Control variablesare crucial to scientifically sound experiments and studies. Acontrol variableis sometimes simply called acontrol.Both terms are widely used in science and statistics. Why arecontrol variablesimportant? Science is messy. We like to think of experimentation as a simple process of “cha...
The variable nature of cognitive control: a dual mechanisms framework Trends Cogn. Sci. (Regul. Ed.), 16 (2) (2012), pp. 106-113, 10.1016/j.tics.2011.12.010 View PDFView articleView in ScopusGoogle Scholar Chatham et al., 2009 C.H. Chatham, M.J. Frank, Y. Munakata Pupillometric...
A FLC is designed (Guclu & Yazici, 2008) for a 15-story structure with two type of actuators, one mounted on the first floor and the other actuator (ATMD) on the fifteenth floor. The proposed FLC uses the position error and their derivatives as the input variable to produce the control ...
While the intention is not to come to the real meaning of MHC, this analysis brings up the many issues that should be considered if meaningful human control is to be realized. These include: which humans count as meaningful in the application context, whether the control those humans are ...
Cells that by themselves carry no information in their FR can influence the representation of a variable at the population level if their activity is correlated with other cells35,36. We hypothesized that PAC neurons might have this role during WM maintenance. In both the hippocampus (162 pairs...
Abstract A double-edged sword in two-dimensional material science and technology is optically forbidden dark exciton. On the one hand, it is fascinating for condensed matter physics, quantum information processing, and optoelectronics due to its long lifetime. On the other hand, it is notorious fo...
The inverted pendulum is a typical multi-variable and non-linear system. It is hard to improve its performance because of modeling difficulty, parametric uncertainties during actual system operation. Iterative Learning Control (ILC) can achieve perfect tracking or performance when there is model uncerta...
The primary analysis compared mean systolic BPs between the intervention group and the control group using a linear mixed-effects model, adjusting for mean baseline systolic BP and parity (as a binary variable), and including a random effect for recruitment site to account for possible differences ...
Suppose for the moment that x is a global variable in a language with a value model of variables, and that we wish to pass x as a parameter to subroutine p: p(x); From an implementation point of view, we have two principal alternatives: we may provide p with a copy of x's value...
normally encountered in any production process. Some fundamental statistical parameters are computed from the data to represent the distribution. The common parameters are – (a) for central tendency, i.e., the value of the variable around which the individual values are scattered, is the ...