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Johansson, T. & Mjörnell, K. (2023). Data-driven prediction of PVC flooring in the Swedish building stock.
Åpne denne publikasjonen i ny fane eller vindu >>Data-driven prediction of PVC flooring in the Swedish building stock
2023 (engelsk)Rapport (Annet vitenskapelig)
Abstract [en]

PVC flooring accounts for a significant share of PVC use in the construction sector and has great potential for recycling. Nevertheless, the actual recycling rate of PVC flooring spillage in 2018 was less than 20%, according to the national system for the separate collection and recycling of material residues from the installation of PVC floorings, developed by flooring manufacturer Tarkett AB and now used by all manufacturers in the flooring industry. To improve the sorting and recycling process of old PVC flooring it is necessary to identify where the material is located and evaluate its recycling potential. Such information is crucial for demolition waste recycling companies and flooring manufacturers to improve recycling practices for PVC flooring and then use the recycled PVC materials in the new flooring production. The challenge is to find out in which buildings there is PVC flooring and when it was installed which will indicate when it is planned to be dismantled and replaced. Since the PVC flooring manufactures do not keep track on where their products are laid such information is lacking. The best source of information that was made available for the researchers appeared to be the public building owners´ maintenance plans. Therefore, it was decided to focus on the presence of PVC flooring in public preschools as an example. By combining data from maintenance plans with national building registers, the PVC flooring in the Swedish preschools have been forecasted. The project results show an example how limited data sources can be used to predict presence of materials in larger stocks and is therefore expected to contribute to a climate-neutral supply chain with recycled PVC flooring. Based on the results of this study, dialogue, recommendations and guidelines can be developed for the flooring industry, the waste and recycling industry and the Swedish real estate and construction sector.

Publisher
s. 33
Serie
RISE Rapport ; 2023:146
Emneord
PVC flooring, recycling potential, data-driven prediction
HSV kategori
Identifikatorer
urn:nbn:se:ri:diva-70098 (URN)978-91-89896-36-9 (ISBN)
Merknad

The project has been financed with support from Vinnova, the Swedish Innovation Agency.

Tilgjengelig fra: 2024-01-17 Laget: 2024-01-17 Sist oppdatert: 2024-02-14bibliografisk kontrollert
Olsson, L., Lang, L., Bok, G. & Mjörnell, K. (2023). Development of laboratory experiments to determine critical moisture condition of CLT constructions. Journal of Physics, Conference Series, 2654(1), Article ID 012022.
Åpne denne publikasjonen i ny fane eller vindu >>Development of laboratory experiments to determine critical moisture condition of CLT constructions
2023 (engelsk)Inngår i: Journal of Physics, Conference Series, ISSN 1742-6588, E-ISSN 1742-6596, Vol. 2654, nr 1, artikkel-id 012022Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

There is an increased interest in using Cross-laminated timber (CLT) in construction, but many buildings are erected without weather protection, which poses a risk of moisture impact if wood is exposed to precipitation during construction. The construction industry argues that there are no documented critical moisture levels for CLT and no specific test method. In the study, a laboratory test set-up was developed to study mould growth under realistic and controlled climatic conditions after exposure to distilled water and spore suspension. In the experiments, small test specimens of CLT structures were exposed to distilled water for 1 day or 1 week. During the development of the method it was found that exposed for one day and then given the opportunity for open drying did not give rise to mould growth. On the other hand, growth occurred on surfaces that could not dry immediately, for example at connection points. For specimens exposed for one week, mould growth arose regardless of whether the surfaces could dry immediately or not. The conclusions apply primarily to the climates studied. The methodology needs to be further developed, with other scenarios being studied, and calibrated against samples exposed to outdoor air, dust, dirt and rainwater. 

sted, utgiver, år, opplag, sider
Institute of Physics, 2023
Emneord
Moisture; Molds; ’Dry’ [; Cross laminated; Distilled water; Exposed to; Laboratory experiments; Laminated timber; Moisture conditions; Mould growth; Timber construction; Weather protections; Construction industry
HSV kategori
Identifikatorer
urn:nbn:se:ri:diva-69246 (URN)10.1088/1742-6596/2654/1/012022 (DOI)2-s2.0-85181173951 (Scopus ID)
Merknad

The main support provided by Smart Housing Småland is gratefully acknowledged. 

