Identification of Opioids and Related Substances using Handheld Raman Spectrometers

This study describes the performance of handheld Raman devices for detecting one hundred opioids and related substances including fentanyl and several analogs. Using a single “parent” device, signatures (spectra) with excellent signal-to-noise ratios were generated using <5 mg of most compounds. The signatures were added to a method (library), which was electronically transferred to three “daughter” devices. The devices were able to discriminate different salt forms and isomers. On average, the daughter devices yielded a true-positive rate of 97.3% for generating an alarm for opioids and were 93.3% effective for correctly identifying the opioid. The devices yielded true-negative, false-positive and false-negative rates of 100%, 0%, and 2.7%, respectively, where false negatives were due to weak signal and fluorescence. These data demonstrate that the parent-daughter electronic transfer method was successful and effective, which permits the ability to develop methods in the laboratory that can be seamlessly pushed out to field devices.     

Mechanisms for policy (dis)integration: explaining food policy and climate change adaptation policy in the Netherlands

Policy Sciences - Recent years have witnessed increased political interest to the challenge of organizing policy integration to govern societal problems that crosscut the boundaries of traditional...     

The subjectivist-contrarian position

Public Choice - James Buchanan endorses a radical version of subjectivism at several points in his body of work. I distinguish two distinct criteria for subjectivism in Buchanan. First, Buchanan...     

Social media taxation and its impact on Africa's economic growth

Technology affordances enable citizens to digitally connect and collectively act towards realization of established economic goals of a given country. This paper contributes to scholarly discussions on the effects of social media tax on Africa's economic growth. For African economies to grow, there is need to abolish social media tax and device means through which social media discussions that generate billions of data are captured and analyzed to guide policymaking processes aimed at economic growth. We connote that social media tax disengages the government from its citizens that access information through social media platforms. The tax is a hindrance to realization of the Science, Technology and Innovation Strategy for Africa (STISA‐2024) and the African Union (AU) Agenda 2063.     

Policy change in nascent subsystems: Mozambican higher education policy 1993–2003

The Advocacy Coalition Framework (ACF), developed by Sabatier and Jenkins-Smith in the late 1980s, has proven to be a valuable theory to explain policy change. At the same time, however, researchers have identified limitations in the ACF relating to various dimensions such as definitions of key variables, their operationalization, and the universal applicability of the framework to any context, be it Europe, the US, or countries outside the OECD. The key question addressed in this article is whether the ACF, like most other established public policy theories or frameworks developed in a western industrialized context, can be applied to very young (sub)systems in volatile contexts. We try to answer this question by applying the ACF to the development of the Mozambican higher education subsystem, a subsystem that fits the conditions of volatility and nascence. On the one hand this subsystem is characterized by a turbulent environment and a weak democracy. On the other hand, the higher education subsystem is built practically from scratch. The findings of the study suggest that the ACF is built on basic assumptions that do not apply to a country with a high degree of civil and political turbulence. Some revisions need to be made to improve the ACF’s fit to such a context.