239 research outputs found
MEI Kodierung der frĂĽhesten Notation in linienlosen Neumen
Das Optical Neume Recognition Project (ONRP) hat die digitale Kodierung von musikalischen Notationszeichen aus dem Jahr um 1000 zum Ziel – ein ambitioniertes Vorhaben, das die Projektmitglieder veranlasste, verschiedenste methodische Ansätze zu evaluieren. Die Optical Music Recognition-Software soll eine linienlose Notation aus einem der ältesten erhaltenen Quellen mit Notationszeichen, dem Antiphonar Hartker aus der Benediktinerabtei St. Gallen (Schweiz), welches heute in zwei Bänden in der Stiftsbibliothek in St. Gallen aufbewahrt wird, erfassen. Aufgrund der handgeschriebenen, linienlosen Notation stellt dieser Gregorianische Gesang den Forscher vor viele Herausforderungen. Das Werk umfasst über 300 verschiedene Neumenzeichen und ihre Notation, die mit Hilfe der Music Encoding Initiative (MEI) erfasst und beschrieben werden sollen. Der folgende Artikel beschreibt den Prozess der Adaptierung, um die MEI auf die Notation von Neumen ohne Notenlinien anzuwenden. Beschrieben werden Eigenschaften der Neumennotation, um zu verdeutlichen, wo die Herausforderungen dieser Arbeit liegen sowie die Funktionsweise des Classifiers, einer Art digitalen Neumenwörterbuchs
Subgroup analysis of patients with 1-level cervical disc disease.
<p>Subgroup analysis of patients with 1-level cervical disc disease.</p
Risk of bias assessment of all included studies.
<p>Risk of bias assessment of all included studies.</p
Forest plot for radiological adjacent segment degeneration.
<p>Forest plot for radiological adjacent segment degeneration.</p
Forest plot for neurological success and implant/surgery-related serious adverse events.
<p>Forest plot for neurological success and implant/surgery-related serious adverse events.</p
A Bioelectrochemical Method for the Quantitative Description of the Hofmeister Effect of Ionic Liquids in Aqueous Solution
It is imperative to establish a simple, efficient, and
practical
method to investigate the Hofmeister effect of ionic liquids (ILs)
on the behavior of proteins (enzymes). In this study, the effects
of the cations and anions of different ILs in aqueous media on the
structural stability of horseradish peroxidase (HRP), a model oxidoreductase,
were systematically investigated using electrochemical methods. It
is found that without ILs no direct electron transfer current signals
of HRP appear at bare glassy carbon electrode (GCE) in phosphate buffer
(pH 7.0) even after incubation and accumulation at a negative potential.
In the presence of ILs, however, a current signal occurs at GCE, depending
on the structure of the IL and its concentration. A linear relationship
between the peak currents and the scan rates demonstrates that the
direct electron transfer is a surface-confined thin-layer electrochemical
process. The redox signal at GCE is from the heme of HRP. An IL has
a perturbing effect on the HRP structure. The anodic peak current
of HRP at GCE, the catalytic activity of HRP, and the secondary structure
of HRP are well correlated. Different cations or anions at varied
concentrations have different effects on the structural stability
of HRP, resulting in different current signals at GCE. Thus, the anodic
peak current of HRP at GCE can be used as an indicator to quantitatively
characterize the effect of ILs on the structural stability of HRP.
The present Hofmeister series for cations and anions is in good agreement
with that reported elsewhere. To our knowledge, this is a first attempt
to establish a simple and practical electrochemical method to correlate
Hofmeister effects with characteristics of ions and solvents. The
present investigation not only deepens our understanding of the complex
electrochemical behavior of proteins in ILs media but also offers
a practical guidance to designing “green” and biocompatible
ILs for protein (enzyme) separation, purification, and enzymatic catalysis
and conversion
Forest plot for overall success and NDI success.
<p>Forest plot for overall success and NDI success.</p
Forest plot for patient satisfaction and recommendation.
<p>Forest plot for patient satisfaction and recommendation.</p
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