A Preferable Approach for the Quality Control of Xiaoer Chiqiao Qingre Granules Based on the Combination of Chromatographic Fingerprints and Chemometrics by Tong Xu, Xiaoqi Li, Mengmeng Huang, Qi Wang, Chao Li, Gang Tian, Yan Chen

“…Chemometrics including hierarchical cluster analysis (HCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were performed to evaluate the homogeneity and heterogeneity of sixteen batches of XCQG. …”
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Latent space improved masked reconstruction model for human skeleton-based action recognition by Enqing Chen, Xueting Wang, Xin Guo, Ying Zhu, Dong Li

“…These help the encoder learn deeper data structures and more discriminative and generalized feature representations. …”
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UPLC-Q-TOF/MS-based metabolomics reveals modulatory effects of Mesona chinensis Benth polysaccharide in liver injury mice induced by cyclophosphamide by Yuzhen Hong, Mingyue Shen, Qiang Yu, Yi Chen, Jianhua Xie

“…The principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) scores plots of the liver and feces samples showed a clear separation among normal, model and high-dose of MP (MPH). …”
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Sculpting Leadership on Employees’ Craft: The Conceptual Framework and Measure of Crafting Leadership by Ferdinando Paolo Santarpia, Laura Borgogni, Giulia Cantonetti, Sara Brecciaroli

“…In Study 1 (N = 2137) and Study 2 (N = 1507), the questionnaire was tested for factor structure, reliability, discriminant, and predictive validity. The results supported a higher-order structure of crafting leadership, underlying three distinct behavioral facets: tailoring, person–organization alignment, and catalyst. …”
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Genomic and algorithm-based predictive risk assessment models for benzene exposure by Minyun Jiang, Minyun Jiang, Na Cai, Na Cai, Juan Hu, Lei Han, Lei Han, Fanwei Xu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Boshen Wang

“…Validation confirmed substantial changes in NFKB1 and PTX3 following exposure, with PTX3 emerging as paramount, suggesting its utility as a diagnostic biomarker for benzene damage.ConclusionRisk assessment models, informed by oxidative stress markers, successfully discriminated between benzene-injured patients and controls.…”
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The Chromatin Pattern of Cell Nuclei Is of Prognostic Value for Renal Cell Carcinomas by Christine François, Myriam Remmelink, Michel Petein, Roland van Velthoven, André Danguy, Eric Wespes, Isabelle Salmon, Robert Kiss, Christine Decaestecker

“…The actual prognostic values of this set of cytometric variables was compared (by means of discriminant statistical analysis) to conventional diagnostic and/or prognostic markers including histopathological grades, tumour invasion levels and the presence or absence of metastases. …”
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Using Gap Visualization to Navigate Multivariate Metabarcode Data, Select Primer Pairs, and Enhance Reference Data Quality by Xin‐Yi Chua, Louise Ord, Stephen J. Bent, David Lovell, Annette McGrath

“…We demonstrate how to use gap visualization and taxonomic segmentation in comparing how well different primer pairs discriminate species of interest, and in detecting anomalies in reference sequence annotation. …”
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Inter- and intra-varietal clonal differences influence the aroma compound profiles of wines analyzed by GC–MS and GC-IMS by Huawei Chen, Shijian Bai, Bowei Yang, Ruihua Ren, Zizhu Tang, Zhenwen Zhang, Qingqing Zeng

“…Partial least squares discriminant analysis (PLS-DA) identified decanoic acid, 1-heptanol, diethyl succinate, ethyl octanoate, and octanal as key biomarkers for distinguishing 22 clones of wines. …”
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A Pervasive Approach to EEG-Based Depression Detection by Hanshu Cai, Jiashuo Han, Yunfei Chen, Xiaocong Sha, Ziyang Wang, Bin Hu, Jing Yang, Lei Feng, Zhijie Ding, Yiqiang Chen, Jürg Gutknecht

“…The result also suggested that the absolute power of the theta wave might be a valid characteristic for discriminating depression. This study proves the feasibility of a pervasive three-electrode EEG acquisition system for depression diagnosis.…”
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Fine-Grained Classification via Hierarchical Feature Covariance Attention Module by Yerim Jung, Nur Suriza Syazwany, Sujeong Kim, Sang-Chul Lee

“…In the deep convolutional neural network, the covariance between feature maps positively affects the selection of features to learn discriminative regions automatically. In this study, we propose a method for a fine-grained classification model by inserting an attention module that uses covariance characteristics. …”
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Maternal Serum Nitric Oxide Levels in Adolescent Pregnancies by Hasan Onur Topçu, Ali İrfan Güzel, Kuntay Kokanalı, Sabri Cavkaytar, Dilek Uygur, Salim Erkaya

