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| 1 | Assessment of several typical physical properties of reclaimed farmland filled with Yellow River sediment in Jining, China显示文摘 | Zhenqi Hu Peijun Wang Russell S. Yost Fang Shao Linghua Duo | 2018 | International Journal of Coal Science & Technology2018，5，1： | 4 |
| 2 | Towards Quantitatively Understanding the Complexity of Social-Ecological Systems——From Connection to Consilience显示文摘The complexity of social-ecological systems(SES) is rooted in the outcomes of node activities connected by network topology. Thus far, in network dynamics research, the connectivity degree(CND), indicating how many nodes are connected to a given node, has been the dominant concept. However, connectivity focuses only on network topology, neglecting the crucial relation to node activities, and thereby leaving system outcomes largely unexplained. Inspired by the phenomenon of ‘‘consensus of wills and coordination of activities' ' often observed in disaster risk management, we propose a new concept of network characteristic, the consilience degree(CSD),aiming to measure the way in which network topology and node activities together contribute to system outcomes. The CSD captures the fact that nodes may assume different states that make their activities more or less compatible.Connecting two nodes with in/compatible states will lead to outcomes that are un/desirable from the perspective of the SES in question. We mathematically prove that the CSD is a generalized CND, and the CND is a special case of CSD. As a general, fundamental concept, the CSD can facilitate the development of a new framework of network properties, models, and theories that allows us to understand patterns of network behavior that cannot be explained in terms of connectivity alone. We further demonstrate that a co-evolutionary mechanism can naturally improve the CSD. Given the generality of co-evolution in SES, we argue that the CSD is an inherent attribute rather than an artificial concept, which underpins the fundamental importance of the CSD to the study of SES. | Xiao-Bing Hu Peijun Shi Ming Wang Tao Ye Mark S.Leeson Sander E.van der Leeuw Jianguo Wu Ortwin Renn Carlo Jaeger | 2017 | International Journal of Disaster Risk Science2017，8，4： | 4 |
| 3 | Insight into room-temperature catalytic oxidation of NO by CrO_2(110):A DFT study显示文摘The NO oxidation processes on CrO_2(110) was investigated by virtue of DFT + U calculation together with microkinetic analysis, aiming to uncover the reaction mechanism and activity-limiting factors for CrO_2 catalyst. It was found that NO oxidation on CrO_2(110) has to be triggered with the lattice Obri involved(Mars-van Krevelen mechanism) rather than the Langmuir-Hinshelwood path occurring at the Cr_(5 c) sites alone. Specifically, the optimal reaction path was identified. Quantitatively, the microkinetic analysis showed that CrO_2(110) can exhibit a high turnover rate of 0.978 s^(-1) for NO oxidation at room temperature.Such an activity could originate from the bifunctional synergetic catalytic mechanism, in which the Cr_(5c)sites can exclusively adsorb NO and the Obri is very reactive and provides oxidative species. However, it is worth noting that, as the reactive Obri tightly binds NO_2, the nitrate species was found to be difficult removed and constituted the key poisoning species, eventually limiting the overall activity of CrO_2. This work demonstrated the considerable catalytic ability of CrO_2 for NO oxidation at room temperature, and the understanding may facilitate the further design of more active Cr-based catalyst. | Jiamin Jin Jianfu Chen Haifeng Wang Peijun Hu | 2019 | Chinese Chemical Letters2019，30，3： | 4 |
| 4 | Disaster Risk Science:A Geographical Perspective and a Research Framework显示文摘In this article,we recall the United Nations’30-year journey in disaster risk reduction strategy and framework,review the latest progress and key scientific and technological questions related to the United Nations disaster risk reduction initiatives,and summarize the framework and contents of disaster risk science research.The object of disaster risk science research is the'disaster system'consisting of hazard,the geographical environment,and exposed units,with features of regionality,interconnectedness,coupling,and complexity.Environmental stability,hazard threat,and socioeconomic vulnerability together determine the way that disasters are formed,establish the spatial extent of disaster impact,and generate the scale