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L² Sampled Signal Reconstruction with Causality Constraints: Part II—Theory
Time-reversal retrofocusing and inverse scattering
Experiences of wage growth: Gender differences among late nineteenth century cigar workers.
Pedagogiska meriter : ett rundabordssamtal om bedömning
Imaging of acetabular fractures.
Time-domain Green dyadics for temporally dispersive, simple media
Time-domain fundamental solutions and Green dyadics for temporally dispersive, simple media are introduced. Second forerunner approximations to the electromagnetic fields from an electric point dipole in unbounded dispersive materials are obtained. Numerical results for two frequently used material models are presented. Moreover, surface integral representations of the electromagnetic fields in di
3D Effects on 2D Resistivity Imaging – Modelling and Field Surveying Results
Nanowires in Cell Biology
This thesis explores the interactions between cells and nanowires, to increase our understanding of how cells are affected and how they can be manipulated by these one-dimensional, semiconductor crystals (lengths 1-10 µm, diameters
The impact of PET and SPECT on dosimetry for targeted radionuclide therapy
Assessment of Achievable Performance of Simple Feedback Loops
Health issues, housing and societal support in very old age in Latvia.
krAft – A Swedish Hubs and Spokes Network in Business Development Programmes
Explaining artificial neural network ensembles: A case study with electrocardiograms from chest pain patients
Artificial neural networks is one of the most commonly used machine learning algorithms in medical applications. However, they are still not used in practice in the clinics partly due to their lack of explanatory capacity. We compare two case-based explanation methods to two trained physicians on analysis of electrocardiogram (ECG) data from patients with a suspected acute coronary syndrome (ACS).