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  1. Article ; Online: Diabetes insipidus in a parturient with severe hypernatremia and transient unconscious after cesarean delivery: A case report.

    Ni, Xiu / Tao, Weimin / Xu, Zhendong

    Asian journal of surgery

    2023  Volume 46, Issue 12, Page(s) 6025–6026

    MeSH term(s) Pregnancy ; Female ; Humans ; Hypernatremia/complications ; Diabetes Insipidus/complications ; Pregnancy Complications ; Cesarean Section ; Diabetes Mellitus
    Language English
    Publishing date 2023-09-16
    Publishing country Netherlands
    Document type Case Reports ; Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2023.09.047
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  2. Article ; Online: A robust real-time flood forecasting method based on error estimation for reservoirs

    Dandan Shen / Weimin Bao / Peng Ni

    Aqua, Vol 71, Iss 4, Pp 518-

    2022  Volume 532

    Abstract: The observed discharge, an important input for flood forecasting systems, can significantly affect the accuracy of forecasting results. Since the reservoir inflow is not measured directly but calculated based on the observed reservoir stage and the ... ...

    Abstract The observed discharge, an important input for flood forecasting systems, can significantly affect the accuracy of forecasting results. Since the reservoir inflow is not measured directly but calculated based on the observed reservoir stage and the reservoir outflow, it always contains gross errors causing some inflow to be outliers. In this study, a robust error estimation method for real-time flood forecasting has been developed for reservoirs’ data processing. The method differs from the conventional flood forecasting method, in that it represses the gross errors by a robust loss function based on the real error distribution of measurements. Furthermore, a fluctuation coefficient has been proposed to quantify the degree of fluctuation of a jagged reservoir inflow. The performance of the method is evaluated by both synthetic data and real cases. By using floods generated synthetically by an ideal model in which the true values and errors are known, the method is shown to be efficient as theoretically expected. The results show that the method is efficient and universally applicable in different cases. And the degree of forecast improvement is positively related to the fluctuation coefficient of the floods. The more severe the fluctuation of the flood hydrograph, the more robust the method. HIGHLIGHTS A robust error estimation method for real-time flood forecasting in reservoirs is developed.; A fluctuation coefficient is proposed to quantify the degree of fluctuation of a jagged reservoir inflow.; The method is demonstrated to be efficient by an ideal model and 10 reservoir basins of different characteristics.; The performance of the proposed method is positively related to the fluctuation coefficient of the floods.;
    Keywords error distribution ; flood forecasting ; fluctuation coefficient ; reservoir inflow ; robust estimation ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350
    Subject code 550
    Language English
    Publishing date 2022-04-01T00:00:00Z
    Publisher IWA Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Workflow enhancement of TurboID-mediated proximity labeling for SPY signaling network mapping.

    Grismer, TaraBryn S / Karundasa, Sumudu S / Shrestha, Ruben / Byun, Danbi / Ni, Weimin / Reyes, Andres V / Xu, Shou-Ling

    bioRxiv : the preprint server for biology

    2024  

    Abstract: TurboID-based proximity labeling coupled to mass spectrometry (PL-MS) has emerged as a powerful tool for mapping protein-protein interactions in both plant and animal systems. Despite advances in sensitivity, PL-MS studies can still suffer from false ... ...

    Abstract TurboID-based proximity labeling coupled to mass spectrometry (PL-MS) has emerged as a powerful tool for mapping protein-protein interactions in both plant and animal systems. Despite advances in sensitivity, PL-MS studies can still suffer from false negatives, especially when dealing with low abundance bait proteins and their transient interactors. Protein-level enrichment for biotinylated proteins is well developed and popular, but direct detection of biotinylated proteins by peptide-level enrichment and the difference in results between direct and indirect detection remain underexplored. To address this gap, we compared and improved enrichment and data analysis methods using TurboID fused to SPY, a low-abundance O-fucose transferase, using an AAL-enriched SPY target library for cross-referencing. Our results showed that MyOne and M280 streptavidin beads significantly outperformed antibody beads for peptide-level enrichment, with M280 performing best. In addition, while a biotin concentration ≤ 50 μM is recommended for protein-level enrichment in plants, higher biotin concentrations can be used for peptide-level enrichment, allowing us to improve detection and data quality. FragPipe's MSFragger protein identification and quantification software outperformed Maxquant and Protein Prospector for SPY interactome enrichment due to its superior detection of biotinylated peptides. Our improved washing protocols for protein-level enrichment mitigated bead collapse issues, improving data quality, and reducing experimental time. We found that the two enrichment methods provided complementary results and identified a total of 160 SPY-TurboID-enriched interactors, including 60 previously identified in the AAL-enriched SPY target list and 100 additional novel interactors. SILIA quantitative proteomics comparing WT and
    Language English
    Publishing date 2024-02-18
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2024.02.17.580820
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  4. Article ; Online: Synthesis of MoS

    Sun, Wei / Zhang, Yaofang / Kang, Weimin / Deng, Nanping / Wang, Xiaoxiao / Kang, Xiaoying / Yan, Zirui / Pan, Yingwen / Ni, Jian

    RSC advances

    2022  Volume 12, Issue 30, Page(s) 19512–19527

    Abstract: Molybdenum disulfide ( ... ...

