Analytical and bioanalytical chemistry
Jan 22, 2026
Prioritizing high-risk features is a key step to reduce workload in non-targeted screening (NTS) when identifying environmental contaminants. Machine learning models from the MS2Tox toolbox have shown promise for feature prioritization, but rely heav... read more
Water hyacinth (Eichhornia crassipes) is among the world's most aggressive invasive aquatic weeds. Its rapid proliferation forms thick floating mats that block sunlight, deplete dissolved oxygen, impede navigation, degrade water quality, and severely... read more
The Any Light Particle Search II (ALPS II) is a light shining through a wall experiment probing the existence of axions and axion-like particles using a 1064 nm laser source. While ALPS II is already taking data using a heterodyne based detection sch... read more
Hyperspectral imaging (HSI) is a smart, non-destructive sensing that integrates spectral and spatial information, advancing fertility prediction and structural evaluation of eggs. Despite increasing interest in poultry research, there remains no publ... read more
This paper presents an extensive dataset of real-world oscillograms that capture voltage and current signals from electrical substations. The dataset aims to advance research on power system analysis, fault detection, and machine learning-driven rela... read more
Detecting concealed chemicals and explosives remains a critical challenge in global security. Terahertz time-domain spectroscopy (THz-TDS) offers a promising non-invasive and stand-off detection technique owing to its ability to penetrate optically o... read more
Clinical chemistry and laboratory medicine
Jan 22, 2026
The Meeting on Science, Quality and Value of Laboratory Medicine was held on 11 December 2025 in Padua, immediately preceding the 7th European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Conference on the Preanalytical Phase. For ... read more
Biomedizinische Technik. Biomedical engineering
Jan 22, 2026
OBJECTIVES: This paper presents an experimental numerical method for modeling and analyzing stochastic systems. For this purpose, various machine prediction models are trained using the Monte Carlo simulation method. This method is presented using ex... read more
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