Showing 1,101 - 1,120 results of 10,622 for search 'Quanqiu~', query time: 3.48s Refine Results
  1. 1101

    Quantitative Characterization of Pore Connectivity and Movable Fluid Distribution of Tight Sandstones: A Case Study of the Upper Triassic Chang 7 Member, Yanchang Formation in Ordos Basin, China by Boli Wang, Xisen Zhao, Wen Zhou, Bin Chang, Hao Xu

    Published 2020-01-01
    “…In this paper, multiple techniques including high-pressure mercury intrusion porosimetry (MIP), nuclear magnetic resonance (NMR), scanning electron microscopy (SEM), and microcomputer tomography scanning (micro-CT) were used for the quantitative characterization of pore structure, pore connectivity, and movable fluid distribution. …”
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    Rapid Quantification of Bacteria in Infected Root Canals Using Fluorescence Reagents and a Membrane Filter: A Pilot Study on Its Clinical Application to the Evaluation of the Outcomes of Endodontic Treatment by Takuichi Sato, Keiko Yamaki, Naoko Ishida, Megumi Shoji, Emika Sato, Yuki Abiko, Kazuhiro Hashimoto, Yasuhisa Takeuchi, Junko Matsuyama, Hidetoshi Shimauchi, Nobuhiro Takahashi

    Published 2012-01-01
    “…In the present pilot study, the new developed method, using fluorescence reagents and a membrane filter, was applied to the detection and quantification of bacteria in infected root canals, in order to evaluate the outcomes of the treatment. …”
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    A Simple Machine Learning-Based Quantitative Structure–Activity Relationship Model for Predicting pIC<sub>50</sub> Inhibition Values of FLT3 Tyrosine Kinase by Jackson J. Alcázar, Ignacio Sánchez, Cristian Merino, Bruno Monasterio, Gaspar Sajuria, Diego Miranda, Felipe Díaz, Paola R. Campodónico

    Published 2025-01-01
    “…This study aimed to develop a robust and user-friendly machine learning-based quantitative structure–activity relationship (QSAR) model to predict the inhibitory potency (pIC<sub>50</sub> values) of FLT3 inhibitors, addressing the limitations of previous models in dataset size, diversity, and predictive accuracy. …”
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  10. 1110

    Quality Evaluation of Decoction Pieces of Gardeniae Fructus Based on Qualitative Analysis of the HPLC Fingerprint and Triple-Q-TOF-MS/MS Combined with Quantitative Analysis of 12 Representative Components by Jing Xu, Rongrong Zhou, Lin Luo, Ying Dai, Yaru Feng, Zhihua Dou

    Published 2022-01-01
    “…In this study, quality evaluation (QE) of 40 batches of decoction pieces of Gardeniae Fructus (GF) produced by different manufacturers of herbal pieces was performed by qualitative analysis of the HPLC fingerprint and ultra-fast liquid chromatography (UFLC)-triple-Q-TOF-MS/MS combined with quantitative analysis of multiple components, which we established previously for QE of traditional medicine. …”
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  11. 1111

    Chemical Differentiation and Quantitative Analysis of Different Types of Panax Genus Stem-Leaf Based on a UPLC-Q-Exactive Orbitrap/MS Combined with Multivariate Statistical Analysis Approach by Lele Li, Yang Wang, Yang Xiu, Shuying Liu

    Published 2018-01-01
    “…Two quantitative methods (−ESI full scan and −ESI PRM MS) were developed to analyze ginsenosides in ginseng stem-leaf by using UPLC-Q-Exactive Orbitrap/MS. …”
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    The big challenge for livestock genomics is to make sequence data pay by Johnsson, Martin

    Published 2023-08-01
    Subjects: “…genomics, animal breeding, genomic prediction, whole-genome sequence, quantitative genetics…”
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