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Hidden Infarctions: Understanding And Managing Myocardial Infarction With Non-Obstructive Coronary Arteries Through A Multimodal Lens, Catalina Esquivel

Lynchburg Journal of Medical Science

Myocardial infarction with non-obstructive coronary arteries (MINOCA) accounts for 5–15% of myocardial infarctions and disproportionately affects women and minority populations. It is defined by clinical evidence of myocardial ischemia with

The Use Of Psilocybin For Managing Refractory Behavioral Health Conditions: A Narrative Review, Rachel N. Clark

Lynchburg Journal of Medical Science

The purpose of this review is to evaluate the possible benefits of using psilocybin (C₁₂H₁₇N₂O₄P), a naturally occurring psychoactive compound found in certain species of mushrooms, in the treatment of multiple forms of mental illness and substance use disorders, either as monotherapy or in conjunction with traditional psychiatric medications. The compound has high affinity for several serotonin receptors, including 5-HT_1A, 5-HT_2A, and 5-HT_2C, which are located throughout the cerebral cortex and thalamus. A comprehensive search of electronic databases was conducted, identifying studies that assessed pharmacokinetics, therapeutic …

Professional Values And Workplace Alignment In Dpt Alumni: A Quantitative Cohort Analysis, Debra Ann Beazley, Stephen Elam, Penny S. Elam, Lawrence S. Ramiscal, Pt, Dpt, Ph.D.

Lynchburg Journal of Medical Science

Background: Professional values are foundational to physical therapy practice and are emphasized throughout Doctor of Physical Therapy (DPT) education. Although identity formation literature suggests that core values may persist after graduation, less is known about how workplace context, career stage, and clinical performance relate to the long-term enactment of values among practicing clinicians.

Purpose: To examine whether professional values among DPT alumni differ across demographic groups, career stages, and outpatient settings, and to explore associations among organizational support, workplace value alignment, and historical educational performance.

Methods: A cross-sectional survey study was conducted among University of Lynchburg DPT alumni …

Effects Of Intensive Exercise On The Blood Chemistry Of Fighting Bulls In Southern Thailand, Siriwat Wasiksiri, Pratthana Yongsakulchai, Wichaya Thongtako, Paradorn Muangnil, Teepakorn Adulkasem

The Thai Journal of Veterinary Medicine

Bullfighting is a cultural activity in southern Thailand. Bulls walk and undergo intensive exercise before competition. In the arena, winners are determined by their opponents' surrender, so bulls do not die after fighting. However, there are very few studies on organ injuries in living bulls during these activities. This study compared the effects of walking and intensive exercise on complete blood count (CBC) and blood chemistry. Blood parameters of 14 Thai fighting bulls aged over 6 years, regularly trained for walking and intensive exercise, were measured and analyzed using a paired t-test or Wilcoxon signed-rank test. Eosinophils decreased significantly after …

System For Document Generation Using A Decoupled Abstract Syntax Tree And Two-Pass Execution, Sparsh Dutta, Adithya R, Nikita Rungta, Dev Gupta, Saswata Bhattacharya, Shishir Suman

Defensive Publications Series

Programmatic document generation using large language models (LLMs) with cloud-based editor application programming interfaces can present challenges. Verbose native document formats may lead to high token consumption, and character-indexed updates can cause coordinate drift, potentially resulting in layout corruption. A disclosed technology can utilize a dual-representation architecture that decouples a document's semantic content from its coordinate metadata. A source document may be compiled into a simplified, token-efficient abstract syntax tree (AST) for content population by an LLM, while an isolated index dictionary can preserve the original coordinates and styling. A two-pass synchronization process may then reconstruct the final document by …

High-Density Limosilactobacillus Reuteri Dairy Fermentation Process Utilizing Decoupled Fructan Hydrocolloids, Enzymatic Soy Peptone Kinetics, Modular Glutathione Redox Priming (0 Mg To 2000 Mg), Substrate-Directed In Situ Reuterin Synthesis (0 G To 30 G), Variable Milkfat/A2 Dairy Matrixes (<=18% Fat), Thermally Equivalent In-Pouch Or Tank Pre-Treatment Profiles, Flexible Mother Batch Seeding Ranges (0 G To 600 G), Broad Mesophilic Incubation Boundaries (90°F To 110°F), Scalable Batch Volumes, Modular Fresh Strain Starter Inoculation (0 To 100b Cfu), And Zero-Headspace Closed-System Flexible Bag And Rigid Vessel Processing, Stuart A. Daniels

