Digital Commons Network^™

How Much Could You Save Using Mda Services Endorsed Vendors?, Reva Darling

The Journal of the Michigan Dental Association

This column details the financial advantages of utilizing MDA-endorsed vendors to improve practice profitability. It explains the vetting process performed by volunteers to ensure vendors offer meaningful discounts and vetted solutions. The source highlights specific services, such as PPO fee negotiation, dental marketing, and insurance verifications, which can save a practice over $58,000 annually. By leveraging collective bargaining, members gain access to revenue-boosting solutions without exhaustive trial-and-error searching.

2026 Tennessee Valley Authority's Payments In Lieu Of Taxes Annual Report To The Tennessee General Assembly

Taxes Reports

No abstract provided.

From Care To Capital: Rethinking Resilience In The Philippine Labor Export System, Alexa J. Abendano

Senior Theses

Global migration has been a defining feature of the neoliberal world economy due to its ability to transform how nations manage care, labor and survival across borders. Within this system, the Philippines stands out as a country that has institutionalized labor migration as a development strategy since the 1970s. This paper examines how the Philippines states labor export policy shapes the vulnerability and resilience of migrant care workers, specifically those employed as domestic helpers in Hong Kong. By drawing on scholarship about global care economies, remittances, precarity, neoliberalism and resilience, this paper analyzes how emotional and reproductive labor are commodified …

Medical Aid In Dying: A Narrative Review Of The Recent Academic Literature In The United States., Holland Kaplan, Soraira Pacheco, Keziah M Thomas, Christopher L Ulmschneider, Anjiya Sulaiman, Chandni Lotwala, Derek Dawes, Issa A Hanna, Courtney Nguyen, Caroline G Snider, Gabriel M Aisenberg

Faculty, Staff and Student Publications

Medical aid in dying (MAiD) is a practice in which a healthcare professional provides assistance to a terminally ill patient seeking to end their life. To assess how academic discourse may shape public opinion and policy in the United States, we conducted a narrative review of the literature published between 2020 and 2024. Articles were categorized as supportive, opposing, or neutral, and patterns were examined across authorship, disciplinary focus, and target populations. Our findings reveal that most recent publications adopt supportive or neutral stances toward MAiD, with a slight increase in opposition beginning in 2022. Authorship discipline strongly influenced position, …

Optical Fiber Sensors Using Vernier Effect In Cascaded Fiber Interferometers, Zhouchen Wang

Dissertations

The optical Vernier effect has emerged as a powerful tool to enhance the sensitivity of optical fiber interferometer-based sensors, opening new opportunities for developing highly sensitive fiber sensing systems. Optical fiber interferometric sensors based on the Vernier effect are widely used for various applications due to their ultra-compact size, high sensitivity, immunity to electromagnetic interference, electrical isolation, resistance to harsh environments, flexibility, multiplexing capability, and remote operation. The aim of this doctoral thesis was to gain a deeper fundamental understanding of the Vernier effect in optical fiber structures and to develop and investigate a series of novel Vernier effect optical …

Prediction Of First And Multiple Antiretroviral Therapy Interruptions In People Living With Hiv: Comparative Survival Analysis Using Cox And Explainable Machine Learning Models, Donald Salami, Emily Koech, Janet Turan, Kristen Stafford, Lilly Nyagah, Stephen Ohakanu, Anthony Ngugi, Manhattan Charurat

Institute for Human Development, East Africa

Background: The Cox proportional hazards (CPH) model is a common choice for analyzing time-to-treatment interruptions in patients on antiretroviral therapy (ART), valued for its straightforward interpretability and flexibility in handling time-dependent covariates. Machine learning (ML) models have increasingly been adapted for handling temporal data, with added advantages of handling complex, nonlinear relationships and large datasets, and providing clear practical interpretations.

