Prehospital scale to differentiate intracerebral hemorrhage from large-vessel occlusion patients: a prospective cohort study by A. Freixa-Cruz, G. Jimenez-Jimenez, G. Mauri-Capdevila, Y. Gallego-Sánchez, A. García-Díaz, R. Mitjana-Penella, M. Paul-Arias, C. Pereira-Priego, E. Ruiz-Fernández, S. Salvany-Montserrat, A. Sancho-Saldaña, E. San-Pedro-Murillo, E. Saureu, D. Vázquez-Justes, Francisco Purroy

“…We present the development of a prehospital scale to discriminate between ICH and LVO patients, utilizing easily detectable variables in the prehospital setting.…”
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Osteopenia Metabolomic Biomarkers for Early Warning of Osteoporosis by Jie Wang, Dandan Yan, Suna Wang, Aihua Zhao, Xuhong Hou, Xiaojiao Zheng, Jingyi Guo, Li Shen, Yuqian Bao, Wei Jia, Xiangtian Yu, Cheng Hu, Zhenlin Zhang

“…Metabolites were further selected to identify osteopenia (nine metabolites in females; eight metabolites in males), and their ability to discriminate osteopenia was improved significantly compared to traditional bone turnover markers (BTMs) (female AUC = 0.717, 95% CI 0.547–0.882, versus BTMs: <i>p</i> = 0.036; male AUC = 0.801, 95% CI 0.636–0.966, versus BTMs: <i>p</i> = 0.007). …”
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Development of an easy non‐destructive particle isolation protocol for quality control of red blood cell concentrates by Marine Ghodsi, Anne‐Sophie Cloos, Anaïs Lotens, Marine De Bueger, Patrick Van Der Smissen, Patrick Henriet, Nicolas Cellier, Christophe E. Pierreux, Tomé Najdovski, Donatienne Tyteca

“…It was reproducible, could predict the number of extracellular vesicles obtained with the 20,000 × g protocol and better discriminated between the three vesiculation cohorts than haemolysis at the legal expiry date of 6 weeks. …”
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Extracellular viral microRNAs as biomarkers of virus infection in human cells by Cheryl Chan, Joanne Xin Yi Loh, Wei-Xiang Sin, Denise Bei Lin Teo, Nicholas Kwan Zen Tan, Chandramouli Nagarajan, Yunxin Chen, Francesca Lorraine Wei Inng Lim, Michael E. Birnbaum, Rohan B.H. Williams, Stacy L. Springs

“…Nucleic acid amplification tests (NAATs) have enabled fast and sensitive detection of virus infections but are unable to discriminate between live and dead/inert viral fragments or between latent and reactivated virus infections. …”
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Association of preoperative ultrasonographic parameters of the contralateral kidney with long-term serum creatinine in cats treated for unilateral ureteral obstruction by Diego Pulido Vega, Jérémie Ficheroulle, Jérémie Ficheroulle, Mathieu Manassero, Jeremy Mortier, Christelle Maurey

“…It also appeared as a fair discriminator of long-term IRIS stage IV, with an area under the curve of 0.74. …”
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Stock price prediction with attentive temporal convolution-based generative adversarial network by Ying Liu, Xiaohua Huang, Liwei Xiong, Ruyu Chang, Wenjing Wang, Long Chen

“…This approach employs a GAN framework to generate stock price data using an attentive temporal convolutional network as a generator, whereas a CNN-based discriminator evaluates the authenticity of the data. …”
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Diversity of Picea omorika (Pančić) Purk. Populations Based on Morpho-anatomical Needle Traits and Bioclimatic Parameters by Biljana Nikolić, Nemanja Rajčević, Zorica Mitić, Sanja Jovanović, Nevena Čule, Katarina Mladenović, Marija Marković, Petar Marin

“…Both principal component analysis and discriminant analysis indicated population overlap, while cluster analysis identified three main groups. …”
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Characterization of microbiota signatures in Iberian pig strains using machine learning algorithms by Lamiae Azouggagh, Noelia Ibáñez-Escriche, Marina Martínez-Álvaro, Luis Varona, Joaquim Casellas, Sara Negro, Cristina Casto-Rebollo

“…However, the most genetically distant animals, the purebreds, were more easily discriminated using the ML models. The classification of the two Iberian strains reached the highest mean AUROC of 0.83 using Support Vector Machine (SVM) model. …”
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Integrating the A2DS2 Score with 24-Hour ASPECTS and red cell distribution width for enhanced prediction of stroke-associated pneumonia following intravenous thrombolysis: model de... by Sarawut Krongsut, Nat Na-Ek, Atiwat Soontornpun, Niyada Anusasnee

“…The combined A2DS2-MFP model demonstrated excellent discriminative performance (AuROC: 0.917) compared to the traditional A2DS2 model (AuROC: 0.868) and the model with continuous predictors (AuROC: 0.888). …”
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Utility of Visceral Adiposity Index and Lipid Accumulation Products to Define Metabolically-Unhealthy Polycystic Ovary Syndrome in Asian Indian Women - A Cross Sectional Study by R. A. Shreenidhi, Reeta Mahey, Monika Rajput, Rohitha Cheluvaraju, Ashish D. Upadhyay, Jai Bhagwan Sharma, Garima Kachhawa, Neerja Bhatla

