| 1. |
- Tomić, I., et al.
(författare)
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Shake-table testing of a stone masonry building aggregate : overview of blind prediction study
- 2023
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Ingår i: Bulletin of Earthquake Engineering. - : Springer Science and Business Media LLC. - 1570-761X .- 1573-1456.
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Tidskriftsartikel (refereegranskat)abstract
- City centres of Europe are often composed of unreinforced masonry structural aggregates, whose seismic response is challenging to predict. To advance the state of the art on the seismic response of these aggregates, the Adjacent Interacting Masonry Structures (AIMS) subproject from Horizon 2020 project Seismology and Earthquake Engineering Research Infrastructure Alliance for Europe (SERA) provides shake-table test data of a two-unit, double-leaf stone masonry aggregate subjected to two horizontal components of dynamic excitation. A blind prediction was organized with participants from academia and industry to test modelling approaches and assumptions and to learn about the extent of uncertainty in modelling for such masonry aggregates. The participants were provided with the full set of material and geometrical data, construction details and original seismic input and asked to predict prior to the test the expected seismic response in terms of damage mechanisms, base-shear forces, and roof displacements. The modelling approaches used differ significantly in the level of detail and the modelling assumptions. This paper provides an overview of the adopted modelling approaches and their subsequent predictions. It further discusses the range of assumptions made when modelling masonry walls, floors and connections, and aims at discovering how the common solutions regarding modelling masonry in general, and masonry aggregates in particular, affect the results. The results are evaluated both in terms of damage mechanisms, base shear forces, displacements and interface openings in both directions, and then compared with the experimental results. The modelling approaches featuring Discrete Element Method (DEM) led to the best predictions in terms of displacements, while a submission using rigid block limit analysis led to the best prediction in terms of damage mechanisms. Large coefficients of variation of predicted displacements and general underestimation of displacements in comparison with experimental results, except for DEM models, highlight the need for further consensus building on suitable modelling assumptions for such masonry aggregates.
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| 2. |
- Galanakis, Petros A., et al.
(författare)
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Study of the Interaction Between the Amyloid Beta Peptide (1-40) and Antioxidant Compounds by Nuclear Magnetic Resonance Spectroscopy
- 2011
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Ingår i: Biopolymers. - : Wiley. - 0006-3525 .- 1097-0282. ; 96:3, s. 316-327
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Tidskriftsartikel (refereegranskat)abstract
- Amyloid beta peptide (Aβ) aggregation leads to the senile plaque formation, a process that is strongly influenced by oxidative stress and is considered as the molecular basis of various neurodegenerative diseases, such as Alzheimer's Disease (AD). Endogenous antioxidants or dietary derived compounds may down-regulate this process. In this study, the interaction of two antioxidants, oleuropein (OE) and melatonin (M) with Aβ, is monitored through NMR spectroscopy and Mass Spectrometry. The concerted application of these two analytical techniques provides new experimental evidence and residue-specific insights into the interacting Aβ peptide amino acids that are implicated in this process. Both antioxidant compounds interact in a similar way with the peptide and cause chemical shift variations. The most pronounced resonance changes have been observed for the (1)H-(15)N signals of N-terminal region and Leu(17)-Phe(20) residues, as monitored by NMR titration studies.
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| 3. |
- Makrakis, D, et al.
(författare)
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Effect of body tissue composition on the outcome of patients with metastatic non-small cell lung cancer treated with PD-1/PD-L1 inhibitors
- 2023
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Ingår i: PloS one. - : Public Library of Science (PLoS). - 1932-6203. ; 18:2, s. e0277708-
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Tidskriftsartikel (refereegranskat)abstract
- Obesity and sarcopenia have been reported to affect outcomes in patients with non-small cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICIs). We analyzed prospective data from 52 patients with non-oncogene driven metastatic NSCLC treated with ICIs. Body tissue composition was calculated by measuring the fat and muscle densities at the level of 3rd lumbar vertebra in each patient computed tomography scan before ICI initiation using sliceOmatic tomovision. We converted the densities to indices [Intramuscular Fat Index (IMFI), Visceral Fat Index (VFI), Subcutaneous Fat Index (SFI), Lumbar Skeletal Muscle Index (LSMI)] by dividing them by height in meters squared. Patients were dichotomized based on their baseline IMFI, VFI and SFI according to their gender-specific median value. The cut-offs that were set for LMSI values were 55 cm2/m2 for males and 39 cm2/m2 for females. SFI distribution was significantly higher (p = 0.040) in responders compared to non-responders. None of the other variables affected response rates. Low LSMI HR: 2.90 (95% CI: 1.261–6.667, p = 0.012) and low SFI: 2.20 (95% CI: 1.114–4.333, p = 0.023) values predicted for inferior OS. VFI and IMFI values did not affect survival. Subcutaneous adipose and skeletal muscle tissue composition significantly affected immunotherapy outcomes in our cohort.
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