Digital Commons Network^™

Aid And Assist Cases In Multnomah County: An Exploration Of Ors 161.370, Savannah Jurasek

Dissertations and Theses

Individuals with severe mental illness (SMI) are highly overrepresented in jails. In Oregon, these individuals can be eligible for what is referred to as the aid and assist process (ORS 161.370) which is designed to facilitate restorative care in efforts to ensure that vulnerable individuals can rationally participate in their criminal proceedings. However, continuous escalation in aid and assist orders (109.3% between 2011-2025) has led to strain on the Oregon State Hospital, the primary care facility for this population. As a consequence, defendants with SMI are spending unnecessary time in custody, despite hospitalization admission guidelines governed by previously decided case …

The Intersection Between Mindfulness And Cybersecurity: A Tool To Reduce Burnout And Improve Operational Effectiveness, Ivo Ricardo Dias Rosa

Journal of Cybersecurity Education, Research and Practice

Abstract: This paper offers a conceptual discussion of how mindfulness, understood as present moment awareness and deliberate attention regulation, can support cybersecurity professionals. Drawing on a narrative synthesis of workplace mindfulness, burnout, and high pressure decision making literature, we map plausible self regulation mechanisms to typical cyber defense tasks. Rather than presenting new empirical data, we develop an explanatory framework linking attention, reactivity, and recovery to decision quality, team communication, and adherence to incident playbooks. We focus on two connected outcomes: reducing burnout in roles with sustained cognitive and emotional demands, and improving operational effectiveness during critical situations such as …

Predicting Cybermindfulness With The Cyber-Health Belief Model, James Robinson, Yan Tian, Thomas Skill

Journal of Cybersecurity Education, Research and Practice

This study describes the development of a Cyber-Health Belief Model (CHBM). The health belief model (HBM) is a message strategy that is widely and successfully used in public health research [1] and has been extended into phish training. Most phish training programs assume  end users are victimized because they have insufficient information to defend themselves. While near-term training effectiveness has shown to be effective, evidence for sustained behavioral change is thin [4]-[7].  This problem indicates that the traditional approaches need to be reconsidered and that new models are needed.  Recent research suggests attentional deficits, cyber-fatigue and fatalism and a sense …

Cyber-Ready Libraries, Building Digital Fortresses For Tomorrow, Adeyinka B. Tella, Oluchi Precious Ogbonna Dr, Adebola Aderemi Olatoye Mrs

Journal of Cybersecurity Education, Research and Practice

Background and Purpose: Libraries are evolving into highly networked information ecosystems in this age of fast digital transformation, which increases their susceptibility to cybersecurity risks. The study "Cyber-Ready Libraries: Building Digital Fortresses for Tomorrow" looks into how prepared libraries are to face cyber threats and considers methods for creating information systems that are safe, robust, and ready for the future. To safeguard digital assets and user data, the study aims to assess existing cybersecurity practices in library settings and offer a roadmap for combining technological, human, and governance solutions.

Design/Method: The existing literature, case studies, and policy frameworks pertaining …

New Results On Three-Sided Skyline Range Counting And Reporting, Suruchi Kushwaha, Yakov Nekrich

Michigan Tech Publications

In the orthogonal skyline range counting (resp. reporting) problem we store the set of points P in a data structure so that for any query range Q the number of points (resp. the list of all points) on the skyline of Q∩P can be found efficiently. In this paper we study two-dimensional range counting and reporting problems in the case when the query range is bounded on three sides. We describe a linear-space data structure that answers top-open three-sided skyline counting queries in O(log log N) time, where N is the number of points stored in the data structure. We …

Describing Hidden Curriculum In An Undergraduate Computing Context, Joseph R. Teahen, Briana C. Bettin, Leo Ureel

Michigan Tech Publications

Hidden Curriculum (HC) is the set of essential knowledge, skills, and norms students are expected to know, but never explicitly taught. HC is disproportionately experienced across identities and communities. In computing education, most research addresses immediately identifiable HC within the researcher's context. While such work is important, without proper HC descriptive studies, we could miss more subtle HC that affects student success. This work presents results from interviews with undergraduate computing faculty, students, and peer mentors on their HC experiences. The results demonstrate several categories of HC including development tools, professional skills, institutional navigation, social well-being, and physical well-being. These …

