background and purpose: fungal keratitis is a suppurative, ulcerative, and sight-threatening infection of the cornea that sometimes leads to blindness. the aims of this study were: recuperating facilities for laboratory diagnosis, determining the causative microorganisms, and comparing conventional laboratory diagnostic tools and semi-nested pcr. materials and methods: sampling was conducted in...

We discuss different aspects of nested bar systems, both observational and theoretical. Such systems consist of a large-scale primary bar leading to the formation of a sub-kpc size secondary bar, whose pattern speed differs substantially from that of the main bar. Specifically, we focus on the origin and gravitational decoupling of nested bars, and their characteristic gas flows on scales of ∼ ...

Complex event processing (CEP) over event streams has become increasingly important for real-time applications ranging from health care, supply chain management to business intelligence. These monitoring applications submit complex event queries to track sequences of events that match a given pattern. As these systems mature the need for increasingly complex nested sequence query support arises...

Mention detection is the first module used in coreference resolution systems. Due to that, it is important that the results obtained by this module are as high as possible. Within the field of mention detection, nested mentions are the most difficult ones to detect. In this paper, we present a nested mention detection system based on expansion, a new model for detecting nested elements in NLP b...

Nested relational query languages have been explored extensively, and underlie industrial language-integrated query systems such as Microsoft’s LINQ. However, relational databases do not natively support nested collections in query results. This can lead to major performance problems: if programmers write queries that yield nested results, then such systems typically either fail or generate a l...

Systems designed for efficient retrieval of conventional data can be very inefficient at retrieving documents. Documents have more complex structure than conventional data, and the kinds of queries made to document databases are unlike those made to conventional databases. This paper discusses how document storage and retrieval can be effectively supported in a nested relational database system...

Empirical factor demand analysis typically involves making a choice from among several competing non-nested functional forms. Each of the commonly used factor demand systems, such as Translog, Generalized Leontief, Quadratic, and Generalized McFadden, can provide a valid and useful empirical description of the underlying production structure of the firm. As there is no theoretical guidance on s...