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Optogenetics-induced activation of glutamate receptors improves memory function in mice with Alzheimer’s disease

Neural Regeneration Research 2019年第12期14卷 2147-2155页

作者： Ke-Wei Wang Xiao-Lin Ye Ting Huang Xi-Fei Yang Liang-Yu Zou Department of Neurology Shenzhen People’s Hospital (First Affiliated Hospital of Southern University of Science and Technology) Second Clinical College Jinan University Shenzhen Guangdong Province China Key Laboratory of Modern Toxicology of Shenzhen Shenzhen Center for Disease Control and Prevention Shenzhen Guangdong Province China

Optogenetics is a combination of optics and genetics technology that can be used to activate or inhibit specific cells in tissues. It has been used to treat Parkinson’s disease, epilepsy and neurological diseases, but rarely Alzheimer’s disease. Adeno-associated virus carrying the CaMK promoter driving the optogenetic channelrhodopsin-2 (CHR2) gene (or without the CHR2 gene, as control) was injected into the bilateral dentate gyri, followed by repeated intrahippocampal injections of soluble low-molecular-weight amyloid-β1–42 peptide (Aβ1–42). Subsequently, the region was stimulated with a 473 nm laser (1–3 ms, 10 Hz, 5 minutes). The novel object recognition test was conducted to test memory function in mice. Immunohistochemical staining was performed to analyze the numbers of NeuN and synapsin Ia/b-positive cells in the hippocampus. Western blot assay was carried out to analyze the expression levels of glial fibrillary acidic protein, NeuN, synapsin Ia/b, metabotropic glutamate receptor-1a (mGluR-1a), mGluR-5, N-methyl-D-aspartate receptor subunit NR1, glutamate receptor 2, interleukin-1β, interleukin-6 and interleukin-10. Optogenetic stimulation improved working and short-term memory in mice with Alzheimer’s disease. This neuroprotective effect was associated with increased expression of NR1, glutamate receptor 2 and mGluR-5 in the hippocampus, and decreased expression of glial fibrillary acidic protein and interleukin-6. Our results show that optogenetics can be used to regulate the neuronal-glial network to ameliorate memory functions in mice with Alzheimer’s disease. The study was approved by the Animal Resources Committee of Jinan University, China (approval No. LL-KT-2011134) on February 28, 2011.

关键词： nerve regeneration Alzheimer's disease amyloid-β1-42 dentate gyrus channelrhodopsin-2 glutamate receptors memory neuroinflammation novel object recognition immunohistochemistry western blot assay neural regeneration

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A New Autonomous Underwater Robotic Fish Designed for Water Quality Monitoring

A New Autonomous Underwater Robotic Fish Designed for Water ...

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2012 International Conference on Modelling,Identification and control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Hui Yu Anwen Shen Liang Peng Department of Control Science and Technology Huazhong University of Science and TechnologyWuhanP.R.China

Due to the water pollution and eutrophication in East Lake in Wuhan, we have developed a novel Autonomous Underwater Robotic Fish (AURF) to patrol the whole lake to perform water quality monitoring *** has two major missions: one is to patrol throughout complex lakes to detect water quality; the other is to monitor the water quality of fixed positions *** paper provides an overview of vehicle design, motion control, positioning, path planning, fault diagnosis and fault tolerant *** test experiment is now undergoing extensive testing in several *** are expecting that this AURF will contribute to solving serious pollution problems occurring in East Lake.

关键词： Robotic Fish Water Quality Monitoring AUV Autonomous

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Research and practice of intelligent coal mine technology systems in China

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International Journal of Coal science & technology 2022年第2期9卷 19-35页

作者： Guofa Wang Huaiwei Ren Guorui Zhao Desheng Zhang Zhiguo Wen Lingyu Meng Shixin Gong Coal Mining and Designing Department Tiandi Science and Technology Co.LtdBeijing 100013China CCTEG Coal Mining Research Institute Co. Ltd.Beijing 100013China China Coal Technology and Engineering Group Corp Beijing 100013China Mining Design Institute China Coal Research InstituteBeijing 100013China Beijing Tianma Intelligent Control Technology Co. Ltd.Beijing 101320China

This study considered the role of coal as China’s basic energy source and examines the development of the coal *** focused on the intelligent development of coal mines,and introduced the“Chinese mode”of intelligent mining in underground coal mines,which uses complete sets of technical equipment to propose classifcation and grading *** view of the basic characteristics and technical requirements of intelligent coal mine systems,we established a digital logic model and propose an information entity and knowledge map construction *** involves an active information push strategy based on a knowledge demand model and an intelligent portfolio modeling and distribution method for collaborative control of coal *** top-level architecture of 5G+intelligent coal mine systems combines intelligent applications such as autonomous intelligent mining,human–machine collaborative rapid tunneling,unmanned auxiliary transportation,closed-loop safety control,lean collaborative operation,and intelligent *** in intelligent mining technology was described in terms of a dynamic modifed geological model,underground 5G network and positioning technology,intelligent control of the mining height and straightness of the longwall working face,and intelligent mining *** development of intelligent coal mines was analyzed in terms of its imbalances,bottlenecks,and the compatibility of large-scale *** ideas for promoting the development of intelligent coal mines were proposed,such as establishing construction standards and technical specifcations,implementing classifcation and grading standards according to mining policy,accelerating key technology research,and building a new management and control model.

