Sökning: "Carl Holmgren"

Visar resultat 1 - 5 av 6 avhandlingar innehållade orden Carl Holmgren.

  1. 1. Dialogue Lost? Teaching Musical Interpretation of Western Classical Music in Higher Education

    Författare :Carl Holmgren; Cecilia Ferm Almqvist; Live Weider Ellefsen; Rosa Reitsamer; Luleå tekniska universitet; []
    Nyckelord :HUMANITIES; HUMANIORA; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SAMHÄLLSVETENSKAP; HUMANIORA; SOCIAL SCIENCES; HUMANITIES; Musical interpretation; higher music education; Western classical music; teaching and learning; one-to-one tuition; hermeneutics; poetry; Music Education; Musikpedagogik;

    Sammanfattning : The aim of this thesis is to contribute to a better understanding of musical interpretation in teaching and learning Western classical music from both a teacher’s and student’s perspective within the context of piano main instrument teaching in higher music education in Sweden. The following research questions were formulated to fulfil this aim: first, how do teachers and students understand musical interpretation as educational content?; second, how do teachers and students understand teaching and learning of musical interpretation?; third and finally, how could verbal and musical dialogues be used for improving teaching and learning of musical interpretation?The thesis employs an overarching hermeneutical framework and consists of three movements. LÄS MER

  3. 2. Neocortical layer 2/3 microcircuits

    Författare :Carl Holmgren; Karolinska Institutet; Karolinska Institutet; []
    Nyckelord :Neocortical microcircuit; layer 2 3; pyramidal cell; FSN interneuron; retrograde signaling; VGLUT3; spike-timing dependent plasticity; LTP; LTD.;

    Sammanfattning : Pairs of interconnected neurons form elementary information processing units within neocortical microcircuits. Pyramidal cells within these microcircuits receive synaptic input, both from their connected partners, and from more distant cortical and sub-cortical regions. Consequently, they require a means to identify relevant synaptic signals. LÄS MER

  4. 3. Using Markov models and a stochastic Lipschitz condition for genetic analyses

    Författare :Carl Nettelblad; Sverker Holmgren; José M. Álvarez-Castro; Uppsala universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURAL SCIENCES; NATURAL SCIENCES; Beräkningsvetenskap; Scientific Computing;

    Sammanfattning : A proper understanding of biological processes requires an understanding of genetics and evolutionary mechanisms. The vast amounts of genetical information that can routinely be extracted with modern technology have so far not been accompanied by an equally extended understanding of the corresponding processes. LÄS MER

  5. 4. Two Optimization Problems in Genetics : Multi-dimensional QTL Analysis and Haplotype Inference

    Författare :Carl Nettelblad; Sverker Holmgren; José M. Álvarez-Castro; Jukka Corander; Uppsala universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURAL SCIENCES; NATURAL SCIENCES; quantitative trait loci; genome-wide association studies; hidden Markov models; numerical optimization; linkage analysis; haplotype inference; genotype imputation; high performance computing;

    Sammanfattning : The existence of new technologies, implemented in efficient platforms and workflows has made massive genotyping available to all fields of biology and medicine. Genetic analyses are no longer dominated by experimental work in laboratories, but rather the interpretation of the resulting data. LÄS MER

  7. 5. Methods from Statistical Computing for Genetic Analysis of Complex Traits

    Författare :Behrang Mahjani; Sverker Holmgren; Lars Rönnegård; Carl Nettelblad; Silvia Delgado Olabarriaga; Uppsala universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURAL SCIENCES; Statistical Computing; QTL mapping; Global Optimization; Linear Mixed Models; Scientific Computing; Beräkningsvetenskap;

    Sammanfattning : The goal of this thesis is to explore, improve and implement some advanced modern computational methods in statistics, focusing on applications in genetics. The thesis has three major directions.First, we study likelihoods for genetics analysis of experimental populations. LÄS MER