|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Ni/MgO catalyst prepared via dielectric-barrier discharge plasma with improved catalytic performance for carbon dioxide reforming of methane显示文摘 | Yan LI Zhehao WEI Yong WANG | 2014 | Frontiers of Chemical Science and Engineering2014,8,2: | 5 |
| 2 | Root tensile strength of terrace hedgerow plants in the karst trough valleys of SW China:Relation with root morphology and fiber content显示文摘Root tensile strength is commonly affected by root morphology and fiber content,which combinedly affect the effectiveness of terrace hedgerow on controlling soil erosion in sloping farmland.However,the relationships between these root characteristics are still elusive.This study aimed to compare the root tensile strength,root morphologies,and root fiber contents,and quantify their differences among different plant species.Complete root systems of three terrace hedgerow plant species,i.e.,O.bodinieri,V.villosa,and D.lablab L.were sampled for detecting root morphologies and fiber contents at different slope positions on a representative hillslope in karst trough valley.Single root specimens were collected to measure root tensile properties for these three plant species.Results showed that most root morphological parameters were the highest in O.bodinieri,followed by D.lablab L.Three plant species presented the same dominant diameter class as<1.0 mm,and root volumes as<1.50 cm3.Cellulose with contents closing to 50%was the main fiber type,and increased significantly linearly with the increasing root diameter in both O.bodinieri and V.villosa.The highest tensile strength and Young's modulus were found in D.lablab L.,while the best ultimate tensile force and ultimate elongation were displayed in O.bodinieri.Root diameter showed negative power relationships with tensile strength and Young's modulus,a positive power relationship with ultimate tensile force,and a positive linear relationship with ultimate elongation.Our results will deepen the understanding of the terrace hedgerow functions for controlling soil erosion worldwide. | Yun Chen Han Tang Binghui He Zhehao Yan Xiaohong Liu Jiaojiao Qiang | 2022 | International Soil and Water Conservation Research2022,10,4: | 3 |
| 3 | Assessment of river basin habitat quality and its relationship with disturbance factors: A case study of the Tarim River Basin in Northwest China显示文摘The status of regional biodiversity is determined by habitat quality.The effective assessment of habitat quality can help balance the relationship between economic development and biodiversity conservation.Therefore,this study used the InVEST model to conduct a dynamic evaluation of the spatial and temporal changes in habitat quality of the Tarim River Basin in southern Xinjiang Uygur Autonomous Region of China by calc ulating the degradation degree levels for habitat types that were caused by threat factors from 1990 to 2018(represented by four periods of 1990,2000,2010 and 2018).Specifically,we used spatial autocorrelation analysis and Getis-Ord Gi*analysis to divide the study area into three heterogeneous units in terms of habitat quality:cold spot areas,hot spot areas and random areas.Hemeroby index,population density,gross domestic product(GDP),altitude and distance from water source(DWS)were then chosen as the main disturbance factors.Linear correlation and spatial regression models were subsequently used to analyze the influences of disturbance factors on habitat quality.The results demonstrated that the overall level of habitat quality in the TRB was poor,showing a continuous degradation state.The intensity of the negative correlation between habitat quality and Hemeroby index was proven to be strongest in cold spot areas,hot spot areas and random areas.The spatial lag model(SLM)was better suited to spatial regression analysis due to the spatial dependence of habitat quality and disturbance factors in heterogeneous units.By analyzing the model,Hemeroby index was found to have the greatest impact on habitat quality in the studied four periods(1990,2000,2010 and2018).The research results have potential guiding significance for the formulation of reasonable management policies in the TRB as well as other river basins in arid areas. | HE Bing CHANG Jianxia GUO Aijun WANG Yimin WANG Yan LI Zhehao | 2022 | Journal of Arid Land2022,14,2: | 2 |
| 4 | Tomato SIBL4 plays an important role in fruit pedicel organogenesis and abscission显示文摘Abscission,a cell separation process,is an important trait that in fluences grain and fruit yield.We previously reported that BEL1-LIKE HOMEODOMAIN 4(SIBL4)is involved in chloroplast development and cell wall metabolism in tomato fruit.In the present study,we showed that silencing SIBL4 resulted in the enlargement and pre-abscission of the tomato(Solanum lycopersicum cv.Micro-TOM)fruit pedicel.The anatomic analysis showed the presence of more epidermal cell layers and no obvious abscission zone(AZ)in the SlBL4 RNAi lines compared with the wild-type plants.RNA-seq analysis indicated that the regulation of abscission by SlBL4 was associated with the altered abundance of genes related to key meristems,auxin transporters,signaling components,and cell wall metabolism.Furthermore,SlBL4 positively affected the auxin concentration in the abscission zone.A dual-luciferase reporter assay revealed that SlBL4 activated the transcription of the JOINTLESS,OVATE,PIN1,and LAX3 genes.We reported a novel function ofSlBL4,which plays key roles in fruit pedicel organogenesis and abscission in tomatoes. | Fang Yan Zhehao Gong Guojian Hu Xuesong Ma Runyao Bai Ruonan Yu Qiang Zhang Wei Deng Zhengguo Li Hada Wuriyanghan | 2021 | Horticulture Research2021,8,1: | 1 |
| 5 | A review of medical artificial intelligence显示文摘Since the concept of“artificial intelligence”was introduced in 1956,it has led to numerous technological innovations in human medicine and completely changed the traditional model of medicine.In this study,we mainly explain the application of artificial intelligence in various fields of medicine from four aspects:machine learning,intelligent robot,image recognition technology,and expert system.In addition,we discuss the existing problems and future trends in these areas.In recent years,through the development of globalization,various research institutions around the world has conducted a number of researches on this subject.Therefore,medical artificial intelligence has attained significant breakthroughs and will demonstrate wide development prospection in the future. | Rong Liu Yan Rong Zhehao Peng | 2020 | Global Health Journal2020,4,2: | 1 |
| 6 | Effects of CeO 2 support facets on VO x /CeO 2 catalysts in oxidative dehydrogenation of methanol显示文摘 | Yan Li Zhehao Wei Feng Gao Libor Kovarik Charles H.F. Peden Yong Wang | 2014 | Journal of Catalysis2014,,: | 1 |
| 7 | Monitoring the in vivo siRNA release from lipid nanoparticles based on the fluorescence resonance energy transfer principle显示文摘The siRNA-loaded lipid nanoparticles have attracted much attention due to its significant gene silencing effect and successful marketization.However,the in vivo distribution and release of siRNA still cannot be effectively monitored.In this study,based on the fluorescence resonance energy transfer(FRET)principle,a fluorescence dye Cy5-modified survivin siRNA was conjugated to nanogolds(Au-DR-siRNA),which were then wrapped with lipid nanoparticles(LNPs)for monitoring the release behaviour of siRNA in vivo.The results showed that once Au-DR-siRNA was released from the LNPs and cleaved by the Dicer enzyme to produce free siRNA in cells,the fluorescence of Cy5 would change from quenched state to activated state,showing the location and time of siRNA release.Besides,the LNPs showed a significant antitumor effect by silencing the survivin gene and a CT imaging function superior to iohexol by nanogolds.Therefore,this work provided not only an effective method for monitoring the pharmacokinetic behaviour of LNP-based siRNA,but also a siRNA delivery system for treating and diagnosing tumors. | Lei Sun Jinfang Zhang Jing-e Zhou JingWang Zhehao Wang Shenggen Luo Yeying Wang Shulei Zhu Fan Yang Jie Tang Wei Lu Yiting Wang Lei Yu Zhiqiang Yan | 2023 | Asian Journal of Pharmaceutical Sciences2023,18,1: | 0 |