A prospective survey of activity in neonatal nurseries associated with 17 specialist maternity units delivering some 38,700 babies in the Northern region was undertaken during 1991. Data were collected concerning the numbers of babies requiring various forms of neonatal care, using a nursing dependency scale validated by work study. Facilities for prolonged high dependency care are partially de...

Data Auditor is a system for analyzing data quality via exploring data semantics. Given a user-supplied constraint, such as a functional dependency or an inclusion dependency, the system computes pattern tableaux, which are concise summaries of subsets of the data that satisfy (or fail) the constraint. The engine of Data Auditor is an efficient algorithm for finding these patterns, which defers...

For determination of the activity of this enzyme (EC 4.2.1.24) in blood, pH dependency was evaluated by using whole blood and washed erythrocytes. The effects of assay methods, original and final pH, and use of sodium or potassium phosphate buffer were examined. The pattern of pH dependency differed for whole blood and washed erythrocytes, whether blood from normal or lead-exposed subjects was ...

Feature selection is an important preprocessing step in pattern analysis and machine learning. The key issue in feature selection is to evaluate quality of candidate features. In this work, we introduce a weighted distance learning algorithm for feature selection via maximizing fuzzy dependency. We maximize fuzzy dependency between features and decision by distance learning and then evaluate th...

1 New traffic models are called for to facilitate the design of effective admission and flow control algorithms, and network performance evaluation in accommodating video traffic. We propose a new approach, sequentially modulated self-similar processes (SMSSPs), to model MPEG coded video traffic. SMSSPs are shown to be able to capture both short range dependency (SRD) and long range dependency ...

We propose a novel dependency-based reordering model for hierarchical SMT that predicts the translation order of two types of pairs of constituents of the source tree: head-dependent and dependent-dependent. Our model uses the dependency structure of the source sentence to capture the mediumand long-distance reorderings between these pairs of constituents. We describe our reordering model in de...

Many grammatical dependencies in natural language involve elements that are not adjacent, such as between the subject and verb in ”the dog always barks”. We recently showed that non-adjacent dependencies are easily learnable without pauses in the signal when speech is presented rapidly. In this study, we used an online measure to look at the relationship between online parsing and the learning ...

Sensitivity to dependencies (correspondences between distant items) in sensory stimuli plays a crucial role in human music and language. Here, we show that squirrel monkeys (Saimiri sciureus) can detect abstract, non-adjacent dependencies in auditory stimuli. Monkeys discriminated between tone sequences containing a dependency and those lacking it, and generalized to previously unheard pitch cl...

Unrestricted text analysis requires an accurate syntactic analysis but structural ambiguity is one of the most difficult problems to resolve. Researchers have tried different approaches to obtain the correct syntactic structure from analyzed sentences but not successful results have been obtained. Two different approaches have traditionally applied to syntactic analysis: constituent grammars an...