Digital Commons Network^™

Mapping Charge Interactions In Intrinsically Disordered Proteins, Michael Phillips, Andrea Holla, Magdalena Wojtas, Aritra Chowdhury, Andrea Sottini, Sebastian L B König, Natalie Mutter, Nick Lamb, Jonathan Huihui, Monika Lopko, Andrea Soranno, Daniel Nettels, Andrzej Ożyhar, Benjamin Schuler, Kingshuk Ghosh

2020-Current year OA Pubs

Intrinsically disordered proteins (IDPs) are often rich in charged residues, and electrostatic interactions have a pronounced effect on their conformational distributions, interactions and functions. However, attaining quantitative understanding of electrostatics is challenging because of the sequence-specific arrangement of charges in the chain, the long-range nature of electrostatic interactions, charge screening, and the condensation of counterions-effects that all need to be taken into account self-consistently. Here, analytically tractable quantitative models are developed to predict ensemble average distances between any pair of residues in IDPs as a function of sequence and salt concentration, explicitly considering charge patterning. These models are tested systematically …

Single Zonular Fiber Extraction And Characterization: A Platform For Biomechanical, Biochemical And Structural Analyses, Riley Forinash, Sean Staggs, Steven Bassnett, Juan Rodriguez

2020-Current year OA Pubs

Zonular fibers are essential for suspending the lens within the eye and, in primates, for transmitting forces generated by the ciliary body to drive ocular accommodation. Despite their biomechanical importance, the response of these fibers to sudden strains, and the molecular basis of their exceptional durability remain poorly understood. This is due, in part, to the absence of tools for studying them in isolation. Here, we present a custom-built, cost-effective apparatus designed to isolate, manipulate, and characterize individual zonular fibers under controlled physical and chemical conditions. The apparatus enables quantification of elastic moduli, stress-relaxation behavior, Poisson's ratio, and response to …

Finding Significant Hits In Networks: A Network-Based Tool For Analyzing Gene-Level P-Values To Identify Significant Genes Missed By Standard Methods, Sandeep Acharya, Vaha Akbary Moghaddam, Wooseok J Jung, Yu S Kang, Shu Liao, Michael A Province, Michael R Brent

2020-Current year OA Pubs

Finding Significant Hits in Networks (FISHNET) uses prior biological knowledge, represented as gene interaction networks and gene function annotations, to identify genes that do not meet the genome-wide significance threshold but replicate, nonetheless. Its input is gene-level P-values from any source, including omicsWAS, aggregation of genome-wide association studies P-values, CRISPR screens, or differential expression analysis. It is based on the idea that genes whose P-values are low purely by chance are distributed randomly across networks and functions, so genes with suggestive P-values that cluster in densely connected subnetworks and share common functions are less likely to reflect chance and more …

Improvements In The Thermal Stability And Mechanical Robustness Of Holograms Recorded In Acrylamide/Polyvinyl Alcohol-Based Photopolymers Through The Use Of D-Sorbitol As A Plasticizer, Michael Murray, Aaron Byrne, Izabela Naydenova, Suzanne Martin

Research Outputs: 2025-Present

In this work, a photopolymer formulation is presented that demonstrates significant improvements in layer hardness and temperature stability, while retaining the excellent holographic recording characteristics and ease of preparation associated with acrylamide (AA)/polyvinyl alcohol (PVA)-based photopolymers. This is achieved through the use of N-phenyl glycine as an electron donor and, for the first time, D-Sorbitol, a naturally occurring sugar-alcohol, as a plasticizer. The plasticizing effect of D-Sorbitol is demonstrated through the minimal loss of diffraction efficiency (η) observed upon UV bleaching (fixing) of 500 lines/mm gratings, which is evidence for effective mass transport during holographic recording. This solves a key …

Temperature Dependence Of The Imaging Properties Of Holographic Lenses, Tomás Lloret, Jorge Lasarte, Suzanne Martin, Izabela Naydenova, Inmaculada Pascual

