TY  - JOUR
A1  - Janus, Kevin Alexander
A1  - Achtsnicht, Stefan
A1  - Drinic, Aleksander
A1  - Kopp, Alexander
A1  - Keusgen, Michael
A1  - Schöning, Michael Josef
T1  - Transient magnesium-based thin-film temperature sensor on a flexible, bioabsorbable substrate for future medical applications
JF  - Applied Research
N2  - In this work, the bioabsorbable materials, namely fibroin, polylactide acid (PLA), magnesium and magnesium oxide are investigated for their application as transient, resistive temperature detectors (RTD). For this purpose, a thin-film magnesium-based meander-like electrode is deposited onto a flexible, bioabsorbable substrate (fibroin or PLA) and encapsulated (passivated) by additional magnesium oxide layers on top and below the magnesium-based electrode. The morphology of different layered RTDs is analyzed by scanning electron microscopy. The sensor performance and lifetime of the RTD is characterized both under ambient atmospheric conditions between 30°C and 43°C, and wet tissue-like conditions with a constant temperature regime of 37°C. The latter triggers the degradation process of the magnesium-based layers. The 3-layers RTDs on a PLA substrate could achieve a lifetime of 8.5 h. These sensors also show the best sensor performance under ambient atmospheric conditions with a mean sensitivity of 0.48 Ω/°C ± 0.01 Ω/°C.
KW  - Silk fibroin
KW  - Polylactide  acid
KW  - Bioabsorbable
KW  - Resistive  temperature detector
Y1  - 2023
U6  - http://dx.doi.org/10.1002/appl.202300102
SN  - 2702-4288 (Print)
N1  - Corresponding author: Michael Josef Schöning
IS  - Accepted manuscript
PB  - Wiley-VCH
ER  - 
TY  - JOUR
A1  - Karschuck, Tobias
A1  - Schmidt, Stefan
A1  - Achtsnicht, Stefan
A1  - Poghossian, Arshak
A1  - Wagner, Patrick
A1  - Schöning, Michael Josef
T1  - Multiplexing system for automated characterization of a capacitive field-effect sensor array
JF  - Physica Status Solidi A
N2  - In comparison to single-analyte devices, multiplexed systems for a multianalyte detection offer a reduced assay time and sample volume, low cost, and high throughput. Herein, a multiplexing platform for an automated quasi-simultaneous characterization of multiple (up to 16) capacitive field-effect sensors by the capacitive–voltage (C–V) and the constant-capacitance (ConCap) mode is presented. The sensors are mounted in a newly designed multicell arrangement with one common reference electrode and are electrically connected to the impedance analyzer via the base station. A Python script for the automated characterization of the sensors executes the user-defined measurement protocol. The developed multiplexing system is tested for pH measurements and the label-free detection of ligand-stabilized, charged gold nanoparticles.
KW  - Capacitive field-effect sensor
KW  - Gold nanoparticles
KW  - Label-free detection
KW  - Multicell
KW  - Multiplexing
Y1  - 2023
U6  - http://dx.doi.org/10.1002/pssa.202300265
SN  - 1862-6300 (Print)
SN  - 1862-6319 (Online)
N1  - Corresponding author: Michael Josef Schöning
VL  - 220
IS  - 22
PB  - Wiley-VCH
CY  - Weinheim
ER  - 
TY  - JOUR
A1  - Bornheim, Tobias
A1  - Grieger, Niklas
A1  - Blaneck, Patrick Gustav
A1  - Bialonski, Stephan
T1  - Speaker Attribution in German Parliamentary Debates with QLoRA-adapted Large Language Models
JF  - Journal for language technology and computational linguistics : JLCL
N2  - The growing body of political texts opens up new opportunities for rich insights into political dynamics and ideologies but also increases the workload for manual analysis. Automated speaker attribution, which detects who said what to whom in a speech event and is closely related to semantic role labeling, is an important processing step for computational text analysis. We study the potential of the large language model family Llama 2 to automate speaker attribution in German parliamentary debates from 2017-2021. We fine-tune Llama 2 with QLoRA, an efficient training strategy, and observe our approach to achieve competitive performance in the GermEval 2023 Shared Task On Speaker Attribution in German News Articles and Parliamentary Debates. Our results shed light on the capabilities of large language models in automating speaker attribution, revealing a promising avenue for computational analysis of political discourse and the development of semantic role labeling systems.
KW  - large language models
KW  - German
KW  - speaker attribution
KW  - semantic role labeling
Y1  - 2024
U6  - http://dx.doi.org/10.21248/jlcl.37.2024.244
SN  - 2190-6858
VL  - 37
IS  - 1
PB  - Gesellschaft für Sprachtechnologie und Computerlinguistik
CY  - Regensburg
ER  -