of losses.In the formation of a disaster,a conducive environment is the prerequisite,a hazard is the necessary condition,and socioeconomic exposure is the sufficient condition.The geographical environment affects local hazard intensity and therefore can change the pattern of loss distribution.Regional multi-hazard,disaster chain,and disaster compound could induce complex impacts,amplifying or attenuating hazard intensity and changing the scope of affected areas.In the light of research progress,particularly in the context of China,we propose a threelayer disaster risk science disciplinary structure,which contains three pillars(disaster science,disaster technology,and disaster governance),nine core areas,and 27 research fields.Based on these elements,we discuss the frontiers in disaster risk science research. | Peijun Shi Tao Ye Ying Wang Tao Zhou Wei Xu Juan Du Jing'ai Wang Ning Li Chongfu Huang Lianyou Liu Bo Chen Yun Su Weihua Fang Ming Wang Xiaobin Hu Jidong Wu Chunyang He Qiang Zhang Qian Ye Carlo Jaeger Norio Okada | 2020 | International Journal of Disaster Risk Science2020，11，4： | 4 |
| 5 | A New Method for Resource Allocation Optimization in Disaster Reduction and Risk Governance显示文摘How to allocate and use resources play a crucial role in disaster reduction and risk governance(DRRG).The challenge comes largely from two aspects: the resources available for allocation are usually limited in quantity; and the multiple stakeholders involved in DRRG often have conflicting interests in the allocation of these limited resources. Therefore resource allocation in DRRG can be formulated as a constrained multiobjective optimization problem(MOOP). The Pareto front is a key concept in resolving a MOOP, and it is associated with the complete set of optimal solutions. However, most existing methods for solving a MOOPs only calculate a part or an approximation of the Pareto front, and thus can hardly provide the most effective or accurate support to decisionmakers in DRRG. This article introduces a new method whose goal is to find the complete Pareto front that resolves the resource allocation optimization problem in DRRG.The theoretical conditions needed to guarantee finding a complete Pareto front are given and a practicable, ripplespreading algorithm is developed to calculate the complete Pareto front. A resource allocation problem of risk governance in agriculture is then used as a case study to test the applicability and reliability of the proposed method. The results demonstrate the advantages of the proposed method in terms of both solution quality and computational efficiency when compared with traditional methods. | Xiao-Bing Hu Ming Wang Tao Ye Peijun Shi | 2016 | International Journal of Disaster Risk Science2016，7，2： | 3 |
| 6 | Identifying the composition and atomic distribution of Pt-Au bimetallic nanoparticle with machine learning and genetic algorithm显示文摘Bimetallic nanoparticles(AmBn)usually exhibit rich catalytic chemistry and have drawn tremendous attention in heterogeneous catalysis.However,challenged by the huge configuration space,the understanding toward their composition and distribution of A/B element is known little at the atomic level,which hinders the rational synthesis.Herein,we develop an on-the-fly training strategy combing the machine learning model(SchNet)with the genetic algorithm(GA)search technique,which achieve the fast and accurate energy prediction of complex bimetallic clusters at the DFT level.Taking the 38-atom PtmAu38-mnanoparticle as example,the element distribution identification problem and the stability trend as a function of Pt/Au composition is quantitatively re solved.Specifically,results show that on the Pt-rich cluster Au atoms prefer to occupy the low-coordinated surface corner sites and form patch-like surface segregation patte rns,while for the Au-rich ones Pt atoms tend to site in the co re region and form the co re-shell(Pt@Au)configuration.The thermodynamically most stable PtmAu38-mcluster is Pt6 Au32,with all the core-region sites occupied by Pt,rationalized by the stronger Pt-Pt bond in comparison with Pt-Au and Au-Au bonds.This work exemplifies the potent application of rapid global sea rch enabled by machine learning in exploring the high-dimensional configuration space of bimetallic nanocatalysts. | Jiawei Zhang Jianfu Chen Peijun Hu Haifeng Wang | 2020 | Chinese Chemical Letters2020，31，3： | 2 |
