Your English writing platform
Discover LudwigExact(1)
For this analysis, the BOLD response at each voxel was modeled using (i) data-driven response function generated from the Group ICA; and (ii) conventional (SPM5) model-driven canonical hemodynamic response function.
Similar(59)
If you recognize that a colleague prefers to make decisions using logical, objective analysis, then you can improve your interactions with the person by emphasizing facts and data-driven responses.
That includes the normal staples of CompStat policing, such as data-driven responses to crime spots, including tactical deployment of uniform and undercover officers to conduct proactive policing such as enforcement of traffic and loitering laws.
These case studies highlight the important positive role that big data plays in mass emergencies and humanitarian wellbeing and shed light on the importance of the development of an effective big data-driven crisis response ecosystem.
The EuResist project (IST-2004-027173) atms at integrating clinical and virological data from a large number of patients and training a data-driven therapy response prediction for drug combinations rather than for single drugs.
The construction of extended signalling pathways can be divided into three main steps: (a) the construction of canonical pathways, (b) the identification of new edges between signals and response from data-driven algorithms, and (c) the optimisation of the extended pathway using an Integer Linear Programming (ILP) formulation.
Sensitivity is defined as the fraction of neurons that show positive responses to n stimuli out of a total of N. To determine a positive response, we propose two methods: Fisherian statistical testing and a data-driven Bayesian approach to determine the response probability of a neuron.
Visual orienting cues, task demands and past experiences with repeated stimuli can modulate the effects of data-driven distractor stimuli on behavioral responses [20], [25] [28], as well as eye-movements [23], [29].
When the scale of geospatial data and computation is beyond the capacity of PC-based software and tools due to the limited storage, memory, and computing power, concurrency and parallelism over modern cyberinfrastructure are the future directions and challenges in geocomputation in response to the data-driven geography and geographic information science.
It is advancing by advocating for "data-driven, technology-enhanced early warning and response systems that will allow timely identification of and intervention with children who are veering off the pathways leading to readiness, attendance and summer learning".
Further, when the US participants reacted to data-driven manipulations, it was largely in response to object rather than background manipulations.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com