Tilgjengelig fra: 2024-01-15 Laget: 2024-01-15 Sist oppdatert: 2024-01-15bibliografisk kontrollert
Mjörnell, K., Johansson, D., Femenias, P., Eriksson, P., Donarelli, A. & Johansson, T. (2023). Energy use patterns and renovations of Swedish second homes. Paper presented at 13th Nordic Symposium on Building Physics, NSB 2023. Aalborg, Denmark. 12 June 2023 through 14 June 2023. Journal of Physics, Conference Series, 2654(1), Article ID 012011.
Åpne denne publikasjonen i ny fane eller vindu >>Energy use patterns and renovations of Swedish second homes
Vise andre…
2023 (engelsk)Inngår i: Journal of Physics, Conference Series, ISSN 1742-6588, E-ISSN 1742-6596, Vol. 2654, nr 1, artikkel-id 012011Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

During and post pandemic more people spent time in their second homes, which is expected to have led to higher energy use for heating. The knowledge of energy performance, heating systems, energy renovation and use patterns of second homes is still poor. The aim of the research is therefore to compile available information from building registers but also to empirically investigate user patterns, heating source and the renovation and energy efficiency measures carried out in second homes. A first step is to synthesize existing knowledge and develop a method for a broad mapping in a next step. The methods used are analysing statistics from national building registers and collecting information from owners/users through a pre-survey that is developed and tested. In this paper statistics on Swedish second homes and results from a pre-survey responded by 92 second homes owners/users are reported. From statistics, the energy performance and the main heating source for second homes with an EPC are identified. Despite the limited sample, the results from the pre-survey give an indication of user patterns, energy renovation measures carried out, and also whether the owners care about cultural values. Based on the experience from the pre-survey, a national survey has been initiated in Sweden.

sted, utgiver, år, opplag, sider
Institute of Physics, 2023
Emneord
Efficiency measure; Energy performance; Energy use; Energy use patterns; Heating source; Heating system; Home owners; Owner/user; Swedishs; System energy; Energy efficiency
HSV kategori
Identifikatorer
urn:nbn:se:ri:diva-69322 (URN)10.1088/1742-6596/2654/1/012011 (DOI)2-s2.0-85181172938 (Scopus ID)
Konferanse
13th Nordic Symposium on Building Physics, NSB 2023. Aalborg, Denmark. 12 June 2023 through 14 June 2023
Merknad

Authors wishing to acknowledge financial support from the research programme Spara&Bevara by the Swedish Energy Agency.

Tilgjengelig fra: 2024-01-15 Laget: 2024-01-15 Sist oppdatert: 2024-02-14bibliografisk kontrollert
Wu, P.-Y., Johansson, T., Mangold, M., Sandels, C. & Mjörnell, K. (2023). Estimating the probability distributions of radioactive concrete in the building stock using Bayesian networks. Expert systems with applications, 222, Article ID 119812.
Åpne denne publikasjonen i ny fane eller vindu >>Estimating the probability distributions of radioactive concrete in the building stock using Bayesian networks
Vise andre…
2023 (engelsk)Inngår i: Expert systems with applications, ISSN 0957-4174, E-ISSN 1873-6793, Vol. 222, artikkel-id 119812Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The undesirable legacy of radioactive concrete (blue concrete) in post-war dwellings contributes to increased indoor radon levels and health threats to occupants. Despite continuous decontamination efforts, blue concrete still remains in the Swedish building stock due to low traceability as the consequence of lacking systematic documentation in technical descriptions and drawings and resource-demanding large-scaled radiation screening. The paper aims to explore the predictive inference potential of learning Bayesian networks for evaluating the presence probability of blue concrete. By integrating blue concrete records from indoor radon measurements, pre-demolition audit inventories, and building registers, it is possible to estimate buildings with high probabilities of containing blue concrete and encode the dependent relationships between variables. The findings show that blue concrete is estimated to be present in more than 30% of existing buildings, more than the current expert assumptions of 18–20%. The probability of detecting blue concrete depends on the distance to historical blue concrete manufacturing plants, building class, and construction year, but it is independent of floor area and basements. Multifamily houses and buildings built between 1960 and 1968 or nearby manufacturing plants are more likely to contain blue concrete. Despite heuristic, the data-driven approach offers an overview of the extent and the probability distribution of blue concrete-prone buildings in the regional building stock. The paper contributes to method development for pattern identification for hazardous building materials, i.e., blue concrete, and the trained models can be used for risk-based inspection planning before renovation and selective demolition. © 2023 The Author(s)

