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Pleiotropic meta-analysis of cognition, education, and schizophrenia differentiates roles of early neurodevelopmental and adult synaptic pathways

Asset based approaches STEM training

Hill WD, Knowles E, Lam M, Trampush JW, Yu J.
GSID: AcpfLSeFaaUJ
M Lam, WD Hill, JW Trampush, J Yu, E Knowles… - The American Journal of …, 2019 - cell.com

… first utilized a simple subsetting approach to identify SNPs that are … approach. We then employed a pleiotropic meta-analytic approach, association analysis based on subsets (ASSET),…

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Lam, M., Hill, W. D., Trampush, J. W., Yu, J., Knowles, E., Davies, G., ... & Lencz, T. (2019). Pleiotropic meta-analysis of cognition, education, and schizophrenia differentiates roles of early neurodevelopmental and adult synaptic pathways. The American Journal of Human Genetics, 105(2), 334-350.
Lam, Max, et al. "Pleiotropic meta-analysis of cognition, education, and schizophrenia differentiates roles of early neurodevelopmental and adult synaptic pathways." The American Journal of Human Genetics 105.2 (2019): 334-350.
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Machine Learning for Phase Retrieval from 4D-STEM Data

Research training stem

Cao M, Chen Z, Kim EA, Matty M.
GSID: LcDSa8FRCRMJ
M Cao, M Matty, Z Chen, L Li, EA Kim… - Microscopy and …, 2020 - cambridge.org

… As a training dataset, we used experimental diffraction data from monolayer MoS2 collected … For the training label, we used a ptychographic reconstruction of the MoS2 (Fig. 1c) [2]. By …

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Cao, M., Matty, M., Chen, Z., Li, L., Kim, E. A., & Muller, D. (2020). Machine Learning for Phase Retrieval from 4D-STEM Data. Microscopy and Microanalysis, 26(S2), 8-9.
Cao, Michael, et al. "Machine Learning for Phase Retrieval from 4D-STEM Data." Microscopy and Microanalysis 26.S2 (2020): 8-9.
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Advances and challenges in sustainable tourism toward a green economy

Cultural Transformation in the Geoscience Community AND Program Evaluation

Gao M, Kim H, Pan SY, Shah KJ.
GSID: UnKTMrHr-x0J
SY Pan, M Gao, H Kim, KJ Shah, SL Pei… - Science of the total …, 2018 - Elsevier

This paper provides an overview of the interrelationships between tourism and sustainability from a cross-disciplinary perspective. The current challenges and barriers in the tourism sustainability, such as high energy use, extensive water consumption and habitat destruction, are first reviewed....

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Pan, S. Y., Gao, M., Kim, H., Shah, K. J., Pei, S. L., & Chiang, P. C. (2018). Advances and challenges in sustainable tourism toward a green economy. Science of the total environment, 635, 452-469.
Pan, Shu-Yuan, et al. "Advances and challenges in sustainable tourism toward a green economy." Science of the total environment 635 (2018): 452-469.
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Spatial confinement of copper single atoms into covalent triazine-based frameworks for highly efficient and selective photocatalytic CO2 reduction

Theoretical frames STEM

Bi J, Gao M.
GSID: wZyGP7BzLj4J
G Huang, Q Niu, Y He, J Tian, M Gao, C Li, N An, J Bi… - Nano Research, 2022 - Springer

… rationally constructed covalent triazine-based frameworks (CTFs) anchoring copper single … transmission electron microscopy (HAADF-STEM) images and coordination structure of Cu-…

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Huang, G., Niu, Q., He, Y., Tian, J., Gao, M., Li, C., ... & Zhang, J. (2022). Spatial confinement of copper single atoms into covalent triazine-based frameworks for highly efficient and selective photocatalytic CO2 reduction. Nano Research, 15(9), 8001-8009.
Huang, Guocheng, et al. "Spatial confinement of copper single atoms into covalent triazine-based frameworks for highly efficient and selective photocatalytic CO2 reduction." Nano Research 15.9 (2022): 8001-8009.
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Sp110 enhances macrophage resistance to .

