Digital Commons Network^™

Real-World Impact Of Amiodarone On Apixaban Population Pharmacokinetics In Hospitalized Patients, Samantha Kolowrat, Chazmyn Riley, Kevin Lam, Lynda Thomson, Douglas F. Stickle, Walter K. Kraft

Department of Pharmacology, Physiology, and Cancer Biology Faculty Papers

Despite common coadministration in nonvalvular atrial fibrillation (NVAF), there is minimal evidence regarding the impact of concomitant amiodarone use on apixaban pharmacokinetics (PK). We described the population PK of apixaban (2.5 and 5mg twice daily) in 106 hospitalized patients with and without concomitant amiodarone administration at steady state. Apixaban PK was reasonably described by a one-compartment model with first-order absorption and linear elimination. Aside from the receipt of amiodarone, age was retained as a statistically significant covariate on apparent clearance. Model-based simulations depicted concomitant amiodarone use increasing AUCT for both 2.5mg (1.58, 90% CI [1.28, 1.87]) and 5mg (1.12, 90% …

Dean's Research Newsletter, November 2025, Neil W. Schluger

SOM Dean's Research Newsletter

No abstract provided.

Thinking Differently: Creating Spaces Of Autonomy For The Revitalization Of Indigenous Legal Traditions In The Context Of Copyright, Johnny Mack, Graham Reynolds

All Faculty Publications

There is an urgent need to think differently. Colonialism, in its settler variant, has developed new and particularly dangerous strategies to advance its dual imperatives of the dispossession of Indigenous peoples and the erasure of Indigeneity as a politicized identity construct with a legitimate claim to law. This goal is advanced today through rights frameworks, which have generated a worrisome platform to support the logic of elimination by drawing Indigenous calls for autonomy, self-determination, and sovereignty into a settler colonial framework of authority. In this chapter, we highlight how these strategies function in the context of Canadian copyright law. Canadian …

Independent- November 2025, Leslie Lozada

The Independent (1988-present)

No abstract provided.

Predictors Of Caregiver Satisfaction With A Hybrid Care Model For Autism Diagnostic Evaluations, Michele Kilmer, Emily Shah, Danielle Randolph, Lauren Quetsch

The Eleanor Mann School of Nursing Faculty Publications and Presentations

Background: Decreased access to diagnostic services is a known barrier in autism care management. Utilizing a hybrid care model incorporating telehealth and face-to-face appointments may be one option to increase access to care. The current study examined caregivers' satisfaction with a hybrid model used to administer pediatric autism diagnostic evaluations. Methods: We used a quantitative research design with convenience sampling to administer a telehealth satisfaction survey to caregivers of children living in medically underserved areas who were referred for an autism diagnostic evaluation. Timeliness and accuracy of diagnostic evaluations via the hybrid model were also assessed. Findings: Most caregivers did …

The Role Of Atmospheric Turbulence On Cloud Droplet Distribution And Droplet Impaction On An Airfoil, Arash Shad, Hashnayne Ahmed, ‪Nadim Zgheib, S. Balachandar, S. A. Sherif

Mechanical Engineering Faculty Publications

We conduct turbulence-informed Euler–Lagrange simulations of droplet-laden flow to examine the effects of atmospheric turbulence on droplet impingement characteristics on a NACA 0012 airfoil. We implement statistical overloading, whereby we inject millions of droplets, ranging in diameter from 1 to 160 microns, upstream of the airfoil at an average streamwise velocity of 120 m/s. Within a fraction of a second, these droplets would have either impinged on the airfoil or continued downstream. While the incoming air flow is maintained uniform, droplet injection is informed by ambient turbulence, affecting both the droplet velocity distribution as well as the size-dependent preferential concentration …

Front Matter, Michigan Law Review

Michigan Law Review

Front Matter for Volume 124, Issue 2 of Michigan Law Review

A House Divided: A Mixed Method Investigation Of Primary Care Interprofessional Teams Using The Core Principles And Values Of Teamwork Framework, Erin L. Kelly, Catherine Guariglia, Jeanne Felter, Dhruvi Shah, Brooke Mauriello, Amy Cunningham, Chris Arenson, Randa Sifri

Department of Family & Community Medicine Faculty Papers

Context

Primary care teams are facing increased demands, turnover, and escalating rates of burnout. A primary care team aligned in its core values and organized according to common teamwork principles is essential for delivering patient-centered, coordinated, and effective healthcare.

