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Showing 9985 to 9996 of 30001 entries
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Application of telemedicine during the coronavirus disease epidemics: a rapid review and meta-analysis.

Annals of translational medicine

Gao Y, Liu R, Zhou Q, Wang X, Huang L, Shi Q, Wang Z, Lu S, Li W, Ma Y, Luo X, Fukuoka T, Ahn HS, Lee MS, Luo Z, Liu E, Chen Y, Shu C, Tian D.
PMID: 32566563
Ann Transl Med. 2020 May;8(10):626. doi: 10.21037/atm-20-3315.

BACKGROUND: As COVID-19 has become a global pandemic, early prevention and control of the epidemic is extremely important. Telemedicine, which includes medical advice given over telephone, Internet, mobile phone applications or other similar ways, may be an efficient way...

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Gao Y, Liu R, Zhou Q, et al. Application of telemedicine during the coronavirus disease epidemics: a rapid review and meta-analysis. Ann Transl Med. 2020;8(10):626doi: 10.21037/atm-20-3315.
Gao, Y., Liu, R., Zhou, Q., Wang, X., Huang, L., Shi, Q., Wang, Z., Lu, S., Li, W., Ma, Y., Luo, X., Fukuoka, T., Ahn, H. S., Lee, M. S., Luo, Z., Liu, E., Chen, Y., Shu, C., Tian, D. (2020). Application of telemedicine during the coronavirus disease epidemics: a rapid review and meta-analysis. Annals of translational medicine, 8(10), 626. https://doi.org/10.21037/atm-20-3315
Gao, Yelei, et al. "Application of telemedicine during the coronavirus disease epidemics: a rapid review and meta-analysis." Annals of translational medicine vol. 8,10 (2020): 626. doi: https://doi.org/10.21037/atm-20-3315
Gao Y, Liu R, Zhou Q, Wang X, Huang L, Shi Q, Wang Z, Lu S, Li W, Ma Y, Luo X, Fukuoka T, Ahn HS, Lee MS, Luo Z, Liu E, Chen Y, Shu C, Tian D. Application of telemedicine during the coronavirus disease epidemics: a rapid review and meta-analysis. Ann Transl Med. 2020 May;8(10):626. doi: 10.21037/atm-20-3315. PMID: 32566563; PMCID: PMC7290625.
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Effectiveness and safety of glucocorticoids to treat COVID-19: a rapid review and meta-analysis.

Annals of translational medicine

Lu S, Zhou Q, Huang L, Shi Q, Zhao S, Wang Z, Li W, Tang Y, Ma Y, Luo X, Fukuoka T, Ahn HS, Lee MS, Luo Z, Liu E, Chen Y, Zhou C, Peng D.
PMID: 32566564
Ann Transl Med. 2020 May;8(10):627. doi: 10.21037/atm-20-3307.

BACKGROUND: Glucocorticoids are widely used in the treatment of various pulmonary inflammatory diseases, but they are also often accompanied by significant adverse reactions. Published guidelines point out that low dose and short duration systemic glucocorticoid therapy may be considered...

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Lu S, Zhou Q, Huang L, et al. Effectiveness and safety of glucocorticoids to treat COVID-19: a rapid review and meta-analysis. Ann Transl Med. 2020;8(10):627doi: 10.21037/atm-20-3307.
Lu, S., Zhou, Q., Huang, L., Shi, Q., Zhao, S., Wang, Z., Li, W., Tang, Y., Ma, Y., Luo, X., Fukuoka, T., Ahn, H. S., Lee, M. S., Luo, Z., Liu, E., Chen, Y., Zhou, C., & Peng, D. (2020). Effectiveness and safety of glucocorticoids to treat COVID-19: a rapid review and meta-analysis. Annals of translational medicine, 8(10), 627. https://doi.org/10.21037/atm-20-3307
Lu, Shuya, et al. "Effectiveness and safety of glucocorticoids to treat COVID-19: a rapid review and meta-analysis." Annals of translational medicine vol. 8,10 (2020): 627. doi: https://doi.org/10.21037/atm-20-3307
Lu S, Zhou Q, Huang L, Shi Q, Zhao S, Wang Z, Li W, Tang Y, Ma Y, Luo X, Fukuoka T, Ahn HS, Lee MS, Luo Z, Liu E, Chen Y, Zhou C, Peng D. Effectiveness and safety of glucocorticoids to treat COVID-19: a rapid review and meta-analysis. Ann Transl Med. 2020 May;8(10):627. doi: 10.21037/atm-20-3307. PMID: 32566564; PMCID: PMC7290628.
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Carbenium ion-mediated oligomerization of methylglyoxal for secondary organic aerosol formation.

