Digital Commons Network^™

Base Maps And Other Source Files For: A Database Of Reliability-Targeted Snow Loads For The United States, Nicholas Brimhall, Cameron Swapp, Brennan Bean

Browse all Datasets

This data release provides the supporting data and files to create a database of 10,625 site-specific Reliability-Targeted Snow Loads (RTSLs) for locations in the Conterminous United States and Alaska (see Brimhall et al. (2026)). RTSLs are the design snow load requirements necessary to achieve the reliability targets set forth in Chapter 1 of the ASCE 7 Standard, which is the national standard that largely governs hazards-based design in the United States. The data and methods used in this data release are based upon the methods described in Bean et al. (2021), with updated data and refined methodology as applicable.

Experimental Investigation Of Factors Affecting Natural Magnetite Wettability: Implications For Geological Hydrogen Generation And Storage, Kaveh Moghanirahimi, Lionel Esteban, Valeriya Shulakova, Stefan Iglauer, Alireza Keshavarz

Research outputs 2022 to 2026

Natural magnetite in Banded Iron Formations (BIFs) is attracting interest as a hydrothermal H2-generating medium and a potential caprock for subsurface hydrogen storage because of its low permeability. However, its wettability under reservoir conditions remains poorly understood. In this study, the wettability of natural and organically aged magnetite was evaluated using the tilted plate contact angle method at 1–100 bar and 25–65 °C with deionized water and 5 and 10 wt% NaCl brines as droplet fluids. The results showed that magnetite remained water-wet throughout the tested conditions. Higher pressure shifted the system toward less water-wet behaviour, whereas increasing temperature enhanced …

Two-Stage Routing Of Power And Ground Nets In An Integrated Circuit Using Reinforcement Learning And Integer Linear Programming, Prateek Pendyala

Defensive Publications Series

Custom routing of power and ground nets in an integrated circuit remains a manual task, in that a layout engineer must balance irregular blockages, electromigration (EM) limits, and voltage drop (IR drop) budgets at the same time.  To address these competing pressures, a two-stage routing method divides that work between a learned global search and an exact local refinement.  In a first stage of the method, a reinforcement learning (RL) agent explores a coarse routing grid and proposes a trial route together with an approximate wire width for each segment.  In a second stage of the method, an integer linear …

The Evolution Characteristics Of Gas Pressure Around Coal Seam Directional Long Extraction Boreholes With Nonlinear Extraction Negative Pressure, Zhang Qi, Jia Jinlong, Li Zhiguo, Zhang Longgang, Qin Zhengyuan, Zhang Weizhong, Li Jin

Journal of Sustainable Mining

Nonlinear pressure of coal seam gas in the directional borehole and surrounding areas affects extraction efficiency. A multi-field coupling numerical model, including gas desorption, diffusion, fracture seepage, and borehole extraction, is developed for the No. 3 coal seam of the GJH mine. Using the numerical simulation method of control variables, extraction was developed to investigate the nonlinear evolution of axial pressure gradients in directional long borehole and the spatiotemporal response characteristics of gas pressure. Results show that coal seam seepage pressure exhibits a nonlinear radial gradient attenuation around the borehole, evolving through rapid pressure change, stabilization, and slow adjustment. The …

Policy Discourse On A Three-Term Presidency Ahead Of The 2024 Elections: A Narrative Policy Framework Analysis, Ahmad Syukri, Ridho Al-Hamdi

Jurnal Politik

This study examines competing narratives surrounding the proposal to extend the presidential term limit to three terms in the period leading up to the 2024 General Election, using the Narrative Policy Framework (NPF). The study employed a qualitative case study design based on 136 news articles published by five national online media outlets between January 2022 and April 2024. The unit of analysis was direct quotations from policy actors that addressed the three-term presidential discourse. Data were analyzed using NVivo 12 Plus through deductive and inductive coding based on four NPF elements: setting, characters, plot, and the moral of the …

Ravenswood Hospital Annual Report, 1926, Advocate Health - Midwest

Historical Documents - Combined

Ravenswood Hospital, Chicago, IL: 1926 Annual report for Ravenswood Hospital. Includes photos, hospital and school of nursing statistics, expenditures and treasurers report, list of hospital staff.

