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Showing 9985 to 9996 of 80994 entries
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High-Sensitive Surface Plasmon Resonance Imaging Biosensor Based on Dual-Wavelength Differential Method.

Frontiers in chemistry

Zeng Y, Zhou J, Sang W, Kong W, Qu J, Ho HP, Zhou K, Gao BZ, Chen J, Shao Y.
PMID: 34957054
Front Chem. 2021 Dec 08;9:801355. doi: 10.3389/fchem.2021.801355. eCollection 2021.

Intensity interrogation surface plasmon resonance (ISPR) sensing has a simple schematic design and is the most widely used surface plasmon resonance technology at present. However, it has relatively low sensitivity, especially for ISPR imaging (ISPRi). In this paper, a...

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Zeng Y, Zhou J, Sang W, et al. High-Sensitive Surface Plasmon Resonance Imaging Biosensor Based on Dual-Wavelength Differential Method. Front Chem. 2021;9:801355doi: 10.3389/fchem.2021.801355.
Zeng, Y., Zhou, J., Sang, W., Kong, W., Qu, J., Ho, H. P., Zhou, K., Gao, B. Z., Chen, J., & Shao, Y. (2021). High-Sensitive Surface Plasmon Resonance Imaging Biosensor Based on Dual-Wavelength Differential Method. Frontiers in chemistry, 9801355. https://doi.org/10.3389/fchem.2021.801355
Zeng, Youjun, et al. "High-Sensitive Surface Plasmon Resonance Imaging Biosensor Based on Dual-Wavelength Differential Method." Frontiers in chemistry vol. 9 (2021): 801355. doi: https://doi.org/10.3389/fchem.2021.801355
Zeng Y, Zhou J, Sang W, Kong W, Qu J, Ho HP, Zhou K, Gao BZ, Chen J, Shao Y. High-Sensitive Surface Plasmon Resonance Imaging Biosensor Based on Dual-Wavelength Differential Method. Front Chem. 2021 Dec 08;9:801355. doi: 10.3389/fchem.2021.801355. eCollection 2021. PMID: 34957054; PMCID: PMC8693764.
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Hsa_circ_0062682 Promotes Serine Metabolism and Tumor Growth in Colorectal Cancer by Regulating the miR-940/PHGDH Axis.

Frontiers in cell and developmental biology

Sun S, Li C, Cui K, Liu B, Zhou M, Cao Y, Zhang J, Bian Z, Fei B, Huang Z.
PMID: 34957102
Front Cell Dev Biol. 2021 Dec 08;9:770006. doi: 10.3389/fcell.2021.770006. eCollection 2021.

Colorectal cancer (CRC) is one of the most common malignancies globally. Increasing evidence indicates that circular RNAs (circRNAs) play a pivotal role in various cancers. The present study focused on exploring the role of a functionally unknown circRNA, hsa_circ_0062682...

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Sun S, Li C, Cui K, et al. Hsa_circ_0062682 Promotes Serine Metabolism and Tumor Growth in Colorectal Cancer by Regulating the miR-940/PHGDH Axis. Front Cell Dev Biol. 2021;9:770006doi: 10.3389/fcell.2021.770006.
Sun, S., Li, C., Cui, K., Liu, B., Zhou, M., Cao, Y., Zhang, J., Bian, Z., Fei, B., & Huang, Z. (2021). Hsa_circ_0062682 Promotes Serine Metabolism and Tumor Growth in Colorectal Cancer by Regulating the miR-940/PHGDH Axis. Frontiers in cell and developmental biology, 9770006. https://doi.org/10.3389/fcell.2021.770006
Sun, Shengbai, et al. "Hsa_circ_0062682 Promotes Serine Metabolism and Tumor Growth in Colorectal Cancer by Regulating the miR-940/PHGDH Axis." Frontiers in cell and developmental biology vol. 9 (2021): 770006. doi: https://doi.org/10.3389/fcell.2021.770006
Sun S, Li C, Cui K, Liu B, Zhou M, Cao Y, Zhang J, Bian Z, Fei B, Huang Z. Hsa_circ_0062682 Promotes Serine Metabolism and Tumor Growth in Colorectal Cancer by Regulating the miR-940/PHGDH Axis. Front Cell Dev Biol. 2021 Dec 08;9:770006. doi: 10.3389/fcell.2021.770006. eCollection 2021. PMID: 34957102; PMCID: PMC8692793.
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[No title available]

Frontiers in plant science

Liu W, Feng J, Ma W, Zhou Y, Ma Z.
PMID: 34721491
Front Plant Sci. 2021 Oct 15;12:765173. doi: 10.3389/fpls.2021.765173. eCollection 2021.