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

Ji Y, Shi Q, Li Y, An T, Zheng J, Peng J, Gao Y, Chen J, Li G, Wang Y, Zhang F, Zhang AL, Zhao J, Molina MJ, Zhang R.
PMID: 32493751
Proc Natl Acad Sci U S A. 2020 Jun 16;117(24):13294-13299. doi: 10.1073/pnas.1912235117. Epub 2020 Jun 03.

Secondary organic aerosol (SOA) represents a major constituent of tropospheric fine particulate matter, with profound implications for human health and climate. However, the chemical mechanisms leading to SOA formation remain uncertain, and atmospheric models consistently underpredict the global SOA...

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Ji Y, Shi Q, Li Y, et al. Carbenium ion-mediated oligomerization of methylglyoxal for secondary organic aerosol formation. Proc Natl Acad Sci U S A. 2020;117(24):13294-13299doi: 10.1073/pnas.1912235117.
Ji, Y., Shi, Q., Li, Y., An, T., Zheng, J., Peng, J., Gao, Y., Chen, J., Li, G., Wang, Y., Zhang, F., Zhang, A. L., Zhao, J., Molina, M. J., & Zhang, R. (2020). Carbenium ion-mediated oligomerization of methylglyoxal for secondary organic aerosol formation. Proceedings of the National Academy of Sciences of the United States of America, 117(24), 13294-13299. https://doi.org/10.1073/pnas.1912235117
Ji, Yuemeng, et al. "Carbenium ion-mediated oligomerization of methylglyoxal for secondary organic aerosol formation." Proceedings of the National Academy of Sciences of the United States of America vol. 117,24 (2020): 13294-13299. doi: https://doi.org/10.1073/pnas.1912235117
Ji Y, Shi Q, Li Y, An T, Zheng J, Peng J, Gao Y, Chen J, Li G, Wang Y, Zhang F, Zhang AL, Zhao J, Molina MJ, Zhang R. Carbenium ion-mediated oligomerization of methylglyoxal for secondary organic aerosol formation. Proc Natl Acad Sci U S A. 2020 Jun 16;117(24):13294-13299. doi: 10.1073/pnas.1912235117. Epub 2020 Jun 03. PMID: 32493751; PMCID: PMC7306812.
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A big data approach to improving the vehicle emission inventory in China.

Nature communications

Deng F, Lv Z, Qi L, Wang X, Shi M, Liu H.
PMID: 32493934
Nat Commun. 2020 Jun 03;11(1):2801. doi: 10.1038/s41467-020-16579-w.

Estimating truck emissions accurately would benefit atmospheric research and public health protection. Here, we developed a full-sample enumeration approach TrackATruck to bridge low-frequency but full-size vehicles driving big data to high-resolution emission inventories. Based on 19 billion trajectories, we...