Ravenswood Hospital Annual Report, 1924, Advocate Health - Midwest

Historical Documents - Combined

Ravenswood Hospital, Chicago, IL: 1924 Annual report for Ravenswood Hospital. Includes photos, hospital and school of nursing statistics, expenditures and treasurers report, list of hospital staff.

The Raven 1951, Advocate Health - Midwest

Historical Documents - Combined

Ravenswood Hospital, Chicago, IL: Published by and for the Ravenswood Hospital Nurses Alumnae Association. Includes hospital news and alumnae doings, a nurse and doctor directory, births, marriages, obituaries.

Catalytic Integrated Molten-Salt Fast Reactor & Fuel Recovery System (Cimfr-1.0) —, Michael Victor Caldwell Mr.

Defensive Publications Series

CIMFR-1.0 is a self-contained, open-hardware chemical processing unit that converts clean, post-consumer polyolefin plastics (Polyethylene [PE] and Polypropylene [PP]) into drop-in industrial fuels: C5-C12 gasoline-cut hydrocarbons (target: 91+ RON) and low-sulfur off-road diesel (target: <15 ppm sulfur).

The system uses a two-stage thermal/catalytic pathway grounded in published research from Oak Ridge National Laboratory (ORNL), which demonstrated that AlCl3-containing molten salts convert polyolefins into gasoline-range branched C6-C12 alkanes at temperatures below 170°C via Lewis-acid carbenium ion chemistry — without noble metal catalysts or an external hydrogen source. This is not standard thermal pyrolysis (450°C-600°C). It is low-temperature catalytic depolymerization followed by vapor-phase zeolite upgrading. …

The Unified System Resampling Manifold: Bridging September 2026 Experimental Crises Via Substrate Phase Residue And Conformal Extension Loops, Christopher L. Eckes

Defensive Publications Series

This paper formalizes Paper 155 to construct a rigorous cross-disciplinary bridge between five discrete breakthrough vectors observed in early September 2026: (1) the massive multi-agent AI swarm mapping of the Navier-Stokes smooth existence problem, (2) macroscopic quantum gravity atomic superposition measurements, (3) sub-Landauer limit magnetic memory switching states, (4) synthetic protein self-assembly on van der Waals substrates, and (5) the direct experimental confirmation of the atomic Migdal Effect. Rather than treating these milestones as disconnected successes of competing models, we deploy the Dimensionally Extended Holographic Projection (DEHP) model to show they are parallel observable consequences of a single underlying architecture: …

Resolution Of The Grb 221009a Anomaly Via Conformal Metric-Shift Mechanics, Continuous Vacuum Strain, And High-Frequency Surface Acoustic Streaming Boundary Layer Modulation, Christopher L. Eckes

Defensive Publications Series

This paper formalizes Paper 154 within the Unified Cosmological Substrate Equations (UCSE) and Dimensionally Extended Holographic Projection (DEHP) frameworks to resolve the dual anomalies of the 300-TeV photon detected from gamma-ray burst GRB 221009A. Standard 3D physics requires ad-hoc, untestable additions—such as axion-like particles (ALPs) and Lorentz Invariance Violation (LIV)—to account for why this extreme energy packet survived a 2-billion-light-year transit through intergalactic starlight and arrived one hour later than its lower-energy counterparts.

By stripping away modern academic tribalism and separating the foundational 2D phase fluid substrate (z=0) from emergent 3D geometric projections (z>0), we prove that the 300-TeV …

Componentized Multi-Modal Presentation Generation With Coordinated Text, Image, And Audio Pipeline Orchestration, Rafael Nepomuceno, Martin Therese

Defensive Publications Series

Existing artificial intelligence (AI) presentation generation tools produce static, monolithic outputs that lack post-generation editability, forcing complete regeneration for minor modifications. Additionally, raw generative AI application programming interfaces (APIs) impose strict rate limits and require complex backend orchestration to coordinate text, image, and audio synthesis at scale. The disclosed technology provides a componentized multi-modal presentation generation platform that produces editable presentation bundles comprising structured text layouts, context-aware AI-generated imagery, and synchronized text-to-speech narration. The platform employs a coordinated pipeline with task queues and automatic retry mechanisms to manage API rate limits. Each presentation element remains decoupled and independently editable at …