| 7 | Nested hollow architectures of nitrogen-doped carbon-decorated Fe,Co,Ni-based phosphides for boosting water and urea electrolysis显示文摘Tailoring the nanostructure/morphology and chemical composition is important to regulate the electronic configuration of electrocatalysts and thus enhance their performance for water and urea electrolysis.Herein,the nitrogen-doped carbon-decorated tricomponent metal phosphides of FeP4 nanotube@Ni-Co-P nanocage(NC-FNCP)with unique nested hollow architectures are fabricated by a self-sacrifice template strategy.Benefiting from the multi-component synergy,the modification of nitrogen-doped carbon,and the modulation of nested porous hollow morphology,NC-FNCP facilitates rapid electron/mass transport in water and urea electrolysis.NC-FNCP-based anode shows low potentials of 248 mV and 1.37 V(vs.reversible hydrogen electrode)to attain 10 mA/cm^(2) for oxygen evolution reaction(OER)and urea oxidation reaction(UOR),respectively.In addition,the overall urea electrolysis drives 10 mA/cm^(2) at a comparatively low voltage of 1.52 V(vs.RHE)that is 110 mV lower than that of overall water electrolysis,as well as exhibits excellent stability over 20 h.This work strategizes a multi-shell-structured electrocatalyst with multi-compositions and explores its applications in a sustainable combination of hydrogen production and sewage remediation. | Jie Zhang Shoushuang Huang Ping Ning Peijun Xin Zhiwen Chen Qing Wang Kajsa Uvdal Zhangjun Hu | 2022 | Nano Research2022，15，3： | 2 |
| 8 | Viral vectors as a novel tool for clinical and neuropsychiatric research applications显示文摘Background A viral vector is a genetically modified vector produced by genetic engineering. As pathogenic genes in the virus are completely or largely eliminated, it is safe to be widely used in multidisciplinary research fields for expressing genes, such as neuroscience, metabolism, oncology and so on. Neuroscience and psychiatry are the most closely related disciplines in either basic research or clinical research, but the application of viral vectors in neuropsychiatry has not received much attention or not been widely accepted.Aim This article will focus on the application of viral vectors in basic and clinical neuropsychiatric research.Methods By using viral vectors, scientists can perform neurological labelling, gene expression regulation and physiological manipulation for investigating phenomenon from molecular mechanisms to behaviours. At the same time, to treat mental or neurological disorders, viral vectors can be designed for gene therapy, which alter gene expression levels or repair mutated genes in the brains of patients.Perspective Viral vectors play an important role in basic research and clinical applications. To further understand brain function and prevent mental and neurological diseases, we hypothesize that viral vectors could be used along with various advanced technologies, such as sequencing and high-throughput expression analysis in the neuroscience research field. | Yao Wang Zhiwei Hu Peijun Ju Shan Yin Fujie Wang Oudong Pan Jinghong Chen | 2018 | General Psychiatry2018，31，5： | 2 |
| 9 | Desertification and Blown Sand Disaster in China显示文摘 | Yanli Lyu Yanyan Yang Lanlan Guo Lianyou Liu Peijun Shi Guoming Zhang Zhiqiang Qu Xia Hu Jingpu Wang Yiying Xiong Haiming Wen Jie Lei Bo Liang Jiadong Dai | 2016 | Journal of Agricultural Science and Technology(A)2016，6，6： | 1 |
| 10 | Government Investment in Disaster Risk Reduction Based on a Probabilistic Risk Model: A Case Study of Typhoon Disasters in Shenzhen, China显示文摘In recent years, cost-benefit analysis(CBA) has played an important role in disaster risk reduction(DRR)investment decisions, and now increasing attention is being paid to its application in developing countries. This article discusses government investment choices in DRR against typhoon disasters in Shenzhen, China. While the existing literature mainly focuses on disaster mitigation measures such as structural retrofitting, this study proposes a holistic framework of DRR investments in which structural(windproof retrofitting) and financial(insurance premium subsidies and post-disaster relief) are all taken into account.In particular, intermeasure spillover effects are measured and used in CBA. The results show that insurance premium subsidies yield the highest benefit-cost ratio and should be prioritized in investment. Windproof retrofitting comes in second place in terms of the benefit-cost ratio and can be considered when there is a sufficient budget. These results further confirm the need of a holistic review of government DRR investments to derive policy recommendations, while challenges remain in relation to the probabilistic modeling capacity to support CBA. | Tao Ye Yao Wang Binxia Wu Peijun Shi Ming Wang Xiaobing Hu | 2016 | International Journal of Disaster Risk Science2016，7，2： | 1 |
