Reducing poverty in sub-Saharan Africa: the need for participatory governance

Traditional approaches to fighting poverty have yielded unsatisfactory results in some African countries, and have been positively damaging in others. Economic growth and social expenditure on the part of both national governments and international donors have been ineffective in some countries, while in others they have exacerbated poverty. The author considers that this is due to the absence of participatory governance. From a theoretical perspective, support for participatory governance stems from Amartya Sen's approach to understanding poverty, which conceptualises poverty as a lack of capabilities, leading to social exclusion. The lack of such governance has led to the failure of traditional approaches in the fight against poverty in sub-Saharan Africa. Finally, the author proposes a tool for assessing the quality of governance, and its application in Cameroon.     

Predicting work-related stress in correctional officers: A meta-analysis

The present review examined the predictors of job stress in correctional officers and marked the first meta-analysis of this topic area. Twenty studies were selected for inclusion, producing 191 individual effect size estimates. Overall, the findings revealed that work attitudes (i.e., participation in decision-making, job satisfaction, commitment, and turnover intention) and specific correctional officer problems (i.e., perceived dangerousness and role difficulties) generated the strongest predictive relationships with job stress. Furthermore, both favorable (i.e., human service/rehabilitation orientation and counseling) and unfavorable (i.e., punitiveness, custody orientation, social distance, and corruption) correctional officer attitudes yielded moderate relationships with job stress, with the country of study emerging as a critical moderating variable. The weakest correlates of job stress were demographic variables and job characteristics (e.g., security level). The implications of these findings are discussed and directions for future research are provided.     

The effect of zinc chloride, humidity and the substrate on the reaction of 1,2-indanedione-zinc with amino acids in latent fingermark secretions

Anecdotal evidence from forensic practitioners and studies conducted under controlled conditions have indicated that the reaction between 1,2-indanedione and the amino acids present in latent fingermark deposits is highly susceptible to ambient humidity. The addition of catalytic amounts of zinc chloride to the 1,2-indanedione working solution--usually in the order of 1:25 to 1:4 molar ratio (indanedione:zinc)--significantly improves the colour and luminescence of fingermarks treated under dry conditions but appears to have a negligible effect on fingermarks treated in humid environments. The results presented in this paper confirmed that zinc(II) ions added to the 1,2-indanedione working solution act as a Lewis acid catalyst, stabilising a key intermediate during a rate-limiting hydrolysis step. Furthermore, studying the reaction using a chromatography-grade cellulose substrate method previously reported confirmed that cellulose substrates play a major role in facilitating the indanedione-amino acid reaction by acting as a surface catalyst in the early stages of the reaction and by directing the formation of the desired luminescent product (Joullié's Pink).     

Identifying Diagonal Cutter Marks on Thin Wires Using 3D Imaging

We present work on matching 2‐mm‐thick wires using optical 3D imaging methods. Marks on such small surfaces are difficult to match using a comparison microscope as this 2D imaging method does not provide height data about the sample surface. Moreover, these 2D microscopy images may be affected by illumination. Hence, the reference and investigated sample should be present at the same time. We employed scanning white light interferometry and confocal microscopy to provide quantitative 3D profiles for reliable comparison of samples that are unavailable for simultaneous analysis. We show that 3D profiling offers a solution by allowing illumination‐independent sample comparison. We correctly identified 74 of 80 profiles using consecutive matching striae (CMS) criteria, and we were able to match samples based on profiles measured using different 3D imaging devices. The results suggest that the used methods allow matching cutter marks on thin wires, which has been difficult previously.     

Optimization of the separation of organic explosives by capillary electrophoresis with artificial neural networks

The separation of 12 explosives by capillary electrophoresis was optimized with the aid of artificial neural networks (ANNs). The selectivity of the separation was manipulated by varying the concentration of sodium dodecyl sulfate (SDS) and the pH of the electrolyte, while maintaining the buffer concentration at 10 mM borate. The concentration of SDS and the electrolyte pH were used as input variables and the mobility of the explosives were used as output variables for the ANN. In total, eight experiments were performed based on a factorial design to train a variety of artificial neural network architectures. A further three experiments were required to train ANN architectures to adequately model the experimental space. A product resolution response surface was constructed based on the predicted mobilities of the best performing ANN. This response surface pointed to two optima; pH 9.0-9.1 and 60-65 mM SDS, and pH 8.4-8.6 and 50-60 mM SDS. Separation of all 12 explosives was achieved at the second optimum. The separation was further improved by changing the capillary to an extended cell detection window and reducing the diameter of the capillary from 75 microm to 50 microm. This provided a more efficient separation without compromising detection sensitivity.