Artificial Intelligence in Medicine (Canada)

Research on the Impact of Corporate ESG on Promoting Common Prosperity—Empirical Evidence from Chinese A-share Listed Companies 2011-2023

Using data on Chinese A-share listed companies from 2011 to 2023, this paper examines the relationship between ESG and common prosperity at the firm level. From a theoretical perspective, corporate ESG activities can promote common prosperity through two channels: first, by impro...

Research on the Impact of Corporate ESG on Promoting Common Prosperity—Empirical Evidence from Chinese A-share Listed Companies 2011-2023

Using data on Chinese A-share listed companies from 2011 to 2023, this paper examines the relationship between ESG and common prosperity at the firm level. From a theoretical perspective, corporate ESG activities can promote common prosperity through two channels: first, by impro...

Research on the Patterning Polyimide Layer Based on Laser Ablation Technology

Abstract Polyimide (PI) has emerged as a critical material in advanced semiconductor packaging owing to its high temperature stability, low dielectric constant and loss, mechanical flexibility and stress relief, and chemical and moisture resistance. The passivation (PA) layer is...

WACA-UNet: Weakness-Aware Channel Attention for Static IR-drop Prediction

Accurate spatial prediction of power-integrity issues such as IR drop is critical for reliable VLSI design, yet traditional simulation-based solvers do not scale efficiently to modern designs. We formulate static IR drop estimation as a pixel-wise regression problem over heteroge...

Energy Efficient Federated Graph Reinforcement Learning and Digital Twin Assisted Demand Response for Blockchain-Enabled Self-Healing Smart Grids

Abstract Smart grids today are highly decentralized and data-driven, with the growing incorporation of renewable energy resources, electric vehicles, distributed energy systems and intelligent edge devices. Energy efficiency, operational resilience, privacy protection and secure...

Typology of learning styles in medical students: a systematic review of 33 countries

Understanding students' learning styles is crucial for guiding the teaching–learning process according to their individual needs and preferences, and for creating effective pedagogical situations. Therefore, this systematic review aimed to identify learning styles in medical stud...

Ensemble-based feature selection and classification for ischemic stroke subtyping

Abstract Strokes have become a major cause of death in recent years due to their effects on the central nervous system. Hemorrhagic and ischemic strokes (IS) are the two most types that severely harm the central nervous system. Subtyping ischemic stroke is crucial for both the pr...

Sharp Closure Thresholds for Two-Hidden-Layer ReLU Networks

Preprint, Version 1. This manuscript has not been peer reviewed. This deposit establishes a public, citable, version-specific scholarly record of the manuscript and its accompanying source and verification materials. No journal acceptance or endorsement is implied. The SHA-256 ch...

Sharp Closure Thresholds for Two-Hidden-Layer ReLU Networks

Preprint, Version 1. This manuscript has not been peer reviewed. This deposit establishes a public, citable, version-specific scholarly record of the manuscript and its accompanying source and verification materials. No journal acceptance or endorsement is implied. The SHA-256 ch...

PPORLD-EDNetLDCT: A Proximal Policy Optimization-based reinforcement learning framework for adaptive low-dose CT denoising

Low-dose computed tomography (LDCT) is critical for minimizing radiation exposure, but it often leads to increased noise and reduced image quality. Traditional denoising methods, such as iterative optimization or supervised learning, often fail to preserve image quality. To addre...

Machine learning–driven spleen imaging and genomics uncover a splenic connection to coronary artery disease

Despite advances in managing traditional risk factors, coronary artery disease (CAD) remains the leading cause of mortality. Circulating hematopoietic cells influence risk for CAD separately from traditional risk factors, but the role of a key regulating organ, the spleen, is unk...

Free-Energy and Position-Dependent Diffusion Profiles Shape Passive Permeation of a Semisynthetic Naphthoquinone across a Model Lipid Bilayer

Abstract Passive membrane permeation depends on both solute partitioning and coordinate-dependent mobility, but their separate and spatial-coupling contributions are rarely quantified within a common resistance framework. CNFD (6b,7-dihydro-5H-cyclopenta[b]naphtho[2,1-d]furan-5,6...

Early Radiographic Changes Predict Radiographic Stability in Distal Radius Fractures: Development and Validation of an Explainable Predictive Model

Purpose To determine whether early radiographic trajectory data can predict the timing of stability in conservatively managed distal radius fractures (DRFs) and to identify which clinical and radiographic features most influence stabilization timing. Methods This retrospective co...

Posture-driven multistage region proposal and fast R-CNN architecture for advanced real-time autonomous vehicle object detection

Accurate and real-time detection of objects is important in the field of autonomous vehicle (AV) safety, but the current detection systems have numerous issues. Conventional Region Proposal Networks (RPNs) do not typically succeed in the technical urban setting with tiny or hidde...

Exact Coordinate-Balancing Calculus and Sharp Stability for Symmetric Lattice Cross-Covariograms

Preprint, Version 1. This manuscript is currently under editorial consideration at a journal.This deposited PDF corresponds in scholarly content to the manuscriptsubmitted to the journal. The deposited PDF was independently compiledand is not asserted to be byte-identical to any...

Exact Coordinate-Balancing Calculus and Sharp Stability for Symmetric Lattice Cross-Covariograms

Preprint, Version 1. This manuscript is currently under editorial consideration at a journal.This deposited PDF corresponds in scholarly content to the manuscriptsubmitted to the journal. The deposited PDF was independently compiledand is not asserted to be byte-identical to any...

Source-Preserving Prompt Augmentation and Category-Adaptive Inference for Qwen3-1.7B: A Prospective Seed-Replication Study

This preprint investigates whether a fixed compound inference intervention can improve the performance of a small language model without updating its parameters. The experimental program compares structured prompt replacement, natural-language rewriting, source-preserving semanti...

Source-Preserving Prompt Augmentation and Category-Adaptive Inference for Qwen3-1.7B: A Prospective Seed-Replication Study

This preprint investigates whether a fixed compound inference intervention can improve the performance of a small language model without updating its parameters. The experimental program compares structured prompt replacement, natural-language rewriting, source-preserving semanti...

Climate change based yield production using hybrid deep learning with optimal feature selection

Accurate agricultural yield prediction under changing climate conditions has become the challenge task due to the increasing variability in environmental factors like temperature fluctuations, irregular rainfall patterns and soil degradation. Traditional statistical and machine l...

Intranigral injection of alpha-synuclein pre-formed fibrils leads to BBB compromise and bilateral dopaminergic neurodegeneration in A53T alpha-synuclein transgenic mice

ABSTRACT Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by alpha-(α)-Synuclein neuronal aggregation and loss of dopaminergic (DA) neurons. Developing animal models that replicate PD’s neuropathological phenotypes is critical for understanding i...