Hybridi PET/TT-kuvantamisen pitkäaikaisennusten kehittäminen koneoppimista hyödyntäen

Sepelvaltimotaudin riskin arvion parantaminen koneoppimista hyväksi käyttäen. Sydämen hybridi PET/TT kuvantamisella saadun datan analysointi LogitBoost menetelmällä

First encounters in the north : cultural diversity and gene flow in Early Mesolithic Scandinavia

Population genetic studies often overlook the evidence for variability and change in past material culture. Here, the authors use a Mesolithic example to demonstrate the importance of integrating archaeological evidence into the interpretation of the Scandinavian hunter-gatherer genetic group. Genetic studies conclude that this group resulted from two singleevent dispersals into Scandinavia before 7500 BC. Archaeological evidence, however, shows at least six immigration events pre-dating the earliest DNA, and that the first incoming groups arrived in Scandinavia before 9000 BC. The findings underline the importance of conducting careful archaeological analysis of prehistoric human dispersal in tandem with the study of ancient population genomics.Population genetic studies often overlook the evidence for variability and change in past material culture. Here, the authors use a Mesolithic example to demonstrate the importance of integrating archaeological evidence into the interpretation of the Scandinavian hunter-gatherer genetic group. Genetic studies conclude that this group resulted from two single-event dispersals into Scandinavia before 7500 BC. Archaeological evidence, however, shows at least six immigration events pre-dating the earliest DNA, and that the first incoming groups arrived in Scandinavia before 9000 BC. The findings underline the importance of conducting careful archaeological analysis of prehistoric human dispersal in tandem with the study of ancient population genomics.Peer reviewe

Chertbruddet i Melsvik. Undersøkelse av chertbrudd, utvinningsteknologi og bosetningsspor fra tidlig eldre steinalder i Melsvik, Alta k., Finnmark f.

I 2012-2013 ble et chertbrudd fra steinalderen undersøkt utenfor Alta i Finnmark. Undersøkelsen omfattet 1000 m2 av steinbruddet, og 3500 m2 av bosetingsområdene som lå like ved. I tillegg til utgravning ble det gjort eksperimenter med utvinning av chert i bruddet. Resultatene viser at bruddet ble brukt allerede 8400 f.Kr., og at fyrsetting var den viktigste metoden for å bryte chert fra berget. Utvinningsvirksomheten resulterte i enorme mengde med avfall, over et stort område. Vi tolker materialet til å gjenspeile mange kortvarige besøk av mindre grupper, som trolig fant sted i sommerhalvåret. Oppholdene var sterkt fokusert mot utvinning og bearbeiding av chert, og det er få spor etter andre gjøremål. Den mest intensive utvinning var i tidsrommet 8500/8400-8000 f.Kr., men også rundt 5000 f.Kr. ble chert igjen hentet fra berget her

Differential regulation of undecylprodigiosin biosynthesis in the yeast-scavenging Streptomyces strain MBK6

Streptomyces are efficient chemists with a capacity to generate diverse and potent chemical scaffolds. The secondary metabolism of these soil-dwelling prokaryotes is stimulated upon interaction with other microbes in their complex ecosystem. We observed such an interaction when a Streptomyces isolate was cultivated in a media supplemented with dead yeast cells. Whole-genome analysis revealed that Streptomyces sp. MBK6 harbors the red cluster that is cryptic under normal environmental conditions. An interactive culture of MBK6 with dead yeast triggered the production of the red pigments metacycloprodigiosin and undecylprodigiosin. Streptomyces sp. MBK6 scavenges dead-yeast cells and preferentially grows in aggregates of sequestered yeasts within its mycelial network. We identified that the activation depends on the cluster-situated regulator, mbkZ, which may act as a cross-regulator. Cloning of this master regulator mbkZ in S. coelicolor with a constitutive promoter and promoter-deprived conditions generated different production levels of the red pigments. These surprising results were further validated by DNA-protein binding assays. The presence of the red cluster in Streptomyces sp. MBK6 provides a vivid example of horizontal gene transfer of an entire metabolic pathway followed by differential adaptation to a new environment through mutations in the receiver domain of the key regulatory protein MbkZ

Artificial Intelligence to Improve Risk Prediction with Nuclear Cardiac Studies

Purpose of ReviewAs machine learning-based artificial intelligence (AI) continues to revolutionize the way in which we analyze data, the field of nuclear cardiology provides fertile ground for the implementation of these complex analytics. This review summarizes and discusses the principles regarding nuclear cardiology techniques and AI, and the current evidence regarding its performance and contribution to the improvement of risk prediction in cardiovascular disease.Recent Findings and SummaryThere is a growing body of evidence on the experimentation with and implementation of machine learning-based AI on nuclear cardiology studies both concerning SPECT and PET technology for the improvement of risk-of-disease (classification of disease) and risk-of-events (prediction of adverse events) estimations. These publications still report objective divergence in methods either utilizing statistical machine learning approaches or deep learning with varying architectures, dataset sizes, and performance. Recent efforts have been placed into bringing standardization and quality to the experimentation and application of machine learning-based AI in cardiovascular imaging to generate standards in data harmonization and analysis through AI. Machine learning-based AI offers the possibility to improve risk evaluation in cardiovascular disease through its implementation on cardiac nuclear studies.</p

