A measure of the difference between test sets for generating controlled random tests by V. N. Yarmolik, V. V. Petrovskaya, I. Mrozek

“…The main attention is paid to binary test sets, when the task of calculating given difference metric is reduced to the classical assignment problem using the Hungarian algorithm. …”
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Variability of daily feed intake as an indicator of resilience in Pietrain pigs by C. Casto-Rebollo, P. Nuñez, S. Gol, J. Reixach, N. Ibáñez-Escriche

“…Daily feed intake (DFI) is a promising metric for the development of resilience indicators (RIs), as reduced feed consumption is widely recognised as a clinical sign of disease. …”
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Annual change in the distribution and landscape health of mangrove ecosystems in China from 2016 to 2023 with Sentinel imagery by Yuchao Sun, Mingzhen Ye, Bin Ai, Zhenlin Lai, Jun Zhao, Zhuokai Jian, Xinyan Qi

“…To evaluate the landscape health of mangrove reserves, various landscape pattern metrics were synthesized into the Landscape Health Composite Index through the application of the entropy weight method. …”
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A multi-layer neural network-based evaluation of MHD radiative heat transfer in Eyring–Powell fluid model by Muflih Alhazmi, Zahoor Shah, Muhammad Asif Zahoor Raja, Nafisa A. Albasheir, Maryam Jawaid

“…Performances of which are confirmed by metrics like error histograms, mean squared-error (MSE) check-ups, and regression analysis with MSEs all over the interval [10−09 – 10−04] to ensure a sustained model. …”
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Révision de l’espèce Homo erectus (Dubois, 1893) by Valéry Zeitoun

“…Further more mandibles are affiliated to Homo erectus, but there are isolated. Classical definition of Homo erectus is mainly founded on feature from the calvaria. …”
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Development and Validation of a Cost-Effective Machine Learning Model for Screening Potential Rheumatoid Arthritis in Primary Healthcare Clinics by Wu W, Hu X, Yan L, Li Z, Li B, Chen X, Lin Z, Zeng H, Li C, Mo Y, Wu Y, Wang Q

“…Guided by experienced rheumatologists, we built a comprehensive database with 26 clinical features. Using 10 classical machine learning algorithms, we developed screening models. …”
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