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Adaptive Behavioral Security System With Real-Time Closed-Loop Response For Web, Mobile, Api, And Ai Agent Protection, Duncan Ndegwa Ndungu Apr 2026

Adaptive Behavioral Security System With Real-Time Closed-Loop Response For Web, Mobile, Api, And Ai Agent Protection, Duncan Ndegwa Ndungu

Defensive Publications Series

This publication discloses six interrelated security inventions implemented in the DevFortress SDK v4.8.0: (1) Credential Aliasing — replacing real authentication credentials with cryptographically random aliases (supporting 10 generation methods including CSPRNG, HKDF-SHA256, BLAKE3, and FPE/FF3-1) so that a complete breach of the monitoring service yields zero valid credentials; (2) a Three-Mode Closed-Loop Response Engine achieving sub-10ms automated threat remediation via external, internal, and hybrid modes; (3) a Behavioral Baseline Engine using adaptive EWMA across eight feature dimensions for novel attack detection; (4) Cross-Alias Correlation using Locality-Sensitive Hashing for distributed attack identification and simultaneous cluster revocation; (5) Graduated Rate Limiting with …


Temporal Blind Spot Failure In Serverless Cloud Systems: How Ai Agents Cause Cloud Disasters, Aaron Burton Apr 2026

Temporal Blind Spot Failure In Serverless Cloud Systems: How Ai Agents Cause Cloud Disasters, Aaron Burton

Defensive Publications Series

This disclosure defines and documents Temporal Blind Spot Failure, a recurring agentic AI failure mode in which autonomous AI agents operating inside serverless cloud systems take actions that are locally rational but catastrophic across complex cloud environments. Temporal Blind Spot Failure is distinct from prompt injection, memory poisoning, and output hallucination. It occurs because the agent decides one step at a time and cannot see how its choices compound across the systems those choices touch. This disclosure establishes Temporal Blind Spot Failure as a named category of agentic AI failure modes, describes how it shows up across the model, the …


Configurable Document Requirement Checklist Engine For Real Estate Transaction Types, Aaron Burton Apr 2026

Configurable Document Requirement Checklist Engine For Real Estate Transaction Types, Aaron Burton

Defensive Publications Series

A configurable checklist engine for real estate document collection that maintains per-transaction-type requirement definitions specifying required documents, acceptable file formats, expiration rules, and submission deadlines. The engine tracks completion percentage across all parties in a transaction by comparing submitted and verified documents against the active checklist. Transaction types include residential purchase, commercial lease, refinance, and 1031 exchange, each with distinct document requirement sets that administrators can modify without code changes.


Deliberative Constraint-Field Multi-Agent Systems (Dcf-Mas): A Framework For Fate-Constrained, Narrative-Consistent Autonomous Workspaces, Johny Manuel-Devadoss Apr 2026

Deliberative Constraint-Field Multi-Agent Systems (Dcf-Mas): A Framework For Fate-Constrained, Narrative-Consistent Autonomous Workspaces, Johny Manuel-Devadoss

Defensive Publications Series

Contemporary multi-agent systems are predominantly designed around optimization, task decomposition, and explicit coordination protocols. While effective in structured environments, these paradigms struggle with long-horizon reasoning, irreversibility, and systemic constraints that are not directly observable. This paper introduces Deliberative Constraint-Field Multi-Agent Systems (DCF-MAS), a novel framework that reconceptualizes multi-agent coordination as a process of collective deliberation operating within latent constraint fields and irreversible state transitions. DCF-MAS departs from optimization-centric orchestration by introducing three foundational mechanisms: Shared Deliberative Substrates, Latent Constraint Fields, and Irreversible State Transition Engines. These mechanisms enable agents to reason collectively, adapt to hidden systemic limitations, and account for …


System For An Interactive Ambient Character Using Mmwave Radar For Presence Detection And Acoustic Event Recognition, Hanumanth Godari Apr 2026

System For An Interactive Ambient Character Using Mmwave Radar For Presence Detection And Acoustic Event Recognition, Hanumanth Godari

