LPNN-based approach for LASSO problem via a sequence of regularized minimizations

In compressive sampling theory, the least absolute shrinkage and selection operator (LASSO) is a representative problem. Nevertheless, the non-differentiable constraint impedes the use of Lagrange programming neural networks (LPNNs). We present in this article the -LPNN model, a novel algorithm that tackles the LASSO minimization together with the underlying theory support. First, we design a sequence of smooth constrained optimization problems, by introducing a convenient differentiable approximation to the non-differentiable -norm constraint. Next, we prove that the optimal solutions of the regularized intermediate problems converge to the optimal sparse signal for the LASSO. Then, for every regularized problem from the sequence, the -LPNN dynamic model is derived, and the asymptotic stability of its equilibrium state is established as well. Finally, numerical simulations are carried out to compare the performance of the proposed -LPNN algorithm with both the LASSO-LPNN model and a standard digital method.     

Unexploited Thapsia garganica,Orlaya maritima,and Retama raetam Seeds: Potential Sources of Unsaturated Fatty Acid and Natural Antioxidants

Total lipid contents, fatty acid compositions, phenolic profiles and antioxidants activities of seeds from Thapsia garganica, Orlaya maritima, and Retama raetam were investigated. The oil values were more than 26 %, except seeds of R. raetam (ca. 3 %). Unsaturated fatty acids accounted for the majority of the fatty acids (more than 75 %). Oleic and linoleic acid were the predominant fatty acids. Total phenolic compounds (24–104 mg GAE g^?1 DR), total flavonoids (4–102 mg QE g^?1g DR), total tannins (28–85 mg GAE g^?1 DR) and condensed tannins (0.62–131 mg CE g^?1 DR) were also determined. The antioxidant activities using different assays were evaluated. The predominant detected classes were the phenolic acids (42–85 %) and the flavonoids (11–48 %). The major phenolic acids were caffeic, trans‐4‐hydroxy‐3‐methoxycinnamic, p‐coumaric, and gallic acid. The predominant flavonoids were quercetin, luteolin, naringin, apigenin, and kaempferol. This study brings attention to the medicinal importance of these species as a source of oil and antioxidant molecules.     

Optimization of printing parameters for improvement of mechanical and thermal performances of 3D printed poly(ether ether ketone) parts

Many processing parameters can be adjusted to optimize the fused filament fabrication (FFF) process, a popular and widely used additive manufacturing techniques for plastic materials. Among those easily adjusted parameters are the nozzle temperature, printing speed, raster orientation, and layer thicknesses. Using poly(ether ether ketone) (PEEK) as the base material, a design of experiments analysis was performed on the main FFF parameters. A response surface methodology was applied to analyze the results and to maximize the output responses. Results have shown that the nozzle temperature is the most influential parameter on tensile properties and the crystallinity degree of printed PEEK by FFF process. Parts produced with optimized FFF parameters were then subjected to an annealing treatment to induce a relaxation of residual stress and to enhance crystallinity. The best properties for 3D printed PEEK parts were achieved with annealed parts prepared at 400°C with a printing speed of 30 mm/s, 0.15 mm layer thickness and raster orientation of [0°/15°/−15°]. The resulting parts have mechanical properties comparable to those of injected PEEK.     

Global‐view coefficients: a data management solution for parallel quantum Monte Carlo applications

Quantum Monte Carlo (QMC) applications perform simulation with respect to an initial state of the quantum mechanical system, which is often captured by using a cubic B‐spline basis. This representation is stored as a read‐only table of coefficients and accesses to the table are generated at random as part of the Monte Carlo simulation. Current QMC applications, such as QWalk and QMCPACK, replicate this table at every process or node, which limits scalability because increasing the number of processors does not enable larger systems to be run. We present a partitioned global address space approach to transparently managing this data using Global Arrays in a manner that allows the memory of multiple nodes to be aggregated. We develop an automated data management system that significantly reduces communication overheads, enabling new capabilities for QMC codes. Experimental results with QWalk and QMCPACK demonstrate the effectiveness of the data management system. Copyright © 2016 John Wiley & Sons, Ltd.     

