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  • 1.
    Chatzimparmpas, Angelos
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Martins, Rafael Messias
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Jusufi, Ilir
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    A survey of surveys on the use of visualization for interpreting machine learning models2020Ingår i: Information Visualization, ISSN 1473-8716, E-ISSN 1473-8724, s. 1-27Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Research in machine learning has become very popular in recent years, with many types of models proposed to comprehend and predict patterns and trends in data originating from different domains. As these models get more and more complex, it also becomes harder for users to assess and trust their results, since their internal operations are mostly hidden in black boxes. The interpretation of machine learning models is currently a hot topic in the information visualization community, with results showing that insights from machine learning models can lead to better predictions and improve the trustworthiness of the results. Due to this, multiple (and extensive) survey articles have been published recently trying to summarize the high number of original research papers published on the topic. But there is not always a clear definition of what these surveys cover, what is the overlap between them, which types of machine learning models they deal with, or what exactly is the scenario that the readers will find in each of them. In this article, we present a metaanalysis (i.e. a ‘‘survey of surveys’’) of manually collected survey papers that refer to the visual interpretation of machine learning models, including the papers discussed in the selected surveys. The aim of our article is to serve both as a detailed summary and as a guide through this survey ecosystem by acquiring, cataloging, and presenting fundamental knowledge of the state of the art and research opportunities in the area. Our results confirm the increasing trend of interpreting machine learning with visualizations in the past years, and that visualization can assist in, for example, online training processes of deep learning models and enhancing trust into machine learning. However, the question of exactly how this assistance should take place is still considered as an open challenge of the visualization community.

  • 2. Verhagen, Harko
    et al.
    Borit, MelaniaBravo, GiangiacomoLinnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).Wijermans, Nanda
    Advances in Social Simulation: Looking in the Mirror2020Samlingsverk (redaktörskap) (Refereegranskat)
  • 3.
    Golub, Koraljka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Hagelbäck, Johan
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Ardö, Anders
    Lund University, Sweden.
    Automatic Classification of Swedish Metadata Using Dewey Decimal Classification: A Comparison of Approaches2020Ingår i: Journal of Data and Information Science, ISSN 2096-157X, Vol. 5, nr 1, s. 18-38Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Purpose

    With more and more digital collections of various information resources becoming available, also increasing is the challenge of assigning subject index terms and classes from quality knowledge organization systems. While the ultimate purpose is to understand the value of automatically produced Dewey Decimal Classification (DDC) classes for Swedish digital collections, the paper aims to evaluate the performance of six machine learning algorithms as well as a string-matching algorithm based on characteristics of DDC.

    Design/methodology/approach

    State-of-the-art machine learning algorithms require at least 1,000 training examples per class. The complete data set at the time of research involved 143,838 records which had to be reduced to top three hierarchical levels of DDC in order to provide sufficient training data (totaling 802 classes in the training and testing sample, out of 14,413 classes at all levels).

    Findings

    Evaluation shows that Support Vector Machine with linear kernel outperforms other machine learning algorithms as well as the string-matching algorithm on average; the string-matching algorithm outperforms machine learning for specific classes when characteristics of DDC are most suitable for the task. Word embeddings combined with different types of neural networks (simple linear network, standard neural network, 1D convolutional neural network, and recurrent neural network) produced worse results than Support Vector Machine, but reach close results, with the benefit of a smaller representation size. Impact of features in machine learning shows that using keywords or combining titles and keywords gives better results than using only titles as input. Stemming only marginally improves the results. Removed stop-words reduced accuracy in most cases, while removing less frequent words increased it marginally. The greatest impact is produced by the number of training examples: 81.90% accuracy on the training set is achieved when at least 1,000 records per class are available in the training set, and 66.13% when too few records (often less than 100 per class) on which to train are available—and these hold only for top 3 hierarchical levels (803 instead of 14,413 classes).

    Research limitations

    Having to reduce the number of hierarchical levels to top three levels of DDC because of the lack of training data for all classes, skews the results so that they work in experimental conditions but barely for end users in operational retrieval systems.

    Practical implications

    In conclusion, for operative information retrieval systems applying purely automatic DDC does not work, either using machine learning (because of the lack of training data for the large number of DDC classes) or using string-matching algorithm (because DDC characteristics perform well for automatic classification only in a small number of classes). Over time, more training examples may become available, and DDC may be enriched with synonyms in order to enhance accuracy of automatic classification which may also benefit information retrieval performance based on DDC. In order for quality information services to reach the objective of highest possible precision and recall, automatic classification should never be implemented on its own; instead, machine-aided indexing that combines the efficiency of automatic suggestions with quality of human decisions at the final stage should be the way for the future.

    Originality/value

    The study explored machine learning on a large classification system of over 14,000 classes which is used in operational information retrieval systems. Due to lack of sufficient training data across the entire set of classes, an approach complementing machine learning, that of string matching, was applied. This combination should be explored further since it provides the potential for real-life applications with large target classification systems.

  • 4.
    Laitinen, Mikko
    University of Eastern Finland, Finland.
    Empirical perspectives on English as a lingua franca (ELF) grammar2020Ingår i: World Englishes, ISSN 0883-2919, E-ISSN 1467-971X, s. 1-16Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This article focuses on grammatical variation in English as a lingua franca (ELF). Calling for more systematic corpus studies, it presents three empirical perspectives that broaden and deepen the study of grammatical variability in ELF. These approaches focus on tracing how ongoing grammatical change in core and emergent modal auxiliaries is adopted in ELF. The empirical evidence is drawn from various ELF corpora that cover multiple genres. Utilizing the quantitative paradigm and building on corpus-based variationist methods, the three perspectives highlight and call for more studies (1) in which the object of study consist of broad grammatical categories and which compare quantitative patterns between ELF and other types of Englishes, (2) combine quantitative methods with close-up qualitative analyses, and (3) investigate probabilistic constraints in ELF grammar. The results show that ELF is shaped by the same natural evolutionary processes that affect the established varieties. The role of these natural processes needs to be taken into account in future ELF studies.

  • 5.
    Farjam, Mike
    et al.
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Bravo, Giangiacomo
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Fixing sample biases in experimental data using agent-based modelling2020Ingår i: Advances in social simulation: Looking in the mirror, Springer Nature, 2020Kapitel i bok, del av antologi (Refereegranskat)
  • 6.
    Tamburino, Lucia
    et al.
    Swedish university of agricultural sciences, Sweden.
    Bravo, Giangiacomo
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Clough, Yann
    Lund University, Sweden.
    Nicholas, Kimberly A.
    Lund University, Sweden.
    From population to production: 50 years of scientific literature on how to feed the world2020Ingår i: Global Food Security, ISSN 2211-9124, Vol. 24, s. 1-8, artikel-id 100346Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    How to feed the world is a vigorously debated question, but the extent to which possible solutions receive attention in the scientific literature has not been studied. Using textual analysis, we analyse 12,640 research articles to quantify how this discourse evolved over the last 50 years, distinguishing between a focus on three potential levers: total food production, per capita food demand, and population. We find a strong and increasing focus on feeding the world through increasing food production via technology, while the focus on reducing food demand through less intensive dietary patterns has remained constant and low. Population has declined from being the dominant lever discussed in 1969 to the least researched in 2018. Our results suggest that very few studies address all three levers in an integrated way, which may be constraining the solution space for feeding the world and meeting other Sustainable Development Goals.

