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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 …