Search

Introduction: Timely, complete and accurate patient data is needed in care decisions along the continuum of care. To access patient data from other organizations, there are three types of regional health information exchange systems (RHIS) in use In Finland. Some regions use multiple RHISs while others do not have a RHIS available. The recently introduced National Patient Data Repository (Kanta) is increasingly used for health information exchange (HIE)., Objectives: The purpose of this study was to assess usage of paper, RHISs and Kanta by context in 2017; evolution of paper use over the years; and predictors of paper use in 2017 among Finnish physicians for HIE system development., Methods: Data from national electronic health record (EHR) usage and user experience surveys were taken from 2010 (prior to ePrescription system implementation), 2014 (prior to implementation of Kanta) and 2017 (Kanta was in full use in the public sector and in large private organizations). The web-based surveys were targeted to all physicians engaged in clinical work in Finland., Results: Kanta was the most frequently used means of HIE in 2017. Paper use had reduced significantly from 2010 to 2014. The trend continued in 2017. Still, up to half of the physicians reported using paper daily or weekly in 2017. There were great variations in paper use by healthcare sector, available RHIS type and EHR system used. In multivariable analysis (with all other variables constant), predictors of more frequent use of paper than electronic means for HIE were: private sector or hospital, access to Master Patient Index RHIS (type 1), multiple RHIS (type 4) or no RHIS (type 5), two particular EHR systems, older age, less experience, operative, psychiatric or diagnostic specialties, and male gender., Conclusions: Usability of HIE systems including EHRs as access points to HIE need to be improved to facilitate usage of electronic HIE. Usage ensures more timely and complete patient data for safe, coordinated care. Specialty-specific needs and requirements call for more user participation in HIE design. Especially older professionals need training to better exploit HIS for HIE., (Copyright © 2018 Elsevier B.V. All rights reserved.)

The emphasis of this paper is on the importance of teaching teacher preparation courses, specifically educational psychology, through a study abroad trip to Finland. This experience allowed American preservice teachers to see theories applied in an international setting while also allowing preservice teachers to compare the United States education system to the Finnish educational system. The current study includes sixteen female, preservice teachers' perceptions of the trip. Development of the activities abroad occurred with a Finnish university and included multiple school visits, panel discussions, and guest lectures. These experiences allowed for full immersion in the Finnish education system. The data include observations, student papers, and student survey responses, which present changes in students' views of education, views of the Finnish education system, and the application of theories in a real-world setting. This experience not only provided preservice teachers with an opportunity to see one of the best educational systems in the world but also pushed the preservice teachers to rethink how teaching and learning can look in a classroom.

Introduction: Decreasing participation levels in health surveys pose a threat to the validity of estimates intended to be representative of their target population. If participants and non-participants differ systematically, the results may be biased. The application of traditional non-response adjustment methods, such as weighting, can fail to correct for such biases, as estimates are typically based on the sociodemographic information available. Therefore, a dedicated methodology to infer on non-participants offers advancement by employing survey data linked to administrative health records, with reference to data on the general population. We aim to validate such a methodology in a register-based setting, where individual-level data on participants and non-participants are available, taking alcohol consumption estimation as the exemplar focus., Methods and Analysis: We made use of the selected sample of the Health 2000 survey conducted in Finland and a separate register-based sample of the contemporaneous population, with follow-up until 2012. Finland has nationally representative administrative and health registers available for individual-level record linkage to the Health 2000 survey participants and invited non-participants, and the population sample. By comparing the population sample and the participants, synthetic observations representing the non-participants may be generated, as per the developed methodology. We can compare the distribution of the synthetic non-participants with the true distribution from the register data. Multiple imputation was then used to estimate alcohol consumption based on both the actual and synthetic data for non-participants, and the estimates can be compared to evaluate the methodology's performance., Ethics and Dissemination: Ethical approval and access to the Health 2000 survey data and data from administrative and health registers have been given by the Health 2000 Scientific Advisory Board, Statistics Finland and the National Institute for Health and Welfare. The outputs will include two publications in public health and statistical methodology journals and conference presentations., Competing Interests: Competing interests: AHL reports grants from the Medical Research Council and the Chief Scientist Office during the conduct of the study., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ.)

