Rapid quantification of inflammation in tissue samples using perfluorocarbon emulsion and fluorine-19 nuclear magnetic resonance by Eric T. Ahrens, Won-Bin Young, Hongyan Xu, Lisa K. Pusateri

“…We describe a versatile and rapid approach to quantitatively assay macrophage burden in intact tissue samples. …”
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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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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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Enhancing Prospecting Target Prediction Precision: A Multi-Source Data Mining Approach in Gansu’s Beishan Area by Lihui Zhu, Runsheng Han, Yan Zhang, Hao Fu, Jianmin Luo, Yunzhi Luo

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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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Validation of a 3D Markerless Motion Capture Tool Using Multiple Pose and Depth Estimations for Quantitative Gait Analysis by Mathis D’Haene, Frédéric Chorin, Serge S. Colson, Olivier Guérin, Raphaël Zory, Elodie Piche

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Quantitatively regulated and recognized dual-precipitates of Mg-5Sn alloy through an improved twinning-aging-detwinning and strengthening mechanisms by Ruihao Fu, Ying Zeng, Yangjie Wan, Xiaoying Qian, Shiwei Xu, Dongdi Yin

“…The orientation relationship between precipitates and the matrix could be quantitatively analyzed in the same region. Subsequently, the Orowan model was refined to quantify the strength enhancement effect following the orientation regulation of precipitates. …”
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Absolute Quantitative Metagenomic Analysis Provides More Accurate Insights for the Anti-Colitis Effect of Berberine via Modulation of Gut Microbiota by Jiaguo Zhan, Jiale Cheng, Wenhui Chang, Yuying Su, Xixin Yue, Chongming Wu

“…This study aims to identify the optimal method for microbiome analysis by comparing relative and absolute quantitative sequencing. Using ulcerative colitis, which is closely associated with gut microbiota, as a disease model and berberine (which affects microbiota) versus sodium butyrate (which does not) as drugs, relative and absolute quantitative methods were used to evaluate the varying effects of the different drugs on the regulation of gut microbiota in UC-affected animals. …”
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Quantitative Analysis of Muscarinic Antagonist Atropine and Tiotropium in Microvolume Plasma Using Liquid Chromatography–Mass Spectrometry: Application for Pharmacokinetic Studies... by Marilène Trancart, Mylène Penot, Gwladys Meesemaecker, Romain Boffy, Anne-Sophie Hanak, André-Guilhem Calas, Nicolas Taudon

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Crisis management strategiess of the residential users in rural areas - cities (Sample: rural - urban Aslanduz, Ardebil province) by Masud Taghvai, Jaber Alizadeh

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A Quantitative Microbial Risk Assessment (QMRA) framework for exposure from toilet flushing using experimental aerosol concentration measurements by Ciara A. Higham, Martín López-García, Catherine J. Noakes, Emma Tidswell, Louise Fletcher

“…Despite identification of aerosols and positive microbial sampling, there is a lack of quantitative assessments linking aerosol generation to infection risk in toilet settings. …”
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The Monthly Cycling of Food Insecurity in Latinas at Risk for Diabetes: Methods, Retention, and Sample Characteristics for a Microlongitudinal Design by Angela Bermúdez-Millán, Rafael Pérez-Escamilla, Sofia Segura-Pérez, James Grady, Richard S Feinn VI, Hanako Agresta, Dean Kim, Julie Ann Wagner

“…ObjectiveThis study aimed to determine the quantitative methodology, recruitment and retention strategies, predictors of retention across time, and baseline sample demographics. …”
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Quantitative Analysis of Adulterations in Oat Flour by FT-NIR Spectroscopy, Incomplete Unbalanced Randomized Block Design, and Partial Least Squares by Ning Wang, Xingxiang Zhang, Zhuo Yu, Guodong Li, Bin Zhou

“…This paper developed a rapid and nondestructive method for quantitative analysis of a cheaper adulterant (wheat flour) in oat flour by NIR spectroscopy and chemometrics. …”
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Evaluation of quantitative changes, pollution indexes and distribution of heavy metals Pb and Cd in the dust falling (case study: Zahedan city) by Sara Abdollahi, HamidReza Azimzadeh, MohammadReza Ekhtesasi, Asghar Mosleh-Arani

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Safety-Prioritized Optimization of Asteroid Sample Site Selection Using Genetic Algorithm and Variable Neighborhood Tabu Search by Huan Xie, Jie Chen, Xiongfeng Yan, Yifan Wang, Yaqiong Wang, Qingfan Zhang, Yuanting Xi, Jun Xie, Ming Yang, Yongjiu Feng, Yusheng Xu, Xiaohua Tong

“…Current methods often lack robust quantitative models and tend to become stuck in local optima. …”
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Exploring the standardized detection and sampling methods of human nasal SARS-CoV-2 RBD IgA by Xuanxuan Zhang, Xuanxuan Zhang, Jizong Jia, Chaoying Hu, Chaoying Hu, Yulong Fu, Guanxing Liu, Yajing Li, Qian He, Qian He, Fan Gao, Fan Gao, Na Li, Lina Wang, Jianping Chu, Henggang Xu, Zhihao Fu, Zhihao Fu, Hui Zhao, Hui Zhao, Zhenglun Liang, Zhenglun Liang, Jingxin Li, Miao Xu, Miao Xu, Qunying Mao, Qunying Mao

“…However, a lack of standardized nasal antibody detection and sampling methods has hindered cross-study comparability and vaccine development.MethodsThis study uses SARS-CoV-2 as a model pathogen to standardize nasal antibody detection methods and sampling methods. …”
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Quantitative genetics in the monk parakeet (Myiopsitta monachus) from central Argentina: Estimation of heritability and maternal effects on external morphological traits. by Juan J Martínez, María C de Aranzamendi, Enrique H Bucher

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A Spatiotemporal Dataset of Soil Properties in Northeast China Based on Soil Sampling and Interpolation From 2009 to 2020 by Shuzhen Li, Jieyong Wang, Xu Lin, Yaqun Liu

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Study of the possibility of using an artificial neural network to recognize and assess the contribution of individual radionuclides to the total beta spectrum by V. S. Repin

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End-to-End Horse Gait Classification in Uncontrolled Environments Using Inertial Sensors by Mahaut Gerard, Sandrine Hanne-Poujade, Guillaume Dubois, Henry Chateau, Neila Mezghani

“…In the first subtask, we compared the performance of a machine learning (XGBoost), a deep learning (LSTM) and a transfer learning (ENCOD-CNN) model, depending on the labelled training sample size. …”
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