Digital Commons Network^™

An Uncertainty-Aware Entropy-Oreste Framework For Big Data Platform Selection In Complex Multi-Sector Environments, Ahmed M. Ali, Ibrahim Alrashdi, Karam M. Sallam

Neutrosophic Systems with Applications

The increasing reliance on Big Data platforms across various industries has necessitated the development of systematic decision-support frameworks to guide their evaluation and selection. Given the diversity of available platforms, each offering different capabilities, scalability, and computational efficiency, choosing the optimal solution remains a complex challenge. This research proposes a novel analytical framework that integrates Spherical Fuzzy Sets (SFS) with the Entropy and ORESTE methods to address uncertainty and enhance the accuracy and robustness of Big Data platform evaluation. This hybrid integration, not previously applied to Big Data platform selection, enables objective criteria weighting through the Entropy method and comprehensive …

Client Feedback Effects On Enjoyment, Motivation And Self-Efficacy In A Project-Based Learning Course, Krista Stacey, David M. Bourrie

University Faculty and Staff Publications

This paper reports a mixed-methods evaluation of how feedback/project source (faculty-led versus client-led) shapes student outcomes in a two-course undergraduate game and simulation development sequence (N = 29 across two academic years). Quantitative measures (enjoyment, intrinsic motivation, self-efficacy) were collected with a six-point Likert survey and analyzed, but due to small sample sizes were not used to empirically evaluate the constructs. Instead, qualitative data comprised of de-identified focus-group transcripts and open-ended survey responses were analyzed with a keyword-assisted codebook and manual validation. Year 1 (faculty feedback) exhibited more consistent post-course gains, especially in self-efficacy, while Year 2 (client feedback) produced …

Cultural Science Night, Jiyoon Yoon

Mavs Open Press Open Educational Resources - Archive

This book is to learn water and weather by integrating with other cultures. This textbook is organized around two interconnected components. The first component provides cultural knowledge of China, India, Korea, and Mexico. The second component focuses on culturally responsive science instruction created for the Cultural Science Night event, an occasion in which teachers present hands-on, culturally responsive science activities in collaboration with students.

If you need an accessibility accommodation or have questions about the use of this text, please contact Mavs Open Press.

Exosome Engineering For Blocking Gut Dysbiosis And Inducing Cell Death Mechanisms In Glioblastoma Multiforme, Ahalya Muraleedharan, Karthik Rangavajhula, Swapan K. Ray

Faculty Publications

Glioblastoma multiforme (GBM) is the most lethal primary brain tumor in adults. Emerging evidence endorses that gut dysbiosis contributes to GBM progression through the gut–brain axis (GBA), promoting inflammation and therapeutic resistance via abnormal short-chain fatty acid production and cytokine dysregulation. Exosomes, naturally occurring nanovesicles (30–150 nm), offer promising therapeutic potential due to their blood–brain barrier permeability, biocompatibility, and versatile cargo capacity. This review examines exosome engineering strategies for dual targeting: inhibiting alterations in gut microbiome and inducing regulated cell death mechanisms such as apoptosis and ferroptosis in GBM. We describe exosome engineering with detailed focus on cargo loading approaches …

Urban–Rural Disparities In Metabolic Risk Factors For Hypertension Among The Elderly In Indonesia, Susiana Nugraha, Puri Wulandari

Kesmas

Hypertension remains a major public health challenge among the elderly in low- and middle-income countries. This cross-sectional study examined demographic and metabolic factors associated with hypertension among the elderly living in urban and rural areas of West and Central Java Provinces, Indonesia. This study included 1,920 adults aged ≥60 years who had resided in the study areas for at least six months, were able to communicate effectively, and provided informed consent. Data were collected between March and August 2023 using stratified multistage random sampling, structured questionnaires, and biochemical measurements. Multivariable logistic regression revealed distinct patterns of association across settings. In …

Factors Associated With Antiretroviral Therapy Adherence In Patients With Hiv At A Public Hospital In Central Jakarta, Indonesia, Kareena Sari Fatimah, Laily Hanifah, Chandrayani Simanjorang, Nayla Kamilia Fithri

Kesmas

Patients with human immunodeficiency virus (HIV) are required to take antiretroviral therapy (ART) to suppress the virus. However, suboptimal adherence remains a critical barrier that can lead to treatment failure and persistent transmission risks. This study aimed to identify factors associated with ART adherence in patients with HIV. This quantitative study with a cross-sectional design consisted of patients with HIV aged >18 years who received care at the voluntary counseling and testing clinic of a public hospital in Jakarta, Indonesia. Purposive sampling was used. This study used HIV care and ART overview forms as instruments. Data were analyzed using multiple …

