Relancer le rôle économique de la production cotonnière dans un marché défavorable : quel appui de la recherche ?

Les analyses de long terme éclairent sur le développement économique et sur les relations entre production et utilisation industrielle du coton. La tendance est d'évaluer l'intérêt économique du coton à partir du seul prix d'achat : cela reste insuffisant pour une évaluation plus globale et plus juste des impacts socio-économiques, à laquelle la recherche doit s'associer. Pour l'Afrique zone franc, l'importance du rôle économique du coton est constatée. Mais ce fait est hypothéqué par un marché mondial défavorable. Au delà des cours historiquement bas depuis la fin 1998, plusieurs facteurs, dont les fibres artificielles, limitent la demande en coton et conduisent à une perte de marché sur le marché des fibres textiles. Les doutes sur les modes de production, notamment les effets des pesticides, portent atteinte au caractère naturel du coton, qui est un élément essentiel de promotion depuis les années 70. Pour rester présents sur le marché mondial, les pays producteurs doivent être plus compétitifs, tant par les coûts que par la qualité. Cela est d'autant plus vrai pour les pays qui ne peuvent pas soutenir leurs producteurs. La notion de qualité ne renvoie pas qu'aux caractéristiques technologiques de la fibre, mais aussi à la façon dont elle est obtenue - organisation sociale, protection de l'environnement. Pour l'Afrique zone franc, l'objectif est une production compétitive et durable, adaptée aux conditions socio-économiques des producteurs. Cela implique des pratiques culturales tenant compte de leurs contraintes, fruits d'une démarche de recherche adéquate. (Résumé d'auteur

Scim: Intelligent Skimming Support for Scientific Papers

Researchers need to keep up with immense literatures, though it is time-consuming and difficult to do so. In this paper, we investigate the role that intelligent interfaces can play in helping researchers skim papers, that is, rapidly reviewing a paper to attain a cursory understanding of its contents. After conducting formative interviews and a design probe, we suggest that skimming aids should aim to thread the needle of highlighting content that is simultaneously diverse, evenly-distributed, and important. We introduce Scim, a novel intelligent skimming interface that reifies this aim, designed to support the skimming process by highlighting salient paper contents to direct a skimmer's focus. Key to the design is that the highlights are faceted by content type, evenly-distributed across a paper, with a density configurable by readers at both the global and local level. We evaluate Scim with an in-lab usability study and deployment study, revealing how skimming aids can support readers throughout the skimming experience and yielding design considerations and tensions for the design of future intelligent skimming tools

Simultaneous observations of the cusp with IMAGE Low Energy Neutral Atom Imager and SuperDARN radar

The Low Energy Neutral Atom (LENA) imager on the IMAGE spacecraft observed significant emission in the high-latitude magnetosheath direction during an extreme solar wind condition on April 11, 2001. The emission was modulated in such a manner that the sources shifted equatorward in the high-latitude sheath while sometimes undergoing brief poleward returns. This modulation and the IMF BZ tend to have correlative variations. During this interval of interest, SuperDARN was receiving strong backscattered signals from large potions of the dayside ionosphere. This observation indicates that the equatorward motion of the cusp latitude consists of rapid and slow phases. This kind of equatorward shift appears to correlate with the motion of the emission observed by LENA in the direction of the high-latitude sheath, which gives evidence for a means for monitoring the high-altitude cusp using IMAGE/LENA. It thus appears that the two remote sensing observations, i.e., IMAGE/LENA and SuperDARN radar would provide promising opportunities to understand the detailed dynamics of the polar cusp extending from the low-altitudes to the high-altitudes

The association of RANTES polymorphism with severe acute respiratory syndrome in Hong Kong and Beijing Chinese

<p>Abstract</p> <p>Background</p> <p>Chemokines play important roles in inflammation and antiviral action. We examined whether polymorphisms of <it>RANTES, IP-10 </it>and <it>Mig </it>affect the susceptibility to and outcome of severe acute respiratory syndrome (SARS).</p> <p>Methods</p> <p>We tested the polymorphisms of <it>RANTES, IP-10 </it>and <it>Mig </it>for their associations with SARS in 495 Hong Kong Chinese SARS patients and 578 controls. Then we tried to confirm the results in 356 Beijing Chinese SARS patients and 367 controls.</p> <p>Results</p> <p><it>RANTES </it>-28 G allele was associated with SARS susceptibility in Hong Kong Chinese (<it>P </it>< 0.0001, OR = 2.80, 95%CI:2.11–3.71). Individuals with <it>RANTES </it>-28 CG and GG genotypes had a 3.28-fold (95%CI:2.32–4.64) and 3.06-fold (95%CI:1.47–6.39) increased risk of developing SARS respectively (<it>P </it>< 0.0001). This -28 G allele conferred risk of death in a gene-dosage dependent manner (<it>P </it>= 0.014) with CG and GG individuals having a 2.12-fold (95% CI: 1.11–4.06) and 4.01-fold (95% CI: 1.30–12.4) increased risk. For the replication of <it>RANTES </it>data in Beijing Chinese, the -28 G allele was not associated with susceptibility to SARS. However, -28 CG (OR = 4.27, 95%CI:1.64–11.1) and GG (OR = 3.34, 95%CI:0.37–30.7) were associated with admission to intensive care units or death due to SARS (<it>P </it>= 0.011).</p> <p>Conclusion</p> <p><it>RANTES </it>-28 G allele plays a role in the pathogenesis of SARS.</p

The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces

Scholarly publications are key to the transfer of knowledge from scholars to others. However, research papers are information-dense, and as the volume of the scientific literature grows, the need for new technology to support the reading process grows. In contrast to the process of finding papers, which has been transformed by Internet technology, the experience of reading research papers has changed little in decades. The PDF format for sharing research papers is widely used due to its portability, but it has significant downsides including: static content, poor accessibility for low-vision readers, and difficulty reading on mobile devices. This paper explores the question "Can recent advances in AI and HCI power intelligent, interactive, and accessible reading interfaces -- even for legacy PDFs?" We describe the Semantic Reader Project, a collaborative effort across multiple institutions to explore automatic creation of dynamic reading interfaces for research papers. Through this project, we've developed ten research prototype interfaces and conducted usability studies with more than 300 participants and real-world users showing improved reading experiences for scholars. We've also released a production reading interface for research papers that will incorporate the best features as they mature. We structure this paper around challenges scholars and the public face when reading research papers -- Discovery, Efficiency, Comprehension, Synthesis, and Accessibility -- and present an overview of our progress and remaining open challenges

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe