Perceptions and attitudes towards research amongst medical students at Shifa College of Medicine.

OBJECTIVE: To understand medical students' perceptions and attitudes towards research to help facilitators design specific courses according to their needs. METHODS: The cross-sectional study was conducted at Shifa College of Medicine, Islamabad, Pakistan, from May to November 2013, and comprised undergraduate medical students. A pre-tested questionnaire was used for data collection. Students' response was recorded on a Likert scale from 'strongly disagree' 1 to 'strongly agree' 5. Analysis was done using statistical SPSS17. RESULTS: Of the 195 students enrolled, 172(88%) responded. Overall, 78(45.3%) students said they were aware of research. Research was considered useful for their professional careers and relevant to their daily life by 133(65.7%) students, while 72(41.9%) did not consider it worthwhile to pursue research as a career. Besides, 71(41.3%) students enjoyed research, while 120(70%) perceived research as stressful and 107(62.2) complex. CONCLUSIONS: Most students considered research valuable but at the same time they perceived it as stressful and complex.

Trajectory Space: A Dual Representation for Nonrigid Structure from Motion.

Existing approaches to nonrigid structure from motion assume that the instantaneous 3D shape of a deforming object is a linear combination of basis shapes. These bases are object dependent and therefore have to be estimated anew for each video sequence. In contrast, we propose a dual approach to describe the evolving 3D structure in trajectory space by a linear combination of basis trajectories. We describe the dual relationship between the two approaches, showing that they both have equal power for representing 3D structure. We further show that the temporal smoothness in 3D trajectories alone can be used for recovering nonrigid structure from a moving camera. The principal advantage of expressing deforming 3D structure in trajectory space is that we can define an object independent basis. This results in a significant reduction in unknowns and corresponding stability in estimation. We propose the use of the Discrete Cosine Transform (DCT) as the object independent basis and empirically demonstrate that it approaches Principal Component Analysis (PCA) for natural motions. We report the performance of the proposed method, quantitatively using motion capture data, and qualitatively on several video sequences exhibiting nonrigid motions, including piecewise rigid motion, partially nonrigid motion (such as a facial expressions), and highly nonrigid motion (such as a person walking or dancing).