Digital Commons Network^™

Smags-Lasso: A Novel Feature Selection Method For Sensitivity Maximization In Early Cancer Detection, Hamid Khoshfekr Rudsari, Sara Khorami-Sarvestani, Johannes F Fahrmann, James P Long, Samir Hanash, Kim-Anh Do, Ehsan Irajizad

Faculty, Staff and Student Publications

Background: Sensitivity and specificity are foundational metrics for cancer detection tools. However, most machine learning algorithms prioritize overall accuracy during optimization, which fails to align with clinical priorities of early detection. We aim to develop a feature selection machine learning algorithm while maximizing sensitivity at a given specificity.

Methods: We developed SMAGS-LASSO, a machine learning algorithm that combines our developed Sensitivity Maximization at a Given Specificity (SMAGS) framework with L1 regularization for feature selection. This approach simultaneously optimizes sensitivity at user-defined specificity thresholds while performing feature selection. SMAGS-LASSO utilizes a custom loss function with L1 regularization and multiple parallel optimization …

Telemedicine Preexposure Prophylaxis Prescribing From A Large Online Us Company, Aaron J Siegler, Shi Hao Ernest Koh, Tristan Schukraft, Simon Mazzoni, Edwin Corbin-Gutierrez, Rupa R Patel, Patrick S Sullivan, Wenting Huang

2020-Current year OA Pubs

IMPORTANCE: HIV preexposure prophylaxis (PrEP) is highly effective in HIV prevention; telemedicine is a promising avenue for delivering PrEP care.

OBJECTIVE: To explore telemedicine delivery of PrEP care (telePrEP) by the largest telePrEP company in the US.

DESIGN, SETTING, AND PARTICIPANTS: This retrospective, single-arm cohort study used health record data of patients receiving telePrEP from MISTR LLC, a for-profit telehealth company, from November 27, 2018, to March 5, 2025. Patient characteristics and AIDSVu data were assessed to determine levels of PrEP use nationally. Retention in care was assessed for persons initiating PrEP in 2020, 2021, and 2022. Data were analyzed …

Knowledge Mapping And Visualized Analysis Of Research Progress In Onconephrology: A Bibliometric Analysis, Yiwei Wang, Shuling Fan, Wei Wang

Faculty, Staff and Student Publications

Objectives: Onconephrology is an expanding subspecialty focused on the management of cancer patients with renal injury. This study used a comprehensive bibliometric analysis to emphasize the need for cooperation between oncologists and nephrologists, exploring current trends and future research areas in onconephrology.

Methods: Relevant literature on onconephrology published between 1 January 2000 and 27 April 2024 was retrieved from the Science Citation Index Expanded of the Web of Science Core Collection, followed by manual screening. Bibliometric analyses were performed using CiteSpace, VOSviewer, and Bibliometrix software.

Results: A total of 1,853 publications, including 1,647 articles and 206 reviews, by 11,606 authors …

Secretory Iga Dysfunction Underlies Poor Prognosis In Fusobacterium-Infected Colorectal Cancer, Ilseok Choi, Kyung-A Kim, Sang Cheol Kim, Donghwan Park, Ki Taek Nam, Jun Hyung Cha, Seungbyn Baek, Junha Cha, Hye-Yeong Jo, Minsun Jung, Melody Y Zeng, Irina Matei, Susan Bullman, Joong Bae Ahn, Yoon Dae Han, Han Sang Kim, Insuk Lee

Faculty, Staff and Student Publications

Fusobacterium nucleatum (Fn) is commonly enriched in colorectal cancer (CRC) and associated with poor outcomes, though its mechanisms remain unclear. Our study investigated how Fn affects the tumor microenvironment through single-cell transcriptomic analyses of 42 CRC patient tissues, comparing Fn-positive and Fn-negative tumors. We discovered that Fn impairs IgA plasma cell development and secretory IgA (sIgA) production by disrupting communication with tumor-associated macrophages. Additional experiments in germ-free mice, together with our re-analysis of a publicly available single-cell RNA-seq data set from a CRC mouse model with an intact gut microbiome–both models having been orally gavaged with Fn–jointly validated the causal …

