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The influence of physical activity, socioeconomic status, and ethnicity on the weight status of adolescents

Non-school settings

Deng S.
GSID: Bup_7zGrGscJ
RG McMurray, JS Harrell, S Deng, CB Bradley… - Obesity …, 2000 - Wiley Online Library

… More subjects were from rural settings (77%) than were from urban settings (23%). SES was based on parental education as suggested … days and non-school days. Answers to these questions were categorical: none, 3 hours per day. …

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McMurray, R. G., Harrell, J. S., Deng, S., Bradley, C. B., Cox, L. M., & Bangdiwala, S. I. (2000). The influence of physical activity, socioeconomic status, and ethnicity on the weight status of adolescents. Obesity research, 8(2), 130-139.
McMurray, Robert G., et al. "The influence of physical activity, socioeconomic status, and ethnicity on the weight status of adolescents." Obesity research 8.2 (2000): 130-139.
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Harnessing informal education for community resilience

informal education

Feng S, Hossain L, Paton D.
GSID: C1TaH6ZSSMMJ
S Feng, L Hossain, D Paton - Disaster Prevention and Management, 2017 - emerald.com

… The purpose of this paper is to suggest that informal education resulting from daily activities related to work, family life, or leisure can be … , informal education can represent a way of reconciling these issues (Paton, 2013)....

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Feng, S., Hossain, L., & Paton, D. (2017). Harnessing informal education for community resilience. Disaster Prevention and Management.
Feng, Shihui, Liaquat Hossain, and Douglas Paton. "Harnessing informal education for community resilience." Disaster Prevention and Management (2017).
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Differentiable spike: Rethinking gradient-descent for training spiking neural networks

Asset based approaches STEM training

Deng S, Guo Y, Li Y, Zhang S.
GSID: X93ovC2WS4kJ
Y Li, Y Guo, S Zhang, S Deng… - Advances in Neural …, 2021 - proceedings.neurips.cc

… in SNN training and introduce finite difference gradient to quantitatively analyze the training … Unlike traditional ResNet structure [30], we use a modified version with 3 stem layers and …

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Li, Y., Guo, Y., Zhang, S., Deng, S., Hai, Y., & Gu, S. (2021). Differentiable spike: Rethinking gradient-descent for training spiking neural networks. Advances in Neural Information Processing Systems, 34, 23426-23439.
Li, Yuhang, et al. "Differentiable spike: Rethinking gradient-descent for training spiking neural networks." Advances in Neural Information Processing Systems 34 (2021): 23426-23439.
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Gender Equity in Oceanography

Cultural Transformation in the Geoscience Community AND Program Evaluation

Legg S.
GSID: Ydy8-rOGdnYJ
S Legg, C Wang, E Kappel… - Annual Review of …, 2022 - annualreviews.org

Gender equity, providing for full participation of people of all genders in the oceanographic workforce, is an important goal for the continued success of the oceanographic enterprise. …

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Legg, S., Wang, C., Kappel, E., & Thompson, L. (2022). Gender Equity in Oceanography. Annual Review of Marine Science, 15.
Legg, Sonya, et al. "Gender Equity in Oceanography." Annual Review of Marine Science 15 (2022).
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Meeting mentoring needs in physical oceanography: An evaluation of the impact of MPOWIR

Cultural Transformation in the Geoscience Community AND Program Evaluation

Legg S, Mouw CB, Stockard J.
GSID: y_91ritGJ98J
CB Mouw, S Clem, S Legg, J Stockard - Oceanography, 2018 - JSTOR

After a decade of program offerings, the Mentoring Physical Oceanography Women to Increase Retention (MPOWIR) program initiated a community-wide survey to (1) assess the impact MPOWIR has had on retention of women in the field of physical oceanography, and...

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Mouw, C. B., Clem, S., Legg, S., & Stockard, J. (2018). Meeting mentoring needs in physical oceanography: An evaluation of the impact of MPOWIR. Oceanography, 31(4), 171-179.
Mouw, Colleen B., et al. "Meeting mentoring needs in physical oceanography: An evaluation of the impact of MPOWIR." Oceanography 31.4 (2018): 171-179.
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GWAPower: a statistical power calculation software for genome-wide association studies with quantitative traits.

