Background: Medication discrepancies are common, potentially harmful and may result from poor medication information across medical records. Our aim was to describe current medication discrepancy rates, types and severity in hospital, primary and specialized outpatient care in Sweden, as well as comparing these with previous measurements. Methods: Participants visiting health care in Skåne in Nove

A bidirectional non-contact rotary motor using a piezoelectric torsional vibrator and the giant electrorheological (GER) fluid is described in this paper. By applying the dynamic electric signal with a square waveform to the GER fluid, which is in phase with the vibration velocity of the torsional vibrator, bidirectional rotation at an excitation frequency of 118 Hz is achieved. This motor generat

A measurement of dielectron production in proton-proton (pp) collisions at s=13 TeV, recorded with the ALICE detector at the CERN LHC, is presented in this Letter. The data set was recorded with a reduced magnetic solenoid field. This enables the investigation of a kinematic domain at low dielectron (ee) invariant mass mee and pair transverse momentum pT,ee that was previously inaccessible at the

The unfolding COVID-19 pandemic, and the unprecedented social and economic costs it has inflicted, provide an important opportunity to scrutinize the interplay between the resilience of small and medium-sized enterprises (SMEs) and the resilience of the communities they are embedded in. In this article, we articulate the specific ways that SMEs play a crucial, and underappreciated role in building

This article argues that the development of regional innovation concepts, drawing primarily on the experiences of advanced regions, has led to inadequate narratives about the experience of less-developed regions (LDRs). Drawing on the extensive experience of the authors doing research in LDRs, the article develops three main arguments: first it examines the limitations of endogenous approaches to

Kristillisessä saarnassa on alkukirkosta alkaen käytetty yhteisyyttä ja erillisyyttä ilmaisevia ja aiheuttavia tekniikoita. Tarkoituksenani on tarkastella, kuinka Nokia Mission johtajan Markku Koiviston herätyssaarnoissa ja niissä edeltävissä rukouksissa luodaan ytheisyyttä ja erillisyyttä. (Abstraktin ensimäinen virke.)

Weakly-hard models have been used to analyse real-time systems subject to patterns of deadline hits and misses. However, the tools that are available in the literature have a set of shortcomings. The analysis they offer is limited to a single weaklyhard constraint and to patterns that specify the number of misses, rather than the number of hits. Furthermore, the scalability of the tools is limited

The aim of this study was to explore whether social workers can become more explicit about their knowledge use if they are assisted in analyzing the rationales underlying their conclusions about diagnosis and treatment. By dissecting the rationales provided by 46 Swedish social work practitioners and students in response to two case vignettes describing vulnerable children and their families, and

To evaluate the possibility of obtaining detailed individual mobility data from archaeological teeth, the strontium isotope ratios on 28 human teeth from three separate Early-Mid Holocene, Swedish, foraging contexts (Norje Sunnansund, Skateholm and Västerbjers) were analysed through laser ablation. The teeth/individuals have previously been analysed using traditional bulk sampled thermal ionisatio

Research on democratic attitudes has recently turned to examine citizens’ views about the performance of specific democratic institutions in their country. Drawing on data from the European Social Survey (ESS6) and the Bright Line Watch Project (BLW) in the United States, this article argues that such evaluative questions carry high levels of cognitive complexity that lead to gender gaps in item r

Dealing with irregular domains, graph signal processing (GSP) has attracted much attention especially in brain imaging analysis. Motor imagery tasks are extensively utilized in brain-computer interface (BCI) systems that perform classification using features extracted from Electroencephalogram signals. In this paper, a GSP-based approach is presented for two-class motor imagery tasks classificatio