5 results match your criteria: "Zhejiang University of Technology Hangzhou 310023 China.[Affiliation]"

Rehabilitation devices, such as traditional rigid exoskeletons or exosuits, have been widely used to rehabilitate upper limb function post-stroke. In this paper, we have developed an exosuit with four degrees of freedom to enable users to involve more joints in the rehabilitation process. Additionally, a hybrid electroencephalogram-based (EEG-based) control approach has been developed to promote active user engagement and provide more control commands.

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Tracing carbonation in cementitious slurries is very necessary, as it helps to accurately design the durability of infrastructure and achieve carbon neutrality. In this study, anthocyanins extracted from fresh or stale () flowers on campus were prepared, and their capability as substitute of phenolphthalein, to trace carbonation in cementitious materials was studied. Anthocyanin extracted from stale petal had undergone significant deterioration, while that extracted from fresh petal could be cryo-preserved effectively for at least one year.

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Plasticized poly (vinyl chloride) (PVC) gel is a promising electroactive polymer material for soft actuators and sensors, and it has attracted extensive attention and interest in multi-disciplinary fields. Chlorinated polyvinyl chloride (CPVC) has enhanced mechanical and chemical properties and shows a promising potential for fabricating gel materials for electroactive polymer gel actuators. Thus, we proposed a novel soft actuator based on CPVC gels.

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The implementation of high mass loading MnO on electrochemical electrodes of supercapacitors is currently challenging due to the poor electrical conductivity and elongated electron/ion transport distance. In this paper, a NiCoO/MnO heterostructure was built on the surface of three-dimensional graphene/nickel foam (GNF) by a hydrothermal method. The petal structured NiCoO loaded on graphene played a wonderful role as a supporting framework, which provided more space for the growth of high mass loading MnO microflowers, thereby increasing the utilization rate of the active material MnO.

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The selection of effective and representative spectral bands is extremely important in eliminating redundant information and reducing the computational burden for the potential real-time applications of hyperspectral imaging. However, current band selection methods act as a separate procedure before model training and are implemented merely based on extracted average spectra without incorporating spatial information. In this paper, an end-to-end trainable network framework that combines band selection, feature extraction, and model training was proposed based on a 3D CNN (convolutional neural network, CNN) with the attention mechanism embedded in its first layer.

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