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- Brink, Suzanne, et al.
(författare)
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Assessing curriculum agility in a CDIO engineering education
- 2020
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Ingår i: The 16th international CDIO conference. - Gothenburg, Sweden : Chalmers University of Technology. - 9789188041272 - 9789188041289 ; 1, s. 13-24
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Konferensbidrag (refereegranskat)abstract
- Change and individualization are two aspects that are important in innovative higher education. In this paper, we argue for how the concept of curriculum agility can be used as a framework for engineering education that is able to meet societal, environmental, and technological challenges. To both anticipate and meet the needs of the rapidly changing world, engineering education needs to have an organization that allows for innovation, change, and adaptation, with the capacity to respond within a (much) shorter timeframe than traditionally seen in higher education. The structure and processes of such organizations should include the time needed to establish and decommission new educational programmes, and the flexibility within the programmes. The CDIO's Curriculum Agility Working Group has defined seven principles for curriculum agility and has analysed how these relate to the CDIO Standards. This paper describes how the principles can provide guidance on both a curricular and institutional level. The principles are mapped against the CDIO Standards, relating to what is required for an agile curriculum, in order to indicate how the Standards can be utilized to assess the flexibility and agility of educational programmes.
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| 3. |
- Brink, Suzanne, et al.
(författare)
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Curriculum Agility: Responsive Organization, Dynamic Content, and Flexible Education
- 2021
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Ingår i: Proceedings - Frontiers in Education Conference, FIE. - : Institute of Electrical and Electronics Engineers (IEEE). - 1539-4565. ; 2021-October
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Konferensbidrag (refereegranskat)abstract
- This special session, within the conference theme of Incorporating Convergence into Programs, Curricula, and Continuing Education, focuses on Curriculum Agility in engineering education. It will introduce the concept of Curriculum Agility and its current trends, as well as further co-develop the concept behind it. This is done following an iterative design thinking approach, by co-creating guiding principles that engineering institutions can use to make their study programs more responsive, dynamic, and flexible. Curriculum Agility is particularly important in engineering education in order to keep pace with the rapid development of new technologies and materials. In addition, the concept aims to meet students' expectations and needs for more individualized study plans, as well as society's need for forward-thinking engineers equipped to contribute to finding solutions to current and future societal challenges. Thus, to anticipate and meet these challenges, institutions for engineering education need to have an organizational and management structure with the capacity to act within a much shorter timeframe than traditionally seen in universities. Curriculum Agility is a framework for introducing necessary changes in operations to be able to act responsibly and rapidly on change and expectations. This work presents seven principles for Curriculum Agility that have emerged from a series of sessions at international conferences and network meetings. The seven principles currently include: Stakeholder Involvement, Organization and Governance, Decision Making, Program and Course Design, Innovation of Education, and Pedagogy and Didactics. This special session brings educators together to discuss the 'what, how and why' with regard to Curriculum Agility. The overall aim is to further develop a shared vision on Curriculum Agility and build upon the intention of assessing it at different levels in the organization of engineering education institutions. The expected outcome of the special session is a collection of refined, redefined, and perhaps even newly defined principles for Curriculum Agility.
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- Cheddad, Abbas, et al.
(författare)
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Improving signal detection in emission optical projection tomography via single source multi-exposure image fusion
- 2013
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Ingår i: Optics Express. - : Optical Society of America. - 1094-4087. ; 21:14, s. 16584-16604
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Tidskriftsartikel (refereegranskat)abstract
- We demonstrate a technique to improve structural data obtained from Optical Projection Tomography (OPT) using Image Fusion (IF) and contrast normalization. This enables the visualization of molecular expression patterns in biological specimens with highly variable contrast values. In the approach, termed IF-OPT, different exposures are fused by assigning weighted contrasts to each. When applied to projection images from mouse organs and digital phantoms our results demonstrate the capability of IF-OPT to reveal high and low signal intensity details in challenging specimens. We further provide measurements to highlight the benefits of the new algorithm in comparison to other similar methods.
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| 5. |
- Eklund, Patrik, 1958-, et al.
(författare)
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Unravelling the thrill of metric image spaces
- 1999
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Ingår i: Lecture Notes in Computer Science. - : Springer Berlin/Heidelberg. - 0302-9743 .- 1611-3349. ; 1568, s. 275-285
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Tidskriftsartikel (refereegranskat)abstract
- In this paper we focus on distances between textures. and develop metrics on image spaces in contexts of image transformations. Given a metric on the range space, we can generate the initial topology for the domain space. For this topology we can obtain a corresponding metric using well-known metrization constructions, also providing granularity of the metrics. Examples are drawn front the Spatial Gray Level Dependency (SGLD) transformation and the application domain is texture recognition in medical imaging.
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| 6. |
- Eriksson, Anna U., et al.
(författare)
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Near infrared optical projection tomography for assessments of beta-cell mass distribution in diabetes research
- 2013
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Ingår i: Journal of Visualized Experiments. - : MyJove Corporation. - 1940-087X. ; 71
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Tidskriftsartikel (refereegranskat)abstract
- By adapting OPT to include the capability of imaging in the near infrared (NIR) spectrum, we here illustrate the possibility to image larger bodies of pancreatic tissue, such as the rat pancreas, and to increase the number of channels (cell types) that may be studied in a single specimen. We further describe the implementation of a number of computational tools that provide: 1/ accurate positioning of a specimen's (in our case the pancreas) centre of mass (COM) at the axis of rotation (AR)2; 2/ improved algorithms for post-alignment tuning which prevents geometric distortions during the tomographic reconstruction2 and 3/ a protocol for intensity equalization to increase signal to noise ratios in OPT-based BCM determinations3. In addition, we describe a sample holder that minimizes the risk for unintentional movements of the specimen during image acquisition. Together, these protocols enable assessments of BCM distribution and other features, to be performed throughout the volume of intact pancreata or other organs (e.g. in studies of islet transplantation), with a resolution down to the level of individual islets of Langerhans.
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| 10. |
- Georgsson, Fredrik, 1971-, et al.
(författare)
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Fractal Analysis of Mammograms
- 2007
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Ingår i: SCIA 2007. - Berlin : Springer. - 9783540730392 ; , s. 92-101
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Konferensbidrag (refereegranskat)abstract
- In this paper it is shown that there is a difference in local fractal dimension between imaged glandular tissue, supporting tissue and muscle tissue based on an assessment from a mammogram. By estimating the density difference at four different local dimensions (2.06, 2.33, 2.48, 2.70) from 142 mammograms we can define a measure and by using this measure we are able to distinguish between the tissue types. A ROC-analysis gives us an area under the curve-value of 0.9998 for separating glandular tissue from muscular tissue and 0.9405 for separating glandular tissue from supporting tissue. To some extent we can say that the measured difference in fractal properties is due to different fractal properties of the unprojected tissue. For example, to a large extent muscle tissue seems to have different fractal properties than glandular or supportive tissue. However, a large variance in the local dimension densities makes it difficult to make proper use of the proposed measure for segmentation purposes.
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