Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 1021 - 1050 of 714480

Full-Text Articles in Entire DC Network

Re: Approval Letter For The Draft Final Butte Priority Soils Operable Unit Insufficiently Reclaimed Sites Temporary Best Management Practices Work Plan: Bres No. 16 – Curry And Bres No. 50 – Zelia, Molly Roby Sep 2026

Re: Approval Letter For The Draft Final Butte Priority Soils Operable Unit Insufficiently Reclaimed Sites Temporary Best Management Practices Work Plan: Bres No. 16 – Curry And Bres No. 50 – Zelia, Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


Discovering Repurposable Drugs For Alzheimer's Disease And Related Dementias: Target Trial Emulation Using Decentralised Real-World Data, Qiong Wu, Lu Li, Yuqing Lei, Ting Zhou, Huilin Tang, Bingyu Zhang, Yiwen Lu, Maxwell Salvatore, Dazheng Zhang, Jiayi Tong, Tingyin Wang, Siqi Chen, Haoyang Li, Zhenxing Xu, Yu Huang, Yu Hu, Na Hong, Yujia Zhou, Fongci Lin, Kyra O'Brien, Yong Chen, Ruowang Li, Hua Xu, Fei Wang, Jiang Bian, David Wolk, Yong Chen Sep 2026

Discovering Repurposable Drugs For Alzheimer's Disease And Related Dementias: Target Trial Emulation Using Decentralised Real-World Data, Qiong Wu, Lu Li, Yuqing Lei, Ting Zhou, Huilin Tang, Bingyu Zhang, Yiwen Lu, Maxwell Salvatore, Dazheng Zhang, Jiayi Tong, Tingyin Wang, Siqi Chen, Haoyang Li, Zhenxing Xu, Yu Huang, Yu Hu, Na Hong, Yujia Zhou, Fongci Lin, Kyra O'Brien, Yong Chen, Ruowang Li, Hua Xu, Fei Wang, Jiang Bian, David Wolk, Yong Chen

College of Population Health Faculty Papers

BACKGROUND: Alzheimer's disease and related dementias (ADRD) affect nearly 6.9 million Americans, with the number expected to triple by 2050, while disease-modifying therapies remain unavailable. Drug repurposing, which identifies new indications for already approved medications, offers a more efficient and cost-effective pathway to accelerate development of effective therapies for ADRD. The aim of this study is to identify potential drug repurposing signals by systematically screening routinely prescribed drugs for associations with progression from mild cognitive impairment (MCI) to ADRD.

METHODS: We conducted a multi-site target trial emulation using electronic health record (EHR) data from four decentralised databases: INSIGHT Clinical Research …


Clark Tailings Consolidated Waste Management Area (Ctcwma) Site Investigation Draft Data Summary Report 2024 Surface Water, Groundwater, And Soil Characterization, Woodard & Curran Sep 2026

Clark Tailings Consolidated Waste Management Area (Ctcwma) Site Investigation Draft Data Summary Report 2024 Surface Water, Groundwater, And Soil Characterization, Woodard & Curran

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


Kant, Stephan Körner Sep 2026

Kant, Stephan Körner

Hannah Arendt Marginalia - All

Harmondsworth ; Middlesex : Penguin Books, 1955.

Call #: B2798 .K6

Contains underlining  PDF information: 15 pages - 5.5 MB


Preoperative Urine Drug Screen To Increase Surgical Efficiency, Joseph Mashinchi Sep 2026

Preoperative Urine Drug Screen To Increase Surgical Efficiency, Joseph Mashinchi

SIU Journal of Medical Science Scholarly Works

Purpose: The purpose of this article is to standardize the use of preoperative urine drug screens for adults scheduled for elective surgery in order to improve surgical efficiency and reduce perioperative and postoperative complications.

Method: A PubMed Search was conducted to review literature published within the past five years. The joint terms “urine drug screen and surgery” were used in the search. A literature review was conducted after reviewing multiple articles and screening for their quality, timeliness, and pertinence to elective surgical procedures and illicit drug use.

