Digital Commons Network^™

Utahns' Views On Data Centers - Statewide Sample Descriptive Report, Jessica Schad, Gina Gilson, Stacia Ryder, Elizabeth Long-Meek, Alexandrea Sherman

Utah People and Environment Poll (UPEP)

As data center development accelerates in the western U.S, there are growing concerns about impacts to land, water, and air. This is especially true in rural communities, where development is rapidly increasing and communities have fewer resources. Broadly, data centers increasingly face vocal opposition from siting communities, who are concerned about water use, energy demand, and air quality. However, the impacts of data centers are highly context specific and localized, depending on regional energy availability, cooling technologies, and, increasingly, state-specific regulations.

Over the last year, Utah policymakers have increased efforts to monitor data centers and mitigate their impacts. However, such …

Towards Human-Centered Digital Health Interventions, Kristin M Kostick-Quenet, Eric A Storch

Center for Medical Ethics and Health Policy Staff Publications

This article discusses the potential of digital health interventions (DHIs) in mental health care, emphasizing the importance of designing them to foster genuine humanistic care. It highlights current challenges in measuring engagement and outcomes, advocating for integrating human-centered endpoints such as dignity, autonomy, and therapeutic alliance into evaluation frameworks. The authors call for mechanistic research to identify effective engagement strategies and context-specific implementation approaches. Ultimately, successful DHIs should demonstrate both clinical efficacy and the preservation of humane, person-centered care, ensuring ethical and meaningful mental health support through technology.

From Chaos To Charge: A Workshop Series That Actually Works, Kate Campbell, Hannah Taylor

MaineHealth Maine Medical Center

No abstract provided.

Evolution Of Raman And Photoluminescence Response In Molybdenum Disulfide Thin Films Deposited Via Thermal Atomic Layer Deposition, Wesley Jen, John D. Hues, Icelene Leong, Nolan H. Olaso, Ravindra K. Kanjolia, Mansour Moinpour, Steven M. Hues, Elton Graugnard

Boise State University Publications and Presentations

In order to enable further advances in microelectronics, new processes capable of precisely depositing films are required. This is especially true of processes meant for depositing two-dimensional (2D) transition metal dichalcogenides, such as MoS2, a material of particular interest due to its high potential mobility even at a thickness of a few atoms. In this work, we report industry-compatible processes for depositing crystalline MoS2 with a high degree of precision. We demonstrate the successful conversion of both MoOx and MoSx films deposited via thermal atomic layer deposition using bis(tert-butylimido)bis(dimethylamino)Mo(VI) and H2O or H2S, respectively, into crystalline MoS2 films after an …

Lidocaine Combined With Low-Dose Esketamine For Movement-Evoked Pain After Hepatectomy: A Double-Blind Randomised Controlled Trial, Yan Xu, Li Zhou, Qianqian Tang, Feng Yu, Jingwen Wu, Siyu Yan, Min Cai, Jialu Wan, Yi Kang, Lajing Luowu, Mengmeng Zhou, Lulong Bo, Daniel I Sessler, Chunling Jiang

Faculty, Staff and Student Publications

Introduction: Pain following hepatectomy may delay recovery and increase opioid use. We tested the primary hypothesis that combining lidocaine and low-dose esketamine would reduce movement-evoked pain 24 h after hepatic resection. We also evaluated whether this approach reduced opioid consumption and improved quality of recovery.

Methods: Patients having elective hepatic resections were allocated randomly to receive lidocaine-esketamine or placebo from induction of anaesthesia until the end of surgery. After surgery, patients allocated to lidocaine-esketamine were given a continuous infusion of lidocaine with esketamine for 72 h. All patients received transversus abdominis plane blocks with ropivacaine 2 mg.kg-1 after induction of …

Trustworthy And Explainable Malware Threat Intelligence Through Social Media Analytics And Nature-Inspired Optimization, Feras Al-Obeidat, Muhammad Saad Rashad, Muhammad Amin, Waqas Ali, Bilal Khan, Sajid Anwar

All Works

The convergence of media analytics, Cyber threat Intelligence (CTI) and trustworthy artificial intelligence has become essential for modern cybersecurity systems operating over large-scale, heterogenous data sources. In particular, Social Media Intelligence (SOCMINT) and Open Source Intelligence (OSINT) provide high-volume, real-time signals that complement structured CTI frameworks for early-stage malware and adversarial threat detection. However, integrating these unstructured and dynamic sources with Structured Threat Information Expression (STIX) remains challenging due to its hierarchical complexity, semantic redundancy, and computational overhead in resource-constrained environments. This paper proposes an explainable and optimized intelligence pipeline (BERT-STIX) that unifies SOCMINT, OSINT, and STIX-based CTI using deep …

