Prediction models for high-grade cervical lesions or worse using machine learning. [PDF]
Deng Y +7 more
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dUTPases are involved in balancing the appropriate nucleotide pools. We showed that dUTPase is essential for normal development in zebrafish. The different zebrafish genomes contain several single‐nucleotide variations (SNPs) of the dut gene. One of the dUTPase variants displayed drastically lower protein stability and catalytic efficiency as compared ...
Viktória Perey‐Simon +6 more
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A hybrid machine learning approach for predicting the flexural strength of concrete reinforced with waste aluminium fibres. [PDF]
Boursas F +4 more
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Stable approach based diagonal recurrent quantum neural networks for identification of nonlinear systems. [PDF]
Khalil H, Elshazly O, Shaheen O.
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Optimization of infectious disease intervention measures using reinforcement learning with UK COVID-19 epidemic data. [PDF]
Zhang B, Chen Y, Li H, Zu Z.
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Semi-Quantitative Detection of Borax Adulteration in Wheat Flour Based on Microwave Non-Destructive Testing and Machine Learning. [PDF]
Kang M, Yang J, Ren Y, Bai X.
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The Impact of Adopting Whole-Genome Sequencing for Tuberculosis Diagnosis in China: A Cost-Effectiveness Analysis. [PDF]
He Y +9 more
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Large Language Model Performance and Clinical Reasoning Tasks.
Rao AS +16 more
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Improving Models for Model-Based Testing Based on Exploratory Testing
2014 IEEE 38th International Computer Software and Applications Conference Workshops, 2014Model-based testing facilitates automatic generation of test cases by means of models of the system under test. Correctness and completeness of these models determine the effectiveness of the generated test cases. Critical faults can be missed due to omissions in the models, which are primarily created manually.
Gebizli, C. Ş., Sözer, Hasan
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