Re: Conditional Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Butte Hill Revegetation Specifications (Dated August 15, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

2022 Bpsou Stormwater Evaluation And Maintenance Report Annual Stormwater Report For Bpsou Stormwater Structures, Butte-Silver Bow Department Of Reclamation And Environmental Services

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Comments On The Draft Environmental Impact Statement On Post-2026 Operational Guidelines And Strategies For Lake Powell And Lake Mead, Anne Castle, John Fleck, Eric Kuhn, Jack Schmidt, Katherine Tara, Kathryn Sorensen

The Traveling Wilburys of the Colorado River

Thank you for the opportunity to submit comments on the Draft Environmental Impact Statement on Post-2026 Operational Guidelines and Strategies for Lake Powell and Lake Mead (DEIS). The undersigned colleagues with experience in Colorado River matters commend the Bureau of Reclamation and its consultants for the tremendous effort involved in preparing this environmental impact analysis. We are especially impressed by Reclamation’s effort to analyze policy alternatives within the context of the deep uncertainty about what future hydrology might be. Your work is novel in its effort to provide the public with a sense of what the performance, robustness, and vulnerability …

Early Detection Of Harmful Algal Blooms (Habs) Using Qpcr And Predictive Modeling, Emily Samuels

Research on Capitol Hill

Harmful algal blooms (HABs) threaten drinking water, recreation, and public health in Utah Lake and waterbodies due to cyanotoxin production. Current monitoring methods detect toxins only after blooms are already established.

An Undergraduate Chemistry Experiment Integrating Theoretical And Practical Aspects Of Hypervalent Iodine(I) Compounds, Vladimir L. Kolesnichenko, Galina Z. Goloverda

Faculty and Staff Publications

A simple reaction sequence has been developed to produce iodine chloride-pyridine (PyICl) and pyridinium dichloroiodate (PyHICl2), convenient iodinating agents, in a high yield. Our approach is safe and simple to handle, avoiding the use of elemental chlorine or hazardous manipulations. Designed for an upper-level undergraduate hybrid lecture/lab chemistry course, the experiment integrates key concepts from both inorganic and organic chemistry. The pre-experiment lecture explains the connections between molecular structure, reactivity trends, and reaction types. Over three 4 h lab sessions, students carry out a sequence of quantitative transformations and characterize each intermediate and the final product using ESI mass spectrometry, …

Association Between Dietary Folate And Prostate Cancer Aggressiveness Among African Americans And European Americans, Lihchyun Joseph Su, Sarah O'Connor, Daniela Ramirez Aguilar, Minjae Lee, Harrison Wong, Hui-Yi Lin, Jeannette T. Bensen, James L. Mohler, Lenore Arab, Longgang Zhao, Ebonee N. Butler, Laura Farnan, Susan E. Steck Phd, Mph, Rd

Faculty Publications

Background: Despite the confirmed beneficial effects on preventing neural tube defects, concerns about high intakes of synthetic folate, or folic acid, in promoting cancer progression have been raised. This study evaluated the association between folate intake and prostate cancer (PCa) aggressiveness among African-American (AA) and European-American (EA) males. Methods: This study included 722 AA and 775 EA men with prostate cancer. Folate intake (dietary folate equivalent (DFE), synthetic folate, natural folate) was estimated using the National Cancer Institute Dietary History Questionnaire and detailed dietary supplement use questionnaire. Analyses included univariable comparisons of demographic and clinical characteristics of the two racial …

Non-Stokes Deposition Velocities Observed Under Rayleigh–Bénard Turbulence, Kristin Swartz-Schult, Andrew Grace, Andrew Bragg, Jesse C. Anderson, Will Cantrell, Robert Grosz, Hamed F. Sadi, Raymond Shaw, Swafuva Varappillikudy Sulaiman, Et Al.

