Psychometric properties of the Chinese-version Behavioral Inhibition System/Behavioral Activation System Scales among stroke survivors with depressive symptoms by Dan Shi, Yuen Yu Chong, Lijuan Zhou, Ho Yu Cheng

“…The findings of CFAs supported the original four-factor structure of BAS-reward, BAS-drive, BAS-fun seeking, and BIS with acceptable model fit indices. Discriminative validity, assessed via known-group analysis, indicated that stroke survivors with probable depression had significantly lower mean BAS-reward, BAS-drive, and BAS-fun seeking scores (P < 0.001) and a higher mean BIS score (P = 0.028) compared to those without probable depression. …”
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Genetic diversity of the Algerian peanut population analyzed using morphological markers and seed storage proteins by H. Djeghim, I. Bellil, D. Khelifi

“…Results showed that leaflet size (length and width), seed shape and size, oil content, and branching pattern were the principal characters to discriminate the screened A. hypogaea accessions. In addition to that, the weights of 10 pods and 100 seeds were the most variable traits and presented a CV of 42.53% and 40.12%, respectively. …”
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Machine learning assisted classification RASAR modeling for the nephrotoxicity potential of a curated set of orally active drugs by Arkaprava Banerjee, Kunal Roy

“…Using the chemical spaces defined by the modeling descriptors and fingerprints, the similarity and error-based RASAR descriptors were computed, and the most discriminating RASAR descriptors were used to develop another set of 18 different ML c-RASAR models. …”
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Cerebral compliance assessment from intracranial pressure waveform analysis: Is a positional shift-related increase in intracranial pressure predictable? by Donatien Legé, Pierre-Henri Murgat, Russell Chabanne, Kevin Lagarde, Clément Magand, Jean-François Payen, Marion Prud'homme, Yoann Launey, Laurent Gergelé

“…A logistic regression model fed with a combination of 5 ICP signal features discriminated the "poor ICC" class with an area under the receiving operator curve (AUROC) of 0.80 (95%-CI: [0.73-0.87]). …”
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The Microbiota Profile Analysis of Combined Periodontal-Endodontic Lesions Using 16S rRNA Next-Generation Sequencing by Ping Sun, Zhiyong Guo, Daiping Guo, Jian Wang, Tingting Wu, Tingjun Li, Jiannan Liu, Xinhua Liu

“…A total of 57 qualified samples were collected from 48 patients and analyzed (7 PE, 21 PU, and 19 RE). By linear discriminant analysis effect size, Kingella and Barnesiella were significantly increased in the periodontal pocket of retrograde pulpitis (RE-PE), compared with PE. …”
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Brown Assessment of Beliefs Scale: A Study of Reliability and Validity by T&uuml;rkan &Ouml;ZCAN, Erkan KURU, Yasir &THORN;AFAK, M. Emrah KARADERE, K. Fatih YAVUZ, M. Hakan TURK&Ccedil;APAR

“…To examine BABS Turkish discriminant validity, we used Beck Cognitive Insight Scale, Schedule for Assesing the Three Components of Insight Scale and insight item of Yale-Brown Obsessive Compulsive Scale . …”
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A mini-review of sub-populations missing in the malaria control loop by Celina Onyawoibi Aju-Ameh

“…Conclusion: Malaria does not discriminate, and is said to rebound with a vengeance. …”
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Investigating challenges and opportunities to achieve SDG 6: a study of Benin City, Nigeria by Ruth Ogbonmwan, Furat Al-Faraj

“…A large percent of the residents indicated to have felt discriminated regarding water and sanitation because of their socio level. …”
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Speech Enhancement Using Joint DNN-NMF Model Learned with Multi-Objective Frequency Differential Spectrum Loss Function by Matin Pashaian, Sanaz Seyedin

“…Moreover, a DNN-based noise classification and fusion strategy (NCF) is proposed to exploit a discriminative model for noise reduction. The experiments reveal the improvements of the proposed approach compared to the previous methods.…”
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Pixel-Level Recognition of Pavement Distresses Based on U-Net by Deru Li, Zhongdong Duan, Xiaoyang Hu, Dongchang Zhang

“…Data augmentation, batch normalization, momentum, transfer learning, and discriminative learning rates are used to train the model. …”
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Palmprint recognition based on the line feature local tri‐directional patterns by Mengwen Li, Huabin Wang, Huaiyu Liu, Qianqian Meng

