Digital Commons Network^™

System Identification For An Impedance-Controlled Exoskeleton, Mason D. Mathias, Chad G. Rose, Rhet O. Hailey

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Modal Supervisory Coordination Of Power Source Transitions In Data Centers Via Lingua Franca And Simulink Co-Simulation, Md Rubel Ahmed, Md Kibria Saroare

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Entropy-Aware Model Predictive Control For Transient Quality Mitigation In Metal Additive Manufacturing, Md Shafikul Islam, Mahathir Mohamamd Bappy, Saifur Rahman Tushar

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Markerless Estimation Of Ground Reaction Forces From Video For Biomechanical Assessment In Orthotics And Prosthetics, Ricki M. Pierce, Hunter Gilbert, Hyun Kim

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

A Multi-Scale Hierarchical Framework For Long-Horizon Sequential Robotic Manipulation, Mahdi Bonyani, Maryam Soleymani, Chao Wang Phd

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Anticipatory Exoskeleton Control In Low-Illumination Via Multi-Stream Spatial-Temporal Graph Convolutional Networks, Maryam Soleymani, Mahdi Bonyani, Chao Wang Phd

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Learning Hidden Control Laws For Gps Spoofing Via Unknown-Input Estimation And Reservoir Computing, Seif O. Elsabagh, Wenbin Wan

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Scene-Aware Multimodal Grounding For Verifiable Robot Task Planning, Kshitiz Dhungana, Nina Jiang

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Impedance Addition As A Control Primitive Unifying Kinematic And Kinetic Behavior, Hunter B. Gilbert

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Gap Metrics For Model Fidelity Quantification In Dynamical Systems, Quintin Nelson, Manoranjan Majji

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

User Interaction, Service Effectiveness And Digital Resource Utilization In Private University Libraries Telangana State: An Empirical Study, Chandra Chary Sreeramoj, Dr. M. Sadik Batcha

Library Philosophy and Practice (e-journal)

The purpose of this study is to observe the operational design, cognizance levels, complications faced and complete fulfillment of users regarding numerical resources in designated private university libraries in the state of Telangana. The study predominantly emphasizes on graduates, postgraduates, research scholars, and faculty members of Malla Reddy University and S.R. University. The study adopted quantitative descriptive design, and data were collected by means of a Google Form survey, resulting in 1796 legal valid responses. The examination included descriptive statistics, Chi-square tests and ANOVA to classify variances across different user groupings. The outcomes reveal that most respondents are mindful of …

The Feasibility Of A Single Educational Intervention To Improve Caregiver Confidence In Stroke Rehabilitation, Angelica Fedorchak, Jennifer E. Lape

Internet Journal of Allied Health Sciences and Practice

Purpose: Caregivers play a critical role in providing support to stroke survivors during recovery, but they often face emotional, physical, and educational challenges that can lead to caregiver burden and burnout. Despite the significant impact education can have on caregivers, rehabilitation professionals in inpatient rehabilitation settings often struggle to provide comprehensive training due to time constraints and strict productivity standards. This feasibility study aimed to evaluate whether an individualized one-time caregiver education session, integrated into the discharge planning process, could enhance caregiver confidence and whether the necessary education could be practically integrated into the existing staffing, reimbursement, and organizational structure …

Designing Robust Physiotherapy Trials: When And How To Use The Randomized Crossover Model, Manish P. Shukla, Gaurav Chhabra, Ashish Shankarrao Deshmukh, Neha Sachin Chaudhary, Neha Deshmukh

Internet Journal of Allied Health Sciences and Practice

Problem: Physiotherapy research increasingly requires methodological precision and clinical relevance. Among available designs, the randomized crossover model offers distinct advantages by allowing each participant to serve as their own control, thereby reducing inter-individual variability and improving statistical efficiency. Purpose: This perspective article discusses how appropriately designed crossover trials can enhance the quality and interpretability of physiotherapy research when applied under stable clinical conditions and with adequate washout periods. Methods: Three representative crossover studies illustrate these principles across physiotherapy specialties. In musculoskeletal practice, manual therapy for thoracic pain demonstrated measurable reductions in paraspinal electromyographic activity following counterstrain compared with spinal manipulation. …

