467 research outputs found

    The life cycle greenhouse gas emissions of rendered products

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    The main research objectives were: (i) to quantify the greenhouse gas (GHG) emissions of rendered products, and (ii) to evaluate the effect of the inclusion of ingredients derived from terrestrial animal by - products (ABP) on the GHG emissions of animal diets. Generic life cycle assess ment methodology was used to study the main systems: category 1 and 3 mammalian rendering, on - farm broiler production, chicken meat processing, poultry rendering, and salmon feed production. UK industry data were collected to build the life cycle inventori es. The effect of fuels used (natural gas (NG) and rendered fat (RF)) in the rendering industry and alternative co - product handling approaches were investigated. GHG emissions calculated were −0.77 and 0.15 kg CO 2 e/kg category 1 and 3 mammalian rendered fa t respectively and 0.15 kg CO 2 e/kg mammalian processed animal protein (PAP) for the mean proportion of NG and RF. GHG emissions were 1.798 and 1.901 kgCO 2 e/kg live weight for ‘Standard’ and ‘Heavy’ broiler production systems respectively. GHG emissions wer e 3. 415 , 2.0 4 2, 3.4 95 , and 3. 257 kgCO 2 e/kg chicken meat using economic allocation, mass allocation, main product, and system expansion respectively. GHG emissions of poultry PAP were 0.3 25 and 1. 201 , 7. 555 and 8. 423 , - 0.178 and 0.698 kg CO 2 /kg for economic allocation, mass allocation, main product employed to partition between chicken meat and poultry ABP and for RF and NG respectively. The inclusion of poultry PAP instead of fish meal derived from reduction fisheries in salmon feed production resulted in h igher and lower GHG emissions when employing mass and economic allocation respectively. Economic allocation is an adequate co - product handling method for animal by - product systems because the driver for their production is the demand for the main commodity (edible meat products). The GHG emissions of rendered products were similar or low relative to marginal products such as palm oil and soya bean meal because (i) ABP have a low or null value and therefore incur low or zero emissions from their production, (ii) the rendering process produces biofuels that are used to offset the use of fossil fuels, and (iii) palm oil and soya bean incur emissions from agriculture and land transformation

    Parental childhood growth and offspring birthweight : Pooled analyses from four birth cohorts in low and middle income countries

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    Funding Information Bill and Melinda Gates Foundation. Grant Number: OPP1020058 Wellcome Trust 089257/Z/09/Z Contract grant sponsor: the National Heart, Lung and Blood Institute at National Institutes of Health. Grant Number: HHSN 268200900028C to the Center of Excellence – INCAP/ Guatemala; and Grand Challenges Canada (Grant number: 0072‐03 to the Grantee, The Trustees of the University of Pennsylvania)Peer reviewedPublisher PD

    Measurements of Six-Body Hadronic Decays of the D^0 Charmed Meson

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    Using data collected by the FOCUS experiment at Fermilab, we report the discovery of the decay modes D^0 --> K- pi+ pi+ pi+ pi- pi- and D^0 --> pi+ pi+ pi+ pi- pi- pi-. With a sample of 48 +/- 10 reconstructed D^0 --> K- pi+ pi+ pi+ pi- pi- decays and 149 +/- 17 reconstructed D^0 --> pi+ pi+ pi+ pi- pi- pi- decays, we measure the following relative branching ratios: Γ(D0Kπ+π+π+ππ)/Γ(D0Kπ+π+π)=(2.70±0.58±0.38)×103{\Gamma (D^0 \to K^- \pi^+ \pi^+ \pi^+ \pi^- \pi^-) / \Gamma (D^0 \to K^- \pi^+ \pi^+ \pi^-)} = (2.70 \pm 0.58 \pm 0.38) \times 10^{-3} Γ(D0π+π+π+πππ)/Γ(D0Kπ+π+π)=(5.23±0.59±1.35)×103{\Gamma (D^0 \to \pi^+ \pi^+ \pi^+ \pi^- \pi^- \pi^-) / \Gamma (D^0 \to K^- \pi^+ \pi^+ \pi^-)} = (5.23 \pm 0.59 \pm 1.35) \times 10^{-3} Γ(D0π+π+π+πππ)/Γ(D0Kπ+π+π+ππ)=1.93±0.47±0.48{\Gamma (D^0 \to \pi^+ \pi^+ \pi^+ \pi^- \pi^- \pi^-) / \Gamma (D^0 \to K^- \pi^+ \pi^+ \pi^+ \pi^- \pi^-)} = 1.93 \pm 0.47 \pm 0.48 The first errors are statistical and the second are systematic. The branching fraction of the Cabibbo suppressed six-body decay mode is measured to be a factor of two higher than the branching fraction of the Cabibbo favored six-body decay mode.Comment: To be submitted to Phys. Lett.