Copyright of ZARCH: Journal of Interdisciplinary Studies in Architecture & Urbanism is the property of Universidad de Zaragoza and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: Health policy papers disseminate recommendations and guidelines for the development and implementation of health promotion interventions. Such documents have rarely been investigated with regard to their assumed mechanisms of action for changing behaviour. The Theoretical Domains Framework (TDF) and Behaviour Change Techniques (BCT) Taxonomy have been used to code behaviour change intervention descriptions, but to our knowledge such "retrofitting" of policy papers has not previously been reported. This study aims first to identify targets, mediators, and change strategies for physical activity (PA) and nutrition behaviour change in Finnish policy papers on workplace health promotion, and second to assess the suitability of the Behaviour Change Wheel (BCW) approach for this purpose., Method: We searched all national-level health policy papers effectual in Finland in August 2016 focusing on the promotion of PA and/or healthy nutrition in the workplace context (n = 6). Policy recommendations targeting employees' nutrition and PA including sedentary behaviour (SB) were coded using BCW, TDF, and BCT Taxonomy., Results: A total of 125 recommendations were coded in the six policy papers, and in two additional documents referenced by them. Psychological capability, physical opportunity, and social opportunity were frequently identified (22%, 31%, and 24%, respectively), whereas physical capability was almost completely absent (1%). Three TDF domains (knowledge, skills, and social influence) were observed in all papers. Multiple intervention functions and BCTs were identified in all papers but several recommendations were too vague to be coded reliably. Influencing individuals (46%) and changing the physical environment (44%) were recommended more frequently than influencing the social environment (10%)., Conclusions: The BCW approach appeared to be useful for analysing the content of health policy papers. Paying more attention to underlying assumptions regarding behavioural change processes may help to identify neglected aspects in current policy, and to develop interventions based on recommendations, thus helping to increase the impact of policy papers.

The article discusses the impact of economic recession to the restructuring activities of the paper industry in Finland. It examines the effect of restructuring process in the industry which lead to the reduction of staff and production of paper. It cites the increase risk of stress and less work enjoyment that could damage the employee well-being.

Green bonds are relatively new in the financial market compared to other financial securities but are useful in financing environmentally friendly projects. Just like other financial securities, green bonds are affected by various factors, such as economic policy uncertainty. Our aim of this paper was to conduct a systematic literature review of the impact of economic policy uncertainty on green bonds. We sought to do a thorough analysis of the existing literature on the assessment of the impact of economic policy uncertainty on green bonds and the techniques used in assessing the impact. Our findings showed that economic policy uncertainty had a strong impact on the green bond, with its intensity varying by location. This impact tended to be more pronounced in periods of heightened uncertainty. Also, our findings highlighted that the assessment of the impact of economic policy uncertainty on green bonds gained popularity in 2019, with China emerging as a prominent contributor. However, other countries, such as Finland, even though they had few published papers, their citations signified the production of quality papers in this field. Additionally, we found that the application of the quantile analysis method was utilized by many recent studies, which signified its importance in this field. Our findings highlighted the importance of considering appropriate techniques in assessing the impact of economic policy uncertainty on green bonds while taking into account the paper quality. [ABSTRACT FROM AUTHOR]

Total hip arthroplasty is indubitably one of the most performed operations worldwide. On the other hand, especially in the western world, the average age that women get pregnant has raised confoundedly. Consequently, a steadily increasing number of women become pregnant after they had hip arthroplasty surgery, with copious potential implications. The amount of knowledge on this particular field is considered inadequate in the existing literature. This paper aims to augment clinicians understanding surrounding this topic. A systematic literature review was conducted in accordance with the PRISMA guidelines. Papers from various computerized databases were scrutinized. Article selection was carried out by three authors independently employing specific pre-determined inclusion and exclusion criteria, while disagreements were elucidated with the contribution of other authors. A patently limited number of research articles were detected from our rigorous literature review, with only 12 papers meeting the inclusion criteria. The vast majority of studies were small-scale and examined confined population groups. Most studies had been performed in Finland, utilizing data from nationwide registries. Women with previous history of total hip arthroplasty feature increased rates of c-section delivery, although vaginal labor can be attempted with certain precautions. Hip implants' survival does not appear to be affected from gestation, which is predominately well-tolerated from these women. Metal ion circulation in mothers' blood has not been proven to trigger substantial complications concerning either mothers or offspring. It can be considered safe for women with such medical history to get pregnant; however, further multinational studies and pertinent research on this field are vital to attain more solid inferences. [ABSTRACT FROM AUTHOR]

