We study the spatiotemporal Bloch states of a high-frequency driven two-component Bose–Einstein condensate(BEC)with spin–orbit coupling(SOC) in an optical lattice. By adopting the rotating-wave approximation(RWA) an...We study the spatiotemporal Bloch states of a high-frequency driven two-component Bose–Einstein condensate(BEC)with spin–orbit coupling(SOC) in an optical lattice. By adopting the rotating-wave approximation(RWA) and applying an exact trial-solution to the corresponding quasistationary system, we establish a different method for tuning SOC via external field such that the existence conditions of the exact particular solutions are fitted. Several novel features related to the exact states are demonstrated; for example, SOC leads to spin–motion entanglement for the spatiotemporal Bloch states, SOC increases the population imbalance of the two-component BEC, and SOC can be applied to manipulate the stable atomic flow which is conducive to control quantum transport of the BEC for different application purposes.展开更多
We investigate the chaotic dynamics of a coupled three-level atom–molecular Bose–Einstein condensate system composed by one molecular mode and two atomic modes.With the increase of atom–molecular coupling strength,...We investigate the chaotic dynamics of a coupled three-level atom–molecular Bose–Einstein condensate system composed by one molecular mode and two atomic modes.With the increase of atom–molecular coupling strength,we reveal the emergence of chaotic oscillations of the relative population difference between two atomic modes,which can be proven by the broad windows with a huge number of frequencies in spectral density and the chaotic trajectories in phase space diagrams.The different effects of initial states on atomic population oscillations are revealed,where for more particles in the initial state of the molecular model,chaos appears in the larger parameter region of system dynamics.Furthermore,we find that strong intermolecular interaction strength can suppress chaos resulting from strong atom–molecule coupling.This is due to the difficult transformation between atomic and molecular modes,as well as the relatively independent dynamic evolution of atoms and molecules.展开更多
Entity alignment is the problem of identifying which entities in a data source refer to the same real-world entity in the others.Identifying entities across heterogeneous data sources is paramount to many research fie...Entity alignment is the problem of identifying which entities in a data source refer to the same real-world entity in the others.Identifying entities across heterogeneous data sources is paramount to many research fields,such as data cleaning,data integration,.information retrieval and machine learning.The aligning process is not only overwhelmingly expensive for large data sources since it involves all tuples from two or more data sources,but also need to handle heterogeneous entity attributes.In this paper,we propose an unsupervised approach,called EnAli,to match entities across two or more heterogeneous data sources.EnAli employs a generative probabilistic model to incorporate the heterogeneous entity attributes via employing exponential family,handle missing values,and also utilize the locality sensitive hashing schema to reduce the candidate tuples and speed up the aligning process.EnAli is highly accurate and efficient even without any ground-truth tuples.We illustrate the performance of EnAli on re-identifying entities from the same data source,as well as aligning entities across three real data sources.Our experimental results manifest that our proposed approach outperforms the comparable baseline.展开更多
The effects of MoO3thin buffer layer on charge carrier injection and extraction in inverted configuration ITO/ZnO/MEH-PPV(poly(2-methoxy-5-(2-ethylhexyloxy)-1,4-phenylenevinylene))/MoO3(0,5 nm)/Ag hybrid solar cells a...The effects of MoO3thin buffer layer on charge carrier injection and extraction in inverted configuration ITO/ZnO/MEH-PPV(poly(2-methoxy-5-(2-ethylhexyloxy)-1,4-phenylenevinylene))/MoO3(0,5 nm)/Ag hybrid solar cells are investigated by capacitance–voltage measurement under dark and light illumination conditions.The efficiency of charge carrier injection and extraction is enhanced by inserting 5 nm MoO3thin layer,resulting in better device performances.Charge carrier transport of the whole device is improved and the interface energy barrier is reduced by inserting 5 nm MoO3thin buffer layer.The device fill factor is increased from 54.1%to 57.5%after modifying 5 nm MoO3.Simulations and experimental results consistently show that in the forward voltage under dark,the device with the 5 nm MoO3thin layer modification generates larger value of capacitance than the device without MoO3layer.While under illumination,the device with the 5 nm MoO3layer generates smaller value of capacitance than the device without the 5 nm MoO3layer in the bias region of reverse and before the peak position of maximum capacitance(VCmax).The underlying mechanism of the MoO3anode buffer layer on device current density–voltage characteristics is discussed.展开更多
