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| 1 | Exposure Effects of Terahertz Waves on Primary Neurons and Neuron-like Cells Under Nonthermal Conditions显示文摘Objective This study aimed to explore the potential effects of terahertz(THz) waves on primary cultured neurons from 4 rat brain regions(hippocampus, cerebral cortex, cerebellum, and brainstem)and 3 kinds of neuron-like cells(MN9 D, PC12, and HT22 cells) under nonthermal conditions.Methods THz waves with an output power of 50(0.16 THz) and 10(0.17 THz) m W with exposure times of 6 and 60 min were used in this study. Analysis of temperature change, neurite growth, cell membrane roughness, micromorphology, neurotransmitters and synaptic-related proteins(SYN and PSD95) was used to evaluate the potential effects.Results Temperature increase caused by the THz wave was negligible. THz waves induced significant neurotransmitter changes in primary hippocampal, cerebellar, and brainstem neurons and in MN9 D and PC12 cells. THz wave downregulated SYN expression in primary hippocampal neurons and downregulated PSD95 expression in primary cortical neurons.Conclusion Different types of cells responded differently after THz wave exposure, and primary hippocampal and cortical neurons and MN9 D cells were relatively sensitive to the THz waves. The biological effects were positively correlated with the exposure time of the THz waves. | TAN Sheng Zhi TAN Peng Cheng LUO Lan Qing CHI Yun Liang YANG Zi Long ZHAO Xue Long ZHAO Li DONG Ji ZHANG Jing YAO Bin Wei XU Xin Ping TIAN Guang CHEN Jian Kui WANG Hui PENG Rui Yun | 2019 | Biomedical and Environmental Sciences2019，32，10： | 5 |
| 2 | Mesenchymal stem cell seeded knitted silk sling for the treatment of stress urinary incontinence显示文摘 | Xiao Hui Zou Yun Long Zhi Xiao Chen Hang Mei Jin Lin Lin Wang Yang Zi Jiang Zi Yin Hong Wei Ouyang | 2010 | Biomaterials2010，，18： | 1 |
| 3 | Mesenchymal stem cell seeded knitted silk sling for the treatment of stress urinary incontinence显示文摘 | Xiao Hui Zou Yun Long Zhi Xiao Chen Hang Mei Jin Lin Lin Wang Yang Zi Jiang Zi Yin Hong Wei Ouyang | 2010 | Biomaterials2010，，18： | 1 |
| 4 | Mesenchymal stem cell seeded knitted silk sling for the treatment of stress urinary incontinence显示文摘 | Xiao Hui Zou Yun Long Zhi Xiao Chen Hang Mei Jin Lin Lin Wang Yang Zi Jiang Zi Yin Hong Wei Ouyang | 2010 | Biomaterials2010，，18： | 1 |
| 5 | Aberrant expression of sonic hedgehog pathway in colon cancer and melanosis coli显示文摘 | Zhong Chuan Wang Jun Gao Shu Ming Zi Ming Yang Peng Du Long Cui | 2013 | Journal of Digestive Diseases2013，，8： | 1 |
| 6 | Release of Endogenous Brain-derived Neurotrophic Factor into the Lateral Entorhinal Cortex from the Paraventricular Thalamus Ameliorates Social Memory Deficits in a Mouse Model of Alzheimer’s Disease显示文摘Dear Editor,Alzheimer's disease(AD)is one of the most devastating neurodegenerative disorders and the most common form of dementia.Synaptic loss is a hallmark of AD pathology and exacerbates cognitive impairment[1].Synaptic loss,unlike neuronal loss,is reversible due to the highly dynamic properties of synapses. | Yun‑Long Xu Lin Zhu Zi‑Jun Chen Xiao‑Fei Deng Pei‑Dong Liu Shan Li Bing‑Chun Lin Chuan‑Zhong Yang Wei Xu Kui-Kui Zhou Ying‑Jie Zhu | 2022 | Neuroscience Bulletin2022，38，11： | 0 |
| 7 | Sparse Autoencoder-based Multi-head Deep Neural Networks for Machinery Fault Diagnostics with Detection of Novelties显示文摘Supervised fault diagnosis typically assumes that all the types of machinery failures are known.However,in practice unknown types of defect,i.e.,novelties,may occur,whose detection is a challenging task.In this paper,a novel fault diagnostic method is developed for both diagnostics and detection of novelties.To this end,a sparse autoencoder-based multi-head Deep Neural Network(DNN)is presented to jointly learn a shared encoding representation for both unsupervised reconstruction and supervised classification of the monitoring data.The detection of novelties is based on the reconstruction error.Moreover,the computational burden is reduced by directly training the multi-head DNN with rectified linear unit activation function,instead of performing the pre-training and fine-tuning phases required for classical DNNs.The addressed method is applied to a benchmark bearing case study and to experimental data acquired from a delta 3D printer.The results show that its performance is satisfactory both in detection of novelties and fault diagnosis,outperforming other state-of-the-art methods.This research proposes a novel fault diagnostics method which can not only diagnose the known type of defect,but also detect unknown types of defects. | Zhe Yang Dejan Gjorgjevikj Jianyu Long Yanyang Zi Shaohui Zhang Chuan Li | 2021 | Chinese Journal of Mechanical Engineering2021，34，3： | 0 |
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