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| 1 | Correction to:Development of a Novel Reverse Transcription Loop-Mediated Isothermal Amplification Method for Rapid Detection of SARS-CoV-2显示文摘In the original version of this article,the legend to Figure 1 was incorrect.The corrected legend is given below.Fig.1 A Location of the primers in SARS-CoV-2 genome.B Sequence comparison among seven human coronaviruses(SARS-CoV-2,SARS-CoV,MERS-CoV,HCoVOC43,HCoV-HKU-1,HCoV-NL63 and HCoV-229E).C Cross-reactivity test of the novel SARS-CoV-2 RTLAMP assay to other common respiratory viruses.Tested common respiratory viruses include HCoV-HKU-1,HCoV-NL63,HCoV-OC43,HCoV-229E,influenza A,B,and C viruses,parainfluenza viruses type 1-3,enterovirus,respiratory syncytial virus A and B groups,human rhinovirus,human metapneumovirus,adenovirus and bocavirus. | Renfei Lu Xiuming Wu Zhenzhou Wan Yingxue Li Lulu Zuo Jianru Qin Xia Jin Chiyu Zhang | 2020 | Virologica Sinica2020，35，4： | 8 |
| 2 | Development of a Novel Reverse Transcription Loop-Mediated Isothermal Amplification Method for Rapid Detection of SARS-CoV-2显示文摘Dear Editor,Since early December 2019, a large outbreak of pneumonia caused by a novel coronavirus(COVID-19) had emerged in Wuhan, China(Wu et al. 2020 a, b;Zhou et al. 2020;Zhu et al. 2020;Jiang and Shi 2020). Similar to severe acute respiratory syndrome coronavirus(SARS-CoV) and Middle East respiratory syndrome coronavirus(MERS-CoV),the new coronavirus also belongs to Betacoronavirus。 | Renfei Lu Xiuming Wu Zhenzhou Wan Yingxue Li Lulu Zuo Jianru Qin Xia Jin Chiyu Zhang | 2020 | Virologica Sinica2020，35，3： | 7 |
| 3 | Trajectory prediction of cyclist based on dynamic Bayesian network and long short-term memory model at unsignalized intersections显示文摘Cyclist trajectory prediction is of great significance for both active collision avoidance and path planning of intelligent vehicles.This paper presents a trajectory prediction method for the motion intention of cyclists in real traffic scenarios.This method is based on dynamic Bayesian network(DBN)and long short-term memory(LSTM).The motion intention of cyclists is hard to predict owing to potential large uncertainties.The DBN is used to infer the distribution of cyclists’intentions at intersections to improve the prediction time.The LSTM with encoder-decoder is used to predict the cyclists’trajectories to improve the accuracy of prediction.Therefore,the DBN and LSTM are adopted to guarantee prediction accuracy and improve the prediction time.The experiment results are presented to show the effectiveness of the predict strategies. | Hongbo GAO Hang SU Yingfeng CAI Renfei WU Zhengyuan HAO Yongneng XU Wei WU Jianqing WANG Zhijun LI Zhen KAN | 2021 | Science China(Information Sciences)2021，64，7： | 4 |
| 4 | Vehicle emissions of primary air pollutants from 2009 to 2019 and projection for the 14th Five-Year Plan period in Beijing, China显示文摘Over the past decade,the emission standards and fuel standards in Beijing have been upgraded twice,and the vehicle structure has been improved by accelerating the elimination of 2.95 million old vehicles.Through the formulation and implementation of these policies,the emissions of carbon monoxide(CO),volatile organic compounds(VOCs),nitrogen oxides(NO_(x)),and fine particulate matter(PM_(2.5))in 2019 were 147.9,25.3,43.4,and 0.91 kton in Beijing,respectively.The emission factor method was adopted to better understand the emissions characteristics of primary air pollutants from combustion engine vehicles and to improve pollution control.In combination with the air quality improvement goals and the status of social and economic development during the 14th Five-Year Plan period in Beijing,different vehicle pollution control scenarios were established,and emissions reductions were projected.The results show that the emissions of four air pollutants(CO,VOCs,NO_(x),and PM_(2.5))fromvehicles in Beijing decreased by an average of 68% in 2019,compared to their levels in 2009.The contribution of NOx emissions from diesel vehicles increased from 35% in 2009 to 56% in 2019,which indicated that clean and energy-saving diesel vehicle fleets should be further improved.Electric vehicle adoption could be an important measure to reduce pollutant emissions.With the further upgrading of vehicle structure and the adoption of electric vehicles,it is expected that the total emissions of the four vehicle pollutants can be reduced by 20%-41% by the end of the 14th Five-Year Plan period. | Tongran Wu Yangyang Cui Aiping Lian Ye Tian Renfei Li Xinyu Liu Jing Yan Yifeng Xue Huan Liu Bobo Wu | 2023 | Journal of Environmental Sciences2023，，2： | 1 |