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Deng F, Lv Z, Qi L, et al. A big data approach to improving the vehicle emission inventory in China. Nat Commun. 2020;11(1):2801doi: 10.1038/s41467-020-16579-w.
Deng, F., Lv, Z., Qi, L., Wang, X., Shi, M., & Liu, H. (2020). A big data approach to improving the vehicle emission inventory in China. Nature communications, 11(1), 2801. https://doi.org/10.1038/s41467-020-16579-w
Deng, Fanyuan, et al. "A big data approach to improving the vehicle emission inventory in China." Nature communications vol. 11,1 (2020): 2801. doi: https://doi.org/10.1038/s41467-020-16579-w
Deng F, Lv Z, Qi L, Wang X, Shi M, Liu H. A big data approach to improving the vehicle emission inventory in China. Nat Commun. 2020 Jun 03;11(1):2801. doi: 10.1038/s41467-020-16579-w. PMID: 32493934; PMCID: PMC7271216.
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Ratiometric persistent luminescence aptasensors for carcinoembryonic antigen detection.

Mikrochimica acta

Shi L, Zheng W, Miao H, Liu H, Jing X, Zhao Y.
PMID: 33073306
Mikrochim Acta. 2020 Oct 19;187(11):615. doi: 10.1007/s00604-020-04593-0.

NIR-emitted ZnGa

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Shi L, Zheng W, Miao H, et al. Ratiometric persistent luminescence aptasensors for carcinoembryonic antigen detection. Mikrochim Acta. 2020;187(11):615doi: 10.1007/s00604-020-04593-0.
Shi, L., Zheng, W., Miao, H., Liu, H., Jing, X., & Zhao, Y. (2020). Ratiometric persistent luminescence aptasensors for carcinoembryonic antigen detection. Mikrochimica acta, 187(11), 615. https://doi.org/10.1007/s00604-020-04593-0
Shi, Lixia, et al. "Ratiometric persistent luminescence aptasensors for carcinoembryonic antigen detection." Mikrochimica acta vol. 187,11 (2020): 615. doi: https://doi.org/10.1007/s00604-020-04593-0
Shi L, Zheng W, Miao H, Liu H, Jing X, Zhao Y. Ratiometric persistent luminescence aptasensors for carcinoembryonic antigen detection. Mikrochim Acta. 2020 Oct 19;187(11):615. doi: 10.1007/s00604-020-04593-0. PMID: 33073306.
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A deep learning algorithm for detection of oral cavity squamous cell carcinoma from photographic images: A retrospective study.

EClinicalMedicine

Fu Q, Chen Y, Li Z, Jing Q, Hu C, Liu H, Bao J, Hong Y, Shi T, Li K, Zou H, Song Y, Wang H, Wang X, Wang Y, Liu J, Liu H, Chen S, Chen R, Zhang M, Zhao J, Xiang J, Liu B, Jia J, Wu H, Zhao Y, Wan L, Xiong X.
PMID: 33150326
EClinicalMedicine. 2020 Sep 23;27:100558. doi: 10.1016/j.eclinm.2020.100558. eCollection 2020 Oct.

BACKGROUND: The overall prognosis of oral cancer remains poor because over half of patients are diagnosed at advanced-stages. Previously reported screening and earlier detection methods for oral cancer still largely rely on health workers' clinical experience and as yet...

