Establishment of a rapid and quantitative method for detecting the range of infection exposure in preclinical dental education by Ayaka Ueda, Yuki Shinoda-Ito, Kazu Takeuchi-Hatanaka, Takashi Ito, Shintaro Ono, Kimito Hirai, Kazuhiro Omori, Tadashi Yamamoto, Shogo Takashiba

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Quantitative Analysis of Structural Parameters Importance of Helical Temperature Microfiber Sensor by Artificial Neural Network by Juan Liu, Minghui Chen, Hang Yu, Jinjin Han, Hongyi Jia, Zhili Lin, Zhijun Wu, Jixiong Pu, Xining Zhang, Hao Dai

“…With the assistance of the evaluation algorithms based on the well-performed backpropagation neural network (BPNN), we quantitatively analyze the importance of the structural parameters of the supported helical microfiber (HMF) temperature sensor. …”
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Quantitative response assessment of combined immunotherapy in a murine melanoma model using multiparametric MRI by Maurice M. Heimer, Amra Cimic, Sandra Kloiber-Langhorst, Melissa J. Antons, Jennifer Stueckl, Heidrun Hirner-Eppeneder, Wolfgang G. Kunz, Olaf Dietrich, Jens Ricke, Felix L. Herr, Clemens C. Cyran

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MQGA: A quantitative analysis of brain network hubs using multi-graph theoretical indices by Hongzhou Wu, Zhenzhen Yang, Qingquan Cao, Pan Wang, Bharat B. Biswal, Benjamin Klugah-Brown

“…Using benchmark network, random simulation network (N = 100), resting fMRI data from the ADHD-200 NYU dataset (HC = 110, ADHD = 146), and the Peking dataset (HC = 120, ADHD = 83), we introduce the Multi-criteria Quantitative Graph Analysis (MQGA) method, which employs betweenness centrality, degree centrality, and participation coefficient to determine the connector (con) hub index and provincial (pro) hub index. …”
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Residual Quantitative Flow Ratio to Estimate Post‐Percutaneous Coronary Intervention Fractional Flow Reserve by Pepijn A. van Diemen, Ruben W. de Winter, Stefan P. Schumacher, Michiel J. Bom, Roel S. Driessen, Henk Everaars, Ruurt A. Jukema, Yvemarie B. Somsen, Lenka Popelkova, Peter M. van de Ven, Albert C. van Rossum, Tim P. van de Hoef, Stefan de Haan, Koen M. Marques, Jorrit S. Lemkes, Yolande Appelman, Alexander Nap, Niels J. Verouden, Maksymilian P. Opolski, Ibrahim Danad, Paul Knaapen

“…Objectives. Quantitative flow ratio (QFR) computes fractional flow reserve (FFR) based on invasive coronary angiography (ICA). …”
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Inheritance of quantitative characteristics of new donors of short- stem winter rye (Secale cereale L.) by В. В. Скорик, О. І. Буняк

“…It is definited the coefficients of quantitative signs’ inheritance for new donors of dominant stem shortness in winter rye. …”
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A quantitative comparison of single-dye tracking analysis tools using Monte Carlo simulations. by Laura Weimann, Kristina A Ganzinger, James McColl, Kate L Irvine, Simon J Davis, Nicholas J Gay, Clare E Bryant, David Klenerman

“…To evaluate the applicability of both approaches, a quantitative comparison of both methods under typically encountered experimental conditions is necessary. …”
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The importance of method selection when estimating diet composition with quantitative fatty acid signature analysis. by Jeffrey F Bromaghin, Todd C Atwood, Karyn D Rode

“…Quantitative fatty acid signature analysis (QFASA) is a common method of estimating the composition of prey species in the diets of consumers from polar and temperate ecosystems in which lipids are an important source of energy. …”
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Quantitative Assessment of EV Energy Consumption: Applying Coast Down Testing to WLTP and EPA Protocols by Teeraphon Phophongviwat, Piyawong Poopanya, Kanchana Sivalertporn

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Performance evaluation of Human Immunodeficiency Virus Type 1 RNA Quantitative Diagnostic Kit assay by Alicia Fleites Vázquez, María Teresa Pérez Guevara

“…Objective: This work aimed to evaluate the performance of the HIV Type 1 RNA Quantitative Diagnostic Kit (PCR - Fluorescence Probing) for quantitative detection of HIV-1 RNA in human samples. …”
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Application of laser light backscattering for qualitative and quantitative assessment of dilution of clear and cloudy apple juices by Hoa Xuan Mac, Nga Thi Thanh Ha, László Friedrich, Lien Le Phuong Nguyen, László Baranyai

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A Quantitative Evaluation Method for Organic Matter in Shale Based on CPMG and FID NMR Experiments by XU Chenyu, XIE Ranhong, WANG Xiangyu, GUO Jiangfeng