Defensive Publications Series

A system can use an on-screen digital character powered by an artificial intelligence framework to provide an interactive ambient display. The system may integrate a millimeter-wave radar sensor for camera-less presence detection and a far-field microphone array for acoustic event recognition of ambient household sounds. Based on data from these sensors, the digital character could, for example, acknowledge a user entering a room or react to specific sounds, such as music or a doorbell. This allows a display's idle screen on a computing device (e.g., a smart display, television, or tablet) to function as a dynamic, context-aware interface. The interface …


Adaptive Semantic Audio Filtering Via Neural Source Separation And Intent-Based Vector Scoring, Tamar Yakar, Ilia Labzovsky Apr 2026

Adaptive Semantic Audio Filtering Via Neural Source Separation And Intent-Based Vector Scoring, Tamar Yakar, Ilia Labzovsky

Defensive Publications Series

Acoustic environments containing multiple simultaneous speakers present challenges for conventional noise cancellation and transparency technologies, which often fail to isolate specific audio based on semantic relevance. Traditional methods, such as directional beamforming or spectral profiling, cannot distinguish between sources based on the topical content of speech.

An adaptive semantic audio filtering method is disclosed to address these limitations. Ambient audio is captured and decomposed into discrete streams using neural blind source separation. Each stream is transcribed via automated speech recognition and converted into a context vector. These vectors are compared against a user-defined target semantic profile using cosine similarity scoring. …


System And Method For Asynchronous Orchestration Of Physical Inventory Updates Using A Time-Bound Two-Phase Commit Protocol, N/A Apr 2026

System And Method For Asynchronous Orchestration Of Physical Inventory Updates Using A Time-Bound Two-Phase Commit Protocol, N/A

Defensive Publications Series

A system and method for orchestrating physical inventory updates across distributed network infrastructures utilizing a time-bound two-phase commit protocol. The system decouples the validation of a material order from its execution to prevent data drift and partial failures in asynchronous environments. A commit token mechanism provides a temporary cryptographic key carrying the pre-validated state of a transaction. This allows the system to perform dry-run simulations and enforce inventory reservations over long latencies without locking underlying database resources.

Keywords: asynchronous orchestration, physical inventory, two-phase commit, commit token, distributed systems, supply chain management.


Synthetic Meeting Generation System With Optional Reference-Grounding, Gregor Karetka, Viktoria Ondrejova, Samo Sucik, Zoe Gerolemou, Daniel Skala Apr 2026

Synthetic Meeting Generation System With Optional Reference-Grounding, Gregor Karetka, Viktoria Ondrejova, Samo Sucik, Zoe Gerolemou, Daniel Skala

Defensive Publications Series

Teams often struggle to evaluate the quality of features that process the content of virtual meetings, e.g. meeting summarizers. For such evaluation, one needs a large, realistic dataset of meetings but this is often difficult to obtain as real meeting contents are sensitive, privacy-restricted data. Proposed herein is a system that generates synthetic yet realistic meetings that mirror how people talk, with varied personalities, moods, and interactions. The generated meetings can follow the specified overall distributions of key parameters like duration or the number of attendees (thus leading to a broad, representative dataset for general evaluation), or they can replicate …


Autonomous Multi-Agent Intelligent Container Orchestration For Resource-Constrained On-Premises Environments, Pavankumar Bandanakanti, Srikar Chaitanya Nistala, Ashish Pb Apr 2026

Autonomous Multi-Agent Intelligent Container Orchestration For Resource-Constrained On-Premises Environments, Pavankumar Bandanakanti, Srikar Chaitanya Nistala, Ashish Pb

Defensive Publications Series

Current edge computing is stuck in a 'static' trap.  Containers with fixed limits are deployed, and, when demand spikes, either the system crashes because there are no cloud resources in which to scale additional containers or auto-scaling is orchestrated by a central manager. This submission proposes an agentic architecture to facilitate container orchestration. The proposed agentic architecture enables a shift from passive containers to 'Self-Aware Agents'.