Results: Performing a urine drug screen prior to elective surgical procedure identified illicit …


Studying Electromagnetic Wave Scattering From Small Dielectric Particles Using Neural Networks, Bryan Taylan, Patrick Corzo, Chris Velissaris, Theodoros Panagiotakopoulos Sep 2026

Studying Electromagnetic Wave Scattering From Small Dielectric Particles Using Neural Networks, Bryan Taylan, Patrick Corzo, Chris Velissaris, Theodoros Panagiotakopoulos

Undergraduate Scholarship and Creative Works

Physics-informed neural networks solve the Helmholtz equation without labeled data, but a low residual alone does not confirm that a solution preserves the physical distinction a downstream task depends on. We trained a four-layer SIREN with physics-based residuals, a Sommerfeld condition, Adam, and L-BFGS, modeling a Gaussian source and a plane wave scattering from a small dielectric inclusion. Fine-tuning from four base models produced 600 complex fields spanning omega = 4 to 20. A compact CNN, three ResNet-18 variants, and a frozen OpenCLIP encoder classified these fields under five random seeds. The CNN achieved (95.65 +/- 0.77)% accuracy, outperforming OpenCLIP …


Genesis And Structure Of Hegel's Phenomenology Of Spirit, Jean Hyppolite Sep 2026

Genesis And Structure Of Hegel's Phenomenology Of Spirit, Jean Hyppolite

Hannah Arendt Marginalia - All

No abstract provided.


Octvec-Xd: Deterministic Multi-Resolution Integer Signatures For Multidimensional Vectors, Nenad Micic Sep 2026

Octvec-Xd: Deterministic Multi-Resolution Integer Signatures For Multidimensional Vectors, Nenad Micic

Defensive Publications Series

A technique is proposed herein for converting a multivariate integer vector into a deterministic, fixed-size, multi-resolution signature that separates sign pattern, magnitude scale, quantization frame, and coarse-to-fine direction. Exact integer quantization, bounded portable arithmetic, nested resolution fields, and versioned records provide reproducible results across heterogeneous platforms without floating-point arithmetic, training, dynamic allocation, or per-stream model state. Under a common pinned frame and the declared lossless coarse capacity, participating devices or streams can be correlated by exact tuple equality, while a graded comparison ladder supports finer similarity evaluation. The technique explicitly identifies capacity limits, collision regimes, frame-compatibility requirements, reverse quantization bounds, …


Theta-Xd: Integer-Only Direction Change And Slow-Drift Detection In Multivariate Telemetry Streams, Nenad Micic Sep 2026

Theta-Xd: Integer-Only Direction Change And Slow-Drift Detection In Multivariate Telemetry Streams, Nenad Micic

Defensive Publications Series

A system is proposed herein for detecting sudden turns, changes in turning behavior, and slow drift in the joint movement of multivariate telemetry counters. The system uses an overflow-bounded integer direction metric and an exact division-free threshold gate, requires work linear in the number of counters and fixed-size per-stream state, and produces exactly reproducible results without floating-point arithmetic or model training. Optional discrete direction keys support compact grouping, and peer-relative integer classification identifies outliers among comparable elements. The resulting signals can be generated close to the telemetry source, where independent per-counter thresholds may miss coordinated changes.


Designing High-Resilience Hybrid Metamaterials: A Systems Engineering Specification For Elemental Hybridization, Solitonic Stabilization, And Non-Destructive Process Verification In Artificial Crystal Lattices, Christopher L. Eckes Sep 2026

Designing High-Resilience Hybrid Metamaterials: A Systems Engineering Specification For Elemental Hybridization, Solitonic Stabilization, And Non-Destructive Process Verification In Artificial Crystal Lattices, Christopher L. Eckes

Defensive Publications Series

Traditional artificial crystal lattices grown via high-mass commercial methods exhibit acute failure modes under extreme operational environments. These loops manifest as high-frequency acoustic micro-cracking along crystal grain boundaries during cyclic load profiles, or structural delamination driven by thermal expansion differentials across thin-film interfaces.

