In the context of liberalized markets, market outcomes generally result from the strategic interactions of all market players. Generation company (Genco), as the distributed players, build their subjective demand evaluations (SDFs) about market for optimal bidding purpose. Due to the differences in terms of data availability and modeling techniques, subjective demand models held by various Genc...

Developing a performance-based advancement system requires evaluation tools that capture essential behaviors and outcomes reflective of key nursing functions. To ensure relevance to clinical practice and enhance buy-in from nursing staff, the behaviors and outcomes were defined by a broad cross-section of nursing staff and administrators. The first article (September 2003) in this 3-part series...

INTRODUCTION Although evaluating at multiple outcome levels has been proposed for continuing education activities and programs, it is a complex undertaking and is not done routinely, especially in collaborative, multicomponent programs. This article reports on strategies used and results obtained in an evaluation project that examined multiple outcomes of a US-based collaborative, multicomponen...

Background The Community Mine Continuation Agreement Middle (CMCA) and South Fly Health Program (the Health Program) is a partnership for improving health service delivery in remote Papua New Guinea (PNG). The Health Program is delivered by a private contractor working in partnership with existing health service providers to improve service delivery using existing government systems, where poss...

Most of the work on partial evaluation, to date, relies on using knowledge about data values to guide specialization of program code. In this abstract we discuss the use of partial evaluation for the dual optimization, of using knowledge about a program to guide the specialization of data representations. Preliminary experiments suggest that this can yield signiicant performance improvements fo...

We present Mantis, a framework for predicting the performance of Android applications on given inputs automatically, accurately, and efficiently. A key insight underlying Mantis is that program execution runs often contain features that correlate with performance and are automatically computable efficiently. Mantis synergistically combines techniques from program analysis and machine learning. ...

Introduction. Evaluation is a systematic way to improve and make more effective actions that involves procedures which are useful, feasible, ethical, and accurate. Common questions in all evaluations are: do all part of program do well and effective? What is the good functioning? Why the program or its parts do not work well? What are the effects and consequences of the program? Is this progra...

Advances in high performance computing, communications, and user interfaces enable developers to construct increasingly interactive high performance applications. The Falcon system presented in this paper supports such interactivity by providing runtime libraries, tools, and user interfaces that permit the on-line monitoring and steering of large-scale parallel codes. The principal aspects of F...

Object-oriented programming facilitates the development of generic software, but at a cost in terms of performance of the final program. We use partial evaluation to automatically map generic objectoriented software into specific implementations. In this paper we give a concise and formalized description of how partial evaluation specializes an object-oriented program.

Cloud computing is an emerging infrastructure paradigm that promises to eliminate the need for companies to maintain expensive computing hardware. However, performance evaluation for Cloud computing platforms still remains an open issue. In this paper, we present an integrated performance evaluation middleware, which is aiming to provide users an easy-to-use toolkit to evaluate their Cloud syst...