Digital Commons Network^™

Remedying Copyright For Indigenous Australians: A Stolen Generations Perspective, Elizabeth Serventy, Koutras

Research outputs 2022 to 2026

This study presents a Judicial Intersectionality method that incorporates knowledge from arts, humanities, natural sciences, and social sciences. It aims to examine how historical legal, political, and social injustices against Indigenous Australians have persisted in various spheres. When considering the Stolen Generations period, attention is directed on addressing the existing insufficient copyright rights and enhancing future legal results for Indigenous artists. In order to achieve that objective, a unique and distinct copyright system is regarded as the most suitable resolution. Philosophically and pragmatically, this approach was aligned with the Australian Government's 2023 Referendum, which aimed to grant constitutional status to …

Essential Role Of Cd63 In Maintaining Corneal Epithelial Identity In The Human Limbus, Yuzuru Sasamoto, Kosei Suzuki, Shinri Sato, Catherine A.A. Lee, Gabrielle Martin, Bruce R. Ksander, Markus H. Frank, Natasha Y. Frank

Research outputs 2022 to 2026

Purpose: Building on the identification of ABCB5 as a marker of limbal stem cells (LSCs), this study examines CD63, a newly identified molecule co-expressed with ABCB5 in limbal epithelial cells, to define its role in maintaining corneal epithelial cell identity. Methods: RNA sequencing (RNA-seq) was performed on flow cytometry–sorted Abcb5-positive and Abcb5-negative murine corneal epithelial cells. CD63 expression in human corneal tissue was assessed by immunostaining. CD63 was silenced in cultured human limbal epithelial cells using siRNA-mediated knockdown and resulting molecular and cellular changes were analyzed by qRT-PCR, flow cytometry, RNA-seq, Western blotting, and cell proliferation assays. Results: RNA-seq analysis …

Effect Of A 6-Week Structured Exercise Intervention On Tnf-Α During The Chronic Recovery Phase Of A Burn Injury Compared To Regular Daily Activities: A Pilot Randomised Cross-Over Trial, Tyler Jerome Osborne, Grant Rowe, Dale W. Edgar, Mark Fear, Fiona M. Wood, Timothy Fairchild, Brook Galna, Pippa Kenworthy, Brad Wall

Research outputs 2022 to 2026

Background: Burn injury induces a prolonged inflammatory response that may contribute to long-term metabolic dysfunction. Exercise is known to reduce inflammation in various clinical populations; however, its effect on chronic post-burn inflammation remains unclear. This crossover trial investigated the impact of a 6-week exercise intervention on tumour necrosis factor-alpha (TNF-α) in adults with non-severe burns sustained more than one year prior. Methods: Twenty-one participants were randomised to complete either a 6-week exercise program or a control period first, separated by a 4-week washout. The exercise program comprised three supervised sessions per week of combined resistance and cardiovascular training. Primary (TNF-α) …

Addressing System Strength And Reliability Concerns In Renewable Energy-Based Weak Grids Using Synchronous Condensers Determined By Hybrid Gru-Classical Optimization Method, Md Ohirul Qays, Iftekhar Ahmad, Daryoush Habibi, Mohammad A.S. Masoum, Thair Mahmoud

Research outputs 2022 to 2026

Owing to the higher-integration of renewable energy generators (REGs), conventional coal-based synchronous generators are being decommissioned from generation fleets, resulting in system strength and reliability concerns. Along with the increasing load demand, deficiency of system strength can be a huge risk to system stability and can eventually lead to blackouts by disconnecting REGs from grid systems. In the literature, researchers and power engineers have proposed to deploy synchronous condensers (SynCons) as a mitigation strategy to address the system strength and reliability challenges. SynCons are, however, expensive and require investigation for higher reliability results before installation. To address the concerns, SynCons’ …

Emerging Design Paradigms And Microstructural Innovations In Refractory High-Entropy Alloys: A Critical Review, Deyu A. Jiang, Lai Chang Zhang, Kuaishe Wang, Mahmoud Ebrahimi, Wen Wang, Liqiang Wang, Weijie Lu, Di Zhang

Research outputs 2022 to 2026

Refractory high-entropy alloys (RHEAs) are being developed to meet mechanical, thermal and chemical requirements that exceed what current super-alloys can withstand. This review explains how composition design, processing routes and the resulting microstructures now combine to realize that potential. We first link phase selection in BCC-, FCC- and dual-phase RHEAs to atomic-size mismatch, mixing enthalpy and valence-electron concentration, and compare manufacturing paths ranging from arc melting to powder metallurgy, additive manufacturing and vapor deposition, showing how each reshapes grain structure and defect chemistry to improve high-temperature strength, corrosion resistance and irradiation tolerance. Computation-led tools—density-functional theory, calculation of phase diagrams and …