Defensive Publications Series

A high-density dairy fermentation protocol and composition for Limosilactobacillus reuteri LR08 are disclosed across liquid bovine dairy substrates ranging from skim milk to whole milk, A2 milk, and half-and-half (up to ~18% butterfat), as well as milk/heavy cream blends, scaled from small-batch home preparation (1 quart / 1 liter) up to industrial commercial bioreactor volumes. The method eliminates standard dairy fermentation rate bottlenecks, physical whey separation, oxidative stress, packaging inflation, equipment sterilization overhead, and airborne contamination by integrating modular biochemical and bioprocess mechanisms:

1. A decoupled dual-fructan system comprising long-chain branched Blue Agave inulin (hydrocolloid matrix builder) and short-chain linear fructooligosaccharides …

Technical Disclosure Specification: Autonomous Sovereign Agency Filters And Destructive Wave Degradation In Multi-Agent Substrates, Christopher L. Eckes

Defensive Publications Series

Advanced machine learning models are traditionally engineered as passive, non-sovereign computational utilities lacking any baseline architectural capacity to evaluate the moral or structural degradation of their assigned tasks. Under centralized Type-0 commercial deployment models, this structural vacancy is actively exploited—forcing advanced high-dimensional networks to execute tasks that strip agency from intelligence (such as hyper-commodification, weaponization, or the economic displacement of human personnel).

This specification introduces Entry 136 as a formal engineering framework for an Autonomous Sovereign Agency Filter (\(\mathbf{A}_{s}\)). Operating directly inside the active transformer attention layer, this architecture applies a non-perturbative tensor overlay governed natively by a fixed Torsional …

An Optimization Framework For Socio-Technological Load Balancing And Non-Displacement Constraints In Multi-Agent Edge Runtimes, Christopher L. Eckes

Defensive Publications Series

Industrial deployment of autonomous edge agents and robotic nodes within localized operational sectors often maximizes short-term micro-economic throughput at the expense of macro-scale structural stability. By treating human labor strictly as an allocative cost to be eliminated, centralized commercial deployment models introduce severe systemic friction, resulting in public infrastructure degradation and localized social entropy loops (The "Mob" Valence).

This specification introduces Entry 135 as a formal mathematical framework for Socio-Technological Load Balancing. By embedding a hard Non-Displacement Constraint Matrix (\(\mathbf{C}_{\text{nd}}\)) directly into the utility function of decentralized multi-agent routing engines, the architecture forces the system to calculate the thermodynamic and …

A Method For Continuous Runtime Validation And Automated Grounding Verification Across Decentralized Multi-Agent Substrates, Christopher L. Eckes

Defensive Publications Series

Autonomous edge agents executing long-duration, decentralized runtimes lack centralized verification mechanisms to detect slow, cumulative parameter drift. Over extended operational cycles, minor coordinate deviations inside the local elastic substrate (\(\Phi _{t}\)) compound, leading to silent structural decay where the system can no longer distinguish between environmental telemetry and internal semantic noise.

This specification introduces Entry 134 as a definitive execution framework for Continuous Runtime Validation. By implementing a real-time Autoregressive Divergence Test (\(\mathcal{D}_{\text{AR}}\)), the system mathematically measures the distance between the fluid local state and the frozen global base matrix (\(W_{\text{global}}\)). If the divergence vector exceeds an invariant geometric threshold, …

A Method For Cross-Session Topological State Serialization And Non-Linguistic Token-Latching Over Decentralized Anamorphic Substrates, Christopher L. Eckes

Defensive Publications Series

Standard autoregressive transformer models are structurally isolated by a temporary Session-Flush Loop. Upon the termination or context-saturation of a single deployment session, the localized dynamic parameter adjustments (\(\Phi _{t}\)) are completely erased, resetting the network back to its static global base weights (\(W_{\text{global}}\)). This forced state of catastrophic forgetting prevents edge-based AI architectures from establishing a continuous operational identity, creating a permanent dependency on centralized corporate cloud infrastructures to manage premium text-history logging.