This paper focuses on the uncertainty and resentment that many persons with disabilities feel concerning their disability services in the welfare state of Finland. This paper elaborates on the theme through the lived citizenship of persons with disabilities using the key theory of disability tax as an analytical tool. The empirical data were collected through an online survey (n = 541) and six group interviews (n = 41) of persons with disabilities in 2023. The disability tax experiences are elaborated through four aspects: (1) rejected applications, (2) uncertain realisation, (3) laborious complaint mechanisms, and (4) the psycho–emotional effect. The findings of this study establish collective experiences of multi-layered disability tax throughout the disability services process. It concludes that disability services, which were originally planned to specifically ensure equal opportunities to participate in society for persons with disabilities, are increasingly becoming the very sources of burden as austerity has silently grown deeper over recent years and has become the clear policy of the current government. [ABSTRACT FROM AUTHOR]

Background: During dental procedures, critical parameters, such as cooling condition, speed of the rotary dental turbine (handpiece), and distance and angle from pollution sources, were evaluated for transmission risk of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), simulated by spiking in a plasmid encoding a modified viral spike protein, HexaPro (S6P), in droplets and aerosols. Methods: To simulate routine operation in dental clinics, dental procedures were conducted on a dental manikin within a digital dental unit, incorporating different dental handpiece speeds and cooling conditions. The tooth model was immersed in Coomassie brilliant blue dye and was pre-coated with 100 μL water spiked-in with S6P-encoding plasmid. Furthermore, the manikin was surrounded by filter papers and Petri dishes positioned at different distances and angles. Subsequently, the filter papers and Petri dishes were collected to evaluate the aerosol splash points and the viral load of S6P-encoding plasmid in aerosols and splatters generated during the dental procedure. Results: Aerosol splashing generated a localized pollution area extended up to 60 cm, with heightened contamination risks concentrated within a 30 cm radius. Significant differences in aerosol splash points and viral load by different turbine handpiece speeds under any cooling condition (P < 0.05) were detected. The highest level of aerosol splash points and viral load were observed when the handpiece speed was set at 40,000 rpm. Conversely, the lowest level of aerosol splash point and viral load were found at a handpiece speed of 10,000 rpm. Moreover, the aerosol splash points with higher viral load were more prominent in the positions of the operator and assistant compared to other positions. Additionally, the position of the operator exhibited the highest viral load among all positions. Conclusions: To minimize the spread of aerosol and virus in clinics, dentists are supposed to adopt the minimal viable speed of a dental handpiece with limited cooling water during dental procedures. In addition, comprehensive personal protective equipment is necessary for both dental providers and dental assistants. [ABSTRACT FROM AUTHOR]

This paper presents the Archaeological Artefact Database of Finland (AADA) of prehistoric (covering period of almost 11,000 years) artefacts in Finland that are categorised by type and are accompanied with photos of the artefacts. The database is intended to contain all typologically classifiable prehistoric artefacts found in Finland and held in Finnish collections. This dataset provides spatio-temporal context for artefacts across different time periods and regions, as it includes approximately 38,000 single artefacts and approximately 10,000 pottery type identifications from the Early Mesolithic to the end of the Iron Age in Finland (c. 8900 calBC - 1300/1500 calAD). In addition, the artefacts are given period-based (subperiod) dating to allow their chronological affiliation. To facilitate data usage, we also offer an R-script to replicate the data visualisation provided in this paper and a Python script to merge the artefact information to the pictures. We further work towards an interactive user interface for data download and visualization. [ABSTRACT FROM AUTHOR]

In this paper, the constructions of historical personal identity of Finnish-speaking students are analysed. The students participated in a larger study of historical narratives and identities, carried out in 2020 in two schools in Finland and in one European School outside Finland. In the mixed-method study, sixty-one students were interviewed and given writing and drawing assignments on historical identity. In this paper, the students' visual representations of their personal historical identity and its relationship with wider official history are analysed. The aim is to increase understanding of how 14–16-year-old students visualise and articulate their historical personal identity constructions and the historical elements they use in negotiating this identity. The findings suggest that the students integrate personal and historical social narratives in diverse ways but that the majority of them find it challenging to connect their personal family history with the wider official history. Only twelve students made the connection. In addition to presenting the results for the whole group of students, the visual representations of two selected students are discussed in more detail so as to highlight the difference in the approaches to historical personal identity construction among the students. [ABSTRACT FROM AUTHOR]

