Socio-Spatial Relationships in Dairy Cows

Farm animals may serve as models for evaluating social networks in a controlled environment. We used an automated system to track, at fine temporal and spatial resolution (once per minute, +/- 50 cm) every individual in six herds of dairy cows (Bos taurus). We then analysed the data using social network analyses. Relationships were based on non-random attachment and avoidance relationships in respect to synchronous use and distances observed in three different functional areas (activity, feeding and lying). We found that neither synchrony nor distance between cows was strongly predictable among the three functional areas. The emerging social networks were tightly knit for attachment relationships and less dense for avoidance relationships. These networks loosened up from the feeding and lying area to the activity area, and were less dense for relationships based on synchronicity than on median distance with respect to node degree, relative size of the largest cluster, density and diameter of the network. In addition, synchronicity was higher in dyads of dairy cows that had grown up together and shared their last dry period. This last effect disappeared with increasing herd size. Dairy herds can be characterized by one strongly clustered network including most of the herd members with many non-random attachment and avoidance relationships. Closely synchronous dyads were composed of cows with more intense previous contact. The automatic tracking of a large number of individuals proved promising in acquiring the data necessary for tackling social network analyses.

Prognostic occupational factors for persistent low back pain in primary care

To reduce the socio-economic burden of persistent low back pain (LBP), factors influencing the progression of acute/subacute LBP to the persistent state must be identified at an early stage.

Tropical cyclone-related socio-economic losses in the western North Pacific region

The western North Pacific (WNP) is the area of the world most frequently affected by tropical cyclones (TCs). However, little is known about the socio-economic impacts of TCs in this region, probably because of the limited relevant loss data. Here, loss data from Munich RE's NatCatSERVICE database is used, a high-quality and widely consulted database of natural disasters. In the country-level loss normalisation technique we apply, the original loss data are normalised to present-day exposure levels by using the respective country's nominal gross domestic product at purchasing power parity as a proxy for wealth. The main focus of our study is on the question of whether the decadal-scale TC variability observed in the Northwest Pacific region in recent decades can be shown to manifest itself economically in an associated variability in losses. It is shown that since 1980 the frequency of TC-related loss events in the WNP exhibited, apart from seasonal and interannual variations, interdecadal variability with a period of about 22 yr – driven primarily by corresponding variations of Northwest Pacific TCs. Compared to the long-term mean, the number of loss events was found to be higher (lower) by 14% (9%) in the positive (negative) phase of the decadal-scale WNP TC frequency variability. This was identified for the period 1980–2008 by applying a wavelet analysis technique. It was also possible to demonstrate the same low-frequency variability in normalised direct economic losses from TCs in the WNP region. The identification of possible physical mechanisms responsible for the observed decadal-scale Northwest Pacific TC variability will be the subject of future research, even if suggestions have already been made in earlier studies.

Constructing, Creating and Contesting Cityscapes. A Socio-Anthropological Approach to Urban Transformation in Southern Xinjiang, People’s Republic of China

This manuscript is based on a PhD thesis submitted at the Institute of Social Anthropology at the University of Bern in 2014. The dissertation was part of the research project „Xinjiang Uyghur Autonomous Region and Chinese Territoriality. The Development of Infrastructure and Han Migration into the Region“ under the supervision of Prof. Dr. Heinzpeter Znoj and financed by the Swiss National Science Foundation SNSF. Madlen Kobi analyzes the architectural and socio-political transformation of public places and spaces in rapidly urbanizing southern Xinjiang, P.R. China, and in doing so pays particular attention to the cities of Aksu and Kaxgar. As the Xinjiang Uyghur Autonomous Region lies in between China and Central Asia, it is especially characterized by differing political, cultural, and religious influences, and, furthermore, due to its being a multiethnic region, by multiple identities. One might expect cultural and social identities in this area to be negotiated by referring to history, religion, or food. However, they also become visible by the construction and reconstruction, if not demolition, of public places, architectural landmarks, and private residences. Based on ethnographic fieldwork performed in 2011 and 2012, the study explores everyday life in a continuously transforming urban environment shaped by the interaction of the interests of government institutions, investment companies, the middle class, and migrant workers, among many other actors. Here, urban planning, modernization, and renewal form a highly sensitive lens through which the author inspects the tense dynamics of ethnic, religious, and class-based affiliations. She respects varieties and complexities while thoroughly grounding unfolding transformation processes in everyday lived experiences. The study provides vivid insights into how urban places and spaces in this western border region of China are constructed, created, and eventually contested.