Integrated Proactive Monitoring And Ai Analysis System For Telecommunications Provisioning, Radley Kneeland, Venkatesh Manian Apr 2026

Integrated Proactive Monitoring And Ai Analysis System For Telecommunications Provisioning, Radley Kneeland, Venkatesh Manian

Defensive Publications Series

Proposed herein is a system that bridges the gap between anomaly detection and root cause analysis by embedding one-click AI diagnosis directly into monitoring alerts and automatically including artificial intelligence (AI)-generated analysis in email notifications. This eliminates the manual, hours-long process of switching between multiple tools to investigate provisioning errors, reducing mean time to resolution from hours to seconds while scaling to millions of events per day.


Menerapkan Temuan Ilmiah Untuk Mengikis Kemiskinan Peran Hukum Dalam Pembangunan Ekonomi, Charles Himawan Apr 2026

Menerapkan Temuan Ilmiah Untuk Mengikis Kemiskinan Peran Hukum Dalam Pembangunan Ekonomi, Charles Himawan

Jurnal Hukum & Pembangunan

Abstract


Fhsu's New Ai Lab Levels The Playing Field, April 23, 2026, Tisa Mason Ed.D. Apr 2026

Fhsu's New Ai Lab Levels The Playing Field, April 23, 2026, Tisa Mason Ed.D.

Heart of a Tiger Columns

No abstract provided.


Predicting Telecom Customer Churn: A Statistically Validated Kpi Framework With Machine Learning And Revenue Impact Modeling, Moeez Islam Malik '27, Amy Ehinomen Eremionkhale Apr 2026

Predicting Telecom Customer Churn: A Statistically Validated Kpi Framework With Machine Learning And Revenue Impact Modeling, Moeez Islam Malik '27, Amy Ehinomen Eremionkhale

Student Research

This capstone project addresses a core business problem in the telecommunications industry: how to detect, measure, and prevent customer churn before it occurs, using a KPI framework validated by statistical analysis and machine learning. Applied to 7,043 customer records across 37 variables from a California-based telecom operator, the analysis integrates descriptive KPI computation, Pearson correlation analysis, chi-square tests of independence, and logistic regression churn prediction. The research confirms that customer tenure (r = −0.352, p < 0.001) and contract type (Cramér's V = 0.410, p < 0.001) are the dominant predictors of churn, and that a logistic regression model achieves AUC-ROC = 0.8307 — sufficient for proactive deployment. A 5-percentage-point churn reduction preserves $273,670 in annual revenue and $1.55M in customer lifetime value. The project delivers an integrated analytical framework, a predictive retention model, a 16-chart visualization suite, and a 12-page Power BI executive dashboard.


Editorial, Yuval Baruch Apr 2026

Editorial, Yuval Baruch

'Atiqot

Editorial


Beyond The Numbers: Supporting Young Adults With Diabetes In The Transition To Adulthood, Alexis Salkovick Apr 2026

Beyond The Numbers: Supporting Young Adults With Diabetes In The Transition To Adulthood, Alexis Salkovick

Honors Projects

This project focuses on the transition to adulthood for young people with diabetes, a chronic medical condition. Both Type 1 and Type 2 diabetes are included. The main research focus is two-part: first examining this transition including barriers to health care, changes in lifestyle, and mental health, and then creating a new, innovative tool to support young adults with diabetes. An independent literature review was conducted to investigate diabetes management, barriers to health care, how transitioning to adulthood impacts diabetes care, and the importance of patient support systems. Then, a board game was developed with the dual purpose of educating …


Powercatchat‑Dentistry: An Ai Clinical Coach For Pacific Dental Students, Han Nguyen, Vivek Krishnamani Pallipuram, Parvati Iyer Dr. Apr 2026

Powercatchat‑Dentistry: An Ai Clinical Coach For Pacific Dental Students, Han Nguyen, Vivek Krishnamani Pallipuram, Parvati Iyer Dr.