Dynamic Autonomous Vehicle Shielding System For Vulnerable Road Users, Anonymous

Defensive Publications Series

Dynamic Autonomous Vehicle Shielding System for Vulnerable Road Users

Fibonacci Global History Length (Fihl) Dynamic Branch Predictor Architecture, Gopi K. Tummala

Defensive Publications Series

The Fibonacci Global History Length (FIHL) Branch Predictor is a highly constrained hardware architecture designed to optimize speculative execution in deeply pipelined microprocessors. Operating within a strict 32-kilobit hardware budget, the FIHL architecture synthesizes the frameworks of perceptron learning and hash indexing while replacing traditional geometric history length progressions with the Fibonacci sequence. By natively mapping global history lengths to the Fibonacci sequence across six parallel branch history tables, the design efficiently correlates both highly localized instruction patterns and distant control-flow dependencies without the exponential memory footprint of traditional pattern history tables. Empirical evaluations across diverse workloads demonstrate that this …

Crowdsourced Biometric Synchronization For Video Intensity Mapping And Benchmarking, Alan She

Defensive Publications Series

This paper describes a biometric-to-video synchronization engine that pairs wearable physiological sensors with a distributed video platform for crowdsourced intensity mapping and normalized effort-based benchmarking. Fitness video content on open platforms typically relies on subjective difficulty labels assigned by creators, which fail to account for the physiological diversity of viewers. The synchronization engine establishes a temporal sync anchor between a wearable device's biometric data stream and the video playback timeline, employing clock-drift compensation to align UTC-stamped biometric packets with the relative playback head and a latency correction algorithm to account for physiological response delay. As anonymized, normalized heart rate data …

Dynamic Viewport Slicing And Client-Side Compositing For Bandwidth-Optimized Live Video Broadcasting, Nikita Agarwal

Defensive Publications Series

This paper describes a dual-stream video delivery system for live broadcasting that reduces transmitted bandwidth by encoding only the region of active motion at full resolution. In typical live sports broadcasts, the area of viewer interest occupies only 15-20% of the video frame, while the surrounding background consumes bandwidth at uniform quality. The described system repurposes raw motion vectors generated during the AOMedia Video 1 (AV1) encoding pass to compute an action centroid coordinate, bypassing neural network-based analysis.

The encoder splits the broadcast into two concurrent layers: a full-frame background aggressively compressed to low resolution and a bounding-box action crop …

Investigation Of A Shielded Magnetic Switching Architecture And Magnetic Energy Transfer Mechanisms, Peter Branton

Defensive Publications Series

This paper presents a magnetic switching architecture based upon the controlled exposure and shielding of permanent magnetic fields.

The system combines:

• Permanent magnets

• Movable magnetic shielding

• Attraction phases

• Repulsion phases

• Force-balanced switching mechanisms

• Mechanical momentum recovery

The architecture was developed through the progressive elimination, reduction, or counterbalancing of apparent energy costs commonly associated with magnetic switching systems.

The resulting design raises a fundamental question:

Can the complete behavior of the disclosed system be fully explained using conventional magnetic energy accounting, or does the geometry reveal aspects of magnetic energy transfer that warrant further investigation?

This document presents a specific engineering …

Blade-Integrated Triply Periodic Minimal Surface Micro-Cooling Distribution Unit For High-Density Data Centers, N/A, N/A

Defensive Publications Series

A decentralized liquid cooling architecture for high-density data center racks integrates a micro-cooling distribution unit (mCDU) directly onto each server blade or chassis wall. The mCDU, an additively manufactured monolithic block of titanium or aluminum, replaces centralized rack-level heat exchangers and their associated plumbing. Its internal structure uses a triply periodic minimal surface (TPMS) lattice, such as a Schwarz-P or Schwarz-D geometry, to create two intertwined, co-continuous fluid paths. One path circulates hot coolant from the server components while the other circulates cold facility water. This TPMS geometry has a large surface-area-to-volume ratio for thermal exchange and results in low …

Predictive Hardware State Mitigation Using Telemetry And Feedback, Mohsen Heidarinejad, Farid Kenarangi, Arpit Mittal, Amin Khajeh