This specification introduces a formalized systems engineering framework for the elemental hybridization of lab-grown crystal substrates—specifically Thin-Film Lithium Niobate (LiNbO₃) and 3D Self-Assembled Inverse Opal Lattices. By strategically infiltrating these substrates with low-weight-fraction Graphene Oxide (GO) nanosheets and Boron Nitride Nano-Tubes (BNNTs), we create hybrid, non-linear metamaterials that isolate, dampen, and redirect destructive kinetic and thermal wave …


Reconfiguring Distribution Networks Using The Aco+Tnc Algorithm, Specifying The Location, Size, And Number Of Added Renewable Energy Sources, Mohammed Falah Hasan, Rana Ali Abttan Sep 2026

Reconfiguring Distribution Networks Using The Aco+Tnc Algorithm, Specifying The Location, Size, And Number Of Added Renewable Energy Sources, Mohammed Falah Hasan, Rana Ali Abttan

Engineering and Technology Journal

Distribution networks face increasing pressure from rising loads and renewable energy integration, making the simultaneous optimization of reconfiguration and distributed generation placement a critical engineering challenge, and conventional single-objective methods are insufficient for simultaneously addressing power losses, voltage profile degradation, and the structural constraints of radial networks. This paper proposes a hybrid framework that combines Ant Colony Optimization with the Truncated Newton Constrained method to jointly solve network reconfiguration alongside the optimal placement, sizing, and type selection of renewable distributed generation—both solar PV and wind—within a single unified model. The approach relies on a four-part weighted objective function covering active …


Fast Discovery Of Motivic Patterns In Symbolic Music Via Lossy Compression, Adam James Wilson Sep 2026

Fast Discovery Of Motivic Patterns In Symbolic Music Via Lossy Compression, Adam James Wilson

Publications and Research

Generative systems that react to live musicians require rapid analysis of musical data, which rules out deep learning models: they cannot be trained within the time constraints of live performance. But because analysis results are often transformed before use, we are free to reduce the parameters that undergo transformation to a small set of primitive states. We address this coincidence of constraint and opportunity with an algorithm for online discovery of maximal musical motives that achieves speed through lossy compression: the pitch and inter-onset-interval deltas for all pairs of events in a potential motive are reduced to two-bit values, conceptualized …


Educational Policies Committee Agenda September 3, 2026, Utah State University Sep 2026

Educational Policies Committee Agenda September 3, 2026, Utah State University

Educational Policies Committee

  • Approval of Minutes
  • Subcommittee Reports
  • Curriculum Subcommittee
  • Academic Standards Subcommittee
  • General Education Subcommittee
  • Center for Civic Excellence
  • Other Business
  • Adjourn: 4:00 pm


Curriculum Subcommittee Agenda September 3, 2026, Utah State University Sep 2026

Curriculum Subcommittee Agenda September 3, 2026, Utah State University

Educational Policies Committee

  • Approval of Minutes
  • R401 - Program Proposals
  • Semester Course Approval Review
  • Other Business
  • Adjourn: 3:00 pm


Archival Encounters Across The Disciplines: Using Primary Sources In The Classroom, Karen Morse Sep 2026

Archival Encounters Across The Disciplines: Using Primary Sources In The Classroom, Karen Morse

Faculty Learning Day 2026

Incorporating primary source activities into class sessions can (re)invigorate the classroom while supporting course learning outcomes and critical thinking.  This session will highlight activities and assignments successfully deployed in diverse URI courses.  Encouraging a DIY approach, it will also include an overview of the tools available to assist instructors with classroom integration (including sources of preexisting lessons) as well as guidance on how and where to find the perfect primary source for your class. Resources provided.


2026 September 3 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University Sep 2026

2026 September 3 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.


Visual Arts Teachers’ Perception Of Integrating Visual Arts To Help With Student Core Content Achievement, Amanda Munoz Sep 2026

Visual Arts Teachers’ Perception Of Integrating Visual Arts To Help With Student Core Content Achievement, Amanda Munoz

Walden Dissertations and Doctoral Studies

The problem addressed in this study was that local school districts in Texas do not offer a visual arts-integrated curriculum despite the known academic and social-emotional benefits for K–12 students. The purpose of this basic qualitative study was to explore the perceptions of Texas K–12 visual arts teachers regarding arts integration to enhance core content learning. Grounded in Gardner’s multiple intelligences theory, the research questions focused on teachers' perceptions of arts integration and their recommendations for implementation. Data were collected through semistructured interviews with 10 K–12 visual arts teachers in Texas who had at least 1 year of teaching experience. …