Trends In Antimicrobial Resistance Associated With Gastrointestinal Tract Infections In The Uae: A Comprehensive Retrospective Surveillance 13-Year (2010-2022) Study, Madikay Senghore, Jens Thomsen, Najiba M. Abdulrazzaq, Wei Chen, Eveline Kaambo, Stefan Weber, Fouzia Jabeen, Godfred Antony Menezes, Abiola Senok, Dean B. Everett, Carole Ayoub Moubareck

All Works

Background This study analyzes longitudinal trends in AMR among key bacterial pathogens causing GI infections across the United Arab Emirates (UAE), to inform future treatment policies and public health interventions. Methods We conducted a 13-year, nationwide, longitudinal surveillance study (2010-2022) using data from 341 public and private healthcare facilities and 45 diagnostic laboratories across the UAE. Pathogen identification and antimicrobial susceptibility testing followed WHO GLASS standards, supplemented by WHONET-integrated electronic medical records. Statistical analyses assessed trends in pathogen incidence, resistance patterns, geographic distribution, and associations with clinical outcomes. Findings Out of 15,593 laboratory-confirmed GI cases, the highest burden was observed …

Threshold Spatial Panel Regression With Fixed Effects, Xiaoyu Meng, Zhenlin Yang

Research Collection School Of Economics

We introduce general estimation and inference methods for threshold spatial panel regression with two-way fixed effects in a diminishing-threshold-effects framework. A valid objective function is obtained through a simple adjustment on the concentrated quasi loglikelihood with fixed effects being concentrated out, which leads to a consistent estimation of all common parameters. We show that the estimation of threshold parameter has a negligible effect on the asymptotic distribution of the main parameter estimators and thereby regular inference methods apply, though a bias correction may be necessary. The limiting distribution of the threshold parameter estimator is shown to be non-regular and infeasible, …

Why Did Medieval Chroniclers Copy Other Histories?, Christopher Berard

Humanities Program Faculty Publications

Medieval chroniclers sometimes borrowed entire passages from earlier works, adapting old words to describe new people and events. Christopher Berard examines this understudied practice and shows how such borrowing could be more than a shortcut, allowing writers to draw meaningful connections between the past and their own times.

Bayesian Network: An Explainable Artificial Intelligence (Xai) Approach To Human Performance Modelling For Control Room Operations, Houda Briwa

Theses

Alarm systems in process industry control rooms routinely exceed the performance targets set by standards such as EEMUA 191, placing operators under conditions where reliable performance is most difficult to achieve. Predicting how operators respond under such conditions is central to risk management, yet current Human Reliability Assessment (HRA) methods depend on expert judgement that is rarely tested against operational evidence, assume independence among factors known to interact, and do not explicitly represent the cognitive processes through which performance emerges. In Resilience Engineering terms, these methods encode Work-as-Imagined with limited means to assess how far expectations hold when work is …

Noncoding Rna Transcripts Based Molecular Phenotyping Of Masld And Mash Patients, Frida M. Delgadillo, Karla Perez, Barbara Yang, Subramanian Dhandayuthapani, Murali Yallapu, Subhash C. Chauhan, Enrique I. Ramos, Shrikanth S. Gadad

School of Medicine Publications

Background and aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a progressive hepatic metabolic disorder characterized by excessive fat accumulation in hepatocytes. MASLD can advance to metabolic dysfunction-associated steatohepatitis (MASH). These conditions often lead to hepatic fibrosis, cirrhosis and hepatocellular carcinoma (HCC) if not timely diagnosed and managed; thus, molecular phenotyping of MASLD and MASH conditions is highly desirable. The analyses were performed to identify distinct, differentially expressed genes, particularly noncoding ones, in MASLD and MASH patient samples, thereby expanding diagnostic and therapeutic options.

Methods: We extracted the data from a recent transcriptomic study by Govaere et al. on MASLD …

Public Cleanliness Satisfaction Survey 2025, Paulin Straughan, Mathews Mathew

Research Collection School of Social Sciences

The Singapore Management University undertook the seventh wave of the Public Cleanliness Satisfaction Survey (PCSS), with 2,007 Singapore residents participating in the survey conducted from December 2025 to April 2026.

