CRISPR-guided epigenetic editing is site specific and stable
Initially, we aimed to modify DNAm in a genomic region within phosphodiesterase 4C (PDE4C), which was identified as one of the first sites to gain age-associated DNAm across different…
Initially, we aimed to modify DNAm in a genomic region within phosphodiesterase 4C (PDE4C), which was identified as one of the first sites to gain age-associated DNAm across different…
Kwoh, Y. S., Hou, J., Jonckheere, E. A. & Hayati, S. A robot with improved absolute positing accuracy for CT guided stereotactic brain surgery. IEEE Trans. Boimed Eng. 35, 153–160 (1988).
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“The Alhambra palace, overlooking Granada in southern Spain, is one of the finest preserved examples of Moorish architecture, dating back to the thirteenth century. I’m employed by the palace’s management body to study the biodiversity in…
We followed the Reporting in Vivo Experiments (ARRIVE) guidelines developed by the National Centre for the Replacement, Refinement & Reduction of Animals in Research (NC3Rs). We also followed “The Act on Welfare and Management…
The Unitree Go1 quadruped robot is used as the robot platform in simulation and real-world experiments. The Go1 robots weighs 12 kg with a dimension of around 645 \(\times\) 280 \(\times\) 400 mm while…
From the lab to a career in decision science
The proposed PSO-Transformer-LSTM model is a hybrid architecture that integrates the advantages of the transformer model, the LSTM network and the particle swarm optimization (PSO) algorithm. This section describes the main components of the…
The objective of this study was to examine the effects of intravenously injected OCN on the wild-type mouse brain by multiparametric MRI. Female C57BL/6J mice (n = 32) were randomly divided into a control group that received…
In this section, the experiment configurations and results using the Z-DCE-DNet for Underground Mine image enhancement are presented. Firstly, the PyTorch deep learning framework was used, running on an NVIDIA GeForce RTX 1650 GPU, applied to…
LLMs, being deep neural networks, have several layers, including self-attention mechanisms, feedforward networks, and embedding layers, all of which require significant amounts of memory and computation. The self-attention mechanism, for example,…