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Article
Open AccessGender differences in risk factors for ischemic stroke: a longitudinal cohort study in East China
Epidemiological studies of stroke and its risk factors can help develop strategies to prevent stroke. We aimed to explore the current gender-specific prevalence of stroke and associated risk factors.
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Chapter and Conference Paper
All You See Is the Tip of the Iceberg: Distilling Latent Interactions Can Help You Find Treasures
Recommender systems suffer from data sparsity problem severely, which can be attributed to the combined action of various possible causes like: gradually strengthened privacy protection policies, exposure bias...
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Article
Adaptive self-propagation graph convolutional network for recommendation
Graph Convolutional Networks (GCNs) have received a lot of attention in recommender systems due to their powerful representation learning ability on graph data. Depending on whether to combine ego embeddings a...
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Chapter and Conference Paper
Game-Theoretic Randomness for Proof-of-Stake
Many protocols in distributed computing rely on a source of randomness, usually called a random beacon, both for their applicability and security. This is especially true for proof-of-stake blockchain protocol...
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Article
Engineering of electrolyte ion channels in MXene/holey graphene electrodes for superior supercapacitive performances
MXene has given great promises to supercapacitor electrode material due to its high conductivity and redox properties. However, the self-agglomeration of the MXene lamella will reduce its contact area with the...
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Article
Open AccessThe transcription factor CBFB suppresses breast cancer through orchestrating translation and transcription
Translation and transcription are frequently dysregulated in cancer. These two processes are generally regulated by distinct sets of factors. The CBFB gene, which encodes a transcription factor, has recently emer...
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Article
Phase Relationships in the Yb-Co-Fe Ternary System at 803 K
Phase relationships in the Yb-Co-Fe ternary system at 803 K were investigated by x-ray diffraction techniques, with powder metallurgy used for preparation of the samples. It was confirmed that six binary compo...
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Chapter and Conference Paper
Traffic Sign Recognition Based on Convolutional Neural Network
With the progress of science and technology and the development of social economy, intelligent transportation came into being. Traffic signs recognition, as an important part of intelligent traffic, has been w...