530 research outputs found

    Noise-Boosted Convolutional Neural Network for Edge-based Motor Fault Diagnosis with Limited Samples

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    Convolutional neural networks (CNNs) have been widely applied in motor fault diagnosis. However, to obtain high recognition accuracy, massive training data are typically required and transmitted to the cloud/local server for training, which may suffer from security and privacy problems. In this study, a noise-boosted CNN (NBCNN) model is developed to achieve accelerated training and improved recognition accuracy with limited training samples. First, the NBCNN model with a noise-injection fully connected layer is established. Then, a strategy for noise selection and injection is proposed to obtain an optimal matching among the data, model, and noise. Finally, the optimal injected noise accelerates the convergence of model training and improves the accuracy of motor fault diagnosis. Compared with the conventional CNN without noise injection and the state-of-the-art models, the effectiveness and superiority of the proposed NBCNN model are validated by two benchmark datasets. In addition, the algorithm is deployed onto an edge device and the results show that the training speed of the developed NBCNN can reach nine times faster than the conventional CNN. The proposed method shows remarkable potential for distributed model training, federal learning, and real-time motor fault diagnosis

    Core-sheath nanofibers as drug delivery system for thermoresponsive controlled release

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    In this work, a smart drug delivery system of core–sheath nanofiber is reported. The core-sheath nanofibers were prepared with thermoresponsive poly-(N-isopropylacrylamide) (PNIPAAm) (as core) and hydrophobic ethylcellulose (EC) (as sheath) by coaxial electrospinning. Analogous medicated fibers were prepared by loading with a model drug ketoprofen (KET). The fibers were cylindrical without phase separation and have visible core-sheath structure as shown by scanning and transmission electron microscopy. X-ray diffraction patterns demonstrated the drug with the amorphous physical form was present in the fiber matrix. Fourier transform infrared spectroscopy analysis was conducted, finding that there were significant intermolecular interactions between KET and the polymers. Water contact angle measurements proved that the core-sheath fibers from hydrophobic transformed into hydrophobic when the temperature reached the lower critical solution temperature. In vitro drug-release study of nanofibers with KET displayed that the coaxial nanofibers were able to synergistically combine the characteristics of the two polymers producing a temperature-sensitive drug delivery system with sustained release properties. In addition, they were established to be non-toxic and suitable for cell growth. These findings show that the core–sheath nanofiber is a potential candidate for controlling drug delivery system

    Mulberry Leaf Regulates Differentially Expressed Genes in Diabetic Mice Liver Based on RNA-Seq Analysis

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    The pathogenesis of diabetes mellitus is a complicated process involving much gene regulation. The molecular mechanism of mulberry (Morus alba L.) leaf in the treatment of diabetes is not fully understood. In this study, we used the Illumina HiSeq™ 2,500 platform to explore the liver transcriptome of normal mice, STZ-induced diabetic mice, and mulberry leaf-treated diabetic mice, and we obtained 52,542,956, 52,626,414, and 52,780,196 clean reads, respectively. We identified differentially expressed genes (DEGs) during the pathogenesis of diabetes in mice. The functional properties of DEGs were characterized by comparison with the GO and KEGG databases, and the results show that DEGs are mainly involved in the metabolic pathway. qRT-PCR was used to analyse 27 differential genes involved in liver expression in different groups of diabetic mice. Among the DEGs, the expression of Scube1, Spns3, Ly6a, Igf2, and other genes between the control (C) and diabetic control (DC) groups was significantly upregulated; the expression of Grb10, Mup2, and Fasn was significantly downregulated; the expression of the Sqle, Lss, and Irs2 genes between the C group and diabetic group treated with mulberry (DD) was significantly upregulated; the expression of Fabp2, Ly6a, and Grb10 was significantly downregulated; and the expression of Sqle and Lss was significantly upregulated in the DC and DD groups, but Tap1, Igf2, and Spns3 were significantly downregulated. The results of Western blot validation showed that dynamic changes in proteins, such as IGF2, Ly6a, Grb10, and UBD, occurred to regulate the incidence of diabetes by influencing the insulin receptor substrate (IRS) signaling pathway

    Sn nanoparticles on gas diffusion electrodes: Synthesis, characterization and use for continuous CO2 electroreduction to formate

