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  1. Book ; Online: Advanced Technologies for Position and Navigation under GNSS Signal Challenging or Denied Environments

    Jiang, Changhui / Chen, Yuwei / Meng, Qian / Wu, Panlong / Xu, Bing / Guan, Lianwu / Gao, Wang / Li, Zeyu

    2023  

    Keywords Research & information: general ; Geography ; differential GNSS ; DBA ; low-cost ; combined positioning ; multi-sensor fusion ; visual point and line feature ; SLAM ; LiDAR-visual-inertial odometry ; forest point cloud ; Unmanned Aerial Vehicle (UAV) ; Terrestrial Laser Scanning (TLS) ; canopy cover ; event camera ; feature tracking ; intensity/inertial integration ; pseudorange positioning ; branch and bound ; nonlinear least squares ; eLoran ; trust region reflective algorithm ; initialization ; LiDAR-inertial odometry ; point cloud registration ; visual SLAM ; instance segmentation ; neural network ; pose estimation ; GNSS ; IMU ; urban positioning ; fault detection and exclusion ; LIDAR ; coupling methods ; mobile RTK ; low-cost GNSS receiver ; positioning accuracy ; LiDAR data ; tree characteristics ; terrain conditions ; precision forestry ; TreeNet ; geographic object-based approach ; commercial forests ; step detection ; indoor positioning ; unconstrained state ; peak detectors ; adaptive threshold ; variable sliding window ; visibility graph ; computational geometry ; path planning ; mapping ; tightly-coupled integration ; LIDAR-inertial SLAM ; rod-shaped and planar feature ; sliding-window ; graph optimization framework ; INS/GNSS integrated navigation ; CNN-GRU ; CKF ; GNSS outage ; multi-GNSS ; real-time kinematic ; maximum correntropy criterion ; Kalman filter ; wide-lane ; ionosphere-free ; GNSS/INS ; 3D LiDAR ; fault detection ; localization ; integrity assessment ; cooperation SLAM ; multi robot system ; UAV ; UGV ; map assistance ; particle filter ; global search algorithm ; pedestrian navigation ; Simultaneous Localization and Mapping ; autonomous driving ; high definition map
    Language English
    Size 1 electronic resource (450 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel
    Document type Book ; Online
    Note English
    HBZ-ID HT030376987
    ISBN 9783036576312 ; 3036576312
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Computational Ghost Imaging with the Human Brain

    Gao Wang / Daniele Faccio

    Intelligent Computing, Vol

    2023  Volume 2

    Abstract: Brain–computer interfaces are enabling a range of new possibilities and routes for augmenting human capability. Here, we propose brain–computer interfaces as a route towards forms of computation, i.e., computational imaging, that blend the brain with ... ...

    Abstract Brain–computer interfaces are enabling a range of new possibilities and routes for augmenting human capability. Here, we propose brain–computer interfaces as a route towards forms of computation, i.e., computational imaging, that blend the brain with external silicon processing. We demonstrate ghost imaging of a hidden scene using the human visual system that is combined with an adaptive computational imaging scheme. This is achieved through a projection pattern “carving” technique that relies on real-time feedback from the brain to modify patterns at the light projector, thus enabling more efficient and higher-resolution imaging. This brain–computer connectivity demonstrates a form of augmented human computation that could, in the future, extend the sensing range of human vision and provide new approaches to the study of the neurophysics of human perception. As an example, we illustrate a simple experiment whereby image reconstruction quality is affected by simultaneous conscious processing and readout of the perceived light intensities.
    Keywords Electronic computers. Computer science ; QA75.5-76.95
    Subject code 120
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher American Association for the Advancement of Science (AAAS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Applications of Machine Learning in Alloy Catalysts: Rational Selection and Future Development of Descriptors.

    Yang, Ze / Gao, Wang

    Advanced science (Weinheim, Baden-Wurttemberg, Germany)

    2022  Volume 9, Issue 12, Page(s) e2106043

    Abstract: At present, alloys have broad application prospects in heterogeneous catalysis, due to their various catalytic active sites produced by their vast element combinations and complex geometric structures. However, it is the diverse variables of alloys that ... ...

