This paper is dedicated to transient studies on wind turbine blade due to different types of lightning discharges. In order to select the appropriate lightning protection system, it is necessary to identify the parameters of lightning flash. Therefore, measured lightning flashes are presented and analyzed. Simulations have been conducted in EMTP - RV. In the case when lightning hits the blade of wind turbine transient voltage on tower top, voltages on tower footing resistance and on primary side of transformer are considered.

In this paper Failure Mode and Effects Analysis (FMEA) for a large scale multirotor systems (with moving mass) based on novel system for aircraft control will be presented. This system uses four petrol engines for lift and a moving mass system to control the vehicle. Analysis presented in this paper assesses the vulnerabilities of the system during the vehicle operation. The main objective of the analysis is to understand the cause and severity of the failures that can occur to the petrol engines and the moving mass system. Our unmanned aerial vehicle system is used for environmental monitoring and maritime security developed under MORUS project funded under NATO SPS Program. The ultimate goal of our research and design is to make an unmanned aerial vehicle that can lift larger amount of load (approximately 40kg). During its operation time the unmanned aerial vehicle might fail to complete a certain assignment so failure mode and effects analysis is needed to account for such problems and to find appropriate activities to reduce the overall risk the system faces during the mission.

This paper describes a detailed transmission line model for a transient analysis. Line surge arrester energy sharing and importance of complete transmission line modelling is explained. Lightning channel impedance and tower footing resistance are important parameters that influence line surge arrester energy duty. Therefore, energy stresses of transmission line surge arresters due to different values of lightning channel impedance and nonuniform distribution of tower footing resistance are considered.

The power system (PS) evolves with the introduction of new technologies in the sectors of production, transmission, distribution and control of electricity consumption. The philosophy of PS control, operation and management is changing. The public low-voltage network (LVN) faces the major changes due to integration of new smart grid technologies. The integration of photovoltaic power plants (PVPPs) and Energy Storage System (ESS) in LVN is a focus of this paper. Three scenarios are considered: (1) analysis of LVN without PVPPs and ESS, (2) analysis of LVN with PVPPs, where LVN is treated as energy storage (ES), (3) analysis of LVN with PVPPs and ESS. The novel algorithm for ESS control aiming to peak load reduction is presented in the paper. Losses and voltage conditions are analyzed on all LVN buses. The slow voltage variations analysis is carried out according to the EN50160 standard. It was shown that the connection of the ESS has negligible impact on losses in LVN. Slow voltage variations are within limits defined by standard EN50160 for all considered scenarios.

In shared human-robot environments, control systems operate based on the information about both human and robot activities to facilitate the successful collaboration between the two. This paper contributes to the emerging field of human-robot collaboration (HRC) by unifying human action recognition (HAR) and high-level robot control technique into single control system. Approach in this paper includes artificial neural network based classifier for recognition of human activity and task-based control as an example of high-level control technique. Classifier is developed based on the data from wearable sensors attached on the human arms. Recognized human activity is used as the input for the selection of functions that describe robot's activity (task). This papers combines both the theoretical approach to the task-based control and it's synergy with HAR while the developed artificial neural network classifier is experimentally validated.

Background: Allergic contact dermatitis (ACD) is a delayed type of hypersensitivity from contact with a specific allergen to which the patients has developed a specific sensitivity. The aim of the study was to evaluate the results of epicutaneous patch testing with standard series of contact allergen in patients suspected to have ACD. Methods: 355 cases of ACD were included in the study. Test substances were applied on the upper part of the patient’s back, on clinically uninvolved and untreated skin. All patients were free from therapy with oral antihistamines, steroids and immunosuppressants. The patch test was removed and reaction were evaluated after 48 h and 72 h. Grading of negative (-) to positive (+ to ++++) patch test was done according to the International Contact Dermatitis Research Group. Statistical data analysis was performed by using χ2–test. Results: Of the 355 cases, 146 patients were male (41.1%) and 209 were female (58.9%). The youngest patients in the study was 16 years of age and the oldest was 67 years of age. The commonest age group affected was 41-50 years. Hands were the most common site of involvement. The occupational character of skin lesions was find in 75 (21.1%). The most common positive reactions were recorded to nickel sulphate 99 (27.8%), cobalt chloride 46 (12.9%), thimerosal 31 (8.7%), colophony 23 (6.5%), carba mix 21 (5.9%), potassium dichromate 20 (5.6%), acid chromici 19 (5.3%), fragrance mix 18 (5%), balsam of Peru 13 (3.7%), formaldehyde 9 (2.5%), and other allergens 26 (7.3%). Females were significantly more likely to show a positive response to two or more allergens (p<0.05). There was no statistically significant impact of age, occupation and duration of disease on results of patch testing (p>0.05). Conclusions: Our results indicate that nickel sulphate, cobalt chloride and thimerosal are the most common allergens responsible for induction of ACD. These findings are crucial in the treatment, long term management, an education of patients with ACD.