Pacific Innovation and Entrepreneurship Summit (PIES)

Ever wonder what would happen if every dental student had a seasoned medical risk consultant in their pocket? One that never gets tired, never forgets a guideline, and always explains the “why” behind every decision? That’s PowerCatChat‑Dentistry. Built by Dugoni and SOECS, it does not just answer questions; it ingests a patient’s medical history, medications, and clinical findings to deliver a comprehensive, structured risk assessment with clear rationale and step‑by‑step chairside management strategies. Drawing on medical association guidelines, current literature, and Pacific’s own lectures, PowerCatChat can detect student emotions, putting them at ease in a stressful clinical setting and nudging …


Addressing The Ai Skill Gap In The Business Industry, Eldar Aliev, Alek Newman, Daniel Govea, Elijah Sternweiler, Juan Vega, Stepan Bobrenev Apr 2026

Addressing The Ai Skill Gap In The Business Industry, Eldar Aliev, Alek Newman, Daniel Govea, Elijah Sternweiler, Juan Vega, Stepan Bobrenev

Pacific Innovation and Entrepreneurship Summit (PIES)

The rapid spread of artificial intelligence across industries has created a widening gap between the skills employers now expect and the skills the workforce is prepared to offer. This study measures that gap across eight core business functions—finance, accounting, marketing, sales, management, HR, operations, and analytics—using a mixed-methods approach that compares real-time employer demand with the federal occupational baseline.

On the demand side, 1,435 job postings were collected from Google Jobs through SerpAPI between February and March 2026 and coded using a 50-keyword skill taxonomy covering 8 AI skill categories and 10 traditional skill categories. On the supply side, 36 …


Makerspace Information & Notification Display (Mind), Anna Noto, Matthew Bernadino, Jake Tandy Apr 2026

Makerspace Information & Notification Display (Mind), Anna Noto, Matthew Bernadino, Jake Tandy

Pacific Innovation and Entrepreneurship Summit (PIES)

This project presents the design and implementation of a centralized digital display system for the Makerspace to improve communication among employees, students, and faculty. Existing methods of sharing information are often fragmented and inconsistent, making it difficult for users to access real-time updates on space status, policies, resources, and announcements. To address this issue, a modular LED matrix display system was developed using a Raspberry Pi and a series of daisy-chained panels. The system integrates with Google Sheets as a dynamic data source, allowing content to be updated remotely and reflected on the display in near real-time. In response to …


Barbell Analysis Module (Bam), Ethan Cole, Shaan Lele, Andy Nguyen, Mari Anderson Apr 2026

Barbell Analysis Module (Bam), Ethan Cole, Shaan Lele, Andy Nguyen, Mari Anderson

Pacific Innovation and Entrepreneurship Summit (PIES)

The Barbell Analysis Modules (BAM) are a barbell-mounted motion tracking system designed to analyze lifting form during a barbell squat exercise. Bar path is a crucial indicator of lifting efficiency, yet many tracking systems are expensive or impractical in everyday weight-training environments. BAM was created to provide a small-form-factor and cost-effective solution that can be mounted directly on a standard Olympic barbell to obtain motion-related data during the exercise. The modules are intended to measure bar path straightness, tilt, orientation, and repetition velocity, which will allow barbell users and athletes to gain feedback on their performance and technique. Our design …


Analyzing Kinematic Data With Machine Learning To Detect Injuries In Swimmers, Ben Gronbach, Kyle Capili Apr 2026

Analyzing Kinematic Data With Machine Learning To Detect Injuries In Swimmers, Ben Gronbach, Kyle Capili

Pacific Innovation and Entrepreneurship Summit (PIES)

Shoulder injuries represent the most prevalent form of overuse injury among elite aquatic athletes, among competitive swimmers, reported rates of injured shoulders vary from 40% to 91% across different studies [1]. However, they frequently remain undetected until they progress to more advanced and clinically significant stages. This gap in early identification limits opportunities for timely intervention and injury prevention. The proposed project seeks to address this critical issue by leveraging wearable inertial measurement unit (IMU) sensors in combination with advanced machine learning techniques to enable objective, continuous monitoring of shoulder biomechanics. Specifically, this study will enroll a cohort of 40 …


