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| 1 | Single and competitive adsorption affinity of heavy metals toward peanut shell-derived biochar and its mechanisms in aqueous systems显示文摘Converting peanut shells into biochar by pyrolysis was considered an environmentally friendly and efficient method for agricultural solid waste disposal.The properties of peanut shell-derived biochar(PBC)under different temperature and its adsorption capacity of heavy metals were investigated.It was found that PBC400 exhibited the highest cumulative capability for heavy metals elimination in single solute because of its high specific surface area and rich functional groups.Furthermore,the competitive adsorption revealed that PBC had a substantial difference in adsorption affinity from diverse heavy metal ions,sorption capacity decreased as Pb2+>Cu2+>Cd2+>Ni2+>Zn2+,which was lower than in a single solute.The adsorption process using selected biochar was optimized with respect to p H,reaction time,adsorbent dose,and initial concentration of heavy metals.The kinetic data was well fitted with PSO model,and the Langmuir model was adopted for adsorption equilibrium data in both cases of single solutes and mixed solutes for all heavy metals,which indicated that the removal course was primarily explained by monolayer adsorption,and chemical adsorption occupied an important role.Therefore,peanut shells derived biochar could be a potential and green adsorbent for wastewater treatment. | Rui Shan Yueyue Shi Jing Gu YazhuoWang Haoran Yuan | 2020 | Chinese Journal of Chemical Engineering2020，28，5： | 14 |
| 2 | 黄鳝松果腺复合体的超显微结构研究显示文摘 | Shi Qiong Lin Haoran Deng Baili1)(School of Life Sciences, Zhongshan University,Guangzhou 510275) (Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University,Kowloon) | 1999 | 水生生物学报1999，23，1： | 6 |
| 3 | Optimal observation configuration of UAVs based on angle and range measurements and cooperative target tracking in three-dimensional space显示文摘This article investigates the optimal observation configuration of unmanned aerial vehicles(UAVs) based on angle and range measurements, and generalizes predecessors' researches in two dimensions into three dimensions. The relative geometry of the UAVs-target will significantly affect the state estimation performance of the target, the cost function based on the Fisher information matrix(FIM) is used to derive the FIM determinant of UAVs' observation in three-dimensional space, and the optimal observation geometric configuration that maximizes the determinant of the FIM is obtained. It is shown that the optimal observation configuration of the UAVs-target is usually not unique, and the optimal observation configuration is proved for two UAVs and three UAVs in three-dimension. The long-range over-the-horizon target tracking is simulated and analyzed based on the analysis of optimal observation configuration for two UAVs. The simulation results show that the theoretical analysis and control algorithm can effectively improve the positioning accuracy of the target. It can provide a helpful reference for the design of over-the-horizon target localization based on UAVs. | SHI Haoran LU Faxing WANG Hangyu XU Junfei | 2020 | Journal of Systems Engineering and Electronics2020，31，5： | 4 |
| 4 | Joint Computation Offloading and Resource Allocation for Mobile-Edge Computing Assisted Ultra-Dense Networks显示文摘Mobile-edge computing(MEC),enabling to offload computing tasks on mobile devices towards edge servers,can reduce the terminals cost.However,a single MEC sever usually has limited computing capabilities,which can not meet a large number of terminals’requirements.In this paper,we consider an ultra-dense networks(UDN)scenario where the macro base stations(MBSs)are assisted by MEC severs.In particular,we first construct system model for MEC assisted UDN,and build the system overhead minimization.Next,in order to solve the problem,we transform the problem into three sub-problems,i.e.,offloading strategies subproblem,channel assignments subproblem,and power allocation subproblem.Then,employing joint offloading and resource allocation algorithms,we obtain the optimal joint strategy for the MEC assisted UDNs.Finally,simulations are conducted to evaluate the performance of our proposed algorithms.Numerical results show that obtained algorithms can effectively reduce the energy consumption of the system and improve the overall performance of the system. | Ya Gao Haoran Zhang Fei Yu Yujie Xia Yongpeng Shi | 2022 | Journal of Communications and Information Networks2022，7，1： | 3 |
