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The total carbon column observing network.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Wunch D, Toon GC, Blavier JF, Washenfelder RA, Notholt J, Connor BJ, Griffith DW, Sherlock V, Wennberg PO.
PMID: 21502178
Philos Trans A Math Phys Eng Sci. 2011 May 28;369(1943):2087-112. doi: 10.1098/rsta.2010.0240.

A global network of ground-based Fourier transform spectrometers has been founded to remotely measure column abundances of CO(2), CO, CH(4), N(2)O and other molecules that absorb in the near-infrared. These measurements are directly comparable with the near-infrared total column...

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Wunch D, Toon GC, Blavier JF, et al. The total carbon column observing network. Philos Trans A Math Phys Eng Sci. 2011;369(1943):2087-112doi: 10.1098/rsta.2010.0240.
Wunch, D., Toon, G. C., Blavier, J. F., Washenfelder, R. A., Notholt, J., Connor, B. J., Griffith, D. W., Sherlock, V., & Wennberg, P. O. (2011). The total carbon column observing network. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 369(1943), 2087-112. https://doi.org/10.1098/rsta.2010.0240
Wunch, Debra, et al. "The total carbon column observing network." Philosophical transactions. Series A, Mathematical, physical, and engineering sciences vol. 369,1943 (2011): 2087-112. doi: https://doi.org/10.1098/rsta.2010.0240
Wunch D, Toon GC, Blavier JF, Washenfelder RA, Notholt J, Connor BJ, Griffith DW, Sherlock V, Wennberg PO. The total carbon column observing network. Philos Trans A Math Phys Eng Sci. 2011 May 28;369(1943):2087-112. doi: 10.1098/rsta.2010.0240. PMID: 21502178.
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Laser Transmission Welding of Semi-Crystalline Polymers and Their Composites: A Critical Review.

Polymers

Dave F, Ali MM, Sherlock R, Kandasami A, Tormey D.
PMID: 33668125
Polymers (Basel). 2021 Feb 24;13(5). doi: 10.3390/polym13050675.

The present review provides an overview of the current status and future perspectives of one of the smart manufacturing techniques of Industry 4.0, laser transmission welding (LTW) of semi-crystalline (SC) polymers and their composites. It is one of the...

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Dave F, Ali MM, Sherlock R, et al. Laser Transmission Welding of Semi-Crystalline Polymers and Their Composites: A Critical Review. Polymers (Basel). 2021;13(5)doi: 10.3390/polym13050675.
Dave, F., Ali, M. M., Sherlock, R., Kandasami, A., & Tormey, D. (2021). Laser Transmission Welding of Semi-Crystalline Polymers and Their Composites: A Critical Review. Polymers, 13(5), . https://doi.org/10.3390/polym13050675
Dave, Foram, et al. "Laser Transmission Welding of Semi-Crystalline Polymers and Their Composites: A Critical Review." Polymers vol. 13,5 (2021). doi: https://doi.org/10.3390/polym13050675
Dave F, Ali MM, Sherlock R, Kandasami A, Tormey D. Laser Transmission Welding of Semi-Crystalline Polymers and Their Composites: A Critical Review. Polymers (Basel). 2021 Feb 24;13(5). doi: 10.3390/polym13050675. PMID: 33668125; PMCID: PMC7956557.
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Predicting Risk of Hospital Admission in Patients With Suspected COVID-19 in a Community Setting: Protocol for Development and Validation of a Multivariate Risk Prediction Tool.

JMIR research protocols

Espinosa-Gonzalez AB, Neves AL, Fiorentino F, Prociuk D, Husain L, Ramtale SC, Mi E, Mi E, Macartney J, Anand SN, Sherlock J, Saravanakumar K, Mayer E, de Lusignan S, Greenhalgh T, Delaney BC.
PMID: 33939619
JMIR Res Protoc. 2021 May 25;10(5):e29072. doi: 10.2196/29072.

BACKGROUND: During the pandemic, remote consultations have become the norm for assessing patients with signs and symptoms of COVID-19 to decrease the risk of transmission. This has intensified the clinical uncertainty already experienced by primary care clinicians when assessing...