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Fu Q, Chen Y, Li Z, et al. A deep learning algorithm for detection of oral cavity squamous cell carcinoma from photographic images: A retrospective study. EClinicalMedicine. 2020;27:100558doi: 10.1016/j.eclinm.2020.100558.
Fu, Q., Chen, Y., Li, Z., Jing, Q., Hu, C., Liu, H., Bao, J., Hong, Y., Shi, T., Li, K., Zou, H., Song, Y., Wang, H., Wang, X., Wang, Y., Liu, J., Liu, H., Chen, S., Chen, R., Zhang, M., Zhao, J., Xiang, J., Liu, B., Jia, J., Wu, H., Zhao, Y., Wan, L., & Xiong, X. (2020). A deep learning algorithm for detection of oral cavity squamous cell carcinoma from photographic images: A retrospective study. EClinicalMedicine, 27100558. https://doi.org/10.1016/j.eclinm.2020.100558
Fu, Qiuyun, et al. "A deep learning algorithm for detection of oral cavity squamous cell carcinoma from photographic images: A retrospective study." EClinicalMedicine vol. 27 (2020): 100558. doi: https://doi.org/10.1016/j.eclinm.2020.100558
Fu Q, Chen Y, Li Z, Jing Q, Hu C, Liu H, Bao J, Hong Y, Shi T, Li K, Zou H, Song Y, Wang H, Wang X, Wang Y, Liu J, Liu H, Chen S, Chen R, Zhang M, Zhao J, Xiang J, Liu B, Jia J, Wu H, Zhao Y, Wan L, Xiong X. A deep learning algorithm for detection of oral cavity squamous cell carcinoma from photographic images: A retrospective study. EClinicalMedicine. 2020 Sep 23;27:100558. doi: 10.1016/j.eclinm.2020.100558. eCollection 2020 Oct. PMID: 33150326; PMCID: PMC7599313.
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Scaling laws of electroconvective flow with finite vortex height near permselective membranes.

Physical review. E

Liu W, Zhou Y, Shi P.
PMID: 33075936
Phys Rev E. 2020 Sep;102(3):033102. doi: 10.1103/PhysRevE.102.033102.

In a steady state, the linear scaling laws are confirmed between the intensity characteristics of electroconvective (EC) vortex (including the vortex height and electroosmotic slip velocity) and the applied voltage for the nonshear EC flow with finite vortex height...

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Liu W, Zhou Y, Shi P. Scaling laws of electroconvective flow with finite vortex height near permselective membranes. Phys Rev E. 2020;102(3):033102doi: 10.1103/PhysRevE.102.033102.
Liu, W., Zhou, Y., & Shi, P. (2020). Scaling laws of electroconvective flow with finite vortex height near permselective membranes. Physical review. E, 102(3), 033102. https://doi.org/10.1103/PhysRevE.102.033102
Liu, Wei, et al. "Scaling laws of electroconvective flow with finite vortex height near permselective membranes." Physical review. E vol. 102,3 (2020): 033102. doi: https://doi.org/10.1103/PhysRevE.102.033102
Liu W, Zhou Y, Shi P. Scaling laws of electroconvective flow with finite vortex height near permselective membranes. Phys Rev E. 2020 Sep;102(3):033102. doi: 10.1103/PhysRevE.102.033102. PMID: 33075936.
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Correction to: MSX2 suppression through inhibition of TGFβ signaling enhances hematopoietic differentiation of human embryonic stem cells.

Stem cell research & therapy

Wang H, Wang M, Wang Y, Wen Y, Chen X, Wu D, Su P, Zhou W, Shi L, Zhou J.
PMID: 32552746
Stem Cell Res Ther. 2020 Jun 17;11(1):242. doi: 10.1186/s13287-020-01760-1.

An amendment to this paper has been published and can be accessed via the original article.

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Wang H, Wang M, Wang Y, et al. Correction to: MSX2 suppression through inhibition of TGFβ signaling enhances hematopoietic differentiation of human embryonic stem cells. Stem Cell Res Ther. 2020;11(1):242doi: 10.1186/s13287-020-01760-1.
Wang, H., Wang, M., Wang, Y., Wen, Y., Chen, X., Wu, D., Su, P., Zhou, W., Shi, L., & Zhou, J. (2020). Correction to: MSX2 suppression through inhibition of TGFβ signaling enhances hematopoietic differentiation of human embryonic stem cells. Stem cell research & therapy, 11(1), 242. https://doi.org/10.1186/s13287-020-01760-1
Wang, Hongtao, et al. "Correction to: MSX2 suppression through inhibition of TGFβ signaling enhances hematopoietic differentiation of human embryonic stem cells." Stem cell research & therapy vol. 11,1 (2020): 242. doi: https://doi.org/10.1186/s13287-020-01760-1
Wang H, Wang M, Wang Y, Wen Y, Chen X, Wu D, Su P, Zhou W, Shi L, Zhou J. Correction to: MSX2 suppression through inhibition of TGFβ signaling enhances hematopoietic differentiation of human embryonic stem cells. Stem Cell Res Ther. 2020 Jun 17;11(1):242. doi: 10.1186/s13287-020-01760-1. PMID: 32552746; PMCID: PMC7302127.
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Clinical characteristics of children with COVID-19: a rapid review and meta-analysis.

