Abstract This study estimates the present and future distribution potential of 12 thermophilic and rare tree species for Europe based on climate-soil sensitive species distribution models (SDMs), and compares them to the two major temperate and boreal tree species (Fagus sylvatica and Picea abies). We used European national forest inventory data with 1.3 million plots to predict the distribution of the 12 + 2 tree species in Europe today and under future warming scenarios of +2.9 and +4.5 °C. The SDMs that were used to calculate the distributions were in a first step only given climate variables for explanation. In a second step, deviations which could not be explained by the climate models were tested in an additional soil variable-based model. Site-index models were applied to the found species distribution to estimate the growth performance (site index) under the given climate. We find a northward shift of 461 km and 697 km for the thermophilic species over the regarded time period from 2060 to 2080 under a warming scenario of 2.9 °C and 4.5 °C, respectively. Potential winners of climatic warming have their distribution centroid below 48°N. Fagus sylvatica and Picea abies will lose great parts of their potential distribution range (approx. 55 and 60%, respectively). An index of area gain and growth performance revealed Ulmus laevis, Quercus rubra, Quercus cerris and Robinia pseudoacacia as interesting alternatives in managed temperate forests currently dominated by F. sylvatica and P. abies. The 12 investigated species are already in focus in forestry and it has been shown that the changing climate creates conditions for a targeted promotion in European forests. Nevertheless, area winners exhibited lower growth performances. So, forest conversion with these warm-adapted species goes hand in hand with loss of overall growth performance compared to current species composition. So, the results are a premise for a further discussion on the ecological consequences and the consistency with forest socio-economic goals and conservation policies.

The Paediatric Rheumatology European Society (PReS) has over many years, developed a portfolio of educational activities to address increasing educational needs of workforce and support young clinicians to acquire skills to develop new knowledge and deliver clinical care in the future. These educational activities aim to facilitate growth of paediatric rheumatology and ultimately improve the clinical care for children and families. This article describes the current portfolio of PReS educational activities and their relevance to the international paediatric rheumatology community.

Introduction: Epilepsy is a disease that affects more than 50 million people worldwide. This most common chronic neurological disorder, which actually represents impairment of some brain structures, makes the patients suffering from epilepsy victims of environmental stigma, which, due to ignorance, is considered them to be mentally ill. Aim: The aim of the study was to examine the demographic data of epilepsy patients, disease duration, frequency of seizures and type of therapy (mono/polytherapy), determine the existence of depressive symptomatology in patients with epilepsy and to examine predictive gender significance, degree of education, employment status, type of epileptic seizure on the presence of stigma. Patients and methods: The sample consisted of 100 respondents, both sexes, treated in the Epilepsy Outpatient Clinic of the Clinic for Neurology of the Clinical Center of the University of Sarajevo, selected randomly. All respondents fulfilled the Mini Mental Status Test. Patients who met the required score (27 and more of a total of 30) performed a test to evaluate the possible presence of depressive affective disorder with Back’s Depression Scale. They also responded to the questionnaire of the revised version of Epilepsy Stigma Scale. Results: The mean age of the respondents was 37.46±11.9 years. Men are on average older 40.84±11.9 years, than women 34.69±11.2 in the tested sample, and the difference shown is statistically significant, p=0.009. The difference in the frequency of respondents by status of employment is statistically significant, χc2=50.4; p=0.0001. According to Beck’s Depression Scale, a total of 15 respondents were without a stigma, a total of 51 respondents felt mild stigma, and 34 respondents felt high level of stigma, 18 of which (52.9%) with score ≤9, 2 (5.9%) score 10-15, 4 (11.8%) had a score of 16-19, 4 (11.8%) score of 20-29, while 6 (17.6%) had a score of ≥30. The degree of depression and the degree of stigma are in correlation, p=0.011. The time without epileptic seizures was approximately 6 (3-8) months for respondents without stigma, in respondents with mild stigma 4 (3-6) months and respondents with high stigma 6 (4-9) months. The mean time without epileptic seizures is statistically significantly different in relation to the degree of stigma, p=0.026 Conclusion: The results of this study showed that poor control of epileptic seizures and the presence of depression had a significant predictive value for the development of the stigma. Therefore, in addition to establishing good control over epileptic manifestations, it is extremely important to pay attention to psychological changes, to raise awareness in the community, to continuously carry out education, in order to have the best outcomes in treatment of a patient with epilepsy.

During joint actions, humans continuously exchange coordination signals and use nonverbal, sensorimotor forms of communication. Here we discuss a specific example of sensorimotor communication—“signaling”—which consists in the intentional modification of one’s own action plan (e.g., a plan for reaching a glass of wine) to make it more predictable or discriminable from alternative action plans that are contextually plausible (e.g., a plan for reaching another glass on the same table). We first review the existing evidence on signaling in human-human interactions, discussing under which conditions humans use signaling. Successively, we distill these insights into a computational theory of signaling during online interactions. Central to our approach are the following ideas: 1) signaling endows pragmatic plans with communicative goals; 2) signaling can be understood within a cost-benefit scheme, balancing the costs for the signaling agent against its benefits for interaction success; and 3) signaling may be part of an interactive strategy that optimizes success when joint goals are uncertain. Finally, we exemplify the benefits of signaling in a series of simulations and discuss how endowing robots with signaling abilities can increase the quality of human-robot interactions by making their behavior more predictable and “legible” for humans.

