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Showing 1 to 12 of 2144 entries
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Shift-full-rank matrices and applications in space-time trellis codes for relay networks with asynchronous cooperative diversity

diversity

Shang Y, Xia XG.
GSID: tlYaY5IKaesJ
Y Shang, XG Xia - IEEE Transactions on Information Theory, 2006 - ieeexplore.ieee.org

To achieve full cooperative diversity in a relay network, most of the existing space-time coding schemes require the synchronization between terminals. A family of space-time trellis …

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Shang, Y., & Xia, X. G. (2006). Shift-full-rank matrices and applications in space-time trellis codes for relay networks with asynchronous cooperative diversity. IEEE Transactions on Information Theory, 52(7), 3153-3167.
Shang, Yue, and Xiang-Gen Xia. "Shift-full-rank matrices and applications in space-time trellis codes for relay networks with asynchronous cooperative diversity." IEEE Transactions on Information Theory 52.7 (2006): 3153-3167.
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Comparison of the extracellular proteomes of Escherichia coli B and K‐12 strains during high cell density cultivation

k-12

Xia XX, Lee SY.
GSID: rReoLh5czEIJ
XX Xia, MJ Han, SY Lee, JS Yoo - Proteomics, 2008 - Wiley Online Library

… Escherichia coli BL21 (DE3) and W3110 strains, belonging to the family B and K-12, respectively, have been most widely employed for recombinant protein production. During the … coli B and K-12 strains used in this study were BL21...

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Xia, X. X., Han, M. J., Lee, S. Y., & Yoo, J. S. (2008). Comparison of the extracellular proteomes of Escherichia coli B and K‐12 strains during high cell density cultivation. Proteomics, 8(10), 2089-2103.
Xia, Xiao‐Xia, et al. "Comparison of the extracellular proteomes of Escherichia coli B and K‐12 strains during high cell density cultivation." Proteomics 8.10 (2008): 2089-2103.
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Deep learning in remote sensing: A comprehensive review and list of resources

Cultural Transformation in the Geoscience Community AND Program Evaluation

Mou L, Tuia D, Xia GS, Zhang L, Zhu XX.
GSID: 5f-yhk8p_T4J
XX Zhu, D Tuia, L Mou, GS Xia, L Zhang… - IEEE Geoscience …, 2017 - ieeexplore.ieee.org

Central to the looming paradigm shift toward data-intensive science, machine-learning techniques are becoming increasingly important. In particular, deep learning has proven to be both a major breakthrough and an extremely powerful tool in many fields. Shall we embrace deep...

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Zhu, X. X., Tuia, D., Mou, L., Xia, G. S., Zhang, L., Xu, F., & Fraundorfer, F. (2017). Deep learning in remote sensing: A comprehensive review and list of resources. IEEE Geoscience and Remote Sensing Magazine, 5(4), 8-36.
Zhu, Xiao Xiang, et al. "Deep learning in remote sensing: A comprehensive review and list of resources." IEEE Geoscience and Remote Sensing Magazine 5.4 (2017): 8-36.
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Morphology-dependent performance of CuO anodes via facile and controllable synthesis for lithium-ion batteries.

ACS applied materials & interfaces

Wang C, Li Q, Wang F, Xia G, Liu R, Li D, Li N, Spendelow JS, Wu G.
PMID: 24377276
ACS Appl Mater Interfaces. 2014 Jan 22;6(2):1243-50. doi: 10.1021/am405061c. Epub 2014 Jan 07.

Nanostructured CuO anode materials with controllable morphologies have been successfully synthesized via a facile and environmentally friendly approach in the absence of any toxic surfactants or templates. In particular, leaf-like CuO, oatmeal-like CuO, and hollow-spherical CuO were obtained by...

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Wang C, Li Q, Wang F, et al. Morphology-dependent performance of CuO anodes via facile and controllable synthesis for lithium-ion batteries. ACS Appl Mater Interfaces. 2014;6(2):1243-50doi: 10.1021/am405061c.
Wang, C., Li, Q., Wang, F., Xia, G., Liu, R., Li, D., Li, N., Spendelow, J. S., & Wu, G. (2014). Morphology-dependent performance of CuO anodes via facile and controllable synthesis for lithium-ion batteries. ACS applied materials & interfaces, 6(2), 1243-50. https://doi.org/10.1021/am405061c
Wang, Chen, et al. "Morphology-dependent performance of CuO anodes via facile and controllable synthesis for lithium-ion batteries." ACS applied materials & interfaces vol. 6,2 (2014): 1243-50. doi: https://doi.org/10.1021/am405061c
Wang C, Li Q, Wang F, Xia G, Liu R, Li D, Li N, Spendelow JS, Wu G. Morphology-dependent performance of CuO anodes via facile and controllable synthesis for lithium-ion batteries. ACS Appl Mater Interfaces. 2014 Jan 22;6(2):1243-50. doi: 10.1021/am405061c. Epub 2014 Jan 07. PMID: 24377276.
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Observational Evidence for Desert Amplification Using Multiple Satellite Datasets.