sted, utgiver, år, opplag, sider
Elsevier Ltd, 2023
Emneord
Bayesian network, Building stock, Methodology, Predictive inference, Radioactive concrete, Risk-based inspection, Concretes, Demolition, Health risks, Probability distributions, Radioactivity, Risk perception, Bayesia n networks, Building stocks, Indoor radon, Manufacturing plant, Predictive inferences, Probability: distributions, Risk-based, Bayesian networks
HSV kategori
Identifikatorer
urn:nbn:se:ri:diva-64306 (URN)10.1016/j.eswa.2023.119812 (DOI)2-s2.0-85150056393 (Scopus ID)
Merknad

Correspondence Address: Wu, P.-Y., RISE Research Institutes of Sweden, Sweden; email: pei-yu.wu@ri.se; Funding details: Stiftelsen för Strategisk Forskning, SSF, FID18-0021; Funding details: Sveriges Geologiska Undersökning, SGU; Funding details: Energimyndigheten, 957026, P2022-00304; Funding text 1: The work is part of the PhD project “Prediction of Hazardous Materials in Buildings using Machine Learning” supported by RISE Research Institutes of Sweden. Special thanks are sent to Cecilia Jelinek from the Geological Survey of Sweden (SGU), who provided information on the radiation measurements with vehicles in the Swedish municipalities.; Funding text 2: The research fund comes from the Swedish Foundation for Strategic Research (SSF) with grant number FID18-0021, the Re:Source project from the Swedish Energy Agency with grant number P2022-00304, and the EU BuiltHub project with grant agreement ID of 957026.

Tilgjengelig fra: 2023-05-08 Laget: 2023-05-08 Sist oppdatert: 2024-02-14bibliografisk kontrollert
Wu, P.-Y., Johansson, T., Sandels, C., Mangold, M. & Mjörnell, K. (2023). Indoor radon interval prediction in the Swedish building stock using machine learning. Building and Environment, 245, Article ID 110879.
Åpne denne publikasjonen i ny fane eller vindu >>Indoor radon interval prediction in the Swedish building stock using machine learning
Vise andre…
2023 (engelsk)Inngår i: Building and Environment, ISSN 0360-1323, E-ISSN 1873-684X, Vol. 245, artikkel-id 110879Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Indoor radon represents a health hazard for occupants. However, the indoor radon measurement rate is low in Sweden because of no mandatory requirements. Measuring indoor radon on an urban scale is complicated, machine learning exploiting existing data for pattern identification provides a cost-efficient approach to estimate indoor radon exposure in the building stock. Extreme gradient boosting (XGBoost) models and deep neural network (DNN) models were developed based on indoor radon measurement records, property registers, and geogenic information. The XGBoost models showed promising results in predicting indoor radon intervals for different types of buildings with macro-F1 between 0.93 and 0.96, whereas the DNN models attained macro-F1 between 0.64 and 0.74. After that, the XGBoost models trained on the national indoor radon dataset were transferred to fit building registers in metropolitan regions to estimate the indoor radon intervals in non-measured and measured buildings by regions and building classes. By comparing the prediction results and the statistical summary of indoor radon intervals in measured buildings, the model uncertainty and validity were determined. The study ascertains the prediction performance of machine learning models in classifying indoor radon intervals and discusses the benefits and limitations of the data-driven approach. The research outcomes can assist preliminary large-scale indoor radon distribution estimation for relevant authorities and guide onsite measurements for prioritized building stock prone to indoor radon exposure. 

