20,853 results on '"Lehtonen, A."'
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2. Instantiations and Computational Aspects of Non-Flat Assumption-based Argumentation
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Lehtonen, Tuomo, Rapberger, Anna, Toni, Francesca, Ulbricht, Markus, and Wallner, Johannes P.
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Computer Science - Artificial Intelligence - Abstract
Most existing computational tools for assumption-based argumentation (ABA) focus on so-called flat frameworks, disregarding the more general case. In this paper, we study an instantiation-based approach for reasoning in possibly non-flat ABA. We make use of a semantics-preserving translation between ABA and bipolar argumentation frameworks (BAFs). By utilizing compilability theory, we establish that the constructed BAFs will in general be of exponential size. In order to keep the number of arguments and computational cost low, we present three ways of identifying redundant arguments. Moreover, we identify fragments of ABA which admit a poly-sized instantiation. We propose two algorithmic approaches for reasoning in possibly non-flat ABA. The first approach utilizes the BAF instantiation while the second works directly without constructing arguments. An empirical evaluation shows that the former outperforms the latter on many instances, reflecting the lower complexity of BAF reasoning. This result is in contrast to flat ABA, where direct approaches dominate instantiation-based approaches.
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- 2024
3. Associative-commutative spectra for some varieties of groupoids
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Huang, Jia and Lehtonen, Erkko
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Mathematics - Combinatorics - Abstract
The associative spectrum of a groupoid (i.e., a set with a binary operation) measures its nonassociativity while the associative-commutative spectrum measures both nonassociativity and noncommutativity of the groupoid. The two spectra are also the coefficients of the Hilbert series of certain operads. We establish upper bounds for the two spectra of various varieties of groupoids defined by different sets of identities and provide examples (often groupoids with three elements) for which the upper bounds are achieved. Our results have connections to many interesting combinatorial objects and integer sequences and naturally lead to some questions for future studies., Comment: 19 pages
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- 2024
4. Deep generative denoising networks enhance quality and accuracy of gated cardiac PET data
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Jafaritadi, Mojtaba, Teuho, Jarmo, Lehtonen, Eero, Klén, Riku, Saraste, Antti, and Levin, Craig S.
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- 2024
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5. The Impact of VEGF-C-Induced Dural Lymphatic Vessel Growth on Ischemic Stroke Pathology
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Keuters, Meike Hedwig, Antila, Salli, Immonen, Riikka, Plotnikova, Lidiia, Wojciechowski, Sara, Lehtonen, Sarka, Alitalo, Kari, Koistinaho, Jari, and Dhungana, Hiramani
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- 2024
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6. Optimization of active power dispatch considering unified power flow controller: application of evolutionary algorithms in a fuzzy framework
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Naderi, Ehsan, Mirzaei, Lida, Pourakbari-Kasmaei, Mahdi, Cerna, Fernando V., and Lehtonen, Matti
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- 2024
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7. 'How Am I Supposed to Tell My Mother What Happened in Today's Class?': At the Intersection between Blended Learning and Design (Thinking) Education
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Lehtonen, Miikka J.
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Since the beginning of the 21st century, design education has been gaining momentum across disciplines as a means to equip students with skills relevant in the job market as well as to tackle wicked problems. One of the core assumptions behind integrating design education to other disciplines focuses on the need for hands-on and experiential opportunity exploration and collaborative learning, often prevalent in studio-based settings. However, as the Covid-19 pandemic has shown, physically accessing the campus or the studio is not always feasible, so how might this impact multidisciplinary design education? Acknowledging the notion that we no longer can take face-to-face learning for granted, this paper ask what aspects of design (thinking) education could be delivered in blended environments. I contribute to this body of knowledge by investigating students' perceptions of their learning about design methods and processes in a problem-based blended learning course focusing on design and multidisciplinary teamwork. Visual learning diaries of forty-seven students were analyzed to better understand how blended learning can support or hinder learning about applying design to societal issues. Data analysis revealed three aspects -- triggers for personal development, exploring ambiguity, and technology as providing structure -- that form the concept learning frame. This concept sheds light on how the students perceived blended learning elements influencing their learning about how design could be applied to societal issues. Findings contribute to further dissolving the physical-digital dichotomy in design studio and education. Pedagogical implications focus on how blended learning can promote student agency in design education across disciplines.
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- 2023
8. Data-Driven Modelling for Harmonic Current Emission in Low-Voltage Grid Using MCReSANet with Interpretability Analysis
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Yao, Jieyu, Yu, Hao, Judge, Paul, Jia, Jiabin, Djokic, Sasa, Püvi, Verner, Lehtonen, Matti, and Meyer, Jan
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Electrical Engineering and Systems Science - Systems and Control ,Computer Science - Computer Vision and Pattern Recognition - Abstract
Even though the use of power electronics PE loads offers enhanced electrical energy conversion efficiency and control, they remain the primary sources of harmonics in grids. When diverse loads are connected in the distribution system, their interactions complicate establishing analytical models for the relationship between harmonic voltages and currents. To solve this, our paper presents a data-driven model using MCReSANet to construct the highly nonlinear between harmonic voltage and current. Two datasets from PCCs in Finland and Germany are utilized, which demonstrates that MCReSANet is capable of establishing accurate nonlinear mappings, even in the presence of various network characteristics for selected Finland and Germany datasets. The model built by MCReSANet can improve the MAE by 10% and 14% compared to the CNN, and by 8% and 17% compared to the MLP for both Finnish and German datasets, also showing much lower model uncertainty than others. This is a crucial prerequisite for more precise SHAP value-based feature importance analysis, which is a method for the model interpretability analysis in this paper. The results by feature importance analysis show the detailed relationships between each order of harmonic voltage and current in the distribution system. There is an interactive impact on each order of harmonic current, but some orders of harmonic voltages have a dominant influence on harmonic current emissions: positive sequence and zero sequence harmonics have the dominant importance in the Finnish and German networks, respectively, which conforms to the pattern of connected load types in two selected Finnish and German datasets. This paper enhances the potential for understanding and predicting harmonic current emissions by diverse PE loads in distribution systems, which is beneficial to more effective management for optimizing power quality in diverse grid environments.
