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Dienstag 9. Dezember 2025: Die Lesesäle der Deutschen Nationalbibliothek in Leipzig öffnen wegen einer Personalversammlung erst ab 13 Uhr. // Tuesday 9 December 2025: The reading rooms of the German National Library in Leipzig will open at 13:00 due to a staff assembly.

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331 - 340 von 381

	331	Proton nuclear magnetic resonance and pattern recognition analysis of liver extracts from rats under different anesthetics Enthalten in BMC medical imaging Bd. 12, 16.8.2012, Nr. 1, date:12.2012: 1-10
	332	PRRDB: A comprehensive database of Pattern-Recognition Receptors and their ligands Enthalten in BMC genomics Bd. 9, 18.4.2008, Nr. 1, date:12.2008: 1-6
	333	PtLGBP, a Pattern Recognition Receptor in Portunus Trituberculatus Involved in the Immune Response Against Different Challenges Enthalten in Acta biologica Hungarica Bd. 65, 30.12.2014, Nr. 3, date:9.2014: 294-304
	334	Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments Enthalten in BMC bioinformatics Bd. 6, 25.4.2005, Nr. 1, date:12.2005: 1-17
	335	Α Quantum Pattern Recognition Method for Improving Pairwise Sequence Alignment Enthalten in Scientific reports Bd. 9, 10.5.2019, Nr. 1, date:12.2019: 1-11
	336	Quantum pattern recognition on real quantum processing units Enthalten in Quantum machine intelligence Bd. 5, 4.4.2023, Nr. 1, date:6.2023: 1-17
	337	Real-space imaging with pattern recognition of a ligand-protected Ag374 nanocluster at sub-molecular resolution Enthalten in Nature Communications Bd. 9, 27.7.2018, Nr. 1, date:12.2018: 1-8
	338	Recognition of the dense fine speckled (DFS) pattern remains challenging: results from an international internet-based survey Enthalten in Autoimmunity highlights Bd. 7, 9.7.2016, Nr. 1, date:12.2016: 1-7
	339	Recognizing intertwined patterns using a network of spiking pattern recognition platforms Enthalten in Scientific reports Bd. 12, 14.11.2022, Nr. 1, date:12.2022: 1-17
	340	Relaxometric learning: a pattern recognition method for T 2 relaxation curves based on machine learning supported by an analytical framework Enthalten in BMC chemistry Bd. 15, 20.2.2021, Nr. 1, date:12.2021: 1-8

331 - 340 von 381

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