867 research outputs found
Determining two coefficients in diffuse optical tomography with incomplete and noisy Cauchy data
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Finite element analysis for identifying the reaction coefficient in PDE from boundary observations
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A Regularization Approach for an Inverse Source Problem in Elliptic Systems from Single Cauchy Data
No full textApplying Grey System Theory to predict default probability in construction industry
No full textThe prediction of business failure is an important and challenging issue that has served as the impulsion for many academic studies over the past decades. The widely applied methods to predict the risk of business failure were based on financial ratio analysis; therefore, the purpose of this thesis is to explore the possibility of applying Grey System Theory for predicting default probability of construction firms by analyzing financial history data. In the present research, the author introduces a framework of the bankruptcy probability valuation relying on the 19 initial financial ratios. First, Synthetic Degree Incidences ρ of considered firms are calculated and combine these ρ values, the default probability of firms as well as the importance of financial ratios as predictors will be identified. In this research scope, the author proposes 3 models correspond with difference history consequence data (3 years, 4 years and 5 years). Then, using ROC curves to point out which one is the most favorable consequence data for model (correspond to the highest AUC value). After the suitable consequence data (4 years) was chosen, the other effected factors like as X0, θ and the combo of key variables were considered. Some warnings as well as recommendations are highlighted for those who concern of applying grey analysis model to forecast default probability of construction firms
Correction to: Convergence Analysis of a Crank–Nicolson Galerkin Method for an Inverse Source Problem for Parabolic Equations with Boundary Observations
No full textAN EFFICIENT ALGORITHM FORMINING HIGH UTILITY ASSOCIATION RULES FROM LATTICE
Full text linkIn business, most of companies focus on growing their profits. Besides considering profit from each product, they also focus on the relationship among products in order to support effective decision making, gain more profits and attract their customers, e.g. shelf arrangement, product displays, or product marketing, etc. Some high utility association rules have been proposed, however, they consume much memory and require long time processing. This paper proposes LHAR (Lattice-based for mining High utility Association Rules) algorithm to mine high utility association rules based on a lattice of high utility itemsets. The LHAR algorithm aims to generates high utility association rules during the process of building lattice of high utility itemsets, and thus it needs less memory and runtim
JOP795244_Supplementary_Material – Supplemental material for Clozapine attenuates mitochondrial burdens and abnormal behaviors elicited by phencyclidine in mice via inhibition of p47phox; Possible involvements of phosphoinositide 3-kinase/Akt signaling
No full textSupplemental material, JOP795244_Supplementary_Material for Clozapine attenuates mitochondrial burdens and abnormal behaviors elicited by phencyclidine in mice via inhibition of p47phox; Possible involvements of phosphoinositide 3-kinase/Akt signaling by Hai-Quyen Tran, Se J Park, Eun-Joo Shin, The-Vinh Tran, Naveen Sharma, Yu J Lee, Ji H Jeong, Choon-Gon Jang, Dae-Joong Kim, Toshitaka Nabeshima and Hyoung-Chun Kim in Journal of Psychopharmacology</p
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