Titlebook: Uncertain Logics, Variables and Systems; Zdzislaw Bubnicki Book 2002 Springer-Verlag Berlin Heidelberg 2002 Mathematica.calculus.dynamical

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farewell

"tree" of knowledge of mathematics and related fields does not grow only by putting forth new branches. It also happens, quite often in fact, that branches which were thought to be completely disparate are suddenly seen to be related. Further, the kind and level of sophistication of mathematics appl

brachial-plexus

ons have been reported in numerous papers [3,5–7,11,13,15]. General opinions about the effect of such transplantations are favorable. Literature reports have dealt mainly with the use of grafts in particular clinical situations and that do not permit the direct evaluation of the role of grafts. This

耐寒

energy. The skeletal muscle cell is called muscle fiber, or myofiber. The basic contractile unit of the myofibrils is called sarcomere. There are two general types of skeletal muscle fibers: slow-twitch (type I) and fast-twitch (type II). Slow-twitch muscles are activated in long resistance exercis

Camouflage

rthopedic surgeons and other clinicians should integrate pillow therapy into their daily practice. Conversely, it is important to know the limitations of pillow therapy to understand the correct use..We will also present the timing for determining the effectiveness of pillow therapy, or other possib

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Book 2002 Systems Engineering of Wroclaw University of Technology, who assisted in the preparation of the manuscript. My special thanks go to Dr L.Siwek for the valuable remarks and for his work concerning the formatting of the text.

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s, synergetics and large-s.cale order", which are almost impossible to fit into the existing classifica­ tion schemes. They draw upon widely different sections 978-94-010-8807-7978-94-009-5215-7Series ISSN 0169-507X

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Comparison, Analogies and Generalisation, distribution .(.) = .(.) (or probability density .(.) = .’ (.) if this exists) where .(.) is the probability that .≤ .. In discrete case .(probability that .). For example, if . is a set of 100 persons and 20 of them have the age ., then the probability that a person chosen randomly from . has .is

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