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Formula unlocks secrets of cauliflower's geometry

Researchers have provided a mathematical formula to describe the processes that dictate how cauliflower-like patterns form and develop. The formula was derived from thin films grown using chemical vapour deposition, which successfully predicted the final cauliflower-like patterns by comparing them to actual plants.

SourceIOP Publishing·JournalNew Journal of Physics·DateOct 23, 2012

Modeling the demise of migrating brain tumor cells

A theoretical model simulates brain tumor cell evolution under treatment, revealing that peripheral cells need to be targeted. The model suggests enhancing TTF treatment by applying specific frequencies, leading to increased plasma membrane permeability and cancer cell demise.

SourceSpringer·JournalThe European Physical Journal E·DateJun 6, 2012

Forecast calls for nanoflowers to help return eyesight

Researchers at the University of Oregon are working on a project to design fractal devices that can be implanted in the eyes to restore vision. These devices will mimic the natural pattern found in the retina and could potentially overcome current limitations in chip technology, which are not compatible with neurons.

SourceUniversity of Oregon·JournalPhysics World·DateMay 5, 2011

Physicists use fractals to help Parkinson's sufferers

Researchers developed a system using a tri-axial accelerometer and fractal analysis to study Parkinson's patients' walking patterns. The study reveals the complexity of body motion in both healthy elderly subjects and Parkinson's disease patients, with the latter exhibiting higher fractal measures indicating more complex symptoms.

SourceIOP Publishing·JournalJournal of Neural Engineering·DateFeb 2, 2004

Fractal extremes predict impending breakdowns

Fractal extremes help predict when surfaces will reach critical points of erosion or accumulation, enabling better material designs and reliable devices. The study uses scaling math and extreme-value statistics to model surface growth and erosion processes, providing a more accurate method for predicting these events.

SourceUniversity of Rochester·JournalPhysical Review Letters·DateSep 26, 2001

Nature's cycles in a fractal state of mind

Scientists Yonathan Shapir and Jacob Jorné discovered that natural cycles generate fractal patterns, governing everything from weather to cauliflower heads. This breakthrough enables the prediction of events like car battery lifespan, lawn growth, and tumor cell behavior, with potential applications in engineering and medicine.

SourceUniversity of Rochester·JournalPhysical Review Letters·DateApr 16, 2000

Revealing the complex patterns of cardiac disease

Scientists from Boston University's Center for Polymer Studies use modern physics to analyze heartbeats, finding complex multifractal properties in healthy hearts. This discovery could help doctors diagnose cardiac disease more effectively, potentially avoiding the harm caused by medication aimed at eliminating variability.

SourceBoston University·JournalNature·DateJun 2, 1999