We present an innovative application of discourse processing concepts to educational technology. In our corpus analysis of peer learning dialogues, we found that initiative and initiative shifts are indicative of learning, and of learning-conducive episodes. We are incorporating this finding in KSC-PaL, the peer learning agent we have been developing. KSC-PaL will promote learning by encouragin...

in order to evaluate forage quality in intercropping, two field experiments were carried out based on randomized complete block design with three replications at the agricultural research station, faculty of agriculture, university of tabriz, iran, in 2005-2006 and 2006-2007 growing seasons. two maize (zea mays l.) hybrids (sc704, sc301), vetch (vicia villosa), bitter vetch (vicia ervilia), ber...

The epidermis basal layer is composed of two keratinocyte populations: Keratinocyte Stem cells (KSC) and Transitory Amplifying (TA) cells that arise from KSC division. Unfortunately, no specific marker exists to differ between KSC and TA cells. Here, we aimed at comparing two different methods that pretended to isolate these two populations: (i) the rapid adhesion method on coated substrate and...

Indoor air pollution with harmful particulate matter (PM) is mainly caused by cigarette smoke. Super-Slim-Size-Cigarettes (SSL) are considered a less harmful alternative to King-Size-Cigarettes (KSC) due to longer filters and relatively low contents. We ask if "Combined Mainstream and Sidestream Smoke" (CMSS)-associated PM levels of SSL are lower than of KSC and thus are potentially less harmfu...

We propose an agglomerative hierarchical kernel spectral clustering (AH-KSC) model for large scale complex networks. The kernel spectral clustering (KSC) method uses a primal-dual framework to build a model on a subgraph of the network. We exploit the structure of the projections in the eigenspace to automatically identify a set of distance thresholds. These thresholds lead to the different lev...

This paper shows the feasibility of utilizing the Kernel Spectral Clustering (KSC) method for the purpose of community detection in big data networks. KSC employs a primal-dual framework to construct a model. It results in a powerful property of effectively inferring the community affiliation for out-of-sample extensions. The original large kernel matrix cannot fitinto memory. Therefore, we sel...

in this study, the effects of moisture content and corn variety on the physicochemical properties of popcorn were investigated and modeled using response surface methodology. each of the two corn varieties (hybrid corn ksc 600 pc and american) was prepared with a range of moisture (six moisture levels ranging from 10 to 20%) and popped by a hot air popper. variety and moisture content affected ...