1,065 research outputs found

    Computer Simulation of Tooth Mobility using Varying Material Properties

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    Tooth mobility is the major cause of stress on a tooth implant or partial denture and often results in the damage of the device. For many prosthetic devices like dental bridges, a partial denture used for a person who is missing a tooth to give the appearance and function of a tooth, mobility can cause up to double the amount of stress in comparison to a fixed model. Creating a computer simulation of tooth mobility using Finite Element Analysis allows one to understand and predict this movement in order to improve future dental prosthetic devices. The main cause of tooth mobility within the mouth is the periodontal ligament (PDL). This ligament is a soft biological tissue that surrounds the roots of teeth. The tooth moves when a force like mastication, or chewing, causes the ligament to deform. This deformation is due to the small Young’s Modulus of the ligament. The Young’s Modulus determines the stiffness of a material. In the case of the PDL, the Young’s Modulus is sometimes noted to be 30,000 times smaller than that of dentin, this is the material that makes up the majority of the tooth, and of the alveolar bone, this is the bone in which the tooth lies. The deformation of the PDL is also due to the viscoelastic nature of the ligament. The major elastic component of the ligament is collagen, this material allows the PDL to stretch to a certain limit, and the major viscous component of the ligament is the interstitial fluid between the cells, this allows the material to have a fluid-like nature (4)

    MW 775 Christian Witness and Other Faiths

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    Richard Plantinga, ed. Christianity and Plurality: Classic and Contemporary Readings. Oxford: Blackwell, 1999. 379 pages. ISBN: 0-631-20915-8 (paperback) Wesley Pluralism Packet David Bosch. A Spirituality of the Road. Eugene, Oregon: Wipf and Stock, 2000 (1979). 92 pages. ISBN: 1-57910-795-8 (paperback) Paul Hiebert. Missiological Implications of Epistemological Shifts. Harrisburg, PA: Trinity Press, International, 1999. 135 pages. ISBN: 1-56338-259-8 (paperback)https://place.asburyseminary.edu/syllabi/2452/thumbnail.jp

    Early surgery versus initial conservative treatment in patients with traumatic intracerebral haemorrhage [STITCH(Trauma)] : the first randomized trial

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    Acknowledgements This project was funded by the NIHR Health Technology Assessment programme (project number 07/37/16). The views and opinions expressed therein are those of the authors and do not necessarily reflect those of the HTA programme, NIHR, NHS or the Department of Health.Peer reviewedPublisher PD

    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

    Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

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    This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin
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