To further enhance the accuracy of lot output time prediction in a wafer fab (fabrication plant), a hybrid artificial neural network is proposed in this study. At first, the concept of input classification is applied to Chen’s fuzzy back propagation network (FBPN) by pre-classifying input examples with the self-organization map (SOM) classifier before they are fed into the FBPN. Then, examples ...

In order to minimize the loss of disasters on urban earthquake damage prediction research is of great significance. This paper, establishment of a data management system based on ArcGIS +Visual Studio. NET platform is an important work of the project, design and development of Langfang City earthquake damage prediction system. Firstly, the overall system framework, then introduce the system to ...

OBJECTIVES In a previous study, we have described the predictive value of first-trimester Pregnancy-Associated Plasma Protein-A (PAPP-A), free β-subunit of human Chorionic Gonadotropin (fβ-hCG), Placental Growth Factor (PlGF) and A Disintegrin And Metalloprotease 12 (ADAM12) for early onset preeclampsia (EO-PE; delivery <34 weeks). The objective of the current study was to obtain the predictive...

Radon ((222)Rn) gas is produced in the radioactive decay chain of uranium ((238)U) which is an element that is naturally present in soils. Radon is transported mainly by diffusion and convection mechanisms through the soil depending mainly on the physical and meteorological parameters of the soil and can enter and accumulate in buildings. Health risks originating from indoor radon concentration...

Traffic-related air pollution is a serious problem with significant health impacts in both urban and suburban environments. Despite an increased realization of the negative impacts of air pollution, assessing individuals’ exposure to traffic-related air pollution remains a challenge. Obtaining high resolution estimates are difficult due to the spatial and temporal variability of emissions, the ...

In this paper, we focus on protein contact map prediction, one of the most important intermediate steps of the protein folding problem. The objective of this research is to know how short-range interactions can contribute to a system based on decision trees to learn about the correlation among the covalent structures of a protein residues. We propose a solution to predict protein contact maps t...

BACKGROUND AND PURPOSE Information has been sparse on the comparison of pulse pressure (PP) and mean arterial pressure (MAP) in relation to ischemic stroke among patients with uncontrolled hypertension. The present study examined the relation among PP, MAP, and ischemic stroke in uncontrolled hypertensive subjects in China. METHODS A total of 6104 uncontrolled hypertensive subjects aged > or ...

OBJECTIVES To identify the best protocol for measurement of mean arterial pressure (MAP) in early pregnancy for the prediction of preeclampsia (PE). METHODS This was a prospective study in singleton pregnancies attending for a routine hospital visit at 11-13 weeks' gestation when a minimum of four recordings of MAP were taken from each arm. The performance of screening for PE by different com...

Maximum-a-Posteriori (MAP) inference lies at the heart of Graphical Models and Structured Prediction. Despite the intractability of exact MAP inference, approximate methods based on LP relaxations have exhibited superior performance across a wide range of applications. Yet for problems involving large output domains (i.e., the state space for each variable is large), standard LP relaxations can...