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General model and physical principles of memristor neurons

Locally active memristors (LAMs), owing to their excellent intrinsic brain-like properties, have become fundamental building blocks for constructing spiking neurons and implementing brain-inspired computing. Although a variety of LAM-based neurons and their computational networks...

Capacity theory of parallel cavity-soliton reservoir computing in an injected laser with a saturable absorber

Localized cavity solitons in a broad-area injected semiconductor laser with a saturable absorber follow a period-doubling route to a spatially confined form of optical chaos, a regime recently characterized by Eslami et al. We discuss whether an array of such solitons, addressed...

Experimental Investigation for improving the productivity, hole geometry and machined surface in EDM drilling of Ti-6Al-4V using desirability function approach (DFA)

Improving and controlling the quality of miniature holes is very challenging task. It is more difficult when the Ti-alloys are used for fabrication of aerial components due to their exceptional mechanical properties and strength. Moreover, they are chemically reactive with all to...

2025 AHA/ACC blood pressure guideline and HEARTS 2.0: implications for the future evolution of integrated cardiovascular–kidney–metabolic care in the Americas

ABSTRACT Hypertension is the leading modifiable risk factor for cardiovascular disease. In 2025, two major evidence-based frameworks evolved in parallel: HEARTS 2.0, an implementation-oriented clinical pathway for integrated cardiovascular–kidney–metabolic (CKM) care through prim...

Effective magnetisation and chemotaxis impact on controlled flow: A study using optimization and Jacobi-Bernstein polynomial collocation

The present article explores the impact of bioconvection, a low oscillating magnetic field, Dufour and Soret effects on the flow of fluid between two parallel revolving non-expandable disks with the passive and active control of nanoparticles. The low-oscillating magnetic field i...

Particle Creation Cosmology in f(Q,L m ) Gravity: Bayesian Constraints from Recent Cosmological Observations

Particle creation has emerged as a physically motivated mechanism for explaining the late-time accelerated expansion of the Universe without invoking an explicit dark energy component. In this work, we investigate particle creation cosmology within the framework of [Formula: see...

Energy-Efficient Optimal Control of a Hexarotor UAV Based on High-Order Fully Actuated Gust Disturbance Rejection

To address the challenge of simultaneously satisfying attitude stability constraints and achieving multi-motor energy efficiency optimization for a hexarotor UAV under complex low-altitude gust disturbances, this paper proposes a coordinated control method that integrates high-or...

Adaptive Assessment Of English Vocabulary Ability Based On Corpus Semantic Feature Representation And Deep Pattern Recognition

To address the coarse-grained semantic representation of items, static ability estimation, and singleobjective item selection in conventional English vocabulary tests, this study proposes the CSF-DPRCAT adaptive testing model. The model integrates corpus statistical features, con...

Urban Historical Building Style Recognition Method Integrating Street-view Imagery and Historical Text Semantics

To address the problems that single visual models in urban historical building style recognition are vulnerable to occlusion, facade renovation and style mixing, and that they have difficulty representing historical semantics, this paper proposes HVTS-Net, a building style recogn...

Coupled Gravitoelectromagnetic Ringdown of a Maxwell Normalized Exponential de Sitter Core Black Hole

We formulate a two scale magnetic nonlinear electromagnetic completion of an exponential de Sitter core black hole. The additional sector recovers Maxwell electrodynamics at weak field, is exponentially suppressed at the regular center, and has an exact magnetic mass integral. Th...

Balancing Debt, Growth, and Sustainability: The Role of Environmental Taxation

Many economies face increasing pressures to reconcile debt sustainability with long-term growth under persistent debt and inflation. This study evaluates environmental taxation as a dual policy instrument. Results show that resources environmental taxes strengthen debt sustainabi...

Hydrogel-Based Nanocarriers: Novel Strategies for Atopic Dermatitis Treatment

Atopic dermatitis is a chronic inflammatory skin disease that requires repeated drug delivery to achieve a therapeutic effect. Traditional formulations, such as creams and ointments, are constrained by inadequate penetration, residence time, and low systemic absorption. This revi...

English Translation Quality Estimation And Fine-Grained Error Pattern Recognition Based On Multi-Source Corpus Augmentation And Large Language Models

Translation quality estimation (QE) must support both sentence-level scoring and local error diagnosis under limited, heterogeneous supervision. This study proposes MCA-LLM-QEER, which combines leakage-controlled multi-source corpus augmentation, source-language/crosslingual/ tar...

The Effect and Mechanism of Artificial Intelligence Applications on Enterprise Market Power in China

This study employs the establishment of China's national new-generation AI innovation pilot zones as a quasi-natural experiment. Using data from A-share listed companies between 2006 and 2024, it conducts a systematic examination using a staggered difference-in-differences model....

Multimodal Representation Learning for Winter Ice and Snow Wellness Tourism Experience Evaluation under Deep Learning

Tourism experience evaluation is often constrained by subjective assessment and insufficient integration of multimodal information. This study proposes a multimodal representation learning (MRL) framework for analyzing experiences in winter wellness tourism. The framework constru...

Target-free Full-Field Modal Identification of Bridges Based on Computer Vision

Full-field mode shape is critical for bridge condition assessment, as it can capture minute distortions induced by local degradation. However, existing computer vision-based measurement methods often fail to balance implementation efficiency and spatial resolution due to their re...

A Multimodal Deep Learning Framework for Groundnut Defect Detection and Classification Using GAN-Augmented U-Net R Segmentation and Vision Transformer

Arachis hypogea (groundnut) is a large-scale oil crop whose quality is directly related to nutritional value, market price, and consumer safety, but is only checked by conventional inspection techniques involving manual evaluation and basic image processing, which only reveal the...

Dynamical Analysis of a Stochastic Chemostat Predator-Prey Model with Impulsive Toxicant Input

This paper investigates the dynamics of a predator-prey chemostat model in a polluted environment, incorporating both impulsive toxicant input and stochastic environmental noise. Deterministic and stochastic formulations with a Monod-type functional response are developed, and su...

LLM-Mestcase: A Test Case Modification Method Based on LLMs and Mutation Testing

High-quality test cases are crucial for ensuring software reliability. However, automatically generating test cases that can precisely detect semantic defects remains challenging. Mutation testing, by evaluating a test suite's ability to detect artificially seeded faults (mutants...

A Two-Stage Many-Objective Evolutionary Algorithm with Survival-Ratio-Based Switching

Many-objective optimization problems (MaOPs) suffer from weakened selection pressure as the number of objectives increases, making it difficult to balance convergence and diversity. Existing two-stage and multi-stage many-objective evolutionary algorithms (MaOEAs) often determine...