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Erythrocyte nuclear abnormalities (ENA) serve as sensitive biomarkers of genotoxic and physiological stress in fish. However, little is known about the extent to which age influences the frequency of ENA in species with ...

To address the sensitivity of traditional Two-Dimensional Principal Component Analysis (2DPCA) to outliers and the breakdown of variance-reconstruction equivalence under noise, we propose an Angle-Aware Weighted 2DPCA (A...

Abstract Graph Neural Networks (GNNs) are powerful tools for predicting chemical shifts in Nuclear Magnetic Resonance (NMR) spectroscopy. In this paper, we improve the state-of-the-art mean absolute error (MAE) on the Il...

Abstract High resolution collinear laser spectroscopy has been performed on singly charged ions of $$^{50,51}$$ V at the IGISOL facility of the Accelerator Laboratory, University of Jyväskylä, Finland. Eleven ionic tra...

Multiple studies had been conducted to improve the geological understanding and enrichment patterns of the Wufeng-Longmaxi Formation in the southeastern Sichuan Basin’s complex tectonic belt. However, the influence of ...

Customer churn prediction is essential across data-driven industries such as insurance, digital banking, e-commerce, and subscription platforms, where retaining existing customers is typically more cost-effective than ac...

Structural health monitoring (SHM) has become a central tool for managing civil infrastructure. In modern SHM, the physical structure and the SHM system together form a coupled cyber-physical system. Due to the networked...

Metamaterial based approaches have emerged as promising solutions for mitigating mutual coupling in compact multiple input multiple output antenna systems operating at fifth generation sub-6 GHz frequencies for smartphon...

Abstract Understanding and controlling the marine degradation of biodegradable polymers is crucial for sustainable materials engineering and pollution prevention. However, a unified interpretive method that links multisc...

Excessive armature mass fraction in asynchronous induction coil thrusters critically constrains payload capacity and propulsion efficiency. This study addresses this limitation through two lightweight strategies: axial h...

The purpose of this study is to justify the design parameters of spiral-vortex equipment ensuring energy-efficient desulfurization of flue gases from autonomous medium-capacity gas-piston power plants (GPPPs). The study ...

Abstract Background Chromatin condensation, accompanied by pronounced nuclear shrinkage, is a pivotal step in terminal erythroid differentiation and is essential for enucleation. However, the precise timing and molecular...

Electric vehicles are currently the leading solution in the automotive market to reduce greenhouse gas emissions. However, transitioning from traditional internal combustion engines poses many challenges. One of these ch...

In recent years, Large Language Models (LLMs) and Generative Artificial Intelligence (GenAI) have gained significant momentum in the automation of software development. Although, previous research studies have also explo...

Subretinal delivery of retinal pigment epithelium (RPE) cells is an important treatment for retinal degeneration patients, and the cell suspension method is the most common approach. Injectable hydrogel-mediated cell eng...

BackgroundIntegrated single-cell morpho-molecular analysis is vital for precision pathology, yet accurate nuclear instance segmentation from standard histopathology images remains challenging due to staining variability ...

Introduction. Stator flow-oriented control is currently the most widely used system in industry or in previous research for improving the quality of mechanical power generated by permanent magnet synchronous motors (PMSM...

The Zulfikar sword is a highly standardized sacred weapon symbol in Shia visual culture, forming a stable iconographic lineage across the Middle East and the Irano-Ottoman world. However, it is notably absent from Chines...

The increasing penetration of renewable energy sources (RES) reduces power system inertia, causing severe frequency excursions following disturbances. Conventional Automatic Generation Control (AGC) using fixed-gain cont...

Integration of Photovoltaic (PV) generation into oil and gas power networks has transformed fault behaviour by creating highly complex sensitivity challenges for conventional Overcurrent Relay (OCR) coordination and trip...

Abstract This research proposes an innovative Arabic financial forecasting model that integrates linguistic relation extraction with advanced deep learning and machine learning techniques. The framework combines Arabic O...

Radiography or X-ray imaging is a diagnostic imaging used in medicine to produce images of inner anatomical structures such as bones, teeth, lungs, and chest organs. Impulse noise is one of the major factors that degrade...

User populations in modern recommendation systems consist of diverse communities with distinct and often non-overlapping preferences. However, most existing models, such as traditional Variational Autoencoders (VAEs), op...

In this work, a structured hierarchy of hyperdatasets for Monkeypox image classification is presented, aiming to evaluate the robustness and generalization ability of deep classification models for Mpox detection. A syst...