Essays about: "Impact Hub"
Showing result 1 - 5 of 51 essays containing the words Impact Hub.
-
1. INTERWEAVE - Food production interweaving with cultural programs, housing, and public places in Slakthusområdet, Stockholm.
University essay from KTH/StadsbyggnadAbstract : Slakthusområdet, a historically significant slaughterhouse district in Stockholm, stands as a testament to the dynamic nature of urban landscapes, characterized by the relentless tide of rapid urban change. Over the years, this district has undergone multiple transformations, mirroring the shifting needs and aspirations of the city. READ MORE
-
2. Pilot Study: Test Rig for Self-lubricating Kaplan Runner Bearings
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Hydropower has a relatively small impact on the climate and contributes to almost half of Sweden’s electricity production. Vattenfall own and operate roughly 125 large scale hydro power units of which about half utilizes a Kaplan turbine. READ MORE
-
3. The Lakeside Hub
University essay from KTH/ArkitekturAbstract : The project entails the creation of a captivating complex, comprising a community house and a Retreat center. Located in the peaceful outskirts of Ösmo, with stunning views of Västra Styran, this architectural masterpiece seamlessly blends functionality, aesthetic appeal, and a profound connection to nature. READ MORE
-
4. The Revival Church
University essay from Lunds universitet/Institutionen för arkitektur och byggd miljöAbstract : Throughout the years, the church has played an integral role in the community. It has served as a spiritual hub, a political symbol, and a center point for the community. One thing that cannot be denied is that the church has had some sort of power and influence on the community throughout different periods of time. READ MORE
-
5. Capturing genes with high impact based on reconstruction errors produced by variational autoencoders
University essay from Högskolan i Skövde/Institutionen för biovetenskapAbstract : 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. READ MORE