Objective: This study aims to compare the predictive performance of the traditional CPH model and ML models in predicting treatment interruptions among patients on ART, while also providing both global and individual-level explanations to support personalized, data-driven interventions …

Performance Of The Grace Acs Risk Score In Predicting In-Hospital And Six-Month Mortality In Patients With Acs: A Single Center Retrospective Cohort Study, Albert Nyanga, Jeilan Mohamed, Miriam Msunza, James Orwa, Mzee Ngunga

Internal Medicine, East Africa

Introduction: The incidence of coronary heart disease (CHD) is rising globally. Despite the high burden of CHD in Africa, little is known about appropriate risk stratification systems that can be used to predict outcomes in patients with acute coronary syndromes (ACS) in this region.

Methodology: This was a single-center retrospective cohort study conducted at the Aga Khan University hospital. Data was explored descriptively by summarizing categorical variables using frequencies/percentages and continuous variables using medians and interquartile ranges. Risk groups and mortality were compared using Fisher’s exact test or the chi-square test. The area under the receiver operating characteristic curve (AUROC), …

Law Library Blog (February 2026): Legal Beagle's Blog Archive, Roger Williams University School Of Law

Law Library Newsletters/Blog

No abstract provided.

Wellness Connection Newsletter February 2026, Roger Williams University School Of Law

Life of the Law School (1993- )

No abstract provided.

Himmelfarb Liaison Letter - February 2026, The George Washington University, Himmelfarb Health Sciences Library

Himmelfarb Library Liaison Letters

No abstract provided.

Recommendations For Developing A Regulatory Sandbox And A Comprehensive Legal Framework For Fintech In Vietnam - Part I, Sue M. Altmeyer, Phan Dang Hai

Akron Law Faculty Publications

Fintech, a product of the 4.0 revolution, has experienced rapid growth in Vietnam, attracting significant attention from investors and government agencies. In encouraging innovation, the authors write, the need for a practical legal framework to regulate fintech activities has become a critical issue. The authors believe that this new legal framework should include a regulatory sandbox, which would allow fintech startups to test their products in a controlled environment, helping to mitigate risks, foster creativity, and enhance regulatory oversight. This two-part article discusses challenges in creating and implementing a regulatory sandbox and provides recommendations for overcoming these hurdles. This first …

Lgas: A Librarian's Tool For Instructional Sustainability, Sarah H. Moukhliss

Library Faculty Presentations & Publications

Sarah Moukhliss, STEM Online Learning Librarian with a background in K–12 curriculum, instructional design, and pedagogy, identified a gap in standards for student-centered library guide design. Moukhliss remixed the SUNY OSCQR rubric into the Library Guide Assessment Standards (LGAS) for Quality- Checked Review, transforming it from a course development framework into a peer review and quality assurance tool by writing detailed annotations for each of its 32 standards.

Hybrid Server–Ai Architecture For Persistent Generative Game Worlds: Achieving Scalable, Consistent, And Low-Latency Interactive Environments, Jay Ratican, James Hutson

Faculty Scholarship

Generative artificial intelligence has demonstrated remarkable capabilities in real-time content creation for interactive entertainment, yet current implementations struggle with the persistence, consistency, and scalability demanded by modern multiplayer and long-form gaming environments. This paper presents a hybrid server–AI architecture that fuses the deterministic reliability of authoritative multiplayer server frameworks with the creative flexibility of state-aware generative systems. The proposed three-tier design consists of (1) a deterministic server backend leveraging technologies such as Unity Netcode for GameObjects, Unreal Engine 5’s dedicated servers, and Amazon GameLift to maintain authoritative and persistent world state; (2) a state-aware generative layer responsible for producing real-time …

From Leaky Pipelines To Watering Cans, Samantha Fladd, Sarah Kurnick, Laura E. Heath-Stout, Nala K. Williams, Sarah Simeonoff, Sasha Buckser, Katelyn J. Bishop, Scott R. Hutson, Jessica Maclellan, Marie Matsuda, Sarah E. Oas, Jocelyne M. Ponce, Bruno Athie Teruel, Jaycee Castro, Breeanna Charolla, Adriana M. De León, Luisa Escobar Galo, Lydia D. Evans, Isabella N. Garcia, Kelsey Hoppes, Elena Lompe