Michigan Tech Publications

The settling and deposition behavior of small particles significantly impacts many environmental and industrial processes. Although particle settling dynamics within turbulent environments have been extensively studied through theory and simulation, more experimental investigation is needed to test the idealized results against real-world turbulent flows. In this work, we infer the settling velocity of particles in Rayleigh–Bénard (RB) turbulence through the measurement of declines in particle concentration due to deposition within a (Formula presented.) convection chamber. Oil droplets from (Formula presented.) to (Formula presented.) and glass beads from (Formula presented.) to (Formula presented.) were used as the particle material, yielding Kolmogorov-based …

Antioxidant Potential Of Sulfenimides In Waste Walnut Oil Biodiesel: Kinetic Stability, Phosphomolybdenum Activity, And Reducing Power Capacity, Nalan Türköz Karakullukçu, Hasan Yakan, Volkan Murat Yilmaz, Hali̇t Muğlu, Semi̇ha Yeni̇gün, Hali̇l Kütük

Turkish Journal of Chemistry

This study investigated the influence of synthetic sulfenimides on biodiesel–diesel fuel blends. Three previously synthesized sulfenimide derivatives were structurally characterized using spectroscopic techniques. We evaluated their antioxidant properties through phosphomolybdenum activity and reducing power capacity assays. The tested fuel samples were designated as D100, B10D90, B10D90_AA (ascorbic acid), B10D90_3, B10D90_2, and B10D90_1. The effect of adding 2000 ppm of the additive was measured using an Oxifast instrument following the ASTM D7545 standard, and the results were compared to those of the chemical antioxidant ascorbic acid. Inhibition time values were derived from the oxidation stability results. The starting temperatures for crystallization …

Expression, Purification, And Crystallization Of Recombinant Human Abl-1 Kinase For X-Ray Crystallography, Ayça İrgi̇t, Hali̇li̇brahi̇m Çi̇ftçi̇, Hasan Demi̇rci̇

Turkish Journal of Chemistry

Abelson-1 (ABL-1) is a nonreceptor tyrosine kinase that plays essential roles in various cellular processes, including proliferation, survival, differentiation and its kinase activity is tightly regulated. The dysregulated ABL-1 kinase activity is linked to disease pathogenesis like Chronic Myeloid Leukemia (CML), where the BCR::ABL-1 fusion oncoprotein drives oncogenic signaling. Due to its central role in CML pathogenesis, understanding the structure of ABL-1 is crucial for the effective management of the disease and drug development studies. This study focuses on optimizing the expression, purification and crystallization of the recombinant human ABL-1 kinase domain for its structural analysis via X-ray crystallography and …

Optimization Of Image Quality Of Simulated Multiple Detectors Computed Tomography Acquisition Parameters Using Machine Learning And Catphan Phantom, Ali O. Masoud, Najat K. Mohammed, Khamis O. Amour, Ahmed M. Jusabani, Denise Mwalongo, Mwingereza John Kumwenda

Tanzania Journal of Science

The study successfully employed Monte Carlo (MC) simulation and a Machine Learning (ML) approach using a Random Forest Regression (RFR) model to develop optimized Multi-Detector CT (MDCT) protocols that significantly reduce radiation dose while maintaining diagnostic image quality. The MC engine accurately modeled X-ray spectra, and the RFR model demonstrated high predictive power for key metrics, achieving R2 scores of 0.97 for CTDIvol and over 0.92 for image quality metrics (Noise, CNR). Through multi-objective optimization guided by the RFR, the final protocol (Optimization-3) was found on the Pareto front, achieving a notable 35% dose reduction (from 15.5 mGy to 9.9 …

Optimizing Gamma Radiation Shielding Of Low Bismuth Borate Glass Via Antimony Addition: Optical And Physical Insights, Shaimaa Hafez, Elsayed Salama, Wesam Omar

Basic Science Engineering

This study reports the fabrication and characterization of novel bismuth borate-based glass systems doped with varying concentrations of antimony oxide (Sb₂O₃) for gamma radiation shielding applications. Using the melt-quenching method, the glass systems [0] with x = 0, 1, 3, and 5 mol% were prepared. Density measurements, X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), and UV–Vis–NIR spectroscopy were employed to analyze the structural, physical, and optical properties systematically. The results show that increasing Sb₂O₃ content raises the glass density, refractive index, and oxygen packing density, while reducing the molar volume and optical band gap. These changes contribute to forming a …

Algorithmic Opacity In Opioid Risk Scoring And The Need For Transparent Ai Regulation, Sherry Yun Wang, Ryan Stofer, Zhouzhou Chu, Xiao Huang, Ang Li

Pharmacy Faculty Articles and Research

NarxCare®, a proprietary opioid risk scoring system embedded in Prescription Drug Monitoring Programs (PDMPs), has generated significant patient complaints. We adhered to the technical specifications and applied them to PDMP and IQVIA PharMetrics® Plus Closed Health Plan claims database. Despite adding socioeconomic covariates, precision (0.01–0.32) was far below the reported benchmark of 0.75, and F1 scores (0.02–0.39) were also substantially lower than the benchmark value of 0.65, across all our reconstructed models.

