[Research progress on automated insulin delivery system in the field of diabetes management] [0.03%]
糖尿病管理领域自动化胰岛素递送系统研究进展
Zhichao Yu,Yufan Sun,Zhijian Huang et al.
Zhichao Yu et al.
Diabetes and its complications pose a serious threat to human life and health. It has become a public health problem of wide concern worldwide. Currently, diabetes is mainly treated with insulin injection in clinic. However, manual insulin ...
[Applications and prospects of electroencephalography technology in neurorehabilitation assessment and treatment] [0.03%]
脑电图技术在神经康复评定与治疗中的应用及前景
Weizhong He,Dengyu Wang,Qiangfan Meng et al.
Weizhong He et al.
With the high incidence of neurological diseases such as stroke and mental illness, rehabilitation treatments for neurological disorders have received widespread attention. Electroencephalography (EEG) technology, despite its excellent temp...
[Application of optogenetic technology in the research on olfactory bulb neural projection from advanced brain regions to regulate olfactory signal processing] [0.03%]
光遗传学技术在高级脑区对嗅球神经投射调控嗅觉信号处理研究中的应用
Tong Zhou,Yifan Wu,Meng Hu et al.
Tong Zhou et al.
Olfactory bulb is a critical component in encoding and processing olfactory signals, characterized by its intricate neural projections and networks dedicated to this function. It has been found that descending neural projections from the ol...
Hengyuan Yang,Tianwen Li,Lei Zhao et al.
Hengyuan Yang et al.
Brain-computer interface (BCI) is a revolutionizing technology that disrupts traditional human-computer interaction by establishing direct communication and control between the brain and computer, bypassing the peripheral nervous and muscul...
[Study on the protective effects of resveratrol on the liver of hindlimb-unloaded rats] [0.03%]
白藜芦醇对后肢悬吊大鼠肝脏的保护作用研究
Yingying Xuan,Yutian Yang,Hanqin Tang et al.
Yingying Xuan et al.
This study aims to investigate the protective effect of resveratrol against liver injury in hindlimb unloading rats. Thirty 2-month-old male SD rats were randomly divided into normal group (Control), hindlimb unloading model group (Model), ...
[Prediction of MHC II antigen peptide-T cell receptors binding based on foundation model] [0.03%]
[基于基础模型的MHC II抗原肽-T细胞受体结合预测]
Minrui Xu,Siwen Zhang,Manman Lu et al.
Minrui Xu et al.
The specific binding of T cell receptors (TCRs) to antigenic peptides plays a key role in the regulation and mediation of the immune process and provides an essential basis for the development of tumour vaccines. In recent years, studies ha...
[Analysis of the effect of neuromuscular electrical stimulation on corticomuscular coupling during standing balance] [0.03%]
神经肌肉电刺激对站立平衡期间皮质肌耦合影响的分析
Weijie Ke,Zhizeng Luo
Weijie Ke
Neuromuscular electrical stimulation (NMES) has been proven to promote human balance, but research on its impact on motor ability mainly focuses on external physical analysis, with little analysis on the intrinsic neural regulatory mechanis...
[Optimization of centrifugal artificial heart pump blade parameters based on back propagation neural network and grey wolf optimization algorithm] [0.03%]
基于反向传播神经网络和灰狼优化算法的离心式人工心脏泵叶片参数优化研究
Lulu Mu,Huanhuan Duan,Yuan Xiao et al.
Lulu Mu et al.
The impeller, as a key component of artificial heart pumps, experiences high shear stress due to its rapid rotation, which may lead to hemolysis. To enhance the hemolytic performance of artificial heart pumps and identify the optimal combin...
[Identification of kidney stone types by deep learning integrated with radiomics features] [0.03%]
[基于深度学习结合放射组学特征的肾结石类型识别]
Chao Sun,Jun Ni,Jianhe Liu et al.
Chao Sun et al.
Currently, the types of kidney stones before surgery are mainly identified by human beings, which directly leads to the problems of low classification accuracy and inconsistent diagnostic results due to the reliance on human knowledge. To a...
[Cardiac magnetic resonance image segmentation based on lightweight network and knowledge distillation strategy] [0.03%]
基于轻量级网络和知识蒸馏策略的心脏磁共振图像分割
Zeqi Liu,Ning Wang,Chong Zhang et al.
Zeqi Liu et al.
To address the issue of a large number of network parameters and substantial floating-point operations in deep learning networks applied to image segmentation for cardiac magnetic resonance imaging (MRI), this paper proposes a lightweight d...