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Biomechanism of resistance to retinal injury in woodpecker’s eyes

Science China(Life Sciences) 2020年第4期63卷 592-598页

作者： Shan Lu Xingyu Fan Sijian Liu Xiaoyu liu Lizhen Wang Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education School of Biological Science and Medical EngineeringBeihang UniversityBeijing 100191China Beijing Advanced Innovation Centre for Biomedical Engineering Beihang UniversityBeijing 102402China College of Bioengineering Chongqing UniversityChongqing 400044China

Retinal injury is the most common ocular impairment associated with shaken baby syndrome(SBS), which could lead to vision loss and blindness. However, a woodpecker does not develop retinal hemorrhages or detachment even at a high acceleration of 1,000×g during pecking. To understand the mechanism of retinal injury and its resistance strategy, we put insight into the special ability of the woodpecker to protect the retina against damage under acceleration–deceleration impact. In this study, the structural and mechanical differences on the eyes of the woodpecker and human were analyzed quantitatively based on anatomical observation. We developed finite element eye models of the woodpecker and human to evaluate the dynamic response of the retina to the shaking load obtained from experimental data. Moreover, several structural parameters and mechanical conditions were exchanged between the woodpecker and human to evaluate their effects on retinal injury in SBS. The simulation results indicated that scleral ossification, lack of vitreoretinal attachment, and rotational acceleration–deceleration impact loading in a woodpecker contribute to the resistance to retinal injuries during pecking. The above mentioned special physical structures and mechanical behavior can distribute the high strain in the posterior segment of the woodpecker’s retina, which decrease the risk of retinal injury to SBS.

关键词： shaken baby syndrome woodpecker retinal injury numerical simulations

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Adsorption-oxidation of hydrogen sulfide on Fe/walnut-shell activated carbon surface modified by NH_3-plasma

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Journal of Environmental Sciences 2018年第2期30卷 216-226页

作者： Ping Ning Sijian Liu Chi Wang Kai Li Xin Sun Lihong Tang Gui liu Faculty of Environmental Science and Engineering Kunming University of Science and Technology Faculty of Chemical Engineering Kunming University of Science and Technology

Walnut-shell activated carbon（WSAC） supported ferric oxide was modified by non-thermal plasma（NTP）, and the removal efficiency for hydrogen sulfide over Fe/WSAC modified by dielectric barrier discharge（DBD） was significantly promoted. The sample modified for10 min and 6.8 k V output（30 V input voltage） maintained 100% H2 S conversion over a long reaction time of 390 min. The surface properties of adsorbents modified by NTP under different conditions were evaluated by the methods of X-ray photoelectron spectroscopy（XPS）, Brunauer–Emmett–Teller（BET） analysis and in-situ Fourier transform infrared spectroscopy（FTIR）, to help understand the effect of the NTP treatment. NTP treatment enhanced the adsorption capacity of Fe/WSAC, which could due to the formation of micro-pores with sizes of0.4, 0.5 and 0.75 nm. XPS revealed that chemisorbed oxygen changed into lattice oxygen after NTP treatment, and lattice oxygen is beneficial for H2 S oxidation. From the in-situ FTIR result,transformation of the reaction path on Fe/WSAC was observed after NTP modification. The research results indicate that NTP is an effective method to improve the surface properties of the Fe/WSAC catalyst for H2 S adsorption-oxidation.

关键词： Dielectric barrier discharge Non-thermal plasma Surface modification Hydrogen sulfide Fe/walnut-shell activated carbon（Fe/WSAC）

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Photocatalytic reduction of Cr(Ⅵ) over cinder-based nanoneedle in presence of tartaric acid: Synergistic performance and mechanism

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Journal of Environmental Sciences 2021年第9期33卷 194-204页

作者： Wenwu Yang Zhenfei Yang Luhua Shao sijian Li Yutang liu Xinnian Xia College of Chemistry and Chemical Engineering Hunan UniversityChangsha 410082China Advanced Catalytic Engineering Research Center of the Ministry of Education Hunan UniversityChangsha 410082China College of Environmental Science and Engineering Hunan UniversityLushan South RoadYuelu DistrictChangsha 410082China

