A5101479917- Indoor and Outdoor Localization Technologies
- Acupuncture Treatment Research Studies
- Robotics and Sensor-Based Localization
- Robot Manipulation and Learning
- Hand Gesture Recognition Systems
- Human Motion and Animation
- Healthcare and Venom Research
- Fault Detection and Control Systems
- Medical Research and Treatments
- Educational Reforms and Innovations
- Heart Rate Variability and Autonomic Control
- Gait Recognition and Analysis
- Human Pose and Action Recognition
- Soft Robotics and Applications
- Adaptive Control of Nonlinear Systems
- Chinese history and philosophy
- Inertial Sensor and Navigation
- Traditional Chinese Medicine Studies
- Video Analysis and Summarization
- Alzheimer's disease research and treatments
- Regional Development and Environment
- Thermoregulation and physiological responses
- Insect and Pesticide Research
- Cardiovascular Function and Risk Factors
- Neural dynamics and brain function
Tianjin University of Traditional Chinese Medicine
2024-2025
Yangzhou University
2025
First Affiliated Hospital of Zhengzhou University
2024
Sichuan University
2024
Chinese Academy of Medical Sciences & Peking Union Medical College
2014-2024
Heilongjiang Electric Power Workers University
2024
Harbin Electric Corporation (China)
2023-2024
West China Hospital of Sichuan University
2024
Shanghai University
2024
Shandong Academy of Sciences
2024
// Shuang Wang 1, * , Xiao-Ming Meng Yee-Yung Ng 2, Frank Y. Ma 3 Zhou 1 Yang Zhang Chen Xiao-Ru Huang Jun Xiao Ying-Ying Shuk-Man Ka Yong-Jiang Tang Arthur C.K. Chung Ka-Fai To David J. Nikolic-Paterson Hui-Yao Lan Li Shing Institute of Health Sciences, Departments Medicine and Therapeutics, Chemical Pathology, Anatomical Cellular The Chinese University Hong Kong, Kong SAR, China 2 Division Nephrology, Department Medicine, Clinical Taipei Veterans General Hospital, National Ming University,...
Grasping is critical for intelligent robots to accomplish sophisticated tasks. Even with multimodal sensor fusion, accurately and reliably estimating grasp poses complex-shaped objects remains a challenge. In this paper, we design vision-based grasping platform more general case, that is, variety of by simple parallel gripper the detection model consuming RGB sensing or depth sensing. Focusing on pose estimation part, propose deep detector uses densely connected Feature Pyramid Network (FPN)...
Robot grasp estimation in an unstructured environment for complex objects is a challenging and not solved topic. In this article, we propose novel pose detection deep model that can generate poses unknown using single RGB or depth image. By regarding the as rotated bounding boxes image plane, design efficient single-stage anchor-free fully convolutional style generation model, which outputs six-channel representing keypoints corresponding geometries of rectangles. Our generates enormous...
Importance Electronic cigarettes (ECs) are often used by smokers as an aid to stopping smoking, but evidence is limited regarding their efficacy compared with nicotine replacement therapy (NRT), and no available on how compares that of varenicline. Objective To evaluate whether ECs superior NRT noninferior varenicline in helping quit. Design, Setting, Participants This was a randomized clinical trial conducted at 7 sites China including participants who were smoking least 10 per day...
Style is an intrinsic, inescapable part of human motion. It complements the content motion to convey meaning, mood, and personality. Existing state-of-the-art style methods require large quantities example data intensive computational resources at runtime. To ensure output quality, such transfer applications are often run on desktop machine with GPUs significant memory. In this paper, we present a fast expressive neural network-based method that generates stylized quality comparable state...
This paper introduces a hybrid framework for port container throughput forecasting, which is essential in global trade and transportation systems. It uses multidisciplinary method that combines artificial intelligence, link prediction, complex networks. To better grasp the interconnection dynamics of operations, time series data are first transformed using network theory into structure. The applies 13 similarity metrics, encompassing various aspects structural similarity, to form feature set...
Summary of MOF-based aqueous zinc-ion battery electrode materials design strategies.
To further explore the anti-inflammatory components of seeds Dolichos lablab L., a comprehensive phytochemical investigation was conducted using diverse chromatographic and spectrometric technologies, as well chemical reactions. As result, ten previously unreported terpenoid glycosides, namely dolilabterpenosides A, B, C1–C3, D, E, F1–F3 (1–10), along with four known analogues (11–14), initially identified from genus, were obtained. In addition, lipopolysaccharide (LPS)-induced RAW264.7 cell...
To investigate the effect of acupuncture on women with premature ovarian failure (POF), prospective consecutive case series study was applied. 31 POF were included; all patients treated once every other day, three times a week for months. Acupoints, GV 20, 24, GB 13, CV 3, 4, BL 23, 32, ST 25, 28, 29, 36, SP 6, KI and LR selected. Serums FSH, E 2 , LH level, Self‐Rating Anxiety Scale (SAS), Kupperman score measured at baseline end treatment; menstrual cycle recorded during one‐month...
Urotensin II (UII) is implicated in immune inflammatory diseases through its specific high-affinity UT receptor (UTR). Enhanced expression of UII/UTR was recently demonstrated the liver with acute failure (ALF). Here, we analysed relationship between and ALF lipopolysaccharide (LPS)/D-galactosamine (GalN)-challenged mice. Thereafter, investigated effects produced by inhibition system using urantide, a special antagonist UTR, potential molecular mechanisms involved ALF. Urantide administered...
Designing virtual characters that are capable of conveying a sense personality is important for generating realistic experiences, and thus key goal in computer animation research. Though the influence gesture body motion on perception has been studied, little known about which attributes hand pose convey particular traits. Using “Big Five” model as framework evaluating traits, this work examines how variations impact character's personality. As done with facial motion, we first study...
This paper applies Generational Cohort Theory to gain a deeper understanding of attitudes towards, importance and actual travel patterns displayed by four generations people who live in central China. Travel was not part the value set Republican Lost Generations as such they rarely continue see unimportant. Values began change Transition Generation, where members this cohort begin financial wherewithal travel. Value complete with Post 80s generation feel is now normal their life. Theoretical...
In this work, we propose A2DIO, a novel hybrid neural network model with set of carefully designed attention mechanisms for pose invariant inertial odometry. The key idea is to extract both local and global features from the window IMU measurements velocity prediction. A2DIO leverages convolutional (CNN) capture sectional long-short term memory (LSTM) recurrent long-range dependencies. CNN LSTM modules, are embedded better representation. Specifically, in block, convolved refined along...
Hand motion is an important component of human motion, playing a central role in communication. However, it difficult to capture hand optically, especially conjunction with full body motion. Due lack appropriate calibration methods, data gloves also do not provide sufficiently accurate In this paper, we present novel glove approach that can map raw sensor readings both joint rotations and fingertip positions. Our method elegantly handles the coupling problem by treating as flexible mapping...
Data-driven motion research requires effective tools to compress, index, retrieve and reconstruct captured data. In this paper, we present a novel method perform these tasks using deep learning architecture. Our autoencoder, form of artificial neural network, encodes segments into "deep signatures". This signature is formed by concatenating signatures for functionally different parts the body. The highly condensed representation segment, requiring only 20 bytes, yet still encoding high level...
Inertial sensors in smartphones enable the relative state measurements for pedestrian localization without global positioning system (GPS) signals or beacons. Any such navigation method should notice reality that phone is placed at uncontrolled variant poses with respect to human body. In this work, we focus on position estimation from raw inertial measurement unit (IMU) any constraint device carrying manners and propose a novel deep odometry solution. By presenting expression of continuous...