  • 7.
    Forsell, Erik
    et al.
    Karolinska Institutet, Sweden;Stockholm County Council, Sweden.
    Isacsson, Nils
    Institutet, Sweden;Stockholm County Council, Sweden.
    Blom, Kerstin
    Karolinska Institutet, Sweden;Stockholm County Council, Sweden.
    Jernelov, Susanna
    Karolinska Institutet, Sweden;Stockholm County Council, Sweden.
    Ben Abdesslem, Fehmi
    RISE, Sweden.
    Lindefors, Nils
    Karolinska Institutet, Sweden;Stockholm County Council, Sweden.
    Boman, Magnus
    KTH Royal instute of technology, Sweden.
    Kaldo, Viktor
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för psykologi (PSY). Karolinska Institutet, Sweden;Stockholm County Council, Sweden.
    Predicting Treatment Failure in Regular Care Internet-Delivered Cognitive Behavior Therapy for Depression and Anxiety Using Only Weekly Symptom Measures2020Ingår i: Journal of Consulting and Clinical Psychology, ISSN 0022-006X, E-ISSN 1939-2117, Vol. 88, nr 4, s. 311-321Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Objective: Therapist guided Internet-Delivered Cognitive Behavior Therapy (ICBT) is effective, but as in traditional CBT, not all patients improve, and clinicians generally fail to identify them early enough. We predict treatment failure in 12-week regular care ICBT for Depression, Panic disorder and Social anxiety disorder, using only patients' weekly symptom ratings to identify when the accuracy of predictions exceed 2 benchmarks: (a) chance, and (b) empirically derived clinician preferences for actionable predictions. Method: Screening, pretreatment and weekly symptom ratings from 4310 regular care ICBT-patients from the Internet Psychiatry Clinic in Stockholm, Sweden was analyzed in a series of regression models each adding 1 more week of data. Final score was predicted in a holdout test sample, which was then categorized into Success or Failure (failure defined as the absence of both remitter and responder status). Classification analyses with Balanced Accuracy and 95% Confidence intervals was then compared to predefined benchmarks. Results: Benchmark 1 (better than chance) was reached 1 week into all treatments. Social anxiety disorder reached Benchmark 2 (>65%) at week 5, whereas Depression and Panic Disorder reached it at week 6. Conclusions: For depression, social anxiety and panic disorder, prediction with only patient-rated symptom scores can detect treatment failure 6 weeks into ICBT, with enough accuracy for a clinician to take action. Early identification of failing treatment attempts may be a viable way to increase the overall success rate of existing psychological treatments by providing extra clinical resources to at-risk patients, within a so-called Adaptive Treatment Strategy.

  • 8.
    Farjam, Mike
    et al.
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    de Moor, Tine
    Utrecht University, Netherlands.
    van Weeren, René
    Utrecht University, Netherlands.
    Forsman, Anders
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för biologi och miljö (BOM).
    Dehkordi, Molood Ale Ebrahim
    Delft University of Technology, Netherlands.
    Ghorbani, Amineh
    Delft University of Technology, Netherlands.
    Bravo, Giangiacomo
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Shared Patterns in Long-Term Dynamics of Commons as Institutions for Collective Action2020Ingår i: International Journal of the Commons, ISSN 1875-0281, E-ISSN 1875-0281, Vol. 14, nr 1, s. 78-90Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    We present an analysis of regulatory activities in historical commons offering a unique picture of their long-term institutional dynamics. The analysis took into account almost 3,800 regulatory activities in eighteen European commons in two countries across seven centuries. Despite differences in time and space, we found a shared pattern where an initial, highly-dynamic institutional-definition phase was followed by a relatively long period of stability and a final burst of activities, possibly in an attempt to respond to new challenges. In addition, most of the initial regulatory activities focused on resource use, while towards the end other activities prevailed. Our approach allows for a better understanding of institutional dynamics and our findings also provide important insights about how to regulate the use of current natural resources.

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  • 9.
    Golub, Koraljka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Hansson, Joacim
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Tyrkkö, Jukka
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Ahlström, Ida
    Linnéuniversitetet, Universitetsbiblioteket.
    Subject indexing in humanities: A comparison between a local university repository and an international bibliographic service2020Ingår i: Journal of Documentation, ISSN 0022-0418, E-ISSN 1758-7379Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Purpose – As the humanities develop in the realm of increasingly more pronounced digital scholarship, it isimportant to provide quality subject access to a vast range of heterogeneous information objects in digitalservices. The study aims to paint a representative picture of the current state of affairs of the use of subjectindex terms in humanities journal articles with particular reference to the well-established subject access needsof humanities researchers, with the purpose of identifying which improvements are needed in this context.

    Design/methodology/approach – The comparison of subject metadata on a sample of 649 peer-reviewedjournal articles from across the humanities is conducted in a university repository, against Scopus, the formerreflecting local and national policies and the latter being the most comprehensive international abstract andcitation database of research output.

    Findings – The study shows that established bibliographic objectives to ensure subject access for humanitiesjournal articles are not supported in either the world’s largest commercial abstract and citation databaseScopus or the local repository of a public university in Sweden. The indexing policies in the two services do notseem to address the needs of humanities scholars for highly granular subject index terms with appropriatefacets; no controlled vocabularies for any humanities discipline are used whatsoever.

    Originality/value – In all, not much has changed since 1990s when indexing for the humanities was shown tolag behind the sciences. The community of researchers and information professionals, today working togetheron digital humanities projects, as well as interdisciplinary research teams, should demand that their subjectaccess needs be fulfilled, especially in commercial services like Scopus and discovery services.

  • 10.
    Farjam, Mike
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    The bandwagon effect in an online experiment with real political organisations2020Ingår i: International journal of public opinion research, ISSN 0954-2892, E-ISSN 1471-6909, s. 1-19Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This study examined through an online experiment how pre-election pollsaffect voters. The results revealed that votes for the most popular optionincreased on average by 7% when polls were shared with participants, shiftingaway from both minority options and options with intermediate popularity.This bandwagon effect was consistent across different electoral systems anddifferent political issues. In the experiment, participants  voted on the distri-bution of $1,200 between politically active organisations. This experiment isunique in that it offered a highly controlled environment to study voting andexamined voting options that are relevant to participants because of real-worldpolitical consequences.

  • 11.
    Chatzimparmpas, Angelos
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Martins, Rafael Messias
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Jusufi, Ilir
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Kucher, Kostiantyn
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).
    Rossi, Fabrice
    Université Paris Dauphine, PSL University, France.
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations2020Ingår i: Computer graphics forum (Print), ISSN 0167-7055, E-ISSN 1467-8659, Vol. 39, nr 3, s. 713-756Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Machine learning (ML) models are nowadays used in complex applications in various domains such as medicine, bioinformatics, and other sciences. Due to their black box nature, however, it may sometimes be hard to understand and trust the results they provide. This has increased the demand for reliable visualization tools related to enhancing trust in ML models, which has become a prominent topic of research in the visualization community over the past decades. To provide an overview and present the frontiers of current research on the topic, we present a State-of-the-Art Report (STAR) on enhancing trust in ML models with the use of interactive visualization. We define and describe the background of the topic, introduce a categorization for visualization techniques that aim to accomplish this goal, and discuss insights and opportunities for future research directions. Among our contributions is a categorization of trust against different facets of interactive ML, expanded and improved from previous research. Our results are investigated from different analytical perspectives: (a) providing a statistical overview, (b) summarizing key findings, (c) performing topic analyses, and (d) exploring the data sets used in the individual papers, all with the support of an interactive web-based survey browser. We intend this survey to be beneficial for visualization researchers whose interests involve making ML models more trustworthy, as well as researchers and practitioners from other disciplines in their search for effective visualization techniques suitable for solving their tasks with confidence and conveying meaning to their data.

  • 12.
    Skeppstedt, Maria
    et al.
    The Institute for Language and Folklore, Sweden.
    Ahltorp, Magnus
    The Institute for Language and Folklore, Sweden.
    Kucher, Kostiantyn
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Rzepka, Rafal
    Hokkaido University, Japan;RIKEN Center for Advanced Intelligence Project (AIP), Japan.
    Araki, Kenji
    Hokkaido University, Japan..
    Topic modelling applied to a second language: A language adaption and tool evaluation study2020Ingår i: Selected Papers – CLARIN Annual Conference 2019, 2020Konferensbidrag (Refereegranskat)
    Abstract [en]

    The Topics2Themes tool, which enables text analysis on the output of topic modelling, was originally developed for the English language. In this study, we explored and evaluated adaptations required for applying the tool to Japanese texts. That is, we adapted Topics2Themes to a language that is very different from the one for which the tool was originally developed. To apply Topics2Themes to Japanese texts, in which white space is not used for indicating word boundaries, the texts had to be pre-tokenised and white space inserted to indicate a token segmentation. Topics2Themes was also extended by the addition of word translations and phonetic readings to support users who are second-language speakers of Japanese. To evaluate the adaptation to a second language, as well as the reading support, we applied the tool to a corpus consisting of short Japanese texts. Twelve different topics were automatically identified, and a total of 183 texts representative for the twelve topics were extracted. A learner of Japanese carried out a manual analysis of these representative texts, and identified 35 reoccurring, fine-grained themes.