Heterogeneous information networks,which consist of multi-typed vertices representing objects and multi-typed edges representing relations between objects,are ubiquitous in the real world.In this paper,we study the pr...Heterogeneous information networks,which consist of multi-typed vertices representing objects and multi-typed edges representing relations between objects,are ubiquitous in the real world.In this paper,we study the problem of entity matching for heterogeneous information networks based on distributed network embedding and multi-layer perceptron with a highway network,and we propose a new method named DEM short for Deep Entity Matching.In contrast to the traditional entity matching methods,DEM utilizes the multi-layer perceptron with a highway network to explore the hidden relations to improve the performance of matching.Importantly,we incorporate DEM with the network embedding methodology,enabling highly efficient computing in a vectorized manner.DEM's generic modeling of both the network structure and the entity attributes enables it to model various heterogeneous information networks flexibly.To illustrate its functionality,we apply the DEM algorithm to two real-world entity matching applications:user linkage under the social network analysis scenario that predicts the same or matched users in different social platforms and record linkage that predicts the same or matched records in different citation networks.Extensive experiments on real-world datasets demonstrate DEM's effectiveness and rationality.展开更多
Atherosclerosis is a chronic inflammatory metabolic disease with a complex pathogenesis.However,the exact details of its pathogenesis are still unclear,which limits effective clinical treatment of atherosclerosis.Rece...Atherosclerosis is a chronic inflammatory metabolic disease with a complex pathogenesis.However,the exact details of its pathogenesis are still unclear,which limits effective clinical treatment of atherosclerosis.Recently,multiple studies have demonstrated that the gut microbiota plays a pivotal role in the onset and progression of atherosclerosis.This review discusses possible treatments for atherosclerosis using the gut microbiome as an intervention target and summarizes the role of the gut microbiome and its metabolites in the development of atherosclerosis.New strategies for the treatment of atherosclerosis are needed.This review provides clues for further research on the mechanisms of the relationship between the gut microbiota and atherosclerosis.展开更多
基金Project supported by the National Natural Science Foundation of China(Grant No.11475060)
文摘We study the spatiotemporal Bloch states of a high-frequency driven two-component Bose–Einstein condensate(BEC)with spin–orbit coupling(SOC) in an optical lattice. By adopting the rotating-wave approximation(RWA) and applying an exact trial-solution to the corresponding quasistationary system, we establish a different method for tuning SOC via external field such that the existence conditions of the exact particular solutions are fitted. Several novel features related to the exact states are demonstrated; for example, SOC leads to spin–motion entanglement for the spatiotemporal Bloch states, SOC increases the population imbalance of the two-component BEC, and SOC can be applied to manipulate the stable atomic flow which is conducive to control quantum transport of the BEC for different application purposes.
基金supported by the National Natural Science Foundation of China under Grant Nos.11705155 and 11647061a project supported by the Scientific Research Fund of Hunan Provincial Education Department under Grant No.20C1711+2 种基金Scientific Research Foundation of Xiangnan University for High-Level Talents,the Applied Characteristic Disciplines of Electronic Science and Technology of Xiangnan University (XNXY20221210)Innovation and Entrepreneurship Training Program for College Students in Xiangnan University ([2022]78)Scientific research project of Xiangnan University ([2022]96)。
文摘We investigate the chaotic dynamics of a coupled three-level atom–molecular Bose–Einstein condensate system composed by one molecular mode and two atomic modes.With the increase of atom–molecular coupling strength,we reveal the emergence of chaotic oscillations of the relative population difference between two atomic modes,which can be proven by the broad windows with a huge number of frequencies in spectral density and the chaotic trajectories in phase space diagrams.The different effects of initial states on atomic population oscillations are revealed,where for more particles in the initial state of the molecular model,chaos appears in the larger parameter region of system dynamics.Furthermore,we find that strong intermolecular interaction strength can suppress chaos resulting from strong atom–molecule coupling.This is due to the difficult transformation between atomic and molecular modes,as well as the relatively independent dynamic evolution of atoms and molecules.
基金the National Key Research and Development Program of China (2016YFB1000905)the National Natural Science Foundation of China (Grant Nos.U1401256, 61402177,61672234,61402180 and 61232002)NSF of Shanghai (14ZR1412600).