BMC genetics

Feng S, Wang S, Chen CC, Lan L.
PMID: 21255436
BMC Genet. 2011 Jan 21;12:12. doi: 10.1186/1471-2156-12-12.

BACKGROUND: In designing genome-wide association (GWA) studies it is important to calculate statistical power. General statistical power calculation procedures for quantitative measures often require information concerning summary statistics of distributions such as mean and variance. However, with genetic studies,...

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Feng S, Wang S, Chen CC, et al. GWAPower: a statistical power calculation software for genome-wide association studies with quantitative traits. BMC Genet. 2011;12:12doi: 10.1186/1471-2156-12-12.
Feng, S., Wang, S., Chen, C. C., & Lan, L. (2011). GWAPower: a statistical power calculation software for genome-wide association studies with quantitative traits. BMC genetics, 1212. https://doi.org/10.1186/1471-2156-12-12
Feng, Sheng, et al. "GWAPower: a statistical power calculation software for genome-wide association studies with quantitative traits." BMC genetics vol. 12 (2011): 12. doi: https://doi.org/10.1186/1471-2156-12-12
Feng S, Wang S, Chen CC, Lan L. GWAPower: a statistical power calculation software for genome-wide association studies with quantitative traits. BMC Genet. 2011 Jan 21;12:12. doi: 10.1186/1471-2156-12-12. PMID: 21255436; PMCID: PMC3036643.
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Skimming Digits: Neuromorphic Classification of Spike-Encoded Images.

Frontiers in neuroscience

Cohen GK, Orchard G, Leng SH, Tapson J, Benosman RB, van Schaik A.
PMID: 27199646
Front Neurosci. 2016 Apr 28;10:184. doi: 10.3389/fnins.2016.00184. eCollection 2016.

The growing demands placed upon the field of computer vision have renewed the focus on alternative visual scene representations and processing paradigms. Silicon retinea provide an alternative means of imaging the visual environment, and produce frame-free spatio-temporal data. This...

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Cohen GK, Orchard G, Leng SH, et al. Skimming Digits: Neuromorphic Classification of Spike-Encoded Images. Front Neurosci. 2016;10:184doi: 10.3389/fnins.2016.00184.
Cohen, G. K., Orchard, G., Leng, S. H., Tapson, J., Benosman, R. B., & van Schaik, A. (2016). Skimming Digits: Neuromorphic Classification of Spike-Encoded Images. Frontiers in neuroscience, 10184. https://doi.org/10.3389/fnins.2016.00184
Cohen, Gregory K, et al. "Skimming Digits: Neuromorphic Classification of Spike-Encoded Images." Frontiers in neuroscience vol. 10 (2016): 184. doi: https://doi.org/10.3389/fnins.2016.00184
Cohen GK, Orchard G, Leng SH, Tapson J, Benosman RB, van Schaik A. Skimming Digits: Neuromorphic Classification of Spike-Encoded Images. Front Neurosci. 2016 Apr 28;10:184. doi: 10.3389/fnins.2016.00184. eCollection 2016. PMID: 27199646; PMCID: PMC4848313.
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PTIP promotes recurrence and metastasis of hepatocellular carcinoma by regulating epithelial-mesenchymal transition.

Oncotarget

Leng S, Yang M, Zhao Y, Zhao J, Zeng Z, Yang Y, Yuan J, Lv B, Jun F, Wang B.
PMID: 28938547
Oncotarget. 2017 Mar 22;8(35):58184-58198. doi: 10.18632/oncotarget.16436. eCollection 2017 Aug 29.

Hepatocellular carcinoma (HCC) is one of the most lethal tumors worldwide, which is mainly due to the high recurrence and metastasis rate after hepatectomy. In this study, we found that PTIP expression was dramatically upregulated in human HCC tissues...

