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Abstract Background Proximal humerus fractures are common injuries in the elderly, frequently treated with plate osteosynthesis. Intraoperative 2D fluoroscopy provides only limited visualization of the humeral head’s c...

Spiking neural networks (SNNs) offer a biologically inspired, energy-efficient alternative to conventional artificial neural networks (ANNs). However, deep SNNs struggle to process complex EEG signals because their spike...

In this study, we explore methods for minimizing labeling costs, which is a critical issue in the active learning process. We focus on efficiently selecting the most essential datasets from an entire pool of unlabeled da...

Abstract Purpose This study introduces a new Convolutional Neural Network (CNN) architecture, EyeDiagNet, for the classification of fundus images into four classes: normal, cataract, diabetic retinopathy (DR), and glauco...

"The diverse repertoire of cell surface glycans, generated by the coordinated activity of glycosyltransferases and glycosidases, encodes critical biological information that is interpreted by glycan-binding proteins incl...

Abstract Facial Expression Recognition (FER) demonstrates significant value in practical scenarios such as intelligent human–computer interaction. However, conventional FER methods often struggle to balance performance...

Botnet communications often rely on Domain Generation Algorithms (DGAs) to establish channels among attack orchestrators and compromised hosts (bots). Our approach leverages on Artificial Intelligence (AI) to differentia...

As a key element of human settlements and fundamental features in maps, buildings play a critical role in urban planning and environmental monitoring. Automatically extracting buildings from remote sensing images is of s...

Maintaining a balanced diet is essential for overall well-being, yet many individuals face challenges in meal planning due to time constraints, limited nutritional knowledge, and difficulty aligning meals with personal d...

Video snapshot compressive imaging is a computational imaging technique based on compressed sensing that acquires high-speed frames through a 2D compressed measurement, followed by an algorithmic reconstruction. Current ...

Abstract Background Receiver Operating Characteristic (ROC) analysis is commonly used to evaluate how well biomarkers distinguish between diseased and non-diseased individuals. A very important step in this process is ch...

Abstract The transformer architecture has demonstrated significant performance in image super-resolution (SR). However, for existing Transformer-based models, there are common drawbacks. They often fall short in local fe...

Xue Fu,1 Jiawei Dong,2 Jian Yang,2 Xiaotian Zhang,2 Shangkun Cai,2 Yiwei Zhang,2 Shenglong Lv,2 Meng Zhang2 1Department of Emergency, Hebei Medical University Third Hospital, Shijiazhuang, 050051, People’s Republic of ...

BackgroundChronic hepatitis B (CHB) caused by the hepatitis B virus (HBV) remains a major global health burden. The immune-active (IA) phase, characterized by positive Hepatitis B surface antigens (HBsAg), elevated alani...

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 A systems biology approach was used to characterize Monotropa uniflora, a nonhotosynthetic, myco‐heterotrophic plant. In contrast to autotrophic plants, myco‐heterotrophic plants obtain carbon and other nutr...

Abstract Cuproptosis is a recently identified copper-dependent cell death pathway with growing relevance in tumor biology, yet its involvement in thyroid carcinoma (TC) remains poorly understood. In this study, we integr...

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...

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...

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...

Meta-optics have opened new possibilities for portable, high-performance microscopy, offering ultrathin and highly customizable wavefront control in scenarios where bulky optics limit adoption. Here, we use this capabili...

Abstract Background N6-methyladenosine ( $$m^{6}A$$ ) plays a crucial role in enriching RNA functional and genetic information. While deep learning has advanced $$m^{6}A$$ site identification, current state-of-the-art me...