this study examined the effects of task complexity on written narrative production under different task complexity conditions by efl learners at different proficiency levels. task complexity was manipulated along robinson’s (2001b) proposed task complexity dimension of here-and-now (simple) vs. there-and-then (complex) in. accordingly, three specific measures of the written narratives were targ...

iii   this study was an attempt to determine the effect of task-based approach vs. traditional approach on the narrative and expository writing of the iranian efl learners. there were two control groups as well as two experimental ones in the current study. in the two control groups namely g1 and g2 narrative and expository writing were taught respectively using the traditiona...

background nowadays task sharing is a way to optimize utilization of human resources for health. this study was designed to assess the effect of task sharing, mutually between midwives and family health workforces (fhws), on the number of needed staff across the iranian health posts.   methods the workload and required number of midwives and fhws in a health post were calculated and compared in...

A course generator automatically assembles learning objects retrieved from one or several repositories to a greater unit. Different frameworks for course generation exists, but only a few allow the representation of sophisticated pedagogical knowledge. In this paper, we describe course generation based on pedagogical tasks and methods, formalized in a hierarchical task network (HTN) planner. We...

Workflow management systems (WFMS) support the modeling and coordinated execution of processes within an organization. To coordinate the execution of the various activities (or tasks) in a workflow, task dependencies are specified among them. In a multilevel secure (MLS) workflow, tasks may belong to different security levels. Ensuring the task dependencies from the tasks at higher security lev...

This short memo aims at explaining our approach for the challenge IEEE-ISBI on Bone Texture Characterization. In this work, we focus on the use of covariance matrices and wavelet marginals in an SVM classifier.