A Main part Component Analysis of 39 Well-controlled Results Measures <<>>

Written by on June 29, 2009 – 7:00 am -

Background

The bearing of methodical publications has traditionally been expressed in terms of citation counts. However, precise activity has moved online over the defunct decade. To better take hold of systematic impact in the digital era, a strain of new collision measures has been proposed on the essence of collective network judgement and routine log statistics. Here we look into how these new measures dig to each other, and how accurately and heart they wring painstaking hit.

Methodology

We performed a first component assay of the rankings produced by 39 existing and proposed measures of learned smash that were adjusted on the infrastructure of both citation and form log matter.

Conclusions

Our results indicate that the notion of scientific impact is a multi-dimensional build that can not be adequately precise by any individual indicator, although some measures are more apt than others. The commonly toughened citation Impact Agent is not positioned at the heart of this construct, but at its periphery, and should thus be old with caution.

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Fine-Scale Dissection of Going Protein Network Combine by Statistical Network Examination <<>>

Written by on June 24, 2009 – 7:00 am -

Revealing organizational principles of biological networks is an self-glorifying aspiration of systems biology. In this study, we sought to analyze the potent organizational principles within the protein interaction network by studying the characteristics of specific neighborhoods of proteins within the network based on their gene expression as grammatically as protein-protein interaction patterns. By clustering proteins into sui generis groups based on their neighborhood gene turn of phrase characteristics, we connect sundry consequential trends in the electric format of the protein interaction network. We put on that proteins with distinct neighborhood gene loudness characteristics are positioned in set localities in the protein interaction network thereby playing personal to roles in the eager network connectivity. Remarkably, our opinion reveals a neighborhood characteristic that corresponds to the most centrally located club of proteins within the network. Further, we authenticate that the connectivity archetype displayed by this set apart is agreeing with the image of “rich company connectivity” in complex networks. Importantly, our findings are largely reproducible in networks constructed using independent and particular datasets.

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Wisdom Physiological and Degenerative Above Vision Mechanisms to Explain Differ and Contour Operators <<>>

Written by on June 23, 2009 – 7:00 am -

Background

Dynamical systems like neural networks based on lateral interference accept a monumental common of applications in image processing, robotics and morphogenesis modeling. In this paper, we purpose propose some examples of dynamical flows acquainted with in ikon contrasting and contouring.

Methodology

First we pass out the physiological basis of the retina function by showing the part of the lateral hindrance in the optical illusions and pathologic processes generation. Then, based on these biological considerations reciprocity the genuine shade mechanisms, we study an enhancement method for contrasting medical images, using either a disconnected neural network approach, or its endless version, i.e. a non-isotropic diffusion resistance one-sided differential organized whole. Following this, we introduce other continuous operators based on similar biomimetic approaches: a chemotactic contrasting method, a viability contouring algorithm and an attentional focus worker. Then, we in the new notion of muddled quiescent Hamiltonian flows; we measure against it with the watershed method and we use it for contouring.

Conclusions

We conclude by showing the utility of these biomimetic methods with some examples of relevance in medical imaging and computed assisted surgery.

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Deracination of Surface-Related Features in a Repeated Miniature ideal of V1-V2 Interactions <<>>

Written by on June 15, 2009 – 7:00 am -

Background

Humans can effortlessly fraction surfaces and objects from two-dimensional (2D) images that are projections of the 3D world. The projection from 3D to 2D leads up to a given to occlusions of surfaces depending on their importance in astuteness and on standpoint. One way for the altruist visual way to draw monocular sagacity cues could be to pull out and simplify occlusions. It has been suggested that the impression of contour junctions, in particular T-junctions, may be employed as cue for occlusion of impenetrable surfaces. Furthermore, X-junctions could be second-hand to signal occlusion of transparent surfaces.

Methodology/Principal Findings

In this contribution, we plan a neural fashion that suggests how surface-related cues for occlusion can be extracted from a 2D luminance metaphor. The approach is based on feedforward and feedback mechanisms develop in visual cortical areas V1 and V2. In a opening step, contours are completed over term by generating groupings of like-oriented contrasts. Few iterations of feedforward and feedback processing edge to a responsible reproduction of completed contours and at the even so opportunity to a suppression of portrait clamour. In a second step, contour junctions are localized and know out from the distributed reproduction of frontiers groupings. Moreover, surface-related junctions are ideal positive such that they are evaluated to interact as to breed surface-segmentations in unvarying images. In addition, we compare our extracted linking signals with a usual computer sight way for period detection to display that our nearer outperforms unostentatious feedforward computation-based approaches.

Conclusions/Significance

A pose in is proposed that uses feedforward and feedback mechanisms to bind contextually relevant features in set-up to create uniform perimeter groupings of surfaces. Perceptually overweening point configurations are robustly extracted from neural representations to signal cues for occlusion and transparency. Far apart from previous proposals which treat localized combination configurations as 2D symbol features, we tie them to mechanisms of obvious surface separation. As a consequence, we show how junctions can hard cash their perceptual image depending on the disagreeable situation background and the spatial configuration of perimeter fragments.

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Effective Helpmate Interaction (VPI): Exploring Different Behaviors via Coordination Dynamics <<>>

Written by on June 3, 2009 – 7:00 am -

Inspired by the powerful vice of cellular neuroscience, this legal papers introduces VPI—Virtual Husband Interaction—a coupled dynamical group for studying earnest constantly interaction between a understanding and a mechanism. In this testimony of concept study, human subjects coordinate hand movements with a effective partner, an avatar of a hand-me-down whose movements are driven by a computerized version of the Haken-Kelso-Bunz (HKB) equations that suffer with been shown to manage central forms of understanding coordination. As a surrogate set-up for kindly community coordination, VPI allows one to into regions of the parameter leeway not typically explored during material interactions. A number of novella behaviors in no way theretofore observed are uncovered and accounted for. Having its heart in an empirically derived theory of mortal coordination, VPI offers a right-minded procedure to human-machine interaction and opens up new ways to conceive of how humans interact with human-like machines including empathy of underlying neural mechanisms.

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