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How “Micro” Is Microperimetry? Characterizing the Effect of Fundus Tracking on the Psychometric Function

Purpose: The purpose of this study was to quantify whether fundus tracking in microperimetry improves psychometric parameter estimation (as an in vivo demonstration of improved stimulus-delivery precision), and to derive a psychometrically grounded criterion intensity for suprath...

Automated Scientific Renaissance: How Artificial Intelligence Can Reimagine Scientific Discovery

This white paper proposes the urgent creation of an "AI Institute for Scientific Analysis" to overcome the current stagnation in fundamental physics and global science. The modern academic system, heavily reliant on human peer review and constrained by massive information noise,...

Automated Scientific Renaissance: How Artificial Intelligence Can Reimagine Scientific Discovery

This white paper proposes the urgent creation of an "AI Institute for Scientific Analysis" to overcome the current stagnation in fundamental physics and global science. The modern academic system, heavily reliant on human peer review and constrained by massive information noise,...

Probabilistic tuning of attentional templates: Evidence for flexible prioritization in visual working memory

Attentional templates in visual working memory (VWM) are essential for guiding visual search. Although much debate has focused on whether these templates are stored in discrete states or continuous resources, a question remains: To what extent can the priority of a template be st...

Mechanical Properties and Earthquake Response Analysis of Seismic Isolation Bearing with Displacement-Restraining Device

Traditional lead rubber bearings (LRB) often fail under strong earthquakes due to excessive horizontal displacement of the isolation layer, which is caused by the lack of a synchronous displacement limiting mechanism. To address this issue, this study proposes a novel Displacemen...

Multi-scale Feature Fusion with Structural Re-parameterization for Lightweight Defect Detection in Power Systems with Embodied Intelligence Perception

The reliable detection of defects in power system equipment with embodied intelligent perception is critical for ensuring operational safety and enabling autonomous monitoring. Traditional methods often struggle with low detection accuracy on specific defect types such as small-s...

Embodied Intelligence-Driven Active Perception and Detection Strategy Learning for Display Defects in Electric Metering Devices

Electric metering display inspection is a critical task in power equipment maintenance, yet practical field images often suffer from reflection, blur, occlusion, low illumination, and subtle segment-level defects. Existing passive inspection methods usually rely on fixed-view ima...

FV-COR: Full-View Consistency Constrained Multi-View Representation Learning for Enhanced Recognition Performance

Multi-view representation learning plays a critical role in tasks requiring robust and discriminative feature extraction across multiple perspectives. However, in real-world scenarios, multi-view data often present significant challenges, including varying viewpoint coverage, par...

Lightweight Multimodal-Guided Diffusion Transformer for Agricultural Product Packaging Visual Concept Generation

To address the problems of high costs during the conceptual design stage of agricultural product packaging and weak correlation between visual styles and market feedback, this study proposes a Lightweight Multimodal-Guided Diffusion Transformer (LMG-DiT). Driven by the Amazon Pro...

Dance Movement Recognition and Analysis Based on Deep Learning and Fuzzy Control Algorithms

The recognition and analysis of dance movements pose significant challenges due to the complexity and ambiguity of spatiotemporal motion data. This study presents a novel Dance Movement Recognition with Deep Learning and Fuzzy Control (DMR-DFC) framework that integrates Convoluti...

Epigenetic Factor Dysregulation and Distinct Expression Signatures in Retinoblastoma: A Transcriptomic Analysis

Purpose: Transcriptional heterogeneity observed in retinoblastoma (RB) is unexplained by the limited genetic alterations identified. Epifactors, which can modulate transcriptional activity and oncogenic pathways, may contribute to this heterogeneity. However, knowledge regarding...

Surfactant-Mediated Morphological and Optical Properties of SnSe Nanoparticles

The present study explores the effect of CTAB and EDTA surfactants on the morphological and optical properties of tin selenide (SnSe) nanoparticles. The pure SnSe, CTAB@SnSe, and EDTA@SnSe nanoparticles have been synthesized via a cost-effective solvothermal approach. X-ray diffr...

Multifractal Algorithms for 3D Digital Holographic Jones-Matrix Microscopy in Soft Matter Biological Films Diagnostics

The paper presents a new approach to biological diagnostics based on 3D Jones matrix mapping. An approach to analyzing the multifractal structure of optically anisotropic soft matter films formed during dehydration self-organization of biofluids has been developed and experimenta...

Surface adsorption, interfacial bonding and oxidation resistance of Al-P-Ga doped SnCu0.7 alloy

Using first-principles calculations and experimental characterizations, we investigate the effects of Al, P, and Ga doping on oxygen adsorption, interfacial bonding, microstructure, and oxidation resistance of SnCu0.7 alloy. Results show that Al and P exhibit stronger adsorption...

SirtSAGE: A Structural-Gated Graph Attention Framework for the Unified Classification and Evolutionary Mapping of Sirtuin Proteins

Sirtuins comprise a group of proteins that play critical roles in regulating gene expression, DNA repair, metabolic homeostasis, cellular stress responses, apoptosis, and aging-related pathways. Accurate classification of sirtuin proteins is important for understanding biological...

Emergence of Lorentz symmetry from an almost-commutative twisted spectral triple

This article demonstrates how the transition from a (Riemannian) twisted spectral triple to a pseudo-Riemannian spectral triple arises within an almost-commutative spectral triple. This opens a new perspective on the Lorentzian signature problem, showing that the almost-commutati...

The Role of Dopaminergic Agonists in Geographic Atrophy: Converging Evidence From Clinical and Experimental Data

Purpose: Levodopa (L-DOPA) is an emerging drug repurposing candidate for age-related macular degeneration (AMD). Basic and clinical studies identify a potential role for L-DOPA to prevent and treat neovascular AMD. However, only one prior study has been performed in geographic at...

CogRAG: Tackling Heterogeneous Cognitive Demands in RAG via Stratified Retrieval and Reasoning

Retrieval-Augmented Generation (RAG) frameworks typically process all queries through a one-size-fits-all pipeline, ignoring the heterogeneous cognitive demands of different tasks. This cognitive-blind approach causes two failure modes: cascading errors when low-level factual gap...

SURT-DETR: Sea-Sky Line Context-Aware and Uncertainty-Guided Small Object Detection for Unmanned Surface Vehicles

Detecting small objects within complex maritime environments presents a persistent challenge for Unmanned Surface Vehicle (USV) perception. Extreme scale variations often render distant targets as indistinct visual features, while background interference from waves and sea-sky bo...

Review of Nanoparticle-Based Therapeutics: Comparative Clinical Translation, Safety Barriers, and Regulatory Challenges

Nanotechnology has emerged as a transformative approach in modern medicine, offering innovative strategies for disease diagnosis, treatment, and prevention. Nanoparticles, typically ranging from 1 to 100 nm in size, possess unique physicochemical properties that enable targeted d...