Uncovering Diagnostic Correlations Between Traditional Chinese and Western Medicine Using Instrumental Variable Models in Cardiometabolic Patients: Evidence from 1.2 Million Record... by Zhou J, Zhou S, Chen H, Chen X, Zou G, Gao Y, Jing S, Bishai DM, Li J, Zhong A, Liu Z, Liu A

“…Notably, diabetes mellitus was strongly associated with syndrome/pattern of qi and yin deficiency (coefficient = 2.711); cerebrovascular diseases showed strong associations with syndrome/pattern of qi deficiency with blood stasis (coefficient = 2.433) and syndrome/pattern of wind and phlegm blocking collaterals (coefficient = 3.176). …”
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RNA Amplification Results in Reproducible Microarray Data with Slight Ratio Bias by László G. Puskás, Ágnes Zvara, László Hackler, Paul Van Hummelen

“…However, when comparing the amplification methods to standard labeling, correlation coefficients were lower. Twelve genes that exhibited inconsistent or contradictory expression ratios among the three methods were verified by quantitative RT-PCR. …”
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Social capital as a determinant of quality of life in greek cancer patients: a cross-sectional study by Athanasios Pitis, Maria Diamantopoulou, Aspasia Panagiotou, Dimitrios Papageorgiou, Foteini Tzavella

“…The Kolmogorov–Smirnov test was used for checking the normality distribution of the quantitative variables. Quantitative variables were expressed as mean values (Standard Deviation) and as median (interquartile range), while categorical variables were expressed as absolute and relative frequencies. …”
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Assessing SME credit rating in supply chain finance with multi-phase QFD-based MULTIMOORA under uncertainty by Hui Gao, Hui Zhang, Peide Liu

“…First, the quantitative values were converted into IT2FSs using the developed formulas. …”
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Integrating Backscattered Electron Imaging and Multi-Feature-Weighted Clustering for Quantification of Hydrated C₃S Microstructure by Xin Wang, Yongjun Luo

“…The microstructure of cement paste is governed by the hydration of its major component, tricalcium silicate (C₃S). Quantitative analysis of C₃S microstructural images is critical for elucidating the microstructure-property correlation in cementitious systems. …”
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Determination of 6 quinolones drug residues in milk by Ostro orifice plate combined with UPLC-MS/MS by WANG Yanpeng, ZHANG Biao, LI Peng, QIU Jianfei

“…The milk samples were extracted with 0.2% formic acid-acetonitrile, purified by Ostro sample preparation plate, separated by C₁₈ column, gradient elution was performed with 5 mmol/L ammonium formate (containing 0.1% formic acid)-acetonitrile, collected with multiple reaction monitoring (MRM) mode under electron spray ionization (ESI⁺) mode, and quantitative by internal standard method. The results showed that the 6 quinolones drug had good linearity in the mass concentration range of 5-200 ng/ml, and the correlation coefficients (R) were all greater than 0.999. …”
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Comparison Theorems for the Multidimensional BDSDEs and Applications by Bo Zhu, Baoyan Han

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Gearbox Fault Diagnosis based on LMD Approximate Entropy and PSO-ELM by Zhang Yuxue, Pan Hongxia

“…For the detection and identification problems of common faults in the use of gearbox,considering the nonlinear,non-stationary properties of the gearbox vibration response signal,a method for the gearbox fault diagnosis based on local mean decomposition（ LMD） approximate entropy and PSO-ELM is proposed.Firstly,the LMD decomposition method is used for gearbox vibration signal,with correlation coefficient method extracted the first four PF components which contain the main fault information. …”
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Soil moisture characteristics of four artificial plant communities in aerial seeding afforestation area and their response to different levels of rainfall by Tiejun Zhang, Tiejun Zhang, Yanping Liu, Yanping Liu, Jianying Guo, Jianying Guo, Guodong Tang, Guodong Tang, Zhenqi Yang, Zhenqi Yang

“…Studying the characteristics of soil moisture in afforestation area and its response to different grades of rainfall is helpful to quantitatively analyze the change law of soil moisture in afforestation area and provide theoretical basis for rational and efficient use of soil moisture. …”
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Determination of Total Flavonoids Contents and Antioxidant Activity of Ginkgo biloba Leaf by Near-Infrared Reflectance Method by Ling-jia Zhao, Wei Liu, Su-hui Xiong, Jie Tang, Zhao-huan Lou, Ming-xia Xie, Bo-hou Xia, Li-mei Lin, Duan-fang Liao

“…Near-infrared spectroscopy (NIR) method has showed its advantages in fast, accurate, qualitative, and quantitative analysis of various components in many quality control researches. …”
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The Influences of Meteorological Factors on Mapping Forest Stock Volume With Sentinel-1 Images by Xunwei Li, Jiangping Long, Hui Lin, Tingchen Zhang, Huanna Zheng