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- 2023
9. Associativity conditions for linear quasigroups and equivalence relations on binary trees
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Lehtonen, Erkko and Waldhauser, Tamás
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Mathematics - Combinatorics ,Mathematics - Rings and Algebras - Abstract
We characterise the bracketing identities satisfied by linear quasigroups with the help of certain equivalence relations on binary trees that are based on the left and right depths of the leaves modulo some integers. The numbers of equivalence classes of $n$-leaf binary trees are variants of the Catalan numbers, and they form the associative spectrum (a kind of measure of non-associativity) of a quasigroup., Comment: 32 pages
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- 2023
10. Instrument for the assessment of road user automated vehicle acceptance: A pyramid of user needs of automated vehicles
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Nordhoff, Sina, Hagenzieker, Marjan, Lehtonen, Esko, Oehl, Michael, Wilbrink, Marc, Ozturk, Ibrahim, Maggi, David, Métayer, Natacha, Merlhiot, Gaëtan, and Merat, Natasha
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Computer Science - Human-Computer Interaction - Abstract
This study proposed a new methodological approach for the assessment of automated vehicle acceptance (AVA) from the perspective of road users inside and outside of AVs pre- and post- AV experience. Users can be drivers and passengers, but also external road users, such as pedestrians, (motor-)cyclists, and other car drivers, interacting with AVs. A pyramid was developed, which provides a hierarchical representation of user needs. Fundamental user needs are organized at the bottom of the pyramid, while higher-level user needs are at the top of the pyramid. The pyramid distinguishes between six levels of needs, which are safety trust, efficiency, comfort and pleasure, social influence, and well-being. Some user needs universally exist across users, while some are user-specific needs. These needs are translated into operationalizable indicators representing items of a questionnaire for the assessment of AVA of users inside and outside AVs. The formulation of the questionnaire items was derived from established technology acceptance models. As the instrument was based on the same model for all road users, the comparison of AVA between different road users is now possible. We recommend future research to validate this questionnaire, administering it in studies to contribute to the development of a short, efficient, and standardized metric for the assessment of AVA., Comment: 17 pages, 1 figure
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- 2023
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11. Longitudinal Associations between Parental Early Psychological Distress and Children's Emotional and Behavioural Problems during Early Childhood and Self-Reported Social Functioning in 11-year-old Children Born Very Preterm
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Susanna Salomäki, Niina Junttila, Sirkku Setänen, Päivi Rautava, Mira Huhtala, Marika Leppänen, Liisa Lehtonen, and Riikka Korja
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This study examined longitudinal associations between parental psychological distress (stress and depression) when the child was 2 to 4 years and a child's emotional and behavioural problems at ages 3 to 4, and social functioning (loneliness and social competence) at age 11 in very preterm born children. The participants were Finnish families of 172 very preterm infants (gestational age < 32 weeks and/or birth weight [less than or equal to] 1500 g). In girls, higher levels of maternal depression were associated with higher levels of social and emotional loneliness. Furthermore, higher levels of maternal stress and children's externalizing problems were associated with lower levels of experienced empathy. In boys, higher levels of paternal depression were associated with lower levels of social loneliness and impulsive behaviour. In conclusion, early parental psychological distress is associated with early socioemotional development and the later experienced social functioning in former very preterm infants. The sex of the child moderates these associations.
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- 2024
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12. LASTU: A psycholinguistic search tool for Finnish lexical stimuli
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Itkonen, Sami, Häikiö, Tuomo, Vainio, Seppo, and Lehtonen, Minna
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- 2024
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13. Safety, tolerability and immunogenicity of PRV-101, a multivalent vaccine targeting coxsackie B viruses (CVBs) associated with type 1 diabetes: a double-blind randomised placebo-controlled Phase I trial
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Hyöty, Heikki, Kääriäinen, Susanna, Laiho, Jutta E., Comer, Gail M., Tian, Wei, Härkönen, Taina, Lehtonen, Jussi P., Oikarinen, Sami, Puustinen, Leena, Snyder, Michele, León, Francisco, Scheinin, Mika, Knip, Mikael, and Sanjuan, Miguel
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- 2024
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14. Epoxidation of Light Olefin Mixtures with Hydrogen Peroxide on TS-1 Catalyst
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Alvear, Matias, Fortunato, Michele, Eränen, Kari, Lehtonen, Juha, Rautiainen, Sari, Di Serio, Martino, Russo, Vincenzo, and Salmi, Tapio
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- 2024
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15. Stability of Boolean Function Classes with Respect to Clones of Linear Functions
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Couceiro, Miguel and Lehtonen, Erkko
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- 2024
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16. Carbon neutral higher education institutions: a reality check, challenges and solutions
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Ahonen, Veronica Lucia, Woszczek, Aleksandra, Baumeister, Stefan, Helimo, Ulla T., Jackson, Anne Kristiina, Kopsakangas-Savolainen, Maria, Kääriä, Juha, Lehtonen, Tommi, Luoranen, Mika, Pongrácz, Eva, Soukka, Risto, Vainio, Veera, and El Geneidy, Sami
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- 2024
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17. $S$-preclones and the Galois connection ${}^S\mathrm{Pol}$-${}^S\mathrm{Inv}$, Part I
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Jipsen, Peter, Lehtonen, Erkko, and Pöschel, Reinhard
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Mathematics - Rings and Algebras - Abstract
We consider $S$-operations $f \colon A^{n} \to A$ in which each argument is assigned a signum $s \in S$ representing a "property" such as being order-preserving or order-reversing with respect to a fixed partial order on $A$. The set $S$ of such properties is assumed to have a monoid structure reflecting the behaviour of these properties under the composition of $S$-operations (e.g., order-reversing composed with order-reversing is order-preserving). The collection of all $S$-operations with prescribed properties for their signed arguments is not a clone (since it is not closed under arbitrary identification of arguments), but it is a preclone with special properties, which leads to the notion of $S$-preclone. We introduce $S$-relations $\varrho = (\varrho_{s})_{s \in S}$, $S$-relational clones, and a preservation property ($f \mathrel{\stackrel{S}{\triangleright}} \varrho$), and we consider the induced Galois connection ${}^S\mathrm{Pol}$-${}^S\mathrm{Inv}$. The $S$-preclones and $S$-relational clones turn out to be exactly the closed sets of this Galois connection. We also establish some basic facts about the structure of the lattice of all $S$-preclones on $A$., Comment: 33 pages
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- 2023
18. SSPolSInv-preclones and the Galois connection SSPolSInv–SSPolSInv, Part I
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Jipsen, Peter, Lehtonen, Erkko, and Pöschel, Reinhard
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- 2024
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19. Building shape-focused pharmacophore models for effective docking screening
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Paola Moyano-Gómez, Jukka V. Lehtonen, Olli T. Pentikäinen, and Pekka A. Postila
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Distance-based graph clustering ,Shape-focused pharmacophore modeling ,Flexible-ligand molecular docking ,Docking rescoring ,Shape similarity ,Virtual screening ,Information technology ,T58.5-58.64 ,Chemistry ,QD1-999 - Abstract
Abstract The performance of molecular docking can be improved by comparing the shape similarity of the flexibly sampled poses against the target proteins’ inverted binding cavities. The effectiveness of these pseudo-ligands or negative image-based models in docking rescoring is boosted further by performing enrichment-driven optimization. Here, we introduce a novel shape-focused pharmacophore modeling algorithm O-LAP that generates a new class of cavity-filling models by clumping together overlapping atomic content via pairwise distance graph clustering. Top-ranked poses of flexibly docked active ligands were used as the modeling input and multiple alternative clustering settings were benchmark-tested thoroughly with five demanding drug targets using random training/test divisions. In docking rescoring, the O-LAP modeling typically improved massively on the default docking enrichment; furthermore, the results indicate that the clustered models work well in rigid docking. The C+ +/Qt5-based algorithm O-LAP is released under the GNU General Public License v3.0 via GitHub ( https://github.com/jvlehtonen/overlap-toolkit ). Scientific contribution This study introduces O-LAP, a C++/Qt5-based graph clustering software for generating new type of shape-focused pharmacophore models. In the O-LAP modeling, the target protein cavity is filled with flexibly docked active ligands, the overlapping ligand atoms are clustered, and the shape/electrostatic potential of the resulting model is compared against the flexibly sampled molecular docking poses. The O-LAP modeling is shown to ensure high enrichment in both docking rescoring and rigid docking based on comprehensive benchmark-testing. Graphical Abstract
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- 2024
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20. Glial cell transplant for brain diseases: the supportive saviours?
