71 research outputs found

    Asuntojen, varastojen ja muiden sisÀtilojen tuhoelÀimet

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    vKirjasto Aj-

    Independent component approach to the analysis of EEG and MEG recordings

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    Multichannel recordings of the electromagnetic fields emerging from neural currents in the brain generate large amounts of data. Suitable feature extraction methods are, therefore, useful to facilitate the representation and interpretation of the data. Recently developed independent component analysis (ICA) has been shown to be an efficient tool for artifact identification and extraction from electroencephalographic (EEG) and magnetoen- cephalographic (MEG) recordings. In addition, ICA has been ap- plied to the analysis of brain signals evoked by sensory stimuli. This paper reviews our recent results in this field

    Ultra-High Field MRI: Transition to Human 7 T in Finland - Workshop Memorandum

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    A workshop “Ultra-High Field MRI: Transition to Human 7 T in Finland” was organized at Aalto University on October 8–9, 2015. The organizers included Aalto University School of Science, Finnish Infrastructures for Functional Imaging (FIFI), Aalto NeuroImaging (ANI), Aalto Brain Centre (ABC), and Department of Neuroscience and Biomedical Engineering (NBE). The purpose of the workshop was to demonstrate scientific achievements and possibilities enabled by ultra-high field (UHF) magnetic resonance imaging (MRI). The meeting brought together a group of top-level scientists for two days to give presentations and immerse in discussions. This memorandum not only documents the meeting but also paves the way for making the first human 7 T scanner operational in Finland in the near future

    Outline of a fault diagnosis system for a large-scale board machine

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    Global competition forces process industries to continuously optimize plant operation. One of the latest trends for efficiency and plant availability improvement is to set up fault diagnosis and maintenance systems for online industrial use. This paper presents a methodology for developing industrial fault detection and diagnosis (FDD) systems. Since model or data-based diagnosis of all components cannot be achieved online on a large-scale basis, the focus must be narrowed down to the most likely faulty components responsible for abnormal process behavior. One of the key elements here is fault analysis. The paper describes and briefly discusses also other development phases, process decomposition, and the selection of FDD methods. The paper ends with an FDD case study of a large-scale industrial board machine including a description of the fault analysis and FDD algorithms for the resulting focus areas. Finally, the testing and validation results are presented and discussed.Peer reviewe

    GUNS UNDER FIRE: Initial results of the 2005 firearms amnesty

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    On 1 January 2005 government launched the largest ever firearms amnesty. By 31 March 50,233 firearms had been surrendered. Due to public demand, the amnesty was extended to 30 June. This article assesses the impact of the first three months of the amnesty. Although media coverage focused on the illegal weapons handed in, the nearly 28,000 licensed guns surrendered represent just over one year’s supply of lost guns that will now not enter the illegal market. And considering the widespread use of handguns in violent crime, the removal of over 43,000 handguns from circulation represents a substantial victory

    Ideasta kokeiluihin – Loppuraportti perustulokokeilun toteuttamisvaihtoehdoista

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    PÀÀministeri Juha SipilÀn hallitusohjelmaan on kirjattu perustulokokeilun toteuttaminen. Perustulokokeilulla selvitetÀÀn, miten sosiaaliturvaa voitaisiin uudistaa paremmin vastaamaan työelÀmÀn muutoksia, muuttaa sosiaaliturvaa työhön kannustavaksi, vÀhentÀÀ byrokratiaa ja yksinkertaistaa monimutkaista etuusjÀrjestelmÀÀ, joka usein luo erilaisia tulo-, kannustin- ja byrokratialoukkuja. Kokeilun toimeenpanoa varten Valtioneuvoston kanslia tilasi selvityksen perustulon toteuttamisvaihtoehdoista. Hankkeen esiselvitys on luovutettu 30.3.2016, ja siinÀ pohdittiin esimerkiksi nk. puhtaan perustulon, osittaisen perustulon, negatiivisen tuloveron ja muiden mahdollisten mallien soveltuvuutta kokeiluun. Osin esiselvityksen pohjalta hallitus antoi esityksen laiksi perustulokokeilusta (HE 215/2016 vp). KÀsillÀ olevassa loppuraportissa pohditaan perustulon jatkokokeiluiden edellytyksiÀ. Perustulon erilaisten vaikutusten selvittÀmiseksi ehdotetaan kokeiluiden sarjaa, jossa erilaisia perustulomalleja ja niihin liitettyjÀ erilaisia veromalleja kokeiltaisiin iteratiivisesti. Seuraavana askeleena vuonna 2017 alkavaa kokeilua voitaisiin tÀydentÀÀ vuonna 2018 alkavalla kokeilulla, jossa kokeilun kohdevÀestöÀ laajennettaisiin työttömien lisÀksi pienituloisiin ja samalla kokeilun otoskokoa kasvatettaisiin tuntuvasti tilastollisesti merkitsevien tulosten varmistamiseksi. Kansallisen tulorekisterin valmistumisen jÀlkeen kokeiluun voitaisiin ottaa myös negatiivisen tuloveron kaltaisia malleja

    Cross-trait analyses with migraine reveal widespread pleiotropy and suggest a vascular component to migraine headache

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    Background: Nearly a fifth of the world's population suffer from migraine headache, yet risk factors for this disease are poorly characterized. Methods: To further elucidate these factors, we conducted a genetic correlation analysis using cross-trait linkage disequilibrium (LD) score regression between migraine headache and 47 traits from the UK Biobank. We then tested for possible causality between these phenotypes and migraine, using Mendelian randomization. In addition, we attempted replication of our findings in an independent genome-wide association study (GWAS) when available. Results: We report multiple phenotypes with genetic correlation (P < 1.06 × 10-3) with migraine, including heart disease, type 2 diabetes, lipid levels, blood pressure, autoimmune and psychiatric phenotypes. In particular, we find evidence that blood pressure directly contributes to migraine and explains a previously suggested causal relationship between calcium and migraine. Conclusions: This is the largest genetic correlation analysis of migraine headache to date, both in terms of migraine GWAS sample size and the number of phenotypes tested. We find that migraine has a shared genetic basis with a large number of traits, indicating pervasive pleiotropy at migraine-associated loci.Peer reviewe
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