Results 301 to 310 of about 65,512 (329)
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2011
What is the secret of a fast-responding network? The ideal network will anticipate the communication needs of all nodes, building the necessary paths proactively. Unfortunately, this level of intelligence is not possible today. A brute-force approach, whereby the network continuously maintains all possible paths among all nodes, is also not a viable ...
Liotta, Antonio, Exarchakos, George
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What is the secret of a fast-responding network? The ideal network will anticipate the communication needs of all nodes, building the necessary paths proactively. Unfortunately, this level of intelligence is not possible today. A brute-force approach, whereby the network continuously maintains all possible paths among all nodes, is also not a viable ...
Liotta, Antonio, Exarchakos, George
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Pharmacoepidemiology and Drug Safety, 2001
AbstractGrowth in health information systems presents opportunities to enhance postmarketing safety surveillance of medical products. Spontaneous suspected side effect reports provide the foundation, but we need to ‘proactively’ improve their quality and our strategies to seek signals.
E A, Bortnichak +3 more
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AbstractGrowth in health information systems presents opportunities to enhance postmarketing safety surveillance of medical products. Spontaneous suspected side effect reports provide the foundation, but we need to ‘proactively’ improve their quality and our strategies to seek signals.
E A, Bortnichak +3 more
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Artificial Intelligence in Medicine, 2001
In an analysis departing from the global health situation, the foundation for a change of paradigm in health informatics based on socially embedded information infrastructures and technologies is identified and discussed. It is shown how an increasing computing and data transmitting capacity can be employed for proactive health computing.
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In an analysis departing from the global health situation, the foundation for a change of paradigm in health informatics based on socially embedded information infrastructures and technologies is identified and discussed. It is shown how an increasing computing and data transmitting capacity can be employed for proactive health computing.
openaire +2 more sources
Nursing Older People, 2004
This month marks the 60th anniversary of the D-Day landings and, through media coverage, we will be able to learn more about the experiences of those who participated in this remarkable event in history. Many young men were killed. Others, such as Fred Bentley and Bob Osborne (shown on page 4 ) returned home having lost their sight or limbs.
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This month marks the 60th anniversary of the D-Day landings and, through media coverage, we will be able to learn more about the experiences of those who participated in this remarkable event in history. Many young men were killed. Others, such as Fred Bentley and Bob Osborne (shown on page 4 ) returned home having lost their sight or limbs.
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Proactive Behavior Management Developing Personal Proactiveness
2012People behave in different ways. Some are oriented to change, transcend their instructions, undertake initiatives, and search for new ways of taking action. Others, resigned and complacent, tie themselves to routine and passively wait for others to make changes happen. Proactive people belong to the first group.
Leonardo Araújo, Rogério Gava
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2014
The aim of this chapter is to provide a theoretically based and proven educational design for learning from experience in the context of a work. This chapter includes some of the theoretical considerations as well as the final educational design for Proactive Reviews, as exemplified in a case study from a worldclass IT company based in more than 60 ...
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The aim of this chapter is to provide a theoretically based and proven educational design for learning from experience in the context of a work. This chapter includes some of the theoretical considerations as well as the final educational design for Proactive Reviews, as exemplified in a case study from a worldclass IT company based in more than 60 ...
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This chapter explores how predictive analytics is transforming public administration from reactive to proactive, citizen-centered governance. It examines how governments can use historical, real-time, and multi-source data—such as demographic, health, infrastructure, and social media information—to anticipate societal needs and intervene early. Drawing
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