Deformation correction and recovery of dynamic magnetic resonance images (DMRI) with low complexity algorithms without compromising image quality is a challenging problem. We proposed motion estimation deformation-correction compressive sensing (DC-CS) scheme to recover from its undersampled measurements. simplify the complex optimization problem into three sub-problems. The contributions this ...

UNLABELLED Error Correction is important for most next-generation sequencing applications because highly accurate sequenced reads will likely lead to higher quality results. Many techniques for error correction of sequencing data from next-gen platforms have been developed in the recent years. However, compared with the fast development of sequencing technologies, there is a lack of standardize...

It is recognized that scatter correction can supply more accurate absolute quantification, and that iterative reconstruction results in better noise properties and significantly reduces streak artefacts; however, it is not entirely clear whether they produce significant changes in [18F]-FDG distribution of reconstructed 3D brain PET images relative to not scatter corrected images and analytic r...

The Finite Element analysis of the elastic-plastic behavior is of fundamental importance in automobile industry. To predict accurately the final geometry of the structure and the distribution of strain and stress, accurate integration of the constitutive laws over the strain path is essential. Our objective in this paper is to develop an effective and accurate stress integration scheme for the ...

This paper investigates how the French second person pronouns, tu and vous, are acquired by Korean learners of French. This is specifically approached from an interlanguage pragmatics research viewpoint, focusing upon the status of the learners’ pragmalinguistic and sociopragmatic knowledge (whether they are explicit or implicit). It is hypothesized that Korean learners of French will face diff...

We focus on a class of models used for representing the dynamics between a discrete set of probabilistic events in a continuous-time setting. The proposed framework offers tractable learning and inference procedures and provides compact state representations for processes which exhibit variable delays between events. The approach is applied to a heart sound labeling task that exhibits long-rang...

Artifact flow represents an important aspect of teaching/learning processes, especially in CSCL situations in which complex relationships may be found. However, explicit modeling of CSCL processes with artifact flow may increase the cognitive load and associated effort of the teachers-designers and therefore decrease the efficiency of the design process. The empirical study, reported in this pa...

Various studies have confirmed the influential role of corrective feedback (CF) in the development of different linguistic skills and components. However, little, if any, research has been conducted on comparing types of linguistic errors treated by teachers through CF. To bridge this gap, this study sought to investigate the linguistic errors addressed and the types of CF provided by teachers....