sted, utgiver, år, opplag, sider
Elsevier Ltd, 2023
Emneord
Sweden; Buildings; Forecasting; Health hazards; Learning systems; Neural network models; Radon; Uncertainty analysis; Building stocks; Deep learning; Exposure estimation; Indoor radon; Machine-learning; Predictive models; Radon exposure; Radon exposure estimation; Regional building stock; Xgboost; building; geogenic source; indoor radon; machine learning; prediction; Deep neural networks
HSV kategori
Identifikatorer
urn:nbn:se:ri:diva-67658 (URN)10.1016/j.buildenv.2023.110879 (DOI)2-s2.0-85172459457 (Scopus ID)
Merknad

This work has received funding from the Swedish Foundation for Strategic Research (SSF) [ FID18-0021 ] and the Maj and Hilding Brosenius Research Foundation .

Tilgjengelig fra: 2023-11-27 Laget: 2023-11-27 Sist oppdatert: 2024-02-14bibliografisk kontrollert
Wu, P.-Y., Sandels, C., Johansson, T., Mangold, M. & Mjörnell, K. (2023). Machine learning models for the prediction of polychlorinated biphenyls and asbestos materials in buildings. Resources, Conservation and Recycling, 199, Article ID 107253.
Åpne denne publikasjonen i ny fane eller vindu >>Machine learning models for the prediction of polychlorinated biphenyls and asbestos materials in buildings
Vise andre…
2023 (engelsk)Inngår i: Resources, Conservation and Recycling, ISSN 0921-3449, E-ISSN 1879-0658, Vol. 199, artikkel-id 107253Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Hazardous materials in buildings cause project uncertainty concerning schedule and cost estimation, and hinder material recovery in renovation and demolition. The study aims to identify patterns and extent of polychlorinated biphenyls (PCBs) and asbestos materials in the Swedish building stock to assess their potential presence in pre-demolition audits. Statistics and machine learning pipelines were generated for four PCB and twelve asbestos components based on environmental inventories. The models succeeded in predicting most hazardous materials in residential buildings with a minimum average performance of 0.79, and 0.78 for some hazardous components in non-residential buildings. By employing the leader models to regional building registers, the probability of hazardous materials was estimated for non-inspected building stocks. The geospatial distribution of buildings prone to contamination was further predicted for Stockholm public housing to demonstrate the models’ application. The research outcomes contribute to a cost-efficient data-driven approach to evaluating comprehensive hazardous materials in existing buildings.

sted, utgiver, år, opplag, sider
Elsevier B.V., 2023
Emneord
Demolition; Forecasting; Hazardous materials; Hazards; Housing; Machine learning; Polychlorinated biphenyls; Building stocks; Cost estimations; In-buildings; Machine learning models; Machine-learning; Material recovery; Pre-demolition audit; Probability: distributions; Project uncertainty; Residential building; asbestos; building; demolition; machine learning; modeling; PCB; prediction; probability; Probability distributions
HSV kategori
Identifikatorer
urn:nbn:se:ri:diva-67646 (URN)10.1016/j.resconrec.2023.107253 (DOI)2-s2.0-85174186956 (Scopus ID)
Tilgjengelig fra: 2023-11-03 Laget: 2023-11-03 Sist oppdatert: 2024-02-14bibliografisk kontrollert
Mangold, M. & Mjörnell, K. (2023). Swedish public and private housing companies’ access to the capital market for financing energy renovation. Journal of Housing and the Built Environment, 38, 673-697
Åpne denne publikasjonen i ny fane eller vindu >>Swedish public and private housing companies’ access to the capital market for financing energy renovation
2023 (engelsk)Inngår i: Journal of Housing and the Built Environment, ISSN 1566-4910, E-ISSN 1573-7772, Vol. 38, s. 673-697Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The financing of energy efficiency measures and renovations is key to reaching energy efficiency targets for the housing sector. The purpose of this article is to add the Swedish case of how capital market funds have become accessible and used by public and private housing companies, in particular for energy efficiency measures. The core of this article are interviews with representatives of Swedish housing companies made during the spring of 2021 with the purpose of mapping how public and larger private housing companies finance renovation and energy efficiency measures, and to what extent funds from the capital market are used for these purposes. In this article, we have found that capital market funds are commonly used by the Swedish public and the largest private housing companies. Bonds are less costly compared to bank loans, and green bonds are 0.02–0.03 percentage points less costly than conventional bonds. Furthermore, control systems that investigate the values of building portfolios as security for bonds are poor. A conclusion is that governmental control systems over the capital market issuing bonds for the housing market could be needed to avert future housing bubbles. © 2022, The Author(s).

