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Power supply rejection ratio. In electronic systems, power supply rejection ratio ( PSRR ), also supply-voltage rejection ratio [1] ( kSVR; SVR ), is a term widely used to describe the capability of an electronic circuit to suppress any power supply variations to its output signal. In the specifications of operational amplifiers, the PSRR is ...
Vascular resistance is the resistance that must be overcome for blood to flow through the circulatory system.The resistance offered by the systemic circulation is known as the systemic vascular resistance (SVR) or may sometimes be called by the older term total peripheral resistance (TPR), while the resistance offered by the pulmonary circulation is known as the pulmonary vascular resistance ...
The surface-area-to-volume ratio or surface-to-volume ratio (denoted as SA:V, SA/V, or sa/vol) is the ratio between surface area and volume of an object or collection of objects. SA:V is an important concept in science and engineering. It is used to explain the relation between structure and function in processes occurring through the surface ...
D062186. In medicine, the mean arterial pressure ( MAP) is an average calculated blood pressure in an individual during a single cardiac cycle. [ 1] Although methods of estimating MAP vary, a common calculation is to take one-third of the pulse pressure (the difference between the systolic and diastolic pressures ), and add that amount to the ...
Those who remained diabetes-free for at least 4 years had a 26% lower risk of all-cause mortality and a 40% lower risk of vascular problems. Participants who remained free of diabetes for at least ...
List of free analog and digital electronic circuit simulators, available for Windows, macOS, Linux, and comparing against UC Berkeley SPICE. The following table is split into two groups based on whether it has a graphical visual interface or not. The later requires a separate program to provide that feature, such as Qucs-S, [ 1] Oregano, [ 2 ...
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Analogously, the model produced by SVR depends only on a subset of the training data, because the cost function for building the model ignores any training data close to the model prediction. Another SVM version known as least-squares support vector machine (LS-SVM) has been proposed by Suykens and Vandewalle. [39]