Huangqin tea(HQT),derived from the aerial parts of various Scutellaria species,in particular S.baicalensis Georgi,has a long history of traditional use in China.Its significance has grown in recent years due to its po...Huangqin tea(HQT),derived from the aerial parts of various Scutellaria species,in particular S.baicalensis Georgi,has a long history of traditional use in China.Its significance has grown in recent years due to its potential anti-aging,colon cancer chemopreventive,and cardiovascular protective properties.Huangqin tea source plants have identified over 295 chemical constituents,including flavonoids,essential oils,phenolic acids,sterols,diterpenes,polysaccharides,and amino acids.Pharmacological research has underscored the diverse beneficial effects of Huangqin tea and flavonoid extracts.These effects encompass anti-inflammatory,antiviral,anti-bacterial,antipyretic,and analgesic properties,along with neuroprotective effects and protection against cardiovascular and cerebrovascular diseases.Safety studies indicate that HQT is generally safe within recommended dosages and historical use.HQT presents multifaceted potential health benefits,though comprehensive research is necessary to ensure its effectiveness and safety in human applications.展开更多
The rapid development of online social network has attracted a lot of research attention. On online social network, people can discuss their ideas, express their interests and opinions, all of which are demonstrated b...The rapid development of online social network has attracted a lot of research attention. On online social network, people can discuss their ideas, express their interests and opinions, all of which are demonstrated by information propagation. So how to model the information propagation cascade accurately has become a hot topic. In this paper, we firstly incorporate the retweet probability into the traditional propagation models. To find the accurate retweet probability, we introduce the logistic regression model for every user based on the extracted features. With the crawled real dataset, simulation is conducted on the real online social network and moreover some novel results have been obtained. The homogenous retweet probability in the original model has underestimated the speed of information propagation, despite the scale of information propagation is almost at the same level. Besides, the initial information poster is really important for a certain propagation, which enables us to make effective strategies to prevent epidemics of rumor on social network.展开更多
Graph layout can help users explore graph data intuitively.However,when handling large graph data volumes,the high time complexity of the layout algorithm and the overlap of visual elements usually lead to a significa...Graph layout can help users explore graph data intuitively.However,when handling large graph data volumes,the high time complexity of the layout algorithm and the overlap of visual elements usually lead to a significant decrease in analysis efficiency and user experience.Increasing computing speed and improving visual quality of large graph layouts are two key approaches to solving these problems.Previous surveys are mainly conducted from the aspects of specific graph type,layout techniques and layout evaluation,while seldom concentrating on layout optimization.The paper reviews the recent works on the optimization of the visual and computational efficiency of graphs,and establishes a taxonomy according to the stage when these methods are implemented:pre-layout,in-layout and post-layout.The pre-layout methods focus on graph data compression techniques,which involve graphfiltering and graph aggregation.The in-layout approaches optimize the layout process from computing architecture and algorithms,where deep learning techniques are also included.Visual mapping and interactive layout adjustment are post-layout optimization techniques.Our survey reviews the current research on large graph layout optimization techniques in different stages of the layout design process,and presents possible research challenges and opportunities in the future.展开更多
基金funded by the Shandong Provincial Natural Science Foundation,China(ZR2022QH147,ZR2022QH165)the Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine(No.ZYYCXTD-D-202005).
文摘Huangqin tea(HQT),derived from the aerial parts of various Scutellaria species,in particular S.baicalensis Georgi,has a long history of traditional use in China.Its significance has grown in recent years due to its potential anti-aging,colon cancer chemopreventive,and cardiovascular protective properties.Huangqin tea source plants have identified over 295 chemical constituents,including flavonoids,essential oils,phenolic acids,sterols,diterpenes,polysaccharides,and amino acids.Pharmacological research has underscored the diverse beneficial effects of Huangqin tea and flavonoid extracts.These effects encompass anti-inflammatory,antiviral,anti-bacterial,antipyretic,and analgesic properties,along with neuroprotective effects and protection against cardiovascular and cerebrovascular diseases.Safety studies indicate that HQT is generally safe within recommended dosages and historical use.HQT presents multifaceted potential health benefits,though comprehensive research is necessary to ensure its effectiveness and safety in human applications.
基金The work was jointly supported by the National Natural Science Foundations of China under grant No. 61472302,61272280,41271447, and 61272195The Program for New Century Excellent Talents in University under grant No. NCET-12-0919+2 种基金 The Fundamental Research Funds for the Central Universities under grant No.K5051203020,K5051303016,K5051303018, BDY081422, and K50513100006 Natural Science Foundation of Shaanxi Province, under grant No.2014JM8310The Creative Project of the Science and Technology State of xi’an under grant No. CXY1341(6).
文摘The rapid development of online social network has attracted a lot of research attention. On online social network, people can discuss their ideas, express their interests and opinions, all of which are demonstrated by information propagation. So how to model the information propagation cascade accurately has become a hot topic. In this paper, we firstly incorporate the retweet probability into the traditional propagation models. To find the accurate retweet probability, we introduce the logistic regression model for every user based on the extracted features. With the crawled real dataset, simulation is conducted on the real online social network and moreover some novel results have been obtained. The homogenous retweet probability in the original model has underestimated the speed of information propagation, despite the scale of information propagation is almost at the same level. Besides, the initial information poster is really important for a certain propagation, which enables us to make effective strategies to prevent epidemics of rumor on social network.
基金supported by National Natural Science Foundation of China(No.61872432).
文摘Graph layout can help users explore graph data intuitively.However,when handling large graph data volumes,the high time complexity of the layout algorithm and the overlap of visual elements usually lead to a significant decrease in analysis efficiency and user experience.Increasing computing speed and improving visual quality of large graph layouts are two key approaches to solving these problems.Previous surveys are mainly conducted from the aspects of specific graph type,layout techniques and layout evaluation,while seldom concentrating on layout optimization.The paper reviews the recent works on the optimization of the visual and computational efficiency of graphs,and establishes a taxonomy according to the stage when these methods are implemented:pre-layout,in-layout and post-layout.The pre-layout methods focus on graph data compression techniques,which involve graphfiltering and graph aggregation.The in-layout approaches optimize the layout process from computing architecture and algorithms,where deep learning techniques are also included.Visual mapping and interactive layout adjustment are post-layout optimization techniques.Our survey reviews the current research on large graph layout optimization techniques in different stages of the layout design process,and presents possible research challenges and opportunities in the future.
