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Spartan Daily, March 26, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 28

Teaching Children Money Management, Melanie Jewkes, Amanda Christensen, Andrea Schmutz, Vincenza Vicari-Bentley, Kelan Combe, Rochelle Allen, Lauren Olsen, Jenny Weller, Mckenzie Walsh

All Current Publications

Don't fret if, as a parent, you don't feel qualified to teach your children about money. Talking about money and choices made with money (for better or worse) is a great place to start. This publication covers what and how to teach children about money management skills, and gives every-day parents ideas to start the conversation.

Utah Altitude Adjustments For Home Canning, Margie Memmott, Ariel Petersen, Callahan Adams, Andrea Schmutz

All Current Publications

Knowing your altitude is critical for canning. Safe home food preservation depends on adjusting processing times and pressures for altitude. This fact sheet provides a county-by-county and town-by-town listing of elevations across Utah, paired with the boiling-water and pressure canner adjustments recommended by the U.S. Department of Agriculture (USDA) and the National Center for Home Food Preservation. By referencing this resource, Extension educators, food preservation instructors, and home canners can quickly identify the correct processing adjustment for their location.

Cardinals Unveil New Ticket Package For 2026 Season, Truman Griessel

Lindenlink (2012- )

No abstract provided.

The End Of Constitutional Amendment In The U.S. ?, Floersheimer Center For Constitutional Democracy, Brennan Center For Justice

2025–2026 Flyers

No abstract provided.

Monitoring Relapse In Post-Transplant Acute Myeloid Leukemia Requires Integrated Assessment, With Flow Cytometry Showing The Highest Efficacy, Wei J Wang, Sa A Wang, Hong Fang, Qing Wei, Shimin Hu, Gheath Al-Atrash, Peng Wei, Jeffrey L Medeiros, Wei Wang

Faculty, Staff and Student Publications

No abstract provided.

The Development Of A Framework To Classify Medication Deprescribing Among Patients With Type 2 Diabetes In Primary Care Practices, Stefanie M Meyer, Madeline Watson, Micaela C Karlsen

Faculty, Staff and Student Publications

No abstract provided.

An Integrated Germline And Somatic Genomic Model For Coronary Artery Disease, Xiong Yang, Min Seo Kim, Xinyu Zhu, Md Mesbah Uddin, Tetsushi Nakao, So Mi Jemma Cho, Satoshi Koyama, Tingfeng Xu, Laurens F Reeskamp, Rufan Zhang, Zhaoqi Liu, Yunga A, Paul S De Vries, Ramachandran S Vasan, Eric Boerwinkle, Alanna C Morrison, Bruce M Psaty, Russell P Tracy, Susan R Heckbert, Michael H Cho, Jeong H Yun, Nicholette D Palmer, Donald W Bowden, Joanne M Murabito, Daniel Levy, Nancy L Heard-Costa, George T O'Connor, Lewis C Becker, Brian G Kral, Lisa R Yanek, Laura M Raffield, Bertha Hidalgo, Jerome I Rotter, Stephen S Rich, Kent D Taylor, Wendy S Post, Charles Kooperberg, Alexander P Reiner, Braxton D Mitchell, Sharon L R Kardia, Jennifer A Smith, Patricia A Peyser, Lawrence F Bielak, Dong Keon Yon, Hong-Hee Won, Donna K Arnett, Albert V Smith, Stacey B Gabriel, Patrick T Ellinor, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Pradeep Natarajan, Minxian Wang, Akl C Fahed

Faculty, Staff and Student Publications

Multiple germline and somatic genomic factors are associated with risk of coronary artery disease, but there is no single measure of risk that integrates all information from a DNA sample. To address this gap, we develop an integrated genomic model that includes six germline and somatic genetic drivers for coronary artery disease, including polygenic risk score, genetically-proxied proteomic/metabolomic risk scores, and clonal hematopoiesis of indeterminate potential. We evaluated its predictive power in the UK Biobank (N = 391,536), and validate it using data from the TOPMed program (N = 34,177). The 10-year coronary artery disease risk based on the integrated …

Nerandomilast In Progressive Pulmonary Fibrosis: Data From The Whole Follow-Up Period Of The Fibroneer-Ild Trial, Anna-Maria Hoffmann-Vold, Luca Richeldi, Claudia Valenzuela, Hui Gu, Ivana Ritter, Susanne Stowasser, Michael Kreuter

Faculty, Staff and Student Publications

Background: In the FIBRONEER-ILD trial in patients with progressive pulmonary fibrosis (PPF), nerandomilast 9 mg bid and 18 mg bid reduced the decline in forced vital capacity at week 52 compared with placebo (the primary endpoint). We assessed the effects of nerandomilast up to the final database lock.

