The University of Oulu is one of the largest universities in Finland, located in the city of Oulu. It was founded on July 8, 1958. The university has around 16,000 students and 3,000 staff. Along with the University of Turku, it is ranked in the Academic Ranking of World Universities as the second best university in Finland and between 303 and 401 worldwide. Wikipedia.
University of Oulu | Date: 2015-07-21
The present invention relates to medicaments based on oligomeric forms of 3-hydroxybutyrate, particularly 3-hydroxybutyrate methyl ester dimer (1) and trimer (2), especially for use in treating, preventing and/or inhibiting development of a disorder or condition related to oxidative stress. The present invention relates also to the use of these molecules as antioxidants, and to a method for increasing proliferation and viability of plant cells in the aid of molecules 1 and 2.
University of Oulu | Date: 2017-04-05
Method, apparatus and computer program for sensing viscoelasticity within a fluid or gel-based material sample. External magnetic field is created around the material sample wells, and each well comprises a rod-shaped sensor submerged in the material. The magnetic driving force ends up rotating the sensor in an oscillating manner, and the sensor angle changes are observed using a magnetic field. Besides using the camera, the tracking may be done by simultaneous observation and actuation of the sensor using overlapping magnetic fields. The resulting sensor angle data can be analyzed in a PC, and the angular or slope data of the sensor reveals possible underdamped oscillations through noncontinuous derivatives in the angle data. When underdamped oscillations are found, the fluidic material surrounding the sensors incorporates a viscoelastic property. Viscoelastic sensing is useful in e.g. biofilm monitoring for several medical applications, and in food and forest industries.
University of Oulu | Date: 2015-09-16
An enhanced method for indexing and retrieval of digital media entities is presented. Furthermore the method utilizes descriptive search queries and augmented digital media models for searching the digital media entities.
University of Oulu | Date: 2017-06-14
The present invention relates to medicaments based on oligomeric forms of 3- hydroxybutyrate, particularly 3-hydroxybutyrate methyl ester dimer (1) and trimer (2), especially for use in treating, preventing and/or inhibiting development of a disorder or condition related to oxidative stress. The present invention relates also to the use of these molecules as antioxidants, and to a method for increasing proliferation and viability of plant cells in the aid of molecules 1and 2.
Agency: European Commission | Branch: H2020 | Program: MSCA-ITN-ETN | Phase: MSCA-ITN-2016 | Award Amount: 3.61M | Year: 2017
Though Big Data has become common in many domains nowadays, the challenges to develop efficient and automated mining of the ever increasing data sets by new generations of data scientists are eminent. These challenges span wide swathes of society, business and research. Astronomers with their high-tech observatories are historically at the forefront of this field, but obviously, the impact in e.g. commercial applications, security, environmental monitoring and experimental research is immense. We aim to contribute to this general discussion by training a number of young scientists in the fields of computer science and astronomy, focussing on techniques of automated learning from large quantities of data to answer fundamental questions on the evolution of properties of galaxies. While these techniques will lead to major advances in our understanding of the formation and evolution of galaxies, we will also promote, in collaboration with industry, much more general applications in society, e.g. in medical imaging or remote sensing. We have put together a team of astronomers and computer scientists, from academic and private sector partners, to develop techniques to detect and classify ultra-faint galaxies and galaxy remnants in a deep survey of the Fornax cluster, and use the results to study how galaxies evolve in the dense environment of galaxy clusters. With a team of young researchers we will develop novel computer science algorithms addressing fundamental topics in galaxy formation, such as the huge dark matter fractions inferred by theory, and the lack of detected angular momentum in galaxies. The collaboration is unique - it will develop a platform for deep symbiosis of two radically different strands of approaches: purely data-driven machine learning and specialist approaches based on techniques developed in astronomy. Young scientists trained with such skills are highly demanded both in research and business.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: SC1-PM-04-2016 | Award Amount: 10.41M | Year: 2017
