245 research outputs found
Gender and collective action: A conceptual framework for analysis
"This paper presents a framework for investigating the intersection of collective action and gender; i.e. how gender-oriented analysis can foster more effective collective action in the context of agriculture and natural resource management and how collective action can be used as a vehicle for gender equity. We begin with definitions of the key concepts and then present three entry points for a gendered analysis of collective action-motivations, effectiveness, and impact on gender equity- vis-Ă -vis the Institutional Analysis and Development (IAD) framework(Oakerson 1992; Ostrom 1991). At the heart of this framework is the action arena, which is shaped by a host of initial conditions, including asset endowments, vulnerabilities, and legal and governance systems that influence a range of outcomes. Applying a gender lens to this framework, we present an analysis of how women and men experience the initial set of conditions differently and thus, have different motivations and capacities for engaging in collective action. Next, we look at how the gender composition of groups affects theeffectiveness of collective action, and finally, at the impact of collective action on gender equity and women's empowerment. We conclude with a discussion of how this framework can improve our understanding of gender and collective action in order to facilitate more effective collective action while fostering gender equity." Author's AbstractGender, Collective action,
Busting out: predictive brains, embodied minds, and the puzzle of the evidentiary veil
Biological brains are increasingly cast as âprediction machinesâ: evolved organs whose core operating principle is to learn about the world by trying to predict their own patterns of sensory stimulation. This, some argue, should lead us to embrace a brainâbound âneurocentricâ vision of the mind. The mind, such views suggest, consists entirely in the skullâbound activity of the predictive brain. In this paper I reject the inference from predictive brains to skullâbound minds. Predictive brains, I hope to show, can be apt participants in larger cognitive circuits. The path is thus cleared for a new synthesis in which predictive brains act as entryâpoints for âextended mindsâ, and embodiment and action contribute constitutively to knowing contact with the world
Proceedings of the 8th Python in Science conference
International audienceThe SciPy conference provides a unique opportunity to learn and affect what is happening in the realm of scientific computing with Python. Attendees have the opportunity to review the available tools and how they apply to specific problems. By providing a forum for developers to share their Python expertise with the wider commercial, academic, and research communities, this conference fosters collaboration and facilitates the sharing of software components, techniques and a vision for high level language use in scientific computing
Genomics, Molecular Imaging, Bioinformatics, and Bio-Nano-Info Integration are Synergistic Components of Translational Medicine and Personalized Healthcare Research
Supported by National Science Foundation (NSF), International Society of Intelligent Biological Medicine (ISIBM), International Journal of Computational Biology and Drug Design and International Journal of Functional Informatics and Personalized Medicine, IEEE 7th Bioinformatics and Bioengineering attracted more than 600 papers and 500 researchers and medical doctors. It was the only synergistic inter/multidisciplinary IEEE conference with 24 Keynote Lectures, 7 Tutorials, 5 Cutting-Edge Research Workshops and 32 Scientific Sessions including 11 Special Research Interest Sessions that were designed dynamically at Harvard in response to the current research trends and advances. The committee was very grateful for the IEEE Plenary Keynote Lectures given by: Dr. A. Keith Dunker (Indiana), Dr. Jun Liu (Harvard), Dr. Brian Athey (Michigan), Dr. Mark Borodovsky (Georgia Tech and President of ISIBM), Dr. Hamid Arabnia (Georgia and Vice-President of ISIBM), Dr. Ruzena Bajcsy (Berkeley and Member of United States National Academy of Engineering and Member of United States Institute of Medicine of the National Academies), Dr. Mary Yang (United States National Institutes of Health and Oak Ridge, DOE), Dr. Chih-Ming Ho (UCLA and Member of United States National Academy of Engineering and Academician of Academia Sinica), Dr. Andy Baxevanis (United States National Institutes of Health), Dr. Arif Ghafoor (Purdue), Dr. John Quackenbush (Harvard), Dr. Eric Jakobsson (UIUC), Dr. Vladimir Uversky (Indiana), Dr. Laura Elnitski (United States National Institutes of Health) and other world-class scientific leaders. The Harvard meeting was a large academic event 100% full-sponsored by IEEE financially and academically. After a rigorous peer-review process, the committee selected 27 high-quality research papers from 600 submissions. The committee is grateful for contributions from keynote speakers Dr. Russ Altman (IEEE BIBM conference keynote lecturer on combining simulation and machine learning to recognize function in 4D), Dr. Mary Qu Yang (IEEE BIBM workshop keynote lecturer on new initiatives of detecting microscopic disease using machine learning and molecular biology, http://ieeexplore.ieee.org/servlet/opac? punumber=4425386) and Dr. Jack Y.Yang (IEEE BIBM workshop keynote lecturer on data mining and knowledge discovery in translational medicine) from the first IEEE Computer Society BioInformatics and BioMedicine (IEEE BIBM) international conference and workshops, November 2- 4, 2007, Silicon Valley, California, USA
