisfaction) through expert pairwise comparisons manifested by truth-degrees, indeterminacy, and falsity since NAHP confines ambiguity and inconsistencies of reply. The AS-IS/TO-BE findings indicated a 30% decrease in turnaround …

Neutrosophic Classification Of The Factors That Shape The Professional Profile Of Students In Ecuadorian Higher Education, Ana Jacqueline Noblecilla Olaya, María Paredes Morales, Amor Lalama Franco, Dalva Icaza Rivera, Fabrizzio Andrade Zamora

Neutrosophic Sets and Systems

This article examines the professional profile of university students in the context of uncertainty of Ecuador. What constitutes this professional profile? Technical skills? Soft skills? Demands of the international and national market? This is relevant to the nation because the employability situation of the country depends on economic development. The correlation between higher education and economic development has been complicated by developments that exploit imperfectly educated people for demand within the employment market. Thus, a professional profile is neither the first study of such developments; however, few studies exist that assess the professional profile through uncertainty and contradiction which means …

Hap-Covid: Hybrid Model Integrating Machine Learning And Neutrosophic Statistics To Estimate Mortality Risk In Covid-19 Comorbid Patients, Daniel Iturburu-Salvador, Lorenzo Cevallos-Torres, Rosangela Caicedo-Quiroz, Irma Naranjo-Peña, Rosa Hernández-Magallanes, Rosa Gonzáles-Quiñones

Neutrosophic Sets and Systems

This study aims to utilize a hybrid predictive model to evaluate the mortality risk in COVID-19 patients with comorbidities. It is challenging to make clinical decisions while dealing with SARS-CoV-2 because of the high death rate related to chronic conditions such as diabetes, hypertension, chronic obstructive pulmonary disease (COPD), renal failure, heart disease, and cancer. To overcome this obstacle, a Monte Carlo algorithm-based simulated database was created, with clinical variables represented by Bernoulli and truncated normal distributions. Several prediction models, including Decision Trees, Naive Bayes, and Neutrosophic Statistics, were trained using this database. While the neutrosophic model permitted risk categorization …

Study Of The Information Technology Knowledge Of First-Semester Students At A Private University In Huancayo Based On The Indeterminate Likert Scale And Z-Numbers, Ketty Marilú Moscoso-Paucarchuco, Wild Franz Cerron-Leon, Manuel Michael Beraún-Espíritu, José Segura-Cuyubamba, Leidy Yamira Carrera-Travezaño, Herbert Víctor Huaranga-Rivera, Edgar Gutiérrez-Gómez

Neutrosophic Sets and Systems

It is essential for today's professional to know and master the information technologies that are part of modern life. Otherwise, this constitutes an educational deficiency in our universities that must be reversed. This paper aims to determine the level of information technology knowledge of first-semester students at the Franklin Roosevelt Private University of Huancayo in Peru. The study population consists of 240 students. Simple random sampling was used to select a representative sample. Data collection was carried out using a survey consisting of a questionnaire containing a set of 37 questions. The survey measures students' level of skills in using …

Https://Fs.Unm.Edu/Nss/Nss-89-2025-Sia.Pdf, Florentin Smarandache, Ma Kel Leyva Vázquez, Mohamed Abdel-Basset

Neutrosophic Sets and Systems

No abstract provided.

The Digital Mesa, Elisha Allen, Dawn Davis, Ashley Campbell, Eva Padilla, Michael Hickman, Sally Bowler-Hill, Ryan Sishc

The Digital Mesa

No abstract provided.

Fcad: Feature-Coupled Anisotropic Diffusion For Continuous Graph Learning, Amitoz Azad, Zhiyuan Zhang

Research Collection School Of Computing and Information Systems

In this work, we propose a novel continuous graph neural network called FCAD (Feature-Coupled Anisotropic Diffusion) for the task of node classification on graphs. Our approach is motivated by the success of feature-coupled anisotropic diffusion PDEs in multivalued image restoration. Our method introduces a total variation regularization-inspired anisotropic term to control diffusion between nodes and incorporates a learnable parameterization for feature coupling during the diffusion process. Our model performs competitively against several GNN baselines for both heterophilous and homophilous graphs, demonstrating notable benefits for heterophilous graphs due to the learnable feature coupling.

