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22811 - 22820 von 23133

	22811	Unfolding dermatologic spectrum of Behçet’s disease in Italy: real-life data from the International AIDA Network Behçet’s disease Registry Enthalten in Internal and emergency medicine Bd. 18, 6.10.2023, Nr. 8, date:11.2023: 2245-2252
	22812	Unified performance measures in network localization Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on advances in signal processing Bd. 2018, 18.7.2018, Nr. 1, date:12.2018: 1-17
	22813	Unifying community detection and network embedding in attributed networks Enthalten in Knowledge and information systems Bd. 63, 17.3.2021, Nr. 5, date:5.2021: 1221-1239
	22814	Unifying supervised learning and VAEs: coverage, systematics and goodness-of-fit in normalizing-flow based neural network models for astro-particle reconstructions Enthalten in The European physical journal / C / Particles and fields Bd. 84, 16.2.2024, Nr. 2, date:2.2024: 1-30
	22815	Unique longitudinal relationships between depressive symptoms and cognitive emotion regulation strategies in Chinese adolescents: a cross-lagged panel network analysis Enthalten in Current psychology Bd. 43, 26.11.2024, Nr. 46, date:12.2024: 35364-35376
	22816	Universal association between depressive symptoms and social-network structures in the workplace Enthalten in Scientific reports Bd. 12, 17.6.2022, Nr. 1, date:12.2022: 1-13
	22817	Universal partitioning of the hierarchical fold network of 50-residue segments in proteins Enthalten in BMC structural biology Bd. 9, 20.5.2009, Nr. 1, date:12.2009: 1-13
	22818	Universal Transient Dynamics in Oscillatory Network Models of Epileptic Seizures Enthalten in Regular and chaotic dynamics Bd. 29, 11.3.2024, Nr. 1, date:1.2024: 190-204
	22819	Unleashing deep neural network full potential for solar radiation forecasting in a new geographic location with historical data scarcity: a transfer learning approach Enthalten in The European physical journal / Plus Bd. 137, 17.4.2022, Nr. 4, date:4.2022: 1-16
	22820	Unlocking the Full Potential of Deep Learning in Traffic Forecasting Through Road Network Representations: A Critical Review Enthalten in Data science for transportation Bd. 5, 16.11.2023, Nr. 3, date:12.2023: 1-21

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