منابع مشابه
Unlocking the Mysteries of the Bounding Box
Few geospatial data representations are more basic than the bounding box; a rectangle surrounding a geographic feature or dataset. Bounding boxes are a key component of geospatial metadata and lie at the heart of many computational geometry algorithms as well as spatial indexing systems. Despite their ubiquity and common use, bounding boxes are more complicated than they first appear. The phras...
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With a growing body of literature linking systems of high-performance work practices to organizational performance outcomes, recent research has pushed for examinations of the underlying mechanisms that enable this connection. In this study, based on a large sample of Welsh public-sector employees, we explored the role of several individual-level attitudinal factors--job satisfaction, organizat...
متن کاملDo Managers’ Human Values Influence Shareholder Value? – Unlocking the Marekting ‘black Box’
The present study seeks to explore the association between managers' human values and shareholder value by examining the potential mediation effect of the marketing 'Black Box' – the until now uninvestigated interrelationships among strategic orientation, market orientation and marketing performance. The authors argue that managers' human values, which have been ignored in recent marketing lite...
متن کاملUnlocking the “black box” of practice improvement strategies to implement surgical safety checklists: a process evaluation
BACKGROUND Compliance with surgical safety checklists (SSCs) has been associated with improvements in clinical processes such as antibiotic use, correct site marking, and overall safety processes. Yet, proper execution has been difficult to achieve. OBJECTIVES The objective of this study was to undertake a process evaluation of four knowledge translation (KT) strategies used to implement the ...
متن کاملKnowledge Extraction from the Neural ‘Black Box’ in Ecological Monitoring
Phytoplankton biomass within the Saginaw Bay ecosystem (Lake Huron, Michigan, USA) was characterized as a function of select physical/chemical indicators. The complexity and variability of ecological systems typically make it difficult to model the influences of anthropogenic stressors and/or natural disturbances. Here, Artificial Neural Networks (ANNs) were developed to model chlorophyll a con...
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ژورنال
عنوان ژورنال: XRDS: Crossroads, The ACM Magazine for Students
سال: 2020
ISSN: 1528-4972,1528-4980
DOI: 10.1145/3398396