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Economies in Transition (EiTs) exemplified by countries such as Poland, Ukraine, Belarus, Moldova etc. face many socio-economic and environmental challenges – energy security, high unemployment, poor transportation and municipal service infrastructure, and rural depopulation are common themes. Agricultural biofuel production offers a number of socio-economic co-benefits that can contribute to the
We present a FrameNet-based semantic role labeling system for Swedish text. As training data for the system, we used an annotated corpus that we produced by transferring FrameNet annotation from the English side to the Swedish side in a parallel corpus. In addition, we describe two frame element bracketing algorithms that are suitable when no robust constituent parsers are available. We evaluated
UNLABELLED: Persistent CB1 cannabinoid receptor activity limits neurotransmitter release at various synapses throughout the brain. However, it is not fully understood how constitutively active CB1 receptors, tonic endocannabinoid signaling, and its regulation by multiple serine hydrolases contribute to the synapse-specific calibration of neurotransmitter release probability. To address this questi
Preclinical studies suggest that stem cell therapy (SCT) may improve sensorimotor recovery after stroke. Upper extremity motor impairment (UEMI) is common after stroke, often entailing substantial disability. To evaluate the feasibility of post-stroke UEMI as a target for SCT, we examined a selected sample of stroke patients potentially suitable for SCT, aiming to assess the frequency and recovery
Many psychiatric illnesses are associated with early mortality and with an increased risk of developing physical diseases that are more typically seen in the elderly. Moreover, certain psychiatric illnesses may be associated with accelerated cellular aging, evidenced by shortened leukocyte telomere length (LTL), which could underlie this association. Shortened LTL reflects a cell's mitotic history
Recent research has identified the grasslands of the Sahel as a potential carbon sink, but regional carbon stock accounting in such biomes is undermined by the poorly recognized role they play in the carbon cycle as well as lack of data. In this paper, we demonstrate the feasibility of coupling the satellite data-driven light use efficiency model (Lund University Light Use Efficiency Model - LULUE
The overall aim of this thesis is to develop knowledge of teaching and learning sustainable development in global–local contexts. The research field is global learning for sustainable development (GLSD). Phenomenographic approach and contextual analysis were used as methods of analysis, and data was collected by Semi-structured interviews at secondary and upper secondary schools in Sweden.In Study
This paper draws upon an extensive transdisciplinary scenario development in the context of the stakeholder oriented preparation of the climate protection plan of the German federal state North Rhine-Westphalia, which is home to the most important heavy industry cluster in Europe. In that context we developed differentiated bottom up climate change mitigation strategies and scenarios for the major
Nodding syndrome is an emerging disease which have unknown transmission patterns and no properly established mechanisms for diagnosis leading to numerous hypothetical postulations. It has affected thousands of children in Uganda with debilitating effect and serious economic consequences. Spatial-temporal analysis may provide a quick mechanism to establish comparative understanding of the various h
Dark matter direct detection experiments need to know the local phase space density of dark matter fdm(r,v,t) in order to derive dark matter particle properties. To date, calculations for fdm(r,v,t) have been based on simulations that model the dark matter alone. Here we include the influence of the baryonic matter. We find that a star/gas disc at high redshift (z∼1) causes merging satellites to b
We present a new experimental method that measures the compressibility of phenotype-specific cell populations. This is done by performing statistical analysis of the cell counts from the outlets of an acoustophoresis chip as a function of the increasing actuator voltage (i.e. acoustic energy density) during acoustophoretic separation. The theoretical separation performance curve, henceforth, Side-
Smart cameras are increasingly used in surveillance solutions in public spaces. Contemporary computer vision applications can be used to recognize events that require intervention by emergency services. Smart cameras can be mounted in locations where citizens feel particularly unsafe, e.g., pathways and underpasses with a history of incidents. One promising approach for smart cameras is edge AI, i
Aims/hypothesis: Preterm birth (gestational age <37 weeks) has been associated with insulin resistance early in life. However, no large population-based studies have examined risks of type 1 and type 2 diabetes and potential sex-specific differences from childhood into adulthood. Clinicians will increasingly encounter adults who were born prematurely and will need to understand their long-term ris
Objective: Epidemiological studies have found air pollution to be a driver of adverse pregnancy outcomes, including gestational diabetes, low term birth weight and preeclampsia. It is unknown what biological mechanisms are involved in this process. A first trimester trophoblast cell line (HTR-8/SVneo) was exposed to various concentrations of PM2.5 (PM2.5) in order to elucidate the effect of urban
Research on human emotions towards large carnivores is often based on self-reported emotions. This study aimed to investigate physiological and behavioral responses to feared animals among people who say that they are fearful or not fearful of brown bear and wolf. Participants were recruited to be bear fearful only (n=8), fearful of both bear and wolves (n=15), or fearful of neither carnivore (n=1
As our society becomes more and more dependent on IT systems, failures of these systems can harm more and more people and organizations both public and private. Diligently performing risk and hazard analysis helps to minimize the societal harms of IT system failures. In this paper we present experiences gained by applying the System Theoretic Process Analysis (STPA) method for hazard analysis on a
