38 research outputs found

    Anomaly Detection in the Molecular Structure of Gallium Arsenide Using Convolutional Neural Networks

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    This paper concerns the development of a machine learning tool to detect anomalies in the molecular structure of Gallium Arsenide. We employ a combination of a CNN and a PCA reconstruction to create the model, using real images taken with an electron microscope in training and testing. The methodology developed allows for the creation of a defect detection model, without any labeled images of defects being required for training. The model performed well on all tests under the established assumptions, allowing for reliable anomaly detection. To the best of our knowledge, such methods are not currently available in the open literature; thus, this work fills a gap in current capabilities

    Funder-Initiated Communities of Practice as a Means for Sharing and Creating Knowledge in Order to Strengthen the Adaptive Capacity of Systems

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    Planned communities of practice can be an effective means to spread and create knowledge. This article explores the degree to which communities of practice can be initiated by funders, and presents the lessons learned and outcomes achieved from the long-term commitment to this concept by the McKnight Foundation\u27s Collaborative Crop Research Program. This article provides a novel contribution to the literature by showing that a funder can initiate, support, and participate in a community of practice comprised of its grantees, which can succeed in sharing and creating knowledge. Factors that organizations should consider when investigating this concept include long-term investment in convenings and facilitation, as well as relinquishing some control over outcomes. Research shows that the McKnight program\u27s communities of practice have provided a space for various actors in Africa and the Andes region to develop adaptive capacity related to food system research and action through social learning. As funders increasingly look outside of the traditional logic of projects to explore how they can contribute to enabling long-term conditions and capacity for change and adaptation, well-supported and facilitated communities of practice offer a promising approach

    Larval performance and adult attraction of Delia platura (Diptera: Anthomyiidae) in a native and an introduced crop

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    Delia platura Meigen is an important pest in crops around the world. Its host range includes almost 50 species and it can develop in soil organic matter. In Ecuador, D. platura is a serious problem for the crop, Lupinus mutabilis Sweet (Chocho) and it also attacks broccoli (Brassica oleracea). After broccoli is harvested, crop residue is mixed with soil or collected and stored close to Chocho fields. The objectives of this study were to determine the adaptive responses of larvae reared on different hosts and whether D. platura females are preferentially attracted to germinating L. mutabilis seeds or broccoli residue. Accordingly, larval performance and attraction of female D. platura reared on broccoli residue and L. mutabilis seeds were evaluated. The number of larvae, pupae and adults were higher when reared on broccoli. Conversely, pupal weight was higher and time from larva to pupa, pupa to adult and total life cycle were longer in flies reared on L. mutabilis. Although D. platura developed more quickly on broccoli, L. mutabilis was also a good host since pupae were heavier compared with flies reared on broccoli. Delia platura females reared on broccoli preferred broccoli residue to L. mutabilis in an olfactometer. Volatiles from broccoli residue in soil may attract D. platura females and stimulate oviposition on L. mutabilis seeds. Environmentally benign production of L. mutabilis crops with minimal insecticide applications may require the elimination of fresh broccoli residue as fertilizer in soils where L. mutabilis is cultivated

    Identification of a novel susceptibility locus at 13q34 and refinement of the 20p12.2 region as a multi-signal locus associated with bladder cancer risk in individuals of european ancestry

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    Candidate gene and genome-wide association studies (GWAS) have identified 15 independent genomic regions associated with bladder cancer risk. In search for additional susceptibility variants, we followed up on four promising single-nucleotide polymorphisms (SNPs) that had not achieved genome-wide significance in 6911 cases and 11 814 controls (rs6104690, rs4510656, rs5003154 and rs4907479, P < 1 7 10(-6)), using additional data from existing GWAS datasets and targeted genotyping for studies that did not have GWAS data. In a combined analysis, which included data on up to 15 058 cases and 286 270 controls, two SNPs achieved genome-wide statistical significance: rs6104690 in a gene desert at 20p12.2 (P = 2.19 7 10(-11)) and rs4907479 within the MCF2L gene at 13q34 (P = 3.3 7 10(-10)). Imputation and fine-mapping analyses were performed in these two regions for a subset of 5551 bladder cancer cases and 10 242 controls. Analyses at the 13q34 region suggest a single signal marked by rs4907479. In contrast, we detected two signals in the 20p12.2 region-the first signal is marked by rs6104690, and the second signal is marked by two moderately correlated SNPs (r(2) = 0.53), rs6108803 and the previously reported rs62185668. The second 20p12.2 signal is more strongly associated with the risk of muscle-invasive (T2-T4 stage) compared with non-muscle-invasive (Ta, T1 stage) bladder cancer (case-case P 64 0.02 for both rs62185668 and rs6108803). Functional analyses are needed to explore the biological mechanisms underlying these novel genetic associations with risk for bladder cancer

    Identification of a novel susceptibility locus at 13q34 and refinement of the 20p12.2 region as a multi-signal locus associated with bladder cancer risk in individuals of european ancestry

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