Sökning: "forest study"
Visar resultat 1 - 5 av 3942 uppsatser innehållade orden forest study.
1. Drought resistance of Ectomycorrhizal fungi in the Suillus genus
Master-uppsats, SLU/Dept. of Forest Mycology and Plant PathologySammanfattning : Rising instances of drought are causing more tree seedling fatalities post-nursery outplanting. In the face of climate change, fostering resilient forestry practices is imperative for preserving the health and functionality of our forests. LÄS MER
2. Var kommer intresset till hyggesfritt skogsbruk ifrån?
Kandidat-uppsats, SLU/School for Forest ManagementSammanfattning : Hyggesfritt skogsbruk är något som mer och mer ses som ett intressant alternativ för skogsägare. Det diskuteras hyggesfritt skogsbruk i olika debattforum, på nyheter och i politiska sammanhang. Även hos de väletablerade skogsföretagen pågår diskussioner om hyggesfritt. LÄS MER
3. Riparian plant biodiversity and community composition of ditches and straightened streams : identifying key environmental drivers in a boreal forest setting
Master-uppsats, SLU/Dept. of Forest Ecology and ManagementSammanfattning : Modified ecosystems are typically seen as degraded and having no ecological value. In many cases, the modification of the ecosystem was done more than 100 years ago and may have had time to recover and become a refugia for species that were once more common in the landscape. LÄS MER
4. Förskollärares uppfattningar om skogen som lärmiljö : En kvalitativ studie om förskollärares olika uppfattningar om skogen som lärmiljö
Uppsats för yrkesexamina på grundnivå, Karlstads universitet/Fakulteten för humaniora och samhällsvetenskap (from 2013)Sammanfattning : The study will be based on a qualitative method with a focus on describing seven preschool teachers' different perceptions of the forest as a learning environment for all age groups in preschool. Further in this work, we want to contribute knowledge about the forest's possibilities for gross motor development, learning and influence for all children in preschool. LÄS MER
5. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Sepsis, a serious medical condition often leading to patients requiring intensive care, has prompted numerous scientists to employ mathematical techniques to aid in its diagnosis. This thesis uses logistic regression and a machine learning technique, XGBoost, to predict true sepsis (as opposed to sepsis mimics) and culture-positive sepsis (among true sepsis) in critical care using blood test results, physiological measurements and other patient characteristics. LÄS MER