Scientific reports

Wei N, Zhou L, Dai Y, Xia G, Hua W.
PMID: 28515416
Sci Rep. 2017 May 17;7(1):2043. doi: 10.1038/s41598-017-02064-w.

Desert amplification identified in recent studies has large uncertainties due to data paucity over remote deserts. Here we present observational evidence using multiple satellite-derived datasets that desert amplification is a real large-scale pattern of warming mode in near surface...

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Wei N, Zhou L, Dai Y, et al. Observational Evidence for Desert Amplification Using Multiple Satellite Datasets. Sci Rep. 2017;7(1):2043doi: 10.1038/s41598-017-02064-w.
Wei, N., Zhou, L., Dai, Y., Xia, G., & Hua, W. (2017). Observational Evidence for Desert Amplification Using Multiple Satellite Datasets. Scientific reports, 7(1), 2043. https://doi.org/10.1038/s41598-017-02064-w
Wei, Nan, et al. "Observational Evidence for Desert Amplification Using Multiple Satellite Datasets." Scientific reports vol. 7,1 (2017): 2043. doi: https://doi.org/10.1038/s41598-017-02064-w
Wei N, Zhou L, Dai Y, Xia G, Hua W. Observational Evidence for Desert Amplification Using Multiple Satellite Datasets. Sci Rep. 2017 May 17;7(1):2043. doi: 10.1038/s41598-017-02064-w. PMID: 28515416; PMCID: PMC5435705.
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Ultrasensitive and Fast All-Inorganic Perovskite-Based Photodetector via Fast Carrier Diffusion.

Advanced materials (Deerfield Beach, Fla.)

Yang B, Zhang F, Chen J, Yang S, Xia X, Pullerits T, Deng W, Han K.
PMID: 28863245
Adv Mater. 2017 Oct;29(40). doi: 10.1002/adma.201703758. Epub 2017 Sep 01.

Low trap-state density, high carrier mobility, and efficient charge carrier collection are key parameters for photodetectors with high sensitivity and fast response time. This study demonstrates a simple solution growth method to prepare CsPbBr

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Yang B, Zhang F, Chen J, et al. Ultrasensitive and Fast All-Inorganic Perovskite-Based Photodetector via Fast Carrier Diffusion. Adv Mater. 2017;29(40)doi: 10.1002/adma.201703758.
Yang, B., Zhang, F., Chen, J., Yang, S., Xia, X., Pullerits, T., Deng, W., & Han, K. (2017). Ultrasensitive and Fast All-Inorganic Perovskite-Based Photodetector via Fast Carrier Diffusion. Advanced materials (Deerfield Beach, Fla.), 29(40), . https://doi.org/10.1002/adma.201703758
Yang, Bin, et al. "Ultrasensitive and Fast All-Inorganic Perovskite-Based Photodetector via Fast Carrier Diffusion." Advanced materials (Deerfield Beach, Fla.) vol. 29,40 (2017). doi: https://doi.org/10.1002/adma.201703758
Yang B, Zhang F, Chen J, Yang S, Xia X, Pullerits T, Deng W, Han K. Ultrasensitive and Fast All-Inorganic Perovskite-Based Photodetector via Fast Carrier Diffusion. Adv Mater. 2017 Oct;29(40). doi: 10.1002/adma.201703758. Epub 2017 Sep 01. PMID: 28863245.
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Firmiana: towards a one-stop proteomic cloud platform for data processing and analysis.

Nature biotechnology

Feng J, Ding C, Qiu N, Ni X, Zhan D, Liu W, Xia X, Li P, Lu B, Zhao Q, Nie P, Song L, Zhou Q, Lai M, Guo G, Zhu W, Ren J, Shi T, Qin J.
PMID: 28486446
Nat Biotechnol. 2017 May 09;35(5):409-412. doi: 10.1038/nbt.3825.

No abstract available.