Art4math: Handwritten Mathematical Expression Recognition Via Multimodal Sketch Grounding, Yang Zhou, Jin Wang, Yuxiao Zhang, Kaixiang Huang, Guodong Lu, Jingru Yang, Shengfeng He

Research Collection School Of Computing and Information Systems

Handwritten Mathematical Expression Recognition (HMER) remains a challenging task due to the structural complexity of mathematical notation and the ambiguity of handwritten symbols-e.g., ''ρ'' vs. ''p'' or ''B'' vs. ''β''. While stroke-based models offer disambiguation via temporal cues, most existing methods are constrained by coarse modality fusion and a lack of fine-grained cross-modal alignment, further hindered by limited annotated data. We introduce Art for Math (Art4Math), a novel framework that leverages the structural richness of human sketches to enhance HMER through fine-grained, modality-aware learning. Art4Math follows a two-stage training paradigm: Art Grounding (A-Grd) and Math Decoding (M-Dec). In A-Grd, the …

A Qualitative Exploration Of Parents' Experiences Of Homeschooling In The United Arab Emirates: Motivations And Challenges, Reem Thani Aldhaheri

All Works

Homeschooling in the United Arab Emirates (UAE) is an understudied phenomenon despite the growing numbers of homeschoolers. Controversies about homeschooling and its impact on children’s well-being create a social stigma around families that choose to homeschool their children for various reasons. This study explored the experiences of homeschoolers in the UAE, specifically, the motivations for homeschooling and the challenges homeschooling families face during the experience. The study followed a qualitative exploratory approach using a semi-structured interview. The sample consisted of 16 parents of different nationalities living in the UAE. Data were analyzed using a thematic approach to gain an in-depth …

Improving Patient Portal Messaging Workflow, Tanya M. Fitzpatrick

All Doctor of Nursing Practice (DNP) Scholarly Projects

Problem: Inefficiencies in patient portal secure messaging between providers and patients in a large primary care practice led to delayed resolution times, averaging 5.6 days per message. Most messages were closed by physicians or advanced practice providers, resulting in imbalanced workload distribution, increased provider burden, and reduced communication efficiency. The lack of standardized guidelines for message use, character limits, or triage processes contributed to workflow disruptions, a diminished patient experience, and unreimbursed provider time.

Aim of the Project: The aim of the project was to reduce average portal message closure times by at least 38% through the implementation of standardized …

Improving Pain Assessment After Bedside Percutaneous Endoscopic Gastrostomy (Peg) Placement, Sherman Cotton

All Doctor of Nursing Practice (DNP) Scholarly Projects

Problem: Baseline audits at a 44-bed critical-illness recovery hospital showed low reliability in two post-PEG practices: (1) pain reassessment within 90 minutes of an intervention and (2) complete PEG-site documentation (skin, drainage, tube position/measurement). Baseline performance averaged 55% and 62%, both of which were below the organization’s 90% benchmark.

Aim of the Project: From May to July 2025 (12 weeks), improve on-time pain reassessment and ensure PEG-site documentation reaches at least 90%, maintaining this level for three or more consecutive weeks; monitor workload to prevent increases in perceived charting time and ensure safety by avoiding a rise in PEG-related …

Neck Pain In Migraine: A Narrative Review And Steps To Correct Evaluation And Treatment, Tayla A. Rees, Diana Doukhi, Victor S. Wang, Anita Balcerbula, Michelle Bravo, Haniyeh Fathi, Bahtigul Holmuratova, Michalis Kodounis, Seblewongel A. Seyoum, Semih Tasdelen, Hasmik Vekilyan, Edoardo Caronna, Patricia Pozo-Rosich

