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, simulated robot data and real-world Internet data. The real robot data requires many robots and human tele-operation to collect, remaining limited in scale and diversity to learn various robot skills
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considering the spatially resolved transcriptomic profile, we will thus be able to create and simulate dynamic models, which - also incorporating epigenetics (exposome) - will act as prediction support through
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to explore the human brain, researches based on different neuro-imaging modalities are crucial to shed light on the variety of human brains, as well as understanding the complex link between anatomical and
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efficiency, safety, and reliability. They include Supervisory Control and Data Acquisition (SCADA) systems, a type of ICS that collects data from sensors remotely and provides a human-machine interface for
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and technological environment including comprehensive experimental core facilities (eg, neuroimaging, genetics, cellular), several animal models (eg, from nematodes to humans) and powerful centralized
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(pp. 15-21). Othman, E., Werner, P., Saxen, F., Al-Hamadi, A., Gruss, S., & Walter, S. (2021). Automatic vs. human recognition of pain intensity from facial expression on the X-ITE pain database
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in a shift of the recent developments toward considering peptides for targeting PPIs. One recent example is the Spike of SARS-CoV-2 that binds to the human ACE2 receptor, for which the use of peptides