Early life is an important window of opportunity to improve health across the full lifecycle. European pregnancy and child cohort studies together offer an unique opportunity to identify a wide range of early life stressors linked with individual biological, developmental and health trajectory variations, and to the onset and evolution of non-communicable diseases. LIFECYCLE will establish the EuroCHILD Cohort Network, which brings together existing, successful pregnancy and child cohorts and biobanks, by developing a governance structure taking account of national and European ethical, legal and societal implications, a shared data-management platform and data-harmonization strategies. LIFECYCLE will enrich this EuroCHILD Cohort Network by generating new integrated data on early life stressors related to socio-economic, migration, urban environment and life-style determinants, and will capitalize on these data by performing hypothesis-driven research on early life stressors influencing cardio-metabolic, respiratory and mental health trajectories during the full lifecycle, and the underlying epigenetic mechanisms. LIFECYCLE will translate these results into recommendations for targeted strategies and personalized prediction models to improve health trajectories for current and future Europeans generations by optimizing their earliest phase of life. To strengthen this long-term collaboration, LIFECYCLE will organize yearly international meetings open to pregnancy and child cohort researchers, introduce a Fellowship Training Programme for exchange of junior researchers between European pregnancy or child cohorts, and develop e-learning modules for researchers performing life-course health studies. Ultimately, LIFECYCLE will lead to a unique sustainable EuroCHILD Cohort Network, and provide recommendations for targeted prevention strategies by identification of novel markers of early life stressors related to health trajectories throughout the lifecycle.
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: INFRADEV-03-2016-2017 | Award Amount: 4.97M | Year: 2017
The INFRAFRONTIER RI integrates European Mouse Clinics and the European Mouse Mutant Archive with the common goal to ensure access to mouse models for basic research of human health and disease, and to translate this knowledge into therapeutic approaches for the benefit of the European society. The expanded INFRAFRONTIER2020 network, coordinated by the INFRAFRONTIER GmbH, includes 3 SMEs and is strategically responding to the INFRADEV3 call with aligned objectives to advance the long-term sustainability which are 1) development of business models and a stable legal framework; 2) raise awareness of the INFRAFRONTIER RI; 3) provide bespoke services aligned with user demands; 4) promote best practices in mouse phenogenomics; 5) enhance robustness of the INFRAFRONTIER IT infrastructure and use of the EMMA strain resource; and 6) improve business processes. Towards achieving these objectives key INFRAFRONTIER2020 project deliverables are: INFRAFRONTIER Business Plan2.0, and business models for all services Stable legal framework built on the INFRAFRONTIER legal entity INFRAFRONTIER annual stakeholder conferences Customised mouse model and secondary phenotyping pilot services INFRAFRONTIER advanced training schools in mouse phenogenomics Reengineered EMMA Database2.0 system Annotated mouse models of human diseases Quality management system for the legal entity INFRAFRONTIER2020 will 1) enhance the sustainable operation of the INFRAFRONTIER RI; 2) continue to structure the ERA, 3) foster innovation, and 4) address major societal challenges in human health by customised service pilots supporting research into common and rare diseases. A sustainable INFRAFRONTIER RI will ensure the quality of deposited mice and support the reproducibility of biological results. Outreach efforts will raise awareness of resources and services and facilitate sustainable engagement with industry and global consortia such as the International Mouse Phenotyping Consortium
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: INFRADEV-03-2016-2017 | Award Amount: 3.95M | Year: 2017
Instruct-Ultra aims to advance the scope and efficiency of implementation of Instruct and consolidate the foundations for long-term sustainability. This will be achieved through specific objectives: expand Instruct membership to new Member States and increase global links; engage new user communities; improve efficiencies in service delivery; improve data capture and management; adjust the scale and reliability of the infrastructure. Instruct-Ultra will deliver these alongside the transition to ERIC legal status and rapid developments in, and increased demand for, integrated structural biology infrastructure. These advances in the scale and speed of delivery will earn further trust within the life science community. One focus will to expand membership to Eastern European states and EFTA countries, integrating their structural biology communities into Instruct and providing new opportunities to support research excellence and raise standards. Opportunities for engaging with industrialised and developing countries outside the ERA will build on existing cooperative work between Instruct and Asian, African and South American countries to establish strong bilateral programmes of benefit to both parties, giving Instruct better engagement in emerging global challenges and positioning Instruct as a trusted global resource for high quality structural biology services. Starting from baseline operations four years ago Instruct has now identified key areas of service which should be expanded, new potential user groups, and opportunities for more reliable, efficient and sometimes remotely used workflows. Instruct-Ultra will therefore test new modes of access and pilot new service methods in high demand areas to accelerate access for more users. Instruct-Ultra will reinforce Instruct operations by updating and expanding the business plan and structural biology roadmap, whilst improving the interface with academia and industry as a strategy to sustainability.