Cr(Ⅵ) is a common heavy metal ion, which will seriously harm human body and environment.Therefore, the removal of Cr(Ⅵ) has become an attractive topic.In this work, cinder was used as a raw material to synthesize a nanoneedle material: γ-(AlOOH@FeOOH)(γ-Al@Fe).The physicochemical properties of γ-Al@Fe were thoroughly characterized, and its effectiveness as a catalyst for photocatalytic reduction of Cr(Ⅵ) was evaluated.The results showed that Cr(Ⅵ) could be efficiently reduced by γ-Al@Fe in the presence of tartaric acid(TA) under visible light.The variable factors on the reaction were investigated in detail, and the results showed that under optimal conditions(γ-Al@Fe 0.4 g/L, TA 0.6 g/L, pH 2), Cr(Ⅵ)was completely reduced within 7 min.Besides, scavenger experiments and EPR proved that O_(2)^(·-) and CO_(2)^(·-) played a significant role in the photocatalytic reduction of Cr(Ⅵ).TA acts as a sacrificial agent to trap the holes and generate strong reducing free radicals: CO_(2)^(·-).Dissolving O_(2) could react with electrons to generate O_(2)^(·-).This work discussed the performance and mechanism of photocatalytic reduction of Cr(Ⅵ) in detail, which provided a new idea for the resource utilization of solid waste and the treatment of heavy metal sewage.

关键词： Cinder Tartaric acid Visible light photocatalysis Cr(Ⅵ)removal Reduction mechanism

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Constructing Ti_(3)C_(2) MXene/ZnIn_(2)S_(4) heterostructure as a Schottky catalyst for photocatalytic environmental remediation

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Green Energy & Environment 2022年第2期7卷 246-256页

作者： sijian Li Luhua Shao Zhenfei Yang Shu Cheng Cong Yang Yutang liu Xinnian Xia College of Chemistry and Chemical Engineering Hunan UniversityChangshaHunan410082China College of Environmental Science and Engineering Hunan UniversityLushan South RoadYuelu DistrictChangshaHunan410082China

It is highly demanded to steer the charge flow in semiconductor for efficient photocatalytic environmental remediation.Herein,we designed an interfacial contact Ti_(3)C_(2) MXene/ZnIn_(2)S_(4) nanosheets(TC/ZISNS) Schottky heterostructure which could greatly enhance photogenerated charge separation of ZnIn_(2)S_(4) (ZIS).Through TEM and XPS measurement,the strong interface coupling between 2D ZnIn_(2)S_(4) nanosheets and 2D Ti_(3)C_(2) MXene were explained,and the formation of Schottky heterostructure was demonstrated by electrochemical method.To investigate the photocatalytic activity of as-prepared samples,the photocatalytic reduction of Cr(VI) and photocatalytic oxidation degradation tetracycline hydrochloride(TC-H) experiments were carried out.The results showed that the Schottky catalyst(10%-TC/ZISNS) possessed the optimum photocatalytic efficiency.Especially,the apparent rate constant of Cr(VI) reduction with 10%-TC/ZISNS was 3.9 times than that of pure ZIS.The photocatalytic performance of 10%-TC/ZISNS toward degradation rate of TC-H was 1.8 times than that of pure ZIS.Finally,a possible mechanism for great enhancement of visible-light driven photocatalytic activity in the TC/ZISNS system was provided.On the whole,this work provided a new insight on 2D/2D contact Schottky heterostructure for enhancing photocatalytic activity.

关键词： Schottky heterostructure charge

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A New Behavior-Assisted Semantic Recognition Method for Smart Home

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中国通信：英文版 2020年第6期17卷 26-36页

作者： Weijin Jiang Xiaoliang liu Xingbao liu Yang Wang sijian Lv Fang Ye School of Computer Science and Technology Hunan University of Technology and BusinessChangsha 410205China Key Laboratory of Hunan Province for New Retail Virtual Reality Technology Hunan University of Technology and BusinessChangsha 410205China Institute of Big Data and Internet Innovation Mobile E-business Collaborative Innovation Center of Hunan ProvinceHunan University of Technology and BusinessChangsha 410205China School of Computer Science and Technology Wuhan University of TechnologyWuhan 430073China

In the recent Smart Home(SH)research work,intelligent service recommendation technique based on behavior recognition,it has been extensively preferred by researchers.However,most current research uses the Semantic recognition to construct the user’s basic behavior model.This method is usually restricted by environmental factors,the way these models are built makes it impossible for them to dynamically match the services that might be provided in the user environment.To solve this problem,this paper proposes a Semantic behavior assistance(Semantic behavior assistance,SBA).By joining the semantic model on the intelligent gateway,building an SA model,in this way,a logical Internet networks for smart home is established.At the same time,a behavior assistant method based on SBA model is proposed,among them,the user environment-related entities,sensors,devices,and user-related knowledge models exist in the logical interconnection network of the SH system through the semantic model.In this paper,the data simulation experiment is carried out on the method.The experimental results show that the SBA model is better than the knowledge-based pre-defined model.

