Sökning: "disease attribute"
Visar resultat 1 - 5 av 7 uppsatser innehållade orden disease attribute.
1. Sjuksköterskans förutsättningar för en tidig identifiering av sepsis
Kandidat-uppsats,Sammanfattning : Bakgrund: Dödligheten i sepsis är hög och en snabb identifiering samt en tidig administrering av antibiotika är av högsta prioritet för att undvika septisk chock där risken för allvarliga komplikationer med dödlig utgång föreligger. Sjuksköterskan är den i vårdteamet som arbetar närmast patienten och besitter största möjligheten att identifiera sepsis i ett tidigt skede. LÄS MER
2. The differential signalling of the succinate receptor SUCNR1/GPR91, through Gi versus Gq
Master-uppsats, Lunds universitet/Teknisk mikrobiologiSammanfattning : G protein-coupled receptors are the biggest family of membrane bound receptor in the human genome, they are also target for many drugs due to their accessible location in the cell membrane. We have characterized the G protein recruitment of the succinate receptor 1 (SUCNR1/GPR91). LÄS MER
3. Remote Work’s Effect on Motivation : A study of how remote work during the covid-19 pandemic has affected employee motivation
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : The current pandemic infused by the covid-19 virus has changed the world we once knew. To prevent the spread of the disease, many countries have implemented restrictions involving social distancing, which has resulted in millions of employees that have started to work remotely from their homes. LÄS MER
4. Can Good Institutions Avert the Resource Curse?
Master-uppsats, Uppsala universitet/Nationalekonomiska institutionenSammanfattning : To establish the economic impact of petroleum in the UK, this paper uses the synthetic control method. By constructing an artificial UK economy without oil, from the donor pool of OECD economies, it establishes the counterfactual time path of capital stock the UK would have had if it lacked the petroleum endowment. LÄS MER
5. Early Stratification of Gestational Diabetes Mellitus (GDM) by building and evaluating machine learning models
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Gestational diabetes Mellitus (GDM), a condition involving abnormal levels of glucose in the blood plasma has seen a rapid surge amongst the gestating mothers belonging to different regions and ethnicities around the world. Cur- rent method of screening and diagnosing GDM is restricted to Oral Glucose Tolerance Test (OGTT). LÄS MER