Department of Neurology Faculty Papers

Background: Neck pain is common in migraine patients, occurring during all migraine phases and between attacks. It can be a migraine symptom, trigger or a coexisting condition, and is associated with greater disability and poorer treatment response. There is evidence that neck pain associated with headaches can be frequently incorrectly diagnosed as a cervical disorder rather than migraine, resulting in a lack of appropriate treatment. Accurately assessing the connection between neck pain and migraine is crucial for effective treatment. Methods: This narrative review aims to summarise existing research on the role and contribution of neck pain in migraine, both as …

Dean's Update, October 2025, Neil W. Schluger

SOM Dean's Research Newsletter

No abstract provided.

Sleep Environment Is Associated With Sleep Control In Fly-In, Fly-Out Mining Shift Workers, Philipp Beranek, Mitchell Turner, Johnny Lo, Michael Grandner, Ian C. Dunican, Travis Cruickshank

Research outputs 2022 to 2026

Control over sleep timing, duration, and quality is essential for obtaining healthy sleep. Fly-in, Fly-out (FIFO) mining shift workers face unique challenges in maintaining control over their sleep due to their roster. However, the impact of their sleep environment on perceived sleep control in this population remains underexplored. This study evaluates the sleep environment of FIFO mining shift workers and its association with sleep control. A cross-sectional study was conducted (2023–2024) on Australian FIFO mining shift workers residing in remote camp accommodations. Data were collected via an online survey using the Assessment of Sleep Environment (ASE) and the Brief Index …

Healing Right Way: A Stepped Wedge Cluster Randomised Controlled Trial Aiming To Enhance Quality Of Life For Aboriginal Australian Survivors Of Stroke And Traumatic Brain Injury, Elizabeth Armstrong, Tapan Rai, Judith M. Katzenellenbogen, Sandra J. Thompson, Meaghan Mcallister, Natalie Ciccone, Deborah Hersh, Leon Flicker, Dominique A. Cadilhac, Erin Godecke, Graeme J. Hankey, Neil Drew, Colleen Hayward, Deborah Woods, Mel Robinson, Ivan Lin, Sanita Kratina, Jane White, Juli Coffin

Research outputs 2022 to 2026

Objective: To determine the effect of cultural security training (CST) for health professionals and access to an Aboriginal Brain Injury Coordinator (ABIC) for Aboriginal Australians with stroke or traumatic brain injury (TBI). Design: A stepped wedge cluster randomised controlled trial; the intervention package consisted of CST for hospital professionals and 6-month access to ABICs providing education, support, liaison and advocacy; the commencement order of the intervention phase was randomised. Setting: Four urban and four rural hospitals in Western Australia, 2018–2022. Participants: Aboriginal adults ≥ 18 years hospitalised with stroke or TBI. Main Outcome Measures: Primary outcome was quality of life …

Accelerating Precision Exercise Medicine In Cancer Patients Using Pooled Individual Patient Data: Polaris Experience, Laurien M. Buffart, Marlou Floor Kenkhuis, Robert U. Newton, Anne M. May, Daniel A. Galvão, Kerry S. Courneya

Research outputs 2022 to 2026

Numerous exercise oncology trials have been completed, greatly informing exercise recommendations for patients with cancer. Exercise medicine can be administered in various types, doses, and schedules at various time points. Advancing precision exercise medicine requires understanding of how the effects of different exercise interventions vary by characteristics of individual patients. The Predicting OptimaL cAncer RehabIlitation and Supportive care (POLARIS) study provides an international infrastructure and shared database to perform pooled analyses of individual patient data (IPD) from multiple randomized controlled trials. This commentary aims to highlight the value of pooled IPD analyses, summarize key findings from published pooled IPD analyses …

Co-Designing A Resilience-Based Mentoring Program For Novice Midwives: A Participatory Action Research Approach, Dianne Bloxsome, Tracy Martin, Kaoru Nosaka, Sara Bayes

