Nomogram to screen older adult patients attending the radiology department for sarcopenia by Guiying Yuan, Guoxi Ye, Jianguang Hu, Huimin Hu, Chanmei Shi, Ye Zhang, Junbing Huang, Zhiqiong Li, Xuwen Zeng, Rongshao Tan, Yuchao Xiong

“…Therefore, we aim to construct a nomogram based on simplified discriminant parameters for screening older adult patients for sarcopenia risk. …”
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The Psychometric Properties of the Persian Migraine-Specific Quality of Life Questionnaire Version 2.1 in Episodic and Chronic Migraines by Alireza Zandifar, Samaneh Sadat Masjedi, Faraidoon Haghdoost, Fatemeh Asgari, Navid Manouchehri, Mahboobeh Banihashemi, Mohammad Reza Najafi, Abbas Ghorbani, Behzad Zolfaghari, Ali Gholamrezaei, Vahid Shaygannejad, Mohammad Saadatnia

“…Test-retest correlation of MSQ dimensions between visits 1 and 2 varied from 0.41 to 0.50. Convergent, item discriminant, and discriminant validities were approved. …”
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The Orbital Stability of Solitary Wave Solutions for the Generalized Gardner Equation and the Influence Caused by the Interactions between Nonlinear Terms by Wei-Guo Zhang, Xing-Qian Ling, Xiang Li, Shao-Wei Li

“…Finally, by deriving the orbital stability discriminant d′′(c) in the form of Gaussian hypergeometric function, the numerical simulations of several main conclusions are given in this paper.…”
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Efficient Image Inpainting for Handwritten Text Removal Using CycleGAN Framework by Somanka Maiti, Shabari Nath Panuganti, Gaurav Bhatnagar, Jonathan Wu

“…An adversarial trade-off between the generator and discriminator motivates the model to improve its training and produce a superior reconstructed image. …”
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Quality evaluation of learning math tests by Irina G. Ustinova, Elena G. Lazareva

“…Learning math tests should be informative, valid, reliable, discriminative. The research subjects are test results in mathematical analysis 21 tests. …”
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Developing and validating an Interdisciplinary Teaching Readiness Scale (ITRS) for pre-service teachers in China. by Xin Wang, Lei Yuan, Shuang Li, Haoyuan Yu, Pan Tuo, Yongxiang Du, Baohui Zhang

“…Data were collected from 234 pre-service teachers at S Normal University (Sample A) for item analysis and exploratory factor analysis (EFA), followed by data collection from 543 pre-service teachers in China (Sample B) for confirmatory factor analysis(CFA), convergent validity, discriminant validity, and reliability testing. Item analysis on Sample A data using the critical ratio method revealed discriminative items, indicating no need for item deletion. …”
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Sequence Analysis of Long-Term Readmissions among High-Impact Users of Cerebrovascular Patients by Ahsan Rao, Alex Bottle, Ara Darzi, Paul Aylin

“…Among the chronic high-impact group of intracranial haemorrhage (n=2605) common discriminating subsequences (p<0.01) were “dementia-injury,” “chest infection-dementia,” “dementia-dementia-injury,” “dementia-urine infection,” and “injury-urine infection.” …”
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Mining label-free consistency regularization for noisy facial expression recognition by Yumei Tan, Haiying Xia, Shuxiang Song

“…Finally, we use the neighbour consistency regularization to further strengthen the discriminative capability of the model against noise. …”
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Motor Imagery EEG Classification Based on Multi-Domain Feature Rotation and Stacking Ensemble by Xianglong Zhu, Ming Meng, Zewen Yan, Zhizeng Luo

“…Finally, we employ a stacking ensemble approach, where the prediction results of base classifiers corresponding to different domain features and the set of significant features undergo linear discriminant analysis for dimensionality reduction, yielding discriminative feature integration as input for the meta-classifier for classification. …”
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Blood biomarkers to identify patients with different intracranial lesion combinations after traumatic brain injury by Pia Koivikko, Ari J. Katila, Riikka SK. Takala, Iftakher Hossain, Teemu M. Luoto, Rahul Raj, Mari Koivisto, Olli Tenovuo, Kaj Blennow, Peter Hutchinson, Henna-Riikka Maanpää, Mehrbod Mohammadian, Virginia F. Newcombe, Jean-Charles Sanchez, Jussi Tallus, Mark van Gils, Henrik Zetterberg, Jussi P. Posti

“…NF-L, t-tau and GFAP discriminated CL2 from CT-negative cluster with AUCs of 0.839, 0.781 and 0.840, respectively. …”
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Diagnostic Potential of Salivary Interleukin-1β and IL-10 for Distinguishing Periodontal Health From Periodontitis and Stable From Unstable Periodontitis: A Case–Control Study by Zainab J. Raheem, Hayder Raad Abdulbaqi

