«Einige Zeit aufs Singen verwendet». Musik als Kernressource dörflicher Kultur am Beispiel des schweizerischen 18. Jahrhunderts

Dealing with popular music in premodern times historical research usually focuses on so called “Volksmusik”. But already in the 18th century researchers were disappointed to find only few traces of imaginary “traditional” music in Switzerland. They unfortunately overlooked that common people kept on with their own stubborn musical culture: Beginning with the Reformation the authorities encouraged the communities to employ schoolmasters who were able to teach music. Their goal was that everybody should be able to participate in liturgical music actively. Over generations even people with no special musical talent adopted their own repertoire of psalms plus techniques of reading music and polyphonic singing. Spontaneous choral singing evolved into a common everyday practice. The most ambitious and brightest teachers even taught instrumental lessons at home on their proper pianos and chamber organs or encouraged the villagers to build new prestigious organs in their churches. The financial burden of such instruments weighted heavily on the communities. Some of them received financial support from the government, albeit unwillingly because it was obvious to the rulers that the villages just wanted to overtop each other. Homemade music was the most important issue in the cultural life of most parishes. Rich communes spent a lot of money to win the best voices on-site for their church choirs. Belonging to an elitists’ singer association paved the way to the farmer-village’s highlevel sociability.

How scientific is the science in ethnopharmacology? Historical perspectives and epistemological problems

This commentary is based on a general concern regarding the low level of self-criticism (-evaluation) in the interpretation of molecular pharmacological data published in ethnopharmacology-related journals. Reports on potentially new lead structures or pharmacological effects of medicinal plant extracts are mushrooming. At the same time, nonsense in bioassays is an increasing phenomenon in herbal medicine research. Only because a dataset is reproducible does not imply that it is meaningful. Currently, there are thousands of claims of pharmacological effects of medicinal plants and natural products. It is argued that claims to knowledge in ethnopharmacology, as in the exact sciences, should be rationally criticized if they have empirical content as it is the case with biochemical and pharmacological analyses. Here the major problem is the misemployment of the concentration-effect paradigm and the overinterpretation of data obtained in vitro. Given the almost exponential increase of scientific papers published it may be the moment to adapt to a falsificationist methodology.

Dynamic computer simulations of electrophoresis: three decades of active research

Dynamic models for electrophoresis are based upon model equations derived from the transport concepts in solution together with user-inputted conditions. They are able to predict theoretically the movement of ions and are as such the most versatile tool to explore the fundamentals of electrokinetic separations. Since its inception three decades ago, the state of dynamic computer simulation software and its use has progressed significantly and Electrophoresis played a pivotal role in that endeavor as a large proportion of the fundamental and application papers were published in this periodical. Software is available that simulates all basic electrophoretic systems, including moving boundary electrophoresis, zone electrophoresis, ITP, IEF and EKC, and their combinations under almost exactly the same conditions used in the laboratory. This has been employed to show the detailed mechanisms of many of the fundamental phenomena that occur in electrophoretic separations. Dynamic electrophoretic simulations are relevant for separations on any scale and instrumental format, including free-fluid preparative, gel, capillary and chip electrophoresis. This review includes a historical overview, a survey of current simulators, simulation examples and a discussion of the applications and achievements of dynamic simulation.

Description of the ERA-CLIM historical upper-air data

Historical, i.e. pre-1957, upper-air data are a valuable source of information on the state of the atmosphere, in some parts of the world dating back to the early 20th century. However, to date, reanalyses have only partially made use of these data, and only of observations made after 1948. Even for the period between 1948 (the starting year of the NCEP/NCAR (National Centers for Environmental Prediction/National Center for Atmospheric Research) reanalysis) and the International Geophysical Year in 1957 (the starting year of the ERA-40 reanalysis), when the global upper-air coverage reached more or less its current status, many observations have not yet been digitised. The Comprehensive Historical Upper-Air Network (CHUAN) already compiled a large collection of pre-1957 upper-air data. In the framework of the European project ERA-CLIM (European Reanalysis of Global Climate Observations), significant amounts of additional upper-air data have been catalogued (> 1.3 million station days), imaged (> 200 000 images) and digitised (> 700 000 station days) in order to prepare a new input data set for upcoming reanalyses. The records cover large parts of the globe, focussing on, so far, less well covered regions such as the tropics, the polar regions and the oceans, and on very early upper-air data from Europe and the US. The total number of digitised/inventoried records is 61/101 for moving upper-air data, i.e. data from ships, etc., and 735/1783 for fixed upper-air stations. Here, we give a detailed description of the resulting data set including the metadata and the quality checking procedures applied. The data will be included in the next version of CHUAN. The data are available at doi:10.1594/PANGAEA.821222

Person-sensitive TAME marking in Galo: Historical origins and functional motivation

Scott DeLancey’s analysis of person-sensitive TAME marking in Lhasa Tibetan – “a.k.a. conjunct-disjunct marking” or “egophoricity” – has stimulated considerable discussion and debate, particularly as previously little-known languages of the Tibeto-Burman area, as well as outside it, have come to be described, and a wider range of functional factors have been taken into account. This chapter is intended as a contribution to this discussion, by presenting the first detailed analysis of person-sensitive TAME marking in a language of the Tani subgroup of Tibeto-Burman, namely Galo. Like Tournadre (2008), I find that person-sensitive TAME marking in Galo is not a grammaticalized index of person (“agreement”) nor of cross-clause subject continuity, but is instead a semantic index of an assertor’s knowledge state. Unlike in more westerly Tibeto-Burman languages, however, different construals of agency and/or volition do not seem to be factors in the Galo system. Thus, there are both similarities and differences underlying systems of person-sensitive TAME marking in different Tibeto-Burman languages; this suggests that further research - particularly, employing a diachronic perspective when possible - will be required before we can confidently characterize person-sensitive TAME marking from a pan-Tibeto-Burman (or broader) cross-linguistic perspective.

Observation errors in early historical upper-air observations

Upper-air observations are a fundamental data source for global atmospheric data products, but uncertainties, particularly in the early years, are not well known. Most of the early observations, which have now been digitized, are prone to a large variety of undocumented uncertainties (errors) that need to be quantified, e.g., for their assimilation in reanalysis projects. We apply a novel approach to estimate errors in upper-air temperature, geopotential height, and wind observations from the Comprehensive Historical Upper-Air Network for the time period from 1923 to 1966. We distinguish between random errors, biases, and a term that quantifies the representativity of the observations. The method is based on a comparison of neighboring observations and is hence independent of metadata, making it applicable to a wide scope of observational data sets. The estimated mean random errors for all observations within the study period are 1.5 K for air temperature, 1.3 hPa for pressure, 3.0 ms−1for wind speed, and 21.4° for wind direction. The estimates are compared to results of previous studies and analyzed with respect to their spatial and temporal variability.