Digital Commons Network^™

Longitudinal Peripheral Blood Transcriptomics Reveal Novel Signatures During Cardiac Allograft Rejection., Rachad Ghazal, Min Wang, Akshatha N. Srinivas, Jenny J. Cao, Hridyanshu Vyas, Duan Liu, Asha Nair, Byron H. Smith, Li Wang, Daniel S. Yip, Parag C. Patel, David E. Steidley, Brian W. Hardaway, Alfredo L. Clavell, Sudhir S. Kushwaha, Walter D. Park, Mark D. Stegall, Howard Eisen, Naveen L. Pereira

Division of Cardiology Faculty Papers

Background: Acute cellularrejection (ACR) remains a major cause of morbidity afterhearttransplantation despite advances in immunosuppression. Whole genometranscriptomicprofiling offers a systems-based, unbiased approach to elucidate the molecular mechanisms underlying ACR. However, noninvasive,longitudinal biomarker assessments capable of capturing the temporal dynamics ofrejection biology remain scarce.

Methods: RNA sequencing ofperipheralblood fromheart transplant recipients before, during, and after ACR was compared with nonrejection controls. Pathway analysis was conducted using differentially expressed genes (DEGs), and a machine learning approach was applied to assessgene-based prediction of ACR.

Results: A total of 235 rejection-specific significant DEGs and 863 postrejection DEGs (false discovery rate < 0.05) were identified. During ACR, DEGs were enriched for T-cell activation/differentiation, apoptosis, and B-cell receptor signaling pathways. By combining the 2 sets of DEGs, a panel of 71 common genes was identified that reflected the significant, longitudinal transcriptomic dynamics of ACR. In an elastic net machine learning-based classifier, DYNLL1 and SERF2 were …

Coe Annual Technical Review 2025, Jianshun Zhang, Bing Dong

SyracuseCoE

No abstract provided.

Resilient Dispute Resolution Systems For International Energy Conflicts, Guillermo J. Garcia Sanchez

Faculty Scholarship

Energy-related conflicts are on the rise, spanning diverse issues such as the impacts of rare mineral mining on local communities, the impacts of sanctions on energy investments due to the Russia-Ukraine war, and the impacts of expanded subsidies on the electric vehicle and solar panel industries. Increasingly, companies, communities, and governments are clashing over the challenges of pursuing disparate and sometimes competing energy policies. This Article argues that dispute resolution mechanisms in the energy investment sector must be fundamentally rethought. Traditional semi-adjudicatory models, which focus on winners and losers, fail to accommodate the complex and multifaceted nature of contemporary energy …

Obstructive Sleep Apnea Prediction: A Comprehensive Review And Comparative Study, Thi Khanh Chi Huynh, Amonae Dabbs-Brown, Anna Jurek-Loughrey, James Mulhall, Tuan Dung Pham, Ngoc Phu Doan, Viet Hung Tran, Zichi Zhang, Xuan Hoang Nguyen, Yimeng An, Peixin Li, Phi Hung Nguyen, Thi Linh Hoang, Xinming Shi, Hans Vandierendonck, Sebastien Bailly, Jean-Louis Pépin, Thai Son Mai

Research Collection School Of Computing and Information Systems

Obstructive Sleep Apnea (OSA) is a highly prevalent sleep disorder linked to considerable public health burdens and comorbidities. However, its heterogeneous presentation and the limited accessibility of traditional diagnostic tools such as polysomnography (PSG) lead to widespread underdiagnosis. As a result, artificial intelligence (AI) approaches, including machine learning (ML) and deep learning (DL) models, have attracted attention as an alternative pathway to detection. This paper first provides a comprehensive review of AI-driven OSA diagnosis, covering different diagnosis problems, input-data types, data biases, pre-processing techniques, and model performance. We then leverage the largest clinical dataset used in OSA prediction to date, …

Russ 302.01: Russian Oral And Written Expression Ii, Ona Renner-Fahey

University of Montana Course Syllabi, 2026-2030

No abstract provided.

Lit 300.01: Literary Criticism, Kathleen M. Kane

University of Montana Course Syllabi, 2026-2030

No abstract provided.

Influence Of Superhydrophobic Surface Microstructure On Transient Jet Impingement Cooling, D. Jacob Butterfield, Brian D. Iverson, Daniel Maynes, Julie Crockett

Faculty Publications

Water jet impingement is an effective method of rapidly cooling a surface, but heat transfer from the surface is highly dependent on the surface condition and properties. Here, the impact of a superhydrophobic (SH) surface on heat transfer to an impinging, axisymmetric, room-temperature water jet with Re=6 x 10³to 18 x 103 is explored. SH surfaces are created by etching thin silicon wafers to form different micropatterns (posts or holes). Surfaces are heated to between 200 and 320°C, and the local surface temperature is measured with a thermal camera. The time resolved heat transfer from the surface and …

Does Law Constitute Society?, Jeremy K. Kessler

Faculty Scholarship

The resistance of capitalist inequality to legal reform has led a growing number of scholars to reconsider the explanatory virtues of Marxist legal thought. But what are those virtues? Some scholars hold that what makes Marxist legal thought special is its ability to explain the development of legal relationships in terms of the development of extra-legal relationships — specifically, the relations of production as they adapt to changes in the productive forces. Other scholars argue that this focus on the causal process by which extra-legal change (or stasis) drives legal change (or stasis) is too reductive. They contend that Marxist …

Examining The Effect Of Newcomers’ Adaptability On Proximal And Distal Outcomes Of Organizational Socialization, Vahe Permzadian, Mishra Vipanchi

Psychological Science Faculty Research & Creative Works

We investigate the role of individual adaptability (I-ADAPT) in newcomer socialization by exploring its effects on the proximal and distal outcomes of the work-role transition process. Based on I-ADAPT theory, our study assesses how I-ADAPT affects the three key indicators of newcomer adjustment (i.e., role clarity, task mastery, and social acceptance) and, in turn, their effect on the distal socialization outcomes of job satisfaction, turnover intention, and work withdrawal. Using a 2-wave prospective design, we collected data from 280 newcomers recruited through Prolific. Results indicated that I-ADAPT dimensions differentially predict newcomer adjustment, with learning adaptability affecting role clarity, uncertainty adaptability …

Thermodynamic Analysis Of Metal Segregation In Two Metal Boride-Carbide Ceramics Containing V With Cr, Hf, Ti, Or Zr, Ana C. Feltrin, Simon Divilov, Gregory E. Hilmas, Stefano Curtarolo, William G. Fahrenholtz

Materials Science and Engineering Faculty Research & Creative Works

Dual-phase carbide-boride ceramics in different vanadium-Me (Me = Cr, Hf, Ti, and Zr) binary systems were synthesized by boro/carbothermal reduction under stoichiometric and carbon-deficient conditions and densified by spark plasma sintering. Thermodynamic analysis was used to evaluate the influence of composition on the phase stability and metal segregation between phases, along with the resulting effects on microstructure and hardness. Pairing vanadium with Group IV elements (Hf, Ti, and Zr) consistently formed one boride and one carbide phase, while the Cr-V system formed a monoboride phase and a carbon-deficient carbide. Metal segregation trends depended on composition. Vanadium preferentially segregated to the …

Gulf Coast Faculty Council Minutes - February 19, 2026, Eric Saillant

Gulf Coast Faculty Council Minutes

No abstract provided.

