Tidlegare arrangement - Side 101

The TEAM-program is an educational intervention to provide team training for first-year medical and other healthcare students. The aim of the program is two-fold:

(1) To build trust and team skills among the students in order to develop an inclusive and collaborative learning environment.

(2) To prepare the students for their future roles as leaders, communicators and collaborators in an increasingly more complex healthcare system.

The core element is a two-day team seminar, inspired by the Program Seminars at the MN-Faculty, UiO, and the Learning-Team Retreat, at Perelman School of Medicine, UPenn. 

The program is based on a step-wise, research-based model for building well-functioning teams, where each step is implemented through specific activities.

The development and execution of the program is facilitated by near-peer mentors, who follow their designated learning teams through the first year. The educational intervention is systematically evaluated and involves several research projects. Here I will present the program, share what we have learned so far and discuss future developments.

Njord Seminar with talks by:

Marthe Grønlie Guren (Njord, UiO): "Linking dissolution rates at carbonate surfaces using X-ray tomography and numerical modelling"

Paiman Shafabakhsh (Njord, UiO) : "Neutron and X-ray imaging of reactive-mixing in porous rocks"

Dag Kristian Dysthe (Njord, UiO) -  An update on his work at the moment.

Msc. Giuseppe at the Department of Chemistry, Faculty of Mathematics and Natural Sciences, is defending the thesis
«Vapour-solid interactions for SMSB and asymmetric amplification of pyrimidine and pyridine aldehydes» for the degree of Philosophiae Doctor.

Hylleraas seminar, hosted in Oslo

Stephen Hladky presents work in collaboration with Margery A. Barrand (both Department of Pharmacology, University of Cambridge).

Abstract: Extravascular fluxes of marker substances and some wastes are sufficiently fast that there is almost certain to be a component of flow augmenting their diffusion in the parenchyma. There have been two major proposals for how this flow is produced and where it is important. The evidence for the classical and glymphatic hypotheses will be reviewed. Extravascular, and in particular perivascular, routes for fluid movement out of the parenchyma to lymphatics may be important in the development of hydrocephalus.

Benjamin Keller, Department of Physics and Materials Science, University of Memphis.

MENAgeriet inviterer alle jenter som studerer realfag til en kveld med taco, hygge og nettverksbygging. Gratis å delta og ingen påmelding. 

Et faglig tilbud til alle bachelorstudenter som tar emner på Kjemisk institutt. Tilbudet er særlig relevant for deg som følger: MENA1001, KJM1101, KJM1130 og KJM2400.

I will explain how motivic homotopy theory can be used to attack problems regarding finite projective modules over smooth affine k-algebras. I will recall in particular the foundational theorem of Morel and Asok-Hoyois-Wendt, and the construction of the Barge-Morel Euler class. Time permitting, I will explain recent progress on Murthy's splitting conjecture.

C*-algebra seminar talk by Marco Matassa (OsloMet)

"Synthetic studies toward an analog of Protectin D1n-3 DPA"

Dr. Douglas Rowland, NASA/Goddard Space Flight Center

Tittel: 

The application of penalized logistic regression for fraud detection

SPARK Norway Educational Forum are monthly open meetings organized by UiO:Life Science and SPARK Norway partners.

Financial risk arising from the increasing of life expectancy. This is all in a nutshell. To know more, come to the lecture: forecasting, modelling, quantification.

Go on exchange to the world's northernmost campus, 78 ° north! As a science student at UiO, you can take courses at the University Center on Svalbard (UNIS) as part of your degree.

We combine a systematic approach for deriving general a posteriori
 error estimates for convex minimization problems using convex duality relations with a recently derived generalized Marini formula. The resulting a posteriori error estimates are essentially constant-free and apply to a large class of variational problems including the p-Dirichlet problem, as well as degenerate minimization, obstacle and image de-noising problems.
For the p-Dirichlet problem, the a posteriori error bounds are equivalent to the classical residual type a posteriori error bounds and, hence, reliable and efficient.

This week we have the pleasure of having Helga Bodahl Holmestad, Sigurd Holmsen and Øystein Høistad from SINTEF.

Helga is a senior researcher at SINTEF (with a PhD in particle physics) while Sigurd and Øystein are working on their master of science thesis with supervisors from SINTEF, using machine learning and AI.

They will talk about research and job possibilities at SINTEF (in particular summer jobs with deadline coming up soon for summer 2023, of interest to many of you) as well as topics for Master of Science projects and other job possibilities. 

Helga and Øystein will focus on machine learning applied to real life projects (in particular in connection with civil engineering and large construction plans) while Sigurd will present a project on machine learning applied to learning physical laws.

Saghir Bashir, ilustat & Centre of Statistics and its Applications (CEAUL), Faculty of Sciences, University of Lisbon.

Et faglig tilbud til alle bachelorstudenter som tar emner på Kjemisk institutt. Tilbudet er særlig relevant for deg som følger: MENA1001, KJM1101, KJM1130 og KJM2400. Møt også studentforeningene som serverer deg vafler. 

Abstract (PDF)

The physics laboratory is a complex environment where students encounter the messiness of the real world, use scientific equipment, execute experimental procedures, make predictions using mathematical and computational models, and more. Despite their potential value, the lab experience can be negative or not effective, especially if the goals and outcomes are not well aligned.

This presentation uses Activity Theory (AT) to make sense of three very different laboratory environments: the “traditional lab”, RealTime Physics (a focus on conceptual learning), and Thinking Critically in Physics Labs (a focus on scientific abilities).

The presentation may be interesting to anyone who is developing or studying laboratory instruction in the sciences.

Hylleraas seminar, hosted in Oslo

Doctoral candidate Dennis Schroers at the Department of Mathematics will be defending the thesis New Topics in Nonlinear Functional Data Analysis for the degree of Philosophiae Doctor.