This is an example of long-term adaptation. But the brain also adapts in the short term. Sensations of pressure on the skin abate even when the pressure is held constant, or low or high light levels are adapted
A recursive function may reference itself, directly or indirectly; a pure function has no side effects; and an elemental function is defined in terms of scalars but may be referenced for arrays. An example of a function statement is REAL FUNCTION minimum(a, b, func) where a, b, and func...
Consider the following state of an ancillary system A, two masses M1 and M2, and a probe system S: $$\frac{1}{\sqrt{2}}\left({\left\vert 0\right\rangle }_{{{\rm{A}}}{\left\vert {x}_{1,0}^{\mu }\right\rangle }_{{{\rm{M}}}_{1}}{\left\vert {x}_{2,0}^{\mu...
Artificial neural networks are the heart of machine learning algorithms and artificial intelligence. Historically, the simplest implementation of an artificial neuron traces back to the classical Rosenblatt’s “perceptron”, but its long term practical
In that sense, the strategies offer readers the possibility of formulating whatever arrange- ments of the text materials they consider effective or viable, rather than presenting them with an already fixed structure. Faulkner's example above may, once again, be of use to clarify this concept, ...
The intervening decades have provided opportunities for considerable improvements in diagnosis and major advances in understanding the structural and functional changes associated with the disease at cellular and mechanistic levels. For example, the destruction of myelin and the loss of oligodendrocytes at ...
We discuss some of these challenges in the next section. Memory Access Synchronization Let’s say we have a data race: two concurrent processes are attempting to access the same area of memory, and the way they are accessing the memory is not atomic. Our previous example of a simple data ...
2. Example machine-learning classifications 3. Conceptual description of the machine-learning classifiers 4. Selection of a machine-learning classifier 5. Training data requirements 6. User-defined parameters 7. Feature space 8. Additional considerations 9. Availability of machine-learning classifiers 10...
resulting mechanical properties. The schematic inFig. 4illustrates this process.28Fig. 5shows an example of the interwoven pattern of resin-impregnated fibers around a metallic liner. Although highly interwoven structures can have better ballistic performance and energy absorption, which is advantageous ...
12e,f). This analysis provides an example of how tmap can be used both to stratify microbiome profiles and to characterize relationships between host factors that contribute to this stratification. Sign in to download hi-res image Fig. 12. In-depth analysis of enterotype-like stratification of ...