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Katrina Albert, Gundars Goldsteins, Sara Kälvälä, Jukka Jolkkonen, and Šárka Lehtonen
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Glia ,Microglia ,Astrocytes ,Oligodendrocytes ,Neurodegenerative diseases ,Brain diseases ,Medicine - Abstract
Abstract The incidence of brain diseases in humans is increasing as we experience a worldwide ageing of the population. Treatment for such diseases is still only symptomatic as there are almost no disease-modifying therapies available. Further, since treatment often starts when symptoms appear which is only at a late stage of pathology, we need treatments that will create new cells or restore function to still living cells. Cell transplant therapy, where neuronal progenitor cells derived from stem cells are transplanted to the brain, has seen experimental success. And though there has been some clinical progress, there is still no available therapy. While through the years brain research has focused on neurons, it is now shifting to the so-called support cells of the brain, glia. In neurodegenerative diseases and stroke, glia play roles in the pathogenesis of disease. Therefore, replacing them or enhancing their functions to ultimately save or restore neurons is a new avenue of research that has gained traction in recent years. In this review, we present the current state-of-the-art on transplantation of glia cells, feasibility of this as a therapy, and upcoming directions in the field.
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- 2024
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21. Modelling boreal forest's mineral soil and peat C dynamics with the Yasso07 model coupled with the Ricker moisture modifier
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B. Ťupek, A. Lehtonen, A. Yurova, R. Abramoff, B. Guenet, E. Bruni, S. Launiainen, M. Peltoniemi, S. Hashimoto, X. Tian, J. Heikkinen, K. Minkkinen, and R. Mäkipää
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Geology ,QE1-996.5 - Abstract
As soil microbial respiration is the major component of land CO2 emissions, differences in the functional dependence of respiration on soil moisture among Earth system models (ESMs) contributes significantly to the uncertainties in their projections. Using soil organic C (SOC) stocks and CO2 data from a boreal forest–mire ecotone in Finland and Bayesian data assimilation, we revised the original precipitation-based monotonic saturation dependency of the Yasso07 soil carbon model using the non-monotonic Ricker function based on soil volumetric water content. We fit the revised functional dependency of moisture to the observed microbial respiration and SOC stocks and compared its performance against the original Yasso07 model and the version used in the JSBACH land surface model with a reduction constant for decomposition rates in wetlands. The Yasso07 soil C model coupled with the calibrated unimodal Ricker moisture function with an optimum in well-drained soils accurately reconstructed observed SOC stocks and soil CO2 emissions and clearly outperformed previous model versions on paludified organo-mineral soils in forested peatlands and water-saturated organic soils in mires. The best estimate of the posterior moisture response of decomposition used both measurements of SOC stocks and CO2 data from the full range of moisture conditions (from dry and xeric to wet and water-saturated soils). We observed unbiased residuals of SOC and CO2 data modelled with the moisture optimum in well-drained soils, suggesting that this modified function accounts more precisely for the long-term SOC change dependency according to ecosystem properties as well as the contribution of short-term CO2 responses including extreme events. The optimum moisture for decomposition in boreal forests was found in well-drained soils instead of the mid-range between dry and water-saturated conditions as is commonly assumed among soil C and ESMs. Although the unimodal moisture modifier with an optimum in well-drained soils implicitly incorporates robust biogeochemical mechanisms of SOC accumulation and CO2 emissions, it needs further evaluation with large-scale data to determine if its use in land surface models will decrease the uncertainty in projections.
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- 2024
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22. Recent developments of demand‐side management towards flexible DER‐rich power systems: A systematic review
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Hossam H. H. Mousa, Karar Mahmoud, and Matti Lehtonen
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distributed power generation ,power system management ,power system planning ,power system reliability ,Distribution or transmission of electric power ,TK3001-3521 ,Production of electric energy or power. Powerplants. Central stations ,TK1001-1841 - Abstract
Abstract Recently, various distributed energy resources are significantly integrated into the modern power systems. This introduction of distributed energy resource‐rich systems can cause various power quality issues, due to their uncertainties and capacity variations. Therefore, it is crucial to establish energy balance between generation and demand to improve power system's reliability and stability and to minimize energy costs without sacrificing customers’ comfort or utility. In this regard, power system flexibility concept is highlighted as a robust and cost‐effective energy management system, especially on the demand side, to provide consumers’ demands with an acceptable level of power quality. Accordingly, here, a comprehensive review of recent developments in the power system flexibility and demand‐side management strategies and demand response programs are provided to include mainly classifications, estimation methods, distributed energy resource modelling approaches, infrastructure requirements, and applications. In addition, current research topics for applying power system flexibility solutions and demand‐side management strategies based on modern power system operation are deliberated. Also, prominent challenges, research trends, and future perspectives are discussed. Finally, this review article aims to be an appropriate reference for comprehensive research trends in the power system flexibility concept in general and in demand‐side management strategies and demand response programs, specifically.
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- 2024
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23. Evaluating transient behaviour of large‐scale photovoltaic systems during lightning events using enhanced finite difference time domain method with variable cell size approach
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Ibrahim Hetita, Diaa‐Eldin A. Mansour, Yang Han, Ping Yang, Congling Wang, Mohamed M. F. Darwish, Matti Lehtonen, and Amr S. Zalhaf
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Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 ,Electricity ,QC501-721 - Abstract
Abstract Photovoltaic (PV) arrays are usually installed in open areas; hence, they are vulnerable to lightning strikes that can result in cell degradation, complete damage, service disruption, and increased maintenance costs. As a result, it is imperative to develop an effective and efficient lightning protection system by evaluating the transient behaviour of PV arrays during lightning events. The aim is to evaluate the transient analysis of large‐scale PV systems when subjected to lightning strikes using the finite difference time domain (FDTD) technique. Transient overvoltages are calculated at various points within the mounting system. To optimise the FDTD method's execution time and make it more suitable for less powerful hardware, a variable cell size approach is employed. Specifically, larger cell dimensions are used in the earthing system and smaller cell dimensions are used in the mounting system. The FDTD method is utilised to calculate the temporal variation of transient overvoltages for large‐scale PV systems under different scenarios, including variations in the striking point, soil resistivity, and the presence of a metal frame. Simulation results indicate that the highest transient overvoltages occur at the striking point, and these values increase with the presence of a PV metal frame as well as with higher soil resistivity. Furthermore, a comparison is performed between the overvoltage results obtained from the FDTD approach and the partial element equivalent circuit (PEEC) method at the four corner points of the mounting systems to demonstrate the superior accuracy of the FDTD method. Besides, a laboratory experiment is conducted on a small‐scale PV system to validate the simulation results. The calculated overvoltages obtained from the FDTD and PEEC methods are compared with the measured values, yielding a mean absolute error of 5% and 11% for the FDTD and PEEC methods, respectively, thereby confirming the accuracy of the FDTD simulation model.
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- 2024
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24. LRG1 and SDR16C5 protein expressions differ according to HPV status in oropharyngeal squamous cell carcinoma
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Reija Randén-Brady, Timo Carpén, Laura C. Hautala, Tuomas Tolvanen, Caj Haglund, Sakari Joenväärä, Petri Mattila, Antti Mäkitie, Sanna Lehtonen, Jaana Hagström, and Suvi Silén
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Medicine ,Science - Abstract
Abstract The increasing incidence of oropharyngeal squamous cell carcinoma (OPSCC) is primarily due to human papillomavirus, and understanding the tumor biology caused by the virus is crucial. Our goal was to investigate the proteins present in the serum of patients with OPSCC, which were not previously studied in OPSCC tissue. We examined the difference in expression of these proteins between HPV-positive and -negative tumors and their correlation with clinicopathological parameters and patient survival. The study included 157 formalin-fixed, paraffin-embedded tissue samples and clinicopathological data. Based on the protein levels in the sera of OPSCC patients, we selected 12 proteins and studied their expression in HPV-negative and HPV-positive OPSCC cell lines. LRG1, SDR16C5, PIP4K2C and MVD proteins were selected for immunohistochemical analysis in HPV-positive and -negative OPSCC tissue samples. These protein´s expression levels were compared with clinicopathological parameters and patient survival to investigate their clinical relevance. LRG1 expression was strong in HPV-negative whereas SDR16C5 expression was strong in HPV-positive tumors. Correlation was observed between LRG1, SDR16C5, and PIP4K2C expression and patient survival. High expression of PIP4K2C was found to be an independent prognostic factor for overall survival and expression correlated with HPV-positive tumor status. The data suggest the possible role of LRG1, SDR16C5 and PIP4K2C in OPSCC biology.
