Joint routing, scheduling and power control for large interference wireless networks

We consider the problem of joint routing, scheduling and power control in multi-hop wireless networks. We use a linear relation between link capacity and signal to interference noise ratio in our formulation. In a previous work, using a duality approach, the optimal link scheduling and power control that minimizes the total average transmission power is found. We formulate this problem as a linear programming problem with exponential number of constraints. To cope with the exponential number of constraints, we propose an iterative algorithm based on the cutting plane method. The separation oracle for the cutting plane algorithm turns out to be an element-wise concave optimization problem that can be effectively solved using branch and bound algorithm. We extend the same method to find the optimal routing scheduling and power control. Simulation results show that this methodology is more efficient and scalable compare to the previously proposed algorithm

Joint routing, scheduling and power control for large interference wireless networks

We consider the problem of joint routing, scheduling and power control in multi-hop wireless networks. We use a linear relation between link capacity and signal to interference noise ratio in our formulation. In a previous work, using a duality approach, the optimal link scheduling and power control that minimizes the total average transmission power is found. We formulate this problem as a linear programming problem with exponential number of constraints. To cope with the exponential number of constraints, we propose an iterative algorithm based on the cutting plane method. The separation oracle for the cutting plane algorithm turns out to be an element-wise concave optimization problem that can be effectively solved using branch and bound algorithm. We extend the same method to find the optimal routing scheduling and power control. Simulation results show that this methodology is more efficient and scalable compare to the previously proposed algorithm

The role of interpersonal interactions in emotional regulation in medical student learning

Conference Theme: Responsible Teaching and Sustainable LearningLearning to monitor and regulate one’s emotions in an academic setting is a task that all students must engage in. Successful emotional regulation can lead to better learning outcomes. This paper explores emotional regulation in medical education in the context of learning how to give bad news to patients. In particular, we examine the role that patient’s emotions play in influencing medical student’s emotional regulation and consequent learning about how best to communicate bad news. In this regard, we examine the social aspect of metacognition (Salonen, Vauras & Efklides, 2005) and examine how private cognitions are influenced by social experiences (Hacker & Bol, 2004). This paper defines and assesses emotional regulation in terms of what strategies medical students need to use to monitor and control emotions. It also provides a prototype for how technology can be used to foster monitoring skills in medical students so that they can better communicate with their patients and increase patient motivation and overall satisfaction during the disclosure of bad news. Enhancing emotional regulation can lead to more effective forms of physician-patient communication, which ultimately leads to better patient care

Technology-rich learning environments to support emotional regulation: a case study of the relationship between physician regulation and patient coping

Division C - Section 3b Poster Session: E-Learning and Student Activities and OutcomesConference Theme: Education and Poverty: Theory, Research, Policy and PraxisLearning to monitor and regulate one’s emotions in an academic setting is a task that all students must engage in. A unique characteristic of medical education programs is that medical students must learn to regulate their own emotions simultaneously with the task of also understanding and managing their patients’ emotions when learning to communicate bad news. A TRE was designed to connect Canadian and Chinese medical students with tutors in Hong Kong and Canada to explore the relationship between patient coping styles and emotion regulation while delivering bad news. This study shows this TRE to be a feasible prototype for fostering positive patient-physician communication during the disclosure of bad news.link_to_OA_fulltex

Creating instructor dashboards to foster collaborative learning in on-line medical problem-based learning situations

LNCS v. 9753 entitled: Learning and Collaboration Technologies: Third International Conference, LCT 2016, Held as Part of HCI International 2016, Toronto, ON, Canada, July 17-22, 2016, ProceedingsProblem-based learning (PBL) refers to a student-centered pedagogy in which students collaborate with each other to solve complex problems. There are many benefits to this approach, such as improving student problem-solving skills, developing group-work skills and motivation. However, it is built upon low student-teacher ratios, which places increased demands on instructors, making traditional forms of PBL costly to implement in large-enrolment courses). This suggests that it is important to find ways to extend expert facilitation to multiple groups. Based on this approach, we have implemented an online, asynchronous learning environment entitled HOWARD (Helping Others With Argumentation and Reasoning Dashboard) which aims to foster multiple small PBLs and boost their instructional capacity. Beyond supporting instructors to handle multiple groups at the same time, our computer-supported PBL environment can allow learners to connect across cultures and disciplines, enabling them to interact beyond boundaries of location, time and space. © Springer International Publishing Switzerland 2016.Link_to_subscribed_fulltex