نتایج جستجو برای: missing atom types

تعداد نتایج: 595342  

Multivariate time series data are found in a variety of fields such as bioinformatics, biology, genetics, astronomy, geography and finance. Many time series datasets contain missing data. Multivariate time series missing data imputation is a challenging topic and needs to be carefully considered before learning or predicting time series. Frequent researches have been done on the use of diffe...

2013
Anup Dewanji P. G. Sankaran Debasis Sengupta

In competing risks data, missing failure types (causes) is a very common phenomenon. In a general missing pattern, if a failure type is not observed, one observes a set of possible types containing the true type along with the failure time. Dewanji and Sengupta (2003) considered nonparametric estimation of the cause-specific hazard rates and suggested a Nelson-Aalen type estimator under such ge...

2002
Juha Javanainen

Recent Feshbach-resonance experiments with Rb Bose-Einstein condensates have led to a host of unexplained results: dramatic losses of condensate atoms for an across-resonance sweep of the magnetic field, a collapsing condensate with a burst of atoms emanating from the remnant condensate, increased losses for decreasing interaction times—until very short times are reached, and coherent oscillati...

2007
Olivier François Philippe Leray

We introduce a new method based on Bayesian Network formalism for automatically generating incomplete datasets. This method can either be configured randomly to generate various datasets with respect to a global percentage of missing data or manually in order to handle many parameters. [1] proposed three types of missing data : MCAR (missing completly at random), MAR (missing at random) and NMA...

Journal: :journal of sciences, islamic republic of iran 2013
m. sahrai b. arzhang h. seifoory p. navaeipour

the time evaluation of quantum entropy in a four-level double- type atomic system is theoretically investigated. quantum entanglement of the atom and its spontaneous emission fields is then discussed via quantum entropy. it is found that the degree of entanglement can be increased by the quantum interference induced by spontaneous emission. the phase dependence of the atom-field entanglement is...

2011
Peter Steneteg Valeriu Chirita Natalia Dubrovinskaia Leonid Dubrovinsky Igor Abrikosov Igor A. Abrikosov

Journal: :iranian journal of public health 0
mr baneshi reserch center for modeling in health, kerman university of medical sciences, kerman, iran h faramarzi shiraz hiv/aids research center, shiraz university of medical sciences, shiraz m marzban research center for traditional medicine and history of medicine, shiraz university of medical scien

background: diagnostic models are frequently used to assess the role of risk factors on disease complications, and therefore to avoid them. missing data is an issue that challenges the model making. the aim of this study was to develop a diagnostic model to predict death in hiv/ aids patients when missing data exist. methods: hiv patients (n=1460) referred to voluntary consoling and testing cen...

2003
S. K. Ghose I. K. Robinson R. S. Averback

Surface x-ray diffraction measurements have been made to study defect formation at the atomic level in the near surface region of Si(111)737 surface during low energy ~200 eV! Ar ion bombardment. We have observed the two characteristics of the defects: missing atoms at different layers in the surface region as well as outward strain. We provide calculations that demonstrate how crystal truncati...

Journal: :iranian journal of science and technology (sciences) 2011
m. m. golshan

in this work we investigate the thermal entanglement between two-level atoms and photons in a nonlinear cavity. we consider intensity-dependent couplings and calculate the negativity, as a measure of atom-photonentanglement. the cavity is assumed to be at a temperature t, so that all number of photons, and at the same time, both atomic states, with definite probabilities, are present. we then d...

Journal: :Journal of biomedical informatics 2015
Shah Atiqur Rahman Yuxiao Huang Jan Claassen Nathaniel Heintzman Samantha Kleinberg

Most clinical and biomedical data contain missing values. A patient's record may be split across multiple institutions, devices may fail, and sensors may not be worn at all times. While these missing values are often ignored, this can lead to bias and error when the data are mined. Further, the data are not simply missing at random. Instead the measurement of a variable such as blood glucose ma...

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