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Synergetic degradation of Methylene Blue through photocatalysis and Fenton reaction on two-dimensional molybdenite-Fe

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Journal of Environmental Sciences 2022年第1期34卷 11-23页

作者： chang liu Bingqiao Yang Jianxin Chen Feifei Jia Shaoxian song Hubei Key Laboratory of Mineral Resources Processing and Environment Wuhan University of TechnologyWuhan 430070China Xingfa School of Mining Engineering Wuhan Institute of TechnologyWuhan 430073China School of Resources and Environmental Engineering Wuhan University of TechnologyWuhan 430070China

The greatest problem in conventional Fenton reaction is the slow production of ROS(reactive oxygen species)because of the inefficient Fe^(3+)/Fe^(2+) conversion.Based on the extraordinary photo-response property of two-dimensional molybdenite(2DM),photogenerated electrons can be easy separated to accelerate the regeneration of Fe^(2+).In this work,Fe^(2+)-anchored 2DM(2DM-Fe)was prepared and used as a heterogeneous Fenton catalyst to investigate the degradation efficiency to Methylene Blue(MB)in the presence of light.According to experimental results,2DM-Fe exhibited extraordinary catalytic activity in MB elimination,which ascribed to the synergetic effect of photogenerated carriers and anchored Fe^(2+) to H_(2)O_(2) activation.In addition,2DM-Fe showed nearly 100%degradation efficiency to MB within 5 cycles with slight leaching amount of Mo and Fe ions,implying the strong stability and reusability in H_(2)O_(2) system.Furthermore,the influences of H_(2)O_(2) and 2DM-Fe dosages,pH values as well as the degradation efficiency to different dyes were also investigated.According to quenching experiments and EPR(electron paramagnetic resonance)test,the degradation mechanism of MB mainly ascribed to the oxidation of HO•and•O_(2)^(−).This finding provides a novel strategy to design rational Fenton catalyst and has great significance to water remediation in the future.

关键词： Two-dimensional molybdenite Fenton Photocatalysis Methylene Blue

Effect of strain rate on fracture behaviour of Cr18Ni11Ti stainless steel at high temperatures

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Journal of Iron and Steel Research(International) 2022年第6期29卷 1004-1011页

作者： Xin-li song chang-hu Huang Juan Jia Jing liu The State Key Laboratory of Refractories and Metallurgy Wuhan University of Science and TechnologyWuhan 430081HubeiChina Hubei Engineering Technology Research Center of Marine Materials and Service Safety Wuhan 430081HubeiChina

The effect of strain rate on the fracture behaviour of Cr18Ni11Ti stainless steel at high temperatures was analysed.The steel was subjected to solid solution treatment at 1050°C and ageing at 650°C for 24 h.The high-temperature tensile properties of Cr18Ni11Ti stainless steel were subsequently investigated via high-temperature tensile testing at 650°C and different strain rates(1.43×10^(–1),1.43×10^(–2),1.43×10^(–3),1.43×10^(–4),and 1.43×10^(–5) s^(–1)).The microstructure,precipitated phase,tensile fracture surface,and dislocation of the experimental steel were analysed by scanning electron microscopy,transmission electron microscopy and energy spectrometry.The results show that Cr18Ni11Ti stainless steel is mainly austenite,with a large number of twin crystals,chromium-rich precipitated phase and composite precipitated phases of TiC and AlMgCaO.With decreases in strain rate,the yield strength,ultimate tensile strength,and reduction in area also decrease.When the strain rate is high,obvious necking and ductile fracture occur in the experimental steel.However,when the strain rate is reduced to 1.43×10^(–5) s^(–1),the necking phenomenon is not obvious and intergranular brittle fracture appears.Greater segregation of P and S contents at grain boundaries,or dislocation motion creep and grain-boundary sliding creep,leads to brittle fracture of the steel at lower strain rates of 1.43×10^(–4) to 1.43×10^(–5) s^(–1).

