Role of similarity principles in data extrapolation
An exploration of the challenges and limitations of extrapolating data from specific systems to broader physiological contexts, emphasizing the need for a deeper understanding of similarity and modeling in scientific research
Second W Ross Ashby memorial lecture 1984 the physics of complexity
Rosen's reflections on his brief but impactful interactions with W. Ross Ashby, expressing honor in presenting the Ashby Memorial Lecture while critically reviewing Ashby's influential ideas on the brain, biology, and complexity
Self-reproducing automaton
Clarification on some fundamental misunderstandings on von Neumman's 1959 paper on self-reproduction, emphasizing the lack of a rigorous definition for the term and the resulting confusion in its varied interpretations
Self-sorting of isotropic cells
The study explores Steinberg's hypothesis on cell self-sorting, suggesting that motility and differential adhesion can lead to stable configurations with minimal surface free energy, but computer simulations reveal that achieving maximum energy configurations may require specific, yet undetermined, rules of cell motility
Similarity and dissimilarity- A partial overview
The concept of similarity and dissimilarity is fundamental in science and mathematics, influencing our understanding of physical reality, as illustrated through examples from biology and technology

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