Annals of translational medicine

Wang Z, Zhou Q, Wang C, Shi Q, Lu S, Ma Y, Luo X, Xun Y, Li W, Baskota M, Yang Y, Zhai H, Fukuoka T, Ahn HS, Lee MS, Luo Z, Liu E, Chen Y.
PMID: 32566557
Ann Transl Med. 2020 May;8(10):620. doi: 10.21037/atm-20-3302.

BACKGROUND: Most guidelines on COVID-19 published so far include recommendations for patients regardless of age. Clinicians need a more accurate understanding of the clinical characteristics of children with COVID-19.METHODS: We searched studies reporting clinical characteristics in children with COVID-19...

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Wang Z, Zhou Q, Wang C, et al. Clinical characteristics of children with COVID-19: a rapid review and meta-analysis. Ann Transl Med. 2020;8(10):620doi: 10.21037/atm-20-3302.
Wang, Z., Zhou, Q., Wang, C., Shi, Q., Lu, S., Ma, Y., Luo, X., Xun, Y., Li, W., Baskota, M., Yang, Y., Zhai, H., Fukuoka, T., Ahn, H. S., Lee, M. S., Luo, Z., Liu, E., Chen, Y. (2020). Clinical characteristics of children with COVID-19: a rapid review and meta-analysis. Annals of translational medicine, 8(10), 620. https://doi.org/10.21037/atm-20-3302
Wang, Zijun, et al. "Clinical characteristics of children with COVID-19: a rapid review and meta-analysis." Annals of translational medicine vol. 8,10 (2020): 620. doi: https://doi.org/10.21037/atm-20-3302
Wang Z, Zhou Q, Wang C, Shi Q, Lu S, Ma Y, Luo X, Xun Y, Li W, Baskota M, Yang Y, Zhai H, Fukuoka T, Ahn HS, Lee MS, Luo Z, Liu E, Chen Y. Clinical characteristics of children with COVID-19: a rapid review and meta-analysis. Ann Transl Med. 2020 May;8(10):620. doi: 10.21037/atm-20-3302. PMID: 32566557; PMCID: PMC7290619.
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The protective effect of polyphyllin I on myocardial ischemia/reperfusion injury in rats.

Annals of translational medicine

Huang R, Shu J, Dai X, Liu Y, Yu F, Shi G.
PMID: 32566581
Ann Transl Med. 2020 May;8(10):644. doi: 10.21037/atm-20-3371.

BACKGROUND: Myocardial ischemia/reperfusion (I/R) injury has become a global public health concern. An increasing amount of evidence has shown that polyphyllin I (PPI) has anti-apoptotic and antioxidant functions. This study was performed to evaluate the cardioprotective effects of PPI...

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Huang R, Shu J, Dai X, et al. The protective effect of polyphyllin I on myocardial ischemia/reperfusion injury in rats. Ann Transl Med. 2020;8(10):644doi: 10.21037/atm-20-3371.
Huang, R., Shu, J., Dai, X., Liu, Y., Yu, F., & Shi, G. (2020). The protective effect of polyphyllin I on myocardial ischemia/reperfusion injury in rats. Annals of translational medicine, 8(10), 644. https://doi.org/10.21037/atm-20-3371
Huang, Ruizhen, et al. "The protective effect of polyphyllin I on myocardial ischemia/reperfusion injury in rats." Annals of translational medicine vol. 8,10 (2020): 644. doi: https://doi.org/10.21037/atm-20-3371
Huang R, Shu J, Dai X, Liu Y, Yu F, Shi G. The protective effect of polyphyllin I on myocardial ischemia/reperfusion injury in rats. Ann Transl Med. 2020 May;8(10):644. doi: 10.21037/atm-20-3371. PMID: 32566581; PMCID: PMC7290651.
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The Factors and Pathways Regulating the Activation of Mammalian Primordial Follicles .