关键词： Stainless steel Strain rate High-temperature mechanical property Grain boundary segregation Dislocation

Electrochemically activated nickel-cobalt double hydroxide for aqueous ammonium-zinc hybrid battery

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Nano Research 2023年第2期16卷 2495-2501页

作者： Qing Pan Peng Hei Yu song Jianming Meng chang liu Xiao-Xia liu Department of Chemistry Northeastern UniversityShenyang 110819China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern UniversityShenyang 110819China Key Laboratory of Data Analytics and Optimization for Smart Industry(Northeastern University) Ministry of EducationShenyang 110819China

Aqueous rechargeable ammonium-ion(NH^(4+))batteries(AAIBs)with ammonium ions as charge carriers possess many advantages,yet the relatively low discharge capacities(e.g.,<200 mAh·g^(−1))of the reported NH_(4)^(+)host materials hinder the development of AAIBs.Herein,we study the NH_(4)^(+)storage properties of an electrochemically activated NiCo double hydroxide(A-NiCo-DH)in neutral ammonium acetate electrolyte for the first time.The activation process extracts the interlayer anions(NO3from the host material,providing additional cation accommodation sites for charge storage.The introduced H vacancies in A-−)NiCo-DH could activate the O sites,leading to the enhanced cation adsorption capability for the electrode.Therefore,A-NiCo-DH exhibits a high discharge capacity of 280.6 mAh·g^(−1)at 0.72 A·g^(−1)with good rate capability.Spectroscopy studies suggest A-NiCo-DH experiences a NH4+/H+coinsertion mechanism.A NH4+-Zn hybrid cell is assembled using A-NiCo-DH as the cathode and Zn foil as the anode,respectively.The device delivers an energy density of 306 Wh·kg^(−1)at the power density of 745.8 W·kg^(−1)(based on the active mass of A-NiCo-DH).This work provides a new NH_(4)^(+)storage material and would push forward the development of aqueous NH4+-based batteries.

关键词： Ni-Co double hydroxide electrochemical activation charge storage mechanism high capacity ammonium-ion battery

Multi-channel EEG-based emotion recognition in the presence of noisy labels

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Science China(Information Sciences) 2022年第4期65卷 64-79页

作者： chang LI Yimeng HOU Rencheng song Juan CHENG Yu liu Xun CHEN Department of Biomedical Engineering Hefei University of Technology USTC IAT-Huami Joint Laboratory for Brain-Machine Intelligence Institute of Advanced TechnologyUniversity of Science and Technology of China Anhui Province Key Laboratory of Measuring Theory and Precision Instrument Hefei University of Technology Epilepsy Center Department of Neurosurgery The First Affiliated Hospital of USTC Division of Life Sciences and Medicine University of Science and Technology of China School of Information Science and Technology University of Science and Technology of China (USTC)

A large number of deep learning classification methods for emotion recognition tasks based on electroencephalogram(EEG) have achieved excellent performance, and it is implicitly assumed that all labels are correct. However, humans have natural bias, subjectiveness, and inconsistencies in their judgment, which would lead to noisy labels for the EEG emotion state. To this end, we propose a framework for multi-channel EEG-based emotion recognition in the presence of noisy labels. The proposed noisy labels classification method is based on the capsule network using a joint optimization strategy(JO-Caps Net) until convergence.Specifically, the network parameters are updated based on the loss function of the capsule network, and the pseudo label is updated by predicting the existence possibility of the class label based on the output of the capsule network. In this way, the alternate updating strategy can promote each other to correct the noisy labels. Experimental results demonstrate the advantage of our method.

关键词： electroencephalogram (EEG) Electroencephalogram (EEG) emotion recognition noisy labels capsule network joint optimization

Effectiveness of oral motor respiratory exercise and vocal intonation therapy on respiratory function and vocal quality in patients with spinal cord injury:a randomized controlled trial

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Neural Regeneration Research 2021年第2期16卷 375-381页

作者： Xiao-Ying Zhang Yi-Chuan song chang-Bin liu Chuan Qin song-Huai liu Jian-Jun Li School of Rehabilitation Medicine Capital Medical UniversityBeijingChina China Rehabilitation Science Institute BeijingChina Beijing Key Laboratory of Neural Injury and Rehabilitation BeijingChina Center of Neural Injury and Repair Beijing Institute for Brain DisordersBeijingChina Music Therapy Center Department of PsychologyChina Rehabilitation Research CenterBeijingChina Department of Rehabilitation Medicine Beijing Tiantan HospitalCapital Medical UniversityBeijingChina Department of Spinal and Neural Functional Reconstruction China Rehabilitation Research CenterBeijingChina