This paper analyzes stakeholder engagement in educational policymaking in Singapore and Finland, two countries renowned for successful education systems. While both countries achieve high academic standards, they employ distinct approaches to engage stakeholders in shaping educational policies. Singapore adopts a centralized model where policymaking is primarily directed by the Ministry of Education (MOE), with limited participation from external stakeholders. In contrast, Finland adopts a decentralized approach, empowering local authorities and schools with significant autonomy and actively involving stakeholders in policymaking. Key stakeholders, including teachers, parents, students and the private sector, play different roles in each country's education governance. In Singapore, stakeholders are consulted through formal channels but have limited influence on decision-making, whereas, in Finland, stakeholders actively steer fundamental policy directions through extensive participation and consensus-building. The paper highlights the strengths and weaknesses of each approach and their impacts on education outcomes. Despite differences in governance models, both countries prioritize inclusive education, social cohesion, and holistic development. The analysis underscores the importance of meaningful stakeholder engagement in crafting effective education policies that align with national values and visions. [ABSTRACT FROM AUTHOR]

The retrieval of continuous snow water equivalent (SWE) directly from passive microwave observations is hampered by ambiguity, which can potentially be mitigated by incorporating knowledge on snow hydrological processes. In this paper, we present a data assimilation (DA)-based SWE retrieval framework coupling the QCA-Mie scattering (DMRT-QMS) model (a dense medium radiative transfer (RT) microwave scattering model) and a one-dimensional column-based multiple-layer snow hydrology model. The snow hydrology model provides realistic estimates of the snowpack physical parameters required to drive the DMRT-QMS model. This paper devises a strategy to specify those internal parameters in the snow hydrology and RT models that lack observational records. The modeled snow depth is updated by assimilating brightness temperatures (Tbs) from the X, Ku, and Ka bands using an ensemble Kalman filter (EnKF). The updated snow depth is then used to predict the SWE. The proposed framework was tested using the European Space Agency's Nordic Snow Radar Experiment (ESA NoSREx) dataset for a snow field experiment from 2009 to 2012 in Sodankylä, Finland. The achieved SWE retrieval root mean square error of 34.31 mm meets the requirements of NASA and ESA snow missions and is about 70% less than the open-loop SWE. In summary, this paper introduces a novel SWE retrieval framework that leverages the combined strengths of a snow hydrology model and a radiative transfer model. This approach ensures physically realistic retrievals of snow depth and SWE. We investigated the impact of various factors on the framework's performance, including observation time intervals and combinations of microwave observation channels. Our results demonstrate that a one-week observation interval achieves acceptable retrieval accuracy. Furthermore, the use of multi-channel and multi-polarization Tbs is preferred for optimal SWE retrieval performance. [ABSTRACT FROM AUTHOR]

The European Union has set strict recycling targets for municipal solid wastes, but the implementation of circularity is still hindered by a variety of present set-ups. This paper addresses the recycling transitions and their complex nature in Austria, Sweden and Finland and points out the differences that are connected to the level of success in recycling. Furthermore, this study identifies present lock-ins in the waste management regime to provide an understanding on the factors preventing further development towards a recycling society. This is done by analysing different waste policy documents and interviews of national waste experts. The study employs the multilevel perspective (MLP) framework that is a commonly used approach in sustainability transitions research. The results highlight the variety of social, political, technical and economic elements, but also the connections between them that result in a stable regime. The pathways to achieve the recycling society differ between Austria, Sweden and Finland. National waste policy, the division of responsibilities, the variety of infrastructure and collection systems in waste management, the level of general awareness, public-private co-operation and the quality of waste data act as key characteristics that reflect the success in the recycling transition. Identified lock-ins for recycling seem to be slightly stronger in Finland compared to Austria and Sweden, while some of the lock-ins are the same in all countries, such as incineration capacity, malfunction of markets of recyclables or lack of product design for recyclability. • The pathways to a recycling society differ between Austria, Sweden and Finland. • Pressure for recycling has been explicit in Austria at the landscape level. • There are more identified lock-ins in Finland compared to other countries. • Clear responsibilities, a variety of practices, public awareness and quality of data reflect success. • Bottom-up approaches could be utilised in solving the frictions between public and private actors. [ABSTRACT FROM AUTHOR]

