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Search Results: 1 - 10 of 127013 matches for " Yunchuan Li "
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Outlier Detection Based on Robust Mahalanobis Distance and Its Application  [PDF]
Xu Li, Songren Deng, Lifang Li, Yunchuan Jiang
Open Journal of Statistics (OJS) , 2019, DOI: 10.4236/ojs.2019.91002
Abstract: Classical Mahalanobis distance is used as a method of detecting outliers, and is affected by outliers. Some robust Mahalanobis distance is proposed via the fast MCD estimator. However, the bias of the MCD estimator increases significantly as the dimension increases. In this paper, we propose the improved Mahalanobis distance based on a more robust Rocke estimator under high-dimensional data. The results of numerical simulation and empirical analysis show that our proposed method can better detect the outliers in the data than the above two methods when there are outliers in the data and the dimensions of data are very high.
On the Variation of NDVI with the Principal Climatic Elements in the Tibetan Plateau
Jian Sun,Genwei Cheng,Weipeng Li,Yukun Sha,Yunchuan Yang
Remote Sensing , 2013, DOI: 10.3390/rs5041894
Abstract: Temperature and precipitation have been separately reported to be the main factors affecting the Normalized Difference Vegetation Index (NDVI) in the Tibetan Plateau. The effects of the main climatic factors on the yearly maximum NDVI (MNDVI) in the Tibetan Plateau were examined on different scales. The result underscored the observation that both precipitation and temperature affect MNDVI based on weather stations or physico-geographical regions. Precipitation is the main climatic factor that affects the vegetation cover in the entire Tibetan Plateau. Both annual mean precipitation and annual mean precipitation of the growing period are related with MNDVI, and the positive correlations are manifested in a linear manner. By comparison, the weakly correlated current between MNDVI and all the temperature indexes is observed in the study area.
Eosinophilic Angiocentric Fibrosis of the Nasal Septum
Yunchuan Li,Honggang Liu,Demin Han,Hongrui Zang
Case Reports in Otolaryngology , 2013, DOI: 10.1155/2013/267285
Kazhdan-Lusztig basis for generic Specht modules
Yunchuan Yin
Mathematics , 2010,
Abstract: In this paper, we let $\Hecke$ be the Hecke algebra associated with a finite Coxeter group $W$ and with one-parameter, over the ring of scalars $\Alg=\mathbb{Z}(q, q^{-1})$. With an elementary method, we introduce a cellular basis of $\Hecke$ indexed by the sets $E_J (J\subseteq S)$ and obtain a general theory of "Specht modules". We provide an algorithm for $W\!$-graphs for the "generic Specht module", which associates with the Kazhdan and Lusztig cell ( or more generally, a union of cells of $W$ ) containing the longest element of a parabolic subgroup $W_J$ for appropriate $J\subseteq S$. As an example of applications, we show a construction of $W\!$-graphs for the Hecke algebra of type $A$.
W-graphs for Hecke algebras with unequal parameters(II)
Yunchuan Yin
Mathematics , 2015,
Abstract: This paper is the continuation of the work in~\cite{Yin}. In that paper we generalized the definition of $W$-graph ideal in the weighted Coxeter groups, and showed how to construct a $W$-graph from a given $W$-graph ideal in the case of unequal parameters. In this paper we study the full $W$-graphs for a given $W$-graph ideal. We show that there exist a pair of dual modules associated with a given $W$-graph ideal, they are connected by a duality map. % and the dual $W$-graph bases can be established. For each of the dual modules, the associated full $W$-graphs can be constructed.% among them, another pair of dual bases are obtained by using %the inversions of the relative Kazhdan-Lusztig polynomials. Our construction closely parallels that of Kazhdan and Lusztig~\cite{KL, Lusztig1, Lusztig2}, which can be regarded as the special case $J=\emptyset$. It also generalizes the work of Couillens~\cite{C}, Deodhar~\cite{Deodhar, Deodhar2}, and Douglass \cite{MD}, corresponding to the parabolic cases.
Negative Pressure Wound Therapy Decreases Mortality in a Murine Model of Burn-Wound Sepsis Involving Pseudomonas aeruginosa Infection
Yang Liu, Qin Zhou, Yunchuan Wang, Zhengcai Liu, Maolong Dong, Yaojun Wang, Xiao Li, Dahai Hu
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0090494
Abstract: Background The colonization of burn wounds by Pseudomonas aeruginosa can lead to septic shock, organ injuries, and high mortality rates. We hypothesized that negative pressure wound therapy (NPWT) would decrease invasion and proliferation of P. aeruginosa within the burn wound and reduce mortality. Methods Thermal injuries were induced in anesthetized mice, and P. aeruginosa was applied to the wound surface for 24 h. After removing the burn eschar and debridement, the animals were subjected to either NPWT or wet-to-dry (WTD) treatment protocols. The bacterial loads on the wound surface were assessed during 7 d of treatment, as were the concentrations of inflammatory cytokines in the peripheral blood samples. Survival was monitored daily for 14 d after burn induction. Finally, samples of wounded skin, lung, liver, and kidney were collected and subjected to histopathological examination. Results Applying P. aeruginosa to the burn wound surface led to sepsis. During early stages of treatment, NPWT reduced the mortality of the septic animals and levels of P. aeruginosa within the burn wound compared with WTD-treated animals. Circulating levels of cytokines and cytoarchitectural abnormalities were also significantly reduced via NPWT. Conclusions Our data indicate that NPWT inhibits the invasion and proliferation of P. aeruginosa in burn-wounded tissue and decreases early mortality in a murine model of burn-wound sepsis. These therapeutic benefits likely result from the ability of NPWT to decrease bacterial proliferation on the wound surface, reduce cytokine serum concentrations, and prevent damage to internal organs.
