The tensile modulus of articular cartilage is much larger than its compressive modulus. This tension-compression nonlinearity enhances interstitial fluid pressurization and decreases the frictional coefficient. The current set of studies examines the tensile and compressive properties of cylindrical chondrocyte-seeded agarose constructs over different developmental stages through a novel method...

Since the first investigations on web graph compression, it has been clear that the ordering of the nodes of the graph has a fundamental influence on the compression rate (usually expressed as the number of bits per link). The authors of the LINK database [2], for instance, investigated three different approaches: an extrinsic ordering (URL ordering) and two intrinsic orderings based on the row...

High-performance polymer fibres offer promising tensile and physical properties but are rarely used in structural composite applications due to their poor compressive performance. To better understand performance inside a composite, unidirectional thermoset composites made with three types of were tested shear-loaded compression. The results confirmed the despite good fibre alignment, low poros...

This study evaluates the effectiveness of using different plasma treatments to favor compatibility between rubber and a cement matrix in composites, thus leading surface reactivity component. Plasma-treated rubbers were introduced into two types concrete. Mechanical tests highlighted that Portland concrete composites filled with N2/H2 plasma-treated had increased flexural strength, toughness, c...

Motivated by a model that qualitatively captured the response of vertically aligned carbon nanotube (VACNT) pillars in uniaxial compression, we consider the uniaxial tensile response of a class of compressible elastic-viscoplastic solids. In Hutchens et al. [“Analysis of Uniaxial Compression of Vertically Aligned Carbon Nanotubes,” J. Mech. Phys. Solids, 59, pp. 2227–2237 (2011), Erratum 60, 17...

We consider principal curves and surfaces in the context of multivariate regression modelling. For predictor spaces featuring complex dependency patterns between the involved variables, the intrinsic dimensionality of the data tends to be very small due to the high redundancy induced by the dependencies. In situations of this type, it is useful to approximate the high-dimensional predictor spac...

Motivation The rapidly increasing number of genomes generated by high-throughput sequencing platforms and assembly algorithms is accompanied by problems in data storage, compression and communication. Traditional compression algorithms are unable to meet the demand of high compression ratio due to the intrinsic challenging features of DNA sequences such as small alphabet size, frequent repeats ...

Detecting and localizing image manipulation are necessary to counter malicious use of editing techniques. Accordingly, it is essential distinguish between authentic tampered regions by analyzing intrinsic statistics in an image. We focus on JPEG compression artifacts left during acquisition editing. propose a convolutional neural network that uses discrete cosine transform (DCT) coefficients, w...