Singing,as a method of combining respiratory function exercise and vocal intonation therapy,provides a new direction for respiratory function exercise in patients with spinal cord injury.This randomized controlled trial investigated the effects of oral motor respiratory exercise and vocal intonation therapy on respiratory function and vocal quality in patients with spinal cord injury.Among 31 included patients with spinal cord injury,18 completed the treatment.These 18 patients were randomly assigned to undergo music therapy(intervention group,30 min/d,5 times a week,for a total of 12 weeks;n=9,7 males and 2 females;30.33±11.74 years old)or normal respiratory training(control group,n=9;8 males and 1 female;34.78±11.13 years old).Both patient groups received routine treatment concurrently.Before and at 6 and 12 weeks after intervention,a standard respiratory function test,a voice test,the St.George's Respiratory Questionnaire,and a quality of life questionnaire were administered.The results showed that the inspiratory capacity,forced expiratory volume in 1 second,forced vital capacity,maximal mid-expiratory flow rate,sing-loud pressure level,and sustained note length were significantly increased in the intervention group compared with the control group.The St.George's Respiratory Questionnaire and quality of life results of patients in the intervention group were significantly superior to those in the control group.These findings suggest that oral motor respiratory exercise and vocal intonation therapy,as respiratory training methods in music therapy,are effective and valuable for improving respiratory dysfunction and vocal quality in patients with spinal cord injury.This study was approved by the Ethics Committee of China Rehabilitation Research Center(approval No.2019-78-1)on May 27,2019 and was registered with the Chinese Clinical Trial Registry(registration number:Chi CTR1900026922)on October 26,2019.

关键词： central nervous system clinical trial injury oral motor randomized repair respiratory exercise spinal cord

Pressure calibration and sound velocity measurement to 12 GPa in multi-anvil apparatus

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Acta Geochimica 2021年第4期40卷 525-531页

作者： Wei song Shuangming Shan Qizhe Tang chang Su Yonggang liu Key Laboratory of High-Temperature and High-Pressure Study of the Earth’s Interior Institute of GeochemistryChinese Academy of SciencesGuiyang 550081China School of Information Engineering Huzhou UniversityHuzhou 313000China Institute of Disaster Prevention Sanhe 065201China

We performed the pressure calibration to 12 GPa for 14/6 type(octahedron edge length/WC truncated edge length,in mm) cell assembly in DS 6 × 1400 multi-anvil apparatus by using the phase transitions in Bi(Ⅰ-Ⅱ2.55 GPa,Ⅲ-Ⅴ 7.67 GPa) and ZnTe(LPP-HPP Ⅰ 9.6 GPa,HPP Ⅰ-Ⅱ 12.0 GPa).As verification and application,sound velocity measurements on poly crystalline Al_(2)O_(3) to 12 GPa at room temperature were conducted and the ultrasonic result is in good agreement with previous reports.It demonstrates the feasibility of performing sound velocity measurements close to the mantle transition zone pressure condition in our laboratory.

关键词： Pressure calibration Sound velocity Multi-anvil apparatus Polycrystalline alumina

A deep learning interatomic potential suitable for simulating radiation damage in bulk tungsten

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Tungsten 2024年第2期6卷 304-322页

作者： chang-Jie Ding Ya-Wei Lei Xiao-Yang Wang Xiao-Lin Li Xiang-Yan Li Yan-Ge Zhang Yi-Chun Xu chang-song liu Xue-Bang Wu Key Laboratory of Materials Physics Institute of Solid State PhysicsHFIPSChinese Academy of SciencesHefei 230031China Science Island University of Science and Technology of ChinaHefei 230026China Laboratory of Computational Physics Institute of Applied Physics and Computational MathematicsBeijing 100088China

So far, it has been a challenge for existing interatomic potentials to accurately describe a wide range of physical properties and maintain reasonable efficiency. In this work, we develop an interatomic potential for simulating radiation damage in body-centered cubic tungsten by employing deep potential, a neural network-based deep learning model for representing the potential energy surface. The resulting potential predicts a variety of physical properties consistent with first-principles calculations, including phonon spectrum, thermal expansion, generalized stacking fault energies, energetics of free surfaces, point defects, vacancy clusters, and prismatic dislocation loops. Specifically, we investigated the elasticity-related properties of prismatic dislocation loops, i.e., their dipole tensors, relaxation volumes, and elastic interaction energies. This potential is found to predict the maximal elastic interaction energy between two 1/2 loops better than previous potentials, with a relative error of only 7.6%. The predicted threshold displacement energies are in reasonable agreement with experimental results, with an average of 128 eV. The efficiency of the present potential is also comparable to the tabulated gaussian approximation potentials and modified embedded atom method potentials, meanwhile, can be further accelerated by graphical processing units. Extensive benchmark tests indicate that this potential has a relatively good balance between accuracy, transferability, and efficiency.