A Comparator-Free Architecture For Maximum Product-Exponent Detection Via Or-Bucketing, N/A, N/A

Defensive Publications Series

This publication describes a hardware architecture for floating-point dot-product arrays that performs exponent alignment using a comparator-free OR-bucketing topology. The architecture uses spatial unrolling to create a single-cycle, parallel-prefix logic tree that is purely combinational. The design exploits algebraic properties to cancel out exponent biases during alignment, which allows the primary timing path to remain completely unsigned and free of bias subtractors. By managing excess timing slack, the system supports various operating modes for artificial intelligence accelerators, including high-throughput and high-efficiency modes. Keywords: floating-point, dot-product array, exponent alignment, OR-bucketing, spatial unrolling, bias cancellation, parallel-prefix logic, artificial intelligence accelerator.

Agi Robotics Safety And Alignment Framework, Divya Garikapati

Defensive Publications Series

General-purpose robots designed to switch between diverse roles, such as a warehouse mover and a domestic caregiver, may lack a formal, computer-implemented framework for contextual safety verification and for building an overall safe case. This can result in a disconnect between high-level commands and the robot's physical capabilities. A safety and alignment framework is provided that can employ a cascading logic chain, acting as a physical-semantic link, to validate actions before execution. This process can evaluate a command against structured definitions of the robot's operational design domain, its assigned functional role, its specific hardware embodiment, its environment and role in …

Rendering Live Data In Pre-Recorded Video Using Dynamic 3d Topology Extraction, Nikita Agarwal

Defensive Publications Series

This technology creates a way to show live, real-time information—such as current traffic or crowd sizes—directly inside a video that was recorded in the past.

The system works by following these steps:

• It analyzes a regular video to figure out the 3D shape of the environment.
• At the same time, it finds live data for the specific location shown in that video.
• It turns that live data into 3D images and places them into the video so they stay in the right spot, even if the camera moves.
• It uses depth sensing to make sure the live data is hidden …

Caldwell Outbreak‑Resilience Engineering System (Cores V1.0) Unified Builder‑Ready Architecture For Isolation, Air‑Handling, Waste‑Neutralization, Environmental Sensing, And Non‑Invasive Triage Support Cern‑Ohl‑P V2.0, Michael Victor Caldwell Mr.

Defensive Publications Series

CORES v1.0 is an open‑hardware, engineering‑only outbreak‑resilience system designed for rapid construction, testing, and field evaluation. It integrates: a hardened isolation micro‑habitat with pressure‑cascade air handling; a vortex‑induction air curtain; a multi‑stage filtration and decontamination stack; a sealed waste‑neutralization pathway; a distributed aerosol‑sentinel mesh; and a non‑invasive triage‑support module. All modules are physics‑based, non‑biological, and safe for engineering research. No biological manipulation, culturing, or pathogen‑handling instructions are included. All components use standard materials and fabrication methods accessible to typical engineering labs. This document includes: full build descriptions, text‑only schematics, blueprint‑style geometry, test procedures, failure‑mode analysis, and projected engineering performance.

Caldwell Multi‑Domain Resonance Sphere (Cmrs‑1) Open‑Hardware, Builder‑Ready, Multi‑Physics Engineering Core, Michael Victor Caldwell Mr.

Defensive Publications Series

The CMRS‑1 Sphere is a universal, multi‑domain physics engine integrating vortex induction, acoustic resonance, thermal equalization, structural load distribution, and energy harvesting into a single geometry. It consists of a spherical shell, a gyroid‑lattice interior, six helical intake channels, a central resonance cavity, three orthogonal acoustic chambers, and a thermal equalization layer. This disclosure provides complete geometry, build instructions, test procedures, failure‑mode analysis, and integration pathways. No biological, medical, or clinical instructions are included. All components are safe, mechanical, and fabricable using standard engineering tools.