When Winning Got More Than Gold: Hope's Glory Days; How Hope College Built Its Physics Program, Mackenzie Niswonger, Ryan Mccreedy Sep 2026

When Winning Got More Than Gold: Hope's Glory Days; How Hope College Built Its Physics Program, Mackenzie Niswonger, Ryan Mccreedy

Archives and Special Collections Quarterly

When Winning Got More Than Gold: Hope's Glory Days

Column: From the Director of Archives and Special Collections

How Hope College Built Its Physics Program


Artificial Intelligence Models For Automated And Semiautomated Analysis And Interpretation Of Clinical Electroencephalography, Sándor Beniczky, Birgit Frauscher, Fábio Nascimento, Shobi Sivathamboo, Catalina Rojas, Michael Sperling, Samden Lhatoo, Philippe Ryvlin, Levin Kuhlmann Sep 2026

Artificial Intelligence Models For Automated And Semiautomated Analysis And Interpretation Of Clinical Electroencephalography, Sándor Beniczky, Birgit Frauscher, Fábio Nascimento, Shobi Sivathamboo, Catalina Rojas, Michael Sperling, Samden Lhatoo, Philippe Ryvlin, Levin Kuhlmann

Department of Neurology Faculty Papers

Electroencephalography is the most commonly used diagnostic tool for epilepsy. However, interpreting electroencephalograms (EEGs) requires expertise that is not widely available. Advances in digital technology and wearables have enabled large-scale EEG recording, generating vast amounts of data that cannot be managed through traditional visual interpretation by experts. Artificial intelligence (AI) has the potential to augment human expertise and reduce workloads. The application of artificial neural networks in analysing clinical EEG recordings has led to major breakthroughs, bringing AI-based EEG interpretation closer to clinical implementation. In this Review, we summarise the most important research and development results in this field from …


Learning-Based Entanglement Generation For Quantum Routing, Tasdiqul Islam, Rasman Mubtasim Swargo, Md Arifuzzaman Sep 2026

Learning-Based Entanglement Generation For Quantum Routing, Tasdiqul Islam, Rasman Mubtasim Swargo, Md Arifuzzaman

Computer Science Faculty Research & Creative Works

Entanglement generation in long-distance quantum networks is challenging because resources are limited and entanglement swapping is probabilistic. To maximize the rate of successful requests, existing quantum routing algorithms often rely on computationally expensive methods such as Integer Linear Programming (ILP) to determine which links to entangle and use for end-To-end entanglement generation. However, these approaches fail to meet the latency requirements of real-world quantum networks. In this study, we propose a Reinforcement Learning (RL)-based model that determines which links to entangle in each time slot, replacing the slow ILP-based link-selection phase used in prior algorithms. The proposed Deep Q-learning model …


Edge Computing-Enabled Secure Federated Learning For Anomaly Detection In Industrial Iot Sensor Streams, Wijdan Noaman Marzoog Al Mukhtar Sep 2026

Edge Computing-Enabled Secure Federated Learning For Anomaly Detection In Industrial Iot Sensor Streams, Wijdan Noaman Marzoog Al Mukhtar

AUIQ Technical Engineering Science

The rise of the Industrial IoT (IIoT) will result in a surge of IIoT devices with high-velocity data streams requiring rapid, real-time analysis of these data streams to power predictive maintenance and assure cybersecurity. Centralized cloud-based approaches to anomaly detection are hindered by their inherent latency and privacy issues while independent or stand-alone approaches to edge-based anomaly detection do not have enough data to effectively detect anomalies. This paper presents a federated learning framework to collaboratively develop an anomaly detection model from multiple edge nodes, without sharing the raw sensor data, so that data sovereignty is preserved. Two major contributions …


Microwave Thermal Pre-Treatment To Improve Nickel Extraction From Lateritic Ore, Johana Borda, Daniel Sosa, Robinson Torres Sep 2026