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- 2024
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25. There is a need to better take into account forest soils in the planned soil monitoring law of the European Union
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Nicole Wellbrock, Nathalie Cools, Bruno de Vos, Robert Jandl, Aleksi Lehtonen, Ernst Leitgeb, Raisa Mäkipää, Pavel Pavlenda, Kai Schwärtzel, and Vít Šrámek
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Forest soil monitoring ,ICP Forests ,Soil health ,Forest floor ,Thresholds ,Indicators ,Forestry ,SD1-669.5 - Abstract
Abstract Key message A Soil Monitoring Law to improve soil health across all land uses has been proposed by the European Commission. As forests soils have different chemical and physical properties as well as biogeochemical dynamics compared to agricultural land, they also face different challenges in maintaining and restoring soil health. Examples are soil acidification, eutrophication by atmospheric deposition, responses to climate change, and loss of biodiversity. Therefore, we propose forest soil specific health descriptors and thresholds based on experience and knowledge from existing long-term monitoring programs.
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- 2024
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26. Diagnosis of Power Components Amid the 4th Industrial Revolution
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Elsisi, Mahmoud, primary, Tran, Minh-Quang, additional, Amer, Mohammed, additional, Vu, Viet Q., additional, Darwish, Mohamed M. F., additional, Mahmoud, Karar, additional, Mansour, Diaa-Eldin A., additional, and Lehtonen, Matti, additional
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- 2024
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27. Near-unanimity-closed minions of Boolean functions
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Lehtonen, Erkko
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Mathematics - Rings and Algebras ,Mathematics - Combinatorics ,03C05, 06E30, 08A40 - Abstract
The near-unanimity-closed minions of Boolean functions, i.e., the clonoids whose target algebra contains a near-unanimity function, are completely described. The key concept towards this result is the minorant-minor partial order and its order ideals., Comment: 45 pages
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- 2023
28. TWINGEN: protocol for an observational clinical biobank recall and biomarker cohort study to identify Finnish individuals with high risk of Alzheimer’s disease
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Tommi Vasankari, Henri Vähä-Ypyä, Oskari Heikinheimo, Athena Matakidou, Jaakko Kaprio, Eero Vuoksimaa, Ying Wu, Kai Kaarniranta, Peeter Karihtala, Wei Zhou, Caroline Fox, Sanna-Kaisa Herukka, Sarah Smith, Apinya Lertratanakul, Katri Kaukinen, Johannes Kettunen, Minna Männikkö, Eeva Sliz, Markus Perola, Veikko Salomaa, Hilkka Soininen, Ilkka Kalliala, Mika Kähönen, Hao Chen, Andrey Loboda, Laure Morin-Papunen, Terhi Piltonen, Anders Mälarstig, Jason Miller, Jussi Hernesniemi, Henrike Heyne, Sirkku Peltonen, Daniel Gordin, Masahiro Kanai, Benjamin Challis, Juha Sinisalo, David Rice, Fredrik Åberg, Aarno Palotie, Samuli Ripatti, Oili Kaipiainen-Seppänen, Aki Havulinna, Satu Strausz, Tuomo Kiiskinen, Sanni Ruotsalainen, Jukka Koskela, Tuula Palotie, Mark Daly, Howard Jacob, Heiko Runz, Sally John, Robert Plenge, Mark McCarthy, Julie Hunkapiller, Dawn Waterworth, Petri Virolainen, Terhi Kilpi, Jukka Partanen, Anne Pitkäranta, Veli-Matti Kosma, Outi Tuovila, Raimo Pakkanen, Shameek Biswas, Xinli Hu, Johanna Schleutker, Mikko Arvas, Olli Carpen, Reetta Hinttala, Arto Mannermaa, Valtteri Julkunen, Anne Remes, Reetta Kälviäinen, Mikko Hiltunen, Jukka Peltola, Pentti Tienari, Juha Rinne, Adam Ziemann, Jeffrey Waring, Nizar Smaoui, Anne Lehtonen, Susan Eaton, Sanni Lahdenperä, Natalie Bowers, Edmond Teng, Fanli Xu, David Pulford, Martti Färkkilä, Sampsa Pikkarainen, Airi Jussila, Timo Blomster, Mikko Kiviniemi, Markku Voutilainen, Fedik Rahimov, Joseph Maranville, Tim Lu, Kirsi Kalpala, Melissa Miller, Linda McCarthy, Kari Eklund, Antti Palomäki, Pia Isomäki, Laura Pirilä, Johanna Huhtakangas, Marla Hochfeld, Nan Bing, Jorge Esparza Gordillo, Nina Mars, Tarja Laitinen, Margit Pelkonen, Paula Kauppi, Hannu Kankaanranta, Terttu Harju, Hubert Chen, Teemu Niiranen, Kaj Metsärinne, Marja-Riitta Taskinen, Tiinamaija Tuomi, Jari Laukkanen, Audrey Chu, Jaakko Parkkinen, Heikki Joensuu, Tuomo Meretoja, Lauri Aaltonen, Annika Auranen, Päivi Auvinen, Klaus Elenius, Relja Popovic, Bridget Riley-Gillis, Jennifer Schutzman, Heli Lehtonen, Stefan McDonough, Diptee Kulkarni, Terhi Ollila, Hannu Uusitalo, Erich Strauss, Kaisa Tasanen, Laura Huilaja, Katariina Hannula-Jouppi, Teea Salmi, Leena Koulu, David Choy, Anu Jalanko, Risto Kajanne, Mari Kaunisto, Chia-Yen Chen, Robert Yang, Kirsi Auro, Clement Chatelain, Mitja Kurki, Juha Karjalainen, Kimmo Palin, Priit Palta, Susanna Lemmelä, Manuel Rivas, Arto Lehisto, Andrea Ganna, Vincent Llorens, Kati Kristiansson, Kati Hyvärinen, Jarmo Ritari, Katri Pylkäs, Minna Karjalainen, Tuomo Mantere, Eeva Kangasniemi, Sami Heikkinen, Eija Laakkonen, Anu Loukola, Päivi Laiho, Tuuli Sistonen, Essi Kaiharju, Markku Laukkanen, Elina Järvensivu, Sini Lähteenmäki, Lotta Männikkö, Regis Wong, Hannele Mattsson, Tero Hiekkalinna, Kati Donner, Kalle Pärn, Elina Kilpeläinen, Hannele Laivuori, Harri Siirtola, Sirpa Soini, Teijo Kuopio, Ioanna Tachmazidou, Katja Kivinen, Pekka Nieminen, Adam Platt, Sanna Toppila-Salmi, Antti