  • 13.
    Chatzimparmpas, Angelos
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Martins, Rafael Messias
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections2020Ingår i: IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, E-ISSN 1941-0506, s. 1-18Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    t-Distributed Stochastic Neighbor Embedding (t-SNE) for the visualization of multidimensional data has proven to be a popular approach, with successful applications in a wide range of domains. Despite their usefulness, t-SNE projections can be hard to interpret or even misleading, which hurts the trustworthiness of the results. Understanding the details of t-SNE itself and the reasons behind specific patterns in its output may be a daunting task, especially for non-experts in dimensionality reduction. In this work, we present t-viSNE, an interactive tool for the visual exploration of t-SNE projections that enables analysts to inspect different aspects of their accuracy and meaning, such as the effects of hyper-parameters, distance and neighborhood preservation, densities and costs of specific neighborhoods, and the correlations between dimensions and visual patterns. We propose a coherent, accessible, and well-integrated collection of different views for the visualization of t-SNE projections. The applicability and usability of t-viSNE are demonstrated through hypothetical usage scenarios with real data sets. Finally, we present the results of a user study where the tool’s effectiveness was evaluated. By bringing to light information that would normally be lost after running t-SNE, we hope to support analysts in using t-SNE and making its results better understandable.

  • 14.
    Lundberg, Jonas
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Laitinen, Mikko
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR). University of Eastern Finland, Finland.
    Twitter trolls: A linguistic profile of anti-democratic discourse2020Ingår i: Language sciences (Oxford), ISSN 0388-0001, E-ISSN 1873-5746, artikel-id 101268Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    ThisThis article focuses on anti-democratic discourse and investigates the linguistic profile of Twitter trolls. The troll data consist of some 3.5 million messages in English obtained through Twitter in late 2018. These data originate from potentially state-backed information operations aimed at sowing discord in Western societies. The baseline data, against which the troll data are compared, contain circa 4.4 million messages in English drawn from the Nordic Tweet Stream corpus. A machine learning application that enables us to select genuine personal messages in this corpus is used to prune the data. The empirical part investigates frequency-based characteristics of the two datasets. We utilize a set of automatically-extracted word-list information and the observed frequencies of personal pronouns. Our empirical findings show considerable quantitative differences so that the troll data are shorter, make use of a smaller number of lexical types and tokens, and resemble more formal registers, while the personal messages are more spoken-like. The results could be used to improve automated detection systems whose purpose is to identify troll accounts. article focuses on anti-democratic discourse and investigates the linguistic profile of Twitter trolls. The troll data consist of some 3.5 million messages in English obtained through Twitter in late 2018. These data originate from potentially state-backed information operations aimed at sowing discord in Western societies. The baseline data, against which the troll data are compared, contain circa 4.4 million messages in English drawn from the Nordic Tweet Stream corpus. A machine learning application that enables us to select genuine personal messages in this corpus is used to prune the data. The empirical part investigates frequency-based characteristics of the two datasets. We utilize a set of automatically-extracted word-list information and the observed frequencies of personal pronouns. Our empirical findings show considerable quantitative differences so that the troll data are shorter, make use of a smaller number of lexical types and tokens, and resemble more formal registers, while the personal messages are more spoken-like. The results could be used to improve automated detection systems whose purpose is to identify troll accounts.

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  • 15.
    Squazzoni, Flaminio
    et al.
    University of Milan, Italy.
    Ahrweiler, Petra
    University of Mainz, Germany.
    Barros, Tiago
    Publons, UK.
    Bianchi, Federico
    University of Brescia, Italy.
    Birukou, Aliaksandr
    Springer Nature, Germany.
    Blom, Harry J. J.
    Springer Nature, USA.
    Bravo, Giangiacomo
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Cowley, Stephen
    University of Southern Denmark, Denmark.
    Dignum, Virginia
    Umeå University, Sweden.
    Dondio, Pierpaolo
    Technological University Dublin, Ireland.
    Grimaldo, Francisco
    School of Engineering at the University of Valencia, Spain.
    Haire, Lynsey
    Taylor & Francis Group, UK.
    Hoyt, Jason
    PeerJ, UK.
    Hurst, Phil
    Royal Society, UK.
    Lammey, Rachael
    Crossref, UK.
    MacCallum, Catriona
    Hindawi, UK.
    Marusic, Ana
    University of Split School of Medicine, Croatia.
    Mehmani, Bahar
    Elsevier, Netherlands.
    Murray, Hollydawn
    F1000 Research, UK.
    Nicholas, Duncan
    DN Journal Publishing Services, UK.
    Pedrazzi, Giorgio
    University of Brescia, Italy.
    Puebla, Iratxe
    PLoS ONE, UK.
    Rodgers, Peter
    e-Life, UK.
    Ross-Hellauer, Tony
    Know-Center, Austria.
    Seeber, Marco
    University of Agder, Norway.
    Shankar, Kalpana
    University College Dublin, Ireland.
    Rossum, Joris Van
    International Association of STM Publishers, UK.
    Willis, Michael
    Wiley, UK.
    Unlock ways to share data on peer review2020Ingår i: Nature, ISSN 0028-0836, Vol. 578, nr 7796, s. 512-514Artikel i tidskrift (Refereegranskat)
  • 16.
    Perez-Palacin, Diego
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Merseguer, Jose
    Univ Zaragoza, Spain.
    Requeno, Jose, I
    Univ Zaragoza, Spain.
    Guerriero, M.
    Politecn Milan, Italy.
    Di Nitto, Elisabetta
    Politecn Milan, Italy.
    Tamburri, D. A.
    Politecn Milan, Italy.
    A UML Profile for the Design, Quality Assessment and Deployment of Data-intensive Applications2019Ingår i: Software and Systems Modeling, ISSN 1619-1366, E-ISSN 1619-1374, Vol. 18, nr 6, s. 3577-3614Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Big Data or Data-Intensive applications (DIAs) seek to mine, manipulate, extract or otherwise exploit the potential intelligence hidden behind Big Data. However, several practitioner surveys remark that DIAs potential is still untapped because of very difficult and costly design, quality assessment and continuous refinement. To address the above shortcoming, we propose the use of a UML domain-specific modeling language or profile specifically tailored to support the design, assessment and continuous deployment of DIAs. This article illustrates our DIA-specific profile and outlines its usage in the context of DIA performance engineering and deployment. For DIA performance engineering, we rely on the Apache Hadoop technology, while for DIA deployment, we leverage the TOSCA language. We conclude that the proposed profile offers a powerful language for data-intensive software and systems modeling, quality evaluation and automated deployment of DIAs on private or public clouds.