Soil and freshwater salinization is increasingly becoming a problem worldwide and has adversely affected plant growth. However, most of the related studies have focused on sodium ion (Na

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Liu W, Feng J, Ma W, et al. . Front Plant Sci. 2021;12:765173doi: 10.3389/fpls.2021.765173.
Liu, W., Feng, J., Ma, W., Zhou, Y., & Ma, Z. (2021). . Frontiers in plant science, 12765173. https://doi.org/10.3389/fpls.2021.765173
Liu, Wei, et al. "." Frontiers in plant science vol. 12 (2021): 765173. doi: https://doi.org/10.3389/fpls.2021.765173
Liu W, Feng J, Ma W, Zhou Y, Ma Z. . Front Plant Sci. 2021 Oct 15;12:765173. doi: 10.3389/fpls.2021.765173. eCollection 2021. PMID: 34721491; PMCID: PMC8555695.
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Assessing the International Transferability of a Machine Learning Model for Detecting Medication Error in the General Internal Medicine Clinic: Multicenter Preliminary Validation Study.

JMIR medical informatics

Chin YPH, Song W, Lien CE, Yoon CH, Wang WC, Liu J, Nguyen PA, Feng YT, Zhou L, Li YCJ, Bates DW.
PMID: 33502331
JMIR Med Inform. 2021 Jan 27;9(1):e23454. doi: 10.2196/23454.

BACKGROUND: Although most current medication error prevention systems are rule-based, these systems may result in alert fatigue because of poor accuracy. Previously, we had developed a machine learning (ML) model based on Taiwan's local databases (TLD) to address this...

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Chin YPH, Song W, Lien CE, et al. Assessing the International Transferability of a Machine Learning Model for Detecting Medication Error in the General Internal Medicine Clinic: Multicenter Preliminary Validation Study. JMIR Med Inform. 2021;9(1):e23454doi: 10.2196/23454.
Chin, Y. P. H., Song, W., Lien, C. E., Yoon, C. H., Wang, W. C., Liu, J., Nguyen, P. A., Feng, Y. T., Zhou, L., Li, Y. C. J., & Bates, D. W. (2021). Assessing the International Transferability of a Machine Learning Model for Detecting Medication Error in the General Internal Medicine Clinic: Multicenter Preliminary Validation Study. JMIR medical informatics, 9(1), e23454. https://doi.org/10.2196/23454
Chin, Yen Po Harvey, et al. "Assessing the International Transferability of a Machine Learning Model for Detecting Medication Error in the General Internal Medicine Clinic: Multicenter Preliminary Validation Study." JMIR medical informatics vol. 9,1 (2021): e23454. doi: https://doi.org/10.2196/23454
Chin YPH, Song W, Lien CE, Yoon CH, Wang WC, Liu J, Nguyen PA, Feng YT, Zhou L, Li YCJ, Bates DW. Assessing the International Transferability of a Machine Learning Model for Detecting Medication Error in the General Internal Medicine Clinic: Multicenter Preliminary Validation Study. JMIR Med Inform. 2021 Jan 27;9(1):e23454. doi: 10.2196/23454. PMID: 33502331; PMCID: PMC7875695.
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Long Non-coding RNAs Gabarapl2 and Chrnb2 Positively Regulate Inflammatory Signaling in a Mouse Model of Dry Eye.

Frontiers in medicine

Yang Y, Chen M, Zhai Z, Dai Y, Gu H, Zhou X, Hong J.
PMID: 34957168
Front Med (Lausanne). 2021 Dec 10;8:808940. doi: 10.3389/fmed.2021.808940. eCollection 2021.

No abstract available.