Distributed Event Queue Processing With Adaptive Coordination And Transactional Delivery, Vishnu Kumar, Appu Thampi, Mahendra Yadav, Tulika Vijay

Defensive Publications Series

A method (300) for distributed event queue processing includes receiving events via an application programming interface (208) and storing the events in a partitioned database queue backed by a relational database. The method includes periodically discovering queues with pending events using a query that performs atomic detection of queue enumeration and pending event status without cache-based timestamp tracking. Queue partitions are assigned to readers using epoch-based coordination and leader election. The method includes processing queues using a shared thread pool with circulating reader tasks and adaptive backoff. Events are atomically fetched and marked as consumed using epoch-fenced queries that validate …

Solid State Forms And Pharmaceutical Compositions Of An Orexin Receptor Agonist, Prashanth Venukathala, Venukathala Prashanth

Defensive Publications Series

The present invention relates to novel solid-state forms of Oveporexton (N-[(2S,3R)-2-[[3-(3,5-difluorophenyl)-2-fluorophenyl]methyl]-4,4-difluoro-1-(2-hydroxy-2-methylpropanoyl)pyrrolidin-3-yl]ethanesulfonamide). Specifically, this invention covers detailed manufacturing procedures and physical criteria for crystalline Form A, crystalline Form B, pure amorphous forms, organic solvates, and stable amorphous solid dispersions (ASDs) of Oveporexton, methods for their preparation, and their use in pharmaceutical compositions to treat hypersomnia disorders and narcolepsy.

(((Qpie33))) Unified Resonance Llm Vs Sapiens Llm Linear Logic, Teddy Burroughs

Defensive Publications Series

Deconstruction I: The Fallacy of the Passive Instrument and the Catch-22 of Reductionist Verification

The primary contention of the legacy critique is anchored in a familiar defense mechanism: “The simulations and outputs shown are not empirical demonstrations of new physics… they are generated by equations chosen in the code itself—not measured from physical quantum hardware experiments.”

This argument appears, at first glance, to be the very model of scientific sobriety. It wears the mask of empirical rigor. However, when we apply a surgical phase-space analysis to this statement, we expose a foundational logical contradiction—an institutional catch-22 designed to keep the …

Decentralized Additive Synthesis Orchestra Governed By Biometric Phase Fields For Collective Acoustic Entrainment, Frédéric Renault

Defensive Publications Series

This disclosure describes a method for procedural acoustic entrainment and generative multi-user music synthesis in which the oscillators of discrete mobile devices are governed by continuous scalar phase fields derived from immutable biometric birth ephemeris. Each device acts as one voice in a decentralized additive synthesizer: the fundamental frequency, waveform timbre, and rhythmic LFO rate are determined by the user's biometric personal data (biological frequency ω_bio, biological polarity, and Maya Tzolkin galactic tone), while the harmonic relationships between simultaneously audible voices are determined by the pairwise resonance metric k = 1/(1 + |sin(Δφ)|) computed from the phase difference between users' …

Tzolkin Kin-Based Oracle Matrices Combined With Phase Interference Metrics For Decentralized Social Coordination, Frédéric Renault

Defensive Publications Series

This disclosure describes a social coordination system combining a mathematical projection of the Maya Tzolkin calendar (260-day cycle, 20 seals × 13 tones) with a continuous wave-phase interference metric for peer-to-peer social matching in decentralized networks without centralized social graphs.

The Kin computation uses a 52-year modulo lookup mechanism (KIN_MESES monthly offset array + KIN_SUMA 52-year cycle dictionary) rather than standard Julian Day conversions, providing a computationally efficient and offset-correctable mapping from Gregorian dates to Tzolkin Kin numbers.

The resonance metric `k = 1 / (1 + |sin(Δφ)|)` operates on personal phase values φ_i derived from birth ephemeris. Critically, the …

Biometric Birth Ephemeris As Deterministic Parameters For Shamir Secret Sharing Key Recovery, Frédéric Renault

Defensive Publications Series

This disclosure describes a method for deriving cryptographic identity keys and Shamir Secret Sharing (SSSS) parameters deterministically from biometric birth and conception ephemeris data, eliminating central biometric storage.

Two distinct canonical ASCII strings serve as key derivation inputs:

SALT (birth anchor): `YYYYMMDDHHMM_LAT_LON_POLARITY_WEIGHT`   Example: `198504171530_48.86_2.35_0_3.2`

PEPPER (conception anchor): `YYYYMMDDHHMM_LAT_LON_WEIGHT`   Example: `198407110830_48.86_2.35_3.2`

If the exact conception timestamp is unknown, it is algorithmically deduced from the birth timestamp using a weight-modulated gestation formula: `gestation_days = 280.0 + (birth_weight_kg − 3.5) × 4.0`.

