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In Iran, earthquakes cause enormous damage to the people and economy. If there is a proper estimation of human losses in an earthquake disaster, it could be appropriately responded and its impacts and losses will be decreased. Neural networks can be trained to solve problems involving imprecise and highly complex nonlinear data. Based on the different earthquake scenarios and diverse kind of const
Renewable technology expands geographically and in capacity. The long transmission distance and bulk power transfer involved make multi-terminal VSC-HVDC systems a key technology for future power systems. This expansion could be hampered by the pace of development of multi-terminal systems especially when standardization is not reached in hardware or the control system. A general control system st
This article develops the theory of laminar dispersion in finite-length channel flows at high Péclet numbers, completing the classical Taylor-Aris theory which applies for long-term, long-distance properties. It is shown, by means of scaling analysis and invariant reformulation of the moment equations, that solute dispersion in finite length channels is characterized by the occurrence of a new reg
Introduction: Looking into the future is difficult and sometimes hazardous. A reliable look into haemophilia treatment in 2030 should be based on history and contemporary progress as well as dilemmas. Today, the issue of inhibitors overshadows the entire haemophilia community together with lack of treatment for large parts of the world's persons with haemophilia. Aims: The aim of this paper was to
The purpose of the dissertation is to provide new knowledge on how strategic communication can be understood and practiced when companies and authorities are challenged by digitally organized citizens who mobilize dissatisfaction and question traditional experts. The dissertation is based on a relational perspective, which means interest in how different actors constitute themselves and relate to
Kidney Exchange Programs (KEP) are valuable tools to increase the options of living donor kidney transplantation for patients with end-stage kidney disease with an immunologically incompatible live donor. Maximising the benefits of a KEP requires an information system to manage data and to optimise transplants. The data input specifications of the systems that relate to key information on blood gr
The potential of embryonic stem cells to differentiate to all cell types makes them an attractive model for development and a potential source of cells for transplantation therapies. Candidate approaches have identified individual genes and proteins that promote the differentiation of embryonic stem cells to desired fates. Here, we describe a rapid large-scale screening strategy for the identifica
We introduce the sequential neural posterior and likelihood approximation (SNPLA) algorithm. SNPLA is a normalizing flows-based algorithm for inference in implicit models, and therefore is a simulation-based inference method that only requires simulations from a generative model. SNPLA avoids Markov chain Monte Carlo sampling and correction-steps of the parameter proposal function that are introdu
Party competition in Eastern Europe faces a seeming paradox. On the one hand, research finds increased political volatility in these countries, while, on the other, some authors demonstrate inherent ideological stability in the region. This research note presents a new methodological approach to adjudicating between these two findings, and suggests that while political organisations come and go, t
