52 research outputs found

    WHITE PAPER: Environmental Scan for DataONE

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    This environmental scan (conducted by the U&AWG in fall 2018) features a multi-faceted analysis of projects/initiatives in the DataONE space. This report (1) provides context by identifying organizations in the data space; (2) analyzes those organizations most similar to DataONE regarding key services and products; and (3) explores the data training/education environment. As appropriate, the report offers key insights derived from the analysis

    What Will Parents Pay for Hands-on Ocean Conservation and Stewardship Education?

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    Supported by the National Marine Sanctuary Foundation, the Ocean Guardian School (OGS) program is a federally funded grant program coordinated by the National Oceanic and Atmospheric Administration (NOAA) Office of National Marine Sanctuaries. OGS supports the educational goals of national marine sanctuaries (NMS) by funding hands-on ocean conservation and stewardship programs in both public and private schools. Schools apply for grants (up to $4,000) to implement school- or community-based conservation projects to educate students, while contributing to the health and protection of local watersheds and the world’s ocean. This study is the first to estimate the value that parents have for their child’s participation in an ocean conservation and stewardship program. Using a contingent choice survey, changes to student behaviour, parents’ support for the OGS program and the non-market economic value to parents of the six program attributes are estimated

    AccuTyping: new algorithms for automated analysis of data from high-throughput genotyping with oligonucleotide microarrays

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    Microarray-based analysis of single nucleotide polymorphisms (SNPs) has many applications in large-scale genetic studies. To minimize the influence of experimental variation, microarray data usually need to be processed in different aspects including background subtraction, normalization and low-signal filtering before genotype determination. Although many algorithms are sophisticated for these purposes, biases are still present. In the present paper, new algorithms for SNP microarray data analysis and the software, AccuTyping, developed based on these algorithms are described. The algorithms take advantage of a large number of SNPs included in each assay, and the fact that the top and bottom 20% of SNPs can be safely treated as homozygous after sorting based on their ratios between the signal intensities. These SNPs are then used as controls for color channel normalization and background subtraction. Genotype calls are made based on the logarithms of signal intensity ratios using two cutoff values, which were determined after training the program with a dataset of ∼160 000 genotypes and validated by non-microarray methods. AccuTyping was used to determine >300 000 genotypes of DNA and sperm samples. The accuracy was shown to be >99%. AccuTyping can be downloaded from

    Environmental Justice and the Role of Criminology: An Analytical Review of 33 Years of Environmental Justice Research

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    An increasing number of scholars and activists have begun to tackle a variety of issues relevant to environmental justice studies. This study attempts to address the role of criminologists in this domain. The authors examine 425 environmental justice articles in 204 academic journals, representing 18 programs/departments between 1970 and 2003. First, they measure the environmental justice contributions in the literature by academic department or activist affiliation. Second, they identify the major themes in the literature as they have developed and reveal the current and future directions of environmental justice studies. Such themes include the spatial distribution of hazards, social movements, law and public policy, and environmental discrimination. Finally, the authors seek to call attention to the evident linkages between accepted areas of criminological scholarship and environmental justice. From this latter objective, the authors seek to demonstrate how criminology and criminal justice can advance this critical dialogue and social movement

    Predictive Genes in Adjacent Normal Tissue Are Preferentially Altered by sCNV during Tumorigenesis in Liver Cancer and May Rate Limiting

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    Background: In hepatocellular carcinoma (HCC) genes predictive of survival have been found in both adjacent normal (AN) and tumor (TU) tissues. The relationships between these two sets of predictive genes and the general process of tumorigenesis and disease progression remains unclear. Methodology/Principal Findings: Here we have investigated HCC tumorigenesis by comparing gene expression, DNA copy number variation and survival using ~250 AN and TU samples representing, respectively, the pre-cancer state, and the result of tumorigenesis. Genes that participate in tumorigenesis were defined using a gene-gene correlation meta-analysis procedure that compared AN versus TU tissues. Genes predictive of survival in AN (AN-survival genes) were found to be enriched in the differential gene-gene correlation gene set indicating that they directly participate in the process of tumorigenesis. Additionally the AN-survival genes were mostly not predictive after tumorigenesis in TU tissue and this transition was associated with and could largely be explained by the effect of somatic DNA copy number variation (sCNV) in cis and in trans. The data was consistent with the variance of AN-survival genes being rate-limiting steps in tumorigenesis and this was confirmed using a treatment that promotes HCC tumorigenesis that selectively altered AN-survival genes and genes differentially correlated between AN and TU. Conclusions/Significance: This suggests that the process of tumor evolution involves rate-limiting steps related to the background from which the tumor evolved where these were frequently predictive of clinical outcome. Additionally treatments that alter the likelihood of tumorigenesis occurring may act by altering AN-survival genes, suggesting that the process can be manipulated. Further sCNV explains a substantial fraction of tumor specific expression and may therefore be a causal driver of tumor evolution in HCC and perhaps many solid tumor types. © 2011 Lamb et al.published_or_final_versio

    Populations of planets in multiple star systems

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    Astronomers have discovered that both planets and binaries are abundant throughout the Galaxy. In combination, we know of over 100 planets in binary and higher-order multi-star systems, in both circumbinary and circumstellar configurations. In this chapter we review these findings and some of their implications for the formation of both stars and planets. Most of the planets found have been circumstellar, where there is seemingly a ruinous influence of the second star if sufficiently close (<50 AU). Hosts of hot Jupiters have been a particularly popular target for binary star studies, showing an enhanced rate of stellar multiplicity for moderately wide binaries (>100 AU). This was thought to be a sign of Kozai-Lidov migration, however recent studies have shown this mechanism to be too inefficient to account for the majority of hot Jupiters. A couple of dozen circumbinary planets have been proposed around both main sequence and evolved binaries. Around main sequence binaries there are preliminary indications that the frequency of gas giants is as high as those around single stars. There is however a conspicuous absence of circumbinary planets around the tightest main sequence binaries with periods of just a few days, suggesting a unique, more disruptive formation history of such close stellar pairs.Comment: Invited review chapter, accepted for publication in "Handbook of Exoplanets", ed. H. Deeg & J. A. Belmont

    Mechanism of KMT5B haploinsufficiency in neurodevelopment in humans and mice.

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    Pathogenic variants in KMT5B, a lysine methyltransferase, are associated with global developmental delay, macrocephaly, autism, and congenital anomalies (OMIM# 617788). Given the relatively recent discovery of this disorder, it has not been fully characterized. Deep phenotyping of the largest (n = 43) patient cohort to date identified that hypotonia and congenital heart defects are prominent features that were previously not associated with this syndrome. Both missense variants and putative loss-of-function variants resulted in slow growth in patient-derived cell lines. KMT5B homozygous knockout mice were smaller in size than their wild-type littermates but did not have significantly smaller brains, suggesting relative macrocephaly, also noted as a prominent clinical feature. RNA sequencing of patient lymphoblasts and Kmt5b haploinsufficient mouse brains identified differentially expressed pathways associated with nervous system development and function including axon guidance signaling. Overall, we identified additional pathogenic variants and clinical features in KMT5B-related neurodevelopmental disorder and provide insights into the molecular mechanisms of the disorder using multiple model systems
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