| 1. |
- Aksoy, Samet, et al.
(författare)
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Forest Biophysical Parameter Estimation via Machine Learning and Neural Network Approaches
- 2023
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Ingår i: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. - : IEEE. - 9798350320107 - 9798350320091 - 9798350331745 ; , s. 2661-2664
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Konferensbidrag (refereegranskat)abstract
- This paper presents the first results of the ongoing development of new forest mapping methods for the Swedish national forest mapping case using Airborne Laser Scanning (ALS) data, utilizing the recent findings in machine learning (ML) and Artificial Intelligence (AI) techniques. We used Random Forest (RF) and eXtreme Gradient Boosting (XGBoost) as ML models. In addition, Neural networks (NN) based approaches were utilized in this study. ALS derived features were used to estimate the stem volume (V), above-ground biomass (AGB), basal area (B), tree height (H), stem diameter (D), and forest stand age (A). XGBoost ML algorithm outperformed RF 1 % to 3 % in the R² metric. NN model performed similar to ML model, however it is superior in the estimation of V, AGB, and B parameters.
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| 2. |
- Cripps, Helen, et al.
(författare)
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Crowdsourcing through Twitter for innovation
- 2020
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Ingår i: 33rd Bled eConference: Enabling Technology for a Sustainable Society. - Maribor, Slovenia : University of Maribor University Press. - 9789612863623 ; , s. 185-200
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Konferensbidrag (refereegranskat)abstract
- This research investigates the role and use of Twitter inbusiness markets and benefits of using open social media channels to crowd source information to support innovation and build relationship in the context of business-to-business (B2B) marketing. This study is based on a combination of methodologies, 52 face-to-face interviews across five countriesare compared with a sample of their Tweets using Structural Topic Modelling (STM) which enabled triangulation between stated use of Twitter and respondent’s actual Tweets. The research confirmed that individuals used Twitter as a source ofinformation, ideas and innovation within their industry. Twitter enables the building of relevant business relationships through the exchange of new, expert and high quality information within like-minded communities in real time, between companies and their suppliers, customers and also their peers. This research highlights the business relationship building capacity of Twitteras it enables customer and peer conversations that eventually support the development of product and service innovations.
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| 3. |
- Cripps, Helen, et al.
(författare)
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The use of Twitter for innovation in business markets
- 2020
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Ingår i: Marketing Intelligence & Planning. - : Emerald Group Publishing Limited. - 0263-4503 .- 1758-8049. ; 38:5, s. 587-601
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: The purpose of this research is to investigate the use of Twitter in business as a medium for knowledge sharing and to crowdsource information to support innovation and enhance business relationships in the context of business-to-business (B2B) marketing.Design/methodology/approach: This study uses a combination of methodologies for gathering data in 52 face-to-face interviews across five countries and the downloaded posts from each of the interviewees' Twitter accounts. The tweets were analysed using structural topic modelling (STM), and then compared to the interview data. This method enabled triangulation between stated use of Twitter and respondent's actual tweets.Findings: The research confirmed that individuals used Twitter as a source of information, ideas, promotion and innovation within their industry. Twitter facilitates building relevant business relationships through the exchange of new, expert and high-quality information within like-minded communities in real time, between companies and with their suppliers, customers and also their peers.Research limitations/implications: As this study covered five countries, further comparative research on the use of Twitter in the B2B context is called for. Further investigation of the formalisation of social media strategies and return on investment for social media marketing efforts is also warranted.Practical implications: This research highlights the business relationship building capacity of Twitter as it enables customer and peer conversations that eventually support the development of product and service innovations. Twitter has the capacity for marketers to inform and engage customers and peers in their networks on wider topics thereby building the brand of the individual users and their companies simultaneously.Originality/value: This study focuses on interactions at the individual level illustrating that Twitter is used for both customer and peer interactions that can lead to the sourcing of ideas, knowledge and ultimately innovation. The study is novel in its methodological approach of combining structured interviews and text mining that found the topics of the interviewees' tweets aligned with their interview responses.
