Psychometric accuracy of the Dutch Child and Adolescent Trauma Screener by Lieke H. Kooij, Irma M. Hein, Cedric Sachser, Samantha Bouwmeester, Madelief Bosse, Ramón J. L. Lindauer

“…The KJTS showed excellent reliability (alpha = .92) on both selfreport and caregiver report. The convergent-discriminant validity pattern showed medium to strong correlations with measures of internalization problems, such as anxiety and affective problems (r = .44–.72) and low to medium correlations with externalizing symptoms (r = .21–.36). …”
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Assessment of using transfer learning with different classifiers in hypodontia diagnosis by Tansel Uyar, Didem Sakaryalı Uyar

“…Pretrained convolutional neural network models (AlexNet, DarkNet-19, DarkNet-53, DenseNet-201, EfficientNet, GoogLeNet, InceptionV3, IncResV2, MobileNetV2, NasNet-Mobile, Places365, ResNet-18, ResNet-50, ResNet-101, ShuffleNet, SqueezeNet, VGG-16, VGG-19, and Xception) were used for training with the fine-tuning method and different machine learning classifiers (decision trees, discriminant analysis, logistic regression, naive Bayes, support vector machines, nearest neighbor, ensemble method, and artificial neural network). …”
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A Fourfold Bi-Filter and Permuted Bi-Quad-Wrapper Feature Selection Method for Finding Optimal Moments of Multi-Trajectory Transient Records in Transient Analysis by Seyed Alireza Bashiri Mosavi, Omid Khalaf Beigi

“…Hence, designing a polyhedral feature selection scheme (FSS) to fix the TA bottleneck raised by feeding non-discriminative transient records into predictive models is a significant task to avoid discordant TA indices results. …”
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The Relationship between C-Reactive Protein/Albumin Ratio and Disease Activity in Patients with Inflammatory Bowel Disease by Yi-Han Chen, Li Wang, Shu-Yi Feng, Wei-Min Cai, Xiao-Fu Chen, Zhi-Ming Huang

“…Compared with CBC parameters, the CRP/ALB ratio had a higher discriminative capacity for active IBD.…”
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Nutritional and Microbiome Effects of a Partial Substitution of Poultry Meat with Hydrolyzed Feather Meal in Dog Diets by Fatemeh Balouei, Bruno Stefanon, Rosangela Armone, Andrea Randazzo, Biagina Chiofalo

“…The beta diversity between sexes was significantly different (<i>p</i>-value = 0.047). Linear Discriminant analysis effect size analysis revealed significant differences between dietary groups, identifying <i>Clostridiales</i>, <i>Coprococcus</i>, <i>Bacteroides plebeius</i>, <i>Eubacterium biforme</i>, <i>Catenibacterium</i>, and <i>Prevotella copri</i> as more abundant in the CTR diet, while <i>Fusobacterium, Bacteroides, Fusobacteriaceae</i>, <i>Paraprevotellaceae, Enterococcus</i>, <i>Faecalibacterium</i>, <i>Enterobacteriaceae</i>, <i>Peptostreptococcaceae</i>, and <i>Clostridium spiroforme</i> were more abundant in the treated diet. …”
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Gut colonization of Bacteroides plebeius suppresses colitis-associated colon cancer development by Hung-Lin Chen, Po-Yuan Hu, Chang-Shan Chen, Wei-Han Lin, Daniel K. Hsu, Fu-Tong Liu, Tzu-Ching Meng

“…We found that mice orally administered with B. plebeius and fed a diet containing 1% seaweed developed a unique gut microbial composition. By linear discriminant analysis effect size analysis, we found that B. plebeius colonization increased the abundance of Blautia coccoides and reduced the abundance of Akkermansia sp. and Dubosiella sp. …”
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Profile to frontal face recognition in the wild using coupled conditional generative adversarial network by Fariborz Taherkhani, Veeru Talreja, Jeremy Dawson, Matthew C. Valenti, Nasser M. Nasrabadi

“…Additionally, the authors have also implemented a coupled convolutional neural network (cpCNN) and an adversarial discriminative domain adaptation network (ADDA) for profile to frontal FR. …”
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Comparing Mortality Risk Predictive Ability of Different Scoring Systems in Cirrhotic Patients with Bacteremia by Chi-Chieh Hung, Yin-Chou Hsu, Kuo-Hsuan Lin

“…In comparison of the discriminative ability in mortality risk prediction, PBS (AUROC = 0.83, 95% CI = 0.75–0.90, p<0.001) and MELD scores (AUROC = 0.78, 95% CI = 0.70–0.86, p<0.001) revealed a better predictive ability than Child–Pugh (AUROC = 0.69, 95% CI = 0.59–0.70, p<0.01) and qSOFA scores (AUROC = 0.65, 95% CI = 0.54–0.75, p<0.01). …”
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Quantum chemical study of molecular properties of small branched-chain amino acids in water by Roman Boča, Žofia Rádiková, Juraj Štofko, Beata Vranovičová, Cyril Rajnák

“…However, cluster analysis of 12 electro neutral, linear and branched amino acids with 2 – 6 carbon atoms discriminates them into five clusters. It is found that the electrophilicity index correlates with the absolute reduction potential along a straight line (24 items). …”
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Psychometric Properties of the Persian Version of the Frontal Assessment Battery in Patients With Traumatic Brain Injury by Ramin Banimahdi, Seyed Majid Akhavan Hejazi, Seyed Ali Hosseini, Nazila Akbarfahimi, Mohsen Vahedi