Research Outputs: 2025-Present

The demand for advanced photonic technologies to enhance augmented reality (AR) devices has led to a significant interest in new optical materials suitable for operation in sometimes challenging environmental conditions, such as elevated temperatures levels. Holographic optical lenses (HOLs), fabricated using holographic recording, offer several advantages over traditional refractive lenses, including greater versatility, lower cost, lower weight, and increased adaptability. In this study, we investigated the optical and thermal performance of HOLs recorded on four different photosensitive materials: Bayfol HX200, Bayfol HX120, a PVA/acrylamide-based photopolymer (AA/PVA), and a photopolymerisable hybrid sol–gel (PHSG). The lenses were exposed to thermal cycles 20 …

Using Large Language Models To Analyze Political Texts Through Natural Language Understanding, Kenneth Benoit, Scott De Marchi, Conor Laver, Michael Laver, Jinshuai Ma

Research Collection School of Social Sciences

Large language models (LLMs) offer scalable alternatives to human experts when analyzing political texts for meaning, using natural language understanding (NLU). Qualitative NLU methods relying on human experts are severely limited by cost and scalability. Statistical text-as-data methods are scalable but rely on strong and often unrealistic assumptions. We propose a systematic, scalable, and replicable method that can extend existing qualitative and quantitative approaches by using LLMs to interpret texts meaningfully rather than as mere data. Our ensemble means of LLM-generated estimates of party positions on six key issue dimensions correlate highly with equivalent mean ratings by country specialists. When …

When Stress Matters Most: Developmental Timing And Socio-Ecological Stressors Among Mexican-Origin Adolescents From Low-Income Immigrant Families, Ka I Ip, Wen Wen, Sujin Lee, Wei Xiang Sim, Su Yeong Kim

Research Collection School of Social Sciences

This study investigates the dynamic, time-varying associations between multiple socio-ecological stressors and internalizing symptoms among Mexican-origin youth from low-income immigrant families. Grounded in a socioecological framework and employing time-varying effect modeling (TVEM), we examine how stressors at the interpersonal, family, and neighborhood levels differentially influence anxiety and depressive symptoms across early adolescence (ages 11–13), middle adolescence (ages 14–17), and late adolescence/emerging adulthood (ages 18–20). Participants included 604 Mexican-origin adolescents (54% female) from low-income immigrant families, assessed across three waves spanning nine years. Five distinct stressors were identified: discrimination, foreigner stress, economic stress, language brokering stress, and neighborhood violence/non-safety. Results from …

Quality Of Human-Genai Collaboration And Its Driving Factors: A Symbiotic Agency Perspective, Jiayu Shang, Dan Huang, Songshan (Sam) Huang

Research outputs 2022 to 2026

Generative AI (GenAI) is increasingly integrated into users’ daily work as a collaborative partner. Drawing on the symbiotic agency theory, this study investigates the quality of human-GenAI collaboration using a mixed-methods approach, including qualitative interviews and quantitative surveys. Study 1 identified three dimensions of human-GenAI collaboration quality that comprise outcome quality, comfort, and efficiency; and six driving factors which can be categorized under human agency (domain knowledge, desire for control, and domestication ability), and GenAI agency (communication ability, working memory, and long-term memory). Study 2 applied fuzzy-set qualitative comparative analysis (fsQCA) to explore configurations of the driving factors that lead …

Measuring Plantar Flexor Voluntary Activation And Maximal Voluntary Contraction In A Portable, Seated Method: A Validity And Reliability Study, Molly E. Coventry, Andrea B. Mosler, Paola T. Chivers, Brady D. Green, Ebonie K. Rio, Myles C. Murphy

Research outputs 2022 to 2026

Background: Voluntary activation testing quantifies the ability of the motor nervous system to produce maximal force. Laboratory assessment of ankle plantar flexor voluntary activation is common, but field testing in practical settings is limited by equipment portability. We aimed to compare plantar flexor voluntary activation and maximal voluntary contraction (MVC) using a portable device with a standardised laboratory method and evaluate the test–retest reliability of the portable protocol. Methods: We performed a pseudo-randomised, crossover design. Participants completed two protocols: (1) portable force plate testing and (2) a laboratory-based isokinetic dynamometer. Voluntary activation was assessed using twitch interpolation via tibial nerve …

Prescribing Tourism: Cultivating Positive Travel Experiences For Individuals With Health Conditions, Fangli Hu, Jun Wen, Sebastian Filep

