In many everyday situations, we bias our perception from the top down, based on a task or an agenda. Frequently, this entails shifting attention to a specific attribute of a particular object or scene. To explore the cost of shifting top-down attention to a different stimulus attribute, we adopt the task-set switching paradigm, in which switch trials are contrasted with repeat trials in mixed-t...

One of the differences between relational and object-oriented databases (OODB) is attributes in OODB can be of a collection type (e.g. sets, lists, arrays, bags) as well as a simple type (e.g. integer, string). Consequently, explicit join queries in OODB may be based on collection attributes. One form of collection join queries in OODB is sub-collection join queries, where the joins are based o...

The Kernel Tool Kit (KTK) is an object-based operating system kernel and parallel programming library that ooers explicit support for on-and oo-line program conngu-ration. Speciically, KTK allows the speciication of attributes for object classes, object instances, state variables, operations and object invocations. Attributes are interpreted by policy classes that may be varied separately from ...

Agency theory has long been a stalwart of IS research and is one of the most commonly used lenses to study the relationship between a principal and an agent. The Theory of Relationship Constraints (TRC) has recently been recommended as an informationoriented alternative to agency theory. TRC suggests that three attributes (i.e., the level of information asymmetry, levels of tacit and explicit k...

BACKGROUND The existing appropriateness measures for prescribing used in the United States and the United Kingdom use clinical attributes. Treatment and care from a patient's perspective need to be evaluated in terms of whether they are more likely to lead to an outcome of a life worth living, in social, psychological, and physical terms. However, it is unclear whether patients specifically eva...

We introduce a method for improving facial attribute predictions using other attributes. In the domain of face recognition and verification, attributes are high-level descriptions of face images. Attributes are very useful for identification as well as image search as they provide easily understandable descriptions of faces, rather than most other image descriptors (i.e. HOG, LBP, and SIFT). A ...

This paper focuses on improving face recognition performance with a new signature combining implicit facial features with explicit soft facial attributes. This signature has two components: the existing patch-based features and the soft facial attributes. A deep convolutional neural network adapted from state-of-the-art networks is used to learn the soft facial attributes. Then, a signature mat...

The quality attributes of a software system are, to a large extent, determined by the decisions taken early in the development process. Best practices in software engineering recommend the identification of important quality attributes during the requirements elicitation process, and the specification of software architectures to satisfy these requirements. Over the years the software engineeri...

Ecological restoration is widely practiced as a means of rehabilitating ecosystems and habitats that have been degraded or impaired through human use or other causes. Restoration practices now are confronted by climate change, which has the potential to influence long-term restoration outcomes. Concepts and attributes from the resilience literature can help improve restoration and monitoring ef...