60 research outputs found
Assessment of methods for amino acid matrix selection and their use on empirical data shows that ad hoc assumptions for choice of matrix are not justified
BACKGROUND: In recent years, model based approaches such as maximum likelihood have become the methods of choice for constructing phylogenies. A number of authors have shown the importance of using adequate substitution models in order to produce accurate phylogenies. In the past, many empirical models of amino acid substitution have been derived using a variety of different methods and protein datasets. These matrices are normally used as surrogates, rather than deriving the maximum likelihood model from the dataset being examined. With few exceptions, selection between alternative matrices has been carried out in an ad hoc manner. RESULTS: We start by highlighting the potential dangers of arbitrarily choosing protein models by demonstrating an empirical example where a single alignment can produce two topologically different and strongly supported phylogenies using two different arbitrarily-chosen amino acid substitution models. We demonstrate that in simple simulations, statistical methods of model selection are indeed robust and likely to be useful for protein model selection. We have investigated patterns of amino acid substitution among homologous sequences from the three Domains of life and our results show that no single amino acid matrix is optimal for any of the datasets. Perhaps most interestingly, we demonstrate that for two large datasets derived from the proteobacteria and archaea, one of the most favored models in both datasets is a model that was originally derived from retroviral Pol proteins. CONCLUSION: This demonstrates that choosing protein models based on their source or method of construction may not be appropriate
Semi-automated quantification of left ventricular volumes and ejection fraction by real-time three-dimensional echocardiography
<p>Abstract</p> <p>Background</p> <p>Recent studies have shown that real-time three-dimensional (3D) echocardiography (RT3DE) gives more accurate and reproducible left ventricular (LV) volume and ejection fraction (EF) measurements than traditional two-dimensional methods. A new semi-automated tool (4DLVQ) for volume measurements in RT3DE has been developed. We sought to evaluate the accuracy and repeatability of this method compared to a 3D echo standard.</p> <p>Methods</p> <p>LV end-diastolic volumes (EDV), end-systolic volumes (ESV), and EF measured using 4DLVQ were compared with a commercially available semi-automated analysis tool (TomTec 4D LV-Analysis ver. 2.2) in 35 patients. Repeated measurements were performed to investigate inter- and intra-observer variability.</p> <p>Results</p> <p>Average analysis time of the new tool was 141s, significantly shorter than 261s using TomTec (<it>p </it>< 0.001). Bland Altman analysis revealed high agreement of measured EDV, ESV, and EF compared to TomTec (<it>p </it>= <it>NS</it>), with bias and 95% limits of agreement of 2.1 ± 21 ml, -0.88 ± 17 ml, and 1.6 ± 11% for EDV, ESV, and EF respectively. Intra-observer variability of 4DLVQ vs. TomTec was 7.5 ± 6.2 ml vs. 7.7 ± 7.3 ml for EDV, 5.5 ± 5.6 ml vs. 5.0 ± 5.9 ml for ESV, and 3.0 ± 2.7% vs. 2.1 ± 2.0% for EF (<it>p </it>= <it>NS</it>). The inter-observer variability of 4DLVQ vs. TomTec was 9.0 ± 5.9 ml vs. 17 ± 6.3 ml for EDV (<it>p </it>< 0.05), 5.0 ± 3.6 ml vs. 12 ± 7.7 ml for ESV (<it>p </it>< 0.05), and 2.7 ± 2.8% vs. 3.0 ± 2.1% for EF (<it>p </it>= <it>NS</it>).</p> <p>Conclusion</p> <p>In conclusion, the new analysis tool gives rapid and reproducible measurements of LV volumes and EF, with good agreement compared to another RT3DE volume quantification tool.</p
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Updated estimates of the costs associated with thirty four endemic livestock diseases in Great Britain: A note
This Note outlines the further development of a system of models for the estimation of the costs of livestock diseases first presented by Bennett (2003). The models have been developed to provide updated and improved estimates of the costs associated with 34 endemic diseases of livestock in Great Britain, using border prices and including assessments of the impact of diseases on human health and animal welfare. Results show that, of the diseases studied, mastitis has the highest costs for cattle diseases, enzootic abortion for sheep diseases, swine influenza for pig diseases and salmonellosis for poultry diseases
Initial assessment of protein and amino acid digestive dynamics in protein-rich feedstuffs for broiler chickens.