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| 4. |
- Fransson, Johan, Professor, 1967-
(författare)
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ForestMap : The next generation of forest maps – adapting a Nordic success story across the globe
- 2022
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Annan publikation (populärvet., debatt m.m.)abstract
- Forests provide countless values to people and society, both in developing as in developed countries. For the developed countries, the main value has been from wood and products from wood. In many developing countries, the forest is still seen as a common right of access, supplying firewood, food and building material. Today, new societal values are provided by the forests, important to human well-being. Presumably, the most important value of the forests is that they have been identified to have a major role in global climate change, where defore station, afforestation and new strategies to actively increase carbon sequestration, are very important processes. Moreover, the forests are critical habitats for biodiversity and there is increasing evidence that biodiversity contributes to forest ecosystem functioning and the provision of ecosystem services. However, there is very little global discussion on how improved management of productive forests could contribute to mitigation of climate change and enrichment of biodiversity. If forest owners could utilize efficient decision tools for improved management and precision forest management, they would benefit with higher yield and net turnover, which in turn motivates them to further improve the management. Higher net turnover is also a motivating factor to reinvest in additional management and afforestation, hence, creating a positive loop that mitigate climate change by increased carbon sequestration and is beneficial to biodiversity. Extrapolated to the global forest estate of 3.9 billion hectares, these data suggest that about 77% of the world’s forest is owned and administered by governments, about 4% is reserved for communities, about 7% is owned by local communities, and about 12% is owned by individuals. In the above context, a fundamental need from forest stakeholders is data about the forest state and change in terms of biomass, tree species composition, and forest cover. However, depending on the stakeholder, the need of data, required accuracy, willingness to pay and need of decision support is very much variating. When also considering that many stakeholders are illiterate and may not have adequate competence to interpret data into management decisions, there is a clear need for a solution that also can strengthen equality (including gender equality)among stakeholders. The ForestMap project will provide new means for forest mapping globally and provide new open data crucial for sustainable forest management and mitigation of climate change. The overall objective is to advance the societal values of forest use by developing and evaluating a new methodology to produce forest maps across the globe. The project will develop easily applicable methods for forest map production using crowd sourced data from smartphones and remote sensing data from space- and airborne systems. Artificial Intelligence (AI) algorithms will be developed in order to produce tailor-made forest maps to stakeholder’s needs, corresponding to their willingness to pay. The societal value of the forest maps used in existing and new business models will also be explored.
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| 5. |
- Fransson, Johan, Professor, 1967-, et al.
(författare)
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ForestMap : Mapping Forest Attributes Across the Globe - First Case Study
- 2023
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Ingår i: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. - : IEEE. - 9798350320107 - 9798350331745 - 9798350320091 ; , s. 3395-3397
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Konferensbidrag (refereegranskat)abstract
- This paper presents the project ForestMap – a project aiming to develop and distribute new methods, which provide the benefits of accurate forest maps to a global audience. Using the recent developments in remote sensing, machine learning, and Artificial Intelligence (AI) the goal is to export the Scandinavian success stories to a wide range of stakeholders in the world.
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| 6. |
- Heiskanen, Annamari, et al.
(författare)
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N-glycolylneuraminic acid xenoantigen contamination of human embryonic and mesenchymal stem cells is substantially reversible.
