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Paul Wach

Researcher at Graz University of Technology

Publications -  181
Citations -  3301

Paul Wach is an academic researcher from Graz University of Technology. The author has contributed to research in topics: Inverse problem & Insulin. The author has an hindex of 28, co-authored 181 publications receiving 3145 citations. Previous affiliations of Paul Wach include Martin Luther University of Halle-Wittenberg & University of Graz.

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Imaging of the active B1 field in vivo.

TL;DR: With the described method the active B1 field can be determined in vivo in 23 cross‐sections in less than 6 min, and the stability and accuracy of the presented method is shown by several phantom and in vivo measurements.
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Non-invasive beat-to-beat cardiac output monitoring by an improved method of transthoracic bioimpedance measurement.

TL;DR: The report describes a method of impedance cardiography using an improved estimate of thoracic volume which excels in comparison with thermodilution and is comparable to the BioZ device.
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Continuous non-invasive blood pressure monitoring using concentrically interlocking control loops.

TL;DR: The instrument, in contrast to intermittent set point readjustments of the conventional vascular unloading technique, delivers BP without interruptions, thus refining the Penáz' principle.
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Evidence for a common mode of transcription factor interaction with chromatin as revealed by improved quantitative fluorescence recovery after photobleaching.

TL;DR: The new estimates predict that for each of the three transcription factors, approximately 75% of the molecules are freely diffusing within the nucleus, whereas the remainder is bound with an average residence time of approximately 2.5 s to a single type of chromatin binding site.
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A software package for non-invasive, real-time beat-to-beat monitoring of stroke volume, blood pressure, total peripheral resistance and for assessment of autonomic function

TL;DR: The goal of the present study was to develop and evaluate algorithms for non-invasive, real-time, beat-to-beat monitoring of stroke index (SI), blood pressure (BP) and total peripheral resistance index (TPRI) which has a menu-driven interface, suitable for routine use by unskilled staff.