This work was financially supported by: Project POCI-01-0145-FEDER-007457 (CONSTRUCT - Institute of R&D in Structures and Construction) and by project POCI-01- 0145-FEDER-007633 (ISISE), funded by FEDER funds through COMPETE2020 - Programa Operacional Competitividade e Internacionalizacao (POCI), and by national funds through FCT - Fundacao para a Ciencia e a Tecnologia. FCT and FEDER (COMPETE2020) are also acknowledged for the funding of the research project IntegraCrete PTDC/ECMEST/1056/2014 (POCI-01-0145-FEDER-016841). The financial support of COST Action TU1404 through its several networking instruments is also gratefully acknowledged.

INTRODUCTION West Nile virus (WNV) immunoglobulin M (IgM) antibodies have been shown to persist for up to 500 days in certain patients. To evaluate the usefulness of immunoglobulin G (IgG) avidity assessment in the diagnosis of WNV infection, we analyzed 54 WNV IgM- and/or IgG-positive serum samples from 39 patients with neuroinvasive disease and 15 asymptomatic cases tested during a seroprevalence investigation. METHODS Serological tests (WNV IgM/IgG antibody detection, IgG avidity) were performed using commercially available enzyme-linked immunosorbent assays. RESULTS WNV IgM antibodies were detected in 47 (87%) samples. Acute/recent WNV infection was confirmed based on low/borderline avidity index (AI) in 44 IgM-positive samples (93.6%). In three IgM-positive samples (6.4%), high IgG AIs were detected, thus indicating persisting IgM antibodies from previous infections. All IgM-negative samples showed high AIs. Patients with WNV neuroinvasive disease tested within 30 days showed low AIs. In six patients tested 34-50 days after disease onset, AI was borderline (42%-60%), suggesting earlier WNV IgG maturation. Samples with the highest IgM values were associated with the lowest AIs (Spearman's rho coefficient -0.767, p < 0.001). CONCLUSIONS Our results indicate that IgG avidity differentiates current/recent WNV infection from persistent IgM seropositivity from the previous WNV transmission season both in patients with WNV neuroinvasive disease and in asymptomatic persons. A strong negative correlation between IgM antibody levels and AI indicates that in cases with very high IgM levels, determination of IgG avidity may not be necessary. As many patients showed rapid avidity maturation, low IgG avidity is indicative of WNV infection within the previous month.

This article deals with the normative trajectory of the constitutional right to a quality education, in the interdisciplinary perspective of Education and Law. It is linked to the activities of Master's Research in School of Education by Unesp – FCLAr and to the interdisciplinary studies of the Research Group on Educational Public Policies in Brazil, presented orally in the XII EIDE – Ibero-American Meeting of Education in Alcala in Spain. On methodological basis of qualitative research in education articulated to the hypothetical deductive methodology and argumentative-dialectical juridical analysis with emphasis on documental research with legal basis. It was prioritized to address the Brazilian Constitution of 1988 (CF), the Statute of the Child and Adolescent (ECA) and the Law of Basic Guidelines of Education – Law 9.394/96 (LDB). It is worth noting the social relevance of this issue, it was approached the importance in the training of legal professionals iterated on the subject for the effective realization of this subjective public right and the quality indicators for the community.