abstract background: this study sought to determine patient characteristics, process of care, and outcome as predictors of reintubation after open-heart surgery. methods: we performed a retrospective case control study that included all patients undergoing cardiac surgery who required reintubation and an equal number of control patients not requiring reintubation. putative risk factors were ana...

awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. therefore, the present study two hybrid models, wavelet- adaptive neural fuzzy interference system (wanfis) and wavelet- artificial neural network (wann) are used for flow prediction of gamasyab river (nahavand, hamedan, iran...

normal 0 false false false en-us x-none ar-sa microsoftinternetexplorer4 background : according to beck theory, dysfunctional attitude has a central role in emergence of depression. the aim of this study was to determine contributions of dysfunctional attitude and general health index to depression. methods : in this case-control study, two groups of subjects participated. the first group consi...

a model describing the main processes occurring in the uasb reactor was developed; in orderto maintain simplicity and applicability of the model, only the fundamental aspects were considered. in themodel, the reactor is divided in several well-stirred reactors coupled in series and it comprises substratedegradation, biomass growth and the reactions that take place within the granules. the impor...

Many real-world analytics problems involve two significant challenges: prediction and optimization. Due to the typically complex nature of each challenge, the standard paradigm is to predict, then optimize. By and large, machine learning tools are intended to minimize prediction error and do not account for how the predictions will be used in a downstream optimization problem. In contrast, we p...

abstract introduction: psychological theories and literature have confirmed self-destructiveness patterns in human beings. chronic self-destructiveness has been defined as a tendency to behaviors that increase negative consequences and decrease potential success in the future. the aim of this study was to investigate prediction of chronic self-destructiveness based on the depression symptoms, i...

, 227a (2002); 295 Science et al. Pieter R. Roelfsema, Do Neurons Predict the Future? www.sciencemag.org (this information is current as of April 14, 2008 ): The following resources related to this article are available online at http://www.sciencemag.org/cgi/content/full/295/5553/227a version of this article at: including high-resolution figures, can be found in the online Updated information ...

87 Tracking common search terms used on the Web can produce accurate, useful statistics about the unemployment rate. We hope to extend this approach to other economic statistics. T his study investigates the potential of using data about Web searches to predict an important macroeconomic statistic, specifically the number of unemployed workers in the U.S. Our underlying assumption is that peopl...

Modern approaches to political measurement have generally ignored the importance of out-of-sample predictive performance. This is problematic for two reasons: first, many of the abstractions scholars attempt to proxy for are themselves expectations; and second, the resulting measures are prone to overfitting. We advocate a data-driven approach to measurement based on the train-validate-test par...

Recent work has shown that search query volume correlates well with a variety of phenomena, from influenza caseloads to economic indicators like real-estate prices, auto sales, and travel statistics. In this paper, we investigate the degree to which search behavior predicts the commercial success of cultural products, namely movies, video games, and songs. In contrast with previous work that ha...