文摘Entity alignment is the problem of identifying which entities in a data source refer to the same real-world entity in the others.Identifying entities across heterogeneous data sources is paramount to many research fields,such as data cleaning,data integration,.information retrieval and machine learning.The aligning process is not only overwhelmingly expensive for large data sources since it involves all tuples from two or more data sources,but also need to handle heterogeneous entity attributes.In this paper,we propose an unsupervised approach,called EnAli,to match entities across two or more heterogeneous data sources.EnAli employs a generative probabilistic model to incorporate the heterogeneous entity attributes via employing exponential family,handle missing values,and also utilize the locality sensitive hashing schema to reduce the candidate tuples and speed up the aligning process.EnAli is highly accurate and efficient even without any ground-truth tuples.We illustrate the performance of EnAli on re-identifying entities from the same data source,as well as aligning entities across three real data sources.Our experimental results manifest that our proposed approach outperforms the comparable baseline.
基金supported by the National Basic Research Program of China(2010CB327704)the Research Fund for the Doctoral Program of Higher Education(20130009130001)+3 种基金the National Natural Science Foundation of China(51272022)the Research Fund for the Doctoral Program of Higher Education(20120009130005)the Program for New Century Excellent Talents in University of Ministry of Education of China(NCET-10-0220)the Fundamental Research Funds for the Central Universities(2012JBZ001)
文摘The effects of MoO3thin buffer layer on charge carrier injection and extraction in inverted configuration ITO/ZnO/MEH-PPV(poly(2-methoxy-5-(2-ethylhexyloxy)-1,4-phenylenevinylene))/MoO3(0,5 nm)/Ag hybrid solar cells are investigated by capacitance–voltage measurement under dark and light illumination conditions.The efficiency of charge carrier injection and extraction is enhanced by inserting 5 nm MoO3thin layer,resulting in better device performances.Charge carrier transport of the whole device is improved and the interface energy barrier is reduced by inserting 5 nm MoO3thin buffer layer.The device fill factor is increased from 54.1%to 57.5%after modifying 5 nm MoO3.Simulations and experimental results consistently show that in the forward voltage under dark,the device with the 5 nm MoO3thin layer modification generates larger value of capacitance than the device without MoO3layer.While under illumination,the device with the 5 nm MoO3layer generates smaller value of capacitance than the device without the 5 nm MoO3layer in the bias region of reverse and before the peak position of maximum capacitance(VCmax).The underlying mechanism of the MoO3anode buffer layer on device current density–voltage characteristics is discussed.
基金supported by the National Natural Science Foundation of China Youth Fund under Grant No.61902001.
文摘Heterogeneous information networks,which consist of multi-typed vertices representing objects and multi-typed edges representing relations between objects,are ubiquitous in the real world.In this paper,we study the problem of entity matching for heterogeneous information networks based on distributed network embedding and multi-layer perceptron with a highway network,and we propose a new method named DEM short for Deep Entity Matching.In contrast to the traditional entity matching methods,DEM utilizes the multi-layer perceptron with a highway network to explore the hidden relations to improve the performance of matching.Importantly,we incorporate DEM with the network embedding methodology,enabling highly efficient computing in a vectorized manner.DEM's generic modeling of both the network structure and the entity attributes enables it to model various heterogeneous information networks flexibly.To illustrate its functionality,we apply the DEM algorithm to two real-world entity matching applications:user linkage under the social network analysis scenario that predicts the same or matched users in different social platforms and record linkage that predicts the same or matched records in different citation networks.Extensive experiments on real-world datasets demonstrate DEM's effectiveness and rationality.
基金financially supported by the National Natural Science Foundation of China(Nos.82170342,T2288101,82303578,and 82372626)the Fundamental Research Project for Shanghai Municipal Health Commission(20214Y0328 and 23YF1438700)the Fundamental Research Funds for Minhang Hospital(No.2023MHBJ01).
文摘Atherosclerosis is a chronic inflammatory metabolic disease with a complex pathogenesis.However,the exact details of its pathogenesis are still unclear,which limits effective clinical treatment of atherosclerosis.Recently,multiple studies have demonstrated that the gut microbiota plays a pivotal role in the onset and progression of atherosclerosis.This review discusses possible treatments for atherosclerosis using the gut microbiome as an intervention target and summarizes the role of the gut microbiome and its metabolites in the development of atherosclerosis.New strategies for the treatment of atherosclerosis are needed.This review provides clues for further research on the mechanisms of the relationship between the gut microbiota and atherosclerosis.