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I ärendehanteringssystem utgör avslutade ärenden en värdefull datamängd bestående av par av frågor och svar som organisationer med rätt metoder kan dra nytta av för att utvinna fördelar. I denna studie har en Sentence Transformers-modell blivit finjusterad för question answering som tillsammans med en datamängd från ett ärendehanteringssystem automatiskt kan besvara organisationsspecifika frågor i det svenska språket. Modellen bygger på en semantisk jämförelsemekanik för att identifiera vilken tidigare fråga i datamängden som är mest lik en ny fråga, för att således generera den tidigare frågans korresponderande svar som utdata. Den datamängden som användes till modellen bestod av 75 par av frågor och svar från ett ärendehanteringssystem. Inför testningen av modellen skapades 61 testfrågor där varje fråga var helt semantiskt lika minst en fråga som förekom bland de 75 frågorna i datamängden, samtidigt som de skiljde sig i övrigt gällande meningsuppbyggnader och inkluderade termer. Vid testningen användes testfrågorna för att mäta modellens förmåga att besvara frågor korrekt samt för att mäta prestandan på jämförelsemekaniken. Testresultaten visade att modellen kunde besvara frågor med en pricksäkerhet på 78,7%, och att jämförelsemekaniken kunde med en pricksäkerhet på 67,2% para ihop semantiskt helt lika frågor. Closed tickets within ticket management systems form a valuable dataset consisting of pairs of questions and answers that organizations can use in different ways and benefit from. In this study a Sentence Transformers model has been fine-tuned to use such a dataset for question answering to be able to automatically answer organization-specific questions in Swedish. The model is based on a semantic comparison mechanism to identify which previous question in the dataset is most similar to a new question, in order to generate the corresponding answer to the previous question as output. The dataset used for the model consisted of 75 pairs of questions and answers from a ticket management system. Before testing the model, 61 test questions were created where each question was semantically identical to at least one question that appeared among the 75 questions in the dataset, while at the same time differing in terms of sentence structure and included terms. During testing, the test questions were used to measure the model's ability to correctly answer questions and the performance of the comparison mechanism. The results showed that the model could answer questions with an accuracy of 78.7 %, and that the comparison mechanism could match semantically identical questions with an accuracy of 67.2 %.

The increasing importance of cross-border trade has brought the topic of allocating cross-border transmission capacity under the limelight. In this paper, we focus on two different transmission capacity calculation methods, namely, Available Transfer Capacity and Flow-based Capacity allocation, in the continuous intraday electricity market. The effect of these two methods is studied on the continuous intraday electricity market through an agent-based model. The model comprises market participants, including renewable producers, consumers, storage, and thermal power producers. The market operator agent is responsible for managing the shared order book and clearing orders while the transmission system operator agent calculates and updates the cross-border transmission capacities in the continuous intraday electricity market. The price-volume decisions for the orders posted by the market participants are determined by two different strategies where one of them adapts to changing market conditions and new information while the other is naive. The model accounts for ramping constraints which enables the analysis of the trading behavior and interaction of agents across multiple delivery products simultaneously. A switch parameter is availed in the trading timeline for the thermal and storage agents to change from a less conservative approach of ignoring the ramping and charging/discharging rate constraints respectively to considering them. An interplay between different switch parameters and cross-border transmission capacity calculation methods is studied. QC 20220830Preprint, submitted to Journal of Applied Energy

Part of book: ISBN 978-1-009-10023-6QC 20221219

Extractivism has been predominant in the Arctic since whaling and sealing campaigns began in the sixteenth century, followed by mining and drilling for oil and gas. In this chapter we present some of the main features of this ‘extractivist history’ of the circumpolar region. We organize this development along a set of themes. First, we explore the extractive frame of mind in Western thought and how it has continued to shape visions of the region. Second, we explore the material and social impacts of historical extractivism. Third, we use the theoretical lens of colonialism and decolonialism to understand the social and political relations, especially with aboriginal populations. Fourth, we examine the, often fraught, recent and contemporary debates around contemporary and future extractivism and its implications for the Arctic. The historical overview serves the purpose of providing a legible pattern from what is also a range of diverse and rich variations. A key finding is that extractivism is a lasting legacy and a path dependency of the region. At the same time resource extraction has many problematic sides that the seeking of new Arctic futures will have to deal with. QC 20221215Chapter in book: ISBN 978-1-009-10023-6

