The Commercial Music Industry in Atlanta and the State of Georgia: An Economic Impact Study

This study was prepared to ascertain the magnitude of the commercial music industry's economic impact on Atlanta and its surrounding areas. Report #8

The state of green technologies in South Africa

No description supplie

Urban Welfare-to-Work Transitions in the 1990s: Patterns in Six Urban Areas

This report focuses on patterns of welfare use and employment for welfare leavers for central counties in each of six metropolitan areas

Schedulability, Response Time Analysis and New Models of P-FRP Systems

Functional Reactive Programming (FRP) is a declarative approach for modeling and building reactive systems. FRP has been shown to be an expressive formalism for building applications of computer graphics, computer vision, robotics, etc. Priority-based FRP (P-FRP) is a formalism that allows preemption of executing programs and guarantees real-time response. Since functional programs cannot maintain state and mutable data, changes made by programs that are preempted have to be rolled back. Hence in P-FRP, a higher priority task can preempt the execution of a lower priority task, but the preempted lower priority task will have to restart after the higher priority task has completed execution. This execution paradigm is called Abort-and-Restart (AR). Current real-time research is focused on preemptive of non-preemptive models of execution and several state-of-the-art methods have been developed to analyze the real-time guarantees of these models. Unfortunately, due to its transactional nature where preempted tasks are aborted and have to restart, the execution semantics of P-FRP does not fit into the standard definitions of preemptive or non-preemptive execution, and the research on the standard preemptive and non-preemptive may not applicable for the P-FRP AR model. Out of many research areas that P-FRP may demands, we focus on task scheduling which includes task and system modeling, priority assignment, schedulability analysis, response time analysis, improved P-FRP AR models, algorithms and corresponding software. In this work, we review existing results on P-FRP task scheduling and then present our research contributions: (1) a tighter feasibility test interval regarding the task release offsets as well as a linked list based algorithm and implementation for scheduling simulation; (2) P-FRP with software transactional memory-lazy conflict detection (STM-LCD); (3) a non-work-conserving scheduling model called Deferred Start; (4) a multi-mode P-FRP task model; (5) SimSo-PFRP, the P-FRP extension of SimSo - a SimPy-based, highly extensible and user friendly task generator and task scheduling simulator.Computer Science, Department o

Learning and Work: Professional Learning Analytics

Learning for work takes various forms, from formal training to informal learning through work activities. In many work settings, professionals collaborate via networked environments leaving various forms of digital traces and “clickstream” data. These data can be exploited through learning analytics (LA) to make both formal and informal learning processes traceable and visible to support professionals with their learning. This chapter examines the state-of-the-art in professional learning analytics (PLA) by considering how professionals learn, putting forward a vision for PLA, and analyzing examples of analytics in action in professional settings. LA can address affective and motivational learning issues as well as technical and practical expertise; it can intelligently align individual learning activities with organizational learning goals. PLA is set to form a foundation for future learning and work

Addressing Health Equity in Cost-Effectiveness Analysis: A Review of Distributional and Extended Cost-Effectiveness Analysis

Background Equity is rarely included in health economic evaluations, partly because the techniques for addressing equity have been inadequate. Since 2013 health economists have developed two competing health economic technologies: distributional costeffectiveness analysis (DCEA) and extended cost-effectiveness analysis (ECEA). Both technologies represent a significant advance, and each provides a framework to address equity considerations in cost-effectiveness analysis. Methods A scoping literature review was used to identify and synthesise the relevant literature on incorporating equity concerns into economic evaluations. A second focused review identified literature which discussed or applied DCEA and ECEA. Key themes in the literature were identified using NVivo qualitative data analysis software. Results The review revealed three key areas of difference between DCEA and ECEA: First, the analysis of trade-offs between improving health and reducing inequity; second, the analysis of financial impacts of health policies; and third, the incorporation of opportunity costs. ECEA can analyse financial risk protection while DCEA can analyse opportunity costs and trade-offs between improving equity and reducing health. ECEA is designed for low- and middle-income countries, whereas DCEA is better suited to developed health systems such as the National Health Service in the United Kingdom. To date, there have been 27 studies using ECEA and five studies using DCEA. Future developments for DCEA and ECEA include incorporating alternative methods to simplify the data requirements for the techniques, providing methods to assist decision makers to clarify their equity concerns, and improving the presentation of outcomes to make them accessible to non-specialists. Conclusions DCEA and ECEA are both economic frameworks which address equity considerations in cost-effectiveness analysis. This study examines and compares these two techniques in order to assist policymakers and decision makers to determine which of the two methods is best able to address their specific needs for their particular circumstances

Industrial plastics waste: Identification and segregation

Throwaway plastic products, mainly packaging, are inundating our landfills and incinerators. Most are ethenic thermoplastics, which can be recycled as new products or fossil-fuels. Lab experiments are described, involving destructive and non-destructive tests for identifying and using plastics. The burn-test, with simple apparatus and familiar samples, is recommended as quick, cheap and effective

Priorities in the Location of Multiple Public Facilities

A collective decision problem is described by a set of agents, a profile of single-peaked preferences over the real line and a number k of public facilities to be located. We consider public facilities that do not suffer from congestion and are non-excludable. We provide a characterization of the class of rules satisfying Pareto-efficiency, object-population monotonicity and sovereignty. Each rule in the class is a priority rule that selects locations according to a predetermined priority ordering among "interest groups". We characterize each of the subclasses of priority rules that respectively satisfy anonymity, hiding-proofness and strategy-proofness. In particular, we prove that a priority rule is strategy-proof if and only if it partitions the set of agents into a fixed hierarchy. Alternatively, any such rule can be viewed as a collection of fixed-populations generalized peak-selection median rules (Moulin, 1980), that are linked across populations, in a way that we describe.Multiple public facilities; Priority rules; Hierarchical rules; Object-population monotonicity; Sovereignty; Anonymity; Strategy-proofness; Generalized median rules; Hiding-proofness