关键词： smart home(SH) semantic behavior assistance(SBA) user behavior intention behavior assisted method

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Biological analysis of woodpecker’s brain after impact experiments

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Science China(Technological Sciences) 2021年第5期64卷 1101-1106页

作者： XU Peng NI YiKun liu JingLong ZHANG WeiRong liu sijian WANG LiZhen FAN YuBo Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education Beijing Advanced Innovation Centre for Biomedical EngineeringSchool of Biological Science and Medical EngineeringBeihang UniversityBeijing 100083China

Woodpeckers can withstand a fierce impact during pecking.Previous studies have focused on the biomechanical analysis of the pecking process,the properties of the beak and hyoid bone of woodpecker;however,the biological characteristics of the woodpecker brain are also important in resisting impact injuries.We employed impact experiments and biological analysis in normal and injured brains to reveal the impact-resistant biological characteristics of woodpecker brains,as well as the impact energy’s biological effects on the woodpecker brain.The hoopoe,which has a similar size but only a slight pecking behavior,was selected as the control group to compare brain morphology and neuronal cells differences in normal brains between woodpecker and hoopoe by sectioning and staining.A loading device was designed to conduct a quantifiable impact energy to the woodpeckers’head.Four groups of woodpeckers were impacted with the same energy on the forehead,beak,tempus and occiput,respectively.Biological changes in the injured brains were evaluated by Nissl staining and enzyme-linked immunosorbent assay.The results showed that:(1)woodpeckers had a larger cerebellum and a higher density of Nissl bodies than hoopoe;(2)Nissl apoptosis appeared in the brain samples after the forehead and the occiput impact experiments,but no obvious Nissl body apoptosis was observed after impact on the tempus and the beak;(3)β-amyloid protein accumulated in the normal status woodpecker brain.This study reveals that:woodpecker brain morphology is well-adapted to impact,woodpecker heads display location-dependent protective performance,with beak and tempus regions having a better protective performance than the forehead and occiput,Nissl apoptosis appears in injured woodpecker brains,and that the accumulation ofβ-amyloid protein does not show a direct relationship with the injury state of woodpecker’s brain tissue in our study.

关键词： woodpecker biomechanics impact experiments impact resistance biological analysis

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Facile detection of pesticides using atmospheric pressure matrix-assisted laser desorption ionization mass spectrometry with multi-walled carbon nanotubes-based matrix

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Chinese Chemical Letters 2023年第1期34卷 569-573页

作者： sijian Chen Huanxi Zhao Lili Jiao Zhenhuan Wang Mengya Zhao Lu Tian Yang Xiu Shuying liu Jilin Ginseng Academy Changchun University of Chinese MedicineChangchun 130117China Changchun Institute of Applied Chemistry Chinese Academy of ScienceChangchun 130022China

A novel atmospheric pressure matrix-assisted laser desorption ionization mass spectrometry(AP-MALDIMS)method was established for the facile detection of pesticides in ambient environment.Four kinds of multi-walled carbon nanotubes(MWCNTs)-based matrix were synthesized and utilized to enhance the ionization efficiency of pesticides.Organophosphorus,anilinopyrimidine,carbamate,triazine,triazole and benzimidazole pesticides were directly desorbed and ionized from MWCNTs-based matrix in ambient environment,showing clear background and good sensitivity.In a comparison,Fe3O4-doped MWCNTs improved the intensity of pesticide ions more than the other three matrices.Moreover,MWCNTs-based matrix exhibited better performance than organic matrix.Quantitative analysis of pesticides using APMALDI-MS was validated to be adequate linearity,repeatability and sensitivity.Overall,AP-MALDI-MS combined with MWCNTs-based matrix enables the directly qualitative and quantitative analysis of pesticides in ambient environment.

关键词： Atmospheric pressure MALDI Pesticides MWCNTs-based matrix Ambient ionization

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Evolutionary Dynamics Modeling of Symbolic Social Network Structure Equilibrium

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China Communications 2020年第10期17卷 229-240页

作者： Weijin Jiang sijian Lv Yirong Jiang Jiahui Chen Fang Ye Xiaoliang liu College of Computer and Information Engineering Hunan University of Technology and BusinessChangsha 410205China Key Laboratory of Hunan Province for New Retail Virtual Reality Technology Hunan University of Technology and BusinessChangsha 410205China Institute of Big Data and Internet Innovation Mobile E-business Collaborative Innovation Center of Hunan ProvinceHunan University of CommerceChangsha 410205China Tonghua Normal University Tonghua 134002China

The use of symbol attributes on the side of symbolic social networks to analyze,understand,and predict the topology,function,and dynamic behaviour of complex networks,and has important theoretical significance for personalized recommendations,attitude prediction,user feature analysis,and clustering and application value.However,due to the huge scale of online social networks,this poses a challenge to traditional symbolic social network analysis methods.Based on the theory of structural equilibrium,this paper studies the evolutionary dynamics of symbolic social networks,proposes the energy function of weak structural equilibrium theory,and uses the evolution of evolutionary algorithms to obtain the weak imbalance of the network.The simulation experiment results show that the calculation method in this paper can get the optimal solution faster.It provides an idea for the study of real and complex social networks.

