270 research outputs found
The effect of laser induced thermal ablation on liver tumours
No full text© 2005 Mehrdad Nikfarjam.Laser thermal ablation (LTA) is an in situ ablative technique that induces heat destruction of liver tumours. Despite increasing clinical use of LTA, reports of long-term outcomes and limitation of treatment in specific cohorts of patients with liver tumours are lacking. In addition, the mechanisms of action of therapy have not been fully elucidated. This study highlights the long-term clinical results and limitations of LTA in the treatment of a cohort of patients with unresectable colorectal liver metastases and examines the mechanisms of action of thermal ablative injury in a murine model
A collaborative perspective in green construction risk management
No full textMany risks existing in the supply chain of green construction projects are poorly managed by traditional non-collaborative approaches leading to problems such as higher prices, inappropriate indoor environment quality, technological failures and legal battles that in turn adversely affect all stakeholders. To reduce the cases of failure in the green construction industry, it is necessary for supply chain (SC) key players to collaboratively identify, analyse and treat risks, considering benefits and concerns of all stakeholders inside the network.
This paper presents a method for collaborative risk management to provide informed advice to supply chain stakeholders to manage risks in the green construction industry. Contribution of the proposed collaborative approach is illustrated in a case study carried out in a green construction development project in Melbourne, Australia. The case study introduced in this research is sufficiently robust to provide evidence that collaborative approaches can add value to traditional methods of risk management and presents a modelling and analysis framework for assessing supply chain risks in the green construction.
Authors: Mehrdad Arashpour and Mohammadreza Arashpour, School of Property, Construction and Project Management, RMIT University.
First published in Kamardeen, I, Newton, S, Lim, B and Loosemore, M (ed.) Proceedings of the 37th Annual Conference of the Australasian Universities Building Educators Association (AUBEA), Sydney, Australia, 4th - 6th July 2012, pp. 1-11
RabbitStamp Test Sequence
No full text# RabbitStamp sequence by LISA ULB
The test sequence "RabbitStamp" is provided by Sarah Fachada, Yupeng Xie, Daniele Bonatto, Gauthier Lafruit, Mehrdad Teratani, members of the LISA department, EPB (Ecole Polytechnique de Bruxelles), ULB (Universite Libre de Bruxelles), Belgium.
# License:
CC BY-NC-SA
ONLY Available for Academic Usage
# Terms of Use:
Anykind of publication or report using this sequence should refer to the following references.
[1] Sarah Fachada, Yupeng Xie, Daniele Bonatto, Gauthier Lafruit, Mehrdad Teratani, "RabbitStamp Test Sequence", 2021.
@misc{fachada_RabbitStamp_2021,
title = {{RabbitStamp} {Test} {Sequence}},
author = {Fachada, Sarah and Xie; Yupeng and Bonatto, Daniele and Lafruit, Gauthier and Teratani, Mehrdad },
month = jul,
year = {2021},
doi = {10.5281/zenodo.5053771}
}
[2] Sarah Fachada, Yupeng Xie, Daniele Bonatto, Gauthier Lafruit, Mehrdad Teratani, "[DLF] Plenoptic 2.0 Multiview Lenslet Dataset and Preliminary Experiments [m56429]", 2021.
@article{fachada_RabbitStamp_2021,
title = {[DLF] {Plenoptic} 2.0 {Multiview} {Lenslet} {Dataset} and {Preliminary} {Experiments} [m56429]},
author = {Fachada, Sarah and Xie; Yupeng and Bonatto, Daniele and Lafruit, Gauthier and Teratani, Mehrdad },
journal = {ISO/IEC JTC1/SC29/WG11},
month = apr,
year = {2021}
}
[3] Sarah Fachada, Yupeng Xie, Daniele Bonatto, Gauthier Lafruit, Mehrdad Teratani, "[LVC] Update for RabbitStamp: Plenoptic 2.0 Multiview Lenslet Dataset [m57100]", 2021.
@article{fachada_RabbitStamp_2021,
title = {[LVC] {Update} for {RabbitStamp}: {Plenoptic} 2.0 {Multiview} {Dataset} [m56429]},
author = {Fachada, Sarah and Xie; Yupeng and Bonatto, Daniele and Lafruit, Gauthier and Teratani, Mehrdad },
journal = {ISO/IEC JTC1/SC29/WG11},
month = jul,
year = {2021}
}
[4] Sarah Fachada, Yupeng Xie, Daniele Bonatto, Gauthier Lafruit, Mehrdad Teratani, "[LVC] Exploration Experiments using RabbitStamp Multiview Lenslet Images [m57101]", 2021.
@article{fachada_RabbitStamp_2021,
title = {[LVC] {Exploration} {Experiments} {Using} {RabbitStamp} {Multiview} {Lenslet} {Images} [m56429]},
author = {Fachada, Sarah and Xie; Yupeng and Bonatto, Daniele and Lafruit, Gauthier and Teratani, Mehrdad},
journal = {ISO/IEC JTC1/SC29/WG11},
month = jul,
year = {2021}
}
# Production:
Laboratory of Image Synthesis and Analysis, LISA department, Ecole Polytechnique de Bruxelles, Universite Libre de Bruxelles, Belgium.
