BackgroundEmotional Intelligence is the ability of a person to understand and respond to one’s own and others’ emotions and use this understanding to guide one’s thoughts and actions. To assess the level of emotional intelligence of medical students in a medical college in Chennai and to explore their understanding of the role of emotions in medical practice.MethodsA quantitative, cross sectional, questionnaire based, survey was conducted among 207 medical students in a college in Chennai, India using the Quick Emotional Intelligence Self Assessment Test and some hypothetical emotional clinical vignettes. This was followed by a qualitative moderated fish-bowl discussion to elicit the opinion of medical students on role of emotions in the practice of medicine.ResultsThe mean score of Emotional Intelligence was 107.58 (SD 16.44) out of a maximum possible score of 160. Students who went to government schools for high school education had greater emotional intelligence than students from private schools (p = 0.044) and women were more emotionally intelligent in their response to emotional vignettes than men (p = 0.056). The fish bowl discussion highlighted several positive and negative impacts of emotions in clinical care. The students concluded at the end of the discussion that emotions are inevitable in the practice of medicine and a good physician should know how to handle them.ConclusionsMedical students, both men and women, had good level of emotional intelligence in the college that was studied. Students from collectivist social settings like government high schools have better emotional intelligence, which may indicate that a collectivist, community oriented medical education can serve the same purpose. Though students have diverse opinions on the role of emotions in clinical care, cognitive reflection exercises can help them understand its importance.Electronic supplementary materialThe online version of this article (10.1186/s12909-018-1213-3) contains supplementary material, which is available to authorized users.

No abstract

Multi-hop based Wireless sensor network (WSN) has gained significant importance catering to large scale application demands and integrated with Internet of Things (IoT) in recent times. Conventional WSN faces hotspot problem, since nodes in the one-hop neighbourhood of static sink faces battery depletion rapidly for relaying other nodes' traffic. Mobile sink based approaches suffer from excessive control overhead in terms of topology updates, route computation and maintenance by sensor nodes. This work proposes a novel quasi-mobile sink query driven model to optimize cost factors such as deployment, energy and routing for large scale soft real-time applications. A corona based beacon-less flexible tree routing is adopted. In this model, sink moves in a predefined pattern covering the deployment zone but remains stationary for a configurable sojourn time during the query dissemination and data gathering phase. It is inferred from simulation results that significant energy savings is achieved over the hotspot region near the sink, with increase in traffic rate compared to static sink solution. High data delivery ratio and energy efficiency is achieved with increase in network size in comparison with existing sink mobility models. Empirical range test measurements of average Received Signal Strength Indicator (RSSI), Packet Success Rate (PSR) are also performed to determine the optimal transmission power level and ensure proper deployment for effective coverage and network connectivity.

Cloud storage relieves the user from the local management of software and hardware by enabling high quality on demand storage services to store their data in remote locations. Storing the data in remote locations not only reduces the management overheads but also eliminates the user's physical control over data storage and data security. The loss of physical control over data brings out various security issues such as data loss, tampering of data, data modification. The primary issue is to ensure the correctness of data stored in remote locations which can be resolved by enabling public auditing for cloud storage services. In public auditing, not only the user but anyone can verify the data correctness. The introduction of third-party auditor, who works on behalf of cloud user to verify data integrity helps to reduce user computation resources and cost. The key prerequisite for the public auditing protocol is to support dynamic data operations as data in cloud are dynamic in nature. Cloud is a multiuser environment, so the auditing protocol must scale well to handle multiple auditing processes simultaneously. This paper aims at an extensive survey which mainly outlines the requirements for cloud public auditability and compares varied public auditing protocols.