    Measurement of the Ratio of the Vector to Pseudoscalar Charm Semileptonic Decay Rate \Gamma(D+ > ANTI-K*0 mu+ nu)/\Gamma(D+ > ANTI-K0 mu+ nu)

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    Using a high statistics sample of photo-produced charm particles from the FOCUS experiment at Fermilab, we report on the measurement of the ratio of semileptonic rates \Gamma(D+ > ANTI-K pi mu+ nu)/\Gamma(D+ > ANTI-K0 mu+ nu)= 0.625 +/- 0.045 +/- 0.034. Allowing for the K pi S-wave interference measured previously by FOCUS, we extract the vector to pseudoscalar ratio \Gamma(D+ > ANTI-K*0 mu+ nu)/\Gamma(D+ > ANTI-K0 mu+ nu)= 0.594 +/- 0.043 +/- 0.033 and the ratio \Gamma(D+ > ANTI-K0 mu+ nu)/\Gamma(D+ > K- pi+ pi+)= 1.019 +/- 0.076 +/- 0.065. Our results show a lower ratio for \Gamma(D > K* \ell nu})/\Gamma(D > K \ell nu) than has been reported recently and indicate the current world average branching fractions for the decays D+ >ANTI-K0(mu+, e+) nu are low. Using the PDG world average for B(D+ > K- pi+ pi+) we extract B(D+ > ANIT-K0 mu+ nu)=(9.27 +/- 0.69 +/- 0.59 +/- 0.61)%.Comment: 15 pages, 1 figur

    The butterflies of Barro Colorado Island, Panama: local extinction since the 1930s

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    Few data are available about the regional or local extinction of tropical butterfly species.When confirmed, local extinction was often due to the loss of host-plant species. We usedpublished lists and recent monitoring programs to evaluate changes in butterfly compositionon Barro Colorado Island (BCI, Panama) between an old (1923–1943) and a recent (1993–2013) period. Although 601 butterfly species have been recorded from BCI during the1923–2013 period, we estimate that 390 species are currently breeding on the island,including 34 cryptic species, currently only known by their DNA Barcode Index Number.Twenty-three butterfly species that were considered abundant during the old period couldnot be collected during the recent period, despite a much higher sampling effort in recenttimes. We consider these species locally extinct from BCI and they conservatively represent6% of the estimated local pool of resident species. Extinct species represent distant phylo-genetic branches and several families. The butterfly traits most likely to influence the proba-bility of extinction were host growth form, wing size and host specificity, independently ofthe phylogenetic relationships among butterfly species. On BCI, most likely candidates forextinction were small hesperiids feeding on herbs (35% of extinct species). However, con-trary to our working hypothesis, extinction of these species on BCI cannot be attributed toloss of host plants. In most cases these host plants remain extant, but they probably subsistat lower or more fragmented densities. Coupled with low dispersal power, this reducedavailability of host plants has probably caused the local extinction of some butterfly species.Many more bird than butterfly species have been lost from BCI recently, confirming thatsmall preserves may be far more effective at conserving invertebrates than vertebrates and,therefore, should not necessarily be neglected from a conservation viewpoin

    Using verbal autopsy to measure causes of death: the comparative performance of existing methods