| 5 | Multi-objective Optimal Design of High Frequency Probe for Scanning Ion Conductance Microscopy显示文摘Scanning ion conductance microscopy(SICM) is an emerging non-destructive surface topography characterization apparatus with nanoscale resolution. However, the low regulating frequency of probe in most existing modulated current based SICM systems increases the system noise, and has difficulty in imaging sample surface with steep height changes. In order to enable SICM to have the capability of imaging surfaces with steep height changes, a novel probe that can be used in the modulated current based hopping mode is designed. The design relies on two piezoelectric ceramics with different travels to separate position adjustment and probe frequency regulation in the Z direction. To further improve the resonant frequency of the probe, the material and the key dimensions for each component of the probe are optimized based on the multi-objective optimization method and the finite element analysis. The optimal design has a resonant frequency of above 10 kHz. To validate the rationality of the designed probe, microstructured grating samples are imaged using the homebuilt modulated current based SICM system. The experimental results indicate that the designed high frequency probe can effectively reduce the spike noise by 26% in the average number of spike noise. The proposed design provides a feasible solution for improving the imaging quality of the existing SICM systems which normally use ordinary probes with relatively low regulating frequency. | GUO Renfei ZHUANG Jian MA Li LI Fei YU Dehong | 2016 | Chinese Journal of Mechanical Engineering2016，29，1： | 1 |
| 6 | KinasePhos 3.0:Redesign and Expansion of the Prediction on Kinase-specific Phosphorylation Sites显示文摘The purpose of this work is to enhance KinasePhos,a machine learning-based kinasespecific phosphorylation site prediction tool.Experimentally verified kinase-specific phosphorylation data were collected from PhosphoSitePlus,UniProtKB,the GPS 5.0,and Phospho.ELM.In total,41,421 experimentally verified kinase-specific phosphorylation sites were identified.A total of 1380 unique kinases were identified,including 753 with existing classification information from KinBase and the remaining 627 annotated by building a phylogenetic tree.Based on this kinase classification,a total of 771 predictive models were built at the individual,family,and group levels,using at least 15 experimentally verified substrate sites in positive training datasets.The improved models demonstrated their effectiveness compared with other prediction tools.For example,the prediction of sites phosphorylated by the protein kinase B,casein kinase 2,and protein kinase A families had accuracies of 94.5%,92.5%,and 90.0%,respectively.The average prediction accuracy for all 771 models was 87.2%.For enhancing interpretability,the SHapley Additive exPlanations(SHAP)method was employed to assess feature importance.The web interface of KinasePhos 3.0 has been redesigned to provide comprehensive annotations of kinase-specific phosphorylation sites on multiple proteins.Additionally,considering the large scale of phosphoproteomic data,a downloadable prediction tool is available at http://gffzz409fd5467cb945e7scuk596uk09uq69wo.ffgz.tsg.suse.edu.cn/KinasePhos/download.html or http://gffzz188fe103f8f1460ascuk596uk09uq69wo.ffgz.tsg.suse.edu.cn/tom-209/KinasePhos-3.0-executable-file. | Renfei Ma Shangfu Li Wenshuo Li Lantian Yao Hsien-Da Huang Tzong-Yi Lee | 2023 | Genomics, Proteomics & Bioinformatics2023，21，1： | 0 |
| 7 | Polysulfide regulation by defect-modulated Ta_(3)N_(5-x) electrocatalyst toward superior room-temperature sodium-sulfur batteries显示文摘Resolving low sulfur reaction activity and severe polysulfide dissolution remains challenging in metalsulfur batteries.Motivated by a theoretical prediction,herein,we strategically propose nitrogenvacancy tantalum nitride(Ta3N5-x)impregnated inside the interconnected nanopores of nitrogendecorated carbon matrix as a new electrocatalyst for regulating sulfur redox reactions in roomtemperature sodium-sulfur batteries.Through a pore-constriction mechanism,the nitrogen vacancies are controllably constructed during the nucleation of Ta3N5-x.The defect manipulation on the local environment enables well-regulated Ta 5d-orbital energy level,not only modulating band structure toward enhanced intrinsic conductivity of Ta-based materials,but also promoting polysulfide stabilization and achieving bifunctional catalytic capability toward completely reversible polysulfide conversion.Moreover,the