Defensive Publications Series

Varying computational tasks introduce thermal and power dependencies within modern computing devices. Static threshold policies might not fully capture cumulative operational stress, potentially causing over-throttling or delayed hardware responses. A closed-loop machine learning framework is disclosed that dynamically evaluates multidimensional telemetry data to compute a predictive risk score. A feature selector extracts direct measurements, system activity indicators, temporal features, and health indicators. Based on the calculated risk score, an arbitrator dynamically applies mitigation actions (e.g., scaling component voltage and frequency states). A model corrector operates during hardware idle periods to iteratively refine predictive modeling using observed performance metrics. The disclosed …

Fused Arithmetic Datapath For Bit‑Slicing Multiply‑And‑Accumulate Units, Dongseok Im, Hee Jun Park

Defensive Publications Series

Many modern processing systems utilizing bit‑scalable architectures may experience performance limitations due to dynamic power consumption from heavy integer arithmetic operations. Executing higher‑precision quantized matrix multiplications on lower‑precision multiply‑and‑accumulate (MAC) hardware typically requires calculating multiple independent partial products, which may lower computational efficiency. The disclosed processing system derives cross‑product terms simultaneously through a fused mathematical operation. Specifically, it uses pre‑multiplication addition on decomposed operand segments and executes a post‑multiplication subtraction to isolate the cross‑products. This approach reduces the total number of hardware multiplication operations utilized per calculation. By reducing these redundant steps, the processing system may lower dynamic power consumption, …

Generative Media Repair For Uninterrupted Transcoding With An Asynchronous Approval, Nikita Agarwal

Defensive Publications Series

The process of ingesting large-scale media files may be interrupted by data corruption, which can necessitate a re-upload and re-transcode, consuming network and computational resources. Described systems and methods can address this by detecting corruption during ingestion, generating a provisional synthetic patch for the corrupted portion, and allowing the transcoding process to proceed. A cryptographic manifest can be created to document the change, and the provisionally repaired asset may be held in a quarantined state. An asynchronous approval workflow can then allow a content partner to review, approve, or reject the patch, with a fallback for providing a corrected segment. …

Fusing Uwb Spatial Data And Imu Orientation For Deterministic Device Targeting, Nikita Agarwal

Defensive Publications Series

Systems for routing interactive content, for example, from a primary display to a specific user's device in a multi-user environment, can present challenges in identifying the intended recipient. This disclosure describes systems and methods that can combine spatial data with orientation data to help ascertain user intent. For example, spatial positioning of devices may be determined using ultra-wideband (UWB) radio signals, while an inertial measurement unit in a handheld control device (e.g., a remote control, smartphone, or wearable device) can track its orientation. By fusing these data streams, a directional vector can be projected from the control device. A target …

Agentic Graph Querying On A Sharded Architecture Using A Large Language Model, Sai Charan Tej Kommuri

Defensive Publications Series

Using large language models (LLMs) to query large, scale, graph, structured data can present challenges, as encoding an entire graph into a single prompt may exceed context window limits and can lead to reduced accuracy on multi-hop queries. Systems and methods can partition a graph into a collection of smaller, human-readable documents, or shards. An agentic orchestration process may use a global symbolic index, contained within a summary shard, to locate and retrieve relevant shards on demand. This process can decompose a complex query into a sequence of single-hop LLM calls, where each call can operate on a context comprising …

The Hybrid Path Architecture For Live Application Telemetry And Control, Stephen Norum, Christopher Burns, Leila Al-Muhtasib

Defensive Publications Series

Standard tools for analyzing software often slow down the programs they are testing and create data logjams, making it hard to catch fast-moving glitches. This system solves that problem by splitting communication into different "paths." It creates a high-speed lane for data to flow directly from the app to a dashboard, skipping the usual middleman tools that cause delays. Developers can also add new diagnostic tools to an app while it is already running without needing to change the code or restart it. This allows for real-time monitoring and fixing of apps with much less impact on their performance.

