The burnout syndrome is a response to a long term chronic emotional and interpersonal stressors that are related to workplace. It emerges as the consequence of non-harmonized relations between employees on one, and working environment on the other side. It is defined as chronic work stress that includes three dimensions: the sense of the emotional exhaustion, the negative approach to providing services (depersonalization) and the sense of reduced personal accomplishment. It occurs most often in persons who work in direct contact with other people. Medicine is one of the professions at the greatest risk of suffering from burnout syndrome. The results of the studies conducted in the neighbouring countries, in Europe and in the world showed a big prevalence of burnout syndrome among medical workers, especially in physicians. The acquired results indicate that there is a need to undertake measures for prevention of the burnout syndrome.

The main aim of the study is to develop a real-time epilepsy prediction approach by using the ensemble machine learning techniques that might predict offline seizure paradigms. The proposed seizure prediction algorithm is patient-specific since generalization showed no satisfactory results in our previous studies. The algorithm is tested on CHB-MIT database comprised of EEG data from pediatric epileptic patients. Based on relations to number of seizures and number of files, gender and age, three patients have been chosen for this study. The special majority voting algorithm is proposed and used for raising an alarm of upcoming seizure. EEG signals are denoised using MSPCA (Multiscale PCA), the features were extracted by WPD (wavelet packet decomposition), and EEG signals were classified using Rotation Forest. The significance of the study lies in the fact that the proposed seizure prediction algorithm could be used in novel diagnostic and therapeutic applications for pediatric patients.

Here we examine the behavior of a rational Lotka - Volterra model which is a modification of the ordinary polynomial case. We find nonnegative equilibrium points and define conditions in the parametric space for the stable positive equilibrium point. We also prove existence of the stable limit cycle in the case of the unstable positive equilibrium point.

O presente estudo analisa o importante papel do bispo Dom Fernando Areas Rifan na defesa da Igreja Catolica Tradicional no municipio de Campos dos Goytacazes, sendo destacada sua participacao frente ao cisma ocorrido na decada de 1980 apos o Concilio Vaticano II. Sob a investidura de Administrador Apostolico, o bispo Dom Fernando Areas Rifan, defende amor a Santa Missa na forma extraordinaria do Rito Romano, submetendo, no entanto, seus servicos a hierarquia da Igreja Catolica, figurada pelo Santo Padre o Papa. Nesse sentido, visando demonstrar a importância de Dom Fernando para a populacao campista catolica, em especial, para os membros da Administracao Catolica Sao Joao Maria Vianney, evidencias historias serao apresentadas, com o objetivo de compreender de que forma foi construido o dialogo pacifico entre o catolicismo “renovado” e o catolicismo tradicional, bem como, a retomada de uma Igreja Catolica forte, atuante e presente no municipio de Campos dos Goytacazes.

The scientific investigation of aquatic ecosystems in Bosnia and Herzegovina has become increasingly intense in recent years. Due to a deficit in studies regarding parasitology and biological control of diseases, two important fish ectoparasites (Chilodonella cyprini and Ichthyophthirius multifiliis) were investigated in 22 fish species (400 individuals) during 2017 from the middle flow of the Sava River. The prevalence of infection and infection intensity were analyzed and signs of ichthyophthiriasis were also documented. The study gives recommendations for the development of aquatic ecosystem management.

This paper provides a brief historical sketch of the science of biologically active peptides. It also offers the story of how Ervin G. Erdös, a pioneer in the study of metabolism of various peptides, influenced me through collaborations that span many years. I worked in Dr. Erdös's research laboratories in Oklahoma City, Dallas, and Chicago, and we shared research interests through visits across the Atlantic between the former Yugoslavia and the United States. Among other findings, we discovered angiotensin-converting enzyme in the retina, which opened up a new research direction for many scientists interested in serious ocular diseases. This tribute to my mentor paints a portrait of a man who, in addition to his dedication to science and his seminal discoveries about the metabolism of peptides, took the time to invest in training many young scientists. His fine personal qualities explain why all of those who worked with him hold him in such high regard.

This paper presents preliminary work on learning the search heuristic for the optimal motion planning for automated driving in urban traffic. Previous work considered search-based optimal motion planning framework (SBOMP) that utilized numerical or model-based heuristics that did not consider dynamic obstacles. Optimal solution was still guaranteed since dynamic obstacles can only increase the cost. However, significant variations in the search efficiency are observed depending whether dynamic obstacles are present or not. This paper introduces machine learning (ML) based heuristic that takes into account dynamic obstacles, thus adding to the performance consistency for achieving real-time implementation.

We consider a multi-agent system in which agents arrive and depart from a network randomly as a Bernoulli process. Each agent that is active in the network must decide between two actions represented by 0 or 1. Each active agent then observes the action of a random neighbour and updates its preference towards a certain action. New agents that arrive into the network are activated with a random preference and action. This means that the notion of consensus in the standard sense can no longer be applied and instead, we provide conditions under which majority action preservation occurs when the number of agents is arbitrarily large. This property will imply that a large fraction of the active agent population will retain their action almost surely.

Early exposure to negative environmental impact shapes individual behavior and potentially contributes to any mental disease. We reported previously that accumulated environmental risk markedly decreases age at schizophrenia onset. Follow-up of matched extreme group individuals (≤1 vs. ≥3 risks) unexpectedly revealed that high-risk subjects had >5 times greater probability of forensic hospitalization. In line with longstanding sociological theories, we hypothesized that risk accumulation before adulthood induces violent aggression and criminal conduct, independent of mental illness. We determined in 6 independent cohorts (4 schizophrenia and 2 general population samples) pre-adult risk exposure, comprising urbanicity, migration, physical and sexual abuse as primary, and cannabis or alcohol as secondary hits. All single hits by themselves were marginally associated with higher violent aggression. Most strikingly, however, their accumulation strongly predicted violent aggression (odds ratio 10.5). An epigenome-wide association scan to detect differential methylation of blood-derived DNA of selected extreme group individuals yielded overall negative results. Conversely, determination in peripheral blood mononuclear cells of histone-deacetylase1 mRNA as ‘umbrella mediator’ of epigenetic processes revealed an increase in the high-risk group, suggesting lasting epigenetic alterations. Together, we provide sound evidence of a disease-independent unfortunate relationship between well-defined pre-adult environmental hits and violent aggression, calling for more efficient prevention.

We use rational formality of configuration spaces and the bar construction to study the cohomology of the space of braids in dimension four or greater. We provide a diagram complex for braids and a quasi-isomorphism to the de Rham cochains on the space of braids. The quasi-isomorphism is given by a configuration space integral followed by Chen’s iterated integrals. This extends results of Kohno and of Cohen and Gitler on the cohomology of the space of braids to a commutative differential graded algebra suitable for integration. We show that this integration is compatible with Bott–Taubes configuration space integrals for long links via a map between two diagram complexes. As a corollary, we get a surjection in cohomology from the space of long links to the space of braids. We also discuss to what extent our results apply to the case of classical braids.