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    Facilitating teachers’ talk about their understanding, experienced relevance and attitudes toward Lesson Study

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    Purpose: This study explores how Lesson Study (LS) facilitators can support teachers’ talk, within teams of novices, to encourage them to share their understanding of LS, their experienced relevance of what they intend to learn during LS and their attitudes toward LS. For this study, the subject of such talk is “consumption,” a concept linked closely to cultural–historical activity theory. By investigating how often talk about consumption transpires, this study also specifies how facilitators prompt or impede it. Design/methodology/approach: A qualitative multiple-case study approach analyzes talk about consumption during the “study,” “plan” and “reflect” phases of LS. Five cross-curricular and facilitated LS teams from one pre-vocational secondary school participated. Findings: Relevance, followed by understanding and attitude, was most discussed during the “study” phase of the LS cycle. Talk about consumption rarely occurred during other phases, and it remained superficial. Facilitators took a procedural approach to conducting the LS and lacked focus on teachers’ professional development; they also did not explore teachers’ talk. Practical implications: The findings are of particular interest to developers of LS facilitation training; they stress the need for facilitators to discuss the rationale underlying LS and its specific features, to make its relevance explicit to all teachers and discuss teachers’ attitudes toward LS. Originality/value: Although LS research recognizes the importance of consumption-related aspects, it has not studied them empirically. This study is among the first to investigate how these topics can be facilitated during LS meetings.</p

    Creation, Content and Consequences of Visual Brand-related User Generated Content

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    With the rise of visual social media such as Instagram and TikTok, consumers increasingly use these platforms to share their experiences with brands. Current research examines so-called visual brand-related UGC holistically by examining the creation, content, and consequences of visual Br-UGC. It combines interviews, automated content analyses, and experiments to study the motivations people have to create visual Br-UGC, important content characteristics in visual Br-UGC, and the consequences visual Br-UGC has on the receiver. Moreover, this research aims to examine the potential of computer vision to study visual Br-UGC in the future. Results show that social drivers play an important role in each aspect of visual Br-UGC. Moreover, computer vision is a promising tool to study visual Br-UGC.</p

    Bridging hospital to home for children with medical complexity and their families:An observational prospective cohort study protocol to assess the effectiveness of an innovative transitional care unit in the Netherlands (BRIDGE study)

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    Introduction Children with Medical Complexities (CMC) often require 24/7 expert care, which frequently necessitates prolonged (re)admissions to a university medical centre (UMC), thereby impeding discharge to home. The transition from hospital to home for CMC is a multifaceted process with numerous challenges and obstacles. This protocol describes the evaluation of an innovative transitional care unit (TCU), where families can stay together in a home-like environment between hospital and home. Under the supervision of healthcare professionals, parents are supported in preparing for a sustainable home situation. We hypothesise that an intermediate stay at the Jeroen Pit Huis (JPH) will have a favourable effect on healthcare consumption, patient, parent and family-relevant outcomes in comparison to discharge directly from a hospital ward to home. Therefore, the purpose of this study is to compare the transition via the TCU JPH versus transition from hospital ward to home as provided elsewhere for CMC patients in the Netherlands. Methods and analysis This observational prospective cohort study compares patients who transition directly from hospital to home with those who transition via the TCU. The control group comprises five UMCs in the Netherlands. Data will be collected by extracting information from electronic health records and through online questionnaires. Parents complete questionnaires at three time points: on discharge home, 3 months and 12 months postdischarge. Bayesian inverse probability weighting will be used to control for confounding effects and analyse the results. Ethics and dissemination Ethical approval was granted by the Amsterdam UMC Medical Ethics Committee (W20_220#20.007). The need for ethical approval was waived by all other participating UMCs. Results will be disseminated through peer-reviewed scientific journals and conference presentations. The insights gained from this study will contribute to the development of a national care pathway to enhance transitional care for CMC and their families in the future.</p

    Addressing Value Tensions in Collaborative Innovation:A Generative AI-Powered Serious Game

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    Collaborative innovation is crucial for addressing grand challenges like climate change and inequality, yet it frequently struggles due to conflicting stakeholder priorities and underlying value tensions. Our study introduces an AI-powered serious game that applies responsible research and innovation principles to encourage reflexivity, anticipation, and value deliberation among stakeholders. Using a narrative-driven and interactive framework, participants engage with generative AI to uncover hidden values, resolve tensions, and align their priorities toward responsible innovation. The game was developed through a Design Science Research methodology, undergoing iterative testing with diverse stakeholder groups. Findings indicate that the game successfully facilitate deliberation by integrating three key components: AI-driven feedback, immersive narratives, and customizable scenarios. Furthermore, three main design criteria, enhanced user experience, implementation flexibility, and effective prompt engineering, were identified as essential for the game’s usability and impact. The game's effectiveness in promoting meaningful engagement highlights its potential for widespread application in innovation labs, policy design, educational settings, and research. Ultimately, we offer a practical tool to operationalize responsible research and innovation principles in multi-stakeholder contexts, addressing the challenge of aligning values when tackling wicked societal issues

    Body Maps as A Source of Women’s Embodied Experiences:A Diary Study into Visualising Personal Health Data