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Yang Y, Chen M, Zhai Z, et al. Long Non-coding RNAs Gabarapl2 and Chrnb2 Positively Regulate Inflammatory Signaling in a Mouse Model of Dry Eye. Front Med (Lausanne). 2021;8:808940doi: 10.3389/fmed.2021.808940.
Yang, Y., Chen, M., Zhai, Z., Dai, Y., Gu, H., Zhou, X., & Hong, J. (2021). Long Non-coding RNAs Gabarapl2 and Chrnb2 Positively Regulate Inflammatory Signaling in a Mouse Model of Dry Eye. Frontiers in medicine, 8808940. https://doi.org/10.3389/fmed.2021.808940
Yang, Yuhan, et al. "Long Non-coding RNAs Gabarapl2 and Chrnb2 Positively Regulate Inflammatory Signaling in a Mouse Model of Dry Eye." Frontiers in medicine vol. 8 (2021): 808940. doi: https://doi.org/10.3389/fmed.2021.808940
Yang Y, Chen M, Zhai Z, Dai Y, Gu H, Zhou X, Hong J. Long Non-coding RNAs Gabarapl2 and Chrnb2 Positively Regulate Inflammatory Signaling in a Mouse Model of Dry Eye. Front Med (Lausanne). 2021 Dec 10;8:808940. doi: 10.3389/fmed.2021.808940. eCollection 2021. PMID: 34957168; PMCID: PMC8703135.
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Airborne pathogenic microorganisms and air cleaning technology development: A review.

Journal of hazardous materials

Song L, Zhou J, Wang C, Meng G, Li Y, Jarin M, Wu Z, Xie X.
PMID: 34688006
J Hazard Mater. 2022 Feb 15;424:127429. doi: 10.1016/j.jhazmat.2021.127429. Epub 2021 Oct 03.

Transmission of pathogens through air is a critical pathway for the spread of airborne diseases, as airborne pathogenic microorganisms cause several harmful infections. This review summarizes the occurrence, transmission, and adverse impacts of airborne pathogenic microorganisms that spread over...

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Song L, Zhou J, Wang C, et al. Airborne pathogenic microorganisms and air cleaning technology development: A review. J Hazard Mater. 2021;424:127429doi: 10.1016/j.jhazmat.2021.127429.
Song, L., Zhou, J., Wang, C., Meng, G., Li, Y., Jarin, M., Wu, Z., & Xie, X. (2022). Airborne pathogenic microorganisms and air cleaning technology development: A review. Journal of hazardous materials, 424127429. https://doi.org/10.1016/j.jhazmat.2021.127429
Song, Lu, et al. "Airborne pathogenic microorganisms and air cleaning technology development: A review." Journal of hazardous materials vol. 424 (2022): 127429. doi: https://doi.org/10.1016/j.jhazmat.2021.127429
Song L, Zhou J, Wang C, Meng G, Li Y, Jarin M, Wu Z, Xie X. Airborne pathogenic microorganisms and air cleaning technology development: A review. J Hazard Mater. 2022 Feb 15;424:127429. doi: 10.1016/j.jhazmat.2021.127429. Epub 2021 Oct 03. PMID: 34688006.
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Longitudinal changes in the bioactive proteins in human milk of the Chinese population: A systematic review.

Food science & nutrition

Ren Q, Zhou Y, Zhang W, Tian Y, Sun H, Zhao X, Xu Y, Jiang S.
PMID: 33473267
Food Sci Nutr. 2020 Dec 19;9(1):25-35. doi: 10.1002/fsn3.2061. eCollection 2021 Jan.

This systematic review aimed at investigating longitudinal changes in human milk bioactive protein concentrations in Chinese population. Both English and Chinese databases were searched. The data were pooled into six defined lactation stages. Weighted means of protein concentrations in...

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Ren Q, Zhou Y, Zhang W, et al. Longitudinal changes in the bioactive proteins in human milk of the Chinese population: A systematic review. Food Sci Nutr. 2020;9(1):25-35doi: 10.1002/fsn3.2061.
Ren, Q., Zhou, Y., Zhang, W., Tian, Y., Sun, H., Zhao, X., Xu, Y., & Jiang, S. (2021). Longitudinal changes in the bioactive proteins in human milk of the Chinese population: A systematic review. Food science & nutrition, 9(1), 25-35. https://doi.org/10.1002/fsn3.2061
Ren, Qiqi, et al. "Longitudinal changes in the bioactive proteins in human milk of the Chinese population: A systematic review." Food science & nutrition vol. 9,1 (2021): 25-35. doi: https://doi.org/10.1002/fsn3.2061
Ren Q, Zhou Y, Zhang W, Tian Y, Sun H, Zhao X, Xu Y, Jiang S. Longitudinal changes in the bioactive proteins in human milk of the Chinese population: A systematic review. Food Sci Nutr. 2020 Dec 19;9(1):25-35. doi: 10.1002/fsn3.2061. eCollection 2021 Jan. PMID: 33473267; PMCID: PMC7802555.
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Dual confinement of high-loading enzymes within metal-organic frameworks for glucose sensor with enhanced cascade biocatalysis.

