"Cutting for love": genital incisions to enhance sexual desirability and commitment in KwaZulu-Natal, South Africa

Several studies have documented women's use of vaginal practices in South Africa to enhance their desirability to men. This article describes a little known practice of this kind among women in KwaZulu-Natal. It involves the use of small incisions in the genital area (and often abdomen and breasts) to introduce herbal substances, described as love medicines, into the body through the incisions. In-depth interviews were carried out with 20 key informants and 20 women, and eight focus group discussions with women and men, in a rural and urban site in 2005-06. A province-wide household survey was then conducted using a multi-stage cluster sample design among 867 women aged 18-60. Forty-two per cent of the women in the household survey had heard of genital incisions; only 3% had actually used them. The main motivation was the enhancement of sexual attractiveness and long-term partner commitment. It appears to be a very recent practice, but may be an extension of an older healing practice not involving the genitals. It was most prevalent among rural women aged 24-29 (although not significant), those with less education, and those who suspected their partners of having other partners. It is linked to the modern popularity of love medicines, which in turn illustrates the troubling state of gender relations in KwaZulu-Natal today.

A framework for benchmarking of homogenisation algorithm performance on the global scale

The International Surface Temperature Initiative (ISTI) is striving towards substantively improving our ability to robustly understand historical land surface air temperature change at all scales. A key recently completed first step has been collating all available records into a comprehensive open access, traceable and version-controlled databank. The crucial next step is to maximise the value of the collated data through a robust international framework of benchmarking and assessment for product intercomparison and uncertainty estimation. We focus on uncertainties arising from the presence of inhomogeneities in monthly mean land surface temperature data and the varied methodological choices made by various groups in building homogeneous temperature products. The central facet of the benchmarking process is the creation of global-scale synthetic analogues to the real-world database where both the "true" series and inhomogeneities are known (a luxury the real-world data do not afford us). Hence, algorithmic strengths and weaknesses can be meaningfully quantified and conditional inferences made about the real-world climate system. Here we discuss the necessary framework for developing an international homogenisation benchmarking system on the global scale for monthly mean temperatures. The value of this framework is critically dependent upon the number of groups taking part and so we strongly advocate involvement in the benchmarking exercise from as many data analyst groups as possible to make the best use of this substantial effort.

A study of the time complexity of an Elitist Genetic Algorithm used for associating optical observations of MEO and GEO Space Debris

Currently several thousands of objects are being tracked in the MEO and GEO regions through optical means. The problem faced in this framework is that of Multiple Target Tracking (MTT). In this context both the correct associations among the observations, and the orbits of the objects have to be determined. The complexity of the MTT problem is defined by its dimension S. Where S stands for the number of ’fences’ used in the problem, each fence consists of a set of observations that all originate from dierent targets. For a dimension of S ˃ the MTT problem becomes NP-hard. As of now no algorithm exists that can solve an NP-hard problem in an optimal manner within a reasonable (polynomial) computation time. However, there are algorithms that can approximate the solution with a realistic computational e ort. To this end an Elitist Genetic Algorithm is implemented to approximately solve the S ˃ MTT problem in an e cient manner. Its complexity is studied and it is found that an approximate solution can be obtained in a polynomial time. With the advent of improved sensors and a heightened interest in the problem of space debris, it is expected that the number of tracked objects will grow by an order of magnitude in the near future. This research aims to provide a method that can treat the correlation and orbit determination problems simultaneously, and is able to e ciently process large data sets with minimal manual intervention.