Array Of Mini-Graphene-Silicon Solar Cells Intermittently Recharges Storage Capacitors Powering A Temperature Sensor, Ashaduzzaman, Syed M. Rahman, Md R. Kabir, James M. Mangum, Hung Do, Gordon Carichner, David Blaauw, Paul M. Thibado

Physics Faculty Publications and Presentations

Developing autonomous sensor systems that draw power from the ambient environment is a critical step for creating the Internet of Things. In this study, the authors built dozens of graphene-based solar cells, wire bonded them into standard packages, and characterized the current-voltage characteristics of each under illumination. Next, solar cells were connected in series to increase the output voltage. Three different sets of solar cells were used to charge three storage capacitors to the voltage levels required by our temperature sensor. The storage capacitors require only a few minutes to charge, yet power the sensor system for more than 24 …

Implementing Primary Care Fall Prevention With The Steadi Algorithm Toolkit, Roslyn Pechet

Electronic Theses and Dissertations 2020 - Present

Falls among older adults remain a leading cause of morbidity and mortality, especially in underserved populations. The Centers for Disease Control and Prevention (CDC) developed the Stopping Elderly Accidents, Deaths, and Injuries (STEADI) toolkit to help providers systematically identify and address fall risks. The purpose of this Doctor of Nursing Practice (DNP) project was to implement and evaluate integration of the CDC STEADI toolkit within primary care at Palm Beach Program of All-Inclusive Care for the Elderly (PACE) Greenacres. The aim was to train the interprofessional leadership team to use the STEADI program to enhance knowledge, confidence, screening, and implementation …

Extracellular Domain Shedding Of Trop2 Activates Egfr Signaling To Drive Prostate Cancer Metastasis, Shiqin Liu, En-Chi Hsu, Merve Aslan, Fernando Garcia-Marques, Michelle Shen, Alifiani B Hartono, Francisco Solano, Kewei Le, Hyeonji Hwang, Chung S Lee, Abel Bermudez, Rosalie Nolley, Donna M Peehl, James D Brooks, Michael A Liss, Sharon J Pitteri, Tanya Stoyanova

Faculty, Staff and Student Publications

UNLABELLED: Metastasis is the main cause of prostate cancer-associated deaths, highlighting the urgent need to determine the mechanisms underlying prostate cancer progression. TROP2 (also known as tumor-associated calcium signal transducer 2) is an oncogenic transmembrane surface protein that is highly expressed in metastatic prostate cancer. Naturally occurring cleavage of TROP2 leads to a release of the TROP2 extracellular domain (TECD) into the extracellular environment. In this study, we identified an important functional role of TECD in prostate cancer metastasis. TECD was detectable in media from prostate cancer cells and serum from patients with clinically significant prostate cancer. Although shed TECD …

Acculturation, Values, And Acculturative Stress For Autistic Latino Emerging Adults And Spanish-Speaking Parents Participating In The ¡Iniciando! La Adultez Program, Antonio F Pagán, Miriam Ortiz, Erin Bernal, Katherine A Loveland, Ana Esparza, Cecilia Montiel-Nava, Ron Acierno

Faculty, Staff and Student Publications

Latino families with emerging adults diagnosed with Autism Spectrum Disorder (ASD) face unique challenges during the transition to adulthood, influenced by cultural values, acculturation, and systemic barriers. Acculturation and acculturative stress are particularly relevant in this population, as they navigate cultural adaptation while maintaining traditional values like familismo (family) and respeto (respect). These dynamics are further complicated by disparities in access to resources and culturally responsive interventions. This study explores the interplay of cultural values, acculturation, and acculturative stress among Latino emerging adults with ASD and their Spanish-speaking parents participating in a culturally adapted and translated intervention. Using a cross-sectional …

Obstetric And Neonatal Nurses' Experiences Of Caring For Immigrant Women From Culturally Diverse Backgrounds After Perinatal Death, Meredith Dickey

