The Deep Seabed Hard Mineral Resources Bill

On November 2, 1971, Senator Metcalf introduced the Deep Seabed Hard Mineral Resources Bill, drafted by the American Mining Congress. The Bill is designed to provide the Secretary of the Interior with authority to promote the orderly development of the hard mineral resources of the deep seabed pending adoption of an international regime. According to Senator Metcalf, it is structured to order only the affairs of U.S. nationals. The introduction of the Bill, whether it becomes law or not, represents a major advance in the seabed debate requiring detailed analysis. If the Bill does not become law, there can be little doubt that similar legislation will soon be requested. This may be shown from a brief review of the circumstances preceding the presentation of the Bill

The recovery movement and its implications for policy, commissioning and practice

While a recovery approach is widespread and relatively unquestioned in the USA, its implementation in the UK and to a lesser extent in Australia has provoked a number of questions about what this means in practice and what some of the implications are for treatment. This is particularly important as there is growing interest in recovery in Western Europe with policy recognition in Belgium and the Netherlands, and increased interest in research issues around recovery. What this article sets out to do is to discuss the implications of a recovery model for commissioning and treatment systems, with a focus on where recovery approaches sit and what they can offer in terms of added value to treatment approaches

In-Service Performance of Airport Flexible Pavements Constructed Following State Specifications for Highway Pavement Materials

692M15-19-T-00026The Federal Aviation Administration (FAA) Reauthorization Act of 2018, Section 136 requires the FAA to allow the use of state highway specifications for airfield pavement construction at non-primary airports serving aircraft with a gross weight less than 60,000 lb if requested by the state. To confirm that state highway specifications provide an acceptable level of performance when used on airport pavements, the FAA initiated this project to compare the performance of airports constructed using state highway specifications with those constructed using FAA specifications. Performance data and specifications from 40 airport projects in five states were analyzed, with 21 using FAA specifications and 19 using state highway specifications. Based on the summarized pavement condition index (PCI) ratings from those projects (which are based on visual condition surveys and do not consider structural or functional performance), it was determined that the performance of airport asphalt pavements constructed using state highway specifications is statistically equivalent to asphalt pavements constructed using FAA specifications. The evaluations encompassed performance periods ranging from 1 to 15 years. Performance trends for the statistical analysis conducted showed an approximate PCI rating of 60 at year 14 for pavements constructed with both types of specifications. It was also determined that climate-based distresses were the predominant mode of distress for both FAA and state highway specification projects, with longitudinal and transverse cracking and weathering as the most prevalent types of distresses. The number of distresses that were load related was relatively minor, as only 8 of the 40 projects evaluated had load-related distresses. Of those projects, five used state highway specifications, and three used FAA specifications

Drug-resistant genotypes and multi-clonality in Plasmodium falciparum analysed by direct genome sequencing from peripheral blood of malaria patients.

Naturally acquired blood-stage infections of the malaria parasite Plasmodium falciparum typically harbour multiple haploid clones. The apparent number of clones observed in any single infection depends on the diversity of the polymorphic markers used for the analysis, and the relative abundance of rare clones, which frequently fail to be detected among PCR products derived from numerically dominant clones. However, minority clones are of clinical interest as they may harbour genes conferring drug resistance, leading to enhanced survival after treatment and the possibility of subsequent therapeutic failure. We deployed new generation sequencing to derive genome data for five non-propagated parasite isolates taken directly from 4 different patients treated for clinical malaria in a UK hospital. Analysis of depth of coverage and length of sequence intervals between paired reads identified both previously described and novel gene deletions and amplifications. Full-length sequence data was extracted for 6 loci considered to be under selection by antimalarial drugs, and both known and previously unknown amino acid substitutions were identified. Full mitochondrial genomes were extracted from the sequencing data for each isolate, and these are compared against a panel of polymorphic sites derived from published or unpublished but publicly available data. Finally, genome-wide analysis of clone multiplicity was performed, and the number of infecting parasite clones estimated for each isolate. Each patient harboured at least 3 clones of P. falciparum by this analysis, consistent with results obtained with conventional PCR analysis of polymorphic merozoite antigen loci. We conclude that genome sequencing of peripheral blood P. falciparum taken directly from malaria patients provides high quality data useful for drug resistance studies, genomic structural analyses and population genetics, and also robustly represents clonal multiplicity

Characterization of Within-Host Plasmodium falciparum Diversity Using Next-Generation Sequence Data

Our understanding of the composition of multi-clonal malarial infections and the epidemiological factors which shape their diversity remain poorly understood. Traditionally within-host diversity has been defined in terms of the multiplicity of infection (MOI) derived by PCR-based genotyping. Massively parallel, single molecule sequencing technologies now enable individual read counts to be derived on genome-wide datasets facilitating the development of new statistical approaches to describe within-host diversity. In this class of measures the FWS metric characterizes within-host diversity and its relationship to population level diversity. Utilizing P. falciparum field isolates from patients in West Africa we here explore the relationship between the traditional MOI and FWS approaches. FWS statistics were derived from read count data at 86,158 SNPs in 64 samples sequenced on the Illumina GA platform. MOI estimates were derived by PCR at the msp-1 and -2 loci. Significant correlations were observed between the two measures, particularly with the msp-1 locus (P = 5.92×10−5). The FWS metric should be more robust than the PCR-based approach owing to reduced sensitivity to potential locus-specific artifacts. Furthermore the FWS metric captures information on a range of parameters which influence out-crossing risk including the number of clones (MOI), their relative proportions and genetic divergence. This approach should provide novel insights into the factors which correlate with, and shape within-host diversity