interconnected continuous Ta3N5-x-in-pore structure facilitates electron and sodium-ion transport and accommodates volume expansion of sulfur species while suppressing their shuttle behavior.Due to these attributes,the as-developed Ta3N5-x-based electrode achieves superior rate capability of 730 mAh g-1 at 3.35 A g-1,long-term cycling stability over 2000 cycles,and high areal capacity over 6 mAh cm-2 under high sulfur loading of 6.2 mg cm-2.This work not only presents a new sulfur electrocatalyst candidate for metal-sulfur batteries,but also sheds light on the controllable material design of defect structure in hopes of inspiring new ideas and directions for future research. | Zhen Zhang Dan Luo Jun Chen Chuyin Ma Matthew Li Haoze Zhang Renfei Feng Rui Gao Haozhen Dou Aiping Yu Xin Wang Zhongwei Chen | 2024 | Science Bulletin2024，69，2： | 0 |
| 8 | On the applicability of the‘humic acids’nomenclature from natural ecosystems to engineering sciences显示文摘‘Humic acids(HA)’are the major constituents of natural organic matter(NOM)derived from the plant or biological residues by decomposition and synthesis in natural ecosystems.They have been defined as relatively high molecular weight aggregates of macromolecules associations with series of highly reactive functional compounds,and considered to be as irreplaceable roles(such as the impact on global carbon and nitrogen dynamics,atmosphere,living plants,chemically reactive and NOM structure stabilization)in natural ecosystems[1]. | Xinyu Zhao Beidou Xi Wenbing Tan Xiang Li Qiuling Dang Renfei Li | 2021 | Environmental Science and Ecotechnology2021，，2： | 0 |
| 9 | Ecogeographical variation of 12 morphological traits within Pinus tabulaeformis: the effects of environmental factors and demographic histories显示文摘Aims More data are needed about how genetic variation(GV)and envi-ronmental factors influence phenotypic variation within the natural populations of long-lived species with broad geographic distribu-tions.To fill this gap,we examined the correlations among envi-ronmental factors and phenotypic variation within and among 13 natural populations of Pinus tabulaeformis consisting of four demo-graphically distinct groups within the entire distributional range.Methods Using the Akaike’s information Criterion(AiC)model,we measured 12 morphological traits and constructed alternative candidate models for the relationships between each morphological trait and key climatic variables and genetic groups.We then compared the AiC weight for each candidate model to identify the best approximating model for ecogeographical variation of P.tabulaeformis.The partitioning of vari-ance was assessed subsequently by evaluating the independent vari-ables of the selected best models using partial redundancy analysis.Important Findings Significant phenotypic variation of the morphological traits was observed both within individual populations and among populations.Variation partition analyses showed that most of the phenotypic variation was co-determined by both GV and climatic factors.GV accounted for the largest proportion of reproductive trait variation,whereas local key climatic factors(i.e.actual evapotranspiration,AET)accounted for the largest proportion of phenotypic variation in the remaining investigated traits.Our results indicate that both genetic divergence and key environmental factors affect the phenotypic variation observed among populations of this species,and that reproductive and vegetative traits adaptively respond differently with respect to local environmental conditions.This partitioning of factors can inform those making predictions about phenotypic variation in response to future changes in climatic conditions(particularly those affecting AET). | Mingfei Ji Jianming Deng Buqing Yao Renfei Chen Zhexuan Fan Jiawei Guan Xiaowei Li Fan Wu Karl J.Niklas | 2017 | Journal of Plant Ecology2017，10，2： | 0 |
| 10 | Intercalation-deintercalation design in MXenes for high-performance supercapacitors显示文摘MXene is a new intercalation pseudocapacitive electrode material for supercapacitor application.Intensifying fast ion diffusion is significantly essential for MXene to achieve excellent electrochemical performance.The expansion of interlayer void by traditional spontaneous species intercalation always leads to a slight increase in capacitance due to the existence of species sacrificing the smooth diffusion of electrolyte ions.Herein,an effective intercalation-deintercalation interlayer design strategy is proposed to help MXene achieve higher capacitance.Electrochemical cation intercalation leads to the expansion of interlayer space.After