A Deep Learning-Based Solution to the Class Imbalance Problem in High-Resolution Land Cover Classification by Pengdi Chen, Yong Liu, Yuanrui Ren, Baoan Zhang, Yuan Zhao

“…Additionally, we introduce a synthetic loss function that combines cross-entropy loss, Dice loss, and auxiliary loss to improve optimization stability. To quantitatively assess multi-class imbalance, we introduce the coefficient of variation (CV) as a novel evaluation metric. …”
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White matter lesions and DTI metrics related to various types of dysfunction in cerebral palsy: A meta-analysis and systematic review. by Yu Jiang, Gang Liu, Bowen Deng, Xiaoye Li, Jingpei Ren, Yi Zhao, Chuanyu Hu, Lin Xu, Feng Gao, Xiaohong Mu

“…<h4>Methods</h4>We conducted a literature search of PubMed, Embase, Cochrane Library and Web of Science databases to identify trials published that had evaluated the correlation between DTI metrics in sensorimotor pathways and function scores in cerebral palsy. Correlation coefficient (r) values were extracted for each study, and the extent of r was quantitatively explored. …”
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Artificial neural network and response surface method-based optimization of unsteady natural convective heat transfer of Fe3O4-Engine Oil nanofluid in a trapezoidal enclosure by Umme Salma, Md. Shariful Alam, S. M. Chapal Hossain, Md. Nurul Huda, Tarikul Islam

“…Several statistical indices, including the coefficient of determination (R²), mean squared error (MSE), margin of deviation (MOD), and root mean squared error (RMSE), are used to quantitatively calculate the quality of the RSM and ANN models. …”
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Three dimensional reconstruction to visualize atrial fibrillation activation patterns on curved atrial geometry. by Ricardo Abad, Orvil Collart, Prasanth Ganesan, A J Rogers, Mahmood I Alhusseini, Miguel Rodrigo, Sanjiv M Narayan, Wouter-Jan Rappel

“…There was no difference in the location of phase singularities, between 3D curved surfaces and 2D unfolded surfaces, with a median correlation coefficient between phase singularity density maps of 0.985 (0.978-0.990). …”
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The Prediction of the Valve Opening Required for Slugging Control in Offshore Pipeline Risers Based on Empirical Closures and Valve Characteristics by Jiqiang Fu, Quanhong Wu, Jie Sun, Hanxuan Wang, Suifeng Zou

“…The target of control is to achieve dual-frequency fluctuation, and it is quantitatively converted to the pressure drop of the valve. …”
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Spatial mismatch and drivers of carbon sequestration services supply-demand in China by Qi Pang, Jie Xu, Ying Zhou, Meixin He

“…Using the Carnegie-Ames Stanford Approach (CASA) model and the carbon emission coefficient method, the supply and demand of carbon sequestration services from 2000 to 2020 were quantitatively assessed. …”
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Investigation on the Electron Emission Regularity of Sputtered Boron Nitride Thin Films and Microstructured Array Surfaces by Yuqing Gu, Juannan Li, Dan Wang

“…By employing the electron trajectory tracking algorithm and the phenomenological model of electron emission, the effect of microstructure on EEC for BN bulk was quantitatively explained. The results of the study are of engineering application significance for vacuum devices involving the electron emission process of BN ceramic.…”
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Cross-cultural adaptation of the 5-Question Stigma Indicators in trachoma-affected communities, Ethiopia. by Misrak Negash, Zerihun Tadesse, Fentie Ambaw, Michael Beka, Tilahun Belete, Melkamu Abte, Kebede Deribe, Julian Eaton, Eve Byrd, E Kelly Callahan, David Addiss, Wim H van Brakel, Abebaw Fekadu, David Macleod, Matthew Burton, Esmael Habtamu

“…Conceptual, item, semantic, and operational equivalence were assessed through exploratory qualitative methods; measurement equivalence was assessed quantitatively through internal consistency, construct validity, and reproducibility. …”
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Simultaneous determination of nineteen azo dyes in water samples by gas chromatography-mass spectrometry after Fe3O4@COF based dispersive solid phase extraction by Nazime Ebrar Karlıdağ, Sezin Erarpat Bodur, Ömer Tahir Günkara, Sezgin Bakırdere

“…Under the optimum Fe3O4@COF-DSPE-GC-MS conditions, limit of detection (LOD), limit of quantitation (LOQ), linear range (LR), coefficient of determination (R2) and percent relative standard deviation (%RSD) were calculated using external calibration plots belonging to each analyte. …”
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Establishment and application of a method for determination of trace volatile aroma components in sauce-flavor Baijiu by WANG Jinlong, ZHU Xiaochun, YOU Xiaolong, TIAN Dongwei, LU Lunwei, HU Jianfeng

