Predicting organic acid concentration from UV/vis spectrometry measurements - A comparison of machine learning techniques

The concentration of organic acids in anaerobic digesters is one of the most critical parameters for monitoring and advanced control of anaerobic digestion processes. Thus, a reliable online-measurement system is absolutely necessary. A novel approach to obtaining these measurements indirectly and online using UV/vis spectroscopic probes, in conjunction with powerful pattern recognition methods, is presented in this paper. An UV/vis spectroscopic probe from S::CAN is used in combination with a custom-built dilution system to monitor the absorption of fully fermented sludge at a spectrum from 200 to 750 nm. Advanced pattern recognition methods are then used to map the non-linear relationship between measured absorption spectra to laboratory measurements of organic acid concentrations. Linear discriminant analysis, generalized discriminant analysis (GerDA), support vector machines (SVM), relevance vector machines, random forest and neural networks are investigated for this purpose and their performance compared. To validate the approach, online measurements have been taken at a full-scale 1.3-MW industrial biogas plant. Results show that whereas some of the methods considered do not yield satisfactory results, accurate prediction of organic acid concentration ranges can be obtained with both GerDA and SVM-based classifiers, with classification rates in excess of 87% achieved on test data.

Christian Gottlob Neefe and the Bonn National Theatre, with New Light on the Beethoven Family

When the Bonn stage was closed after the death of Elector Max Friedrich in 1784, the director of its theatre company, Gustav Friedrich Wilhelm Großmann, decided to leave the city to further his career elsewhere in the Rhinelands. During the next few years, he was kept informed about developments in Bonn by two of his erstwhile colleagues, Christian Gottlob Neefe and Nikolaus Simrock, whose correspondence paints a vivid picture of musical life in the city during the later 1780s. The new Elector, Maximilian Franz, permitted a visiting troupe to perform during Carnival each year, but repeatedly delayed the decision to re-establish a resident troupe. In 1787 Christoph Brandt, a singer in the Bonn Hofkapelle, attempted a home-grown initiative, perhaps to test the market for a new permanent company. Although this failed almost immediately, a single, well-attended public rehearsal of Monsigny’s Le Déserteur was given, in which Johann van Beethoven made what was probably his last stage appearance. In a letter dated 14 May 1787, Simrock rated his performance ‘zimlich gut’. In the event, a new Bonn troupe was not recruited until 1789, when it featured the young singer Magdalena Willmann. Neefe and his musical colleagues were relieved finally to be able to resume their theatrical careers.

New genetic loci link adipose and insulin biology to body fat distribution

Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms.