Alterations in genes associated with cytosolic RNA sensing in whole blood are associated with coronary microvascular disease in SLE by Lihong Huo, Arati Naveen Kumar, Gantsetseg Tumurkhuu, Moumita Bose, Daniel S. Berman, Daniel J. Wallace, Janet Wei, Mariko Ishimori, C. Noel Bairey Merz, Caroline Jefferies

“…Using whole blood RNA samples, we asked whether gene signatures discriminate SLE patients with coronary microvascular dysfunction (CMD) on cardiac MRI (n = 4) from those without (n = 7) and whether any signaling pathway is linked to the underlying pathobiology of SLE CMD. …”
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Reliability and Validity of the Persian Version of the Fatigue Severity Scale in Idiopathic Parkinson’s Disease Patients by Seyed-Mohammad Fereshtehnejad, Hasti Hadizadeh, Farzaneh Farhadi, Gholam Ali Shahidi, Ahmad Delbari, Johan Lökk

“…The total score of the FSS-Per significantly discriminated IPD patients with more severe disability (HY stage > 2) versus those with less severe disease (HY stage ) (AUC = 0.81 (95% CI: 0.72–0.90)). …”
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Sparse Deep Nonnegative Matrix Factorization by Zhenxing Guo, Shihua Zhang

“…Such models are designed to learn localized features or generate more discriminative representations for samples in distinct classes by imposing L1-norm penalty on the columns of certain factors. …”
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ElectromyoFigureic Evaluation of Functional Adaptation of Patients with New Complete Dentures by Kujtim Sh. Shala, Linda J. Dula, Teuta Pustina-Krasniqi, Teuta Bicaj, Enis F. Ahmedi, Zana Lila-Krasniqi, Arlinda Tmava-Dragusha

“…The planimetric indicators of bioelectric activity of masseter and temporalis muscles at maximum physiological loading conditions are significant discriminators of the level of functional adaptation of patients with new complete dentures.…”
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Comparison between the WNBA and WEL: differences and key performance indicators in top women basketball leagues by Jorge Lorenzo Calvo, Rafael Manuel Navarro Barragán, Carlos Serrano Luengo, Guillermo Muñoz Andradas

“…Methodology: Data were collected from the 2018/2019 season in the WNBA and 2019 for the WEL, collected from official statistics. Using Discriminant Analysis, the most relevant variables related to victory during the regular season were obtained. …”
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FcFNet: A Challenge-Based Feature Complementary Fusion Network for RGBT Tracking by Wensheng Wang, Congjian Li, Di Zhang, Huihui Zhou, Mingli Xie, Haoran Zhou, Kun Fu

“…In particular, we first decouple the mixed challenging attributes and adaptively combine features at each layer using the challenge branch fusion module (CBFM), forming more discriminative target representations. Subsequently, we employ two nonshared convolution kernels in each layer and one shared convolution kernel to, respectively, extract individual and common features of different modalities. …”
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Rapid Identification of Pork Adulterated in the Beef and Mutton by Infrared Spectroscopy by Ling Yang, Ting Wu, Yun Liu, Juan Zou, Yunmao Huang, Sarath Babu V., Li Lin

“…The partial least square discriminant analysis (PLS-DA) and support vector machine (SVM) were used to establish identification models. …”
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IL-10 and socs3 Are Predictive Biomarkers of Dengue Hemorrhagic Fever by Lilian Karem Flores-Mendoza, Tania Estrada-Jiménez, Virginia Sedeño-Monge, Margarita Moreno, María del Consuelo Manjarrez, Guadalupe González-Ochoa, Lourdes Millán-Pérez Peña, Julio Reyes-Leyva

“…The cutoff values of socs3 (>199.8-fold), socs1 (<1.94-fold), and IL-10 (>134 pg/ml) have the highest sensitivity and specificity to discriminate between DF and DHF. Conclusion. Simultaneous changes in IL-10 and socs1/socs3 could be used as prognostic biomarkers of dengue severity.…”
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Elevated Plasma Levels of sIL-2R in Complex Regional Pain Syndrome: A Pathogenic Role for T-Lymphocytes? by Krishna D. Bharwani, Maaike Dirckx, Dirk L. Stronks, Willem A. Dik, Marco W. J. Schreurs, Frank J. P. M. Huygen

“…Furthermore, sIL-2R level seems to be a good discriminator between CRPS patients and healthy controls with a high sensitivity (90%) and specificity (89.5%). …”
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Identification and Removal of Light Pollution in Maritime Night-Time Images Based on Spatial Frequency Blocks by Hui Sun, Jingyang Wang, Mingyang Pan, Zongying Liu, Shaoxi Li, Ruolan Zhang, Yang Wei