| 5 | Transplantation of Mesenchymal Stem Cells Attenuates Acute Liver Failure in Mice via an Interleukin-4-dependent Switch to the M2 Macrophage Anti-inflammatory Phenotype显示文摘Background and Aims:Transplantation of mesenchymal stem cells(MSCs)derived from bone marrow(BM)is an alternative treatment of acute liver failure(ALF)mainly be-cause of the resulting anti-inflammatory activity.It is not known how MSCs regulate local immune responses and liver regeneration.This study explored the effects of MSCs on hepatic macrophages and the Wnt signaling pathway in ALF.Methods:MSCs were isolated from BM aspirates of C57BL/6J mice,and transplanted in mice with ALF induced by D-galactosamine(D-Gal).The proliferation of hepato-cytes was assayed by immunohistochemical(IHC)staining of Ki-67 and proliferating cell nuclear antigen(PCNA).The levels of key proteins in the Wnt signaling pathway were assayed by western blotting and cytokines were determined enzyme-linked immunosorbent assays(ELISAs).A mac-rophage polarization assay characterized the M1/M2 ratio.The potential role of interleukin-4(IL-4)in the biological ac-tivity of MSCs was determined by silencing of IL-4.Results:Transplantation of allogeneic MSCs significantly attenuated D-Gal-induced hepatic inflammation and promoted liver re-generation.MSC transplantation significantly promoted a phenotypic switch from proinflamatory M1 macrophages to anti-inflammatory M2 macrophages,leading to significant Wnt-3a induction and activation of the Wnt signaling path-way in mice with D-Gal-induced ALF.Of the paracrine fac-tors secreted by MSCs(G-CSF,IL-6,IL-1 beta,IL-4,and IL-17A),IL-4 was specifically induced following transplantation in the ALF model mice.The silencing of IL-4 significantly ab-rogated the phenotypic switch to M2 macrophages and the protective effects of MSCs in both the ALF model mice and a co-culture model in an IL-4 dependent manner.Conclu-sions:In vivo and in vitro studies showed that MSCs ame-liorated ALF through an IL-4-dependent macrophage switch toward the M2 anti-inflammatory phenotype.The findings may have clinical implications in that overexpression of IL-4 may enhance the therapeutic effects of allogeneic MSC transplantation in the treatment of ALF. | Jinglin Wang Haoran Ding Jingchao Zhou Senzhe Xia Xiaolei Shi Haozhen Ren | 2022 | Journal of Clinical and Translational Hepatology2022，10，4： | 2 |
| 6 | Comparative study on pyrolysis of bamboo in microwave pyrolysis-reforming reaction by binary compound impregnation and chemical liquid deposition modified HZSM-5显示文摘The deactivation of catalyst is a significant reason for its limited application during the catalytic fast pyrolysis(CFP)process.To reduce the coke formation,binary compound impregnation(BCI)and chemical liquid deposition(CLD)were used to modify HZSM-5 catalysts.At the same time,the self-designed microwave reactor separated the pyrolysis of bamboo and catalytic upgrading of primary vapor,which made the catalytic effect more thorough.Experimental results indicated that CLD used TiO 2 deposition to cover external acid sites,while BCI by phosphorus-nickel could cover and partly destroy superficial acid sites through two different ways.Within the scope of the loaded amount studied,the yield of aromatic hydrocarbons in the oil phase increased at first and then decreased,while the coke formation reduced continuously.BTX(benzene,toluene and xylene),the most valuable product in bio-oil,drastically increased by 39.1%and 22.6%respectively over the CLD and BCI modified catalysts.Considering the catalytic performance as well as cost,CLD over HZSM-5 has more advantages in the CFP process to upgrade bio-oil. | Haoran Du Zhaoping Zhong Bo Zhang Kun Shi Zhaoying Li | 2020 | Journal of Environmental Sciences2020，32，8： | 2 |
| 7 | PM_(2.5) exposure associated with microbiota gut-brain axis:Multi-omics mechanistic implications from the BAPE study显示文摘Recent studies have shown that PM_(2.5) may activate the hypothalamus-pituitary-adrenal(HPA)axis by inducing hormonal changes,potentially explaining the increase in neurological and cardiovascular risks.In addition,an association between PM_(2.5) and gut microbiota and metabolites was established.The above evidence represents crucial parts of the gut-brain axis(GBA).In view of this evidence. | Tiantian Li Jianlong Fang Song Tang Hang Du Liang Zhao Yanwen Wang Fuchang Deng Yuanyuan Liu Yanjun Du Liangliang Cui Wanying Shi Yan Wang Jiaonan Wang Yingjian Zhang Xiaoyan Dong Ying Gao Yu Shen Li Dong Huichan Zhou Qinghua Sun Haoran Dong Xiumiao Peng Yi Zhang Meng Cao Hong Zhi Jingyang Zhou Xiaoming Shi | 2022 | The Innovation2022，3，2： | 2 |
