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| 1 | Performance Evaluation Indicators of Space Dynamic Networks under Broadcast Mechanism显示文摘Large-scale heterogeneous constellations will be the major forms of future space-based systems,and the implementation of numerous derived applications depends mainly on intersatellite communication.The nodes representing heterogeneous satellites will form the networks with rapidly changing topology.However,few researches have been carried out for such networks.This paper studies the broadcast mechanism for space dynamic networks and establishes centralized and distributed routing framework.And then,performance evaluation indicators are proposed to evaluate both the connectivity of dynamic networks and the effectiveness of routing algorithms.Finally,we examine the performance of multigroup networks and verify the rationality of corresponding indicators.We also explore the impact of information survival time which directly affects the delivery ratio and,if unfortunately,may waste the communication resources.Empirical conclusion about the survival time is given in the final part.We believe the performance indicators and the routing algorithms proposed in this paper are great help to future space-based system and both the broadcast mechanism designing. | Zipeng Ye Qingrui Zhou | 2021 | Space(Science & Technology)2021，，1： | 1 |
| 2 | High temperature ceramic thermal insulation material显示文摘Flexible and lightweight thermal insulation materials with hierarchical microstructures are ubiquitous in thermal management and protection systems.Ceramic aerogels promise high-temperature thermal insulation but lack mechanical robustness,while the fibrous materials with excellent mechanical elasticity display modest thermal insulation.Here we describe flexible hierarchical superhydrophobic ceramic insulation nanocomposites through the densified architectured hierarchical nanostructures,radiative insulation coating,and interfacial cross-linking among composites.The lightweight flexible ceramic nanocomposites exhibit a density of 0.13 g/cm^(3),high-temperature fire resistance with thermal conductivity of 0.024 W/(m·K),and super-hydrophobicity with the water contact angle of 152°.The mechanical robustness and high-temperature thermal insulation of ceramic nanocomposites,together with its soundproof performance,shed light on the low-cost flexible insulation materials manufacturing with scalability for high-temperature thermal insulation applications under high mechanical loading conditions. | Lu An Jason N.Armstrong Yong Hu Yulong Huang Zheng Li Donghui Zhao Jesse Sokolow Zipeng Guo Chi Zhou Shenqiang Ren | 2022 | Nano Research2022，15，7： | 1 |
| 3 | Synthesis of surface controlled nickel/palladium hydride nanodendrites with high performance in benzyl alcohol oxidation显示文摘Benzaldehyde byproduct is an imperative intermediate in the production of fine chemicals and additives.Tuning selectivity to benzaldehyde is therefore critical in alcohol oxidation reactions at the industrial level.Herein,we report a simple but innovative method for the synthesis of palladium hydride and nickel palladium hydride nanodendrites with controllable morphology,high stability,and excellent catalytic activity.The synthesized dendrites can maintain the palladium hydride phase even after their use in the chosen catalytic reaction.Remarkably,the high surface area morphology and unique interaction between nickel-rich surface and palladium hydride (β-phase) of these nanodendrites are translated in an enhanced catalytic activity for benzyl alcohol oxidation reaction.Our Ni/PdH0.43 nanodendrites demonstrated a high selectivity towards benzaldehyde of about 92.0% with a conversion rate of 95.4%,showing higher catalytic selectivity than their PdH0.43 counterparts and commercial Pd/C.The present study opens the door for further exploration of metal/metal-hydride nanostructures as next-generation catalytic materials. | Zipeng Zhao Michelle M.Flores Espinosa Jihan Zhou Wang Xue Xiangfeng Duan Jianwei Miao Yu Huang | 2019 | Nano Research2019，12，6： | 1 |
