This study examined the effects of task complexity and pre-writing condition on Malaysian L2 learners’ perceptions their argumentative writing concerning perceived difficulty, stress, confidence to perform task, interest in motivation complete task. It investigated whether dyadic triadic conditions for peer discussion modulate willingness participate learning opportunities. In a repeated-measur...

In multitasking real-time systems, the choice of scheduling algorithm is an important factor to ensure that response time requirements are met while maximising limited system resources. Two popular scheduling algorithms include fixed priority (FP) and earliest deadline first (EDF). While they have been studied in great detail before, they have not been compared when taking into account cache re...

The two-pore domain potassium channel KCNK3 (TASK-1) is expressed in rat and human pulmonary artery smooth muscle cells. There, it is associated with hypoxia-induced signalling, and its dysfunction is linked to pathogenesis of human pulmonary hypertension. We here aimed to determine its role in hypoxic pulmonary vasoconstriction (HPV) in the mouse, and hence the suitability of this model for fu...

Multi-task learning is the problem of maximizing the performance of a system across a number of related tasks. When applied to multiple domains for the same task, it is similar to domain adaptation, but symmetric, rather than limited to improving performance on a target domain. We present a more principled, better performing model for this problem, based on the use of a hierarchical Bayesian pr...

In this paper, we present the JUCSE system, designed for the TempEval-3 shared task. The system extracts events and temporal information from natural text in English. We have participated in all the tasks of TempEval-3, namely Task A, Task B & Task C. We have primarily utilized the Conditional Random Field (CRF) based machine learning technique, for all the above tasks. Our system seems to perf...

There is an extensive literature on task modelling related to the design of computer systems. Task analysis and task modelling have been widely recognized as central components in human-centred approaches. The aim of this paper is to report on some results of a worldwide survey about actual practices of task descriptions languages (TDL) in SIGCHI community. Results suggest that academic TDL are...

A common approach in domain adaptation (DA) [1] and multitask learning (MTL) [2] is to create an expanded feature representation by sharing features across domains (in DA) or across tasks (in MTL) and then learning a classifier over this expanded feature set. In this paper, we refer to such techniques as feature sharing algorithms (FSA). One such FSA is EASYADAPT [1], which takes each feature i...