Publikationer från Uppsala Universitet
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viper : High-precision radial velocities from the optical to the infrared Reaching 3 m/s in the K band of CRIRES+ with telluric modelling
No full textContext. High-precision radial velocity (RV) measurements with slit spectrographs require the instrument profile (IP) and Earth's atmospheric spectrum to be known and to be incorporated into the RV calculation. Aims. We developed an RV pipeline, called Velocity and IP EstimatoR (viper), to achieve high-precision RVs in the near-infrared (NIR). The code is able to process observations taken with a gas cell and includes modelling of the IP and telluric lines. Methods. We utilised least-square fitting and telluric forward modelling to account for instrument instabilities and atmospheric absorption lines. As part of this process, we demonstrate the creation of telluric-free stellar spectra. Results. By applying viper to observations obtained with the upgraded CRyogenic high-resolution InfraRed Echelle Spectrograph (CRIRES+) and a gas absorption cell in the K band, we are able to reach an RV precision of around 3 m/s over a time span of 2.5 years. For observations using telluric lines for the wavelength reference, an RV precision of 10 m/s is achieved. Conclusions. We demonstrate that despite telluric contamination, a high RV precision is possible at NIR wavelengths, even for a slit spectrograph with varying IP. Furthermore, we show that CRIRES+ performs well and is an excellent choice for science studies requiring precise stellar RV measurements in the infrared
How can the events surrounding the Imprisoning War be described through the lens of retcon? : An in-game and transmedia analysis of The Legend of Zelda franchise
No full textThis paper attempted to investigate the use of retcons (retroactive continuity) across the long running franchise The Legend of Zelda, focusing on the Imprisoning War storyline. It aimed at understanding how narrative revisions function across multiple games and mediums, and how these changes can affect coherence. The analysis done in this paper is relevant to anyone interested in the phenomenon of retcons in video games. Research was conducted using a combination of theoretical frameworks, game analysis and transmedia sources. The findings produced by this thesis were that retcons can be used to enhance world building and expand on in-game lore. However, retcons are difficult to analyse in myth heavy franchises which also supports that reboots can occur without erasing previous continuity.Denna uppsats försökte undersöka användningen av retcons (retroaktiv kontinuitet) inom den långvariga franchisen The Legend of Zelda, med fokus på berättelsen om Imprisoning War. Den syftade till att förstå hur narrativ revidering fungerar över flera spel och medier, och hur dessa förändringar kan påverka koherensen. Analysen som gjorts i denna uppsats är relevant för alla som är intresserade av fenomenet retcons i videospel. Forskningen genomfördes med en kombination av teoretiska ramverk, spelanalys och transmediala källor. Resultaten från denna avhandling visade att retcons kan användas för att förbättra världsbyggande och utöka spelets lore. Men retcons är svåra att analysera i myt-tunga franchiser, vilket också stöder att rebootar kan ske utan att tidigare kontinuitet raderas
Patients experiences of living with cancer-related fatigue
No full textBakgrund: Cancerrelaterad fatigue är ett vanligt symtom för patienter medcancersjukdomar. Symtomet uppstår till följd av sjukdomen och dess behandlingar. Detbeskrivs som svårt att hantera, behandla och tillfriskna från, och det skiljer sig från vanligtrötthet. Cancerrelaterad fatigue är ett multidimensionellt fenomen som involverar en fysiskdimension, en emotionell dimension och en kognitiv dimension. Syfte: Att beskriva patienters upplevelser av att leva med cancerrelaterad fatigue. Metod: Deskriptiv litteraturöversikt med kvalitativ ansats där 15 studier inkluderades. Resultat: Studiens resultat delades in i tre huvudkategorier och flera underkategorier. Fysiskoch psykisk påverkan, förändringar i vardagen, hantering av fatigue var de trehuvudkategorierna. Patienter upplevde att cancerrelaterad fatigue hade stor påverkan, varständigt närvarande och svårt att hantera. Fatigue förändrade det sociala livet på flera sätt,bland annat genom social isolering och svårigheter att arbeta. Patienternas stöd frånsjukvården varierade. Slutsats: Då symtomet har en multidimensionell påverkan leder det till svårigheter i derasliv, vilket yttrar sig i problem i familjelivet, arbetslivet och sociala situationer. Generellt settupplever patienterna att symtomet är svårt att hantera och de behöver mer stöd frånsjukvården. Specialistsjuksköterskor förväntas hälsoskatta patienterna samt bedöma fatigueoch patienternas enskilda rehabiliteringsbehov. Därefter behöver specialistsjuksköterskor geegenvårdsråd, finnas som stöd, samt koppla in andra vårdprofessioner när den egnakunskapen inte räcker till och utvärdera nivåerna av fatigue. Background: Cancer-related fatigue (CRF) is a common symptom among cancer patients. The symptom emerges as a result from the disease and its treatments. The symptom is difficult to manage, treat and recover from and it differs from tiredness. CRF is a multidimensional phenomenon involving a physical, an emotional and a cognitive dimension. Aim: To describe patients’ experiences of living with cancer-related fatigue. Method: Descriptive literature review based on 15 scientific studies with qualitative methods. Results: The results from this study were divided into three main categories and several subcategories. Physical and mental impact, changes in daily life and management of fatigue were the three main categories. Patients experienced that CRF had a strong effect, was constantly present and hard to manage. Fatigue affected social life in many ways, including social isolation and working difficulties. The patients received varying support from healthcare services. Conclusion: The symptom has a multidimensional impact which leads to problems in family life, work life, and social situations. The symptom is hard to manage and patients need more support from the health care services. Specialist nurses are expected to make health assessments of the patients and evaluate fatigue as well as determine their individual rehabilitation needs. Thereafter, the specialist nurses need to provide self-care advice, offer support, involve other healthcare professionals when their own expertise is insufficient, and evaluate the levels of fatigue
