This is a review of the recent publication “Pharmaceutical Innovation, Competition and Patent Law – A Trilateral Perspective”, edited by Max Planck Director Josef Drexl and Finnish scholar Nari Lee (Edward Elgar 2013, 322 p., ISBN 978 0 85793 245 7). In summary, I conclude that the editors, who also contributed with excellent papers, have succeeded very well in the difficult task of structuring, s

OBJECTIVE: The objective was to examine the association between primary care consultations and a Care Need Index (CNI) used to compensate Swedish primary care practices for the extra workload associated with patients with low socioeconomic status.DESIGN: Observational study combining graphical analysis with linear regressions of cross-sectional administrative practice-level data.SETTING: Three Swe

This article combines perspectives from feminist agricultural economics and agrarian feminist Marxism to conceptualize the spatial process of translocality from a gender perspective arguing for the resurrection of the household as a unit of study in the context of translocality. Engendering the emerging field of translocal livelihoods research requires understanding the household both as a process

Under senare år har flera satsningar gjorts på forskarskolor för lärare, i syfte att bygga upp skolans kunskapsbas och öka antalet lärare i skolan med utbildning på forskarnivå.Den här bokens innehåll baseras på resultaten från den nationella forskarskolan för språklärare De främmande språkens didaktik (FRAM) som bedrevs med stöd från Vetenskapsrådet under perioden 2012-2015.Forskarskolan möjliggj

I denna text är fokus på Öresundsbron, en förbindelse över ett specifikt vatten som gett den sitt namn. Från att tidigare ha varit en trafikled för båtar blev det med förbindelsen, som även inkluderar en tunnel, möjligt att färdas mellan Danmark och Sverige med bil eller tåg. Jag vill förstå den ambivalens inför bron som framträder när den av skilda anledningar inte är farbar. Centralt är de stark

Mathematical modelling is an invaluable tool to describe dynamic cellular processes and to rationalise cell-to-cell variability within the population. This requires statistical methods to infer unknown model parameters from dynamic, multi-individual data accounting for heterogeneity caused by both intrinsic and extrinsic noise. Here we present PEPSDI, a scalable and flexible framework for Bayesian

This doctoral thesis in computational statistics utilizes both Monte Carlo methods(approximate Bayesian computation and sequential Monte Carlo) and machine­-learning methods (deep learning and normalizing flows) to develop novel algorithms for infer­ence in implicit Bayesian models. Implicit models are those for which calculating the likelihood function is very challenging (and often impossible),

Study region: Sixty-four river gauging stations distributed over Sweden. Study focus: To investigate the influence of climate teleconnection patterns (TP) on streamflow in Sweden. Streamflow data is regionalized and the average hydrographs of each homogeneous region is divided into hydrological seasons. Thereafter the impact of different TPs on the streamflow, per homogeneous region and per hydrol

Nanowires require surface passivation due to their inherent large surface to volume ratio. We investigate the effect of embedding InP nanowires in different oxides with respect to surface passivation by use of electron beam induced current measurements enabled by a nanoprobe based system inside a scanning electron microscope. The measurements reveal remote doping due to fixed charge carriers in th

Recent advances in proteomic technologies have made high throughput profiling of low abundance proteins in large epidemiological cohorts increasingly feasible. We investigated whether aptamer-based proteomic profiling could identify biomarkers associated with future development of type 2 diabetes (T2DM) beyond known risk factors. We identified dozens of markers with highly significant associations

Background: The incidence of cutaneous malignant melanoma (CMM) is increasing worldwide. In Sweden, over 4600 cases were diagnosed in 2018. The prognosis after radical surgery varies considerably with tumor stage. In recent years, new treatment options have become available for metastatic CMM. Early onset of treatment seems to improve outcome, which suggests that early detection of recurrent disea

Det antika Athen hade sin första blomstringstid under 400- och 300-talen f.Kr. Det hade då en ledande ställning i den grekiska världen, och från den tiden härstammar mycket av det som väckt senare tiders beundran – klassisk skulptur, arkitektoniska mästerverk som Parthenon, dramerna som fortfarande spelas på våra teatrar, Sokrates, Platons och Aristoteles landvinningar inom tankens värld. Detta är

By Marcelo Corrales Compagnucci, Janos Meszaros & Timo Minssen Empirical studies in behavioral economics have demonstrated how people are biased and often make poor decisions against their best interests. This has led policy makers to promote choice-preserving approaches, a.k.a. nudges. However, there has also been an increasingly vocal group of legal scholars who are interest in asking whethe

Deep learning (DL) is the state-of-the-art methodology in various medical image segmentation tasks. However, it requires relatively large amounts of manually labeled training data, which may be infeasible to generate in some applications. In addition, DL methods have relatively poor generalizability to out-of-sample data. Multi-atlas segmentation (MAS), on the other hand, has promising performance

BACKGROUND: Ethiopia has had mechanisms for TB/HIV collaborative activities since 2002. However, no published account has defined the role of these collaborative efforts in strengthening linkages between HIV and TB management units at the point-of-care level. Our objective was to assess the extent of linkages between the two programs at the patient management level at Zewditu Memorial Hospital in

Prior results on target localization and circumnavigation with bearing measurements in $\mathbb {R}^{2}$ are extended with integral action, resulting in a control system that is robust to bounded load disturbances on the control inputs. Such disturbances may arise in practice due to modeling errors and need to be considered to ensure small tracking errors. The control inputs are modeled as the sys