3篇
您的检索式：作者名="Haoxiang Yuan"
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| 1 | Concentration of circulating microparticles:a new biomarker of acute heart failure after cardiac surgery with cardiopulmonary bypass显示文摘Acute heart failure(AHF)is a severe complication after cardiac surgery with cardiopulmonary bypass(CPB).Although some AHF biomarkers have been used in clinic,they have limitations when applied in the prediction and diagnosis of AHF after cardiac surgery with CPB,and there are still no effective and specific biomarkers.We and other researchers have shown that circulating microparticles(MPs)increased in a variety of cardiovascular diseases.However,whether the concentration of circulating MPs could be a new biomarker for AHF after cardiac surgery remains unknown.Here,90 patients undergoing cardiac surgery with CPB and 45 healthy subjects were enrolled.Patients were assigned into AHF(n=14)or non-AHF(n=76)group according to the diagnosis criteria of AHF.The concentrations of circulating MPs were determined before,as well as 12 h and 3 days after operation with nanoparticle tracking analysis technique.MPs concentrations in patients before surgery were significantly higher than those of healthy subjects.Plasma levels of MPs were significantly elevated at 12 h after surgery in patients with AHF,but not in those without AHF,and the circulating MPs concentrations at 12 h after surgery were higher in AHF group compared with non-AHF group.Logistic regression analysis indicated that MPs concentration at postoperative 12 h was an independent risk factor for AHF.The area under receiver operating characteristic curve for MPs concentration at postoperative 12 h was 0.87 and the best cut-off value is 5.20×10~8 particles mL~(–1)with a sensitivity of 93%and a specificity of 70%.These data suggested that the concentration of circulating MPs might be a new biomarker for the occurrence of AHF after cardiac surgery with CPB. | Yuquan Li Haoxiang Yuan Caiyun Chen Chao Chen Jian Ma Yating Chen Yan Li Yupeng Jian Donghong Liu Zhijun Ou Jingsong Ou | 2021 | Science China(Life Sciences)2021，64，1： | 3 |
| 2 | NAS4RRAM: neural network architecture search for inference on RRAM-based accelerators显示文摘The RRAM-based accelerators enable fast and energy-efficient inference for neural networks.However, there are some requirements to deploy neural networks on RRAM-based accelerators, which are not considered in existing neural networks.(1) Because the noise problem and analog-digital converters/digitalanalog converters(ADC/DAC) affect the prediction accuracy, they should be modeled in networks.(2) Because the weights are mapped to the RRAM cells, they should be quantized, and the number of weights is limited by the number of RRAM cells in the accelerator. These requirements motivate us to customize the hardware-friendly network for the RRAM-based accelerator. We take the idea of network architecture search(NAS) to design networks with high prediction accuracy that meet the requirements. We propose a framework called NAS4RRAM to search for the optimal network on the given RRAM-based accelerator. The experiments demonstrate that NAS4RRAM can apply to different RRAM-based accelerators with different scales. The performance of searched networks outperforms the manually designed ResNet. | Zhihang YUAN Jingze LIU Xingchen LI Longhao YAN Haoxiang CHEN Bingzhe WU Yuchao YANG Guangyu SUN | 2021 | Science China(Information Sciences)2021，64，6： | 0 |
| 3 | Bioinspired Multifunctional Self-Sensing Actuated Gradient Hydrogel for Soft-Hard Robot Remote Interaction显示文摘The development of bioinspired gradient hydrogels with self-sensing actuated capabilities for remote interaction with soft-hard robots remains a challenging endeavor. Here, we propose a novel multifunctional self-sensing actuated gradient hydrogel that combines ultrafast actuation and high sensitivity for remote interaction with robotic hand. The gradient network structure, achieved through a wettability difference method involving the rapid precipitation of MoO_(2) nanosheets, introduces hydrophilic disparities between two sides within hydrogel. This distinctive approach bestows the hydrogel with ultrafast thermo-responsive actuation(21° s^(-1)) and enhanced photothermal efficiency(increase by 3.7 ℃ s^(-1) under 808 nm near-infrared). Moreover, the local cross-linking of sodium alginate with Ca^(2+) endows the hydrogel with programmable deformability and information display capabilities. Additionally, the hydrogel exhibits high sensitivity(gauge factor 3.94 within a wide strain range of 600%), fast response times(140 ms) and good cycling stability. Leveraging these exceptional properties, we incorporate the hydrogel into various soft actuators, including soft gripper, artificial iris, and bioinspired jellyfish, as well as wearable electronics capable of precise human motion and physiological signal detection. Furthermore, through the synergistic combination of remarkable actuation and sensitivity, we realize a self-sensing touch bioinspired tongue. Notably, by employing quantitative analysis of actuation-sensing, we realize remote interaction between soft-hard robot via the Internet of Things. The multifunctional self-sensing actuated gradient hydrogel presented in this study provides a new insight for advanced somatosensory materials, self-feedback intelligent soft robots and human–machine interactions. | He Liu Haoxiang Chu Hailiang Yuan Deliang Li Weisi Deng Zhiwei Fu Ruonan Liu Yiying Liu Yixuan Han Yanpeng Wang Yue Zhao Xiaoyu Cui Ye Tian | 2024 | Nano-Micro Letters2024，16，4： | 0 |
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