Frontiers in cell and developmental biology

Chen Y, Yang W, Shi X, Zhang C, Song G, Huang D.
PMID: 33102482
Front Cell Dev Biol. 2020 Sep 30;8:575706. doi: 10.3389/fcell.2020.575706. eCollection 2020.

Mammalian ovaries consist of follicles as basic functional units. Each follicle comprised an innermost oocyte and several surrounding flattened granulosa cells. Unlike males, according to the initial size of the primordial follicle pool and the rate of its activation...

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Chen Y, Yang W, Shi X, et al. The Factors and Pathways Regulating the Activation of Mammalian Primordial Follicles . Front Cell Dev Biol. 2020;8:575706doi: 10.3389/fcell.2020.575706.
Chen, Y., Yang, W., Shi, X., Zhang, C., Song, G., & Huang, D. (2020). The Factors and Pathways Regulating the Activation of Mammalian Primordial Follicles . Frontiers in cell and developmental biology, 8575706. https://doi.org/10.3389/fcell.2020.575706
Chen, Yao, et al. "The Factors and Pathways Regulating the Activation of Mammalian Primordial Follicles ." Frontiers in cell and developmental biology vol. 8 (2020): 575706. doi: https://doi.org/10.3389/fcell.2020.575706
Chen Y, Yang W, Shi X, Zhang C, Song G, Huang D. The Factors and Pathways Regulating the Activation of Mammalian Primordial Follicles . Front Cell Dev Biol. 2020 Sep 30;8:575706. doi: 10.3389/fcell.2020.575706. eCollection 2020. PMID: 33102482; PMCID: PMC7554314.
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Molecular Dynamics Investigations of Binding Mechanism for Triazoles Inhibitors to CYP51.

Frontiers in molecular biosciences

Shi N, Zheng Q, Zhang H.
PMID: 33102531
Front Mol Biosci. 2020 Sep 25;7:586540. doi: 10.3389/fmolb.2020.586540. eCollection 2020.

The sterol 14α demethylase enzyme (CYP51) is an important target of fungal infections. However, the molecular mechanism between triazoles inhibitors and CYP51 remains obscure. In this study, we have investigated the binding mechanism and tunnel characteristic upon four triazoles...

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Shi N, Zheng Q, Zhang H. Molecular Dynamics Investigations of Binding Mechanism for Triazoles Inhibitors to CYP51. Front Mol Biosci. 2020;7:586540doi: 10.3389/fmolb.2020.586540.
Shi, N., Zheng, Q., & Zhang, H. (2020). Molecular Dynamics Investigations of Binding Mechanism for Triazoles Inhibitors to CYP51. Frontiers in molecular biosciences, 7586540. https://doi.org/10.3389/fmolb.2020.586540
Shi, Na, et al. "Molecular Dynamics Investigations of Binding Mechanism for Triazoles Inhibitors to CYP51." Frontiers in molecular biosciences vol. 7 (2020): 586540. doi: https://doi.org/10.3389/fmolb.2020.586540
Shi N, Zheng Q, Zhang H. Molecular Dynamics Investigations of Binding Mechanism for Triazoles Inhibitors to CYP51. Front Mol Biosci. 2020 Sep 25;7:586540. doi: 10.3389/fmolb.2020.586540. eCollection 2020. PMID: 33102531; PMCID: PMC7546855.
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Showing 9985 to 9996 of 30001 entries