Results 201 to 210 of about 2,114,661 (401)
ABSTRACT Over the past three decades, we have mentored a generation of young Japanese surgeons, guiding them to become internationally recognized surgeon‐scientists. Through a unique collaboration between Japanese academic institutions and our laboratories at AntiCancer Inc.
Robert M. Hoffman +2 more
wiley +1 more source
Review of: "In the doing of science, what is the place for naturalistic philosophy? Implications for the teaching of science" [PDF]
Elisabetta Canetta
openalex +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
The Alcmaeon's School of Croton: Philosophy and Science. [PDF]
Santacroce L +3 more
europepmc +1 more source
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki +3 more
wiley +1 more source
Is a Hot Dog a Sandwich? Using Lateral Thinking to Teach Philosophy of Science. [PDF]
Kinnear B.
europepmc +1 more source
The extended cognition thesis: Its significance for the philosophy of (cognitive) science [PDF]
Eric Arnau +3 more
openalex +1 more source
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
Agential realism as an alternative philosophy of science perspective for quantitative psychology. [PDF]
Scholz J.
europepmc +1 more source