Anthropology Faculty Publications

Despite improvement over the past few decades, particularly for white, cisgender women, intersectional gender-based inequality remains prominent within anthropological archaeology and beyond. Building on critiques of the leaky pipeline metaphor laid out in the introduction to this themed issue, and drawing on Black, Indigenous, and Posthumanist Feminisms, we advocate for a metaphorical shift focused on care, inclusivity, and diversity—that of a garden. The garden metaphor provides a way to express and explore the complex and intertwined ways disciplinary norms, institutions, and individuals structure and shape experiences in archaeology. After reviewing the garden metaphor and summarizing previous suggestions for improving equity …

A Hydrogen Hub Blueprint For The California Supply Chain, Tyler Reeb, Barbara Taylor

Mineta Transportation Institute

As global climate targets tighten and state regulations accelerate, hydrogen technology presents a significant opportunity to help California supply chain and transportation stakeholders comply with state emissions mandates and global goals aimed to reduce the impacts of climate change. However, while fuel cell costs and infrastructure have received attention, workforce development remains overlooked. Hydrogen fuel cell electric vehicles (FCEVs) are especially promising for diesel-reliant sectors that are hard to decarbonize without negatively impacting operational efficiency. But scaling hydrogen vehicles and infrastructure in tandem with emerging consumer and industrial markets will not be easy. State and federal policies, often conflicting, further …

Substantial Variation In Larval Honey Bee Nutrition Within And Among Apis Mellifera Colonies, Rebecca R. Westwick, Clare Rittschof

Entomology Faculty Publications

Parents have evolved strategies to reduce the risk of malnutrition in offspring, including the production of specialized nutritional secretions that are tailored to meet the unique needs of developing offspring. Studies in vertebrates, however, show abundant individual variation in nutritional secretions; the causes and consequences of this variation, and the extent to which such patterns can be generalized beyond vertebrates, remain unclear. Here, we investigated natural variation in nutritional secretions in an invertebrate species, the Western honey bee (Apis mellifera L.). This is a unique bee wherein developing larvae subsist entirely on “jellies” (e.g., royal jelly) produced by glands in …

Single-Cell Transcriptomics Of The Drosophila Ring Gland Identifies The Soxn–Vvl Complex As A Key Regulator Of Juvenile Hormone Biosynthesis, Yuhan Luo, Nan Chen, Yue Gao, Wei Luo, Shanshan Liu, Yang Li, Hanyue Wang, Xiangbin Gao, Jiawei Chen, Haosheng Ye, Kirst King-Jones, Subba Reddy Palli, Sheng Li, Suning Liu

Entomology Faculty Publications

Juvenile hormone (JH) is essential for maintaining juvenile status and promoting reproduction in insects, yet the transcriptional regulation of JH biosynthesis remains poorly understood. Previous transcriptomic studies of the Drosophila ring gland—which is composed of the corpus allatum (CA), prothoracic gland (PG), and corpora cardiaca (CC)—have treated the ring gland as a single tissue. As a result, these approaches lacked the resolution necessary to dissect JH biosynthesis and its regulation in a cell-type-specific manner. To overcome this limitation, we performed single-cell RNA sequencing (scRNA-seq) of 7,919 cells isolated from the larval ring glands. This analysis resolved distinct transcriptional profiles for …

Ubiquitination Of Oncogenic Mutant P53 Via Attenuation Of Ribosome Biogenesis Machinery Effectively Inhibits Pancreatic Tumor Growth, Mudassier Ahmad, Sahir Sultan Alvi, Haider Ahsan, Carlos Perez, Vivek Kashyap, Neeraj Chauhan, Dae Joon Kim, Nirakar Sahoo, Tamer Oraby, Murali Yallapu, Subhash Chuahan, Bilal Hafeez

School of Medicine Publications

Dysregulated ribosome biogenesis and p53 mutations are known to play oncogenic roles in various cancers, including pancreatic cancer. In this study, we demonstrated the therapeutic potential of BMH-21, a pharmacologic inhibitor of RNA polymerase I, against pancreatic cancer by uncovering a novel molecular mechanism involving RPA194-mediated ubiquitination of mutant p53 without affecting the ubiquitination of wild-type p53. Our key findings are that (i) BMH-21 selectively induces apoptosis and cell growth inhibition of pancreatic cancer cells with no effect on normal human pancreatic ductal epithelial cells; (ii) BMH-21 degrades RPA194; (iii) BMH-21 inhibits recruitment of both RPA194 and RPA135 on rDNA …