| 8 | Biological distribution of ^(131)I-labeled anti-nucleus antigen monoclonal antibody chTNT in patients with pulmonary metastases from differentiated thyroid carcinoma显示文摘This work is to study the in vivo biological distribution of 131I-labeled mouse/human chimeric monoclonal antibody (131I-chTNT) in patients with pulmonary metastases from differentiated thyroid carcinoma. Ten patients with differentiated thyroid carcinoma were injected intravenously with a single dose of 131I-chTNT (5 MBq·kg-1 body weight). Radioactivity of blood and urine samples was measured at different time points. The in vivo stability and the metabolic status of 131I-chTNT were detected with supersaturated trichloroacetic acid. Continuous imaging was performed to outline the region of interest (ROI) and estimate the intake level on the whole body,major organs and tumor lesions at different time points. The serum time-radioactivity curve of 131I-chTNT accorded with the two-compartment model after a single intravenous injection: T1/2(h)=65.28±14.83,AUC0-t(MBq·h·mL-1)=8.93±1.32,AUC0-∞(MBq·h·mL-1)=10.58±2.19,and CL(mL·min-1·kg-1)=1635±359. The time-radioactivity percentage curve of 131I-chTNT urine excretion accorded with the one-compartment model after a single intravenous injection: T1/2(h)=99±10,and accumulative (31±9) % radioactivity of the injected dose was excreted in urine in one week. The percentages of serum 131I-chTNT in radioactive components at 24,48 and 72 h were over 95% and it was still (88±7) % at 168 h. As for chemical composition of radioactive substances in urine,radioactivity in urine samples originated from free 131I by 100%. Radioactivity of 131I-chTNT after intravenous administration was mainly concentrated in the lung and liver,least in the brain. Radioactivity of tumor tissues reached the maximum at 24 h and the tumor/normal tissue (T/N) ratio reached the maximum (1.28~3.83) during 3~7 d. The characteristics of in vivo biological distribution of 131I-chTNT in patients with pulmonary metastases from differentiated thyroid carcinoma are favorable for its therapeutic application for the metastasis tumors. | MA Qingjie GAO Shi ZHAO Jie WEN Qiang BAI Lin ZHANG Haoran ZHAO Guoqing | 2008 | Nuclear Science and Techniques2008，19，4： | 1 |
| 9 | Plasma from healthy donors protects blood-brain barrier integrity via FGF21 and improves the recovery in a mouse model of cerebral ischaemia显示文摘Background Healthy plasma therapy reverses cognitive deficits and promotes neuroplasticity in ageing brain disease.However,whether healthy plasma therapy improve blood-brain barrier integrity after stroke remains unknown.Methods Here,we intravenously injected healthy female mouse plasma into adult female ischaemic stroke C57BL/6 mouse induced by 90 min transient middle cerebral artery occlusion for eight consecutive days.Infarct volume,brain atrophy and neurobehavioural tests were examined to assess the outcomes of plasma treatment.Cell apoptosis,blood-brain barrier integrity and fibroblast growth factor 21 knockout mice were used to explore the underlying mechanism.Results Plasma injection improved neurobehavioural recovery and decreased infarct volume,brain oedema and atrophy after stroke.Immunostaining showed that the number of transferase dUTP nick end labelling+/NeuN+cells decreased in the plasma-injected group.Meanwhile,plasma injection reduced ZO-1,occluding and claudin-5 tight junction gap formation and IgG extravasation at 3 days after ischaemic stroke.Western blot results showed that the FGF21 expression increased in the plasma-injected mice.However,using FGF21 knockout mouse plasma injecting to the ischaemic wild-type mice diminished the neuroprotective effects.Conclusions Our study demonstrated that healthy adult plasma treatment protected the structural and functional integrity of blood-brain barrier,reduced neuronal apoptosis and improved functional recovery via FGF21,opening a new avenue for ischaemic stroke therapy. | Muyassar Mamtilahun Lu Jiang Yaying Song Xiaojing Shi Chang Liu Yixu Jiang Lidong Deng Haoran Zheng Hui Shen Yongfang Li Zhijun Zhang Yongting Wang Yaohui Tang Guo-Yuan Yang | 2021 | Stroke & Vascular Neurology2021，6，4： | 1 |