The findings from the 2025 wave of the PCSS continued to reflect generally high levels of satisfaction with public cleanliness in Singapore. Based on the Public Cleanliness Satisfaction Index, 91% of respondents reported being satisfied with the cleanliness of public spaces they had recently visited. While this represents a slight shift from 94% in 2023, overall satisfaction levels across all public space domains remained high. Continued community responsibility and action …

The Information Edge - Library Newsletter - September 2026, Rose Gillen, Jennifer Rosenstein

University Library Newsletter

No abstract provided.

Tolkien Fanzine Dataset, 1967-2017 [Bulk 1969-1979], Robinson Ensz, Gabriel Marotto, Aidan Oakey, Ivy Stanich, Ethan Thomas

Tolkien Resources

This dataset reveals the heretofore hidden contents of fan magazines (fanzines) related to the works of J.R.R. Tolkien that were created from 1969 through the publication of Tolkien’s The Silmarillion in 1977. It supplements the earlier Tolkien Fandom Review by S. Gary Hunnewell that discussed fanzines created through 1968. The dataset provides an item level index of the fanzines’ content and is intended to aid researchers in Fan Studies. It is accompanied by an inventory document that lists the fanzine titles and provides brief notes about some of them. Data was drawn from Marquette’s large holding of Tolkien fanzines, including …

Folding The 4-H Clove-Air, Claes Thelemarck

UNH Cooperative Extension

No abstract provided.

The Influence Of Childhood Experiential History On U.S. Vice President Jd Vance’S Personality, Amelia Brower, Aubrey Immelman

Psychology Faculty Publications

This paper presents the results of a developmental causal analysis of the adult personality of U.S. vice president JD Vance, from the conceptual perspective of personologist Theodore Millon.

Psychodiagnostically relevant data relating to Vance’s personality were collected from biographical sources and media reports and synthesized into a personality profile using the Millon Inventory of Diagnostic Criteria (MIDC), which yields 34 normal and maladaptive personality classifications congruent with DSM-III-R, DSM-IV, and DSM-5-TR.

The findings of the personality assessment were previously reported in a separate paper. Vance’s primary personality patterns were found to be Dominant/controlling and Ambitious/confident, supplemented by …

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

A Word From the Writing Team (Newsletter)

No abstract provided.

Hydroxyethyl Starch And Perioperative Complications: A Systematic Review And Meta-Analysis, Daniel I Sessler, Lorenzo Pradelli, Massimiliano Povero, Daniel Chappell, E Wang

Faculty, Staff and Student Publications

Background: Based on renal injury reported in critically ill and septic patients, the U.S. Food and Drug Administration issued a black box warning regarding hydroxyethyl starch (HES 130/0.4) use in 2013 and expanded the warning to surgical and trauma patients in 2021. Similarly, the European Medicines Agency initiated withdrawal of hydroxyethyl starch in 2022. This study was a new meta-analysis focused on renal injury designed to complement a 2021 meta-analysis of perioperative hydroxyethyl starch use, adding 45 trials and 6,895 patients. The focus was acute kidney injury and preoperative-to-postoperative change in creatinine concentration in surgical patients.

Methods: This study searched …

Girls’ Education Roadmap: 2026 Report, Meredith Kozak, Miriam Temin, Lina López-Lalinde, Amaranta Martinez Martinez

Adolescents and Young People

This Roadmap highlights where the gender and education field can align on coordinated action and investment to close critical gender gaps in education and improve learning for all. Building on findings from the original 2021 Girls’ Education Roadmap, it brings together data on the greatest gender and education needs, evidence on evaluated approaches, and where current practice reaches or misses vulnerable learners. From this foundation, the Roadmap organizes insights around 18 gender-related barriers to education, giving decision makers a framework for diagnosing context specific challenges and identifying proven approaches to address them.

Two-Dimensional Mo2b2tx Mbenes For Selective Sensing Of Disease-Associated Vocs In Cardiovascular Diagnostics, Puspamitra Panigrahi, Kulothungan Balasundaram, Yash Pal, Mukesh K. Choudhary, Hyeonhu Bae, Hoonkyung Lee, Ravindra Pandey, Akshaya Panigrahi, Tanveer Hussain

Michigan Tech Publications

Cardiovascular disease is a leading cause of global mortality, driving the need for non-invasive early detection methods. Analysis of specific volatile organic compounds (VOCs) in exhaled breath, such as acetone, hexane, hexanal, isoprene, and pentane, offers a promising diagnostic pathway. However, the selective detection of these low-concentration VOC biomarkers remains a significant challenge. This study employs a combination of theoretical approaches, such as density functional theory (DFT), STM-based tunnelling model aligned with the Tersoff-Hamann approximation, and thermodynamic analysis via the Langmuir adsorption model, to assess the sensing capabilities of two-dimensional (2D) MBenes (Mo2B2Tx) monolayers toward the targeted VOCs. The results …

September 2026 Library & Learning Newsletter, Minnesota State University, Mankato. Library & Learning Dean's Office Communication Team

Library & Learning Newsletters

PDF version of the September 2026 (Volume 5, Issue 1) Library & Learning Newsletter.