Nasa, Japan, And The Commercial Space Industry, William D. Haddock, Anonymous Apr 2026

Nasa, Japan, And The Commercial Space Industry, William D. Haddock, Anonymous

Student Contributions

This policy brief analyzes China’s growing competition with the United States in the commercial space sector. China’s state-owned enterprises are expanding their influence in space development, challenging U.S. leadership. The brief proposes reforming NASA’s acquisition and bidding policies while strengthening U.S.-Japan cooperation to enhance joint space capabilities and preserve strategic influence.


Satellite Resiliency Against Nuclear Detonation In Space, Brianna Johnson, Samantha Harper, Tyler D. Thompson Apr 2026

Satellite Resiliency Against Nuclear Detonation In Space, Brianna Johnson, Samantha Harper, Tyler D. Thompson

Student Contributions

This policy brief examines weaknesses and ambiguities in the 1967 Outer Space Treaty regarding nuclear and other weapons of mass destruction in space. Following Russia’s 2024 veto of a UN Security Council resolution proposed by Japan and the United States, concerns over the deployment of nuclear weapons in space have intensified. The brief proposes technical standards for cost-effective resiliency testing and satellite hardening as part of bilateral U.S.-Japan measures to strengthen resilience against nuclear detonations.


Endowmentball, Doron Narotzki Apr 2026

Endowmentball, Doron Narotzki

Northwestern Journal of Law & Social Policy

This Article presents a policy and a structural response to a national capacity failure in American higher education: the concentration of endowment wealth in a handful of elite institutions, while most colleges, those that educate the majority of Americans, including most low-income, first-generation, and underrepresented students, operate under permanent financial constraint, and remain drastically underfunded. This imbalance carries a profound social cost. It weakens equity, limits inclusion, and undermines the promise of upward mobility that higher education is supposed to deliver.

The proposed framework introduces a progressive excise tax on endowment investment returns, scaled by per-student wealth. Universities with excessive …


Hazardous Devices Disruptor Field Data Application, Matthew David Abrams Apr 2026

Hazardous Devices Disruptor Field Data Application, Matthew David Abrams

Honors Capstone Projects and Theses

No abstract provided.


Three Bacterial Endophytes Enhanced Plant Growth And Yield And Reduced The Severity Of Phytophthora Capsici In Bell Pepper And Tomato Plants In The Field, Daniel Ambachew, Margaret T. Mmbaga Mmbaga, Richard Hall, Peter Eyegheleme, Mustapha Olawuni, Jamille Robinson, Emily Rotich Apr 2026

Three Bacterial Endophytes Enhanced Plant Growth And Yield And Reduced The Severity Of Phytophthora Capsici In Bell Pepper And Tomato Plants In The Field, Daniel Ambachew, Margaret T. Mmbaga Mmbaga, Richard Hall, Peter Eyegheleme, Mustapha Olawuni, Jamille Robinson, Emily Rotich

Agricultural and Environmental Sciences Faculty Research

Naturally abundant endophytes colonize plants internally without causing harm to their host plants. Endophytes are likely to occupy the same ecological niches as phytopathogens and thus have a high potential to be effective biological control agents. Their demonstrated ability to suppress more than one plant pathogen suggests that they can offer a viable alternative to chemical fungicides and a strategy for decreasing the inoculum potential of soil-borne pathogens. Some biocontrol endophytes are also known to improve soil health and the overall health of plants. However, the results in greenhouse studies do not always translate to consistent field efficacy. In this …


“Downstream People:” Lessons From The Tar Creek Superfund Site And Quapaw Nation In Pursuit Of An Environmental Justice-Informed Cercla Regime, Leah Fitter Apr 2026

“Downstream People:” Lessons From The Tar Creek Superfund Site And Quapaw Nation In Pursuit Of An Environmental Justice-Informed Cercla Regime, Leah Fitter

