Background One in three women from lower and middle-income countries are subjected to physical and/or sexual intimate partner violence (IPV) in their life span. Prior studies have highlighted a range of adverse health impacts of sexual IPV. However, less is known about the link between multiple high-risk fertility behaviours and sexual intimate partner violence. The present study examines the statistical association between multiple high-risk fertility behaviours and sexual intimate partner violence among women in India. Methods The present study used a nationally representative dataset, the National Family Health Survey (NFHS-4) 2015–16. A total of 23,597 women were included in the study; a subsample of married women of reproductive age who have had at least one child 5 years prior to the survey and who had valid information about sexual IPV. Logistic regression models were employed alongside descriptive statistics. Results Approximately 7% of women who are or had been married face sexual IPV. The prevalence of sexual violence was higher among women who had short birth intervals and women who had given birth more than three times (12%). Around 11% of women who had experienced any high-risk fertility behaviours also experienced sexual violence. The unadjusted association suggested that multiple high-risk fertility behaviours were 32% (UORs = 1.32, 95% CI: 1.16–1.50) higher for those women who experienced sexual violence. After adjusting for other sociodemographic variables, except for women’s education and wealth quantile, the odds of multiple high-risk fertility behaviours were 16% (AOR = 1.16; 95% CI: 1.02–1.34) higher among women who faced sexual violence. The inclusion of women’s educational attainment and wealth status in the model made the association between sexual IPV and high-risk fertility behaviours insignificant. Conclusion Sexual intimate partner violence is statistically associated with high-risk fertility behaviours among women in India. Programs and strategies designed to improve women’s reproductive health should investigate the different dimensions of sexual IPV in India.

Artificial levees along alluvial rivers are major components of flood-risk mitigation. This is especially true in the case of Hungary, where more than one-third of the country is threatened by floods and protected by an over 4200-km-long levee system. Most of such levees were built in the nineteenth century. Since then, several natural and anthropogenic processes, such as compaction and erosion, might have contributed to these earth structures' slow but steady deformation. Meanwhile, as relevant construction works were scarcely documented, the structure and composition of artificial levees are not well known. Therefore, the present analysis mapped structural differences, possible compositional deficiencies, and sections where elevation decrease is significant along a 40-km section of the Lower Tisza River. Investigations were conducted using real-time kinematic GPS and ground-penetrating radar (GPR). Onsite data acquisition was complemented with an analysis using a Persistent Scatterer Synthetic Aperture Radar to assess general surface deformation. GPR profiles showed several anomalies, including structural and compositional discontinuities and local features. The GPR penetration depth varied between 3 and 4 m. According to height measurements, the mean elevation of the levee crown decreased by 8 cm in 40 years. However, the elevation decrease reached up to 30 cm at some locations. Sections affected by structural anomalies, compositional changes, and increased surface subsidence are especially sensitive to floods when measurement results are compared with flood phenomena archives.

A methodology is presented to rank universities on the basis of the lists of programmes the students applied for. We exploit a crucial feature of the centralised assignment system to higher education in Hungary: a student is admitted to the first programme where the score limit is achieved. This makes it possible to derive a partial preference order of each applicant. Our approach integrates the information from all students participating in the system, is free of multicollinearity among the indicators, and contains few ad hoc parameters. The procedure is implemented to rank faculties in the Hungarian higher education between 2001 and 2016. We demonstrate that the ranking given by the least squares method has favourable theoretical properties, is robust with respect to the aggregation of preferences, and performs well in practice. The suggested ranking is worth considering as a reasonable alternative to the standard composite indices.