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| 1 | Evaluating the Accuracy of ERA5 Wave Reanalysis in the Water Around China显示文摘Wave parameters, such as wave height and wave period, are important for human activities, such as navigation, ocean engineering and sediment transport, etc. In this study, wave data from six buoys around Chinese waters, are used to assess the quality of wave height and wave period in the ERA5 reanalysis of the European Centre for Medium-Range Weather Forecasts. Annual hourly data with temporal resolution are used. The difference between the significant wave height(SWH) of ERA 5 and that of the buoy varies from-0.35 m to 0.30 m for the three shallow locations;for the three deep locations, the variation ranges from-0.09 m to 0.09 m. The ERA5 SWH data show positive biases, indicating an overall overestimation for all locations, except for E2 and S1 where underestimation is observed. During the tropical cyclone period, a large(about 32%) underestimation of the maximum SWH in the ERA5 data is observed. Hence, the ERA5 SWH data cannot be used for design applications without site-specific validation. The difference between the annual wave period from ERA5 and the mean wave period from the buoys varies from-1.31 s to 0.4 s. Inter-comparisons suggest that the ERA5 dataset is consistent with the annual mean SWH. However, for the average period, the performance is not good, and half of the correlation coefficients in the four points are less 50%. Overall, the deep water area simulation effect is better than that in the shallow water. | SHI Hongyuan CAO Xuefeng LI Qingjie LI Delei SUN Jiacheng YOU Zaijin SUN Qingying | 2021 | Journal of Ocean University of China2021，20，1： | 5 |
| 2 | A competitive microcystin-LR immunosensor based on Au NPs@metal-organic framework(MIL-101)显示文摘An electrochemical immunosensor was developed for ultrasensitive detection of microcystin-LR in water. MIL-101, a porous metal-organic frameworks(MOFs) material based on trivalent chromium skeleton were synthesized by hydrothermal synthesis method, and loaded with Au nanoparticles(Au NPs) to prepare Au NPs@MIL-101 composite materials which were used as a marker to label anti microcystin-LR(Anti-MC-LR). The composite materials have strong catalytic properties to the oxidation of ascorbic acid. Anti-MC-LR was immobilized on glassy carbon electrode surface using electrodeposition graphene oxide(GO) as an immobilization matrix to construct a competitive microcystin-LR immunosensor. The electrochemical immunosensor display linear relationship in the range of 0.05 ng/mL-75 μg/mL with linear correlation coefficient of 0.9951 and detection limit of 0.02 ng/mL(S/N = 3). This sensor was used to detect microcystin-LR in the water sample. The recovery was 102.43%,which is satisfied. The good testing results indicate the sensor has a great prospect in practical application. | Kunlei Zhang Kun Dai Ruyan Bai Yuchan Ma Yan Deng Delei Li Xi Zhang Rong Hu Yunhui Yang | 2019 | Chinese Chemical Letters2019，30，3： | 2 |
| 3 | On the generation and evolution of internal solitary waves in the northwestern South China Sea显示文摘 | Li Delei Chen Xueen Liu A | 2011 | Ocean Modelling2011，40，2： | 1 |
| 4 | An immunohistochemical study of matrix molecules associated with barrier membrane-mediated periodontal wound healing显示文摘 | Ivanovski S Li H Deley T | 2000 | J Periodont Res2000，35，： | 1 |
| 5 | A Novel Worm-like In-Pipe Robot with the Rigid and Soft Structure显示文摘Soft in-pipe robot has good adaptability in tubular circumstances,while its rigidity is insufficient,which affects the traction performance.This paper proposes a novel worm-like in-pipe robot with a rigid and soft structure,which not only has strong traction ability but also flexible mobility in the shaped pipes.Imitating the structure features of the earthworm,the bionic in-pipe robot structure is designed including two soft anchor parts and one rigid telescopic part.The soft-supporting mechanism is the key factor for the in-pipe robot excellent performance,whose mathematical model is established and the mechanical characteristics are analyzed,which is used to optimize the structural parameters.The prototype is developed and the motion control strategy is planned.Various performances of the in-pipe robot are tested,such as the traction ability,moving velocity and adaptability.For comparative analysis,different operating scenarios are built including the horizontal pipe,the inclined pipe,the vertical pipe and other unstructured pipes.The experiment results show that the in-pipe robot is suitable for many kinds of pipe applications,the average traction is about 6.8N,the moving velocity is in the range of 9.5 to 12.7 mm/s. | Delei Fang Guofeng Jia Junran Wu Xiaoru Niu Pan Li Rong Wang Yan Zhang Junxia Zhang | 2023 | Journal of Bionic Engineering2023，20，6： | 0 |
| 6 | Newcastle disease virus suppresses antigen presentation via inhibiting IL-12 expression in dendritic cells显示文摘As a potential vectored vaccine,Newcastle disease virus(NDV)has been subject to various studies for vaccine development,while relatively little research has outlined the immunomodulatory effect of the virus in antigen presentation.To elucidate the key inhibitory factor in regulating the interaction of infected dendritic cells(DCs)and T cells,DCs were pretreated with the NDV vaccine strain LaSota as an inhibitor and stimulated with lipopolysaccharide(LPS)for further detection by enzyme-linked immunosorbent assay(ELISA),flow cytometry,immunoblotting,and quantitative real-time polymerase chain reaction(qRT-PCR).The results revealed that NDV infection resulted in the inhibition of interleukin(IL)-12p40 in DCs through a p38 mitogen-activated protein kinase(MAPK)-dependent manner,thus inhibiting the synthesis of IL-12p70,leading to the reduction in T cell proliferation and the secretion of interferon-(IFN-),tumor necrosis factor-α(TNF-α),and IL-6 induced by DCs.Consequently,downregulated cytokines accelerated the infection and viral transmission from DCs to T cells.Furthermore,several other strains of NDV also exhibited inhibitory activity.The current study reveals that NDV can modulate the intensity of the innate-adaptive immune cell crosstalk critically toward viral invasion improvement,highlighting a novel mechanism of virus-induced immunosuppression and providing new perspectives on the improvement of NDV-vectored vaccine. | Fulong NAN Wenlong NAN Xin YAN Hui WANG Shasha JIANG Shuyun ZHANG Zhongjie YU Xianjuan ZHANG Fengjun LIU Jun LI Xiaoqiong ZHOU Delei NIU Yiquan LI Wei WANG Ning SHI Ningyi JIN Changzhan XIE Xiaoni CUI He ZHANG Bin WANG Huijun LU | 2024 | Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)2024，25，3： | 0 |
