291 research outputs found
Yang men nü jiang. (2)
No full text王晶华, 楊秋玲.Live recording.Electronic reproduction from Rulan Chao Pian Audio Cassette Collection.Performers: 王晶华, 楊秋玲.Performance on 1979/6/7.Sung in Chinese.Wang Jinghua, Yang Qiuling.Performers: Wang Jinghua, Yang Qiuling
Notes on Halpe paupera Devyatkin, 2002 (Lepidoptera: Hesperiidae)
No full textXue, Guoxi, Zeng, Tingting, Lo, Yik Fui Philip, Wang, Qiuling, Li, Meng, Yang, Jinchu (2024): Notes on Halpe paupera Devyatkin, 2002 (Lepidoptera: Hesperiidae). Zootaxa 5399 (3): 287-295, DOI: 10.11646/zootaxa.5399.3.8, URL: http://dx.doi.org/10.11646/zootaxa.5399.3.
Yang men nü jiang
No full text王晶華, 楊秋玲.Live recording."1979/6/7"--Side 1 label.Electronic reproduction from Rulan Chao Pian Audio Cassette Collection.Performers: 王晶華, 楊秋玲.Sung in Chinese.Wang Jinghua, Yang Qiuling.Performers: Wang Jinghua, Yang Qiuling
GSLDA: Supervised topic model with graph regularization
No full textIn this work, we study the problem of regularizing supervised topic model using graph structure. Supervised topic model generates each document independently, whereas in many applications there are links among documents, which are quite useful for refining topics. To overcome this limit of supervised topic model, we propose a regularization framework using graph structure. By leveraging both textual content and link structure, the output of the proposed model can promote effect of topic extraction and social network analysis simultaneously. Experiment results on two real datasets demonstrate the effectiveness of the proposed approach. ? 2014 IEEE.EICPCI-S(ISTP)
FIGURE 2 in Molecular data and morphological characters clarify the taxonomic status of Pintara heringi pieridoides (Liu & Gu, 1994) (Hesperiidae, Pyrginae)
No full textFIGURE 2. Adults of Pintara heringi (Mell, 1922). A. ssp. pieridoides from Hainan (Specimen ID B44, Genitalia No. DLS6). B. ssp. heringi from southern Jiangxi (Specimen ID B63, Genitalia No. JX119). C. ssp. heringi from northern Guangdong (Specimen ID B50). Scale bar = 1 cm.Published as part of <i>Li, Meng, Lu, Ke, Cui, Ying, Liu, Haiwei, Yang, Jinchu, Xue, Guoxi & Wang, Qiuling, 2024, Molecular data and morphological characters clarify the taxonomic status of Pintara heringi pieridoides (Liu & Gu, 1994) (Hesperiidae, Pyrginae), pp. 145-150 in Zootaxa 5419 (1)</i> on page 148, DOI: 10.11646/zootaxa.5419.1.8, <a href="http://zenodo.org/record/10782058">http://zenodo.org/record/10782058</a>
Learning connectivity and higher-order interactions in radial distribution grids
No full textTo perform any meaningful optimization task, distribution grid operators need to know the topology of their grids. Although power grid topology identification and verification has been recently studied, discovering instantaneous interplay among subsets of buses, also known as higher-order interactions in recent literature, has not yet been addressed. The system operator can benefit from having this knowledge when re-configuring the grid in real time, to minimize power losses, balance loads, alleviate faults, or for scheduled maintenance. Establishing a connection between the celebrated exact distribution flow equations and the so-called self-driven graph Volterra model, this paper puts forth a nonlinear topology identification algorithm, that is able to reveal both the edge connections as well as their higher-order interactions. Preliminary numerical tests using real data on a 47-bus distribution grid showcase the merits of the proposed scheme relative to existing alternatives.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Signal Processing System
Quantification of the food-water-energy nexus in urban green and blue infrastructure: A synthesis of the literature
No full textGreen and blue infrastructure (GBI) is an innovative strategy to tackle food-water-energy (FWE) nexus issues. GBI can provide the benefits of food production, energy saving and generation, waterlogging control, rainwater cleansing and harvesting. Significant efforts have been devoted to measuring the implications of GBI on FWE nexus. However, there is little research to simulate the multiple linkages between GBI and FWE nexus in urban areas, and the lack of a unified methodology framework also easily leads to an understanding bias of their connections and makes it challenging to compare the results. Focusing on the prior published literature, this study clarifies the interactions between GBI and FWE nexus and reviews the methods to quantify the implications of GBI on FWE nexus in cities, including FWE-related benefits, life cycle environmental impacts, and avoided upstream environmental footprints induced by FWE-related benefits. It is revealed that most studies focus on the FWE-related benefits or (and) life cycle environmental impacts of GBI from a silo perspective. Researchers pay little attention to the avoided trans-boundary environmental footprints by GBI, and carbon footprint is the greatest concern in the existing research. There is little evidence on comprehensive quantifications regarding multiple impacts of GBI on FWE nexus at the urban scale. The review outlines methods to simulate the linkages between GBI and FWE nexus and calls for a holistic methodological framework to apply at the urban scale. Such assessment practices would make sense for FWE-oriented resilience planning and governance for urban GBI implementation
Influence Maximizing and Local Influenced Community Detection Based on Multiple Spread Model
No full textIn independent cascade model, an active node has only one chance to activate its neighbors, while in reality an active node has many chances to activate its neighbors. We propose an influence diffusion model called multiple spread model, in which an active node has many activation chances. We prove that influence maximizing problem with the proposed model is submodular and monotone, which means greedy algorithm provides (1-1/e) approximation to optimal solution. However, computation time costs much due to Monte Carlo simulation in greedy algorithm. We propose a two-phase method which leverages community information to find seeds. In order to evaluate influence of a particular node, we also propose a definition of local influenced community as well as an algorithm called LICD to detect local influenced community. Experiments show that the proposed model and algorithms are both efficient and effective in problems of influence maximizing and local influenced community detection.Computer Science, Artificial IntelligenceComputer Science, Information SystemsEICPCI-S(ISTP)
Autoregressive graph Volterra models and applications
No full textAbstract Graph-based learning and estimation are fundamental problems in various applications involving power, social, and brain networks, to name a few. While learning pair-wise interactions in network data is a well-studied problem, discovering higher-order interactions among subsets of nodes is still not yet fully explored. To this end, encompassing and leveraging (non)linear structural equation models as well as vector autoregressions, this paper proposes autoregressive graph Volterra models (AGVMs) that can capture not only the connectivity between nodes but also higher-order interactions presented in the networked data. The proposed overarching model inherits the identifiability and expressibility of the Volterra series. Furthermore, two tailored algorithms based on the proposed AGVM are put forth for topology identification and link prediction in distribution grids and social networks, respectively. Real-data experiments on different real-world collaboration networks highlight the impact of higher-order interactions in our approach, yielding discernible differences relative to existing methods
ChemInform Abstract: Transition‐Metal‐Free Regioselective Synthesis of Alkylboronates from Arylacetylenes and Vinyl Arenes.
No full text- …
