A classical triad of extrathyroidal manifestations of Graves’ disease known as EMO syndrome (exophthalmos, pretibial myxedema and osteoarthropathy) is a rare condition. This paper presents a 39-year old male patient who underwent chemoand radiation therapy of the supradiaphragmatic area due to Hodgkin’s disease at the age of 35 and 36 leading to remission. Two years later, the patient developed...

© 2013 The Authors. doi: 10.2340/00015555-1366 Journal Compilation © 2013 Acta Dermato-Venereologica. ISSN 0001-5555 The triad exophthalmus, pre-tibial myxoedema, osteoarthropathia (EMO syndrome) was first described by Thomas in 1933 and represents a rare condition occurring in patients with Graves’ disease (1). Graves’ disease is a common autoimmune disorder of the thyroid gland due to a produ...

Cultural algorithms (CAs) are one of the metaheuristics which can be adapted in order to work in multiobjective optimization environments. On the other hand, portfolio selection problem (PSP) is a wellknow problem in literature. However, only a few articles have applied evolutionary multi-objective (EMO) algorithms to these problems and articles presenting CAs applied to the PSP have not been f...

In this work the use of qualitative preferences for classifying and selecting MOEAs is introduced. The classical notions of the Analyst and the so called Prescriptive Analysis are introduced explicitly in EMO, identifying some difficulties in exploiting the results of the comparative studies performed by the current fashion. A methodology is developed that allows the analyst to translate DM’s g...

This paper proposes a novel perspective to the use of evolutionary multiobjective optimization (EMO) as a paradigm for the characterization of complexity. Our objective is not to introduce a new measure of complexity but rather providing a framework for comparing the complexity of an object across different complexity scales. EMO provides a practical (from artificial life practitioners’ perspec...

In order to approximate the set of Pareto optimal solutions, several evolutionary multi-objective optimization (EMO) algorithms transfer the multiobjective problem into several independent single-objective ones by means of scalarizing functions. The choice of the scalarizing functions’ underlying search directions, however, is typically problem-dependent and therefore difficult if no informatio...

UNLABELLED NetCmpt is a tool for calculating the competitive potential between pairs of bacterial species. The score describes the effective metabolic overlap (EMO) between two species, derived from analyzing the topology of the corresponding metabolic models. NetCmpt is based on the EMO algorithm, developed and validated in previous studies. It takes as input lists of species-specific enzymati...

In this paper, we present a distributed implementation of a network based multi-objective evolutionary algorithmcalled EMOby using Offspring. Network based evolutionary algorithms have proven to be effective for multi-objective problem solving. They feature a network of connections between individuals that drives the evolution of the algorithm. Unfortunately, they require large populations to...

This study investigated whether emotional expressions of an ECA influence the participants ́ nonverbal and verbal behavior. 70 participants took part in a small talk (10 min.) situation with the ECA MAX who was presented with two different types of feedback: emotional feedback (EMO), which provided a feedback about the emotional state of MAX (including smiles and compliments) and envelope feedba...