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| 1 | Rethinking phonons:The issue of disorder显示文摘Current understanding of phonons treats them as plane waves/quasi-particles of atomic vibration that propagate and scatter.The problem is that conceptually,when any level of disorder is introduced,whether compositional or structural,the character of vibrational modes in solids changes,yet nearly all theoretical treatments continue to assume phonons are still waves.For example,the phonon contributions to alloy thermal conductivity(TC)rely on this assumption and are most often computed from the virtual crystal approximation(VCA).Good agreement is obtained in some cases,but there are many instances where it fails—both quantitatively and qualitatively.Here,we show that the conventional theory and understanding of phonons requires revision,because the critical assumption that all phonons/normal modes resemble plane waves with well-defined velocities is no longer valid when disorder is introduced.Here we show,surprisingly,that the character of phonons changes dramatically within the first few percent of impurity concentration,beyond which phonons more closely resemble the modes found in amorphous materials.We then utilize a different theory that can treat modes with any character and experimentally confirm its new insights. | Hamid Reza Seyf Luke Yates Thomas L.Bougher Samuel Graham Baratunde A.Cola Theeradetch Detchprohm Mi-Hee Ji Jeomoh Kim Russell Dupuis Wei Lv Asegun Henry | 2017 | npj Computational Materials2017，，1： | 1 |
| 2 | Effects of finger tapping fre-quency on regional homogeneity of sensorimotor cortex 显示文摘 | Yating LV Daniel S Margulies AV | 2013 | PLoS One2013，8，5： | 1 |
| 3 | Decreased regional homogeneity in insula and cerebellum: A resting-state fMRI study in patients with major depression and subjects at high risk for major depression显示文摘 | Zhifen Liu Cheng Xu Yong Xu Yanfang Wang Bing Zhao Yating Lv Xiaohua Cao Kerang Zhang Chongxi Du | 2010 | Psychiatry Research: Neuroimaging2010，，3： | 1 |
| 4 | Dammarane-type triterpenoid saponins isolated from Gynostemma pentaphyllum ameliorate liver fibrosis via agonizing PP2Cαand inhibiting deposition of extracellular matrix显示文摘Gypenosides,structurally analogous to ginsenosides and derived from a sustainable source,are recognized as the principal active compounds found in Gynostemma pentaphyllum,a Chinese medicinal plant used in the treatment of the metabolic syndrome.By bioactive tracking isolation of the plants collected from different regions across China,we obtained four new gypenosides(1−4),together with nine known gypenosides(5−13),from the methanol extract of the plant.The structures of new gypenosides were elucidated by one-dimensional(1D)and two-dimensional(2D)nuclear magnetic resonance(NMR)spectra,complemented by chemical degradation experiments.Through comprehensive evaluation involving COL1A1 promoter assays and PP2Cαactivity assays,we established a definitive structure-activity relationship for these dammarane-type triterpenoids,affirming the indispensability of the C-3 saccharide chain and C-17 lactone ring in effectively impeding extracellular matrix(ECM)deposition within hepatic stellate cells.Further in vivo study on the CCl4-induced liver damage mouse model corroborated that compound 5 significantly ameliorated the process of hepatic fibrosis by oral administration.These results underscore the potential of dammarane-type triterpenoids as prospective antifibrotic leads and highlight their prevalence as key molecular frameworks in the therapeutic intervention of chronic hepatic disorders. | LIU Yue YANG Yating WANG Hanghang LI Han LV Qi WANG Xiachang WU Dalei HU Lihong ZHANG Yinan | 2023 | Chinese Journal of Natural Medicines2023，21，8： | 1 |
| 5 | QTL Mapping of Vernalization Requirement in Brassica rapa显示文摘An F2 population,derived from a cross between the vernalization independent genotype‘Rc Br'and the vernalization dependent genotype‘08A061',was developed to construct a linkage map with 165 SSR and In Del markers. QTL analysis was performed by two phenotypic evaluation( days to 5 cm elongate stalk and flowering time) based on the difference in F2: 3families under vernalization and no vernalization. The results showed that the vernalization requirement was recessive in Brassica rapa. Seven QTLs that controlled vernalization requirement were detected on A02 and A06 linkage groups,which explained phenotypic variation ranging from 0. 08% to 22. 52%. Two QTLs( VR-DE01,VR-FT01) were detected on the top of A02,which explained 22. 52% and 14. 54% of the phenotypic variation,respectively,and closely linked with Br FLC2 gene. Two QTLs( VR-DE03,VR-DE04) were detected on A06 with 13. 30% and 13. 64% of phenotypic variation. These detected QTLs will provide useful information on understanding the genetic basis between vernalization requirement and bolting,and that will be useful for marker-assisted selection( MAS) in a breeding program for bolting resistant cultivars. | Yating LIU Lei ZHANG Xiaohong JI Xixi LV Yugang WANG Hui FENG | 2015 | Agricultural Biotechnology2015，4，4： | 0 |
