Quantification of adulterated fox-derived components in meat products by drop digital polymerase chain reaction by Hui Wang, Chen Chen, Yan Zhang, Boxu Chen, Yongyan Li, Wenshen Jia, Jia Chen, Wei Zhou

“…This paper reported a novel approach to quantification of adulterated fox-derived components in meat products by drop digital polymerase chain reaction (ddPCR). …”
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The quantification of percentage filling of gutta-percha in obturated root canal using image processing and analysis by Pravin R. Lokhande, S. Balaguru

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Quantification of βâcarotene, lycopene, and chlorophyll content in tomato fruits of enrichment of chicken feathers composting by Mohan Arthanari, Senthilkumar Dhanapalan

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Dynamic Abrasion Resistance and Fractal-Based Damage Quantification in Fiber Rubber Concrete for Hydraulic Structures by Zhantao Li, Shuangxi Li, Chunmeng Jiang

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Development and Validation of Sibutramine Determination in Drug Products by Capillary Electrophoresis by A. M. Sukhanova, I. B. Perova, K. I. Eller, G. M. Rodionova, S. V. Chernova, V. N. Kuzina

“…To develop and validate a methodology for the determination of sibutramine in drugs by capillary electrophoresis (CE) using an ultraviolet diode array detector.Materials and methods. Quantitative determination of sibutramine in drugs was carried out using the CE method with an ultraviolet diode array detector. …”
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Comparing miR-16 and miR-1228 as an optimal endogenous control for quantification of circulating microRNAs in colorectal cancer patients by Chia-Lin Yang, Fu-Ming Tsai, Chuang-Wei Chen, Kuan-Hong Hsiao, Jia-Hui Chen, Woei-Yau Kao

“…Materials and Methods: The cel-miR-39 was a spiked-in RNA used as an external control and added to plasma samples before RNA extraction. …”
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Quantification and evaluation of strain reduction from small-bubble gas injection in Spallation Neutron Source target vessels by Hao Jiang, Drew E. Winder, David A. McClintock

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Austenite evolution and quantification in aged 250 maraging steel: A comparative analysis of X-ray diffraction methods by Fábio Lima da Silva, Julianna Magalhães Garcia, Alaelson Vieira Gomes, Luiz Paulo Mendonca Brandao

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A Miniaturized Device Based on Cobalt Oxide Nanoparticles for the Quantification of Uric Acid in Artificial and Human Sweat by Carlos D. Ruiz-Guerrero, Dulce V. Estrada-Osorio, Alejandro Gutiérrez, Fabiola I. Espinosa-Lagunes, Gabriel Luna-Barcenas, Ricardo A. Escalona-Villalpando, Luis G. Arriaga, Janet Ledesma-García

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Wedge splitting test method: quantification of influence of glued marble plates by two-parameter fracture mechanics by S. Seitl, B. Nieto García, I. Merta

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Wood waste quantification from the furniture industry in Ubá (Brazil) and its reuse prospects in civil construction by Roziani Maria Gomes, Antônio Cleber Gonçalves Tibiriçá, José Maria Franco de Carvalho, Gustavo Henrique Nalon, Leonardo Gonçalves Pedroti, Marcos Oliveira de Paula

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Recurrence Quantification Analysis of Center of Pressure Trajectories for Balance and Fall-Risk Assessment in Young and Older Adults by Emiliano Fernandez-Cervantes, Luis Montesinos, Andres Gonzalez-Nucamendi, Leandro Pecchia

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Development of Fast Analytical Method for the Detection and Quantification of Honey Adulteration Using Vibrational Spectroscopy and Chemometrics Tools by Omar Elhamdaoui, Aimen El Orche, Amine Cheikh, Brahim Mojemmi, Rachid Nejjari, Mustapha Bouatia

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Automated Deep Learning Based Cardiac Quantification in Hypertrophic Cardiomyopathy: A Comparative Study with Manual Segmentation by Shivam Angiras, Deb Kumar Boruah, Pranjal Phukan, Kalyan Sarma, Prince Das, Rajeev Bharadwaj, Harshit Jain, Ajmal Roshan

“…Recently, Deep Learning (DL) algorithms have emerged to automate cardiac quantification, but their performance in complex pathologies such as HCM still requires validation.Purpose: To compare the performance of a fully automated deep learning-based cardiac segmentation software (SW 2) (SuiteHEART) with conventional manual segmentation (SW 1) (syngo.Via) for quantifying crucial cardiac parameters in patients with HCM.Materials and Methods: In this prospective study, 25 consecutive adult patients (mean age 49±12 years) with HCM referred for CMR at our institute were included. …”
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Quantification of Glucosinolates in Seeds by Solid-State ¹³C-Nuclear Magnetic Resonance (NMR) by Stefania Mazzini, Marco Zuccolo, Angela Bassoli, Claudio Gardana, Gigliola Borgonovo

“…In this study, we evaluated solid-state nuclear magnetic resonance spectroscopy as an alternative method for the identification and quantification of total glucosinolates in the seeds of <i>Sisymbrium officinale</i>, <i>Brassica napus</i>, <i>Sinapis alba</i>, <i>Brassica nigra</i>, and <i>Moringa oleifera</i>. …”
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Optimization of mammosphere formation assay for quantification of il6-induced stemness in differentiated breast cancer cells by K. V. Nevskaya, L. V. Efimova, P. V. Korda, D. S. Dolgasheva, M. K. Ibragimova, M. E. Menyailo, E. V. Udut, N. V. Litviakov, A. G. Pershina

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Automatic Quantification Software for Geographic Atrophy Associated with Age-Related Macular Degeneration: A Validation Study by José M. Ruiz-Moreno, Jorge Ruiz-Medrano, Francisco Lugo, Belen Sirvent, Ignacio Flores-Moreno

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Quantification of solution annealing effects on microstructure and property in a laser powder bed fusion 316H stainless steel by Lin Gao, Srinivas Aditya Mantri, Xuan Zhang

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Uncertainty quantification of thermal barrier coatings lifetime on rotating turbine blades considering chemo-thermo-mechanically coupling failure by Weiliang Yan, Cong Li, Qianqian Zhou, Yuqi Xie, Yu Sun, Li Yang, Yichun Zhou

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A Novel and Advanced Diagnostic Approach toward Paracidovorax citrulli Causing Bacterial Fruit Blotch in Watermelon by Direct SYBR Green Real-Time PCR Assay by Hyeonheui Ham, Bang Wool Lee, Kyongnim Kim, Woohyung Lee, Yong Hwan Lee, Dong Suk Park

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