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Durability is the ability of a physical product to remain functional, without requiring excessive maintenance or repair, when faced with the challenges of normal operation over its design lifetime. [ 1 ] : 5 There are several measures of durability in use, including years of life, hours of use, and number of operational cycles. [ 2 ]
Econophysics is a non-orthodox (in economics) interdisciplinary research field, applying theories and methods originally developed by physicists in order to solve problems in economics, usually those including uncertainty or stochastic processes and nonlinear dynamics.
In physics and thermodynamics, the ergodic hypothesis [1] says that, over long periods of time, the time spent by a system in some region of the phase space of microstates with the same energy is proportional to the volume of this region, i.e., that all accessible microstates are equiprobable over a long period of time.
Biophysics is an interdisciplinary science that applies approaches and methods traditionally used in physics to study biological phenomena. [1] [2] [3] Biophysics covers all scales of biological organization, from molecular to organismic and populations.
A primary objective of ecological economics (EE) is to ground economic thinking and practice in physical reality, especially in the laws of physics (particularly the laws of thermodynamics) and in knowledge of biological systems. It accepts as a goal the improvement of human well-being through development, and seeks to ensure achievement of ...
The first component, the constant stocks, is similar to the concept of the stationary state, originally used in classical economics; the second component, the flow of natural resources, is a new ecological feature, presently also used in the academic discipline of ecological economics. The durability of both of the constant stocks is to be ...
The field is broadly defined and includes foundations in biology, applied mathematics, statistics, biochemistry, chemistry, biophysics, molecular biology, genetics, genomics, computer science and evolution. Computational biology has become an important part of developing emerging technologies for the field of biology. [3]
An inverse problem in science is the process of calculating from a set of observations the causal factors that produced them: for example, calculating an image in X-ray computed tomography, source reconstruction in acoustics, or calculating the density of the Earth from measurements of its gravity field.