Toward Equitable Energy Futures: The Influence Of Digital Government And Financial Development On Clean Energy Justice, Martin Spraggon, Muhammad Hafeez, Sana Ullah, Chanyanan Somthawinpongsai, Zurul Aisya Osman, Sidra Sohail

All Works

Fossil fuel energy is the largest source of carbon emissions and the main driver of climate change and global warming. Therefore, the world is switching towards clean and green energy sources as an alternative to fossil fuel-based energy sources. Nevertheless, the equitable distribution of clean energy resources in urban and rural areas among every segment of society has become a concern for policymakers. Thus, urban-rural clean energy justice is an investigation topic that needs our attention. In this analysis, our main focus is on investigating the influence of financial development and digital government on clean energy justice using an advanced …

A Worldwide Cross-Sectional Survey Seeks The Current Global Practice Patterns On Perioperative Management In Elective Shoulder Replacement Surgery, Maciej Simon, Farhad Moola, Jennifer Coghlan, Osvandre Lech, Carlos Ramos, Njalalle Baraza, Hadrian Platzer, Simone Gantz, Andreas Seekamp, Babak Moradi

General Surgery, East Africa

Background Perioperative management in elective shoulder arthroplasty varies widely, with no universal consensus on best practices. This study aimed to characterize current global standards of perioperative care, including pre-operative, intraoperative, and post-operative management, among orthopedic surgeons performing elective shoulder replacement surgery, with the aim of contributing to a global standard of care.

Methods A comprehensive online questionnaire was designed and anonymously distributed to orthopedic societies on each continent. Participants were cross-sectionally surveyed with the goal of identifying current global pre-operative, intraoperative, and post-operative practices in patient care and discharge management.

Results Eighteen societies from 5 continents participated in the survey. …

Diffusion-Informed Joint Segmentation Enhances Detection Of Thalamic Atrophy In Parkinson’S Disease, Gozde Kizilates-Evin, Ani Kicik, Emel Erdogdu, Dilek Betul Saridede, Sevim Cengiz, Basar Bilgic, Hasmet A. Hanagasi, Esin Ozturk-Isik, Tamer Demiralp, Ali Bayram

All Works

The thalamus is a critical subcortical hub that relays sensorimotor information and regulates higher-order cognitive processes. Accurate delineation of thalamic nuclei is essential for elucidating disease mechanisms and tracking clinical progression. In this study, we compared two segmentation approaches implemented in FreeSurfer: the conventional structural method and a joint framework that integrates diffusion tensor imaging. Magnetic resonance imaging (MRI) data from 24 healthy controls (HC), 27 patients with cognitively normal Parkinson’s disease (PD-CN), and 33 Parkinson's disease patients with mild cognitive impairment (PD-MCI) were analyzed. Segmentation methods were compared in HC to assess their effect on volume estimates. Group comparisons …

Dustmambanet: A Hybrid Inceptionv3–State-Space Network For Robust Solar Panel Dust Detection, Kadhim Hayawi, Sakib Shahriar

All Works

To develop a robust, scalable vision-based model for automatic detection and quantification of dust accumulation on solar photovoltaic panels, overcoming limitations of existing convolutional and attention-based methods and supporting proactive maintenance. We propose DustMambaNet, a hybrid model that consists of a pretrained InceptionV3 convolutional neural network as a feature extractor and two selective state space sequence modules. The state space modules use gated depthwise convolutions to represent long-range spatial dependencies that are of linear complexity, after rearranging spatial features to form sequences. The network provides a binary classification of dust with a severity index (DSI) and a continuous one. All …