Methods

As part of a series of studies on workplace factors and burnout among primary care practice team members, we selected an urban practice with high rates of burnout to assess their teamwork via a practice-wide survey and six focus groups divided by role. The interview guide focused on identifying areas for potential intervention around teamwork. Transcripts were open-coded using a …

University Library Services Innovation: Strategic Ai Integration And Evidence-Based Insights, Liping Yang, Jun Wang, Lulu Wang, Zixuan Zhang

Proceedings of the IATUL Conferences

Purpose

Artificial intelligence (AI) technologies is reshaping higher education. In response, university libraries are gradually adopting these tools to enhance service capability and foster user engagement. Aligned with Xi’an Jiaotong-Liverpool University’s “Education + AI Strategic Framework”, specifically the strategic goal of AI for Research and Innovation, this study examines how the Library leverages AI technologies to support scientific discovery and provide more inclusive, responsive library services.

Design/methodology/approach

This study provides a comprehensive perspective on the XJTLU Library AI-enhanced service framework. This framework consists of the LibAI Portal, a unified service platform that includes the LibAI Chatbot, LibAI Database Navigator, and …

From Information To Impact: The Strategic Role Of Libraries In University Ranking, Tatiana Usova, Fiona Glasgow, Lisa Chisholm

Proceedings of the IATUL Conferences

Academic libraries are increasingly positioning themselves as strategic partners within their institutions, moving beyond traditional support roles to actively advancing institutional priorities, particularly in global university rankings like QS and Times Higher Education (THE). These rankings significantly influence how universities are perceived and funded, and they rely heavily on the use of bibliometric data, research outputs, and institutional reputation.

This paper, presented by SIGMaRI, examines the evolving role of libraries in the rankings landscape. We will highlight impactful library-led initiatives and partnerships with other strategic university departments that advance the university's reputation and shape institutional research strategies. While libraries share …

Informed Learning In Place: Tales From A Field Station, Thom Gerrish, Rachel K. Fundator, Clarence D. Maybee, Karen A. Reiman-Sendi

Libraries Faculty and Staff Scholarship and Research

This study investigates how students learn to use information at a remote field station to prepare for roles as environmental researchers, climate advocates, and citizens. Using a semi-structured interview approach, the researchers examined the perceptions of twelve field station instructors on how their students engage with information to learn in a place-based educational context. Three interrelated themes emerged that demonstrate the varied ways in which students need to learn to use information: (1) Leveraging interdisciplinary lenses, where students integrate diverse perspectives to interpret environmental information; (2) Acculturating to field research practices, where students gain practical research and data skills through …

Preferences For And Effectiveness Of Role-Play On The Acquisition Of Cognitive Behavioral Therapy Skills, Logan D. Zupko

All NMU Master's Theses

Effective training of clinicians is crucial for ensuring high-quality clinical practices. This study evaluated the effectiveness of and preference for two teaching strategies within a behavior skills training (BST) framework for training novice adults in Cognitive Behavioral Therapy (CBT) components. College students participated in multiple laboratory sessions across three study phases: Introduction, Choice, and Training. During the Introduction Phase, participants learned CBT Component 1 with either feedback only or feedback combined with brief role-play for incorrect skills. These two teaching strategies alternated across trials to ensure the participant was exposed to each equally. The Choice Phase allowed participants to select …

Free-Dom In Creativity: Cost-Accessible Ai Tools For Makerspaces In Academic Libraries, Marvin Factor, Kate Lora Cruz, Yugosto Balbas

Proceedings of the IATUL Conferences

The integration of Artificial Intelligence (AI) into academic library makerspaces presents emerging opportunities for enhancing innovation, creativity, and user engagement. However, financial considerations often influence the adoption of advanced technologies, particularly in academic institutions located in developing regions. This study systematically reviews freely available AI tools applicable to makerspace environments in academic libraries, providing a descriptive and comparative analysis of their functionalities and potential applications.  By mapping the current landscape of open-access on a gratis level,  this research identifies key categories of AI applications such as design generation, image generation, language processing, and data visualization, highlighting the strengths, limitations, and …

