Browsing 2020 MU dissertations - Access restricted to UM by Title

Now showing items 3-22 of 43

    Title
    The blue light responses and lifetime fitness of a hyper-phototropic mutant in Arabidopsis thaliana and Zea mays [1]
    Catch-up innovation in emerging market multinationals [1]
    A child sentenced to serve life without a mother : the Girl Scouts Beyond Bars program and incarcerated women's mothering strategies [1]
    Consequences of plant water limitation for aphids, their natural enemies, and insect communities [1]
    Curvilinear segmentation and classification of blood vessels using random forest and deep learning [1]
    Deep learning for small object detection in images [1]
    Distributing leadership to leaders [1]
    Epsilon multiplicity for graded algebras [1]
    Food 'four' thought : examining sigma-1 receptor antagonist PD144418 on food reinforced behaviors [1]
    Frames with desired angle properties [1]
    Frobenius closure and prime characteristic singularities [1]
    "I can speak for myself." : #whitewednesdays, Iranian feminism, and hijab in media discourse [1]
    Impact level of entry on completion rates and GPA of technical education students at a Midwest community college [1]
    Initial evaluation of a mental health literacy intervention : mental health care in schools [1]
    Interpretable spectrum machine learning methods for materials identification and heat transfer tubes failure detection [1]
    Investigating increased shear stress and physical activity as strategies to improve vascular insulin sensitivity [1]
    Investigating variables which predict the presence and severity of aggression and self-injurious behavior in children with autism spectrum disorder [1]
    An investigation of the perception of factors associated with daily living activities of comprehensive psychiatric rehabilitation consumers [1]
    Investment in couple relationship education as a key in the process of change : received dosage, active application, and motivation for attending [1]
    Material property prediction and structural inverse design with modern deep learning techniques [1]