  • 17.
    Jalilzadehazhari, Elaheh
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för skog och träteknik (SOT).
    Vadiee, Amir
    Mälardalen University, Sweden.
    Johansson, Peter
    Jönköping University, Sweden.
    Achieving a trade‐off construction solution using BIM, an optimization algorithm, and a multi‐criteria decision‐making method2019Ingår i: Buildings, ISSN 2075-5309, E-ISSN 2075-5309, Vol. 9, nr 4, s. 1-14, artikel-id 81Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The Energy Performance of Building Directive obligated all European countries to reduce the energy requirements of buildings while simultaneously improving indoor environment quality. Any such improvements not only enhance the health of the occupants and their productivity, but also provide further economic benefits at the national level. Accomplishing this task requires a method that allows building professionals to resolve conflicts between visual and thermal comfort, energy demands, and life‐cycle costs. To overcome these conflicts, this study exploits the incorporation of building information modelling (BIM), the design of experiments as an optimization algorithm, and the analytical hierarchy process (AHP) into a multi‐criteria decision‐ making method. Any such incorporation can (i) create constructive communication between building professionals, such as architects, engineers, and energy experts; (ii) allow the analysis of the performance of multiple construction solutions with respect to visual and thermal comfort, energy demand, and life‐cycle costs; and (iii) help to select a trade‐off solution, thereby making a suitable decision. Three types of energy‐efficient windows, and five types of ground floors, roofs, and external wall constructions were considered as optimization variables. The incorporation of several methods allowed the analysis of the performance of 375 construction solutions based on a combination of optimization variables, and helped to select a trade‐off solution. The results showed the strength of incorporation for analyzing big‐data through the intelligent use of BIM and a simulation in the field of the built environment, energy, and costs. However, when applying AHP, the results are strongly contingent on pairwise comparisons

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  • 18.
    Nordqvist, Ola
    et al.
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för medicin och optometri (MEO). Region Kalmar County, Sweden.
    Lönnbom Svensson, Ulrika
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för kemi och biomedicin (KOB).
    Brundin, Lars
    County Hospital Kalmar, Sweden;Linköping university, Sweden.
    Wanby, Pär
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för medicin och optometri (MEO). County Hospital Kalmar, Sweden.
    Carlsson, Martin
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för medicin och optometri (MEO). County Hospital Kalmar, Sweden.
    Adherence to risk management guidelines for drugs which cause vitamin D deficiency – big data from the Swedish health system2019Ingår i: Drug, Healthcare and Patient Safety, ISSN 1179-1365, E-ISSN 1179-1365, Vol. 11, s. 19-28Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Purpose: Several medications are known to cause vitamin D deficiency. The aim of this study is to describe vitamin D testing and supplementation in patients using these “risk medications”, thereby assessing adherence to medical guidelines.Patients and methods: A database with electronic health records for the population in a Swedish County (≈240,000 inhabitants) was screened for patients prescribed the pre-defined “risk medications” during a 2-year period (2014–2015). In total, 12,194 patients were prescribed “risk medications” pertaining to one of the three included pharmaceutical groups. Vitamin D testing and concomitant vitamin D supplementation, including differences between the included pharmaceutical groups, was explored by matching personal identification numbers.Results: Corticosteroids were prescribed to 10,003 of the patients, antiepileptic drugs to 1,101, and drugs mainly reducing vitamin D uptake to 864. Two hundred twenty-six patients were prescribed >1 “risk medication”. Seven hundred eighty-seven patients (6.5%) had been tested during the 2-year period. There were no differences regarding testing frequency between groups. Concomitant supplements were prescribed to 3,911 patients (32.1%). It was more common to be prescribed supplements when treated with corticosteroids. Vitamin D supplementation was more common among tested patients in all three groups. Women were tested and supplemented to a higher extent. The mean vitamin D level was 69 nmol/L. Vitamin D deficiency was found in 24.1% of tested patients, while 41.3% had optimal levels. It was less common to be deficient and more common to have optimal levels among patients prescribed corticosteroids.Conclusion: Adherence to medical guidelines comprising testing and supplementation of patients prescribed drugs causing vitamin D deficiency needs improvement in Sweden.

  • 19.
    Skeppstedt, Maria
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). The Institute for Language and Folklore, Sweden;Hokkaido University, Japan.
    Ahltorp, Magnus
    The Institute for Language and Folklore, Sweden.
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Rzepka, Rafal
    Hokkaido University, Japan;RIKEN Center for Advanced Intelligence Project (AIP), Japan.
    Araki, Kenji
    Hokkaido University, Japan.
    Application of a topic model visualisation tool to a second language2019Ingår i: CLARIN 2019 Book of absracts, CLARIN, Common Language Resources and Technology Infrastructure , 2019Konferensbidrag (Refereegranskat)
    Abstract [en]

    We explored adaptions required for applying a topic modelling tool to a language that is very different from the one for which the tool was originally developed. The tool, which enables text analysis on the output of topic modelling, was developed for English, and we here applied it on Japanese texts. As white space is not used for indicating word boundaries in Japanese, the texts had to be pre-tokenised and white space inserted to indicate a token segmentation, before the texts could be imported into the tool. The tool was also extended by the addition of word translations and phonetic readings to support users who are second-language speakers of Japanese.

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  • 20.
    Golub, Koraljka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Hagelbäck, Johan
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Ardö, Anders
    Automatic classification Using DDC on the Swedish Union Catalogue2019Ingår i: European DDC Users Group, EDUG, Annual Meeting 9-10 May 2019: National Library of Sweden, Stockholm, Sweden, 2019Konferensbidrag (Övrigt vetenskapligt)
  • 21.
    Habite, Tadios
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för byggteknik (BY).
    Olsson, Anders
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för byggteknik (BY).
    Oscarsson, Jan
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för byggteknik (BY).
    Automatic detection of pith location along boards of Norway spruce on the basis of data from optical scanning of longitudinal surfaces2019Ingår i: CompWood 2019 - International Conference on Computational Methods in Wood Mechanics - from material properties to Timber Structures, Växjö, Sweden, June 17-19, 2019, Växjö: Lnu Press , 2019, s. 64-64Konferensbidrag (Refereegranskat)
    Abstract [en]

    Different mechanical and physical properties of wood are related to the location of pith. Norway spruce wood from the centre of logs, close to the pith, is characterized by lower longitudinal MOE, larger spiral grain angle, and larger longitudinal shrinkage coefficient than what wood farther away from the pith is [1]. Thus, knowledge of pith location along timber boards may play an important role in both appearance grading and in assessment of mechanical properties such as strength [2]. The current work aims to develop an algorithm which is capable of automatically estimating the pith location of Norway spruce boards, along the boards’ length direction, by utilizing optical scanning of longitudinal surfaces. The initial step of the algorithm is to identify defect free sections along the timber board. This is done by utilizing data from tracheid effect scanning of the four sides of the timber board. Thereafter, a continuous wavelet transform (CWT), similar to fast Fourier transform, is applied on grey scale images from scanning, to analyse the variation of light intensity across the four surfaces at selected positions along the board. Obtained local frequencies correspond to the local annular ring pattern on surfaces. Then, assuming that annular growth rings are concentric circles with the pith in the centre, detected local annular ring wavelengths (using CWT) and artificial annual ring wavelengths corresponding to different hypothetical locations of pith are compared, and an optimization procedure is used to identify the location of pith that minimizes the discrepancy between the detected and artificial sets of annular ring wavelengths. Figure 1 shows grey scale images of short segments of longitudinal surfaces, graphs of the detected local annual ring widths, and a photograph of the board cross section where the determined location of pith is marked out. Preliminary results reveal that data from optical scanners and the suggested method allow for accurate detection of annular ring width and location of pith along boards.

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  • 22.
    Golub, Koraljka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Hagelbäck, Johan
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Ardö, Anders
    Automatic subject classification of Swedish DDC: Impact of tuning and training data set2019Ingår i: 19th European NKOS Workshop, 23rd TPDL: Oslo, 12 September 2019, Networked Knowledge Organization Systems/Services/Structures, NKOS , 2019Konferensbidrag (Refereegranskat)
    Abstract [en]

    The presentation builds on the NKOS 2018 presentation of automatically produced Dewey Decimal Classification (DDC) classes for Swedish union catalogue (LIBRIS). Based on a dataset of 143,838 records, Support Vector Machine with linear kernel outperforms Multinomial Naïve Bayes algorithm. Impact of features shows that using keywords or combining titles and keywords gives better results than using only titles as input. Stemming only marginally improves the results. Removed stop-words reduced accuracy in most cases, while removing less frequent words increased it marginally. Word embeddings combined with different types of neural networks (Simple linear network, Standard neural network, 1D convolutional neural network, Recurrent neural network) produced worse results than Naïve Bayes /Support Vector Machine, but reach close results. The greatest impact is produced by the number of training examples: 81.37% accuracy on the training set is achieved when at least 1,000 records per class are available, and 66.13% when few records on which to train are available.