The Role Of Spatial Abilities In Stem Learning And The Influence Of Individual Differences, Styliani Malkogeorgou

Masters

Students’ decisions to pursue education and careers in Science, Technology, Engineering, and Mathematics (STEM) are shaped by an interplay of cognitive, social, and motivational factors. Spatial ability is among the most reliable predictors of STEM success, yet less is known about how it relates to students’ STEM attitudes and aspirations, and whether visuospatial working memory (VSWM) explains this relationship. This study tested the hypotheses that (a) stronger spatial abilities and VSWM would be associated with more positive STEM attitudes and stronger STEM aspirations, and (b) VSWM would mediate the relationship between spatial abilities and STEM attitudes/aspirations, while examining the influence …

Transforming Indigent Appellate Advocacy, Rachel T. Goldberg, Estelle M. Mckee

Cornell Law Faculty Publications

Indigent appellate advocacy has long been confined to a narrow, technocratic model—one that prioritizes legal expertise over client autonomy and treats appellate cases solely as isolated legal battles rather than opportunities for systemic change. Unlike their trial-level counterparts, appellate attorneys representing indigent clients have received little scholarly attention, leaving critical questions about client participation, ethical representation, and social justice largely unexplored.

This Article challenges the status quo, arguing that appellate attorneys should rethink their role in ways that empower clients and confront the broader injustices shaping their cases. We introduce two alternative frameworks—client-centered appellate representation and participatory appellate representation—that draw …

Artificial Neural Network Model For Predicting Fatigue Endurance Limit Of Hot Mix Asphalt Using Uniaxial Tension–Compression Tests, Prashanta Kumar Acharjee, Mayzan Isied, Mena I. Souliman, Sameer Jung Karkl, Tanvir Ahmed, Gokhan Saygili

Civil Engineering Faculty Publications and Presentations

Fatigue is one of the major distresses occurring in asphalt concrete pavement. Repeated traffic loading causes escalated structural damage which results in the formation of cracks. There is a strain level below which the Hot Mix Asphalt goes under fatigue failure, and it is called endurance limit. In this study, a predictive model is developed to predict endurance limit strain values by using artificial neural network. Uniaxial tension-compression fatigue test results conducted under NCHRP Project 9–44 A were utilized in the model development process. An equation is also extracted from the model along which gives the exact values as the …

Firm-Level Political Risk And Earnings Manipulation, Hui Liang James, Thanh Ngo, Jurica Susnjara

Accounting, Finance, Information Systems, and Business-Law Faculty Publications and Presentations

Using recently developed proxies for firm-level political risk and earnings manipulation, we test the limited attention theory. Contrary to Hirshleifer and Teoh’s core prediction that investor attention is associated with less managerial manipulation, we find that firm-level political risk, serving as a proxy for investor attention, is positively associated with manipulative earnings management, using both accruals and real activities. The results are robust to alternative proxies for political risk and earnings manipulation, various techniques addressing endogeneity concerns, and subsamples of firms with different earnings manipulation incentives. Moreover, we find that the negative relation between earnings manipulation and subsequent operating performance …

Transcriptomics And Metabolomics Analysis Reveal Cell Subpopulations Of Trophoblast Cells Associated With Preeclampsia, Xiaojun Zhu, Ying Jiang, Lilin Wang, Peiyue Jiang, Zixing Zhong, Hetong Li, Caihong Zheng, Lujiao Chen, Juan Wei, Xishi Lin, Peng Ding, Zehua Dong, Xiaosheng Wang, Qiong Luo

Faculty, Staff and Student Publications

Placental abnormalities are central to preeclampsia (PE), yet the cellular and molecular mechanisms underlying this dysfunction remain unclear. We applied a multi-layered, integrative approach to investigate placental tissue from patients with PE and matched controls. Single-cell RNA sequencing (scRNA-seq; GSE173193) and bulk RNA sequencing (bulk RNA-seq; GSE203507) datasets were obtained from the Gene Expression Omnibus. The scRNA-seq dataset included two PE and two control samples, whereas the bulk RNA-seq dataset focused on eight early-onset PE and five uncomplicated term births. Trophoblast subpopulations were identified via scRNA-seq, and pseudotime analysis was used to trace differentiation trajectories. Differential expression and pathway enrichment …

League Of Women Voters Of The Huntington Area E-Mail Bulletin, February, 2026, League Of Women Voters Of The Huntington Area

League of Women Voters of the Huntington Area Bulletin 2020 - Present

The periodical is published by the League, which is a nonpartisan political organization that encourages the informed and active participation of citizens in government and influences public policy through education and advocacy.