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Feng J, Ding C, Qiu N, et al. Firmiana: towards a one-stop proteomic cloud platform for data processing and analysis. Nat Biotechnol. 2017;35(5):409-412doi: 10.1038/nbt.3825.
Feng, J., Ding, C., Qiu, N., Ni, X., Zhan, D., Liu, W., Xia, X., Li, P., Lu, B., Zhao, Q., Nie, P., Song, L., Zhou, Q., Lai, M., Guo, G., Zhu, W., Ren, J., Shi, T., & Qin, J. (2017). Firmiana: towards a one-stop proteomic cloud platform for data processing and analysis. Nature biotechnology, 35(5), 409-412. https://doi.org/10.1038/nbt.3825
Feng, Jinwen, et al. "Firmiana: towards a one-stop proteomic cloud platform for data processing and analysis." Nature biotechnology vol. 35,5 (2017): 409-412. doi: https://doi.org/10.1038/nbt.3825
Feng J, Ding C, Qiu N, Ni X, Zhan D, Liu W, Xia X, Li P, Lu B, Zhao Q, Nie P, Song L, Zhou Q, Lai M, Guo G, Zhu W, Ren J, Shi T, Qin J. Firmiana: towards a one-stop proteomic cloud platform for data processing and analysis. Nat Biotechnol. 2017 May 09;35(5):409-412. doi: 10.1038/nbt.3825. PMID: 28486446.
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Anisotropic-Scale Junction Detection and Matching for Indoor Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Xue N, Xia GS, Bai X, Zhang L, Shen W.
PMID: 28945595
IEEE Trans Image Process. 2018 Jan.;27(1):78-91. doi: 10.1109/TIP.2017.2754945.

Junctions play an important role in characterizing local geometrical structures of images, and the detection of which is a longstanding but challenging task. Existing junction detectors usually focus on identifying the location and orientations of junction branches while ignoring...

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Xue N, Xia GS, Bai X, et al. Anisotropic-Scale Junction Detection and Matching for Indoor Images. IEEE Trans Image Process. 2018;27(1):78-91doi: 10.1109/TIP.2017.2754945.
Xue, N., Xia, G. S., Bai, X., Zhang, L., & Shen, W. (2018). Anisotropic-Scale Junction Detection and Matching for Indoor Images. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 27(1), 78-91. https://doi.org/10.1109/TIP.2017.2754945
Xue, Nan, et al. "Anisotropic-Scale Junction Detection and Matching for Indoor Images." IEEE transactions on image processing : a publication of the IEEE Signal Processing Society vol. 27,1 (2018): 78-91. doi: https://doi.org/10.1109/TIP.2017.2754945
Xue N, Xia GS, Bai X, Zhang L, Shen W. Anisotropic-Scale Junction Detection and Matching for Indoor Images. IEEE Trans Image Process. 2018 Jan.;27(1):78-91. doi: 10.1109/TIP.2017.2754945. PMID: 28945595.
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Mechanism of metamifop inhibition of the carboxyltransferase domain of acetyl-coenzyme A carboxylase in Echinochloa crus-galli.

Scientific reports

Xia X, Tang W, He S, Kang J, Ma H, Li J.
PMID: 27666674
Sci Rep. 2016 Sep 26;6:34066. doi: 10.1038/srep34066.

Acetyl-coenzyme A carboxylase (ACCase) plays crucial roles in fatty acid metabolism and is an attractive target for herbicide discovery. Metamifop is a novel ACCase-inhibiting herbicide that can be applied to control sensitive weeds in paddy fields. In this study,...

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Xia X, Tang W, He S, et al. Mechanism of metamifop inhibition of the carboxyltransferase domain of acetyl-coenzyme A carboxylase in Echinochloa crus-galli. Sci Rep. 2016;6:34066doi: 10.1038/srep34066.
Xia, X., Tang, W., He, S., Kang, J., Ma, H., & Li, J. (2016). Mechanism of metamifop inhibition of the carboxyltransferase domain of acetyl-coenzyme A carboxylase in Echinochloa crus-galli. Scientific reports, 634066. https://doi.org/10.1038/srep34066
Xia, Xiangdong, et al. "Mechanism of metamifop inhibition of the carboxyltransferase domain of acetyl-coenzyme A carboxylase in Echinochloa crus-galli." Scientific reports vol. 6 (2016): 34066. doi: https://doi.org/10.1038/srep34066
Xia X, Tang W, He S, Kang J, Ma H, Li J. Mechanism of metamifop inhibition of the carboxyltransferase domain of acetyl-coenzyme A carboxylase in Echinochloa crus-galli. Sci Rep. 2016 Sep 26;6:34066. doi: 10.1038/srep34066. PMID: 27666674; PMCID: PMC5036181.
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A multi-shRNA vector enhances the silencing efficiency of exogenous and endogenous genes in human cells.

Oncology letters

Weng Y, Shi Y, Xia X, Zhou W, Wang H, Wang C.
PMID: 28454290
Oncol Lett. 2017 Mar;13(3):1553-1562. doi: 10.3892/ol.2017.5672. Epub 2017 Feb 02.

RNA interference (RNAi) is a powerful technology for suppressing gene function. In most studies, small interfering RNAs (siRNAs) consist of one short hairpin RNA (shRNA) and, therefore, are often unable to achieve loss-of-function of their target genes. In the...