sted, utgiver, år, opplag, sider
Springer Science and Business Media B.V., 2023
Emneord
Capital market, Energy efficiency, Financing energy renovation, Housing ownership, Multifamily buildings, Renovation
HSV kategori
Identifikatorer
urn:nbn:se:ri:diva-61422 (URN)10.1007/s10901-022-09996-4 (DOI)2-s2.0-85142215266 (Scopus ID)
Merknad

Funding details: Svenska Forskningsrådet Formas, 2017-01546, 2017‐01449; Funding text 1: This work was funded by The Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (Formas), Grant Numbers 2017‐01449 and 2017-01546, within the project National Building‐Specific Information (NBI).

Tilgjengelig fra: 2022-12-07 Laget: 2022-12-07 Sist oppdatert: 2023-07-06bibliografisk kontrollert
Mjörnell, K., von Platten, J. & Björklund, K. (2022). Balancing Social and Economic Sustainability in Renovation with an Affordable Option for Tenants?: A Pilot Study from Sweden. Sustainability, 14(7), Article ID 3785.
Åpne denne publikasjonen i ny fane eller vindu >>Balancing Social and Economic Sustainability in Renovation with an Affordable Option for Tenants?: A Pilot Study from Sweden
2022 (engelsk)Inngår i: Sustainability, E-ISSN 2071-1050, Vol. 14, nr 7, artikkel-id 3785Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

A public housing company has applied a new renovation strategy, comprising no standards raising and thus rent-raising measures, in 20% of its apartments. Prior to renovation, the tenants were given the opportunity to choose renovation options involving different standards and costs after renovation. The purpose of the study is to follow up and give feedback on the renovation strategy. The aim was to evaluate implementation of the strategy in practice using a case study, in terms of the tenants’ opportunity to influence and the housing company’s profitability. To follow up, two methods were used: a survey of the tenants’ perception of choosing renovation options, and a financial assessment of the profitability based on the renovation cost and rent increase for different choice scenarios. The results from the survey show that the tenants appreciate being able to choose between different renovation options as it gives them the opportunity to decide on their housing costs and standard. With more than half of the tenants choosing the maintenance option involving a very low rent increase, the dividend yield will not be high enough to make the renovation profitable, but if only 20% had chosen the maintenance option, the dividend yield would be more feasible in the long run.

Emneord
renovation strategy, rent increases, tenant influence, dividend yield
HSV kategori
Identifikatorer
urn:nbn:se:ri:diva-58836 (URN)10.3390/su14073785 (DOI)
Tilgjengelig fra: 2022-03-23 Laget: 2022-03-23 Sist oppdatert: 2023-05-25bibliografisk kontrollert
von Platten, J., Mangold, M., Johansson, T. & Mjörnell, K. (2022). Energy efficiency at what cost?: Unjust burden-sharing of rent increases in extensive energy retrofitting projects in Sweden. Energy Research & Social Science, 92, Article ID 102791.
Åpne denne publikasjonen i ny fane eller vindu >>Energy efficiency at what cost?: Unjust burden-sharing of rent increases in extensive energy retrofitting projects in Sweden
2022 (engelsk)Inngår i: Energy Research & Social Science, ISSN 2214-6296, E-ISSN 2214-6326, Vol. 92, artikkel-id 102791Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Although renovation costs can lead to rent increases in energy retrofitting, it is often assumed that reductions in energy costs will counterbalance the rent increase. In Swedish multifamily housing, energy costs for heating are however generally included as a fixed component in the monthly rent, meaning that the rent increase after energy retrofitting corresponds to the net change in rent level as well as energy costs for heating. This makes Sweden a methodologically advantageous setting for studying tenants' cost burden of energy retrofitting. The aim of this study was thus to investigate how energy performance improvement has affected rent increases in Swedish renovation projects between 2013 and 2019. Utilising a national database of multifamily housing, it was found that energy retrofitting entailed a cost relief for tenants in renovation projects with smaller investments. However, in renovation projects with larger investments, energy retrofitting entailed a cost burden for tenants. Moreover, public housing companies had conducted a high share of the extensive energy retrofits, leading to low-income tenant groups being disproportionately subjected to cost burdens of energy retrofitting. On the contrary, light energy retrofits with a cost relief for energy efficiency had been rather evenly distributed across income groups. These results indicate ongoing conflicts with the ability-to-pay principle in the energy transition of Swedish multifamily housing, and suggest that if low-investment energy retrofits are not sufficient for upcoming objectives and requirements, subsidies could be needed to compensate low-income tenants for the cost burden of extensive energy retrofitting. © 2022 The Author(s)

