South Carolina: Round 1 - State Level Field Network Study of the Implementation of the Affordable Care Act

This report is part of a series of 21 state and regional studies examining the rollout of the ACA. The national network -- with 36 states and 61 researchers -- is led by the Rockefeller Institute of Government, the public policy research arm of the State University of New York, the Brookings Institution, and the Fels Institute of Government at the University of Pennsylvania.South Carolina has its work cut out for it. As a state with one of the highest poverty rates and poorest health outcomes indicators, one thing stakeholders from all perspectives agree on is the need for improvement in the state's health status. Successful implementation of the ACA in South Carolina -- for those who believe that is the goal -- will require building greater public understanding of the ACA and enrolling all who are eligible in a state in which government distrust is high and public insurance program take-up rates have traditionally been low. It will also require a shift in position on the Medicaid expansion option. As long as the state's poorest uninsured remain without assistance, the aims of the ACA to promote widespread access to health care will never be realized

A comparison of forensic toolkits and mass market data recovery applications

Digital forensic application suites are large, expensive, complex software products, offering a range of functions to assist in the investigation of digital artifacts. Several authors have raised concerns as to the reliability of evidence derived from these products. This is of particular concern, given that many forensic suites are closed source and therefore can only be subject to black box evaluation. In addition, many of the individual functions integrated into forensic suites are available as commercial stand-alone products, typically at a much lower cost, or even free. This paper reports research which compared (rather than individually evaluated) the data recovery function of two forensic suites and three stand alone `non-forensic' commercial applications. The research demonstrates that, for this function at least, the commercial data recovery tools provide comparable performance to that of the forensic software suites. In addition, the research demonstrates that there is some variation in results presented by all of the data recovery tools

Competition and Innovation: An Experimental Investigation

The paper analyzes the effects of competitive intensity on firms' incentives to invest in process innovations through an experiment based on two-stage games, where R&D investment choices are followed by product market competition. An increase in the intensity of competition is modeled as an increase in the number of Þrms or as a switch from Cournot to Bertrand. The theoretical prediction is that more intense competition is unfavorable to investments for both cases. In the experiment it turns out that the way of modeling the intensity of competition is essential. The theoretical prediction is confirmed for the number effects. On the other hand, the comparison of Cournot and Bertrand shows that more intense competition is beneÞcial for investments.R&D investment, intensity of competition, experiment

Inequality and sustainable consumption: Bridging the gaps

This article examines the potential for cross-fertilisation between the sustainable consumption (SC) scholarship and the environmental justice (EJ) scholarship. The article first maps the two areas of scholarship, discussing the cognitive, social marketing and social provisioning systems literatures of SC and the empirical and conceptual literature on EJ. The article then discusses the potential for cross-fertilisation between the two areas of scholarship. It indicates how SC scholarship can benefit from the social justice sensitivity of the EJ scholarship and how the latter area of scholarship can gain a whole new area of empirical research focusing on social justice aspects of consumption. The article seeks to demonstrate the social and policy significance of the cross-fertilisation by comparing the consumption and EJ implications of carbon taxation and personal carbon allowance trading as tools of carbon management. The article suggests that to be fair both strategies of carbon management require complementary (albeit different) measures that address background inequalities and capabilities to act in the setting created by the instruments

Currency Substitution: A Case of Kazakhstan (2000:1-2007:12)

This paper aims to investigate the demand for money in Kazakhstan. This study covers the period starting from 2000:01, when capital liberalization program was launched and National Bank approved managed float regime (National Bank employed adjustable exchange rate regime before exchange rate crisis in Kazakhstan in 1999) to 2007:12 as recent available data for investigation variables. In order to achieve the goal we set demand for money function is estimated using cointegration methodology aimed for variables integrated of order one. The results show important key factors for controlling money demand could be applied by National Bank of Kazakhstan. Besides, there was reversal of currency in Kazakhstan over the period under the investigation.http://deepblue.lib.umich.edu/bitstream/2027.42/64401/1/wp946.pd

New Synthetic Cannabinoids Metabolism and Strategies to Best Identify Optimal Marker Metabolites.

Synthetic cannabinoids (SCs) were initially developed as pharmacological tools to probe the endocannabinoid system and as novel pharmacotherapies, but are now highly abused. This is a serious public health and social problem throughout the world and it is highly challenging to identify which SC was consumed by the drug abusers, a necessary step to tie adverse health effects to the new drug\u27s toxicity. Two intrinsic properties complicate SC identification, their often rapid and extensive metabolism, and their generally high potency relative to the natural psychoactive Δ 9 -tetrahydrocannabinol in cannabis. Additional challenges are the lack of reference standards for the major urinary metabolites needed for forensic verification, and the sometimes differing illicit and licit status and, in some cases, identical metabolites produced by closely related SC pairs, i.e., JWH-018/AM-2201, THJ-018/THJ-2201, and BB-22/MDMB-CHMICA/ADB-CHMICA. We review current SC prevalence, establish the necessity for SC metabolism investigation and contrast the advantages and disadvantages of multiple metabolic approaches. The human hepatocyte incubation model for determining a new SC\u27s metabolism is highly recommended after comparison to human liver microsomes incubation, in silico prediction, rat in vivo, zebrafish, and fungus Cunninghamella elegans models. We evaluate SC metabolic patterns, and devise a practical strategy to select optimal urinary marker metabolites for SCs. New SCs are incubated first with human hepatocytes and major metabolites are then identified by high-resolution mass spectrometry. Although initially difficult to obtain, authentic human urine samples following the specified SC exposure are hydrolyzed and analyzed by high-resolution mass spectrometry to verify identified major metabolites. Since some SCs produce the same major urinary metabolites, documentation of the specific SC consumed may require identification of the SC parent itself in either blood or oral fluid. An encouraging trend is the recent reduction in the number of new SC introduced per year. With global collaboration and communication, we can improve education of the public about the toxicity of new SC and our response to their introduction

