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Visar resultat 1 - 5 av 9 uppsatser som matchar ovanstående sökkriterier.
1. Computational prediction of cell-cell interactions in the brain-tumour microenvironment
Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildningSammanfattning : Glioblastoma is the fastest-growing, and the most common malignant brain tumour in adults. It is normally treated with surgery and radio- or chemotherapy, but the approximate life expectancy is of 15 months with a high probability of cancer recurring. Therefore, there is a need for decreasing its severity. LÄS MER
2. Engagement between diverse SOGIESC and humanitarian actors for inclusive protection : The case of Lebanon
Master-uppsats, Uppsala universitet/Teologiska institutionenSammanfattning : Practitioners and academics agree that greater engagement between local diverse SOGIESC (sexual orientation, gender identity, gender expression and sex characteristics) actors (LDSA) and international humanitarian actors (IHA) is needed to make humanitarian responses more inclusive. Despite sector-wide commitments to inclusion and localization, there is a persistent uncertainty about how to meaningfully engage with each other, particularly in insecure contexts. LÄS MER
3. Matched Reassignment of the Ultrasound Data of Breast Lesions
Kandidat-uppsats, Lunds universitet/Matematisk statistikSammanfattning : The goal of this thesis was to, from several randomly selected patients with diagnosed malignant and benign tumors, record optimal lambdas and respective Renyi entropies for each lambda, run a basic statistical analysis of the results and see if there is any significant difference between lambdas/Renyi entropies of malignant and benign lesions.\\ The results showed no significant difference. LÄS MER
4. Development of an ICP-based Global Localization System
Master-uppsats, Linköpings universitet/ReglerteknikSammanfattning : The most common way to track the position of a vehicle is by using the Global Navigation Satellite System (GNSS). Unfortunately, there are many scenarios where GNSS is inaccessible or provides low precision, and it can therefore be vulnerable to only rely on GNSS. LÄS MER
5. Collaborative Localization and Mapping with Heterogeneous Depth Sensors
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Simultaneous Localization and Mapping (SLAM) is the process in which a robot and other devices navigate in environments by simultaneously building a map of the surroundings and localizing itself within it. SLAM for single agents and specific sensors has matured during these last two decades. LÄS MER