sted, utgiver, år, opplag, sider
Elsevier Ltd, 2022
HSV kategori
Identifikatorer
urn:nbn:se:ri:diva-60152 (URN)10.1016/j.erss.2022.102791 (DOI)2-s2.0-85137010833 (Scopus ID)
Merknad

Funding details: Svenska Forskningsrådet Formas, 2017-01449; Funding text 1: The authors would like to thank the Swedish National Board of Housing, Building and Planning for their collaboration around this research. This work was supported by The Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (Formas) [grant number 2017-01449] within the project National Building-Specific Information (NBI). The authors have no conflicts of interest to declare.; Funding text 2: The authors would like to thank the Swedish National Board of Housing, Building and Planning for their collaboration around this research. This work was supported by The Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (Formas) [grant number 2017-01449 ] within the project National Building-Specific Information (NBI). The authors have no conflicts of interest to declare.

Tilgjengelig fra: 2022-09-29 Laget: 2022-09-29 Sist oppdatert: 2024-02-14bibliografisk kontrollert
Mjörnell, K. & Persson, M. (2022). Genomlysning branschstandard för fuktsäker byggprocess.
Åpne denne publikasjonen i ny fane eller vindu >>Genomlysning branschstandard för fuktsäker byggprocess
2022 (engelsk)Rapport (Annet vitenskapelig)
Abstract [sv]

Denna genomlysning av Branschstandard ByggaF – metod för fuktsäker byggprocess har gjorts med målet tydliggöra den fuktsäkerhetsprocess som krävs för att säkerställa fuktsäkra byggnader och med speciell hänsyn till det tänkta nya formatet i projektet Möjligheternas Byggregler. Arbetet har utförts av en grupp personer som representerar olika aktörer i byggsektorn och som är väl förtrogna med Branschstandard ByggaF och flera använder den dagligen. Arbetet som genomförts under en kort och intensiv period har präglats av ett stort engagemang och vilja att bidra till förbättring och anpassning av Branschstandard ByggaF till nya förutsättningar och behov. Det är viktigt att betona är att det här är en genomlysning som ska visa på utvecklingsbehov av Branschstandard ByggaF utifrån de kommande förändringarna i byggreglerna. Genomlysningen har visat på delar som inte fungerar så bra i praktiken och som behöver revideras och vidareutvecklas. Uppdraget omfattar inte att ta fram en ny reviderad Branschstandard ByggaF men förbättringsförslag har identifierats under rubriken “önskat läge”. Arbetsgruppen har många tankar om vad som borde revideras i nuvarande Branschstandard ByggaF och i nästa steg, när det faktiska arbetet ska göras med revideringar kan det behövs göras andra ändringar än vad som föreslås här. Detta är bara ett förslag. Det är dock viktigt att poängtera att det som återges här inte är något färdigt förslag och inte alltid arbetsgruppens gemensamma åsikt (koncensus) utan mer exempel på möjliga utvecklingsriktningar. Trots att arbetsgruppen försökt nå konsensus har det funnits lite olika synsätt på vissa detaljfrågor.

Publisher
s. 38
Emneord
Fukt, fuktsäkerhet
HSV kategori
Identifikatorer
urn:nbn:se:ri:diva-68602 (URN)
Tilgjengelig fra: 2023-12-14 Laget: 2023-12-14 Sist oppdatert: 2023-12-14bibliografisk kontrollert
Organisasjoner
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0002-3863-0740
v. 2.41.0