Feature Extraction and Classification of Music Content Based on Deep Learning by Qianqiu Shi, Young Chun Ko

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A Comparison Theorem for Oscillation of the Even-Order Nonlinear Neutral Difference Equation by Quanxin Zhang

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Therapeutic effects of traditional Chinese medicine on Hepatitis B-related liver fibrosis: A case study by Quanbin Wu

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Claudette Fillard, Elizabeth Cady Stanton. Naissance du féminisme américain à Seneca Falls, Lyon, ENS Editions, 2009Lori D. Ginzberg, Elizabeth Cady Stanton: An American Life, New... by Hélène Quanquin

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Quantitative fluorescent nanoparticle tracking analysis and nano‐flow cytometry enable advanced characterization of single extracellular vesicles by Danilo Mladenović, Joseph Brealey, Ben Peacock, Kairi Koort, Nataša Zarovni

“…This provided absolute marker quantification and more insightful analyses of EV heterogeneity and marker stoichiometry. …”
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Near-Infrared Spectroscopy as an Analytical Process Technology for the On-Line Quantification of Water Precipitation Processes during Danhong Injection by Xuesong Liu, Chunyan Wu, Shu Geng, Ye Jin, Lianjun Luan, Yong Chen, Yongjiang Wu

“…This paper used near-infrared (NIR) spectroscopy for the on-line quantitative monitoring of water precipitation during Danhong injection. …”
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Quantitative error analysis of polarimetric phased-array radar weather measurements to reveal radar performance and configuration potential by J. Ho, J. Ho, Z. Li, G. Zhang, G. Zhang

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Quantitative Determination of Germinability of Puccinia striiformis f. sp. tritici Urediospores Using Near Infrared Spectroscopy Technology by Yaqiong Zhao, Feng Qin, Pei Cheng, Xiaolong Li, Zhanhong Ma, Longlian Zhao, Junhui Li, Haiguang Wang

“…Stripe rust caused by Puccinia striiformis f. sp. tritici (Pst) is an important disease on wheat. In this study, quantitative determination of germinability of Pst urediospores was investigated by using near infrared reflectance spectroscopy (NIRS) combined with quantitative partial least squares (QPLS) and support vector regression (SVR). …”
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Global sensitivity analysis and uncertainty quantification for a mathematical model of dry anaerobic digestion in plug-flow reactors by Daniele Bernardo Panaro, Andrea Trucchia, Vincenzo Luongo, Maria Rosaria Mattei, Luigi Frunzo

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Kinematic characteristics in patients with subcortical vascular cognitive impairment: a quantitative analysis of digitized spiral drawing metrics by Hyo Jeong Kim, Hyemin Jang, Hee Jin Kim, Duk L. Na, Ji Hye Yoon

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Diabetic Retinopathy Detection Using Local Extrema Quantized Haralick Features with Long Short-Term Memory Network by Abubakar M. Ashir, Salisu Ibrahim, Mohammed Abdulghani, Abdullahi Abdu Ibrahim, Mohammed S. Anwar

“…The proposed approach utilizes the feature extracted from the fundus image using a local extrema information with quantized Haralick features. The quantized features encode not only the textural Haralick features but also exploit the multiresolution information of numerous symptoms in diabetic retinopathy. …”
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Quantitative 3-D investigation of faulting in deep mining using Mohr–Coulomb criterion and slip weakening law by Yatao Li, Xuehong Gao, Jianwei Yang, Erhu Bai

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Multiomic quantification of the KRAS mutation dosage improves the preoperative prediction of survival and recurrence in patients with pancreatic ductal adenocarcinoma by Won-Gun Yun, Daeun Kim, Youngmin Han, Wooil Kwon, Seong-Geun Lee, Jin-Young Jang, Daechan Park

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Automated image-based identification and consistent classification of fire patterns with quantitative shape analysis and spatial location identification by Pengkun Liu, Shuna Ni, Stoliarov Stanislav I, Pingbo Tang

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Comparing social stigma of anorexia nervosa, bulimia nervosa, and binge-eating disorder: A quantitative experimental study by Carlye S. Aird, Bennett A. A. Reisinger, Stephanie N. Webb, David H. Gleaves

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Improved Method for the Detection and Quantification of Naegleria fowleri in Water and Sediment Using Immunomagnetic Separation and Real-Time PCR by Bonnie J. Mull, Jothikumar Narayanan, Vincent R. Hill

“…In 2010, the first confirmed case of PAM acquired in Minnesota highlighted the need for improved detection and quantification methods in order to study the changing ecology of N. fowleri and to evaluate potential risk factors for increased exposure. …”
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TMT-based quantitative proteomics reveals the genetic mechanisms of secondary hair follicle development in fine-wool sheep. by Li-Xia Qiu, Qian Yu, Hua-Qian Zhou, Wen-Hua Fan, Jing-Jing Zheng, Yong-Lin Yang, Wen-Zhe Zhang, Xin Cao, Hua Yang

“…In this study, the histomorphology of secondary hair follicles was analyzed over four stages of fetal development (75, 85, 95, and 105 gestational days). TMT-based quantitative proteomics was used to compare the differential protein profiles of skin tissues between consecutive developmental periods (75 versus 85, 85 versus 95, and 95 versus 105 gestational days). …”
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Quantitative Structure–Property Relationship Modeling with the Prediction of Physicochemical Properties of Some Novel Duchenne Muscular Dystrophy Drugs by Jyothish K, Roy Santiago

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Quantitative integrative taxonomy informs species delimitation in Teloschistaceae (lichenized Ascomycota): the genus Wetmoreana as a case study by Karina Wilk, Robert Lücking

“…Abstract The genus Wetmoreana was studied using quantitative integrative taxonomy methods to resolve the genus delimitation and explore its taxonomy diversity at the species level. …”
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Quantitative analysis of the effect of microtubule-targeting drugs on the microtubule cytoskeleton of breast cancer cells with different invasive properties by Michallet, Sophie, Bosc, Lauriane, Lafanechère, Laurence

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