Sökning: "utbrändhet"
Visar resultat 11 - 15 av 17 avhandlingar innehållade ordet utbrändhet.
11. Retrieve and Classify
Sammanfattning : Diagnoshjälp för läkareMarkus Nilsson har vid Institutionen för Datavetenskap och Elektronik (IDE) forskat fram ett beslutsstödssytem för kliniker, läkare och psykologer. Systemet använder sig av artificiell intelligens (AI) för att resonera sig fram till nya diagnoser och tolkningar av mätvärden med hjälp av tidigare erfarenheter och kunskap. LÄS MER
12. Noise in the preschool : health and preventive measures
Sammanfattning : This thesis is based on noise recordings and health evaluations carried out at preschools in the northern part of Sweden. Sound level recordings were made on individuals and by use of stationary devices in dining rooms and play halls. Health evaluations were based on ratings by use of questionnaires and by analyses of cortisol. LÄS MER
13. Diagnosing burn-out : An Anthropological Study of a Social Concept in Sweden
Sammanfattning : This is a thesis about the genesis, use, and decline of burn-out as a social concept in Sweden. The burn-out concept is treated as social because its classification of people interacts with the people classified. As a consequence of this, burn-out is studied in a dynamic holistic way, as an entirely social system within Swedish society. LÄS MER
14. Ecological embedding : stories of back-to-the-land ecopreneurs and energy descent
Sammanfattning : This thesis starts with the premise that to address ecological and climate crises, we need to understand their psychological and cultural roots found in the separation of modern societies from the natural world. This separation permeates mainstream approaches to sustainability that either sustain business-as-usual of the unbridled economic growth, or reform it with greener markets and technologies. LÄS MER
15. Statistical inference and time-frequency estimation for non-stationary signal classification
Sammanfattning : This thesis focuses on statistical methods for non-stationary signals. The methods considered or developed address problems of stochastic modeling, inference, spectral analysis, time-frequency analysis, and deep learning for classification. LÄS MER