Quantization of a 3D Nonstationary Harmonic plus an Inverse Harmonic Potential System by Salim Medjber, Hacene Bekkar, Salah Menouar, Jeong Ryeol Choi

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A machine learning based algorithm accurately stages liver disease by quantification of arteries by Zhengxin Li, Xin Sun, Zhimin Zhao, Qiang Yang, Yayun Ren, Xiao Teng, Dean C. S. Tai, Ian R. Wanless, Jörn M. Schattenberg, Chenghai Liu

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Qualitative and Quantitative Characterization of Monosaccharide Components of Salvia miltiorrhiza, Liguspyragine Hydrochloride, and Glucose Injection by Fa-huan Ge, Xian-peng Ma, Jin-fang Ma, Chang-qiong Bi, Tian-ling Chen, Xiang-dong Zhang, Xue Xiao

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Optimal Design of Turnover Mechanism for Beakers Subassembly in Blended Fabric Quantitative Detecting System by Zhou Mingxing, Meng Zhuo, Sun Xudong

“…According to the functional requirement of beakers subassembly in blended fabric quantitative detecting system,a planar six-bar mechanism composed by two oscillating guide bar mechanisms is selected for achieving flip function. …”
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Collagen fibers quantification for liver fibrosis assessment using linear dichroism photoacoustic microscopy by Yang Qiu, Honghui Li, Kun Yu, Jiali Chen, Li Qi, Yinghua Zhao, Liming Nie

“…For validation purposes, collagen fibers were visualized with Sirius-red staining and quantitatively assessed through the collagen proportional area (CPA) score. …”
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Polarity-JaM: an image analysis toolbox for cell polarity, junction and morphology quantification by Wolfgang Giese, Jan Philipp Albrecht, Olya Oppenheim, Emir Bora Akmeriç, Julia Kraxner, Deborah Schmidt, Kyle Harrington, Holger Gerhardt

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Technology for the Quantitative Identification of Dairy Products Based on Raman Spectroscopy, Chemometrics, and Machine Learning by Zheng-Yong Zhang, Jian-Sheng Su, Huan-Ming Xiong

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An Experimental Study for Quantitative Estimation of Rebar Corrosion in Concrete Using Ground Penetrating Radar by Md Istiaque Hasan, Nur Yazdani

“…It was proposed that the relationship between the GPR maximum amplitude and the amount of corrosion can be used as a basis of a NDE technique of quantitative estimation of corrosion.…”
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A Quantitative Study on Dream of the Red Chamber: Word-Length Distribution and Authorship Attribution by Yue Yu, Wei Liu, Ying Feng

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Quantitative evidence for dimorphism suggests sexual selection in the maxillary caniniform process of Placerias hesternus. by James L Pinto, Charles R Marshall, Sterling J Nesbitt, Daniel Varajão de Latorre

“…This process has been hypothesized to be sexually dimorphic since the 1950s, however this claim has not been thoroughly investigated quantitatively. Here, we examined maxillae, premaxillae, quadrates, and fibulae from a single population from the Placerias Quarry in the Blue Mesa Member of the Chinle Formation, near St. …”
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Automated Particle Shape Identification and Quantification for DEM Simulation of Rockfill Materials in Subgrade Construction by Hao Bai, Xiangyu Hu, Ruidong Li, Fei Chen, Zhiyong Liao

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Qualitative and quantitative HPLC-ELSD-ESI-MS analysis of steroidal saponins in fenugreek seed by Król-Kogus Barbara, Głód Daniel, Krauze-Baranowska Mirosława

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Evaluation of e-Lung automated quantitative computed tomography biomarkers in idiopathic pulmonary fibrosis by Peter M. George, Christian Rennison-Jones, Giacomo Benvenuti, Aliki Sifostratoudaki, Finja A. Ottink, Wassim Bou-Zeid, Roberta E. Ledda, Roqia F. Abul Kadir, Bushra Johari, Claire Fernandez, George W.J. Harston, Olivier Joly, Stephen Gerry, Anand Devaraj

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Quantitative Assessment of Optimal Bone Marrow Site for the Isolation of Porcine Mesenchymal Stem Cells by J. S. McDaniel, B. Antebi, M. Pilia, B. J. Hurtgen, S. Belenkiy, C. Necsoiu, L. C. Cancio, C. R. Rathbone, A. I. Batchinsky

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Tumor mutational burden quantification from targeted gene panels: major advancements and challenges by Sara Gandini, Laura Fancello, Pier Giuseppe Pelicci, Luca Mazzarella

“…Tumor mutational burden (TMB), the total number of somatic coding mutations in a tumor, is emerging as a promising biomarker for immunotherapy response in cancer patients. TMB can be quantitated by a number of NGS-based sequencing technologies. …”
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Corrigendum to “Background Radiance Estimation for Gas Plume Quantification for Airborne Hyperspectral Thermal Imaging” by Ramzi Idoughi, Thomas H. G. Vidal, Pierre-Yves Foucher, Marc-André Gagnon, Xavier Briottet

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Influencing factors and quantitative prediction of gas content of deep marine shale in Luzhou block by Xinyang He, Kun Zhang, Shu Jiang, Zhenxue Jiang, Xueying Wang, Wei Jiang, Jing Li, Yijia Wu, Zhi Gao, Tian Tang, Cheng Yang, Xuejiao Yuan, Fengli Han, Zeyun Wang, Laiting Ye

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ML-Based Quantitative Analysis of Linguistic and Speech Features Relevant in Predicting Alzheimer’s Disease by Tripti Tripathi, Rakesh Kumar

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iTRAQ-based quantitative proteomic analysis of herbicide stress in Avena ludoviciana Durieu by Hossein Adim, Leila Fahmideh, Barat Ali Fakheri, Hamid Najafi Zarrini, Hamidreza Sasanfar

“…This study aimed to identify the proteins involved in herbicide resistance in A. ludoviciana using the Isobaric Tags for Relative and Absolute Quantification (iTRAQ) technique. In this study, a total of 18,313 peptides were identified with ≤ 0.01 FDR, which could be classified into 484 protein groups. …”
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Quantitative Identification of the Water Resistance Capacity of Composite Strata in Mining Coal Seam Floors by Xinyi Wang, Fang Li, Qi Wang, Bo Chen, Yu Zou, Bo Zhang

“…The water resistance of the J16-17 coal seam floor composite rock in the study area was quantitatively evaluated using the fuzzy variable set mathematical model and was divided into five grades: extremely weak, weak, medium, strong, and very strong. …”
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