Comparison of Harvested and Nonharvested Painted Turtle Populations

Painted turtles (Chrysemys picta) are commercially harvested in large numbers in Minnesota for sale to biological supply companies and the pet trade. We investigated the possible effects of this harvest by comparing size, demography, and catch rates of painted turtles in 12 harvested and 10 nonharvested painted turtle populations in 2001 and 2002. We correlated turtle catch rates to harvest status, and harvested lakes had a lower catch-per-unit-effort than nonharvested lakes. Harvest had minimal effect on the size of turtles captured, and we found no significant differences in the count of male:female:juvenile turtles among lakes of different harvest status. We suggest that painted turtle populations likely have been impacted by harvester activities, but it was unclear whether the current harvest is sustainable. Further work is needed to determine whether there are any long-term effects on painted turtle populations

Moving beyond the Western Ideology and creating a more inclusive multilateral order is a herculean task

Andrew Gamble looks at some of the key doctrines which came to define western modernity. He writes that conservatives, socialists, libertarians, anarchists and nationalists have sought to shape western ideology, but the doctrine of ordered liberty, the free economy, and the strong state have retained their power. This resilience is being tested once more by new challenges, including the environmental crisis and the rise of new forms of authoritarian nationalism

Brexit will only be judged a watershed if it leads to major new directions in the constitution, political economy, or external stance of the state

Britain’s oscillation between engagement and non-engagement with the rest of Europe is likely to remain a fundamental part of British politics, writes Andrew Gamble. But whether Brexit marks a major watershed remains to be seen

Tertiary Climate Change and the Diversification of the Amazonian Gecko Genus Gonatodes (Sphaerodactylidae, Squamata)

The genus Gonatodes is a monophyletic group of small-bodied, diurnal geckos distributed across northern South America, Central America, and the Caribbean. We used fragments of three nuclear genes (RAG2, ACM4, and c-mos) and one mitochondrial gene (16S) to estimate phylogenetic relationships among Amazonian species of Gonatodes. We used Penalized Likelihood to estimate timing of diversification in the genus. Most cladogenesis occurred in the Oligocene and early Miocene and coincided with a burst of diversification in other South American animal groups including mollusks, birds, and mammals. The Oligocene and early Miocene were periods dominated by dramatic climate change and Andean orogeny and we suggest that these factors drove the burst of cladogenesis in Gonatodes geckos as well as other taxa. A common pattern in Amazonian taxa is a biogeographic split between the eastern and western Amazon basin. We observed two clades with this spatial distribution, although large differences in timing of divergence between the east–west taxon pairs indicate that these divergences were not the result of a common vicariant event

Calcium supplements with or without vitamin D and risk of cardiovascular events : reanalysis of the Women's Health Initiative limited access dataset and meta-analysis

Peer reviewedPublisher PD

Species Limits and Phylogeography of North American Cricket Frogs (Acris: Hylidae)

Cricket frogs are widely distributed across the eastern United States and two species, the northern cricket frog (Acris crepitans) and the southern cricket frog (A. gryllus) are currently recognized. We generated a phylogenetic hypothesis for Acris using fragments of nuclear and mitochondrial genes in separate and combined phylogenetic analyses. We also used distance methods and fixation indices to evaluate species limits within the genus and the validity of currently recognized subspecies of A. crepitans. The distributions of existing A. crepitans subspecies, defined by morphology and call types, do not match the distributions of evolutionary lineages recovered using our genetic data. We discuss a scenario of call evolution to explain this disparity. We also recovered distinct phylogeographic groups within A. crepitans and A. gryllus that are congruent with other codistributed taxa. Under a lineage-based species concept, we recognize Acris blanchardi as a distinct species. The importance of this revised taxonomy is discussed in light of the dramatic declines in A. blanchardi across the northern and western portions of its range

Use of routinely collected data in a UK cohort of publicly funded randomised clinical trials [version 2]

