Sökning: "A Adler"

Visar resultat 1 - 5 av 13 avhandlingar innehållade orden A Adler.

  1. 1. Bromsstråleinducerade reaktioner i ⁹Be och ¹⁶O

    Författare :Jan-Olof Adler; Kärnfysik; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Fysicumarkivet A:000; Fysicumarkivet A:1971:Adler;

    Sammanfattning : [abstract missing].... LÄS MER

  2. 2. Western economic warfare 1947-1967 : a case study in foreign economic policy

    Författare :Gunnar Adler-Karlsson; Stockholms universitet; []
    Nyckelord :SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES;

    Sammanfattning : .... LÄS MER

  3. 3. Strategies for Miniaturized Biomarker Detection

    Författare :Belinda Adler; Avdelningen för Biomedicinsk teknik; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; biomarker; miniturization; lab-on-a-chip; proteomics; PSA; microarray; mass spectrometry; MALDI MS; SPE; sample preparation; immunoaffinity; antibody; aptamer; mass tag; ISET.;

    Sammanfattning : The aim of this thesis is development and application of different miniaturized strategies for detection of biomarkers. The biomarker PSA (prostate specific antigen), which is prostate cancer specific, has been the main focus of the thesis. LÄS MER

  4. 4. Measurement of mania and depression

    Författare :Mats Adler; Karolinska Institutet; Karolinska Institutet; []
    Nyckelord :MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP;

    Sammanfattning : Background: In psychiatry, the assessment of symptom severity is being increasingly assisted by rating scales, in clinical practice as well as in research and quality control. Transforming the subjective symptoms of psychiatric disorders into valid numerical measures is subjected to numerous confounding factors. LÄS MER

  5. 5. Data-driven Methods in Inverse Problems

    Författare :Jonas Adler; Ozan Öktem; Thomas Pock; KTH; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Inverse Problems; Machine Learning; Tomography;

    Sammanfattning : In this thesis on data-driven methods in inverse problems we introduce several new methods to solve inverse problems using recent advancements in machine learning and specifically deep learning. The main goal has been to develop practically applicable methods, scalable to medical applications and with the ability to handle all the complexities associated with them. LÄS MER