| 11 | Rice seeds identification based on back propagation neural network model显示文摘Rice quality directly affects the final rice yield.In order to achieve rapid,non-destructive testing of rice seeds,this paper combines the three-dimensional laser scanning technology and back propagation(BP)neural network algorithm to build a rice seeds identification platform.The information on rice seed surface is collected from four angles and processed using Geomagic Studio software.Based on the noise filtering,smoothing of the point cloud,vulnerability repair,and downsampling,the three-dimensional(3D)morphological characteristics of a rice seed surface,and the projection features of the main plane cross-section are obtained through the calculation of the features.The experiments were performed on five rice varieties,including Da Hua aromatic glutinous,Hong ShiⅠ,Tian You VIII,Xin Dao X,and Yu Jing VI.The resulting input vector consisted respectively of:(1)nine 3D morphological surface features,(2)nine projection features of the main cross-section plane of rice,and(3)all of the above features.The results showed that for an input vector consisting of nine surface 3D morphological features,the recognition rate of the five rice varieties was 95%,96%,87%,93%,and 89%,respectively;for an input vector consisting of nine projection features of the main cross-section plane of rice seeds,the recognition rate was 96%,96%,90%,92%,and 89%,respectively;and lastly,for an input vector consisting of all the features,the highest recognition rate of 96%,97%,91%,94%,and 90%,respectively,was achieved.The analysis showed that rice varieties could be identified by using 3D laser scanning.Therefore,the proposed method can improve the accuracy of rice varieties identification. | Xuebin Feng Peijun He Huaxi Zhang Wenqing Yin Yan Qian Peng Cao Fei Hu | 2019 | International Journal of Agricultural and Biological Engineering2019，12，6： | 1 |
| 12 | Enhancing the capabilities of biosafety laboratories through the established accreditation system:Development of the biosafety laboratory accreditation system in China显示文摘Accreditation is now widely used to attest for laboratory competence.Although accreditation was originally used to assess products in testing laboratories and still plays an increasingly important role in international trade,it has been expanded to include laboratories in many social fields,including forensic science,medicine,and animal quarantine reference.The accreditation process provides basic requirements for achieving global recognition for laboratory reports.This paper introduces the concept of accreditation and discusses the origins and development of the accreditation system in Chinese biosafety laboratories.This study also reveals the important role of this system in national biosafety management through an examination of the 14-year development of the Chinese biosafety laboratory accreditation system. | Peijun Zhai Rong Wang Yongyun Zhou Dongmei Hu Junyan li Yali Zhou | 2019 | Journal of Biosafety and Biosecurity2019，1，2： | 1 |
| 13 | Gold Segregation Improves Electrocatalytic Activity of Icosahedron Au@Pt Nanocluster:Insights from Machine Learning显示文摘As a common electrocatalytic system,Au-Pt alloy particles are often prepared as Au-core-Pt-shell(Au@Pt)to make full use of platinum.However,Au has a strong tendency to segregate to the outer surface,leading to the redistribution of the active sites.Unfortunately,the mechanism of such reconstruction and its effect on the electrocatalytic activity have not been thoroughly discussed,largely owing to the complexity of in-situ characterization and computational modeling.Herein,by taking the 55-atom Au13Pt42 core-shell nanocluster as an example,we utilized the neural network potential at density functional theory(DFT)level and the genetic algorithm to search the complex global configurational space.It turns out that it is thermodynamically favorable when all gold atoms are segregated to the surface and the shape of the cluster tends to change from icosahedron to a distorted amorphous structure(at a reduced core,DRC)with a unique gold distribution.Towards understanding the dynamic activity variation of oxygen reduction reaction(ORR)on this bimetallic Au@Pt system,oxygen adsorption energy calculations show that this reconstruction could not only increase the number of adsorption sites but also dramatically improve the ORR catalytic activity of each site,thus enhance the overall ORR reactivity. | Dingming Chen Zhuangzhuang Lai Jiawei Zhang Jianfu Chen Peijun Hu Haifeng Wang | 2021 | Chinese Journal of Chemistry2021，39，11： | 1 |
