Extracellular viral microRNAs as biomarkers of virus infection in human cells by Cheryl Chan, Joanne Xin Yi Loh, Wei-Xiang Sin, Denise Bei Lin Teo, Nicholas Kwan Zen Tan, Chandramouli Nagarajan, Yunxin Chen, Francesca Lorraine Wei Inng Lim, Michael E. Birnbaum, Rohan B.H. Williams, Stacy L. Springs

“…Nucleic acid amplification tests (NAATs) have enabled fast and sensitive detection of virus infections but are unable to discriminate between live and dead/inert viral fragments or between latent and reactivated virus infections. …”
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The association between lipid-related obesity indicators and severe headache or migraine: a nationwide cross sectional study from NHANES 1999 to 2004 by Xu Sun, Jimei Song, Rixun Yan, Jianwei Diao, Yibo Liu, Zhangzhi Zhu, Weichi Lu

“…Abstract Background The connection between lipid-related obesity indices and severe headache or migraine in young and middle-aged people aged 20–60 remains ambiguous, and there are gaps in the discriminative ability of different indicators for severe headaches or migraines. …”
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Energy-innovation knowledge common connection point management in preventing outbreak of the Covid-19 pandemic in a University by V. Shcherbak, I. Gryshchenko, L. Ganushchak-Yefimenko, O. Nifatova, V. Bobrovnyk, M. Verhun

“…The system for monitoring the attained level of energy efficiency is based on the use of discriminant analysis.FINDINGS: Implementation of the weighted strategy has proved that the classes will be given online, 23% of all offices. …”
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Downregulation of serum miR-30c-5p serves as a biomarker to predict disease onset and short-term prognosis in acute coronary syndrome patients by Bo Chang, Xiangfeng Zhang, Riliang Fang, Huibin Li, Youdan Zhou, Yakun Wang

“…MiR-30c-5p could also discriminate acute myocardial infarction (AMI) from unstable angina pectoris (UAP) subjects in ACS. …”
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Development of a short version of the perceived social support scale: based on classical test theory and ant colony optimization by Yunchou Wu, Jingqi Tang, Zhuoran Du, Ke Chen, Fei Wang, Xiaonan Sun, Guoying Zhang, Yibo Wu

“…The reliability and discriminant validity of the three short forms were tested. …”
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Untargeted metabolomics analysis of glycerophospholipid metabolism in very low birth weight infants administered multiple oil lipid emulsions by Xiaoyan Zeng, Tao Yu, Luping Xia, Zhiqiang Ruan

“…Differential metabolites were identified using Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) modeling, with criteria of variable importance in the projection (VIP) > 1 and false discovery rate (FDR) < 0.05. …”
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Goats who stare at video screens – assessing behavioural responses of goats towards images of familiar and unfamiliar con- and heterospecifics by Deutsch, Jana, Lebing, Steve, Eggert, Anja, Nawroth, Christian

“…Our findings indicate that goats are capable of discriminating between two-dimensional con- and heterospecific faces, but also raise questions on their ability to categorise other individuals regarding their familiarity using 2D face images alone. …”
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<i>Lomatium</i> Species of the Intermountain Western United States: A Chemotaxonomic Investigation Based on Essential Oil Compositions by William N. Setzer, Ambika Poudel, Prabodh Satyal, Kathy Swor, Clinton C. Shock

“…The enantiomeric distributions of α-pinene, camphene, sabinene, β-pinene, limonene, and linalool were also utilized to discriminate between the <i>Lomatium</i> taxa. There are not enough consistent data to properly characterize <i>L. triternatum</i> var. …”
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A Psychometric Analysis of the Polish Online Version of the Aging Semantic Differential Scale (ASD) by Puto G, Wadelska-Kaczmarek A, Muszalik M

“…Theoretical validity of the scale was assessed using principal component analysis (PCA) with Oblimin rotation with delta parameter equal to 0 and Kaiser normalization. Discriminant validity of the obtained factors was calculated using the AVE (Average Shared Squared Variance) and MSV (Maximum Shared Squared Variance) parameters. …”
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Application of Dynamic 18F-FDG PET/CT for Distinguishing Intrapulmonary Metastases from Synchronous Multiple Primary Lung Cancer by Weize Lv, Min Yang, Hongcheng Zhong, Xiaojin Wang, Shuai Yang, Lei Bi, Jianzhong Xian, Xiaofeng Pei, Xinghua He, Ying Wang, Zhong Lin, Qingdong Cao, Hongjun Jin, Hong Shan

“…Ki calculation based on Patlak graphic analysis could be more sensitive than SUVmax in discriminating IPM from sMPLC in patients with multiple lung cancer nodules.…”
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At what cycle threshold level are dogs able to detect SARS-CoV-2 in humans? by Víctor M Vidal-Martínez, Juan Manuel Mancilla-Tapia, Lilia C Soler-Jiménez, Iván Velázquez-Abunader, Matilde Jiménez-Coello, Antonio Ortega-Pacheco, David Hernández-Mena

“…Dogs can discriminate between people infected with SARS-CoV-2 from those uninfected, although their results vary depending on the settings in which they are exposed to infected individuals or samples of urine, sweat or saliva. …”
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In Silico Exploration of Staphylococcal Cassette Chromosome <i>mec</i> (SCC<i>mec</i>) Evolution Based on Phylogenetic Relationship of <i>ccrAB/C</i> by Huawei Wang, Jinxing He