Imagining Human-Robot Future Homes: A Feminist HRI Approach through Speculative Design in South Korea
No full textHow might Human-Robot Interaction (HRI) challenge social norms in societies where feminist discourse is politically sensitive? This study explores that question through two participatory speculative design workshops conducted in South Korea, a context marked by rapid technological development and contested gender politics. Drawing on Feminist HRI and post-phenomenology, the study designed a speculative “what-if” scenario in which every household must adopt a robot under a fictional government policy. Through the workshops, 19 participants subtly critiqued emotional labor, power hierarchies, and family roles, expressing what can be interpreted as “quiet feminism.” The resulting speculative artifacts, including a collaboratively created Future Robot Home Catalog, revealed ambivalent imaginaries: robots were envisioned as both helpful and potentially alienating, norm-reinforcing and socially transformative. The study finds that speculative design serves not only as a method of imagination but also as a feminist practice, enabling culturally situated critique, ethical reflection, and the articulation of plural, relational futures. These findings contribute to the growing field of Feminist HRI by demonstrating how speculative design can serve as a culturally sensitive and inclusive method for navigating sociotechnical complexities and supporting inclusive design practices beyond universal paradigms.
Uncertainty, Absence, and the Unequal Process of Choice : An Existential Provocation on AI Afterlife as Digital Legacy through Speculative Design
No full textThis study employs speculative design to critically examine how AI might be integrated into digital legacy practices that impact individuals’ awareness of mortality and reflection on living a more authentic life. Through two co-design workshops, the study found that young to middle-aged adults do not view AI-mediated digital legacy practice as an end-of-life event, but rather as an ongoing process. This involves archiving and curating personal data, exercising control over the data and its posthumous use, and envisioning AI-enabled knowledge inheritance as a facilitation for creativity during one’s lifetime. Based on these design themes that emerged from the workshops, three speculative scenarios were then visualized, provoking thought on the desire for control over uncertainty, the continuous digital presence after death, and the unequal process of legacy-making and inheritance. Drawing on findings and informed by previous research, this study proposes existentially sensitive design space for adopting AI in legacy practices: design for uncertainty rather than using data and predictive models to schedule death; design for absence to disrupt unhealthy immersion in mourning; and be aware of the structural inequalities within the legacy-making and inheritance process.
Högerpopulismens uppsving: Är biståndet under attack? : En kvantitativ studie av sambandet mellan högerpopulistiska partiers regeringsinflytande och biståndsutbetalningar i Europeiska unionen under perioden 2010-2022
No full textThis paper aims to study the relationship between right-wing populist parties and aid disbursements. Previous research presents an emerging literature on right-wing populist parties and aid, but the relationship between these two fields is relatively unexplored. Researchers point out a lack of consensus concerning the effects right-wing populist parties have on aid. Therefore, the following research question has been used: “To what extent have right-wing populist parties with governmental influence affected aid disbursements in EU member states during the period 2010-2022?” Furthermore, the following hypothesis is formulated (1): When right-wing populist parties acquire governmental influence, aid disbursements decrease. To evaluate the research question and the hypothesis a quantitative method is used. The quantitative method concerns the use of linear regression analysis (simple linear regression, time fixed effects and two-way fixed effects). The study finds a statistical significant result using simple linear regression and time fixed effects. Nevertheless, the use of two- way fixed effects displays no significant results. Thus, the paper points out the complexity of the relationship between right-wing populist parties and aid disbursements. Further research is called for on the subject, especially in the context of right-wing populist parties’ rhetoric and prioritization of aid
Measuring and modeling batteries for IoT using Machine Learning
No full textWireless sensor network (WSN) nodes depend on small batteries with complex voltage dynamics influenced by internal electrochemical phenomena, which are further pronounced under the intermittent and pulse-like loads characteristic of WSN applications. Traditional battery models often fail to capture these nonlinear and time dependent effects. This thesis addresses the problem by developing a machine learning model using XGBoost to predict the full voltage response of lithiumtitanate (LTO) batteries under realistic intermittent discharge cycles. Extensive experiments were performed using the unique UU CoRe Battery Testbed; this resulted in over 5.8 million voltage measurements from 162 discharge cycles with varying current pulses, recovery periods, and duty cycles.The model was trained on the features current, state of charge, relative time within a pulse, and total pulse duration, with the target variable being voltage response. The resulting model predicts voltage with high accuracy, achieving an average RMSE of 0.0134 normalized volts (1.89% error) on unseen test data. Performance decreases toward the end of discharge (final 5%), where the error increases to 0.0325 normalized volts (7.50%), likely due to a lack of training data in that region. By accurately modeling the detailed voltage response to intermittent loads, this work creates a synthetic battery model that replicates real battery behavior under realistic operating conditions. This synthetic model provides a powerful tool for optimizing battery lifetime in WSN and IoT applications. Furthermore, this study demonstrates the viability of machine learning for capturing complex battery dynamics and lays a foundation for future research applying machine learning techniques to battery modeling and management across different use cases.