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    Background: Monitoring progress with disease and injury reduction in many populations will require widespread use of verbal autopsy (VA). Multiple methods have been developed for assigning cause of death from a VA but their application is restricted by uncertainty about their reliability. Methods: We investigated the validity of five automated VA methods for assigning cause of death: InterVA-4, Random Forest (RF), Simplified Symptom Pattern (SSP), Tariff method (Tariff), and King-Lu (KL), in addition to physician review of VA forms (PCVA), based on 12,535 cases from diverse populations for which the true cause of death had been reliably established. For adults, children, neonates and stillbirths, performance was assessed separately for individuals using sensitivity, specificity, Kappa, and chance-corrected concordance (CCC) and for populations using cause specific mortality fraction (CSMF) accuracy, with and without additional diagnostic information from prior contact with health services. A total of 500 train-test splits were used to ensure that results are robust to variation in the underlying cause of death distribution. Results: Three automated diagnostic methods, Tariff, SSP, and RF, but not InterVA-4, performed better than physician review in all age groups, study sites, and for the majority of causes of death studied. For adults, CSMF accuracy ranged from 0.764 to 0.770, compared with 0.680 for PCVA and 0.625 for InterVA; CCC varied from 49.2% to 54.1%, compared with 42.2% for PCVA, and 23.8% for InterVA. For children, CSMF accuracy was 0.783 for Tariff, 0.678 for PCVA, and 0.520 for InterVA; CCC was 52.5% for Tariff, 44.5% for PCVA, and 30.3% for InterVA. For neonates, CSMF accuracy was 0.817 for Tariff, 0.719 for PCVA, and 0.629 for InterVA; CCC varied from 47.3% to 50.3% for the three automated methods, 29.3% for PCVA, and 19.4% for InterVA. The method with the highest sensitivity for a specific cause varied by cause. Conclusions: Physician review of verbal autopsy questionnaires is less accurate than automated methods in determining both individual and population causes of death. Overall, Tariff performs as well or better than other methods and should be widely applied in routine mortality surveillance systems with poor cause of death certification practices. © 2014 Murray et al.; licensee BioMed Central Ltd

    An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

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    For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale. Analysis of clinicopathologic annotations for over 11,000 cancer patients in the TCGA program leads to the generation of TCGA Clinical Data Resource, which provides recommendations of clinical outcome endpoint usage for 33 cancer types

    Genome-wide meta-analysis of myopia and hyperopia provides evidence for replication of 11 loci

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    Refractive error (RE) is a complex, multifactorial disorder characterized by a mismatch between the optical power of the eye and its axial length that causes object images to be focused off the retina. The two major subtypes of RE are myopia (nearsightedness) and hyperopia (farsightedness), which represent opposite ends of the distribution of the quantitative measure of spherical refraction. We performed a fixed effects meta-analysis of genome-wide association results of myopia and hyperopia from 9 studies of European-derived populations: AREDS, KORA, FES, OGP-Talana, MESA, RSI, RSII, RSIII and ERF. One genome-wide significant region was observed for myopia, corresponding to a previously identified myopia locus on 8q12 (p = 1.25610-8), which has been reported by Kiefer et al. as significantly associated with myopia age at onset and Verhoeven et al. as significantly associated to mean spherical-equivalent (MSE) refractive error. We observed two genomewide significant association

    GWAS analysis of handgrip and lower body strength in older adults in the CHARGE consortium

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    Decline in muscle strength with aging is an important predictor of health trajectory in the elderly. Several factors, including genetics, are proposed contributors to variability in muscle strength. To identify genetic contributors to muscle strength, a meta-analysis of genomewide association studies of handgrip was conducted. Grip strength was measured using a handheld dynamometer in 27 581 individuals of European descent over 65 years of age from 14 cohort studies. Genomewide association analysis was conducted on ~2.7 million imputed and genotyped variants (SNPs). Replication of the most significant findings was conducted using data from 6393 individuals from three cohorts. GWAS of lower body strength was also characterized in a subset of cohorts. Two genomewide significant (P-value< 5 × 10−8) and 39 suggestive (P-value< 5 × 10−5) associations were observed from meta-analysis of the discovery cohorts. After meta-analysis with replication cohorts, genomewide significant association was observed for rs752045 on chromosome 8 (β = 0.47, SE = 0.08, P-value = 5.20 × 10−10). This SNP is mapped to an intergenic region and is located within an accessible chromatin region (DNase hypersensitivity site) in skeletal muscle myotubes differentiated from the human skeletal muscle myoblasts cell line. This locus alters a binding motif of the CCAAT/enhancer-binding protein-β (CEBPB) that is implicated in muscle repair mechanisms. GWAS of lower body strength did not yield significant results. A common genetic variant in a chromosomal region that regulates myotube differentiation and muscle repair may contribute to variability in grip strength in the elderly. Further studies are needed to uncover the mechanisms that link this genetic variant with muscle strength
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