| 10 | Phase transferring luminescent gold nanoclusters via single-stranded DNA显示文摘Atomically precise gold nanoclusters(Au NCs) are an emerging class of quantum-sized nanomaterials with discrete electronic energy levels, which has led to a range of attractive electronic and optical applications. Nevertheless, the lack of general methods to transfer Au NCs protected with hydrophobic ligands to an aqueous solution hampers their use in physiological settings. Here,we developed a single-stranded DNA-based approach that could transfer ~90% hydrophobic Au NCs into an aqueous solution.We experimentally and theoretically established that multivalent electrostatic and hydrophobic interactions between DNA strands and the hydrophobic ligand layer on Au NCs resulted in monodispersed DNA-coated Au NCs with high physical integrity in an aqueous solution. The fluorescence quantum yield of Au NCs was increased by ~13 fold, and surface-constrained DNA retained the specific recognition ability for biosensing. We further demonstrated the versatility of this phase-transfer approach, which thus holds great potential to advance biological and medical applications of Au NCs. | Yu Li Hui Lu Zhibei Qu Mingqiang Li Haoran Zheng Peilin Gu Jiye Shi Jiang Li Qian Li Lihua Wang Jing Chen Chunhai Fan Jianlei Shen | 2022 | Science China Chemistry2022，65，6： | 1 |
| 11 | Nanodiamonds decorated yolk-shell ZnFe_(2)O_(4) sphere as magnetically separable and recyclable composite for boosting antibiotic degradation performance显示文摘Photocatalysis is an environmentally friendly and energy-saving technology, which can effectively remove persistent dangerous pollutants in the water. Pitifully, optical absorption capacity and carrier separation have become major bottlenecks for marvelous photocatalytic performance of photocatalysts.Herein, to address these issue, Nanodiamonds/yolk-shell ZnFe_(2)O_(4) spheres(NDs/ZFO) nanocomposites were successfully constructed via a facile two-step of solvothermal and calcination methods. The synthesized optimal NDs/ZFO-10 nanocomposite exhibits superior photocatalytic degradation activity of antibiotic under visible light, approximately 85% of the total tetracycline(TC) is degraded, and this photocatalyst shows durable cycling stability. This stems from two aspects of refinement: improvement of light absorption capacity and photo-induced charges migration and separation. In addition, the NDs/ZFO composite photocatalyst features excellent magnetic recovery capability, facilitating the recovery of photocatalyst in industry. This study opens a new chapter in the combination of NDs with magnetic materials, and deepens the understanding of the application of NDs modified composite photocatalysts. | Jingjing Pan Haoran Sun Keyi Chen Yuhao Zhang Pengnian Shan Weilong Shi Feng Guo | 2023 | Chinese Journal of Chemical Engineering2023，54，2： | 0 |
| 12 | Highly efficient visible/near-infrared light photocatalytic degradation of antibiotic wastewater over 3D yolk-shell ZnFe_(2)O_(4)supported 0D carbon dots with up-conversion property显示文摘The development of effective visible and near-infrared photocatalysts is highly promising in the current field of photocatalysis.Herein,carbon dots/ZnFe_(2)O_(4)(CDs/ZFO)with coating zero dimensional(0D)CDs on the surface of three dimensional(3D)yolk-shell ZFO spheres was designed and synthesized via a selftemplated solvothermal method.The as-prepared CDs/ZFO composites displayed outstanding visible and near-infrared photocatalytic degradation activity of tetracycline(TC),and the optimal 3%CDs/ZFO sample with loading 3%(mass)CDs displayed the highest photocatalytic TC degradation ability under visible light(79.5%within 120 min)and near-infrared light(41%within 120 min).The enhancement of photocatalytic activity for CDs/ZFO composite is mainly ascribed to the fact that 0D/3D yolk-shell CDs/ZFO structure not only effectively reflect the incident light to increase the utilization efficiency of solar light,but also utilize the up-conversion photoluminescence and electronic conductivity properties of CDs to broaden sunlight absorption range and promote separation and transfer of electron-hole pairs. | Weilong Shi Jie Gao Haoran Sun Zhongyi Liu Feng Guo Lijing Wang | 2022 | Chinese Journal of Chemical Engineering2022，35，9： | 0 |
