In this study, the authors use microCT to image an intact hatchling octopus and segment major organ systems, including the vascular, respiratory, digestive, and nervous systems. The resulting dataset ...

In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...

A new method developed at LMU overcomes fundamental resolution limits and may provide insights into high-temperature ...

Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze.

Chawla, A. (2026) On the Black Hole Information Loss Paradox under a Novel Phenomenological Model of Quantum Measurements.

Based on the automatic station observations in central Gansu, the applicability of multi-source precipitation merged products ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: Ultrasound contrast agents (UCAs) have been used as vascular reporters for the past 40 years. The ability to enhance vascular features in ultrasound images with engineered lipid-shelled ...

Abstract: This paper presents a comprehensive analysis of various interpolation techniques for trajectory planning of a 7-DoF Panda Robot under Robot Operating System(ROS2) environment. Total six ...

You will be redirected to our submission process. Natural disaster research is a vital area within earth and environmental sciences, as climate change, urbanization, and increased human activity have ...

SEVERAL current text-books on numerical mathematics give descriptions of what is called the ‘Bashforth–Adams’ process for the solution of differential equations. The method is usually dismissed with a ...