| 4 | Stress compensation based on interfacial nanostructures for stable perovskite solar cells显示文摘The long-term stability issue of halide perovskite solar cells hinders their commercialization.The residual stress-strain affects device stability,which is derived from the mismatched thermophysical and mechanical properties between adjacent layers.In this work,we introduced the Rb_(2)CO_(3)layer at the interface of SnO_(2)/perovskite with the hierarchy morphology of snowflake-like microislands and dendritic nanostructures.With a suitable thermal expansion coefficient,the Rb_(2)CO_(3)layer benefits the interfacial stress relaxation and results in a compressive stress-strain in the perovskite layer.Moreover,reduced nonradiative recombination losses and optimized band alignment were achieved.An enhancement of open-circuit voltage from 1.087 to 1.153 V in the resultant device was witnessed,which led to power conversion efficiency(PCE)of 22.7%(active area of 0.08313 cm^(2))and 20.6%(1 cm2).Moreover,these devices retained 95%of its initial PCE under the maximum power point tracking(MPPT)after 2700 h.It suggests inorganic materials with high thermal expansion coefficients and specific nanostructures are promising candidates to optimize interfacial mechanics,which improves the operational stability of perovskite cells. | Cheng Zhu Xi Wang Hangxuan Li Chenyue Wang Ziyan Gao Pengxiang Zhang Xiuxiu Niu Nengxu Li Zipeng Xu Zhenhuang Su Yihua Chen Huachao Zai Haipeng Xie Yizhou Zhao Ning Yang Guilin Liu Xueyun Wang Huanping Zhou Jiawang Hong Xingyu Gao Yang Bai Qi Chen | 2023 | Interdisciplinary Materials2023，2，2： | 0 |
| 5 | Gold nanoclusters conjugated berberine reduce inflammation and alleviate neuronal apoptosis by mediating M2 polarization for spinal cord injury repair显示文摘Spinal cord injury(SCI)leads to nerve cell apoptosis and loss of motor function.Herein,excessive activation of the M1 phenotype macrophages/microglia is found to be the main reason for the poor prognosis of SCI,but the selective activation phenotype(M2)macrophages/microglia facilitates the recovery of SCI.Thereafter,we used gold nanoclusters loaded berberine(BRB-AuNCs)to reduce inflammation by inhibiting the activation of M1 phenotype macrophages/microglia,which simultaneously inhibited neuronal apoptosis after SCI.In vitro and in vivo experiments showed that BRB-AuNCs reduced M1 protein marker CD86,increased M2 protein marker CD206,reduced inflammation and apoptotic cytokines(IL-1β,IL-6,TNF-α,Cleaved Caspase-3 and Bax).These results indicate that BRB-AuNCs have excellent anti-inflammatory and anti-apoptotic effects by inducing the polarization of macrophages/microglia from M1 phenotype to M2 phenotype.Thereafter,the motor functions of SCI rats were significantly improved after treatment with BRB-AuNCs.This work not only provides a new way for the treatment of SCI but also broadens BRB utilization strategies. | Zipeng Zhou Dan Li Xiangyi Fan Yajiang Yuan Hongyu Wang Dahao Wang Xifan Mei | 2022 | Regenerative Biomaterials2022，9，1： | 0 |
| 6 | The Super-large Ensemble Experiments of CAS FGOALS-g3显示文摘A super-large ensemble simulation dataset with 110 members has been produced by the fully coupled model FGOALS-g3 developed by researchers at the Institute of Atmospheric Physics,Chinese Academy of Sciences.This is the first dataset of large ensemble simulations with a climate system model developed by a Chinese modeling center.The simulation has the largest realizations up to now worldwide in terms of single-model initial-condition large ensembles.Each member includes a historical experiment(1850-2014)and an experiment(2015-99)under the very high greenhouse gas emissions Shared Socioeconomic Pathway scenario(SSP5-8.5).The dataset includes monthly and daily temperature,precipitation,and other variables,requiring storage of 275 TB.Additionally,the surface air temperature(SAT)and land precipitation simulated by the FGOALS-g3 super-large ensemble have been validated and projected.The ensemble can capture the response of SAT and land precipitation to external forcings well,and the internal variabilities can be quantified.The availability of more than 100 realizations will help researchers to study rare events and improve the understanding of the impact of internal variability on forced climate changes. | Pengfei LIN Bowen ZHAO Jilin WEI Hailong LIU Wenxia ZHANG Xiaolong CHEN Jie JIANG Mengrong DING Wenmin MAN Jinrong JIANG Xu ZHANG Yuewen DING Wenrong BAI Chenyang JIN Zipeng YU Yiwen LI Weipeng ZHENG Tianjun ZHOU | 2022 | Advances in Atmospheric Sciences2022，39，10： | 0 |