  • 23.
    Hönel, Sebastian
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Ericsson, Morgan
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Löwe, Welf
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Wingkvist, Anna
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Bayesian Regression on segmented data using Kernel Density Estimation2019Ingår i: 5th annual Big Data Conference: Linnaeus University, Växjö, Sweden, 5-6 December 2019, Zenodo , 2019Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    The challenge of having to deal with dependent variables in classification and regression using techniques based on Bayes' theorem is often avoided by assuming a strong independence between them, hence such techniques are said to be naive. While analytical solutions supporting classification on arbitrary amounts of discrete and continuous random variables exist, practical solutions are scarce. We are evaluating a few Bayesian models empirically and consider their computational complexity. To overcome the often assumed independence, those models attempt to resolve the dependencies using empirical joint conditional probabilities and joint conditional probability densities. These are obtained by posterior probabilities of the dependent variable after segmenting the dataset for each random variable's value. We demonstrate the advantages of these models, such as their nature being deterministic (no randomization or weights required), that no training is required, that each random variable may have any kind of probability distribution, how robustness is upheld without having to impute missing data, and that online learning is effortlessly possible. We compare such Bayesian models against well-established classifiers and regression models, using some well-known datasets. We conclude that our evaluated models can outperform other models in certain settings, using classification. The regression models deliver respectable performance, without leading the field.

  • 24.
    Viebke, Andre
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Memeti, Suejb
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Pllana, Sabri
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Abraham, Ajith
    Machine Intelligence Research Labs (MIR Labs), USA.
    CHAOS: A Parallelization Scheme for Training Convolutional Neural Networks on Intel Xeon Phi2019Ingår i: Journal of Supercomputing, ISSN 0920-8542, E-ISSN 1573-0484, Vol. 75, nr 1, s. 197-227Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Deep learning is an important component of big-data analytic tools and intelligent applications, such as, self-driving cars, computer vision, speech recognition, or precision medicine. However, the training process is computationally intensive, and often requires a large amount of time if performed sequentially. Modern parallel computing systems provide the capability to reduce the required training time of deep neural networks.In this paper, we present our parallelization scheme for training convolutional neural networks (CNN) named Controlled Hogwild with Arbitrary Order of Synchronization (CHAOS). Major features of CHAOS include the support for thread and vector parallelism, non-instant updates of weight parameters during back-propagation without a significant delay, and implicit synchronization in arbitrary order. CHAOS is tailored for parallel computing systems that are accelerated with the Intel Xeon Phi. We evaluate our parallelization approach empirically using measurement techniques and performance modeling for various numbers of threads and CNN architectures. Experimental results for the MNIST dataset of handwritten digits using the total number of threads on the Xeon Phi show speedups of up to 103x compared to the execution on one thread of the Xeon Phi, 14x compared to the sequential execution on Intel Xeon E5, and 58x compared to the sequential execution on Intel Core i5.

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  • 25.
    Laitinen, Mikko
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR). DISA.
    Levin, Magnus
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR). DISA.
    Lakaw, Alexander
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR). DISA.
    Charting New Sources of elf Data: A Multi-Genre Corpus Approach2019Ingår i: From Data to Evidence in English Language Research / [ed] Carla Suhr, Terttu Nevalainen, Irma Taavitsainen, Leiden: Brill Academic Publishers, 2019, s. 326-350Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    The article discusses research that charts new lingua franca English data and broadensthe scope of written elf corpora. We illustrate that, apart from the academic domain,there exist various written genres in non-native contexts in which English is used as asecond language resource alongside native languages. These uncharted data can provideus with new ways of approaching the ongoing globalization of English. The newapproach incorporates a broader perspective on elf than previously, seeing it as onestage in the long diachronic continuum of Englishes rather than as an entity emergingin interaction. The first part details a corpus project that produces written multi-genrecorpora suitable for real-time studies of how ongoing variability is reflected in linguafranca use. It is followed by three case studies investigating quantitative patterns ofongoing change in elf. The conclusions suggest that a diachronically-informed angleto lingua franca use offers a new vantage point not only to elf but also to ongoinggrammatical variability. It shows that the traditional and canonized way of seeing nonnativespeakers/writers is not sufficient, nor is the simplified view of norm dependency of non-native individuals.

  • 26.
    Klompstra, L.
    et al.
    Linköping University, Sweden.
    Strömberg, A.
    Linköping University, Sweden.
    Askenäs, Linda
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för informatik (IK).
    Aidemark, Jan
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för informatik (IK).
    Jaarsma, T.
    Linköping University, Sweden.
    Collaborating with a patient organisation to implement a physical activity intervention2019Ingår i: European Journal of Heart Failure, ISSN 1388-9842, E-ISSN 1879-0844, Vol. 21, s. 468-468Artikel i tidskrift (Övrigt vetenskapligt)
  • 27.
    de Moor, Tine
    et al.
    Utrecht university, Netherlands.
    Farjam, Mike
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Bravo, Giangiacomo
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Dehkordi, Molood
    Forsman, Anders
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för biologi och miljö (BOM).
    Ghorbani, Amineh
    van Weeren, Rene
    Common paths in long-term institutional dynamics: An analysis of rule changes in British and Dutch commons over seven centuries2019Ingår i: Presented at: XVII Biennial IASC Conference, Lima, Peru, July 1-5, 2019, 2019Konferensbidrag (Refereegranskat)
  • 28.
    Dressler, Danny
    et al.
    AIMO AB, Sweden.
    Liapota, Pavlo
    Softwerk AB, Sweden.
    Löwe, Welf
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Data Driven Human Movement Assessment2019Ingår i: Intelligent Decision Technologies 2019: Proceedings of the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT 2019), Volume 2 / [ed] Ireneusz Czarnowski; Robert Howlett; Lakhmi C. Jain, Springer, 2019, s. 317-327Konferensbidrag (Refereegranskat)
    Abstract [en]

    Quality assessment of human movements has many of applications in diagnosis and therapy of musculoskeletal insufficiencies and high performance sport. We suggest five purely data driven assessment methods for arbitrary human movements using inexpensive 3D sensor technology. We evaluate their accuracy by comparing them against a validated digitalization of a standardized human-expert-based assessment method for deep squats. We suggest the data driven method that shows high agreement with this baseline method, requires little expertise in the human movement and no expertise in the assessment method itself. It allows for an effective and efficient, automatic and quantitative assessment of  arbitrary human movements.

  • 29.
    Habite, Tadios
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för byggteknik (BY).
    Olsson, Anders
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för byggteknik (BY).
    Oscarsson, Jan
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för byggteknik (BY).
    Detection of Pith Location of Norway Spruce Timber Boards on the Basis of Optical Scanning2019Ingår i: Proceedings, 21st international nondestructive testing and evaluation of wood symposium: Freiburg, Germany / [ed] Xiping Wang; Udo H. Sauter; Robert J. Ross, Madison, U.S.A: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory , 2019, s. 268-275Konferensbidrag (Refereegranskat)
    Abstract [en]

    Optical scanners are used in the woodworking industry to detect various defects, such as dead and live knots, cracks, and fibre distortions, which are important for the visual appearance grading of wood. Data from scanning is also used to assess mechanical properties such as bending and tensile strength, for the purpose of machine strength grading of sawn timbers. Knowledge of annular ring width and location of pith in relation to board cross-sections, and how these properties vary in the longitudinal direction of boards, is relevant for many purposes, such as assessment of shape stability and mechanical properties of timber. Therefore, the purpose of the present research is to evaluate possibilities to determine annular ring width and location of pith on the basis of scanning of surfaces parallel to the longitudinal board direction. The first step of this novel method is to identify clear wood sections, free of defects along boards. Then time-frequency analysis is applied to assess the variation of light intensity over surfaces of these sections, such that local wavelengths, related to the annular ring width patterns are detected on all four surfaces around the board. Finally, the location of pith is calculated by comparing annular ring width distributions on the different surfaces, and assuming that annular rings are concentric circles with the pith in the centre. Results indicate that optical scanners and the suggested method allow for accurate detection of annular ring width and location of pith along boards.

