We present a new English→Czech machine translation system combining linguistically motivated layers of language description (as defined in the Prague Dependency Treebank annotation scenario) with statistical NLP approaches.

Introduction: Natural materials are more efficient and attractive than synthetic materials. In this study, the sound absorption behavior by natural kenaf composite and Micro-Perforated Panel (MPP) at low and medium frequency region was investigated. Material and Methods: Initially, the results of kenaf fibers with a thickness of 10 mm were validated by the Finite Element Method (FEM) based on ...

Elements of networks interact in many ways, so modeling them with graphs requires multiple types of edges (or network layers). Here we show that such multiplex networks are generically more vulnerable to global cascades than simplex networks. We generalize the threshold cascade model [Watts, Proc. Natl. Acad. Sci. USA 99, 5766 (2002)] to multiplex networks, in which a node activates if a suffic...

A numerical study is conducted to compare the current most popular flow field configurations, porous, biporous, porous with baffles, Toyota 3D fine-mesh, and traditional rectangular field. Operation at high densities considered elucidate effect of designs on overall heat transfer liquid water removal. comprehensive 3D, multiphase, nonisothermal computational fluid dynamics model developed based...

Mikro Systems Inc. (MSI) has developed a high volume manufacturing process for producing complex, netshape, micro-to-meso scale structures from advanced materials comprised of powdered metals, ceramics, and polymers. This process, called Tomo-Lithographic-Molding (TLMTM), hinges upon a high-resolution master tool composed from lithographically micro-machined layers, precisely aligned and stack ...

The “fire together, wire together” Hebbian learning model is a central principle in neuroscience, but, surprisingly, it has found limited applicability in modern machine learning. In this paper, we show that neuro-plausible variants of competitive Hebbian learning provide a promising foundation for bottom-up deep learning. We propose an unsupervised learning algorithm termed Adaptive Hebbian Le...

Stackable gels comprised of layers of dissimilar polymers were synthesized by combining conventional free radical polymerization (FRP) and atom transfer radical polymerization (ATRP) using two approaches: (i) polymerization of a pre-gel solution containing a monomer and cross-linker introduced on top of a previously prepared gel, and (ii) simultaneous polymerization of two immiscible pre-gel so...

quantitative valuations of observed heterosis for 11 traits of 15 f1 hybrids generated by half diallel crosses of six diverse rice cultivars (domsefid, hashemi and binam, three iranian local cultivars; dorfak, kadous and ir30, three improved cultivars), were made in this study. fifteen f1 hybrids and their parents were evaluated in a randomized complete block design with three replications at t...

in order to produce new hybrids and evaluate the general and specific combining ability of sunflower inbred lines and restorers, four inbred lines and six restorers were selected in 2004. twenty-four f1 hybrids were derived in 2004 and evaluated on a rcbd design with three replications in 2005. the results of variance analysis showed that treatments were significantly different for all traits e...

Split root experiments have the potential to disentangle water transport in roots and soil, enabling the investigation of the water uptake pattern of a root system. Interpretation of the experimental data assumes that water flow between the split soil compartments does not occur. Another approach to investigate root water uptake is by numerical simulations combining soil and root water flow dep...