| 7 | Recent advances in bismuth-based photocatalysts:Environment and energy applications显示文摘Photocatalysis is an effective way to solve the problems of environmental pollution and energy shortage.Numerous photocatalysts have been developed and various strategies have been proposed to improve the photocatalytic performance.Among them,Bi-based photocatalysts have become one of the most popular research topics due to their suitable band gaps,unique layered structures,and physicochemical properties.In this review,Bi-based photocatalysts(BiOX,BiVO_(4),Bi_(2)S_(3),Bi_(2)MoO_(6),and other Bi-based photocatalysts)have been summarized in the field of photocatalysis,including their applications of the removal of organic pollutants,hydrogen production,oxygen production etc.The preparation strategies on how to improve the photocatalytic performance and the possible photocatalytic mechanism are also summarized,which could supply new insights for fabricating high-efficient Bi-based photocatalysts.Finally,we summarize the current challenges and make a reasonable outlook on the future development direction of Bi-based photocatalysts. | Sijia Song Zipeng Xing Huanan Zhao Zhenzi Li Wei Zhou | 2023 | Green Energy & Environment2023，8，5： | 0 |
| 8 | Estimation of soil organic matter in the Ogan-Kuqa River Oasis, Northwest China, based on visible and near-infrared spectroscopy and machine learning显示文摘Visible and near-infrared(vis-NIR)spectroscopy technique allows for fast and efficient determination of soil organic matter(SOM).However,a prior requirement for the vis-NIR spectroscopy technique to predict SOM is the effective removal of redundant information.Therefore,this study aims to select three wavelength selection strategies for obtaining the spectral response characteristics of SOM.The SOM content and spectral information of 110 soil samples from the Ogan-Kuqa River Oasis were measured under laboratory conditions in July 2017.Pearson correlation analysis was introduced to preselect spectral wavelengths from the preprocessed spectra that passed the 0.01 level significance test.The successive projection algorithm(SPA),competitive adaptive reweighted sampling(CARS),and Boruta algorithm were used to detect the optimal variables from the preselected wavelengths.Finally,partial least squares regression(PLSR)and random forest(RF)models combined with the optimal wavelengths were applied to develop a quantitative estimation model of the SOM content.The results demonstrate that the optimal variables selected were mainly located near the range of spectral absorption features(i.e.,1400.0,1900.0,and 2200.0 nm),and the CARS and Boruta algorithm also selected a few visible wavelengths located in the range of 480.0–510.0 nm.Both models can achieve a more satisfactory prediction of the SOM content,and the RF model had better accuracy than the PLSR model.The SOM content prediction model established by Boruta algorithm combined with the RF model performed best with 23 variables and the model achieved the coefficient of determination(R2)of 0.78 and the residual prediction deviation(RPD)of 2.38.The Boruta algorithm effectively removed redundant information and optimized the optimal wavelengths to improve the prediction accuracy of the estimated SOM content.Therefore,combining vis-NIR spectroscopy with machine learning to estimate SOM content is an important method to improve the accuracy of SOM prediction in arid land. | ZHOU Qian DING Jianli GE Xiangyu LI Ke ZHANG Zipeng GU Yongsheng | 2023 | Journal of Arid Land2023，15，2： | 0 |
| 9 | 3D flower-like mesoporous Bi_(4)O_(5)I_(2)/MoS_(2)Z-scheme heterojunction with optimized photothermal-photocatalytic performance显示文摘3D flower-like hierarchical mesoporous Bi_(4)O_(5)I_(2)/MoS_(2)Z-scheme layered heterojunction photocatalyst was fabricated by oil bath and hydrothermal methods.The heterojunction with narrow band gap of~1.95 eV extended the photoresponse to near-infrared region,which showed obvious photothermal effect due to the introduction of MoS_(2) with broad spectrum response.MoS_(2) nanosheets were anchored onto the surface of flower-like hierarchical mesoporous Bi_(4)O_(5)I_(2) nanosheets,thereby forming efficient layered heterojunctions,the solar-driven photocatalytic efficiency in degradation of highly toxic dichlorophenol and reduction of hexavalent chromium was improved to 98.5%and 99.2%,which was~4 and 7 times higher than that of the pristine Bi_(4)O_(5)I_(2),respectively.In addition,the photocatalytic hydrogen production rate reached 496.78 μmol h^(-1)g^(-1),which was~6 times higher than that of the pristine Bi_(4)O_(5)I_(2).The excellent photocatalytic performance can be ascribed to the promoted photothermal effect,as well as,the formation of compact Z-scheme layered heterojunctions.The 3D flower-like hierarchical mesoporous structure provided adequate surface active-sites,which was conducive to the mass transfer.Moreover,the high stability of the prepared photocatalyst further promoted its potential practical application.This strategy also provides new insights for fabricating layered Zscheme heterojunctions photocatalysts with highly photothermal-photocatalytic efficiency. | Sijia Song Zipeng Xing Ke Wang Huanan Zhao Peng Chen Zhenzi Li Wei Zhou | 2023 | Green Energy & Environment2023，8，1： | 0 |