Artificial Intelligence In Neurosurgical Decision-Making: Promise And Peril In The United States Practice, Tirath Patel, Hamza Yousuf Ibrahim, Sana Sohrab, Muhammad Taha Altaf, Bhumi Patel, Nikhilesh Anand

School of Medicine Publications

The rapid integration of artificial intelligence (AI) into neurosurgical practices in the United States is transforming how diagnoses are interpreted, how surgical plans are developed, and how guidance is provided during operations as clinical needs continue to grow. Models based on radiomics and the Food and Drug Administration approved tools for tumor segmentation, aneurysm identification, and spinal navigation are showing enhanced accuracy and decreased variability among observers, highlighting AI’s potential for significant change. Nevertheless, there are major concerns about the opacity of black-box models, inaccurate outputs, and the increasing legal uncertainties arising from AI-related errors. Ethical challenges, such as the …

A Narrative Review On The Neurobiology Of Lucid Dreaming: Mechanisms And Therapeutic Potential, Tirath Patel, Ashfaq Ahmed, Kinza Irshad, Rahat Ullah, Anaya Noor, Eiman Anwar, Rai Muhammad Umar Khan, Moazzam Akhtar, Fathimathul Henna, Nikhilesh Anand

School of Medicine Publications

Background: Lucid dreaming (LD), which involves being aware of and controlling one's dreams, is of particular interest in the study of consciousness and has potential therapeutic applications. In this narrative review, we highlight the neurobiological aspects of LD, specifically its mechanisms associated with the activation of prefrontal and parietal areas, increased gamma oscillations, and the influence of cholinergic and dopaminergic signaling, primarily during rapid eye movement (REM) sleep.

Objective: To evaluate human data on brain mechanisms and clinical effects, synthesizing the neurobiological foundations and therapeutic possibilities of LD, including remarkably controlled lucid dreams.

Methods: A narrative review of peer-reviewed research …

Cellstaar: Incorporating Single-Cell-Sequencing-Based Functional Data To Boost Power In Rare Variant Association Testing Of Noncoding Regions, Eric Van Buren, Yi Zhang, Xihao Li, Margaret Sunitha Selvaraj, Zilin Li, Nicholette D. Palmer, Donna K. Arnett, John Blangero, Eric Boerwinkle, Joanne E. Curran, Ravi Duggirala

School of Medicine Publications

Understanding how rare genetic variants influence complex traits remains a major challenge, particularly when these variants lie in noncoding regions of the genome. The effects of variants within candidate cis-regulatory elements (cCREs) often depend on the cell type, making interpretation difficult. Here we introduce cellSTAAR, which integrates whole-genome sequencing data with single-cell assay for transposase-accessible chromatin using sequencing data to capture variability in chromatin accessibility across cell types via the construction of cell-type-specific functional annotations and regulatory elements. To reflect the uncertainty in cCRE–gene linking, cellSTAAR uses a comprehensive strategy to link cCREs to their target genes. We applied …

Epidemiology And Outcomes Of Sporotrichosis: A Descriptive Real-World Analysis From A Global Cohort, Samantha Schapiro, Nicholas Pulciano, Julian Galindo-Ramirez, Nicholas Rau, Jose Tuells, Nelson Iván Agudelo Higuita, George R. Thompson Iii, Daniel B. Chastain, Andrés F. Henao-Martínez

School of Medicine Publications

Background: Sporotrichosis is a dimorphic fungal infection of increasing global relevance. Although usually cutaneous or lymphocutaneous, disseminated disease occurs in immunocompromised hosts. Large-scale data on its epidemiology, treatment and outcomes remain limited.

Objectives: To characterise the clinical features, comorbidities, antifungal prescribing patterns and one-year mortality associated with sporotrichosis, with emphasis on patients with HIV and other forms of immunosuppression.

