MACHINE LEARNING AND ITS APPLICATION IN SEISMOLOGY

Machine learning and its application in seismology

It is an inherently challenging scientific endeavor to understand and predict multi-scale, high-dimensional and nonlinear seismological phenomena.The increasing amount of observational big data breaks the linkage between data collection and interpretation, hp 15-ef1005ds and increases the obscurity and uncertainty in data analysis.However, there is

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Community-based actions in consulates: a new paradigm for opportunities for systematic integration in Chagas disease detection

Abstract Research has shown that multidimensional approaches to Chagas disease (CD), integrating its biomedical and psycho-socio-cultural components, are successful in enhancing early access to diagnosis, treatment and sustainable follow-up.For the first time, a consulate was selected for a community-based CD detection campaign.Two different strate

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Inter-Brain Synchrony Pattern Investigation on Triadic Board Game Play-Based Social Interaction: An fNIRS Study

Recent advances in functional neuroimaging techniques, including methodologies such as fNIRS, have enabled the evaluation of inter-brain synchrony (IBS) induced by interpersonal interactions.However, the social interactions assumed in existing dyadic hyperscanning studies do not sufficiently emulate polyadic social interactions in the real world.Th

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