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From The Margins To The Center: The Transformative Promise Of Philosophy For Children, Maughn Rollins Gregory, Megan Jane Laverty, Joe Oyler Dec 2025

From The Margins To The Center: The Transformative Promise Of Philosophy For Children, Maughn Rollins Gregory, Megan Jane Laverty, Joe Oyler

Department of Educational Foundations Scholarship and Creative Works

What began as an innovative idea in the late 1960s—the recognition that even very young children are philosophically disposed—is no longer considered novel. While philosophy for children has transitioned from a fledgling initiative to a worldwide movement, it remains on the margins of education. In this article, we look back at key initiatives that have advanced its growth before looking ahead to what can move philosophy for children to the center of education. We consider the introduction and development of materials that invite children into philosophical spaces, the community of philosophical inquiry as a model of teachers' and children's philosophical …

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Online Decision Mamba, Trenton W. Ruf Dec 2025

Online Decision Mamba, Trenton W. Ruf

Dissertations and Theses

Online in-context reinforcement learning enhances offline-trained policies through online fine-tuning. We introduce Online Decision Mamba (ODM), an architecture that replaces the attention mechanism in Online Decision Transformers (ODT) with the Mamba module to improve long-context sequence modeling and overall RL performance. We performed in-depth evaluations on MuJoCo (OpenAI Gym) and Atari benchmarks, comparing ODM against state-of-the-art offline and online baselines—including Decision Mamba (DM) and ODT. Our results show that ODM achieves competitive or superior performance, with particularly robust gains when initial datasets lack expert demonstrations. In the Qbert Atari environment, ODM shows context-length sensitivity similar to offline DM; however, we …

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Modeling Private Debt Using U.S. Consumer Expenditure Data, Stsiapan Dziamentsyeu Dec 2025

Modeling Private Debt Using U.S. Consumer Expenditure Data, Stsiapan Dziamentsyeu

Honors Capstones

This project models private household debt among U.S. consumers using data from the Consumer Expenditure Survey (CES) between 2013 and 2023. The analysis focuses on identifying how demographic and economic characteristics, such as income, housing expenditures, education, and occupation, relate to non-mortgage “other” loan balances. After initial model development produced poor residual behavior due to zero-inflation from imputed debt values, the analysis was refined to include only households reporting verifiable debt. Multiple modeling techniques, including AIC-based variable selection and Lasso regularization, were compared under a five-fold cross-validation framework. The Lasso model achieved superior predictive accuracy (RMSE = 1.55, MAE = …

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The Activity Of Unripe Wood Apple (Limonia Acidissima Groff) Peel And Flesh Extracts In Inhibiting Diarrhe-Causing Bacteria, Idar Idar, Ika Kurnia Sukmawati, Dewi Kurnia, Tina Siti Nurjanah, Lestari Hutasoit Dec 2025

The Activity Of Unripe Wood Apple (Limonia Acidissima Groff) Peel And Flesh Extracts In Inhibiting Diarrhe-Causing Bacteria, Idar Idar, Ika Kurnia Sukmawati, Dewi Kurnia, Tina Siti Nurjanah, Lestari Hutasoit

Chimica et Natura Acta

Diarrhea is characterized by having liquid stool more often than usual, typically occurring three or more times within a 24-hour period. While rarely fatal, it can disrupt daily life and is often treated with antibiotics due to pathogens like Bacillus cereus, Shigella flexneri, and Salmonella typhimurium. An overgrowth of Escherichia coli can also be a contributing factor. Recent studies suggest that unripe wood apples may have antibacterial properties. This study evaluates the antibacterial activity of extracts from the peel and flesh of the fruit against the bacteria, as mentioned earlier. Using disk diffusion, microdilution, and bioautography methods, it was found …

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Data For "Large Projected Increases In Area Burned And Wildfire Frequency By 2050 In Utah, Usa", Joseph D. Birch, Yoshimitsu Chikamoto, James A. Lutz Dec 2025

Data For "Large Projected Increases In Area Burned And Wildfire Frequency By 2050 In Utah, Usa", Joseph D. Birch, Yoshimitsu Chikamoto, James A. Lutz

Browse all Datasets

Changes in wildfire regimes may disrupt ecosystem processes as wildfires burn larger areas or burn more frequently than the recent natural range of variability. The climatic drivers of wildfire behavior may change in strength but these effects are not likely to be uniform across space and between different vegetation types. Increased understanding of how weather and climate influence patterns of burn area and frequency across vegetation types may assist in better predicting and managing future wildfire regimes. We examined a dataset of all 1469 wildfires ≥40 ha from 1984 – 2021 in Utah, USA and used antecedent daily weather data …

