Differentiation of <i>Escherichia coli</i> and <i>Shigella flexneri</i> by Metabolite Profiles Obtained Using Gold Nanoparticles-Based Surface-Assisted Laser Desorption/Ionization... by Adrian Arendowski

“…The results of Partial Least Squares-Discriminant Analysis (PLS-DA) demonstrated that the metabolomic approach could accurately differentiate the microorganisms under study. …”
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Adequacy of the Fogging Test in the Detection of Clinically Significant Hyperopia in School-Aged Children by João Esteves Leandro, Jorge Meira, Carla Sofia Ferreira, Renato Santos-Silva, Paulo Freitas-Costa, Augusto Magalhães, Jorge Breda, Fernando Falcão-Reis

“…The VA cutoff with best discriminative capacity was ≥5/10, with a sensitivity of 100%, specificity of 79%, positive predictive value (PPV) of 57%, and negative predictive value (NPV) of 100%. …”
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Molecular Identification of Fusarium proliferatum from toenails: A case report by Sazan Jamal Gharib, Nawroz Abdul-razzak Tahir

“…Designation of the ordinary laboratory of Fusarium is very challenging because of the septate hyphae of Fusarium are hard to discriminate from those of Aspergillus, which has a more favourable consequence and this time-consuming. …”
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Assessing brain-muscle networks during motor imagery to detect covert command-following by Emilia Fló, Daniel Fraiman, Jacobo Diego Sitt

“…For the 15/38 participants who showed motor imagery, as indexed by common spatial filters and linear discriminant analysis, we contrasted the configuration of the networks during imagined movement and resting state at the group level, and subject-level classifiers were implemented using as features the weights of the NMF together with trial-wise power modulations and heart response to classify resting state from motor imagery. …”
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Parametric and non-parametric estimation of reference intervals for routine laboratory tests: an analysis of health check-up data for 260 889 young men in the South Korean military by Taeyun Kim, Hyunji Choi, Sun Min Lee

“…As such approaches based on large data sets become more prevalent, further studies are needed to discriminate eligible individuals and determine RIs in an extrapolated sample.…”
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Translation, Adaptation, and Validation in Portuguese of an Acceptance Scale for Human–Robot Interaction in an Industrial Context by Ana Pinto, Leticia Lemos, Carla Carvalho, Joana Santos, Paulo Menezes, Tatsuya Nomura

“…The goodness-of-fit index (GFI), comparative fit index (CFI), and normed fit index (NFI) were 0.88, 0.90, and 0.86, respectively, all within acceptable ranges. Convergent and discriminant validities were also analyzed. An analysis of the differences in perceptions of acceptance based on sociodemographic variables (gender, experience with robots, educational level, and age) was conducted. …”
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The Reliability and Validity of a Novel Clinical Test for Assessing Shoulder Rotation ROM in Collegiate Baseball Players: Functional Assessment of System Tension of the Shoulder (F... by Steven Dischiavi, Jesse Perry, Connor Burk, Jeremy Chiang, Chris Bleakley

“… # Conclusions FAST-SHDR testing shows good to excellent intra-rater reliability for measuring shoulder rotational PROM and demonstrates both face and discriminant validity. # Level of Evidence 3…”
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THE AMERICAN COLLEGE OF SURGEONS-NATIONAL SURGICAL QUALITY IMPROVEMENT PROGRAM CALCULATOR AND SURGICAL APGAR AS PREDICTORS OF POST-CHOLECYSTECTOMY COMPLICATIONS by Diana Tejeda-Herrera, Jose Caballero-Alvarado, Carlos Zavaleta-Corvera

“…A chi-square test was used for bivariate analysis, and the receiver operating characteristic (ROC) curve analysis was employed to determine the discriminative capacity of the ACS-NSQIP and surgical Apgar calculators in predicting severe complications. …”
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Reversal of Experimental Liver Damage after Transplantation of Stem-Derived Cells Detected by FTIR Spectroscopy by Danna Ye, Philip Heraud, Rangsun Parnpai, Tong Li

“…Principal component analysis (PCA) of spectra acquired from liver tissue could readily discriminate rBM-MSC-DSC-transplanted animals from the untreated and rBM-MSC-transplanted animals. …”
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Comparative Analysis of Biomarkers in Type 2 Diabetes Patients With and Without Comorbidities: Insights Into the Role of Hypertension and Cardiovascular Disease by Symeon Savvopoulos, Haralampos Hatzikirou, Herbert F Jelinek

“…Control patients and patients with hypertension, cardiovascular, and with both hypertension and cardiovascular diseases are 156, 148, 61, and 216, respectively. Methods: Linear discriminant analysis is used for classification method and feature importance, This study examined the relationship between Humanin and mitochondrial protein (MOTSc), mitochondrial peptides associated with oxidative stress, diabetes progression, and associated complications. …”
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Altitude-Driven Variations in Nutritional, Bioactive, and Mineral Profiles of Hawthorn (<i>Crataegus</i> spp.) by Yanyan Liu, Lu Chen, Guohui Shen, Yanting Gu, Yanzhi Guo, Juan Han