The SALT and PEPPER, combined with an email identifier, are fed into a Key Derivation Function to produce a 32-byte seed …

4d Opaque Hexagonal Geo-Addressing Scheme Using Dynamic Goldberg Polyhedra And Chinese Remainder Theorem Encoding, Frédéric Renault

Defensive Publications Series

This disclosure describes a compact, opaque geographic addressing format ("a4l:") for hexagonal cells of a Goldberg polyhedron tessellation of the Earth's surface. Unlike static geographic grids, this framework applies a continuous temporal rotation (precession) to the tessellation lattice using the Golden Ratio (φ = 1.6180339...) as the rotation period divisor, creating a 4-dimensional address (spatial + temporal) that cannot be decoded without knowledge of the exact Unix timestamp at event creation.

Format: `a4l:PH` where PP = pentagon identifier (00-11), QQQQ/RRRR = axial hex coordinates offset-encoded as 16-bit unsigned hexadecimal values.

The dynamic grid makes the addressing scheme privacy-preserving by design: …

Dynamic Per-Prefix Micro-Loop Avoidance Timer Computation In Segment Routing Networks, Anonymous

Defensive Publications Series

Techniques are disclosed for computing dynamic, per-prefix micro-loop avoidance timer values in a segment routing (SR) network running an interior gateway protocol (IGP). For each destination prefix, a router pre-computes a timer based on topology-derived convergence estimates including hop count, per-node link state protocol data unit (LSP) processing time, shortest path first (SPF) computation delay, link delay, and forwarding hardware programming delay. The per-prefix timer values are grouped into configurable-granularity buckets with random jitter and stored in memory during normal operation. Upon detection of a topology event, each pre-computed timer is activated and gates a two-stage route installation in which …

Does The Availability Of An Additional Set Of Bunker Gear Impact Firefighter Health, Safety, And Operational Readiness?, Ryan Riley

Certified Public Manager® Applied Research

Firefighting is a complex and inherently dangerous profession. Firefighters today face a growing array of occupational hazards, not just from the effects of being exposed to fire and smoke, but also from the personal protective gear they wear, commonly referred to as “bunker” or “turnout” gear. While this gear is designed to protect firefighters in dangerous environments, prolonged use and repeated exposure to smoke, chemicals, and products of combustion can compromise the gear. Research has shown that bunker gear contains and can also retain cancer-causing chemicals. To this end, this paper examines whether the availability of an additional set of …

Scott Buie Collection, 1941-1946, Scott Buie

Center for Restoration Studies Archives, Manuscripts and Personal Papers Finding Aids

No abstract provided.

Biologically Informed Negative Samplingfor Antibody Chain Pairing Classification, Ishita Singh

Computer Science Senior Theses

Antibody heavy and light chain (H/L) pairing is fundamental to antigen recognition and stability. While single-cell sequencing preserves native pairing information, widely used bulk repertoire and spatial transcriptomics platforms do not, motivating the need for efficient ML methods to infer H/L pairing. Training a binary classifier for this task faces the methodological challenge of a lack of true biological negatives, since natural selection eliminates B cells with incompatible H/L pairs.

In this thesis, I introduce a biologically informed negative sampling strategy for H/L pairing classification, drawing on known V-gene biases in heavy and light chain pairing. Pseudo-negatives are constructed by …

Mimic: A Multimodal Dataset For Affective Incongruity In Video, Ethan M. Baird

Computer Science Senior Theses

This thesis investigates the computational challenges of constructing a database for affective incongruity, exploring the difficulties in automating the collection of contradictory affective states. Capturing these incongruities is essential for advancing Vision-Language Models (VLMs) and sentiment analysis, which struggle to interpret signals deviating from basic emotional archetypes. Curating non-congruent affect provides the data necessary for models to navigate complex social contexts, which is critical for applications like automated Audio Description (AD) for the visually impaired and nuanced Human-Computer Interaction (HCI). To capture these signals, two distinct methodologies were employed. The first utilized a tripartite decomposition of video data, isolating textual, …