The business impact of collaborations between higher educational institutions and the industry : A case study with SICK AG
No full textIn today’s knowledge-driven economy, collaborations between higher education institutions and industry are essential for fostering innovation, talent development, strategic growth, and driving business success. This thesis examines the business impact of such partnerships from a corporate perspective, using SICK AG as a case study. Besides focusing on the business impact, this research also examines the benefits, challenges, and success factors of higher education institutions-industry collaborations. The research used qualitative interviews with internal stakeholders, complemented by secondary data and the usage of the logic model and impact-effort matrix. The results highlight that higher education institutions-industry partnerships can help to drive the company’s business success by increasing sales and recruiting new employees in the long term. Collaborations also have several direct, measurable outputs, however, the main impacts generated are qualitative, including talent acquisition and brand development, strategic partnership and market positioning, and organization growth and innovation. The impact generated is always dependent on the activities done. However, challenges arise due to internal challenges, misaligned goals, and resource allocation discrepancies. Overcoming these barriers requires the support of the management, available resources, and aligned goals. The results emphasize the integration of cooperation into the corporate strategy in order to achieve maximum impact. Establishing mechanisms for continuous evaluation allows companies to identify the most efficient activities and adapt them accordingly. The used framework shows the business impact generated in different dimensions and the preferred activities. The study contributes to the existing literature on collaborations with universities by including other higher education institutions and providing a model for evaluating different activities within these collaborations. Furthermore, the study adds to the literature by providing new insights into the benefits, challenges, problem solvers and success factors of these collaborations from a company perspective. This research highlights the strategic importance of higher education institutions-industry collaborations in a knowledge-driven economy. It uses a practical framework for assessing business impact and offers insights for companies on which activities to choose strategically based on an impact-effort matrix. Future studies could examine the long-term nature of such collaborations and include the perspective of the universities as opposed to that of the companies. By collaborating with higher education institutions, companies can drive their business success through increased sales and the recruitment of new employees.
From Settled to Nomadic: Exploring the Transformation of Practices in the Transition from Traditional No-Nomad to Digital Nomadism
No full textThe Impact of Cultural Context on User Trust in AI-Powered Chatbots for Everyday Mental Health Support
No full textAn increasing number of individuals globally face mental health challenges such as anxiety, sleeping disorders and stress that stem from various aspects of their daily lives. However, access to professional care remains limited due to a global shortage of mental healthcare professionals and resources. This gap has led to increased interest in AI-powered chatbots as accessible and scalable tools for supporting mental wellbeing. Trust in such systems remains a crucial factor influencing their acceptance and effectiveness especially across culturally diverse populations. This study investigates how five main Hofstede’s cultural dimensions namely, power distance, uncertainty avoidance, individualism vs collectivism, masculinity vs femininity, long-term vs short-term orientation and three cultural syndromes defined by Leung & Cohen namely, dignity culture, face culture and honour culture impact user trust in AI- powered chatbots for everyday mental wellbeing support. Quantitative research approach is utilized in the research to analyse data from 136 participants from two culturally distinct countries namely Sweden and Sri Lanka. The analysis examines associations between cultural orientation and perceived trust in AI-powered chatbots in the context of everyday mental health support using multiple linear regression and Pearson Correlation analysis and compares the perceived trust between two countries on culturally rooted chatbot features to determine which culturally rooted features are more appreciated in each culture using Mann-Whitney U analysis. Results of the regression analysis denote collectivism, masculinity, long-term orientation and honor cultural orientation positively influence user trust while uncertainty avoidance negatively influences user trust in AI-powered chatbots in the context of everyday mental wellbeing support. The Mann-Whitney U results also reflect several significant differences in trust perceptions on culturally rooted chatbot features between the two countries. The findings underscore the importance of culturally adaptive chatbot designs and offer practical implications for developers aiming to enhance trust in AI chatbots across diverse user groups. This study addresses the empirical gap in understanding cultural influences on AI trust in everyday mental health contexts, particularly among nonclinical users and contributes to more inclusive human-AI interaction frameworks