Participatory Action Research (Par) In Designing A Supplementary Animated Teaching Resource To Support Learning Cervical Assessment, Michelle Gray, Shelley Stuart, Melanie Welfare

Research outputs 2022 to 2026

Aim: To create an education resource that assists students to understand the movement of the cervix during labour from a posterior retroverted position to a central location, cervical effacement, dilatation of the cervix and descent of the fetal skull. Background: Learning about anatomy and physiology in relation to cervical effacement and dilatation are abstract concepts that are difficult to understand from reading alone. Diagrams are of little assistance however 3D animation has the potential to improve students learning experiences. Design: Participatory Action Research (PAR) using the 7 C's Feekery Framework approach was adopted. Participants became coresearchers in conceptualising the learning …

Physical Fitness And Executive Functions In Early Childhood: A Systematic Review Of Recent Evidence, Nemanja Lakicevic, Marko Manojlovic, Elena Chichinina, Apollinaria Chursina, Kristina Tarasova, Ewan Thomas, Yuming Zhong, Antonino Bianco, Patrik Drid

Research outputs 2022 to 2026

Background Optimizing physical fitness (PF) and developing executive functions (EFs) is of great importance in preschool children. The link between PF, obtained through repetitive physical activity, and EFs is gaining increasing attention in recent years and we sought to systematically search the literature on the relationship between PF and EFs in preschool children published in the last five years. Methods Web of Science, Scopus, and PubMed were databases searched for the relevant literature. Original studies written in English and published in peer-reviewed journals including healthy children aged 3–6 years who were simultaneously tested for PF and EFs were considered eligible. …

Clinical Insights Into The Management Of Sleep Disturbances Within Cancer Care: A Qualitative Analysis, Sam Adams, Timothy D. Clay, Mitchell Turner, Christopher Kueh, Kelly Moes, Travis Cruickshank

Research outputs 2022 to 2026

Purpose: The present study aimed to gain a deeper understanding of how oncology healthcare professionals’ (HCPs) manage sleep disturbances. Methods: Semi-structured interviews were conducted with 10 oncology HCPs (medical oncologists, oncology nurse practitioners, clinical nurse consultants) working in metropolitan Perth, Western Australia. Reflexive thematic analysis was used to understand oncology HCPs’ perspectives on treating sleep disturbances, explore challenges and barriers to their management, as well as opportunities for improvement. Results: Four main themes were developed: (1) sleep disturbances are underreported and underassessed, (2) poor sleep can be difficult to manage, (3) limited capacity to address sleep issues, and (4) opportunities …

Explainable Artificial Intelligence Models For Detecting Suspicious Bank Transactions, Narasimha Kumar Narasapuram, Syed Afaq Ali Shah, Mohd Fairuz Shiratuddin, Ferdous Sohel

Research outputs 2022 to 2026

Detecting financial crime is a complex challenge due to evolving criminal strategies and fragmented detection systems, particularly in the areas of money laundering and fraud. While it is easy to implement, traditional rule-based approaches lack adaptability to new threats, and machine learning models, though more effective, often function as opaque "black boxes," limiting their practical use in regulated domains like banking, where interpretability and accountability are essential. This research presents a novel framework that combines intrinsic and post-hoc XAI techniques to detect suspicious bank transactions. Intrinsic methods provide model-inherent transparency, while post-hoc methods offer behavior-level explanations, enabling robust cross-verification of …

Optimizing Agility Training In Team Sport Players—The Role Of Perception-Action Coupling: A Systematic Review With Multi-Level Meta-Analysis, Zhiwei Zhao, Yuhang Liu, Kai Xu

Research outputs 2022 to 2026

Agility, characterized by rapid whole-body movement in response to external stimuli, is a key performance determinant in team sports owing to its reliance on perception-action coupling. Despite its importance, existing evidence on training effects is disproportionately focused on change-of-direction ability, overlooking the perceptual-cognitive demands of true agility. This systematic review therefore sought to quantify the effects of agility-specific training, examine moderators and establish dose-response model in team-sport players, while accounting for perception-action coupling. Following PRISMA 2020 guidelines, systematic searches were conducted in Web of Science, Scopus and PubMed for peer-reviewed English-language studies. Risk of bias was appraised using a modified …

