In fact, there are restrictive conditions which data from time series need to satisfy for classical statistical methods to be applicable. The second example describes recent developments of analysis techniques for time series with non-trivial temporal trends. Modern climate research has joined forces with economy and the social sciences to generate a scientific basis for informed political decisions in the face of global climate change.
One major type of problems hampering progress of the related interdisciplinary research consists of often subtle language barriers. The third example describes how mathematical formalization of the notion of 'vulnerability' has helped structuring related interdisciplinary research efforts. Contact: luca. His main research area are asymptotic analysis of multiscale flows, with special focus on climate modelling, and numerical methods for environmental flows.
This is a joint work with A.
Five Practical Uses for "Spooky" Quantum Mechanics | Science | Smithsonian
Figalli and A. Advances in numerical techniques and the ever increasing computational power have rendered the execution of forward models of total heart function feasible. Using such models based on clinical images and parameterized to reflect a given patient's physiology, are a highly promising approach to comprehensively and quantitatively characterize cardiovascular function in a given patient. Such models are anticipated to play a pivotal role in future precision medicine as a method to stratify diseases, optimize therapeutic procedures, predict outcomes and thus better inform clinical decision making.
However, to translate modeling into a clinically applicable modality a number of key challenges have to be addressed. In particular, expensive computational models must be made efficient enough to be compatible with clinical time frames. This can be addressed either with hierarchical models of varying complexity which are cheaper to evaluate, by using computational efficient techniques such as spatio-temporal adaptivity, or by exploiting the power of new HPC hardware through massive parallelization or the use of accelerators.
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Further, the etiology of most cardiac pathologies comprises Multiphysics aspects, requiring the coupling of various physics, which may be characterized by very different space and time scales, rendering their coupling a challenging endeavor. Finally and most importantly, to be of clinical utility generic models must be specialized based on clinical data, which requires complex parameterization and data assimilation procedures to match model behavior with clinical observations. In this presentation, I will give an overview of our multi-physics forward modelling framework and our recent work on m personalising models using clinical data.
He received an M. Degree in Electrical Engineering in and a Ph. His research is focused on the development of anatomically accurate and biophysically detailed in silico models of cardiac function to gain mechanistic insights into electrophysiological, electromechanical and mechano-fluidic behavior in health and disease. His work has a strong translational component centered on improving diagnosis and treatment of cardiovascular diseases with the main focus on pacing therapies to treat arrhythmias and pump dysfunction.
In this regard parameter identification and data assimilation strategies for personalizing models to a specific patient have become a major avenue of research in his lab. Jointly with Dr. The ability to measure the heart, its shape, its structure and its function across multiple spatial and temporal scales continues to grow.
Interpreting this data remains challenging. Computational biophysical models of the heart allow us to quantitatively link and interpret these large disparate data sets within the context of known cardiac physiology and invariable physical constraints.
Within these models, we can infer unobservable states, propose and test new hypothesis and predict how systems will respond to challenges increasing our ability to interrogate and understand biological systems. We are increasingly applying this approach to modelling human hearts to investigate clinical applications. The company says these are the world's first commercially available quantum computers. There's also uncertainty over whether the chips display any reliable quantum speedup. This type of microscope fires two beams of photons at a substance and measures the interference pattern created by the reflected beams—the pattern changes depending on whether they hit a flat or uneven surface.
Using entangled photons greatly increases the amount of information the microscope can gather, as measuring one entangled photon gives information about its partner. The Hokkaido team managed to image an engraved "Q" that stood just 17 nanometers above the background with unprecedented sharpness. Similar techniques could be used to improve the resolution of astronomy tools called interferometers, which superimpose different waves of light to better analyze their properties.
Interferometers are used in the hunt for extrasolar planets, to probe nearby stars and to search for ripples in spacetime called gravitational waves. Humans aren't the only ones making use of quantum mechanics. One leading theory suggests that birds like the European robin use the spooky action to keep on track when they migrate. The method involves a light-sensitive protein called cryptochrome, which may contain entangled electrons. As photons enter the eye, they hit the cryptochrome molecules and can deliver enough energy to break them apart, forming two reactive molecules, or radicals, with unpaired but still entangled electrons.
The magnetic field surrounding the bird influences how long these cryptochrome radicals last.
This process isn't full understood, though, and there is another option: Birds' magnetic sensitivity could be due to small crystals of magnetic minerals in their beaks. The magnetic compass could also be applicable to certain lizards, crustaceans, insects and even some mammals.
Five Practical Uses for “Spooky” Quantum Mechanics
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Quantum Measurement Theory and its Applications
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