Application of an Improved 2-Dimensional High-Throughput Soybean Root Phenotyping Platform to Identify Novel Genetic Variants Regulating Root Architecture Traits

Nutrient-efficient root system architecture (RSA) is becoming an important breeding objective for generating crop varieties with improved nutrient and water acquisition efficiency.Genetic variants shaping soybean RSA is key in improving nutrient and water acquisition.Here, we report on the use of an improved 2-dimensional high-throughput root pheno

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A macroscopic traffic flow modelling and collision avoidance using B-spline and Physics-Informed Neural Network approaches

The macroscopic model, such as the Lighthill-Whitham-Richards (LWR), has been extensively studied and applied to various homogeneous traffic problems.However, numerical methods have been widely used with good performance.The outcome of this work is the proposal of a one-dimensional speed-density model.We applied both the B-spline collocation and th

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