Methods: Time to first acute exacerbation of ILD, hospitalisation for respiratory cause, or death (key secondary endpoint) and other time-to-event endpoints were assessed.

Results: 1176 patients, of whom 512 were taking background nintedanib, received nerandomilast or placebo. At final database lock, mean (sd) exposure to trial medication was 15.1 (5.7) months and …

20260326: Recommendations And Summaries, 1919-2000, Faculty Senate

Guides to University Archives

These items include materials from the office of Faculty Senate at Marshall University from 1919-2000. Items were received in the late 1990s/early 2000s and were processed in 2026. This collection includes notable materials from the Faculty Senate as a whole and includes faculty meeting minutes, recommendations, and summaries for the period (with some gaps).This is not an exhaustive list. Please download the finding aid for a full list of contents.

Multimerin1 And Not Galectin-8 Tempers Wnt Signaling To Promote Gastric Chief Cell Differentiation, Xiaobo Lin, Gabriel Nicolazzi, Xuemei Liu, Chinye Nwokolo, Yehiel Zick, José B Sáenz, Jeffrey W Brown

2020-Current year OA Pubs

Galectins are a family of proteins that bind galactose-containing glycans. One member, galectin-8, preferentially binds galactose that contains a terminal sulfate. Aberrant expression and secretion of sulfated glycosylation epitopes, such as 3'-Sulfo-Le

2026-03-26 Fep Checklist Revisal, Morehead State University. Faculty Senate.

Faculty Senate Records

A revisal of the FEP Checklist edited on March 26, 2026.

2026-03-26 Faculty Senate Meeting Minutes, Morehead State University. Faculty Senate.

Faculty Senate Records

Faculty Senate meeting minutes from March 26, 2026.

Flexible Pipes Use As Offshore Activity Noise Suppression System

Defensive Publications Series

Offshore activity can create significant noise pollution in the ocean. This can occur in offshore drilling but is prominent and severe in pile driving of offshore wind foundations.

A "bubble curtain" has been shown to be an effective solution in reducing noise from offshore activities. See BBC article "How bubble curtains protect porpoises from wind farm noise" for details and benefits of such an application.

By creating a porous flexible pipe, with on-bottom stability provides a step change over current perforated hoses. Methods for creating a porous pipe are detailed in attached sketch's

Regulatory Calendar-Driven Periodic Requalification Without Document Change Analysis, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for triggering employee requalification based on regulatory calendar expiration rather than document change detection, applicable to compliance domains where periodic recertification is mandated regardless of whether reference content has changed. Background Many compliance regimes mandate periodic employee retraining on fixed schedules: annual harassment training, biennial OSHA refresher courses, quarterly anti-money-laundering updates. These requirements are triggered by the passage of time, not by changes to authoritative documents. The approach described here manages requalification purely through calendar logic, with no document ingestion, versioning, or analysis of any kind. Technical Description The system maintains a regulatory_calendar table mapping each compliance …

Clickstream Behavioral Pattern Analysis For Employee Knowledge Gap Inference In Enterprise Software, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for detecting employee knowledge deficits by analyzing clickstream and workflow interaction patterns within enterprise software applications, without processing any natural language communications or administering formal assessments. Background Employees who lack knowledge in a particular area exhibit distinctive behavioral patterns when interacting with enterprise software: they dwell longer on form fields they are uncertain about, access help documentation more frequently, avoid features they do not understand, and show higher randomness in their navigation. These patterns are observable from standard UI event telemetry. Technical Description The system captures UI events from instrumented enterprise applications. Each event contains: timestamp, employee_id, …

Implicit Task Performance Signal Analysis For Employee Knowledge Gap Inference, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for detecting employee knowledge deficits from declining task-completion efficiency and elevated error rates in domain-specific workflows, without processing natural language communications or administering formal assessments. Background Employees who have knowledge gaps in a particular domain tend to complete tasks in that domain more slowly and with more errors over time. These implicit behavioral signals are available from standard enterprise system metrics but are not commonly used as inputs to knowledge management systems. The approach described here treats efficiency decline and error rate elevation as primary gap detection signals. Technical Description The system ingests task-completion metrics from enterprise …

