Several interesting results are identified, including the characterization of attraction basins, association asymmetries, context biasing, as well as a possible power-law underlying word associations, which could be explained by the appearance of strange loops along the hierarchical structure underlying word...
What is the type of biasing required for transistor to conduct? What is the most important element for creating a magnetic field, and why? What is the spin of photons? What is a radiation curve? What is shielding and deshielding in NMR (Nuclear Magnetic Resonance)? Give an example. ...
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Why is an energy source needed in order to have a working electric circuit? What is a device that produces AC electricity? Why does our power grid use AC electricity? What is the type of biasing required for transistor to conduct?
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The switch in L/LEdd is not to be taken as sharp but as a transition in a statistical sense. The fundamental physical separation of the various AGN types may be a function of more parameters (such as spin and BH mass) and one should keep in mind that the observational data used to ...
Morin does not make a sharp conceptual distinction between reconstructive learning and motivational factors, but here is one possible means of doing so: motivational factors are implicated in biasing personal or sub-personal decisional processes as towhichbehaviour (from a behavioural repertoire) one sho...
Understanding these two biasing conditions is crucial for anyone working with electronics, as it provides insights into the diode's behaviour and its role in various applications, from power conversion to signal processing. Properly leveraging these properties ensures the optimal performance of electronic...
and convey different information, because our brains are different left and right. I believe there is clear correlations in your left and right sides of the face with what is going on inside. This is also the basis for the Hair Part Theory having its effects in biasing one over the other...
‘no biasing’ — is not entirely correct. A decision made by human based on calculation made by algorithm made by human is still a decision made by human. It can be biased, or can be not biased. The problem is, with obscure algorithm and opaque data you can’t really tell. And you...