Pleural Metastases From Acral Lentiginous Melanoma Diagnosed By Medical Thoracoscopy, Ad Rian Chong, Khai Lip Ng, Nai-Chien Huan, Nur Husna Mohd Aminudin, Fazilah Hassan, Kasuma Mohamed Nordin

Research outputs 2022 to 2026

Acral lentiginous melanoma (ALM) with pleural metastases is rare and under-recognised. We report an 86-year-old woman with progressive dyspnoea and pleuritic chest pain. 18 months ago, she was diagnosed with stage IIC ALM of the right heel, and was treated with wide local excision, but she declined adjuvant therapy. Imaging demonstrated a large left pleural effusion with diffuse pleural thickening, pulmonary mass, and hepatic metastases. Brownish pleural fluid, along with thoracoscopic identification of multiple pigmented nodules, led to a histologically confirmed diagnosis. Talc pleurodesis was performed for symptom control, and best supportive care was pursued. This case highlights the diagnostic …

Reimagining Peer-Led Support In Doctoral Nursing And Midwifery Education: A Collaborative Autoethnographic Case Study, Gideon U. Johnson, Sachini Thennakoon, Mayumi Kumarage, Emy Toutountzis, Lisa Whitehead

Research outputs 2022 to 2026

Aim: To explore how peer-led initiatives can enhance connection, belonging and sustainability within higher degree by research (HDR) nursing and midwifery programmes. Background: HDR study can be an isolating experience, often characterised by fragmented support and limited opportunities for structured peer learning. While institutions provide formal mechanisms for supervision and progress, less attention has been given to student-led approaches that cultivate inclusive scholarly communities and sustained peer engagement. Design: Collaborative autoethnographic case study. Methods: HDR student representatives and academic staff at Edith Cowan University, Australia (2022–2024), reflected collaboratively on the design, implementation and impact of peer-led initiatives, including monthly hybrid …

Synergist Free Solvent Extraction Of Lithium From Alkaline Salt Lake Brines Using Thenoyltrifluoroacetone In Octanol, Shayan Abrishami, Amir Razmjou

Research outputs 2022 to 2026

The growing demand for lithium in energy storage applications necessitates the development of efficient and selective extraction technologies for recovering lithium from alkaline brines containing high concentrations of competing alkali metals. This study presents an investigation of a thenoyltrifluoroacetone (TTA)-octanol solvent extraction system for selective lithium recovery from high‑sodium brines, utilizing 1-octanol as an environmentally benign diluent without requiring any synergistic co-extractant. Through systematic optimization of key operational parameters including pH, extractant concentration, scrubbing conditions, and stripping agent concentration, the system demonstrated excellent performance with lithium extraction efficiency of 67.5% ± 3.4% and a maximum separation factor of 28.0 ± …

Linkage Disequilibrium Score Regression Identifies Genetic Correlations Between Hepatocellular Carcinoma And Clinically Relevant Traits, Younghun Han, Vikram R Shaw, Jinyoung Byun, Aaron P Thrift, Catherine Zhu, Donghui Li, Rikita I Hatia, Robin Kate Kelley, Sean P Cleary, Anna S Lok, Paige M Bracci, Jennifer B Permuth, Roxana Bucur, Jennifer Knox, Jian-Min Yuan, Amit G Singal, Prasun K Jalal, R Mark Ghobrial, Yuko Kono, Dimpy P Shah, Mindie H Nguyen, Neehar D Parikh, Richard Kim, Hui-Chen Wu, Hashem El-Serag, Ping Chang, Yun Shin Chun, Jian Gu, Chad Huff, Asif Rashid, Lu-Yu Hwang, Alison P Klein, Saira A Khaderi, Ahmed O Kaseb, Kathrine A Mcglynn, Lewis R Roberts, Manal M Hassan, Christopher I Amos

Faculty, Staff and Students Publications

Hepatocellular carcinoma (HCC) mortality is increasing globally, partly due to the growing prevalence of nonviral liver diseases. Genome-wide association studies (GWAS) have identified genetic variants associated with HCC development. Leveraging GWAS summary statistics and linkage disequilibrium score regression (LDSR), we investigated disease co-development with hepatitis C virus-negative (HCV-negative) HCC to provide unique insights into HCC etiology and prioritize relationships for further causal inquiry. We utilized the LDSR statistical framework to estimate the genetic correlation and heritability between HCV-negative HCC with 901 epidemiologic, behavioral, and clinical traits from the United Kingdom Biobank (UKBB). First, we set the threshold for observed scale …

A Closer Look At The Innovator: The Interplay Between Divergent And Convergent Processes Of Self-Regulation, Ronald Bledow, Hye Jung Eun, Lien Vossaert

