purpose: this study aimed to measure the information load of words in farsi scientific texts and determine the relationship between some properties of the words and information load of the texts based on shannon entropy. methodology: the study was conducted based on the content analysis of a number of 320 articles that were published in scientific-research iranian journals in 2009. and the arti...

The Shannon entropy, one of the cornerstones information theory, is widely used in physics, particularly statistical mechanics. Yet its characterization and connection to physics remain vague, leaving ample room for misconceptions misunderstanding. We will show that entropy can be fully understood as measuring variability elements within a given distribution: it characterizes how much variation...

One considers a class of fractional random processes defined as non-random dynamics subject to Gaussian white noises in coarse-grained time, according to Maruyama’s notation. After some prerequisites on modified Riemann-Liouville fractional derivative, fractional Taylor’s series and integration with respect to (dx)α , one displays the main results which are as follows: firstly, a general scheme...

BACKGROUND As reported in our previous studies, the complexity of physiologic time series is a sensitive measure of muscle fatigability. This study compared the differences between 2 different analyses following 4 weeks of core stability exercises (CSE) in subjects with and without chronic low back pain (LBP). We examined whether the observed Shannon (information) entropy, as compared with medi...