Research outputs 2022 to 2026

Aim: To co-design a resilience-based mentoring program for novice midwives in Western Australia, informed by the experiences of past midwifery graduates and the perspectives of midwives in senior roles. Background: Effective workforce planning and retention strategies are essential in preventing the continued loss of midwives and in attracting newly qualified midwives to healthcare organisations. Transitioning from student to registered midwife is a known period of vulnerability that requires structured, evidence-informed support. Design: A Participatory Action Research (PAR) approach was adopted to collaboratively develop a mentoring program tailored to the transition needs of newly qualified midwives. Methods: Fourteen participants contributed to …

Decarbonising The Uk Pulp, Paper And Printing Sector: Balancing Sustainability And Global Competitiveness Through Insights From Lmdi And Mrio Analysis, T. Ibn-Mohammed, A. C. Serrenho, H. Fujii, A. Acquaye, A. Morrison-Saunders

Research outputs 2022 to 2026

The United Kingdom's pulp, paper, and printing sector (UKPPP) contributes ∼6 % of the nation's industrial CO2 emissions. While these emissions have declined since 2000, mainly because roughly half its paper mills closed due to global competitiveness challenges, other factors influencing emission dynamics (e.g., carbon intensity, energy intensity, fossil fuel dependency, economic structure, and activities) remain quantitatively unevaluated in comparison to other top global PPP countries (TGPPP). Additionally, the UKPPP relies on imports from TGPPP. Yet, a comprehensive modelling of the ecological CO2 emission exchanges and a comparison of sectoral production structures and emission dynamics between these entities have not …

My Mum Sometimes Helps Me With My Writing: Parents' And Children's Perspectives Of Home-Led Writing, Bronte Kelso-Marsh, Anabela Abreu Malpique, Helen Davis

Research outputs 2022 to 2026

This qualitative study aimed to explore parents' and children's perspectives of parental involvement in children's writing. Theoretical models argue for the benefits of parental involvement to supporting children's learning. Research has placed little attention in examining parental involvement in children's writing. Participants included 27 Australian Year 2 parent-child dyads, who were interviewed about their home-led writing. Results suggested parents and children valued parental involvement. Despite this, parents reported little communication from teachers about supporting their child's writing. Implications include encouraging stronger partnerships and more frequent communication between parents and schools to help support children's writing across home and school fronts.

Co-Design Of A Weekly Meal Box For Neurological Conditions: Findings From Consumer And Healthcare Provider Collaborative Workshops, Joanna Rees, Kelly Moes, Amanda Devine, Melanie Clark, Ros Sambell, Simon Laws, Travis Cruickshank

Research outputs 2022 to 2026

Introduction: This study explores the collaborative co-design process for developing a weekly meal box tailored for individuals with neurological conditions. Recognising the critical role of nutrition for this community, the research addresses the challenges posed by cognitive and physical impairments in meal preparation. Methods: Through two co-design workshops involving consumers, healthcare providers and industry experts, insights were gathered on dietary preferences, nutritional needs and practical challenges. Results: The workshops emphasised the importance of convenient, easy-to-prepare meals with simple instructions, flexibility and customisability. Consumers expressed preferences for convenient, easy-to-prepare meals with simple, easy-to-follow recipe instructions that align with optimal dietary patterns …

Exploring Preferences For Interventions To Increase Active School Transportation Among Children And Adolescents In Australia, Anna Gannett, Paula Hooper, Julie Saunders, Gina Trapp

Research outputs 2022 to 2026

Introduction: The observed decline in children's active school transport (AST) across numerous countries over recent decades necessitates targeted, multi-level interventions to reverse this trend. However, data on young people's preferred AST interventions is lacking. This study aimed to explore children's preferences for AST interventions and assess differences between AST users and non-users among primary and secondary school students. Methods: In 2023, a cross-sectional survey was conducted in Perth, Western Australia with n = 742 primary school students from 23 schools and n = 412 secondary school students from 9 schools. The survey assessed AST frequency, preferred transport mode, and AST …

