This is an attempt to address diffusion phenomena from the point of view of information theory. We imagine a regular hamiltonian system under the random perturbation of thermal (molecular) noise and chaotic instability. The irregularity of the random process produced in this way is taken into account via the dynamic uncertainty measured by a path information associated with different transition...

statement of the problem replacement of missing or lost teeth with dental prostheses supported by dental implants has been accepted and received positive evaluations from patients who have undergone implant treatment. purpose the aim of this study was to evaluate the level of patient knowledge about dental implants among a selected sample of dental patients in tabriz, iran materials and methods...

OBJECTIVE To document the perceived frequency, type, and impact of unavailable ("missing") clinical information during pediatric emergency and general ambulatory encounters. METHODS This prospective cohort set in the Emergency Department and General Ambulatory Pediatric Clinic at The Children's Hospital, Aurora, CO, assessed pediatric attending physician perceptions regarding missing informat...

A probabilistic query may not be estimable from observed data corrupted by missing values if the data are not missing at random (MAR). It is therefore of theoretical interest and practical importance to determine in principle whether a probabilistic query is estimable from missing data or not when the data are not MAR. We present an algorithm that systematically determines whether the joint pro...

A probabilistic query may not be estimable from observed data corrupted by missing values if the data are not missing at random (MAR). It is therefore of theoretical interest and practical importance to determine in principle whether a probabilistic query is estimable from missing data or not when the data are not MAR. We present algorithms that systematically determine whether the joint probab...

The common problem of missing data in databases is being dealt with, in recent years, through estimation methods. Auto-associative neural networks combined with genetic algorithms have proved to be a successful approach to missing data imputation. Similarly, two new auto-associative models are developed to be used along with the Genetic Algorithm to estimate missing data and these approaches ar...

The thesis investigates the reliable transport from one sender to a group of receivers (multicast). It is often stated that network support is required to allow for efficient reliable multicast. This thesis shows that this is not the case. Efficient reliable multicast is possible on a pure end-to-end basis even for a very large number of receivers. In the case of data loss in the network, relia...

Data Cleaning refers to the process of detecting and fixing errors in the data. Human involvement is instrumental at several stages of this process, e.g., to identify and repair errors, to validate computed repairs, etc. There is currently a plethora of data cleaning algorithms addressing a wide range of data errors (e.g., detecting duplicates, violations of integrity constraints, missing value...