Research outputs 2022 to 2026

Clinical evidence of tourism's health-related benefits for people with health conditions is notably scarce. Prescribing tourism, wherein medical professionals recommend engaging in tourism activities to enhance overall health and well-being, could offer unique insights into the tourism–health nexus. This paper adopted a conceptual approach, underpinned by a state-of-the-art literature review conducted in accordance with the PRISMA framework to identify knowledge gaps in the existing literature. This paper proposed prescribing tourism as a novel research agenda at the intersection of tourism and health, and further introduced it as a promising approach for people with health conditions, aiming to potentially minimise adverse …

Systematic, Bibliographic And Statistical Aspects On Multi Generation Recycled Concrete Materials Research: A Review, Henrique Comba Gomes, Maozhou Meng, Katie Jones, William Vevers, Aissa Bouaissi, Boksun Kim

School of Engineering, Computing and Mathematics

This article aimed to review the current literature related to the topic of multiple generation recycled concrete materials considering systematic, bibliographic and statistical aspects. The review was conducted from an adaptation from the systematic review for engineering and experiments (SREE) method. Papers wrote in English with scientific relevance, title and abstract full aligned with the topic were selected from Scopus and Web of Science databases. Bibliographic aspects highlighted the research novelty, the quality of research and prominence for future works. The systematic review aimed to provide insights in the literature concerning multiple recycling concrete materials. Some of the main aspects …

Unilateral Online Ultrasound Stimulation Of Early Visual Cortex Suppresses Responses To Contralateral Visual Stimuli, Suraya Dunsford, Keith Murphy, Ema Darrieutort, Elsa Fouragnan, Giorgio Ganis

School of Psychology

INTRODUCTION: Transcranial ultrasound stimulation (TUS) shows great promise for inducing neuroplastic changes that persist long after stimulation. Evidence of stimulation-locked (online) neural changes would enable the development of closed-loop application of TUS. However, such responses have been difficult to distinguish from coincident neural activity caused by auditory and somatosensory effects of TUS.

METHODS: To dissociate genuine online neuromodulatory effects from peripheral confounds, we leveraged the contralateral retinotopic organization of the early visual cortex in nineteen subjects. Using a hemifield visual stimulation paradigm combined with high-precision, functional MRI-guided TUS, we applied TUS to the left early visual cortex while participants viewed …

Shaq Koyok, Indigenous Storytelling, And Puppetry As Resistance, John Kilburn, Ivan Tacey, Emily Tacey

School of Art, Design and Architecture

Shaq Koyok is an Orang Asli indigenous Malaysian artist and activist. Following his keynote talk at the Illustration and the Paper Artefact conference, Ivan Tacey and John Kilburn met with Shaq to discuss how he uses puppetry in his artivist practice.

Spatial Profiling Reveals Distinct Molecular And Immune Evolution Of Mouse Lung Adenocarcinoma Precancers With Or Without Carcinogen Exposure, Bo Zhu, Muhammad Aminu, Pingjun Chen, Jian-Rong Li, Chuanpeng Dong, Chenyang Li, Yanhua Tian, Shao-Wei Lu, Hong Chen, Chenxi Ma, Xin Hu, Jie Ye, Andrew Y Liu, Beibei Huang, Frank R Rojas, Parra Cuentas Edwin Roger, Ou Shi, Monique B Nilsson, Alissa Poteete, Khaja B Khan, Wei Lu, Luisa M Solis Soto, Junya Fujimoto, Cara Haymaker, Ignacio I Wistuba, Zhubo Wei, Linghua Wang, Don L Gibbons, Ken Chen, Alexandre Reuben, Jason M Schenkel, John V Heymach, Chao Cheng, Jia Wu, Jianjun Zhang

Faculty, Staff and Student Publications

Tumor evolution involves genetic, transcriptional, and phenotypic alterations that shape cancer cell behavior and interactions with the microenvironment. While single‐cell technologies have advanced our understanding of this process, spatial dynamics remain incompletely characterized. Here, whole‐exome sequencing (WES), imaging mass cytometry (IMC), and spatial transcriptomics (ST) were integrated to study molecular evolution and immune responses in two lung adenocarcinoma (LUAD) mouse models: a genetically engineered model (129S4/Sv‐KrasLSL‐G12D, termed 129S4 K) and a carcinogen‐induced precancer model (129S4 U). Compared to 129S4 K, 129S4 U tumors exhibited higher mutational, neoantigen but lower copy number variation (CNV) burdens at matched developmental timepoints, consistent with …