Impact of Production Variability on Balanced Mix Designs in Virginia

116425The objective of this study was to evaluate the influence of production variability on performance test results to determine if mixtures balanced during design could become unbalanced during production. Fourteen currently accepted mixture designs, 10 BMD mixtures and 4 Superpave mixtures (to serve as a comparison between current standards and BMD designs), were recreated in the laboratory. Additionally, the mixes were adjusted to produce coarse and fine gradations and high and low binder contents according to currently accepted tolerance limits to simulate production variability. Two interaction mixtures assessing changes in gradation and binder content were evaluated as well as two critically aged mixtures

Social cohesion through football: a quasi-experimental mixed methods design to evaluate a complex health promotion program

Social isolation and disengagement fragments local communities. Evidence indicates that refugee families are highly vulnerable to social isolation in their countries of resettlement. Research to identify approaches to best address this is needed. Football United is a program that aims to foster social inclusion and cohesion in areas with high refugee settlement in New South Wales, Australia, through skills and leadership development, mentoring, and the creation of links with local community and corporate leaders and organisations. The Social Cohesion through Football study’s broad goal is to examine the implementation of a complex health promotion program, and to analyse the processes involved in program implementation. The study will consider program impact on individual health and wellbeing, social inclusion and cohesion, as well as analyse how the program by necessity interacts and adapts to context during implementation, a concept we refer to as plasticity. The proposed study will be the first prospective cohort impact study to our knowledge to assess the impact of a comprehensive integrated program using football as a vehicle for fostering social inclusion and cohesion in communities with high refugee settlement

A Cis-Regulatory Map of the Drosophila Genome

Systematic annotation of gene regulatory elements is a major challenge in genome science. Direct mapping of chromatin modification marks and transcriptional factor binding sites genome-wide1, 2 has successfully identified specific subtypes of regulatory elements3. In Drosophila several pioneering studies have provided genome-wide identification of Polycomb response elements4, chromatin states5, transcription factor binding sites6, 7, 8, 9, RNA polymerase II regulation8 and insulator elements10; however, comprehensive annotation of the regulatory genome remains a significant challenge. Here we describe results from the modENCODE cis-regulatory annotation project. We produced a map of the Drosophila melanogaster regulatory genome on the basis of more than 300 chromatin immunoprecipitation data sets for eight chromatin features, five histone deacetylases and thirty-eight site-specific transcription factors at different stages of development. Using these data we inferred more than 20,000 candidate regulatory elements and validated a subset of predictions for promoters, enhancers and insulators in vivo. We identified also nearly 2,000 genomic regions of dense transcription factor binding associated with chromatin activity and accessibility. We discovered hundreds of new transcription factor co-binding relationships and defined a transcription factor network with over 800 potential regulatory relationships

The impact of mass gatherings and holiday traveling on the course of an influenza pandemic: a computational model

<p>Abstract</p> <p>Background</p> <p>During the 2009 H1N1 influenza pandemic, concerns arose about the potential negative effects of mass public gatherings and travel on the course of the pandemic. Better understanding the potential effects of temporal changes in social mixing patterns could help public officials determine if and when to cancel large public gatherings or enforce regional travel restrictions, advisories, or surveillance during an epidemic.</p> <p>Methods</p> <p>We develop a computer simulation model using detailed data from the state of Georgia to explore how various changes in social mixing and contact patterns, representing mass gatherings and holiday traveling, may affect the course of an influenza pandemic. Various scenarios with different combinations of the length of the mass gatherings or traveling period (range: 0.5 to 5 days), the proportion of the population attending the mass gathering events or on travel (range: 1% to 50%), and the initial reproduction numbers R₀(1.3, 1.5, 1.8) are explored.</p> <p>Results</p> <p>Mass gatherings that occur within 10 days before the epidemic peak can result in as high as a 10% relative increase in the peak prevalence and the total attack rate, and may have even worse impacts on local communities and travelers' families. Holiday traveling can lead to a second epidemic peak under certain scenarios. Conversely, mass traveling or gatherings may have little effect when occurring much earlier or later than the epidemic peak, e.g., more than 40 days earlier or 20 days later than the peak when the initial R₀= 1.5.</p> <p>Conclusions</p> <p>Our results suggest that monitoring, postponing, or cancelling large public gatherings may be warranted close to the epidemic peak but not earlier or later during the epidemic. Influenza activity should also be closely monitored for a potential second peak if holiday traveling occurs when prevalence is high.</p

The influence of refuge sharing on social behaviour in the lizard Tiliqua rugosa

Refuge sharing by otherwise solitary individuals during periods of inactivity is an integral part of social behaviour and has been suggested to be the precursor to more complex social behaviour. We compared social association patterns of active versus inactive sheltering individuals in the social Australian sleepy lizard, Tiliqua rugosa, to empirically test the hypothesis that refuge sharing facilitates social associations while individuals are active. We fitted 18 neighbouring lizards with Global Positioning System (GPS) recorders to continuously monitor social associations among all individuals, based on location records taken every 10 min for 3 months. Based on these spatial data, we constructed three weighted, undirected social networks. Two networks were based on empirical association data (one for active and one for inactive lizards in their refuges), and a third null model network was based on hypothetical random refuge sharing. We found patterns opposite to the predictions of our hypothesis. Most importantly, association strength was higher in active than in inactive sheltering lizards. That is, individual lizards were more likely to associate with other lizards while active than while inactive and in shelters. Thus, refuge sharing did not lead to increased frequencies of social associations while lizards were active, and we did not find any evidence that refuge sharing was a precursor to sleepy lizard social behaviour. Our study of an unusually social reptile provides both quantitative data on the relationship between refuge sharing and social associations during periods of activity and further insights into the evolution of social behaviour in vertebrates