Exploring the Balance Between Computational Thinking and Learning Motivation …
Computational thinking (CT) skills are generally regarded as a basic ability for problem-solving and are gradually filtering down to younger age groups. Existing research has attempted to increase …
Global Convergence of Stochastic Gradient Hamiltonian Monte Carlo for Nonconv…
Stochastic gradient Hamiltonian Monte Carlo (SGHMC) is a variant of stochastic gradients with momentum where a controlled and properly scaled Gaussian noise is added to the stochastic gradients to …
Instance-Invariant Domain Adaptive Object Detection Via Progressive Disentang…
Most state-of-the-art methods of object detection suffer from poor generalization ability when the training and test data are from different domains. To address this problem, previous methods mainl…
Competition and Distortion : A Theory of Information Bias on the Peer-to-Peer…
Despite the popular emergence of peer-to-peer (P2P) lending platforms, relevant research investigating the role of these platforms on P2P markets still lags. In this paper, we present a model to st…
On-Chip Integration of III-Nitride Flip-Chip Light-Emitting Diodes With Photo…
The fabrication of GaN light-emitting diodes (LEDs) with on-chip photodetectors (PDs) based on flip-chip configuration is reported. The exposed sapphire plays a key role not only in light extractio…
Linearly Implicit Energy-preserving Fourier Pseudospectral Schemes For The Co…
We propose two linearly implicit energy-preserving schemes for the complex modified Korteweg–de Vries equation, based on the invariant energy quadratization method. First, a new variable is intro…
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