A Probabilistic Deep Learning Framework For Retrieving Chlorophyll-A From Hyperspectral Imagery: Integrating Channel Attention And Mixture Density Networks, Wenzhao Li, Surendra Maharjan, Rejoice Thomas, Junde Chen, Hesham Morgan, Michael J. Garay, Olga V. Kalashnikova, Shahryar Fazli, Charles Ichoku, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Accurate monitoring of Chlorophyll-a (Chla) is critical for assessing aquatic ecosystem health, yet ecological complexity often leads to ambiguous spectral signatures in satellite data. Traditional deterministic models assume a one-to-one mapping between spectra and pigments, often failing to capture these high-dimensional analytical challenges. In this study, we propose a novel deep learning architecture, the Channel Attention-Mixture Density Network (CA-MDN), to retrieve Chla from the National Aeronautics and Space Administration (NASA) Earth Surface Mineral Dust Source Investigation (EMIT) hyperspectral mission. The CA-MDN integrates an attention mechanism to dynamically select ecologically relevant spectral bands and employs a probabilistic output layer to quantify …

Hybrid Vision Transformer–Cnn Framework For Alzheimer’S Disease Cell Type Classification: A Comparative Study With Vision–Language Models, Md Easin Hasan, Md Tahmid Hasan Fuad, Omar Sharif, Amy Wagler

School of Mathematical & Statistical Sciences Faculty Publications

Accurate identification of Alzheimer’s disease (AD)-related cellular characteristics from microscopy images is essential for understanding neurodegenerative mechanisms at the cellular level. While most computational approaches focus on macroscopic neuroimaging modalities, cell type classification from microscopy remains relatively underexplored. In this study, we propose a hybrid vision transformer–convolutional neural network (ViT–CNN) framework that integrates DeiT-Small and EfficientNet-B7 to classify three AD-related cell types—astrocytes, cortical neurons, and SH-SY5Y neuroblastoma cells—from phase-contrast microscopy images. We perform a comparative evaluation against conventional CNN architectures (DenseNet, ResNet, InceptionNet, and MobileNet) and prompt-based multimodal vision–language models (GPT-5, GPT-4o, and Gemini 2.5-Flash) using zero-shot, few-shot, and chain-of-thought …

Re: Approval Letter For The Final Repository Siting Study (Rss) Detailed Evaluation And Recommendations Report (Dated February 11, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Assessing The Geomechanical Modelling Of Underground Reservoir For Co₂ Storage Trapping Mechanisms, Bonavian Hasiholan, Mohammed Ali Farea, Elhassan Mostafa Abdallah, Sami Abdelrahman M. Yagoub, Yasir Mukhtar

Mathematical Modelling and Numerical Simulation with Applications

Effective carbon dioxide (CO₂) storage is essential for mitigating climate change amid increasing global greenhouse gas emissions. This study investigates the influence of geomechanics on CO₂ storage performance within carbon capture and storage (CCS), focusing on structural, residual, and solubility trapping mechanisms using a fully coupled modeling framework. Two numerical models, with and without geomechanical effects, are developed to evaluate impacts on reservoir behavior, CO₂ migration, and trapping efficiency. Each mechanism is analyzed separately and within an integrated framework to assess their combined contributions. Results indicate that geomechanical coupling increases reservoir pressure, reduces CO₂ flow velocity, enhances migration control, and …

Trends In Self-Reported Responses To Nutrition Facts Labels Before And After Nutrition Labeling Policy Implementation: A Comparison Of Adults In The United States And Mexico, Jim Thrasher Ph.D., Ma, Ms, Victor Vilalobos, Dai Fang, Alejandra Jáuregui, Alejandra Contreras-Manzano, Rachel Davis Ph.D., Lana Vanderlee, Christine M. White, Rachel B. Acton, James W. Hardin, Edward A. Frongillo Jr. Ph.D., Simón Barquera, David Hammond

Faculty Publications

Background

Objectives

Methods

Promoting Water Security Of South-To-North Water Diversion Project For National Water Network, Quanfa Zhang, Guihua Liu, Chesheng Zhan, Xiaobo Ren

Bulletin of Chinese Academy of Sciences (Chinese Version)

The South-to-North Water Diversion Project is a crucial infrastructure initiative aiming at optimizing nation-wide distribution of water resources, meanwhile fostering sustainable economic and social development, and ensuring the well-being of the people. The project, with its extensive scope and high technical complexity, particularly in the middle and west routes located in biodiversity hotspots such as the Qinling Mountains and the Qinghai-Xizang Plateau, may alter local microclimates, potentially triggering meteorological disasters such as droughts, thunderstorms, and hail, along with secondary hazards. The implementation of the project may also disrupt the local hydrological conditions, disturb the balance of the existing atmospheric-vegetation-soil system, …

