ENECeN - Effect of dietary supplement cannabinoids on the enteric nervous system
Next to the brain, the intestine contains the largest number of neurons - the so-called enteric nervous system. The project is investigating the extent to which cannabinoids affect this nervous system.
In the brain, CB2 receptors control inflammatory processes. Thes
ENECeN - Effect of dietary supplement cannabinoids on the enteric nervous system
Next to the brain, the intestine contains the largest number of neurons - the so-called enteric nervous system. The project is investigating the extent to which cannabinoids affect this nervous system.
In the brain, CB2 receptors control inflammatory processes. Thes
Digital projects and offers
Campus Adventure Interactive digital meeting point on campus The Campus Adventure is a 2D metaverse in the style of an MMORPG game from the previous century and was developed by students during the coronavirus pandemic to give students, prospective students and guests a bit of that ‘campus feeling’ again and to meet
Digital services and tools for the University of Apllied Science Kaiserslautern
BigBlueButton Digitale Unterrichtsräume und Videokonferenzen https://bbb.rlp.net/ Campusboard Information portal all about studying https://campusboard.hs-kl.de/ Gitlab Platform for version management of project data https://gitlab.rlp.net/ ICMS Portal Exam reg
Projects and Innovative Educational Concepts
OPENEDU-RLP Tutorials for simulation tools for subject area power electronics, electrical machines and drive technology Multiversuchshardware Modular Multiversuchshardware for power electronics (ongoing)
funded by SQL PE-DPP Power Electronics Development and Prototyping Project (completed)
Research Associates
Benjamin Zacher, M. Eng. Contact:
Campus Kaiserslautern, Building F, Room F1.038 Phone: +49 631 3724-2242 E-Mail: benjamin.zacher(at)hs-kl.de
Profile Andreas Bauer, M. Eng. Contact:
Campus Kaiserslautern, Building F, Room F1.038 Phone: +49 631 3724-2432 E-Mail: andreas.bauer(at)hs-kl.de
Profile Simon Holzman
Evaluation of the application potential of non-destructive measurement methods for the characterisation of cyclic deformation behaviour in high-frequency fatigue tests
The weight-optimised component design and the resulting estimation of the fatigue life of metallic materials require a comprehensive understanding of the fatigue processes and the s