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Leng S, Yang M, Zhao Y, et al. PTIP promotes recurrence and metastasis of hepatocellular carcinoma by regulating epithelial-mesenchymal transition. Oncotarget. 2017;8(35):58184-58198doi: 10.18632/oncotarget.16436.
Leng, S., Yang, M., Zhao, Y., Zhao, J., Zeng, Z., Yang, Y., Yuan, J., Lv, B., Jun, F., & Wang, B. (2017). PTIP promotes recurrence and metastasis of hepatocellular carcinoma by regulating epithelial-mesenchymal transition. Oncotarget, 8(35), 58184-58198. https://doi.org/10.18632/oncotarget.16436
Leng, Shusheng, et al. "PTIP promotes recurrence and metastasis of hepatocellular carcinoma by regulating epithelial-mesenchymal transition." Oncotarget vol. 8,35 (2017): 58184-58198. doi: https://doi.org/10.18632/oncotarget.16436
Leng S, Yang M, Zhao Y, Zhao J, Zeng Z, Yang Y, Yuan J, Lv B, Jun F, Wang B. PTIP promotes recurrence and metastasis of hepatocellular carcinoma by regulating epithelial-mesenchymal transition. Oncotarget. 2017 Mar 22;8(35):58184-58198. doi: 10.18632/oncotarget.16436. eCollection 2017 Aug 29. PMID: 28938547; PMCID: PMC5601643.
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Membrane Proteomics of Arabidopsis Glucosinolate Mutants .

Frontiers in plant science

Mostafa I, Yoo MJ, Zhu N, Geng S, Dufresne C, Abou-Hashem M, El-Domiaty M, Chen S.
PMID: 28443122
Front Plant Sci. 2017 Apr 11;8:534. doi: 10.3389/fpls.2017.00534. eCollection 2017.

Glucosinolates (Gls) constitute a major group of natural metabolites represented by three major classes (aliphatic, indolic and aromatic) of more than 120 chemical structures. In our previous work, soluble proteins and metabolites in Arabidopsis mutants deficient of aliphatic (

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Mostafa I, Yoo MJ, Zhu N, et al. Membrane Proteomics of Arabidopsis Glucosinolate Mutants . Front Plant Sci. 2017;8:534doi: 10.3389/fpls.2017.00534.
Mostafa, I., Yoo, M. J., Zhu, N., Geng, S., Dufresne, C., Abou-Hashem, M., El-Domiaty, M., & Chen, S. (2017). Membrane Proteomics of Arabidopsis Glucosinolate Mutants . Frontiers in plant science, 8534. https://doi.org/10.3389/fpls.2017.00534
Mostafa, Islam, et al. "Membrane Proteomics of Arabidopsis Glucosinolate Mutants ." Frontiers in plant science vol. 8 (2017): 534. doi: https://doi.org/10.3389/fpls.2017.00534
Mostafa I, Yoo MJ, Zhu N, Geng S, Dufresne C, Abou-Hashem M, El-Domiaty M, Chen S. Membrane Proteomics of Arabidopsis Glucosinolate Mutants . Front Plant Sci. 2017 Apr 11;8:534. doi: 10.3389/fpls.2017.00534. eCollection 2017. PMID: 28443122; PMCID: PMC5387099.
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Detection of increased vasa vasorum in artery walls: Improving CT number accuracy using image deconvolution.

Proceedings of SPIE--the International Society for Optical Engineering

Rajendran K, Leng S, Jorgensen SM, Abdurakhimova D, Ritman EL, McCollough CH.
PMID: 28413240
Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10132. doi: 10.1117/12.2255676. Epub 2017 Mar 09.

Changes in arterial wall perfusion are an indicator of early atherosclerosis. This is characterized by an increased spatial density of vasa vasorum (VV), the micro-vessels that supply oxygen and nutrients to the arterial wall. Detection of increased VV during...