Soft Sensing Of Biological Oxygen Demand In Industrial Wastewater Using Machine Learning Models, Muhammad Hassnain, Sarada M.W. Lee, Muhammad Rizwan Azhar

Research outputs 2022 to 2026

Traditional methods for determining biological oxygen demand (BOD) from industrial water resource recovery facilities (WRRFs) are time-consuming and often impractical for real-time process control. This study explores the application of machine learning (ML) and artificial intelligence (AI) models for the prediction of final effluent BOD (F-BOD) based on physicochemical and operational parameters by leveraging nineteen years of historical laboratory and instrumentation data from the WRRF of an essential oil manufacturing plant. The predictions from these models are then used to simulate the process dynamics, assessing the optimal operational boundary conditions for all input parameters at which the target (F-BOD) falls …

Understanding Interprofessional Co-Debriefing Practices Within Large Scale Ward-Based Simulation, Melanie Barlow, Robyn Dickie, Alycia Jacob, Shari Maver, Nick Flynn, Alison Blunt, Susan Darzins, Hugh Davies, Michelle Smith-Tamaray, Elisabeth Jacob

Research outputs 2022 to 2026

Background: Despite growing use of interprofessional simulation in healthcare education, there is a lack of published frameworks to guide structured, co-facilitated debriefing between professions. This study explored how nursing and allied health facilitators engage in interprofessional co-debriefing within a large-scale, ward-based simulation program involving over 2000 health students. Methods: Twelve interprofessional co-debriefings were observed and assessed using the debriefing assessment for simulation in healthcare (DASH) tool, with both rater (observer) and instructor (debriefer) versions. Mean debriefing assessment for simulation in healthcare (DASH) scores were compared across five core elements. Qualitative data from instructor short-answer responses and observer field notes were …

Assessing Compliance With Evolving Exposure Standards: Respirable Crystalline Silica (Rcs) Exposure In Western Australian Mining, Adelle Liebenberg, Kiam Padamsey, Kerry Staples, Matthew Oosthuizen, Marcus Cattani, Andy Mccarthy, Jacques Oosthuizen

Research outputs 2022 to 2026

The link between occupational exposure to Respirable Crystalline Silica (RCS) and silicosis, a potentially fatal respiratory disease, has been well-established, leading to global reductions in RCS Exposure Standards (ES). In Western Australia (WA), RCS data have been collected by the Department of Energy, Mining, Industry Regulation and Safety (DEMIRS) from 1986 to 2024 (n = 144,141). These results were analysed to assess the impacts of recent changes to the ES on compliance. Findings suggest that the WA mining sector, regardless of commodity type, is compliant with RCS exposures as assessed against the 0.05 mg/m³ ES (2019). Laboratory technicians, exploratory …

Family Income And Polygenic Scores Are Independently But Not Interactively Associated With Cognitive Performance Among Youth Genetically Similar To European Reference Populations, S E Paul, N M Elsayed, S M C Colbert, R Bogdan, A S Hatoum, D M Barch

2020-Current year OA Pubs

Cognitive abilities are heritable and influenced by socioeconomic status (SES). It is critical to understand the association between SES and cognition beyond genetic propensity to inform potential benefits of SES-based interventions and to determine if such associations vary across (i) cognitive domains, (ii) facets of SES, and/or (iii) genetic propensity for different aspects of cognition. We examined the contributions of neighborhood socioeconomic advantage, family income, and polygenic scores (PGS) for domains of cognition (i.e., general cognitive ability, executive function, learning and memory, fluid reasoning) in a sample of children (ages 9-10;

Design Of A Robust Adaptive Cascade Fractional-Order Proportional–Integral–Derivative Controller Enhanced By Reinforcement Learning Algorithm For Speed Regulation Of Brushless Dc Motor In Electric Vehicles, Seyyed Morteza Ghamari, Mehrdad Ghahramani, Daryoush Habibi, Asma Aziz

