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24-06-2019 | © istockphotos.com

Microbiota: a cure for obesity?

Effective treatment for obesity remains a challenge and the only intervention proven to maintain weight loss is bariatric surgery. Intrigued by the beneficial effect that this procedure has on the composition of gut microbiota, Dr Fredrik Bäckhed explores the possibility of mimicking these changes to develop a treatment for obesity that won’t require going under the knife.

15-05-2019 | © Hubert Plovier & Patrice Cani, WELBIO

Akkermansia, a friendly bacterium who cares

The abundant presence of a certain bacteria in our intestine, Akkermansia muciniphila, to give it its full name, is an excellent sign according to metabolism and nutrition specialist prof. Patrice Cani. With his team, they discovered the role of these bacteria in reducing cardiometabolic risk factors - like insulin resistance or hypertension – that are leading causes in the development of cardiovascular diseases and type-2 diabetes.

15-02-2019 | © picture

Understanding thinness to fight off obesity

According to the World Health Organisation (WHO), more than 1.9 billion adults were overweight in 2016. Of these, over 650 million were obese and therefore at a higher risk of developing cardiovascular diseases, diabetes, musculoskeletal disorders and some forms of cancers. In one of the largest studies of its kind, researchers have looked into the reasons why some people are more likely to gain weight while others manage to stay thin.

08-08-2018 | © Image: istockphotos.com

Classifying von Neumann algebras

Group theory, functional analysis and ergodic theory – three distinct areas of mathematics that meet within the theory of von Neumann algebras. The RIGIDITY project, funded by the ERC, aims to classify families of von Neumann algebras.

06-08-2018 | © picture

New tools to understand the large-scale behaviour of complex systems

Understanding complex structures means separating irrelevant information to get to something simpler and easier to understand. When you look at something from a distance – although you don’t see all the details, you can still describe what you see. ERC grantee Balázs Szegedy has developed several mathematical tools for providing a compressed yet useful view of complex structures.

03-08-2018 | © picture

Statistical inference for random functions and measures

How does one infer the dynamics of a DNA minicircle in solution? How does one align the neuronal firing patterns of several neurons across individuals? These questions are intrinsically statistical, but nevertheless escape the traditional tools of statistics. The ComplexData project investigated such questions from a mathematical and an applied context.

03-08-2018 | Rayleigh Taylor Instability ©DYCON

New approaches to controlling dynamics

Once limited to modelling physical problems in engineering, today Partial Differential Equations (PDEs) are used by a diverse array of fields, from natural resources to meteorology, aeronautics, oil and gas and biomedicine – to name only a few. But key mathematical issues remain unsolved, particularly when addressing their control, a must in technological transfer. The ERC-funded DYCON project aims to find answers.

02-08-2018 | ©HITS (Heidelberg Institut für Theoretische Studien)

Understanding the deformation spaces of geometric structures

Funded by the ERC, Prof. Anna Wienhard studies several new geometric forms that have been discovered over the past 20 years. These structures are closely related to the generalisation of Teichmüller space, which describes how the surface of a pretzel can be endowed with the geometry of an Escher painting.

01-08-2018 | © picture

Unravelling the mysteries of homogeneous dynamics

How do you study arithmetic objects like integer points using the theory of dynamical systems? The answer is homogenous dynamics, and this connection goes both ways. The GMODGAMMADYNAMICS project, funded by an ERC grant, took a broad approach towards studying this rich interplay.

30-07-2018 | © picture

Getting to grips with (slow) chaos

Chaotic systems are everywhere: the weather, molecules in a gas, the stock market. Small variations in initial conditions can lead to a drastically different time evolution, a phenomenon known as the butterfly effect. Systems can be classified according to how fast different, nearby initial conditions diverge in time. Supported by the ERC, Prof. Corinna Ulcigrai is investigating systems for which nearby initial conditions diverge slowly in time, to uncover mechanisms which explain their complex behaviour.