Student Dissertations

The ability of healthcare providers to meet the needs of immigrants from culturally diverse backgrounds has become increasingly essential as the United States faces the global migration crisis. Culturally diverse immigrant women, especially from areas of the world experiencing conflict, typically lack prenatal care and access to healthcare before coming to the United States, contributing to stillbirths and miscarriages among this population. The purpose of this qualitative research study was to explore obstetric and neonatal nurses’ experiences of caring for immigrant mothers from culturally diverse backgrounds after perinatal death. Knowledge gained from this study will contribute to a new understanding …

Love Affair With Thin Air: Mortality, Mastery, And The Consumerism Of Mountaineering, Kenneth Bates, Justine Rapp Farrell, Steven W. Kopp, Christopher Newman

Marketing Faculty Publications and Presentations

Mountaineering is arguably one of the most dangerous recreational challenges an individual may ever choose to undertake, yet millions of people annually venture above 8000 feet to challenge themselves in pursuit of personal goals, ideals, and support of individual values. But, why are consumers motivated to participate in such demanding and hazardous pursuits? This paper evaluates the psychological complexities surrounding adventure tourism as an act of consumerism, uncovering the pursuit of values, ideals, and identity transformation that is guided by one's own mortality salience. The present study seeks to examine consumer satisfaction beyond the simple pleasures of adventure and adrenaline …

Determinants Of Consumers' Mobile Network Continuance Intention: The Mediating Effects Of Cognitive And Affective Inertia, Fazlul Hoque, Pi Shen Seet, Stephanie Meek, Saalem Sadeque

Research outputs 2022 to 2026

Despite extensive research on customer continuance intention, few studies have explored the mediating roles of cognitive and affective inertia in shaping continuance intention, particularly in emerging markets. We address this gap in an empirical study, grounded in the SOR (Stimulus-Organism-Response) framework, that investigates how trust, satisfaction, and switching barriers influence mobile network users' continuance intention, with cognitive and affective inertia as mediators. Using Partial Least Squares Structural Equation Modelling (PLS-SEM), we analyzed primary data from 407 mobile phone users in Bangladesh, an emerging economy. The findings indicate that trust, satisfaction, and switching barriers have a significant influence on continuance intention. …

Looking At The Nose: Gender, Jewishness, And The Politics Of Visual Mediation, Laura Glitsos

Research outputs 2022 to 2026

The nose is a multisensory organ and a powerful bodily technology that helps orient the experience of consciousness in the material world, and yet, we have come to a socio-technological context so driven by ocularcentrism, largely as a result of the visual nature of social media and new media, that the nose is often reduced to just an idealised ‘shape’. This article explores how the contemporary construction and representation of the nose, especially on social media, is seated in a very long history of gendered and racialised politics. By examining the cultural and political implications of the nose through critical …

Piezoelectric Energy Harvesting From Roadways: Challenges, Advances, And Future Directions, Heba Mohamed Gaber, Mohamed Abdel-Raheem

Civil Engineering Faculty Publications

As the global demand for renewable energy intensifies, piezoelectric energy harvesting from roadways has emerged as a promising avenue for sustainable power generation. This systematic literature review analyzes 61 peer-reviewed studies to assess the feasibility, performance, and potential of integrating piezoelectric systems into roadway infrastructure. While technology faces challenges, such as high installation costs, limited energy output, and a scarcity of thorough economic evaluations, findings suggest it holds considerable promise as a supplementary renewable energy source. The review analyzes the operational characteristics and efficiencies of various piezoelectric transducers, identifies key factors influencing system performance, and evaluates recent technological advances. It …

Is Noise Exposure Associated With Impaired Extended High Frequency Hearing Despite A Normal Audiogram? A Systematic Review And Meta-Analysis, Sajana Aryal, Monica Trevino, Hansapani Rodrigo, Srikanta K. Mishra

School of Mathematical & Statistical Sciences Faculty Publications

Understanding the initial signature of noise-induced auditory damage remains a significant priority. Animal models suggest the cochlear base is particularly vulnerable to noise, raising the possibility that early-stage noise exposure could be linked to basal cochlear dysfunction, even when thresholds at 0.25-8 kHz are normal. To investigate this in humans, we conducted a meta-analysis following a systematic review, examining the association between noise exposure and hearing in frequencies from 9 to 20 kHz as a marker for basal cochlear dysfunction. Systematic review and meta-analysis followed PRISMA guidelines and the PICOS framework. Studies on noise exposure and hearing in the 9 …

What's Appealing In Mississippi?, Virginia C. Carlton

MC Law Review

No abstract provided.