Usoskin I.G.,University of Oulu
Living Reviews in Solar Physics | Year: 2013
Presented here is a review of present knowledge of the long-term behavior of solar activity on a multi-millennial timescale, as reconstructed using the indirect proxy method. The concept of solar activity is discussed along with an overview of the special indices used to quantify different aspects of variable solar activity, with special emphasis upon sunspot number. Over long timescales, quantitative information about past solar activity can only be obtained using a method based upon indirect proxies, such as the cosmogenic isotopes 14C and 10Be in natural stratified archives (e.g., tree rings or ice cores). We give an historical overview of the development of the proxy-based method for past solar-activity reconstruction over millennia, as well as a description of the modern state. Special attention is paid to the verification and cross-calibration of reconstructions. It is argued that this method of cosmogenic isotopes makes a solid basis for studies of solar variability in the past on a long timescale (centuries to millennia) during the Holocene. A separate section is devoted to reconstructions of strong solar energetic-particle (SEP) events in the past, that suggest that the present-day average SEP flux is broadly consistent with estimates on longer timescales, and that the occurrence of extra-strong events is unlikely. Finally, the main features of the long-term evolution of solar magnetic activity, including the statistics of grand minima and maxima occurrence, are summarized and their possible implications, especially for solar/stellar dynamo theory, are discussed.
Agency: European Commission | Branch: H2020 | Program: ERC-STG | Phase: ERC-2016-STG | Award Amount: 1.50M | Year: 2017
We are changing the composition of Earths atmosphere, with profound consequences for the environment and our wellbeing. Tiny aerosol particles are globally responsible for much of the health effects and mortality related to air pollution and play key roles in regulating Earths climate via their critical influence on both radiation balance and cloud formation. Every single cloud droplet has been nucleated on the surface of an aerosol particle. Aerosols and droplets provide the media for condensed-phase chemistry in the atmosphere, but large gaps remain in our understanding of their formation, transformations, and climate interactions. Surface properties may play crucial roles in these processes, but currently next to nothing is known about the surfaces of atmospheric aerosols and cloud droplets and their impacts are almost entirely unconstrained. My recent work strongly suggests that such surfaces are significantly different from their associated bulk material and that these unique properties can impact aerosol processes all the way to the global scale. Very few surface-specific properties are currently considered when evaluating aerosol effects on atmospheric chemistry and global climate. Novel developments of cutting-edge computational and experimental methods, in particular synchrotron-based photoelectron spectroscopy, now for the first time makes direct molecular-level characterizations of atmospheric surfaces feasible. This project will demonstrate and quantify potential surface impacts in the atmosphere, by first directly characterizing realistic atmospheric surfaces, and then trace fingerprints of specific surface properties in a hierarchy of experimental and modelled aerosol processes and atmospheric effects. Successful demonstrations of unique aerosol surface fingerprints will constitute truly novel insights into a currently uncharted area of the atmospheric system and identify an entirely new frontier in aerosol research and atmospheric science.