Dynamic Modification Of Digital Content Based On Real-Time Environmental And Geo-Temporal Signals, Indu Ramamurthi, Aravind Balakrishnan

Defensive Publications Series

The present disclosure relates to dynamically modifying digital content, such as digital advertising and e-commerce recommendations, based on real-time environmental and geo-temporal signals. Systems and methods are provided for utilizing an asynchronous environmental caching layer integrated with generative artificial intelligence to mutate product metadata during live content serving auctions. By mapping a user's local environmental conditions against a product's attribute graph, the system suppresses irrelevant product features and elevates contextually relevant attributes. This enables content adaptation to the immediate physical reality of a user, enhancing contextual relevance and user engagement. Keywords: dynamic content generation, generative AI, environmental signals, geo-temporal data, …

Minimizing The Gap Between Church And Disability In Churches Of Christ, Paris Freeman

Discernment: Theology and the Practice of Ministry

Church members with intellectual and developmental disabilities often experience disconnection from their churches. This qualitative study examined this disconnect in three suburban Church of Christ congregations within the North Texas area. Using an ethnographic approach, data was collected through interviews with ministry leaders, participatory observation, and a literature review. The analysis of the data, in conjunction with family systems theory, was utilized to construct a model for disability ministry which validates personhood and promotes awareness of self and others. The impact of the church growth movement on disability was also examined, but no definitive correlation could be determined. Further research …

Identifying Active Layer Dynamics Across Geomorphic Landforms In Longyeardalen, Central Svalbard, Madeline Kim Koelbel

Earth Sciences Undergraduate Senior Theses

The thermal state of the active layer and analysis of meteorological conditions provides a greater understanding of where active layer detachment slides can occur. This study provides an overview of the active layer ground thermal regime for 2024 and 2025 in Longyeardalen, Svalbard, where the largest settlement in Svalbard, Longyearbyen is located. Ground temperature data was extracted from 8 boreholes in Longyeardalen and meteorological data was extracted from one weather station in central Longyeardalen. Overall, the ALT thickness and the thawing period increased from 2024 to 2025 while the thaw rate remained the same or decreased. The zero-curtain effect was …

Fisheye Camera Object Detection For Traffic Surveillance, Hugo Yang, Robert Luo

Computer Science and Engineering Senior Theses

Effective traffic management is hampered by the physical limitations of traditional pinhole cameras, whose narrow fields of view create blind spots that require costly multi-camera infrastructure to overcome. Fisheye cameras offer a wide-angle alternative capable of single-camera intersection coverage, but the radial distortion inherent in their optics renders standard object detection algorithms unreliable, limiting their practical deployment in traffic surveillance.

This thesis investigates specialized object detection pipelines for fisheye traffic imagery by reproducing and building upon two top-ranked submissions from the 2025 AI City Challenge Track 4: the VNPT and SKKU-AutoLab pipelines. Both were successfully reconstructed outside their original containerized …

Sustainable Waste Valorization: Chitosan From Shrimp Shells For Eco-Friendly Cement Mortars And Global Nexus, Dalia A. Ali Associate Prof., Rahma H. Thabet Dr., Norah Alwadai Associate Prof., Fekri Abdulraqeb Ahmed Ali Prof., Ahmed S. Al-Fatesh Prof., Zeinab A. Etman Prof.

Chemical Engineering

This study addresses environmental and economic challenges by investigating the valorization of green shrimp shell biowaste into chitosan for application as an eco-friendly, sustainable, and multifunctional cement mortar additive. Chitosan synthesized from shrimp shells was systematically incorporated into high early-strength hydraulic cement mortar specimens ranging from 0 wt% to 1.5 wt% in the presence of silica sand. The influence of chitosan incorporation on the properties of cement mortars was systematically investigated, including mechanical performance (compressive strength and setting time), the underlying mechanism of chemical interactions, and microstructural development. X-ray diffraction (XRD) analysis was performed on the extracted chitosan to confirm …

Open Versus Locked Unit To Safely Foster Dementia Wandering, Marie Cummings Rn

Nurse Residency

How would the inclusion of a locked medical-surgical unit for patients with dementia who exhibit wandering behavior prevent elopement, reduce involuntary holds and restraint use, and high rates behavioral codes that are experienced on open units such as Mid Coast Hospital’s medical-surgical unit?

Plugging The Digital Reproductive Health Data Privacy Holes In The Post-Dobbs Era—A New Evidentiary Privilege, Fengting Liang

NULR Online

No abstract provided.