Patients/methods: We performed a retrospective global cohort study using the TriNetX Research Network. Adults (≥ 18 years) diagnosed with sporotrichosis were identified using ICD-9/10 codes (1995-2024). Demographics, comorbidities, laboratory parameters and antifungal prescriptions were analysed. The primary outcome was all-cause mortality …

Artificial Intelligence In Cardiology: An Updated Systematic Review With Ethical Considerations And Challenges In Implementing Artificial Intelligence Models, Dev Patel, Reshmitha Kantamneni, Jabez David John, Tirath Patel, Arnesh Shukla, Ayesha Salma, Nikhilesh Anand

School of Medicine Publications

The integration of artificial intelligence (AI) in cardiovascular medicine presents a transformative opportunity to enhance diagnostic accuracy and improve patient outcomes. This systematic review evaluates the impact of AI on cardiovascular diagnostics with a focus on its ability to surpass traditional methods in accuracy, efficiency, and predictive capabilities. Machine learning and deep learning have demonstrated significant advancements in areas such as echocardiography, electrocardiography, computed tomography angiography, and predictive analytics.

AI algorithms have demonstrated superior performance in identifying subtle patterns and anomalies. Additionally, AI has shown promise in predictive analytics, forecasting disease progression and tailoring treatment plans, thereby improving patient outcomes. …

Overcoming Barriers To Hpv Vaccination In Pakistan: A Critical Need For A Proactive And Culturally-Sensitive Strategy, Syed Ahtisham Halim, Tirath Patel, Syeda Ramish Zehra Kazmi, Momina Khabir, Nikhilesh Anand

School of Medicine Publications

Cervical cancer continues to be one of the major causes of cancer-related mortalities among women worldwide, with a considerable share of this burden affecting developing countries like Pakistan. The addition of the HPV vaccine to the national immunization program of Pakistan had been a crucial leap toward the prevention of cervical cancer. Nevertheless, challenges that threaten the success of such a program are conspicuous. The most important ones are discussed in the letter, including the widespread dissemination of misinformation via social media on unfounded grounds, such as infertility resulting from the vaccine; deep-seated cultural taboos relating to sexual health; and …

Ntdscope: A Multi-Contrast Portable Microscope For Disease Diagnosis, María Díaz De León Derby, Zaina L. Moussa, Carlos F. Ng, Abdul M. Bhuiya, Joana P. Cabrera, Dipayan Banik, Charles B. Delahunt, Matthew D. Keller, Anne Laure M. Le Ny, Jaime Garcia-Villena, Elena Dacal, David Bermejo-Peláez, Daniel Cuadrado, Miguel Luengo-Oroz, Hugues C. Nana Djeunga, Joseph Kamgno, Linda Djune Yemeli, Victor Pahl, Neil A. Switz, For Full Author List, See Comments Below

Faculty Research, Scholarly, and Creative Activity

Accurate diagnostics are essential for disease control and elimination efforts. However, access to diagnostics for neglected tropical diseases (NTDs) is hindered by limited healthcare infrastructure in many NTD-endemic regions, as well as by reliance on time- and labor-intensive diagnostic methods, such as smear microscopy. New diagnostic tools that are portable, rapid, low-cost, and meet World Health Organization (WHO) sensitivity and specificity targets are urgently needed to accelerate NTD control and elimination programs. Here, we introduce the NTDscope, a portable microscopy platform that enables point-of-care imaging and automated detection of parasites and other pathogens in patient samples. The NTDscope builds on …

Frch 102.50: Intermediate French Ii, Anna K. Lokowich

University of Montana Course Syllabi, 2026-2030

No abstract provided.

Honr 121.84: Ways Of Knowing, Robert M. Baker

University of Montana Course Syllabi, 2026-2030

No abstract provided.

Grmn 202.01: Intermediate German Ii, Hiltrudis M. Arens

University of Montana Course Syllabi, 2026-2030

No abstract provided.

Lit 110l.02: Introducton To Literature, Rob Browning

University of Montana Course Syllabi, 2026-2030

No abstract provided.

Chin 202.01: Intermediate Chinese Ii, Zhen Cao

University of Montana Course Syllabi, 2026-2030

No abstract provided.