A challenge in organic chemistry as well as in other subjects is that a set of fundamental skills is required to master more advanced topics. In an attempt to force students to invest in learning fundamental concepts before working with more advanced topics, we have introduced weekly compulsory quizzes and associated practice tests in our introductory organic chemistry course. The weekly quizzes are ...

Deep Neural networks has pushed the boundary for what is achievable in the field of machine learning. At its core the Neural network maps data from an input space, to a highly abstract latent space. The representations of these latent mappings are critical for the neural networks ability to perform the task it is given. However critical, our knowledge on these abstract representations in the latent ...

Coupled ice sheet–ocean models are increasingly being developed and applied to important questions pertaining to processes at the Greenland and Antarctic Ice Sheet margins, which play a pivotal role in ice sheet stability and sea level rise projections. One of the challenges of such coupled modelling activities is the timescale discrepancy between ice and ocean dynamics. This discrepancy, combined ...

Baffin Bay is located between Greenland and several islands of the Canadian Arctic, providing a conduit for the downstream transport of ice and freshwater to the North Atlantic via Davis Strait. Using satellite observations from Sentinel‐1, the RADARSAT Constellation Mission, and CryoSat‐2, we estimated the sea ice export through Davis Strait and winter ice production in Baffin Bay from 2016 to ...

Simple climate models (also known as emulators) have re-emerged as critical tools for the analysis of climate policy. Emulators are efficient and highly parameterised, where the parameters are tunable to produce a diversity of global mean surface temperature (GMST) response pathways to a given emission scenario. Only a small fraction of possible parameter combinations will produce historically ...

Background - Despite demands to make higher education more relevant beyond academia, and a growing body of work testifying to the benefits of work-relevance programs (e.g., work-placements, or internships) for both students and the companies that host them, there is limited information available for those aiming to optimize these programs. For example, few have explored the challenges and needs of ...

We study Sym(∞)-orbit closures of non-necessarily closed points in the Zariski spectrum of the infinite polynomial ring C[xij : i ∈ N, j ∈ [n]]. Among others, we characterize invariant prime ideals in this ring. Furthermore, we study projections of basic equivariant semi-algebraic sets defined by Sym(∞) orbits of polynomials in R[xij : i ∈ N, j ∈ [n]]. For n = 1 we prove a quantifier elimination ...

Fjernstyrt koordinering av lufttrafikk er implementert og driftes idag på 11 lufthavner i Norge. Organisering av norsk luftfart tilknyttet kortbanenettet og den norske geografien har gjort uttesting av fjernstyrt teknologi egnet. Formålet med studiet er å belyse tematikken i et sikkerhetsperspektiv gjennom kobling mellom teknologi og menneske. Dette studiet omhandler fjernstyrt tårntjenestes påvirkning ...

To viktige prinsipper for å øke studentenes læring i undervisning er aktiv deltagelse og formativ vurdering. Innføring av disse prinsippene i undervisning med store studentgrupper kan imidlertid by på utfordringer, særlig i nettbasert undervisning. En mulig løsning kan være bruk av flervalgsoppgaver som diagnostisk testing med innsamling av svarene og påfølgende formativ vurdering – en undervisningsform ...

Deep Learning in modern Artificial Intelligence (AI) has witnessed unprecedented success on a variety of domains over the past decade, ranging from computer vision to natural language reasoning tasks. This success is owed primarily to the availability of large, annotated datasets, the existence of powerful mathematical models, and the mechanism to train large models on such data with advanced resources ...