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  • Public defence: 2018-11-23 09:30 Sal Myrdal, Växjö
    Nordmark, Susanna
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    A Multimodal Seamless Learning Approach Supported by Mobile Digital Storytelling (mDS)2018Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    The use of digital tools such as smartphones, tablets and laptops have shown potential to enhance teaching and learning in a wide variety of contexts. 21st century skills such as creativity, problem-solving and innovation as means for supporting learning and knowledge creation, are considered fundamental proficiencies in today's technology- driven society, and they are therefore considered essential to promote, already from the earliest of school years. Hence, there are a number of challenges related to how to design and implement innovative and varied strategies

    for teaching and learning supported by mobile technologies in educational settings. Moreover, it is also crucial to think about how to actively involve teachers into the processes mentioned above, inspiring and inviting them to implement new methods and technologies into their everyday educational practices.

    The work presented in this thesis embodies a series of co-design and design-based research efforts aiming at exploring the interplay between design, information and communication technologies and learning through mobile digital storytelling, guided by the theoretical frameworks of constructivism, multimodality, new media literacies, mobile seamless learning, and technology enhanced learning. Two main research questions have been identified as formulated below, and have served as

    the basis that guided my efforts:

    What design features are necessary to scaffold mobile seamless learning approaches with the support of mobile digital storytelling?

    Considering the role of mobile digital storytelling for educational settings: which design factors and learning requirements could guide and support similar initiatives?

    Over the years of my doctoral studies, a progression of research interventions involving teachers, pupils, and museum staff have been co-designed, developed, tested and validated. These efforts have resulted in a method, a mobile application, and a web service for mobile digital storytelling in educational contexts, named the mobile digital storytelling (mDS) system.

    The mDS system introduces learning technology approaches aiming to support teacher and pupil digital inclusion, mobile seamless learning and multimodal aspects, and serves as a reflective instrument for both collaborative and individual work. The validation of mDS in different educational settings indicates that it can be independent of subject matter, user age, locality and previous knowledge of technology enhanced learning, and is easy to access and manage for teachers as well as pupils. Hence, it proposes several innovative means on multiple levels for meeting the 21st century skills required for supporting contemporary learning and knowledge creation.

  • Public defence: 2018-12-07 09:30 Fullriggaren, Kalmar
    Nordahl, Oscar
    Linnaeus University, Faculty of Health and Life Sciences, Department of Biology and Environmental Science.
    Intraspecific diversity of pike (Esox lucius) in the Baltic Sea and new insights on thermoregulation in fish2018Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Fish display a fascinating variation in behavior, morphology and physiology among species, among individuals within species, and within individuals over time. A central quest in ecology and evolution is to understand causes and consequences of such variation. This thesis aims to contribute to this knowledge by: (1) investigating the evolutionary processes that shape intraspecific variation among sympatric subpopulations of pike in coastal areas of the Baltic Sea; and (2) exploring whether fish can utilize sun-basking to regulate body temperature and whether this has any consequences for fitness.

    Identifying barriers that delineate populations is a first step towards evaluating the evolutionary origin of intraspecific variation. This thesis reports on genetic population structures among co-existing pike in the coastal Baltic Sea separated by homing behavior, different spawning strategies and geographic barriers. Field studies revealed that these subpopulations also show phenotypic divergence in reproductive and meristic traits. Experimental studies suggested that differentiation among subpopulations likely was a result of divergent selection and local adaptations to spawning grounds. These adaptations that may further reinforce barriers among subpopulations due to a reduced success of immigrant genotypes.

    For the second aim of the thesis, we first studied seasonal and diel patterns of activity and vertical migration among the Baltic Sea pike. The results suggested that pike exposed themselves to sunlight during spring and summer, and that body temperatures were positively correlated with sun exposure during these basking events. This was followed by experimental studies on inanimate physical models and a field study on carp which demonstrated that fish can become warmer than ambient water when exposed to sun light, a previously overlooked mechanism for fish thermoregulation, and that the heat gain was positively correlated with growth.