Biosensors & bioelectronics

Wang Q, Chen M, Xiong C, Zhu X, Chen C, Zhou F, Dong Y, Wang Y, Xu J, Li Y, Liu J, Zhang H, Ye B, Zhou H, Wu Y.
PMID: 34688111
Biosens Bioelectron. 2022 Jan 15;196:113695. doi: 10.1016/j.bios.2021.113695. Epub 2021 Oct 06.

The intrinsically fragile nature and leakage of the enzymes is a major obstacle for the commercial sensor of a continuous glucose monitoring system. Herein, a dual confinement effect is developed in a three dimensional (3D) nanocage-based zeolite imidazole framework...

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Wang Q, Chen M, Xiong C, et al. Dual confinement of high-loading enzymes within metal-organic frameworks for glucose sensor with enhanced cascade biocatalysis. Biosens Bioelectron. 2021;196:113695doi: 10.1016/j.bios.2021.113695.
Wang, Q., Chen, M., Xiong, C., Zhu, X., Chen, C., Zhou, F., Dong, Y., Wang, Y., Xu, J., Li, Y., Liu, J., Zhang, H., Ye, B., Zhou, H., & Wu, Y. (2022). Dual confinement of high-loading enzymes within metal-organic frameworks for glucose sensor with enhanced cascade biocatalysis. Biosensors & bioelectronics, 196113695. https://doi.org/10.1016/j.bios.2021.113695
Wang, Qiuping, et al. "Dual confinement of high-loading enzymes within metal-organic frameworks for glucose sensor with enhanced cascade biocatalysis." Biosensors & bioelectronics vol. 196 (2022): 113695. doi: https://doi.org/10.1016/j.bios.2021.113695
Wang Q, Chen M, Xiong C, Zhu X, Chen C, Zhou F, Dong Y, Wang Y, Xu J, Li Y, Liu J, Zhang H, Ye B, Zhou H, Wu Y. Dual confinement of high-loading enzymes within metal-organic frameworks for glucose sensor with enhanced cascade biocatalysis. Biosens Bioelectron. 2022 Jan 15;196:113695. doi: 10.1016/j.bios.2021.113695. Epub 2021 Oct 06. PMID: 34688111.
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Relative Energy Deficiency in an Elite Nonendurance Male Athlete: A Case Report.

Current sports medicine reports

Zhou Y, Gu N, Wang W, Gao Y, Zhang J.
PMID: 34752433
Curr Sports Med Rep. 2021 Nov 01;20(11):591-593. doi: 10.1249/JSR.0000000000000906.

No abstract available.

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Zhou Y, Gu N, Wang W, et al. Relative Energy Deficiency in an Elite Nonendurance Male Athlete: A Case Report. Curr Sports Med Rep. 2021;20(11):591-593doi: 10.1249/JSR.0000000000000906.
Zhou, Y., Gu, N., Wang, W., Gao, Y., & Zhang, J. (2021). Relative Energy Deficiency in an Elite Nonendurance Male Athlete: A Case Report. Current sports medicine reports, 20(11), 591-593. https://doi.org/10.1249/JSR.0000000000000906
Zhou, Yun, et al. "Relative Energy Deficiency in an Elite Nonendurance Male Athlete: A Case Report." Current sports medicine reports vol. 20,11 (2021): 591-593. doi: https://doi.org/10.1249/JSR.0000000000000906
Zhou Y, Gu N, Wang W, Gao Y, Zhang J. Relative Energy Deficiency in an Elite Nonendurance Male Athlete: A Case Report. Curr Sports Med Rep. 2021 Nov 01;20(11):591-593. doi: 10.1249/JSR.0000000000000906. PMID: 34752433.
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Colorimetric determination of amyloid-β peptide using MOF-derived nanozyme based on porous ZnO-Co.

Mikrochimica acta

Zhou X, Wang S, Zhang C, Lin Y, Lv J, Hu S, Zhang S, Li M.
PMID: 33502585
Mikrochim Acta. 2021 Jan 27;188(2):56. doi: 10.1007/s00604-021-04705-4.