Fifth Circuit And Mississippi Law: Asked And Answered (Or Not), Caroline B. Smith, Emily K. Lindsay, Jim Rosenblatt

MC Law Review

No abstract provided.

Liening On The Court: Examining Loblolly Properties, Llc V. Le Papillon Homeowner's Association, Inc. And The Future Of Lien Priority In Mississippi, Thomas C. Jones

MC Law Review

The Mississippi Supreme Court in Loblolly Properties, LLC v. Le Papillon Homeowner’s Association, Inc. held that the nonjudicial foreclosure of a deed of trust does not extinguish restrictive covenants to pay HOA fees that were filed after the recording of the deed of trust.  In doing so, the Court blatantly disregarded the fundamental understanding of lien priority in Mississippi, and also failed to explain how the policy behind lien priority would further be upheld in the future. This decision by the Supreme Court is incorrect and places Mississippi in a “super-minority” of jurisdictions on this issue.  The overwhelming majority of …

Antipsychotic Misuse: A Silent But Growing Public Health Hazard, Sumeet Bhardwaj, Karisma Pathak, Myra Mclenon, Steven Spector, Kevin Tu

Student Publications

Antipsychotic drugs are essential in the management of schizophrenia, bipolar disorder, and other psychiatric illnesses, but their use is closely linked to cardiometabolic side effects. Cardiometabolic side effects include weight gain, dyslipidemia, glucose intolerance, and increased cardiovascular morbidity and mortality. Mechanisms of cardiometabolic side effects involve disruption of the central nervous system’s ability to regulate appetite, peripheral metabolic effects, which are changes in metabolism outside the CNS, and receptor-level interactions, with second-generation antipsychotics generally posing a greater risk than first-generation agents. This review addresses current evidence on the cardiometabolic consequences of antipsychotic therapy, increasing inappropriate off-label use of antipsychotic drugs, …

Postinactivity Exercise Training Improves Sarcopenia Traits In 40–60-Year-Old Women Regardless Of Fortified Milk Supplementation, Joanne Trezise, Ricardo M. Lima, Sally D. Poppitt, Aaron C. Fanning, Amanda Devine, Anthony J. Blazevich

Research outputs 2022 to 2026

Background: The term sarcopenia was introduced to describe the age-related decline in muscle mass, but current definitions also include measures of muscle strength and function. Menopause increases sarcopenia risk and may exacerbate the adverse effects of physical inactivity. Exercise training is a potent stimulus to restore muscle health, and nutritional supplementation can further improve the outcomes. The purposes of this study were to examine the changes in a set of sarcopenia-related phenotypes induced by a 14-day step-reduction period followed by a 12-week exercise training programme, with or without fortified milk supplementation in healthy 40–60-year-old females, and to determine whether menopausal …

Exploring The Experiences And Needs Of Chinese Older Adults And Their Family Caregivers, Yu Huang

Research outputs 2022 to 2026

This multi-generational research project represents an academic partnership between Edith Cowan University (ECU) and Chung Wah Community Care (CWCC), conducted from February to August 2025. Through CWCC's established community participation programs, this collaboration provided both a rich platform for community engagement and an accessible entry point for an ECU Research Internship to collect and analyse in-depth data on the "homing" experiences of Chinese elderly immigrants in Australia.

