Sökning: "articular"
Visar resultat 1 - 5 av 77 uppsatser innehållade ordet articular.
1. Studie av celltillväxt hos kondrocyter och mesenkymala stromaceller från benmärg- en utvärdering av optimala odlingsförhållanden
Kandidat-uppsats, Örebro universitet/Institutionen för hälsovetenskaperSammanfattning : Introduktion: Hyalint brosk består av kondrocyter inbäddade i ett extracellulärt matrix som täcker alla kroppens synoviala leder. I dag är skador på hyalint brosk ett folkhälsoproblem med begränsade behandlingsmöjligheter. LÄS MER
2. Quantitative susceptibility mapping of the knee: A comparison of approaches for addressing fatty tissue
Master-uppsats, Lunds universitet/SjukhusfysikerutbildningenSammanfattning : Background/purpose Quantitative susceptibility mapping (QSM) is an MRI-based post processing technique to evaluate the magnetic susceptibility, χ, of human tissue using phase data. While brain imaging has been the most common application, other areas have also raised interest. LÄS MER
3. Three-Dimensional Cartilage CultureModel – Cell Culture and Analysis ofChondrogenesis
Kandidat-uppsats, Örebro universitet/Institutionen för medicinska vetenskaperSammanfattning : Background: Articular cartilage injuries are a major challenge in orthopedic surgery. Articular cartilage has a low metabolic activity, and it is avascular. Therefore, when injuries occur cartilage has a limited capacity to fully regenerate. LÄS MER
4. Development of a subject specific 3D knee finite element model to estimate the effect of weight loss on cartilage biomechanics
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Osteoarthritis (OA) is a common musculoskeletal disorder that degrades articular cartilage and is a leading cause of disability worldwide. Overweight has been considered a major risk factor of knee OA, and it is known that weight loss may reduce the risk of knee OA. LÄS MER
5. Machine Learning on Terrain Data and Logged Vehicle Data to Gain Insights into Operating Conditions for an Articulated Hauler : Machine Learning on Terrain Data and Logged Vehicle Data to Gain Insights into Operating Conditions for an Articulated Hauler
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Manufacturers can develop next-generation production and service for their customers by the data gathered and analyzed from customers’ usage conditions. In this research, the operating condition of articular haulers is collected and analyzed through machine learning algorithms to predict the type of operational topographies and road surface. LÄS MER