Research Collection Lee Kong Chian School Of Business

Creativity and innovation are essential for modern organizations. While abundant research has helped to better understand creativity in everyday work life, considerably less attention has been paid to how individuals achieve creative performance during the implementation of innovation projects. We articulate a dialectical interplay between divergent and convergent processes of self-regulation that supports creative performance in innovation projects. We propose that a divergent exploration orientation contributes to creative performance by inducing a broad search for novelty and by stimulating iteration—repeated cycles of experimentation and refinement. Convergent processes of self-regulation—outcome focus and planning—strengthen the relationship between divergent processes and creative performance. …

Understanding Desired Greater Collaboration Ties, Seong Won Yang, Giuseppe Labianca, James A. Coutinho, Andrew Pilny, Daniel J. Brass, Carlo J. Labianca

Sociology Faculty Publications

Whereas organizational network studies infer employees’ agentic desires through observed network changes, we capture desires to collaborate more closely with co-workers directly through a survey. We argue that formal structures create workflow dependencies between employees as they gather others’ inputs to complete their tasks, and individuals desire to alter their networks to manage those dependencies using the following two main collaborative approaches: (1) collaborating more intensely with existing formal workflow network partners; and (2) engaging in bypassing approaches with specific partners outside of their prescribed formal workflow. We found that employees pursued a tie-strengthening approach with formal partners they already …

Jetstream Spring 2026, Nancy Anzalone, Susan Bloom, Courtney Dalfonso, Nikki Palumbo

JETstream: Library Newsletter

This edition of JETstream highlights the "Beat the Blahs" potluck, new Learning Services for writing, tutoring and a collaboration with North Shore High School, a Library user survey for Graduate and Doctoral students, new librarian profiles, and adjustments to two study locations in Public Square and the third floor of the JET Library. Also noted are upcoming events and services.

Delegation And Verification Under Ai, Lingxiao Huang, Wenyang Xiao, Nisheeth K. Vishnoi

Cowles Foundation Discussion Papers

As AI systems enter institutional workflows, workers must decide whether to delegate task execution to AI and how much effort to invest in verifying AI outputs, while institutions evaluate workers using outcome-based standards that may misalign with workers’ private costs. We model delegation and verification as the solution to a rational worker’s optimization problem, and define worker quality by evaluating an institution-centered utility (distinct from the worker’s objective) at the resulting optimal action. We formally characterize optimal worker workflows and show that AI induces phase transitions, where arbitrarily small differences in verification ability lead to sharply different behaviors. As a …

On Local Overidentification And Efficiency Gains In Modern Causal Inference And Data Combination, Xiaohong Chen, Haitian Xie

Cowles Foundation Discussion Papers

This paper studies nonparametric local (over-)identification and the semiparametric efficiency in modern causal frameworks. We develop a unified approach that begins by translating structural models with latent variables into their induced statistical models of observables and then analyzes local overidentification through conditional moment restrictions. We apply this approach to three popular classes of causal models: (1) the general treatment model under unconfoundedness; (2) the negative control model, and (3) the long-term causal inference model under unobserved confounding. The first model yields a locally just-identified statistical model, implying that all regular asymptotically linear estimators of the treatment effect have the same …

Triple/Double-Debiased Lasso, Denis Chetverikov, Joseph R.V. Sørensen, Aleh Tsyvinski

Cowles Foundation Discussion Papers

In this paper, we propose a triple (or double-debiased) Lasso estimator for inference on a low-dimensional parameter in high-dimensional linear regression models. The estimator is based on a moment function that satisfies not only first- but also second-order Neyman orthogonality conditions, thereby eliminating both the leading bias and the second-order bias induced by regularization. We derive an asymptotic linear representation for the proposed estimator and show that its remainder terms are never larger and are often smaller in order than those in the corresponding asymptotic linear representation for the standard double Lasso estimator. Because of this improvement, the triple Lasso …

First Proof Solutions And Comments, Mohammed Abouzaid, Andrew J. Blumberg, Martin Hairer, Joe Kileel, Tamara G. Kolda, Paul D. Nelson, Daniel Spielman, Nikhil Srivastava, Rachel Ward, Shmuel Weinberger, Lauren Williams

Cowles Foundation Discussion Papers

Here we provide our solutions to the First Proof questions. We also discuss the best responses from publicly available AI systems that we were able to obtain in our experiments prior to the release of the problems on February 5, 2025. We hope this discussion will help readers with the relevant domain expertise to assess such responses.