Mäkitie, Elmo Saarentaus, Kristiina Aittomäki, Elisabeth Widen, Marja Vääräsmäki, Erkki Isometsä, Laura Addis, Mika Helminen, Taneli Raivio, Mart Kals, Majd Mouded, Hanna Ollila, Vuokko Anttonen, Tarja Kokkola, Robert Graham, Amanda Elliott, Ali Abbasi, Bridget Riley-Gills, Dirk Paul, Katherine Klinger, Deepak Raipal, Antti Hakanen, Raisa Serpi, Johanna Mäkelä, Mengzhen Liu, Neha Raghavan, Adriana Huertas-Vazquez, Nicole Renaud, Roosa Kallionpää, John Eicher, Minna Raivio, Juulia Partanen, Riitta Lahesmaa, Glenda Lassi, Joanna Betts, Rajashree Mishra, Felix Vaura, Joel Rämö, Mary Pat Reeve, Johanna Mattson, Sauli Vuoti, Esa Pitkänen, Joni A Turunen, Stephanie Loomis, Pirkko Pussinen, Aino Salminen, Tuula Salo, Ulla Palotie, Maria Siponen, Liisa Suominen, Päivi Mäntylä, Ulvi Gursoy, Kirsi Sipilä, Venla Kurra, Laura Kotaniemi-Talonen, Outi Uimari, Taru Tukiainen, Niko Välimäki, Janet Kumar, Juha Mehtonen, Shabbeer Hassan, Pietro Della Briotta Parolo, Mutaamba Maasha, Javier Garcia-Tabuenca, Jiwoo Lee, Kristin Tsuo, Nina Pitkänen, Eero Punkka, Huei-Yi Shen, Mervi Aavikko, L. Elisa Lahtela, Timo P. Sipilä, Awaisa Ghazal, Sami Koskelainen, Teemu Paajanen, Shuang Luo, Javier Gracia-Tabuenca, Tiina Luukkaala, Iida Vähätalo, Marco Hautalahti, Tom Southerington, Paula Iso-Markku, Jaana Suvisaari, Zhihao Ding, Qingqin S Li, Amy Hart, Perttu Terho, Alessandro Porello, Anastasia Kytölä, Antti Aarnisalo, Aoxing Liu, Argyro Bizaki-Vallaskangas, Auli Toivola, Debby Ngo, Dermot Reilly, Ekaterina Khramtsova, Elisa Rahikkala, Eric Green, Eveliina Salminen, Fabiana Farias, George Okafo, Heidi Silven, Heli Salminen-Mankonen, Henna Palin, Iiris Hovatta, Jaakko Tyrmi, Jae-Hoon Sul, Jenni Aittokallio, Jyrki Pitkänen, Karen He, Katriina Aalto-Setälä, Maarit Niinimäki, Malla-Maria Linna, Marc Jung, Margaret G. Ehm, Marianna Niemi, Meijian Guan, Mike Mendelson, Minna Brunfeldt, Natalia Pujol, Nathan Lawless, Oluwaseun Alexander Dada, Rigbe Weldatsadik, Riikka Arffman, Rion Pendergrass, Sahar Mozaffari, Samuel Lessard, Sanna Siltanen, Shanmukha Sampath Padmanabhuni, Simonne Longerich, Susanna Savukoski, Thomas Damm Als, Timo Hiltunen, Tomi P. Mäkelä, Triin Laisk, Tytti Willberg, Varpu Jokimaa, Aija Kyttälä, Toni T Saari, Aino Aaltonen, Sari Aaltonen, Sari Kärkkäinen, Hilkka Liedes, Miina Ollikainen, Teemu Palviainen, Ilona Ruotsalainen, Mia Urjansson, Markus M Forsberg, Jaakko Lähteenmäki, Pia Nyberg, Jani Tikkanen, Mari E. Niemi, and Rodos Rodosthenous
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Medicine - Abstract
Introduction A better understanding of the earliest stages of Alzheimer’s disease (AD) could expedite the development or administration of treatments. Large population biobanks hold the promise to identify individuals at an elevated risk of AD and related dementias based on health registry information. Here, we establish the protocol for an observational clinical recall and biomarker study called TWINGEN with the aim to identify individuals at high risk of AD by assessing cognition, health and AD-related biomarkers. Suitable candidates were identified and invited to participate in the new study among THL Biobank donors according to TWINGEN study criteria.Methods and analysis A multi-centre study (n=800) to obtain blood-based biomarkers, telephone-administered and web-based memory and cognitive parameters, questionnaire information on lifestyle, health and psychological factors, and accelerometer data for measures of physical activity, sedentary behaviour and sleep. A subcohort is being asked to participate in an in-person neuropsychological assessment (n=200) and wear an Oura ring (n=50). All participants in the TWINGEN study have genome-wide genotyping data and up to 48 years of follow-up data from the population-based older Finnish Twin Cohort (FTC) study of the University of Helsinki. The data collected in TWINGEN will be returned to THL Biobank from where it can later be requested for other biobank studies such as FinnGen that supported TWINGEN.Ethics and dissemination This recall study consists of FTC/THL Biobank/FinnGen participants whose data were acquired in accordance with the Finnish Biobank Act. The recruitment protocols followed the biobank protocols approved by Finnish Medicines Agency. The TWINGEN study plan was approved by the Ethics Committee of Hospital District of Helsinki and Uusimaa (number 16831/2022). THL Biobank approved the research plan with the permission no: THLBB2022_83.
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- 2024
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29. Correction: Enhanced recovery after surgery (ERAS) protocol improves patient outcomes in free flap surgery for head and neck cancer
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Nieminen, Teija, Tapiovaara, Laura, Bäck, Leif, Lindford, Andrew, Lassus, Patrik, Lehtonen, Lasse, Mäkitie, Antti, and Keski-Säntti, Harri
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- 2024
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30. Collecting Linguistic Resources for Assessing Children's Pronunciation of Nordic Languages.
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Anne Marte Haug Olstad, Anna Smolander, Sofia Strömbergsson, Sari Ylinen, Minna Lehtonen, Mikko Kurimo, Yaroslav Getman, Tamás Grósz, Xinwei Cao, Torbjørn Svendsen, and Giampiero Salvi
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- 2024
31. Analyzing the Remote Operation Task to Support Highly Automated Vehicles - Suggesting the Core Task Analysis to Ensure the Human-Centered Design of the Remote Operation Station.