Eosinophilic Angiocentric Fibrosis of the Nasal Septum
Yunchuan Li,Honggang Liu,Demin Han,Hongrui Zang,Tong Wang,Bin Hu
Case Reports in Otolaryngology , 2013, DOI: 10.1155/2013/267285
Abstract: Background. Eosinophilic angiocentric fibrosis (EAF) is a rare benign condition of unknown aetiology that causes stenosis of the upper respiratory tract. It is most commonly found at the nasal septum and sinus mucosa causing mucosal thickening and nasal obstructive symptoms. The diagnosis is mainly based on characteristic histologic findings. Case Report. A 27-year-old young woman presented with a slow growing mass at her anterior nasal septum for over eight years. She complained of persistent nasal obstruction, epistaxis, sometimes diffused facial pain, and chronic headache. 3 years ago, the tumor was partially resected for ventilation and a nasal septum perforation was left. Imaging findings indicated soft-tissue thickening of the anterior part of septum and adjacent lateral nasal walls. Pathological examination showed numerous inflammatory cells infiltrates containing eosinophils, fibroinflammatory lesion with a whorled appearance fibrosis which typically surrounded vessels. A diagnosis of eosinophilic angiocentric fibrosis was made. All laboratory tests were unremarkable. Skin prick test was positive. The tumor-like lesion was totally resected. Conclusions. EAF is a rare benign and progressive disorder causing destruction. Combined with radiological imaging of EAF historical findings contribute to the diagnosis. It is important to prevent tumor from recurrence by total resection of the lesion. 1. Introduction Eosinophilic angiocentric fibrosis (EAF) is a rare, benign condition of unknown aetiology which may cause local tissue progressive destruction [1]. It mainly involves the sinonasal tract and is especially common at the nasal septum. EAF typically presents in young to middle-aged females. Most of the patients complain of progressive sinonasal obstructive with a tumor-like lesion. The etiology of EAF is unknown, and the diagnosis is mainly based on histologic findings. The histologic features include perivascular inflammatory cell infiltration (mainly eosinophils). The eosinophils infiltration is gradually replaced by the progressive fibrosis lesion with “onion-skin” pattern around small blood vessels [1–6]. It was first described by Holmes and Panje in 1983 who reported a case of so-called ‘‘intranasal granuloma faciale” [7]. After two years, Roberts and McCann reported two female patients with an unusual stenosing lesion involving the upper respiratory. They gave a descriptive diagnosis according to the histologic findings: eosinophilic angiocentric fibrosis [8]. Until now, 51 patients diagnosed with EAF have been reported in the English
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path
Xu Yan,Lili Mou,Ge Li,Yunchuan Chen,Hao Peng,Zhi Jin
Computer Science , 2015,
Abstract: Relation classification is an important research arena in the field of natural language processing (NLP). In this paper, we present SDP-LSTM, a novel neural network to classify the relation of two entities in a sentence. Our neural architecture leverages the shortest dependency path (SDP) between two entities; multichannel recurrent neural networks, with long short term memory (LSTM) units, pick up heterogeneous information along the SDP. Our proposed model has several distinct features: (1) The shortest dependency paths retain most relevant information (to relation classification), while eliminating irrelevant words in the sentence. (2) The multichannel LSTM networks allow effective information integration from heterogeneous sources over the dependency paths. (3) A customized dropout strategy regularizes the neural network to alleviate overfitting. We test our model on the SemEval 2010 relation classification task, and achieve an $F_1$-score of 83.7\%, higher than competing methods in the literature.
A Comparative Study on Regularization Strategies for Embedding-based Neural Networks
Hao Peng,Lili Mou,Ge Li,Yunchuan Chen,Yangyang Lu,Zhi Jin
Computer Science , 2015,
Abstract: This paper aims to compare different regularization strategies to address a common phenomenon, severe overfitting, in embedding-based neural networks for NLP. We chose two widely studied neural models and tasks as our testbed. We tried several frequently applied or newly proposed regularization strategies, including penalizing weights (embeddings excluded), penalizing embeddings, re-embedding words, and dropout. We also emphasized on incremental hyperparameter tuning, and combining different regularizations. The results provide a picture on tuning hyperparameters for neural NLP models.
Distribution Grid Fault Location Applying Transient Zero-mode Current
Hongsheng Su,Yunchuan Zhang
TELKOMNIKA : Indonesian Journal of Electrical Engineering , 2012, DOI: 10.11591/telkomnika.v10i5.1289
Abstract: To aim at the puzzles on faults location in distribution grids, the paper analyzed the distributing characteristics of transient zero-mode currents as the faults occurred, with the aid of correlation theory, a new fault circuit-selection and fault-location method was proposed based on transient zero model current for power distribution grid faults. The method is based on such a fact that the RMS was maximum of fault line transient zero-mode current, and the inner products between it and other line transient zero-mode current were less than zero, in addition, the transient zero-model currents at two sides of the fault point possessed opposite polarity and diverse waveform, and as well as small correlation coefficient closer to zero. In the end, the simulation results show that the proposed method on circuit-selection and fault-location for power distribution grids fault based on transient zero- mode current is correct and effective, and not affected by voltage epoch angle, and grounding resistance, and as well as neutral-point grounding modes.
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