Johannes Schäfer

ORCID: 0000-0002-5226-4206
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About
Contact & Profiles
Research Areas
  • Medical and Health Sciences Research
  • Biomedical and Chemical Research
  • Peripheral Artery Disease Management
  • Medical Practices and Rehabilitation
  • Hate Speech and Cyberbullying Detection
  • German Literature and Culture Studies
  • Hematological disorders and diagnostics
  • Vasculitis and related conditions
  • Cardiac pacing and defibrillation studies
  • Eosinophilic Esophagitis
  • Medical Imaging and Pathology Studies
  • Renal Diseases and Glomerulopathies
  • Health and Medical Studies
  • Renal function and acid-base balance
  • Pleural and Pulmonary Diseases
  • Natural Language Processing Techniques
  • Cerebrovascular and Carotid Artery Diseases
  • Cardiac Valve Diseases and Treatments
  • Metastasis and carcinoma case studies
  • Cardiomyopathy and Myosin Studies
  • Cardiac Arrhythmias and Treatments
  • linguistics and terminology studies
  • Atrial Fibrillation Management and Outcomes
  • Digital Innovation in Industries
  • Cardiac Structural Anomalies and Repair

University of Stuttgart
1997-2024

University of Hildesheim
2018-2023

Volkswagen Group (United States)
2023

Fraunhofer Institute for Transportation and Infrastructure Systems
2023

Volkswagen Group (Germany)
2021

Fraunhofer Institute for Manufacturing Engineering and Automation
2015

User Interface Design (Germany)
2010-2013

Audi (Germany)
2010

This study is the first to measure relationship between gas pressure, internal temperature and state of charge cylindrical Li-ion battery cells. For this purpose, a new, simple affordable setup for in-situ investigation pressure commercial cells designed tested. Setups investigate have so far only been performed on pouch prismatic or require complex expensive measurement equipment. In work, mechanical effects an increasing in are addressed time. It shown that over multiple charging...

10.1016/j.est.2022.106444 article EN cc-by Journal of Energy Storage 2022-12-24

With the growth of social media, spread hate speech is also increasing rapidly. Social media are widely used in many countries. Also Hate Speech spreading these This brings a need for multilingual detection algorithms. Much research this area dedicated to English at moment. The HASOC track intends provide platform develop and optimize algorithms Hindi, German English. dataset collected from Twitter archive pre-classified by machine learning system. has two sub-task all three languages: task...

10.48550/arxiv.2108.05927 preprint EN cc-by arXiv (Cornell University) 2021-01-01

In recent years an increasing number of analyses offensive language has been published, however, dealing mainly with the automatic detection and classification isolated instances.In this paper we aim to understand impact messages in online conversations diachronically, particular change offensiveness dialogue turns.In turn, measure progression offence level as well its direction -For example, whether a conversation is escalating or declining offence.We present our method extracting linear...

10.26615/978-954-452-056-4_125 article EN 2019-10-22

We present the overall user experience designed for supporting rehabilitation of stroke patients at home.Patients use a robotic hand (orthosis) to control therapeutic games and touch screen UI.They are supervised remotely by therapist who uses similar interface from their desk.The system includes interfaces (UIs) both therapists.The concept design these UIs were implemented during first year SCRIPT project

10.1515/bmt-2013-4242 article EN Biomedical Engineering / Biomedizinische Technik 2013-01-07

Demographics and cultural background of annotators influence the labels they assign in text annotation -- for instance, an elderly woman might find it offensive to read a message addressed "bro", but male teenager appropriate. It is therefore important acknowledge label variations not under-represent members society. Two research directions developed out this observation context using large language models (LLM) data annotations, namely (1) studying biases inherent knowledge LLMs (2)...

10.48550/arxiv.2410.08820 preprint EN arXiv (Cornell University) 2024-10-11

Abstract In this study, a measurement setup was developed to determine the frictional properties between tissue-mimicking and implant materials. Nitinol Polytetrafluoroethylene (PTFE) were selected as materials, while Polyvinyl alcohol (PVA) hydrogel silicone chosen substrates compared porcine aortic tissue. The results showed considerably lower friction coefficient nitinol all PTFE. PVA than in contact but still higher Moreover, parameters such concentration aging through storage influenced...

10.1515/cdbme-2024-2087 article EN cc-by-nc-nd Current Directions in Biomedical Engineering 2024-12-01

Zur Ätiologie der schwangerschaftsinduzierten Hypertension (SIH) wird derzeit zunehmend eine Veränderung Prostazyklin/Thromboxan-Ratio, mit einem Thromboxanübergewicht, diskutiert. Mit Hilfe Videokapillarmikroskopie können an den Kapillaren des Fingernagelfalzes die möglicherweise hieraus resultierenden Veränderungen Mikrozirkulation sichtbar gemacht werden. Die Untersuchungsmethode arbeitet einer speziellen Auflichtmikroskopie bei 560fachen Endvergrößerung. Gemessen...

10.1055/s-2007-1023760 article DE Geburtshilfe und Frauenheilkunde 1992-06-01
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