Research outputs 2022 to 2026

Brushless DC (BLDC) motors are commonly used in electric vehicles (EVs) because of their efficiency, small size and great torque-speed performance. These motors have a few benefits such as low maintenance, increased reliability and power density. Nevertheless, BLDC motors are highly nonlinear and their dynamics are very complicated, in particular, under changing load and supply conditions. The above features require the design of strong and adaptable control methods that can ensure performance over a broad spectrum of disturbances and uncertainties. In order to overcome these issues, this paper uses a Fractional-Order Proportional-Integral-Derivative (FOPID) controller that offers better control precision, better …

I’M Here Whether I Like It Or Not: A Focused Ethnographic Description Of Transition Into Residential Aged Care, Stacey Scott, Annette Raynor, Julie Dare, Jennifer Grieve, Leesa Costello

Research outputs 2022 to 2026

Transition into residential aged care (RAC) is a challenging process, often characterised by vulnerability, fear, and isolation. This study aimed to provide a contextualised description of transition within a care-facility in Australia to deepen our understanding of this major life event. A focused ethnography was conducted, which included formal interviews with residents during their first 6 months of living in RAC. The findings provide an account of the participants’ views on acceptance, highlight the challenges of loss, and showcase the coping practices new residents used. This paper provides a type of report card for the sector, which reveals that there …

Membrane Fouling Dynamics And Flux Optimization In The Ultrafiltration Of Chlorella Sp. Mur 269 And Dunaliella Salina Cs 744/01, Victor Okorie Mkpuma, Mohadeseh Najafi, Javad Farahbakhsh, Masoumeh Zargar, Navid Reza Moheimani, Houda Ennaceri

Research outputs 2022 to 2026

Membrane filtration has emerged as a viable technique for microalgal dewatering. However, fouling constraints limit their large-scale implementation. In this research, the fouling patterns during ultrafiltration of Chlorella sp. and Dunaliella salina were investigated using both dead-end and crossflow filtration modules. Chlorella sp. filtration in the dead-end module revealed an initial flux of 72.02 L.m⁻².h⁻¹ in the first cycle, which rapidly decreased to 19.18 L.m⁻².h⁻¹ within 30 min. In the second and third cycles, the initial flux exhibited decreases of 23 % and 50 %, respectively. Chlorella sp. demonstrated lower fouling than D. salina …

Temporal Eating Patterns And Ultra-Processed Food Consumption Assessed From Mobile Food Records Of Australian Adults, Janelle D. Healy, Satvinder S. Dhaliwal, Christina M. Pollard, Amelia J. Harray, Lauren Blekkenhorst, Fengqing Zhu, Deborah A. Kerr

Research outputs 2022 to 2026

Background/Objective: Temporal eating patterns and ultra-processed food (UPF) consumption have independently been associated with obesity and non-communicable diseases. Little is known about the temporal patterns of UPF consumption, as data is challenging to collect. Temporal data can be extracted from mobile food records (mFRs). The aim of this study was to identify the temporal eating patterns of those consuming UPFs using an mFR. Methods: A combined sample of 243 young (18–30 years) and 148 older (>30 years) adults completed a 4-day mFR. The time of eating was extracted from the mFR image metadata. UPFs were identified using the NOVA …

The Consequences Of Habitual Rumination, Expressive Suppression, And Perceived Stress On Mental And Physical Health Among Older Adults, Eyal Gringart, Rodrigo Becerra, Andrea Smith

Research outputs 2022 to 2026

Background/Objectives: The current study aimed to investigate whether habitual rumination, suppression, and perceived stress predict poor mental and physical health as well as well-being in a group of older adults (aged 50 to 80 years) from a non-clinical community sample. Methods: The current study comprised a cross-sectional survey design with online self-report measures. It was predicted that higher levels of rumination, suppression, and perceived stress would predict lower levels of general health as well as well-being, and heightened levels of depression and anxiety. Results: Findings from the study indicated that both rumination and perceived stress significantly predicted heightened anxiety, heightened …