The study employed a mixed-methods design, engaging 162 survey participants and 15 interview participants across CWCC's two service locations (Balcatta Hub and Willetton Hub) and one well-aged group of name as Evergreen College. …

Thermal Properties Of High Entropy Dual Phase (Hf,Nb,Ta,Ti,Zr,)C-(Hf,Nb,Ta,Ti,Zr)B2 Ceramics: Comparison With The High Entropy Single-Phase Ceramics And The Effect Of Wc Additions, Rubia Hassan, William G. Fahrenholtz, Gregory E. Hilmas

Materials Science and Engineering Faculty Research & Creative Works

The heat capacity, thermal diffusivity and thermal conductivity of (Hf,Nb,Ta,Ti,Zr)C-(Hf,Nb,Ta,Ti,Zr)B₂ high entropy dual phase ceramics were evaluated from room temperature to 1800 °C and compared with the constituent high entropy single phase ceramics of the same nominal compositions. Thermal conductivity of the (Hf,Nb,Ta,Ti,Zr)C-(Hf,Nb,Ta,Ti,Zr)B₂ dual phase ceramic increased from 17.7 W m⁻¹ K⁻¹ at room temperature to 54 W m⁻¹ K⁻¹ at 1800 °C. The addition of WC to the dual phase ceramic reduced its thermal conductivity. For the addition of 5 wt% WC, room temperature thermal conductivity was 16.8 W m⁻¹ K^{−1 …}

Effect Of Powder Recycling On Powder Characteristics And Mechanical Properties Of Materials Produced By Laser Powder Bed Fusion (Lpbf): A Review, Mihiretu Ganta, Marta Kurek, Arezoo Emdadi, Tadeusz Łagoda, Marek Pagáč

Materials Science and Engineering Faculty Research & Creative Works

As the Laser powder bed fusion (LPBF) process advances toward industrial-scale production, the sustainability of metal powder feedstocks has become a focal point of research. The powder recycling approach, while environmentally and economically favorable, results in a series of physicochemical variations that could compromise the part quality. The resulting variation in powder characteristics with powder recycling could affect the powder layer density and melt pool dynamics, resulting in defect formation and hindering the structural integrity of LPBFed parts. These alterations pose significant constraints to mechanical performance, particularly in fatigue-sensitive applications where even minor imperfections can substantially reduce service life. The …

Method To Measure Blast Overpressure Exposure On Military Personnel Using Orthogonal Sensor Orientations, Nicholas W. Kuehl, Catherine E. Johnson

Mining Engineering Faculty Research & Creative Works

Measuring and recording blast exposure to military personnel from shoulder-fired weaponry or improvised explosive devices to correlate health outcomes like mild traumatic brain injury has been a goal for many years. To ensure overpressure is recorded, sensor manufacturers either recommend multiple sensors on different parts of the body or have integrated multiple sensors into one unit. Despite this, knowing the sensor orientation in relation to the blast source is important to know if it's a head on, side on or oblique pressure recording. This research investigates whether pressures recorded at three independent orientations in the x, y and z planes …

Time-Resolved 3d Momentum Spectroscopy In Continuous Wave Atomic Photoionization Experiments, K. L. Romans, B. P. Acharya, A. H.N.C.De Silva, K. Foster, O. Russ, Daniel Fischer

Physics Faculty Research & Creative Works

An experimental continuous-wave (cw) pump-probe scheme is demonstrated by investigating the population and photoionization dynamics of an atomic system. In particular, 6Li atoms are initially prepared in optically pumped 22S1/2 and 22P3/2 states before being excited via multi-photon absorption from a tunable femtosecond laser. The subsequent cascade back to the ground state is analyzed by ionizing the atoms in the field of a cw optical dipole trap laser. Conventional spectroscopic methods, such as standard cold-target recoil ion momentum spectroscopy or velocity map imaging, cannot provide simultaneous momentum and time-resolved information on an event-by-event basis for the system investigated here. The …

Data Center Composite Load Model Parameters’ Tuning, Mohammed Sleiman, Amirreza Sahami, Oluwatimilehin Adeosun, Nathaniel Rice, Katelyn Vance

Electrical and Computer Engineering Faculty Research & Creative Works

The vast expansion of data center campuses has created concentrated and highly dynamic electrical loads that challenge traditional transmission system planning and protection studies. This paper presents a novel approach to model the load of data centers and validate their dynamic performance in a composite-load-model (CMLD) framework.