| 6 | A visual analysis approach for data imputation via multi-party tabular data correlation strategies显示文摘Data imputation is an essential pre-processing task for data governance,aimed at filling in incomplete data.However,conventional data imputation methods can only partly alleviate data incompleteness using isolated tabular data,and they fail to achieve the best balance between accuracy and eficiency.In this paper,we present a novel visual analysis approach for data imputation.We develop a multi-party tabular data association strategy that uses intelligent algorithms to identify similar columns and establish column correlations across multiple tables.Then,we perform the initial imputation of incomplete data using correlated data entries from other tables.Additionally,we develop a visual analysis system to refine data imputation candidates.Our interactive system combines the multi-party data imputation approach with expert knowledge,allowing for a better understanding of the relational structure of the data.This significantly enhances the accuracy and eficiency of data imputation,thereby enhancing the quality of data governance and the intrinsic value of data assets.Experimental validation and user surveys demonstrate that this method supports users in verifying and judging the associated columns and similar rows using theirdomain knowledge. | Haiyang ZHU Dongming HAN Jiacheng PAN Yating WEI Yingchaojie FENG Luoxuan WENG Ketian MAO Yuankai XING Jianshu LV Qiucheng WAN Wei CHEN | 2024 | Frontiers of Information Technology & Electronic Engineering2024，25，3： | 0 |
| 7 | Erratum to: A visual analysis approach for data imputation via multi-party tabular data correlation strategies显示文摘 | Haiyang ZHU Dongming HAN Jiacheng PAN Yating WEI Yingchaojie FENG Luoxuan WENG Ketian MAO Yuankai XING Jianshu LV Qiucheng WAN Wei CHEN | 2024 | Frontiers of Information Technology & Electronic Engineering2024，25，3： | 0 |
| 8 | Structure-aware fusion network for 3D scene understanding显示文摘In this paper,we propose a Structure-Aware Fusion Network(SAFNet)for 3D scene understanding.As 2D images present more detailed information while 3D point clouds convey more geometric information,fusing the two complementary data can improve the discriminative ability of the model.Fusion is a very challenging task since 2D and 3D data are essentially different and show different formats.The existing methods first extract 2D multi-view image features and then aggregate them into sparse 3D point clouds and achieve superior performance.However,the existing methods ignore the structural relations between pixels and point clouds and directly fuse the two modals of data without adaptation.To address this,we propose a structural deep metric learning method on pixels and points to explore the relations and further utilize them to adaptively map the images and point clouds into a common canonical space for prediction.Extensive experiments on the widely used ScanNetV2 and S3DIS datasets verify the performance of the proposed SAFNet. | Haibin YAN Yating LV Venice Erin LIONG | 2022 | Chinese Journal of Aeronautics2022，35，5： | 0 |
| 9 | Silica Modulation of Raney Nickel Catalysts for Selective Hydrogenation显示文摘Selective hydrogenation over earth-abundant metal catalysts is challenging but particularly valuable for practical applications in heterogeneous catalysis.Herein,we demonstrate that the catalytic selectivity of the commercial Raney nickel catalyst can be greatly tuned by modulation of the nickel surface by silica.Using quinoline hydrogenation as a model,we show that the silica-modified Raney nickel catalysts exhibit good activity,excellent selectivity,and long stability,whereas the undesired over-hydrogenation reactions are effectively hindered.In contrast,the pristine Raney nickel catalyst shows inferior selectivity for the targeted product.Mechanistic studies confirm a positive role of silica to facilitate the desorption of 1,2,3,4-tetrahydroquinoline from the catalyst surface,thus enhancing the product selectivity. | Yating Lv Hai Wang Huixin Wu Qingsong Luo Liang Wang Feng-Shou Xiao | 2023 | Precision Chemistry2023，1，5： | 0 |
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