Generative Ai As Disruptor And Driver For Library Data Services, Shahira Khair

Proceedings of the IATUL Conferences

Over the past decade, academic libraries around the world have focused on developing new services to support data-intensive research and open science. This shift has been driven by funder and publisher mandates emphasizing transparency, reproducibility, and FAIR (Findable, Accessible, Interoperable, Reusable) research l data. Just as these services are maturing, the rapid rise of generative AI tools and their application in research presents a disruptive l force, but also a transformative opportunity for library data services. This paper addresses the evolving impact of generative AI and library data services, contextualized by the experiences of researchers captured in a series of …

Climatic Controls On Soil Production, Transport And Chemical Erosion: Insights From Modelling Topography, Soils And Cosmogenic Nuclides At Little Lake, Oregon, Miles M. Reed, Ken L. Ferrier, Jill A. Marshall, Josh J. Roering, J. Taylor Perron

Geology Faculty Publications and Presentations

Predicting physical and chemical erosion rate responses to climate change are an ongoing challenge in geomorphology. A promising approach for investigating this is by measuring transient variations in physical and chemical erosion rates during climatically variable time periods, which can be accomplished by measuring cosmogenic nuclide concentrations and chemical depletion in sedimentary deposits. Interpreting such measurements warrants applying landscape evolution models that track variations in topography, cosmogenic nuclide concentrations and chemical depletion in soils. We applied a recently developed model that tracks these quantities at Little Lake, Oregon. Previous studies documented variations in cosmogenic nuclide concentrations and chemical depletion in …

When Deep Learning Meets Information Retrieval-Based Bug Localization: A Survey, Feifei Niu, Chuanyi Li, Kui Liu, Xin Xia, David Lo

Research Collection School Of Computing and Information Systems

Bug localization is a crucial aspect of software maintenance, running through the entire software lifecycle. Information retrieval-based bug localization (IRBL) identifies buggy code based on bug reports, expediting the bug resolution process for developers. Recent years have witnessed significant achievements in IRBL, propelled by the widespread adoption of deep learning (DL). To provide a comprehensive overview of the current state of the art and delve into key issues, we conduct a survey encompassing 61 IRBL studies leveraging DL. We summarize best practices in each phase of the IRBL workflow, undertake a meta-analysis of prior studies, and suggest future research directions. …

Usefulness And Diminishing Returns: Evaluating Social Information In Recommender Systems, Qing Meng, Huiyu Min, Ming Shan Hee, Roy Ka-Wei Lee, Bing Tian Dai, Shuai Xu

Research Collection School Of Computing and Information Systems

Social recommendation, which leverages users’ social information to predict users’ preferences, is a popular branch of recommender systems. Many existing studies have attempted to advance the performance of collaborative filtering methods by leveraging the user-user matrix to enhance user embedding learning with user’s social connections. While the existing social recommender systems have demonstrated good performance in various recommendation tasks, the extent of social information usefulness in recommender systems remains unclear. This paper addresses the research gap by designing experiments to answer three research questions: (i) How useful is social information in varying user-item data sparsity? (ii) How much social information …

Distillcaps: Enhancing Audio-Language Alignment In Captioning Via Retrieval-Augmented Knowledge Distillation, Thinh Pham, Nghiem Diep, Lizi Liao, Binh Nguyen

Research Collection School Of Computing and Information Systems

Automated audio captioning (AAC) benefits from incorporatingexternal context to interpret complex sounds, but doing so withretrieval-augmented generation (RAG) at inference is sometimesinfeasible due to data availability or incurs significant latency andcomplexity. We propose DistillCaps, a novel training-time frame-work that leverages RAG to guide knowledge distillation for im-proved audio-language alignment, while lessening the relianceon retrieval during inference. In our framework, a RAG-equippedteacher model retrieves relevant textual information (e.g., simi-lar captions) for each audio clip and uses it for training to gener-ate context-enriched captions. Simultaneously, a student model istrained to imitate this teacher, learning to produce high-qualitycaptions from audio alone. We further …

Unified Molecule Pre-Training With Flexible 2d And 3d Modalities: Single And Paired Modality Integration, Tengwei Song, Min Wu, Yuan Fang

Research Collection School Of Computing and Information Systems

Molecular representation learning plays a crucial role in advancing applications such as drug discovery and material design. Existing work leverages 2D and 3D modalities of molecular information for pre-training, aiming to capture comprehensive structural and geometric insights. However, these methods require paired 2D and 3D molecular data to train the model effectively and prevent it from collapsing into a single modality, posing limitations in scenarios where a certain modality is unavailable or computationally expensive to generate. To overcome this limitation, we propose FlexMol, a flexible molecule pre-training framework that learns unified molecular representations while supporting single-modality input. Specifically, inspired by …

