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Nuclear Quadrupole Resonance (NQR) is a method of de- tection and unique characterization of compounds containing quadrupolar nuclei, commonly found in many forms of ex- plosives, narcotics, and medicines. Typically, multi-pulse sequences are used to acquire the NQR signal, allowing the resulting signal to be well modeled as a sum of exponentially damped sinusoidal echoes. In this paper, we improv
We use a variational approach to find the best constants for certain Gagliardo-Nirenberg inequalities on the real line. To show the existence of a minimizer, we use the method of concentration-compactness.
This report titled Best available technologies and techniques for large point sources has been prepared within the framework of the programme on Regional Air Pollution in Developing Countries (RAPIDC), Phase III conducted during the period 2005-2008. RAPIDC is funded by the Department of Infrastructure and Economic Cooperation (INEC) of the Swedish International Development Cooperation Agency SIDA
Effects of flow are a fundamental part of magnetic resonance imaging (MRI). Since almost every part of the body contains some kind of flow, the effects are seen in generally all MR images. The presence of flow in an image slice may be a vast source of artefacts but the effects of flow can also be used for diagnostic purposes, for example in magnetic resonance angiography (MRA). In MRA, flow effect
Multi-component transient signals show up in many different areas, most commonly in communication and radar but are also often found in measurements of human related signals, such as electrical responses of the heart and the brain. Transient signals are also typical in animal acoustic applications, e.g., dolphin echo locations and bird song syllables. The usual basis functions in linear modeling oMulti-component transient signals show up in many different areas, most commonly in communication and radar but are also often found in measurements of human related signals, such as electrical responses of the heart and the brain. Transient signals are also typical in animal acoustic applications, e.g., dolphin echo locations and bird song syllables. The usual basis functions in linear modeling o
Photomultiplier tube (PMT) nonlinearities relevant for single shot high-speed lifetime phosphor thermometry were investigated by simulating decay curves with a light emitting diode (LED) at repetition rates between 1 Hz and 10 kHz. The PMT gain, LED decay time, and background radiant flux were also varied to investigate their impact on the measured decay time error. Errors in the measured decay tiPhotomultiplier tube (PMT) nonlinearities relevant for single shot high-speed lifetime phosphor thermometry were investigated by simulating decay curves with a light emitting diode (LED) at repetition rates between 1 Hz and 10 kHz. The PMT gain, LED decay time, and background radiant flux were also varied to investigate their impact on the measured decay time error. Errors in the measured decay ti
Cells in vivo are subjected continuously to multiple biochemical and biophysical stimuli from their microenvironment that regulate cell fate and function. Although two-dimensional (2D) platforms to check cell responses to various microenvironmental factors have been established, these methods lack physiological relevance. Macroscale three-dimensional (3D) cell culture platforms were developed to p
In this work, we extend recent results on the Cramé r-Rao lower bound for multidimensional non-uniformly sampled Nuclear Magnetic Resonance (NMR) signals. The used signal model is more general than earlier models, allowing for the typically present variance differences between the direct and the dif- ferent indirect sampling dimensions. The presented bound is verified with earlier presented 1-and
Constitutional monarchy offers Iran a politically stable and culturally resonant alternative to partisan republicanism. Grounded in both empirical research and philosophical tradition, it combines symbolic authority with institutional continuity, enabling national unity without authoritarianism. Monarchs function as neutral anchors above political conflict, often at lower public cost and with grea
Smoking and hazardous drinking are common and important risk factors for an increased rate of complications after surgery. The underlying pathophysiological mechanisms include organic dysfunctions that can recover with abstinence. Abstinence starting 3-8 weeks before surgery will significantly reduce the incidence of several serious postoperative complications, such as wound and cardiopulmonary co
This paper examines the potential benefits of applying next best view planning to sequential 3D reconstruction from unordered image sequences. A standard sequential structure-and-motion pipeline is extended with active selection of the order in which cameras are resectioned. To this end, approximate covariance propagation is implemented throughout the system, providing running estimates of the unc
This master thesis was commissioned by Det Norske Veritas (DNV) and was conducted at the department of Energy Sciences at the Faculty of Engineering, Lund University. The purpose of the thesis was to develop a structured and uniform methodology for Best Available Techniques (BAT) assessments of oil-‐ and gas installations. BAT is defined in the EU directive on Integrated Pollution Prevention and
We apply the statistical sparse jump model, a recently devel-oped, interpretable and robust regime switching model, to infer key featuresthat drive the return dynamics of the largest cryptocurrencies. The algorithmjointly performs feature selection, parameter estimation, and state classifica-tion. Our large set of candidate features are partly based on cryptocurrency,sentiment and financial market We apply the statistical sparse jump model, a recently devel-oped, interpretable and robust regime switching model, to infer key featuresthat drive the return dynamics of the largest cryptocurrencies. The algorithmjointly performs feature selection, parameter estimation, and state classifica-tion. Our large set of candidate features are partly based on cryptocurrency,sentiment and financial marke
In this thesis, we address the problem of locating a passive target using a multiple-input multiple-output (MIMO) radar with widely separated antennas (WSA). Using a WSA geometry, the spatial diversity of the transmit and receive antennas are utilized to improve the localization accuracy. First, common numerical algorithms are examined, including the Newton-Raphson (NR) method with the maximum lik
When new technologies for the health care sector are developed, it is of outmost importance to increase the possibilities of survival and remain high quality of life for patients. During the conception and design of such technologies, the problem to solve and the possible solutions to achieve have to be well understood and the scope has to be defined. For the particular case of the project LISA, t
Time-frequency (TF) postprocessing methods are often used to form concentrated TF representations (TFRs) for nonstationary signals. Regrettably, most such techniques are sensitive to noise and tend to underestimate weak components when dealing with transient signals, resulting in sidelobes and low-resolution TFRs. In this work, we introduce a generalized group delay (GD) weighted sparse TF (GWSTF)
Pairwise comparison of sound and radio signals can be used to estimate the distance between two units that send and receive signals. In a similar way it is possible to estimate differences of distances by correlating two received signals. There are essentially two groups of such methods, namely methods that are robust to noise and reverberation, but give limited precision and sub-sample refinement