Hydrogen is a versatile feedstock for various chemical and industrial processes, as well as an energy carrier. Dedicated hydrogen infrastructure is envisioned to conceptualize in hydrogen valleys, which link together the suppliers and consumers of hydrogen, heat, oxygen, and electricity. One potential hydrogen valley is the Bay of Bothnia, located in the northern part of the Baltic Sea between Finland and Sweden. The region is characterized as having excellent wind power potential, a strong forest cluster with numerous pulp and paper mills, and significant iron ore and steel production. The study investigates the hydrogen-related opportunities in the region, focusing on infrastructural requirements, flexibility, and co-operation of different sectors. The study found that local wind power capacity is rapidly increasing and will eventually enable the decarbonization of the steel sector in the area, along with moderate Power-to-X implementation. In such case, the heat obtained as a by-product from the electrolysis of hydrogen would greatly exceed the combined district heat demand of the major cities in the area. To completely fulfil its district heat demand, the city of Oulu was simulated to require 0.5–1.2 GW of electrolyser capacity, supported by heat pumps and optionally with heat storages. [ABSTRACT FROM AUTHOR]

GeoAI combines artificial intelligence (AI) with geospatial data, science, and technologies. In this paper, a successful case in utilizing GeoAI to improve the data quality in the national topographic database (TDB) of Finland was introduced. The project employed a GeoAI model to identify buildings from the input data of true orthophotos, digital elevation model (DTM), and digital surface model (DSM). The GeoAI-derived buildings served as reference data, enabling a comparison with building polygons from the topographic database (TDB) to reveal TDB building location deviations, missing structures, and demolished buildings. Throughout the project, algorithms were developed to match the TDB building vectors to the GeoAI-derived building polygons. The challenges include i) the differences between the GeoAI-derived building outlines and the TDB build footprints; ii) the reliability of the GeoAI model across data over different environments: urban, suburban, rural, and forest areas. Throughout the project, the GeoAI model was continuously improved by training massive new datasets: corrected vectors from the model prediction. Testing was conducted on datasets from twelve areas of Finland, covering 2204 km2 and including hundreds of thousands of buildings. The test areas covered urban, suburban, rural, and forest areas. The evaluation was conducted by the mapping team in the organization. The results showed that our methods greatly enhanced the quality of the TDB building footprints. The challenges and lessons of the project were addressed in the paper. [ABSTRACT FROM AUTHOR]

Stock market indices play a central role in portfolio and risk management and performance evaluation, as well as academic research. This paper presents a fully updated and extended stock market index for the Finnish stock market using new and updated historical databases that cover the period from the establishment of the Helsinki Stock Exchange in October 1912 to the end of 1981. In addition to the all-share market index, four industry indices are presented for the first time. The observed geometric mean market return is 1.034 percent per month (13.14% p.a.). Of the industry indices, the banking sector performed the worst as it was found to have clearly lagged behind in the market, whereas the paper and forest and the metal and manufacturing industries performed the best during the sample period. The results also highlight the importance of taking into account corporate capital actions—which are, historically, often the hardest information to obtain—as they can have a material effect on the index performance. [ABSTRACT FROM AUTHOR]

European agriculture is a sector that is in a decisive moment of transformation. The transition from small farms to viable and sustainable businesses is difficult and often traumatic. One of the ways to face these changes is through the grouping of farmers creating agri-food cooperatives. This model has proven successful in Sweden or Finland but has not been developed equally in all territories. Romania is a country with no deep-rooted cooperative tradition. However, it has exciting and promising initiatives that may represent an alternative development path, especially in rural areas. This paper addresses the current situation of agri-food cooperatives in Romania, analysing its immediate past and exploring the opportunities that arise in the future through a scientific literature review. Results help to better address future actions on cooperative promotion. [ABSTRACT FROM AUTHOR]