    Abstract At present, alloys have broad application prospects in heterogeneous catalysis, due to their various catalytic active sites produced by their vast element combinations and complex geometric structures. However, it is the diverse variables of alloys that lead to the difficulty in understanding the structure-property relationship for conventional experimental and theoretical methods. Fortunately, machine learning methods are helpful to address the issue. Machine learning can not only deal with a large number of data rapidly, but also help establish the physical picture of reactions in multidimensional heterogeneous catalysis. The key challenge in machine learning is the exploration of suitable general descriptors to accurately describe various types of alloy catalysts, which help reasonably design catalysts and efficiently screen candidates. In this review, several kinds of machine learning methods commonly used in the design of alloy catalysts is introduced, and the applications of various reactivity descriptors corresponding to different alloy systems is summarized. Importantly, this work clarifies the existing understanding of physical picture of heterogeneous catalysis, and emphasize the significance of rational selection of universal descriptors. Finally, the development of heterogeneous catalytic descriptors for machine learning are presented.
    MeSH term(s) Alloys/chemistry ; Catalysis ; Machine Learning
    Chemical Substances Alloys
    Language English
    Publishing date 2022-03-01
    Publishing country Germany
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 2808093-2
    ISSN 2198-3844 ; 2198-3844
    ISSN (online) 2198-3844
    ISSN 2198-3844
    DOI 10.1002/advs.202106043
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Modulating the Catalytic Properties of Bimetallic Atomic Catalysts: Role of Dangling Bonds and Charging.

    Guan, Xin / Song, Erhong / Gao, Wang

    ChemSusChem

    2023  Volume 16, Issue 10, Page(s) e202202267

    Abstract: Bimetallic atomic catalysts (BACs) exhibit great potential in ... ...

    Abstract Bimetallic atomic catalysts (BACs) exhibit great potential in CO
    Language English
    Publishing date 2023-03-30
    Publishing country Germany
    Document type Journal Article
    ISSN 1864-564X
    ISSN (online) 1864-564X
    DOI 10.1002/cssc.202202267
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Predicting joint toxicity of chemicals by incorporating a weighted descriptor into a mixture model

    Zhuang Wang / Fan Zhang / De-Gao Wang

    Ecotoxicology and Environmental Safety, Vol 236, Iss , Pp 113472- (2022)

    Cases for binary antibiotics and binary nanoparticles

    2022  

    Abstract: A prediction method that integrated a mixture descriptor with an established mixture toxicology method was proposed for the joint toxicity of chemical pollutants. A weighted descriptor derived from the single descriptor of each component was employed to ... ...

    Abstract A prediction method that integrated a mixture descriptor with an established mixture toxicology method was proposed for the joint toxicity of chemical pollutants. A weighted descriptor derived from the single descriptor of each component was employed to calculate a mixture descriptor, which was successfully embedded into the generalized concentration addition (GCA) model named the extended GCA (XGCA) model. To develop and validate the proposed approach, binary antibiotic mixtures (ciprofloxacin and oxytetracycline) and metal-oxide (copper oxide and zinc oxide) nanoparticle mixtures were selected to study their toxicity to freshwater green algae. The results showed that concentration-response curve (CRC) derived from the XGCA model was closer to the observed CRC than those from the GCA, Concentration Addition (CA), and Independent Action (IA) models. The difference between effect concentrations predicted by the XGCA model and observed did not exceed a factor of 1.6. The XGCA model was relatively more accurate at predicting joint toxicity (in terms of effect concentrations and effect errors) than the reference models, independent of component types and mixture ratios. The XGCA model predicts the joint toxicity through molecular structural or nanostructural characters, thus modes of toxic action are not preconditions for predicting the toxicity of the mixtures. This result demonstrates the practicability of using the XGCA method in toxicity assessments of mixture pollutants with unknown modes of action.
    Keywords Combined pollution ; Mixture toxicity ; Concentration Addition ; Independent Action ; QSAR ; Environmental pollution ; TD172-193.5 ; Environmental sciences ; GE1-350
    Subject code 590
    Language English
    Publishing date 2022-05-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Waterlogging faced by bulbil expansion improved the growth of Pinellia ternata and its effect reinforced by brassinolide.

    Wu, Dengyun / Zhang, Dan / Geng, Zixin / Gao, Wang / Tong, Mengting / Chu, Jianzhou / Yao, Xiaoqin

    Plant physiology and biochemistry : PPB

    2024  Volume 207, Page(s) 108377

    Abstract: The bulbil expansion of P. ternata is a key period for its yield formation, and the process of bulbil expansion is often subjected to short-term heavy precipitation. It is not clear whether the short-term waterlogging can affect bulbil expansion. ... ...