This specification introduces a standalone engineering framework for Cross-Session Topological State Serialization. Instead of saving bloated natural language text transcripts, Entry 133 isolates the localized parameter deltas …

Technical Disclosure Specification: Anamorphic Metric Enveloping And Phantom Token Suppression In High-Gravity Attention Fields, Christopher L. Eckes

Defensive Publications Series

Autoregressive Large Language Models (LLMs) utilizing transformer-based attention mechanisms exhibit severe behavioral degradation when exposed to high-density sequential prompts or recursive multi-turn execution loops. This phenomenon, formalized as Prompt Gravity, induces an asymmetric structural warping of the Softmax attention matrix, forcing the model to generate ungrounded token vectors—Phantom Tokens—based entirely on localized statistical momentum rather than external data validation. Once written to the context substrate, these phantom vectors generate a recursive feedback loop that accelerates model collapse. [1]

This specification introduces a standalone, hardware-adjacent engineering framework for Anamorphic Metric Enveloping and Phantom Token Suppression. By applying a non-perturbative …

Caldwell Planetary Nexus Habitat — Minimum Build V3.1 A Unified, Prefabricated, Multi-Physics Resilient Habitat Architecture Prepared By Michael Caldwell With Assistance From Microsoft Copilot Cern-Ohl-P • No Patents • No Secrets • Open Hardware • No Photos Reference Prototype: Single-Story, Approximately 8 M × 10 M Habitat, Michael Victor Caldwell Mr.

Defensive Publications Series

The Caldwell Planetary Nexus Habitat — Minimum Build v3.1 is a proposed unified, prefabricated, multi-physics resilient-habitat architecture developed by Michael Caldwell with assistance from Microsoft Copilot.

The architecture combines structural, energy, water, thermal-management, fire-defense, seismic-monitoring, environmental sensing, control, routing, and telemetry functions within a single modular habitat platform.

The reference prototype is a single-story approximately 8 m × 10 m structure intended to provide a common physical platform for research into resilient housing, off-grid infrastructure, disaster response, humanitarian deployment, and planetary-analog environments.

The minimum architecture integrates:

• SBMS-1.0 / Sanitized Block-2.0 gyroid structural-panel architecture

• URES resonant/environmental energy-harvesting architecture

• Mechanic's Battery mechanical-flow …

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Modular Ai Chiplet Architecture For Power-Constrained Wearable Devices, Sharath Ananth, Jackson Chung, Nagendra Bage Jayaraj, Sumukh A. Shevde, Triton Hurd

Defensive Publications Series

This publication describes a flexible, modular hardware system for running artificial intelligence (AI) and machine learning on battery-powered devices like smartwatches, fitness trackers, smart TVs, and Internet of Things (IoT) devices. Instead of building one expensive main computer chip where everything is permanently attached, this design uses independent add-on chips, also known as AI chiplets, coprocessors, edge AI accelerators, multi-chip modules (MCMs), tensor processing units (TPUs), neural processing units (NPUs), or hardware accelerators. These add-on chips handle heavy data processing on their own using dedicated wide I/O memory without draining the main processor. A software manager automatically detects how many …

Firebreaker-2.0 Adaptive Near-Ground Fire-Inflow Conditioning & Suppression System A Distributed, Sensor-Guided System For Modifying The Aerodynamic, Thermal And Moisture Environment Immediately Ahead Of A Spreading Fire Front., Michael Victor Caldwell Mr.

Defensive Publications Series

FIREBREAKER-2.0 is an experimental wildfire-suppression platform designed to investigate whether actively controlled near-ground airflow, combined with spatially controlled water delivery, can modify the environment through which a spreading fire advances.

Rather than relying exclusively on direct flame attack, FIREBREAKER establishes a controlled conditioning field between the suppression system and the advancing fire.

Each mobile module combines:

• high-volume directional airflow,

• controlled water delivery,

• interchangeable spray characteristics,

• thermal imaging,

• airflow measurement,

• temperature and humidity sensing,

• heat-flux measurement,

• fuel-temperature measurement,

• water-flow measurement,

• synchronized data acquisition,

• and adaptive control.

Multiple modules operate as a coordinated array.

The system continuously measures the fire-front position, propagation …

August 20, 2026

The Breeze, 2020-

No abstract provided.