    Abstract Molybdenum disulfide (MoS
    Language English
    Publishing date 2022-07-06
    Publishing country England
    Document type Journal Article ; Review
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d2ra01532c
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Multiplex Mass Spectrometry Analysis of Amyloid Proteins in Human Plasma for Alzheimer's Disease Diagnosis.

    Ni, Weimin / Jagust, William / Wang, Daojing

    Journal of proteome research

    2021  Volume 20, Issue 8, Page(s) 4106–4112

    Abstract: Direct analysis of amyloid proteins in human plasma will promote rapid screening of brain amyloidosis, the earliest pathological signature of Alzheimer's disease. We developed a microflow liquid chromatography-targeted mass spectrometry assay for ... ...

    Abstract Direct analysis of amyloid proteins in human plasma will promote rapid screening of brain amyloidosis, the earliest pathological signature of Alzheimer's disease. We developed a microflow liquid chromatography-targeted mass spectrometry assay for quantitation of four intact β-amyloid proteins starting from 1 mL of human plasma samples. This method showed 90% accuracy for predicting brain amyloid using plasma Aβ42/Aβ40 values from 36 cognitively normal individuals in a prospective clinical study (raw data deposited in MassIVE, Data set ID MSV000087451). Our method may contribute to early diagnosis of Alzheimer's disease.
    MeSH term(s) Alzheimer Disease/diagnosis ; Amyloid beta-Peptides ; Amyloidogenic Proteins ; Biomarkers ; Humans ; Mass Spectrometry ; Peptide Fragments ; Prospective Studies
    Chemical Substances Amyloid beta-Peptides ; Amyloidogenic Proteins ; Biomarkers ; Peptide Fragments
    Language English
    Publishing date 2021-07-27
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2078618-9
    ISSN 1535-3907 ; 1535-3893
    ISSN (online) 1535-3907
    ISSN 1535-3893
    DOI 10.1021/acs.jproteome.1c00424
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Multiplex Mass Spectrometry Analysis of Amyloid Proteins in Human Plasma for Alzheimer’s Disease Diagnosis

    Ni, Weimin / Jagust, William / Wang, Daojing

    Journal of proteome research. 2021 July 27, v. 20, no. 8

    2021  

    Abstract: Direct analysis of amyloid proteins in human plasma will promote rapid screening of brain amyloidosis, the earliest pathological signature of Alzheimer’s disease. We developed a microflow liquid chromatography-targeted mass spectrometry assay for ... ...

    Abstract Direct analysis of amyloid proteins in human plasma will promote rapid screening of brain amyloidosis, the earliest pathological signature of Alzheimer’s disease. We developed a microflow liquid chromatography-targeted mass spectrometry assay for quantitation of four intact β-amyloid proteins starting from 1 mL of human plasma samples. This method showed 90% accuracy for predicting brain amyloid using plasma Aβ42/Aβ40 values from 36 cognitively normal individuals in a prospective clinical study (raw data deposited in MassIVE, Data set ID MSV000087451). Our method may contribute to early diagnosis of Alzheimer’s disease.
    Keywords amyloid ; amyloidosis ; brain ; data collection ; early diagnosis ; humans ; mass spectrometry ; proteome ; research
    Language English
    Dates of publication 2021-0727
    Size p. 4106-4112.
    Publishing place American Chemical Society
    Document type Article
    ZDB-ID 2078618-9
    ISSN 1535-3907 ; 1535-3893
    ISSN (online) 1535-3907
    ISSN 1535-3893
    DOI 10.1021/acs.jproteome.1c00424
    Database NAL-Catalogue (AGRICOLA)

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  7. Article ; Online: GloWS-Net

    Jinwei Bu / Kegen Yu / Xiaoqing Zuo / Jun Ni / Yongfa Li / Weimin Huang

    Remote Sensing, Vol 15, Iss 590, p

    A Deep Learning Framework for Retrieving Global Sea Surface Wind Speed Using Spaceborne GNSS-R Data

    2023  Volume 590

    Abstract: Spaceborne Global Navigation Satellite System Reflectometry (GNSS-R) is a new remote sensing technology that uses GNSS signals reflected from the Earth’s surface to estimate geophysical parameters. Because of its unique advantages such as high temporal ... ...

