Publications by authors named "M Fiebig"

The effective management of human resources in nursing is fundamental to ensuring high-quality care. The necessary staffing levels can be derived from the nursing-related health status. Our approach is based on the use of artificial intelligence (AI) and machine learning (ML) to recognize key workload-driving predictors from routine data in the first step and derive recommendations for staffing levels in the second step.

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The effective management of human resources in nursing fundamental to ensuring high-quality care. The necessary staffing levels can beis derived from the nursing-related health status. Our approach is based on the use of artificial intelligence (AI) and machine learning (ML) to recognize key workload-driving predictors from routine clinical data in the first step and derive recommendations for staffing levels in the second step.

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Article Synopsis
  • This study focuses on how to accurately measure equivalent black carbon (eBC) concentrations using filter absorption photometers (FAPs) by understanding the mass absorption cross-section (MAC).
  • Researchers analyzed data from 22 different sites to compare various methods for calculating MAC, leading to different classifications of eBC such as LeBC, MeBC, and ReBC, with significant differences observed in measurement outcomes.
  • Results showed that MAC varies by site and season, influencing the observed trends in elemental carbon (EC), revealing a need for careful MAC consideration when interpreting eBC data to reduce uncertainty in measurements.
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Light is an effective tool to probe the polarization and domain distribution in ferroelectric materials passively, that is, non-invasively, for example, via optical second harmonic generation (SHG). With the emergence of oxide electronics, there is now a strong demand to expand the role of light toward active control of the polarization. In this work, optical control of the ferroelectric polarization is demonstrated in prototypical epitaxial PbZrTiO (PZT)-based heterostructures.

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Improved therapies are needed against snakebite envenoming, which kills and permanently disables thousands of people each year. Recently developed neutralizing monoclonal antibodies against several snake toxins have shown promise in preclinical rodent models. Here, we use phage display technology to discover a human monoclonal antibody and show that this antibody causes antibody-dependent enhancement of toxicity (ADET) of myotoxin II from the venomous pit viper, Bothrops asper, in a mouse model of envenoming that mimics a snakebite.

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