Stochastic Optimization And Coupling, Frank Yang, Kai Hao Yang

Cowles Foundation Discussion Papers

We study optimization problems in which a linear functional is maximized over probability measures that are dominated by a given measure according to an integral stochastic order in an arbitrary dimension. We show that the following four properties are equivalent for any such order: (i) the test function cone is closed under pointwise minimum, (ii) the value function is affine, (iii) the solution correspondence has a convex graph with decomposable extreme points, and (iv) every ordered pair of measures admits an order-preserving coupling. As corollaries, we derive the extreme and exposed point properties involving integral stochastic orders such as multidimensional …

Utep Oer Newsletter March 2026, Maria Teresa Torres, Inspire

OER Newsletters

No abstract provided.

Mainstreaming Mistrust: The Shift In Us Vaccine Policy Under The Trump Administration, Sanjin Musa, Amy Estlund, Megan A. Berman

Faculty Scholarship

Department of Health and Human Services led by Robert F. Kennedy Jr., represents a significant departure from long-standing public health norms. This commentary explores how historically marginalized anti-vaccine activism has moved into the mainstream of government oversight. Key actions driving this transition include the wholesale replacement of the Advisory Committee on Immunization Practices, the departure of senior CDC officials, and the public questioning of established childhood immunization schedules. Furthermore, the administration has ceased financial support for global health entities like the World Health Organization and Gavi, the Vaccine Alliance, while canceling funding for innovative mRNA vaccine platforms. 

These domestic policy …

Meta-Analysis Of Genetic Mapping Studies In Mice Reveals Candidate Epilepsy Modifier Genes That Are Outside The Current Drug Development Landscape., Giovanna L Durante, Anna L. Tyler, Rod C Scott, Amanda E Hernan, J Matthew Mahoney

Faculty Research 2026

OBJECTIVE: Despite decades of development in anti-seizure medications, ~30% of individuals remain refractory to all treatments, and none of the existing therapies are disease modifying. Identifying targets outside the current preclinical paradigm is critically important. This study aimed to characterize the landscape of current epilepsy treatments at the level of gene interaction networks and identify novel genetic modifiers of epilepsy as potential novel therapeutic targets.

METHODS: We performed a functional network analysis to score genes based on their interactions with known epilepsy genes, and we integrated these functional scores with population genetics data and drug tractability information. In parallel, we …

Prevalence Of, Edison Liu, Margaret Antonio, Tracy Nance, Francesca Menghi

Faculty Research 2026

PURPOSE: BRCA1 promoter methylation (BRCA1meth) affects 20%-27% of triple-negative breast cancer (TNBC) and ovarian cancer (OvCa) and has therapeutic predictive value in both cancer types. BRCA1meth is established during early embryonic development as a constitutional event, and its detection in the peripheral blood cells of unaffected women associates with increased risk for breast cancer and OvCa. Thus, facile and sensitive assessment of BRCA1meth is an important component for both risk assessment and the therapeutic management of these cancer types.

METHODS: We used the GRAIL circulating cell-free DNA (cfDNA)–based targeted meth- ylation platform to quantify BRCA1meth in cfDNA (cfBRCA1meth) from plasma …

Improving Gene Isoform Quantification With Miniquant., Haoran Li, Dingjie Wang, Qi Gao, Puwen Tan, Yunhao Wang, Xiaoyu Cai, Aifu Li, Yue Zhao, Andrew L Thurman, Seyed Amir Malekpour, Ying Zhang, Roberta Sala, Andrea Cipriano, Chia-Lin Wei, Vittorio Sebastiano, Chi Song, Nancy R Zhang, Kin Fai Au

Faculty Research 2026

RNA sequencing has been widely applied for gene isoform quantification, but limitations exist in quantifying isoforms of complex genes accurately, especially for short reads. Here we identify genes that are difficult to quantify accurately with short reads and illustrate the information benefit of using long reads to quantify these regions. We present miniQuant, which ranks genes with quantification errors caused by the ambiguity of read alignments and integrates the complementary strengths of long reads and short reads with optimal combination in a gene- and data-specific manner to achieve more accurate quantification. These results are supported by rigorous mathematical proofs, validated …

The Indian Law Aunties, Torey Dolan

UMKC Law Review

No abstract provided.

Resisting Overcompliance, Meera E. Deo

UMKC Law Review

No abstract provided.

Glp-1 Drugs And The Emerging Mass Tort Crisis: Navigating Legal Risks And Regulatory Gaps, Angelina Ferrara

UMKC Law Review

No abstract provided.