THE DIFFERENTIAL IMPACT OF CORRUPTION ON MICROENTERPRISES IN RUSSIA

Over the past decade, the repressive legal and regulatory environment in transition economies has received considerable attention in the literature. In Russia, this framework has resulted in an environment in which rules and regulations govern almost all aspects of economic activity. The elaborate system of regulations with which firms must comply, in combination with a lack of accountability for regulatory enforcers, has created a corrupt cadre of government officials who frequently engage in rent-seeking behavior while monitoring and enforcing firm compliance. The objective of this paper is to investigate the manner in which corruption affects micro and small enterprises in Russia. Empirical evidence suggests that micro and small enterprises vary substantially in reporting how problematic corruption is for their enterprise. A theoretical model explores why extortion from regulators may occur in a non-uniform manner across firms. The theoretical model postulates that government regulators customize the nature of their rent-seeking activities towards, similar to a price-discriminating monopolist facing hidden information. The model shows that production technologies, input choices, and other firm characteristics such as location play a role in determining the bribe price that a regulator will charge a firm, as well as the number of times he will return to collect it. Supportive evidence comes from survey data collected on Russian microenterprises. The model described above is tested using econometrics, and numerical simulations.Political Economy,

Inkjet printing for pharmaceutics - A review of research and manufacturing.

Global regulatory, manufacturing and consumer trends are driving a need for change in current pharmaceutical sector business models, with a specific focus on the inherently expensive research costs, high-risk capital-intensive scale-up and the traditional centralised batch manufacturing paradigm. New technologies, such as inkjet printing, are being explored to radically transform pharmaceutical production processing and the end-to-end supply chain. This review provides a brief summary of inkjet printing technologies and their current applications in manufacturing before examining the business context driving the exploration of inkjet printing in the pharmaceutical sector. We then examine the trends reported in the literature for pharmaceutical printing, followed by the scientific considerations and challenges facing the adoption of this technology. We demonstrate that research activities are highly diverse, targeting a broad range of pharmaceutical types and printing systems. To mitigate this complexity we show that by categorising findings in terms of targeted business models and Active Pharmaceutical Ingredient (API) chemistry we have a more coherent approach to comparing research findings and can drive efficient translation of a chosen drug to inkjet manufacturing.This project was supported by (i) the UK Engineering and Physical Sciences Research Council and industrial partners in the Programme Grant number EP/H018913/1 ‘Innovation in Industrial Inkjet Technology’, (ii) EPSRC Centre for Innovative Manufacturing in Continuous Manufacturing and Crystallisation (EP/1033459/1) and (iii) Department of Business, Innovation and Skill’s (BIS) Advanced Manufacturing Supply Chain Initiative (AMSCI) funded Project ‘Remedies’ (TS/L006529/1).This is the author accepted manuscript. The final version is available from Elsevier via http://dx.doi.org/10.1016/j.ijpharm.2015.03.01

The importance of embracing complexity in rehabilitation

In practice, clinicians recognize that the effectiveness of a rehabilitative intervention will be influenced by a range of uncontrollable, interrelated factors.1 For at least 40 years, a holistic, ‘whole person’ approach has acknowledged, albeit implicitly, that many factors will affect the success of an intervention.2 These influences are numerous and relate to social, personal, political and cultural variables: the very elements which together form the complex context in which rehabilitation occurs.3, 4 The term ‘complexity’ is often used throughout rehabilitation; notions such as complexity in practice, complex patients and complex problems are all familiar enough.1, 5, 6 To understand what we mean by complexity, a contrast may be helpful: a system we think of as complicated has many intricate elements that, whilst they can interact with one another in several ways, do so in a linear and predictable fashion; within a complex system, however, these intricate elements interact in ways that cannot be easily understood or predicted.4 Consequently, it is simple enough to foretell the behaviour of a complicated system, but impossible to perform the same feat with a complex one

A response to “Likelihood ratio as weight of evidence: a closer look” by Lund and Iyer

