This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under ...

However, traditional calorimetric methods typically rely on single-channel measurements, complex fabrication, or long ...

Design engineers routinely rely on bolted joints, yet most guidance focuses on axial stiffness—often overlooking moment ...

For decades we thought aging was gradual. Stanford’s 7 year study proves otherwise.

Reporting quality in clinical research is critical for evidence-based medicine and reproducibility of clinical studies. Previous work has mostly focused on the reporting quality of clinical trials and ...

Background/aims To characterise the temporal dynamics of choroidal changes relative to myopia onset and determine their ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

NINGBO CITY, ZHEJIANG PROVINCE, CHINA, January 20, 2026 /EINPresswire.com/ -- The global pneumatic cylinder market ...

Abstract: System identification plays a crucial role in modern control techniques, enabling the data-driven learning of input-output maps or mathematical models. However, practical applications face ...

This novel approach integrates diverse types of information by combining clinical parameters with imaging techniques like CT scans or laboratory data.

Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .

Geologists from St. Petersburg State University, as part of an international scientific team, have analyzed rock data from ...