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| 1 | High-value Applications of Nanocellulose显示文摘Nanocelluloses, obtained from the biopolymer cellulose, are a class of renewable functional nanomaterials with excellent properties and a broad range of applications. This review mainly illustrates practical and advanced applications of nanocellulose-based materials in the following categories.(1) Fire-resistant materials: in the section on these types of materials, the fireprotection property of nanocellulose/clay hybrid composites(clay nanopaper) is illustrated; oriented montmorillonite(MTM) provides barrier properties and low thermal conductivity whereas cellulose nanofibers(CNFs) impart favorable charring.(2) Thermal insulation materials: the best way to obtain materials with good heat insulation performance is to decrease the thermal conductivity of such materials.(3) Template materials: nanocellulose can direct the deposition and patterning of materials to form nanoparticles, nanowires, or nanotubes with improved properties. | XiaoNan Hao KaiWen Mou XingYu Jiang RuiTao Cha | 2017 | Paper And Biomaterials2017，2，4： | 8 |
| 2 | Point-of-Care Immunoassays with Tunable Detection Range for Detecting Infection in Intensive Care Unit显示文摘One of the difficulties of a multiplexed analytical assay is matching the concentration range of different markers.Here,the authors develop an automatic,multiplexed point-of-care(POC)immunoassay that allows detecting C-reactive protein(CRP),procalcitonin(PCT),and interleukin 6(IL-6)in 50μL serum samples with limits of detection 1.87μg/mL,0.17 ng/mL,and 49.75 pg/mL,respectively.The authors use electrospun fibers and surface chemistry of gold nanoparticles(AuNPs)to adjust the detection range of different biomarkers.The authors have proposed some new diagnostic indicators(mScore and mScorePlus)that combine the results of CRP,PCT,IL-6,and complete blood counts(CBCs).The authors also tracked changes in CRP,PCT,and IL-6 of patients in an intensive care unit(ICU).The authors find that mScore and mScorePlus have advantages in improving the diagnostic accuracy and providing more analytical information.mScore and mScorePlus are effective tools to detect infections,differentiate bacterial and viral infections,and monitor disease.Integrating multiple markers into one straightforward parameter is an effective method for analytical applications.The authors believe that this method provides a general way for chemists to develop increasingly accurate detection methods and indicators. | Lei Mou Zulan Li Jie Qi Xingyu Jiang | 2021 | CCS Chemistry2021，3，5： | 1 |
| 3 | Crowd sensing data delivery based on tangle DAG network显示文摘In view of the fact that current data delivery methods are not enough to meet the security requirements of today’s distributed crowd sensing,and the data delivery methods are not flexible enough,this paper proposes a crowd sensing data interaction method based on tangle directed acyclic graph(DAG)network.In this method,users and platforms are regarded as nodes of the network in the process of performing crowd sensing tasks.First,the heaviest chain is generated through the main chain strategy to ensure the stability of the network.Then,the hidden Markov model(HMM)prediction model is used to improve the correlation of the perceived data to improve the performance.Then,the confidential transaction and commitment algorithm is used to ensure the reliability of the transaction,overcome the security risks faced by the trusted third party,and simplify the group intelligence aware transaction mode.Finally,through simulation experiments,the security and feasibility of the group intelligence aware data delivery method based on tangle DAG network are verified. | Chen Hui Jiang Xiaoling Wu Tianting Mou Xingyu | 2023 | The Journal of China Universities of Posts and Telecommunications2023，30，3： | 0 |
| 4 | Short-Term Wind Power Prediction Method Based on Combination of Meteorological Features and CatBoost显示文摘As one of the hot topics in the field of new energy,short-term wind power prediction research should pay attention to the impact of meteorological characteristics on wind power while improving the prediction accuracy.Therefore,a short-term wind power prediction method based on the combination of meteorological features and Cat Boost is presented.Firstly,morgan-stone algebras and sure independence screening(MS-SIS)method is designed to filter the meteorological features,and the influence of the meteorological features on the wind power is explored.Then,a sort enhancement algorithm is designed to increase the accuracy and calculation efficiency of the method and reduce the prediction risk of a single element.Finally,a prediction method based on Cat Boost network is constructed to further realize short-term wind power prediction.The National Renewable Energy Laboratory(NREL)dataset is used for experimental analysis.The results show that the short-term wind power prediction method based on the combination of meteorological features and Cat Boost not only improve the prediction accuracy of short-term wind power,but also have higher calculation efficiency. | MOU Xingyu CHEN Hui ZHANG Xinjing XU Xin YU Qingbo LI Yunfeng | 2023 | Wuhan University Journal of Natural Sciences2023，28，2： | 0 |
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