# Content:
This dataset contains a test scene acquired with a raytrix camera [1] array of 7x3 views. For details of the dataset, please refer to the references mentioned above.
The dataset contains:
- a `depth_7x3_center` depth maps computed with DERS reference software [2] in yuv40016ble format and json configuration files to do so,
- a `multiview_7x3_5x5_images` Calibrated subimages computed with RLC [3] in yuv42010ble format, the cameras.json with the camera parameters and view_synthesis.json with the view synthesis experiment.
- a `multiview_7x3_lenslets` folder containing the lenslet views in yuv42010ble format, the Raytrix xml calibration file and RLC cfg file for conversion to multiview.
# References and links:
[1] Raytrix, https://raytrix.de/
[2] S. Rogge and D. Bonatto and J. Sancho and R. Salvador and E. Juarez and A. Munteanu and G. Lafruit, "MPEG-I Depth Estimation Reference Software", in 2019 International Conference on 3D Immersion (IC3D), 2019.
[3] M. Teratani and T. Fujii, "[MPEG-I Visual] Conversion of Lenslet Data Capture by Single Focussed Plenoptic Camera to Multiview Video using RLC0.3 [N18567]", ISO/IEC JTC1/SC29/WG11, 201
Transparent Magritte Test Sequence
No full textTransparent-Magritte sequence by LISA ULB
The test sequence "Transparent Magritte" is provided by Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, Gauthier Lafruit, members of the LISA department, EPB, ULB.
License:
CC BY-NC-SA
Terms of Use:
Anykind of publication or report using this sequence should refer to the following references.
[1] Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, Gauthier Lafruit, "Transparent Magritte Test Sequence", 2021.
@misc{fachada_transparent_2021,
title = {Transparent {Magritte} {Test} {Sequence}},
author = {Fachada, Sarah and Bonatto, Daniele and Teratani, Mehrdad and Lafruit, Gauthier},
month = feb,
year = {2021},
doi = {10.5281/zenodo.4488243}
}
[2] Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, and Gauthier Lafruit, "Light Field Rendering for non-Lambertian Objects," presented at the Electronic Imaging, 2021.
@inproceedings{fachada_light_2021,
title = {Light {Field} {Rendering} for non-{Lambertian} {Objects}},
booktitle = {Electronic {Imaging}},
author = {Fachada, Sarah and Bonatto, Daniele and Teratani, Mehrdad and Lafruit, Gauthier},
year = {2021}
}
Production
Laboratory of Image Synthesis and Analysis, LISA department, EPB, Universite Libre de Bruxelles, Belgium.
Content:
This dataset contains a test scene created and rendered with Blender [1] and the addon script [2] extended for Blender 2.8. We provide the Bblender file and the rendered scene.
The scene contains a transparent refractive torus rendered in a regular camera array of 21x21 cameras.
In addition to the 3D model, two folders are available:
- `centered_cameras` resolution of 1000x1000, the cameras are centered on the refractive torus.
- `parallel_cameras` resolution of 2000x2000, the cameras are parallel, with a principal point at the center of the image.
Each of these folders contains:
- a `camera.json` file in OMAF coordinates system (Camera position: X: forwards, Y:left, Z: up, Rotation: yaw, pitch, roll) [3],
- a `parameters.cfg` generated with [2],
- a `texture` folder containing the rendered views in png format,
- a `depth` folder containing the associated depth maps in exr format.
References and links:
[1] Blender Online Community, "Blender - a 3D modelling and rendering package." Blender Institute, Amsterdam: Blender Foundation, 2020.
[2] K. Honauer, O. Johannsen, D. Kondermann, and B. Goldluecke, "A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields" in Asian Conference on Computer Vision, 2016,
https://github.com/lightfield-analysis/blender-addon
https://github.com/dbonattoj/blender-addon
[3] B. Kroon, "Reference View Synthesizer (RVS) manual [N18068]," ISO/IEC JTC1/SC29/WG11, Macau SAR, China, p. 19, Oct. 2018.
https://mpeg.chiariglione.org/standards/mpeg-i/omnidirectional-media-formatAcknoledgments:
This work was supported by
Les Fonds de la Recherche Scientifique - FNRS, Belgium, under Grant n°3679514$, ColibriH
The European Commision project n°951989 on Interactive Technologies, H2020-ICT-2019-3, Hovitron.
Sarah Fachada is a Research Fellow of the Fonds de la Recherche Scientifique - FNRS, Belgiu
Magritte Sphere
No full text# Magritte-Sphere sequence by LISA ULB
The test sequence "Magritte Sphere" is provided by Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, Gauthier Lafruit, members of the LISA department, EPB (Ecole Polytechnique de Bruxelles), ULB (Universite Libre de Bruxelles), Belgium.