Oncotarget

Wu Y, Guo Z, Liu F, Yao K, Gao M, Luo Y, Zhang Y.
PMID: 28969051
Oncotarget. 2017 Jul 17;8(38):64050-64065. doi: 10.18632/oncotarget.19300. eCollection 2017 Sep 08.

Tuberculosis remains a leading health problem worldwide and still accounts for about 1.3 million deaths annually. Expression of the mouse Sp110 nuclear body protein (Sp110) upregulates the apoptotic pathway, which plays an essential role in enhancing host immunity to

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Wu Y, Guo Z, Liu F, et al. Sp110 enhances macrophage resistance to . Oncotarget. 2017;8(38):64050-64065doi: 10.18632/oncotarget.19300.
Wu, Y., Guo, Z., Liu, F., Yao, K., Gao, M., Luo, Y., & Zhang, Y. (2017). Sp110 enhances macrophage resistance to . Oncotarget, 8(38), 64050-64065. https://doi.org/10.18632/oncotarget.19300
Wu, Yongyan, et al. "Sp110 enhances macrophage resistance to ." Oncotarget vol. 8,38 (2017): 64050-64065. doi: https://doi.org/10.18632/oncotarget.19300
Wu Y, Guo Z, Liu F, Yao K, Gao M, Luo Y, Zhang Y. Sp110 enhances macrophage resistance to . Oncotarget. 2017 Jul 17;8(38):64050-64065. doi: 10.18632/oncotarget.19300. eCollection 2017 Sep 08. PMID: 28969051; PMCID: PMC5609983.
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Cloning, molecular evolution and functional characterization of ZmbHLH16, the maize ortholog of OsTIP2 (OsbHLH142).

Biology open

Liu Y, Li J, Wei G, Sun Y, Lu Y, Lan H, Li C, Zhang S, Cao M.
PMID: 28970232
Biol Open. 2017 Nov 15;6(11):1654-1663. doi: 10.1242/bio.026393.

The transcription factor ZmbHLH16, the maize ortholog of OsTIP2 (OsbHLH142), was isolated in the present study. Tissue expression analysis showed that ZmbHLH16 is preferentially expressed in male reproductive organs. Subcellular location analysis of ZmbHLH16 via rice protoplast indicated that...

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Liu Y, Li J, Wei G, et al. Cloning, molecular evolution and functional characterization of ZmbHLH16, the maize ortholog of OsTIP2 (OsbHLH142). Biol Open. 2017;6(11):1654-1663doi: 10.1242/bio.026393.
Liu, Y., Li, J., Wei, G., Sun, Y., Lu, Y., Lan, H., Li, C., Zhang, S., & Cao, M. (2017). Cloning, molecular evolution and functional characterization of ZmbHLH16, the maize ortholog of OsTIP2 (OsbHLH142). Biology open, 6(11), 1654-1663. https://doi.org/10.1242/bio.026393
Liu, Yongming, et al. "Cloning, molecular evolution and functional characterization of ZmbHLH16, the maize ortholog of OsTIP2 (OsbHLH142)." Biology open vol. 6,11 (2017): 1654-1663. doi: https://doi.org/10.1242/bio.026393
Liu Y, Li J, Wei G, Sun Y, Lu Y, Lan H, Li C, Zhang S, Cao M. Cloning, molecular evolution and functional characterization of ZmbHLH16, the maize ortholog of OsTIP2 (OsbHLH142). Biol Open. 2017 Nov 15;6(11):1654-1663. doi: 10.1242/bio.026393. PMID: 28970232; PMCID: PMC5703606.
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Ultrafine Mo2C nanoparticles encapsulated in N-doped carbon nanofibers with enhanced lithium storage performance.

Physical chemistry chemical physics : PCCP

Li R, Wang S, Wang W, Cao M.
PMID: 26344047
Phys Chem Chem Phys. 2015 Oct 14;17(38):24803-9. doi: 10.1039/c5cp03890a.

