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Visar resultat 1 - 5 av 178 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Vertical movement asymmetries in 3-year-old SWB horses and their associations with scores in Young Horse Tests

    Master-uppsats, SLU/Dept. of Anatomy, Physiology and Biochemistry

    Författare :Anna Kallings Larsson; [2024]
    Nyckelord :orthopaedic health; objective gait assessment; conformation; linear profiling; movement asymmetry; artificial intelligence; computer vision; Swedish Warmblood;

    Sammanfattning : To improve equine performance and welfare, many attempts have been made to investigate associations between performance, longevity, orthopaedic health, conformation and talent. Causal relationships between these qualities supported by strong scientific evidence are lacking. LÄS MER

  3. 2. Power Profiling: Understanding the Impact of CPU Workloads on Container and Virtual Machine Power Efficiency

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Johan Huusko; [2024]
    Nyckelord :;

    Sammanfattning : Data centers power consumption represent a substantial amount of the global power consumption. While hardware has improved over the years, this study focuses on the software side of optimization, looking at the power consumption differences in containers and virtual machines. LÄS MER

  4. 3. Front-end of a Debugger for Compiled Programs in Haskell

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Andreas Olsson; Carl Bergman; Brage Salhus Bunk; Elias Johansson; Krešimir Popovic; [2023-03-03]
    Nyckelord :Haskell; debugger; debug; heap; lazy evaluation; functional programming; GHC;

    Sammanfattning : There are debugging tools available for Haskell programs today, but despite providing help for developers, these tools are not widely used in the Haskell community. Current debugging tools for Haskell have different kinds of limitations. This thesis will discuss the implementation of a new debugger with a graphical interface. LÄS MER

  5. 4. Creating a High-Throughput Workflow for Automated Peptide Characterization using LC-MS

    Master-uppsats, Lunds universitet/Centrum för analys och syntes

    Författare :Sara Forsberg; [2023]
    Nyckelord :High-throughput analysis; Impurity profiling; UHPLC-HRMS; Peptide characterization; Peptide descriptors; Analytical chemistry; Technology and Engineering;

    Sammanfattning : In the early stage of a drug discovery project, there is a need for efficient methods that can analyse peptides in short time. This includes methods that confirm the peptide’s identity and estimates its relative purity in an efficient and reliable way. LÄS MER

  7. 5. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction

    Master-uppsats, Uppsala universitet/Nationellt resurscentrum för biologi och bioteknik

    Författare :Erik Everett Palm; [2023]
    Nyckelord :bioinformatics; deep learning; machine learning; joint model; tabular data; image data;

    Sammanfattning : The rapid progress in high-throughput omics methods and high-resolution morphological profiling, coupled with the significant advances in machine learning (ML) and deep learning (DL), has opened new avenues for tackling the notoriously difficult problem of predicting the Mechanism of Action (MoA) for a drug of clinical interest. Understanding a drug's MoA can enrich our knowledge of its biological activity, shed light on potential side effects, and serve as a predictor of clinical success. LÄS MER