Multi-Modal Signal Fusion Architecture For Employee Knowledge Gap Detection Across Heterogeneous Data Sources, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for detecting employee knowledge deficits by fusing gap signals from multiple independent data modalities, including voice transcripts, clickstream behavior, and learning management system interaction patterns, into a unified deficit determination. Background Any single data source for gap detection has blind spots. Natural language analysis misses employees who never ask questions. Clickstream analysis misses employees who work outside enterprise software. Assessment scores miss employees who test well but perform poorly. The approach described here combines multiple modalities to produce a more complete picture of employee competency. Technical Description The system integrates gap signals from three or more independent …

Behavioral Feature Vector Drift Detection For Post-Remediation Knowledge Deficit Recurrence Monitoring, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for detecting recurrence of previously remediated employee knowledge deficits. This publication describes an approach that uses behavioral feature vectors derived from user interaction patterns rather than semantic embeddings derived from natural language text. Background After an employee completes remediation for a knowledge deficit, organizations need to determine whether the same deficit comes back during subsequent work. One established approach compares dense semantic embeddings of text communications against stored vector fingerprints using cosine similarity. The approach described here operates on a fundamentally different input type: behavioral interaction patterns encoded as feature vectors, not semantic representations of language. Technical …

Shannon Entropy Workflow Analysis For Employee Knowledge Gap Inference, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for detecting employee knowledge deficits by analyzing the entropy of user interface interaction patterns during enterprise software workflows. Background Employees who lack knowledge in a particular area tend to exhibit uncertainty when performing related tasks in enterprise software. This uncertainty shows up as non-linear navigation, backtracking, excessive pausing, and frequent help-documentation access. The approach described here quantifies this uncertainty using information-theoretic entropy measurement rather than analyzing what the employee says or how they score on assessments. Technical Description The system instruments enterprise UI workflows by injecting event listeners that capture a continuous stream of discrete UI events. …

Hardware-Attested Assessment Execution In Trusted Execution Environments For Tamper-Evident Compliance Records, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for generating tamper-evident employee assessment records using hardware-enforced trusted execution environments, providing integrity guarantees at the silicon level rather than through application-layer state management. Background Regulated industries require proof that employee assessment records have not been altered. Application-layer approaches manage validity through state machines and cryptographic hash chains verified by the application itself. The approach described here moves the trust anchor to the hardware, using the processor's built-in security features to guarantee record integrity independently of any software. Technical Description The assessment execution environment runs inside a hardware-isolated enclave. Compatible hardware platforms include Intel TDX (Trust Domain …

Statistical Process Control With Cusum Charts For Post-Remediation Knowledge Deficit Recurrence Detection, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for monitoring whether previously remediated employee knowledge deficits recur, using cumulative sum control charts applied to operational performance metrics rather than semantic embedding similarity. Background After remediation, organizations need to detect whether the same deficit returns. One approach stores vector embeddings and computes cosine similarity against incoming communications. The approach described here treats the employee's performance as a continuous signal and applies statistical process control methods borrowed from industrial quality management to detect shifts. Technical Description When a knowledge gap is marked as remediated, a snapshot service records the employee's relevant KPI baselines into a remediation_snapshot record …

Admin-Configured Role Template Task Mapping For Document-Change-Triggered Requalification, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for targeting employee requalification after document changes using administrator-configured role templates that map tasks to document sections, rather than automatically generated assessment-to-section attribution records. Background Organizations define roles as collections of tasks, each requiring knowledge of specific document sections. When documents change, the question is which employees need retraining on which tasks. The approach described here uses the existing admin-configured role structure as the targeting mechanism. Technical Description Administrators define role templates in a role_templates configuration table. Each entry contains: role_template_id, task_id, doc_id, and section_id. A single role template may contain dozens of task entries, each mapped …

Comparative Quiz Score Regression For Document-Change-Triggered Employee Requalification, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for identifying which employees require requalification after authoritative document updates by administering updated assessments and comparing scores against historical performance, rather than tracing document changes to employees through section-level attribution records. Background When a reference document is updated, one approach maps the changes to the specific document sections each employee was previously assessed on, then targets requalification to only those employees whose assessments covered changed sections. The approach described here takes a different path entirely: instead of analyzing what changed in the document and tracing it back to employees, it generates a new assessment from the updated …

