Filtyp
Kan vi enas? Mitt samtal gäller: Vilka bedömningsgrunder vilar vår betygsättning på vad gäller kandidat-, magister- och masteruppsatser? Har vi lärare vid de olika ämnena inom humaniora vid Lunds universitet ungefär samma bedömningsgrunder? Eller som Åsa Lindberg-Sand problematiserar frågan ”Vad är det lärare faktiskt bedömer?” I våra kursplaner finns visserligen målen för kursen och kursinnehål
This paper analyses an impact of religious practice on the development of the tense system, in particular the future tense. There have been rich typological studies on the tense, which reveal that a basic tense distinction is either past vs. non-past or past vs. present vs. future in most languages. From evolutionary/historical perspectives, the former case is older than the latter one, i.e. the f
ELT science drivers stress aperture, Strehl ratio, PSF definition andstability, field of view, wavelength range, flexibility, lowpolarisation and thermal emittance, auxiliary instruments, site andinfrastructure. Applicable science categories are planets and planetarysystems, stars and stellar systems, galaxies and galaxy clusters, andcosmology. ELT observations are needed for our own and other pla
The frame story
takes place in a dystopian Europe, possibly some kind of European Union around 2050 – in a state of conflicts and decay. The protagonists are a retired general, Piscator (cf. Fisher King) and a former journalist, Perle Vaus (cf. Perlesvaus/Perceval/Parsifal). She lost her home because of a new genderrelated law and stays homeless with others, covered by the Saxon bridge.
We study the homogenization of the Dirichlet problem for the Stokes equations in R3 perforated by m spherical particles. We assume the positions and velocities of the particles to be identically and independently distributed random variables. In the critical regime, when the radii of the particles are of order m-1, the homogenization limit u is given as the solution to the Brinkman equations. We p
University students’ conceptions of differentiability, continuity and relationsbetween these concepts were studied to reveal their choices of representationsand their strategies to justify their relational claims. Questionnaires and interviews were used to collect data. The results were analysed and categorizedthrough a framework based on understanding as connections between concepts,and a theory
The development of physics-informed deep learning is radically changing compu-tational science and engineering, allowing for an effective integration ofphysics-based and datadriven modeling. Deep learning provides a powerful tool forthe discovery of governing dynamics underneath data and enables nonlinear model-reduction. A Bayesian viewpoint of deep learning is discussed in this chapter towards t
