Analysis of Quality Differences in Radix Dipsaci before and after Processing with Salt Based on Quantitative Control of HPLC Multi-Indicator Components Combined with Chemometrics by Hangsha Wu, Yue Lv, Rui Tang, Mingfang Zhao, Yafei Li, Feiyang Wei, Changyu Li, Weihong Ge, Weifeng Du

“…Then, the chemometric methods such as principal component analysis (PCA) and fisher discriminant analysis (FDA) were used to evaluate the quality of raw and salt-processed RD. …”
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Diagnostic Sensitivity of Different Reference Bodies When Using Scheimpflug Tomography in a Myopic Population with Keratoconus by Daniel Garcerant, Ignacio Jiménez-Alfaro, Nicolás Alejandre

“…Posterior elevation measured at the thinnest point with a BFTEFE is the best-performing parameter and, therefore, is recommended to discriminate between normal and KC patients within a myopic population.…”
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Mixture of Experts Framework Based on Soft Actor-Critic Algorithm for Highway Decision-Making of Connected and Automated Vehicles by Fuxing Yao, Chao Sun, Bing Lu, Bo Wang, Haiyang Yu

“…This paper proposes a Mixture of Expert method (MoE) based on Soft Actor-Critic (SAC), where the upper-level discriminator dynamically decides whether to activate the lower-level DRL expert or the heuristic expert based on the features of the input state. …”
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Psychometric Properties of Sensory Processing and Self-Regulation Checklist (SPSRC) by Cynthia Y. Y. Lai, Trevor W. K. Yung, Ivan N. B. Gomez, Andrew M. H. Siu

“…The results of the validation and field test analyses suggest that the SPSRC exhibits high internal consistency, good intrarater reliability, and a valid ability to measure and discriminate sensory processing and self-regulation in children aged 3–8 years with and without ASD. …”
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Accuracy of Intensity and Inclinometer Output of Three Activity Monitors for Identification of Sedentary Behavior and Light-Intensity Activity by Lucas J. Carr, Matthew T. Mahar

“…The GT3X+Incl accurately identified anatomical position during 70% of all activities but demonstrated limitations in discriminating between activities of differing intensity. …”
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FEATURES OF TRACE ELEMENT COMPOSITION OF BERYL FROM THE URALIAN IZUMRUDNYE KOPI by A.K. Gavrilchik, S.G. Skublov, E.L. Kotova

“…The content of each element for both crystals coincides in the marginal zones, which have color comparable in intensity and transparency, in spite of different color pattern with a strongly contrasting distribution in the central part. In discriminant diagrams for the identification of emeralds from various world regions, the composition of beryl from the Uralian Izumrudnye Kopi correspond to the field of compositions of the Uralian emeralds or is close to them.…”
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A Hybrid Random Forest and Least Squares Support Vector Machine Model Based on Particle Swarm Optimization Algorithm for Slope Stability Prediction: A Case Study in Sichuan–Tibet H... by Tao Shu, Wei Tao, Haotian Lu, Hao Li, Jingxuan Cao

“…Combined with random forest (RF), particle swarm optimization (PSO), and least squares support vector machine (LSSVM) algorithms, a hybrid prediction model that the RF–PSO–LSSVM model is proposed for identifying slope stability, and its reliability is verified by other prediction models that SVM, logistic regression, decision trees, k-nearest neighbor, naive Bayes, and linear discriminant analysis. Besides, the importance score of each indicator in the prediction of slope stability is discussed by employing the RF algorithm. …”
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An Intelligent Medical Imaging Approach for Various Blood Structure Classifications by Madallah Alruwaili

“…Therefore, in this paper, we extracted and selected blood features by proposing a new feature extraction and selection method named stepwise linear discriminant analysis (SWLDA). SWLDA emphasizes on picking confined features from blood structure images and discerning its class based on reversion value such as partial F value. …”
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Integrating fault detection and classification in microgrids using supervised machine learning considering fault resistance uncertainty by Morteza Barkhi, Javad Pourhossein, Seyed Ali Hosseini

“…The proposed method, which performs fault detection and classification together, just requires local information and functions effectively to discriminate faulty from normal conditions considering different uncertainty of resistance faults. …”
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Turkish validation of a resilience scale from older people’s perspectives: resilience scale for older adults by Seher Palanbek Yavaş, Caner Baysan

“…Construct validity was assessed through confirmatory and exploratory factor analyses, while convergent and discriminant validity were evaluated through the correlation of the scales. …”
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Les bonobos se rappellent-ils la voix de leurs anciens partenaires ? by Florence Levréro, Sumir Keenan, Nicolas Mathevon, Jeroen MG Stevens, Jean Pascal Guéry, Klaus Zuberbühler