| 14 | SARS-CoV-2 immunity and functional recovery of COVID-19 patients 1-year after infection显示文摘The long-term immunity and functional recovery after SARS-CoV-2 infection have implications in preventive measures and patient quality of life.Here we analyzed a prospective cohort of 121 recovered COVID-19 patients from Xiangyang,China at 1-year after diagnosis.Among them,chemiluminescence immunoassay-based screening showed 99%(95%CI,98–100%)seroprevalence 10–12 months after infection,comparing to 0.8%(95%CI,0.7–0.9%)in the general population.Total anti-receptor-binding domain(RBD)antibodies remained stable since discharge,while anti-RBD IgG and neutralization levels decreased over time.A predictive model estimates 17%(95%CI,11–24%)and 87%(95%CI,80–92%)participants were still 50%protected against detectable and severe re-infection of WT SARS-CoV-2,respectively,while neutralization levels against B.1.1.7 and B.1.351 variants were significantly reduced.All non-severe patients showed normal chest CT and 21%reported COVID-19-related symptoms.In contrast,53%severe patients had abnormal chest CT,decreased pulmonary function or cardiac involvement and 79%were still symptomatic.Our findings suggest long-lasting immune protection after SARS-CoV-2 infection,while also highlight the risk of immune evasive variants and long-term consequences for COVID-19 survivors. | Yan Zhan Yufang Zhu Shanshan Wang Shijun Jia Yunling Gao Yingying Lu Caili Zhou Ran Liang Dingwen Sun Xiaobo Wang Zhibing Hou Qiaoqiao Hu Peng Du Hao Yu Chang Liu Miao Cui Gangling Tong Zhihua Zheng Yunsheng Xu Linyu Zhu Jin Cheng Feng Wu Yulan Zheng Peijun Liu Peng Hong | 2021 | Signal Transduction and Targeted Therapy2021，6，11： | 0 |
| 15 | Factors contributing to the oxygen concentration over the Qinghai-Tibetan Plateau and its contribution rate calculation显示文摘A decline in atmospheric oxygen concentration is projected in the 21st century given the background of global warming.The Qinghai-Tibetan Plateau is located at a high altitude,and thus,it faces a hypoxia challenge;however,knowledge of the factors contributing to its atmospheric oxygen concentration is still lacking.Here,we conducted joint observations of ecosystem oxygen production and carbon sinks and near-surface atmospheric oxygen concentrations on the Qinghai-Tibetan Plateau and meteorological elements at Beijing Fangshan Station.Using seasonal differences and statistical methods,we calculated the relative contribution rates of vegetation to changes in atmospheric oxygen concentration.Our results indicate that solar radiation,atmospheric humidity,and ecosystem oxygen consumption and production have a significant impact on the atmospheric oxygen concentration,and the impact shows temporal and spatial differences.Vegetation significantly impacts the oxygen concentration,with a contribution rate of 16.7%–24.5%,which is underestimated in existing research.Our findings provide important insights into the factors that influence atmospheric oxygen concentration and highlight the contribution of vegetation.To better understand the oxygen dynamics of the Qinghai-Tibetan Plateau,we recommend further field observations of soil respiration and vegetation photosynthesis to clarify the contributions of carbon storage,carbon sinks and other factors to the near-surface atmospheric oxygen concentration. | Peijun SHI Ying ZHANG Yanqiang CHEN Wenquan ZHU Xiaokang HU Heyi YANG Lu JIANG Yonggui MA Haiping TANG | 2024 | Science China Earth Sciences2024，67，2： | 0 |
| 16 | Phosphorus-doped Fe_(7)S_(8)@C nanowires for efficient electrochemical hydrogen and oxygen evolutions:Controlled synthesis and electronic modulation on active sites显示文摘Developing low-cost,efficient,and stable non-precious-metal electrocatalysts with controlled crystal structure,morphology and compositions are highly desirable for hydrogen and oxygen evolution reactions.Herein,a series of phosphorus-doped Fe_(7)S_(8)nanowires integrated within carbon(P-Fe_(7)S_(8)@C)are rationally synthesized via a one-step phosphorization of one-dimensional(1D)Fe-based organicinorganic nanowires.The as-obtained P-Fe_(7)S_(8)@C catalysts with modified electronic configurations present typical