The Agentic Framework For Iterative Pose And Semantic Correction In Virtual Try-On, Bhushan Garware, Darshan Barapatre, Anibha Athalye

Defensive Publications Series

Virtual try-on (VTO) systems using generative models can be a challenge. To address this, an agentic framework can evaluate and correct errors in generated VTO images. The framework may operate as an iterative feedback loop, where a multimodal evaluation module can analyze an image for pose and semantic discrepancies. Based on the analysis, a routing system can direct the task to a targeted corrective pathway, such as a full structural regeneration or a localized semantic repair, guided by a dynamic prompt engine. This iterative process of evaluation and targeted correction may continue until a set of criteria is met, providing …

Host‑To‑Fabric Context Switching Through Sideband Signaling And Wave‑Propagated Reconfiguration Of A Coarse‑Grained Reconfigurable Array, Jonathon Murphy

Defensive Publications Series

Reconfiguring a hardware accelerator through an operating system (OS) commonly costs microseconds, because kernel drivers, thread scheduling, and register‑level writes sit between the requesting program and the hardware.  This disclosure describes a system in which a compiler backend embeds routing configurations in a metadata segment of an executable and an OS‑bypass bootstrapper maps those configurations and a doorbell into user space.  A sideband control plane then carries a switch trigger to a reconfigurable co‑processor without a system call or an interrupt.  Shadow configuration planes, resident at each routing node ahead of use, enable a context switch to travel across the …

Routing Congestion Mitigation Via Hotspot Root Cause Classification And Timing-Aware Engineering Change Orders In A Reinforcement Learning Loop, Kishore R

Defensive Publications Series

Physical design flows for a system on a chip (SoC) commonly resolve routing congestion with uniform placement or routing blockages.  Such blockages can waste floorplan area and degrade timing on paths holding no spare slack.  This publication presents a congestion mitigation method that resolves each congestion hotspot into one of three physical root causes and generates an engineering change order (ECO) matched to the cause found.  A slack test protects timing, so a net with negative slack keeps a direct route while a clock latency adjustment borrows margin from a neighboring pipeline stage.  Generated directives compile into a variable file …

Tab-Level Access Control And Atomic Extraction Architecture For Multi-Tab Cloud Documents, Richa Gupta

Defensive Publications Series

The present disclosure relates to access control and data extraction within multi-tab cloudbased document platforms. Existing platforms enforce file-level permissions in an all-or-nothing manner, granting collaborators access to every tab within a document. Extracting individual tabs requires manual copy-paste operations into separate documents. The disclosed architecture introduces tab-level virtual sandboxing that selectively renders authorized tabs while masking unauthorized tab nodes from a user's viewport and client-side document object model. A tab copyextraction feature parses and clones tab content into a new, editable cloud document while preserving the original tab. An atomic extract-and-purge operation transactionally clones a selected tab to a …

Automated Clock Sink Load Balancing Across Multi-Tap H-Tree Regions Via Adaptive Block Coordinate Descent, Kishore R

Defensive Publications Series

Clock tree synthesis for a system on a chip can distribute a clock signal through an H-tree that feeds several tap regions.  Balanced timing calls for each rectilinear clock region to carry a comparable share of a load product formed from total distance and sink capacitance.  Reaching that balance over a non-binary grid has historically consumed hours of manual trial and error, in part because live queries against a physical design database respond slowly.  To address these limitations disclosed is a method that caches sink coordinates and capacitance values in memory, anchors a two-by-two base grid, and injects supplemental boundary …

A Knowledge Graph And Machine Learning Framework For Relationship-Aware Risk Intelligence In Enterprise Networks, Akash Dhure