“…Our study also suggests that bonobos may cease to discriminate between familiar and unfamiliar individuals after a period of eight years, indicating that voice representations or interest could be limited in time in this species.…”
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Identification and Development of Synovial B-Cell-Related Genes Diagnostic Signature for Rheumatoid Arthritis by Jifeng Tang, Jinfang Xia, Huiming Sheng, Jinpiao Lin

“…The diagnosis model was established, and these gene markers have good discriminative ability for RA. Molecular pathological evaluation confirmed RA patients with high-risk scores presented higher levels of B-cell activation and RA characteristics. …”
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Marital adjustment and quality of life among HIV discordant couples by Subhasis Bhadra, Nupur Tayal

“…It was found that couples faced number of discriminations, stigma, and always had apprehension about disclosure of the HIV positive status to the neighbors, employers, extended family members that impacted quality of life. …”
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Clause order in sentences containing a since- subordinate by Bénédicte GUILLAUME

“…Still, this shift is not strongly discriminative from a semantic point of view, which explains why a causal SC could most of the time be displaced without altering the overall meaning of the sentence. …”
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The Nonmetric Cusp Traits of Maxillary Molars in Tamil Population: A Cross Sectional, Descriptive and Sex Identification study using the Turner Scott dental Anthropology Standards by Jayasankar P. Pillai, Girish Parmar, Jayantkumar M. Vyas, Rajesh Babu

“…Chi-square test was used to test the inter-trait and intra-trait association. The discriminant function analysis was performed to test the potential of the two traits for sex classification. …”
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Looks like home: numerosity, but not spatial frequency guides preference in zebrafish larvae (Danio rerio) by Elisabeth Adam, Mirko Zanon, Andrea Messina, Giorgio Vallortigara

“…We wanted to specifically test if the zebrafish larvae show real numerical abilities or if they rely on a lower-level mechanism—i.e. spatial frequency—to discriminate between two different numerosities. When we matched the spatial frequency in stimuli with different numbers of bars, the larvae reliably selected the higher numerosity. …”
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Detection of mental disorders other than depression with the Edinburgh Postnatal Depression Scale in a sample of pregnant women in northern Mexico by Cosme Alvarado-Esquivel, Antonio Sifuentes-Alvarez, Carlos Salas-Martinez

“…We sought to evaluate the capacity of the Edinburgh Postnatal Depression Scale (EPDS) in discriminating mental disorders other than depression in pregnant women in northern Mexico. …”
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Feature Extraction of Broken Glass Cracks in Road Traffic Accident Site Based on Deep Learning by Shuai Liang

“…In order to improve the discriminative power of the depth descriptor, Hellinger kernel and Principal Component Analysis (PCA) are used to perform nonlinear and linear transformations. …”
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Adversarial subdomain adaptation network for mismatched steganalysis by Lei ZHANG, Hongxia WANG

“…Once data in the training and test sets come from different cover sources, that is, under the condition of cover source mismatch, it usually makes the detection accuracy rate of an outstanding steganalysis model to be reduced.In practical applications, the analyzers need to process images collected from the Internet.However, compared with the training set data, these suspicious images are likely to have completely different capture and processing histories, which may lead to the degradation of steganalysis model.It is also why steganalysis tools are difficult to deploy successfully in the real-world applications.To improve the practical application value of steganalysis methods based on deep learning, test sample information is utilized and domain adaptation method is used to solve the problem of cover source mismatch.Regarding the training set data as the source domain and test set data as the target domain, the detection performance of steganalysis models in the target domain is enhanced by minimizing the discrepancy between the feature distribution of source domain and target domain.ASAN (adversarial subdomain adaptation network) was proposed from the perspective of feature generation on the one hand.The source domain features and target domain features generated by the steganalysis model were required to be as similar as possible, so that the discriminator cannot distinguish which domain the features came from.On the other hand, to reduce the difference of feature distribution between domains, the subdomain adaptation method was adopted to reduce the unexpected change of the distribution of related subdomains.The distance between the cover and stego samples was enlarged effectively to improve the classification accuracy.After testing three steganography algorithms on multiple datasets, it is confirmed that the proposed method can effectively improve the detection accuracy rate of the model in the case of dataset mismatch and algorithm mismatch and it can also reduce the negative impact of the mismatch problem of the model.…”
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Brown Assessment of Beliefs Scale: A Study of Reliability and Validity by Türkan ÖZCAN, Erkan KURU, Yasir ŞAFAK, M. Emrah KARADERE, K. Fatih YAVUZ, M. Hakan TURKÇAPAR

“…To examine BABS Turkish discriminant validity, we used Beck Cognitive Insight Scale, Schedule forAssesing the Three Components of Insight Scale and insight item of Yale-Brown Obsessive Compulsive Scale . …”
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