Assessing Magnetic Susceptibility Profiles of Topsoils under Different Occupations by N. Bouhsane, S. Bouhlassa

“…The aims of this study were to investigate the impact of land use or human activity on χlf of soil overlying the same substrate, to discriminate allochthonous material or pollution from autochthonous or inherited ones, and to assess the origin and contribution of superparamagnetic (SP) grains to the global magnetic susceptibility χlf. …”
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Brazilian version of the OHIP 14 Periodontal Disease Questionnaire: cross cultural adaptation and validation by Timilly Mayra MARTINS-CRUZ, Kaio Henrique SOARES, Juliana Helena Gomes LEAL, Olga Dumont FLECHA, Dhelfeson Willya DOUGLAS-DE-OLIVEIRA, Patrícia Furtado GONÇALVES

“…The psychometric properties of the Brazilian version were verified using internal consistency (Cronbach’s α) and the reliability through the test-retest method (ICC, intraclass correlation coefficient), convergent validity (Spearman correlation), and discriminant validity (Mann-Whitney test), with p <0.05. …”
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Validation of the factor structure of the Experiences Questionnaire using Exploratory Graph Analysis by Lena Rader, Barbara Drueke, Saskia Doreen Forster, Siegfried Gauggel, Verena Mainz

“…The two dimensions of the EQ-D showed a high internal consistency (DP: ω = 0.74; AS: ω = 0.86) and discriminant validity with the rumination items of the EQ. …”
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Comparative evaluation of multimarker algorithms for early-stage HCC detection in multicenter prospective studies by Jinlin Hou, Thomas Berg, Arndt Vogel, Teerha Piratvisuth, Jörg Trojan, Enrico N. De Toni, Masatoshi Kudo, Katarina Malinowsky, Peter Findeisen, Johannes Kolja Hegel, Wenzel Schöning, Kairat Madin, Konstantin Kroeniger, Henry Lik-Yuen Chan, Ashish Sharma

“…Area under the curve (AUCs) for discriminating between early-stage HCC vs. CLD were 91.4%, 91.4%, and 90.8% for GAAD (Cobas), GALAD (Cobas), and GALAD (μTASWAKO), respectively. …”
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A Predictive Model for Pulmonary Aspergillosis in ICU Patients: A Multicenter Retrospective Cohort Study by Li Y, Ren X, Wang Q, Shen S, Li Y, Qian X, Tang Y, Jia J, Zhang H, Ding J, Song Y, Zhang S, Wang S, Xu Y, Jiang Y, He X, Dai M, Zhong L, Xiong Y, Pan Y, Wang M, Shao H, Cai H, Huang L, Wang H

“…The model demonstrated a superior discriminative ability, with area under the curve (AUC) values of 0.791 and 0.792 in the training and validation cohorts, respectively. …”
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Improving the Extraction Ability of Thermospheric Mass Density Variations From Observational Data by Deep Learning by Wenbo Li, Libo Liu, Yiding Chen, Zhuowei Xiao, Huijun Le, Ruilong Zhang

“…It is demonstrated that the DL model can discriminate the physical processes corresponding to the different space environment indices by simulating Equatorial Mass density Anomaly and geomagnetic storms.…”
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Different Metabolites in the Roots, Seeds, and Leaves of Acanthopanax senticosus and Their Role in Alleviating Oxidative Stress by Jie Su, Qi Wang, Zhifeng Li, Yan Feng, Yan Li, Shinlin Yang, Yulin Feng

“…Two multivariate statistical analysis methods—namely, principal component analysis and partial least square discriminant analysis—were used to distinguish the samples obtained from different parts of the plant. …”
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The Multi-Frequency Decomposition Entropy Learning for Nonlinear fMRI Data Analysis by Di Han, Yuhu Shi, Lei Wang, Yueyang Li, Weiming Zeng

“…In a word, the nonlinear functional connectivity of different frequency groups reflect the differences and commonalities between diseases and reveal possible discriminating biomarkers among mental diseases.…”
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Rib suppression-based radiomics for diagnosis of neonatal respiratory distress syndrome in chest X-rays by Yudong Wang, Zongjin Qu, Zhengjun Dai, Yuhong Li, Yanyan Liu, Wei Wang, Lianxiang Xiao, Yi Zhang

“…Specifically, the Gradient Boosting Machine (GBM) achieved an AUC of 0.781 post-suppression compared to 0.556 pre-suppression. Notably, Linear Discriminant Analysis (LDA) and Logistic Regression (LR) performed particularly well when combining features from both scenarios, achieving AUCs of 0.762 and 0.756. …”
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Large-scale mapping of plastic-mulched land from Sentinel-2 using an index-feature-spatial-attention fused deep learning model by Lizhen Lu, Yunci Xu, Xinyu Huang, Hankui K. Zhang, Yuqi Du