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Rajendran K, Leng S, Jorgensen SM, et al. Detection of increased vasa vasorum in artery walls: Improving CT number accuracy using image deconvolution. Proc SPIE Int Soc Opt Eng. 2017;10132doi: 10.1117/12.2255676.
Rajendran, K., Leng, S., Jorgensen, S. M., Abdurakhimova, D., Ritman, E. L., & McCollough, C. H. (2017). Detection of increased vasa vasorum in artery walls: Improving CT number accuracy using image deconvolution. Proceedings of SPIE--the International Society for Optical Engineering, 10132. https://doi.org/10.1117/12.2255676
Rajendran, Kishore, et al. "Detection of increased vasa vasorum in artery walls: Improving CT number accuracy using image deconvolution." Proceedings of SPIE--the International Society for Optical Engineering vol. 10132 (2017). doi: https://doi.org/10.1117/12.2255676
Rajendran K, Leng S, Jorgensen SM, Abdurakhimova D, Ritman EL, McCollough CH. Detection of increased vasa vasorum in artery walls: Improving CT number accuracy using image deconvolution. Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10132. doi: 10.1117/12.2255676. Epub 2017 Mar 09. PMID: 28413240; PMCID: PMC5391689.
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Photothermal Conversion of W.

ChemistryOpen

Fang Z, Jiao S, Kang Y, Pang G, Feng S.
PMID: 28413762
ChemistryOpen. 2017 Jan 18;6(2):261-265. doi: 10.1002/open.201600149. eCollection 2017 Apr.

W

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Fang Z, Jiao S, Kang Y, et al. Photothermal Conversion of W. ChemistryOpen. 2017;6(2):261-265doi: 10.1002/open.201600149.
Fang, Z., Jiao, S., Kang, Y., Pang, G., & Feng, S. (2017). Photothermal Conversion of W. ChemistryOpen, 6(2), 261-265. https://doi.org/10.1002/open.201600149
Fang, Zhenxing, et al. "Photothermal Conversion of W." ChemistryOpen vol. 6,2 (2017): 261-265. doi: https://doi.org/10.1002/open.201600149
Fang Z, Jiao S, Kang Y, Pang G, Feng S. Photothermal Conversion of W. ChemistryOpen. 2017 Jan 18;6(2):261-265. doi: 10.1002/open.201600149. eCollection 2017 Apr. PMID: 28413762; PMCID: PMC5390804.
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Exploring the Intrinsic Piezofluorochromic Mechanism of TPE-An by STS Technique.

Nanoscale research letters

Jin S, Tian Y, Liu F, Deng S, Chen J, Xu N.
PMID: 26334542
Nanoscale Res Lett. 2015 Dec;10(1):1036. doi: 10.1186/s11671-015-1036-7. Epub 2015 Sep 03.

9,10-bis(4-(1,2,2-triphenylvinyl)styryl)anthracene (TPE-An) materials have attracted considerable attention in recent years because they have high luminescence efficiency and excellent piezofluorochromic properties, which have potential applications in organic light-emitting display (OLED) area. Scanning tunneling spectroscopy (STS) technique was used to study...

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Jin S, Tian Y, Liu F, et al. Exploring the Intrinsic Piezofluorochromic Mechanism of TPE-An by STS Technique. Nanoscale Res Lett. 2015;10(1):1036doi: 10.1186/s11671-015-1036-7.
Jin, S., Tian, Y., Liu, F., Deng, S., Chen, J., & Xu, N. (2015). Exploring the Intrinsic Piezofluorochromic Mechanism of TPE-An by STS Technique. Nanoscale research letters, 10(1), 1036. https://doi.org/10.1186/s11671-015-1036-7
Jin, Shunyu, et al. "Exploring the Intrinsic Piezofluorochromic Mechanism of TPE-An by STS Technique." Nanoscale research letters vol. 10,1 (2015): 1036. doi: https://doi.org/10.1186/s11671-015-1036-7
Jin S, Tian Y, Liu F, Deng S, Chen J, Xu N. Exploring the Intrinsic Piezofluorochromic Mechanism of TPE-An by STS Technique. Nanoscale Res Lett. 2015 Dec;10(1):1036. doi: 10.1186/s11671-015-1036-7. Epub 2015 Sep 03. PMID: 26334542; PMCID: PMC4558996.
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Showing 1 to 12 of 5589 entries