Part of book: ISBN 978-1-009-10023-6QC 20221219

This chapter explores knowledge associated with the humanities that hasbeen developed in practice-oriented research domains of the Swedishgovernment to help solve societal challenges. I study the Swedish NationalDefense Research Establishment [Försvarets forskningsanstalt] (FOA). Theconcept of “borderline humanities” refers to research activities that didnot abide by academic distinctions between the humanities, the socialsciences, and the natural sciences. The study shows how knowledge onhuman culture, history, language, and beliefs developed in a researchenvironment that drew on diverse fields of both research and practice.The chapter brings to the fore shared themes and concepts betweendifferent research fields and draws attention to how this affects the viewof research impact. Part of book: ISBN 978-90-485-5502-4QC 20220815

QC 20221011 ERC StG 716211

This article discusses David Lowenthal's last book, Quest for the Unity of Knowledge, which was published posthumously by Routledge in 2019 (available in print from November 2018). The book is based on a series of lectures that he gave while a visiting fellow with the KTH Royal Institute of Technology’s Environmental Humanities Laboratory in Stockholm in 2012. Aimed at a general academic audience, it is an erudite and passionate overview showing how ingrained bias towards unity or diversity shapes major issues in education, religion, genetics, race relations, heritage governance, and environmental policy. Quest for the Unity of Knowledge explores the Two Cultures debate, initiated by C.P. Snow, concerning the gulf between the sciences and the humanities. It covers areas such as conservation, ecology, history of ideas, museology, landscape, and heritage studies, aligning with Lowenthal's career-long research interests, and serving as well as a meta-comment to the emerging Environmental Humanities. QC 20220412

In the late twentieth century, as the United Nations struggled to come up with a new legal system for the oceans, one woman saw the opportunity to promote radical new ideas of justice and internationalism. Ocean governance expert Elisabeth Mann Borgese (1918–2002) spent decades working with the United Nations Law of the Sea Convention. Throughout this sprawling series of global conferences, she navigated allegiances and enmities, intrigues and setbacks, fighting determinedly to develop a just ocean order. Featuring extensive research and new interviews with Mann Borgese’s colleagues and family, this book explores timeless questions of justice and international collaboration and asks whether the extraordinary drive and vision of a single person can influence the course of international law. QC 20220412

The use of Deep Learning methods for Document Understanding has been embraced by the research community in recent years. A requirement for Deep Learning methods and especially Transformer Networks, is access to large datasets. The objective of this thesis was to evaluate a state-of-the-art model for Document Layout Analysis on a public and custom dataset. Additionally, the objective was to build a pipeline for building a dataset specifically for Visually Rich Documents. The research methodology consisted of a literature study to find the state-of-the-art model for Document Layout Analysis and a relevant dataset used to evaluate the chosen model. The literature study also included research on how existing datasets in the domain were collected and processed. Finally, an evaluation framework was created. The evaluation showed that the chosen multi-modal transformer network, LayoutLMv2, performed well on the Docbank dataset. The custom build dataset was limited by class imbalance, although good performance for the larger classes. The annotator tool and its auto-tagging feature performed well and the proposed pipelined showed great promise for creating datasets with Visually Rich Documents. In conclusion, this thesis project answers the research questions and suggests two main opportunities. The first is to encourage others to build datasets with Visually Rich Documents using a similar pipeline to the one presented in this paper. The second is to evaluate the possibility of creating the visual token information for LayoutLMv2 as part of the transformer network rather than using a separate CNN. Användningen av Deep Learning-metoder för dokumentförståelse har anammats av forskarvärlden de senaste åren. Ett krav för Deep Learning-metoder och speciellt Transformer Networks är tillgång till stora datamängder. Syftet med denna avhandling var att utvärdera en state-of-the-art modell för analys av dokumentlayout på en offentligt tillgängligt dataset. Dessutom var målet att bygga en pipeline för att bygga en dataset specifikt för Visuallt Rika Dokument. Forskningsmetodiken bestod av en litteraturstudie för att hitta modellen för Document Layout Analys och ett relevant dataset som användes för att utvärdera den valda modellen. Litteraturstudien omfattade också forskning om hur befintliga dataset i domänen samlades in och bearbetades. Slutligen skapades en utvärderingsram. Utvärderingen visade att det valda multimodala transformatornätverket, LayoutLMv2, fungerade bra på Docbank-datasetet. Den skapade datasetet begränsades av klassobalans även om bra prestanda för de större klasserna erhölls. Annotatorverktyget och dess autotaggningsfunktion fungerade bra och den föreslagna pipelinen visade sig vara mycket lovande för att skapa dataset med VVisuallt Rika Dokument.svis besvarar detta examensarbete forskningsfrågorna och föreslår två huvudsakliga möjligheter. Den första är att uppmuntra andra att bygga datauppsättningar med Visuallt Rika Dokument med en liknande pipeline som den som presenteras i denna uppsats. Det andra är att utvärdera möjligheten att skapa den visuella tokeninformationen för LayoutLMv2 som en del av transformatornätverket snarare än att använda en separat CNN.