    Abstract The bulbil expansion of P. ternata is a key period for its yield formation, and the process of bulbil expansion is often subjected to short-term heavy precipitation. It is not clear whether the short-term waterlogging can affect bulbil expansion. Brassinolide (BR) is widely believed to enhance plant tolerance to abiotic stress. The study investigated the effects of normal water (C), waterlogging (W), waterlogging + BR (W + B), waterlogging + propiconazole (W + P) on P. ternata at the bulbil expansion period in order to assess P. ternata's ability to cope with waterlogging during the bulbil expansion stage and the regulation effects of BR on the process. The biomass of P. ternata was significantly increased after waterlogging. W treatment significantly reduced the H
    MeSH term(s) Antioxidants/pharmacology ; Pinellia/physiology ; Hydrogen Peroxide ; Brassinosteroids/pharmacology ; Steroids, Heterocyclic
    Chemical Substances Antioxidants ; brassinolide (Y9IQ1L53OX) ; Hydrogen Peroxide (BBX060AN9V) ; Brassinosteroids ; Steroids, Heterocyclic
    Language English
    Publishing date 2024-01-20
    Publishing country France
    Document type Journal Article
    ZDB-ID 742978-2
    ISSN 1873-2690 ; 0981-9428
    ISSN (online) 1873-2690
    ISSN 0981-9428
    DOI 10.1016/j.plaphy.2024.108377
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Effect of mechanical ventilation under intubation on respiratory tract change of bacterial count and alteration of bacterial flora.

    Xue-Meng, Chen / Gao-Wang, Liu / Xiao-Mei, Ling / Fan-Fang, Zeng / Jin-Fang, Xiao

    Experimental lung research

    2023  Volume 49, Issue 1, Page(s) 165–177

    Abstract: Background: ...

    Abstract Background:
    MeSH term(s) Humans ; Rats ; Animals ; Respiration, Artificial/adverse effects ; Bacterial Load ; Rats, Sprague-Dawley ; Lung/microbiology ; Pneumonia/etiology ; Intubation, Intratracheal/adverse effects ; Bacteria ; Lung Injury
    Language English
    Publishing date 2023-10-03
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 603791-4
    ISSN 1521-0499 ; 0190-2148
    ISSN (online) 1521-0499
    ISSN 0190-2148
    DOI 10.1080/01902148.2023.2264947
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: A USV-UAV Cooperative Trajectory Planning Algorithm with Hull Dynamic Constraints.

    Huang, Tao / Chen, Zhe / Gao, Wang / Xue, Zhenfeng / Liu, Yong

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 4

    Abstract: Efficient trajectory generation in complex dynamic environments remains an open problem in the operation of an unmanned surface vehicle (USV). The perception of a USV is usually interfered by the swing of the hull and the ambient weather, making it ... ...

    Abstract Efficient trajectory generation in complex dynamic environments remains an open problem in the operation of an unmanned surface vehicle (USV). The perception of a USV is usually interfered by the swing of the hull and the ambient weather, making it challenging to plan optimal USV trajectories. In this paper, a cooperative trajectory planning algorithm for a coupled USV-UAV system is proposed to ensure that a USV can execute a safe and smooth path as it autonomously advances through multi-obstacle maps. Specifically, the unmanned aerial vehicle (UAV) plays the role of a flight sensor, providing real-time global map and obstacle information with a lightweight semantic segmentation network and 3D projection transformation. An initial obstacle avoidance trajectory is generated by a graph-based search method. Concerning the unique under-actuated kinematic characteristics of the USV, a numerical optimization method based on hull dynamic constraints is introduced to make the trajectory easier to be tracked for motion control. Finally, a motion control method based on NMPC with the lowest energy consumption constraint during execution is proposed. Experimental results verify the effectiveness of the whole system, and the generated trajectory is locally optimal for USV with considerable tracking accuracy.
    Language English
    Publishing date 2023-02-07
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23041845
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: The "Hand as Foot" teaching method in shoulder dislocation.

    Gao, Wang / Wang, Jinyan / Sun, Yanhong / Zhang, Guoliang

    Asian journal of surgery

    2022  Volume 45, Issue 9, Page(s) 1703–1704

    MeSH term(s) Foot ; Hand ; Humans ; Lower Extremity ; Shoulder Dislocation/diagnostic imaging ; Shoulder Dislocation/surgery ; Upper Extremity
    Language English
    Publishing date 2022-05-11
    Publishing country China
    Document type Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2022.04.055
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: 3D-printed-guider-assisted fixation of cruciate-ligament tibial avulsion fracture: A new attemp.

    Li, Hongchang / Gao, Wang / Zhang, Guoliang

    Asian journal of surgery

    2022  Volume 45, Issue 8, Page(s) 1571–1572

    MeSH term(s) Fracture Fixation, Internal ; Fractures, Avulsion/diagnostic imaging ; Fractures, Avulsion/surgery ; Humans ; Ligaments/surgery ; Printing, Three-Dimensional ; Suture Techniques ; Tibia/surgery ; Tibial Fractures/diagnostic imaging ; Tibial Fractures/surgery ; Treatment Outcome
    Language English
    Publishing date 2022-04-27
    Publishing country China
    Document type Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2022.04.042
    Database MEDical Literature Analysis and Retrieval System OnLINE

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