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Dynamic Inversion Method for Concrete Gravity Dam on Soft Rock Foundation
Published 2025-04-01Get full text
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Advanced Deep Learning and Machine Learning Techniques for MRI Brain Tumor Analysis: A Review
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Experimental Identification of Milling Process Damping and Its Application in Stability Lobe Diagrams
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Protection against lethal HAdV-4 challenge in STAT1 mice by novel human monoclonal antibodies
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Personalized azithromycin treatment rules for children with watery diarrhea using machine learning
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Deep learning quantifies pathologists’ visual patterns for whole slide image diagnosis
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Current Efficacy of Multiepitope Vaccines Against Helminths: A Systematic Review
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A highly annotated drug combination resource for catalyzing precision combinatorial therapy
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Artificial intelligence in urban science: why does it matter?
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Links between self-monitoring data collected through smartphones and smartwatches and the individual disease trajectories of adult patients with depressive disorders: Study protoco...
Published 2025-06-01“…We will apply multilevel correlations, vector-autoregressive models, and Machine Learning approaches to identify individual patterns in the data, particularly in the relationships between biosensor data and self-reported depressive symptoms.Enhancing the understanding of individual disease trajectories through data from smartphones and smartwatches could allow for classical, digital, and self-management interventions for depression to be delivered in a manner and at a time specifically tailored to the individual's needs.Clinical trial registration number: DRKS00032618 (https://drks.de/search/en/trial/DRKS00032618)…”
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