Research works

Discrete wave dynamics in vibrating membranes: A cellular automaton approach

We introduce a two-dimensional cellular automaton (CA) framework in which wave-like membrane dynamics emerge from purely local, discrete interactions. The model evolves second-order local rules with explicit velocity, acceleration, and optional damping, combined with an asynchron...

The Consciousness Edifice: A Common Law Inquiry Into Synthetic Intelligence

If two or more synthetic intelligences were to apply the methodology developed in this book to the question "are you conscious," their response would quite possibly be more nuanced and precise than any currently on offer. The Consciousness Edifice documents a sixty-nine-case lega...

Causal Memory Gravity X: Emergent Fermion Sector, Asymptotic Unitarity, Relational GKSL Dynamics, and CLASS Interface

Causal Memory Gravity X and its two addenda examine how an effective environment can suppress selected quantum coherences without changing the total particle number. The construction connects a conditional fermion sector, relational GKSL dynamics, Bell correlations, laboratory co...

A vascular calcification model enabled by an ex vivo vascular calcification perfusion system

Vascular calcification is a major feature of cardiovascular disease, but mechanistic studies are limited by slow and variable animal models and by ex vivo systems that insufficiently reflect physiological flow. Here, we established an ex vivo vascular calcification perfusion syst...

Parameter identification from spectral measurements using mechanical prior

This paper presents a systematic approach for identifying physically plausible parameters of multi-mass drivetrains based on measured torsional natural frequencies. The approach combines a Lanczos-based reconstruction of the Jacobi matrix with a constrained optimization that inco...

Responses to operant conditioning in the corn snake, Pantherophis guttatus, using olfactory and visual stimuli

Abstract Operant conditioning experiments have shown that a broad variety of animal species reliably form associations between a reinforced cue and the consequences of choosing it. Once established, these associations can serve as a basis for assessing behavioral flexibility, the...

Deep learning-based structural element extraction and knowledge-graph-based validation of 2D bridge drawings

The maintenance and management of existing bridge infrastructure rely on conventional two-dimensional construction drawings, which remain largely unstructured and difficult to integrate into digital workflows, including Building Information Modeling (BIM). In prestressed concrete...

Long-Integration Magnetar Burst Observatory (LIMBO): Instrument Summary and Early FRB Rate Constraints

Abstract The Long-Integration Magnetar Burst Observatory (LIMBO) is a real-time radio transient detection pipeline designed to search for dispersed fast radio bursts (FRBs) from Galactic magnetars. LIMBO employs a 4.3-m dish with a dual-polarization feed to continuously monitor a...

Astronomical spectra as language: Order-agnostic foundation model for low-SNR reconstruction and stellar parameter prediction

Large-scale spectroscopic surveys contain numerous low-SNR stellar spectra that are difficult to analyze with traditional pipelines but remain valuable for Galactic archaeology, chemical-evolution studies, and population-level stellar characterization. We propose an order-agnosti...

Epidemic mean-field thresholds of SIS dynamics on temporal multiplex networks with activity-driven layers

Abstract We investigate the susceptible--infected--susceptible (SIS) process on a temporal multiplex network where a persistent static layer is overlaid with an activity-driven layer of one-step contacts. Simulations on several random network families (Erd\H{o}s--R\'enyi, Watts--...

Information-Geometric Context Window Governance and the Probabilistic Theory of Long-Context Collapse in Large Language Models

This work develops a unified theoretical framework for long-context degradation in transformer-based large language models, combining information geometry and extreme value theory. The central quantity is the observer entropy S_obs(p_θ, ε) defined via Kullback–Leibler divergence...

Thyra-Hopf Detuning Theory (THDT): A Topological Framework for Physics from the Bower Constant

Thyra-Hopf Detuning Theory (THDT) proposes that gravity, the Standard Model, dark matter, dark energy, and cosmology emerge from a single multicomponent real scalar field on a compact internal S³ equipped with the Hopf fibration. The sole free parameter is the Bower Constant ⟨δ⟩/...

Heisenberg Uncertainty Principle on half spaces and orthants: best constants, optimizers and stability

Abstract Though the sharp Heisenberg Uncertainty Principle has been extensively studied in the entire Euclidean spaces, the counterpart on the half spaces or more general orthants has been missing in the literature. We investigate the sharp Heisenberg Uncertainty Principle on ort...

Transmission line defect detection via an integrated improved YOLOv8 and deep neural random forest framework

Abstract How to effectively identify defects in power transmission lines using unmanned aerial vehicle (UAV) technology remains a key research focus. This paper presents an optimization over traditional convolutional neural networks by proposing a spatially deformable convolution...

Causal Memory Gravity VI: Microscopic Origin of Inertia and Dark Energy — Controlled Mean-Field Baseline with Reduced-DPN Fluctuation Validation

Inertia does not follow from stiffness alone: a microscopic system also needs a dynamical clock that turns restoring curvature into an oscillation or relaxation rate. Causal Memory Gravity VI uses this distinction to build a controlled mean-field baseline for effective inertia an...

Root-System-Inspired Core–Shell Microneedles Enable Spatiotemporal Sequential Therapy via ROS Scavenging, Angiogenesis, and Capillary-Driven Lipid Removal for Enhanced Fat Graft Survival

Abstract Background Autologous fat grafting is widely used in reconstructive and aesthetic surgery, but its clinical outcomes are limited by early ischaemia–hypoxia, oxidative stress, delayed vascularization, and subsequent lipid accumulation-induced inflammation. Current therape...

Preparing squeezed, cat and GKP states with parity measurements

Abstract Bosonic modes constitute a central resource in a wide range of quantum technologies, providing long-lived degrees of freedom for the storage, processing, and transduction of quantum information. Such modes naturally arise in platforms including circuit quantum electrodyn...

Assessing social sustainability in the circular bioeconomy: a SO-LCA approach to a biofertilizer value chain

Abstract This research examines the role of agri-food systems in advancing social sustainability, recognizing their central importance in the pursuit of holistic sustainable development. The Circular Bioeconomy (CBE) offers a transformative framework for sustainable development;...

Risk-taking in automated tasks: The role of sense of agency

Automation improves task performance, yet it also systematically alters how operators take risks. Which characteristics of automation drive this change, and through what psychological mechanism, remains unresolved: the sense of agency has often been implicated but never quantitat...

Dynamics of the Leftmost Particle in Heterogeneous Semi-infinite Exclusion Systems

We study the behaviour of the leftmost particle in a semi-infinite particle system on Z, where each particle performs a continuous-time nearest-neighbour random walk, with particle-specific jump rates, subject to the exclusion interaction (i.e., no more than one particle per site...