Research on Mechanisms and Control Measures of Surrounding Rock Disaster in Large Section Roadway with Top Coal under the Influence of Tectonic Stress by Yang Yu, Jianfei Lu, Dingchao Chen, Yuxin Pan, Xiangqian Zhao, Cheng Chen

“…Based on the principle of damage mechanics, the critical size discriminant of the LSRTC was deduced, and the induction mechanism of section size effect and tectonic stress effect on the roadway surrounding rock disaster was revealed. …”
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Rapid qualitative and quantitative analysis of strong aroma base liquor based on SPME-MS combined with chemometrics by Zongbao Sun, Junkui Li, Jianfeng Wu, Xiaobo Zou, Chi-Tang Ho, Liming Liang, Xiaojing Yan, Xuan Zhou

“…Results showed that SPME-MS combined with a back-propagation artificial neural network (BPANN) method yielded almost the same recognition performance compared to linear discriminant analysis (LDA) in distinguishing different grades of SABL, with 84% recognition rate for the test set. …”
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Exploratory Factors Analysis of Shaping Phubbing Behavior in Adolescents by Annisa Qurrotu Ainy, Sri Maslihah, Anastasia Wulandari

“…The convergent validity value shows outer loadings > .7 and AVE > .5, and discriminant validity with cross-loading and Fornell-Lacker higher than other latent variables. …”
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ITEM RESPONSE THEORY ANALYSIS ON STUDENT STATISTICAL LITERACY TESTS by Mila Yulia Herosian, Yeni Rafita Sihombing, Delyanti Azzumarito Pulungan

“…Data were analyzed using PARSCALE, based on the Item Response Theory with a two-parameter GRM (2-PL) logistic model, namely item discriminant and item difficulty. The results showed that of the 12 items analyzed, all were good, and the GRM-IRT 2-PL model was the right model for statistical literacy instruments with polytomous answer types. …”
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On the Distributions of Subgraph Centralities in Complex Networks by Faxu Li, Liang Wei, Haixing Zhao, Feng Hu

“…This measure is better in being able to discriminate the nodes of a network than alternate measures. …”
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Late Cretaceous Foraminiferal Biozonation in Selected Wells of Nasiriya Oilfield, Southern Iraq by Salah Hussain, Methaq Y. Tulub

“…The results show that in these two sections, only on benthic foraminifera biozone was discriminated which is: Nezzazata simplex-Nezzazata conica Interval Biozone, dated as Middle-Late Cenomanian (early Late Cretaceous), which indicates the highest occurrence of two successive taxa. …”
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Chemometric Analysis and Physicochemical Composition of Foreign and Tunisian Olive Oil: Consumer Preferences by Kaouther Ben-Hassine, Islem Yangui, Wissem Mnif, Ameni Taamalli, Cinzia Benincasa, Naziha Kamoun, Dhafer Malouche

“…We have then performed a principal component analysis on the data composed by the physicochemical parameters that highly discriminate between cultivars. The latter showed important differences between the most and the less preferred oils and that oxidative stability, palmitic, palmitoleic, oleic, and linoleic fatty acids, triacylglycerol, β-carotene, and polyphenols seem to be the principal-choice drivers for consumers.…”
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Development and validation of the experience of separation from migrant parent scale: a pilot study among Chinese left-behind children by Kexin Wang, Fang Yu, Xiang Cao, Weiqi Mu, Mingjie Zhou, Bin Wang, Shuang Chen

“…In Study 2, confirmatory factor analysis and assessments of discriminant and convergent validity were performed on a sample of 563 LBC (Mage = 13.51, 48.3% male), demonstrating the instrument’s satisfactory validity. …”
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Biochemical, Oxidative, and Lipolytic Changes during Vacuum-Packed Storage of Dry-Cured Loin: Effect of Chestnuts Intake by Celta Pigs by María Gómez, Aida Cachaldora, Sonia Fonseca, Rubén Domínguez, Javier Carballo, Inmaculada Franco

“…The distinction between diets was procured when a discriminant canonical analysis was performed for fatty acid contents. …”
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Design and optimization of high-contrast gratings for multispectral VCSEL-SOI laser sources by I.S. Shashkin, M.I. Kondratov, A.E. Grishin, K.E. Pevchikh, S.O. Slipchenko, N.A. Pikhtin

