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  1. 181

    Divisibility Criteria for Class Numbers of Imaginary Quadratic Fields Whose Discriminant Has Only Two Prime Factors by A. Pekin

    Published 2012-01-01
    “…We will prove a theorem providing sufficient condition for the divisibility of class numbers of certain imaginary quadratic fields by 2g, where g>1 is an integer and the discriminant of such fields has only two prime divisors.…”
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    Personality and cognition: shoal size discrimination performance is related to boldness and sociability among ten freshwater fish species by Shi-Jian Fu, Na Zhang, Jie Fan

    Published 2024-03-01
    “…Notably, the numerical discrimination was sensitive to the numerical contrast ratio in LP species but not in HP species, suggesting that the numerical system used for size discrimination also varied between species. …”
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    The Potential of the Quick Detection of Selectins Using Raman Spectroscopy to Discriminate Lung Cancer Patients from Healthy Subjects by Edyta Wolny-Rokicka, Andrzej Tukiendorf, Jerzy Wydmański, Agnieszka Zembroń-Łacny

    Published 2018-01-01
    “…Then, the ability of the methodology developed to discriminate the existence of lung cancer was also evaluated. …”
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  6. 186

    Current Understanding and Future Prospects of Host Selection, Acceptance, Discrimination, and Regulation of Phorid Fly Parasitoids That Attack Ants by Kaitlyn A. Mathis, Stacy M. Philpott

    Published 2012-01-01
    “…Successful parasitism often involves (a) host habitat location, (b) host location, (c) host acceptance, (d) host discrimination, and (e) host regulation. In this paper we discuss our current understanding of how phorid flies use each of these steps to successfully parasitize ant hosts. …”
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    A Novel Model Using Virtual State Variables and Bayesian Discriminant Analysis to Classify Surrounding Rock Stability by Jinglai Sun, Darui Ren, Yu Song, Mingyuan Yu, Zhaofei Chu, Baoguo Liu, Shaogang Li, Xinyang Guo

    Published 2021-01-01
    “…To accurately classify the stability of surrounding rock masses, a novel method (VSV-BDA) based on virtual state variables (VSVs) and Bayesian discriminant analysis (BDA) is proposed. The factors influencing stability are mapped by an artificial neural network (ANN) capable of recognizing the model of rock mass classification, and the obtained output vector is treated as VSVs, which are verified as obeying a multinormal distribution with equal covariance matrixes by normal distribution testing and constructed statistics. …”
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    Addenbrooke’s Cognitive Examination and Individual Domain Cut-Off Scores for Discriminating between Different Cognitive Subtypes of Parkinson’s Disease by Dagmar Berankova, Eva Janousova, Martina Mrackova, Ilona Eliasova, Milena Kostalova, Svetlana Skutilova, Irena Rektorova

    Published 2015-01-01
    “…The main aim of this study was to verify the sensitivity and specificity of Addenbrooke’s Cognitive Examination-Revised (ACE-R) in discriminating between Parkinson’s disease (PD) with normal cognition (PD-NC) and PD with mild cognitive impairment (PD-MCI) and between PD-MCI and PD with dementia (PD-D). …”
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    Performance evaluation of brain state discrimination using near-infrared spectroscopy for brain-computer interface: an exploratory case study by Akira Masuo, Takuto Sakuma, Shohei Kato

    Published 2024-06-01
    “…These results indicate that this method can discriminate the brain state of a patient with quadriplegia from the NIRS signal. …”
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  14. 194

    Cross-Modality 2D-3D Face Recognition via Multiview Smooth Discriminant Analysis Based on ELM by Yi Jin, Jiuwen Cao, Qiuqi Ruan, Xueqiao Wang

    Published 2014-01-01
    “…In this paper, we propose a new approach for cross-modality 2D-3D face recognition (FR), which is called Multiview Smooth Discriminant Analysis (MSDA) based on Extreme Learning Machines (ELM). …”
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    Multiscale Region-Level VHR Image Change Detection via Sparse Change Descriptor and Robust Discriminative Dictionary Learning by Yuan Xu, Kun Ding, Chunlei Huo, Zisha Zhong, Haichang Li, Chunhong Pan

    Published 2015-01-01
    “…Very high resolution (VHR) image change detection is challenging due to the low discriminative ability of change feature and the difficulty of change decision in utilizing the multilevel contextual information. …”
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