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    This paper explores the use of body maps as a visual methodology for capturing and representing women's embodied health experiences. Through a diary study involving 25 participants and 325 drawings, we identified two key themes: working with the body map template and telling stories by adding elements to the body map. Our findings highlight the potential of body maps to provide rich, nuanced representations of women's health data that transcend traditional numerical and text-based methods. A better understanding of experiences of health data can ultimately contribute to the development of more inclusive and empathetic health technologies. This research points out the importance of accurate data visualisations in (women's) health. It also demonstrates the need for exploration of alternative forms of visualisation, to improve the design and effectiveness of health technologies to better connect with women's lived experiences

    Laser powder bed fusion of 3D metamaterials for energy absorption

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    Metamaterials with unique energy absorption properties are fabricated by additive manufacturing. Manufacturing limitations, imposed by Laser Powder Bed Fusion (LPBF), hamper the production of in particular 3D metamaterial structures, due to unsupported overhanging struts that are part of the unit cell design. This study analyses two types of 3D metamaterials, the auxetic re-entrant and octet truss. Optimal process parameters are determined experimentally for stainless steel 316L and unit cell design parameters are related to the overall performance of the metamaterial lattices. Drop-weight impact testing experiments are conducted on LPBF-fabricated metamaterial samples. Unique properties for energy absorption, directly related to the metamaterial’s unit cell design, are demonstrated

    Monte Carlo simulation platform for laser Doppler flowmetry

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    Significance: Monte Carlo simulation of light propagation in turbid media is important in biomedical optics. Most existing platforms simulate light-tissue interactions in backscattering and planar geometries and are voxel-based, which limits their ability to model curved boundaries accurately. Few platforms incorporate Doppler shifts from flowing media, and they allow limited customization of flow profiles and scattering properties. Although laser Doppler flowmetry (LDF) is common in backscattering-based tissue measurements or low-scattering through-transmission setups, the intermediate case of through-transmission measurements in more scattering samples is underexplored. This case is relevant for applications such as flow quantification in lab-on-a-chip systems and inline flow sensors for biological fluids.Aim: To study flow in highly scattering samples (1 to 10 mm-1), we developed a voxel-free Monte Carlo simulation platform for through-transmission LDF: MCDoppler. We compare simulated and experimental Doppler power spectra. Approach: MC-Doppler uses unit vectors and ray tracing to model light propagation, with fully customizable scattering phase functions and flow fields. It was tested with various suspensions of differently sized polystyrene beads, at flow rates ranging from 0 to 15 mL/ min, within a 1 mm diameter glass tube.Results: Simulated and measured Doppler power spectra matched well for scattering coefficients up to 5 mm-1. Mismatches between the spectra were found near 10 mm-1.Conclusions: MC-Doppler accurately simulates light propagation for through transmission laser Doppler up to moderate scattering coefficients.</p

    Baseline information and regionalization of the large river basins of Kazakhstan

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    This paper presents a comprehensive baseline assessment and regionalization of Kazakhstan’s river basins, categorizing them into Northern and Southern hydrological regions based on distinct hydroclimatological characteristics, bioclimatic zones, and dominant river regimes. Overall, climate in the region can be characterized as cold and dry, with high seasonality and spatial variability in air temperature and precipitation. The Northern region, characterized by nival regimes and rain-fed agriculture, contrasts sharply with the Southern region, dominated by nival-glacial regimes and irrigation-dependent agriculture. This regionalization reveals crucial differences in flood risk, water management strategies, and climate change adaptation needs. We also provide baseline regional river basin characteristics (drainage areas, elevation, mean annual temperature) and water balance components (annual precipitation, potential and actual evaporation, land surface runoff). This paper highlights the significant knowledge gaps concerning groundwater resources, water quality in Northern basins, and the impacts of climate change on freshwater ecosystems. The implications of this regionalization for water research and management in Kazakhstan and wider Central Asia are discussed in the context of addressing ongoing challenges like water scarcity, ecological conservation, and climate change adaptation. Building upon this regional framework, the study also outlines key knowledge gaps in areas such as water availability, quality, groundwater resources, and the applicability of hydrological models, suggesting important directions for future research in the region. The findings are intended to be a valuable resource for national and regional authorities, researchers, and policymakers. We advocate for a more systematic, transboundary approach to water resource characterization, considering hydrological and biophysical boundaries rather than solely national borders, which is crucial for addressing the complex water challenges facing Kazakhstan and Central Asia.</p

    Approximating the inertia forces in the floating frame of reference formulation using the consistent finite element mass matrix

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    In the floating frame of reference formulation, the exact form of the inertia forces is derived using a continuum-based approach. This yields a mass matrix and quadratic velocity terms containing inertia shape integrals. To avoid these integrals, many implementations of the floating frame formulation approximate the inertia forces by defining the kinetic energy using the lumped finite element mass matrix. This work proposes an alternative approximation of the inertia forces based on the consistent finite element mass matrix for structural elements, addressing cases where the exact solutions available in literature for most solid elements are not applicable. The inertia forces are derived by defining the kinetic energy using the consistent finite element mass matrix or by using the inertia forces from the equation of motion of the corresponding linear finite element model. In this way, the inertia shape integrals are replaced by a readily available mass matrix. In comparison with the lumped approach, the proposed definition yields more accurate results for coarser meshes since a more realistic representation of the mass and inertia properties of the body is used. Furthermore, the proposed approach yields inertia forces similar to the exact continuum-based approach under the assumption of small deformations. If the influence of deformation on the mass matrix is significant or the quadratic velocity terms are important, mesh refinement is required to accurately represent the inertia forces. The accuracy of the proposed definition of the inertia forces is compared to the exact and lumped mass approaches through simulation of flexible systems.</p

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