BACKGROUND: Peritoneal metastasis (PM) is the most common form of distant metastasis in gastric cancer and is a major cause of mortality. Current diagnostic approaches suffer from low sensitivity, time-consuming procedures, and cannot provide real-ti... read more
The electrocardiogram (ECG) is a vital tool for diagnosing heart diseases.
However, many disease patterns are derived from outdated datasets and
traditional stepwise algorithms with limited accuracy. This study presents a
method for direct cardiova... read more
Open-world object detection (OWOD) extends traditional object detection to
identifying both known and unknown object, necessitating continuous model
adaptation as new annotations emerge. Current approaches face significant
limitations: 1) data-hung... read more
Energy hubs (EHs) are considered a promising solution for multi-energy resources, providing advanced system efficiency and resilience. However, their operation is often challenged by the need for techno-economic trade-offs and the uncertainties relat... read more
Medical image analysis plays a pivotal role in the early diagnosis of
diseases such as skin lesions. However, the scarcity of data and the class
imbalance significantly hinder the performance of deep learning models. We
propose a novel method that ... read more
Environmental monitoring and assessment
Jul 26, 2025
Toxic blooms dominated by cyanobacterial colonies of Microcystis aeruginosa complex (MAC) accumulate in the water surface, so they can be tracked by remote sensing. The abundance of toxic MAC cells is related to colony size, a parameter affecting wat... read more
In modern urban environments, camera networks generate massive amounts of
operational footage -- reaching petabytes each day -- making scalable video
analytics essential for efficient processing. Many existing approaches adopt an
SQL-based paradigm... read more
Background: Manual extraction of pancreatic cystic lesion (PCL) features from
radiology reports is labor-intensive, limiting large-scale studies needed to
advance PCL research. Purpose: To develop and evaluate large language models
(LLMs) that auto... read more
BACKGROUND: Neoplasms are a major cause of mortality globally, where early diagnosis is essential for improving outcomes. Current diagnostic methods are often invasive, expensive, and inaccessible in resource-limited settings. This study explores the... read more
Theoretical studies of molecular photochemistry and photophysics are essential for understanding fundamental natural processes but rely on computationally demanding quantum chemical calculations. This complexity limits both direct simulations and the... read more
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