A comparative study on quantitative precipitation estimation based on GPM satellite and X-band phased-array weather radar by Yongyan Su, Yongyan Su, Yongyan Su, Di Wang, Wenyu Kong, Bo Zhao, Yan Liu, Xuejiao Chen, Debin Su

“…The results reveal that XPAR outperforms the GPM satellite in quantitative precipitation estimation, with a correlation coefficient of approximately 0.88 between XPAR data and ground observations, compared to 0.66 for GPM. …”
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A Practical Approach for a Wide Range of Liver Iron Quantitation Using a Magnetic Resonance Imaging Technique by Ping Hou, Uday R. Popat, Richard J. Lindsay, Edward F. Jackson, Haesun Choi

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A New Algorithm Based on the Phytoplankton Absorption Coefficient for Red Tide Monitoring in the East China Sea via a Geostationary Ocean Color Imager (GOCI) by Xiaohui Xu, Yaqin Huang, Jian Chen, Zhi Zeng

“…Rapid and accurate dynamic monitoring and quantitative analysis of red tide disasters are of significant practical importance to national economic development. …”
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Quantitative Assessment of Bolt Looseness in Beam–Column Joints Using SH-Typed Guided Waves and Deep Neural Network by Ru Zhang, Xiaodong Sui, Yuanfeng Duan, Yaozhi Luo, Yi Fang, Rui Miao

“…The dispersion properties of the I-shaped steel beam were analyzed using the semi-analytical finite element method, and a mode weight coefficient was presented to clarify the mode distribution under different types of external loads. …”
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Complex Approach to Assess Results of Surgical Correction of Eyelids Position by M. B. Gushchina, A. V. Tereshchenko, D. S. Afanasyeva

“…The objective component describes main functions of vision and dynamics of eyelids position with coefficient of symmetry and coefficient of surgical efficacy. …”
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Application of Fourier Transform Near-Infrared Spectroscopy and Chemometrics for Quantitative Analysis of Milk of Lime (MOL) Used in the Sugar Industry by Radosław Michał Gruska, Alina Kunicka-Styczyńska, Magdalena Molska

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Using Calibration Transfer Strategy to Update Hyperspectral Model for Quantitating Soluble Solid Content of Blueberry Across Different Batches by Biao Chen, Xuhuang Huang, Shenwen Tan, Guangjun Qiu, Huaiyin Lin, Xuejun Yue, Junzhi Chen, Wenshan Zhong, Xuantian Li, Le Zhang

“…This study investigated the transferability of a hyperspectral model for the quantitating soluble solid content of blueberries across different batches for two harvest years. …”
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Quantitative Ultrasound Texture Analysis of Breast Tumors: A Comparison of a Cart-Based and a Wireless Ultrasound Scanner by David Alberico, Lakshmanan Sannachi, Maria Lourdes Anzola Pena, Joyce Yip, Laurentius O. Osapoetra, Schontal Halstead, Daniel DiCenzo, Sonal Gandhi, Frances Wright, Michael Oelze, Gregory J. Czarnota

“…Previous work has demonstrated quantitative ultrasound (QUS) analysis techniques for extracting features and texture features from ultrasound radiofrequency data which can be used to distinguish between benign and malignant breast masses. …”
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Quantitative determination of illegally added malachite green residues in aquaculture using water-soluble quantum dots as fluorescent probes by XIE Xiaomei, LIAO Min, HUANG Yu, YE Zhaojin, LÜ Ting

“…Under the optimal detection condition, water-soluble CdTe/ZnS quantum dot fluorescent probe for quantitative detection of trace residues of malachite green was carried out in water and fish products. …”
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The quantitative definition of <i>N</i>-vinylpyrrolidone and 2-methyl-5-vinylpyridine units ratio in the copolymers by UV-spectrophotometry by S. A. Kedik, D. V. Eremin, Yu. V. Kochkina, E. S. Zhavoronok, V. V. Suslov, A. V. Panov

“…The quantitative definition method of N-vinylpyrrolidone and 2-methyl-5-vinylpyridine ratio units in the copolymers using UV-spectrophotometry was developed. …”
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Variation analysis and quantitative trait loci mapping of 16 free amino acid traits in the tea plant (Camellia sinensis) by Dongyang Zhang, Xujiao Wei, Jing Zhang, Dong Cui, Peng Zhang, Shengxiang Chen, Yao Zou, Wei Chen, Dandan Tang, Chen Liu, Jinlin Bian, Qian Tang, Liqiang Tan

“…Within the population, the coefficients of variation (CV) for the FAAs ranged from 23 to 41% within each season, and the correlation coefficients (r) varied from 0.15 to 0.35 across seasons. …”
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Comparative Quantitative and Discriminant Analysis of Wheat Flour with Different Levels of Chemical Azodicarbonamide Using NIR Spectroscopy and Hyperspectral Imaging by Hongju He, Yuling Wang, Shengqi Jiang, Jie Zhang, Jicai Bi, Hong Qiao, Leiqing Pan, Xingqi Ou