| 10 | Stability behavior of the Lanxi ancient flood control levee after reinforcement with upside-down hanging wells and grouting curtain显示文摘The stability of the ancient flood control levees is mainly influenced by water level fluctuations, groundwater concentration and rainfalls. This paper takes the Lanxi ancient levee as a research object to study the evolution laws of its seepage, displacement and stability before and after reinforcement with the upside-down hanging wells and grouting curtain through numerical simulation methods combined with experiments and observations. The study results indicate that the filled soil is less affected by water level fluctuations and groundwater concentration after reinforcement. A high groundwater level is detrimental to the levee's long-term stability, and the drainage issues need to be fully considered. The deformation of the reinforced levee is effectively controlled since the fill deformation is mainly borne by the upside-down hanging wells. The safety factors of the levee before reinforcement vary significantly with the water level. The minimum value of the safety factors is 0.886 during the water level decreasing period, indicating a very high risk of the instability. While it reached 1.478 after reinforcement, the stability of the ancient levee is improved by a large margin. | QIN Zipeng TIAN Yan GAO Siyuan ZHOU Jianfen HE Xiaohui HE Weizhong GAO Jingquan | 2024 | Journal of Mountain Science2024，21，1： | 0 |
| 11 | Underwater Noise Target Recognition Based on Sparse Adversarial Co-Training Model with Vertical Line Array显示文摘The automatic identification of underwater noncooperative targets without label records remains an arduous task considering the marine noise interference and the shortage of labeled samples.In particular,the data-driven mechanism of deep learning cannot identify false samples,aggravating the difficulty in noncooperative underwater target recognition.A semi-supervised ensemble framework based on vertical line array fusion and the sparse adversarial co-training algorithm is proposed to identify noncooperative targets effectively.The sound field cross-correlation compression(SCC)feature is developed to reduce noise and computational redundancy.Starting from an incomplete dataset,a joint adversarial autoencoder is constructed to extract the sparse features with source depth sensitivity,aiming to discover the unknown underwater targets.The adversarial prediction label is converted to initialize the joint co-forest,whose evaluation function is optimized by introducing adaptive confidence.The experiments prove the strong denoising performance,low mean square error,and high separability of SCC features.Compared with several state-of-the-art approaches,the numerical results illustrate the superiorities of the proposed method due to feature compression,secondary recognition,and decision fusion. | ZHOU Xingyue YANG Kunde YAN Yonghong LI Zipeng DUAN Shunli | 2023 | Journal of Ocean University of China2023，22，5： | 0 |
| 12 | Coagulation factors and the incidence of COVID-19 severity:Mendelian randomization analyses and supporting evidence显示文摘Dear Editor,The evolving pandemic of coronavirus disease 19(COVID-19),is arousing alarm to public health.According to epidemiological and observational investigations,coagulopathy was frequently seen in severe COVID-19 patients1.Some coagulation factors such as D-dimer,prothrombin time(PT);von Willebrand factor(VWF),platelet count,and fibrinogen were documented to be important predictors of critically ill patients with COVID-19 in many retrospective observational studies and were substantially discussed before(see Supplementary Notes),yet the causality from specific coagulation factors to the incidence of COVID-19 severity and the underlying mechanism remains elusive. | Yao Zhou Xinyi Qian Zipeng Liu Hongxi Yang Tong Liu Kexin Chen Yaogang Wang Pak Chung Sham Ying Yu Mulin Jun Li | 2021 | Signal Transduction and Targeted Therapy2021，6，7： | 0 |
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