Publications by authors named "Anastasios Drougkas"
Article Synopsis
- The study focuses on a viscoelastic model that captures various loading types like creep-recovery and stress relaxation using the same parameters, making it easier to analyze viscoelastic behavior over different time scales.
- The model's relaxation function incorporates a distribution function tied to energy barriers that molecular domains must overcome under stress, which plays a crucial role in the analysis and can be derived from experimental results of the loss modulus master curve.
- The research successfully predicts key properties like creep compliance and relaxation modulus for poly-lactic acid (PLA) and demonstrates that the model can also extend to predict experimental data for PLA/hybrid nanocomposites without needing extra parameters.
Background: The study aimed to determine the most crucial parameters associated with CVD and employ a novel data ensemble refinement procedure to uncover the optimal pattern of these parameters that can result in a high prediction accuracy.
Methods And Results: Data were collected from 369 patients in total, 281 patients with CVD or at risk of developing it, compared to 88 otherwise healthy individuals. Within the group of 281 CVD or at-risk patients, 53 were diagnosed with coronary artery disease (CAD), 16 with end-stage renal disease, 47 newly diagnosed with diabetes mellitus 2 and 92 with chronic inflammatory disorders (21 rheumatoid arthritis, 41 psoriasis, 30 angiitis).