| 13 | In-depth understanding of ionic liquid assisted perovskite film formation mechanism for two-step perovskite photovoltaics显示文摘Ionic liquids(ILs)have been widely applied in the one-step fabrication of perovskite with noticeable enhancement in the device performance.However,in-depth mechanism of ionic-liquid-assisted perovskite film formation is not well understood for also important two-step perovskite fabrication method,with better control of crystallization behavior.In this work,we introduced ionic liquid methylammonium formate(MAFa)into organic salt to produce perovskite film via a two-step method.Systematic investigations on the influence of MAFa on the perovskite thin film formation mechanism were performed.Ionic liquid is shown to assist lowering the perovskite formation enthalpy upon the density functional theory(DFT)calculation,leading to an accelerated crystallization process evidenced by in-situ UV-Vis absorption measurement.A gradient up-down distribution of ionic liquid has been confirmed by timeof-flight SIMS.Importantly,besides the surface passivation,we found the HCOO-can diffuse into the perovskite crystals to fill up the halide vacancies,resulting in significant reduction of trap states.Uniform perovskite films with significantly larger grains and less defect density were prepared with the help of MAFa IL,and the corresponding device efficiency over 23%was obtained by two-step process with remarkably improved stability.This research work provides an efficient strategy to tune the morphology and opto-electronic properties of perovskite materials via ionic-liquid-assisted two-step fabrication method,which is beneficial for upscaling and application of perovskite photovoltaics. | Fei Wang Patrick Wai-Keung Fong Zhiwei Ren Hai-Lun Xia Kang Zhou Kai Wang Jiajie Zhu Xiaoxi Huang Xiao-Yuan Liu Hao Wang Yumeng Shi Haoran Lin Quanyao Zhu Gang Li Hanlin Hu | 2022 | Journal of Energy Chemistry2022，31，10： | 0 |
| 14 | Cellular Automata Simulations of Random Pitting Process on Steel Reinforcement Surface显示文摘The corrosion of reinforcement in the concrete will cause the effective cross-sectional area of reinforcement to be weakened and the performance of reinforcement to change and lead to the degradation of the bond behavior between reinforcement and concrete,which can seriously affect the mechanical properties of the structural elements.Therefore,it is of great practical significance to accurately simulate the corrosion morphology and the corrosion products of reinforcement.This paper improves the previous cellular automata models and establishes a new cellular automata model framework for simulating the random pitting corrosion process of reinforcement in concrete.This model defines the detailed local evolution laws of material transformation,penetration and diffusion processes during the corrosion.Meanwhile,based on the spatial inhomogeneity of corrosion,three parameters are introduced into the model:The dissolution probability parameter p,the local corrosion space parameterλand the local corrosion probability parameterε,which establishes a parameterized model of corrosion probability.The research results show that the common steel reinforcement corrosion morphology can be obtained by adjusting the parameters.The volume expansion rate of the corrosion products is about 2,which is consistent with the relevant experimental research results.The cellular automata model in this paper can simulate the common steel reinforcement corrosion morphology and corrosion products in engineering. | Ying Wang Haoran Shi Shibo Ren | 2021 | Computer Modeling in Engineering & Sciences2021，，9： | 0 |
| 15 | Local-to-Global Causal Reasoning for Cross-Document Relation Extraction显示文摘Cross-document relation extraction(RE),as an extension of information extraction,requires integrating information from multiple documents retrieved from open domains with a large number of irrelevant or confusing noisy texts.Previous studies focus on the attention mechanism to construct the connection between different text features through semantic similarity.However,similarity-based methods cannot distinguish valid information from highly similar retrieved documents well.How to design an effective algorithm to implement aggregated reasoning in confusing information with similar features still remains an open issue.To address this problem,we design a novel local-toglobal causal reasoning(LGCR)network for cross-document RE,which enables efficient distinguishing,filtering and global reasoning on complex information from a causal perspective.Specifically,we propose a local causal estimation algorithm to estimate the causal effect,which is the first trial to use the causal reasoning independent of feature similarity to distinguish between confusing and valid information in cross-document RE.Furthermore,based on the causal effect,we propose a causality guided global reasoning algorithm to filter the confusing information and achieve global reasoning.Experimental results under the closed and the open settings of the large-scale dataset Cod RED demonstrate our LGCR network significantly outperforms the state-ofthe-art methods and validate the effectiveness of causal reasoning in confusing information processing. | Haoran Wu Xiuyi Chen Zefa Hu Jing Shi Shuang Xu Bo Xu | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，7： | 0 |
