Efficacy of novel immunotherapy regimens in patients with metastatic melanoma with germline CDKN2A mutations

Inherited CDKN2A mutation is a strong risk factor for cutaneous melanoma. Moreover, carriers have been found to have poor melanoma-specific survival. In this study, responses to novel immunotherapy agents in CDKN2A mutation carriers with metastatic melanoma were evaluated

Characterizing Software Engineering Students’ Discussions during Peer Instruction: Opportunities for Learning and Implications for Teaching

Peer instruction is a method for activating students during lectures, which has gained a considerable amount of attention in higher education due to claims of dramatic improvement in learning gains. The purpose of this qualitative research study is to investigate what types of discussions engineering students engage in during a peer instruction session and what learning possibilities that are enabled by these different types of discussions. We observed twelve students during six separate andsimulated peer instruction sessions and the students were interviewed individually after the sessions. An analysis of the data revealed that the students engaged in three qualitatively different types of discussions: affirmative discussions, motivating discussions, and argumentative discussions. We characterize these different types of discussions in terms of the number of alternative answers the students discuss, the extent to which they draw on prior knowledge and experiences, as well as thefundamental difference between an explanation and an argument. A good opportunity for learning is opened up when students are aspiring to find the truth, not simply being satisfied with what they believe to be true. We conclude that students do not always engage in discussions that support their learning in the best way, and we discuss implications for using peer instruction as a teaching method

Characterizing Software Engineering Students’ Discussions during Peer Instruction: Opportunities for Learning and Implications for Teaching

Peer instruction is a method for activating students during lectures, which has gained a considerable amount of attention in higher education due to claims of dramatic improvement in learning gains. The purpose of this qualitative research study is to investigate what types of discussions engineering students engage in during a peer instruction session and what learning possibilities that are enabled by these different types of discussions. We observed twelve students during six separate andsimulated peer instruction sessions and the students were interviewed individually after the sessions. An analysis of the data revealed that the students engaged in three qualitatively different types of discussions: affirmative discussions, motivating discussions, and argumentative discussions. We characterize these different types of discussions in terms of the number of alternative answers the students discuss, the extent to which they draw on prior knowledge and experiences, as well as thefundamental difference between an explanation and an argument. A good opportunity for learning is opened up when students are aspiring to find the truth, not simply being satisfied with what they believe to be true. We conclude that students do not always engage in discussions that support their learning in the best way, and we discuss implications for using peer instruction as a teaching method

RedCAN ™ : Simulations of two Fault Recovery Algorithms for CAN

This paper presents the RedCAN concept to achieve fault tolerance against node and link failures in a CAN-bus system by means of configurable switches. The basic idea in RedCAN is. to isolate faulty nodes or bus segments by configuring switches. that will evade a faulty. node or segment and exclude it from bus access. We propose changes to the original centralized protocol, vulnerable to single point failures, and show that. with a new distributed algorithm considerable more efficiency can be achieved also when network size is growing. The distributed algorithm introduces redundancy and hereby increases robustness of the system. Furthermore the new algorithm has logarithmic complexity, as opposed to the centralized algorithms linear complexity, as the number of nodes increase. The results were gathered through a new simulator, the "RedCAN Simulation Manager", also presented in the paper. Simulations allow assessing the break-even point between centralized and distributed algorithms reconfiguration latencies as well as give ideas for further research