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    Electrochemical reduction of CO2 has been pointed out as an interesting strategy to convert CO2 into useful chemicals. In addition, coupling CO2 electroreduction with renewable energies would allow storing electricity from intermittent renewable sources such as wind or solar power. In this work, an easy and fast method is adapted for the synthesis of pure and carbon supported Sn nanoparticles. The resulting nanoparticles have been characterized by transmission electron microscopy and their electrocatalytic properties towards CO2 reduction evaluated by cyclic voltammetry. Carbon supported Sn nanoparticles have been subsequently used to prepare Gas Diffusion Electrodes (Sn/C-GDEs). The electrodes have been characterized by scanning electron microscopy and also by cyclic voltammetry. Finally, the electrodes were tested on a continuous and single pass CO2 electroreduction filter-press type cell system in aqueous solution, to obtain formate at ambient pressure and temperature. These Sn/C-GDEs allow working at high current densities with low catholyte flow. Thus, for instance, at 150 mA cm−2, a 70% Faradaic Efficiency (FE) was obtained with a formate concentration of 2.5 g L−1. Interestingly, by increasing the current density to 200 mA cm−2 and decreasing the flow rate, a concentration over 16 g L−1 was reached. Despite the high concentrations obtained, further research is still required to keep high FE operating at high current densities.This work was conducted under the framework of the Spanish Ministry of Economy and Competitiveness projects CTQ2013-48280-C3-1-R and CTQ2013-48280-C3-3-R. Andrés Del Castillo also acknowledges the research grant from University of Cantabria, co-financed by the Regional Government of Cantabria

    The impact of zeolite pore structure on the catalytic behavior of CuZnAl/zeolite hybrid catalysts for the direct DME synthesis

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    [EN] In this work, the influence of the pore structure of 10-ring zeolites used as the methanol dehydration func-tion in CuZnAl(CZA)/zeolite hybrid catalysts was studied for the direct dimethyl ether (DME) synthesis. Tothis purpose, six different 10-ring H-zeolites (ZSM-5, FER, IM-5, TNU-9, MCM-22, ITQ-2) with alike bulkSi/Al ratios (in the 9 14 range) were employed. Additionally, the effect of crystallite size (for ZSM-5) andselective surface dealumination by treatment with oxalic acid (for MCM-22) was also investigated. Whilethe initial activity of the zeolites for methanol dehydration was driven by the concentration of strongBrønsted acid sites, the extent of decay was dictated by the pore structure, which determined the amountand nature of the formed carbon species. When evaluated for direct DME synthesis under methanolsynthesis-controlled conditions, all CZA/zeolite hybrid catalysts (prepared by grinding, CZA:zeolite massratio of 2:1) experienced a decline of CO conversion (and DME yield) with time-on-stream (TOS) due toa gradual loss of the methanol synthesis activity of the Cu-based component. Interestingly, the stabilitywith TOS was the lowest for the hybrid catalysts comprising zeolites with large external surface areas(Sext) such as ITQ-2 and MCM-22. Moreover, for zeolites with similar Sext, the deactivation extent of thehybrid catalysts increased with the concentration of surface Al species (from XPS) in the zeolite. Thus,the delaminated ITQ-2 zeolite (Si/Alsurf= 10.6, Sext= 324 m2/g) produced the less stable hybrid while thatcomprising zeolite TNU-9 (Si/Alsurf= 17.9, Sext= 12 m2/g) displayed the highest stability during the syngas-to-DME experiments. These results suggest that the deterioration of the methanol synthesis activity ofthe CZA catalyst in the hybrid catalysts prepared by grinding is produced by detrimental interactionsbetween zeolitic Al species and Cu sites at the surface-contact between zeolite and CZA particleFinancial support by the Comision Interministerial de Ciencia y Tecnologia (CICYT) of Spain through the Project CTQ2010-17988/PPQ is gratefully acknowledged. A. Garcia-Trenco thanks the Ministerio de Economia y Competitividad (former Ministerio de Ciencia e Innovacion) of Spain for a predoctoral (FPI) scholarship.García Trenco, A.; Valencia Valencia, S.; Martinez Feliu, A. (2013). The impact of zeolite pore structure on the catalytic behavior of CuZnAl/zeolite hybrid catalysts for the direct DME synthesis. Applied Catalysis A General. 468:102-111. doi:10.1016/j.apcata.2013.08.038S10211146

    Precision Measurement of the Mass of the τ\tau Lepton

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    An energy scan near the τ\tau pair production threshold has been performed using the BESIII detector. About 2424 pb1^{-1} of data, distributed over four scan points, was collected. This analysis is based on τ\tau pair decays to eeee, eμe\mu, eheh, μμ\mu\mu, μh\mu h, hhhh, eρe\rho, μρ\mu\rho and πρ\pi\rho final states, where hh denotes a charged π\pi or KK. The mass of the τ\tau lepton is measured from a maximum likelihood fit to the τ\tau pair production cross section data to be mτ=(1776.91±0.120.13+0.10m_{\tau} = (1776.91\pm0.12 ^{+0.10}_{-0.13}) MeV/c2c^2, which is currently the most precise value in a single measurement.Comment: 13 pages, 7 figure