Proceedings of the 7th Python in Science conference
International audienceThe SciPy conference provides a unique opportunity to learn and affect what is happening in the realm of scientific computing with Python. Attendees have the opportunity to review the available tools and how they apply to specific problems. By providing a forum for developers to share their Python expertise with the wider commercial, academic, and research communities, this conference fosters collaboration and facilitates the sharing of software components, techniques and a vision for high level language use in scientific computing
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A Novel Inpainting Framework for Virtual View Synthesis
Multi-view imaging has stimulated significant research to enhance the user experience of free viewpoint video, allowing interactive navigation between views and the freedom to select a desired view to watch. This usually involves transmitting both textural and depth information captured from different viewpoints to the receiver, to enable the synthesis of an arbitrary view. In rendering these virtual views, perceptual holes can appear due to certain regions, hidden in the original view by a closer object, becoming visible in the virtual view. To provide a high quality experience these holes must be filled in a visually plausible way, in a process known as inpainting. This is challenging because the missing information is generally unknown and the hole-regions can be large. Recently depth-based inpainting techniques have been proposed to address this challenge and while these generally perform better than non-depth assisted methods, they are not very robust and can produce perceptual artefacts.
This thesis presents a new inpainting framework that innovatively exploits depth and textural self-similarity characteristics to construct subjectively enhanced virtual viewpoints. The framework makes three significant contributions to the field: i) the exploitation of view information to jointly inpaint textural and depth hole regions; ii) the introduction of the novel concept of self-similarity characterisation which is combined with relevant depth information; and iii) an advanced self-similarity characterising scheme that automatically determines key spatial transform parameters for effective and flexible inpainting.
The presented inpainting framework has been critically analysed and shown to provide superior performance both perceptually and numerically compared to existing techniques, especially in terms of lower visual artefacts. It provides a flexible robust framework to develop new inpainting strategies for the next generation of interactive multi-view technologies
On the Simultaneous Perception of Sound and Three-Dimensional Objects
Although examples of work investigating the perceptual relationship and possibilities of sound and image are common, relatively litle work has been carried out into multimedia works combining sound and three-dimensional objects. A practice-based investigation into this subject is presented with original artworks and contectual material from sound art, sculpture, moving image and psychology. The project sets out to more examine the perception of multimedia work, specifically through the creation and analysis of artworks combining sound and physical objects. It considers three main areas of study: soundâs ability to draw attention to, or modify, the existing properties of an object; techniques which encourage sound and object to appear cohesively as part of the same work; and a discussion of cognitive effects that may occur as a result of their simulataneous perception. Using the concept of the search space from evolutionary computing as an example, the case is made that multimedia artworksde
can present a larger field of creative opportunity than single-media works, due to the enhanced interplay between the two media and the viewer's a priori knowledge. The roles of balance, dynamism and interactivity in multimedia work are also explored. Throughout the thesis examples of original artworks are given which exemplify the issues raised. The main outcome of the study is a proposed framework
for categorising and analysing the perception of multimedia artworks, based on increasing semantic
separation between the sensory elements. It is claimed that as the relationship between these elements becomes less obvious, more work is demanded of the viewer's imagination in trying to reconcile the gap,
leading to active engagement and the possibility of extra imaginary forms which do not exist in the original material. It is proposed that the framework and ideas in this document will be applicable beyond the sound/object focus of this study, and it is hoped they will inform research into multimedia work in other forms
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