Damslnet: Dual-Attention Multi-Scale Lightweight Network For Plant Disease Classification, Linfan Deng, Juan Qin, Kun Li, Jinhua Zhu, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

Accurately identifying crop diseases plays a crucial role in advancing intelligent and modern agricultural production. Deep learning techniques have performed robust performance in classifying plant disease images. However, current studies face the challenge that many plant disease datasets are generated in controlled environments, leading to reduced model performance in real-world agricultural settings. This paper aims to provide a lightweight model that can accurately classify plant diseases in natural environments. Specifically, this paper investigates the Dual-Attention Multi-Scale Lightweight Network (DAMSLNet), which combines dual-attention-based multi-scale feature extraction and deep information fusion, to classify plant diseases. At the front end, the model employs …

Branch-And-Cut-And-Price For Agile Earth Observation Satellite Scheduling, Guansheng Peng, Jianjiang Wang, Guopeng Song, Aldy Gunawan, Lining Xing, Pieter Vansteenwegen

Research Collection School Of Computing and Information Systems

The Agile Earth Observation Satellite scheduling selects and sequences satellite observations of possible targets on the Earth’s surface, each with a specific profit and multiple time windows. The objective is to maximize the collected profit of all observations completed under some operational constraints. The problem can be modeled as a variant of the Team Orienteering Problem with Time Windows (TOPTW). The key differences with the regular TOPTW are twofold: first, a time-dependent transition time is required for each pair of consecutive observations to adjust the camera’s look angles. Second, the time windows of each target vary during different observation cycles, …

Deep Reinforcement Learning For Solving The Stochastic E-Waste Collection Problem, Dang Viet Anh Nguyen, Aldy Gunawan, Mustafa Misir, Kwan Hui Lim, Pieter Vansteenwegen

Research Collection School Of Computing and Information Systems

With the growing influence of the internet and information technology, Electrical and Electronic Equipment (EEE) has become a gateway to technological innovations. However, discarded devices, also called e-waste, pose a significant threat to the environment and human health if not properly treated, disposed of, or recycled. In this study, we extend a novel model for the e-waste collection in an urban context: the Heterogeneous VRP with Multiple Time Windows and Stochastic Travel Times (HVRP-MTWSTT). We propose a solution method that employs deep reinforcement learning to guide local search heuristics (DRL-LSH). The contributions of this paper are as follows: (1) HVRP-MTWSTT …

A Comprehensive Overview Of Chronic Wound Infections And Current Treatment Methods, Sarah Fakher, David J. Westenberg

Biological Sciences Faculty Research & Creative Works

Chronic wound infections pose significant healthcare challenges due to persistent biofilms, antibiotic resistance, and impaired healing pathways. These wounds are characterized by prolonged inflammation, microbial colonization, and disrupted tissue regeneration, leading to substantial morbidity and healthcare costs. This article reviews current knowledge on chronic wound types, their pathophysiology, and the mechanisms underlying biofilm formation to examine the latest advancements in antimicrobial-based strategies aimed at addressing these challenges. It highlights how diverse materials and technologies have been engineered to improve infection management, enhance tissue regeneration, and overcome the limitations of traditional treatments as well as advances that leverage innovations such as …

The Impact Of Sanctions On Github Developers And Activities, Youmei Fan, Ani Hovhannisyan, Hideaki Hata, Christoph Treude, Raula G. Kula

Research Collection School Of Computing and Information Systems

The GitHub platform has fueled the creation of truly global software, enabling contributions from developers across various geographical regions of the world. As software becomes more entwined with global politics and social regulations, it becomes similarly subject to government sanctions. In 2019, GitHub restricted access to certain services for users in specific locations but rolled back these restrictions for some communities (e.g., the Iranian community) in 2021. We conducted a largescale empirical study, collecting approximately 156 thousand user profiles and their 41 million activity points from 2008 to 2022, to understand the response of developers. Our results indicate that many …

Asymmetric Relationship Between Competition And Innovation: Evidence From Banks In The Eurozone, Kenny Tee, Konstantinos Syriopoulos, Ghulame Rubbaniy, Amna Salim

All Works

This study examines the asymmetric relationship between competition and innovation in Eurozone banking, using data from the original 11 Economic and Monetary Union member states. Employing the technology gap ratio for innovation and the Lerner index and Boone indicator for competition, we find an inverted-U pattern: innovation initially rises with competition but declines beyond a threshold. Granger causality tests confirm bidirectional causality on the upward slope but none on the downward, highlighting nonlinearity. These findings suggest that moderate competition fosters innovation, while excessive rivalry stifles it. Policymakers should balance competition to maximize innovation without undermining long-term technological progress.

