Rapid characterization of emulsions by pulsed field gradient nuclear magnetic resonance

A method for rapid characterization of emulsions is presented. From the proposed setup we are able to measure the droplet size distribution of brine or water droplets confined by an oil phase, even though there is complete overlap in relaxation times and/or molecular mobility between the water and the oil phases. A PFG-NMR sequence is presented that applies the spoiler recovery method for significant reduction in acquisition time, and the method is used for rapid characterization of emulsions

Annotation of subtitle paraphrases using a new web tool

This paper analyzes the manual annotation effort carried out to produce Opusparcus, the Open Subtitles Paraphrase Corpus for six European languages. Within the scope of the project, a new web-based annotation tool was created. We discuss the design choices behind the tool as well as the setup of the annotation task. We also evaluate the annotations obtained. Two independent annotators needed to decide to what extent two sentences approximately meant the same thing. The sentences originate from subtitles from movies and TV shows, which constitutes an interesting genre of mostly colloquial language. Inter-annotator agreement was found to be on par with a well-known previous paraphrase resource from the news domain, the Microsoft Research Paraphrase Corpus (MSRPC). Our annotation tool is open source. The tool can be used for closed projects with restricted access and controlled user authentification as well as open crowdsourced projects, in which anyone can participate and user identification takes place based on IP addresses.Peer reviewe

Paraphrase Detection on Noisy Subtitles in Six Languages

We perform automatic paraphrase detection on subtitle data from the Opusparcus corpus comprising six European languages: German, English, Finnish, French, Russian, and Swedish. We train two types of supervised sentence embedding models: a word-averaging (WA) model and a gated recurrent averaging network (GRAN) model. We find out that GRAN outperforms WA and is more robust to noisy training data. Better results are obtained with more and noisier data than less and cleaner data. Additionally, we experiment on other datasets, without reaching the same level of performance, because of domain mismatch between training and test data.Peer reviewe

A spoiler recovery method for rapid diffusion measurements

A method for rapid acquisition of multiple scans of NMR sequences is presented. The method initially applies two RF-pulses in combination with two magnetic field gradient pulses of opposite polarity, different strength and different duration. The basic idea is to spoil any magnetization in any direction before by letting the system recover to some degree of restoration of the thermal equilibrium magnetization. Thereafter any pulse sequence can be applied, and the next scan may be run immediately after the end of the pulse sequence. Thus one avoids the 5 times T1 delay between each scan. A set of PFG sequences are presented that apply the spoiler recovery method for significant reduction in acquisition time, and the method has been verified at 0.5 Tesla as well as at 11.7 Tesla

Изучение байесовского подхода к анализу медико-биологических данных в курсе медицинской и биологической физики

Background: The clinical behaviour of colon cancer is heterogeneous. Five-year overall survival is 50-65% with all stages included. Recurring somatic chromosomal alterations have been identified and some have shown potential as markers for dissemination of the tumour, which is responsible for most colon cancer deaths. We investigated 115 selected stage II-IV primary colon cancers for associations between chromosomal alterations and tumour dissemination. Methods: Follow-up was at least 5 years for stage II-III patients without distant recurrence. Affymetrix SNP 6.0 microarrays and allele-specific copy number analysis were used to identify chromosomal alterations. Fisher's exact test was used to associate alterations with tumour dissemination, detected at diagnosis (stage IV) or later as recurrent disease (stage II-III). Results: Loss of 1p36.11-21 was associated with tumour dissemination in microsatellite stable tumours of stage II-IV (odds ratio = 5.5). It was enriched to a similar extent in tumours with distant recurrence within stage II and stage III subgroups, and may therefore be used as a prognostic marker at diagnosis. Loss of 1p36.11-21 relative to average copy number of the genome showed similar prognostic value compared to absolute loss of copies. Therefore, the use of relative loss as a prognostic marker would benefit more patients by applying also to hyperploid cancer genomes. The association with tumour dissemination was supported by independent data from the The Cancer Genome Atlas. Conclusion: Deletions on 1p36 may be used to guide adjuvant treatment decisions in microsatellite stable colon cancer of stages II and III

Inducing institutional change through projects? : Three models of projectified governance

The study of short-term projects to implement policy has lately gained ground among scholars of environmental governance and public administration. The increasing reliance on and prevalence of projects, or ‘projectification’, has spurred critical debates on the ability of projects to contribute to long-term goals, including sustainability, as well as institutional change. Yet, the literature on projectification lacks specificity in terms of how projects are understood, how the relationship between projects and permanent organizations looks like, and how projects can influence institutional orders. The aim of this paper is to systematize the literature in order to uncover the process of transforming project outputs into institutional change. Three models of projectified governance – mechanistic, organic, and adaptive – is presented, providing a conceptual apparatus that advances the study of projects in environmental policy and governance. The paper argues that the adaptive model, with its reliance on multi-scalar networks for the coordination of project activities and knowledge, shows most promise in achieving institutional change to address complex environmental problems.Peer reviewe

Modifiering av lärandeprocessen bakom algoritmen Expert Iteration

This thesis sets out to improve the performance of the Expert Iteration (EXIT) algorithm a simulation-based learning process to train an AI. EXIT and four different modifications are implemented and evaluated through a tournament of the board game Hex. The results suggest that the training pipeline of EXIT could be significantly simplified without a loss of performance.Föreliggande examensarbete ämnar förbättra algorithmen Expert Iteration (EXIT) en simulationsbaserad lärandeprocess för att träna en AI. EXIT samt fyra olika modifikationer implementeras och evalueras genom en turnering i brädspelet Hex. Resultaten antyder att EXIT:s träningsförfarande kan förenklas signifikant utan prestandaförsämring