This study examined how training, dosage, and implementation quality of a social and emotional learning program, The RULER Approach, were related to students’ social and emotional competencies. There were no main effects for any of the variables on student outcomes, but students had more positive outcomes when their teachers (a) attended more trainings and taught more lessons, and (b) were clas...

There are a number of stimuli behind energy efficiency, not least the Kyoto Protocol. The domestic sector has been highlighted as a key potential area. Improving energy efficiency in this sector also assists alleviating fuel poverty, for research is now demonstrating the strong relationship between poor domestic thermal efficiency, high fuel poverty and poor health and comfort status. Previous ...

BACKGROUND Classification and regression tree analysis involves the creation of a decision tree by recursive partitioning of a dataset into more homogeneous subgroups. Thus far, there is scarce literature on using this technique to create clinical prediction tools for aneurysmal subarachnoid hemorrhage (SAH). METHODS The classification and regression tree analysis technique was applied to the...

 Given that improvement in efficiency is a major resource to economic development, this can be applied to each domestic sector of an economy. The objective of this paper is to measure technical efficiency of the Iranian Post Company across the country’s provinces using data envelopment analysis (DEA). The ranking of technical efficiency has been calculated by using collected data on post offi...

This study explains the comparison of three change detection techniques employed for Chitwan district in Nepal by using remotely sensed images. Three change detection techniques were looked at, viz , Post classification comparison, image differencing and multitemporal composite and classification from the available images of Landsat TM for three different dates (1988, 1992 &2000). These techniq...

Recent work has demonstrated that pretrained transformers are overconfident in text classification tasks, which can be calibrated by the famous post-hoc calibration method temperature scaling (TS). Character or word spelling mistakes frequently encountered real applications and greatly threaten transformer model safety. Research on under noisy settings is rare, we focus this direction. Based a ...

Determining the stance expressed by an author from a post written for a twosided debate in an online debate forum is a relatively new problem. We seek to improve Anand et al.’s (2011) approach to debate stance classification by modeling two types of soft extra-linguistic constraints on the stance labels of debate posts, user-interaction constraints and ideology constraints. Experimental results...