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  • The nature and substance of communication in music teacher evaluation 

    Harris, Sheila J. (2020)
    The purpose of this study was to deconstruct the communication that occurs in the post-observation conference in music teacher evaluation. If music teachers and evaluators are to communicate effectively, demonstrate and ...
  • Brain function and clinical characterization in the Boston adolescent neuroimaging of depression and anxiety study 

    Hubbard, N. A.; Siless, V.; Frosch, I. R.; Goncalves, M.; Lo, N.; Wang, J.; Bauer, C. C. C.; Conroy, K.; Cosby, E.; Hay, A.; Jones, Rosanna; Pinaire, M.; Vaz De Souza, F.; Vergara, G.; Ghosh, S.; Henin, A.; Hirshfeld-Becker, D. R.; Hofmann, Stefan G.; Rosso, I. M.; Auerbach, R. P.; Pizzagalli, D. A.; Yendiki, A.; Gabrieli, J. D. E.; Whitfield-Gabrieli, S. (2020-03-12)
    We present a Human Connectome Project study tailored toward adolescent anxiety and depression. This study is one of the first studies of the Connectomes Related to Human Diseases initiative and is collecting structural, ...
  • Quantum hydrodynamics in spin chains with phase space methods 

    Polkovnikov, Anatoli; Wurtz, Jonathan (2020-05-15)
    Connecting short time microscopic dynamics with long time hydrodynamics in strongly correlated quantum systems is one of the outstanding questions. In particular, it is very difficult to determine various hydrodynamic ...
  • A large peptidome dataset improves HLA class I epitope prediction across most of the human population 

    Sarkizova, Siranush; Klaeger, Susan; Le, Phuong M.; Li, Letitia W.; Oliveira, Giacomo; Keshishian, Hasmik; Hartigan, Christina R.; Zhang, Wandi; Braun, David A.; Ligon, Keith L.; Bachireddy, Pavan; Zervantonakis, Ioannis K.; Rosenbluth, Jennifer M.; Ouspenskaia, Tamara; Law, Travis; Justesen, Sune; Stevens, Jonathan; Lane, William J.; Eisenhaure, Thomas; Lan Zhang, Guang; Clauser, Karl R.; Hacohen, Nir; Carr, Steven A.; Wu, Catherine J.; Keskin, Derin B. (2020-02)
    Prediction of HLA epitopes is important for the development of cancer immunotherapies and vaccines. However, current prediction algorithms have limited predictive power, in part because they were not trained on high-quality ...
  • Mechanical MNIST - Multi-Fidelity 

    Lejeune, Emma (2020-07)
    Each dataset in the Mechanical MNIST collection contains the results of 70,000 (60,000 training examples + 10,000 test examples) finite element simulation of a heterogeneous material subject to large deformation. Mechanical ...
  • Active learning for efficient microfluidic design automation 

    McIntyre, David; Lashkaripour, Ali; Densmore, Douglas (IWBDA, 2020-08-03)
    Droplet microfluidics has the potential to eliminate the testing bottleneck in synthetic biology by screening biological samples encapsulated in water-in-oil emulsions at unprecedented throughput. Sophisticated screens ...
  • Efficient large-scale microfluidic design-space exploration: from data to model to data 

    Lashkaripour, Ali; McIntyre, David; Densmore, Douglas (IWBDA, 2020-08-03)
    Droplet microfluidics is well poised to improve the gold standard in many fields such as synthetic biology. However, the lack of available design automation tools that can create a microfluidic droplet generator based on ...
  • Applicability of deep learning for mandibular growth prediction 

    Jiwa, Safeer (2020)
    OBJECTIVES: Cephalometric analysis is a tool used in orthodontics for craniofacial growth assessment. Magnitude and direction of mandibular growth pose challenges that may impede successful orthodontic treatment. Accurate ...
  • Effects of comprehensive orthodontic treatment with distalization of maxillary molars on the mandibular dentition 

    Wu, Lihsin (2020)
    INTRODUCTION: Non-extraction Class II malocclusion treatments often employ the use of maxillary dentition distalization mechanics. The rationale behind these mechanics is to treat the sagittal position of the maxillary ...
  • Associations and trends between chronic diseases and tooth loss – BRFSS, 2012-2018 

    Singh, Preeti (2020)
    OBJECTIVE: To examine associations and trends between chronic diseases and tooth loss using BRFSS 2012-2018. METHODS: Self-reported permanent tooth loss from tooth decay/gum disease and several self-reported chronic ...

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