“…Results: VAI and LAP had good ability to correctly discriminate MU-PCOS from MH-PCOS (area under the curve [AUC] [95% confidence interval (CI)]: 0.89 [0.82–0.95]) and (AUC [95% CI [0.81–0.92] =0.86) using ROC, respectively. …”
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Assessing validity and reliability of the Transition Shock Scale for Undergraduate Nursing Students (TSS, Chinese version) in associate degree nursing students by Huiting Weng, Ziwei Ding, Li Yang, Bo Zhang, Yuanyuan Luo, Qin Wang

“…Thus, the TSS (Chinese version) discriminant and concurrent validities were confirmed. …”
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Assessment of Exercise-Induced Dehydration Status Based on Oral Mucosal Moisture in a Field Survey by Gen Tanabe, Tetsuya Hasunuma, Yasuo Takeuchi, Hiroshi Churei, Kairi Hayashi, Kaito Togawa, Naoki Moriya, Toshiaki Ueno

“…Receiver operating characteristic curve analysis revealed that differences in oral mucosal moisture content exhibited discriminative capabilities, with area under the curve values of 0.79 at 1.5% BML and 0.72 at 2% BML. …”
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Association between weight-adjusted waist-index and symptoms of sleep apnea in US adults: results from 2015–2018 national health and nutrition examination survey by Edmore Madondo, Paddington T. Mundagowa, Ayesha Mukhopadhyay, Debra Bartelli, Yu Jiang, Fawaz Mzayek

“…This study investigated the association between WWI and symptoms of sleep apnea among United States adults and compared WWI’s discriminative power with BMI, WtHR, WHR, and WC in the evaluation of symptoms of sleep apnea. …”
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Landslide Susceptibility Mapping Using Single Machine Learning Models: A Case Study from Pithoragarh District, India by Trinh Quoc Ngo, Nguyen Duc Dam, Nadhir Al-Ansari, Mahdis Amiri, Tran Van Phong, Indra Prakash, Hiep Van Le, Hanh Bich Thi Nguyen, Binh Thai Pham

“…In the present study, we have used three single ML models, namely, linear discriminant analysis (LDA), logistic regression (LR), and radial basis function network (RBFN), for landslide susceptibility mapping at Pithoragarh district, as these models are easy to apply and so far they have not been used for landslide study in this area. …”
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ABCD3-I and ABCD2 Scores in a TIA Population with Low Stroke Risk by Fredrik Ildstad, Hanne Ellekjær, Torgeir Wethal, Stian Lydersen, Hild Fjærtoft, Bent Indredavik

“…The ABCD3-I score had limited value in a short-term prediction of subsequent stroke after TIA and did not reliably discriminate between low- and high-risk patients in a long-term follow-up. …”
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CECT-Based Radiomic Nomogram of Different Machine Learning Models for Differentiating Malignant and Benign Solid-Containing Renal Masses by Qian L, Fu B, He H, Liu S, Lu R

“…Furthermore, the radiomic nomogram, which incorporated sex, age, alcohol consumption history, and the radiomic signature, exhibited excellent discriminative performance, yielding an AUC of 0.973 in the training cohort and 0.900 in the test cohort.Conclusion: The radiomic nomogram based on CECT offers a promising and noninvasive approach for distinguishing malignant from benign solid renal masses. …”
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Self-assessment of didactic performance of psychology and education professors in Mexico and Peru by Aldo Bazán-Ramírez, Walter Capa-Luque, Roberto Chávez-Nava, Mónica C. Dávila-Navarro, Homero Ango-Aguilar, Edmundo Hervias-Guerra, Catalina Bello-Vidal

“…Evidence of convergent and discriminant validity was also acceptable. The reliability for the overall score of the questionnaire as well as for the interactive episodes evidenced McDonald’s ordinal alpha and omega coefficients ≥0.94 and H coefficient ≥ 0.95. …”
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Characterising “obesogenic” versus “protective” food consumption, and their value chain among Ghanaian households by Reginald Adjetey Annan, Nana Ama Frimpomaa Agyapong, Robert Aidoo, Charles Apprey, Linda Nana Esi Aduku, Elizabeth C Swart

“…In contrast, most households (about 80%) consumption patterns did not discriminate between obesogenic and protective foods. …”
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Ion Chromatography Based Urine Amino Acid Profiling Applied for Diagnosis of Gastric Cancer by Jing Fan, Jing Hong, Jun-Duo Hu, Jin-Lian Chen

“…A diagnostic model was constructed to discriminate gastric cancer from healthy individuals and another diagnostic model for clinical staging by principal component analysis. …”
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A Novel Convolutional Neural Network-Based Approach for Fault Classification in Photovoltaic Arrays by Farkhanda Aziz, Azhar Ul Haq, Shahzor Ahmad, Yousef Mahmoud, Marium Jalal, Usman Ali

“…Our study also highlights the importance of representative and discriminative features to classify faults (as opposed to the use of raw data), especially in the noisy scenario, where our method achieves the best performance of 70.45&#x0025;. …”
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