# License:
CC BY-NC-SA
# Terms of Use:
Anykind of publication or report using this sequence should refer to the following references.
[1] Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, Gauthier Lafruit, "Magritte Sphere Test Sequence", 2021.
@misc{fachada_magritte_2021,
title = {{Magritte} {Sphere} {Test} {Sequence}},
author = {Fachada, Sarah and Bonatto, Daniele and Teratani, Mehrdad and Lafruit, Gauthier},
month = feb,
year = {2021},
doi = {10.5281/zenodo.5048265}
}
[2] Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, and Gauthier Lafruit, "Light Field Rendering for non-Lambertian Objects," presented at the Electronic Imaging, 2021.
@inproceedings{fachada_light_2021,
title = {Light {Field} {Rendering} for non-{Lambertian} {Objects}},
booktitle = {Electronic {Imaging}},
author = {Fachada, Sarah and Bonatto, Daniele and Teratani, Mehrdad and Lafruit, Gauthier},
year = {2021}
}
# Production:
Laboratory of Image Synthesis and Analysis, LISA department, EPB, Universite Libre de Bruxelles, Belgium.
# Content:
This dataset contains a test scene created and rendered with Blender [1] and the addon script [2] extended for Blender 2.8. We provide the Blender file and the rendered scene.
The scene contains a non-Lambertian (transparent-refractive (T) or mirror-specular (M)) sphere rendered in a regular camera array of 21x21 cameras.
In addition to the 3D model, we provide the rendered images : resolution of 2000x2000, the cameras are parallel, with a principal point at the center of the image.
The dataset contains:
- a `camera.json` file in OMAF coordinates system (Camera position: X: forwards, Y:left, Z: up, Rotation: yaw, pitch, roll) [3],
- a `parameters.cfg` generated with [2],
- a `texture_M` folder containing the rendered views in png format for the mirror object,
- a `texture_T` folder containing the rendered views in png format for the transparent object,
- a `mask` folder containing the mask indicating the sphere,
- a `depth` folder containing the associated depth maps in exr format.
# References and links:
[1] Blender Online Community, "Blender - a 3D modelling and rendering package." Blender Institute, Amsterdam: Blender Foundation, 2020.
[2] K. Honauer, O. Johannsen, D. Kondermann, and B. Goldluecke, "A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields" in Asian Conference on Computer Vision, 2016,
https://github.com/lightfield-analysis/blender-addon
https://github.com/dbonattoj/blender-addon
[3] B. Kroon, "Reference View Synthesizer (RVS) manual [N18068]," ISO/IEC JTC1/SC29/WG11, Macau SAR, China, p. 19, Oct. 2018.
https://mpeg.chiariglione.org/standards/mpeg-i/omnidirectional-media-formatAcknowledgments:
This work was supported by:
Les Fonds de la Recherche Scientifique - FNRS, Belgium, under Grant n°3679514$, ColibriH,
The European Commision project n°951989 on Interactive Technologies, H2020-ICT-2019-3, Hovitron.
Sarah Fachada is a Research Fellow of the Fonds de la Recherche Scientifique - FNRS, Belgiu
Nurses' readiness in research utilization: Moving toward
No full textNurses' readiness in research utilization: Moving toward evidence-based practice Mehrdad, N.1* (PhD); Salsali, M.2 (PhD); Kazemnejad, A.3 (PhD) 1. Assistant Professor, Dept. of Community Health Nursing, Faculty of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran. *(Corresponding Author) e-mail: [email protected] 2. Professor, Faculty of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.3. Professor, Dept. of Biostatistics, Tarbiat Modarress University, Tehran, Iran. Abstract Background and aimResearch utilization is a mechanism for transferring the results of research into practice and improving the quality of care in nursing. The aim of this study was to determine nurses’ readiness to utilize research needed for applying evidence-based practice. Materials and methodsIn this descriptive study, 375 nurses in all teaching hospitals affiliated with Tehran University of Medical Sciences were selected by stratified random sampling method. A 4-part questionnaire with open and close-ended questions including professional profile, research activities, research skills and access to research resources was used foe data collection. Content as well as face validities and Cronbach's α for reliability (0.82) were identified. Findings 85.9% of nurses had weak readiness in research utilization. Both research activities and skills were also low (71.4% and 82.7% respectively). 44% of nurses had insufficient access to research resources. A significant relationship was found between nurses' educational level, participation in research activities as well as English language skills and their readiness in research utilization. ConclusionLack of skills and inaccessibility to research findings lead to weak readiness for research utilization. With respect to the importance of utilizing research findings, organizational and administrative support, continuing education programs, well-defined processes and pathways to facilitate research utilization need to be provided for nurses. Keywords: Research utilization, Evidence-based practice, Nurses. *Corresponding Author: Neda Mehrdad. Assistant Professor, Dept. of Community Health Nursing, Faculty of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran. E-mail: [email protected] Effects of bladder irrigation with chl
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