Otologic Manifestations Of Temporomandibular Disorders, Fatemeh Ebrahimi, Ali Akbar, Vivian Jin, Vivian F Kaul, Craig B Pearl

Faculty, Staff and Student Publications

Background/Objectives: Temporomandibular disorder (TMD) affects a third of the adult population and has been associated with otologic symptoms. These symptoms are frequently misattributed to primary otologic diseases, leading to delays in diagnosis and treatment. This review aims to summarize the reported prevalence, proposed pathophysiologic mechanisms, and management strategies of otologic manifestations in patients with TMD.

Methods: A literature review was conducted using the MeSH terms "temporomandibular joint disease" and "otologic symptoms." Five additional searches were performed using "temporomandibular disease/dysfunction" combined with each of the five most common otologic symptoms. Meta-analyses, randomized controlled trials, reviews, and systematic reviews were …

Behavioural Activation For The Prevention Of Poststroke Depression In Low-Income Older Stroke Survivors (Live Wel): Protocol For A Randomised Controlled Trial, Jennifer E S Beauchamp, Sean I Savitz, Anjail Sharrief, Belinda M Reininger, Ronald Acierno, Robert Suchting, Jason Burnett, Lauren Rosales, Jenan Ahmed Albaqali, Rinitha Rajan, Namkee G Choi

Faculty, Staff and Student Publications

Introduction: Poststroke depression (PSD) affects approximately 33% of stroke survivors and is associated with worse outcomes, poor quality of life (QOL) and mortality. Despite its prevalence and consequences, there is no consensus on the most effective strategy for PSD prevention. Behavioural activation (BA) is an effective intervention for depression across diverse populations and is considered safer, better tolerated and a longer-lasting alternative to antidepressant medications. This study aims to test the effectiveness of a remotely delivered BA intervention to prevent PSD (Tele-BA-S).

Methods and analysis: We will conduct a randomised effectiveness trial of 350 low-income adults (≥ 55 years) within …

Minimizing Makespan In Sublinear Time Via Weighted Random Sampling, Bin Fu, Yumei Huo, Hairong Zhao

Computer Science Faculty Publications

We consider the classical makespan minimization scheduling problem where n jobs must be scheduled on m identical machines. Using weighted random sampling, we develop two sublinear time approximation schemes: one for the case where n is known and one for the case where n is unknown. Both algorithms not only give a (1+3ϵ)-approximation to the optimal makespan but also generate a sketch schedule. Our first algorithm, which targets the case where n is known and draws samples in a single round under weighted random sampling, has a running time of O~(m⁵ϵ⁴n+A(mϵ,ϵ)), where A(N,α) is the time …

Interview With Rosa Elia Garza, Rosa Elia Garza, Logan Dovalina

Rio Grande Valley Oral Histories

Rosa Elia Garza (née Peña) was born on August 19, 1947, in Arcabuz, Tamaulipas, Mexico, and immigrated to the United States at four months of age with her parents, Porfirio Peña and Elodia González Peña. The youngest of eight sisters in a family with no sons, she grew up in Monte Alto, Texas, where her family built a life centered on hard work, family unity, and the pursuit of a better future after selling their property in Mexico. From age six, Rosa worked in the cotton fields alongside her mother and sisters, eventually traveling seasonally with other Valley families in …

Seizure-Induced Resolution Of Depressive And Psychotic Symptoms In A Pregnant Patient: A Case Of Spontaneous Neuromodulation, Ariel E. Sosa Gomez, Ryan M. Go, David Valdez

School of Medicine Publications

Many individuals with epilepsy often develop major depressive disorder (MDD), creating a complex interplay that exacerbates outcomes for affected individuals. The relationship between these disorders may be mediated by overlapping neurobiological mechanisms, including disturbances in the limbic system, neurotransmitter imbalances, and the psychosocial stressors of chronic illness. While the co-occurrence typically leads to a worsening of symptoms, rare instances have been reported in which seizure activity appears to ameliorate psychiatric symptomatology. We present the case of a 23-year-old pregnant Hispanic female with a longstanding history of treatment-resistant depression with psychotic features and epilepsy, who demonstrated full remission of depressive and …