Search for dissertations about: "induction training"
Showing result 1 - 5 of 13 swedish dissertations containing the words induction training.
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1. On Fault Detection, Diagnosis and Monitoring for Induction Motors
Abstract : In this thesis, multiple methods and different approaches have been established and evaluated successfully, in order to detect and diagnose the faults of induction motors (IMs). The aim of this thesis is to present novel fault detection and isolation methods for the case of induction machines that would have the merit to be implemented online and being characterized by specific novel capabilities, when compared with the existing techniques. READ MORE
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2. The pill and the will : pharmacological and psychological modulation of cognitive and affective processes
Abstract : Background: Impairments in cognition are components of practically all psychiatric disorders and in that sense transdiagnostic factors. In both clinical and non-clinical populations, ‘hot’ and ‘cold’ cognitive control, i.e. READ MORE
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3. Nursing and anaesthesia care of growing pigs
Abstract : The overall aim of the present thesis was to improve the welfare of animals in research by refining the perioperative nursing and anaesthesia care of growing pigs in accordance with the 3Rs, replace, reduce and refine.Forty-six pigs were trained during a 14-day acclimatisation period to accept blood and urine sampling and ultrasound examination. READ MORE
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4. Hypoxic ischemic encephalopathy : diagnosis, hypothermia treatment and outcome
Abstract : Hypothermia treatment (HT) is now proven to be neuroprotective, is associated with favourable outcomes, and is considered as the standard of care for moderate to severe hypoxic ischemic encephalopathy (HIE). The treatment should be regionalized with a minimum of ten treated infants per year with regard to securing patient safety, staff training, development and future research. READ MORE
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5. Predicting Linguistic Structure with Incomplete and Cross-Lingual Supervision
Abstract : Contemporary approaches to natural language processing are predominantly based on statistical machine learning from large amounts of text, which has been manually annotated with the linguistic structure of interest. However, such complete supervision is currently only available for the world's major languages, in a limited number of domains and for a limited range of tasks. READ MORE