    Search for the radiative transitions ψ(3770)γηc\psi(3770)\to\gamma\eta_c and γηc(2S)\gamma\eta_c(2S)

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    By using a 2.92 fb1^{-1} data sample taken at s=3.773\sqrt{s} = 3.773 GeV with the BESIII detector operating at the BEPCII collider, we search for the radiative transitions ψ(3770)γηc\psi(3770)\to\gamma\eta_c and γηc(2S)\gamma\eta_c(2S) through the hadronic decays ηc(ηc(2S))KS0K±π\eta_c(\eta_c(2S))\to K^0_SK^\pm\pi^\mp. No significant excess of signal events above background is observed. We set upper limits at a 90% confidence level for the product branching fractions to be B(ψ(3770)γηc)×B(ηcKS0K±π)<1.6×105\mathcal{B}(\psi(3770)\to\gamma\eta_c)\times \mathcal{B}(\eta_c\to K^0_SK^\pm\pi^\mp) < 1.6\times10^{-5} and B(ψ(3770)γηc(2S))×B(ηc(2S)KS0K±π)<5.6×106\mathcal{B}(\psi(3770)\to\gamma\eta_c(2S))\times \mathcal{B}(\eta_c(2S)\to K^0_SK^\pm\pi^\mp) < 5.6\times10^{-6}. Combining our result with world-average values of B(ηc(ηc(2S))KS0K±π)\mathcal{B}(\eta_c(\eta_c(2S))\to K^0_SK^\pm\pi^\mp), we find the branching fractions B(ψ(3770)γηc)<6.8×104\mathcal{B}(\psi(3770)\to\gamma\eta_c) < 6.8\times10^{-4} and B(ψ(3770)γηc(2S))<2.0×103\mathcal{B}(\psi(3770)\to\gamma\eta_c(2S)) < 2.0\times10^{-3} at a 90% confidence level.Comment: 10 pages, 4 figure

    Search for C-parity violation in J/ψγγJ/ \psi \to \gamma\gamma and γϕ \gamma \phi

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    Using 1.06×1081.06\times10^8 ψ(3686)\psi(3686) events recorded in e+ee^{+}e^{-} collisions at s=\sqrt{s}= 3.686 GeV with the BESIII at the BEPCII collider, we present searches for C-parity violation in J/ψγγJ/\psi \to \gamma\gamma and γϕ \gamma \phi decays via ψ(3686)J/ψπ+π\psi(3686) \to J/\psi \pi^+\pi^-. No significant signals are observed in either channel. Upper limits on the branching fractions are set to be B(J/ψγγ)<2.7×107\mathcal{B}(J/\psi \to \gamma\gamma) < 2.7 \times 10^{-7} and B(J/ψγϕ)<1.4×106\mathcal{B}(J/\psi \to \gamma\phi) < 1.4 \times 10^{-6} at the 90\% confidence level. The former is one order of magnitude more stringent than the previous upper limit, and the latter represents the first limit on this decay channel.Comment: 7 pages, 2 figure

    Observation of the ψ(13D2)\psi(1^3D_2) state in e+eπ+πγχc1e^+e^-\to\pi^+\pi^-\gamma\chi_{c1} at BESIII

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    We report the observation of the X(3823)X(3823) in the process e+eπ+πX(3823)π+πγχc1e^+e^-\to \pi^+\pi^-X(3823) \to \pi^+\pi^-\gamma\chi_{c1} with a statistical significance of 6.2σ6.2\sigma, in data samples at center-of-mass energies s=\sqrt{s}=4.230, 4.260, 4.360, 4.420 and 4.600~GeV collected with the BESIII detector at the BEPCII electron positron collider. The measured mass of the X(3823)X(3823) is (3821.7±1.3±0.7)(3821.7\pm 1.3\pm 0.7)~MeV/c2c^2, where the first error is statistical and the second systematic, and the width is less than 1616~MeV at the 90\% confidence level. The products of the Born cross sections for e+eπ+πX(3823)e^+e^-\to \pi^+\pi^-X(3823) and the branching ratio B[X(3823)γχc1,c2]\mathcal{B}[X(3823)\to \gamma\chi_{c1,c2}] are also measured. These measurements are in good agreement with the assignment of the X(3823)X(3823) as the ψ(13D2)\psi(1^3D_2) charmonium state.Comment: 7 pages, 3 figures, version to appear in Phys. Rev. Let
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