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Commedia Accademica: An Autoethnographic Trajectory Of The Metacognitive Awakening And Critical Consciousness Development Of An Afro-Belizean American Male Math Teacher, Jason Garcia Dec 2025

Commedia Accademica: An Autoethnographic Trajectory Of The Metacognitive Awakening And Critical Consciousness Development Of An Afro-Belizean American Male Math Teacher, Jason Garcia

LMU Theses and Dissertations

ABSTRACT Commedia Accademica: An Autoethnographic Trajectory of the Metacognitive Awakening and Critical Consciousness Development of an Afro-Belizean American Male Math Teacher by Jason Gregory Garcia The current autoethnography involved an epic poetic approach that sought to dismantle and disrupt an intricate network of the school-to-prison pipeline (McCarter, 2017) paradigms designed to subjugate African American male pupils in dysfunctional educational contexts. R. S. Smith (2025) stated, “Autoethnographies can use alternate forms of representation. . . . Because the study was an autoethnography, my reality, as researcher-participant, is seen through a unique window to the world” (p. 22). The literature suggests implementing …

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Statistical Validation Of The Microplate Reader For Antioxidant Activity Measurement Using The Dpph Assay, Rismawati Rismawati, Dikdik Kurnia, Ersanda Hafiz, Muhammad Ihda H. L. Zein Dec 2025

Statistical Validation Of The Microplate Reader For Antioxidant Activity Measurement Using The Dpph Assay, Rismawati Rismawati, Dikdik Kurnia, Ersanda Hafiz, Muhammad Ihda H. L. Zein

Chimica et Natura Acta

Antioxidants research has been garnering increased interest among researchers, particularly in the fields of medicine and health, focusing on both natural and synthetic antioxidants. The DPPH method is the most used approach for antioxidant analysis due to its efficiency, simplicity, and accuracy. This study aims to validate the sensitivity of the microplate reader compared to UV-Vis spectrophotometer, both used for measuring absorbance in the DPPH antioxidant test. The samples used in this study include ascorbic acid, gallic acid, and quercetin standards. Statistical validation in the DPPH antioxidant test includes precision testing, T-test, and % recovery test. Based on the statistically …

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Study And Characterization Of Nitration Of Isovanillic Acid Derivatives Using Nmr And Mass Spectroscopy, Elvira Hermawati, Pipih Lutfi Sa'adah, Ade Danova, Didin Mujahidin, Iqbal Musthapa Dec 2025

Study And Characterization Of Nitration Of Isovanillic Acid Derivatives Using Nmr And Mass Spectroscopy, Elvira Hermawati, Pipih Lutfi Sa'adah, Ade Danova, Didin Mujahidin, Iqbal Musthapa

Chimica et Natura Acta

Isovanillic acid and its derivatives serve as precursors in the synthesis of EGFR tyrosine kinase inhibitors, which are used to treat cancer cell lines. A crucial step in this process is the nitration of isovanillic acid through nucleophilic aromatic substitution, resulting in 6-nitroisovanilic acid and its derivatives, which act as intermediates for forming a quinazolinone ring. However, this study revealed that direct nitration of isovanillic acid derivatives led to unexpected products, such as 3-hydroxy-4-methoxy-2,6-dinitrobenzoic acid (1) and 4-(3-(2-methoxy-4-nitrophenoxy)propyl)morpholine (4). Additionally, the optimal conditions for etherification of 2 with N-(3-chloropropyl)morpholine to produce 3 involved using Cs2CO3 in DMF and refluxing for …

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Towards Fair Sequential Resource Allocation: Algorithmic Designs, Interventions, And Evaluations, Ashwin Kumar Dec 2025

Towards Fair Sequential Resource Allocation: Algorithmic Designs, Interventions, And Evaluations, Ashwin Kumar

McKelvey School of Engineering Graduate Student Theses & Dissertations

This thesis develops a comprehensive framework for fair sequential resource allocation in multi-agent systems where a centralized allocator coordinates actions under global feasibility constraints, while satisfying preferences of different agents. Ranging from ridesharing platforms and homelessness intervention programs to power grid management, such systems play a critical role in shaping access to essential resources. Yet, existing approaches to resource allocation often prioritize aggregate utility, leading to systematic inequities across individuals and groups, particularly in sequential settings where decisions unfold over time. To address this challenge, we introduce the Distributed Evaluation, Centralized Allocation (DECA) framework, which unifies a broad class of …