“…The LFLTriDP features are refined to generate two feature vectors by the concavity to enhance the discriminability. The matching scores of the two feature vectors are weighted differently in the matching stage to reduce intra‐class distance and increase inter‐class distance. …”
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Monitoring Sea Ice in Liaodong Bay of Bohai Sea during the Freezing Period of 2017/2018 Using Sentinel-2 Remote Sensing Data by Zhiyong Wang, Peilei Sun, Lihua Wang, Mengyue Zhang, Zihao Wang

“…Compared with the maximum likelihood (ML) classification method and the support vector machine (SVM) classification method, the proposed method has higher accuracy when discriminating the sea ice types, which proved the new method proposed in this paper is suitable for extracting sea ice types from Sentinel-2 optical remote sensing data in Liaodong Bay. …”
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Feature selection based on Mahalanobis distance for early Parkinson disease classification by Mustafa Noaman Kadhim, Dhiah Al-Shammary, Ahmed M. Mahdi, Ayman Ibaida

“…Features with larger Mahalanobis distances are deemed more relevant as they exhibit greater discriminative power relative to the dataset's distribution, aiding in effective feature subset selection. …”
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Shell colour luminance of Cuban painted snails, Polymita picta and Polymita muscarum (Gastropoda: Cepolidae). by Mario Juan Gordillo-Pérez, Natalie Beenaerts, Dunia L Sánchez, Karen Smeets, Yaumel Calixto Arias-Sosa, Bernardo Reyes-Tur

“…The variation in shell colour luminance is characterized in the threatened endemic Eastern Cuban tree snails Polymita picta and Polymita muscarum using digital tools; being able to discriminate shell luminance between colour morphs for both species, under different image-taking conditions. …”
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Reduced Gain and Shortened Time Constant of Vestibular Velocity Storage as a Source of Balance and Movement Sensitivities in Gravitational Insecurity by Michael Potegal, Teresa A. May-Benson, Sara Oxborough, Amy Hall, Stefanie McKnight

“…The PGrI showed approximated test-retest reliability and convergent and discriminant validity. When only vestibular input was available, mild GrI participants on a tilting platform used effortful hip strategies for balance significantly more than did comparison participants. …”
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Predictors of Long-Time Survivors in Nonmetastatic Colorectal Signet Ring Cell Carcinoma: A Large Population-Based Study by Wuguang Zhang, Wenqian Gong, Changhai Wu, Mengting Li, Xiaolong Tu

“…In terms of the model performance, the calibration curve revealed good agreement between observed and predicted probability of LTSs, and receiving operator characteristic curve showed acceptable discriminative capacity in the training and validation cohorts. …”
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Machine Learning- and Feature Selection-Enabled Framework for Accurate Crop Yield Prediction by Sandeep Gupta, Angelina Geetha, K. Sakthidasan Sankaran, Abu Sarwar Zamani, Mahyudin Ritonga, Roop Raj, Samrat Ray, Hussien Sobahi Mohammed

“…Features are extracted using the linear discriminant analysis algorithm. Machine learning predictors, namely, particle swarm optimization-support vector machine (PSO-SVM), K-nearest neighbor, and random forest, are used for classification.…”
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Evolution of the Macrophage CD163 Phenotype and Cytokine Profiles in a Human Model of Resolving Inflammation by Betsy J. Evans, Dorian O. Haskard, Gregory Sempowksi, R. Clive Landis

“…Our results demonstrate that the phases of inflammation and resolution can be discriminated in a two-day model of dermal wound healing. …”
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Validation of the Arabic Version of Medication Regimen Complexity Index Among Older Patients - Validation of the “MRCI-Arabic” by Nilay Aksoy, Nur Ozturk, Betul Okuyan, Mesut Sancar

“…The difference in the score of pharmaceutical regimen complexity in stratified age groups was used to examine discriminant validity. Results: The inter-rater and test-retest reliability of the MRCI-Arabic total scale and its subsection were extremely high (Spearman’s rho ranged from 0.996 to 1; p <0.001). …”
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Phenomic characterization of Crotalaria germplasm for crop improvement by Joshua Kiilu Muli, Johnstone O. Neondo, Peter K. Kamau, Eddy Odari, Nancy L. M. Budambula

“…The Pearson’s correlation coefficients were used to determine the relationships between qualitative and quantitative traits while the principal component analysis was used to discriminate the accessions. Results Three edible species (C. brevidens Benth., C. ochroleuca G.Don, C. trichotoma Bojer.) were found to be cultivated by Kenyan farmers and a significant variation (p < 0.0001) for all parameters under study was recorded. …”
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