Sökning: "Family reconstruction"
Visar resultat 1 - 5 av 31 uppsatser innehållade orden Family reconstruction.
1. Kom spring på gömda stigarna i skogen - ett rekonstruktionsförslag av Orangeriberget på Gunnebo Slott, med pedagogisk inriktning
Kandidat-uppsats, Göteborgs universitet/Institutionen för kulturvårdSammanfattning : This is an essay about a part of the English landscape garden at Gunnebo house in Mölndal municipality. The facility was bought 1778 by one of Sweden’s richest men, John Hall senior (1735-1802) and his family. LÄS MER
2. Konstnärernas trädgård : en processanalys av trädgårdsrekonstruktionen på Carl Larsson-gården
Kandidat-uppsats, Göteborgs universitet/Institutionen för kulturvårdSammanfattning : The essay is a case study that describes the reconstruction process of the garden at Carl Larssongården that took place between 2010-2014. The survey places particular emphasis on horticultural historical values and how these are translated from theory to practice. LÄS MER
3. Post-Traumatic Urbanism
Uppsats för yrkesexamina på avancerad nivå, KTH/ArkitekturSammanfattning : Terrorism, conflict, and natural disasters. How can architecture respond to a world at odds with itself?On a daily basis we see tragic news about cities around the world that are undergoing trauma. LÄS MER
4. Exploring Young Adults' Relationship to Forest Visits in Sweden: A Grounded Theory Study with Implications for Policy Planning
Master-uppsats, Lunds universitet/Socialmedicin och global hälsaSammanfattning : Background: Mental illness is a significant public health issue among young adults in Sweden, who are also spending less time in nature despite its proven positive health effects. However, there is limited research on young adults’ relationship with forest visits from a mental health perspective. LÄS MER
5. Capturing genes with high impact based on reconstruction errors produced by variational autoencoders
Master-uppsats, Högskolan i Skövde/Institutionen för biovetenskapSammanfattning : In this work we present a novel method to extract potential hub genes, transcription factors and regions with densely interconnected protein-protein-interaction networks from RNAseq data. To achieve this we deploy variational autoencoders, a generative machine learning framework, and extract the gene-wise reconstruction errors. LÄS MER