In 2019, the HSKL decided to test an alternative procedure for internal accreditation. The process in the advisory board model is characterized by continuous discussion of teaching in the degree program, accompanied by an external advisory board. The topics of accreditation are discussed, as are current developments in the field that have an i
AGENS
The Enteric Nervous System Research Group (AGENS) headed by Prof. KH Schäfer (HS KL) has been working for years on the characterization of the ENS in the context of development, changes in disease patterns, or the use of the enteric neural stem cells contained in it.1,2 First indications of an influence of local inflammation on these neural
A central focus of the group is the role of the ENS in neurodegenerative diseases. Here, i.e. it could be shown that the ENS also affects the intestinal nervous system in a disease that tends to affect cognitive abilities, such as Alzheimer's disease. In an animal model, changes in the ENS were observed long before changes in the CNS5. This also
1 Isolation of high-purity myenteric plexus from adult human and mouse gastrointestinal tract. Grundmann D, Klotz M, Rabe H, Glanemann M, Schäfer KH.Sci Rep. 2015 Mar 20;5:9226. doi: 10.1038/srep09226. 2 Demir IE, Schäfer KH, Tieftrunk E, Friess H, Ceyhan GO. Neural plasticity in the gastrointestinal tract: chronic inflammation, neurotrophic sig
AGENS
The Enteric Nervous System Research Group (AGENS) headed by Prof. KH Schäfer (HS KL) has been working for years on the characterization of the ENS in the context of development, changes in disease patterns, or the use of the enteric neural stem cells contained in it.1,2 First indications of an influence of local inflammation on these neural
AI-SeRvo - AI-assisted servo control feedforward
In the AI-SerVo project, the potential of machine learning methods to improve feedforward control in cascaded control structures of electric servo drives is being investigated.
The aim is to compensate for individual, drive-specific disturbances—such as friction, torque ripple, or manufacturing to
AI-SeRvo - AI-assisted servo control feedforward
In the AI-SerVo project, the potential of machine learning methods to improve feedforward control in cascaded control structures of electric servo drives is being investigated.
The aim is to compensate for individual, drive-specific disturbances—such as friction, torque ripple, or manufacturing to
Bachelor KOI-Studiengänge EI, ES, ET, MB, MT, WI Anerkennung der Praktischen Studienphase Name: ................................................................ Vorname: ............................................................................ Matr.-Nr.: ............................................................. Geb.-Datum: ................