Quality modeling in electronic healthcare: a study of mHealth Service

Information and communication technologies (ICTs) have the potential to radically transform health services in developing countries. Among various ICT driven health platforms, mobile health is the most promising one because of its widespread penetration and cost effective services. This paper aims to examine Quality Modeling in Electronic Healthcare by using PLS based SEM

Rethinking bank business models: the role of intangibles

<p>Purpose: This paper provides a new way of rethinking banking models by using qualitative research on intangibles. This is required because the banking sector has been transformed significantly by the changing environment over the past two decades. The 2007-2009 financial crisis also added to concerns about existing bank business models.</p> <p>Design/Methodology approach: Using qualitative data collected from interviews with bank managers and analysts in the UK, this paper develops a grounded theory of bank intangibles.</p> <p>Findings: The model reveals how intangibles and tangible/financial resources interact in the bank value creation process, how they actively respond to environmental changes, how bank intangibles are understood by external observers such as analysts, and how bankers and analysts differ in their views.</p> <p>Research implications: Grounded theory provides the means to further develop bank models as business models and theoretical models. This provides the means to think beyond conventional finance constructs and to relate bank models to a wider theoretical literature concerning intellectual capital, organisational and social systems theory, and ‘performativity’.</p> <p>Practical implications: Such development of bank models and of a systems perspective is critical to the understanding of banks by bankers, by observers and for their ‘critical and reflexive performativity’. It also has implications for systemic risk and bank regulation.</p> <p>Social implications: Improvement in bank models and their use in open and transparent processes are key means to improve public accountability of banks.</p> <p>Originality: The paper reveals the core role of intellectual capital (IC) in banks, in markets, and in developing theory and research at firm and system levels. </p&gt

Modelling an End to End Supply Chain system Using Simulation

Within the current uncertain environment industries are predominantly faced with various challenges resulting in greater need for skilled management and adequate technique as well as tools to manage Supply Chains (SC) efficiently. Derived from this observation is the need to develop a generic/reusable modelling framework that would allow firms to analyse their operational performance over time (Mackulak and Lawrence 1998, Beamon and Chen 2001, Petrovic 2001, Lau et al. 2008, Khilwani et al. 2011, Cigollini et al. 2014). However for this to be effectively managed the simulation modelling efforts should be directed towards identifying the scope of the SC and the key processes performed between players. Purpose: The research attempts to analyse trends in the field of supply chain modelling using simulation and provide directions for future research by reviewing existing Operations Research/Operations Management (OR/OM) literature. Structural and operational complexities as well as different business processes within various industries are often limiting factors during modelling efforts. Successively, this calls for the end to end (E2E) SC modelling framework where the generic processes, related policies and techniques could be captured and supported by the powerful capabilities of simulation. Research Approach: Following Mitroff’s (1974) scientific inquiry model and Sargent (2011) this research will adopt simulation methodology and focus on systematic literature review in order to establish generic OR processes and differentiate them from those which are specific to certain industries. The aim of the research is provide a clear and informed overview of the existing literature in the area of supply chain simulation. Therefore through a profound examination of the selected studies a conceptual model will be design based on the selection of the most commonly used SC Processes and simulation techniques used within those processes. The description of individual elements that make up SC processes (Hermann and Pundoor 2006) will be defined using building blocks, which are also known as Process Categories. Findings and Originality: This paper presents an E2E SC simulation conceptual model realised through means of systematic literature review. Practitioners have adopted the term E2E SC while this is not extensively featured within academic literature. The existing SC studies lack generality in regards to capturing the entire SC within one methodological framework, which this study aims to address. Research Impact: A systematic review of the supply chain and simulation literature takes an integrated and holistic assessment of an E2E SC, from market-demand scenarios through order management and planning processes, and on to manufacturing and physical distribution. Thus by providing significant advances in understanding of the theory, methods used and applicability of supply chain simulation, this paper will further develop a body of knowledge within this subject area. Practical Impact: The paper will empower practitioners’ knowledge and understanding of the supply chain processes characteristics that can be modelled using simulation. Moreover it will facilitate a selection of specific data required for the simulation in accordance to the individual needs of the industry