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Gwtc-4.0: An Introduction To Version 4.0 Of The Gravitational-Wave Transient Catalog, A. G. Abac, Teviet Creighton, Mario C. Diaz, Raul Alberto Espinosa Perez, J. Lawrence, Francisco Llamas Villarreal, Soma Mukherjee, Volker Quetschke, Wenhui Wang Dec 2025

Gwtc-4.0: An Introduction To Version 4.0 Of The Gravitational-Wave Transient Catalog, A. G. Abac, Teviet Creighton, Mario C. Diaz, Raul Alberto Espinosa Perez, J. Lawrence, Francisco Llamas Villarreal, Soma Mukherjee, Volker Quetschke, Wenhui Wang

Physics & Astronomy Faculty Publications

The Gravitational-Wave Transient Catalog (GWTC) is a collection of short-duration (transient) gravitational-wave signals identified by the LIGO–Virgo–KAGRA Collaboration in gravitational-wave data produced by the eponymous detectors. The catalog provides information about the identified candidates, such as the arrival time and amplitude of the signal and properties of the signal’s source as inferred from the observational data. GWTC is the data release of this dataset, and version 4.0 extends the catalog to include observations made during the first part of the fourth LIGO–Virgo–KAGRA observing run up until 2024 January 31. This Letter marks an introduction to a collection of articles related …

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Accessing Cation And Anion Redox In Mixed-Valent One-Dimensional Iron-Chalcogenides, Na1.5fe1s2–Xsex(X = 0, 1, And 2), For Na-Ion Batteries, Santhoshkumar Sundaramoorthy, Milad Aghayi-Anaraki, Sutapa Bhattacharya, Amitava Choudhury Dec 2025

Accessing Cation And Anion Redox In Mixed-Valent One-Dimensional Iron-Chalcogenides, Na1.5fe1s2–Xsex(X = 0, 1, And 2), For Na-Ion Batteries, Santhoshkumar Sundaramoorthy, Milad Aghayi-Anaraki, Sutapa Bhattacharya, Amitava Choudhury

Chemistry Faculty Research & Creative Works

Sodium-ion batteries (NIBs) have attracted considerable attention as a cost-effective and sustainable alternative to lithium-ion batteries (LIBs), owing to the abundance and low cost of sodium resources. Here, we investigate previously reported mixed-valent (Fe3+/2+) one-dimensional (1D) iron chalcogenides: Na1.5FeS2, its selenide analogue Na1.5FeSe2, and newly developed solid solution Na1.5FeSSe, focusing on their synthesis, structural characterization, and electrochemical performance in NIBs. While the full Fe2+sulfide version (NaFeS2) of the compound is explored in solid-state cells for its dual cation–anion redox mechanism, we reveal the effect of anion substitution on the electrochemical behavior of Na1.5FeS2–xSex(x = 0, 1, …

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Sustainable Polyaddition Path To Polyesters Via Catalytic Homocoupling Of Renewable Dicrotonate Monomers, Shabbir Asif, Mahsa Saeidi, Braden D. Pickle, Nicholas J. Tabbah, Michael L. Mcgraw Dec 2025

Sustainable Polyaddition Path To Polyesters Via Catalytic Homocoupling Of Renewable Dicrotonate Monomers, Shabbir Asif, Mahsa Saeidi, Braden D. Pickle, Nicholas J. Tabbah, Michael L. Mcgraw

Chemistry & Biochemistry Faculty Publications and Presentations

The development of biorenewable polyhydroxyalkanoate (PHA) chemistry has generated interest in crotonate-based monomers as versatile building blocks. Crotonates can be obtained through the pyrolysis of PHAs, offering both a sustainable end-of-life pathway for PHAs and a renewable route to crotonate monomers. This study presents a new polyaddition-type step-growth polymerization of dicrotonates in which alkene-functionalized polyesters are synthesized using potassium tert-butoxide as a simple base catalyst. The reaction proceeds rapidly at room temperature, achieving >99% conversion within seconds and requiring no byproduct removal. The properties of the resulting polyesters can be tuned via the choice of bridging diol, and the materials …

