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Nitrogen dioxide (NO2) is a critical air pollutant with significant environmental and human health impacts, yet global and long-term NO2 datasets with daily continuity and fine spatial resolution remain limited. In this ...

Abstract Background Hepatocellular carcinoma (HCC) is a critical condition characterized by unchecked cellular growth in the liver, often leading to systemic inflammation and organ failure. Although its complex molecular...

BackgroundHypertrophic cardiomyopathy (HCM) is one of the most common genetic cardiovascular conditions, which may be linked to ion channel dysfunction. In decades, Genetic studies in HCM patients have shown that multipl...

Interpretable data classifiers play a significant role in providing transparency in the decision-making process by ensuring accountability and auditability, enhancing model understanding, and extracting new information t...

Devices based on two-dimensional photonic-crystal nanocavities, which are defined by their air hole patterns, usually require a high quality (Q) factor to achieve high performance. We demonstrate that hole patterns with ...

In marine science and engineering, growing volumes of imaging data are used in exploration and monitoring. The process of manual annotation of this data (i.e. marking and describing objects of interest with labels), to e...

Objectives Lactylation and liquid–liquid phase separation related genes have been reported to be associated with tumor prognosis and immunity, but their specific influence on the prognosis and immune characteristics of...

Abstract In 2021, China’s first Mars rover Zhurong successfully landed on the southern Utopia Planitia (109.925°E, 25.066°N) and began its exploration. The low-frequency channel (15–95 MHz) of Mars Rover Penetrat...

Intelligent mining area detection is fundamental for ecological monitoring and sustainable development of mining areas. However, current remote sensing detection lacks high-quality multimineral rotated object detection d...

Background: The progression of pulpitis is strongly affected by the fate of dental pulp cells, with their modes of cell death determining whether inflammation resolves or leads to irreversible necrosis. Cuproptosis, a co...

Introduction: This study aimed to identify dental pain using machine learning (ML) algorithms in Brazilian adolescents for public health screening purposes. Methods: Data from 2 cross-sectional waves of the Brazilian Nat...

Early detection of Parkinson’s disease (PD) through speech analysis offers significant clinical advantages, yet no validated tools exist for Arabic-speaking populations, representing a critical gap in global healthcare...

Abstract The Broad Learning System (BLS) provides an effective framework for nonlinear mapping, offering advantages over traditional deep neural networks through its expanded input node architecture. While BLS has demons...

ABSTRACT Plant diseases are the cause of heavy losses of crop production and, therefore, a big contributor to food shortages. Identifying these diseases as early as possible is important to limit the negative effects tha...

Mathematics readiness at entry remains critical for success in first-year engineering programs, yet many institutions lack transparent, reusable tools to diagnose risk and design levelling policies. This study develops a...

Abstract Medical picture categorization has been greatly enhanced by the use of deep learning, especially in the timely identification of skin lesions. Still, predictions from a single model remain unreliable due to thei...

As smart meter technology advances, advanced metering infrastructure (AMI) enables the collection of high-resolution energy consumption data, such as 15-minute interval electricity and gas usage. While anomaly detection ...

Question-answering (QA) has been a crucial NLP (Natural Language Processing) task for a long time. As an umbrella term, QA has multiple sub-tasks under its hood. Question classification (QC) is one of the most important ...

The detection of transmission towers in remote sensing images presents significant challenges due to insufficient feature representation and significant object size variations, particularly at low spatial resolutions whe...

Abstract Influenza A virus (IAV) infections play a substantial role in human disease, hospitalization, and economic loss. In an effort to better understand the intracellular effects that IAV replication has on individual...

The dataset of free-living soil nematodes from Colección Helmintológica of Museo de La Plata is presented. There is a large knowledge gap regarding soil nematodes especially in Argentina but also in the Neotropical reg...

Water information systems (ISs) are essential for sustainable water management but are often constrained by fragmented, heterogeneous, and rapidly evolving data. Advances in generative artificial intelligence (GenAI), pa...

Abstract Atomic force microscopy (AFM) is a widely used tool for nanoscale characterization across materials science, energy research, and biology. However, its adoption in high-throughput materials discovery and statist...

Regression testing plays a critical role in ensuring the reliability and quality of software following continuous integration and development. However, executing all test cases during regression testing can be time-consu...