zno and zro2 photo catalysts were synthesized by sol-gel auto combustion method. the products were characterized by x-ray diffraction (xrd) and scanning electron microscopy (sem). structural and morphological properties of nano particles were investigated and the average crystalline size of zno and zro2 was obtained 44 and 51 nm, respectively. also, photo catalytic degradation of nitro phenol f...

STUDY OBJECTIVES Auto-continuous positive airway pressure (CPAP) has been reported to have no more efficacy than constant CPAP in unselected patients with sleep apnea hypopnea syndrome (SAHS). The aim of this study was to evaluate patients judged to be good candidates for auto-CPAP because of a high within-night variability in pressure requirement. DESIGN Single-blind, randomized, cross-over ...

OpenTuner can help users achieve better or more portable performance in their speci c domain through program autotuning. A key challenge for users seeking good autotuning performance in OpenTuner is selecting a search approach appropriate for problem. However, not only are current in-situ learning search approaches not robust enough to handle all search spaces, but there are also too many possi...

The transition from outcrossing to self-fertilization is one of the most common evolutionary changes in angiosperms. The orchid family exemplifies this evolutionary trend but, because of a general lack of large-scale surveys on auto-pollination in orchid taxa, the incidence and modes of auto-pollination among (sub)tropical orchids remain poorly known. In the present study, we assessed the frequ...

OBJECTIVES The objective of this study was to investigate the role that psychopathological dimensions as overt aggression and impulsivity play in determining suicide risk in benign chronic pain patients (CPPs). Furthermore we investigated the possible protective/risk factors which promote these negative feelings, analyzing the relationship between CPPs and their caregivers. METHODS We enrolle...

OpenTuner can help users achieve better or more portable performance in their speci c domain through program autotuning. A key challenge for users seeking good autotuning performance in OpenTuner is selecting a search approach appropriate for problem. However, not only are current in-situ learning search approaches not robust enough to handle all search spaces, but there are also too many possi...

The process of empirical autotuning results in the generation of many code variants which are tested, found to be suboptimal, and discarded. By retaining annotated performance profiles of each variant tested over the course of many autotuning runs of the same code across different hardware environments and different input datasets, we can apply machine learning algorithms to generate classifier...

To abate the enormous costs incurred in the transmission and storage of SAR data, we present here a seg-mentation driven compression technique using hierarchical stochastic modeling within a multiscale framework. Our approach to SAR image compression is unique in that we exploit the multiscale stochastic structure inherent in SAR imagery. This structure is well captured by a set of scale auto-r...

I present the current status of the cosmic magnification produced by systematic amplification of background sources by large-scale structures. After introducing its principle, I focus on its interests for cosmology and underline its complementary aspect to cosmic shear and galaxy auto-correlations. I finally discuss recent investigations using higher-order statistics.