| 7 | Physics-informed deep-learning parameterization of ocean vertical mixing improves climate simulations显示文摘Uncertainties in ocean-mixing parameterizations are primary sources for ocean and climate modeling biases.Due to lack of process understanding,traditional physics-driven parameterizations perform unsatisfactorily in the tropics.Recent advances in the deep-learning method and the new availability of long-term turbulence measurements provide an opportunity to explore data-driven approaches to parameterizing oceanic vertical-mixing processes.Here,we describe a novel parameterization based on an artificial neural network trained using a decadal-long time record of hydrographic and turbulence observations in the tropical Pacific.This data-driven parameterization achieves higher accuracy than current parameterizations,demonstrating good generalization ability under physical constraints.When integrated into an ocean model,our parameterization facilitates improved simulations in both ocean-only and coupled modeling.As a novel application of machine learning to the geophysical fluid,these results show the feasibility of using limited observations and well-understood physical constraints to construct a physics-informed deep-learning parameterization for improved climate simulations. | Yuchao Zhu Rong-Hua Zhang James NMoum Fan Wang Xiaofeng Li Delei Li | 2022 | National Science Review2022，9，8： | 0 |
| 8 | Deep learning to estimate ocean subsurface salinity structure in the Indian Ocean using satellite observations显示文摘Accurately estimating the ocean subsurface salinity structure(OSSS)is crucial for understanding ocean dynamics and predicting climate variations.We present a convolutional neural network(CNN)model to estimate the OSSS in the Indian Ocean using satellite data and Argo observations.We evaluated the performance of the CNN model in terms of its vertical and spatial distribution,as well as seasonal variation of OSSS estimation.Results demonstrate that the CNN model accurately estimates the most significant salinity features in the Indian Ocean using sea surface data with no significant differences from Argo-derived OSSS.However,the estimation accuracy of the CNN model varies with depth,with the most challenging depth being approximately 70 m,corresponding to the halocline layer.Validations of the CNN model’s accuracy in estimating OSSS in the Indian Ocean are also conducted by comparing Argo observations and CNN model estimations along two selected sections and four selected boxes.The results show that the CNN model effectively captures the seasonal variability of salinity,demonstrating its high performance in salinity estimation using sea surface data.Our analysis reveals that sea surface salinity has the strongest correlation with OSSS in shallow layers,while sea surface height anomaly plays a more significant role in deeper layers.These preliminary results provide valuable insights into the feasibility of estimating OSSS using satellite observations and have implications for studying upper ocean dynamics using machine learning techniques. | Jifeng QI Guimin SUN Bowen XIE Delei LI Baoshu YIN | 2024 | Journal of Oceanology and Limnology2024，42，2： | 0 |
| 9 | The status and development strategy of coalbed methane industry in China显示文摘To achieve the goals of carbon peaking and carbon neutrality under the backgrounds of poor resource endowments, weak theoretical basis and other factors, the development of the coalbed methane industry of China faces many bottlenecks and challenges. This paper systematically analyzes the coalbed methane resources, key technologies and progress, exploration effect and production performance in China and abroad. The main problems are summarized as low exploration degree, low technical adaptability, low return on investment and small development scale. This study suggests that the coalbed methane industry in China should follow the “two-step”(short-term and long-term) development strategy. The short-term action before 2030, can be divided into two stages:(1) From the present to 2025, to achieve new breakthroughs in theory and technology, and accomplish the target of annual production of 10 billion cubic meters;(2) From 2025 to 2030, to form the technologies suitable for most geological conditions, further expand the industry scale, and achieve an annual output of 30 billion cubic meters, improving the proportion of coalbed methane in the total natural gas production. The long-term action after 2030 is to gradually realize an annual production of 100 billion cubic meters. The strategic countermeasure to achieve the above goals is to adhere to “technology+management dual wheel drive”, realize the synchronous progress of technology and management, and promote the high-quality development of the coalbed methane industry. Technically, the efforts will focus on fine and effective development of coalbed methane in the medium to shallow layers of mature fields, effective development of coalbed methane in new fields, extensive and beneficial development of deep coalbed methane, three-dimensional comingled development of coalbed methane, applying new technologies such as coalbed methane displacement by carbon dioxide, microwave heating and stimulation technology, ultrasonic stimulation, high-temperature heat injection stimulation, rock breaking by high-energy laser. In terms of management, the efforts will focus on coordinative innovation of resource, technology, talent, policy and investment, with technological innovation as the core, to realize an all-round and integrated management and promote the development of coalbed methane industry at a high level. | XU Fengyin HOU Wei XIONG Xianyue XU Borui WU Peng WANG Hongya FENG Kun YUN Jian LI Shuguang ZHANG Lei YAN Xia FANG Huijun LU Qian MAO Delei | 2023 | Petroleum Exploration and Development2023，50，4： | 0 |
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