Limited Role of Body Satisfaction and Body Image Self-Consciousness in Sexual Frequency and Satisfaction in Pregnant Women

This cross-sectional study examined the role of maternal body image and body image self-consciousness in sexual satisfaction and intercourse frequency during pregnancy when controlling for satisfaction with partnership. Pregnant women in their third trimester of pregnancy (N = 150) participated in the study. Body image was measured by the Body Areas Satisfaction Scale (BASS) and Body Image Self-Consciousness Scale (BISC), while relationship satisfaction was measured by different subscales of the Perceived Quality of Marital Relationship (PQMR) Scale. Sexual satisfaction was also measured by one of the subscales of the PQMR (Intimate Relationship). The sexual behavior questionnaire comprised questions about frequency of sexual intercourse, desire, and other aspects of sexual functioning as well as the reasons that might prevent women from having intercourse during pregnancy. Findings suggested that satisfaction with body image and body image self-consciousness were related to sexual satisfaction. Nevertheless, other aspects of partnership, such as communication, appeared to be much more important predictors of sexual satisfaction than body image variables. The best predictor of sexual frequency was fear that intercourse might harm the fetus. Implications for education about sexuality issues in pregnancy are discussed.     

On probabilistic parametric inference

This paper formulates a theory of probabilistic parametric inference and explores the limits of its applicability. Unlike Bayesian statistical models, the system does not comprise prior probability distributions. Objectivity is imposed on the theory: a particular direct probability density should always result in the same posterior probability distribution. For calibrated posterior probability distributions it is possible to construct credible regions with posterior-probability content equal to the coverage of the regions, but the calibration is not generally preserved under marginalization. As an application of the theory, the paper also constructs a filter for linear Gauss–Markov stochastic processes with unspecified initial conditions.     

Marshall–Olkin q-Weibull distribution and max–min processes

In this paper, we introduce a new probability model known as Marshall–Olkin q-Weibull distribution. Various properties of the distribution and hazard rate functions are considered. The distribution is applied to model a biostatistical data. The corresponding time series models are developed to illustrate its application in times series modeling. We also develop different types of autoregressive processes with minification structure and max–min structure which can be applied to a rich variety of contexts in real life. Sample path properties are examined and generalization to higher orders are also made. The model is applied to a time series data on daily discharge of Neyyar river in Kerala, India.     

Estimation of flood frequencies from data sets with outliers using mixed distribution functions

In this paper the estimation of high return period quantiles of the flood peak and volume in the Kolubara River basin are carried out. Estimation of flood frequencies is carried out on a data set containing high outliers which are identified by the Rosner’s test. Simultaneously, low outliers are determined by the multiple Grubbs–Beck. The next step involved the usage of the mixed distribution functions applied to a data set from three populations: floods with low outliers, normal floods and floods with high outliers. The contribution of the data set with low outliers is neglected, since it should underestimate the flood quantiles with large return periods. Consequently, the best fitted mixed distribution from the applied types (EV1, GEV, P3 and LP3) was determined by using the minimum standard error of fit.     

Goodness-of-fit tests for Pareto distribution based on a characterization and their asymptotics

In this paper we present a new characterization of the Pareto distribution and consider goodness-of-fit tests based on it. We provide an integral and Kolmogorov–Smirnov-type statistics based on U-statistics and we calculate Bahadur efficiency for various alternatives. We find locally optimal alternatives for those tests. For small sample sizes, we compare the power of those tests with some common goodness-of-fit tests.     

The Volunteer Satisfaction Index: A Validation Study in the Cultural Context of the Two European Titles—Youth 2019 and Culture 2021, Novi Sad,Serbia

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - Conducting a study on a sample of 303 participants from the Novi Sad Voluntary Service we set out to validate the...     

Does it pay to care? Volunteering and employment opportunities

We investigate whether volunteering has a causal effect on individual employment opportunities. To this end, a field experiment is conducted in which volunteering activities are randomly assigned to fictitious job applications sent to genuine vacancies in Belgium. We find that volunteers are 7.3 percentage points more likely to get a positive reaction to their job applications. The volunteering premium is higher for females but invariant with respect to the number of engagements.     

Contingency and Social Change: Collective Engagement in Conditions of Radical Uncertainty

This paper addresses the nexus between contingency, social engagement and change, through investigating the potential of severe (“disruptive”) contingency to bring about new forms of joint agency. By challenging Boltanski's notion of existential tests (which can only be experienced in isolation), the paper argues that social actors can experience disruptive contingent events in an inherently intersubjective manner. Although they severely hinder social interaction, disruptive contingent events enable a possibility of what might be called “negative common knowledge” between social actors which in turn renders certain societal norms meaningless. This possibility is mediated through processes of mutual engagement (calls between actors) that could, further, be transformed into a new “norm circle” (Dave Elder-Vass). Social domination – in particular its “complex” variety – in this context appears as the obstructing of such transformation. A recent political episode in Serbia is analyzed to demonstrate the emancipatory potential of contingency and the logic of complex domination.     

Impact of technology-intensive exports on GDP of Western Balkan Countries

This paper aims to determine, by means of regression analysis, which exported product groups, categorized according to their technological intensity, have the greatest effect on the movements in the volume of GDP p/c of the Western Balkan Countries (WBCs). The analysis, based on statistical-econometric methodology, includes 16 commodity groups per each WBC (Albania; Bosnia and Herzegovina; Croatia; FYR Macedonia; Montenegro; Serbia). The data were collected and presented in accordance with the HS4 system classification, which is also used for development of the ITC’s Trade Map. The results of the analysis show that those commodity groups produced by medium-low and low technology industries have the greatest effect on the change in the volume of GDP p/c in all WBCs in the period 2005–2015.