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This matching may be assessed in the lung as a whole, or in individual or in sub-groups of gas-exchanging units in the lung. On the other side Ventilation-perfusion mismatch is the term used when the ventilation and the perfusion of a gas exchanging unit are not matched. The actual values in the lung vary depending on the position within the lung.
A ventilation/perfusion lung scan, also called a V/Q lung scan, or ventilation/perfusion scintigraphy, is a type of medical imaging using scintigraphy and medical isotopes to evaluate the circulation of air and blood within a patient's lungs, [1] [2] in order to determine the ventilation/perfusion ratio.
Ventilation–perfusion coupling is the relationship between ventilation and perfusion in the respiratory and cardiovascular systems. [1] Ventilation is the movement of air in and out of the lungs during breathing. [2] Perfusion is the process of pulmonary blood circulation, which reoxygenates blood, allowing it to transport oxygen to body tissues.
The matching is stable if there are no two elements which are not roommates and which both prefer each other to their roommate under the matching. This is distinct from the stable-marriage problem in that the stable-roommates problem allows matches between any two elements, not just between classes of "men" and "women".
Positioning theory is a theory in social psychology that characterizes interactions between individuals. "Position" can be defined as an alterable collection of beliefs of an individual with regards to their rights, duties, and obligations. "Positioning" is the mechanism through which roles are assigned or denied, either to oneself or others.
Extended matching items/questions (EMI or EMQ) are a written examination format similar to multiple choice questions but with one key difference, that they test knowledge in a far more applied, in-depth, sense. It is often used in medical education and other healthcare subject areas to test diagnostic reasoning.
Vector quantization (VQ) is a classical quantization technique from signal processing that allows the modeling of probability density functions by the distribution of prototype vectors. Developed in the early 1980s by Robert M. Gray , it was originally used for data compression .
In graph theory, a priority matching (also called: maximum priority matching) is a matching that maximizes the number of high-priority vertices that participate in the matching. Formally, we are given a graph G = ( V , E ) , and a partition of the vertex-set V into some k subsets, V 1 , …, V k , called priority classes .