关键词： Intelligent coal mine Digital logic model 5G+intelligent coal mine Top-level architecture Application system

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A system structure with trajectory planning and control for robotic dynamic manipulation

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Advanced Robotics 1996年第7期11.0卷 695-711页

作者： Zheng, Xin-Zhi Ono, Kazuya Yamakita, Masaki Katayama, Masazumi Ito, Koji Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology Yokohama 226 Japan Department of Information and Computer Sciences Toyohashi University of Technology Toyohashi 441 Japan Department of Control and System Engineering Tokyo Institute of Technology Tokyo 152 Japan Ishikawajima-Harima Heavy Industries Co. Ltd. Tokyo Japan

We present a control framework for robot systems to perform dynamic manipulation tasks, with robotic batting as an example. A properly preplanned trajectory for manipulators is recognized to be important to increase the probability of success. A nominal path for a manipulator to travelin a swing motion is computed while optimizing the stochastic dynamic manipulability measure to cope with the unpredictable deviation of the ball. A nominal trajectory along the path is then planned in a minimum-time fashion for the benefit of catching the ball as accurately as possible, thebehavior of which is observed visually and estimated on-line. A control structure consisting interpolatively of a path velocity controller to follow the nominal trajectory and a resolved-acceleration-natured ball-deviation compensating controller, together with a ball motion prediction, isproposed. The effectiveness of the proposed approach is examined using computer simulations. The strategy provided in this paper will be useful to make manipulators perform further task requirements better for a wide range of dynamic manipulations. © VSP and Robotics Society of Japan 1998.

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Carboxymethyl-β-cyclodextrin influence on the solubility and toxicity of substituted indole compounds

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Toxicological and Environmental Chemistry 2000年第1-2期76卷 73-81页

作者： Cao, Jiasheng Huang, Liming Zhao, Chunli Xu, Shifen Wang, Xiaodong Wang, Liansheng Pollution Control and Resources Reuse National Key Laboratory Department of Environmental Science and Engineering Nanjing University Nanjing 210093 China Department of Utilization of Energy Resources and Chemical Engineering China University of Mining and Technology Xuzhou 221008 China

The solubilization of eight selected substituted indole compounds (SICs) by carboxymethyl-β-cyclodextrin (CMCD) in water is reported. The results show that their solubility was well improved in CMCD aqueous solution, and the stoichiometry of inclusion complex of the studied SICs with CMCD was 1 : 1. The acute toxicity to Photobacterium phosphoreum of the investigated SICs in CMCD aqueous solutions was also investigated and was compared with that in water. The results show that the toxicity of five studied SICs decreased while the toxicity of the rest three SICs increased in CMCD aqueous solutions, but neither the increase nor the decrease was significant.

关键词： Carboxymethyl-β-cyclodextrin Solubilization Substituted indole compound Toxicity

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Real-time Safety Helmet-wearing Detection Based on Improved YOLOv5

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Computer Systems science & Engineering 2022年第12期43卷 1219-1230页

作者： Yanman Li Jun Zhang Yang Hu Yingnan Zhao Yi Cao NARI Nanjing Control System Ltd. Nanjing210032China School of Computer Nanjing University of Information Science&TechnologyNanjing210044China Department of Electrical and computer Engineering University of WindsorWindsorN9B 3P4Canada

Safety helmet-wearing detection is an essential part of the intelligentmonitoring system. To improve the speed and accuracy of detection, especiallysmall targets and occluded objects, it presents a novel and efficient detectormodel. The underlying core algorithm of this model adopts the YOLOv5 (YouOnly Look Once version 5) network with the best comprehensive detection performance. It is improved by adding an attention mechanism, a CIoU (CompleteIntersection Over Union) Loss function, and the Mish activation function. First,it applies the attention mechanism in the feature extraction. The network can learnthe weight of each channel independently and enhance the information dissemination between features. Second, it adopts CIoU loss function to achieve accuratebounding box regression. Third, it utilizes Mish activation function to improvedetection accuracy and generalization ability. It builds a safety helmet-wearingdetection data set containing more than 10,000 images collected from the Internetfor preprocessing. On the self-made helmet wearing test data set, the averageaccuracy of the helmet detection of the proposed algorithm is 96.7%, which is1.9% higher than that of the YOLOv5 algorithm. It meets the accuracy requirements of the helmet-wearing detection under construction scenarios.

