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Carefully selecting the source data is crucial to achieve high performance of transfer learning methods for brain–computer interfaces (BCIs). Especially so in settings where a large amount of source data is available, and finding the optimal source is not computationally feasible. This paper presents a novel method for source selection, the so-called Transfer Performance Predictor (TPP) method. Th

The healthcare systems of today are facing large challenges, with increasing amounts of patients and overworked hospital staff. Prostate cancer and Alzheimer’s disease are two of the most prevalent diseases, with incidence numbers expected to rise over the coming decade. Medical imaging plays a central role in current diagnostic procedures for these diseases, enabling the potential use of machine-

In multi-user multiple-input multiple-output (MU-MIMO) systems, the non-linear behavior of the power amplifiers (PAs) may cause degradation of the linear precoding schemes dealing with interference between user equipments (UEs), e.g., the zero-forcing (ZF) precoder. One way to minimize this effect is to use digital-pre-distortion (DPD) modules to linearize the PAs. However, using perfect DPD modul

Levodopa-induced dyskinesia (LID) is a debilitating complication of symptomatic therapy in Parkinson's disease. Although there is compelling evidence that striatal pathophysiology is a major driver of LID, the specific circuit mechanisms governing its expression remain obscure. To address this gap, molecular, cellular, and behavioral strategies were used to interrogate circuits in a mouse model of

Today, drug assisted treatment of Methadone and Subutex is well established in Swedish society. However, it has since the late 1960´s been differing perceptions of both the pros and cons on drug assisted therapy. The purpose and aim of this study was to explore and describe what kind of ethical attitudes social workers and representatives of the Swedish Drug Users Union (SDUU) usually have around

Popular Abstract in English Labour is said to be obstructed when the baby’s presenting part fails to descend through the birth canal despite strong uterine contractions. Obstructed labour is one of the major causes of maternal and neonatal mortality and morbidity in low-income countries. It is mostly caused by disproportion between the baby’s head and mother’s pelvis but also abnormal presentationLabour is said to be obstructed when the presenting part fails to descend through the birth canal despite strong uterine contractions. The condition is mostly prevalent in low-income countries where the main causes are cephalopelvic disproportion and malpresentation. The overall aim of this thesis was to investigate the individual, community and health system factors associated with obstructed lab

From the end of the nineteenth century and one hundred years onward, home sewing was an important part of many women’s duties, but it was also a pleasure, something that existed parallel with the emerging mass-produced ready-to-wear industry. The paper patterns used for home dressmaking were often sold and distributed through women’s magazines. These pattern sections were both a kind of reader serFrom the end of the nineteenth century and one hundred years onward, home sewing was an important part of many women’s duties, but it was also a pleasure, something that existed parallel with the emerging mass-produced ready-to-wear industry. The paper patterns used for home dressmaking were often sold and distributed through women’s magazines. These pattern sections were both a kind of reader ser

Understanding mitochondrial biology and pathology is key to understanding the evolution of animal form and function. However, mitochondrial measurement often involves invasive, or even terminal, sampling, which can be difficult to reconcile in wild models or longitudinal studies. Non-mammal vertebrates contain mitochondria in their red blood cells, which can be exploited for minimally invasive mit

The Soma and Neurite Density Imaging (SANDI) three-compartment model was recently proposed to disentangle cylindrical and spherical geometries, attributed to neurite and soma compartments, respectively, in brain tissue. There are some recent advances in diffusion-weighted MRI signal encoding and analysis (including the use of multiple so-called ’b-tensor’ encodings and analysing the signal in the

Diffusion encoding along multiple spatial directions per signal acquisition can be described in terms of a b-tensor. The benefit of tensor-valued diffusion encoding is that it unlocks the 'shape of the b-tensor' as a new encoding dimension. By modulating the b-tensor shape, we can control the sensitivity to microscopic diffusion anisotropy which can be used as a contrast mechanism; a feature that

Probing the cellular structure of in vivo biological tissue is a fundamental problem in biomedical imaging and medical science. This work introduces an approach for analyzing diffusion magnetic resonance imaging data acquired by the novel tensor-valued encoding technique for characterizing tissue microstructure. Our approach first uses a signal model to estimate the variance and skewness of the di

Diffusion tensor imaging provides increased sensitivity to microstructural tissue changes compared to conventional anatomical imaging but also presents limited specificity. To tackle this problem, the DIAMOND model subdivides the voxel content into diffusion compartments and draws from diffusion-weighted data to estimate compartmental non-central matrix-variate Gamma distributions of diffusion ten

The aim of this article is to present the archival practice behind two extensive research projects that we have worked on during the last decade: the Stockholm Film Workshop and minor immigrant filmmaking in Sweden. Archive has become a general catchword in today’s academia that encompasses several practices of collecting, storing, distributing and displaying. We will stress in particular – partly

Risk analysis is important for safety-critical IT systems and services, both in public and private organizations. However, the actual practices and the challenges of risk analysis in these contexts have not been fully explored. This paper investigates the current practices of risk analysis by an interview-based investigation. This study investigates several factors of the risk analysis process, e.Risk analysis is important for safety-critical IT systems and services, both in public and private organizations. However, the actual practices and the challenges of risk analysis in these contexts have not been fully explored. This paper investigates the current practices of risk analysis by an interview-based investigation. This study investigates several factors of the risk analysis process, e.

Background: If individual differences are relevant and prominent features of personality, then they are expected to be encoded in natural language, thus manifesting themselves in single words. Recently, the quantification of text data using advanced natural language processing techniques offers innovative opportunities to map people’s own words and narratives to their responses to self-reports. He

PURPOSE: Pre-clinical studies have shown that ex vivo non-ischemic heart preservation (NIHP) method can be safely used for 24 hours. This state-of-the-art method has never been applied on humans. ໿໿The primary objective of the study was to evaluate the efficacy and safety of the NIHP method on early and late human heart allograft function compared with static cold storage (SCS). METHODS: We perfor

Microstructure imaging techniques based on tensor-valued diffusion encoding have gained popularity within the MRI research community. Unlike conventional diffusion encoding—applied along a single direction in each shot—tensor-valued encoding employs diffusion encoding along multiple directions within a single preparation of the signal. The