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Hanna Koskinen, Andreas Schrank, Esko Lehtonen, and Michael Oehl
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- 2024
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32. Analyzing the Remote Operation Task to Support Highly Automated Vehicles – Suggesting the Core Task Analysis to Ensure the Human-Centered Design of the Remote Operation Station
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Koskinen, Hanna, Schrank, Andreas, Lehtonen, Esko, Oehl, Michael, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Vardi, Moshe Y, Series Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, and Krömker, Heidi, editor
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- 2024
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33. Enhanced recovery after surgery (ERAS) protocol improves patient outcomes in free flap surgery for head and neck cancer
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Nieminen, Teija, Tapiovaara, Laura, Bäck, Leif, Lindford, Andrew, Lassus, Patrik, Lehtonen, Lasse, Mäkitie, Antti, and Keski-Säntti, Harri
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- 2024
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34. Galois theory for analogical classifiers
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Couceiro, Miguel and Lehtonen, Erkko
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- 2024
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35. Mother-newborn couplet care: Nordic country experiences of organization, models and practice
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Klemming, Stina, Lilliesköld, Siri, Arwehed, Sofia, Jonas, Wibke, Lehtonen, Liisa, and Westrup, Björn
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- 2023
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36. Vascular adhesion protein-1-targeted PET imaging in autoimmune myocarditis
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Jahandideh, Arghavan, Virta, Jenni, Li, Xiang-Guo, Liljenbäck, Heidi, Moisio, Olli, Ponkamo, Jesse, Rajala, Noora, Alix, Marion, Lehtonen, Jukka, Mäyränpää, Mikko I., Salminen, Tiina A., Knuuti, Juhani, Jalkanen, Sirpa, Saraste, Antti, and Roivainen, Anne
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- 2023
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37. Costs of oropharyngeal squamous cell cancer treatment in Finland
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Tikkanen, Juhana, Nieminen, Teija, Lassus, Patrik, Tenhunen, Mikko, Lehtonen, Lasse, and Mäkitie, Antti
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- 2023
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38. DeepSpace: Dynamic Spatial and Source Cue Based Source Separation for Dialog Enhancement
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Master, Aaron, Lu, Lie, Samuelsson, Jonas, Lehtonen, Heidi-Maria, Norcross, Scott, Swedlow, Nathan, and Howard, Audrey
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Electrical Engineering and Systems Science - Audio and Speech Processing ,Computer Science - Sound - Abstract
Dialog Enhancement (DE) is a feature which allows a user to increase the level of dialog in TV or movie content relative to non-dialog sounds. When only the original mix is available, DE is "unguided," and requires source separation. In this paper, we describe the DeepSpace system, which performs source separation using both dynamic spatial cues and source cues to support unguided DE. Its technologies include spatio-level filtering (SLF) and deep-learning based dialog classification and denoising. Using subjective listening tests, we show that DeepSpace demonstrates significantly improved overall performance relative to state-of-the-art systems available for testing. We explore the feasibility of using existing automated metrics to evaluate unguided DE systems., Comment: 5 pages, 4 figures. To be published in ICASSP 2023
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- 2023
39. Genome-wide somatic mutation analysis of sinonasal adenocarcinoma with and without wood dust exposure
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Lauri J. Sipilä, Riku Katainen, Mervi Aavikko, Janne Ravantti, Iikki Donner, Rainer Lehtonen, Ilmo Leivo, Henrik Wolff, Reetta Holmila, Kirsti Husgafvel-Pursiainen, and Lauri A. Aaltonen
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Cancer ,Sinonasal adenocarcinoma ,Environmental exposure ,Wood dust ,Tobacco ,Occupational health ,Ecology ,QH540-549.5 ,Genetics ,QH426-470 - Abstract
Abstract Background Sinonasal adenocarcinoma is a rare cancer, encompassing two different entities, the intestinal-type sinonasal adenocarcinoma (ITAC) and the non-intestinal-type sinonasal adenocarcinoma (non-ITAC). Occurrence of ITAC is strongly associated with exposure to hardwood dusts. In countries with predominant exposure to softwood dust the occurrence of sinonasal adenocarcinomas is lower and the relative amount of non-ITACs to ITACs is higher. The molecular mechanisms behind the tumorigenic effects of wood dust remain largely unknown. Methods We carried out whole-genome sequencing of formalin-fixed paraffin-embedded (FFPE) samples of sinonasal adenocarcinomas from ten wood dust-exposed and six non-exposed individuals, with partial tobacco exposure data. Sequences were analyzed for the presence of mutational signatures matching COSMIC database signatures. Driver mutations and CN variant regions were characterized. Results Mutation burden was higher in samples of wood dust-exposed patients (p = 0.016). Reactive oxygen species (ROS) damage-related mutational signatures were almost exclusively identified in ITAC subtype samples (p = 0.00055). Tobacco smoke mutational signatures were observed in samples of patients with tobacco exposure or missing information, but not in samples from non-exposed patients. A tetraploidy copy number (CN) signature was enriched in ITAC subtype (p = 0.042). CN variation included recurrent gains in COSMIC Cancer Gene Census genes TERT, SDHA, RAC1, ETV1, PCM1, and MYC. Pathogenic variants were observed most frequently in TP53, NF1, CHD2, BRAF, APC, and LRP1B. Driver mutations and copy number gains did not segregate by subtype. Conclusions Our analysis identified distinct mutational characteristics in ITAC and non-ITAC. Mutational signature analysis may eventually become useful for documentation of occupation-related cancer, while the exact mechanisms behind wood dust-driven carcinogenesis remain elusive. The presence of homologous recombination deficiency signatures implies a novel opportunity for treatment, but further studies are needed.
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- 2024
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40. A new technique for fault diagnosis in transformer insulating oil based on infrared spectroscopy measurements
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Mohamed M. F. Darwish, Mohamed H. A. Hassan, Nagat M. K. Abdel‐Gawad, Matti Lehtonen, and Diaa‐Eldin A. Mansour
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Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 ,Electricity ,QC501-721 - Abstract
Abstract Condition monitoring of the insulating system within power transformers has a massive importance according to the electrical utilities. Dissolved gas analysis (DGA) is frequently used for this purpose. However, DGA lacks the necessary level of accuracy to identify all equipment faults, particularly in their initial stages of degradation. Also, it does not have the capability for real‐time monitoring and relies on manual sampling and laboratory testing, causing potential delays in fault identification. Additionally, the interpretation of DGA data necessitates specialised expertise, which may pose difficulties for smaller entities that have limited access to resources. Therefore, the contribution of this research is to use infrared spectroscopy measurements as a new effective technique substituting the DGA method for fault diagnosis in insulating oil. The inception faults that were considered in this study were the electrical fault (discharges of high energy) and the thermal fault (300°C
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- 2024
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41. A review of electric vehicle hosting capacity quantification and improvement techniques for distribution networks
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Samar Fatima, Verner Püvi, Matti Lehtonen, and Mahdi Pourakbari‐Kasmaei
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distribution networks ,electric vehicle charging ,power system stability ,vehicle‐to‐grid ,Distribution or transmission of electric power ,TK3001-3521 ,Production of electric energy or power. Powerplants. Central stations ,TK1001-1841 - Abstract
Abstract The electrification of the transport sector to control the carbon footprint has been gaining momentum over the last decade with electric vehicles (EVs) seen as the replacement for conventional internal combustion engines. Economic incentives, subsidies, and tax exemptions are also paving the way for rising EV penetration in the power distribution networks. However, the exponential EV adoption requires careful technical and regulatory analysis of traditional networks to satisfy the network reliability constraints. Therefore, it would be vital to find EV hosting capacity (HC) limits of networks from a multifaceted approach involving various market players, mainly distribution system operators and EV owners. This review provides a systematic categorization of EV hosting capacity evaluation and improvement methods, thus enabling researchers and industry personnel to navigate the advancing landscape of EVs. This novel framework extends beyond the theoretical implication of diverse objective functions and HC improvement methods to the actual numerical values of EV HC across varying geographical settings. Therefore, this unique synthesis of varying aspects of EV HC facilitates the in‐depth understanding of the integration of sustainable energy and transport sector.
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- 2024
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42. Machine learning based hosting capacity determination methodology for low voltage distribution networks
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Naveed Qammar, Ammar Arshad, Robert John Miller, Karar Mahmoud, and Matti Lehtonen
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distributed power generation ,distribution planning and operation ,Distribution or transmission of electric power ,TK3001-3521 ,Production of electric energy or power. Powerplants. Central stations ,TK1001-1841 - Abstract
Abstract For the past few years, the addition of renewable energy sources has been on the rise, but the unregulated addition of these sources can cause severe harm to the grid. Therefore, it is necessary to have a predefined limit for a grid, beyond which no further addition of renewables should be allowed without reinforcement. That limit is called the hosting capacity (HC), which is addressed in the literature by search‐based methods with heavy computational burdens. This manuscript first presents a framework to find the HC for a grid. The same framework is then applied to 503 different simulated but realistic LV distribution feeders in Finland to find their HCs and the most effective network parameters in defining a network specific HC. Next, different machine learning models, that is, Decision Tree (DT), Random Forest (RF), Linear Regression (LR), K nearest neighbours (KNN), Logistic Regression, and Support Vector Machine (SVM) are implemented on the generated data. For the classification case, the accuracy values for logistic regression, KNN, and SVM were 0.89, 0.84, and 0.81, respectively. The findings demonstrate that the developed machine learning based technique will enable distribution network operators in finding the HC without applying any deterministic or probabilistic approaches.