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Weng Y, Shi Y, Xia X, et al. A multi-shRNA vector enhances the silencing efficiency of exogenous and endogenous genes in human cells. Oncol Lett. 2017;13(3):1553-1562doi: 10.3892/ol.2017.5672.
Weng, Y., Shi, Y., Xia, X., Zhou, W., Wang, H., & Wang, C. (2017). A multi-shRNA vector enhances the silencing efficiency of exogenous and endogenous genes in human cells. Oncology letters, 13(3), 1553-1562. https://doi.org/10.3892/ol.2017.5672
Weng, Yanjie, et al. "A multi-shRNA vector enhances the silencing efficiency of exogenous and endogenous genes in human cells." Oncology letters vol. 13,3 (2017): 1553-1562. doi: https://doi.org/10.3892/ol.2017.5672
Weng Y, Shi Y, Xia X, Zhou W, Wang H, Wang C. A multi-shRNA vector enhances the silencing efficiency of exogenous and endogenous genes in human cells. Oncol Lett. 2017 Mar;13(3):1553-1562. doi: 10.3892/ol.2017.5672. Epub 2017 Feb 02. PMID: 28454290; PMCID: PMC5403481.
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NIR light induced H2 evolution by a metal-free photocatalyst.

Chemical communications (Cambridge, England)

Xia X, Deng N, Cui G, Xie J, Shi X, Zhao Y, Wang Q, Wang W, Tang B.
PMID: 26060843
Chem Commun (Camb). 2015 Jul 11;51(54):10899-902. doi: 10.1039/c5cc02589c.

NIR light induced H2 evolution was realized by metal-free photocatalysis for the first time. The considerable H2 production at 808 nm and large promotion of the photocatalytic activity in both UV-Vis and Vis regions originated from the synergistic effect...

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Xia X, Deng N, Cui G, et al. NIR light induced H2 evolution by a metal-free photocatalyst. Chem Commun (Camb). 2015;51(54):10899-902doi: 10.1039/c5cc02589c.
Xia, X., Deng, N., Cui, G., Xie, J., Shi, X., Zhao, Y., Wang, Q., Wang, W., & Tang, B. (2015). NIR light induced H2 evolution by a metal-free photocatalyst. Chemical communications (Cambridge, England), 51(54), 10899-902. https://doi.org/10.1039/c5cc02589c
Xia, Xinyuan, et al. "NIR light induced H2 evolution by a metal-free photocatalyst." Chemical communications (Cambridge, England) vol. 51,54 (2015): 10899-902. doi: https://doi.org/10.1039/c5cc02589c
Xia X, Deng N, Cui G, Xie J, Shi X, Zhao Y, Wang Q, Wang W, Tang B. NIR light induced H2 evolution by a metal-free photocatalyst. Chem Commun (Camb). 2015 Jul 11;51(54):10899-902. doi: 10.1039/c5cc02589c. PMID: 26060843.
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Draft Genome Sequence of Vibrio owensii Strain SH-14, Which Causes Shrimp Acute Hepatopancreatic Necrosis Disease.

Genome announcements

Liu L, Xiao J, Xia X, Pan Y, Yan S, Wang Y.
PMID: 26634753
Genome Announc. 2015 Dec 03;3(6). doi: 10.1128/genomeA.01395-15.

We sequenced Vibrio owensii strain SH-14, which causes serious acute hepatopancreatic necrosis disease (AHPND) in shrimp. Sequence analysis showed a large extrachromosomal plasmid, which encoded pir toxin genes and shared highly sequence similarity with the one observed in AHPND-causing...

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Liu L, Xiao J, Xia X, et al. Draft Genome Sequence of Vibrio owensii Strain SH-14, Which Causes Shrimp Acute Hepatopancreatic Necrosis Disease. Genome Announc. 2015;3(6)doi: 10.1128/genomeA.01395-15.
Liu, L., Xiao, J., Xia, X., Pan, Y., Yan, S., & Wang, Y. (2015). Draft Genome Sequence of Vibrio owensii Strain SH-14, Which Causes Shrimp Acute Hepatopancreatic Necrosis Disease. Genome announcements, 3(6), . https://doi.org/10.1128/genomeA.01395-15
Liu, Liyuan, et al. "Draft Genome Sequence of Vibrio owensii Strain SH-14, Which Causes Shrimp Acute Hepatopancreatic Necrosis Disease." Genome announcements vol. 3,6 (2015). doi: https://doi.org/10.1128/genomeA.01395-15
Liu L, Xiao J, Xia X, Pan Y, Yan S, Wang Y. Draft Genome Sequence of Vibrio owensii Strain SH-14, Which Causes Shrimp Acute Hepatopancreatic Necrosis Disease. Genome Announc. 2015 Dec 03;3(6). doi: 10.1128/genomeA.01395-15. PMID: 26634753; PMCID: PMC4669394.
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Showing 1 to 12 of 2144 entries