Search for dissertations about: "False positive signals"

Showing result 1 - 5 of 9 swedish dissertations containing the words False positive signals.

2. 1. Track circuits’ robustness : Modeling, measurement and simulation

   Author : Emilio Rodriguez; Ajit Kumar Verma; Luleå tekniska universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Track circuit; Relay; False positive signals; Signalling in railway; Modelling; Simulation; Testing; Robustness; Interoperability; Reliability; Railway Infrastructure; Drift och underhållsteknik; Operation and Maintenance Engineering;

   Abstract : In countries with rough weather conditions, frequent delays cause railway companies to waste time and money. Many of these delays are related to the train detection systems, as the old DC track circuits are still used in some countries, including Sweden, our case study. READ MORE

4. 2. Aβ Conformation Dependent Antibodies and Alzheimer's Disease

   Author : Dag Sehlin; Lars Lannfelt; Frida Ekholm Pettersson; David Teplow; Uppsala universitet; []
   Keywords : Alzheimer s disease; amyloid-beta; protofibrils; conformation; monoclonal antibody; ELISA; MEDICINE; MEDICIN; Geriatrics; Geriatrik;

   Abstract : Soluble intermediates of the amyloid-β (Aβ) aggregation process are suggested to play a central role in the pathogenesis of Alzheimer’s disease (AD) by causing synaptic dysfunction and neuronal loss. In this thesis, soluble Aβ aggregates have been studied with a particular focus on the Aβ protofibril, which has served as the antigen for developing conformation dependent monoclonal antibodies. READ MORE

5. 3. Selectivity in NMR and LC-MS Metabolomics : The Importance of Sample Preparation and Separation, and how to Measure Selectivity in LC-MS Metabolomics

   Author : Albert Elmsjö; Curt Pettersson; Torbjörn Arvidsson; Thomas Moritz; Uppsala universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Metabolomics; NMR; LC-MS; HILIC; UHPLC; Q-ToF; selectivity; co-feature ratio; method evaluation; data evaluation; Analytical Pharmaceutical Chemistry; Analytisk farmaceutisk kemi;

   Abstract : Until now, most metabolomics protocols have been optimized towards high sample throughput and high metabolite coverage, parameters considered to be highly important for identifying influenced biological pathways and to generate as many potential biomarkers as possible. From an analytical point of view this can be troubling, as neither sample throughput nor the number of signals relates to actual quality of the detected signals/metabolites. READ MORE

6. 4. Novel methods for improving rapid paper-based protein assays with gold nanoparticle detection

   Author : Lara Lama; Helene Andersson Svahn; Jesper Gantelius; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Gold nanoparticles; ultrasound energy; signal enhancement; diagnostics; microarrays; paper-based assays; COMSOL Multiphysics simulations; Bioteknologi; Biotechnology;

   Abstract : This thesis describes methods for improving sensitivity in rapid singleplex and multiplex microarray assays. The assays utilize the optical characteristics of colloidal gold nanoparticles for the colorimetric detection of proteins.Multiplexed detection in sandwich immunoassays is limited by cross-reactivity between different detection antibodies. READ MORE

7. 5. Robust inference of gene regulatory networks : System properties, variable selection, subnetworks, and design of experiments

   Author : Torbjörn E. M. Nordling; Elling W Jacobsen; Rolf Findeisen; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; network inference; reverse engineering; variable selection; model selection; feature selection; subset selection; system identification; system theory; network theory; subnetworks; design of experiments; perturbation experiments; gene regulatory networks; biological networks;

   Abstract : In this thesis, inference of biological networks from in vivo data generated by perturbation experiments is considered, i.e. deduction of causal interactions that exist among the observed variables. Knowledge of such regulatory influences is essential in biology. READ MORE