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Role of quasiparticle structure in α decay of superheavy nuclei

We use the superfluid tunneling model (STM) to calculate the half-lives of α decays of odd-A and odd-odd superheavy nuclei (SHN) with Z≥100 and A≥250. The experimental data are reproduced to accuracies comparable to other contemporary models of the α decay of the SHN. We then apply the STM to examine the influence of the quasiparticle structure on the properties of the chains of α decays arising f

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Stille slag (Quiet Beats) is an interdisciplinary performance based on a newly composed choir piece by Louise Alenius with text and dramaturgy by Tanja Diers, directed by Tue Biering in a visual concept by Ida Grarup. On stage are seven classical singers and five former inmates. The former inmates are moving in repetitive patterns in a cell like environment surrounded and ghosted by the singers wh

Butler enables rapid cloud-based analysis of thousands of human genomes

We present Butler, a computational tool that facilitates large-scale genomic analyses on public and academic clouds. Butler includes innovative anomaly detection and self-healing functions that improve the efficiency of data processing and analysis by 43% compared with current approaches. Butler enabled processing of a 725-terabyte cancer genome dataset from the Pan-Cancer Analysis of Whole Genome

Pan-cancer analysis of whole genomes identifies driver rearrangements promoted by LINE-1 retrotransposition

About half of all cancers have somatic integrations of retrotransposons. Here, to characterize their role in oncogenesis, we analyzed the patterns and mechanisms of somatic retrotransposition in 2,954 cancer genomes from 38 histological cancer subtypes within the framework of the Pan-Cancer Analysis of Whole Genomes (PCAWG) project. We identified 19,166 somatically acquired retrotransposition even

Redefining Development: Different Times Call for Different Measures

This thesis examines the relationship between economic growth and sustainable wellbeing. It evaluates the ability of GDP per capita to capture a how efficiently a country delivers long, happy lives using the limited environmental resources available, as measured by the Happy Planet Index (HPI). The purpose of the study is to see if a measure such as the HPI would be more appropriate than GDP per c

Problems of Post-Communism: The Dis/Articulation of Anti-Gender Politics in Eastern Europe

This special issue examines anti-gender politics in the specific geographical and cultural space of Eastern Europe. It investigates whether the region is just another battlefield for anti-gender politics, or a unique setting for specific developments and strategies, looking at the impact and the legacy of specific historical experiences, sociological and cultural characteristics. The contributions

Quality assessment of private weather station Netatmo

Vädret. Många av oss har upplevt att väderprognosen, förutspåendes ”en fin dag på stranden”, har vart gravt missvisande, resulterandes med hagel innanför t-shirten och ett moloket humör som efterspel. Kanske även en illasinnad tanke till meteorologerna, som inte förutspådde den brutala stormen som dundrade in… Men, tänk om alla människor som har himlen i sitt blickfång kunde göra omedelbara mätnNetatmo is a brand of private weather stations that over the past decade, in many countries, have grown to outnumber the number of government based weather stations. In most fields of research, a high number of data points can increase accuracy and precision. For a weather forecast, the more weather condition throughout an area the forecasters know about, the better the forecast. All of Sweden is

The risky path to a followership identity: From abstract concept to situated reality

Followership research has increased recently, but little attention has been paid to the complexities and challenges of creating a followership identity. Researchers typically portray followership as a safe alternative to leadership identity, but we challenge this assumption by using naturally occurring workplace interactions to identify active contributions as well as risks associated with a follo

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Deformable object manipulation tasks have long been regarded as challenging robotic problems. However, until recently very little work has been done on the subject, with most robotic manipulation methods being developed for rigid objects. Deformable objects are more difficult to model and simulate, which has limited the use of model-free Reinforcement Learning (RL) strategies, due to their need fo

Monte Carlo Filtering Objectives

Learning generative models and inferring latent trajectories have shown to be challenging for time series due to the intractable marginal likelihoods of flexible generative models. It can be addressed by surrogate objectives for optimization. We propose Monte Carlo filtering objectives (MCFOs), a family of variational objectives for jointly learning parametric generative models and amortized adapt

ReForm: A Robot Learning Sandbox for Deformable Linear Object Manipulation

Recent advances in machine learning have triggered an enormous interest in using learning-based approaches for robot control and object manipulation. While the majority of existing algorithms are evaluated under the assumption that the involved bodies are rigid, a large number of practical applications contain deformable objects. In this work we focus on Deformable Linear Objects (DLOs) which can

Low temperature atomic hydrogen annealing of InGaAs MOSFETs

Recent work showing a strong quality improvement of the Si/SiO2 material system by low temperature atomic hydrogen annealing (AHA), and the fact that III-V semiconductors outperform Si in many applications makes the investigation of AHA on III-V/high-k interfaces to a very interesting topic. In this work, the potential of AHA as a low temperature annealing treatment of InGaAs metal-oxide-semicondu

Small angle neutron scattering studies on the internal structure of poly(lactide-co-glycolide)-block-poly(ethylene glycol) nanoparticles as drug delivery vehicles

Poly(lactide-co-glycolide)-block-poly(ethylene glycol) (PLGA-PEG) nanoparticles are commonly used as drug carriers in controlled drug release and targeting. To achieve predictable and clinically relevant volumes of drug distribution, nanoparticle size, surface charge, and especially composition and structure must be controlled. Understanding the internal structures within the particles is fundamen

Probing the impact of advanced melting and advanced adsorption phenomena on the accuracy of pore size distributions from cryoporometry and adsorption using NMR relaxometry and diffusometry

The accuracy of pore size distributions (PSD) obtained from gas adsorption and cryoporometry is compromised by the presence of advanced adsorption and advanced melting effects, respectively. In order to improve PSD accuracy, it is necessary to know the extent of such effects. In this work cryoporometry and adsorption have been combined to study the onset of advanced melting effects in a sample par

Prolonged opioid use after distal radius fracture

BACKGROUND: Prolonged opioid use (more than 90 days) after injury puts the patient at risk for adverse effects. We investigated the patterns of opioid prescription after distal radius fracture and the effect of pre- and post-fracture factors on the risk for prolonged use.METHODS: This register-based cohort study uses routinely collected health care data, including purchases of prescription opioids