“…Under these conditions, 59 trace volatile aroma components in sauce-flavor Baijiu could be qualitatively and quantitatively determined effectively, and each component showed a good linear relationship within the detection range. …”
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A User-Friendly Machine Learning Pipeline for Automated Leaf Segmentation in by Michelle Lynn Yung, Kamila Murawska-Wlodarczyk, Alicja Babst-Kostecka, Raina Margaret Maier, Nirav Merchant, Aikseng Ooi

“…The pipeline integrates a fine-tuned Mask Region-based Convolutional Neural Network (Mask R-CNN) segmentation model trained on 176 plant images and achieves high performance despite the small training data set (Dice coefficient = 0.781). We quantitatively compare the fine-tuned Mask R-CNN model to Meta AI’s Segment Anything Model (SAM) and evaluate natural language prompts using Grounded SAM and the Leaf-Only SAM post-processing pipeline for refining segmentation outputs. …”
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Application of NIR Spectral Standardization Based on Principal Component Score Evaluation in Wheat Flour Crude Protein Model Sharing by Jing Tian, Xinyu Chen, Zhennan Liang, Wenliang Qi, Xiaohuan Zheng, Daoli Lu, Bin Chen

“…Spectral standardization error rate (SSER), principal component score error rate (PCSER), and other indicators were employed to analyze the spectral differences between the master and the target spectra, and the effect of model sharing was evaluated using parameters including prediction correlation coefficient (Rp), root mean square error of prediction (RMSEP), and relative prediction deviation (RPD). …”
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Repeatability and reproducibility of eight macular intra-retinal layer thicknesses determined by an automated segmentation algorithm using two SD-OCT instruments. by Xinting Liu, Meixiao Shen, Shenghai Huang, Lin Leng, Dexi Zhu, Fan Lu

“…The intraclass correlation coefficient (ICC) and coefficients of repeatability and reproducibility (COR) were analyzed to evaluate the reliability.…”
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Spatial Heterogeneity of Drop Size Distribution and Its Implications for the Z-R Relationship in Mexico City by Roberta Karinne Mocva-Kurek, Adrián Pedrozo-Acuña, Miguel Angel Rico-Ramírez

“…The evaluation of raindrop size distribution (DSD) is a crucial subject in radar meteorology, as it determines the relationship between radar reflectivity (Z) and rainfall rate (R). The coefficients (a and b) of the Z-R relationship vary significantly due to several factors (e.g., climate and rainfall intensity), rendering the characterization of local DSD essential for improving radar quantitative precipitation estimation. …”
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A Regret-Enhanced DEA Approach to Mapping Renewable Energy Efficiency in Asia’s Growth Economies by Chia-Nan Wang, Nhat-Luong Nhieu, Yu-Cin Ye

“…This study introduces a rejoice–regret utility cross-efficiency DEA (RRUCE-DEA) framework that fuses conventional quantitative efficiency measurement with the behavioral insights of regret theory. …”
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Coherence of brain electrical activity: a quality of life indicator in Alzheimer’s disease?Coerência da atividade elétrica cerebral: indicador da qualidade de vida na doença de Alz... by Lineu Corrêa Fonseca, Gloria M. A. S. Tedrus, Ana Laura R. A. Rezende, Heitor F. Giordano

“…Multiple linear regression for QOL of AD patients revealed that global interhemispheric theta coherence, and Hamilton depression scores were significant factors (coefficients; 58.2 and -0.27, respectively; R2, 0.377). …”
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Dynamic modelling under uncertainty: the case of Trypanosoma brucei energy metabolism. by Fiona Achcar, Eduard J Kerkhoven, SilicoTryp Consortium, Barbara M Bakker, Michael P Barrett, Rainer Breitling

“…The model of glycolysis in the parasitic protozoan Trypanosoma brucei is a particularly well analysed example of a quantitative metabolic model, but so far it has been studied with a fixed set of parameters only. …”
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Design and Validation of the Gender-Based Violence Stereotypical Beliefs Scale by Enrique Bonilla-Algovia, Andreea Gabriela Pana, Concepción Carrasco Carpio

“…This study is based on a quantitative methodology and a cross-sectional design. …”
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Extending Local Canonical Correlation Analysis to Handle General Linear Contrasts for fMRI Data by Mingwu Jin, Rajesh Nandy, Tim Curran, Dietmar Cordes

“…The quantitative results from simulated and pseudoreal data and activation maps from fMRI data were used to demonstrate the advantage of this novel test statistic.…”
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Accessibility parameters of psychological assistance for children and their parents (according to the activity of the children’s helpline) by O. V. Kuchmaeva, L. A. Davletshina

“…The service availability coefficients were grouped.…”
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