| 16 | Tellurium-driven maple leaf-shaped manganese nanotherapeutics reshape tumor microenvironment via chemical transition in situ to achieve highly efficient radioimmunotherapy of triple negative breast cancer显示文摘The therapeutic efficacy of radioimmunotherapy against triple negative breast cancer(TNBC)is largely limited by the complicated tumor microenvironment(TME)and its immunosuppressive state.Thus developing a strategy to reshape TME is expected to achieve highly efficient radioimmunotherapy.Therefore,we designed and synthesized a tellurium(Te)-driven maple leaf manganese carbonate nanotherapeutics(MnCO3@Te)by gas diffusion method,but also provided a chemical catalytic strategy in situ to augment ROS level and activate immune cells for improving cancer radioimmunotherapy.As expected,with the help of H2O2 in TEM,MnCO3@Te heterostructure with reversible Mn3+/Mn2+transition could catalyze the intracellular ROS overproduction to amplify radiotherapy.In addition,by virtue of the ability to scavenge H+in TME by carbonate group,MnCO3@Te directly promote the maturation of dendritic cells and macrophage M1 repolarization by stimulator of interferon genes(STING)pathway activation,resulting in remodeling immuno-microenvironment.As a result,MnCO3@Te synergized with radiotherapy and immune checkpoint blockade therapy effectively inhibited the breast cancer growth and lung metastasis in vivo.Collectively,these findings indicate that MnCO3@Te as an agonist,successfully overcome radioresistance and awaken immune systems,showing promising potential for solid tumor radioimmunotherapy. | Wei Huang Sujiang Shi Haoran Lv Zhenyu Ju Qinghua Liu Tianfeng Chen | 2023 | Bioactive Materials2023，，9： | 0 |
| 17 | Enzyme Commission Number Prediction and Benchmarking with Hierarchical Dual-core Multitask Learning Framework显示文摘Enzyme commission(EC)numbers,which associate a protein sequence with the biochemical reactions it catalyzes,are essential for the accurate understanding of enzyme functions and cellular metabolism.Many ab initio computational approaches were proposed to predict EC numbers for given input protein sequences.However,the prediction performance(accuracy,recall,and precision),usability,and efficiency of existing methods decreased seriously when dealing with recently discovered proteins,thus still having much room to be improved.Here,we report HDMLF,a hierarchical dual-core multitask learning framework for accurately predicting EC numbers based on novel deep learning techniques.HDMLF is composed of an embedding core and a learning core;the embedding core adopts the latest protein language model for protein sequence embedding,and the learning core conducts the EC number prediction.Specifically,HDMLF is designed on the basis of a gated recurrent unit framework to perform EC number prediction in the multi-objective hierarchy,multitasking manner.Additionally,we introduced an attention layer to optimize the EC prediction and employed a greedy strategy to integrate and fine-tune the final model.Comparative analyses against 4 representative methods demonstrate that HDMLF stably delivers the highest performance,which improves accuracy and F1 score by 60%and 40%over the state of the art,respectively.An additional case study of tyrB predicted to compensate for the loss of aspartate aminotransferase aspC,as reported in a previous experimental study,shows that our model can also be used to uncover the enzyme promiscuity.Finally,we established a web platform,namely,ECRECer(http://gffzz4919e3ba129e423dsfwno0ffpp6on6ofk.ffgz.tsg.suse.edu.cn),using an entirely could-based serverless architecture and provided an offline bundle to improve usability. | Zhenkun Shi Rui Deng Qianqian Yuan Zhitao Mao Ruoyu Wang Haoran Li Xiaoping Liao Hongwu Ma | 2023 | Research2023，，3： | 0 |
| 18 | Ionic liquid engineering enabled in-plane orientated 1D perovskite nanorods for efficient mixed-dimensional perovskite photovoltaics显示文摘Mixed-dimensional engineering of perovskite material has been demonstrated as a facile and promising strategy to improve both photovoltaic performance and long-term stability of perovskite solar cells(PSCs).In this study,we report an in-plane preferred orientation of 1D perovskite induced by an ionic liquid(IL)of 1-(3-cyanopropyl)-3-methylimidazolium chloride(CPMIMCl)for the first time via sequential deposition approach,leading to a mixed dimensional perovskite thin films.The generated one-dimensional(1D)CPMIMPbI3 with in-plane orientation resides