“…Concurrent validity was evaluated through comparative analysis with the mini-mental state examination (MMSE), the Wisconsin card sorting test (WCST), and the Stroop color and word test (SCWT). Discriminant validity was analyzed by comparing mean FAB scores between TBI patients and healthy participants. …”
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Quick Determination of Soil Quality Using Portable Spectroscopy and Efficient Multivariate Techniques by Ernest Teye, Charles L. Y. Amuah, Kofi Atiah, Ransford Opoku Darko, Thomas Abindaw, Kwadwo Kusi Amoah, Michael Miyittah, Emmanuel Afutu, Rebecca Owusu

“…Different Algorithms. Linear discriminant analysis (LDA), support vector machine (SVM), and partial least squares algorithms (full-range partial least square, FrPLS; interval partial least squares, IPLS; synergy interval partial least squares, Si-PLS) were attempted for building a suitable classification and quantification model. …”
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Analysis of the Multilevel Impact of Social Network Quality on Personality Dimensions in Purchasing by Maryam Akhavan Kharazian, Sona Shafieirad

“…The reliability of the questionnaire was confirmed using Cronbach’s alpha and the CR index, while its validity was confirmed using content, convergent, and discriminant validity methods. Data analysis was performed using partial least squares structural equation modeling (PLS-SEM) with SmartPLS software.   …”
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Risk prediction models for post-intensive care syndrome of ICU discharged patients: A systematic review by Pengfei Yang, Fu Yang, Qi Wang, Fang Fang, Qian Yu, Rui Tai

“…Results: This systematic review included a total of 16 studies, comprising two cognitive impairment studies, four psychological impairment studies, eight physiological impairment studies, and two studies on all three domains. The discriminative ability of prediction models measured by area under the receiver operating characteristic curve was 0.68–0.90. …”
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Characterization of Complex Image Spatial Structures Based on Symmetrical Weibull Distribution Model for Texture Pattern Classification by Jinping Liu, Jiezhou He, Zhaohui Tang, Pengfei Xu, Wuxia Zhang, Weihua Gui

“…Finally, SWDM-based TP feature parameters, demonstrated to be directly related to the human vision perception system with significant physical perception meaning, are extracted and used to TP classification with a partial least squares-discriminant analysis- (PLS-DA-) based classifier. The effectiveness of the proposed ISM-TPI method is verified by extensive experiments on three texture image databases. …”
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Comprehensive Metabolomic Profiling in Adults with X-Linked Hypophosphatemia: A Case-Control Study by Luis Carlos López-Romero, José Jesús Broseta, Marta Roca-Marugán, Noemí Máñez Ramírez, Julio Hernández-Jaras

“…We employed multivariate statistical models, including a principal component analysis (PCA) and an orthogonal partial least squares discriminant analysis (OPLS-DA) regression model. Results: A cohort of 20 XLH patients and 19 control subjects were recruited. …”
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The relationship between perceived stress and job burnout of police officers during the COVID-19 pandemic: the mediating role of social support, sleep quality and resilience by Xuyu Chen, Yi Xu, Qi Zhang, Hongwei Huang, Xiaodong Tan, Yang Yang

“…Cronbach’s α coefficient methods and confirmatory factor analysis (CFA) were applied to check the scales’ reliability and discriminant validity. The structural equation model (SEM) was performed to adjust the model fitting. …”
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Clinical and measurement variables affecting halitosis intensity following cysteine challenge test by Wanki Lee, Jung Hwan Jo, Young-Seok Park, Ji Woon Park

“…The amount of tongue coating showed significant association with methyl mercaptan levels immediately after (β = 0.202, p = 0.049) and 10 min following (β = 0.207, p = 0.045) cysteine challenge and CPITN showed acceptable discriminative power for persistent detection of methyl mercaptan (cut-off = 1.5, AUC = 0.668). …”
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Morpho-cultural, pathogenic, and genetic characterization of Indian isolates of Macrophomina phaseolina causing charcoal rot in soybean by Laxman Singh Rajput, Sanjeev Kumar, Kriti Pathak, Palak Acharya, Divyanshu Goswami, Vennampally Nataraj, Maranna Shivakumar, Hemant Singh Maheshwari, Saloni Mandloi, Sapna Jaiswal, Asha Yadav, Raksha Vishwakarma

“…GGE biplot also provides information on two highly discriminative isolates. These isolates may be useful for screening genotypes and identifying quantitative trait loci (QTL) linked to soybean charcoal rot.…”
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Neutrophil-to-Lymphocyte Ratio, Monocyte-to-Lymphocyte Ratio, Platelet-to-Lymphocyte Ratio, and Mean Platelet Volume-to-Platelet Count Ratio as Biomarkers in Critically Ill and Inj... by Dragan Djordjevic, Goran Rondovic, Maja Surbatovic, Ivan Stanojevic, Ivo Udovicic, Tamara Andjelic, Snjezana Zeba, Snezana Milosavljevic, Nikola Stankovic, Dzihan Abazovic, Jasna Jevdjic, Danilo Vojvodic

“…Neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and mean platelet volume-to-platelet count (MPV/PC) ratio are readily available parameters that might have discriminative power regarding outcome. The aim of our study was to assess prognostic value of these biomarkers regarding outcome in critically ill patients with secondary sepsis and/or trauma. …”
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Use of key indicators to monitor sustainable development of rural areas by V. Shcherbak, L. Ganushchak-Yefimenko, O. Nifatova, N. Fastovets, G. Plysenko, L. Lutay, V. Tkachuk, O. Ptashchenko

“…The tracking model is based on the consistent use of economic, mathematical and expert methods: SWOT-analysis, factor, cluster and discriminant analysis. The construction of the dendrogram allows to determine the type of representative for each cluster. …”
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