904 research outputs found
Mathieson, K F, 37175
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/402102Surname: MATHIESON. Given Name(s) or Initials: K F. Military Service Number or Last Known Location: 37175. Missing, Wounded and Prisoner of War Enquiry Card Index Number: SEA-2035.221748
Item: [2016.0049.34395] "Mathieson, K F, 37175
Mathieson (Ma), J K W, [No Service Number]
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/402111Surname: MATHIESON (MA). Given Name(s) or Initials: J K W. Military Service Number or Last Known Location: [No Registration Number]. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 34161.221757
Item: [2016.0049.34404] "Mathieson (Ma), J K W, [No Service Number]
Small-crystal X-ray diffractometry with a crystal ante-monochromator: erratum
No full textIn the paper by Mathieson [Acta Cryst. (1985), A41, 309- 316] the definition of k given in the Abstract should read k = (Δλ/λ). </jats:p
Fortissat Science Alliance podcast: Layla Mathieson
No full textLayla Mathieson was an EPSRC/MRC OPTIMA CDT PhD student studying optical medical imaging alongside an integrated Masters in healthcare innovation and entrepreneurship at the University of Edinburgh. She took part in the Fortissat Science Alliance podcast recordings in September 2021.What is the Fortissat Science Alliance?The Fortissat Science Alliance was a Wellcome Trust & Children In Need "Curiosity" project. This scheme provided informal STEM learning opportunities for young people who attended the community centre Getting Better Together Shotts (GBT Shotts) between 2019 and 2023. Due to the COVID-19 pandemic, deliveries had to pivot online so the podcast was founded. These recordings were made via Zoom with warm-up STEM activities sent to every young person in advance, along with a profile page for each researcher, so that they were relaxed and able to ask excellent questions.Link to episode on Spotify.Depending on the broadcast date, podcast deliveries were co-sponsored by Glasgow Science Festival, EXPLORATHON 2021, or EXPLORATHON 2022/23.For the duration of the project, it was supported jointly by Children in Need and the Wellcome Trust. In 2021, EXPLORATHON episodes were supported by the European Commission [grant agreement ID 101036101]. In 2022-23, EXPLORATHON episodes were supported by the Engineering & Physical Sciences Research Council [grant number EP/X020894/1]. Layla was supported by the EPSRC/MRC Centre for Doctoral Training in Optical Medical Imaging (OPTIMA).Author contributions to contentLayla Mathieson was the guest featured on this episode. Rebecca Hay was the youth worker coordinating the young people who conducted the interviews as well as co-editing and broadcasting the recordings. Iain Hamilton co-edited the episodes. Kirsty Ross was the STEM consultant for the project and uploaded completed episodes to Figshare.</p
Mathieson Ranch, Philip SD, Haakon County
No full text7 x 5 photograph, a wooden wagon in front of a single-story building with three open stallsPhilip P117 S-H82.36 [stamp] Property of: South Dakota State Historical Society Pierre, South Dakota Give photo credit to: South Dakota State Historical Society. Sod House - Homestead Sod Roof (about 1900) One of the early day structures of cottonwood logs and sod roof at the K. W. Mathieson ranch on Bad River near Philip. Photo by Emma Meye
Imputed data from for predicting skeletal stature using ancient DNA
No full textThese are the three imputed genotype datasets from the following publication. Please consult the paper for details of the imputation approach, metadata for the samples, and the original data sources. These data are freely available but you should cite the original sources, as well as our paper.
Predicting skeletal stature using ancient DNA; Cox S, Moots HM, Stock JT, Shbat A, Bitarello B, Nicklisch N, Alt K, Haak W, Rosenstock E, Ruff CB, Mathieson I; American Journal of Biological Anthropology, Jan 2022. https://doi.org/10.1002/ajpa.2442
2019-00183R1_Production_Supplemental_Table_1_online_supp – Supplemental material for Effect of Different Proteinase K Digest Protocols and Deparaffinization Methods on Yield and Integrity of DNA Extracted From Formalin-fixed, Paraffin-embedded Tissue
No full textSupplemental material, 2019-00183R1_Production_Supplemental_Table_1_online_supp for Effect of Different Proteinase K Digest Protocols and Deparaffinization Methods on Yield and Integrity of DNA Extracted From Formalin-fixed, Paraffin-embedded Tissue by Zoe Frazer, Changyoung Yoo, Manveer Sroya, Camille Bellora, Brian L. DeWitt, Ignacio Sanchez, Geraldine A. Thomas and William Mathieson in Journal of Histochemistry & Cytochemistry</p
Hierarchical clustering using the arithmetic-harmonic cut: complexity and experiments.
Get PDFClustering, particularly hierarchical clustering, is an important method for understanding and analysing data across a wide variety of knowledge domains with notable utility in systems where the data can be classified in an evolutionary context. This paper introduces a new hierarchical clustering problem defined by a novel objective function we call the arithmetic-harmonic cut. We show that the problem of finding such a cut is NP-hard and APX-hard but is fixed-parameter tractable, which indicates that although the problem is unlikely to have a polynomial time algorithm (even for approximation), exact parameterized and local search based techniques may produce workable algorithms. To this end, we implement a memetic algorithm for the problem and demonstrate the effectiveness of the arithmetic-harmonic cut on a number of datasets including a cancer type dataset and a corona virus dataset. We show favorable performance compared to currently used hierarchical clustering techniques such as k-Means, Graclus and Normalized-Cut. The arithmetic-harmonic cut metric overcoming difficulties other hierarchical methods have in representing both intercluster differences and intracluster similarities
REGULATORY ROLE OF OX22HIGH T-CELLS IN MERCURY-INDUCED AUTOIMMUNITY IN THE BROWN NORWAY RAT
Get PDFThe monoclonal antibody OX22 defines a functional split within CD4+ T cells in the rat, with OX22high cells mainly producing interleukin 2 (IL-2) and interferon γ and responsible for delayed-type hypersensitivity responses, and OX22low cells mainly producing IL-4 and -5 and responsible for providing B cell help. There are reciprocal interactions between OX22high and OX22low cells, and it has been suggested that the OX22low subset has a role in the prevention of autoimmunity. We have used OX22 in vivo to define the role of these subsets in mercuric chloride-induced autoimmunity in the Brown Norway rat. In this model, there is polyclonal B cell activation and animals develop widespread tissue injury. Treatment of thymectomized animals with OX22 led to a profound reduction in the number of OX22high T cells in the peripheral blood. OX22-treated animals consistently developed more severe tissue injury than controls given an irrelevant antibody of the same isotype. Control animals pretreated with broad spectrum antimicrobial drugs showed milder tissue injury, but this protective effect of antimicrobials was lost in OX22-treated animals. Transfer of naive T cells to OX22-treated animals provided protection, but if T cells were depleted in vitro of OX22high cells before transfer, this effect was lost. These data provide evidence for a protective immunoregulatory role for OX22high T cells in mercuric chloride-induced autoimmunity.link_to_subscribed_fulltex
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