Quality Improvement Project: Improving Transitional Care Management (Tcm) Follow-Up Through Medical Assistant Education, Oben Assick

Doctor of Nursing Practice Projects

The underutilization of Transitional Care Management (TCM) services in primary care significantly contributes to preventable hospital readmissions and revenue loss. Despite established Centers for Medicare & Medicaid Services (CMS) guidelines, execution often fails due to knowledge gaps among frontline staff. This quality improvement project addressed low TCM task completion rates by implementing a structured educational intervention for medical assistants (MAs). The purpose was to evaluate whether targeted training improves timely patient follow-up, visit scheduling, and billing accuracy. The project utilized Kotter’s 8-Step Change Model to guide organizational change and the Health Belief Model to address behavioral barriers. A quantitative, quasi-experimental …

Microtransit In Florida: Strategic Considerations And Research Needs, Jennifer Flynn, Martin Catala, Victoria Perk

CUTR Internal Grant Research Program

In response to increasingly dispersed trip patterns, changing travel behavior, and new technology platforms, transit agencies are under pressure to modernize their services to sustain ridership and remain relevant. One strategy gaining traction is microtransit, an on-demand service model that allows riders to request trips (in real time or in advance) and receive service in smaller vehicles that may be shared with other passengers.

Agencies are exploring microtransit to address well-known fixed-route challenges, particularly in low-density areas where limited demand, circuitous routing, and weak pedestrian connectivity can lead to low productivity. By right-sizing service to real-time demand, microtransit can reduce …

Conditions Of Vulnerability: Interpreting Social Condition Discrimination, Colleen Sheppard, Geneviève Plumptre, Hannah Reaburn

Dalhousie Law Journal

At a time of deepening structural inequality, it is important to develop human rights categories that respond to the needs of diverse social groups living in conditions of vulnerability. One source of protection, aimed at countering the exclusion and maltreatment of people who are socially or economically disadvantaged, is the addition of “social condition” as a prohibited ground of discrimination. Québec, the Northwest Territories, and New Brunswick have such protection in their anti-discrimination laws. In this article, we argue that the social condition ground is an important tool for redressing intersectional, group-based vulnerabilities that do not fit readily into traditional …

Rapid Flood Inundation Mapping For Dam Failure And Operations, Shivakumar Balachandran, Parvaneh Nikrou, Ayman Mokhtar Nemnem, Reza Saleh Alipour, Sagy Cohen, Xingong Li, Erfan Goharian, Jasim Imran

Faculty Publications

Dam failure often causes catastrophic flooding. Although conventional hydrodynamic models are available for generating flood inundation maps, there is a need for low-complexity models that can provide rapid inundation estimates during emergency situations. Operational releases of large volumes may also lead to downstream flooding. This study utilizes two DEM-based models, OWP HAND-FIM and FLDPLN, to produce flood inundation maps for near-real-time operational applications. Three dam-related scenarios, including failures and controlled operations, are examined using these simplified models for the Fall River Dam in Kansas. Breach flows are estimated using empirical relationships, and discharge attenuation is calculated using an analytical approach. …

Dual Self-Construal Integration (Dsci) And Romantic Relationships In Singapore: Enhancing Romantic Relationship Satisfaction Through Creativity, Kenneth Tan, Chi-Ying Cheng, Gloria J. Lai, Daniel Ho

