Different mechanisms shaped the transition to farming in Europe and the North American Woodland

The introduction and emergence of agriculture into Eastern North America (ENA) and Europe proceeded very differently in both subcontinents: it varied in timing, speed, and mechanism. Common to both regions, agricultural subsistence profited from the introduction of major staple crops which had been domesticated elsewhere; in both regions, the temperate climate and originally predominant forest vegetation provided an environmental context conducive to agriculture. To understand the different paths to agricultural subsistence, an integrated view of technological innovation, domestication and exchange of domesticates, migration and trade is required within the constraints imposed by the environmental context and geography. This study makes use of a numerical model of regional socio-technological evolution which builds on adaptation of important characteristics of prehistoric societies such as technology and subsistence diversity. With this Global Land Use and Technological Evolution Simulator (GLUES), regional transitions from foraging to agropastoralism, and associated land use and demographic changes are realistically hindcasted. I show that the model is capable of explaining the different timing, speed, and transition mechanisms: Europe received a large package of foreign domesticates and converted rapidly to agriculture, this fast transition can be best explained with demic and cultural diffusion followed by fast adoption by resident foragers. In contrast, ENA trajectories show a more gradual transition. Hunting-gathering and agropastoral life style coexisted for a long time and agriculture was adopted slowly into the existing subsistence scheme.Comment: Submitted to Archaeology, Ethnology and Anthropology of Eurasia, 9 pages, 6 figures, 1 tabl

Psychosocial Interventions for Depressive and Anxiety Symptoms in Individuals with Chronic Kidney Disease: Systematic Review and Meta-Analysis

Purpose: Depressive and anxiety symptoms are common amongst individuals with chronic kidney disease and are known to affect quality of life adversely. Psychosocial interventions have been shown to decrease depressive and anxiety symptoms in various chronic diseases, but few studies have examined their efficacy in people with chronic kidney disease and no meta-analysis has been published. Thus, the aim of the present systematic review and meta-analysis was to evaluate the effects of psychosocial interventions on depressive and anxiety symptoms as well as quality of life in individuals diagnosed with chronic kidney disease and/or their carers. Methods: In this systematic review and meta-analysis, we included published randomized controlled trials comparing psychosocial interventions versus usual care for impacting depressive and anxiety symptoms and quality of life. Results: Eight studies were included in the systematic review and six of these were subjected to meta-analysis. Psychosocial interventions were associated with a medium effect size for reduction in depressive symptoms and a small effect size for improved quality of life in the in individuals with chronic-kidney-disease and their carers. Some evidence suggested a reduction in anxiety. Conclusion: Psychosocial interventions appear to reduce depressive symptoms and improve quality of life in patients with chronic-kidney-disease and their carers and to have some beneficial impact on anxiety. However, the small number of identified studies indicates a need for further research in this field

Assessment of an established dialysis nurse practitioner model of care using mixed methods research

Aims and Objectives: To assess a dialysis nurse practitioner ( NP ) model of care by examining satisfaction, quality of life ( QOL ) and clinical outcomes of haemodialysis patients and explore experiences of dialysis nurses. Design: Mixed methods. Methods: Database analyses of dialysis indices amongst a sample ( n = 45 ) of haemodialysis patients; a survey ( n = 27 ) examining patient experience, satisfaction and QOL; and in-depth interviews with a sample ( n = 10 ) of nurses. Results: Nurses commended the NP role, with five themes emerging: “managing and co-ordinating”, “streamlining and alleviating”, “developing capability”, “supporting innovation and quality” and “connecting rurally”. Patients’ average age was 66 years and 71% were male. Patients’ satisfaction with the care they received was rated 3.5/4 or higher across seven parameters and the average QOL score was 7.9/10. Conclusion: The NP model of care is effective in enhancing patient care within a collaborative framework. The challenge is to sustain, and enhance the model, through mentorship programs for potential candidates