Rechargeable lithium ion batteries (LIBs) have attracted extensive attention globally due to their good cycling stability, high energy density, and rapid-rate capability, while the rational design of electrode materials can significantly improve their electrochemical performance. In this work, ultrafine...

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Li R, Wang S, Wang W, et al. Ultrafine Mo2C nanoparticles encapsulated in N-doped carbon nanofibers with enhanced lithium storage performance. Phys Chem Chem Phys. 2015;17(38):24803-9doi: 10.1039/c5cp03890a.
Li, R., Wang, S., Wang, W., & Cao, M. (2015). Ultrafine Mo2C nanoparticles encapsulated in N-doped carbon nanofibers with enhanced lithium storage performance. Physical chemistry chemical physics : PCCP, 17(38), 24803-9. https://doi.org/10.1039/c5cp03890a
Li, Ruirui, et al. "Ultrafine Mo2C nanoparticles encapsulated in N-doped carbon nanofibers with enhanced lithium storage performance." Physical chemistry chemical physics : PCCP vol. 17,38 (2015): 24803-9. doi: https://doi.org/10.1039/c5cp03890a
Li R, Wang S, Wang W, Cao M. Ultrafine Mo2C nanoparticles encapsulated in N-doped carbon nanofibers with enhanced lithium storage performance. Phys Chem Chem Phys. 2015 Oct 14;17(38):24803-9. doi: 10.1039/c5cp03890a. PMID: 26344047.
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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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Ghost imaging with different frequencies through non-degenerated four-wave mixing.

Optics express

Yu Y, Wang C, Liu J, Wang J, Cao M, Wei D, Gao H, Li F.
PMID: 27505792
Opt Express. 2016 Aug 08;24(16):18290-6. doi: 10.1364/OE.24.018290.

As a novel imaging method, ghost imaging has been widely explored in various fields of research, such as lensless ghost imaging, computational ghost imaging, turbulence-free ghost imaging. Recently, ghost imaging in non-degenerated system with pseudo-thermal light has been discussed...

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Yu Y, Wang C, Liu J, et al. Ghost imaging with different frequencies through non-degenerated four-wave mixing. Opt Express. 2016;24(16):18290-6doi: 10.1364/OE.24.018290.
Yu, Y., Wang, C., Liu, J., Wang, J., Cao, M., Wei, D., Gao, H., & Li, F. (2016). Ghost imaging with different frequencies through non-degenerated four-wave mixing. Optics express, 24(16), 18290-6. https://doi.org/10.1364/OE.24.018290
Yu, Ya, et al. "Ghost imaging with different frequencies through non-degenerated four-wave mixing." Optics express vol. 24,16 (2016): 18290-6. doi: https://doi.org/10.1364/OE.24.018290
Yu Y, Wang C, Liu J, Wang J, Cao M, Wei D, Gao H, Li F. Ghost imaging with different frequencies through non-degenerated four-wave mixing. Opt Express. 2016 Aug 08;24(16):18290-6. doi: 10.1364/OE.24.018290. PMID: 27505792.
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Quantitative Proteomic Analysis Provides Novel Insights into Cold Stress Responses in Petunia Seedlings.

Frontiers in plant science

Zhang W, Zhang H, Ning L, Li B, Bao M.
PMID: 26941746
Front Plant Sci. 2016 Feb 25;7:136. doi: 10.3389/fpls.2016.00136. eCollection 2016.

Low temperature is a major adverse environmental factor that impairs petunia growth and development. To better understand the molecular mechanisms of cold stress adaptation of petunia plants, a quantitative proteomic analysis using iTRAQ technology was performed to detect the...

