Prediction of Immune Infiltration Diagnostic Gene Biomarkers in Kawasaki Disease by Hongjun Ba, Yao Wang, Lili Zhang, Huishen Wang, Zhan-Peng Huang, Youzhen Qin

“…Candidate biological markers were determined utilizing the support vector machine recursive feature elimination and the least absolute shrinkage and selection operator regression model analysis. To assess discriminating capacity, the area under the receiver operating characteristic curve (AUC) was computed. …”
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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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RB-TRNet: a regularity-guided and boundary-aware architecture for toponym recognition from Chinese text by Haigang Sui, Jindi Wang, Xining Zhang, Huihan Ning, Wentao Wang, Lieyun Hu

“…Then, two BiLSTM layers are fed with text representation sequences, with one processed sequence entering the toponym regularity-guided module to obtain the composition patterns of Chinese place name entities and the other sequence entering the toponym regularity-discriminant module to soften an excessive reliance on contextual information for recognizing patterns of Chinese place name entities. …”
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Evaluation of drinking water quality in Xinjiang based on the improved comprehensive water quality index by Jie Li, Lingshuang Lv, Wei Zhe, Xixi Deng, Qin Lin, Rongxiang Xia, Ruonan Fu

“…Methods: The testing data of 6543 water samples from the dry season and the wet season in 2023 were selected, and the drinking water quality in Xinjiang was evaluated and analyzed by using the Nemerow pollution index, the worst factor discriminant method and the weighted average method to calculate the comprehensive water quality index. …”
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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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The value of multiparametric MRI radiomics and machine learning in predicting preoperative Ki-67 expression level in breast cancer by Yan Lu, Long Jin, Ning Ding, Mengjuan Li, Shengnan Yin, Yiding Ji

“…Hower, Logistic regression (LR) and linear discriminant analysis (LDA) based on modelintra+peri demonstrated significant advantages over other algorithms, achieving AUCs of 0.92 and 0.98, accuracies of 0.94 and 0.97, sensitivities of 1 and 0.96, and specificities of 0.85 and 1 respectively in the validation set. …”
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Gender disparity in care-seeking behaviours and treatment outcomes for dehydrating diarrhoea among under-5 children admitted to a diarrhoeal disease hospital in Bangladesh: an anal... by Subhasish Das, Tahmeed Ahmed, Imteaz Mahmud, Soroar Hossain Khan, A S G Faruque

“…Introduction Despite economic development and augmented literacy rates, Bangladeshi households are still discriminating against girls when it comes to seeking medical care. …”
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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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Application of functional near-infrared spectroscopy and machine learning to predict treatment response after six months in major depressive disorder by Cyrus Su Hui Ho, Jinyuan Wang, Gabrielle Wann Nii Tay, Roger Ho, Hai Lin, Zhifei Li, Nanguang Chen

“…Seventy patients with MDD were included in this 6-month longitudinal study, with the primary treatment outcome measured by changes in the Hamilton Depression Rating Scale (HAM-D) scores. fNIRS and clinical information were strictly evaluated using nested cross-validation to predict responders and non-responders based on machine-learning models, including support vector machine, random forest, XGBoost, discriminant analysis, Naïve Bayes, and transformers. …”
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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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