Results 121 to 130 of about 20,437 (299)
Datasets for the studies reported in the paper "What's wrong with aesthetic empiricism?
Clément Canonne
core +2 more sources
Empiricism: How much, how little
The practice of medicine was completely empirical in the beginning and the growth of technology added newer tools to the diagnostic kit. As the kit grew larger, there was a reciprocal diminution in the empiricism. The practice of medicine at the extremes
Ramesh Babu Kurnool
doaj
Johann Nikolaus Tetens’ Critical Foundations of the First Project for the Reform of Metaphysics
Tetens is usually considered the main representative of English empiricism in 18th-century German philosophy. In order to find out how fair this characterization is, the authors turn to the analysis of the critical foundations of the project of reform of
Sergii Secundant +1 more
doaj +1 more source
This review highlights advances in lightweight, lead‐free polymer nanocomposites for diagnostic X‐ray shielding. By linking filler chemistry, dispersion, architecture, and photon interaction mechanisms, it establishes structure–performance relationships guiding material design.
Aklilu G. Messele +2 more
wiley +1 more source
EMPIRICISM AND THE ART OF TEACHING [PDF]
Teaching/Communication/Extension/Profession,
Broder, Josef M.
core +1 more source
La ciencia política, ciencia noética del orden.
This work has the following fundamental purposes: i) to respond by way of a critical review to the statements on political science's object of study made by Rodrigo Losada and Andrés Casas in their recently published book Enfoques para el análisis ...
Felipe Cárdenas Támara. +1 more
doaj
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi +3 more
wiley +1 more source
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source