Automated Machine Learning For High-Resolution Daily And Hourly Methane Emission Mapping For Rice Paddies Over South Korea: Integrating Modis, Era5-Land, And Soil Data, Jiah Jang, Seung Hee Kim, Menas Kafatos, Jaeil Cho, Gayoung Yoo, Sujong Jeong, Yangwon Lee

Institute for ECHO Articles and Research

Agriculture is a major global source of methane (CH4), and accurate emission estimates are essential for refining national greenhouse gas inventories and supporting climate-resilient policies. This study develops a high-resolution estimation framework for CH4 emissions from Korean rice paddies by integrating multi-source datasets, including Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation indices, European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis Version 5 (ERA5)-Land meteorological variables, and Harmonized World Soil Database (HWSD) soil properties. Using CH4 flux observations from four global rice ecosystems (Italy, Japan, South Korea, and USA), we constructed parallel daily and hourly machine learning models using an automated machine …

The Oral History Of Bill Miller, Bill Miller

UNLV Gaming Law Journal

No abstract provided.

Differentiated Instruction For Multilingual Learners: A Thematic Analysis Of Research And Practice, Mohsine Bensaid, Jiayuan Jiang

Journal of English Learner Education

Differentiated instruction (DI) is widely promoted as a means of supporting diverse learners, yet its enactment for multilingual learners (MLs) remains uneven and under-theorized in mainstream classrooms. This study examines how DI is conceptualized and implemented to support MLs by attending to learners’ linguistic, cultural, and academic profiles. Using reflexive thematic analysis, this qualitative synthesis examines 20 peer-reviewed empirical studies published between 2010 and 2024 in English-medium K–12 contexts in the United States, with particular attention to elementary settings when specified. Analytic interpretation was supported by practitioner-based reflection functioning as an interpretive lens rather than a separate data source. Four …

Section 302(A)'S "Arising From" Nexus Element: Need For A Tune-Up In The Aftermath Of Ford Motor?, Michael J. Hutter

Pace Law Review

This article traces the historical development of the “arising out of” and “relate to” nexus requirements, examines the evolution of state long- arm statutes following International Shoe Co., and analyzes the origins and judicial interpretation of C.P.L.R. § 302(a). It argues that New York’s statutory scheme no longer fully reflects the constitutional scope of specific jurisdiction as articulated by the Supreme Court. The article concludes by proposing a legislative amendment to C.P.L.R. 302(a) to add the phrase “relate to,” thereby aligning New York’s long-arm statute with Due Process and better effectuating the statute’s underlying purpose of affording New York residents …

Informing Consumer Product Sound Quality Analysis Using Generative Adversarial Networks, Daniel Jeffery Lesko, Vinh Nguyen

Michigan Tech Publications

Sound quality attributes have been proven important predictors of customer satisfaction with consumer goods and appliances. The results of several studies indicate that level-based, tonal, and temporal aspects of sound influence the perceived quality of consumer products. The current state-of-the-art of inferring consumer satisfaction with sound attributes is based on the jury test methodology. However, product engineers often find the models generated from these studies incomplete, resulting in products that fail to meet consumer expectations. Therefore, this study aims to utilize generative data-driven approaches to create a range of acceptable sound quality attributes given consumer satisfaction requirements. A baseline sound …

Influence Of Time Management Skills And Technostress On Academic Performance Among The Private University Students: A Conceptual Framework, Jogtika Ramasamy, Nasreen Khan Thandar Oo

International Journal of Management, Finance and Accounting

Digital tools enhance learning but can also cause technostress, which can impact focus and academic performance. Balancing technology use with effective time management and social engagement is key to student success. Students in Malaysia's Klang Valley reported increased feelings of loneliness, mental health issues, and technostress, particularly as a result of the shift to online learning. This study aims to propose a conceptual framework based on the Study Demand-Resources Theory, examining how time management skills and technostress dimensions influence academic performance through the mediating role of student engagement. A quantitative and cross-sectional survey will be conducted by distributing Likert scale …