The data center has three major modules: a static element representing the static devices and busway impedance; an electronic-based element constituting power converters such as rectifiers and inverters, associated power supplies, and a motor-based element encompassing the induction nature of chillers, fans and pumps. Each module represented equivalent algebraic and differential equations depicting …

Mando-Llm: Heterogeneous Graph Transformers With Large Language Models For Smart Contract Vulnerability Detection, Nhat Minh Nguyen, Huu Hoang Nguyen, Long Le Thanh, Zahra Ahmadi, Thanh Nam Doan, Daoyuan Wu, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Detecting vulnerabilities in smart contracts is vital for the security and reliability of decentralized apps. To facilitate vulnerability detection, contract codes, including bug patterns, are represented as heterogeneous graphs with various nodes and edges, like control-flow and function-call graphs. However, existing graph learning techniques struggle with large, complex graphs. This paper presents MANDO-LLM, a novel framework that combines heterogeneous graph transformers (HGTs) with large language models (LLMs) for detecting vulnerabilities in smart contracts represented as heterogeneous contract graphs built upon control-flow and call graphs. MANDO-LLM uses LLMs to capture code features from control-flow and call data, customizes HGTs to learn …

Iostom: Offline Imitation Learning From Observations Via State Transition Occupancy Matching, Quang Anh Pham, Brahmanage Janaka Chathuranga Thilakarathna, Tien Mai, Akshat Kumar

Research Collection School Of Computing and Information Systems

Offline Learning from Observations (LfO) focuses on enabling agents to imitate expert behavior using datasets that contain only expert state trajectories and separate transition data with suboptimal actions. This setting is both practical and critical in real-world scenarios where direct environment interaction or access to expert action labels is costly, risky, or infeasible. Most existing LfO methods attempt to solve this problem through state or state-action occupancy matching. They typically rely on pretraining a discriminator to differentiate between expert and non-expert states, which could introduce errors and instability—especially when the discriminator is poorly trained. While recent discriminator-free methods have emerged, …

No Experts, No Problem: Avoidance Learning From Bad Demonstrations, Minh Huy Hoang, Tien Mai, Pradeep Varakantham

Research Collection School Of Computing and Information Systems

This paper addresses the problem of learning avoidance behavior within the context of offline imitation learning. In contrast to conventional methodologies that prioritize the replication of expert or near-expert demonstrations, our work investigates a setting where expert (or desirable) data is absent, and the objective is to learn to eschew undesirable actions by leveraging demonstrations of such behavior (i.e., learning from negative examples).To address this challenge, we propose a novel training objective grounded in the maximum entropy principle. We further characterize the fundamental properties of this objective function, reformulating the learning process as a cooperative inverse Q-learning task. Moreover, we …

Rising From Ashes: Generalized Federated Learning Via Dynamic Parameter Reset, Jiahao Wu, Ming Hu, Yanxin Yang, Xiaofei Xie, Zekai Chen, Chenyu Song, Mingsong Chen

Research Collection School Of Computing and Information Systems

Although Federated Learning (FL) is promising for privacy-preserving collaborative model training, it suffers from low inference performance due to heterogeneous client data. Due to heterogeneous data across clients, FL training easily learns client-specific overfitting features. Existing FL methods adopt coarsegrained averaging, which can easily cause the global model to get stuck in local optima, leading to poor generalization. Specifically, this paper presents a novel FL framework, FedPhoenix, to address this issue. It stochastically resets partial parameters in each round to destroy some features of the global model, guiding FL training to learn multiple generalized features for inference rather than specific …

Efskip: A New Error Feedback With Linear Speedup For Compressed Federated Learning With Arbitrary Data Heterogeneity, Hongyan Bao, Pengwen Chen, Ying Sun, Zhize Li

Research Collection School Of Computing and Information Systems

Due to the communication bottleneck in distributed and decentralized federated learning applications, algorithms using compressed communication have attracted significant attention. The Error Feedback (EF) is a widely-studied compression framework for convergence with biased compressors such as top-k sparsification. Although various improvements have been obtained in recent years, the theoretical guarantee for EF-type framework is still limited. Previous works either 1) rely on strong assumptions such as bounded gradient/dissimilarity assumptions, thus can not deal with arbitrary data heterogeneity and also slow the convergence speed, or 2) can not enjoy linear speedup in the number of clients. In this work, we propose …