Based on an intensive literature review, this paper investigates and presents generalized answers to the two basic questions of port governance, namely who governs and what is governed. There are totally 77 studies selected as the core literature sample according to a five-step approach. The results from literature review show evidences in favor of the important roles played by governmental organizations and port organizations as the main governing bodies of port governance. Furthermore, our analysis shows first, that multilevel governance has become a notable feature of port governance. Second, there are increasing involvements by national or regional levels of government in some countries such as the USA, Brazil, China. Third, port authorities at local level are generally holding the centre-stage position with further autonomy in managing port operations. Fourth, not-for-profit organizations related to port activities play the role of coordinators in port governance. Finally, different governance regimes with different specific governing actors for different port classifications can be identified for many nations. This study shows that fundamentally institutional arrangements and specific port activities are the two basic categories of what is governed. The institutional arrangements determine the port governance configuration and allocation of responsibilities of port activities. There are 12 groups of specific port activities within five categories identified in port governance.
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Learning objects are bits of learning content. They may be reused 'as is' (simple reuse) or first be adapted to a learner's particular needs (flexible reuse). Reuse matters because it lowers the development costs of learning objects, flexible reuse matters because it allows one to address learners' needs in an affordable way. Flexible reuse is particularly important in the knowledge economy, where learners not only have very spefic demands but often also need to pay for their own further education. The technical problems to simple and flexible are rapidly being resolved in various learning technology standardisation bodies. This may suggest that a learning object economy, in which learning objects are freely exchanged, updated and adapted, is about to emerge. Such a belief, however, ignores the significant psychological, social and organizational barriers to reuse that still abound. An inventory of these problems is made and possible ways to overcome them are discussed.
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There are three volumes in this body of work. In volume one, we lay the foundation for a general theory of organizing. We propose that organizing is a continuous process of ongoing mutual or reciprocal influence between objects (e.g., human actors) in a field, whereby a field is infinite and connects all the objects in it much like electromagnetic fields influence atomic and molecular charged objects or gravity fields influence inanimate objects with mass such as planets and stars. We use field theory to build what we now call the Network Field Model. In this model, human actors are modeled as pointlike objects in the field. Influence between and investments in these point-like human objects are explained as energy exchanges (potential and kinetic) which can be described in terms of three different types of capital: financial (assets), human capital (the individual) and social (two or more humans in a network). This model is predicated on a field theoretical understanding about the world we live in. We use historical and contemporaneous examples of human activity and describe them in terms of the model. In volume two, we demonstrate how to apply the model. In volume 3, we use experimental data to prove the reliability of the model. These three volumes will persistently challenge the reader’s understanding of time, position and what it means to be part of an infinite field. http://dx.doi.org/10.5772/intechopen.99709
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Abstract: The typical structure of the healthcare sector involves (specialist) intertwined practices co-occurring in formal or informal networks. These practices must answer to the concerns and needs of all related stakeholders. Multimorbidity and the need to share knowledge for scientific development are among the driving factors for collaboration in healthcare. To establish and keep up a permanent collaborative link, it takes effort and understanding of the network characteristics that must be governed. It is not hard to find practices of Network Governance (NG) in a variety of industries. Still, there is a lack of insight in this subject, including knowledge on how to establish and maintain an effective healthcare network. Consequently, this study's research question is: How is network governance organized in the healthcare sector? A systematic literature study was performed to select 80 NG articles. Based on these publications the characteristics of NG are made explicit. The findings demonstrate that combinations of governance style (relational versus contractual governance) and governance structure (lead versus shared governance) lead to different network dynamics. Furthermore, the results show that in order to comprehend how networks in the healthcare sector emerge and can be regulated, it is vital to understand the current network type. Additionally, it informs us of the governing factors. Zie https://www.hbo-kennisbank.nl/details/sharekit_han:oai:surfsharekit.nl:e4f8fa3a-4af8-42ef-b2dd-c86d77b4cec6
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"Objectives: Research on what matters most to people with dementia is crucial for developing tailored interventions and support. This study explored how people with dementia experience their everyday lives, providing insight into what is important to them to live the best they can at home. Methods: Inspired by a phenomenological approach, open interviews were conducted with 15 people with dementia, supplemented by home tours and walking interviews. Data collection included one to three sessions per participant. Data were analysed using descriptive content analysis and followed the phases of open, axial, and selective coding. A co‐researcher group of seven people with dementia was consulted during the analysis to help interpret the emergent findings. Findings: Six dimensions of what matters most in everyday life were identified: 1) Engaging in meaningful activities, which included routines, household chores, leisure, day activities, and volunteering or work; 2) Keeping a sense of connection, in relationships within the home, with family, friends, groups, and the neighbourhood; 3) Having a sense of belonging, which included attachments inside and outside the home, and to cherished objects; 4) Connecting to self, which included the ability to reflect on past experiences, live in the present moment and anticipate the future; 5) Adjusting to ongoing changes, which included alterations in sensory perceptions, perceptions of the physical environment, and navigating shifts in interpersonal dynamics; 6) Being open to help and support, from professionals, community and society. Conclusions: For people with dementia, everyday life is a continuous balancing act between what matters most and what can be achieved daily. This is not only related to dementia but is also embedded in the wider perspective of life history, relational networks, and the physical environment. This study highlights the importance of identifying what matters most to people with dementia to provide person‐centred support."