  • 30.
    Golub, Koraljka
    et al.
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för kulturvetenskaper (KV).
    Göransson, Elisabet
    Lund University, Sweden.
    Foka, Anna
    Uppsala University, Sweden;Umeå University, Sweden.
    Huvila, Isto
    Uppsala University, Sweden.
    Digital humanities in Sweden and its infrastructure: Status quo and the sine qua non2019Ingår i: Digital Scholarship in the Humanities, ISSN 2055-7671, E-ISSN 2055-768X, s. 1-10Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The article offers a state-of-the-art overview of a number of Digital Humanities (DH) initiatives that have emerged in Sweden over the past decade. We identify two major developments that seem to be taking place within DH, with a specific focus on the infrastructural aspects of the development: (1) a strive to open up and broaden the research output and (2) multi-disciplinary collaboration and its effects. The two major components accentuate the new infrastructural patterns that are developing and the challenges these infer on universities. While current research is at large multi-disciplinary, developing infrastructures also enable the move towards post-disciplinarity, bringing the universities closer to the surrounding society. At five universities in Sweden, individual-sited infrastructures supporting DH research have been built today. They are complemented by national and international infrastructures, thus supporting developments and tackling some of the major challenges. In the article, the relations between individual disciplines, the question of multi- and post-disciplinarity, and the field of Digital Humanities are discussed, while stressing the factors necessary—sine qua non—for a fruitful development of the scholarly infrastructures.

  • 31.
    Farjam, Mike
    et al.
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Bravo, Giangiacomo
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Forsman, Anders
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för biologi och miljö (BOM).
    de Moor, Tine
    Utrecht university, Netherlands.
    Ghorbani, Amineh
    Dehkordi, Molood
    van Weeren, Rene
    Eco-evolutionary perspectives on institutional dynamics of historical commons advice about sustainable utilization of shared resources2019Ingår i: Presented at: XVII Biennial IASC Conference, Lima, Peru, July 1-5, 2019, 2019Konferensbidrag (Refereegranskat)
  • 32.
    Martins, Rafael Messias
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Efficient Dynamic Time Warping for Big Data Streams2019Ingår i: Proceedings of the IEEE International Conference on Big Data (Big Data '18): Workshop on Real-time & Stream Analytics in Big Data & Stream Data Management / [ed] Abe, N; Liu, H; Pu, C; Hu, X; Ahmed, N; Qiao, M; Song, Y; Kossmann, D; Liu, B; Lee, K; Tang, J; He, J; Saltz, J, IEEE, 2019, s. 2924-2929Konferensbidrag (Refereegranskat)
    Abstract [en]

    Many common data analysis and machine learning algorithms for time series, such as classification, clustering, or dimensionality reduction, require a distance measurement between pairs of time series in order to determine their similarity. A variety of measures can be found in the literature, each with their own strengths and weaknesses, but the Dynamic Time Warping (DTW) distance measure has occupied an important place since its early applications for the analysis and recognition of spoken word. The main disadvantage of the DTW algorithm is, however, its quadratic time and space complexity, which limits its practical use to relatively small time series. This issue is even more problematic when dealing with streaming time series that are continuously updated, since the analysis must be re-executed regularly and with strict running time constraints. In this paper, we describe enhancements to the DTW algorithm that allow it to be used efficiently in a streaming scenario by supporting an append operation for new time steps with a linear complexity when an exact, error-free DTW is needed, and even better performance when either a Sakoe-Chiba band is used, or when a sliding window is the desired range for the data. Our experiments with one synthetic and four natural data sets have shown that it outperforms other DTW implementations and the potential errors are, in general, much lower than another state-of-the-art approximated DTW technique.

  • 33.
    Throfast, Victoria
    et al.
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för medicin och optometri (MEO).
    Hellström, Lina
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för medicin och optometri (MEO). Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för hälso- och vårdvetenskap (HV). Kalmar County Hospital, Sweden.
    Hovstadius, Bo
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för medicin och optometri (MEO).
    Petersson, Göran
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för medicin och optometri (MEO).
    Ericson, Lisa
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för medicin och optometri (MEO).
    e-Learning for the elderly on drug utilization: a pilot study2019Ingår i: Health Informatics Journal, ISSN 1460-4582, E-ISSN 1741-2811, Vol. 25, nr 2, s. 227-239Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This study explores the attitudes of elderly people to the use of electronic educational technology (e-learning) on drug utilization, with particular emphasis on the layout, usability, content, and level of knowledge in the tool. e-Learning modules were evaluated by a group of elderly people (aged ⩾65 years, n = 16) via a questionnaire comprising closed and open-ended questions. Both qualitative and quantitative analyses of the responses showed mostly positive reviews. The results indicate that the e-learning modules are a suitable tool for distributing information and education and that they can be managed by elderly individuals who are familiar with computers, allowing them to learn more about medication use.

  • 34.
    Ekstedt, Mirjam
    et al.
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för hälso- och vårdvetenskap (HV). Karolinska Institutet, Sweden.
    Schildmeijer, Kristina
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för hälso- och vårdvetenskap (HV).
    Wennerberg, Carolina
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för hälso- och vårdvetenskap (HV). Kalmar County Council, Sweden.
    Nilsson, Lina
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för informatik (IK). Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för medicin och optometri (MEO).
    Wannheden, Carolina
    Karolinska Institutet, Sweden.
    Hellström, Amanda
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för hälso- och vårdvetenskap (HV).
    Enhanced patient activation in cancer care transitions: protocol for a randomized controlled trial of a tailored eectronic health intervention for men with prostate cancer2019Ingår i: JMIR Research Protocols, ISSN 1929-0748, E-ISSN 1929-0748, Vol. 8, nr 3, s. 1-13, artikel-id e11625Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Background: Prostate cancer has increased in incidence worldwide and is the leading cause of cancer death in 24 countries. The most common treatment is radical prostatectomy. However, surgery is associated with postoperative complications such as urinary incontinence and sexual dysfunction, causing decreased quality of life. If survivors are encouraged to be more active in self-care management, the symptom burden may decrease and quality of life may improve. An electronic health (eHealth) intervention based on motivational behavioral theory has been developed for this purpose.

    Objective: This study aimed to compare the effectiveness of standard care in combination with a tailored eHealth and mobile health self-management support system, electronic Patient Activation in Treatment at Home (ePATH), with standard care of adverse effects of prostate cancer treatment (urinary incontinence and sexual functioning) in men undergoing radical prostatectomy. The secondary aim was to test the effect on patient activation, motivation, overall well-being, and health literacy over time in and between groups.

    Methods: A pragmatic multicenter, block-randomized controlled trial with 2 study arms, standard care (control) and eHealth-assisted standard care (intervention), for patients undergoing radical prostatectomy. For 80% power, a sample of 242 men will need to be recruited.

    Results: Recruitment started in January 2018 and is expected to be completed by August 2019. Data collection will be completed in August 2020. The first cross-sectional results from this trial are anticipated to be published in January 2020.

    Conclusions: With the increasing number of prostate cancer survivors, attention should be paid to rehabilitation, psychosocial care, and support for endurance of self-care to reduce suffering from adverse treatment effects, poor quality of life, and depression because of postoperative complications. This project may increase knowledge of how patients can be supported to feel involved in their care and returning to as normal a life as possible. The anticipated effects of ePATH could improve health outcomes for individuals and facilitate follow-up for health care professionals.

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  • 35.
    Farjam, Mike
    et al.
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Loxbo, Karl
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för statsvetenskap (ST).
    Experimental evidence of a bandwagon effect on voting2019Ingår i: 6th International Meeting on Experimental and Behavioral Social Sciences (IMEBESS), 2019Konferensbidrag (Refereegranskat)
    Abstract [en]

    Social influence and conformity have been thoroughly studied by social psychologists, leading political scientist to the postulation of the bandwagon effect. However, despite its relevance, the bandwagon effect, claiming that seeing pre-election polls makes votes for majority options more likely, has not been properly tested for political voting and evidence regarding this effect is mixed. Experiments either were ran in very abstract contexts only vaguely representing political voting, or only testing the effect of polls on opinions or hypothetical votes . We present an unique experimental design with more realism than previous designs, keeping the experimental control needed to make causal claims.