“…It is demonstrated that the HCG, acting as one of the cavity mirrors, effectively discriminates the VCSEL higher-order modes. An algorithm for calculating HCG parameters that ensure the maximum reflectivity at a fixed thickness of the silicon layer of the SOI is developed.…”
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On the Structure of Cooperative and Competitive Solutions for a Generalized Assignment Game by R. Pablo Arribillaga, Jordi Massó, Alejandro Neme

“…Moreover, each solution can be identified with a set of matrices of (discriminated) prices which indicate how gains from trade are distributed among buyers and sellers. …”
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Challenges in teaching students to plot equations: Another impact of graphing procedures by Ulumul Umah, Ana Rahmawati

“…In studying plotting point procedures, students' knowledge must include understanding concepts related to graphs, such as the meaning of points and graph concavity, graph shifts, and the relationship between the discriminant of a quadratic equation and its graph.…”
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Psychometric Properties of the Posttraumatic Stress Disorder Checklist among the Lebanese Population Exposed to the Beirut Explosion: A Cross-Sectional Study during the COVID-19 Pa... by Fadwa Alhalaiqa, Othman A. Alfuqaha, Rami Masa’Deh, Anas H. Khalifeh, Mahmoud Alsaraireh, Natija S. Manaa, Osama Alkouri, Omar Al Omari

“…Face, content, construct, discriminant, and convergent validity had been accomplished through the survey. …”
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Parallel tempered Bayesian inference for characterizing non-ideal semiconductors: Carrier trapping in cadmium telluride thin films by Calvin Fai, Anthony J.C. Ladd, Charles J. Hages, Gregory A. Manoukian, Jason B. Baxter

“…Our work shows that Bayesian inference can discriminate between plausible physics models, as well as determine parameter values for a given model. …”
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Laser-Induced Breakdown Spectroscopy-Based Coal-Rock Recognition: An <italic>in Situ</italic> Sampling and Recognition Method by Cong Liu, Yimin Luo, Qizhi Zhang

“…Partial least squares discriminant analysis (PLS-DA) is used to analyze the LIBS spectrum and to construct a simplified spectral model (SSM). …”
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SCRD-Net: A Deep Convolutional Neural Network Model for Glaucoma Detection in Retina Tomography by Hua Wang, Jingfei Hu, Jicong Zhang

“…In addition, we visualized the network outputs to develop an interpretation of the learned mechanism for discriminating glaucoma and normal images. Thus, the SCRD-Net can be an effective diagnostic indicator of glaucoma during clinical screening. …”
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Finite Conductivity Effects in Electrostatic Force Microscopy on Thin Dielectric Films: A Theoretical Model by E. Castellano-Hernández, G. M. Sacha

“…Finally, we suggest a method to discriminate between permittivity and conductivity effects by analyzing the dependence of the signal with the tip-sample distance.…”
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Efficacy of Frontal Sinus as a Reliable Tool for Sex Differentiation – A Cross-Sectional Study by Ridhi Bhola, Shreya Chatterjee, Mala Kamboj, Anjali Narwal, Anju Devi, Manisha Kamal Kukreja

“…The frontal sinus perimeter was a novel parameter which was utilised as a variable in the obtained discriminant equation for sex differentiation. Thus, this cost-effective technique might be useful as an adjunct to assess sexual dimorphism.…”
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An Exploration of the Triplet Periodicity in Nucleotide Sequences with a Mature Self-Adaptive Spectral Rotation Approach by Bo Chen, Ping Ji

“…The coding regions (TP intensive) are then visually discriminated from the noncoding ones (without TP), in the TP walk. …”
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A method of synthetic speech spoofing detection using constant Q modulation envelope by Jia XU, Zhihua JIAN, Honghui JIN, Chao WU

“…In response to the low accuracy of synthetic speech spoofing detection based on traditional acoustic feature parameters, poor detection performance for unknown types of synthetic speech, and performance degradation in noisy environments, a method for detecting spoofing synthetic speech was proposed using constant Q modulation envelope (CQME) .The motivation of the method was from the fact that the temporal envelope of speech contained abundant information and there was a big difference in detail between the envelope of synthetic speech and genuine speech.The modulation envelope spectrum of speech was obtained by employing constant Q transform (CQT), and the root mean square of each frequency component was calculated to derive the CQME feature vector.And then the CQME feature vector was used to train the random forest classifier for discriminating genuine speech from spoofing synthetic speech.Experimental results demonstrate that the random forest trained with CQME features achieves high detection performance on the ASVspoof 2019 dataset and exhibites good detection efficacy for unknown types of synthetic speech.Furthermore, the proposed method shows high detection performance even under various noise conditions, having excellent noise robustness.…”
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