“…The model includes ResNet-50, an encoder, a decoder, and a discriminator. To enable the model to better remove the influence of light pollution, this study designs a method of first detecting the light pollution area and then removing it. …”
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New Insights on Quality, Safety, Nutritional, and Nutraceutical Properties of Honeydew Honeys from Italy by Andrea Mara, Federica Mainente, Vasiliki Soursou, Yolanda Picó, Iratxe Perales, Asma Ghorab, Gavino Sanna, Isabel Borrás-Linares, Gianni Zoccatelli, Marco Ciulu

“…Multivariate analysis allowed discriminating fir honeydews from the other varieties. …”
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Lipid signature changes of women with gestational diabetes mellitus in response to puerperal exclusive breastfeeding by Jin He, Xiaoxiao Yin, Tingting Yu, Lu Li, Yan Cui, Chen Jiang, Chengping Qiao, Zhijing Miao, Xianwei Cui, Chenbo Ji

“…Subsequently, we identified a panel of three lipids that were strongly associated with breastfeeding, from which we constructed a predictive model with higher discriminating power. Conclusions We generally revealed that lactation during puerperium appears to have favorable effects on diabetogenic risk factors for GDM women. …”
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Early Diagnosis of Alzheimer&#x2019;s Disease Using Adaptive Neuro K-Means Clustering Technique by Karan Kumar, Shweta Agrawal, Isha Suwalka, Celestine Iwendi, Cresantus N. Biamba

“…It achieved a mean accuracy of 99.8%, reducing the Mean Squared Error (MSE) from 2.3 to 0.44 and improving the Discriminative Overlap Index (DOI) and Tissue Clarity (TC) values to 0.435105 and 0.282381, respectively. …”
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Pixel Color Clustering of Multi-Temporally Acquired Digital Photographs of a Rice Canopy by Luminosity-Normalization and Pseudo-Red-Green-Blue Color Imaging by Ryoichi Doi, Chusnul Arif, Budi Indra Setiawan, Masaru Mizoguchi

“…The RGwhtB method could not clearly discriminate between the second vegetative and midseason stages. …”
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Serum Concentrations of Transforming Growth Factor-Beta 1 in Predicting the Occurrence of Diabetic Retinopathy in Juvenile Patients with Type 1 Diabetes Mellitus by Katarzyna Zorena, Ewa Malinowska, Dorota Raczyńska, Małgorzata Myśliwiec, Krystyna Raczyńska

“…The threshold serum TGF-β1 concentrations which had a discriminative ability to predict the presence of DR were calculated using the receiver operating characteristic (ROC) curves analysis and amounted to 443 pg/ml. …”
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Evaluation of volatile safety in children's play mats based on non-targeted screening and risk prioritization by Shuang Liang, Haoyang Shi, Yinhui Yang, Qing Zhang, Zhijuan Wang, Qing Lv

“…The 20 significantly different substances were recognized by partial least squares discriminant analysis (PLS-DA), while the characteristic substances in each type of play mat were determined through clustering heat map and Venn diagram. …”
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Seroprevalence of Toxoplasma gondii in Women Who Have Aborted in Comparison with the Women with Normal Delivery in Ahvaz, Southwest of Iran by J. Saki, N. Mohammadpour, F. Moramezi, S. Khademvatan

“…In order to determine the relationship between Toxoplasma infection and abortion, anti-Toxoplasma IgG avidity and PCR to discriminate between recent and prior infections are recommended.…”
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Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects by Kim Junhyeong, Kim Jae-Yong, Kim Jungmin, Hyeong Yun, Neseli Berkay, You Jong-Bum, Shim Joonsup, Shin Jonghwa, Park Hyo-Hoon, Kurt Hamza

“…Furthermore, we explore state-of-the-art deep learning techniques, involving discriminative models, generative models, and reinforcement learning. …”
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Chemistry Combining Elemental Profile, Stable Isotopic Ratios, and Chemometrics for Fine Classification of a Chinese Herb Licorice (Glycyrrhiza uralensis Fisch.) from 37 Producing... by Zhongying Lu, Chengying Hai, Simin Yan, Lu Xu, Daowang Lu, Yixin Sou, Hengye Chen, Xiaolong Yang, Haiyan Fu, Jian Yang

“…For fine classification, three multiclass strategies, including the traditional one-versus-rest (OVR) and one-versus-one (OVO) strategies and a new ensemble strategy (ES), were combined with two binary classifiers, partial least squares discriminant analysis (PLSDA) and least squares support vector machines (LS-SVM). …”
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Prediction of tuberculosis-specific mortality for older adult patients with pulmonary tuberculosis by Sihua Wang, Ruohua Gu, Pengfei Ren, Yu Chen, Di Wu, Linlin Li

“…The competing risk nomogram for TSM showed good calibration and excellent discriminative ability, achieving a concordance index (c-index) of 0.844 (95% confidence interval [CI]: 0.830–0.857).ConclusionThe Fine and Gray model provided an accurate evaluation of risk factors associated with TSM. …”
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