“…Twenty-four wavelengths selected from a NIR SG1D spectra in a 168/42 dataset and 23 from a raw HSI spectra in a 147/63 dataset allowed for the better performance of quantitative models in ADA determination with higher R²_V and RMSE_V in validation (R²_V > 0.98, RMSE_V < 3.87 mg/kg) and for discriminant models in WF classification with 100% accuracy. …”
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Quantitative magnetic resonance imaging parameters of lumbar paraspinal muscle impairment in myotonic dystrophy type 2 and their evolution with aging by Viktoria Kokosova, Viktoria Kokosova, Peter Krkoska, Peter Krkoska, Daniela Vlazna, Daniela Vlazna, Daniela Vlazna, Michaela Sladeckova, Michaela Sladeckova, Michaela Sladeckova, Michaela Sladeckova, Marek Dostal, Marek Dostal, Milos Kerkovsky, Milos Kerkovsky, Tamara Barusova, Petra Ovesna, Olesja Parmova, Olesja Parmova, Katerina Matulova, Blanka Adamova, Blanka Adamova

“…Using correlation coefficients and regression models, the relationship between MRI and the maximal isometric lumbar extensor muscle strength (MILEMS) and lumbar extensor muscle endurance (LEME), and their evolution with age, were assessed.ResultsLPM showed significantly higher FF in DM2 patients compared to HV (21.3% vs. 11.3%, p-value &lt;0.001). …”
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Clinical application research on the quantitative measurement of supraspinatus muscle fatty degeneration based on PACS system to improve preoperative assessment by Sitong Zhang, Yan Huang, Jian Hu, Shiao Li, Beijie Qi, Wu Wang, Menghong Cao, Qian Wang

“…Bland-Altman analysis showed 60%–85% of direct vision measurements exceeded clinically acceptable limits of agreement (±10%).ConclusionsQuantitative multiplane PACS-based FI assessment improves accuracy and reliability over traditional single-plane visual evaluation, better reflecting heterogeneous fat distribution in the supraspinatus muscle. …”
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Simultaneous Determination of Lead and cadmium in Environmental Samples Using Zinc-diethyldithiocarbamates by Bashar Qasim

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Regression Analysis in Development of Method for Isolation and Quantitative Determination of Water-soluble Polysaccharides from Sunflower Roots of One-year-old by N. A. Dyakova

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Quantitative Structure–Activity Relationship (QSAR) Modeling of Chiral CCR2 Antagonists with a Multidimensional Space of Novel Chirality Descriptors by Ramanathan Natarajan, Ganapathy S. Natarajan, Subhash C. Basak

“…The development of chirality descriptors for quantitative chirality structure–activity relationship (QCSAR) modeling has always attracted attention, owing to the importance of chiral molecules in pharmaceutical, agriculture, food, and fragrance industries, and environmental toxicology. …”
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Creep Behavior and Quantitative Prediction of Marine Soft Clay Based on a Nonlinear Elasto-Plastic–Viscous Element Assembly Model by Yajun Liu, Ning Fang, Yang Zheng, Ke Wu, Rong Chen, Haijun Lu, Vu Quoc Vuong

“…The predicted–measured creep difference remained within 10%, and the surface-fit coefficient of determination reached R² = 0.97, enabling rapid estimation of deformation for the given stress and time conditions. …”
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Development and Evaluation of Up-Converting Phosphor Technology-Based Lateral Flow Assay for Quantitative Detection of NT-proBNP in Blood. by Xiaoli Yang, Liping Liu, Qingfang Hao, Deyong Zou, Xiaoli Zhang, Liping Zhang, Hongmei Li, Yong Qiao, Huansheng Zhao, Lei Zhou

“…The limit of detection of the UPT-LF assay, with a coefficient of variation (CV) of less than 15%, was 116 ng/L, which is lower than the clinical diagnosis cutoff (150 ng/mL). …”
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Rapid Classification and Quantitative Prediction of Aflatoxin B₁ Content and Colony Counts in Nutmeg Based on Electronic Nose by Ruiqi Yang, Keyao Zhu, Yuanyu Zhao, Xingyu Guo, Yushi Wang, Jiayu Wang, Huiqin Zou, Yonghong Yan

“…In terms of qualitative analysis, the established classification model can achieve a more than 90% true positive rate, suggesting that E-nose could identify early mildew. In quantitative analysis, E-nose combined with Back Propagation Neural Network achieved the highest prediction accuracy, since the correlation coefficient between the predicted value and the measured value of aflatoxin B₁ is 0.9776, the TAMC is 0.9443, and the TYMC is 0.9685. …”
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