The experience of being diagnosed with and treated for cancer is an extremely stressful experience for most individuals. In addition to commonly recognized negative effects such as posttraumatic stress symptoms (PTSS), there may be positive personal developmental change, including posttraumatic growth (PTG). The purpose of the study was to explore the post traumatic growth among cancer patients. The study involved 100 cancer patients. The data was collected by using standardized tool-post traumatic growth inventory (PTGI) which consists of five subscales. Participants reported high spiritual strength. Only few of the patients were able to develop new possibilities which suggest that they may be beginning to make choices in a more conscious manner. The associations of post traumatic growth of cancer patients with selected demographic variables suggest that relating to others was statistically associated with gender (4.58) and marital status (4.70), spiritual strength was found to be associated with residence (4.43), religious activities (9.29) and importance of religious activities (32.74). Appreciation of life was found dependent on occupation (5.88) and annual household income (10.92) at 0.05 level of significance and the association of post traumatic growth with selected clinical variables suggest that new possibilities was statistically significant with duration of diagnosis (7.82), spiritual strength with duration of diagnosis (.95) and appreciation of life with duration of diagnosis (9.06) at 0.05 level of significance. Therefore it was concluded that majority of cancer patients after diagnosis with cancer were able to reevaluate their spiritual strength.

The experience of being diagnosed with and treated for cancer is extremely stressful for most individuals involving a series of threats during diagnosis and treatment. The purpose of the study was to explore the anxiety among cancer patients. The study involved 100 cancer patients. Data was collected by using standardised tool i.e. state-trait anxiety inventory (STAI). Participants reported moderate low state-trait anxiety (36% and 34% of cancer patients were in moderate low anxiety level in state-trait anxiety inventory respectively). The mean score for state-trait anxiety inventory was 92.74 with S.D ± 29.94 and mean percent as 57.96. The state anxiety was found associated with demographic variables that were: religious activities (34.15) and importance of religious activities (21.33) and clinical variables were found to be associated with duration of diagnosis (26.23) and stage of disease (27.02) at 0.05 level of significance. The trait anxiety was found associated with demographic variables (14.13), marital status (10.90); clinical variables were found to be associated with diagnosis (42.89), duration of diagnosis (27.64) and stage of disease (32.61) at 0.05 level of significance. So, it can be concluded that as duration and stage of disease increases stress level decreases and it was also affected by gender, marital status, diagnosis, duration and stage of disease.

The recent growth in the use of mobile devices has contributed to increased computing and storage requirements. Cloud computing has been used over the past decade to cater to computational and storage needs over the internet. However, the use of various mobile applications like Augmented Reality (AR), M2M Communications, V2X Communications, and the Internet of Things (IoT) led to the emergence of mobile cloud computing (MCC). All data from mobile devices is offloaded and computed on the cloud, removing all limitations incorporated with mobile devices. However, delays induced by the location of data centers led to the birth of edge computing technologies. In this paper, we discuss one of the edge computing technologies, i.e., cloudlet. Cloudlet brings the cloud close to the end-user leading to reduced delay and response time. An algorithm is proposed for scheduling tasks on cloudlet by considering VM's load. Simulation results indicate that the proposed algorithm provides 12% and 29% improvement over EMACS and QRR while balancing the load.

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