    We tested in an online experiment with 1115 participants from the US how votes change when pre-election polls are shown. Our experimental design is unique in that the votes of the participants have real-world consequences within their electoral area (the US), empower actual political organizations falling on a left-right spectrum, and the votes are on issues currently debated in US politics (firearms, abortion, immigration, and environment). Per issue participants chose between three different charities, representing different positions within the political spectrum. As a result of the experiment 1200$ were distributed across these charities as suggested by the vote.

    In line with the bandwagon-effect, we find clear evidence that seeing poll results makes votes for majority opinion more likely. After seeing the surveys, majority opinions received an extra ~7% of votes. In our experiment this effect did not depend on the electoral system and was robust against controlling for the gender and age of voters and the self-assessment on a left-right spectrum. However, we find evidence that under extreme-polarization (where moderate position are the least popular option) the bandwagon-effect is much weaker.

  • 36.
    Farjam, Mike
    et al.
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Nikolaychuk, Olexandr
    Friedrich Schiller University, Germany.
    Bravo, Giangiacomo
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Experimental evidence of an attitude-behaviour gap for climate change mitigation in high cost conditions2019Ingår i: Presented at 6th International Meeting on Experimental and Behavioral Social Sciences (IMEBESS), Utrecht, May 2-4, 2019., 2019Konferensbidrag (Refereegranskat)
    Abstract [en]

    An established research result is that people's environmental attitudes only loosely translate into actions effectively reducing their environmental impact, something known as the attitude-behaviour gap. On the other hand, correct information and environmental education are often considered a key to promote sustainability, which raises the question of when attitudes can actually work as a lever to promote environmental objectives and, conversely, when other factors have a better chance to succeed. To answer these questions, we tested the effect of environmental attitudes in an online experiment with real money at stake and real-world climate mitigation consequences. We found that environmental attitudes mainly affected behaviour in a low cost situation, while their effect was reduced when the stakes were higher. This finding is consistent with the low cost hypothesis of environmental behaviour and has important consequences for the shaping of more effective climate policies in a democratic context.

  • 37.
    Farjam, Mike
    et al.
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Nikolaychuk, Olexandr
    Friedrich Schiller University, Germany.
    Bravo, Giangiacomo
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Experimental evidence of an environmental attitude-behavior gap in high-cost situations2019Ingår i: Ecological Economics, ISSN 0921-8009, E-ISSN 1873-6106, Vol. 166, s. 1-12, artikel-id 106434Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    So far, there has been mixed evidence in the literature regarding the relationship between environmental attitudes and actual `green' actions, something known as the attitude-behavior gap. This raises the question of when attitudes can actually work as a lever to promote environmental objectives, such as climate change mitigation, and, conversely, when other factors would be more effective. This paper presents an online experiment with real money at stake and real-world consequences designed to test the effect of environmental attitudes on behavior under various conditions. We found that environmental attitudes affected behavior only in low-cost situations. This finding is consistent with the low-cost hypothesis of environmental behavior postulating that concerned individuals will undertake low-cost actions in order to reduce the cognitive dissonance  between their attitudes and rational realization of the environmental impact of their behavior but avoid higher-cost actions despite their greater potential as far as environmental protection. This finding has important consequences for the design of more effective climate policies in a democratic context as it puts limits on what can be achieved by raising environmental concern alone.

    Publikationen är tillgänglig i fulltext från 2021-09-01 08:00
  • 38.
    Farjam, Mike
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Experimental evidence of the bandwagon effect on voting2019Ingår i: Presented at: 2019 European ESA Meeting, Dijon, France, 2019Konferensbidrag (Refereegranskat)
  • 39.
    Aidemark, Jan
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för informatik (IK).
    Askenäs, Linda
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för informatik (IK).
    Fall Prevention as Personal Learning and Changing Behaviors: Systems and Technologies2019Ingår i: CENTERIS 2019 - International Conference on ENTERprise Information Systems / ProjMAN 2019 - International Conference on Project MANagement / HCist 2019 - International Conference on Health and Social Care Information Systems and Technologies, CENTERIS/ProjMAN/HCist 2019 / [ed] Maria Manuela Cruz-Cunha, Ricardo Martinho, Rui Rijo, Emanuel Peres, Dulce Domingos, Elsevier, 2019, s. 498-507Konferensbidrag (Refereegranskat)
    Abstract [en]

    While living longer at home is the preferred option for the elderly, disease, accidents or general health decline might make this hard. Fall accidents, which are among the chief causes of unforced injury leading to hospitalization, must be viewed as a strong factor working against the possibilities for the elderly of living longer at home. Although many fall prevention programs have been developed and applied, and checklists and advice abound, most of these originate in the professional care area or depend on care professionals. In this paper, we present a fall prevention concept directed towards elderly people living at home, with the intention of providing a safer environment ensuring more years of doing this in a healthy manner. There are several obstacles for a successful implementation of fall prevention, many pending on the attitudes and thought systems of the elderly user community, including low risk awareness, technological stigmata, refusal to be associated with health problems and a general “not for me” world view. The paper presents an AI/IoT-driven learning environment for fall prevention which facilitates living independently and improved self-understanding to provide for easier everyday living. The central design idea is to lead the user through a learning process including acquiring knowledge of fall prevention, personal characteristics, taking fall prevention action and understanding the outcomes of changed behaviors. The concluding outcome is a discussion of a set of design variables for the effective implementation of fall prevention systems, including a holistic view of fall prevention and aging, open platform technologies, a flexible and adaptable module approach, feedback-based learning, IoT/sensor-driven learning, personalization and goal orientation and the dual use of technology avoiding technology stigmas.

  • 40.
    Natalini, Davide
    et al.
    Anglia Ruskin University, UK.
    Bravo, Giangiacomo
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Jones, Aled Wynne
    Anglia Ruskin University, UK.
    Global food security and food riots: an agent-based modelling approach2019Ingår i: Food Security, ISSN 1876-4517, E-ISSN 1876-4525, Vol. 11, nr 5, s. 1153-1173Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Due to negative consequences of climate change for agriculture and food production shocks affecting different areas of the world, the past two decades saw the conditions of global food security increasingly worsen. This has resulted in negative consequences for the world economy, partly causing international food price spikes and social upheavals. In this paper we present statistical findings along with a preliminary version of an original agent-based model called the Dawe Global Security Model that simulates the global food market and the political fragility of countries. The model simulates the effects of food insecurity on international food prices and how these, coupled with national political fragility and international food trade can, in turn, increase the probability of food riots in countries. The agents in the model are the 213 countries of the world whose characteristics reflect empirical data and the international trade of food is also simulated based on real trade partnerships and data. The model has been informed, calibrated and validated using real data and the results of these procedures are presented in the paper. To further test the model we also present the model’s forecasts for the near future in terms of food prices and incidence of food riots. The Dawe Global Security Model can be used to test scenarios on the evolution of shocks to global food production and analyse consequences for food riots. Further developments of the model can include national responses to food crises to investigate how countries can influence the spread of global food crises.

  • 41.
    Pohl, Margit
    et al.
    Vienna University of Technology, Austria.
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Human Factors and Multilayer Networks2019Ingår i: Workshop on Visualization of Multilayer Networks (MNLVIS '19) at IEEE VIS '19, October 21, 2019, Vancouver, BC, Canada, 2019Konferensbidrag (Refereegranskat)
    Abstract [en]

    Analysts of specific application domains, such as experts in systems biology or social scientists, are often interested to visually analyze a number of different network structures in conjunction, for example by using various visual structures of so-called multilayer networks. From the perspective of the human analyst, a sufficient perception and, consequently, a good understanding of those visual representations of multilayer networks is a non-trivial and often challenging task. Despite this practical importance and the clearly interesting visualization challenges, only few evaluation studies exist that investigate usability and cognitive issues of complex networks or, more specifically, multilayer networks. In this position paper, we address two main goals. On the one hand, we discuss existing studies from the fields of human-computer interaction and cognitive psychology that could inform the designers of multilayer network visualization in the future. On the other hand, we formulate first tentative recommendations for the design of multilayer networks, identify open issues in this context, and clarify possible future directions of research.

