Digital Commons Network^™

Towards Adaptive Driver Training: Online Estimation Of Dual-Task Performance Model Parameters, Aleksandra Dudek, Patrick Linford, Zihan Yu, Scott James, Matthew Castanier, Chris Vermillion, Kira Barton

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Autonomy For Lunar Surface Infrastructure Construction, John Cooper, Irina Kostitsyna, Olivia Irene B. Formoso, Dominic Bisio, Joshua N. Moser, Matthew P. Vaughan, Joshua N. Moser, Matthew K. Mahlin

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Robust Mpc Design For Leaky-Integrator Echo State Networks, Hao Deng, Cristina Stoica, Daniel Ossmann, Mohammed Chadli

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Adaptive Dae Observer For Joint State And Parameter Estimation In Parallel-Connected Li-Ion Batteries With Experimental Validation, Jorge E. Espin, Dong Zhang

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Planar Juggling Of A Devil-Stick Using Discrete Vhcs, Aakash Khandelwal, Ranjan Mukherjee

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Unbalancing Second-Life Battery Pack With Bidirectional Dc/Dc Converter For Extending Life, Zhicheng Xu, Yuichi Kajiura, Wonoo Choo, Jorge Espin, Dong Zhang

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Co-Design And Optimal Control Of A 2d Tendon-Driven Continuum Leg For Fast And Energy-Efficient Motion, Setayesh Yavari, Faith O. Olawoyin, David A. Emerson, Hunter B. Gilbert

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

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 …