    This thesis contributes to our understanding of the origin and maintenance of intraspecific variation among coexisting populations with direct implications for management of pike. It also establishes sun-basking as a novel mechanism for fish to obtain body temperatures in excess of ambient water which could motivate adaptations, both evolutionary and plastic, that optimize heat gain, affect spatiotemporal distributions and biotic interaction within and among species.

  • Public defence: 2018-12-07 10:00 V159, Kalmar
    Rahmqvist Linnarsson, Josefin
    Linnaeus University, Faculty of Health and Life Sciences, Department of Health and Caring Sciences.
    Forensic care for victims of violence and their family members in the emergency department2018Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Aim: To explore forensic care in EDs for victims of violence and their family members from the perspectives of ED department heads, ED nurses, and a family member of a victim of violence.

    Methods: Study I consisted of a questionnaire to all heads of EDs in Sweden, data were analyzed with descriptive statistics. Study II consisted of a similar questionnaire which also included the instrument Families’ Importance in Nursing Care-Nurses’ Attitudes. It was sent to all nurses at 28 EDs and data were analyzed using descriptive statistics, multiple linear and ordinal regression analysis. Study III comprised of individual interviews with twelve nurses from seven EDs and data were analyzed with content analysis. Study IV was a single case study with two interviews with a family member of a victim of violence. Data were analyzed with a Gadamer-inspired hermeneutic approach.

    Results: ED preparedness for forensic care varied and was often limited to women and children. Nurses played a key role, but most of them had no training for this task and felt uncertain (I, II, III). Creating a caring encounter was the main challenge for providing forensic care and nurses perceived hindering factors to overcome this challenge (III). Family members were rarely included in forensic care and nurses perceived that family members were offered little help (I-III). Having ED documents that included family members, was associated with a more positive attitude to family members, which in turn was associated with involving them in care (II). For the family member, perfunctory encounters and caring alliances had a major impact and the experience reframed life (IV).

    Conclusion: Lack of preparedness in EDs to care for all types of victims of violence and differences between individual nurses may prohibit the provision of equal care. Hindering factors for a caring encounter can result in forensic care being unaddressed, which may limit possibilities for alleviated suffering and legal justice. Family members were rarely included in forensic care, but caring encounters can be crucial for the family member in the aftermath of violence.

  • Public defence: 2018-12-13 10:00 B135, Kalmar
    Ahlgren, Fredrik
    Linnaeus University, Faculty of Technology, Kalmar Maritime Academy.
    Reducing ships' fuel consumption and emissions by learning from data2018Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    In the context of reducing both greenhouse gases and hazardous emissions, the shipping sector faces a major challenge as it is currently responsible for 11% of the transport sector’s anthropogenic greenhouse gas emissions. Even as emissions reductions are needed, the demand for the transport sector rises exponentially every year. This thesis aims to investigate the potential to use ships’ existing internal energy systems more efficiently. The thesis focusses on making existing ships in real operating conditions more efficient based logged machinery data. This dissertation presents results that can make ship more energy efficient by utilising waste heat recovery and machine learning tools. A significant part of this thesis is based on data from a cruise ship in the Baltic Sea, and an extensive analysis of the ship’s internal energy system was made from over a year’s worth of data. The analysis included an exergy analysis, which also considers the usability of each energy flow. In three studies, the feasibility of using the waste heat from the engines was investigated, and the results indicate that significant measures can be undertaken with organic Rankine cycle devices. The organic Rankine cycle was simulated with data from the ship operations and optimised for off-design conditions, both regarding system design and organic fluid selection. The analysis demonstrates that there are considerable differences between the real operation of a ship and what it was initially designed for. In addition, a large two-stroke marine diesel was integrated into a simulation with an organic Rankine cycle, resulting in an energy efficiency improvement of 5%. This thesis also presents new methods of employing machine learning to predict energy consumption. Machine learning algorithms are readily available and free to use, and by using only a small subset of data points from the engines and existing fuel flow meters, the fuel consumption could be predicted with good accuracy. These results demonstrate a potential to improve operational efficiency without installing additional fuel meters. The thesis presents results concerning how data from ships can be used to further analyse and improve their efficiency, by using both add-on technologies for waste heat recovery and machine learning applications.