TWO FORMULAS FOR SMARANDACHE LCM RATIO SEQUENCES

In this paper, a reduction formula for Smarandache LCM ratio sequences SLR(6)and SLR(7) are given

The Application of Reading Circles Model in English Reading Teaching in Senior Middle School

There are various input methods for language learning, among which reading is the most important one. English reading class in High school aims to cultivate students’ comprehensive literacy by guiding them to think independently and actively participate in reading activities. The new curriculum standard proposes that English reading teaching in high school should focus on strengthening the cultivation of English subject competence. Thus, the effect of the reading circle model on students’ English reading is consistent with the educational purposes required by the core literacy of the English subject. Therefore, the article tries to explore the effect of reading circle on improving secondary school students’ English reading ability

Neural Mechanism of Language

This paper is based on our previous work on neural coding. It is a self-organized model supported by existing evidences. Firstly, we briefly introduce this model in this paper, and then we explain the neural mechanism of language and reasoning with it. Moreover, we find that the position of an area determines its importance. Specifically, language relevant areas are in the capital position of the cortical kingdom. Therefore they are closely related with autonomous consciousness and working memories. In essence, language is a miniature of the real world. Briefly, this paper would like to bridge the gap between molecule mechanism of neurons and advanced functions such as language and reasoning.Comment: 6 pages, 3 figure

Thinning and thickening in active microrheology

When pulling a probe particle in a many-particle system with fixed velocity, the probe's effective friction, defined as average pulling force over its velocity, $\gamma_{eff}:=\langle F_{ex}\rangle/u$, first keeps constant (linear response), then decreases (thinning) and finally increases (thickening). We propose a three-time-scales picture (TTSP) to unify thinning and thickening behaviour. The points of the TTSP are that there are three distinct time scales of bath particles: diffusion, damping, and single probe-bath (P-B) collision; the dominating time scales, which are controlled by the pulling velocity, determine the behaviour of the probe's friction. We confirm the TTSP by Langevin dynamics simulation. Microscopically, we find that for computing the effective friction, Maxwellian distribution of bath particles' velocities works in low Reynolds number (Re) but fails in high Re. It can be understood based on the microscopic mechanism of thickening obtained in the $T=0$ limit. Based on the TTSP, we explain different thinning and thickening observations in some earlier literature