Defensive Publications Series

A knowledge graph and graph neural network framework is proposed herein to replace flat, entity-by-entity infrastructure risk reports with a relationship-aware view of how risk emerges across configuration, software, hardware, topology, and other operational dimensions. The framework preserves relationship types during representation learning, so that risk arising through an entity's relationships is distinguished from risk recorded on the entity itself. The learned representations are composed into a prioritized remediation ordering, and a language model translates the resulting findings into clear, operator-readable narratives bounded to the supplied facts. The result is a repeatable, scalable, and explainable workflow that surfaces at-risk entity …

I'M Too Lazy To Come Up With A Good Title: How The Internet Makes Your Brain Lazy, Anonymous ,

Undercurrents: A Journal of Undergraduate Student Composition

This anonymous student writer is a Computer Science major and a Massachusetts resident who describes himself as “interested in everything but passionate about nothing” — except not divulging any personal information. He presently spends his days secluded, enjoying living his ideal lifestyle enshrouded “in the devastating abomination that we all know to be the Internet.” He wrote this paper for a Composition II research assignment in order to rationalize a “terrible memory.” He is currently “overcoming(?) perfectionism after a long 4-year battle.”

“And When We Wished We Would Drive Away The Night”: Preventing The Disneyfication Of Aglarond, Kristine Larsen

Journal of Tolkien Research

It is well-known that two trips to the Cheddar Gorge Caves formed the basis for the “Glittering Caves of Aglarond” found in Helm’s Deep and described in The Two Towers. Tolkien explained a 1971 letter how that “the passage was based on the caves in Cheddar Gorge and was written just after I had revisited these in 1940 but was still coloured by my memory of them much earlier before they became so commercialized. I had been there during my honeymoon nearly thirty years before.” In April 1940, the Tolkiens and their three youngest children took an extended holiday …

King Faisal University's Personal Data Protection Framework: An Analysis Of Saudi Regulatory Guidelines, Mohammed Ali Alghamdi

Scientific Journal of King Faisal University: Humanities and Management Sciences

Saudi Arabia's Personal Data Protection Law (PDPL) and its Implementing Regulation impose binding duties on controllers, including public universities that process extensive personal and sensitive information. This study examines King Faisal University's (KFU) published privacy policy to determine the extent to which it reflects the mandatory provisions of the PDPL and the regulatory orientations issued by the Saudi Data and Artificial Intelligence Authority (SDAIA). The study adopts a doctrinal legal method combined with qualitative content analysis and a gap assessment. It evaluates the policy's treatment of collection purposes, legal bases, data-subject rights, complaint channels, governance responsibilities, impact assessment, breach notification, …

Shorthorn Front Page Vol.25 No.1

Kenneth L. Whitt Papers

Front page of the Shorthorn Vol.25 No.1.

Shorthorn Front Page Vol.22 No.1

Kenneth L. Whitt Papers

Front page of the Shorthorn Vol.22 No.1.

Parametric Study On The Plastic Hinge Length Of Precast Concrete Columns With Grouted Sleeve Connections, Rizky Tri Amalia, Harun Alrasyid

Journal of Sustainable Construction Materials and Technologies

The use of precast concrete structures with grouted sleeve (GS) connections has gained significant traction in the acceleration of bridge construction. The plastic hinge length (Lp) is a critical parameter for assessing the seismic performance and deformation capacity of such structural members. The previous study has proposed empirical equations for Lp in monolithic columns; however, a comprehensive understanding of the influential parameters on Lp in precast concrete columns with GS connections remains limited. This study presents a detailed parametric investigation to evaluate the effects of key design parameters on the plastic hinge length of a precast concrete columns with GS …

Dynamic And Statistical Analysis Of A Three-Phase Induction Motor Under Stator Resistance And Rotor Inertia Variations Using Matlab/Simulink, Ayodeji Joseph Akinremi, Ignatius Kema Okakwu, Ayodeji Akinsoji Okubanjo

Engineering and Technology Journal

Three-phase induction motors are widely used in industrial applications, and they are the backbone and driving force of modern manufacturing and production lines, owing to their robustness, reliability, and low maintenance requirements. However, variations in machine parameters such as electrical or mechanical parameters caused by thermal effects, machine lifespan or tolerances, operational conditions, or aging could significantly affect dynamic performance. This study examined the effects of varying stator resistance and rotor inertia using dynamic and statistical investigation of a three-phase induction motor in MATLAB/Simulink, analysed in the stationary reference frame. The dynamic performance was evaluated based on peak starting current, …

