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Feilitzsch

Showing results (21-30 of 38) with videos related to

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Diabetes Care|June 14, 2016
Neuronal Food Reward Activity in Patients With Type 2 Diabetes With Improved Glycemic Control After Bariatric SurgerySabine Frank, Jaana M Heinze, Andreas Fritsche, et al.
Obesity Surgery|June 18, 2024
Adherence to Dietary Behavior Recommendations Moderates the Effect Between Time Since Metabolic and Bariatric Surgery and Percentage Total Weight LossAlexander Bäuerle, Matthias Marsall, Marco Niedergethmann, et al.
The Journal of Physical Chemistry. B|January 1, 2008
Chromophore/DNA interactions: femto- to nanosecond spectroscopy, NMR structure, and electron transfer theoryTill von Feilitzsch, Jennifer Tuma, Heike Neubauer, et al.
Journal of Gastrointestinal Surgery : Official Journal of the Society for Surgery of the Alimentary Tract|March 9, 2011
Immunonutrition with long-chain fatty acids prevents activation of macrophages in the gut wallFriederike Eisner, Petra Jacob, Julia-Stefanie Frick, et al.
The Review of Scientific Instruments|June 3, 2010
Optical scattering lengths in large liquid-scintillator neutrino detectorsM Wurm, F von Feilitzsch, M Göger-Neff, et al.
Physical Review Letters|July 23, 2016
Limits on Momentum-Dependent Asymmetric Dark Matter with CRESST-IIG Angloher, A Bento, C Bucci, et al.
The European Physical Journal. C, Particles and Fields|November 12, 2019
Geant4-based electromagnetic background model for the CRESST dark matter experimentA H Abdelhameed, G Angloher, P Bauer, et al.
Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine|January 25, 2023
Secular equilibrium assessment in a CaWO<sub>4</sub> target crystal from the dark matter experiment CRESST using Bayesian likelihood normalisationG Angloher, S Banik, G Benato, et al.
Computing and Software for Big Science|November 14, 2024
Optimal Operation of Cryogenic Calorimeters Through Deep Reinforcement LearningG Angloher, S Banik, G Benato, et al.
European Physical Journal Plus|February 6, 2023
Towards an automated data cleaning with deep learning in CRESSTG Angloher, S Banik, D Bartolot, et al.
Pageof 4

Showing results (21-30 of 38) with videos related to

Sort By:
Pageof 4
Diabetes Care|June 14, 2016
Neuronal Food Reward Activity in Patients With Type 2 Diabetes With Improved Glycemic Control After Bariatric SurgerySabine Frank, Jaana M Heinze, Andreas Fritsche, et al.
Obesity Surgery|June 18, 2024
Adherence to Dietary Behavior Recommendations Moderates the Effect Between Time Since Metabolic and Bariatric Surgery and Percentage Total Weight LossAlexander Bäuerle, Matthias Marsall, Marco Niedergethmann, et al.
The Journal of Physical Chemistry. B|January 1, 2008
Chromophore/DNA interactions: femto- to nanosecond spectroscopy, NMR structure, and electron transfer theoryTill von Feilitzsch, Jennifer Tuma, Heike Neubauer, et al.
Journal of Gastrointestinal Surgery : Official Journal of the Society for Surgery of the Alimentary Tract|March 9, 2011
Immunonutrition with long-chain fatty acids prevents activation of macrophages in the gut wallFriederike Eisner, Petra Jacob, Julia-Stefanie Frick, et al.
The Review of Scientific Instruments|June 3, 2010
Optical scattering lengths in large liquid-scintillator neutrino detectorsM Wurm, F von Feilitzsch, M Göger-Neff, et al.
Physical Review Letters|July 23, 2016
Limits on Momentum-Dependent Asymmetric Dark Matter with CRESST-IIG Angloher, A Bento, C Bucci, et al.
The European Physical Journal. C, Particles and Fields|November 12, 2019
Geant4-based electromagnetic background model for the CRESST dark matter experimentA H Abdelhameed, G Angloher, P Bauer, et al.
Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine|January 25, 2023
Secular equilibrium assessment in a CaWO<sub>4</sub> target crystal from the dark matter experiment CRESST using Bayesian likelihood normalisationG Angloher, S Banik, G Benato, et al.
Computing and Software for Big Science|November 14, 2024
Optimal Operation of Cryogenic Calorimeters Through Deep Reinforcement LearningG Angloher, S Banik, G Benato, et al.
European Physical Journal Plus|February 6, 2023
Towards an automated data cleaning with deep learning in CRESSTG Angloher, S Banik, D Bartolot, et al.
Pageof 4