“…Conclusion: Salivary IL-1β, IL-10, and IL-1β/IL-10 have a high potential to discriminate healthy control from periodontitis and stable from unstable periodontitis.…”
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GGE Biplot Analysis for Stability and Adaptability of Maize Hybrids in Western Region of Indonesia by Dedi Ruswandi, Muhammad Syafii, Haris Maulana, Mira Ariyanti, Nyimas Poppy Indriani, Yuyun Yuwariah

“…The L8 and L17 were the discriminant environment for evaluating hybrids in the western region of Indonesia. …”
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Refined Composite Multivariate Multiscale Fractional Fuzzy Entropy: Measuring the Dynamical Complexity of Multichannel Financial Data by Huiqin Chu, Zhiyong Wu, Wei Zhang

“…Refined composite multivariate multiscale fractional fuzzy entropy (RCmvMFFE), which aims to sensitively discriminate different short noisy multichannel financial data, is proposed as a new measure to quantify the complexity dynamics of multichannel time series in this work. …”
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Comparison of Machine Learning Methods for the Arterial Hypertension Diagnostics by Vladimir S. Kublanov, Anton Yu. Dolganov, David Belo, Hugo Gamboa

“…Investigation results show that discriminant analysis achieves the highest classification accuracy. …”
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Blood metabolomic profile in patients with type 2 diabetes mellitus with diabetic peripheral neuropathic pain by Hung‐Chou Kuo, Chia‐Ni Lin, Sung‐Sheng Tsai, Chiung‐Mei Chen, Rong‐Kuo Lyu, Chun‐Che Chu, Long‐Sun Ro, Ming‐Feng Liao, Hong‐Shiu Chang, Yi‐Ching Weng, Jawl‐Shan Hwang

“…Glutamate, lysoPC a C18:1, and lysoPC a C18:2 discriminated T2DM with DPNP from those without DPNP with an AUC of 0.671. …”
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Cannibalistic Caterpillars (Utetheisa ornatrix; Lepidoptera: Arctiidae) Fail to Differentiate between Eggs on the Basis of Kinship by James F. Hare, Thomas Eisner

“…Utetheisa ornatrix larvae, in exercising egg cannibalism, do not discriminate between kin and nonkin. Under natural conditions this may not be a handicap, partly because the larvae hatch largely in synchrony and do not immediately upon emergence engage in cannibalism.…”
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Influence des pressions anthropiques sur la structure des populations de Pentadesma butyracea au Bénin by Aliou Dicko, Samadori Sorotori Honoré Biaou, Armand Kuyema Natta, Choukouratou Aboudou Salami Gado, M’Mouyohoum Kouagou

“…The diameter distribution structures were of left or right dissymmetry according to pressures types to which the discriminated groups are subjected. For a conservation of remnant populations of P. butyracea, the most degraded gallery forest stands should be reforested while protecting the least degraded ones.…”
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Passive forensic based on spatio-temporal localization of video object removal tampering by Linqiang CHEN, Quanxin YANG, Lifeng YUAN, Ye YAO, Zhen ZHANG, Guohua WU

“…To address the problem of identification of authenticity and integrity of video content and the location of video tampering area,a deep learning detection algorithm based on video noise flow was proposed.Firstly,based on SRM (spatial rich model) and C3D (3D convolution) neural network,a feature extractor,a frame discriminator and a RPN (region proposal network) based spatial locator were constructed.Secondly,the feature extractor was combined with the frame discriminator and the spatial locator respectively,and then two neural networks were built.Finally,two kinds of deep learning models were trained by the enhanced data,which were used to locate the tampered area in temporal domain and spatial domain respectively.The test results show that the accuracy of temporal-domain location is increased to 98.5%,and the average intersection over union of spatial localization and tamper area labeling is 49%,which can effectively locate the tamper area in temporal domain and spatial domain.…”
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Detection of Adulteration in Canola Oil by Using GC-IMS and Chemometric Analysis by Tong Chen, Xinyu Chen, Daoli Lu, Bin Chen

“…The results evaluated by canonical discriminant analysis (CDA) algorithm indicated that the HOG-MPCA-CDA model was feasible to discriminate the canola oil adulterated with other oils and to precisely classify different levels of each adulterant oil. …”
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Flexible analytic wavelet transform in a EEG based brain computer Interface Paradigm: a study in end users with mo-tor disabilities by Oana-Diana Hrisca-Eva

“…Classifiers linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), k nearest neighbors(kNN), Mahalanobis distance (MD) and support vector machine (SVM) were utilized to classsify the extracted features of right hand motor imagery and feet motor imagery (FEET). …”
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