Abstract Despite numerous scholarly attempts, there is a lack of consensus regarding the relevance of various factors influencing consumer’s intention to purchase organic food. The purpose of this study is to asses the impact of subjective and personal norms on consumer attitude toward buying organic food. Moreover, this study aims to explore the moderating role of contextual factors - product knowledge and consumer scepticism on the norms- attitude link. Data were collected through an online survey on a sample of 212 organic food buyers in Bosnia and Herzegovina. Moderated regression analysis was used to test the hypothesized relations between the constructs of interest. Findings indicate the subjective and personal norms are positively and significantly related to consumer attitude toward organic food purchases. Also, our findings revealed that product knowledge strengthens the subjective norms-attitude relationship, while consumer scepticism toward organic food claims weakens the subjective norms-attitude link. This study informs producers, marketers, and policy-makers about the relative importance of norms, scepticism, and knowledge in the context of organic food consumption.

Electrical measurement of degradation in metal films induced by high thermo-mechanical stress is not possible. Therefore, different imaging methods are used in practice to visualize the changes in material microstructure. In this work, SEM (Scanning Electron Microscopy) cross section images of the metal layer of interest that illustrate the fatigue induced degradation and material microstructure are analyzed. We propose an unsupervised algorithm for detection and quantitative assessment of the damage in mentioned images. In the first stage of the algorithm, the metal layer of interest is extracted from the background using k-Means method. In the second stage, the non-local means (NL-means) denoising method with automatically computed standard noise deviation followed by post-processing and k-Means is used to detect the damage patterns. Visual and quantitative evaluation of results reveals that the algorithm provides robust and plausible results.

Low-velocity layers within the crust can indicate the presence of melt and lithologic differences with implications for crustal composition and formation. Seismic wave conversions and reverberations across the base of the crust or intracrustal discontinuities, analysed using the receiver function method, can be used to constrain crustal layering. This is commonly accomplished by inverting receiver functions jointly with surface wave dispersion. Recently, the proliferation of model-space search approaches has made this technique a workhorse of crustal seismology. We show that reverberations from shallow layers such as sedimentary basins produce spurious low-velocity zones when inverted for crustal structure with surface wave data of insufficiently high frequency. Therefore, reports of such layers in the literature based on inversions using receiver function data should be re-evaluated. We demonstrate that a simple resonance-removal filter can suppress these effects and yield reliable estimates of crustal structure, and advocate for its use in receiver-function based inversions.

Introduction: Chronic HCV infection is chronic inflamatory liver disease caused by hepatitis C virus. Anti HCV prevalence among intravenous drug users (IVDU) is very high and it accounts 40% -90% (60%-90%) with the risk of 80% of developing the chronic infection. Aim: The aims of this study were: a) to compare clinical characteristics of chronic HCV infection among IVDU and non-users population and to detect their impact to treatment outcome; b) to investigate the treatment efficacy comparing sustained viral response (SVR) in these two populations in Tuzla Canton. Patients and methods: The study was retrospective-prospective and included 45 IVDU of both sexes from Tuzla Canton which were treated from chronic HCV infection with Pegilated interferon 2a/2b + ribavirin in the Clinic for Infectious Diseases and Clinic for Internal Disease of University Clinical Centre in Tuzla. The control group were presented by non-users who completed therapy in both Clinics. For statistical analyses it was used statistical package SPSS 20,0 (SPSS Inc, Chicago, IL, USA) with tests of descriptive statistics with measures of central tendency and dispersion. Quantitative variables were tested by t-test or by Mann-Whitney test. Qualitative variables were tested by hi-square test or by Fisher’s test. The standard analyse of level’s risk was used too. The analyse of predictive value of EVR for achieving the ETR and SVR was done by cross-tabulation. The impact of known factors for achieving the SVR was evaluated by logistic regression analyses. All tests were done with statistical level of significance of 95% (p=0,05). Results: Men were more dominant in the test group (93,3% / 61,7%), also younger age (p<0,001) and lower BMI (p=0,019). The test group had significant higher basal values of Le, Hb, Plt and ALT and tendency to lower stages of fibrosis (p=0,08). The difference in genotype frequencies was statistically significant (p=0,001) with clearly dominance of G3 and G4 among IVDU. Treatment was not complited by two patients in both groups (4,4% /3,3%). EVR was significantly higher in test group (p=0,001) so did the ETR (p=0,002) and SVR (p<0,001). Predictive factors for SVR were: age (negative predictive factor), male sex, absence of reduction of pegilated interferon and ribavirin, Metavir stage of fibrosis and presence of EVR. Conclusion: Population of IVDU were adherent to treatment protocol and with excellent treatment response they justified the hope of health care workers for success treatment of this population.

In this work, we develop a framework that jointly decides on the optimal location of wireless extenders11Wireless extenders are wireless devices used to extend the coverage area of a main access point; they are also called mesh points, since the main access point refers to a mesh gateway in a WMN. and the channel configuration of wireless extenders and access points (APs) in a Wireless Mesh Network (WMN). Artificial Intelligence (AI) is adopted to support network autonomy and to capture insights on system and environment evolution. We propose a Self-X (self-optimizing and self-learning) framework that encapsulates both environment and intelligent agent to reach optimal operation through sensing, perception, reasoning and learning, in a truly autonomous fashion. The agent derives adequate knowledge from previous actions, improving the quality of future decisions. Extensive simulations are run to validate its fast convergence, improved throughput and resilience to dynamic interference conditions.