Precision and scaling in morphogen gradient read-out.

Morphogen gradients infer cell fate as a function of cellular position. Experiments in Drosophila embryos have shown that the Bicoid (Bcd) gradient is precise and exhibits some degree of scaling. We present experimental results on the precision of Bcd target genes for embryos with a single, double or quadruple dose of bicoid demonstrating that precision is highest at mid-embryo and position dependent, rather than gene dependent. This confirms that the major contribution to precision is achieved already at the Bcd gradient formation. Modeling this dynamic process, we investigate precision for inter-embryo fluctuations in different parameters affecting gradient formation. Within our modeling framework, the observed precision can only be achieved by a transient Bcd profile. Studying different extensions of our modeling framework reveals that scaling is generally position dependent and decreases toward the posterior pole. Our measurements confirm this trend, indicating almost perfect scaling except for anterior most expression domains, which overcompensate fluctuations in embryo length.

Implementation of guidelines on delirium in a General Hospital: a before-after study of their impact on caregivers' knowledge and clinical skills

INTRODUCTION: Delirium is a highly prevalent disorder, with serious consequences for the hospitalised patient. Nevertheless, it remains under-diagnosed and under-treated. We developed evidence-based clinical practice guidelines (CPGs) focusing on prevention, screening, diagnosis, and treatment of delirium in a general hospital. This article presents the implementation process of these CPGs and a before-after study assessing their impact on healthcare professionals' knowledge and on clinical practice. METHODS: CPGs on delirium were first implemented in two wards (Neurology and Neurosurgery) of the Lausanne university hospital. Interactive one-hour educational sessions for small groups of nurses and physicians were organised. Participants received a summary of the guidelines and completed a multiple choice questionnaire, assessing putative changes in knowledge, before and three months after the educational session. Other indicators such as "diagnosis of delirium" reported in the discharge letters, and mean duration of patients' hospital stay before and after implementation were compared. RESULTS: Eighty percent of the nurses and physicians from the Neurology and Neurosurgery wards attended the educational sessions. Both nurses and physicians significantly improved their knowledge after the implementation (+9 percentage-points). Other indicators were not modified by the intervention. CONCLUSION: A single interactive intervention improved both nurses' and physicians' knowledge on delirium. Sustained and repeated interventions are probably needed to demonstrate changes in clinical practice.

Large-scale clustering through functional embedding

We present a new framework for large-scale data clustering. The main idea is to modify functional dimensionality reduction techniques to directly optimize over discrete labels using stochastic gradient descent. Compared to methods like spectral clustering our approach solves a single optimization problem, rather than an ad-hoc two-stage optimization approach, does not require a matrix inversion, can easily encode prior knowledge in the set of implementable functions, and does not have an ?out-of-sample? problem. Experimental results on both artificial and real-world datasets show the usefulness of our approach.

Note on seismic hazard assessment using gradient of uplift velocities on the Turan Block (Central Asia)

Uplift gradients can provide the location of highly strained zones, which can be considered to be seismic. The Turan block (Central Asia) contains zones with high gradient of uplift velocities, above the threshold 0.04mm km-1year-1. Some of these zones are associated with important seismic activity and others are not correlated with any recent important recorded earthquakes, however, recent faults scarps as well as diverted rivers may indicate a recent tectonic activity. This threshold of gradient is probably a significant rheologic property of the upper crust. On the basis of these considerations the Uzboy river area is proposed as a potential high seismic hazard zone.

The INTERNORM Project: Bridging Two Worlds of Expert- and Lay-Knowledge in Standardization

This paper presents a pilot project to reinforce participatory practices in standardization. The INTERNORM project creates an interactive knowledge center based on the sharing of academic skills and experiences accumulated by the civil society, especially consumer associations, environmental associations and trade unions to strengthen the participatory process of standardization. The first objective of the project is action-oriented: INTERNORM provides a common knowledge pool supporting the participation of civil society actors to international standard-setting activities by bringing them together with academic experts in working groups and providing logistic and financial support to their participation in meetings of national and international technical committees. The second objective is analytical: the standardization action provides a research field for a better understanding of the participatory dynamics underpinning international standardization. This paper presents three incentives that explain civil society (non-)involvement in standardization that overcome conventional resource-based hypotheses: an operational incentive related to the use of standards in the selective goods provided by associations to their membership; a thematic incentive provided by the setting of priorities by strategic committees created in some standardization organization; and a rhetorical incentive related to the discursive resource that civil society concerns offers to the different stakeholders.

A knowledge based signal processing approach to tonic identification in indian classical music

In this paper, we describe several techniques for detecting tonic pitch value in Indian classical music. In Indian music, the raga is the basic melodic framework and it is built on the tonic. Tonic detection is therefore fundamental for any melodic analysis in Indian classical music. This workexplores detection of tonic by processing the pitch histograms of Indian classic music. Processing of pitch histograms using group delay functions and its ability to amplify certain traits of Indian music in the pitch histogram, is discussed. Three different strategies to detect tonic, namely, the concert method, the template matching and segmented histogram method are proposed. The concert method exploits the fact that the tonic is constant over a piece/concert.templatematchingmethod and segmented histogrammethodsuse the properties: (i) the tonic is always present in the background, (ii) some notes are less inflected and dominant, to detect the tonic of individual pieces. All the three methods yield good results for Carnatic music (90−100% accuracy), while for Hindustanimusic, the templatemethod works best, provided the v¯adi samv¯adi notes for a given piece are known (85%).

ViralZone: recent updates to the virus knowledge resource.

ViralZone (http://viralzone.expasy.org) is a knowledge repository that allows users to learn about viruses including their virion structure, replication cycle and host-virus interactions. The information is divided into viral fact sheets that describe virion shape, molecular biology and epidemiology for each viral genus, with links to the corresponding annotated proteomes of UniProtKB. Each viral genus page contains detailed illustrations, text and PubMed references. This new update provides a linked view of viral molecular biology through 133 new viral ontology pages that describe common steps of viral replication cycles shared by several viral genera. This viral cell-cycle ontology is also represented in UniProtKB in the form of annotated keywords. In this way, users can navigate from the description of a replication-cycle event, to the viral genus concerned, and the associated UniProtKB protein records.

A Fast Gradient Approximation for Nonlinear Blind Signal Processing

When dealing with nonlinear blind processing algorithms (deconvolution or post-nonlinear source separation), complex mathematical estimations must be done giving as a result very slow algorithms. This is the case, for example, in speech processing, spike signals deconvolution or microarray data analysis. In this paper, we propose a simple method to reduce computational time for the inversion of Wiener systems or the separation of post-nonlinear mixtures, by using a linear approximation in a minimum mutual information algorithm. Simulation results demonstrate that linear spline interpolation is fast and accurate, obtaining very good results (similar to those obtained without approximation) while computational time is dramatically decreased. On the other hand, cubic spline interpolation also obtains similar good results, but due to its intrinsic complexity, the global algorithm is much more slow and hence not useful for our purpose.