Https://Digitalcommons.Mtech.Edu/Superfund_Silverbowbutte/1787/, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

A Decolonial Approach To International Education: Insights From A Cal Poly Global Program In Palermo, Sicily, Elvira Pulitano, Iyad Jamaly

csuglobalaction

This article presents a critical intervention in the current debates about decolonizing international education. It is based on a Global Program in Palermo, Sicily, offered by Cal Poly San Luis Obispo in summer 2023. As both program creator/director and student participant in the program, the authors rely on their personal experience and insights along with expertise in coloniality and decolonial theories. The article focuses on a series of pedagogical activities led by a young group of migrants and refugees who, in the city of Palermo, have come together to form two associations designed and structured to offer new contemporary models …

Cerebral Documents And Algorithmic Sensemaking: Searching For Expressions In Human And Artificial Cognitive Collaborations, Rebekah L. Cowell

Proceedings from the Document Academy

Generative Artificial Intelligences (AIs) and current advanced large language models (LLMs) are algorithmically designed to generate text-based conversations as conversational agents (CAs), by replicating human language and conversational communication. Pairing human cognition with generative computationally coded cognition. We have never been here before: cerebral and artificial information collaborations and processing producing expressions that may or may not become visible as second-hand/secondary source documents.

Sensemaking or sense(un)making is a unique autonomous human drive cognitively, our information processing is sensemaking in action and expressions and articulations are evidence of the sensemaking cycle. Documentation [expressed or articulated through various mediums] are a product …

Representing The Apparatus In Nineteenth And Twentieth Century Chemical Abstracting Literature, Evan F. Kuehn

Proceedings from the Document Academy

The rise of abstracting services in the 20th century is usually associated with the explosion of original scientific research and its attendant journal literature. The abstract was a tool of information dissemination and access for increasingly expansive and international work. What is often overlooked, however, is the correlation between original research and the technologies that made these advances available. Scientific apparatuses were, however, documented from the beginning, and were also a part of the rise of abstract literature in the 19^th and 20^th centuries. In this paper I examine the development of abstracts for apparatuses and patents in …

A Transcriptional Program Associated With Neurotransmission In The Living Human Brain, Alexander W. Charney, Lora E. Liharska, Eric Vornholt, Alissa Valentine, Anina Lund, Alice Hashemi, Ryan C. Thompson, Terry Lohrenz, Jessica S. Johnson, Nicole Bussola, Esther Cheng, You Jeong Park, Salman Qasim, Alisha Aristel, Lillian Wilkins, Kimia Ziafat, Hannah Silk, Lisa M. Linares, Brendan Sullivan, Claudia Feng, Beniamino Hadj-Amar Ph.D.

Faculty Publications

At the foundation of neurotransmission, and by extension at the foundation of brain function, are coordinated programs of gene expression involving many thousands of genes. These programs are poorly defined in humans because most modern studies that characterize human brain gene expression use tissue obtained in the postmortem state when neurotransmission and brain function have ceased. Here, to advance knowledge of the gene expression programs at the foundation of neurotransmission in the human brain, gene expression was characterized in 130 prefrontal cortex (PFC) samples obtained from participants of the Living Brain Project (LBP) during neurosurgical procedures in conjunction with intracranial …

Ai-Guided Binding Mechanisms And Molecular Dynamics For Mers-Cov, Pradyumna Kumar, Lingtao Chen, Rachel Yuanbao Chen, Yin Chen, Seyedamin Pouriyeh, Progyateg Chakma, Abdur Rahman Mohd Abul Basher, Yixin Xie

Faculty Articles

The MERS-CoV (Middle East respiratory syndrome coronavirus) is a zoonotic virus with a high mortality rate and a lack of antiviral drugs, underscoring the need for effective therapeutic methods. Viral entry depends on interactions between viral surface proteins and human receptors, with Dipeptidyl Peptidase-4 (DPP4), a transmembrane glycoprotein, acting as the receptor for MERS-CoV. We employed Molecular Dynamics (MD) Simulations to identify critical interface residues under a high-performance computing (HPC) workflow for accelerated results. Target residue pairs were identified through analysis of salt bridge and hydrogen bond occupancy. The stability of these residues was confirmed through three independent MD Simulations …