“…The results revealed a strong correlation (ranging from 0.56 to 0.65) between four meteorological factors (GST, GST005, TMP, and SHU) and the backscattering coefficient. Among the 30 images analyzed in this article, the coefficient of determination (<italic>R</italic>²) for mapping FSV ranged between 0.03 and 0.34 due to variations in feature sensitivity. …”
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Trading Community Analysis of Countries’ Roll-On/Roll-Off Shipping Networks Using Fine-Grained Vessel Trajectory Data by Shichen Huang, Tengda Sun, Jing Shi, Piqiang Gong, Xue Yang, Jun Zheng, Huanshuai Zhuang, Qi Ouyang

“…We construct a method based on the complex network theory and the graph feature extraction method to quantitatively assess the features of the RO/RO shipping network. …”
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Application of Machine Learning to Statistical Evaluation of Artificial Rainfall Enhancement by Li Dan, Lin Wen, Liu Qun, Feng Hongfang, Hu Shuping, Wang Zhihai

“…The performance of the model established by CNN method is relatively optimal, with determination coefficient R2 up to 0.658 and RMSE only 0.2 mm1/2, followed by SVM statistical model based on sixth-order root square transform data, with R2 being 0.41 and RMSE being 0.203 mm1/2. …”
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Transition to emergency distance learning amid COVID-19 pandemic through the lens of students’ subjective experience of the transformation of university learning environment by E. I. Kazakova, I. E. Kondrakova, Yu. L. Proekt

“…The survey results were analysed qualitatively and quantitatively using the Cronbach Alpha coefficient, the Spearman’s rank correlation coefficient, and the Pearson’s chi-squared test. …”
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Combining the SHAP Method and Machine Learning Algorithm for Desert Type Extraction and Change Analysis on the Qinghai–Tibetan Plateau by Ruijie Lu, Shulin Liu, Hanchen Duan, Wenping Kang, Ying Zhi

“…Finally, the independent and interactive effects of each factor on desert change on the Qinghai-Tibetan Plateau during the study period are quantitatively analyzed via geodetector. The main results are as follows: (1) Compared with other classification algorithms (GTB, CART, KNN, and SVM), the RF classifier achieves the best performance in classifying QTP desert types, with an overall accuracy (OA) of 87.11% and a kappa coefficient of 0.83. (2) From the perspective of the overall classification of deserts, the five features, namely, elevation, slope, VV, VH, and GLCM, contribute most significantly to the features. …”
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Analysis of farm performance to realize the sustainability of organic cabbage vegetable farming in Getasan Semarang, Indonesia by Winahyu Wulansari, Rahayu Endang Siti, Darwanto Dwidjono Hadi, Harisudin Mohamad

“…Descriptive quantitative analysis was performed with PLS-SEM software. …”
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Construction of a model for the rapid detection of acids in strong-flavor original Baijiu based on mid-infrared spectroscopy technology by PENG Houbo, LIAO Li, GAN Qiao, XU Jia, JING Xiong, QIAN Yu, ZOU Yongfang

“…The results showed that the coefficients of determination R² of the quantitative models for total acid, caproic acid, acetic acid and butyric acid were more than 0.90, the root-mean-square error (RMSE) of both the calibration set and the prediction set was less than 0.041 g/L, the optimal numbers of principal component were 9, 19, 8 and 9, respectively, and the relative errors of the quantitative models were less than 10% for total acid, caproic acid and acetic acid and less than 51% for butyric acid. …”
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Development and validation of a GC-ECD method for pesticide residue detection in flour by Margarita Timofejeva, Anita Najdenkoska, Biljana Bauer

“…This study aimed to optimize and validate a rapid, reliable and accurate method for quantitative determination of pesticide residues in flour matrix. …”
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Modeling Estuarine Algal Bloom Dynamics with Satellite Data and Spectral Index-Based Classification by Mayya Podsosonnaya, Maria J. Schreider, Sergei Schreider

“…The resulting model can be used to estimate probability of macroalgal blooms in coastal estuaries, allowing quantitative monitoring through time and space.…”
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Recession farming practices and their linkage to hydroclimatic risks in Kilombero Valley by Neshafati Fwaya, Yonika M. Ngaga, Mariele Evers, Makarius C. S. Lalika, Kristian Näschen

“…Hydrological data were obtained from the Rufiji Basin Water Board. The quantitative data were analyzed statistically using means, standard deviations, coefficients of variation, frequencies, percentages, and the seasonal Mann–Kendall (MK) statistical test. …”
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