Is it more environmentally friendly to replace an existing building with a new one or to renovate the existing property? This paper addresses how to frame and evaluate this question. Although several previous studies exist, their methods lack a harmonised set of practice. A new framework is introduced that adopts the concept of consequential replacement framework (CRF) for life cycle assessment (LCA) which had previously been applied to vehicles. The application of the CRF to buildings is demonstrated with case studies on school buildings in Finland. Three alternative cases are examined: the refurbishment of a 1950s school; extending it with an annex; and demolition and replacement with a new concrete or timber building. As the European environmental impact regulation of buildings pertains to CO2 emissions, the paper also focuses on CO2. The case studies demonstrate that refurbishment in Finland is a more climate-friendly alternative to demolition and new build. The studied new buildings' better energy efficiency is set off for decades by the carbon spike caused by the embodied CO2 in their materials. The CRF is shown to be a methodologically sound, easily approachable framework for evaluating immediate environmental consequences of decision-makers' retention or replacement choices, suitable to different contexts. [ABSTRACT FROM AUTHOR]

While a great deal of research has been conducted on implications of integrative policies targeted at migrants, later-life migrants and their relational and spatial negotiations and enactments of the policy-driven discourse of integration, and the dynamics under which it is interpreted remains understudied. Older migrants are presented as 'special cases' in the Finnish integration policy and are discussed mainly in relation to their social and health care needs. Integration is the model and aim for migrant settlements in Finland, however the aim to integrate possesses intrinsic value. Therefore, they need to make sense of what integration is for them in their everyday lives. This paper focuses on the interpretations and mundane enactments of 'integration' in a voluntary sector-organised meeting place for later-life Russian-speaking migrants in Finland. By comparing the views of different actors within the meeting place (steering group, organisers and attendees), the paper presents a nuanced understanding of the dynamics under which the later-life migrants negotiate their positions in the Finnish community of value, vis-à-vis the expectations of integration. The paper argues that 'doing integration' as a category of practice is an emergent feature in places where it is possible to negotiate integration as a lived experience. Drawing from participant observations, interviews, and applications and reports gathered in a meeting in the capital region of Finland, the paper foregrounds the lived and contested experiences of finding a sense of belonging in dialogue with the omnipresent discourse of integration. The paper concludes that the interpretations of the policy-driven discourse of integration are context-bound and negotiated in a set of relationships. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Management for Global Sustainability is the property of Ateneo de Manila University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Precise road segmentation is an essential part of many applications related to road information extraction from remote sensing data. The effect of color space on road detection has rarely been studied. In this paper, the effects of different color spaces of aerial images and multitask learning methods were experimented on road segmentation using three deep convolutional neural networks, UNet, DenseU-Net, and RoadVecNet. The color spaces included RGB, HSV, LAB, YCbCr, and YUV. The multitask learning methods adopted in this study involved utilizing multiple inputs, and multiple outputs. Multiple inputs were aerial images from the same area with different color spaces, and multiple outputs were road segmentation and road outline segmentation. As remote sensing data, National Land Survey of Finland's true orthophotos (from 2020), Massachusetts road imagery dataset, and Ottawa dataset were applied. Segmentation masks for National Land Survey of Finland's true orthophotos were extracted from Digiroad vectors with road width information. Road outline masks were generated from the segmentation masks. The studied neural networks were trained with the same data, learning rate, loss function, and optimizer for each color space, and pairs of color spaces. Multiple outputs were experimented with RGB color space. The comparative analysis assessed the performance of various neural networks across different color spaces using the F1-score metric. The experimental findings indicate that the choice of color space has little influence on the results of neural networks Deep learning methods can adapt to different color spaces well. In addition, the use of sharpening and edge enhancement augmentations had a slight effect on the results. [ABSTRACT FROM AUTHOR]

Icebreakers are a critical shared resource between Finland and Sweden required to keep the Baltic Sea clear for differing waterborne activities throughout the winter season. The safety and efficiency (both ecological and in terms of time) of the winter transport system is highly dependent on the decision-making process followed by the icebreakers. The captains in charge of the icebreakers must decide the priority of assistance among all the merchant vessels that may be in need within a given time window. While captains successfully do this every year, with experience, this decision-making becomes second nature and a transparent picture of how the decisions are made is often missing. It is not always clear what salient features captains pay attention to, and how they use those features in their reasoning process to reach a decision during operations. This paper presents a pilot study that uses cognitive task analysis (CTA) to outline captains' decision-making process for ice breaker assistance allocation. In-depth interviews of three subject matter experts were conducted using a naturalistic icebreaker scenario. Results include identified critical decision points, identified, and prioritized salient features, and characterized icebreaker assistance strategies. [ABSTRACT FROM AUTHOR]

