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The general conclusion of Seevinck and Larsson is that our model exploits the so-called coincidence-time loophole and produces sinusoidal (quantum-like) correlations but does not model the singlet state because it does not violate the relevant Bell inequality derived by Larsson and Gill, since in order to obtain the sinusoidal correlations the probability of coincidences in our model goes to zero. In this reply, we refute their arguments that lead to this conclusion and demonstrate that our model can reproduce results of photon and ion-trap experiments with frequencies of coincidences that are not in conflict with the observations. [ABSTRACT FROM AUTHOR]

The present report describes the quality of care, including in hospital mortality for more than 22.000 STEMI patients admitted in 60 Belgian hospitals for the period 2008-2016. We found a strong increase in the use of primary PCI over time, particularly for patients that were admitted first in a non-PCI capable hospital, reaching a penetration rate of >95%. The transition of thrombolysis to transfer for pPCI in the setting of a STEMI network was, however, associated with an increase of the proportion of patients with prolonged (>120 min) diagnosis-to-balloon time (from 16 to 22%), suggesting still suboptimal interhospital transfer. The in-hospital mortality of the total study population was 6.5%. For non-cardiac arrest patients in-hospital mortality decreased from 5.1% to 3.7%, while it increased for cardiac arrest patients from 29 to 37%. The observation that quality indicators (QI's), such as modalities and timing of reperfusion therapy, were associated with lower levels of mortality, underscores the potential of QIs for STEMI to improve care and reduce unwarranted variation and premature death from STEMI.

Finite-difference time-domain (FDTD) electromagnetic simulations are a computational method that has seen much success in the study of biological optics; however, such simulations are often hindered by the difficulty of faithfully replicating complex biological microstructures in the simulation space. Recently, we designed simulations to calculate the trajectory of electromagnetic light waves through realistically reconstructed retinal photoreceptors and found that cone photoreceptor mitochondria play a substantial role in shaping incoming light. In addition to vision research and ophthalmology, such simulations are broadly applicable to studies of the interaction of electromagnetic radiation with biological tissue. Here, we present our method for discretizing complex 3D models of cellular structures for use in FDTD simulations using MEEP, the MIT Electromagnetic Equation Propagation software, including subpixel smoothing at mesh boundaries. Such models can originate from experimental imaging or be constructed by hand. We also include sample code for use in MEEP. Implementation of this algorithm in new code requires understanding of 3D mathematics and may require several weeks of effort, whereas use of our sample code requires knowledge of MEEP and C++ and may take up to a few hours to prepare a model of interest for 3D FDTD simulation. In all cases, access to a facility supercomputer with parallel processing capabilities is recommended. This protocol offers a practical solution to a significant challenge in the field of computational electrodynamics and paves the way for future advancements in the study of light interaction with biological structures., (© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)