Improved Models of Coalescence Ages of Y-DNA Haplogroups

Databases of commercial DNA-testing companies now contain more customers with sequenced DNA than any completed academic study, leading to growing interest from academic and forensic entities. An important result for both these entities and the test takers themselves is how closely two individuals are related in time, as calculated through one or more molecular clocks. For Y-DNA, existing interpretations of these clocks are insufficiently accurate to usefully measure relatedness in historic times. In this article, I update the methods used to calculate coalescence ages (times to most-recent common ancestor, or TMRCAs) using a new, probabilistic statistical model that includes Y-SNP, Y-STR and ancilliary historical data, and provide examples of its use

Small world effect in an epidemiological model

A model for the spread of an infection is analyzed for different population structures. The interactions within the population are described by small world networks, ranging from ordered lattices to random graphs. For the more ordered systems, there is a fluctuating endemic state of low infection. At a finite value of the disorder of the network, we find a transition to self-sustained oscillations in the size of the infected subpopulation

Constraining the Deforestation History of Europe: Evaluation of Historical Land Use Scenarios with Pollen-Based Land Cover Reconstructions

Anthropogenic land cover change (ALCC) is the most important transformation of the Earth system that occurred in the preindustrial Holocene, with implications for carbon, water and sediment cycles, biodiversity and the provision of ecosystem services and regional and global climate. For example, anthropogenic deforestation in preindustrial Eurasia may have led to feedbacks to the climate system: both biogeophysical, regionally amplifying winter cold and summer warm temperatures, and biogeochemical, stabilizing atmospheric CO 2 concentrations and thus influencing global climate. Quantification of these effects is difficult, however, because scenarios of anthropogenic land cover change over the Holocene vary widely, with increasing disagreement back in time. Because land cover change had such widespread ramifications for the Earth system, it is essential to assess current ALCC scenarios in light of observations and provide guidance on which models are most realistic. Here, we perform a systematic evaluation of two widely-used ALCC scenarios (KK10 and HYDE3.1) in northern and part of central Europe using an independent, pollen-based reconstruction of Holocene land cover (REVEALS). Considering that ALCC in Europe primarily resulted in deforestation, we compare modeled land use with the cover of non-forest vegetation inferred from the pollen data. Though neither land cover change scenario matches the pollen-based reconstructions precisely, KK10 correlates well with REVEALS at the country scale, while HYDE systematically underestimates land use with increasing magnitude with time in the past. Discrepancies between modeled and reconstructed land use are caused by a number of factors, including assumptions of per-capita land use and socio-cultural factors that cannot be predicted on the basis of the characteristics of the physical environment, including dietary preferences, long-distance trade, the location of urban areas and social organization

Climate and society in long-term perspective: opportunities and pitfalls in the use of historical datasets

Recent advances in palaeoclimatology and the growing digital availability of large historical datasets on human activity have created new opportunities to investigate long-term interactions between climate and society. However, noncritical use of historical datasets can create pitfalls, resulting in misleading findings that may become entrenched as accepted knowledge. We demonstrate pitfalls in the content, use and interpretation of historical datasets in research into climate and society interaction through a systematic review of recent studies on the link between climate and (a) conflict incidence, (b) plague outbreaks and (c) agricultural productivity changes. We propose three sets of interventions to overcome these pitfalls, which involve a more critical and multidisciplinary collection and construction of historical datasets, increased specificity and transparency about uncertainty or biases, and replacing inductive with deductive approaches to causality. This will improve the validity and robustness of interpretations on the long-term relationship between climate and society

Femoral nerve compression secondary to a ganglion cyst arising from a hip joint: a case report and review of the literature

<p>Abstract</p> <p>Introduction</p> <p>Femoral nerve compression due to a cystic lesion around the hip joint is rare and only a few cases have been described in the literature. Among these, true ganglion cysts are even more rare.</p> <p>Case presentation</p> <p>We report the case of a 57-year-old woman with femoral nerve compression caused by a true ganglion cyst of the hip joint.</p> <p>Conclusion</p> <p>A high index of suspicion is required to predict a non-palpable cystic lesion around the hip joint as it may mimic different disorders and should be kept in mind in the differential diagnosis of unusual groin pain, radicular pain and peripheral vascular disorders.</p