Sökresultat

Machine learning is a powerful technique, becoming increasingly popular in astrophysics. In this paper, we apply machine learning to more than a thousand globular cluster (GC) models simulated with the mocca-Survey Database I project in order to correlate present-day observable properties with the presence of a subsystem of stellar mass black holes (BHs). The machine learning model is then applied

We consider Bayesian inference for stochastic differential equation mixed effectsmodels (SDEMEMs) exemplifying tumour response to treatment and regrowth in mice. We produce an extensive study on how an SDEMEM can be fitted by using both exact inference based on pseudo-marginal Markov chain Monte Carlo sampling and approximate inference via Bayesian synthetic likelihood (BSL). We investigate a two-

Rheumatologists and general practitioners as a rule do not examine the nails when giant cell arteritis (GCA) is suspected, and may thus miss a simple yet valuable clinical sign. Splinter hemorrhage (SH) is a non-specific but significant clinical finding that can be seen in a wide range of conditions and by different medical specialists, among others: rheumatologists, infectious diseases specialist

When the Soviet Union invaded Hungary in 1956, a wave of streetlevel anti-communist protests swept overWestern Europe. These often violent protest were directed against Soviet embassies, domestic communist parties and communistnewspapers. The wave also reached Scandinavia, where the 1950’s otherwise is considered a calm and peaceful period. In Denmark and Sweden, a number of antiSoviet and anti-co

The aim of the present study is to examine and describe Swedish upper secondary students’ use of their background languages while translating a text from Italian, a language unknown to them, into either their L2 English or their L3 French or Spanish. The assumption here is that searching for similarities between these languages is a natural feature of language learning and that intercomprehension

Grundbok om kvalitativa och kvantitativa forskningsmetoder inom företagsekonomi och annan samhällsvetenskap.

Accurate histological classification and identification of fusion genes represent two cornerstones of clinical diagnostics in non-small cell lung cancer (NSCLC). Here, we present a NanoString gene expression platform and a novel platform-independent, single sample predictor (SSP) of NSCLC histology for combined, simultaneous, histological classification and fusion gene detection in minimal formali

Intern kommunikation är ett område som oftast har negligerats bland såväl forskare som praktiker. Merparten av forskningen och praktiken inom kriskommunikation har fokuserats på extern kommunikation vilket kan förklaras med att de flesta forskare inom fältet har sin bakgrund inom public relations och att den externa kommunikationen många gånger är mer tydlig för praktikerna. Men att intern kriskom

Metastatic melanoma is one of the most common deadly cancers, and robust biomarkers are still needed, e.g. to predict survival and treatment efficiency. Here, protein expression analysis of one hundred eleven melanoma lymph node metastases using high resolution mass spectrometry is coupled with in-depth histopathology analysis, clinical data and genomics profiles. This broad view of protein expres

Climate change has made urban decarbonisation a global imperative. Cities are both a source of emissions and a leverage-point for the necessary transformation processes. Iceland is blessed with an ample supply of renewable energy sources. Hydropower and geothermal are widespread in the country and they dominate the country’s electricity and district heating systems. Despite this huge potential, pe

Addressing global sustainability challenges associated with natural resource security and climate change requires new perspective on waste and resource management. Sustainability-driven business model innovations have a crucial role in transforming current, unsustainable, production and consumption patterns by slowing product replacement and closing material cycles. This study identifies best prac

To highlight the thermal management of the cooling system in an advanced engine, the flow and heat transfer characteristics of turbulent hydrocarbon fuel flow in a rectangular channel are numerically explored in detail. The severe condition of deteriorated behavior is investigated in the heat transfer process. Considering buoyancy force effects, a three-dimensional numerical model is established a

Relocating Beijing's manufacturing industry, a key measure in the strategy for decentralizing Beijing's non-capital functions, may inadvertently increase environmental pressures in the receiving cities. This study develops a quantitative method to comprehensively identify the environmental effects caused by regional industrial relocations. First, a set of relocated industries is selected by consid

Presents theory, algorithms and validation results for system identification of continuous-time state-space models from finite input-output sample sequences. The algorithms developed are methods of subspace model identification and stochastic realization adapted to the continuous-time context. The resulting model can be decomposed into an input-output model and a stochastic innovations model. Usin