State Of Menstrual Health Education In 2024: Content Analysis Of Us K-12 Public School Education Standards, Emily Richardson, Sarah Bemis, Page Dobbs, Hope Ballentine, Shristi Bhochhibhoya, Victor Kwaku Akakpo, Kylie Lovett

The Eleanor Mann School of Nursing Faculty Publications and Presentations

Background: Exploratory study aiming to assess the prevalence and time of initiation of menstrual health curriculum in US public school education standards by state. Methods: US public school Kindergarten-12th grade education standards from each state's Department of Education website, including D.C. (n = 51), were searched for menstruation, menstrual, menses, menopause, period, menarche, reproduction, puberty, and growth and development. Results25.5% (n = 13) of US education standards include menstruation. Of these, constructs of comprehensive menstrual health were recorded including abnormal menstruation (n = 6), menstrual hygiene (n = 6), menopause (n = 1), and stigma (n = 7). Education is …

Proton Beam Therapy Indications In The Kingdom Of Saudi Arabia: A Saro Clinical Practice Guideline, Saif A. Aljabab, Mohammed A. Aldehaim, Hussain A. Alhussain, Yasir A. Bahadur, Ibraheem S. Alomary, Majed A. Alghamdi, Abdulaziz S. Alghamdi, Yasir M. Alayed, Ali A. Balbaid

Saudi Medical Journal

ABSTRACT Objectives: To update the national guidelines for proton therapy to reflect the evolving literature. The Saudi Particle Therapy Centre is making efforts to establish proton therapy services in the Kingdom of Saudi Arabia. Methods: The Saudi Particle Therapy Center collaborated with the Saudi Association of Radiation Oncology to formulate a panel of radiation oncologists with proton therapy experience to refine and update our previous publication. The recommendation level was based on the overall evidence using a 4-grade scale following the World Health Organization quality of evidence recommendations. These updates focus on summarizing the literature and the level of recommendation …

Advances In Genetic And Molecular Insights Into Thyroid Disorders: Implications For Diagnosis, Prognosis, And Personalized Treatment, Faez F. Alshehri

Saudi Medical Journal

ABSTRACT Thyroid disorders encompass a variety of autoimmune conditions such as Graves’ disease, Hashimoto’s thyroiditis, as well as several types of thyroid cancer. Recent advancements in next-generation sequencing methodologies have elucidated significant genetic mutations, which include RET , BRAF , TPO , and more, which are associated with thyroid cancers and autoimmune disorders. BRAF V600E mutation as an indicator of prognosis in papillary thyroid carcinoma or the identification of genetic markers clarifies treatment strategies. Similarly, polymorphisms in immune regulatory genes such as CTLA-4 , particularly when combined with HLA-DR , are linked to higher risk to autoimmune thyroid diseases. Molecular …

100 Countries Committed To Climate Action For Health

Saudi Medical Journal

No abstract provided.

Findings On Dwelling In A Touristic Transit Space In Maligcong, Bontoc, Karl Eli Reyno Alconis

Institute of Philippine Culture (IPC)

Structure, Agency, and Culture: Examining the Influence of Organizational Culture in Succession Planning in Higher Education Institutions Conference: The Asian Conference on Education (ACE2025) Title: Structure, Agency, and Culture: Examining the Influence of Organizational Culture in Succession Planning in Higher Education Institutions Submission Number: 96492 Date Submitted: May 22, 2025 Stream: Educational Policy, Leadership, Management & Administration Presentation Type: Oral Presentation Current Status: Accepted Authors: Ferdinand Rellorosa, Ateneo De Manila University, Philippines Abstract: Succession planning (SP) is vital for leadership continuity and institutional sustainability (Ahmad et al., 2020; Rothwell, 2005). While largely studied in corporate settings, its application in higher …