“…Through comprehensive analysis of 20 nutritional indicators from high- and low-altitude samples, including essential nutrients, bioactive compounds, and trace elements, multivariate analyses such as Principal Component Analysis (PCA) and Partial Least Squares Discriminant Analysis (PLS-DA) revealed clear altitude-driven clustering. …”
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Enhancing Cervical Cancer Classification: Through a Hybrid Deep Learning Approach Integrating DenseNet201 and InceptionV3 by Abhiram Sharma, R. Parvathi

“…Feature extraction and dimensionality optimization are employed to identify the most critical and discriminative features for classification. The experimental setup utilizes Python, TensorFlow, and Keras within a GPU-enabled environment to handle computational demands effectively. …”
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Drawing as a learning tool for anatomy: design and implementation of a method. by Elena Martínez Carracelas, Miguel Ángel Fernández-Villacañas Marín, Matilde Moreno Cascales, Diego Flores Funes

“…This study concludes that the learning method had a positive influence on the learning of Anatomy and that attending the workshop improved the level of knowledge, the ability to discriminate details and skull the three-dimensional understanding. …”
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Random Cross-Validation Produces Biased Assessment of Machine Learning Performance in Regional Landslide Susceptibility Prediction by Chandan Kumar, Gabriel Walton, Paul Santi, Carlos Luza

“…This experiment was conducted on regional landslide susceptibility prediction using different ML models: logistic regression (LR), k-nearest neighbor (KNN), linear discriminant analysis (LDA), artificial neural networks (ANN), support vector machine (SVM), random forest (RF), and C5.0. …”
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Molecular genetic characteristics of broccoli (Brassica oleracea L. var. italica Plenck) from the VIR collection by D. A. Fateev, A. M. Artemyeva

“…In the studied loci, 3 to 7 alleles were pinpointed. The discriminating power of markers ranged from 0.75 to 0.96, and averaged 0.91; the average number of fragments per marker was 4.4. …”
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Association between Consumption of Fluoroquinolones and Carbapenems and Their Resistance Rates in Pseudomonas aeruginosa in Argentina by Silvia Boni, Gustavo H. Marin, Laura Campaña, Lupe Marin, Soledad Risso-Patrón, Gina Marin, Fernanda Gabriel, Alejandra Corso, Valeria Garay, Manuel Limeres

“…Consumption of antimicrobials was expressed by defined daily dose (DDD)/1000 inhabitants for each ATM during one year period, discriminating by each country region. Resistance of P. aeruginosa to carbapenems/fluoroquinolones groups was recorded. …”
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Portable optical spectroscopy and machine learning techniques for quantification of the biochemical content of raw food materials by Cosimo Ricci, Agata Gadaleta, Annamaria Gerardino, Angelo Didonna, Giuseppe Ferrara, Francesca Romana Bertani

“…Results Considering the specific samples, the obtained results of the classification models indicate a validation mean absolute error of 0.8% (percentage of total protein content in dry matter) for two species of wheat using Convolutional Neural Network following normalization procedures and 0.32% using Partial Least Square (PLS) analysis applied to Tritordeum samples; visible reflectance spectra have been used to discriminate the two cereal species. A Root Mean Square Error (RMSE) of 1.25 was obtained for the determination of total soluble solids (TSS) over a 2-year period for pomegranate fresh fruits of Wonderful cultivar, which is commonly harvested with TSS values of 16–17. …”
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Cross-Domain Person Re-Identification Based on Multi-Branch Pose-Guided Occlusion Generation by Pengnan Liu, Yanchen Wang, Yunlong Li, Deqiang Cheng, Feixiang Xu

“…Firstly, a novel pose-guided occlusion generation module is designed to enhance the model’s ability to extract discriminative features from non-occluded areas. Occlusion data are generated to simulate occluded person images. …”
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Deep learning and radiomics for gastric cancer serosal invasion: automated segmentation and multi-machine learning from two centers by Hui Shang, Tao Feng, Dong Han, Fengying Liang, Bin Zhao, Lihang Xu, Zhendong Cao

“…The DLRA model demonstrated superior discriminative capacity relative to other models. A nomogram was constructed based on the logistic clinical model to facilitate the usage and verification of the clinical model. …”
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Prediction of Current and Future Distributions of Chalcophora detrita (Coleoptera: Buprestidae) Under Climate Change Scenarios by Arif Duyar, Muhammed Arif Demir, Mahmut Kabalak

“…An ensemble model was created by using 11 different algorithms (Artificial Neural Network, Classification Tree Analysis, eXtreme Gradient Boosting, Flexible Discriminant Analysis, Generalised Additive Model, Generalised Boosting Model, Generalised Linear Model, Multivariate Adaptive Regression Splines, Maximum Entropy, Random Forest, Surface Range Envelope) to predict the potential suitable habitats of C. detrita. …”
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