A study evaluating apparent digestibilities of protein and amino acids and their corresponding digestion rates in four small intestinal sites in broiler chickens was completed to further investigate dietary optimisation via synchronised nutrient digestion and absorption. A total of 288 male Ross 308 broiler chickens were offered semi-purified diets with eight protein-rich feedstuffs, including; blood meal (BM), plasma protein meal (PPM), cold pressed (CCM) and expeller-pressed (ECM) canola meal, high (SBM HCP) and low (SBM LCP) crude protein soybean meals, lupins and peas. Diets were iso-caloric, iso-nitrogenous and the test ingredient was the sole source of dietary nitrogen. Each diet was offered to 6 bioassay cages with 6 birds per cage from day 21 to 28 post hatch. On day 28, all birds were euthanized and digesta samples were collected from the proximal jejunum, distal jejunum, proximal ileum and distal ileum to determine apparent protein and amino acids digestibility coefficients, digestion rates and potential digestible protein and amino acids. Dietary protein source significantly influenced energy utilisation, nitrogen retention, apparent protein (N) digestibilities, digestion rates and potential digestible protein along the small intestine. Diets containing BM and SBM LCP exhibited the highest protein digestion rate and potential digestible protein, respectively. Digestibility coefficients and disappearance rates of the majority of amino acids in four sections of the small intestine were influenced by dietary protein source (P < 0.01) and blood meal had the fastest protein digestion rate. In general, jejunal amino acid and protein digestibilities were more variable in comparison to ileal digestibilities, and the differences in protein and amino acid disappearance rates were more pronounced between types of feedstuffs than sources of similar feedstuffs
What are scoping reviews? Providing a formal definition of scoping reviews as a type of evidence synthesis.
Evidence synthesis encompasses a broad range of review types and scoping reviews are an increasingly popular approach to synthesizing evidence in a number of fields. They sit alongside other evidence synthesis methodologies such as systematic reviews, qualitative evidence synthesis, realist synthesis and many more. Until now, scoping reviews have been variously defined in the literature. In this article, we provide the following formal definition for scoping reviews: Scoping reviews are a type of evidence synthesis that aims to systematically identify and map the breadth of evidence available on a particular topic, field, concept, or issue, often irrespective of source (i.e. primary research, reviews, non-empirical evidence) within or across particular contexts. Scoping reviews can clarify key concepts/definitions in the literature and identify key characteristics or factors related to a concept, including those related to methodological research
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The role of earthworm communities in soil mineral weathering in a field experiment
MINERALS are an important component of the soil
environment (Dixon et al., 1977). They provide a
structural framework which supports plants and
contribute to the physical heterogeneity of soil.
Minerals also contribute to the fertility of soils.
Primary minerals are a source of essential plant
nutrients (Harley and Gilkes, 2000). Clay
minerals impact on the water-holding capacity
of soils, affect the cation exchange capacity of
soils (Brown, 1977) and are able to sequester
nutrients and contaminants within the soil
(Dubbin, 2001).
Mineral weathering is an important process in
soils and releases nutrients from the mineral
structure into a form available for uptake by
plants (Harley and Gilkes, 2000). Mineral weathering
also increases the number of cation
exchange sites, which increases the fertility of
soils by improving nutrient retention. The weathering
of clay minerals and the expansion of clay
layers increases the water-holding capacity of
soils (Brown, 1977). Mineral weathering also
contributes to the pedological development of
soils. Pedologically old soils are highly weathered
and have a large proportion of clay minerals and a
small proportion of primary minerals (Dubbin,
2001). Highly weathered soils, such as those
found in the tropics, tend to be less fertile than
less weathered soils (Dubbin, 2001).
Earthworms are an important component of the
soil ecosystem and have been described as
ecosystem engineers because of the major role
they play in modifying the soil ecosystem (Lavelle
et al., 1997). They play a key role in modifying the
physical structure of soils by creating aggregates (Haynes and Fraser, 1998), creating pores which
increases infiltration and drainage (Lamande et al.,
2003) and contributing to the development of soil
horizons by the transport of material and
incorporation of organic matter (Marhan and
Scheu, 2006). Earthworms are also one of the
key drivers of decomposition, particularly in
temperate soil ecosystems by comminuting
organic matter and incorporating it into the soil
(McInerney and Bolger, 2000).
Mineral weathering is a biogeochemical
process in which organisms are intimately
involved. Previous studies have shown that
earthworms are capable of accelerating the
weathering of soil minerals (Suzuki et al., 2003;
Needham et al., 2004; Carpenter et al., 2007).
However, this important interaction between two
key components of the soil environment has not
previously been studied in a field situation. The
aim of this study was to evaluate the role of an
earthworm community in the weathering of a
primary mineral addition to a field soil
Adaptive-Focus Statistical Shape Model for Segmentation of 3D MR Structures
. This paper presents a deformable model for automatically segmenting objects from volumetric MR images and obtaining point correspondences, using geometric and statistical information in a hierarchical scheme. Geometric information is embedded into the model via an affine-invariant attribute vector, which characterizes the geometric structure around each model point from a local to a global level. Accordingly, the model deforms seeking boundary points with similar attribute vectors. This is in contrast to most deformable surface models, which adapt to nearby edges without considering the geometric structure. The proposed model is adaptive in that it initially focuses on the most reliable structures of interest, and subsequently switches focus to other structures as those become closer to their respective targets and therefore more reliable. The proposed techniques have been used to segment boundaries of the ventricles, the caudate nucleus, and the lenticular nucleus from v..
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