Shared socioeconomic pathways for climate change research in Finland : co-developing extended SSP narratives for agriculture

Shared socioeconomic pathways (SSPs), developed at global scale, comprise narrative descriptions and quantifications of future world developments that are intended for climate change scenario analysis. However, their extension to national and regional scales can be challenging. Here, we present SSP narratives co-developed with stakeholders for the agriculture and food sector in Finland. These are derived from intensive discussions at a workshop attended by approximately 39 participants offering a range of sectoral perspectives. Using general background descriptions of the SSPs for Europe, facilitated discussions were held in parallel for each of four SSPs reflecting very different contexts for the development of the sector up to 2050 and beyond. Discussions focused on five themes from the perspectives of consumers, producers and policy-makers, included a joint final session and allowed for post-workshop feedback. Results reflect careful sector-based, national-level interpretations of the global SSPs from which we have constructed consensus narratives. Our results also show important critical remarks and minority viewpoints. Interesting features of the Finnish narratives compared to the global SSP narratives include greater emphasis on environmental quality; significant land abandonment in SSPs with reduced livestock production and increased plant-based diets; continued need for some farm subsidies across all SSPs and opportunities for diversifying domestic production under scenarios of restricted trade. Our results can contribute to the development of more detailed national long-term scenarios for food and agriculture that are both relevant for local stakeholders and researchers as well as being consistent with global scenarios being applied internationally

Diffusion tensor imaging is associated with motor outcomes of very preterm born children at 11 years of age

Aim Very preterm children born Methods A cohort of 37 very preterm infants (mean gestational age 29 4/7, SD 2 0/7) born in 2004-2006 in Turku University Hospital underwent diffusion tensor imaging at term. A region of interest analysis of fractional anisotropy and mean diffusivity was performed. Motor outcomes at 11 years of age were measured with the Movement Assessment Battery for Children - Second Edition. Results The diffusion metrics of the corpus callosum (genu P = .005, splenium P = .049), the left corona radiata (P = .035) and the right optic radiation (P = .017) were related to later motor performance. Mean diffusivity decreased and fractional anisotropy increased in proportion to the improving performance. Conclusion The diffusion metrics of the genu and splenium of the corpus callosum, the left corona radiata and the right optic radiation at term were associated with motor skills at 11 years of age. Diffusion tensor imaging should be further studied as a potential tool in recognising children at risk for motor impairment.</div

IEC 61499 standardin hyödyntäminen metsäteollisuuden tuotatoprosessien ohjelmoinnissa

Perinteisesti automaatiojärjestelmät ovat olleet suljettuja toimittajakohtaisia järjestelmiä mutta tulevaisuus tuo tullessaan avoimempia ratkaisuja jotka perustuvat standardeihin. IEC 61499 toimilohkostandardi tarjoaa uusia mahdollisuuksia kehittää avoimia ratkaisuja jotka perustuvat hajautettuihin järjestelmiin. Tämän diplomityön tarkoitus on tutustua standardin tarjoamiin mahdollisuuksiin kehittää itsenäisiä toimintatapoja automaatiojärjestelmien toteuttamisessa sekä käyttää standardia hyväksi sellutehtaan aliprosessin säätösovelluksen suunnittelussa. Laaja kirjallisuustutkimus toimi pohjana keskusteluille automaatiojärjestelmätoimittajien kanssa. Toteutettiin myös case muotoinen tutkimus jossa suunniteltiin säätösovellus olemassa olevaan prosessiin käyttäen hyväkseen IEC 61499 standardia. Automaatiojärjestelmätoimittajien edustajilla suhtautuivat kaksijakoisesti IEC 61499 standardiin mutta case tutkimus osoitti että standardia voidaan soveltaa todellisissa säätösovelluksissa

Machine Learning for Rapid Image Classification

In this thesis project techniques for training a rapid image classifier that can recognize an object of a predefined type has been studied. Classifiers have been trained with the AdaBoost algorithm, with and without the use of Viola-Jones cascades. The use of Weight trimming in the classifier training has been evaluated and resulted in a significant speed up of the training, as well as improving the performance of the trained classifier. Different preprocessings of the images have also been tested, but resulted for the most part in worse performance for the classifiers when used individually. Several rectangle shaped Haar-like features including novel versions have been evaluated and the magnitude versions proved to be best at separating the image classes