关键词： incremental calculation symbolic network weak structure equilibrium evolutionary algorithms

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Optimization of Load Balancing Algorithm for Virtual Machine Dynamic Migration under Mobile Cloud Computing

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China Communications 2020年第6期17卷 237-245页

作者： Weijin Jiang Fang Ye Shengjie Yang Wei liu Xiaoliang liu sijian Lv School of Computer Science and Technology Hunan University of Technology and BusinessChangsha 410205China Key Laboratory of Hunan Province for New Retail Virtual Reality Technology Hunan University of Technology and BusinessChangsha 410205China School of Computer Science and Technology Wuhan University of TechnologyWuhan 430073China

As one of the key technologies of cloud computing,the virtualization technology can virtualize all kinds of resources and integrate them into the unified planning of the cloud computing management platform.The migration of virtual machines is one of the important technologies of virtual machine applications.However,there are still many deficiencies in the implementation of load balancing by virtual machine dynamic migration in cloud computing.Traditional triggering strategy thresholds are mostly fixed.If there is an instantaneous peak,it will cause migration,which will cause a waste of resources.In order to solve this problem,based on improving the dynamic migration framework,this paper proposes node selection optimization algorithm and node load balancing strategy and designs a prediction module,which uses a one-time smooth prediction to avoid the shortcoming of peak load moment.The simulation experiments and conclusions analysis results show that the fusion algorithm has performance advantages obvious.

关键词： cloud computing dynamic migration load balance node selection load value prediction

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Measurement of CO_(2) adsorption capacity with respect to different pressure and temperature in sub-bituminous: implication for CO_(2) geological sequestration

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Frontiers of Earth Science 2023年第3期17卷 752-759页

作者： sijian ZHENG Shuxun SANG Shiqi liu Meng WANG Lutong CAO Xin JIN Guangjun FENG Yi YANG Jiangsu Key Laboratory of Coal-based Greenhouse Gas Control and Utilization China University of Mining and TechnologyXuzhou 221108China Carbon Neutrality Institute China University of Mining and TechnologyXuzhou 221008China School of Resources and Geosciences China University of Mining and TechnologyXuzhou 221116China China Coal Technology and Engineering Group Coal Mining Research Insitute Beijing 100013China Xi'an Research Institute China Coal Technology and Engineering GroupXi'an 710077China

CCUS (carbon capture, utilization, and storage) technology is regarded as a bottom method to achieve carbon neutrality globally. CO_(2) storage in deep coal reservoirs serves as a feasible selection for CCUS, and its storage potential can be attributed to the CO_(2) adsorption capacity of the coal. In this paper, a series of CO_(2) adsorption isotherm experiments were performed at different pressures and temperatures in sub-bituminous coal from the southern Junggar Basin (reservoir temperature ∼25.9°C and pressure ∼3.91 MPa). In addition, the high-pressure CO_(2) adsorption characteristics of the southern Junggar Basin coal were characterized using a supercritical D-R adsorption model. Finally, the CO_(2) storage capacities in sub-bituminous coal under the in situ reservoir temperature and pressure were analyzed. Results indicated that the excess adsorption capacities increase gradually with increasing injection pressure before reaching an asymptotic maximum magnitude of ∼34.55 cm3/g. The supercritical D-R adsorption model is suitable for characterizing the excess/absolute CO_(2) adsorption capacity, as shown by the high correlation coefficients > 0.99. The CO_(2) adsorption capacity increases with declining temperature, indicating a negative effect of temperature on CO_(2) geological sequestration. By analyzing the statistical relationships of the D-R adsorption fitting parameters with the reservoir temperature, a CO_(2) adsorption capacity evolution model was established, which can be further used for predicting CO_(2) sequestration potential at in situ reservoir conditions. CO_(2) adsorption capacity slowly increases before reaching the critical CO_(2) density, following a rapid decrease at depths greater than ∼800 m in the southern Junngar Basin. The research results presented in this paper can provide guidance for evaluating CO_(2) storage potential in deep coal seams.

关键词： CCUS CO_(2)adsorption capacity pore structure CO_(2)geological sequestration Junggar Basin

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