Cyld inhibits tumor cell proliferation by blocking Bcl-3-dependent NF-κB signaling (2006)
Massoumi, R., Chmielarska, K., Hennecke, K., Pfeifer, A., Fässler, R.
Zarza, E., Valenzuela, L., Leon, J., Hennecke, K., Eck, M., ...
Verfahren und Anlage zur solarthermischen Kaelteerzeugung (2003)
Noeres, P., Hoelder, D., Hennecke, K.
WO2003048658 A UPAB: 20030719 NOVELTY - The method involves evaporating a coolant for a compressor by connecting a solar collector and condensing the coolant vapor after compression by the compressor...
Solar Process Heat with Concentrating Collectors (2002)
Hennecke, K., Christmann, C., Hoffschmidt, B., Krüger, D., Pitz-Paal, R.
Zarza, E., Valenzuela, L., Leon, J., Hennecke, K., Eck, M., ...
Development of Ceramic Volumetric Receiver Technology (2001)
Hoffschmidt, B., Fernandez, F., Hennecke, K., Romero, M., Stobbe, P., Tellez, F.
Zarza, E., Valenzuela, L., León, J., Eck, M., Hennecke, K., ...
Solar Thermal Technology for Power Plants and Process Heat (2000)
Becker, M., Buck, R., Geyer, M., Hennecke, K., Hoffschmidt, B., Köhne, R., ...
Results from Parabolic Trough Systems for Process Heat at the DLR Cologne (2000)
Krüger, D., Hoffschmidt, B., Hennecke, K., Pitz-Paal, R., Rietbrock, P., Fend, T.
Task III: Solar Technology and Advanced Applications. (1997)
Becker, M. (Operating Agent), Böhmer, M., Blanco, M. (1), Williams, T. (2), Hennecke, K.
Conceptual design of a SEGS-like plant with integral DSG (1996)
Percz, J., Ajona, J.I., Hennecke, K., Lippke, F., Svoboda, P., Dagan, E., ...
Direkte Dampferzeugung in Parabolrinnen-Solarkraftwerken (1996)
Goebel, O., Geskes, P., Geyer, M., Hennecke, K., Herrmann, U.
Solar Technology and Advanced Applications (TaskIII) (1996)
Becker, M., Boehmer, M., Hennecke, K., Sanchez, M.(1), Williams, T.(1).
Task mIII, Solar Technology and Advanced Applications. (1995)
Becker, M., Böhmer, M., Hennecke, K., Sanches, M. (1), Williams, T.
Artificial neural network for risk assessment in preterm neonates
Zernikow, B, Holtmannspoetter, K, Michel, E, Pielemeier, W, Hornschuh, F, Westermann, A, ...
AIM—To predict the individual neonatal mortality risk of preterm infants using an artificial neural network "trained" on admission data. METHODS—A total of 890 preterm neonates (
Hartmann, J, Hussein, A, Trowitzsch, E, Becker, J, Hennecke, K
BACKGROUND—Thrombosis is a relatively rare event in children. However, many conditions in the neonatal period result in an increased risk of thrombus formation. The major risk factor is the...