at the grain boundaries of three-dimensional(3D)perovskite can be appreciably observed from the morphology level,leading to creation of high-quality films with large grain size with more efficient defect passivation.Moreover,the dispersion of IL in the bulk phase of perovskite material allows for the formation of 1D perovskite for multiple level passivation to inhibit non-radiative recombination and optimize carrier transport.This IL engineering strategy not only yields a mixed-dimensional perovskite heterostructure with in-plane orientation 1D perovskite nano-rods but also significantly improves the opto-electronic property with suppressed trap states.As a result,the CPMIMCl-treated PSCs show an enhanced photovoltaic performance with a champion power conversion efficiency(PCE)up to 24.13%.More importantly,benefiting from the hydrophobicity of formed 1D perovskite and defects suppression,the corresponding PSC demonstrates an excellent longterm stability and maintain 97.1%of its pristine PCE at 25C under 50%RH condition over 1000 h.This research provides an innovative perspective for employing the low dimensional engineering to optimize the performance and stability of photovoltaic devices. | Fei Wang Dawei Duan Kang Zhou YZBXue Xiao Liang Xianfang Zhou Chuangye Ge Chao Zhou Jin Xiang Jiajie Zhu Quanyao Zhu Haoran Lin Yumeng Shi Yonghua Chen Gang Li Hanlin Hu | 2023 | InfoMat2023，5，8： | 0 |
| 19 | Cooperative multi-target hunting by unmanned surface vehicles based on multi-agent reinforcement learning显示文摘To solve the problem of multi-target hunting by an unmanned surface vehicle(USV)fleet,a hunting algorithm based on multi-agent reinforcement learning is proposed.Firstly,the hunting environment and kinematic model without boundary constraints are built,and the criteria for successful target capture are given.Then,the cooperative hunting problem of a USV fleet is modeled as a decentralized partially observable Markov decision process(Dec-POMDP),and a distributed partially observable multitarget hunting Proximal Policy Optimization(DPOMH-PPO)algorithm applicable to USVs is proposed.In addition,an observation model,a reward function and the action space applicable to multi-target hunting tasks are designed.To deal with the dynamic change of observational feature dimension input by partially observable systems,a feature embedding block is proposed.By combining the two feature compression methods of column-wise max pooling(CMP)and column-wise average-pooling(CAP),observational feature encoding is established.Finally,the centralized training and decentralized execution framework is adopted to complete the training of hunting strategy.Each USV in the fleet shares the same policy and perform actions independently.Simulation experiments have verified the effectiveness of the DPOMH-PPO algorithm in the test scenarios with different numbers of USVs.Moreover,the advantages of the proposed model are comprehensively analyzed from the aspects of algorithm performance,migration effect in task scenarios and self-organization capability after being damaged,the potential deployment and application of DPOMH-PPO in the real environment is verified. | Jiawei Xia Yasong Luo Zhikun Liu Yalun Zhang Haoran Shi Zhong Liu | 2023 | Defence Technology(防务技术)2023，29，11： | 0 |
| 20 | CdS nanoparticles decorated hexagonal Fe_(2)O_(3) nanosheets with a Z-scheme photogenerated electron transfer path for improved visible-light photocatalytic hydrogen production显示文摘Photocatalytic water splitting for hydrogen production(H_(2))is one of the main potential applications of photocatalytic technology,which can use solar energy as the energy required for chemical reactions to alleviate the energy crisis.In this work,zero-dimensional/two-dimensional(0D/2D)contact surface CdS/α-Fe_(2)O_(3)(CF)heterojunction photocatalyst was synthesized via a simple solvothermal method.Photocatalytic hydrogen production experiments revealed that the CF-15 sample shows the optimal photocatalytic H_(2)rate(1806μmol·h^(-1)·g^(-1))and apparent quantum efficiency(AQE=13.7%atλ=420 nm).The enhancement of photocatalytic performance is mainly attributed to the contact of 0D/2D interface and the synergistic effect of Z-scheme electron transfer mechanism.This work provides an effective way for modified composite semiconductor photocatalyst by constructing special interface heterojunction to achieve highly efficiently catalysis. | Feng Guo Haoran Sun Yuxing Shi Fengyu Zhou Weilong Shi | 2022 | Chinese Journal of Chemical Engineering2022，35，3： | 0 |
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