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For a next step, the scale structure of the Strat-I-Com 2015 questionnaire suggests that observable variables, such as centrality, can be automatically measured and provided as a bottom-up feedback to the MMORPG players.
Furthermore, as success in playing the game largely relies on building and developing players' communities, technology may (1) enable OKC development by mediating perceptions, communication and social interactions in the MMORPG environment, and (2) monitor and analyze the OKC development, and provide players with bottom-up feedback.
Studies of mind-body practices suggest numerous mechanisms of action at multiple levels, including gene expression at the cellular level; interactions among central brain regions with neuroplastic changes; and top-down and bottom-up feedback loops between the brain and the body, particularly via the nervous system, interoceptive communication, and circulating neurohormones [ 7– 10].
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Because the task to compute the 16PF traits' scores from the AU activity map is a pattern recognition task and the architecture employed is bottom-up with no feedback loops, we use FFNNs which have been proven effective for pattern recognition [61].
However, the Roundtable on Healthcare and Emergency Service Sector Pandemic Preparedness, reported that top-down is essential in emergencies management, but that a bottom-up method of feedback is also needed to allow adaptation to varying circumstances [ 5].
Our data and those of others who found evidence of MMN subcortically (reviewed in [19]) indicate that MMN may be generated by processes that include both bottom-up processing and corticothalamic feedback loops.
She used a bottom-up approach and identified feedback as a theme, which she categorised as being positive or critical/negative.
Further on, the role of technology is both to enable specific processes, and to monitor the entity with bottom-up data that can prompt feedback to the same processes.
Incorporation of technological detail into a top-down framework or macroeconomic feedback into a bottom-up framework.
This leads to temporal model dynamics depending on bottom-up feedforward signal and top-down feedback signal.
Our method combines a bottom-up data driven approach with top-down feedback provided by high level semantic representations.
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