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Zhang W, Zhang H, Ning L, et al. Quantitative Proteomic Analysis Provides Novel Insights into Cold Stress Responses in Petunia Seedlings. Front Plant Sci. 2016;7:136doi: 10.3389/fpls.2016.00136.
Zhang, W., Zhang, H., Ning, L., Li, B., & Bao, M. (2016). Quantitative Proteomic Analysis Provides Novel Insights into Cold Stress Responses in Petunia Seedlings. Frontiers in plant science, 7136. https://doi.org/10.3389/fpls.2016.00136
Zhang, Wei, et al. "Quantitative Proteomic Analysis Provides Novel Insights into Cold Stress Responses in Petunia Seedlings." Frontiers in plant science vol. 7 (2016): 136. doi: https://doi.org/10.3389/fpls.2016.00136
Zhang W, Zhang H, Ning L, Li B, Bao M. Quantitative Proteomic Analysis Provides Novel Insights into Cold Stress Responses in Petunia Seedlings. Front Plant Sci. 2016 Feb 25;7:136. doi: 10.3389/fpls.2016.00136. eCollection 2016. PMID: 26941746; PMCID: PMC4766708.
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Automatic system for electron tomography data collection in the ultra-high voltage electron microscope.

Micron (Oxford, England : 1993)

Cao M, Nishi R, Wang F.
PMID: 28946024
Micron. 2017 Dec;103:29-33. doi: 10.1016/j.micron.2017.09.006. Epub 2017 Sep 12.

In this study, we report an automatic system for collection of tilt series for electron tomography based on the ultra-HVEM in Osaka University. By remotely controlling the microscope and reading the observation image, the system can track the field...

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Cao M, Nishi R, Wang F. Automatic system for electron tomography data collection in the ultra-high voltage electron microscope. Micron. 2017;103:29-33doi: 10.1016/j.micron.2017.09.006.
Cao, M., Nishi, R., & Wang, F. (2017). Automatic system for electron tomography data collection in the ultra-high voltage electron microscope. Micron (Oxford, England : 1993), 10329-33. https://doi.org/10.1016/j.micron.2017.09.006
Cao, Meng, et al. "Automatic system for electron tomography data collection in the ultra-high voltage electron microscope." Micron (Oxford, England : 1993) vol. 103 (2017): 29-33. doi: https://doi.org/10.1016/j.micron.2017.09.006
Cao M, Nishi R, Wang F. Automatic system for electron tomography data collection in the ultra-high voltage electron microscope. Micron. 2017 Dec;103:29-33. doi: 10.1016/j.micron.2017.09.006. Epub 2017 Sep 12. PMID: 28946024.
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Effect of Substrate Conversion on Performance of Microbial Fuel Cells and Anodic Microbial Communities.

Environmental engineering science

Zhao YG, Zhang Y, She Z, Shi Y, Wang M, Gao M, Guo L.
PMID: 28947873
Environ Eng Sci. 2017 Sep 01;34(9):666-674. doi: 10.1089/ees.2016.0604.

Performance of microbial fuel cells (MFCs) was monitored during the influent nutrient change from lactate to glucose/acetate/propionate and then to lactate. Meanwhile, anodic microbial communities were characterized by culture-independent molecular biotechnologies. Results showed MFC performance recovered rapidly when the...

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Zhao YG, Zhang Y, She Z, et al. Effect of Substrate Conversion on Performance of Microbial Fuel Cells and Anodic Microbial Communities. Environ Eng Sci. 2017;34(9):666-674doi: 10.1089/ees.2016.0604.
Zhao, Y. G., Zhang, Y., She, Z., Shi, Y., Wang, M., Gao, M., & Guo, L. (2017). Effect of Substrate Conversion on Performance of Microbial Fuel Cells and Anodic Microbial Communities. Environmental engineering science, 34(9), 666-674. https://doi.org/10.1089/ees.2016.0604
Zhao, Yang-Guo, et al. "Effect of Substrate Conversion on Performance of Microbial Fuel Cells and Anodic Microbial Communities." Environmental engineering science vol. 34,9 (2017): 666-674. doi: https://doi.org/10.1089/ees.2016.0604
Zhao YG, Zhang Y, She Z, Shi Y, Wang M, Gao M, Guo L. Effect of Substrate Conversion on Performance of Microbial Fuel Cells and Anodic Microbial Communities. Environ Eng Sci. 2017 Sep 01;34(9):666-674. doi: 10.1089/ees.2016.0604. PMID: 28947873; PMCID: PMC5610400.
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Showing 1 to 12 of 4548 entries