The Cyprus Institute

About: The Cyprus Institute is a other organization based out in Nicosia, Cyprus. It is known for research contribution in the topics: Aerosol & Environmental science. The organization has 418 authors who have published 1252 publications receiving 32586 citations.

A Reconstruction Method Based on Deep Convolutional Neural Network for SPECT Imaging

Abstract: We explore a novel method for tomographic image reconstruction in the field of Single Photon Emission Computerized Tomography (SPECT) imaging. Deep Learning methodologies and more specifically deep convolutional neural networks (CNN) are employed in the new reconstruction method, which is referred to as "CNN Reconstruction – CNNR". Projection data were obtained from software phantoms and were used to evaluate the efficacy of the method. The resulting tomographic images are compared to those produced by the "Maximum Likelihood Expectation Maximization" (MLEM) and the "Filtered Back Projection" (FBP). The results show that the proposed CNNR model outperforms both FBP and MLEM methods.

Investigation of light and heavy tetraquark candidates using lattice QCD

Abstract: We review the status of an ongoing long-term lattice investigation of the spectrum and structure of tetraquark candidates. We focus on the light scalar meson $a_0(980)$. First steps regarding the study of a possibly existing $c c \bar{c} \bar{c}$ tetraquark are also outlined.

Ring Polymer Molecular Dynamics and Active Learning of Moment Tensor Potential for Gas-Phase Barrierless Reactions: Application to S + H2

Abstract: Ring polymer molecular dynamics (RPMD) has proven to be an accurate approach for calculating thermal rate coefficients of various chemical reactions. For wider application of this methodology, efficient ways to generate the underlying full-dimensional potential energy surfaces (PESs) and the corresponding energy gradients are required. Recently, we have proposed a fully automated procedure based on combining the original RPMDrate code with active learning for PES on-the-fly using moment tensor potential and successfully applied it to two representative thermally activated chemical reactions [I. S. Novikov, Y. V. Suleimanov, A. V. Shapeev, Phys. Chem. Chem. Phys., 29503-29512 (2018)]. In this work, using a prototype insertion chemical reaction S + H$_2$, we show that this procedure works equally well for another class of chemical reactions. We find that the corresponding PES can be generated by fitting to less than 1500 automatically generated structures while the RPMD rate coefficients show deviation from the reference values within the typical convergence error of RPMDrate. We note that more structures are accumulated during the real-time propagation of the dynamic factor (the recrossing factor) as opposed to the previous study. We also observe that relatively flat free energy profile of the along the reaction coordinate before entering the complex-formation well can cause issues with locating the maximum of the free energy surface for less converged PESs. However, the final RPMD rate coefficient is independent of the position of the dividing surface that makes it invulnerable to this problem, keeping the total number of necessary structures within a few thousand. Our work concludes that, in future, the proposed methodology can be applied to realistic complex chemical reactions with various energy profiles.

Kastro Palaia settlement, Volos, Greece: a diachronical technological approach to bronze metalwork

Abstract: The paper examines diachronically the technological knowledge and the level of copper metallurgy at Kastro Palaia, Volos, in Magnesia, examining various objects with dates from the Early Bronze Age...