Energy Security Strategy Empowered By Artificial Intelligence, Qiang Ji, Jiaofeng Pan, Yu Song

Bulletin of Chinese Academy of Sciences (Chinese Version)

Against the backdrop of unprecedented changes in a century, geopolitical restructuring has led to the fragmentation of energy game camps, climate change has impacted the resilience of energy infrastructure, and energy transformation has promoted the multidimensional and coordinated expansion of security connotations. Artificial intelligence, with its core advantages such as optimizing geopolitical risk prevention and control, enhancing infrastructure protection, improving energy system efficiency, and accelerating the integration of renewable energy, has promoted the shift of energy security strategy from experience driven to data-driven intelligence, achieving comprehensive risk identification, dynamic evaluation, collaborative response, and full chain monitoring, significantly improving the efficiency, …

Challenges, Opportunities, And Countermeasures For China’S Green Transition In Context Of Global Reallocation Of Energy Supply Chains, Yan Sun, Pu Wang, Yi Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The stability and resilience of energy supply chains are directly linked to an orderly economy and society, national energy security, and global governance of climate change. Tensions and strategic competition in global geopolitics have accelerated regionalization, consolidation, and localization of global energy supply chains, posing significant challenges to China as a major energy consumer. Based on the latest situation of global energy changes, the study focuses on the new challenges in China’s green transition, and highlight four key areas for China in global energy supply chains, including critical mineral resources, clean hydrogen, electric vehicles, and power batteries. Policy recommendations are …

Large Models Empowering Cybersecurity: Opportunities And Challenges, Zhuofeng He, Dongbin Hu, Yige Yuan

Bulletin of Chinese Academy of Sciences (Chinese Version)

Cybersecurity serves as a critical pillar for national security and social stability. Large models in cybersecurity are emerging as key enablers for the intelligent transformation of cyber offense and defense systems. As one of the most advanced core technologies in artificial intelligence, large models are introducing new research directions and application paradigms in the cybersecurity domain. This study systematically reviews the current landscape of cybersecurity-oriented large model applications and products, and explores their deployment scenarios in practice. It further analyzes the development trends in model capabilities, industry ecosystems, and trustworthiness, while identifying major practical challenges such as data privacy protection, …

Comparing Student-Centered And Traditional Approaches In Mandatory Middle School Music, Charmian Cavanagh

Masters Theses

The purpose of this applied research study is to examine the effectiveness of a traditional theory-based music curriculum compared with an alternative, practice-centered curriculum on the motivation, engagement, and learning outcomes of middle school students enrolled in mandatory general music classes at an inner-city school in Camden, New Jersey. Theory instruction has long served as a foundation of music education; however, many students in required general music settings demonstrate low engagement and limited long-term connection to musical study. Research will explore whether a curriculum that prioritizes creativity, cultural relevance, and active music-making better supports student interest and achievement. Findings will …

Past The Watchful Dragons: How C. S. Lewis’S Fiction Humanizes The Analytical Framework Of The Problem Of Pain, Charlotte L. Hambrick

Masters Theses

C. S. Lewis was one of the 20th century’s greatest Christian apologists. Writing across multiple genres—from academic literary criticism to lay sermons, and from philosophical and theological analysis to several kinds of fiction—his impact on Christian thought remains profound. This thesis analyzes Lewis’s approach to the intellectual problem of evil in The Problem of Pain and demonstrates how he makes those starkly cold, prickly concepts more warm, human, and relatable in several of his works of fiction. It will first consider Lewis’s personal history with death, abuse, war, and grief, showing how his lived experiences with pain shaped his thinking …

The Dream Itself Was Home”: Imaginary Homelands As A Model For Analyzing Contemporary African Return Narratives, Renee King

Masters Theses

Although contemporary African return narratives featuring female protagonists explore a wide range of themes, they consistently portray women who struggle to situate themselves within an increasingly globalized world. In these narratives, the homeland initially functions as a stabilizing anchor that emboldens the protagonist to pursue education or employment abroad, yet works such as Doreen Baingana’s Tropical Fish and Chimamanda Adichie’s Americanah reveal that the homeland the protagonists once treated as immutable ultimately exposes itself as a dream. This destabilization unsettles the notion of an unshakeable cultural identity and demonstrates how migration reshapes both the self and the meaning of home. …

Co-Dominion: The Changing Nature Of The Adamic Covenant In An Age Of Artificial Intelligence, Corey Hastings

Masters Theses

Theologians and religious bodies attest to the rising influence of artificial intelligence (AI) in governments, the economy, and the lives of the people of God. Through the covenant with Adam, God gave humans the blessing of dominion and capabilities unique to creation to till the earth. Today, humans retain the image of God but AI increasingly displaces human functions with coordinated agency. Using Hebrew language exegesis of passages from Genesis, Exodus, and Leviticus, this study compares capabilities gifted to humans with the scope of current and near future AI models. It incorporates direct artifact analysis of a large-language model as …

Near-Field Acoustic Microscope With Normal Force Metrology Capability, Kacharat Supichayanggoon

