Therapeutic cancer vaccination seeks to elicit activation of tumor-reactive T cells capable of recognizing tumor-associated antigens (TAAs) and eradicating malignant cells. Here, we present a cancer vaccination approach utilizing myeloid lineage reprogramming to directly convert cancer cells into tumor reprogrammed-antigen presenting cells (TR-APCs). Using syngeneic murine leukemia models, we demo

Under snart tre decennier har omfattande insatser genomförts för att få mäns våld mot kvinnor att upphöra, utan synbar effekt. Våldet tenderar snarare att öka. Varför tycks mäns våld mot kvinnor vara ett olösligt samhällsproblem? I denna rapport undersöker vi hur mäns våld mot kvinnor har hanterats i svensk politik de senaste 25 åren. Med utgångspunkt i offentligt tryck granskar vi den politiska r

People that produce bad outcomes can thereby become the fitting targets of blame, the fitting intensity of which is determined by the badness of the outcomes. In the following paper, I suggest that the amount of blame instances that people are fitting targets of is also determined by the weight of the badness of the outcomes. I use the example of online blame as a paradigmatic case where the amoun

Transcript alterations often result from somatic changes in cancer genomes1. Various forms of RNA alterations have been described in cancer, including overexpression2, altered splicing3 and gene fusions4; however, it is difficult to attribute these to underlying genomic changes owing to heterogeneity among patients and tumour types, and the relatively small cohorts of patients for whom samples hav

The discovery of drivers of cancer has traditionally focused on protein-coding genes1-4. Here we present analyses of driver point mutations and structural variants in non-coding regions across 2,658 genomes from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium5 of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). For point mutations, we developed a st

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

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

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

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

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

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

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

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

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

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

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