Factors Affecting The Adoption Of Artificial Intelligence-Driven Wearable Technology In The Malaysian Healthcare Sector: A Conceptual Framework, Syeda Hafsa Rizwan, Anusuyah Subbarao, Nasreen Khan, Farrukh Ahmed Khan, Shaikh Fazlur Rahman, Nimra Aziz, Syed Muntazir Azhar Shah

International Journal of Management, Finance and Accounting

This conceptual paper examines the adoption of Artificial Intelligence (AI)-driven wearable technology, including smartwatches, fitness trackers, wearable ECGs, glucose monitors, and pain management devices, in transforming healthcare in Malaysia. Despite the extreme potential to enhance patient care and healthcare monitoring, the adoption of AI-driven wearable technology remains limited due to several persistent barriers. The purpose of this study is to examine these challenges and propose a framework to improve the integration of AI-driven wearable technology in Malaysia’s healthcare system. Grounded in the Diffusion of Innovation (DOI) theory, this study examines how five key innovation attributes —relative advantage, compatibility, complexity, trialability, …

Innovative Approaches To E-Grocery: Analyzing Customer Satisfaction In Facebook Livestream Shopping, Karen Tien Wan Lin, Vincent Oh Kim Seng, Hasliza Hassan, Shaikh Fazlur Rahman

International Journal of Management, Finance and Accounting

The primary objective of this study is to examine the crucial determinants that influence customer satisfaction in Facebook livestream e-grocery shopping in Malaysia, with a particular focus on housewives as a significant consumer segment. A sample of 220 respondents was selected using simple random sampling, and the data was analyzed using the Statistical Package for the Social Sciences (SPSS). The analysis confirms the hypotheses that customer satisfaction in Facebook Livestream e-grocery shopping was influenced by factors such as product quality, security, website design, delivery service and e-service quality. Interestingly, three factors, including information quality, payment method, and product variety, were …

Artificial Intelligence And Employee Well-Being: A Systematic Literature Review, Dombagaha Pathiranage Marian Shavini Medonka Peiris

International Journal of Management, Finance and Accounting

Artificial Intelligence (AI) is transforming modern workplaces by offering opportunities to enhance employee well-being while simultaneously introducing significant challenges. Although scholarly interest in the intersection of AI and well-being is growing, empirical research in this domain remains limited and underdeveloped. This study's primary objective was to assess the current knowledge in this domain, with a secondary aim of identifying critical research gaps to inform future investigations. Adhering to PRISMA guidelines, this systematic literature review analysed 23 empirical studies published between 2015 and 2025, sourced from the Lens.org and ProQuest databases and was guided by the Job Demands Resources (JD–R) model. …

Social Media And E-Cigarette Use In Youth: Does Depression Play A Mediating Role?, Soumya Upadhyay, Mohammad Karim, Shivank Chhaya

Healthcare Administration and Policy Faculty Research

About 28% of middle and high school students report the use of e-cigarettes per the 2019 NYTS survey. Social media can seclude a youth into limited set of beliefs, including affirmation for e-cigarette use. Internalizing problems like depression may be due to overuse of social media, and youth with depressive symptoms are more likely to use e-cigarettes to cope. National Youth Tobacco Survey (NYTS) 2023 data was used (n = 18 143) in a cross-sectional design. Ever e-cigarette use was the binary (Y/N) dependent variable. Independent variable, social media use, was categorized as “never,” “nondaily,” “daily.” Mediator variable, presence of …

Advances In Culture, Tourism, And Hospitality Research: Volume 1, Cihan Cobanoglu, Hanqin Qiu, Jiaying Lyu, James H. W. Shen

University of South Florida (USF) M3 Publishing

This is the first volume of the Advances in Culture, Tourism, and Hospitality Research Book Series.

