A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas +4 more
wiley +1 more source
Relative-to-human benchmark Cognitive Divergence and semantic comprehensibility in Chinese-Uyghur LLM translation. [PDF]
Zuo J, Wang Y, Yibulayin X.
europepmc +1 more source
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Efforts to link HIV-positive and high-risk blood donors to HIV testing, and treatment services, Mozambique, 2019-2020. [PDF]
Kanagasabai U +12 more
europepmc +1 more source
Proposal of a guide for the interpretation, simplification of the regulatory process and good tax compliance, case of digital taxpayers, influencers. [PDF]
Mamani Monrroy KY +4 more
europepmc +1 more source
S Corporation Current Developments [PDF]
Karlinsky, S. S., Nellen, Annette M.
core +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Change in population structure, policy adjustment, and China's public pension sustainability. [PDF]
Fan W, Meng J, Yang H.
europepmc +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Private equity and reproductive medicine: "Fertile breeding ground" - a physician's perspective". [PDF]
Abraham Zadeh A.
europepmc +1 more source

