Context presents implementation researchers with a problem because attempts to define and describe it have to encompass so much [30]. Starting with the UK Medical Research Council’sEvaluation Framework for Com
Making sense of complexity in context and implementation: the Context and Implementation of Complex Interventions (CICI) framework. Implementation Science 2017;12(21):1-17.Pfadenhauer LM, Gerhardus A, Mozygemba K, et al. (2017) Making sense of complexity in context and implementation: the ...
Implementation complexity refers to the level of difficulty involved in implementing machine learning algorithms in knowledge discovery in networks (KDN) problems. It is determined by factors such as mathematical operations, dataset complexity, data storage, and software and hardware requirements. ...
Implementation of multifaceted interventions typically involves many diverse elements working together in interrelated ways, including intervention components, implementation strategies, and features of local context. Given this real-world complexity, implementation researchers may be interested in a new mathematic...
This document reviews the implementation and operational challenges of a phased rollout of Employee Central and discusses deployment options in the context of operational scenarios which will be encountered typically by larger global implementations.Document | Blog Post | Webinar Employee Central: Recognizing...
Defining Power and Thermal Constraints Defining Physical Constraints Design Implementation Running Synthesis Synthesis Flows Global Synthesis Block Design Synthesis Out-of-Context Synthesis Incremental Synthesis Synthesis Optimizations Synthesis Settings Synthesis Attributes KEEP and DONT_TOUCH MAX...
1. Prediction tasks: before students finish reading or listening to the whole context, let them predict the content of the text according to the title, the segments of the text or the pictures 2. Jumbles tasks: teachers can upset the paragraphs and the order of the pictures and then let ...
ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time[codes] Abstract: Modern deep learning architectures produce highly accurate results on many challenging semantic segmentation datasets. State-of-the-art methods are, however, not directly transferable to real-time applications...
A number of participants stated that context and the actions which address it, need to be explicit in the process model: “I don’t see how the issue of context is highlighted; it may be implicit, but in my view since implementation is a function of the intervention by context interaction...
‘Knowing-how’ involves knowing which methods or processes to use in a particular context, along with skills in those methods and processes, such as building a model to describe the problem, or processes for engaging decision-makers in discussing research results. Of course, we acknowledge that...