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- 2024
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43. Playful Absence/Absence of Play: Rethinking the Design Studio in Online Environments
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Lehtonen, Miikka J., Khamisani, Noorin, and Gatto, Gionata
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While the pandemic has had a tremendous negative impact on societies, it has nonetheless provided us with a sort of living lab for investigating and exposing consolidated models of design education. The design studio, often conceptualized as a spatio-temporally inhabited milieu with translocal norms and conventions, became a blended environment where students and instructors alike had to establish new conventions and ways of knowing and inquiring. Employing Sicart's notions of play and playfulness as our theoretical lens, this paper argues how online learning has opened up a space for students and instructors to blur the boundaries of the design studio through the intersection of play and absence. Absence of things gives rise to being playful, and absence of play is required to sustain collaborative play. Through student interviews and our personal reflections, our findings reveal how play spatio-temporally fragments the design studio. In the absence of pre-existing conventions, play negotiates the boundaries of the design studio. Moreover, creating the virtual design studio can be understood as an emergent act of play; by being playful, we partly leave behind the norms and assumptions of the physical design studio to create something new. In addition, and paradoxically, creating a personalized and community-based way of being helped in seeing the immediate surroundings as the studio. Here, creating new methods for working in the studio playfully created boundaries for play. Theoretical and pedagogical implications shed light on the future of design studio and education as spaces that can be collaboratively enacted.
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- 2021
44. Thrombosis risk in single- and double-heterozygous carriers of factor V Leiden and prothrombin G20210A in FinnGen and the UK Biobank
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Palotie, Aarno, Daly, Mark, Riley-Gills, Bridget, Jacob, Howard, Viollet, Coralie, Petrovski, Slavé, Chen, Chia-Yen, John, Sally, Okafo, George, Plenge, Robert, Maranville, Joseph, McCarthy, Mark, Pendergrass, Rion, Ehm, Margaret G., Auro, Kirsi, Longerich, Simonne, Mälarstig, Anders, Vlahiotis, Anna, Klinger, Katherine, Chatelain, Clement, Gossel, Matthias, Estrada, Karol, Graham, Robert, Waterworth, Dawn, O´Donnell, Chris, Renaud, Nicole, Mäkelä, Tomi P., Kaprio, Jaakko, Ruddock, Minna, Virolainen, Petri, Hakanen, Antti, Kilpi, Terhi, Perola, Markus, Partanen, Jukka, Raivio, Taneli, Tikkanen, Jani, Serpi, Raisa, Kristiansson, Kati, Kosma, Veli-Matti, Laukkanen, Jari, Hautalahti, Marco, Tuovila, Outi, Waring, Jeffrey, Riley-Gillis, Bridget, Rahimov, Fedik, Tachmazidou, Ioanna, Ding, Zhihao, Jung, Marc, Tuoken, Hanati, Biswas, Shameek, Pulford, David, Raghavan, Neha, Huertas-Vazquez, Adriana, Sul, Jae-Hoon, Hu, Xinli, Hedman, Åsa, Obeidat, Ma´en, Chung, Jonathan, Zierer, Jonas, Niemi, Mari, Ripatti, Samuli, Schleutker, Johanna, Arvas, Mikko, Carpén, Olli, Hinttala, Reetta, Kettunen, Johannes, Mannermaa, Arto, Aalto-Setälä, Katriina, Kähönen, Mika, Mäkelä, Johanna, Kälviäinen, Reetta, Julkunen, Valtteri, Soininen, Hilkka, Remes, Anne, Hiltunen, Mikko, Peltola, Jukka, Raivio, Minna, Tienari, Pentti, Rinne, Juha, Kallionpää, Roosa, Partanen, Juulia, Ziemann, Adam, Smaoui, Nizar, Lehtonen, Anne, Eaton, Susan, Runz, Heiko, Lahdenperä, Sanni, Bowers, Natalie, Teng, Edmond, Xu, Fanli, Addis, Laura, Eicher, John, Li, Qingqin S., He, Karen, Khramtsova, Ekaterina, Färkkilä, Martti, Koskela, Jukka, Pikkarainen, Sampsa, Jussila, Airi, Kaukinen, Katri, Blomster, Timo, Kiviniemi, Mikko, Voutilainen, Markku, Lu, Tim, McCarthy, Linda, Hart, Amy, Guan, Meijian, Miller, Jason, Kalpala, Kirsi, Miller, Melissa, Eklund, Kari, Palomäki, Antti, Isomäki, Pia, Pirilä, Laura, Kaipiainen-Seppänen, Oili, Huhtakangas, Johanna, Mars, Nina, Lertratanakul, Apinya, Hochfeld, Marla, Gordillo, Jorge Esparza, Farias, Fabiana, Bing, Nan, Laitinen, Tarja, Pelkonen, Margit, Kauppi, Paula, Kankaanranta, Hannu, Harju, Terttu, Lahesmaa, Riitta, Chen, Hubert, Betts, Joanna, Mishra, Rajashree, Mouded, Majd, Ngo, Debby, Niiranen, Teemu, Vaura, Felix, Salomaa, Veikko, Metsärinne, Kaj, Aittokallio, Jenni, Hernesniemi, Jussi, Gordin, Daniel, Sinisalo, Juha, Taskinen, Marja-Riitta, Tuomi, Tiinamaija, Hiltunen, Timo, Elliott, Amanda, Reeve, Mary Pat, Ruotsalainen, Sanni, Paul, Dirk, Chu, Audrey, Reilly, Dermot, Mendelson, Mike, Parkkinen, Jaakko, Meretoja, Tuomo, Joensuu, Heikki, Mattson, Johanna, Salminen, Eveliina, Auranen, Annika, Karihtala, Peeter, Auvinen, Päivi, Elenius, Klaus, Pitkänen, Esa, Popovic, Relja, Fabre, Margarete, Schutzman, Jennifer, Kulkarni, Diptee, Porello, Alessandro, Loboda, Andrey, Lehtonen, Heli, McDonough, Stefan, Vuoti, Sauli, Kaarniranta, Kai, Turunen, Joni A., Ollila, Terhi, Uusitalo, Hannu, Karjalainen, Juha, Liu, Mengzhen, Loomis, Stephanie, Strauss, Erich, Chen, Hao, Tasanen, Kaisa, Huilaja, Laura, Hannula-Jouppi, Katariina, Salmi, Teea, Peltonen, Sirkku, Koulu, Leena, Choy, David, Wu, Ying, Pussinen, Pirkko, Salminen, Aino, Salo, Tuula, Rice, David, Nieminen, Pekka, Palotie, Ulla, Siponen, Maria, Suominen, Liisa, Mäntylä, Päivi, Gursoy, Ulvi, Anttonen, Vuokko, Sipilä, Kirsi, Laivuori, Hannele, Kurra, Venla, Kotaniemi-Talonen, Laura, Heikinheimo, Oskari, Kalliala, Ilkka, Aaltonen, Lauri, Jokimaa, Varpu, Vääräsmäki, Marja, Uimari, Outi, Morin-Papunen, Laure, Niinimäki, Maarit, Piltonen, Terhi, Kivinen, Katja, Widen, Elisabeth, Tukiainen, Taru, Välimäki, Niko, Laakkonen, Eija, Tyrmi, Jaakko, Silven, Heidi, Sliz, Eeva, Arffman, Riikka, Savukoski, Susanna, Laisk, Triin, Pujol, Natalia, Kumar, Janet, Hovatta, Iiris, Isometsä, Erkki, Ollila, Hanna, Suvisaari, Jaana, Mäkitie, Antti, Bizaki-Vallaskangas, Argyro, Toppila-Salmi, Sanna, Willberg, Tytti, Saarentaus, Elmo, Aarnisalo, Antti, Rahikkala, Elisa, Aittomäki, Kristiina, Åberg, Fredrik, Kurki, Mitja, Havulinna, Aki, Mehtonen, Juha, Palta, Priit, Hassan, Shabbeer, Della Briotta