Search Results - "Wu, B.X."

Geochemical study of crude oils from the Xifeng oilfield of the Ordos basin, China by Duan, Y., Wang, C.Y., Zheng, C.Y., Wu, B.X., Zheng, G.D.

“…The Xifeng oilfield is the largest newly-discovered oilfield in the Ordos basin. In order to determine the possible source, crude oils collected systematically…”
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Characterization of flow field in a ventilated space and simulation of heat exchange between cows and their environment by Gebremedhin, K.G., Wu, B.X.

“…Several turbulence models are available in the literature, and each model has its own unique features. To establish the most appropriate model for…”
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PP-243 Divergence of Anaplasma isolates from domestic animals in YiLi regions of Xinjiang Province, China by Fan, D.S, Yu, H.L, Wu, B.X, Wang, S.W, Xu, Q.Y, Zhang, L.X, Zhang, L.J

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Improving the quality of rooster semen frozen in straws by screening the glycerol concentration and freezing rate by Wu, B.X., Yang, X.H., Yan, H.F.

“…1. This study examined different glycerol concentrations (GC) and freezing rates to improve the quality of rooster spermatozoa frozen in straws, and to…”
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Sign reversal of the Hall resistivity in the electron-doped La 2 - x Ce x CuO 4 thin films by Wu, B.X., Jin, K., Yuan, J., Wang, H.B., Hatano, T., Xu, B., Zhao, B.R., Zhu, B.Y.

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Low temperature transport of electron-doped superconductor La2−Ce CuO4 thin films by Zhao, B.R., Jin, K., Fu, Y.J., Wu, B.X., Zhu, B.Y., Gao, L.J., Xu, B., Cao, L.X., Qiu, X.G.

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Preparation of electron-doped La 2− x Ce x CuO 4± δ thin films with various Ce doping by dc magnetron sputtering by Wu, B.X., Jin, K., Yuan, J., Wang, H.B., Hatano, T., Zhao, B.R., Zhu, B.Y.

“…A series of c-axis oriented electron-doped high- T c superconducting La 2− x Ce x CuO 4 thin films, from heavily underdoped x = 0.06 to heavily overdoped x =…”
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Sign reversal of the Hall resistance in the mixed-state of La1.89Ce0.11CuO4 and La1.89Ce0.11(Cu0.99Co0.01)O4 thin films by Jin, K., Wu, B.X., Zhu, B.Y., Zhao, B.R., Volodin, A., Vanacken, J., Silhanek, A.V., Moshchalkov, V.V.

“…► We change the pinning environment in superconductors to achieve different Hall resistance sign reversals. ► Double sign reversal in the Hall resistivity has…”
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Preparation of electron-doped La2―xCexCuO4±δ thin films with various Ce doping by dc magnetron sputtering by WU, B. X, JIN, K, YUAN, J, WANG, H. B, HATANO, T, ZHAO, B. R, ZHU, B. Y

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Sign reversal of the Hall resistivity in the electron-doped La2-xCexCuO4 thin films by Wu, B.X., Jin, K., Yuan, J., Wang, H.B., Hatano, T., Xu, B., Zhao, B.R., Zhu, B.Y.

“…Transport properties including both the longitudinal resistivity ρxx(H) and the Hall resistivity ρxy(H) are systematically studied in the optimally doped…”
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Low temperature transport of electron-doped superconductor La2−xCexCuO4 thin films by Zhao, B.R., Jin, K., Fu, Y.J., Wu, B.X., Zhu, B.Y., Gao, L.J., Xu, B., Cao, L.X., Qiu, X.G.

“…The Hall effect study has been performed to examine the nature of quasi-particles of electron-doped superconductor, T′-phase La2−xCexCuO4 (LCCO) thin films…”
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The stability of the 2n-element number neural network models by Chen, Z.X., Shuai, J.W., Liu, R.T., Wu, B.X.

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The stability of the 2 n-element number neural network models by Chen, Z.X., Shuai, J.W., Liu, R.T., Wu, B.X.

“…In this paper, we defined a energy function for the 2 n -element number neural network models with n < 3. It is proved that the memorized patterns are local…”
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The 2 n -element Number Neural Network Model: Recognition of the Multistate Patterns by Shuai, J.W., Chen, Z.X., Liu, R.T., Wu, B.X.

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The 2n-element Number Neural Network Model: Recognition of the Multistate Patterns by Shuai, J.W., Chen, Z.X., Liu, R.T., Wu, B.X.

“…In this paper, a 2 n -element number discrete neural network is suggested. The storage capacity ratios of the model for the various value n are the same, and…”
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The three-dimensional rotation neural network by Shuai, J.W., Zheng, J.C., Chen, Z.X., Liu, R.T., Wu, B.X.

“…The storage capacity of the three-dimensional rotation neural network model is discussed by using the signal-to-noise theory. Some results discussed in the…”
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The Hamilton neural network model by Shuai, J.W., Chen, Z.X., Liu, R.T., Wu, B.X.

“…In this paper, the Dirac symbol is used to represent a neural network, and a discrete Hamilton neural network model with a 16-state ( ± 1 ± i ± j ± k ) neuron…”
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