5 results match your criteria: "School for Computation[Affiliation]"

Background: Mobile health (mHealth) apps can be used for cardiovascular disease (CVD) prevention. User-centered design, evidence-based content and user testing can be applied to ensure a high level of usability and adequate app access.

Objective: To develop and evaluate an mHealth app () for CVD prevention.

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Opinion Models, Election Data, and Political Theory.

Entropy (Basel)

February 2024

School for Computation, Information and Technology, TU München (TUM), 80333 Munich, Germany.

Article Synopsis
  • A unified framework is established to analyze election data using opinion models from statistical physics and stochastic dynamics, linking these models to political theory.
  • The study explores the relationship between Potts models, stochastic opinions, and how variations like the q-voter and Zealot models help understand electoral behaviors in four democracies.
  • Findings reveal that weak effects models, especially the reinforcement model, best explain electoral outcomes, highlighting the influence of institutional structures on opinion formation and demonstrating the value of interdisciplinary methods in examining democracy.
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Changes in real-world walking speed following 60-day bed-rest.

NPJ Microgravity

January 2024

Institute of Aerospace Medicine, Department of Muscle and Bone Metabolism, German Aerospace Center, Cologne, Germany.

The aim of this work was to explore whether real-world walking speed (RWS) would change as a consequence of 60-day bed-rest. The main hypothesis was that daily RWS would decrease after the bed-rest, with a subsequent recovery during the first days of re-ambulation. Moreover, an exploratory analysis was done in order to understand whether there is an agreement between the loss in RWS after bed-rest and the loss in the maximum oxygen uptake capacity (VO), or the loss in maximal vertical jump power (JUMP) respectively.

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Background: Identifying high-risk individuals is crucial for preventing cardiovascular diseases (CVDs). Currently, risk assessment is mostly performed by physicians. Mobile health apps could help decouple the determination of risk from medical resources by allowing unrestricted self-assessment.

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is a disease driven by random DNA mutations and the interaction of many complex phenomena. To improve the understanding and ultimately find more effective treatments, researchers leverage computer simulations mimicking the tumor growth . The challenge here is to account for the many phenomena influencing the disease progression and treatment protocols.

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