Microwave Thermal Pre-Treatment To Improve Nickel Extraction From Lateritic Ore, Johana Borda, Daniel Sosa, Robinson Torres

Journal of Sustainable Mining

Two heat treatment processes for a nickeliferous laterite sample are presented, one by the conventional muffle route and the other by microwave. The heating was carried out in order to improve the dissolution of nickel in an acid medium. The study describes the changes observed in the mineral for the increase in temperature as a consequence of radiation in the microwave and in the muffle. The changes in the mineral crystalline phases were analyzed by X-ray diffraction. The leaching media consisted of a 1 M sulfuric acid solution at ambient conditions for 7 h. The interaction between the reagent and …


On The Existence, Uniqueness And Stability Of Solutions Of Sdes With State-Dependent Variable Exponent, Mustafa Avci Sep 2026

On The Existence, Uniqueness And Stability Of Solutions Of Sdes With State-Dependent Variable Exponent, Mustafa Avci

Journal of Stochastic Analysis

We study a time-inhomogeneous nonlinear SDE with drift and diffusion governed by state-dependent variable exponents. This framework generalizes models like the geometric Brownian motion (GBM) and the constant elasticity of variance (CEV), offering flexibility to capture complex dynamics while posing analytical challenges. Using a fixed-point approach, we prove existence and uniqueness, analyze higher-order moments, derive asymptotic estimates, and assess stability. Finally, we illustrate an application where Poisson’s equation admits a probabilistic representation via a timehomogeneous nonlinear SDE with state-dependent variable exponents.


Companion Matrices Associated To Stochastic Matrices, Andreas Boukas, Philip Feinsilver Sep 2026

Companion Matrices Associated To Stochastic Matrices, Andreas Boukas, Philip Feinsilver

Journal of Stochastic Analysis

Starting with a stochastic matrix, we study the behavior of powers of an associated companion matrix, which has the same characteristic polynomial as the original matrix. In general the companion matrix will have negative entries while maintaining rowsums equal to 1. We will find the growth rate even if the Ces`aro limit of the sums of the companion matrix diverge. Surprisingly, in the irreducible aperiodic case the powers of the companion matrix will converge even though the norm of the matrix exceeds 1 and it has possibly negative entries.


Z+-Valued Additive Processes In Law With Nonnegative Increments, Nadjib Bouzar Sep 2026

Z+-Valued Additive Processes In Law With Nonnegative Increments, Nadjib Bouzar

Journal of Stochastic Analysis

The goal of this article is to study in depth the subclass of Z+- valued additive processes in law with nonnegative increments. We establish key distributional properties of these processes and obtain some existence results under a variety of conditions. We show that they form a subclass of the family of inhomogeneous Markov chains with spatial homogeneity. We extend the notion of factoring introduced by Sato (2004, [9]) for Rd-valued additive processes in law to their Z+-valued counterparts with nonnegative increments. We give a sufficient condition for the existence of a factoring for these processes. Lastly, we obtain their representation …


School Principals’ Perspectives Regarding Successful Professional Development, Kathryn L. Bauserman, Diana Quatroche, Linda E. Martin Sep 2026

School Principals’ Perspectives Regarding Successful Professional Development, Kathryn L. Bauserman, Diana Quatroche, Linda E. Martin

Journal of Educational Research and Practice

This descriptive study examined K–12 principals’ perspectives on providing and supporting school‑based professional development in one Midwestern state. Survey responses from 300 principals explored how they defined successful professional development, how they determined teacher learning needs, and the challenges they encountered. Findings revealed that principals valued professional development aligned with instructional improvement, yet many relied on their control of decision‑making processes. Professional development was commonly delivered by school or district personnel, funded through limited local and state resources, and typically offered in short sessions. Principals identified success through surveys, observations, and student achievement data while noting challenges related to funding, …


Designing Smart Charity: A Tri-Tiered Systems Engineering Framework For Global Capital Allocation, Christopher L. Eckes Sep 2026

Designing Smart Charity: A Tri-Tiered Systems Engineering Framework For Global Capital Allocation, Christopher L. Eckes

Defensive Publications Series

Traditional philanthropic capital allocation models consistently exhibit binary systemic failure modes: low-velocity palliative aid loops that induce sovereign moral hazards, or hyper-insulated frontier engineering moonshots that leave present-day socio-economic baselines highly vulnerable to exogenous shocks. This specification introduces the Tri-Tiered Systems Engineering Framework for Philanthropy, an objective, non-weaponizable technical model that treats charitable giving as an essential infrastructure risk-management protocol rather than a speculative moral luxury.

