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Keywords: computer science, algorithms, computational geometry, computer vision, shape features
Published in DKUM: 23.08.2024; Views: 109; Downloads: 2
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Abstract: This paper proposes a new string transformation technique called Move with Interleaving (MwI). Four possible ways of rearranging 2D raster images into 1D sequences of values are applied, including scan-line, left-right, strip-based, and Hilbert arrangements. Experiments on 32 benchmark greyscale raster images of various resolutions demonstrated that the proposed transformation reduces information entropy to a similar extent as the combination of the Burrows–Wheeler transform followed by the Move-To-Front or the Inversion Frequencies. The proposed transformation MwI yields the best result among all the considered transformations when the Hilbert arrangement is applied.
Keywords: computer science, algorithm, string transformation, information entropy, Hilbert space filling curve
Published in DKUM: 22.05.2024; Views: 150; Downloads: 8
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Abstract: Video recording and presentation slides of a lecture by Milan Ojsteršek and Matjaž Divjak for the HybridNeuro webinar "Data Management and Ethics", which was held online on April 8th 2024 at Faculty of Electrical Engineering and Computer Science, University of Maribor, Slovenia. More info including additional materials (slides, example dataset): https://www.hybridneuro.feri.um.si/webinars/data_management_and_ethics.html The HybridNeuro project combines the expertise of leading European partners in the field of Neural Interfaces to set up new pathways of analyzing human motor system and human movements and transfer the academic research into clinical and industrial practice. Link: https://www.hybridneuro.feri.um.si/ This project has received funding from the Horizon Europe Research and Innovation Programme under GA No. 101079392, as well as UK Research and Innovation organisation (GA No. 10052152). This video is available under the Creative Commons Attribution 4.0 International licence (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).
Keywords: HybridNeuro project, webinar, presentation, data management, data annotation, open science, open access, data repository, FAIR data, metadata
Published in DKUM: 09.05.2024; Views: 199; Downloads: 5
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Abstract: Various leading causes of death can be prevented or delayed through informed decision-making and lifestyle changes. Previous work has, to some extent, linked such health-promoting behavior (HPB) with variables capturing individuals’ understanding of science, trust in science, and capacity to apply evidence-based information in the health context. However, empirical research on the relationship between scientific knowledge, trust in science, health literacy, and HPB is scarce. Additionally, no study has investigated whether these characteristics interact to form homogeneous, high-risk subgroups of the population. The present online study (N = 705) revealed that trust in science and health literacy were positively related to a wide array of HPBs (e. g., healthy nutrition, physical activity, stress management), while scientific knowledge was only positively associated with COVID-19 vaccination intention. Furthermore, the results of latent profile analyses yielded four subgroups (i. e., low, moderate, and high levels of all three variables and a varied profile exhibiting very low trust in science, low health literacy, and moderate scientific knowledge). The identified subgroups differ significantly in HPB and variables determining profile membership (e. g., political conservatism). Hence, the present study offers some guidance on which groups may be targeted with public health campaigns and how they may be designed.
Keywords: scientific knowledge, trust in science, health literacy, health behaviour, COVID-19
Published in DKUM: 12.04.2024; Views: 257; Downloads: 10
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Abstract: The 43rd International Scientific Conference on the Development of Organisational Science was held in Portorož from the 20th to the 22nd of March 2024. The main aim of the conference was to promote the importance of knowledge in the context of green and digital transtition of organizations, through academic and scientific debates and professional developments from the economic and non-economic worlds. The conference, which was held under the umbrella title " Green and Digital Transition - Challenge or Opportunity", aimed to highlight the importance of the green and digital transition for the successful achievement of organisational objectives and the appropriate overcoming of societal challenges. The objectives pursued in this context are related to the natural dimensions on the one hand, and to stimulating the economy through green technology, sustainable development and pollution reduction on the other. The green and digital transition is also an opportunity for organisations to make changes towards overarching environmental challenges. It is undoubtedly more important than ever to take decisions that generate synergies between innovation, different sciences, and applied approaches, and to promote changes in business models that will lead to a sustainable and socially responsible development environment. In Portorož, we have reconnected opinions, views, and scientific and professional debates that will stimulate all of us to act in the future, both in organizations and in society at large.
Keywords: organization, knowledge, interdisciplinarity, science, economy
Published in DKUM: 22.03.2024; Views: 441; Downloads: 77
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