porous structure,providing plentiful active sites for rapid reaction kinetics.Density functional calculations demonstrate that the doping Fe_(7)S_(8)with P can effectively enhance the electron density of Fe_(7)S_(8)around the Fermi level and weaken the Fe-H bonding,leading to the decrease of adsorption free energy barrier on active sites.As a result,the optimal catalyst of P-Fe_(7)S_(8)-600@C exhibits a relatively low overpotential of 136 mV for hydrogen evolution reaction(HER)to reach the current density of 10 mA/cm^(2),and a significantly low overpotential of 210 mV for oxygen evolution reaction(OER)at 20 mA/cm^(2)in alkaline media.The work presented here may pave the way to design and synthesis of other prominent Fe-based catalysts for water splitting via electronic regulation. | Thanh-Tung Le Xiao Liu Peijun Xin Qing Wang Chunyan Gao Ye Wu Yongjiang Zhangjun Hu Shoushuang Huang Zhiwen Chen | 2021 | Journal of Materials Science & Technology2021，，15： | 0 |
| 17 | A randomized controlled trial to evaluate efficacy and safety of early conversion to a low-dose calcineurin inhibitor combined with sirolimus in renal transplant patients显示文摘Background:The calcineurin inhibitor(CNI)-based immune maintenance regimen that is commonly used after renal transplantation has greatly improved early graft survival after transplantation;however,the long-term prognosis of grafts has not been significantly improved.The nephrotoxicity of CNI drugs is one of the main risk factors for the poor long-term prognosis of grafts.Sirolimus(SRL)has been employed as an immunosuppressant in clinical practice for over 20 years and has been found to have no nephrotoxic effects on grafts.Presently,the regimen and timing of SRL application after renal transplantation vary,and clinical data are scarce.Multicenter prospective randomized controlled studies are particularly rare.This study aims to investigate the effects of early conversion to a low-dose CNI combined with SRL on the long-term prognosis of renal transplantation.Methods:Patients who receive four weeks of a standard regimen with CNI+mycophenolic acid(MPA)+glucocorticoid after renal transplantation in multiple transplant centers across China will be included in this study.At week 5,after the operation,patients in the experimental group will receive an additional administration of SRL,a reduction in the CNI drug doses,withdrawal of MPA medication,and maintenance of glucocorticoids.In addition,patients in the control group will receive the maintained standard of care.The patients’vital signs,routine blood tests,routine urine tests,blood biochemistry,serum creatinine,BK virus(BKV)/cytomegalovirus(CMV),and trough concentrations of CNI drugs and SRL at the baseline and weeks 12,24,36,48,72,and 104 after conversion will be recorded.Patient survival,graft survival,and estimated glomerular filtration rate will be calculated,and concomitant medications and adverse events will also be recorded.Conclusion:The study data will be utilized to evaluate the efficacy and safety of early conversion to low-dose CNIs combined with SRL in renal transplant patients. | Xiang Zheng Weijie Zhang Hua Zhou Ronghua Cao Zhangfei Shou Shuwei Zhang Ying Cheng Xuchun Chen Chenguang Ding Zuofu Tang Ning Li Shaohua Shi Qiang Zhou Qiuyuan Chen Gang Chen Zheng Chen Peijun Zhou Xiaopeng Hu Xiaodong Zhang Ning Na Wei Wang | 2022 | Chinese Medical Journal2022，，13： | 0 |
| 18 | Present Situation and Problems of Application of New Media in Rural E-commerce : A Case Study of Anhui Province显示文摘The application of new media technology in rural areas of China provides more convenient conditions for agricultural products publicity,transaction information dissemination and user feedback.In particular,e-commerce platform based on Internet technology provides more convenient sales channels for characteristic agricultural products.Through the research on the application of new media technology in rural areas of Anhui Province,this paper explores the actual effect of new media technology on the development of rural e-commerce.The questionnaire survey is used to understand the development status of new media in rural areas of China.They are:the development of'Internet government affairs'has begun to take shape;the official account of WeChat has shortened the time and space between the production and consumption of agricultural products.Live interaction gives full play to the powerful role of fan economy;digital media has not been widely used.Through the form of on-the-spot visits,this