By segmenting capital allocation into three distinct, non-interchangeable tiers—Palliative Stabilization (Tier 1), Environmental Upgrades (Tier 2), and Frontier Innovation (Tier 3)—this architecture models global civilizational utility as a complex physical system. We leverage historical …


Reinterpreting The Lux-Zeplin High-Energy Nuclear Recoil Anomaly: Localized Boundary Strain And Substrate Pushback Dynamics As An Alternative To Heavy Inelastic Wimps, Christopher L. Eckes Sep 2026

Reinterpreting The Lux-Zeplin High-Energy Nuclear Recoil Anomaly: Localized Boundary Strain And Substrate Pushback Dynamics As An Alternative To Heavy Inelastic Wimps, Christopher L. Eckes

Defensive Publications Series

Abstract

On September 1, 2026, the LUX-ZEPLIN (LZ) collaboration reported a single, highly unexpected high-energy nuclear recoil event within an extended energy window up to ~270 keV, exhibiting a 2.6-sigma significance level (0.5% background probability). While mainstream interpretations attribute this June 16, 2023 event to an ultra-heavy inelastic Weakly Interacting Massive Particle (WIMP) exceeding \(200 \text{ GeV/c}^2\), this paper presents a rigorous mathematical alternative grounded in the Dimensionally Extended Holographic Cosmology (DEHP) framework. We demonstrate that this singular interaction can be perfectly modeled without exogenous dark matter particles. By treating the local vacuum as an incompressible fluid substrate bounded by …


Remote Display Spatial Pointing Using Processed Inertial Sensor Data From A Mobile Device, Chien-Feng Yu, Pei-Yu Chen, Eusden Lin, Shang Wei Lin, Dewita Sonya Sep 2026

Remote Display Spatial Pointing Using Processed Inertial Sensor Data From A Mobile Device, Chien-Feng Yu, Pei-Yu Chen, Eusden Lin, Shang Wei Lin, Dewita Sonya

Defensive Publications Series

A mobile computing device (e.g., a smartphone, smart watch, wearable device, augmented reality glasses, etc.) may function as a spatial pointer for a remote display by processing data from an on-board inertial measurement unit. An on-device spatial engine can translate the device's physical orientation and movement into two-dimensional screen coordinates. This translation process may, for example, involve techniques such as isotropic aspect ratio correction and a dynamic motion amplification layer that adjusts sensitivity based on angular velocity. The processed coordinates can then be streamed to the remote display over a low-latency network protocol. This approach may provide improved cursor control …


Macroscopic Momentum-Space Tomography: Utilizing High-Z Cryogenic Target Arrays As Resonant Phase-Retrieval Lenses For Substrate Interferometry, Christopher L. Eckes Sep 2026

Macroscopic Momentum-Space Tomography: Utilizing High-Z Cryogenic Target Arrays As Resonant Phase-Retrieval Lenses For Substrate Interferometry, Christopher L. Eckes

Defensive Publications Series

This paper introduces a formal engineering architecture to transition the Dimensionally Extended Holographic Projection (DEHP) model from numerical simulation to empirical instrumentation. Integrating the spatial phase-retrieval mechanics of 3D Photoemission Orbital Tomography (3D-POT) with the high-density containment engineering of deep-underground liquid xenon detectors, we outline a method for a macroscopic momentum-space microscope. Rather than treating the September 1, 2026 LUX-ZEPLIN 248 keV anomaly as an exogenous particle collision, we demonstrate that a high-Z condensed target array can function as an active, resonant phase-retrieval lens. We provide the complete mathematical tensor frameworks, specific material specifications, and structural engineering steps required to …