Petri Net Conformance Checking For Knowledge Gap Detection From Enterprise Workflow Event Logs, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for detecting employee knowledge deficits by analyzing conformance deviations between employee process execution patterns and expert-derived reference process models, using process mining algorithms on structured workflow event logs. Background Enterprise workflow systems generate detailed event logs recording every step an employee takes in a business process. When an employee repeatedly deviates from the expected process (skipping steps, adding unnecessary steps, executing steps out of order), this pattern can indicate a knowledge deficit in the underlying domain. The approach described here applies industrial process mining techniques to detect these deviations and attribute them to specific knowledge domains. Technical …

Workflow Step Authorization Mapping For Sop-Change-Triggered Employee Requalification, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for identifying which employees require requalification when standard operating procedures are updated, using workflow step definitions and employee authorization records as the primary lookup mechanism. Background In regulated environments, business workflows are modeled as sequences of steps, with each step linked to specific sections of standard operating procedures. When an SOP is revised, the challenge is identifying precisely which employees are affected. The approach described here uses the existing workflow-step-to-SOP configuration and employee authorization tables as the targeting mechanism. Technical Description The system maintains a workflow_definitions store where each business process (change control, incident management, CAPA execution, …

Graph Neural Network Structural Skill Gap Prediction Via Link Prediction On Employee-Skill-Task Graphs, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for predicting employee knowledge deficits by analyzing the structural topology of an organizational skill dependency graph using graph neural networks. Background Traditional approaches to detecting employee knowledge gaps rely on analyzing what employees say (natural language processing) or how they score on assessments (threshold comparison). The approach described here predicts gaps from the structure of relationships between employees, skills, and tasks without processing any communications or administering any assessments. Technical Description The system constructs a multi-partite graph with three node types: employee nodes E, skill nodes S, and task nodes T. Edges connect employees to skills they …

Knowledge Dependency Graph Traversal For Document-Change-Triggered Employee Requalification, Kenneth Davis

Defensive Publications Series

Field Computer-implemented systems for determining which employees require requalification when authoritative reference documents are updated. This publication describes an approach that uses a knowledge dependency graph rather than section-level source-attribution records with reverse-index traversal. Background When a reference document changes, organizations need to identify which employees must be retrained and on what content specifically. One approach maintains per-assessment source-attribution records binding each employee's assessment to the specific document sections tested, then performs a reverse lookup when sections change. The approach described here uses a separate knowledge graph that abstracts documents into atomic concepts with dependency relationships. Technical Description The system …

Integrated Aperiodic Geometric Stabilization For Soft-Robotic Actuation And Kinetic Damping Lattices., Daniel Schramm

Defensive Publications Series

This disclosure establishes the foundational math for high-precision, low-energy soft robotics and protective apparel. By utilizing the Golden Ratio (\phi) as a rotational and structural constant, we eliminate the "Pinch Factor" (mechanical resonance) and enable near-total energy recovery (92%+) in dynamic systems.

Core Technical Pillars:

1. Aperiodic Joint Articulation: Robotic joints and suit hinges are tuned to a non-integer frequency (f_1 = \omega, f_2 = \omega \cdot \phi). This prevents constructive wave interference, ensuring fluid motion without "dead zones" or "locking."

2. Kinetic Waste Harvesting: Using the Tractor Gradient Identity F = \nabla (\mathbf{m} \cdot \mathbf{B}), the system converts deceleration …

Kinetic Waste Recovery Via Induced Dipole Moment Gradients, Daniel Schramm

Defensive Publications Series

This disclosure specifies a method for capturing and recycling kinetic and electromagnetic waste energy in high-energy plasma environments. By utilizing a controlled magnetic field gradient and the induced dipole moment of ionized exhaust or ambient particles, the system generates a restorative force (F_{tractor}) that stabilizes the propulsion core and feeds recovered energy back into the primary power lattice. This "Tractor Beam" mechanism ensures that energy normally lost to entropy is instead used for system stabilization and ionic shield reinforcement.

2. KEYWORDS

Induced Dipole Moment Gradient; Kinetic Waste Recovery; Tractor Beam Propulsion Stabilization; Magnetic Gradient Force; Energy Recycling Lattice; STALWART Energy …