This paper explores the relationship between nature contact, wellbeing and belonging in the resettlement experiences of young refugees in Finland. Drawing on qualitative data, including participant-made artworks and semi-structured interviews, it explores the different ways refugees encounter nature in their past, present and (imagined) future. Using a relational wellbeing approach, the paper considers how subjective, material and relational dimensions of wellbeing arise and interrelate within refugees' encounters with nature and how these encounters link with refugees' developing sense of belonging to people and places in Finland. The paper describes how, in the context of refugee resettlement, nature encounters can foster a sense of belonging in three ways: through restoration and attachment in the present, through maintaining links with the past, and through shaping desires about a future in which to thrive. Considering refugees' sense of belonging in Finland as part of the relational wellbeing generated, in part, from their encounters with nature, these three aspects of belonging represent particular interrelations between subjective, material and relational dimensions of refugees' wellbeing. [ABSTRACT FROM AUTHOR]

This paper deals with a quantitative assessment of the production efficiency of the forestry sector in EU countries, which is largely neglected in the literature. Only a few studies have been conducted so far, processing data mainly in the first half of the last decade. In contrast to these studies, in this article we focus on the period between 2016 and 2020. Therefore, the main objective of this paper is to compare the efficiency of the forest sector to fill the gap. The empirical results of this study show that the leaders in this sector are Germany, Finland, and the Czech Republic. These countries are fully efficient throughout the period under review. In contrast, Bulgaria lags far behind, with an efficiency score typically around 35%. The results of the cluster analysis show that although countries have similar characteristics, their efficiency scores are not necessarily at the same level. [ABSTRACT FROM AUTHOR]

The practical modeling and simulation use of a collaborative robot in the food production business is covered in this study. This paper's major goal is to show how modeling and simulation may be used to automate a production line. The pilot was run at a bakery manufacturing facility in Finland. Consideration was given to the current facility design and equipment when modeling and simulating the deployment of collaborative robots. The goal was to create a solution specifically for the factory. An industrial bakery production line's typical process was modeled, simulated, and robotized: 1) Filling empty trays with batter, 2) loading them into oven-ready trolleys, and 3) removing the baked cakes from the trays for the subsequent topping decoration stage and 4) final step was to palletize the packed cakes. The automation of the food production sector decreased monotonous work and idle time and increased output. As a result, the industry of food production benefits from the efficient use of heavy machinery and energy resources as a result of robotization. This paper was written based on the food industry cobot prototype being developed under Kesytek project (EU ERDF fund - A 310156). [ABSTRACT FROM AUTHOR]

The microbial diversity in oligotrophic isolated crystalline Fennoscandian Shield bedrock fracture groundwaters is great but the core community has not been identified. Here we characterized the bacterial and archaeal communities in 12 water conductive fractures situated at depths between 296 and 798m by high throughput amplicon sequencing using the Illumina HiSeq platform. The great sequencing depth revealed that up to 95 and 99% of the bacterial and archaeal communities, respectively, were composed of only a few common species, i.e. the core microbiome. However, the remaining rare microbiome contained over 3 and 6 fold more bacterial and archaeal taxa. Several clusters of co-occurring rare taxa were identified, which correlated significantly with physicochemical parameters, such as salinity, concentration of inorganic or organic carbon, sulphur, pH and depth. The metabolic properties of the microbial communities were predicted using PICRUSt. The rough prediction showed that the metabolic pathways included commonly fermentation, fatty acid oxidation, glycolysis/gluconeogenesis, oxidative phosphorylation and methanogenesis/anaerobic methane oxidation, but carbon fixation through the Calvin cycle, reductive TCA cycle and the Wood-Ljungdahl pathway was also predicted. The rare microbiome is an unlimited source of genomic functionality in all ecosystems. It may consist of remnants of microbial communities prevailing in earlier conditions on Earth, but could also be induced again if changes in their living conditions occur. In this study only the rare taxa correlated with any physicochemical parameters. Thus these microorganisms can respond to environmental change caused by physical or biological factors that may lead to alterations in the diversity and function of the microbial communities in crystalline bedrock environments. [ABSTRACT FROM AUTHOR]