Characterization Of Natural And Synthetic Fiber-Reinforced Composites For Sport Prosthetic Feet Applications, Daniah F. Abbas, Jawad K. Oleiwi, Qahtan A. Hamad

Engineering and Technology Journal

Sports prosthetic feet reinforced with natural and synthetic fibers offer a promising solution for developing lightweight, cost-effective, and sustainable biomedical components. In this study, epoxy-based composite laminates reinforced with Hemp, Sisal, and Bamboo fibers were fabricated for potential sports prosthetic foot applications. Different reinforcement configurations (3, 6, 9, and 12 plies) were investigated, while hybrid laminates were produced by incorporating three carbon fiber layers to enhance overall performance. The fabricated composites were evaluated in terms of density, water absorption, fiber volume fraction, hardness, and microstructural characteristics using scanning electron microscopy (SEM).
The results demonstrated that increasing the number of reinforcement …

Experimental Investigation Of Seismic Bending Moment Amplification In Pile Groups Embedded In Layered Clay, Hind Nadhum Al Salami, Saad F. A. Al-Wakil, Ahmed Majeed Ali

Engineering and Technology Journal

This study experimentally investigates the seismic bending-moment response of a five-pile group embedded in layered cohesive soil comprising soft clay overlying stiff clay. A series of 1-g shaking-table tests was conducted using a 0.8 × 0.6 × 0.84 m laminar shear box and a 1:50-scale physical model to examine the effects of seismic intensity, pile spacing, pile position, and soil condition. Two excitation levels (0.10g and 0.47g), two pile spacings (3D and 5D), and homogeneous and layered clay profiles were investigated. The results showed that increasing the excitation intensity generally increased the bending-moment response, with the magnitude of the increase …

From Data To Decision-Making: The Role Of Local Digital Twins In Cross-Domain Management Within Municipalities – A Research-In-Progress Study In Veenendaal, Diana M.E. Boekman, Koen Smit, Guido Ongena, Rob Peters

Communications of the IIMA

Municipalities are facing increasingly complex, interconnected challenges in areas like housing, climate adaptation, mobility, and social policy. Local Digital Twins (LDTs) are seen as a promising tool to make this complexity more understandable and support decision-making. At the same time, both literature and practice show that few initiatives get past the pilot phase, even though getting through that phase is essential for successful long-term adoption.

This paper presents a research-in-progress study on the development and application of an implementation method for LDT technology within the municipality of Veenendaal, based on human values rather than driven by technological possibilities. Based on …

Progress Without Consent: Ai Deployment And The Democratic Legitimacy Gap, Engin Obucic, Ekrem Nurovic, Mersid Poturak

Communications of the IIMA

Drawing upon critical and technology studies, this conceptual provocation introduces the concept of “Progress without Consent”, referring to the introduction of AI technological innovation into society without collective societal deliberation, legitimacy and consent. The paper problematises the introduction of structurally transformative AI technology into society, the strategy of depolitisation of this technology, robotic automation of society without social mandate, and the manner in which technological innovation moves faster than democratic institutions can process its implications on societal structures. Ultimately, the authors argue, the development and deployment of AI does not belong to isolated labs and the private sphere of technological …

Designing Classifact: Towards A Transparent And Secure Platform For Stakeholder-In-The-Loop Data Annotation, Philippine Waisvisz

Communications of the IIMA

AI systems depend on human judgment, yet many annotation workflows are either designed for data-science specialists or managed through external commercial platforms. The first approach may demand more technical skills than relevant stakeholders possess. The second can require organizations to transfer data, expertise, and governance to an outside provider. Both can limit the involvement of people who understand what data means in its real-world context. Human-in-the-loop approaches introduce human judgment. Stakeholder-in-the-loop annotation focuses on selecting and organizing people whose contextual knowledge fits the AI application.

This paper presents Classifact, a transparent and secure platform for stakeholder-in-the-loop data annotation and validation. …