Propositional plans of all forms often display a certain level of concurrency which can be exploited by scheduling the plan. This reveals the earliest times at which each action can be applied whilst still achieving the goal and shortening the plan duration. However, the output of this scheduling process is simply a set of timestamped actions, losing implicit information present in the original...

literature review indicates that systemic agricultural human resource development (hrd) interventions are rarely carried out in developing countries, and limited knowledge exists about how successful they have been. a comparative study was carried out to investigate the effectiveness of three multi-project hrd interventions including extension plans, adaptation plans and diffusion-push plans in...

the main goal of land development plans initially is providing appropriate house for people and planning for pre- devised development of cities. the government plans for urban lands generally and subsequently grants them after implement their preparing process, recently the mehr house projects are planned to result in omitting land's value from total costs of residential buildings and enti...

Optimization of nested queries, in particular finding equivalent “flattened” queries for queries that employ the SQL sub-query construct, has been researched extensively. In contrast, with the exception of nested loops join, execution of nested plans has found little interest. Nested execution plans may result from a failure to flatten nested SQL expressions but just as likely are created by a ...

The backlash against managed care has pressured health plans to reexamine their approaches to controlling utilization and managing their members' health care needs, but how much has really changed? Interviews with health plans and others in twelve nationally representative markets suggest that the changes are significant. New and refined disease management programs are improving the care experi...

SystemML enables declarative, large-scale machine learning (ML) via a high-level language with R-like syntax. Data scientists use this language to express their ML algorithms with full flexibility but without the need to hand-tune distributed runtime execution plans and system configurations. These ML programs are dynamically compiled and optimized based on data and cluster characteristics usin...