Parolo, Pietro, Zhou, Wei, Maasha, Mutaamba, Lemmelä, Susanna, Rivas, Manuel, Liu, Aoxing, Lehisto, Arto, Ganna, Andrea, Llorens, Vincent, Heyne, Henrike, Rämö, Joel, Rodosthenous, Rodos, Strausz, Satu, Palotie, Tuula, Palin, Kimmo, Garcia-Tabuenca, Javier, Siirtola, Harri, Kiiskinen, Tuomo, Lee, Jiwoo, Tsuo, Kristin, Hyvärinen, Kati, Ritari, Jarmo, Pylkäs, Katri, Karjalainen, Minna, Mantere, Tuomo, Kangasniemi, Eeva, Heikkinen, Sami, Pitkänen, Nina, Lessard, Samuel, Chatelain, Clément, Kallio, Lila, Wahlfors, Tiina, Punkka, Eero, Siltanen, Sanna, Kuopio, Teijo, Jalanko, Anu, Shen, Huei-Yi, Kajanne, Risto, Aavikko, Mervi, Cooper, Helen, Öller, Denise, Leinonen, Rasko, Palin, Henna, Linna, Malla-Maria, Kanai, Masahiro, Zheng, Zhili, Lahtela, L. Elisa, Kaunisto, Mari, Kilpeläinen, Elina, Sipilä, Timo P., Dada, Oluwaseun Alexander, Ghazal, Awaisa, Kytölä, Anastasia, Weldatsadik, Rigbe, Donner, Kati, Loukola, Anu, Laiho, Päivi, Sistonen, Tuuli, Kaiharju, Essi, Laukkanen, Markku, Järvensivu, Elina, Lähteenmäki, Sini, Männikkö, Lotta, Wong, Regis, Toivola, Auli, Brunfeldt, Minna, Mattsson, Hannele, Koskelainen, Sami, Hiekkalinna, Tero, Paajanen, Teemu, Luo, Shuang, Padmanabhuni, Shanmukha Sampath, Niemi, Marianna, Gracia-Tabuenca, Javier, Helminen, Mika, Luukkaala, Tiina, Vähätalo, Iida, Tammerluoto, Jyrki, Smith, Sarah, Southerington, Tom, Lehto, Petri, Ryu, Justine, Rämö, Joel T., Jurgens, Sean J., Sanna-Cherchi, Simone, Bauer, Kenneth A., Haj, Amelia, Choi, Seung Hoan, Ellinor, Patrick T., and Bendapudi, Pavan K.
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- 2024
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45. Participatory budgeting in reshaping public budgeting: evidence from Finland,1 Poland,2 and the US
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Sinervo, Lotta-Maria, primary, Lehtonen, Pauliina, additional, Radzik-Maruszak, Katarzyna, additional, and Ebdon, Carol, additional
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- 2024
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46. Quantum-Safe Communication Research in Finland
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Vallivaara, Visa, primary, Lehtonen, Sami, additional, Latvala, Outi-Marja, additional, Lintulampi, Anssi, additional, Karinsalo, Anni, additional, Muurman, Mari, additional, Nikula, Sara, additional, and Savola, Reijo, additional
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- 2024
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47. Globalisation and Cultural Diversity in the Finnish School Curriculum
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Lehtonen, Tommi, primary
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- 2024
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48. Inattentive in social, active in mind: VR-based design intervention for imagining desirable possibilities in the public space
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Wu, Yiying and Lehtonen, Miikka J.
- Subjects
Computer Science - Human-Computer Interaction - Abstract
The metro as a form of public transportation is an important urban infrastructure that takes a large population from place A to B every day. To achieve that, it is primarily designed for extreme functionality and efficiency. However, in terms of experiential aesthetics, the metro is seldom people s favourite place. When this modern infrastructure succeeds in serving urban mobility with high performance and efficiency, passengers seem to want more than the guaranteed functional performance. Recently, with the emergence of VR technologies, increasing efforts from design and HCI communities look at the value of VR technology in enhancing commuting experiences, bringing new possibilities of interaction and activities, and potentially transforming social public spaces. This study investigates how and why VR technology could be integrated with a metro ride. We experimented with ten passengers by showing them three 360 videos during their metro ride. The results show the narrative driven scene is most desirable. Despite wearing a VR headset might cause anxiety, our findings indicate a high level of acceptance towards VR experiences based on the finding that it does not challenge the normative behaviours of being a passenger inattentive in social, active in mind and further can enhance the experience. As the takeaway, we propose three strategies of VR content tailored for the metro context in which passengers would find a role participating in the virtual scene and turn the scene to one s own story, and at the same time, maintain physically constrained., Comment: IASDR conference 2021
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- 2022
49. Associative-commutative spectra for some varieties of groupoids
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Jia Huang and Erkko Lehtonen
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associative-commutative spectrum ,associative spectrum ,binary operation ,tree ,3-element groupoid ,Mathematics ,QA1-939 - Published
- 2024
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50. 30-Year Trends in the Incidence, Characteristics, and Outcome of Cardiac Sarcoidosis in a Nationwide Cohort
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Pauli Pöyhönen, MD, MSc, Jukka Lehtonen, MD, Diana Velikanova, MD, Piia Simonen, MD, Valtteri Uusitalo, MD, Henriikka Mälkönen, MD, Hanna-Kaisa Nordenswan, MD, Tapani Vihinen, MD, Kari Kaikkonen, MD, Petri Haataja, MD, Tuomas Kerola, MD, Tuomas T. Rissanen, MD, Ville Vepsäläinen, MD, Aleksi Alatalo, MD, Päivi Pietilä-Effati, MD, and Markku Kupari, MD
- Subjects
cardiac sarcoidosis ,diagnostic imaging ,incidence ,phenotype ,prognosis ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 ,Medical emergencies. Critical care. Intensive care. First aid ,RC86-88.9 - Abstract
Background: Cardiac sarcoidosis (CS) is a rare but potentially fatal inflammatory cardiomyopathy. Objectives: The authors studied temporal changes in the incidence, characteristics, and outcome of CS. Methods: A retrospective analysis was made of a 30-year nationwide cohort of CS. Results: The cohort comprised 511 patients with a median age of 52 years and female preponderance (69%). Altogether 77, 166, and 268 cases of CS were diagnosed in years 1988 to 2009, 2010 to 2014, and 2015 to 2019, respectively; the 5-year count of 2015 to 2019 was 134-fold the count of 1990 to 1994 (268/2) and 18-fold the count of 2000 to 2004 (268/15). Prior to 2010, compared with the later periods, CS presented more often with ventricular tachycardia/fibrillation (prevalence 36% vs 19% in 2010-2014 and 11% in 2015-2019, P
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- 2024
- Full Text
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