Pituitary adenylate cyclase-activating polypeptide stimulates both c-fos gene expression and cell survival in rat cerebellar granule neurons through activation of the protein kinase A pathway

A high density of pituitary adenylate cyclase-activating polypeptide (PACAP) receptors coupled to both adenylyl cyclase and phospholipase C is found in the external granule cell layer of the rat cerebellum during postnatal development. It has recently been reported that synthetic PACAP promotes cell survival and neurite outgrowth in immature granule cells. In the present study, we have investigated the transduction pathways that mediate the neurotrophic activity of PACAP in cultured granule cells from eight-day-old rat cerebellum. The effect of PACAP on cell survival was mimicked by dibutyryladenosine 3',5'-cyclic-monophosphate but not phorbol 12-myristate 13-acetate suggesting that only the adenylyl cyclase pathway is involved in the neurotrophic activity of PACAP. PACAP also induced a transient increase in c-fos messenger RNA level. The ability of PACAP to stimulate c-fos gene expression was mimicked by dibutyryladenosine 3',5'-cyclic-monophosphate but not phorbol 12-myristate 13-acetate. Similar effects of PACAP on granule cell survival were observed whether the cells were continuously incubated with PACAP for 48 h or only exposed to PACAP during 1 h. The protein kinase A inhibitor H89 significantly reduced the effect of PACAP on c-fos messenger RNA level whereas the specific protein kinase C inhibitor chelerythrine did not modify c-fos gene expression. These data indicate that the action of PACAP on cerebellar granule cell survival and c-fos gene expression are both mediated through the adenylyl cyclase/protein kinase A pathway. The observation that a short-term stimulation by PACAP can be converted into a long-lasting response indicates that the effect of the peptide on cell survival must involve immediate-early gene activation. The fact that a brief exposure to PACAP causes both c-fos gene expression and promotes cell survival strongly suggests that c-fos is involved in the trophic effect of PACAP on immature cerebellar granule cells.     

Radiation induced carbon complexes in gallium arsenide

Gallium arsenide grown by the metallorganic chemical vapour deposition method and n-doped to various silicon concentrations was irradiated with reactor neutrons (1 MeV equivalent damage in silicon) in the fluence range 0 to 3 × 10¹⁵ cm⁻². Native defects, including carbon which is a residual impurity of the growth method, and those introduced by irradiation, were characterized by photoluminescence (PL) and deep level transient spectroscopy (DLTS). In some samples with fixed doping value, the PL intensity of all the transitions, including that to the carbon impurity increases at low fluence levels before decreasing at high fluence. At higher fluences, the transition to the carbon impurity goes through other maxima. The carbon PL intensity versus fluence curve depends on initial doping. DLTS results reveal the removal of a trap EL12 at low fluences, but the introduction of other traps at higher fluences. The defect introduction rates depend on fluence. We attribute the variation in the carbon PL intensity to an interaction between the defects introduced by the irradiation and the carbon impurity.     

Improvement of multicrystalline silicon solar cell performance via chemical vapor etching method-based porous silicon nanostructures

In this paper, we report on the effect of chemical vapor etching-based porous silicon (PS) on the performance of multicrystalline silicon solar cells performed via deep n⁺/p junction-type structures. Chemical vapor etching of silicon leads to the formation of porous silicon (PS) nanostructures that dramatically decrease the surface reflectivity from 30% to about 8%, and increase the minority carrier diffusion lengths from 90 μm to 170 μm. As a result, the short-circuit current density was improved by more than 20% and the fill factor (FF) by about a 10%. An enhancement of the photovoltaic conversion energy efficiency of the solar cells from 7% to 10% was observed. This low-cost PS formation process can be applied in the photovoltaic cell technology as a standard procedure.     

Corrosion and scale inhibition of low carbon steel in cooling water system by 2-propargyl-5-o-hydroxyphenyltetrazole

The 2-propargyl-5-o-hydroxyphenyltetrazole (PHPT) has been tested as corrosion inhibitor for low carbon steel in simulated cooling water. The polarization curves showed that PHPT acts as mixed-type inhibitor. Its inhibition efficiency was found to enhance with increase of the inhibitor concentration and immersion time due to the formation of the inhibitor film on the metal surface as indicated by electrochemical impedance spectroscopy measurements.To complete the formulation further, a non oxidizing biocide was added. Its presence with PHPT does not affect its inhibitory performance and it can be served as a basic component of the formulation for cooling water system.