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Synthesis And Characterization Of Copper Nanoparticles: A Laboratory Experiment For Undergraduate Physical Chemistry, Jonathan Batey, Deborah Okyere, Sarah York, Feng Wang, Jingy Chen Dec 2025

Synthesis And Characterization Of Copper Nanoparticles: A Laboratory Experiment For Undergraduate Physical Chemistry, Jonathan Batey, Deborah Okyere, Sarah York, Feng Wang, Jingy Chen

Chemistry & Biochemistry Faculty Publications and Presentations

Nonprecious metal nanoparticles have been the subject of intensive research, due to their potential applications in promoting sustainability. This integrated laboratory experiment is designed to provide undergraduate students with hands-on experience in synthesizing and characterizing nonprecious metal nanoparticles, specifically copper nanoparticles. The experiment consists of three sections, each tailored to teach a unique aspect of nanochemistry. Section 1 focuses on the air-free synthesis of copper nanoparticles using a solution-based method with an emphasis on understanding their plasmonic properties and how oxidation impacts them. Section 2 explores the quantitative analysis of copper, where students apply crystal field theory to understand the …

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Citizen's Rare Plant Watch 2025 Recap, Nora Dunkirk Dec 2025

Citizen's Rare Plant Watch 2025 Recap, Nora Dunkirk

Rae Selling Berry Seed Bank and Plant Conservation Program

Citizen's Rare Plant Watch (CRPW) is a community science program which takes volunteers out to visit populations of rare and threatened Oregon native plant species. Volunteers assess their health and viability, update the Oregon Biodiversity Information Center (ORBIC) state database for rare species, and help contribute to data driven management decisions throughout the state. Housed at Portland State University, this program is open to the public and attracts plant lovers from diverse backgrounds. Each spring, CRPW trains volunteers on methods of data collection, and this year we implemented new technology using Survey123 to streamline population assessments. We focus on species …

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Is Hockey Still Canada’S Game? How Usa Teams Have Won Every Stanley Cup Since 1994, Aaron Montgomery, Long Doan, Joe Demaio, Michael Frankel Dec 2025

Is Hockey Still Canada’S Game? How Usa Teams Have Won Every Stanley Cup Since 1994, Aaron Montgomery, Long Doan, Joe Demaio, Michael Frankel

Symposium of Student Scholars

The last Canadian team to win Lord Stanley’s cup in the National Hockey League was the Montreal Canadiens in 1993. Since then, each championship has been claimed by a team geographically located in the United States. Is this streak unusual? Perhaps it is particularly unusual in light of the fact that Hockey is known as Canada’s game. Is Hockey in its modern incarnation still Canada’s game? Given the long history of the NHL should we expect such a streak to occur at some point in time? Are we too fixated on the geographic location of the teams in question? Perhaps …

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Prism (Proxy Recognition And Inclusion Scoring Method), Destiny Raburnel, Crystal Tubbs, Md Abdullah Al Hafiz Khan Dec 2025

Prism (Proxy Recognition And Inclusion Scoring Method), Destiny Raburnel, Crystal Tubbs, Md Abdullah Al Hafiz Khan

Symposium of Student Scholars

AI-driven automated hiring tools are reshaping how companies find talent, but they often reproduce the hidden biases embedded in their training data. Our project, PRISM (Proxy Recognition and Inclusion Scoring Method), investigates how subtle demographic signals, specifically first names associated with gender and race, influence AI resume screening even when candidates have identical qualifications. We built a controlled dataset of resumes that are identical in every way except for the applicant's first name, with each resume using a racially neutral surname to isolate how first names alone affect scoring. We tested these resumes against job postings in technology, healthcare, and …

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Degeneracies In A Weighted Sum Of Two Squares, Ishan V. Ramesh Dec 2025

Degeneracies In A Weighted Sum Of Two Squares, Ishan V. Ramesh

Rose-Hulman Undergraduate Mathematics Journal

This work is an attempt to classify and quantify instances when a weighted sum of two squares of positive integers, 3n2 1 +n2 2, can be realized in more than one way. Our project was inspired by a particular study of two-dimensional quantum billiards [S. G. Jackson, H. Perrin, G. E. Astrakharchik, and M. Olshanii, SciPost Phys. Core 7, 062 (2024)] where the weighted sums of interest represents an energy level with the two integers being the billiard’s quantum numbers; there, the 3-fold degeneracies seem to dominate the energy spectrum. Interestingly, contrary to the conventional paradigm, these degeneracies are not …

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Working With The Irs, Gordon T. Stine Dec 2025

Working With The Irs, Gordon T. Stine

Tax Adviser

No abstract provided.