Exploring The Pathways Of Artificial Intelligence And Sustainable Development In The Era Of Industrial Revolutions: A Bibliometric Analysis And Future Research Agenda, Xu Bin, Teh Sin Yin, Sajal Saha

International Journal of Management, Finance and Accounting

Artificial Intelligence (AI) is playing an increasingly pivotal role in driving innovation and promoting sustainable development across various sectors amid the ongoing wave of industrial revolutions. However, the existing research lacks a systematic and quantitative overview of how AI contributes to sustainability goals. This study addresses this gap by conducting a bibliometric analysis of 101 articles from the Web of Science Core Collection, using the keywords “sustainab*”, “artificial intelligence”, and “industrial revolution”. Analytical tools such as VOSviewer and Scimago Graphica were employed to generate keyword co-occurrence maps, publication trends, and research collaboration networks. The results show that scholarly interest in …

Association Between Tinnitus And Angina Pectoris In U.S. Adults: Evidence From Nhanes 2009–2018, Mitra Britton, Ishan Sunilkumar Bhatt

Department of Communication Sciences and Disorders Faculty Scholarship and Creative Works

Background/Objectives: Tinnitus has been increasingly associated with cardiovascular disease, and recent phenome-wide analyses have identified angina pectoris as a condition linked to tinnitus. This study aimed to replicate and quantify the association between tinnitus and angina pectoris in a nationally representative U.S. adult sample using NHANES, while adjusting for key demographic, cardiovascular, and tinnitus-related risk factors. Methods: Using data from four NHANES cycles 2009–2018, a cross-sectional analysis was conducted, which included 9185 participants, and used multivariate logistic regression analyses to investigate the association between tinnitus and angina pectoris. Results: Among 9185 adults, angina was associated with higher odds of tinnitus …

Exploring The Optimal Age For Total Knee Arthroplasty To Minimize Risk Of Adverse Outcomes: Machine Learning Analysis Of A Statewide Cohort, Chloe Heiting, Yiyuan Wu, Susan M. Goodman, Peter Sculco, Fei Wang, Said A. Ibrahim, Peter Cram, Rich Caruana, Bella Mehta

Department of Medicine Faculty Papers

BACKGROUND: Rates of total knee arthroplasty (TKA) in the United States have risen in patients of a wide age range. Although rates of postoperative TKA complications have decreased, they remain a significant concern. In this study, we aim to determine how the risk of adverse TKA outcomes changes dynamically with age and explore the optimal ages with the lowest risk for adverse outcomes.

METHODS: This retrospective cohort study included patients who underwent elective primary TKA from 2012 to 2018 in the Pennsylvania Health Care Cost Containment Council Database. We trained (70% train:30% test) an explainable boosting machine (EBM), a modern …

Single-Valued, Double-Valued, Triple-Valued, Quadruple-Valued, And Quintuple-Valued Neutrosophic Graph, Takaaki Fujita, Arif Mehmood, Arkan A. Ghaib

Neutrosophic Systems with Applications

Concepts such as fuzzy sets, neutrosophic sets, rough sets, and plithogenic sets have been extensively studied as formal tools for modeling uncertainty, and they have found broad applications across many disciplines. A Double-Valued Neutrosophic Set (DVNS) extends the classical neutrosophic framework by splitting indeterminacy into two distinct components: one leaning toward truth and the other leaning toward falsity. In recent years, further refinements—namely Triple-Valued, Quadruple-Valued, and Quintuple-Valued Neutrosophic Sets—have also been introduced and investigated. These uncertainty models have naturally been lifted to graph-theoretic settings, where vertices and edges represent entities and relationships under ambiguity. Although fuzzy graphs and neutrosophic graphs …

Aav Gene Therapy For Mps Iva With Induction Of Immune Tolerance Via Oral Administration Of Epitope Peptides Of N-Acetylgalactosamine-6-Sulfate Sulfatase, Sampurna Saikia, Yasuhiko Ago, Fnu Nidhi, Shaukat Khan, Zhengyu Ma, Shunji Tomatsu

Department of Pediatrics Faculty Papers

Mucopolysaccharidosis IVA (MPS IVA) is caused by the accumulation of undegraded glycosaminoglycans due to the deficiency of the N-acetylgalactosamine-6-sulfate sulfatase (GALNS) enzyme. MPS IVA manifests as progressive systemic skeletal dysplasia. Gene therapy (GT) is potentially a one-time treatment in which the enzyme is continuously produced, circulated, and delivered to target tissues. However, immune responses to gene products can diminish therapeutic efficacy. We hypothesized that oral delivery of tolerogenic peptides induces immune tolerance to human GALNS (hGALNS) in MPS IVA mice, enhancing therapeutic efficacy. Neonatal mice deficient in mouse GALNS (mGALNS) were treated orally with three T-cell/B-cell epitope peptides or hGALNS …