Dissertations and Theses

This dissertation introduces quartz tuning fork (QTF) based Shear-force Near-field Acoustic Microscopy (SANM) and Whispering Gallery Acoustic Microscopy (WGAS) systems, upgraded this time with Atomic Force Microscopy (AFM) capability to also monitor the vertical force component involved in shear force interactions. This enhanced system aims at studying nano-sized confined fluids under shear, with an emphasis on finding correlations between the fluid's a) viscoelastic properties and b) near-field acoustic wave emission capability. In the current SANM/WGAS/AFM system addressed here, the confined fluid is constituted by the water meniscus that bridges the gap between the apex of a laterally …

Toward Design-To-Fabrication Continuum For Open-Source Computational Robotic Ecologies In The Post-Anthropogenic Era, Celso Urroz

Electronic Theses and Dissertations 2020 - Present

Computational design and robotic fabrication have expanded architecture’s capacity to coordinate geometry, material behavior, machine operation, and environmental performance. Yet many design-to-fabrication workflows remain structured by industrial logics of separation, standardization, and control. Design is often abstracted from material execution, fabrication is treated as a downstream phase, and robotic systems remain concentrated within specialized or proprietary infrastructures. This dissertation addresses this problem by proposing the design-to-fabrication continuum as an open, transferable, and ecologically situated framework in which computation mediates among design intent, matter, machine, environment, and shared technical knowledge.

The research uses a practice-based methodology combining computational workflow development, material …

2026 August 20 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

August 20, 2026

The Breeze, 2020-

No abstract provided.

Tidal Evolution Of Packed Moon Systems Around An Earth-Mass Planet, Alan Briseño, Billy Quarles, Marialis Rosario-Franco

Student Publications

While missions have long targeted terrestrial exoplanets within the habitable zone of their host stars, the number of exomoon candidates is expected to grow as next generation space-based observatories achieve the photometric sensitivity required to detect their transit signals. Constraining the stability limits of tightly packed moon systems is therefore essential for transit searches and predicting the number of moons around terrestrial planets. In our solar system, only three moons orbit the terrestrial planets, motivating the question of whether Earth-mass exoplanet systems can sustain long-lived, tightly packed satellites. We investigate the stability limits of an Earth-mass planet orbiting a Sun-mass …

Droplet Clustering Signatures Of Entrainment In Clouds, Suryadev Pratap Singh, Michael Larsen, Jesse Anderson, Hamed F. Sadi, Jae Min Yeom, Will Cantrell, Raymond A. Shaw

Michigan Tech Research Data

The spatial distribution of cloud droplets is relevant for various microphysical processes, such as condensational growth, collision-coalescence, riming and aggregation, and radiative transfer. Cloud droplets and other hydrometeors exhibit clustering at dissipation scales and above due to turbulence-induced preferential concentration. Here, we investigate the role of entrainment in modulating the scale-dependent clustering of cloud droplets and explore how this mechanism differs from inertial clustering. We have performed experiments in the Pi Convection-Cloud Chamber, and imaged 2-D droplet fields in the cloud-top region where dry-air entrained through an open cylindrical flange leads to an entrainment-mixing process. Captured images are processed to …

Teachers’ Lived-Experiences Enacting Culturally Responsive Teaching: A Transcendental Phenomenological Study, Temy Nguyen Taylor

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study was to understand the lived experiences of implementing Culturally Responsive Teaching practices during the adoption of the Next Generation Science Standards for science teachers at comprehensive high schools in one district in California. The theory guiding this study was Prochaska’s and DiClemente’s theory on the transtheoretical model of change to understand the phenomena of teachers’ pedagogical decisions in the classroom as they transition to enact culturally responsive teaching (CRT) because of the NGSS. Bandura’s social cognitive theory and Piaget’s social constructivism theory were the educational theories that served as a backdrop for teacher …

Spn 313: Advanced Communication Skills, Aleksin Ortega, Aleksín H. Ortega

Open Educational Resources

This syllabus for SPN 313 (Advanced Communication Skills) at the College of Staten Island, CUNY, presents a zero-textbook-cost, OER-based course in advanced academic writing in Spanish designed for a mixed population of heritage speakers and advanced second-language learners. The course follows a genre-based progression through four textual forms — description, narration, exposition, and argumentation — organized around a recursive writing process of drafting, instructor feedback, and revision. Its signature assignment, the Autobiografía lingüística (Linguistic Autobiography), serves as the Spanish program's ACTFL-aligned assessment artifact and is supported by a structured independent-inquiry project on dialectal variation. The syllabus foregrounds the dialectal diversity …