electrochemical cation extraction,intercalated cations are deintercalated mostly,leaving a small number of cations trapped in the interlayer silt and serving as pillars to maintain the interlayer space,offering an open,unobstructed interlayer space for better ion migration and storage.Also,a preferred surface with more-O terminations for redox reaction is created due to the reaction between cations and-OH terminations.As a result,the processed MXene delivers a much improved capacitance compared to that of the original Ti_(3)C_(2)T_(x)electrode(T stands for the surface termination groups,such as-OH,-F,and-O).This study demonstrates an improvement of electrochemical performance of MXene electrodes by controlling the interlayer structure and surface chemistry. | Zhenjiang Li Jun Dai Yiran Li Changlong Sun Alan Meng Renfei Cheng Jian Zhao Minmin Hu Xiaohui Wang | 2022 | Nano Research2022，15，4： | 0 |
| 11 | Tunnel-structured willemite Zn_(2)SiO_(4):Electronic structure,elastic,and thermal properties显示文摘Willemite Zn_(2)SiO_(4)crystallizes in such a way that Zn and Si are tetrahedrally coordinated with O in an ionic–covalent manner to form ZnO_(4)and SiO_(4)tetrahedra as the building units.The tetrahedra are corner-sharing,of which one SiO_(4)tetrahedron connects eight ZnO_(4)tetrahedra,and one ZnO_(4)tetrahedron links four ZnO_(4)tetrahedra and four SiO_(4)tetrahedra.The unique crystallographic configuration gives rise to parallel tunnels with a diameter of 5.7Åalong the c-axis direction.The tunnel structure of Zn_(2)SiO_(4)definitely correlates with its interesting elastic and thermal properties.On the one hand,the elastic modulus,coefficient of thermal expansion(CTE),and thermal conductivity are low.Zn_(2)SiO_(4)has low Vickers hardness of 6.6 GPa at 10 N and low thermal conductivity of 2.34 W/(m·K)at 1073 K.On the other hand,the elastic modulus and CTE along the c-axis are significantly larger than those along the a-and b-axes,showing obvious elastic and thermal expansion anisotropy.Specifically,the Young’s modulus along the z direction(Ez=179 GPa)is almost twice those in the x and y directions(Ex=Ey=93 GPa).The high thermal expansion anisotropy is ascribed to the empty tunnels along the c-axis,which are capable of more accommodating the thermal expansion along the a-and b-axes.The striking properties of Zn_(2)SiO_(4)in elastic modulus,hardness,CTE,and thermal conductivity make it much useful in various fields of ceramics,such as low thermal expansion,thermal insulation,and machining tools. | Ruqiao DAI Renfei CHENG Jiemin WANG Chao ZHANG Cuiyu LI Hailong WANG Xiaohui WANG Yanchun ZHOU | 2022 | Journal of Advanced Ceramics2022，11，8： | 0 |
| 12 | Interfacial Electronic Modulation of Dual-Monodispersed Pt–Ni_(3)S_(2) as Efficacious Bi-Functional Electrocatalysts for Concurrent H_(2) Evolution and Methanol Selective Oxidation显示文摘Constructing the efficacious and applicable bifunctional electrocatalysts and establishing out the mechanisms of organic electro-oxidation by replacing anodic oxygen evolution reaction(OER) are critical to the development of electrochemicallydriven technologies for efficient hydrogen production and avoid CO_(2) emission. Herein, the hetero-nanocrystals between monodispersed Pt(~ 2 nm) and Ni_(3)S_(2)(~ 9.6 nm) are constructed as active electrocatalysts through interfacial electronic modulation, which exhibit superior bi-functional activities for methanol selective oxidation and H_(2) generation. The experimental and theoretical studies reveal that the asymmetrical charge distribution at Pt–Ni_(3)S_(2) could be modulated by the electronic interaction at the interface of dual-monodispersed heterojunctions, which thus promote the adsorption/desorption of the chemical intermediates at the interface. As a result, the selective conversion from CH_(3)OH to formate is accomplished at very low potentials(1.45 V) to attain 100 m A cm^(-2) with high electronic utilization rate(~ 98%) and without CO_(2) emission. Meanwhile, the Pt–Ni_(3)S_(2) can simultaneously exhibit a broad potential window with outstanding stability and large current densities for hydrogen evolution reaction(HER) at the cathode. Further, the excellent bi-functional performance is also indicated in the coupled methanol oxidation reaction(MOR)//HER reactor by only requiring a cell voltage of 1.60 V to achieve a current density of 50 m A cm^(-2) with good reusability. | Qianqian Zhao Bin Zhao Xin Long Renfei Feng Mohsen Shakouri Alisa Paterson Qunfeng Xiao Yu Zhang Xian‑Zhu Fu Jing‑Li Luo | 2024 | Nano-Micro Letters2024，16，4： | 0 |
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