Recently, Lund and Iyer (L&I) raised an argument regarding the use of likelihood ratios in court. In our view, their argument is based on a lack of understanding of the paradigm. L&I argue that the decision maker should not accept the expert’s likelihood ratio without further consideration. This is agreed by all parties. In normal practice, there is often considerable and proper exploration in court of the basis for any probabilistic statement. We conclude that L&I argue against a practice that does not exist and which no one advocates. Further we conclude that the most informative summary of evidential weight is the likelihood ratio. We state that this is the summary that should be presented to a court in every scientific assessment of evidential weight with supporting information about how it was constructed and on what it was based

Hot Stars and Cool Clouds: The Photodissociation Region M16

We present high-resolution spectroscopy and images of a photodissociation region (PDR) in M16 obtained during commissioning of NIRSPEC on the Keck II telescope. PDRs play a significant role in regulating star formation, and M16 offers the opportunity to examine the physical processes of a PDR in detail. We simultaneously observe both the molecular and ionized phases of the PDR and resolve the spatial and kinematic differences between them. The most prominent regions of the PDR are viewed edge-on. Fluorescent emission from nearby stars is the primary excitation source, although collisions also preferentially populate the lowest vibrational levels of H2. Variations in density-sensitive emission line ratios demonstrate that the molecular cloud is clumpy, with an average density n = 3x10^5 cm^(-3). We measure the kinetic temperature of the molecular region directly and find T_H2 = 930 K. The observed density, temperature, and UV flux imply a photoelectric heating efficiency of 4%. In the ionized region, n_i=5x10^3 cm^(-3) and T_HII = 9500 K. In the brightest regions of the PDR, the recombination line widths include a non-thermal component, which we attribute to viewing geometry.Comment: 5 pages including 2 Postscript figures. To appear in ApJ Letters, April 200

Using participatory design to develop (public) health decision support systems through GIS

<p>Abstract</p> <p>Background</p> <p>Organizations that collect substantial data for decision-making purposes are often characterized as being 'data rich' but 'information poor'. Maps and mapping tools can be very useful for research transfer in converting locally collected data into information. Challenges involved in incorporating GIS applications into the decision-making process within the non-profit (public) health sector include a lack of financial resources for software acquisition and training for non-specialists to use such tools. This on-going project has two primary phases. This paper critically reflects on Phase 1: the participatory design (PD) process of developing a collaborative web-based GIS tool.</p> <p>Methods</p> <p>A case study design is being used whereby the case is defined as the data analyst and manager dyad (a two person team) in selected Ontario Early Year Centres (OEYCs). Multiple cases are used to support the reliability of findings. With nine producer/user pair participants, the goal in Phase 1 was to identify barriers to map production, and through the participatory design process, develop a web-based GIS tool suited for data analysts and their managers. This study has been guided by the Ottawa Model of Research Use (OMRU) conceptual framework.</p> <p>Results</p> <p>Due to wide variations in OEYC structures, only some data analysts used mapping software and there was no consistency or standardization in the software being used. Consequently, very little sharing of maps and data occurred among data analysts. Using PD, this project developed a web-based mapping tool (EYEMAP) that was easy to use, protected proprietary data, and permit limited and controlled sharing between participants. By providing data analysts with training on its use, the project also ensured that data analysts would not break cartographic conventions (e.g. using a chloropleth map for count data). Interoperability was built into the web-based solution; that is, EYEMAP can read many different standard mapping file formats (e.g. ESRI, MapInfo, CSV).</p> <p>Discussion</p> <p>Based on the evaluation of Phase 1, the PD process has served both as a facilitator and a barrier. In terms of successes, the PD process identified two key components that are important to users: increased data/map sharing functionality and interoperability. Some of the challenges affected developers and users; both individually and as a collective. From a development perspective, this project experienced difficulties in obtaining personnel skilled in web application development and GIS. For users, some data sharing barriers are beyond what a technological tool can address (e.g. third party data). Lastly, the PD process occurs in real time; both a strength and a limitation. Programmatic changes at the provincial level and staff turnover at the organizational level made it difficult to maintain buy-in as participants changed over time. The impacts of these successes and challenges will be evaluated more concretely at the end of Phase 2.</p> <p>Conclusion</p> <p>PD approaches, by their very nature, encourage buy-in to the development process, better addresses user-needs, and creates a sense of user-investment and ownership.</p