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Every year, there are more than 2500 new international students coming to Lund University and starting their higher education path. A higher number of foreign students increased the international competitiveness of Lund University, but at the same time the international students had to face many problems for instance, culture shock and language barriers. In this report we focused on issues in teac
Background: In stage I/II natural killer (NK)/T-cell lymphoma, concurrent chemoradiotherapy (CCRT) had previously been shown to result in superior outcome compared with anthracycline-containing regimens, which have since been considered ineffective. The role of CCRT in comparison with approaches employing nonanthracycline-containing chemotherapy (CT) and sequential radiotherapy (RT) in such patien
How can artistic creative practice be combined with ethnological cultural analysis? A process based on practices of art probing is proposed and related to discussions about museum imaginaries, digital cultures and sensory aspects of ethnography. The point of departure for the discussion is the audiovisual performance Possible Worlds.
Background Prostate cancer is one of the leading causes of cancer related deaths. For diagnosis, predicting the outcome of the disease, and for assessing potential new biomarkers, pathologists and researchers routinely analyze histological samples. Morphological and molecular information may be integrated by aligning microscopic histological images in a multiplex fashion. This process is usually
Klinisk kemi på Helsingborgs lasarett analyserar prover från sjukhuset, kringliggande vårdcentraler och prover från patienter som kommer till den närliggande provtagningscentralen (PTC). En önskan om att erbjuda ett one stop clinic-koncept till ett antal diabetespatienter har växt fram. Det skulle innebära att patienterna kommer för provtagning till PTC och besöker läkaren vid ett och samma tillfäThe division of Clinical Chemistry at Helsingborg Hospital analyses human biological samples from the hospital, adjacent care centres and from patients who take the samples at the neighbouring centre (PTC). The division of Clinical Chemistry has a vision of being able to offer a one stop clinic-concept to a group of patients diagnosed with diabetes. This would mean that the patient could take the
We consider the problem of reconstructing the sound field in a room using prior information of the boundary geometry, represented as a point cloud. In general, when no boundary information is available, an accurate sound field reconstruction over a large spatial region and at high frequencies requires numerous microphone measurements. On the other hand, if all geometrical and acoustical aspects of
Deception jamming is a powerful technique used to disrupt various radar systems. In this work, we propose a novel sensor selection scheme for FDA-MIMO radar systems designed to maximize the likelihood of accurate jammer identification. The approach exploits the inherent delay between a jammer measuring incoming waveforms and its response. This delay induces a slight shift in the perceived distance
Many forms of small-size radars suffer from minor clock oscillations due to crystalline impurities in their internal clocks, causing time-varying clock offsets between the transmitter and the receivers. This offset causes a bias and an increased variance in the positioning of close-range targets, limiting the achievable accuracy well beyond the expected estimation limitations. Furthermore, an appr
In this work, we consider the problem of estimating the directions of arrival of far-field sources impinging on a sensor array using a computationally efficient approach. A novel adaptive grid selection technique is employed to reduce the dimensionality of the used dictionary matrix. The method further makes use of a SPICE-inspired dictionary to adaptively select an appropriate regularization para
This article addresses the detection and estimation problems of a distributed multiple-input and multiple-output (MIMO) radar system with synchronization errors. In such cases, the outputs of all waveform-specific matched filters contain errors in the resulting time delay estimates, which will cause biases in the corresponding estimation of the active range cells. To overcome the impact resulting
Frequency diverse array (FDA) radars provide a potential solution to target localisation along the slant range and azimuth angle due to the range-angle-dependent transmit beampattern caused by the used frequency increments. However, the S -shaped beampattern resulting from the standard FDA leads to multiple candidate location estimates, introducing ambiguity in the target localization. To make ful
Recent advances have shown that sound fields can be accurately interpolated between microphone measurements when the spatial covariance matrix is known. This matrix may be estimated in various ways; one promising approach is to use a plane wave formulation with sparse priors, although this may require the use of a many microphones to suppress the noise. To overcome this, we introduce a time domain
Vowel-based voice analysis is gaining attention as a potential non-invasive tool for COPD classification, offering insights into phonatory function. The growing need for voice data has necessitated the adoption of various techniques, including segmentation, to augment existing datasets for training comprehensive Machine Learning (ML) modelsThis study aims to investigate the possible effects of seg
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)
We devise a feed-forward Artificial Neural Network (ANN) procedure for predicting utility loads and present the resulting predictions for two test problems given by ``The Great Energy Predictor Shootout - The First Building Data Analysis and Prediction Competition''. Key ingredients in our approach are a method ($\delta$ -test) for determiningrelevant inputs and the Multilayer Perceptron. These me
We present a trajectory tracking controller for a quadrotor unmanned aerial vehicle (UAV) configured on SU(2) × R3, and relate this result to a family of geometric tracking controllers on SO(3) × R3. The theoretical results are verified in several simulation examples, and the controller is subsequently implemented in practice and integrated with a simultaneous localization and mapping (SLAM) syste
This work is concerned with determining optimal sensor placements that allow for an accurate location estimate of structured signal sources, taking into account the expected location areas and the typical range of the parameters detailing the signals. In the presentation, we illustrate the technique for tonal sound signals, exploiting the expected harmonic structure of such signals. To determine p
An important issue in simultaneous localisation and mapping is how to match and merge individual local maps into one global map. This is addressed within the field of robotics and is crucial for multi-robot SLAM. There are a number of different ways to solve this task depending on the representation of the map. To take advantage of matching and merging methods that allow for deformations of the lo
The most limiting factor in heart transplantation is the lack of donor organs. With enhanced prediction of outcome, it may be possible to increase the life-years from the organs that become available. Applications of machine learning to tabular data, typical of clinical decision support, pose the practical question of interpretation, which has technical and potential ethical implications. In parti
Acoustic impulse responses (IRs) are widely used to model sound propagation between two points in space. Being a point-to-point description, IRs are generally estimated based on input-output pairs for source and sensor positions of interest. Alternatively, the IR at an arbitrary location in space may be constructed based on interpolation techniques, thus alleviating the need of densely sampling th
