A mixed DNA profile controversy revisited

Semaan et al. (J Forensic Res, 2020, 11, 453) discuss a mock case “where eight different individuals [P₁ through P₈] could not be excluded in a mixed DNA analysis. Even though … expert DNA mixture analysis software was used.” Two of these are the true donors. The LRs reported are incorrect due to the incorrect entry of propositions into LRmix Studio. This forced the software to account for most of the alleles as drop-in, resulting in LRs 60–70 orders of magnitude larger than expected. P₁, P₂, P₄, P₅, and P₈ can be manually excluded using peak heights. This has relevance when using LRmix which does not use peak heights. We extend the work using the same two reference genotypes who were the true contributors as Semaan et al. (J Forensic Res, 2020, 11, 453). We simulate three two-donor mixtures with peak heights using these two genotypes and analyze using STRmix?. For the simulated 1:1 mixture, one of the non-donors’ LRs supported him being a contributor when no conditioning was used. When considered in combination with any other potential donors (i.e., with conditioning), this non-donor was correctly eliminated. For the 3:1 mixture, all results correctly supported that the non-donors were not contributors. The low-template 4:1 mixture LRs with no conditioning showed support for all eight profiles as donors. However, the results from pair-wise conditioning showed that only the two ground truth donors had LRs supporting that they were contributors to the mixture. We recommend the use of peak heights and conditioning profiles, as this allows better sensitivity and specificity even when the persons share many alleles.     

Inclusivity in Online Platforms: Recruitment Strategies for Improving Participation of Diverse Sociodemographic Groups

Governments are increasingly implementing smart and digital approaches to promoting citizen participation. However, whether online participation platforms are tools that improve inclusivity in citizen participation remains underexplored. To address this gap, this article focuses on the role of recruitment messages and their effect on participation in an online participation platform by gender and age. A field experiment with a neighborhood census sample (N = 6,066) shows that online participation dips for younger and older citizens and is equal among women and men. For the age groups between 60 and 75, differences in the control and intervention recruitment messages significantly impacted participation. These findings can help public managers tailor recruitment strategies to facilitate inclusive participation and represent a first step toward learning what types of messages are effective for whom.     

Alcohol,Policy and Politics in Kazakhstan

Alcohol consumption in post-communist Kazakhstan remains at high levels and episodic heavy drinking, characteristic of the spirits-drinking regions of the former USSR, is still the national drinking style. Reported levels of alcohol-related harm are rising but assessment of trends in levels of consumption and harm is hindered by the disruption to data collection in the post-independence period and the continuing poor availability of public information. There is evidence however that changes in the republic's ethnic profile are connected with a downward trend in overall consumption rates, though changes in lifestyles may be leading to more drinking amongst women and young people. The numbers undergoing treatment for alcohol problems are greater than ever before. Alcohol problems are still perceived as entrenched and non-urgent, but in the present climate of greater stability and prosperity they are beginning to attract more attention from government. Underlying policy trends will depend on the overall direction of Kazakhstan's political and cultural development. This article assesses drinking patterns and related problems in Kazakhstan, and examines government responses and policies. The article is based on documentary research, visits to organisations and interviews.