“…Importantly, the phylogenetic relationship of <i>ccrAB/C</i> did not exhibit centralization over time; instead, similarly to <i>mecA</i>, <i>ccrAB/C</i> with similar identities had close clades across decades and geographical limits and different SCC<i>mec</i> types, which enabled us to discriminate SCC<i>mec</i> based on the sequence identity of <i>ccrAB/C</i>. …”
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A BERT-Based Classification Model: The Case of Russian Fairy Tales by Валерий Дмитриевич Соловьев, Марина Ивановна Солнышкина, Andrey Ten, Николай Аркадиевич Прокопьев

“…Traditional classification methods including stylometric and parametric algorithms, however, are not only labour-intensive and time-consuming, but they are also struggling with identifying corresponding classifying discriminants. The research in the area is scarce, their findings are still controversial and debatable. …”
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Research Progress on Neural Processing of Hand and Forearm Tactile Sensation: A Review Based on fMRI Research by Chen H, Fu S, Zhi X, Wang Y, Liu F, Li Y, Ren F, Zhang J, Ren L, Wang Y

“…These studies use general linear models (GLM) to identify brain regions activated during touch processing, or employ functional connectivity(FC) analysis to examine interactions between brain regions, thereby exploring the neural mechanisms underlying the central nervous system’s processing of various aspects of tactile sensation, including discriminative touch and affective touch. The discussion extends to exploring changes in tactile processing patterns observed in certain disease states. …”
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Prevalence and Molecular Characterization of Cysticercus tenuicollis Isolated from Some Intermediate Host in Kurdistan-Iraq by Abdullah Ahmed Hama, Rostam Hama Zorab, Fatima Mohammed Ali, Awaz M. Salih, Amer Abdullah Hassan

“…This finding concludes that the amplification of mt-CO1 gene cannot be depended on discriminate hydatid cyst and C. tenuicollis while the partial DNA sequences of mt-CO1 gene are significantly valuable to differentiate C. tenuicollis from hydatid cyst, which is completely different in the pathology and control. …”
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Comparative analysis of phytonutrients of Moringa oleifera leaves from South Africa and Nigeria, and their antimicrobial and antioxidant potentials by UPLC-ESI-QToF-MS and OPLS-DA... by Jonathan Kayembe, Cosa Sekelwa, Kokoette Bassey

“…This study aimed to conduct a comparative analysis of the phytonutrients (nutrients protectors) or supplements, antioxidant, and antimicrobial potentials of M. oleifera leaves from Nigeria and South Africa to benchmark quality control protocols for commercial beverages such as Moringa porridge.MethodsStandard techniques, including high-performance liquid chromatography-photodiode array and ultra-high-performance liquid chromatography electrospray ionization quadruple time-of-flight mass spectrometry (UPLC-ESI-QToF-MS) and chemometrics orthogonal partial least square discriminant analysis (OPLS-DA) were employed for phytoconstituents fingerprinting. …”
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Exploring Machine Learning Classification of Movement Phases in Hemiparetic Stroke Patients: A Controlled EEG-tDCS Study by Rishishankar E. Suresh, M S Zobaer, Matthew J. Triano, Brian F. Saway, Parneet Grewal, Nathan C. Rowland

“…Late active tDCS surpassed late sham tDCS classification (75.2% vs. 71.5%, <i>p</i> < 0.0001). Linear discriminant analysis was the most accurate (74.6%) algorithm with the shortest training time (0.9 s). …”
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Predicting the risk of gastroparesis in critically ill patients after CME using an interpretable machine learning algorithm – a 10-year multicenter retrospective study by Yuan Liu, Songyun Zhao, Wenyi Du, Wei Shen, Ning Zhou

“…To assess the model’s generalization performance, we employed 10-fold cross-validation, while the receiver operating characteristic (ROC) curve was utilized to evaluate its discriminative capacity. Additionally, calibration curves, decision curve analysis (DCA), and external validation were integrated to provide a comprehensive evaluation of the model’s clinical applicability and utility.ResultsAmong the four predictive models, the XGBoost algorithm demonstrated superior performance. …”
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Assisting significance of lncRNA ASB16-AS1 in the early detection and prognosis prediction of patients with deep venous thrombosis by Menglan Li, Yingying Li, Dawei Zhang, Cheng Cheng, Meiying Yang, Xiuyin Zhang, Xinming Yu, Bo Lu, Min Wang

“…Results ASB16-AS1 was significantly upregulated in DVT (P < 0.001), which could discriminate DVT patients from healthy individuals with high sensitivity and specificity (AUC of ROC = 0.858). …”
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Development and validation of a prediction model of hospital mortality for patients with cardiac arrest survived 24 hours after cardiopulmonary resuscitation by Renwei Zhang, Zhenxing Liu, Yumin Liu, Li Peng

“…Calibration curves, the area under receiver operating curves (ROC), decision curve analysis (DCA), and clinical impact curve were used to assess the discriminability, accuracy, and clinical utility of the nomogram.ResultsThe study population comprised 374 patients, with 262 allocated to the training group and 112 to the validation group. …”
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