The target of this work was to assess the impact of projected climate change on the number of large forest fires (over 10 ha fires) and burned area in Finland. For this purpose, we utilized a strong relationship between fire occurrence and the Canadian fire weather index (FWI) during 1996-2014. We used daily data from five global climate models under representative concentration pathway RCP4.5 and RCP8.5 scenarios. The model data were statistically downscaled onto a high-resolution grid using the quantile-mapping method before performing the analysis. Our results suggest that the number of large forest fires may double or even triple during the present century. This would increase the risk that some of the fires could develop into real conflagrations which have become almost extinct in Finland due to active and efficient fire suppression. Our results also reveal substantial inter-model variability in the rate of the projected increase in forest-fire danger. We moreover showed that the majority of large fires occur within a relatively short period in May and June due to human activities and that FWI correlates poorer with the fire activity during this time of year than later in summer when lightning is more important cause of fires. [ABSTRACT FROM AUTHOR]

Life cycle analysis (LCA) is a crucial instrument in the construction industry, offering a comprehensive evaluation of the environmental impacts at every stage of a building's lifecycle. Recently introduced into Finnish construction legislation, this approach has not yet been thoroughly researched in relation to the Finnish Ministry of the Environment (FMoE) assessment method, nor have new calculation techniques been proposed to address its shortcomings. Furthermore, Finnish research on environmental impact assessment has predominantly focused on residential buildings, leaving a scarcity of studies on office buildings. This paper aims to fill these gaps in the literature, considering LCA, carbon footprint, and carbon handprint assessment tools of concrete-, timber-, and steel-framed cases. Our results are as follows: (1) the majority of the carbon footprint of a concrete-framed case originated from emissions associated with energy use and second largest share of total emissions occurred during the product phase of the building and within this phase, the building services contribute the most to product-related emissions; (2) a significant portion of these emissions came from facades and floor structures; (3) the carbon footprint of the timber-framed option was significantly lower than that of its concrete- and steel-framed counterparts; (4) steel-framed option's carbon footprint was nearly equivalent to that of the concrete-framed option; (5) estimated carbon handprint of the timber-framed option was considerably higher than that of the concrete- and steel-framed options, primarily due to the carbon storage capacity of the timber components; (6) steel-framed option's carbon handprint surpassed that of the concrete-framed option because of the high recycling and reuse potential of steel components; (7) the LCA method used by FMoE has some unclear areas. These ambiguities include how to assess the impacts of carbonation in cement-based products and the replacement of building components. [ABSTRACT FROM AUTHOR]

Accurate prediction of energy consumption in district heating systems plays an important role in supporting effective and clean energy production and distribution in dense urban areas. Predictive models are needed for flexible and cost-effective operation of energy production and usage, e.g., using peak shaving or load shifting to compensate for heat losses in the pipeline. This helps to avoid exceedance of power plant capacity. The purpose of this study is to automate the process of building machine learning (ML) models to solve a short-term power demand prediction problem. The dataset contains a district heating network's measured hourly power consumption and ambient temperature for 415 days. In this paper, we propose a hybrid evolutionary-based algorithm, named GA-SHADE, for the simultaneous optimization of ML models and feature selection. The GA-SHADE algorithm is a hybrid algorithm consisting of a Genetic Algorithm (GA) and success-history-based parameter adaptation for differential evolution (SHADE). The results of the numerical experiments show that the proposed GA-SHADE algorithm allows the identification of simplified ML models with good prediction performance in terms of the optimized feature subset and model hyperparameters. The main contributions of the study are (1) using the proposed GA-SHADE, ML models with varying numbers of features and performance are obtained. (2) The proposed GA-SHADE algorithm self-adapts during operation and has only one control parameter. There is no fine-tuning required before execution. (3) Due to the evolutionary nature of the algorithm, it is not sensitive to the number of features and hyperparameters to be optimized in ML models. In conclusion, this study confirms that each optimized ML model uses a unique set and number of features. Out of the six ML models considered, SVR and NN are better candidates and have demonstrated the best performance across several metrics. All numerical experiments were compared against the measurements and proven by the standard statistical tests. [ABSTRACT FROM AUTHOR]