recognizing of river flow pattern, deposition and erosion areas in meanders is highly important. despite the limitations of the physical models in laboratory investigation of flow pattern in meanders, mathematical models can be helpful. in this research, rsm and les turbulence models have been compared on sharp river bend of a laboratory flume using fluent software. the laboratory flume is a sh...

X-ray variability of the microquasar XTE J1550-564 is studied with time domain techniques for the data from the RXTE/PCA observation in September 8, 1998. The 2–60 keV averaged shot is obtained from superposing shots with one millisecond time bin through aligning their peaks. The spectral behavior during the averaged shot exhibits prominent differences from that observed in Cyg X1. The hardness...

Background: Knowledge about the anatomy of root canals is an important facror in the prognosis of  root canal  therapy .The purpose  of  this  study is to derermine  the root  canal anatomy in  mandibalar anterior  reeth and  premolars by clear and dye peneration method. Materials and methods:In this  study, 350 human mandibular anterior teeth and  mandibular  and  maxillary premolars(from e...

We consider construction of empirical formulas for predicting new averaged experimental data from a finite number of the old ones so as to point out the relevant technical problems. The main problem is that there is always only a finite number of inaccurate data at our disposal. As an example, we construct empirical formulas for describing Planck’s law in terms of averaged experimental data. PA...

One of the challenges in the large scale simulations required for biomolecular system is the recording, monitoring and visualization of configurational information from molecular dynamics trajectories. A detailed record of instantaneous configuration along the full trajectory can quickly become unmanageable. In this paper we will describe an alternative approach where configurations averaged ov...

Active inference offers a principled account of behavior as minimizing average sensory surprise over time. Applications active to control problems have heretofore tended focus on finite-horizon or discounted-surprise problems, despite deriving from the infinite-horizon, average-surprise imperative free-energy principle. Here we derive an formulation optimal principles. Our returns roots in neur...