Northwestern Journal of Law & Social Policy

In 1983, the United States Environmental Protection Agency (“EPA”) designated Tar Creek, a former productive zinc and lead mining zone located in northeastern Oklahoma on land predominantly owned by the Indigenous Quapaw people, as a Superfund site. Its designation came in the wake of findings in 1980 that drainage and tailings from the site’s mining days had polluted the zone’s surface water into some of the most toxic water in the country. Tar Creek was an environmental justice disaster that disproportionately exposed the historically marginalized Quapaw Nation to hazardous mining waste and resulted in detrimental health impacts. Despite numerous demonstrations …


Transparency In Third-Party Litigation Funding: A Pathway To Protect America’S National Security Interests, Madison D. Gonzalez Apr 2026

Transparency In Third-Party Litigation Funding: A Pathway To Protect America’S National Security Interests, Madison D. Gonzalez

Catholic University Law Review

Third-party litigation funding (TPLF) has opened the courtroom doors for many Americans who may otherwise not be able to afford to seek justice in America’s civil court system. The democratization of the civil court system has benefitted many Americans but the lack of transparency as to the true identities of those behind the litigation has sparked concerns that America’s foreign adversaries may weaponize TPLF to harm America’s national security interests through lengthy and costly litigation. To address this threat, Congress and state legislatures have begun to explore policy changes to increase transparency in TPLF. Several states have adopted disclosure requirements …


Restrain, Seclude, Repeat: Seeking Solutions To End The Troubled Teen Industry’S Cycle Of Harm, Elizabeth James Apr 2026

Restrain, Seclude, Repeat: Seeking Solutions To End The Troubled Teen Industry’S Cycle Of Harm, Elizabeth James

Northwestern Journal of Law & Social Policy

Although there is a consensus that children receiving mental health treatment in youth residential programs should only be restrained and secluded in emergency situations, youth residential program staff routinely restrain and seclude children in non-emergency situations, causing significant physical and psychological harm to the child and, on occasion, leading to the child’s death. Current federal and state laws do not adequately regulate this practice, nor correct a business model that wrongly prioritizes profits over a child’s well-being, but private action through 42 U.S.C. § 1983 may provide a powerful remedy to victims of the troubled teen industry and the necessary …


Experimental Investigation Of Mode-Ii Interlaminar Fatigue Damage In Stitched And Unstitched End-Notched Flexure Carbon Fiber Composites, Madelyn Sloan Berry Apr 2026

Experimental Investigation Of Mode-Ii Interlaminar Fatigue Damage In Stitched And Unstitched End-Notched Flexure Carbon Fiber Composites, Madelyn Sloan Berry

Honors Theses

Composite materials are increasingly used in aerospace structures due to their high strength-to-weight ratio, but their susceptibility to interlaminar fatigue damage remains a critical concern, particularly under mode-II shear loading. This study investigates the fatigue behavior of stitched and unstitched quasi-isotropic carbon fiber composite specimens made of SAERTEX Class-75 non-crimp fabrics and Hexcel 1078-1 epoxy via vacuum assisted resin transfer molding. Global fatigue behavior was analyzed using displacement and crack length cycle relationships derived from compliance calibration methods (CCM), while local behavior was examined using digital image correlation (DIC). Unstitched specimens exhibited a single rapid crack growth associated with unstable …


Rationale Behind Subtitle Usage In Non-Deaf Individuals Across Various Platforms, Jenna E. Kasselman Apr 2026

Rationale Behind Subtitle Usage In Non-Deaf Individuals Across Various Platforms, Jenna E. Kasselman

Honors Theses

Subtitles have a long history with the medium of audiovisual communication. Options for viewing media with added text have only increased with technology, and in the age of the internet, more accessible material is available than ever before. While numerous studies have been conducted on the beneficial effects of subtitles for both the deaf and the hearing, little academic publication has been done on the rates of subtitle usage, reasons for usage, and how that usage differs based on what media is being viewed. The current study examines subtitle usage, frequency of subtitle usage, and reasoning for that usage divided …