Honesty and integrity are key characteristics expected of a doctor, although academic misconduct amongst medical students is not new. Academic integrity provides the foundation upon, which a flourishing academic life rests. The aim of this study was to investigate the attitude of undergraduate dental students about the seriousness of cheating behaviours and to determine the rate of malpractice amongst these students. A self designed closed ended questionnaire was distributed to 300 undergraduate students in a Dental Institution in India, to rate the seriousness of six cheating behaviours and to assess the rate of malpractice. The response rate was 100%. Two of the six cheating behaviours were considered by at least 61% of the students as very serious cheating behaviours. Almost 70% of the students agreed that they have involved in malpractice in examinations at least once. The majority also felt that cheating in examinations will not have any significant effect on their future. This study has revealed that cheating is an important issue, which needs to be addressed for the benefit of the society at large.

In most rural nations, Ranchers face an incredible misfortune consistently because of infections in crops. In this way, early recognition of tomato plant infections has accomplished an extraordinary worry of the scientists. In this paper a profound convolutional brain network model is utilized to perceive unfortunate plants from the solid plants and to characterize the tomato plant illnesses. We have utilized VGG16 profound CNN classifier to perceive unfortunate plants and their illnesses from.