“…MSNO levels may be a discriminative marker in adolescent age pregnancies but further studies with larger participants are needed to get more definite results. …”
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Daily Performance of Adolescents with Executive Function Deficits: An Empirical Study Using a Complex-Cooking Task by Yael Fogel, Sara Rosenblum, Renana Hirsh, Mathilde Chevignard, Naomi Josman

“…Significant correlations were found among children with executive function deficit profiles between the CCT performance duration and total number of errors and the BRIEF-SR subscale score. Two separate discriminant function analyses described primarily by the CCT correctly classified the study groups. …”
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Topological Properties of Large-Scale Cortical Networks Based on Multiple Morphological Features in Amnestic Mild Cognitive Impairment by Qiongling Li, Xinwei Li, Xuetong Wang, Yuxia Li, Kuncheng Li, Yang Yu, Changhao Yin, Shuyu Li, Ying Han

“…., sulcal depth) can be used to construct network to discriminate individuals with aMCI from controls besides volumetric measures.…”
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IgD Multiple Myeloma Paraproteinemia as a Cause of Myositis by I. Colombo, M. E. Fruguglietti, L. Napoli, M. Sciacco, E. Tagliaferri, A. Della Volpe, V. Crugnola, N. Bresolin, M. Moggio, A. Prelle

“…He underwent both muscle and peripheral nerve biopsy to discriminate between myositis (paraproteinemia versus GVHD), amyloidosis, and thalidomide toxicity. …”
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A new classification algorithm for low concentration slurry based on machine vision by Chuanzhen Wang, Xinyi Wang, Andile Khumalo, Fengcheng Jiang, Jintao Lv

“…DCGAN was employed for image generation, achieving favorable outcomes with generator learning rate set at 5 × 10− 5, discriminator at 1 × 10− 6, and iteration number at 2000. …”
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Biomarker‐induced gold aggregates enable activatable near‐infrared‐II photoacoustic image‐guided radiosensitization by Qinrui Fu, Chuang Wei, Xiao Yang, Mengzhen Wang, Jibin Song

“…Abstract Current radiotherapy (RT) lacks the ability to accurately discriminate between tumor and healthy tissues, resulting in significant radiation‐induced damage for patients. …”
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Participation in Decision Making as a Property of Complex Adaptive Systems: Developing and Testing a Measure by Ruth A. Anderson, Donde Plowman, Kirsten Corazzini, Pi-Ching Hsieh, Hui Fang Su, Lawrence R. Landerman, Reuben R. McDaniel

“…We established validity of the multidimensional properties using convergent and discriminant validity and confirmatory factor analysis. …”
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External validation of a multivariable prediction model for positive resection margins in breast-conserving surgery by Irina Palimaru Manhoobi, Julia Ellbrant, Pär-Ola Bendahl, Søren Redsted, Anne Bodilsen, Trine Tramm, Peer Christiansen, Lisa Rydén

“…Results The AUC of the model was 0.60 (95% CI: 0.50–0.70) indicating a lower discriminative capacity in the external cohort. We found weak evidence for an association between increased preoperative breast density on mammography and positive resection margins after BCS (p = 0.027), but the AUC of the model did not improve, when mammographic breast density was included as an additional variable in the model.…”
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Comparing Sensitivity and Specificity of Addenbrooke’s Cognitive Examination-I, III and Mini-Addenbrooke’s Cognitive Examination in Parkinson’s Disease by Tivadar Lucza, Zsuzsanna Ascherman, Márton Kovács, Attila Makkos, Márk Harmat, Annamária Juhász, József Janszky, Sámuel Komoly, Norbert Kovács, Krisztina Dorn, Kázmér Karádi

“…For subjects with education level 0–8 and 9–12 years, the ACE-III had the best discriminating capabilities for mild NCD (cut-off scores: 83.5 and 85.5 points, respectively), while Mini-ACE was the best for subjects having education > 12 years (cut-off score: 25.5 points). …”
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A cycle-based model to predict no usable blastocyst formation following cycles of in vitro fertilization in patients with normal ovarian reserve by Xue Wang, Chen-yue Dong, Cui-lian Zhang, Shao-di Zhang

“…A nomogram model was developed and internally validated using bootstrapping, demonstrating good discriminative ability with an area under the receiver operating characteristic curve (AUC) of 0.879(95%CI: 0.861–0.890). …”
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