Financial education for HIV-vulnerable youth, orphans, and vulnerable children: A systematic review of outcome evidence.

Problem: According to Joint United Nations Programme on HIV/AIDS (UNAIDS) and the World Health Organization, HIV is the leading cause of youth mortality in Africa, and the second cause of death among young people worldwide. Global commitments to reverse the HIV epidemic will only be achieved if strategies prioritize children and youth. Relevant evidence reviews found mixed evidence that HIV prevention may be addressed through economic strengthening activities such as financial education for youth. There was some evidence related to the potential for plural interventions that include both financial and sexual, reproductive health education. However, there is limited quality evidence that focused on HIV vulnerable youth in low- and middle-income countries (LMICs). Aims: This systematic review assessed the scope and strength of evidence for financial education and plural interventions aimed at reducing HIV vulnerability for youth, orphans and vulnerable children (OVC) in LMICs. Methods: Standard methodological procedures expected of systematic reviews were used. Six scientific and 24 grey literature sites were searched for relevant studies in English, French, Spanish and Arabic published between 1990 and 2016. Experimental and quasi-experimental research methods were considered where data was gathered at baseline and at least 6 months after the end of the intervention. Mixed-methods studies were considered provided they demonstrated validity in terms of randomization, appropriate sampling and controls, and minimization of bias errors and attrition. Evidence was then analysed and mapped to show types of financial and plural interventions by outcome type, direction and strength of evidence through qualitative assessments by the team. In addition, meta-analysis of odds ratios was conducted to validate the strength of evidence. This analysis illustrated the relative effect or weight of interventions on HIV-related outcomes based on confidence levels and sample sizes. Results: Of 5,216 records, 16 moderate to higher quality studies representing 10 interventions were identified, mostly focusing on HIV-vulnerable girls in Sub-Saharan Africa. More than half of the interventions were plural and included access to finance and counselling or supports to improve confidence, negotiating ability and social conditions. Most studies used an experimental design. Only 11 of the 16 studies had comparable enough measures to be validated with meta-analysis of odds ratios. Findings: The strongest evidence showed plural education interventions with self-efficacy supports, with and without savings to have positive effects on HIV-related outcomes. These outcomes included improved knowledge, attitudes and reduced sexual risk-taking behaviour. Evidence also showed improved self-efficacy from plural interventions, the changes in confidence, negotiating ability and social conditions that enable people to act on knowledge. Self-efficacy seems important as both a set of conditions to support reduced vulnerabilities and a way to measure them in terms of outcomes. While positive effects were also observed related to increased savings and improved attitudes toward saving, generally interventions showed mixed effects on financial and economic outcomes. Conclusions: This systematic review supports emerging evidence that plural interventions are associated with positive health and economic outcomes for vulnerable youth and children in LMIC. Even so, as a body of evidence, it is not clear which components are effective at producing favourable outcomes. Therefore, asset theories linking financial education and asset building with favourable outcomes for vulnerable youth are not as clear as may be commonly assumed. Quality evidence is needed in more settings separating out economic, health and self-efficacy components to better understand pathways and effects on outcomes. Segmentation in quantitative studies will enhance our understanding of asset, capability and self-efficacy theories for greater impact. Mixed methods and qualitative studies will be important complements to enhance our understanding of contextual conditions and how to build assets and self-efficacy in HIV vulnerable youth and OVC.

Comparison of Metal-Backed Free-Space and Open-Ended Coaxial Probe Techniques for the Dielectric Characterization of Aeronautical Composites.

The trend in the last few decades is that current unmanned aerial vehicles are completely made of composite materials rather than metallic, such as carbon-fiber or fiberglass composites. From the electromagnetic point of view, this fact forces engineers and scientists to assess how these materials may affect their radar response or their electronics in terms of electromagnetic compatibility. In order to evaluate this, electromagnetic characterization of different composite materials has become a need. Several techniques exist to perform this characterization, all of them based on the utilization of different sensors for measuring different parameters. In this paper, an implementation of the metal-backed free-space technique, based on the employment of antenna probes, is utilized for the characterization of composite materials that belong to an actual drone. Their extracted properties are compared with those given by a commercial solution, an open-ended coaxial probe (OECP). The discrepancies found between both techniques along with a further evaluation of the methodologies, including measurements with a split-cavity resonator, conclude that the implemented free-space technique provides more reliable results for this kind of composites than the OECP technique.

Non-cooperative target recognition by means of singular value decomposition applied to radar high resolution range profiles.

Radar high resolution range profiles are widely used among the target recognition community for the detection and identification of flying targets. In this paper, singular value decomposition is applied to extract the relevant information and to model each aircraft as a subspace. The identification algorithm is based on angle between subspaces and takes place in a transformed domain. In order to have a wide database of radar signatures and evaluate the performance, simulated range profiles are used as the recognition database while the test samples comprise data of actual range profiles collected in a measurement campaign. Thanks to the modeling of aircraft as subspaces only the valuable information of each target is used in the recognition process. Thus, one of the main advantages of using singular value decomposition, is that it helps to overcome the notable dissimilarities found in the shape and signal-to-noise ratio between actual and simulated profiles due to their difference in nature. Despite these differences, the recognition rates obtained with the algorithm are quite promising.

Computational burden resulting from image recognition of high resolution radar sensors.

This paper presents a methodology for high resolution radar image generation and automatic target recognition emphasizing the computational cost involved in the process. In order to obtain focused inverse synthetic aperture radar (ISAR) images certain signal processing algorithms must be applied to the information sensed by the radar. From actual data collected by radar the stages and algorithms needed to obtain ISAR images are revised, including high resolution range profile generation, motion compensation and ISAR formation. Target recognition is achieved by comparing the generated set of actual ISAR images with a database of ISAR images generated by electromagnetic software. High resolution radar image generation and target recognition processes are burdensome and time consuming, so to determine the most suitable implementation platform the analysis of the computational complexity is of great interest. To this end and since target identification must be completed in real time, computational burden of both processes the generation and comparison with a database is explained separately. Conclusions are drawn about implementation platforms and calculation efficiency in order to reduce time consumption in a possible future implementation.