10,000+ Times Accelerated Robust Subset Selection (ARSS)

Subset selection from massive data with noised information is increasingly popular for various applications. This problem is still highly challenging as current methods are generally slow in speed and sensitive to outliers. To address the above two issues, we propose an accelerated robust subset selection (ARSS) method. Specifically in the subset selection area, this is the first attempt to employ the $\ell_{p}(0<p\leq1)$-norm based measure for the representation loss, preventing large errors from dominating our objective. As a result, the robustness against outlier elements is greatly enhanced. Actually, data size is generally much larger than feature length, i.e. $N\gg L$. Based on this observation, we propose a speedup solver (via ALM and equivalent derivations) to highly reduce the computational cost, theoretically from $O(N^{4})$ to $O(N{}^{2}L)$. Extensive experiments on ten benchmark datasets verify that our method not only outperforms state of the art methods, but also runs 10,000+ times faster than the most related method

Ethyl 2-(4-chloro­phenyl)-3-(2,4-di­fluoro­phenoxy)acrylate

In the mol­ecule of the title compound, C17H13ClF2O3, the dihedral angles formed by the aromatic rings of the chloro­benzene and difluoro­benzene groups with the plane of the acrylate unit are 48.85 (12) and 9.07 (14)°, respectively. In the crystal structure, mol­ecules are linked by weak inter­molecular C—H⋯O hydrogen-bond inter­actions, forming chains along the c axis

An approach for parameter estimation of combined CPPM and LFM radar signal

AbstractIn this paper, the problem of parameter estimation of the combined radar signal adopting chaotic pulse position modulation (CPPM) and linear frequency modulation (LFM), which can be widely used in electronic countermeasures, is addressed. An approach is proposed to estimate the initial frequency and chirp rate of the combined signal by exploiting the second-order cyclostationarity of the intra-pulse signal. In addition, under the condition of the equal pulse width, the pulse repetition interval (PRI) of the combined signal is predicted using the low-order Volterra adaptive filter. Simulations demonstrate that the proposed cyclic autocorrelation Hough transform (CHT) algorithm is theoretically tolerant to additive white Gaussian noise. When the value of signal noise to ratio (SNR) is less than −4dB, it can still estimate the intra-pulse parameters well. When SNR=−3dB, a good prediction of the PRI sequence can be achieved by the Volterra adaptive filter algorithm, even only 100 training samples

Highly stable and active Ni-doped ordered mesoporous carbon catalyst on the steam reforming of ethanol application

AbstractA novel one-step direct synthesis of nickel embedded in an ordered mesoporous carbon catalyst (NiOMC) is done in a basic medium of nonaqueous solution by a solvent evaporation-induced self-assembly process. The NiOMC sample is characterized by a variety of analytical and spectroscopy techniques, e.g., N2 adsorption/desorption isotherm measurement, X-ray diffraction (XRD), transmission electron microscopy (TEM) and temperature-programed reduction (TPR). In this study, the NiOMC catalyst is found to exhibit superior catalytic activity for the steam reforming of ethanol (SRE), showing high hydrogen selectivity and durability. Ethanol can be completely converted at 350°C over the NiOMC catalyst. Also, the durability of the NiOMC catalyst on the SRE reaction exceeds 100h at 450°C, with SH2 approaching 65% and SCO of less than 1%

An efficient route for electrooxidation of methanol to dimethoxymethane using ionic liquid as electrolyte

An ionic liquid 1-ethyl-3-methyl imidazolium tetrafloroborate (EmimBF4) was found to be highly active for one-pot synthesis of dimethoxymethane (DMM) by electrooxidation of methanol on platinum electrode, exhibiting 34.7% conversion, 96.9% selectivity to DMM, high current efficiency (99.2%) as well. The electrode reaction mechanism was proposed according to the experimental results and reported literature

The Individual and Combined Effects of Deoxynivalenol and Aflatoxin B1 on Primary Hepatocytes of Cyprinus Carpio

Aflatoxin B1 (AFB1) and deoxynivalenol (DON) are important food-borne mycotoxins that have been implicated in animal and human health. In this study, individual and combinative effects of AFB1 and DON were tested in primary hepatocytes of Cyprinus carpio. The results indicated that the combinative effects of AFB1 and DON (0.01 μg/mL AFB1 and 0.25 μg/mL DON; 0.02 μg/mL AFB1 and 0.25 μg/mL DON; 0.02 μg/mL AFB1 and 0.5 μg/mL DON) were higher than that of individual mycotoxin (P < 0.05). The activity of AST, ALT and LDH in cell supernatant was higher than that of control group (P < 0.05) when the mycotoxins were exposed to primary hepatocytes for 4 h. The decreased cell number was observed in tested group by inverted light microscopy. The mitochondrial swelling, endoplasmic reticulum dilation and a lot of lipid droplets were observed in primary hepatocytes by transmission electron microscope. Therefore, this combination was classified as an additive response of the two mycotoxins