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Recently Added 

  1. Robust Feature Selection for BP Estimation in Multiple Populations: Towards Cuffless Ambulatory BP Monitoring 

    Cisnal, Ana; Li, Yanke; Fuchs, Bertram; et al. (2024)
    IEEE Journal of Biomedical and Health Informatics
    Current blood pressure (BP) estimation methods have not achieved an accurate and adaptable approach for ambulatory diagnosis and monitoring applications of populations at risk of cardiovascular disease, generally due to a limited sample size. This paper introduces an algorithm for BP estimation solely reliant on photoplethysmography (PPG) signals and demographic features. It automatically obtains signal features and employs the Markov ...
    Journal Article
  2. Performance and Robustness of Physiological Controllers with Integrated Pressure Sensors on Inflow Cannula 

    Gwosch, Thomas; Magkoutas, Konstantinos; Schmid Daners, Marianne (2024)
    IEEE Transactions on Biomedical Engineering
    The control of left ventricular assist devices (LVADs) requires sensors and/or estimators to account for the physiological state of the patient and apply advanced controllers. Sensor characteristics are a challenge when using implantable pressure sensors because they influence the quality of physiological control and the robustness of the controlled system. The objective of this work is to investigate the performance and robustness of ...
    Journal Article
  3. The role of omics in improving the orphan crop tef 

    Gonzales, Lorena Y. Ramírez; Cannarozzi, Gina; Jäggi, Lea; et al. (2024)
    Trends in Genetics
    Tef or teff [Eragrostis tef (Zucc.) Trotter] is a cereal crop indigenous to the Horn of Africa, where it is a staple food for a large population. The popularity of tef arises from its resilience to environmental stresses and its nutritional value. For many years, tef has been considered an orphan crop, but recent research initiatives from across the globe are helping to unravel its undisclosed potential. Advanced omics tools and techniques ...
    Review Article
  4. Geometric deep learning-guided Suzuki reaction conditions assessment for applications in medicinal chemistry 

    Atz, Kenneth; Nippa, David F.; Müller, Alex T.; et al. (2024)
    RSC Medicinal Chemistry
    Suzuki cross-coupling reactions are considered a valuable tool for constructing carbon–carbon bonds in small molecule drug discovery. However, the synthesis of chemical matter often represents a time-consuming and labour-intensive bottleneck. We demonstrate how machine learning methods trained on high-throughput experimentation (HTE) data can be leveraged to enable fast reaction condition selection for novel coupling partners. We show ...
    Journal Article
  5. High-resolution FTIR spectroscopy and analysis of the Kₐ = 0 ← 1 subbands of the fundamentals ν₃ and ν₆ of the dimer (HF)₂ 

    Hollenstein, Hans; Hippler, Michael; Seyfang, Georg; et al. (2024)
    Molecular Physics
    We report new far-infrared spectra of (HF)2 obtained by high resolution long-path Fourier Transform-Infrared (FTIR) spectroscopy. The origins of the two tunneling components of the Ka = 0 ← 1 subband of the in-plane symmetric bending fundamental ν3 were found to be at 450.4546 cm−1 (Γt: A+ ← B+) and at 451.4583 cm−1 (B+ ← A+), and of the Ka = 0 ← 1 subband of the out-of-plane bending fundamental ν6 at 382.0802 cm−1 (A+ ← A+) and at ...
    Journal Article

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