32 research outputs found
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Using an Instant Visual and Text Based Feedback_Tool to Teach Path Finding Algorithms A Concept
SEENG 2021 was held remotely as an integral component of the Joint Track on Software Engineering Education and Training (JSEET) at the 43rd IEEE/ACM International Conference on Software Engineering (ICSE).Methods of teaching path finding algorithms, based purely on programming, provide an additional challenge to stu- dents. Indeed many courses use graphs and other visualisations to aid students in grasping concepts quickly. Globally we are rapidly altering our teaching tools to suit the current blended or remote learning style due to the global COVID-19 pandemic. We propose a method that provides instant feedback showing how their programmed path finding algorithm works based upon games. The tool will provide feedback to the student about their code quality. Along with an element of gamification we aim to improve both initial understanding and further exploration into the algorithms taught. This tool aims to provide useful feedback to students in the absence of immediate laboratory support and gives students the flexibility to conduct laboratory worksheets outside of scheduled laboratory slots.
Position: Software tools and teaching assistants heavily assist undergraduate students in learning how to program. In develop- ing enhanced software tools, we can provide immediate feedback to learners. Thus, allowing them to gain an initial understanding of the algorithm before facilitated sessions. This further enriches their experience and learning during contact hours with teaching assistants
Pan-RAF and MEK vertical inhibition enhances therapeutic response in non-V600 BRAF mutant cells
BACKGROUND: Currently, there are no available targeted therapy options for non-V600 BRAF mutated tumors. The aim of this study was to investigate the effects of RAF and MEK concurrent inhibition on tumor growth, migration, signaling and apoptosis induction in preclinical models of non-V600 BRAF mutant tumor cell lines. METHODS: Six BRAF mutated human tumor cell lines CRL5885 (G466 V), WM3629 (D594G), WM3670 (G469E), MDAMB231 (G464 V), CRL5922 (L597 V) and A375 (V600E as control) were investigated. Pan-RAF inhibitor (sorafenib or AZ628) and MEK inhibitor (selumetinib) or their combination were used in in vitro viability, video microscopy, immunoblot, cell cycle and TUNEL assays. The in vivo effects of the drugs were assessed in an orthotopic NSG mouse breast cancer model. RESULTS: All cell lines showed a significant growth inhibition with synergism in the sorafenib/AZ628 and selumetinib combination. Combination treatment resulted in higher Erk1/2 inhibition and in increased induction of apoptosis when compared to single agent treatments. However, single selumetinib treatment could cause adverse therapeutic effects, like increased cell migration in certain cells, selumetinib and sorafenib combination treatment lowered migratory capacity in all the cell lines. Importantly, combination resulted in significantly increased tumor growth inhibition in orthotropic xenografts of MDAMB231 cells when compared to sorafenib - but not to selumetinib - treatment. CONCLUSIONS: Our data suggests that combined blocking of RAF and MEK may achieve increased therapeutic response in non-V600 BRAF mutant tumors