A sensitive and rapid colorimetric biosensor has been developed for determination of amyloid-β peptide (Aβ) and study of amyloidogenesis based on the high peroxidase-like activity of porous bimetallic ZnO-Co

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Zhou X, Wang S, Zhang C, et al. Colorimetric determination of amyloid-β peptide using MOF-derived nanozyme based on porous ZnO-Co. Mikrochim Acta. 2021;188(2):56doi: 10.1007/s00604-021-04705-4.
Zhou, X., Wang, S., Zhang, C., Lin, Y., Lv, J., Hu, S., Zhang, S., & Li, M. (2021). Colorimetric determination of amyloid-β peptide using MOF-derived nanozyme based on porous ZnO-Co. Mikrochimica acta, 188(2), 56. https://doi.org/10.1007/s00604-021-04705-4
Zhou, Xi, et al. "Colorimetric determination of amyloid-β peptide using MOF-derived nanozyme based on porous ZnO-Co." Mikrochimica acta vol. 188,2 (2021): 56. doi: https://doi.org/10.1007/s00604-021-04705-4
Zhou X, Wang S, Zhang C, Lin Y, Lv J, Hu S, Zhang S, Li M. Colorimetric determination of amyloid-β peptide using MOF-derived nanozyme based on porous ZnO-Co. Mikrochim Acta. 2021 Jan 27;188(2):56. doi: 10.1007/s00604-021-04705-4. PMID: 33502585.
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Illumina next-generation sequencing reveals the mitochondrial genome of .

Mitochondrial DNA. Part B, Resources

Guan B, Guo H, Zhou Z.
PMID: 33473484
Mitochondrial DNA B Resour. 2016 Jun 20;1(1):361-362. doi: 10.1080/23802359.2016.1168717.

Using Illumina next-generation sequencing (NGS), the complete mitochondrial genome (mitogenome) of

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Guan B, Guo H, Zhou Z. Illumina next-generation sequencing reveals the mitochondrial genome of . Mitochondrial DNA B Resour. 2016;1(1):361-362doi: 10.1080/23802359.2016.1168717.
Guan, B., Guo, H., & Zhou, Z. (2016). Illumina next-generation sequencing reveals the mitochondrial genome of . Mitochondrial DNA. Part B, Resources, 1(1), 361-362. https://doi.org/10.1080/23802359.2016.1168717
Guan, Bei, et al. "Illumina next-generation sequencing reveals the mitochondrial genome of ." Mitochondrial DNA. Part B, Resources vol. 1,1 (2016): 361-362. doi: https://doi.org/10.1080/23802359.2016.1168717
Guan B, Guo H, Zhou Z. Illumina next-generation sequencing reveals the mitochondrial genome of . Mitochondrial DNA B Resour. 2016 Jun 20;1(1):361-362. doi: 10.1080/23802359.2016.1168717. PMID: 33473484; PMCID: PMC7799970.
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Sequencing and analysis of the complete mitochondrial genome of .

Mitochondrial DNA. Part B, Resources

Chu H, Wu Z, Zhang H, Li C, Wang G, Zhou M, Zhao T.
PMID: 33473485
Mitochondrial DNA B Resour. 2016 Jun 20;1(1):365-366. doi: 10.1080/23802359.2016.1168719.

The complete sequence of the mitochondrial genome of the

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Chu H, Wu Z, Zhang H, et al. Sequencing and analysis of the complete mitochondrial genome of . Mitochondrial DNA B Resour. 2016;1(1):365-366doi: 10.1080/23802359.2016.1168719.
Chu, H., Wu, Z., Zhang, H., Li, C., Wang, G., Zhou, M., & Zhao, T. (2016). Sequencing and analysis of the complete mitochondrial genome of . Mitochondrial DNA. Part B, Resources, 1(1), 365-366. https://doi.org/10.1080/23802359.2016.1168719
Chu, Hongliang, et al. "Sequencing and analysis of the complete mitochondrial genome of ." Mitochondrial DNA. Part B, Resources vol. 1,1 (2016): 365-366. doi: https://doi.org/10.1080/23802359.2016.1168719
Chu H, Wu Z, Zhang H, Li C, Wang G, Zhou M, Zhao T. Sequencing and analysis of the complete mitochondrial genome of . Mitochondrial DNA B Resour. 2016 Jun 20;1(1):365-366. doi: 10.1080/23802359.2016.1168719. PMID: 33473485; PMCID: PMC7800139.
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Showing 9985 to 9996 of 80994 entries