Routinely collected data about health in medical records, registries and hospital activity statistics is now routinely collected in an electronic form. The extent to which such sources of data are now being routinely accessed to deliver efficient clinical trials, is unclear. The aim of this study was to ascertain current practice amongst a United Kingdom (UK) cohort of recently funded and ongoing randomised controlled trials (RCTs) in relation to sources and use of routinely collected outcome data. Recently funded and ongoing RCTs were identified for inclusion by searching the National Institute for Health Research journals library. Trials that have a protocol available were assessed for inclusion and those that use or plan to use routinely collected health data (RCHD) for at least one outcome were included. RCHD sources and outcome information were extracted. Of 216 RCTs, 102 (47%) planned to use RCHD. A RCHD source was the sole source of outcome data for at least one outcome in 46 (45%) of those 102 trials. The most frequent sources are Hospital Episode Statistics (HES) and Office for National Statistics (ONS), with the most common outcome data to be extracted being on mortality, hospital admission, and health service resource use. Our study has found that around half of publicly funded trials in a UK cohort (NIHR HTA funded trials that had a protocol available) plan to collect outcome data from routinely collected data sources. This is much higher than the figure of 8% found in a cohort of 189 RCTs published since 2000, the majority of which were carried out in North America (McCord et al ., 2019)

Quality of reports of investigations of research integrity by academic institutions

Acknowledgements: We thank Mari Imamura for help with translating documents written in Japanese. Funding: No specific funding was received for this work. The Health Services Research Unit is funded by the Chief Scientist Office of the Scottish Government Health and Social Care Directorates.Peer reviewedPublisher PD

The public interest and the company in Britain and Germany:Project funded by the Anglo-German Foundation, 1998-1999

This study is principally concernedwith public interest agendas in relationto the company and how far these dif-fer in Germany and Britain. It is not concerned with the detail of external corporate regulation, but with how the internal structures of the company are constituted by particular political understandings of the public interest, which become embodied in formal and informal rules.·We examine factors which shape the politics of the public interest in relation to the company: firstly, the role of political ideas and interests in creating political coalitions which express a particular conception of the public interest; secondly, the extent to which rules and norms embodied in institutions and legal cases shape subsequent expectations of how the company is related to the public interest, and how it should behave; thirdly, how the constraints and opportunities of the global economy shape attitudes towards the boundaries of legitimate interference in company affairs; and fourthly, whether European integration substantially shapes company law in a way that can be distinguished from national legislation

Combining Multivariate Statistical Methods and Spatial Analysis to Characterize Water Quality Conditions in the White River Basin, Indiana, U.S.A.

Indiana University-Purdue University Indianapolis (IUPUI)This research performs a comparative study of techniques for combining spatial data and multivariate statistical methods for characterizing water quality conditions in a river basin. The study has been performed on the White River basin in central Indiana, and uses sixteen physical and chemical water quality parameters collected from 44 different monitoring sites, along with various spatial data related to land use – land cover, soil characteristics, terrain characteristics, eco-regions, etc. Various parameters related to the spatial data were analyzed using ArcHydro tools and were included in the multivariate analysis methods for the purpose of creating classification equations that relate spatial and spatio-temporal attributes of the watershed to water quality data at monitoring stations. The study compares the use of various statistical estimates (mean, geometric mean, trimmed mean, and median) of monitored water quality variables to represent annual and seasonal water quality conditions. The relationship between these estimates and the spatial data is then modeled via linear and non-linear multivariate methods. The linear statistical multivariate method uses a combination of principal component analysis, cluster analysis, and discriminant analysis, whereas the non-linear multivariate method uses a combination of Kohonen Self-Organizing Maps, Cluster Analysis, and Support Vector Machines. The final models were tested with recent and independent data collected from stations in the Eagle Creek watershed, within the White River basin. In 6 out of 20 models the Support Vector Machine more accurately classified the Eagle Creek stations, and in 2 out of 20 models the Linear Discriminant Analysis model achieved better results. Neither the linear or non-linear models had an apparent advantage for the remaining 12 models. This research provides an insight into the variability and uncertainty in the interpretation of the various statistical estimates and statistical models, when water quality monitoring data is combined with spatial data for characterizing general spatial and spatio-temporal trends