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Comparative Seismic Laboratory and Non-Contact Field Measurements of Asphalt Concrete

Non-contact acoustic field measurements are performed on a newly built highway to characterize the real part of the dynamic modulus of the asphalt concrete (AC) top layer. The in situ measurements are performed using an array of 48 micro-electromechanical system (MEMS) sensors. Cores extracted from the field measurement positions are then examined in a laboratory using seismic modal testing for co

Inflammation and Stem Cell Therapy for Stroke

Ischemic stroke is a leading cause of death and disability worldwide. Currently, there is no treatment that can promote recovery in the chronic phase. It has been shown that neurogenesis occurs in ischemic striatum in rodents and probably also in humans. Moreover, blood-borne macrophages have been found to enhance spontaneous post- stroke recovery in mice. These findings have suggested potential n

Jitter-correction for IR/UV-XUV pump-probe experiments at the FLASH free-electron laser

In pump-probe experiments employing a free-electron laser (FEL) in combination with a synchronized optical femtosecond laser, the arrival-time jitter between the FEL pulse and the optical laser pulse often severely limits the temporal resolution that can be achieved. Here, we present a pump-probe experiment on the UV-induced dissociation of 2,6-difluoroiodobenzene (C6H3F2I) molecules performed at

The Entangled Media Geographies of the Nordics : Contemporary Scandinavian Production Practices through the Prism of Audio-visual Nordic Noir

The Entangled Media Geographies of the Nordics: Contemporary Scandinavian Production Practices through the Prism of Audio-visual Nordic Noir.Olof Hedling, Lund UniversityAlthough predominantly contemporary in its outlook, this paper attempts to grabble with a particular development in media history, namely the gradual de-nationalization, or, perhaps more accurately, the increasingly transnational

Extracting Cardiac Information From the Pressure Sensors of a Dialysis Machine

This doctoral thesis in biomedical engineering deals with cardiac monitoring using the built-in extracorporeal blood pressure sensors of a hemodialysis machine. Patients treated with hemodialysis often suffer from cardiovascular disease. Despite this, cardiac monitoring is not routinely performed during dialysis treatment, since external devises required for such monitoring causes patient discomfo

Artificial neural networks for recognition of electrocardiographic lead reversal

Misplacement of electrodes during the recording of an electrocardiogram (ECG) can cause an incorrect interpretation, misdiagnosis, and subsequent lack of proper treatment. The purpose of this study was twofold: (1) to develop artificial neural networks that yield peak sensitivity for the recognition of right/left arm lead reversal at a very high specificity; and (2) to compare the performances of

Finite-size scaling at phase coexistence

From a finite-size scaling (FSS) theory of cumulants of the order parameter at phase-coexistence points, we reconstruct the scaling of the moments. Assuming that the cumulants allow a reconstruction of the free energy density no better than as an asymptotic expansion, we find that FSS for moments of low order is still complete. We suggest ways of using this theory for the analysis of numerical sim

Extensions and explorations of the elastic arms algorithm

The deformable templates method for track finding in high energy physics is reviewed and extended to handle multiple and secondary vertex positions. An automatized minimization method that handles different types of parametrizations is derived. It is based on the gradient descent method but modified with an explicit calculation of the natural metric. Also a simplified and more intuitive derivation

Track finding with deformable templates - the elastic arms approach

A novel algorithm for particle tracking is presented and evaluated. It is based on deformable templates that converge using a deterministic annealing algorithm. These deformable templates are initialized by Hough transforms. The algorithm, which effectively represents a merger between neuronic decision making and parameter fitting, naturally lends itself to parallel execution. Very good performanc