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Espinosa-Gonzalez AB, Neves AL, Fiorentino F, et al. Predicting Risk of Hospital Admission in Patients With Suspected COVID-19 in a Community Setting: Protocol for Development and Validation of a Multivariate Risk Prediction Tool. JMIR Res Protoc. 2021;10(5):e29072doi: 10.2196/29072.
Espinosa-Gonzalez, A. B., Neves, A. L., Fiorentino, F., Prociuk, D., Husain, L., Ramtale, S. C., Mi, E., Mi, E., Macartney, J., Anand, S. N., Sherlock, J., Saravanakumar, K., Mayer, E., de Lusignan, S., Greenhalgh, T., & Delaney, B. C. (2021). Predicting Risk of Hospital Admission in Patients With Suspected COVID-19 in a Community Setting: Protocol for Development and Validation of a Multivariate Risk Prediction Tool. JMIR research protocols, 10(5), e29072. https://doi.org/10.2196/29072
Espinosa-Gonzalez, Ana Belen, et al. "Predicting Risk of Hospital Admission in Patients With Suspected COVID-19 in a Community Setting: Protocol for Development and Validation of a Multivariate Risk Prediction Tool." JMIR research protocols vol. 10,5 (2021): e29072. doi: https://doi.org/10.2196/29072
Espinosa-Gonzalez AB, Neves AL, Fiorentino F, Prociuk D, Husain L, Ramtale SC, Mi E, Mi E, Macartney J, Anand SN, Sherlock J, Saravanakumar K, Mayer E, de Lusignan S, Greenhalgh T, Delaney BC. Predicting Risk of Hospital Admission in Patients With Suspected COVID-19 in a Community Setting: Protocol for Development and Validation of a Multivariate Risk Prediction Tool. JMIR Res Protoc. 2021 May 25;10(5):e29072. doi: 10.2196/29072. PMID: 33939619; PMCID: PMC8153031.
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A Middle Eocene lowland humid subtropical "Shangri-La" ecosystem in central Tibet.

Proceedings of the National Academy of Sciences of the United States of America

Su T, Spicer RA, Wu FX, Farnsworth A, Huang J, Del Rio C, Deng T, Ding L, Deng WY, Huang YJ, Hughes A, Jia LB, Jin JH, Li SF, Liang SQ, Liu J, Liu XY, Sherlock S, Spicer T, Srivastava G, Tang H, Valdes P, Wang TX, Widdowson M, Wu MX, Xing YW, Xu CL, Yang J, Zhang C, Zhang ST, Zhang XW, Zhao F, Zhou ZK.
PMID: 33288692
Proc Natl Acad Sci U S A. 2020 Dec 29;117(52):32989-32995. doi: 10.1073/pnas.2012647117. Epub 2020 Dec 07.

Tibet's ancient topography and its role in climatic and biotic evolution remain speculative due to a paucity of quantitative surface-height measurements through time and space, and sparse fossil records. However, newly discovered fossils from a present elevation of ∼4,850...

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Su T, Spicer RA, Wu FX, et al. A Middle Eocene lowland humid subtropical "Shangri-La" ecosystem in central Tibet. Proc Natl Acad Sci U S A. 2020;117(52):32989-32995doi: 10.1073/pnas.2012647117.
Su, T., Spicer, R. A., Wu, F. X., Farnsworth, A., Huang, J., Del Rio, C., Deng, T., Ding, L., Deng, W. Y., Huang, Y. J., Hughes, A., Jia, L. B., Jin, J. H., Li, S. F., Liang, S. Q., Liu, J., Liu, X. Y., Sherlock, S., Spicer, T., Srivastava, G., Tang, H., Valdes, P., Wang, T. X., Widdowson, M., Wu, M. X., Xing, Y. W., Xu, C. L., Yang, J., Zhang, C., Zhang, S. T., Zhang, X. W., Zhao, F., & Zhou, Z. K. (2020). A Middle Eocene lowland humid subtropical "Shangri-La" ecosystem in central Tibet. Proceedings of the National Academy of Sciences of the United States of America, 117(52), 32989-32995. https://doi.org/10.1073/pnas.2012647117
Su, Tao, et al. "A Middle Eocene lowland humid subtropical "Shangri-La" ecosystem in central Tibet." Proceedings of the National Academy of Sciences of the United States of America vol. 117,52 (2020): 32989-32995. doi: https://doi.org/10.1073/pnas.2012647117
Su T, Spicer RA, Wu FX, Farnsworth A, Huang J, Del Rio C, Deng T, Ding L, Deng WY, Huang YJ, Hughes A, Jia LB, Jin JH, Li SF, Liang SQ, Liu J, Liu XY, Sherlock S, Spicer T, Srivastava G, Tang H, Valdes P, Wang TX, Widdowson M, Wu MX, Xing YW, Xu CL, Yang J, Zhang C, Zhang ST, Zhang XW, Zhao F, Zhou ZK. A Middle Eocene lowland humid subtropical "Shangri-La" ecosystem in central Tibet. Proc Natl Acad Sci U S A. 2020 Dec 29;117(52):32989-32995. doi: 10.1073/pnas.2012647117. Epub 2020 Dec 07. PMID: 33288692; PMCID: PMC7777077.
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Showing 169 to 172 of 172 entries