Han N - Search Results

1

A stepwise strategy to distinguish menstrual blood from peripheral blood by Fisher's discriminant function.

He H, Ji A, Zhao Y, Han N, Hu S, Kong Q, Jiang L, Ye J, Liu Y, Sun Q. He H, et al. Among authors: han n. Int J Legal Med. 2020 May;134(3):845-851. doi: 10.1007/s00414-019-02196-w. Epub 2019 Nov 16. Int J Legal Med. 2020. PMID: 31734726

2

Identification of five types of forensic body fluids based on stepwise discriminant analysis.

He H, Han N, Ji C, Zhao Y, Hu S, Kong Q, Ye J, Ji A, Sun Q. He H, et al. Among authors: han n. Forensic Sci Int Genet. 2020 Sep;48:102337. doi: 10.1016/j.fsigen.2020.102337. Epub 2020 Jun 30. Forensic Sci Int Genet. 2020. PMID: 32693370

3

Identification of Peripheral Blood and Menstrual Blood Based on the Expression Level of MicroRNAs and Discriminant Analysis.

He HX, Ji AQ, Han N, Zhao YX, Hu S, Kong QL, Liu Y, Sun QF. He HX, et al. Among authors: han n. Fa Yi Xue Za Zhi. 2020 Aug;36(4):514-518. doi: 10.12116/j.issn.1004-5619.2020.04.016. Fa Yi Xue Za Zhi. 2020. PMID: 33047536 Free article. Chinese, English.

4

Correction to: A stepwise strategy to distinguish menstrual blood from peripheral blood by Fisher's discriminant function.

He H, Ji A, Zhao Y, Han N, Hu S, Kong Q, Jiang L, Ye J, Liu Y, Sun Q. He H, et al. Among authors: han n. Int J Legal Med. 2022 May;136(3):971-972. doi: 10.1007/s00414-022-02805-1. Int J Legal Med. 2022. PMID: 35254495 No abstract available.

5

Screening and evaluation of endogenous reference genes for miRNA expression analysis in forensic body fluid samples.

Wei S, Hu S, Han N, Wang G, Chen H, Yao Q, Zhao Y, Ye J, Ji A, Sun Q. Wei S, et al. Among authors: han n. Forensic Sci Int Genet. 2023 Mar;63:102827. doi: 10.1016/j.fsigen.2023.102827. Epub 2023 Jan 5. Forensic Sci Int Genet. 2023. PMID: 36642061

6

Observations on ozone treatment of excess sludge.

Zhao YX, Yin J, Yu HL, Han N, Tian FJ. Zhao YX, et al. Among authors: han n. Water Sci Technol. 2007;56(9):167-75. doi: 10.2166/wst.2007.710. Water Sci Technol. 2007. PMID: 18025744

7

[Purification and biological activity of rh-leptin expressed in Escherichia coli].

Zhao YR, Wang JF, You L, Gao CY, Tian ZG, Zhang J, Han N, Yin J, Sun R. Zhao YR, et al. Among authors: han n. Sheng Wu Gong Cheng Xue Bao. 2001 Mar;17(2):175-8. Sheng Wu Gong Cheng Xue Bao. 2001. PMID: 11411226 Chinese.

8

Subway opening enables urban green development: Evidence from difference-in-differences and double dual machine learning methods.

Yang J, Liu P, Zhong F, Han N. Yang J, et al. Among authors: han n. J Environ Manage. 2025 Jan 22;375:124177. doi: 10.1016/j.jenvman.2025.124177. Online ahead of print. J Environ Manage. 2025. PMID: 39848191

9

Self-assembly of multi-arm star PEG containing TXA9 into nanoparticle for the efficient chemotherapy of NSCLC.

Wang Q, Liu Z, Yao J, Xie H, Liu Z, Zhai J, Li S, Zhang JM, Han N, Yin J. Wang Q, et al. Among authors: han n. Drug Deliv Transl Res. 2025 Jan 20. doi: 10.1007/s13346-025-01793-0. Online ahead of print. Drug Deliv Transl Res. 2025. PMID: 39833467

10

Fuzzy bifocal disambiguation for partial multi-label learning.

Fang X, Hu X, Hu Y, Chen Y, Xie S, Han N. Fang X, et al. Among authors: han n. Neural Netw. 2025 Jan 14;185:107137. doi: 10.1016/j.neunet.2025.107137. Online ahead of print. Neural Netw. 2025. PMID: 39826390

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