Sökning: "twin models"
Visar resultat 1 - 5 av 60 avhandlingar innehållade orden twin models.
1. Latent variable models for longitudinal twin data
Sammanfattning : Longitudinal twin data provide important information for exploring sources of variation in human traits. In statistical models for twin data, unobserved genetic and environmental factors influencing the trait are represented by latent variables. In this way, trait variation can be decomposed into genetic and environmental components. LÄS MER
2. Statistical methods for twin and sibling designs
Sammanfattning : Twin and sibling studies are valuable in that they allow adjustment for potential confounding factors that are impossible or hard to measure. By measuring associations ‘within-cluster’ it is possible to adjust for many factors that are shared between individuals in the same cluster. LÄS MER
3. Digital Twins : High Resolution Disease Models for Optimized Diagnosis and Treatment
Sammanfattning : To study immune-mediated diseases, which can affect the expression of thousands of genes among many different cell types and organs, is a daunting challenge. However, for effective diagnosis and therapeutic treatment it is relevant to understand the regulatory functions of disease. LÄS MER
4. Enablement of digital twins for railway overhead catenary system
Sammanfattning : Railway has the potential to become one of the most sustainable mediums for passenger and freight transport. This is possible by continuous updates to the asset management regime supporting Prognostics and Health Management (PHM). Railway tracks and catenaries are linear assets, and their length plays a vital role in maintenance. LÄS MER
5. Virtualizing Operational Technology by Distributed Digital Twins
Sammanfattning : Industrial digitalization, stemming from the convergence of Information Technology (IT) and Operational Technology (OT), is a transformative force in modern industries. The Industrial Internet of Things (IIoT) and Industrial Cyber-Physical Systems (ICPS) empower industries with enhanced production processes, data-driven insights, and advanced automation. LÄS MER