Schizophrenia Spectrum Biomarkers Consortium: Establishment Of A Biorepository For The Discovery Of Quantitative Fluid Biomarkers, Mohini Ranganathan, Susanne Jakob, Felecia Cerrato, Lia Urban Spillane, Tarlan S. Daryoush, Sophie Shuster, Katherine Dokholyan, Shaynna Herrera, Brian Koo, Clyde Markowitz, Pojen Deng, Sage Rush, Monica E. Calkins, Scott Troyan, Kosha Ruparel, Ruben C. Gur, Holly Reynolds, Claire Wegel, Matthew B. Johnson, Lauren Hom, Sam Bryant, Ross W. Mair, Randy L. Buckner, Rebecca Birnbaum, Christian G. Kohler, Cheryl M. Corcoran, Raquel E. Gur, Steven E. Hyman

Student Publications [Scholarly]

Background and Hypothesis: Schizophrenia spectrum disorders (SSDs) produce severe symptoms, disability, and premature mortality, but only partially effective symptomatic treatments exist. Treatment development is impeded by lack of insight into disease mechanisms or objective biomarkers for clinical trials. Advances in genetics and neurobiology have converged on strong pathogenic hypotheses for SSDs centered on synapse dysfunction and excessive pruning, pathogenic processes that may produce measurable proteomic evidence in cerebrospinal fluid (CSF). Leveraging design precedents from successful fluid biomarkers discovery for Alzheimer’s disease, we undertook a pilot study to test the feasibility of repeated CSF and blood samples collection from individuals with …

Senate Resolution 2026-01, Blake Hochstein

Approved Senate Bills, Resolutions, and Documents

Student Senate resolution regarding Flock Safety cameras.

(Wp 2026-04) The Concept Of Position And Its Ontological Meaning In The History Of Economics, John B. Davis

Economics Working Papers

This paper examines the concept of relative position in the history of economics understood as ‘being in a position’ in a structure of positions. This is first discussed in macro-distributional terms in connection with Ricardo and Marx and in micro-behavioral terms in connection with Du Bois and Veblen. The paper then discusses two recent approaches in economics that employ the concept of relative position in a combined macro-micro analysis: the capability approach and stratification economics. For explicitly ontological analysis of the concept, the paper compares three different interpretative strategies from outside economics: Cambridge social positioning theory, embodied and distributed cognition …

Characterization Of Mettl3/14-Mediated M6a Modification In Human Transcriptome Using Nanopore Direct Rna Sequencing, Emily Kurtyan, Andrew J. Stein, Kelly J. Abdalla, Zhangerjiao Yuan, Miten Jain, Fadia Ibrahim

Department of Biochemistry and Molecular Biology Faculty Papers

Post-transcriptional RNA modifications modulate diverse aspects of RNA metabolism. N6-methyladenosine (m6A), one of the most abundant internal RNA modifications, is deposited by the core methyltransferase complex, METTL3 and METTL14. Oxford Nanopore Technologies (ONT) platform permits direct, single RNA molecule sequencing while preserving native modifications. However, without rigorous benchmarking, the accuracy and reproducibility of modification detection remain uncertain. Here, we leveraged ONT to comprehensively profile bona fide m6A modifications in cellular RNAs at single-nucleotide resolution by integrating two direct RNA sequencing chemistries (RNA002 and RNA004) with the m6Anet and Dorado modification-detection models. We independently depleted METTL3 and METTL14 in human cells …

Inosine-Triphosphate-Pyrophosphatase Activity As A Potential Predictor Of Methotrexate Remission In Juvenile Idiopathic Arthritis., Sofia Sindici Forgiarini, Marianna Lucafò, Debora Curci, Davide Selvestrel, Valentina Moressa, Sofia Pagarin, Barbara Bellich, Martina Franzin, Alberto Tommasini, Mara L. Becker, Laura Ramsey, Susan D. Thompson, Carl D. Langefeld, Federica Corba, Edoardo Marrani, Gabriele Simonini, Gabriele Stocco, Giuliana Decorti, Andrea Taddio, Serena Pastore

Manuscripts, Articles, Book Chapters and Other Papers

OBJECTIVE: Methotrexate (MTX) is the first-line therapy for juvenile idiopathic arthritis (JIA), but up to 40% of patients do not respond to it. Low inosine triphosphate pyrophosphatase (ITPA) activity has been associated with reduced clinical remission. We investigated the role and underlying mechanisms of ITPA in vitro.

METHODS: ITPA enzymatic activity was measured by high-performance liquid chromatography with ultraviolet detection in erythrocyte lysates from patients with JIA (enrolled in Trieste, Italy; Florence, Italy; and Kansas City, Missouri) receiving weekly MTX (10-15 mg/m²) for at least 12 months. Remission was evaluated by Wallace et al criteria. ITPA rs1127354, which …