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This article discusses the viability of a feminist constructivist approach of knowledge through the careful reading of the work of the feminist scholar and historian of science and technology, Donna Haraway. Haraway proposes an interpretation of objectivity in terms of "situated knowledges". Both the subject and the object of knowledge are endowed with the status of material-semiotic actors. By blurring the epistemological boundary between subject and object, Haraway's narratives about scientific discourse become populated with hybrid subjects/objects. The author argues that the ethics of these hybrid subjects consists of an uneasy mixture of a Nietzschean and a socialist-Christian ethic. The article concludes by setting out why Haraway's project constitutes an interesting effort to fuse postmodern insights and feminist commitments.
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The 6th International Human Rights Education Conference is about teaching human rights. The purpose of this convention is to protect and promote the right of people with disabilities to participate equally in societal life. Implementation of the convention is a responsibility of the national government. At the Utrecht University of Applied Sciences a social work course now includes an introductory lecture on human rights using objects and a game that addresses the UN Convention on the Rights of Persons with Disabilities.
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The gap between research and design practice has long been a concern for the HCI community. In this article, we explore how different translations of HCI knowledge might bridge this gap. A literature review characterizes the gap as having two key dimensions - one between general theory and particular artefacts and a second between academic HCI research and professional UX design practice. We report on a 5-year engagement between HCI researchers and a major media company to explore how a particular piece of HCI research, the trajectories conceptual framework, might be translated for and with UX practitioners. We present various translations of this framework and fit them into the gap we previously identified. This leads us to refine the idea of translations, suggesting that they may be led by researchers, by practitioners or co-produced by both as boundary objects. We consider the benefits of each approach.
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In recent years, drones have increasingly supported First Responders (FRs) in monitoring incidents and providing additional information. However, analysing drone footage is time-intensive and cognitively demanding. In this research, we investigate the use of AI models for the detection of humans in drone footage to aid FRs in tasks such as locating victims. Detecting small-scale objects, particularly humans from high altitudes, poses a challenge for AI systems. We present first steps of introducing and evaluating a series of YOLOv8 Convolutional Neural Networks (CNNs) for human detection from drone images. The models are fine-tuned on a created drone image dataset of the Dutch Fire Services and were able to achieve a 53.1% F1-Score, identifying 439 out of 825 humans in the test dataset. These preliminary findings, validated by an incident commander, highlight the promising utility of these models. Ongoing efforts aim to further refine the models and explore additional technologies.
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With summaries in Dutch, Esperanto and English. DOI: 10.4233/uuid:d7132920-346e-47c6-b754-00dc5672b437 "The subject of this study is deformation analysis of the earth's surface (or part of it) and spatial objects on, above or below it. Such analyses are needed in many domains of society. Geodetic deformation analysis uses various types of geodetic measurements to substantiate statements about changes in geometric positions.Professional practice, e.g. in the Netherlands, regularly applies methods for geodetic deformation analysis that have shortcomings, e.g. because the methods apply substandard analysis models or defective testing methods. These shortcomings hamper communication about the results of deformation analyses with the various parties involved. To improve communication solid analysis models and a common language have to be used, which requires standardisation.Operational demands for geodetic deformation analysis are the reason to formulate in this study seven characteristic elements that a solid analysis model needs to possess. Such a model can handle time series of several epochs. It analyses only size and form, not position and orientation of the reference system; and datum points may be under influence of deformation. The geodetic and physical models are combined in one adjustment model. Full use is made of available stochastic information. Statistical testing and computation of minimal detectable deformations is incorporated. Solution methods can handle rank deficient matrices (both model matrix and cofactor matrix). And, finally, a search for the best hypothesis/model is implemented. Because a geodetic deformation analysis model with all seven elements does not exist, this study develops such a model.For effective standardisation geodetic deformation analysis models need: practical key performance indicators; a clear procedure for using the model; and the possibility to graphically visualise the estimated deformations."
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