228 research outputs found
Automatic video genre categorization and event detection techniques on large-scale sports data
No full textThis paper presents an efficient and robust automatic process for large-scale sports video analysis. The proposed system firstly identifies the genre of the query video, and then accomplishes the interesting event detection task. The significance of this framework is its automatic characteristic in testing with minimum human involvement in training, as well as the scalability and expansibility in dealing with a large-scale dataset. Domain-knowledge independent local features are extracted from an input video sequence and a histogram based distribution representation is created using the bag-of-visual-words (BoW) model. In genre categorization, k-nearest neighbor (k-NN) classifiers with various dissimilarity measures are assessed and evaluated analytically. For the event detection, a hidden conditional random field (HCRF) structured prediction model is utilized. Overall, this framework demonstrates the efficiency and accuracy in processing voluminous data from sports collection and achieves various tasks in video analysis. It also demonstrates a potential technology transformation from the 'laboratory bench' to commercial applications. ? 2010 Ning Zhang, Ling-Yu Duan, Qing-ming Huang, Lingfang Li, Wen Gao and Ling Guan.EI
Money Talks? An Experimental Study of Rebate in Reputation System Design
No full textReputation systems that rely on feedback from traders are important institutions for helping sustain trust in markets, while feedback information is usually considered a public good. We apply both theoretical models and experiments to study how raters' feedback behavior responds to different reporting costs and how to improve market efficiency by introducing a pre-commitment device for sellers in reputation systems. In particular, the pre-commitment device we study here allows sellers to provide rebates to cover buyers' reporting costs before buyers make purchasing decisions. Using a buyer-seller trust game with a unilateral feedback scheme, we find that a buyer’s propensity to leave feedback is more sensitive to reporting costs when the seller cooperates than when the seller defects. The seller’s decision on whether to provide a rebate significantly affects the buyer’s decision to leave feedback by compensating for the feedback costs. More importantly, the rebate decision has a significant impact on the buyer's purchasing decision via signaling the seller's cooperative type. The experimental results show that the rebate mechanism improves the market efficiency.reputation, trust, feedback mechanism, asymmetric information, public goods, experimental economics
Neural Networks Approximator Based Robust Adaptive Controller Design of Hypersonic Flight Vehicles Systems Coupled with Stochastic Disturbance and Dynamic Uncertainties
No full textA neural network robust control is proposed for a class of generic hypersonic flight vehicles with uncertain dynamics and stochastic disturbance. Compared with the present schemes of dealing with dynamic uncertainties and stochastic disturbance, the outstanding feature of the proposed scheme is that only one parameter needs to be estimated at each design step, so that the computational burden can be greatly reduced and the designed controller is much simpler. Moreover, by introducing a performance function in controller design, the prespecified transient and performance of tracking error can be guaranteed. It is proved that all signals of closed-loop system are uniformly ultimately bounded. The simulation results are carried out to illustrate effectiveness of the proposed control algorithm.</jats:p
Neural networks approximator based adaptive prescribed performance tracking control for hypersonic flight vehicles systems
No full textEffects of sodium creatine phosphate on myocardial and left ventricular function in patients with slow / no reflow acute ST segment elevation myocardial infarction during percutaneous coronary intervention
No full textObjective: To investigate the effect of sodium creatine phosphate on myocardial and left ventricular function in patients with slow / no reflow acute ST segment elevation myocardial infarction (STEMI) during percutaneous coronary intervention (PCI). Methods: The incidence of major adverse cardiovascular events (heart failure, recurrent myocardial infarction, malignant arrhythmia, cardiac arrest, cardiogenic shock, etc.) Was recorded and compared between the two groups. Results: Conclusion sodium creatine phosphate can reduce myocardial injury, improve heart rate variability and left ventricular function, and reduce the risk of major adverse cardiovascular events in STEMI patients with slow / no reflow during PCI
Research on the fouling prediction of heat exchanger based on Support Vector Machine optimized by Particle Swarm Optimization algorithm
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Correlation Between HIF1-A Expression and Airway Remodeling in COPD
No full textLingfang Tan,1 Xuefeng Yang,2 Jianxin Zhang,3 Kebing Zhou1,2 1The Nanhua Affiliated Hospital, Department of Respiratory Physicians, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, People’s Republic of China; 2The Nanhua Affiliated Hospital, Department of General Medicine, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, People’s Republic of China; 3The Nanhua Affiliated Hospital, Department of Cardiothoracic Surgeon, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, People’s Republic of ChinaCorrespondence: Kebing Zhou, Tel +86-17397392536, Email [email protected]: Airway remodeling is a significant pathological characteristic of chronic obstructive pulmonary disease (COPD). In recent years, hypoxia-inducible factor 1-α (HIF-1α), a member of the hypoxia-inducible factor protein family, has gained attention. However, the potential correlation between HIF-1α and COPD airway remodeling remains unclear.Objective: This study explored the expression patterns of HIF-1α in patients with COPD and its association with airway remodelling. This investigation aims to furnish novel insights for the clinical identification of prospective therapeutic targets for ameliorating COPD-related airway remodelling.Patients and Methods: A total of 88 subjects were included, consisting of 28 controls and 60 COPD patients. Various staining methods were employed to observe the pathological changes in airway tissues. Immunohistochemistry was utilized to detect the expression of HIF-1α and MMP9 (matrix metalloproteinase 9) in airway tissues. Enzyme-linked immunosorbent assay (ELISA) was used to measure the concentration in serum of HIF-1α and MMP9. Computed tomography (CT) airway parameters were measured in all participants to assess airway remodeling. The relationship between serum HIF-1α and MMP9 concentrations and airway parameters was analyzed.Results: Staining of airway structures in COPD patients revealed significant pathological changes associated with airway remodelling, including mixed cilia and subepithelial fibrosis. The expression of HIF-1α and MMP9 was significantly higher in both human airway tissue and serum compared to controls. Chest CT scans exhibited typical imaging features of airway remodeling and increased airway parameters.Conclusion: The findings suggest a correlation between increased HIF-1α expression and COPD airway remodelling. This study provides novel evidence that HIF-1α may be a potential biomarker for airway remodelling in COPD patients.Keywords: hypoxia-inducible factor 1-α, chronic obstructive pulmonary disease, matrix metalloproteinase 9, airway remodellin
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