| 1. |
- Liu, H., et al.
(författare)
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Physicochemical characteristics and pyrolysis kinetics of hydrothermal carbon from natural Scenedesmus
- 2019
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Ingår i: Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering. - : Chinese Society of Agricultural Engineering. - 1002-6819. ; 35:14, s. 235-242
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Tidskriftsartikel (refereegranskat)abstract
- In order to explore the utilization of natural microalgae, the natural Scenedesmus was selected to carry out hydrothermal carbonization experiments, and the characterization of its hydrochars was determined using Fourier transform infrared spectroscopy, X-ray diffraction analysis, X-ray fluorescence spectroscopy, environmental scanning electron microscopy and thermogravimetric analyzer. The results showed that the ash content of natural Scenedesmus was 44.66%, and the lipid and protein content of natural Scenedesmus were 1.4% and 15.1%, respectively. The natural microalgae ash components were mostly water-insoluble components. The main components included (Mg0.064Ca0.936CO3), SiO2, NaCl, Al2O3, CaSO4, Mg3S2O8(OH)2. After hydrothermal carbonization treatment, NaCl was dissolved in water, and the water-insoluble components were enriched in hydrochars. Compared with the natural Scenedesmus, the ash content of hydrochars increased, in the range from 57.41% to 71.47%. It was worth noting that the natural Scenedesmus and its derived hydrochars had no fixed carbon. With the increase of hydrothermal temperature, the hydrothermal carbon yield decreased from 47.29% (180℃) to 43.01% (240℃). This phenomenon was on account of the organic components in the natural Scenedesmus underwent hydrolysis, dehydration, decarboxylation, aromatization, condensation and polymerization. The carbon remaining ratio was the largest, the oxygen was the smallest, and the remaining ratios of carbon, hydrogen and oxygen decreased as the hydrothermal temperature increased. For HC-240, the removal rates of H and O were 69.88% and 93.88%, respectively, and the C remaining ration rate was 33.97%. The O/C molar ratio of hydrochars decreased from 1.45 to 0.28. Dehydration and decarboxylation were the main pathways in hydrothermal carbonization of the natural Scenedesmus, and the demethylation pathway was negligible. Oxygen was removed in the form of H2O and CO2. The degree of carbonization was enhanced and hydrochars had the potential to be applied to solid fuels. Since hydrochars contained a large amount of ash, its calorific value was in the range of 8.43-9.67 MJ/kg. Hence, the pretreatment of deashing was a necessary process. The hydrothermal carbonization treatment effectively improved the pore structure of hydrochars, and the absorption-desorption capacity of hydrochars was obviously enhanced. Compared with natural Scenedesmus (4.36 m2/g), the specific surface area of hydrochars was in the range of 28.7-35.26 m2/g. The natural Scenedesmus had a dense block-like without pores or pathways. However, the morphologies of hydrochars changed significantly. The fragmentation and porosity of hydrochars increased, which attributed to the release of volatile matter during hydrothermal carbonization process and chemical bond decomposition of feedstock. The thermogravimetric analysis experiments were carried out to reveal the pyrolysis characteristics of hydrochars. It was found that the weight loss peak at 300℃ gradually disappeared with the increased of hydrothermal temperature. This was owing to the degree of natural Scenedesmus increased and the volatile matter content decreased. When the hydrothermal temperature was higher than 220℃, the maximum weight loss rate peak moved to the high temperature zone. The pyrolysis kinetics results showed that the thermal stability of hydrochars increased with the increase of hydrothermal temperature. The hydrochars were more hydrophobic than that of the natural Scenedesmus. The research results provide a theoretical reference for the resource utilization of natural microalgae.
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| 2. |
- Wang, Z., et al.
(författare)
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A Sparse Model-Inspired Deep Thresholding Network for Exponential Signal Reconstruction--Application in Fast Biological Spectroscopy
- 2022
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Ingår i: IEEE Transactions on Neural Networks and Learning Systems. - : Institute of Electrical and Electronics Engineers (IEEE). - 2162-237X .- 2162-2388. ; 34:10, s. 7578-92
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Tidskriftsartikel (refereegranskat)abstract
- The nonuniform sampling (NUS) is a powerful approach to enable fast acquisition but requires sophisticated reconstruction algorithms. Faithful reconstruction from partially sampled exponentials is highly expected in general signal processing and many applications. Deep learning (DL) has shown astonishing potential in this field, but many existing problems, such as lack of robustness and explainability, greatly limit its applications. In this work, by combining the merits of the sparse model-based optimization method and data-driven DL, we propose a DL architecture for spectra reconstruction from undersampled data, called MoDern. It follows the iterative reconstruction in solving a sparse model to build the neural network, and we elaborately design a learnable soft-thresholding to adaptively eliminate the spectrum artifacts introduced by undersampling. Extensive results on both synthetic and biological data show that MoDern enables more robust, high-fidelity, and ultrafast reconstruction than the state-of-the-art methods. Remarkably, MoDern has a small number of network parameters and is trained on solely synthetic data while generalizing well to biological data in various scenarios. Furthermore, we extend it to an open-access and easy-to-use cloud computing platform (XCloud-MoDern), contributing a promising strategy for further development of biological applications.
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| 4. |
- Zhuang, C., et al.
(författare)
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A neuromuscular electrical stimulation strategy based on muscle synergy for stroke rehabilitation
- 2015
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Ingår i: International IEEE/EMBS Conference on Neural Engineering, NER. - : IEEE Computer Society. - 9781467363891 ; , s. 816-819
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Konferensbidrag (refereegranskat)abstract
- Recent experiments have suggested that the central nervous system (CNS) makes use of muscle synergies as a neural strategy to simplify the control of a variety of movements by using a single pattern of neural command signal. This nature of muscle coordination could have great significance in the treatment and rehabilitation of upper limb impairments for hemiparetic patients post stroke. The use of neuromuscular electrical stimulation (NMES) for neural prosthetics or therapeutic applications has been demonstrated as a promising clinical intervention for stroke patients to recover motor function of the upper extremity. However, the existing NMES systems do not provide control methods for the patient to achieve an individualized and functional rehabilitation training. In this research work, muscle synergies from the flexionextension elbow antagonistic muscles were studied. Using motion information and EMG signals, muscle synergies were extracted using non-negative matrix factorization (NMF) method. Reconstructed signals obtained from the muscle synergies were then applied to the virtual arm (VA) model to test a synergy based NMES strategy. Results show close resemblance to the original elbow trajectory of normal movements and thus the feasibility to control movements in stroke patients for rehabilitation.
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