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Ada News - 12/8/2025, American Dental Association, Publishing Division Dec 2025

Ada News - 12/8/2025, American Dental Association, Publishing Division

ADA News

Established in 1970 as the official newspaper of the American Dental Association, the ADA News serves practicing dentists and others allied to the dental profession in the U.S. and internationally. It is the No. 1 source of news and information about the many benefits and services the ADA delivers to members daily as well as timely information on scientific, social, political and economic developments affecting dentistry and health care.

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Engineered Multifunctional Drug-Loaded Dendrimer Nanoparticles For Glaucoma: Triple Mechanism Via Antioxidant Activity, Iron Chelation, And Enhanced Ocular Transport, Burhan Ates, Ashish Trital, Vimalin Jeyalatha Mani, Lei Xu, Jonathan Kenlee, Nuran Ercal, Hu Yang Dec 2025

Engineered Multifunctional Drug-Loaded Dendrimer Nanoparticles For Glaucoma: Triple Mechanism Via Antioxidant Activity, Iron Chelation, And Enhanced Ocular Transport, Burhan Ates, Ashish Trital, Vimalin Jeyalatha Mani, Lei Xu, Jonathan Kenlee, Nuran Ercal, Hu Yang

Chemistry Faculty Research & Creative Works

In this study, we developed multifunctional nanoparticles based on polyamidoamine (PAMAM) dendrimers functionalized with caffeic acid (CA) and poly (ethylene glycol) maleimide (PEGM) for the topical delivery of hydrophobic antiglaucoma drugs brimonidine (BM) and betaxolol (BX). The PAMAM-CA and PAMAM-CA-PEGM conjugates exhibited antioxidant and iron-chelating activities in a dose-dependent manner. BM- and BX-loaded dendrimer nanoparticles produced using a multi-inlet vortex mixer showed uniform spherical morphology (∼80 nm by TEM) and hydrated sizes of ∼135-144 nm by DLS. Both nano formulations demonstrated high cytocompatibility with human corneal epithelial cells and were nonirritant in the HET-CAM assay, with PEGM further improving cytocompatibility. …

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Math Meets Climate: The Energy Balance Model, Maria I. Sanchez Muniz Dec 2025

Math Meets Climate: The Energy Balance Model, Maria I. Sanchez Muniz

Open Educational Resources

This assignment introduces students to the mathematics of Earth’s climate through the classical energy balance model. Students analyze how incoming solar radiation, outgoing thermal radiation, and temperature-dependent albedo interact to determine Earth’s equilibrium temperature. Using analytical calculations and computational tools, students identify equilibrium states, assess their stability, and interpret the results through the lens of dynamical systems and bifurcation theory. The activity builds conceptual understanding of climate feedbacks, greenhouse effects, and tipping behavior using a transparent, one-variable model. Designed for applied mathematics and interdisciplinary STEM courses, this assignment emphasizes computation, physical interpretation, and real-world relevance. It is released as a …

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Water Circulation Beneath A Hovering Suas For Water Quality Monitoring Applications, Erin E. Hackett, Boone Fleenor, Jensine C. Coggin, Duvall Dickerson-Evans, Nikolaos Vitzilaios, Whitney E. Schuler, Paige K. Williams, Michael L. Myrick Dec 2025

Water Circulation Beneath A Hovering Suas For Water Quality Monitoring Applications, Erin E. Hackett, Boone Fleenor, Jensine C. Coggin, Duvall Dickerson-Evans, Nikolaos Vitzilaios, Whitney E. Schuler, Paige K. Williams, Michael L. Myrick

Marine Science

Water quality has traditionally been measured via in situ sensors and satellites. The latter has limited applicability for smaller inland water bodies, while the former requires significant logistics, labor, and expense for routine sampling, and reactive/spurious sampling is often not feasible as a result (e.g., sampling pre-/post-storm). Consequently, small uncrewed aircraft system-based (sUAS-based) sampling has emerged as a potential solution to bridge these sampling gaps and challenges. But sampling from an sUAS is complicated by the need to pump water from depth, rather than suspending a sensor from the sUAS, due to concern over sampling sUAS-impacted waters. Here, we measure …