Research Collection School of Social Sciences

Research has shown that independent vs. interdependent self-construals are largely shaped by culture and can predict the endorsement of distinct relational schemes when dealing with close others. Intriguingly, individuals exposed to both Eastern and Western cultures can develop both independent and interdependent self-construals and possess the two seemingly conflicting self-construals simultaneously. What is less explored is how different management of both independent and interdependent self-construals influence individuals' navigation of relational schemas in their romantic relationships. The current research examines the influence of how one's dual self-construal integration (DSCI)—an individual difference measure that captures the degree to which individuals perceive independent …

Quantum Chebyshev Transform-Based Graph Neural Networks For Financial Fraud Detection, Minrui Xu, Bingyan Guan, Bethel Hui Ting Loke, Paul R. Griffin

Research Collection School Of Computing and Information Systems

Financial fraud detection is a critical challenge requiring accurate identification of anomalous patterns in complex transaction networks. Graph Neural Networks (GNNs) have emerged as powerful tools for fraud detection by capturing relational structures among entities. Meanwhile, quantum computing offers new possibilities to enhance machine learning through high-dimensional Hilbert spaces and parallelism. In this paper, we propose a hybrid classical-quantum model called QCTGNN (Quantum Chebyshev Transform-based Graph Neural Network) for financial fraud detection. The QCTGNN integrates a classical graph neural network component based on Simplified Graph Convolutions (SGConv) with a quantum component that performs a Chebyshev polynomial-based transform via variational quantum …

Information Sharing Within Institutional Investor Networks, Wei Ting Loh

Research Collection School Of Accountancy

This study examines whether information sharing occurs within institutional investor networks. I identify networks of institutional investors who share common investments and find that in-network investors earn significantly higher returns than other investors of the same firm, suggesting that valuable private information is shared within these networks. I also find that ownership by investor networks is associated with speedier price discovery and incorporation of more firm-specific news in prices, consistent with information sharing facilitating efficient price formation. In addition, ownership by network investors is associated with higher information risk as reflected in the probability of informed trading and market liquidity. …

Female Ceos And Esg Visual Expressions, Ziming Guo, Beng Wee Goh, Dan Li, Yuan Wang

Research Collection School Of Accountancy

Prior studies have shown that women possess unique personality traits that cause them to communicate differently than men do. Hence, we investigate whether the presence of female CEOs affects the use of visual expressions in a firm’s ESG report (“ESG visual expressions”). Using detailed disclosure data from ESG reports in China, we find that firms with female CEOs use more ESG visual expressions. This result is stronger when the firm prioritizes ESG performance, when the female CEO is more powerful, and when there are more women on the top management team. ESG visual expressions are also positively associated with the …

A Word From The Writing Team (February 2026), Pam Walter, Mfa, Laura Deloretta, Phd

A Word From the Writing Team (Newsletter)

No abstract provided.

February 2026 Library & Learning Newsletter, Minnesota State University, Mankato. Library & Learning Dean’S Office Communications Team

Library & Learning Newsletters

PDF version of the February 2026 (Volume 4, Issue 7) Library & Learning Newsletter.

The National Security Internet, Anupam Chander

Georgetown Law Faculty Publications and Other Works

In response to widespread foreign surveillance and growing geopolitical distrust, governments are erecting a national security internet. Pioneered by China, national firewalls have gone global. But where firewalls sought to keep information out, they now seek to keep data in. Governments keen to avoid their citizens’ data from falling into foreign hands demand not only that personal data be stored on local servers, but also require that it be stored on local servers by local companies—what this Article calls “data localization squared.” Enforcing this demand requires a new mechanism of transnational control: immunity from foreign jurisdiction. Artificial Intelligence (AI) systems, …

Russ 202.01: Intermediate Russian Ii, Clint B. Walker

University of Montana Course Syllabi, 2026-2030

No abstract provided.

Writ 201.04: College Writing Ii - The Art Of The Essay, Emily Harman

University of Montana Course Syllabi, 2026-2030

No abstract provided.