关键词： Safety helmet wearing detection object detection deep learning YOLOv5 Attention Mechanism

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New stability results for switched discrete-time systems with application to consensus problems 55

New stability results for switched discrete-time systems wit...

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55th IEEE Conference on Decision and control, CDC 2016

作者： Lee, Ti-Chung Xia, Weiguo Su, Youfeng Huang, Jie Department of Electrical Engineering Minghsin University of Science and Technology Hsin-Hsing Road Hsin-Fong Hsinchu304 Taiwan School of Control Science and Engineering Dalian University of Technology Dalian China College of Mathematics and Computer Science Fuzhou University Fuzhou China Department of Mechanical and Automation Engineering Chinese University of Hong Kong Hong Kong

ISBN: (纸本)9781509018376

This paper investigates the asymptotic stability of a class of switched linear time-invariant discrete-time systems. Without the restriction of switching signals, a novel result is first proposed to guarantee uniform global asymptotic stability. Then, it is applied to studying some consensus problems of linear multi-agent systems under switching network topology. The proposed result modifies some insufficient condition assumed in a related paper and establishes the exponentially fast convergence rate of the multi-agent system. An interesting example illustrates the effectiveness of the derived results. © 2016 IEEE.

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Weighted Fuzzy Rough Sets Feature Selection for High Dimensional Classification Problems

Weighted Fuzzy Rough Sets Feature Selection for High Dimensi...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Khabusi, Simon Peter Huang, Yo-Ping Vu, Van Phong National Taipei University of Technology Department of Electrical Engineering Taipei10608 Taiwan National Penghu University of Science and Technology Department of Electrical Engineering Penghu88046 Taiwan Ho Chi Minh City University of Technology and Education Department of Automatic Control Ho Chi Minh City71300 Viet Nam

ISBN: (纸本)9781665410205

Feature selection holds significant importance in knowledge mining as it plays a pivotal role in selecting and preserving the most informative features within a dataset while discarding irrelevant, redundant, or noisy attributes. This process contributes to enhancing model performance, reducing computational complexity, and refining interpretability, thus facilitating more accurate and efficient data analysis. In high-dimensional datasets, the necessity for feature selection becomes more pronounced due to the heightened risk of encountering the curse of dimensionality. Therefore, this study proposes a weighted fuzzy rough quickreduct (FRQR) feature selection approach employing feature weights to handle the equal situation problem inherent in FRQR. The proposed method is evaluated on ten publicly available datasets with feature sizes ranging from 2000 to 15154. The selected features are used to train and test random forest candidate models whose estimates are then combined according to the posterior probabilities by Bayesian Model Averaging (BMA). The performance of the model on the selected features is evaluated on four performance metrics. The essentiality of the selected features is further determined by comparing the model classification performance achieved on the non-selected features and all the dataset features. The results indicate competitiveness in the performance metric values achieved on selected features over the other two feature categories affirming the efficacy of the proposed method. © 2024 IEEE.

关键词： Feature Selection

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A New Method for Denoising Underwater Acoustic Signals Based on EEMD,Correlation Coefficient, Permutation Entropy, and Wavelet Threshold Denoising

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Journal of Marine science and Application 2024年第1期23卷 222-237页

作者： Yuyan Zhang Zhixia Yang Xiaoli Du Xiaoyuan Luo Department of Instrument Science and Technology Yanshan University Qinhuangdao 066000 China Department of Control Science and Engineering Yanshan University Qinhuangdao 066000 China

The complexities of the marine environment and the unique characteristics of underwater channels pose challenges in obtaining reliable signals underwater, necessitating the filtration of underwater acoustic noise. Herein, an underwater acoustic signal denoising method based on ensemble empirical mode decomposition (EEMD), correlation coefficient (CC), permutation entropy (PE), and wavelet threshold denoising (WTD) is proposed. Furthermore, simulation experiments are conducted using simulated and real underwater acoustic data. The experimental results reveal that the proposed denoising method outperforms other previous methods in terms of signal-to-noise ratio, root mean square error, and CC. The proposed method eliminates noise and retains valuable information in the signal.

关键词： Ensemble empirical mode decomposition Correlation coefficient Permutation entropy Wavelet threshold denoising Underwater acoustic signal denoising

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The Multiple Criteria Decision-Making Concept Applied to Input-Output Analysis

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IFAC Proceedings Volumes 1987年第9期20卷 607-609页

作者： Wang Shu-ning Chen Ting Department of Automatic Control Engineering Huazhong University of Science and Technology Wuhan Hubei PRC

In this paper, the multi-criteria decision-making concept is applied to classical Leontief 10 (Input-Output) analysis and a hierarchical decision-making structure is considered. A large economic system is decomposed into many subsystems, the higher level DM (decision-maker) can exchange opinions with the DMs of the lower level subsystems to make out a reasonable, feasible production plan for the whole system cooneratively.

关键词： Decision theory economics Input-Output analysis large-scale systems multi-criteria decision-making models

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