关键词： Machine learning Deep learning Interatomic potential Radiation damage Tungsten

Biogenic volatile organic compound emission patterns and secondary pollutant formation potentials of dominant greening trees in Chengdu,southwest China

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Journal of Environmental Sciences 2022年第4期34卷 179-193页

作者： Liping liu Barnabas C.Seyler Hefan liu Li Zhou Dongyang Chen song liu chang Yan Fumo Yang Danlin song Qinwen Tan Fengju Jia Cheng Feng Qiuwei Wang Yunchun Li College of Architecture and Environment Sichuan UniversityChengdu 610065China College of Science Sichuan Agricultural UniversityYa’an 625014China Chengdu Academy of Environmental Sciences Chengdu 610000China Chengdu Ecological and Environmental Monitoring Center Chengdu 610000China Longquanyi Ecology and Environment Bureau Chengdu 610000China

Integral to the urban ecosystem,greening trees provide many ecological benefits,but the active biogenic volatile organic compounds(BVOCs)they release contribute to the production of ozone and secondary organic aerosols,which harm ambient air quality.It is,therefore,necessary to understand the BVOC emission characteristics of dominant greening tree species and their relative contribution to secondary pollutants in various urban contexts.Consequently,this study utilized a dynamic enclosure system to collect BVOC samples of seven dominant greening tree species in urban Chengdu,Southwest China.Gas chromatography/mass spectrometry was used to analyze the BVOC components and standardized BVOC emission rates of each tree species were then calculated to assess their relative potential to form secondary pollutants.We found obvious differences in the composition of BVOCs emitted by each species.Ficus virens displayed a high isoprene emission rate at31.472μgC/(gdw(g dry weight)·hr),while Cinnamomum camphora emitted high volumes of D-Limonene at 93.574μgC/(gdw·hr).In terms of the BVOC emission rates by leaf area,C.camphora had the highest emission rate of total BVOCs at 13,782.59μgC/(m^(2)·hr),followed by Cedrus deodara with 5466.86μgC/(m^(2)·hr).Ginkgo biloba and Osmanthus fragrans mainly emitted oxygenated VOCs with lower overall emission rates.The high BVOC emitters like F.virens,C.camphora,and Magnolia grandiflora have high potential for significantly contributing to environmental secondary pollutants,so should be cautiously considered for future planting.This study provides important implications for improving urban greening efforts for subtropical Chinese urban contexts,like Chengdu.

关键词： Biogenic volatile organic compounds(BVOCs) Dynamic enclosure system Emission characteristics Secondary pollutants

Spatiotemporal variations of aridity in China during 1961–2015: decomposition and attribution

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Science Bulletin 2018年第18期63卷 1187-1199页

作者： chang liu Wei Huang song Feng Jianhui Chen Aifeng Zhou Key Laboratory of Western China's Environmental Systems (Ministry of Education). College of Earth and Environmental Sciences Lanzhou University Lanzhou 730000 China Department of Geosciences University of Arkansas Fayetteville AR 72703 USA

changes in global climate intensify the hydrological cycle, directly influence precipitation, evaporation,runoff, and cause the re-distribution of water resources in time and space. The aridity index (AI), defined as the ratio of annual precipitation to annual potential evapotranspiration, is a widely used numerical indicator to quantify the degree of dryness at a given location. This study examined the effects of climate change on AI in China during 1961–2015. The results showed that the nationally averaged AI experienced a notable interdecadal transition in 1993, characterized by increasing AI (wetter) between 1961 and 1993,and decreasing AI (drier) after 1993. Overall, the decreased solar radiation (solar dimming) was the main factor affected the nationally averaged AI during 1961–1993, while the relative humidity dominated the variations of nationally averaged AI during 1993–2015. However, the roles of individual factors on the changes in AI vary in different subregions. Precipitation is one of the important contributing factors for the changes of AI in almost all subregions, except the Mid-Lower Yangtze and Huaihe basins. Solar radiation has been significantly decreased during 1961–1993 in South China, Southwest China, Mid-Lower Yangtze and Huaihe basins, and the Tibetan Plateau. Therefore, it dominated the trends of AI in these subregions.The relative humidity mainly affected the Mid-Lower Yangtze and Huaihe basins, Southwest China, and the Tibetan Plateau during 1993–2015, hence dominated the trends of AI in these subregions. The changes of temperature and wind speed, however, played a relatively weak role in the variations of AI.

关键词：土壤水分蒸发蒸腾损失总量中国干旱时间空间分解相对湿度全球气候