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  • 42.
    Hönel, Sebastian
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Ericsson, Morgan
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Löwe, Welf
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Wingkvist, Anna
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Importance and Aptitude of Source code Density for Commit Classification into Maintenance Activities2019Ingår i: 2019 IEEE 19th International Conference on Software Quality, Reliability and Security (QRS) / [ed] Dr. David Shepherd, IEEE, 2019, s. 109-120Konferensbidrag (Refereegranskat)
    Abstract [en]

    Commit classification, the automatic classification of the purpose of changes to software, can support the understanding and quality improvement of software and its development process. We introduce code density of a commit, a measure of the net size of a commit, as a novel feature and study how well it is suited to determine the purpose of a change. We also compare the accuracy of code-density-based classifications with existing size-based classifications. By applying standard classification models, we demonstrate the significance of code density for the accuracy of commit classification. We achieve up to 89% accuracy and a Kappa of 0.82 for the cross-project commit classification where the model is trained on one project and applied to other projects. Such highly accurate classification of the purpose of software changes helps to improve the confidence in software (process) quality analyses exploiting this classification information.

  • 43.
    Jusufi, Ilir
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Memedi, Mevludin
    Örebro University, Sweden.
    Interactive visualization of sensor and self-reported data of patients with Parkinson's disease2019Ingår i: MIRAI AGEING Seminar, November 13-14, 2019, Stockh, 2019Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    Advancements in telemedicine have been helpful for frequent monitoring of patients with Parkinson's disease (PD) from remote locations and assessment of their individual symptoms and treatment-related complications. These data can be useful for helping clinicians and patients to interpret symptom states and individually tailor the treatments by visualizing the physiological information collected by sensor-based systems as well as patient self-reported states. Here we present various visualization and interaction techniques to help physicians explore patient’s daily activities, which could be useful for guiding them during the decision-making process. An interface is designed to visualize symptom and medication information, collected by an Internet of Things-based system comprising of a smartphone, electronic dosing device, wrist sensor and a bed sensor.

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  • 44.
    Jusufi, Ilir
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Memedi, Mevludin
    Örebro University. Sweden.
    Interactive visualization tools for improving empowerment and treatment of Parkinson's disease patients2019Ingår i: MIRAI AGEING Workshop, June 2-5, 2019, Tokyo, 2019Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    Advancements in telemedicine have been helpful for frequent monitoring of patients with Parkinson's disease (PD) from remote locations and assessment of their individual symptoms and treatment-related complications. These data can be useful for helping clinicians and patients to interpret symptom states and individually tailor the treatments by visualizing the physiological information collected by sensor-based systems. Here we present various visualization and interaction techniques developed to help patients track their daily activities. We also present our most recent development to aid physicians in exploring this data in more detailed fashion. Both sets of interfaces are designed to visualize symptom and medication information, collected by an Internet of Things (IoT)-based system comprising of a smartphone, electronic dosing device, wrist sensor and a bed sensor.

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  • 45.
    Farjam, Mike
    et al.
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Nikolaychuk, Olexandr
    Friedrich Schiller University, Germany.
    Bravo, Giangiacomo
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Investing into climate change mitigation despite the risk of failure2019Ingår i: Climatic Change, ISSN 0165-0009, E-ISSN 1573-1480, Vol. 154, nr 3-4, s. 453-460Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    In order to convince both policy makers and the general public to engage in climate change mitigation activities, it is crucial to communicate the inherent risks in an effective way. Due to the complexity of the system, mitigation activities cannot completely rule out the possibility of the climate reaching a dangerous tipping point but can only reduce it to some unavoidable residual risk level. We present an online experiment based on a sample of US citizens and designed to improve our understanding of how the presence of such residual risk affects the willingness to invest into climate change mitigation. We found that, far from reducing them, the presence of residual risk actually increases investments into mitigation activities. This result suggests that scientists and policy makers should consider being more transparent about communicating the residual risks entailed by such initiatives.

  • 46.
    Memeti, Suejb
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Pllana, Sabri
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Ferati, Mexhid
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för informatik (IK).
    Kurti, Arianit
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    Jusufi, Ilir
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).
    IoTutor: How Cognitive Computing Can Be Applied to Internet of Things Education2019Konferensbidrag (Refereegranskat)
    Abstract [en]

    We present IoTutor that is a cognitive computing solution for education of students in the IoT domain. We implement the IoTutor as a platform-independent web-based application that is able to interact with users via text or speech using natural language. We train the IoTutor with selected scientific publications relevant to the IoT education. To investigate users' experience with the IoTutor, we ask a group of students taking an IoT master level course at the Linnaeus University to use the IoTutor for a period of two weeks. We ask students to express their opinions with respect to the attractiveness, perspicuity, efficiency, stimulation, and novelty of the IoTutor. The evaluation results show a trend that students express an overall positive attitude towards the IoTutor with majority of the aspects rated higher than the neutral value.

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  • 47.
    Tyrkkö, Jukka
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Kinship References in the British Parliament, 1800-20052019Ingår i: Reference and Identify in Public Discourses / [ed] Ursula Lutzky, Minna Nevala, Amsterdam: John Benjamins Publishing Company, 2019, s. 97-124Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    Family and kinship are fundamental concepts of human society and of political governance. Proceeding from the notion that frequency of reference can be taken as a simple measure of visibility and representation, this study examines diachronic trends of kinship reference in British parliamentary debates from 1800 to 2005. Using the Hansard Corpus and pattern-driven corpus linguistic methods, I show that changes in the frequencies of reference to kin reflect societal attitudes to gender roles.

  • 48.
    Boman, Magnus
    et al.
    KTH Royal Instute of Technology, Sweden.
    Ben Abdesslem, Fehmi
    RISE, Sweden.
    Forsell, Erik
    Karolinska Institutet, Sweden;Region Stockholm, Sweden.
    Gillblad, Daniel
    RISE, Sweden.
    Görnerup, Olof
    RISE, Sweden.
    Isacsson, Nils
    Karolinska Institutet, Sweden;Region Stockholm, Sweden.
    Sahlgren, Magnus
    RISE, Sweden.
    Kaldo, Viktor
    Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för psykologi (PSY). Karolinska Institutet, Sweden;Region Stockholm, Sweden.;Linnaeus Univ, Fac Hlth & Life Sci, Dept Psychol, Vaxjo, Sweden.
    Learning machines in Internet-delivered psychological treatment2019Ingår i: Progress in Artificial Intelligence, ISSN 2192-6352, Vol. 8, nr 4, s. 475-485Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    A learning machine, in the form of a gating network that governs a finite number of different machine learning methods, is described at the conceptual level with examples of concrete prediction subtasks. A historical data set with data from over 5000 patients in Internet-based psychological treatment will be used to equip healthcare staff with decision support for questions pertaining to ongoing and future cases in clinical care for depression, social anxiety, and panic disorder. The organizational knowledge graph is used to inform the weight adjustment of the gating network and for routing subtasks to the different methods employed locally for prediction. The result is an operational model for assisting therapists in their clinical work, about to be subjected to validation in a clinical trial.

  • 49. Ghorbani, Amineh
    et al.
    Dehkordi, Molood
    Bravo, Giangiacomo
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    Farjam, Mike
    Linnéuniversitetet, Fakulteten för samhällsvetenskap (FSV), Institutionen för samhällsstudier (SS).
    De Moor, Tine
    van Weeren, René
    Long-term Dynamics of Institutions: An empirically tested model2019Konferensbidrag (Refereegranskat)
  • 50.
    Hiltunen, Turo
    et al.
    University of Helsinki, Finland.
    Tyrkkö, Jukka
    Linnéuniversitetet, Fakulteten för konst och humaniora (FKH), Institutionen för språk (SPR).
    Manual to the LMEMT corpus2019Ingår i: Late Modern English Medical Texts: Writing medicine in the eighteenth century / [ed] Irma Taavitsainen, Turo Hiltunen, Amsterdam: John Benjamins Publishing Company, 2019, s. 337-358Kapitel i bok, del av antologi (Övrigt vetenskapligt)
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