“…We developed a dual-branch Index-Feature-Spatial-Attention fused Deep Learning Model (IFSA_DLM) for effectively acquiring and fusing multi-scale discriminative features and thus for accurately detecting PML. …”
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Deep learning and hyperspectral features for seedling stage identification of barnyard grass in paddy field by Siqiao Tan, Qiang Xie, Wenshuai Zhu, Yangjun Deng, Lei Zhu, Xiaoqiao Yu, Zheming Yuan, Zheming Yuan, Yuan Chen, Yuan Chen

“…The efficacy of DeepBGS was underscored by its unparalleled performance in discriminating barnyard grass from rice during the critical 2-3 leaf stage, achieving a 98.18% accuracy rate. …”
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The Value of a Panel of Autoantibodies for Predicting the Activity of Lupus Nephritis at Time of Renal Biopsy by Gabriella Moroni, Silvana Quaglini, Antonella Radice, Barbara Trezzi, Francesca Raffiotta, Piergiorgio Messa, Renato Alberto Sinico

“…At multivariate analysis, high titers of anti-C1q antibodies or of anti-dsDNA antibodies (P=0.005, OR = 8.67, CI: 2.03–37.3) were the independent predictors that discriminate proliferative from nonproliferative LN. …”
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A One Health approach for the genomic characterization of antibiotic-resistant Campylobacter isolates using Nanopore whole-genome sequencing by Ana Hurtado, Medelin Ocejo, Beatriz Oporto, José Luis Lavín, Ruth Rodríguez, María Ángeles Marcos, Mikel Urrutikoetxea-Gutiérrez, Mikel Urrutikoetxea-Gutiérrez, Miriam Alkorta, Miriam Alkorta, Miriam Alkorta, José María Marimón, José María Marimón

“…In contrast, accessory genome content sometimes discriminated isolates within the same STs and occasionally differentiated isolates from different sources. …”
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Molecular Sex Identification in the Hardy Rubber Tree (Eucommia ulmoides Oliver) via ddRAD Markers by Wencai Wang, Guoqian Yang, Xin Deng, Fengqing Shao, Yongquan Li, Wei Guo, Hong Liang, Xianzhi Zhang

“…In short, this study provides a consistent and reproducible ddRAD marker (MSL4) that is able to discriminate male from female seedlings in E. ulmoides, which will be valuable for rapid breeding practice and better commercial production of this economically important tree.…”
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Cross-Shaped Heat Tensor Network for Morphometric Analysis Using Zebrafish Larvae Feature Keypoints by Xin Chai, Tan Sun, Zhaoxin Li, Yanqi Zhang, Qixin Sun, Ning Zhang, Jing Qiu, Xiujuan Chai

“…However, obtaining discriminative and continuous organ category decision boundaries poses a significant challenge by directly observing zebrafish larvae from the outside. …”
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UV Hyperspectral Imaging and Chemometrics for Honeydew Detection: Enhancing Cotton Fiber Quality by Mohammad Al Ktash, Mona Knoblich, Frank Wackenhut, Marc Brecht

“…Principal component analysis (PCA) and quadratic discriminant analysis (QDA) effectively differentiated and classified samples based on honey spraying times. …”
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Mapping hierarchical wetland characteristics by optical-SAR integration with collaborative spatial-spectral-temporal learning by Linwei Yue, Meiyue Wang, Chengpeng Huang, Qing Cheng, Qiangqiang Yuan, Huanfeng Shen

“…It remains a challenge to fuse the inherent characteristics of optical and SAR data by exploiting their discriminative feature representations for delineating wetland landscapes. …”
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Detecting the Early Stage of Phaeosphaeria Leaf Spot Infestations in Maize Crop Using In Situ Hyperspectral Data and Guided Regularized Random Forest Algorithm by Elhadi Adam, Houtao Deng, John Odindi, Elfatih M. Abdel-Rahman, Onisimo Mutanga

“…Using these variables (n=6), a random forest classifier was able to discriminate between the healthy maize and maize at an early stage of PLS infestation with an overall accuracy of 88% and a kappa value of 0.75. …”
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Identifying risk factors and constructing a predictive model for heart failure combined with intracardiac thrombus in non-compaction cardiomyopathy patients by Peizhu Dang, Haiyang Wang, Xiaowei Huo, Zheyong Liang, Yongjian Zhang

“…Independent predictors were identified using logistic regression, and a nomogram model was developed. The model’s discriminative ability, accuracy, and clinical applicability were subsequently validated. …”
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Phenotypic and Agronomic Variation Within Naturalized <i>Medicago polymorpha</i> L. (Burr Medic) in Subtropical Queensland, Australia, and Relationships with Climate and Soil Chara... by David L. Lloyd, John P. Thompson, Suzanne P. Boschma, Rick R. Young, Brian Johnson, Kemp C. Teasdale

“…This data matrix was analyzed by cluster, principal co-ordinates, discriminant and correlation analyses to examine line relationships based on plant attributes and their association with site characteristics of climate and soil. …”
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