Showing 301 - 320 results of 10,539 for search 'Cactuar~', query time: 4.21s Refine Results
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    Micronutrient levels of global tropical reef fish communities differ from fisheries capture by Conor Waldock, Eva Maire, Camille Albouy, Vania Andreoli, Maria Beger, Thomas Claverie, Katie L. Cramer, David A. Feary, Sebastian C. A. Ferse, Andrew Hoey, Nicolas Loiseau, M. Aaron MacNeil, Matthew McLean, Camille Mellin, Simon Ahouansou Montcho, Maria Lourdes Palomares, Santiago de laPuente, Mark Tupper, Shaun Wilson, Laure Velez, Jessica Zamborain‐Mason, Dirk Zeller, David Mouillot, Loïc Pellissier

    Published 2025-01-01
    “…Abstract The exceptional diversity of shallow‐water marine fishes contributes to the nutrition of millions of people worldwide through coastal wild‐capture fisheries, with different species having diverse nutritional profiles. …”
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    Design and Test of Dual Actuator Nose Wheel Steering System for Large Civil Aircraft by Ming Zhang, Rongmin Jiang, Hong Nie

    Published 2016-01-01
    “…A following swivel selector valve is firstly designed to meet the demand for the hydraulic pressure commutating as soon as the dual actuator nose wheel steering mechanism passes through its dead center position. …”
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    Bifurcation Type Change of AC Electrostatically Actuated MEMS Resonators due to DC Bias by Dumitru I. Caruntu, Kyle N. Taylor

    Published 2014-01-01
    “…This paper investigates the nonlinear response of microelectromechanical system (MEMS) cantilever resonator electrostatically actuated by applying a soft alternating current (AC) voltage and an even softer direct current (DC) voltage between the resonators and a parallel fixed ground plate. …”
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    Capture of 3D Human Motion Pose in Virtual Reality Based on Video Recognition by Qiang Fu, Xingui Zhang, Jinxiu Xu, Haimin Zhang

    Published 2020-01-01
    “…The experiment shows that the studied motion posture capture method has better performance. The human body motion gesture is designed for capturing experiments, and the capture results show that the obtained pose angle information can better restore the human body motion. …”
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  11. 311

    Application of a Stress-Fractional Model for Capturing the Stress-Strain Behavior of Granular Soils by Wei Lu, Jiangong Yang, Jinan Wang

    Published 2021-01-01
    “…This study presents the development and application of a stress-fractional model for granular soils with different initial material states. To capture the plastic loading and flow behaviors, a subloading surface with the fractional stress gradient is used. …”
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    Impact of Thorium Capture Cross Section Uncertainty on the Thorium Utilized ADS Reactivity Calculation by Thanh Mai Vu, Takanori Kitada

    Published 2014-01-01
    “…The uncertainty of the keff caused by 232Th capture cross section of JENDL-4.0 is about 1.3%. …”
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    Controlled Capture of Magnetic Nanoparticles from Microfluidic Flows by Ferromagnetic Antidot and Dot Nanostructures by Reyne Dowling, Mikhail Kostylev

    Published 2025-01-01
    “…The capture of magnetic nanoparticles (MNPs) is essential in the separation and detection of MNPs for applications such as magnetic biosensing. …”
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  15. 315

    Design of a 20,000 Pound Variable Stiffness Actuator for Structural Vibration Attenuation by John Leavitt, James E. Bobrow, Faryar Jabbari

    Published 2008-01-01
    “…This paper describes the design of a novel actuator capable of protecting a full scale structure from severe load conditions. …”
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    Imagined and Actual Acupuncture Effects on Chronic Low Back Pain: A Preliminary Study by Jin Cao, Scott P. Orr, Georgia Wilson, Jian Kong

    Published 2020-01-01
    “…Research suggests that imagined experiences can produce brain responses similar to those produced by actual experiences. Shared brain responses that support both imagination and perception may underlie the functional nature of mental imagery. …”
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    Machine Learning-Based Quantification of Lateral Flow Assay Using Smartphone-Captured Images by Anne M. Davis, Asahi Tomitaka

    Published 2025-01-01
    “…In this study, machine learning and deep learning models were developed to quantify the analyte load from smartphone-captured images of the lateral flow assay test. The comparative analysis identified that random forest and convolutional neural network (CNN) models performed well in classifying the lateral flow assay results compared to other well-established machine learning models. …”
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