Search for dissertations about: "Data Vetenskap"

Showing result 6 - 10 of 221 swedish dissertations containing the words Data Vetenskap.

  2. 6. Hierarchical Concurrent Systems from a Model-Oriented perspective

    Author : Daniel Einarson; Data Vetenskap; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; control; systems; numerical analysis; Computer science; Distributed Systems; Hierarchical Systems; Object-Orientation; Model-Orientation; Datalogi; numerisk analys; system; kontroll; Systems engineering; computer technology; Data- och systemvetenskap;

    Abstract : Real world systems are normally considered as hierarchically organized, for example, we see those as hierarchies of systems including subsystems. Examples on this can be seen in organizations where people act in environments and carry within themselves their own internal subsystem of thinking processes. READ MORE

  4. 7. Chronic neck pain : An epidemiological, psychological and SPECT study with emphasis on whiplash-associated disorders

    Author : Michel Guez; Göran Toolanen; Björn Rydevik; Umeå universitet; []
    Keywords : LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; Prevalence of chronic neck pain; chronic low-back pain; whiplash; WAD; neuropsychology; Medicine; Medicin;

    Abstract : Chronic neck pain, a common cause of disability, seems to be the result of several interacting mechanisms. In addition to degenerative and inflammatory changes and trauma, psychological and psychosocial factors are also involved. READ MORE

  5. 8. Integrative Approaches in Shotgun Proteomics : From sample preparation to multifaceted data analysis

    Author : Mariya Nezhyva; Erik T. Jansson; Per Andrén; Gustaf Christoffersson; Jesper Velgaard Olsen; Uppsala universitet; []
    Keywords : bottom-up proteomics; thermal proteome profiling; mass-spectrometry imaging; data analysis; melanocortin receptor; Farmaceutisk vetenskap; Pharmaceutical Science;

    Abstract : Bottom-up proteomics mass-spectrometry gives an opportunity to shed light on var-ious biological aspects/characteristics such as protein composition, its modifications,interactions, and dynamics. Its applications span a wide range of biological sciencesaiming to eventually answer fundamental disease related questions or evaluate drugperformance and predict adverse effects. READ MORE

  6. 9. Indicators of mastitis and milk quality in dairy cows : data, modeling, and prediction in automatic milking systems

    Author : Dorota Anglart; Sveriges lantbruksuniversitet; Sveriges lantbruksuniversitet; []
    Keywords : LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES;

    Abstract : Methods for generating predictions of important and generally accepted indicators of udder inflammation and poor milk quality, such as somatic cell count (SCC) or changes in milk homogeneity, are few. The aim of this thesis was to investigate methods to identify indicators of mastitis and poor milk quality in dairy cows using data generated by automatic milking systems (AMS). READ MORE

  7. 10. Pharmacometric Investigations of Prediction Precision and Advances of Models for Composite Scale Data

    Author : Gustaf Wellhagen; Maria C. Kjellsson; Bengt Hamrén; Per Olsson Gisleskog; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; pharmacometrics; modelling; non-linear mixed effects modelling; composite scale data; total score data; total score analysis; precision prediction; bounded integer; bounded integer model; IRT-informed total score analysis; item response theory-informed; mixed models for repeated measures; MMRM; dose-response; dose-response mixed models for repeated measures; DR-MMRM; HbA1c models; fit-for-purpose analysis; clinical trial analysis; Farmaceutisk vetenskap; Pharmaceutical Science;

    Abstract : Clinical trials are needed to evaluate new treatments. In late-stage clinical trials, failures are mostly due to lack of efficacy. Fit-for-purpose analysis methods will likely increase the success rates and advance drug development by providing higher precision to support decisions such as go/no-go, dose selection, or sample size. READ MORE