“…This proves that the method can be used for quantitative evaluation of organic matter.…”
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Laser-induced Breakdown Spectroscopy Based on Pre-classification Strategy for Quantitative Analysis of Rock Samples by Weiheng KONG, Lingwei ZENG, Yu RAO, Sha CHEN, Xu WANG, Yanting YANG, Yixiang DUAN, Qingwen FAN

“…The correlation coefficients of Si, Ca, Mg, and K elements in the test set after quantitative analysis are increased from 0.664, 0.638, 0.461, and 0.231 to 0.999, 0.994, 0.999, and 0.996, respectively. …”
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THE EFFECT OF MUSIC PREFERENCE ON LEARNING OUTCOMES IN SOLFEGIO COURSES by Clemy Ikasari Ichwan, Dani Nur Saputra

“…This study uses a quantitative method to investigate the relationship between the two variables where music preference is the independent variable (X) and the learning outcomes of solfegio courses are the dependent variable (Y). …”
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Evaluating Junior High School Textbooks in Terms of Attention to the Concept of Charity by Sirous Mahmoudi

“…The research method was descriptive with quantitative content analysis. The population comprised junior high school textbooks. …”
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Quantitatively Decoupling the Relationships Between Discharge and Sediment Yield During Flood Events in China's Loess Plateau by Zelin Li, Guangyao Gao, Anqi Huang, Lishan Ran, Dongfeng Li, Bojie Fu

“…Significant direct effects of vegetation (path coefficient (β) = −0.921) and precipitation (β = 0.616) on coefficient a were observed (p < 0.05). …”
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Multiparametric magnetic resonance imaging of experimental chronic kidney disease: A quantitative correlation study with histology. by Gunnar Schley, Jutta Jordan, Stephan Ellmann, Seymour Rosen, Kai-Uwe Eckardt, Michael Uder, Carsten Willam, Tobias Bäuerle

“…<h4>Materials and methods</h4>We evaluated excised kidneys in a murine adenine-induced nephropathy model for CKD by MRI and correlated quantitative MRI parameters (T1, T2, and T2* relaxation times, apparent diffusion coefficient and fractional anisotropy) with histological hallmarks of progressive CKD, including renal fibrosis, inflammation, and microvascular rarefaction. …”
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Genetic diversity among black cumin (Nigella sativa L.) accessions based on quantitative and qualitative traits by Solomon Kassaye Ejigu, Wosene Gebreselassie Abtew, Ermias Lulekal Molla

“…The variation of the genotypes for seed yield was between 0.66 and 1.69 t ha−1 with a mean of 1.02 t ha−1. The genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) for 16 traits are estimated in the range between 3.81% and 49.84% and 6.50% and 50.90%, respectively. …”
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Quantitative influence of solidification path on solute micro-segregation and inclusion precipitation in the solidification process of rail steel by Xinliang Gao, Wenyue Ba, Chenyang Wang, Zhuangzhuang Zhang, Yinlong Wang, Tengfei Li, Zhinan Yang, Fucheng Zhang

“…The influence of solidification path on solute micro-segregation and inclusion precipitation was quantitatively analyzed. Furthermore, the effects of MnS inclusion precipitation, equilibrium distribution coefficient (ki), and back-diffusion coefficient (βi) on solute micro-segregation were investigated. …”
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Acceptability criteria for linear dependence in validating UV-spectrophotometric methods of quantitative determination in forensic and toxicological analysis by L. Yu. Klimenko, G. P. Petyunin, S. M. Trut, V. P. Moroz

“…The next criteria and the order of acceptability estimation of linearity for UV-spectrophotometric methods of quantitative determination analyses in biological fluids used in forensic and toxicological analysis have been offered: acceptability estimation of linear dependence parameters is carried out in two stages – for the lines obtained using model solutions (without matrix) and calibration samples respectively; two approaches has been suggested for parameters estimation of linear dependence obtained using model solutions; they are based on: 1) assumption of equality of the uncertainty related to the procedure of sample preparation of calibration standards, and the uncertainty of the calibration curve plotted by model solutions; 2) assumption of insignificance of the uncertainty of the calibration curve plotted by model solutions; for both approaches the acceptability criteria have been offered for residual standard deviation and correlation coefficient ; for estimation of parameters of linear dependence obtained using calibration samples it has been suggested to proceed from assumption of equality of the calibration uncertainty and the uncertainty of measuring the absorbance and sample preparation of the sample to be analysed; within this approach the acceptability criteria have been offered for residual standard deviation RSD0 and correlation coefficient Rс; the parameters of within-run (within-day) and between-run (between-day) linearity should satisfy these criteria. …”
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