    Abstract Spaceborne Global Navigation Satellite System Reflectometry (GNSS-R) is a new remote sensing technology that uses GNSS signals reflected from the Earth’s surface to estimate geophysical parameters. Because of its unique advantages such as high temporal and spatial resolutions, low observation cost, wide coverage and all-weather operation, it has been widely used in land and ocean remote sensing fields. Ocean wind monitoring is the main objective of the recently launched Cyclone GNSS (CYGNSS). In previous studies, wind speed was usually retrieved using features extracted from delay-Doppler maps (DDMs) and empirical geophysical model functions (GMFs). However, it is a challenge to employ the GMF method if using multiple sea state parameters as model input. Therefore, in this article, we propose an improved deep learning network framework to retrieve global sea surface wind speed using spaceborne GNSS-R data, named GloWS-Net. GloWS-Net considers the fusion of auxiliary information including ocean swell significant wave height (SWH), sea surface rainfall and wave direction to build an end-to-end wind speed retrieval model. In order to verify the improvement of the proposed model, ERA5 and Cross-Calibrated Multi-Platform (CCMP) wind data were used as reference for extensive testing to evaluate the wind speed retrieval performance of the GloWS-Net model and previous models (i.e., GMF, fully connected network (FCN) and convolutional neural network (CNN)). The results show that, when using ERA5 winds as ground truth, the root mean square error (RMSE) of the proposed GloWS-Net model is 23.98% better than that of the MVE method. Although the GloWS-Net model and the FCN model have similar RMSE (1.92 m/s), the mean absolute percentage error (MAPE) of the former is improved by 16.56%; when using CCMP winds as ground truth, the RMSE of the proposed GloWS-Net model is 2.16 m/s, which is 20.27% better than the MVE method. Compared with the FCN model, the MAPE is improved by 17.75%. Meanwhile, the GloWS-Net outperforms the FCN, ...
    Keywords Cyclone Global Navigation Satellite System (CYGNSS) ; delay-Doppler maps (DDMs) ; ocean wind speed ; geophysical model functions (GMFs) ; deep learning ; Science ; Q
    Subject code 551
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: Novel Au-Se Nanoprobes for Specific Thrombin Detection in Diagnosis of Lung Cancer.

    Zhu, Koujun / Lu, Rongguo / Qu, Weifeng / Gu, Jiaqi / Xiang, Hu / Zhang, Weimin / Ni, Bin

    Journal of biomedical nanotechnology

    2022  Volume 18, Issue 4, Page(s) 976–985

    Abstract: Thrombin is associated with malignant tumors and promotes tumor development, metastasis, and angiogenesis, therefore its identification especially in lung cancer cells is crucial. Because the interference ... ...

    Abstract Thrombin is associated with malignant tumors and promotes tumor development, metastasis, and angiogenesis, therefore its identification especially in lung cancer cells is crucial. Because the interference of
    MeSH term(s) Gold/chemistry ; Humans ; Lung Neoplasms/diagnostic imaging ; Metal Nanoparticles/chemistry ; Peptides/chemistry ; Thrombin
    Chemical Substances Peptides ; Gold (7440-57-5) ; Thrombin (EC 3.4.21.5)
    Language English
    Publishing date 2022-07-19
    Publishing country United States
    Document type Journal Article
    ISSN 1550-7033
    ISSN 1550-7033
    DOI 10.1166/jbn.2022.3302
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Natural product manoalide promotes EGFR-TKI sensitivity of lung cancer cells by KRAS-ERK pathway and mitochondrial Ca

    Ni, Yinyun / Liu, Jiaye / Zeng, Lingyan / Yang, Ying / Liu, Lei / Yao, Menglin / Chai, Li / Zhang, Lu / Li, Yi / Zhang, Li / Li, Weimin

    Frontiers in pharmacology

    2023  Volume 13, Page(s) 1109822

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2023-01-11
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2022.1109822
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  10. Article ; Online: Unravelling CD4

    Zhai, Luna / Hu, Wangling / Li, Jingyong / Li, Dan / Xia, Ni / Tang, Tingting / Nie, Shaofang / Zhang, Min / Jiao, Jiao / Lv, Bingjie / Yang, Fen / Lu, Yuzhi / Zha, Lingfeng / Gu, Muyang / Hu, Xiajun / Wen, Shuang / Hu, Desheng / Zhang, Li / Wang, Weimin /
    Cheng, Xiang

    Immunology

    2024  

    Abstract: Immune cell infiltration is a significant pathological process in abdominal aortic aneurysms (AAA). T cells, particularly ... ...

    Abstract Immune cell infiltration is a significant pathological process in abdominal aortic aneurysms (AAA). T cells, particularly CD4
    Language English
    Publishing date 2024-04-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 80124-0
    ISSN 1365-2567 ; 0019-2805 ; 0953-4954
    ISSN (online) 1365-2567
    ISSN 0019-2805 ; 0953-4954
    DOI 10.1111/imm.13796
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