paper expounds the application effect of new media in the agricultural field of Anhui Province from three perspectives of the government,agricultural enterprises and farmers.It analyzes the problems existing in the application of new media in rural e-commerce in Anhui Province.They are:the new media market is still full of problems;The infrastructure construction of rural e-commerce is relatively poor;Farmers lack the guidance of professional talents;farmers' acceptance and learning ability is poor.The paper puts forward suggestions for the development status and problems of new media in rural areas of Anhui Province.They are:the provincial government should continue to promote the new media market order;all e-commerce enterprises should actively undertake social responsibility;rural e-commerce entrepreneurs should actively promote professional operation;farmers should actively change their views on new media. | Shuhua CAO Yujun HU Peijun FU | 2021 | Asian Agricultural Research2021，13，10： | 0 |
| 19 | Carbon Emission Risk and Governance显示文摘Within the hazard and disaster risk research field, explicitly treating carbon emissions as a hazard remains rather nascent. Applying hazard and disaster risk research perspectives to seek new insights on integrated mitigation and adaptation approaches and policy measures is equally elusive. Since China’s pledge to achieve carbon neutrality by 2060, the ‘‘dual carbon” goals of carbon emission peaking and neutrality have stimulated nationwide attention, research, and policies and action plans.How to ensure that the transition pathways are on track and well-contextualized is one of the crucial challenges for policymakers and practitioners. This article examines the‘‘risks” of missing the carbon neutrality goal at a regional scale in China, denoted as Carbon Emission Risk(CER).Carbon emissions(CE) as hazard, combined with the human socioeconomic system as exposure and human living environment, constitute the regional carbon emission environmental risk system. The ‘‘risks” of missing(or achieving) the carbon neutrality target for any region at any time, the article argues, is essentially determined by the ratio of CE to carbon absorption(CA, for uptake and removal). These variables are modified by a broadly defined ‘‘vulnerability coefficient”(Cv) that embodies both the potential for changes(decreasing CE and increasing CA), and the uncertainties of measuring CE and CA. Thus,the ratio of CE to CA is a measure of reality at any moment of time, whereas Cv indicates the overall propensity or capacity for moving the CE/CA ratio towards 1, that is,realizing carbon neutrality. Based on our calculation, CER at the provincial level in eastern China is higher than in western China. The article also calls for strengthening CER research and summarizes key measures for carbon emission risk governance. | Lu Jiang Xiaokang Hu Gangfeng Zhang Yanqiang Chen Honglin Zhong Peijun Shi | 2022 | International Journal of Disaster Risk Science2022，13，2： | 0 |
| 20 | Screening performance of methane activation over atomically dispersed metal catalysts on defective boron nitride monolayers:A density functional theory study显示文摘Methane(CH_(4))controllable activation is the key process for CH_(4)upgrading,which is sensitive to the surface oxygen species.The high thermal conductivity and superb thermal stability of the hexagonal boron nitride(h-BN)sheet makes a single transition metal atom doped hexagonal boron nitride monolayer(TM-BN)possible to be a promising material for catalyzing methane partial oxidation.The performances of 24 TM-BNs for CH_(4)activation are systematically investigated during the CH_(4)oxidation by means of first-principles computation.The calculation results unravel the periodic va riation trends for the stability of TM-BN,the adsorption strength and the kind of O_(2)species,and the resulting CH_(4)activation performance on TM-BNs.The formed peroxide O_(2)^(2-)of which the O-O bond could be broken and O-anions are found to be reactive oxygen species for CH_(4)activation under the mild conditions.It is found that the redox potential of TM center,including its valence electron number,coordination environment,and the work function of TM-BN,is the underlying reason for the formation of different oxygen species and the resulting activity for CH_(4)oxidative dehydrogenation. | Xiao-Ming Cao Haijin Zhou Liyang Zhao Xuning Chen Peijun Hu | 2021 | Chinese Chemical Letters2021，32，6： | 0 |
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