Os estilos de liderança nas organizações não governamentais da região metropolitana de Belém

This study aimed to analyze the leadership style adopted by managers of nongovernmental organizations in the metropolitan region of Belem on the theory of Hersey and Blanchard. This theory is called situational leadership ranks E1, E2, E3, E4 and the styles of leadership and maturity in parallel classes M1, M2, M3 and M4. This study examined the relationship of leadership styles with the maturity of work, identified the relationship of leadership styles as related to psychological maturity and job maturity and psychological maturity. The main objectives were to analyze and relate leadership styles with the maturity of the leaders and understand the phenomenon of leadership from the self-perception of those who lead the organizations studied. To achieve the objectives we used a questionnaire already validated the theory of situational leadership and applied in 320 non-governmental organizations in the metropolitan region of Belem The methodology was quantitative, descriptive and exploratory. The analysis was by descriptive statistics and inferential statistics for univariate and bivariate form, applying the chi-square, the V Crammer and Spearman correlation. The data analysis shows safety, attested to the frequencies, and average margin of error and after application of the tests it was found that a relationship between the leadership style of work with the maturity and psychological maturity. The managers of nongovernmental organizations practicing various styles of leadership and focus on the quadrant of high maturity. It was diagnosed when the manager uses only one style of leadership was the predominance of E3 "share or support", which represents 24% of the sample. As uses two styles of leadership is the predominance of E3 and E2, which represents 76%. So the managers of nongovernmental organizations in the metropolitan region of Belem, practicing a style of leadership support, sharing ideas for decision making using a democratic style

Influência do vírus da hepatite G (GBV-C) na resposta imune frente à infecção por Leishmania chagasi

GB virus type C (GBV-C) appears to promote a Th1 response and is associated with prolonged survival in HIV-infected people. L. chagasi causes a spectrum of illness that varies from severe visceral leishmaniasis, a disease that in the majority of cases is fatal if not treated, to self resolution of infection and development of positive DTH response that is protective against symptomatic disease. To determine if GBV-C viremia might influence the outcome of Leishmania infection, we characterized GBV-C status in a cohort of subjects residing in a L. chagasi endemic area in Brazil. GBV-C viremia was more prevalent in blood donors from urban than in periurban regions of Natal, Brazil (16% and 7.5% respectively). Evidence of prior GBV-C (anti-E2 antibodies) was detected in 24% and 12%of these groups respectively. Anti-E2 increased with age (p= 0.0121). No difference in GBV-C viremia was found in the DTH+ and VL groups (p= 0.269); however, subjects with visceral leishmaniasis were more likely to have anti-E2 than DTH+ subjects (p=0.0012), and DTH induration was smaller in subjects with E2 antibodies (4.5 mm) compared those without (7.12 mm) (p= 0.002). Furthermore, the size of the Leishmania DTH response was greater in GBV-C viremica subjects (6.8 mm) compared to non-viremic subjects (3.3 mm; p= 0.0054). There findings suggest that GBV-C virus may promote a type 1 immune response that could influence the outcome of Leishmania infection

Avaliação de concentrações do C-Telopeptideo de Colágeno (CTX) em mulheres no climatério

Fundação de Apoio à Pesquisa do Estado do Rio Grande do Norte

Previsão do módulo de elasticidade transversal de compósitos unidirecionais através de redes neurais mistas

The aim of this study is to create an artificial neural network (ANN) capable of modeling the transverse elasticity modulus (E2) of unidirectional composites. To that end, we used a dataset divided into two parts, one for training and the other for ANN testing. Three types of architectures from different networks were developed, one with only two inputs, one with three inputs and the third with mixed architecture combining an ANN with a model developed by Halpin-Tsai. After algorithm training, the results demonstrate that the use of ANNs is quite promising, given that when they were compared with those of the Halpín-Tsai mathematical model, higher correlation coefficient values and lower root mean square values were observed