- 2007
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Ingår i: Stem cells (Dayton, Ohio). - : Oxford University Press (OUP). - 1066-5099 .- 1549-4918. ; 25:1, s. 197-202
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Tidskriftsartikel (refereegranskat)abstract
- Human embryonic and mesenchymal stem cell therapies may offer significant benefit to a large number of patients. Recently, however, human embryonic stem cell lines cultured on mouse feeder cells were reported to be contaminated by the xeno-carbohydrate N-glycolylneuraminic acid (Neu5Gc) and considered potentially unfit for human therapy. To determine the extent of the problem of Neu5Gc contamination for the development of stem cell therapies, we investigated whether it also occurs in cells cultured on human feeder cells and in mesenchymal stem cells, what are the sources of contamination, and whether the contamination is reversible. We found that N-glycolylneuraminic acid was present in embryonic stem cells cultured on human feeder cells, correlating with the presence of Neu5Gc in components of the commercial serum replacement culture medium. Similar contamination occurred in mesenchymal stem cells cultured in the presence of fetal bovine serum. The results suggest that the Neu5Gc is present in both glycoprotein and lipid-linked glycans, as detected by mass spectrometric analysis and monoclonal antibody staining, respectively. Significantly, the contamination was largely reversible in the progeny of both cell types, suggesting that decontaminated cells may be derived from existing stem cell lines. Although major complications have not been reported in the clinical trials with mesenchymal stem cells exposed to fetal bovine serum, the immunogenic contamination may potentially be reflected in the viability and efficacy of the transplanted cells and thus bias the published results. Definition of safe culture conditions for stem cells is essential for future development of cellular therapies.
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| 7. |
- Sievers, Henrik, et al.
(författare)
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Coevolution of market orientation and industry evolution : A historical and comparative study in a telecom company
- 2016
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- This paper focus on learning about coevolution of a market orientation (MO) and industry evolution (IO) on the basis of a longitudinal case study of marketing orientation and new telecommunications technologies in the global telecommunications industry, and how the orientation and the technologies shaped and were shaped by developments within a Finnish telecommunications firm. It appears that when the industrial market evolved from closed to semi-open, MO took the form of actions to commercialize technological expertise, create new services, and to provide ways on how communicate strategic vision. MO is here defined as the coexistence and coevolution of customer orientation, competitor orientation, and inter-functional coordination. It is defined to be strong when it is proactive and explorative, weak when it is reactive and exploitative. When the industrial market studied in this paper opened up fully, MO transformed into actions focusing attention on the short term, controlling actions and cognition as to commercialize expertise or new services. In other words, the full opening up of an industrial market appears to weaken marketing orientation, while initial semi-opening appears to be more conducive to capabilities in R&D, cross-functional or cross-SBU collaboration, credibility of strategic vision, or bargaining power vis-à-vis vendors. Implications for further research are given.
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| 8. |
- van de Vegte, Yordi, et al.
(författare)
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Genetic insights into resting heart rate and its role in cardiovascular disease
- 2023
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Ingår i: Nature Communications. - : Springer Nature. - 2041-1723. ; 14:1
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Tidskriftsartikel (refereegranskat)abstract
- The genetics and clinical consequences of resting heart rate (RHR) remain incompletely understood. Here, the authors discover new genetic variants associated with RHR and find that higher genetically predicted RHR decreases risk of atrial fibrillation and ischemic stroke. Resting heart rate is associated with cardiovascular diseases and mortality in observational and Mendelian randomization studies. The aims of this study are to extend the number of resting heart rate associated genetic variants and to obtain further insights in resting heart rate biology and its clinical consequences. A genome-wide meta-analysis of 100 studies in up to 835,465 individuals reveals 493 independent genetic variants in 352 loci, including 68 genetic variants outside previously identified resting heart rate associated loci. We prioritize 670 genes and in silico annotations point to their enrichment in cardiomyocytes and provide insights in their ECG signature. Two-sample Mendelian randomization analyses indicate that higher genetically predicted resting heart rate increases risk of dilated cardiomyopathy, but decreases risk of developing atrial fibrillation, ischemic stroke, and cardio-embolic stroke. We do not find evidence for a linear or non-linear genetic association between resting heart rate and all-cause mortality in contrast to our previous Mendelian randomization study. Systematic alteration of key differences between the current and previous Mendelian randomization study indicates that the most likely cause of the discrepancy between these studies arises from false positive findings in previous one-sample MR analyses caused by weak-instrument bias at lower P-value thresholds. The results extend our understanding of resting heart rate biology and give additional insights in its role in cardiovascular disease development.
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