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An Assessment And Comparison Of Expert System Performance And Large Language Model Performance, Carter A. Lange Dec 2025

An Assessment And Comparison Of Expert System Performance And Large Language Model Performance, Carter A. Lange

ATU Honors Projects

This study compares the performance of knowledge-based expert systems (KBES) and large language models (LLMs) in narrow-domain tasks. Using Akinator as the representative KBES and ChatGPT as the representative LLM, fifty character-identification trials were conducted. Results show that both systems ultimately succeeded in identifying all characters, but their efficiency and accuracy differ. Akinator required fewer incorrect guesses and produced no identifiable total failures, or “errors,” while ChatGPT occasionally erred beyond possible continuation despite similar average guess counts. Statistical analysis revealed no significant difference in the number of questions required before success, but McNemar’s test indicated that ChatGPT made significantly more …

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Re: Approval Letter For The Revised Butte Priority Soils Operable Unit (Bpsou) Butte Treatment Lagoons (Btl) Groundwater Treatment System Annual Operations, Maintenance, And Monitoring (Om&M) Plan – 2023 (Dated October 29, 2025), Emma Rott Dec 2025

Re: Approval Letter For The Revised Butte Priority Soils Operable Unit (Bpsou) Butte Treatment Lagoons (Btl) Groundwater Treatment System Annual Operations, Maintenance, And Monitoring (Om&M) Plan – 2023 (Dated October 29, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Jer-2021 Assistance To The State Water Resources Research Institute Program (Year 1 Of 5) For The 104(B) Program, David Tarboton Dec 2025

Jer-2021 Assistance To The State Water Resources Research Institute Program (Year 1 Of 5) For The 104(B) Program, David Tarboton

Funded Research Records

No abstract provided.

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Bcser: Learning Analytics For Process-Driven Computer Programming Assignments, Hamid Karimi Dec 2025

Bcser: Learning Analytics For Process-Driven Computer Programming Assignments, Hamid Karimi

Funded Research Records

No abstract provided.

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Predicting Skin Concern Severity From Genetic And Lifestyle Factors: A Comparative Multi-Output Machine Learning Framework, Yassine Benachour, Lina Maloukh, Sadok Bouamama, Barbara Geusens Dec 2025

Predicting Skin Concern Severity From Genetic And Lifestyle Factors: A Comparative Multi-Output Machine Learning Framework, Yassine Benachour, Lina Maloukh, Sadok Bouamama, Barbara Geusens

All Works

Personalized dermatology increasingly leverages both genetic predispositions and lifestyle behaviors to model individual skin health outcomes. This study proposes a multi-output machine learning framework to predict the severity of six dermatological phenotypes—acne, redness, dryness, sensitivity, scarring, and pigmentation—using a multimodal dataset of 5,254 individuals. Input features include mutation profiles for six skin-related genes (FLG, MMP1, MMP3, AQP3, SOD2, GPX) and 22 lifestyle variables such as sun exposure, stress, and hydration. We train and evaluate LightGBM models under independent, multi-output, and chained configurations. Performance is assessed using Mean Absolute Error (MAE) and average Quadratic Weighted Kappa (QWK). The proposed ordinal-aware independent …

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The Echo: December 8, 2025, Taylor University Dec 2025

The Echo: December 8, 2025, Taylor University

2025-2026 (Volume 113)

No abstract provided.

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Board Of Directors Meeting Minutes (December 8, 2025), Dmacc Dec 2025

Board Of Directors Meeting Minutes (December 8, 2025), Dmacc

Board of Directors Meeting Minutes

This file contains the minutes from the Des Moines Area Community College Board meeting held on December 8, 2025.

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Artificial Intelligence In Insurance Fraud Detection: Applications And Implications For Internal Audit, Maria Davis Dec 2025

Artificial Intelligence In Insurance Fraud Detection: Applications And Implications For Internal Audit, Maria Davis

Honors Projects

Artificial Intelligence (AI) is being used in accounting and the insurance industry to assist with auditing and fraud detection. The Big Four public accounting firms have invested heavily in AI implementation efforts. Across these firms, AI has been used to reallocate auditors’ time from mundane tasks to more complex tasks that require human judgement. Within the insurance industry, machine learning, deep learning, and natural language processing, among other AI tools, have proven helpful in fraud detection efforts. While the positive impacts of AI usage are clear, concerns surrounding the replacement of human jobs, a lack of transparency in auditing, heavy …

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