Soil spatial variability has a significant impact on the reliability of geotechnical structures. In particular, horizontal is important for linear infrastructure, which only limited vertical height and width, but extensive length. Due to depositional geological processes, often substantially different in lateral directions. This can be characterised by correlation length, or scale fluctuation, ...

background: magnetic resonance imaging (mri) has improved the diagnosis and management of patients with multiple sclerosis (ms). montreal cognitive assessment (moca) is a brief, sensitive test that has been recommended by national institute of neurological diseases and stroke and canadian stroke network (ninds-csn) as a reliable tool to detect mild cognitive impairments. this study aimed to eva...

Accountability concerns in language education call for the development of more valid and authentic measures of assessment. In light of these concerns, performance assessment has received increasing interest in the context of teacher education programs and teacher licensing over the last decade. In Iran, a recent policy adopted by Farhangian University aims at assessing the professional competen...

The present study was an attempt to investigate the comparative effect of teacher-, peer-, andself-assessment on EFL learners’ vocabulary achievement. Accordingly, 90 female Englishlanguage learners selected out of an initial 140 intermediate EFL learners based on theirperformance on a sample piloted PET took part in the study. All three groups were taught bythe same teacher using the same cour...

in the present paper, we rst modify the concepts of weakly fuzzy boundedness, strongly fuzzy boundedness, fuzzy continuity, strongly fuzzy continuity and weakly fuzzy continuity. then, we try to nd some relations by making a comparative study of the fuzzy norms of linear operators.

in this paper, we introduce the concepts of norm and inner prod- uct on fuzzy linear spaces over fuzzy elds and discuss some fundamental properties.

An algorithm to generate samples with approximate first-, second-, and third-order moments is presented extending the Cholesky matrix decomposition to a Cholesky tensor decomposition of an arbitrary order. The tensor decomposition of the first-, second-, and third-order objective moments generates a non-linear system of equations. The algorithm solves these equations by numerical methods. The r...