Taxonomy, phylogeny and molecular epidemiology of Echinococcus multilocularis: From fundamental knowledge to health ecology.

Alveolar echinococcosis, caused by the tapeworm Echinococcus multilocularis, is one of the most severe parasitic diseases in humans and represents one of the 17 neglected diseases prioritised by the World Health Organisation (WHO) in 2012. Considering the major medical and veterinary importance of this parasite, the phylogeny of the genus Echinococcus is of considerable importance; yet, despite numerous efforts with both mitochondrial and nuclear data, it has remained unresolved. The genus is clearly complex, and this is one of the reasons for the incomplete understanding of its taxonomy. Although taxonomic studies have recognised E. multilocularis as a separate entity from the Echinococcus granulosus complex and other members of the genus, it would be premature to draw firm conclusions about the taxonomy of the genus before the phylogeny of the whole genus is fully resolved. The recent sequencing of E. multilocularis and E. granulosus genomes opens new possibilities for performing in-depth phylogenetic analyses. In addition, whole genome data provide the possibility of inferring phylogenies based on a large number of functional genes, i.e. genes that trace the evolutionary history of adaptation in E. multilocularis and other members of the genus. Moreover, genomic data open new avenues for studying the molecular epidemiology of E. multilocularis: genotyping studies with larger panels of genetic markers allow the genetic diversity and spatial dynamics of parasites to be evaluated with greater precision. There is an urgent need for international coordination of genotyping of E. multilocularis isolates from animals and human patients. This could be fundamental for a better understanding of the transmission of alveolar echinococcosis and for designing efficient healthcare strategies.

Modeling Commercial Knowledge to Develop Advanced Agent-based Marketplaces for E-commerce

This paper argues about the utility of advanced knowledge-based techniques to develop web-based applications that help consumers in finding products within marketplaces in e-commerce. In particular, we describe the idea of model-based approach to develop a shopping agent that dynamically configures a product according to the needs and preferences of customers. Finally, the paper summarizes the advantages provided by this approach.

Applying semantic knowledge to the automatic processing of temporal expressions and events in natural language

This paper addresses the problem of the automatic recognition and classification of temporal expressions and events in human language. Efficacy in these tasks is crucial if the broader task of temporal information processing is to be successfully performed. We analyze whether the application of semantic knowledge to these tasks improves the performance of current approaches. We therefore present and evaluate a data-driven approach as part of a system: TIPSem. Our approach uses lexical semantics and semantic roles as additional information to extend classical approaches which are principally based on morphosyntax. The results obtained for English show that semantic knowledge aids in temporal expression and event recognition, achieving an error reduction of 59% and 21%, while in classification the contribution is limited. From the analysis of the results it may be concluded that the application of semantic knowledge leads to more general models and aids in the recognition of temporal entities that are ambiguous at shallower language analysis levels. We also discovered that lexical semantics and semantic roles have complementary advantages, and that it is useful to combine them. Finally, we carried out the same analysis for Spanish. The results obtained show comparable advantages. This supports the hypothesis that applying the proposed semantic knowledge may be useful for different languages.

Immunization of adults : a call to action.

Mode of access: Internet.

Call to action : better nutrition for mothers, children, and families : December 6-8, 1990, Washington, D.C. /

"This publication has been produced by the National Center for Education in Maternal and Child Health under its cooperative agreement (MCU-117007) with the Maternal and Child Health Bureau, Health Resources and Services Administration, Public Health Service, U.S. Department of Health and Human Services"--Verso of t.p.

Sexual knowledge, in plain and simple language; sexology or knowledge of self and sex for both male and female: especially for the instruction of youths and maidens, young wives and young husbands, all fathers and all mothers, school-teachers and nurses, and all others who feel a need of proper and reliable information on sex hygiene, sex problems, and the best way and the best time to impart sexual knowledge to boys and girls about to enter into manhood and womanhood,

At head of title: Sexual education for sex problems: sex hygiene by highest authority.

Aviation industry, a call to action : a joint FAA industry partnership to improve pilot/controller communications.

Shipping list no.: 89-297-P.

Using secondary knowledge to support decision tree classification of retrospective clinical data

Retrospective clinical data presents many challenges for data mining and machine learning. The transcription of patient records from paper charts and subsequent manipulation of data often results in high volumes of noise as well as a loss of other important information. In addition, such datasets often fail to represent expert medical knowledge and reasoning in any explicit manner. In this research we describe applying data mining methods to retrospective clinical data to build a prediction model for asthma exacerbation severity for pediatric patients in the emergency department. Difficulties in building such a model forced us to investigate alternative strategies for analyzing and processing retrospective data. This paper describes this process together with an approach to mining retrospective clinical data by incorporating formalized external expert knowledge (secondary knowledge sources) into the classification task. This knowledge is used to partition the data into a number of coherent sets, where each set is explicitly described in terms of the secondary knowledge source. Instances from each set are then classified in a manner appropriate for the characteristics of the particular set. We present our methodology and outline a set of experiential results that demonstrate some advantages and some limitations of our approach. © 2008 Springer-Verlag Berlin Heidelberg.

From words to action:visibility of management in supporting interdisciplinary team working in an acute rehabilitative geriatric hospital

Purpose: The following case study aims to explore management's, health professionals' and patients' experiences on the extent to which there is visibility of management support in achieving effective interdisciplinary team working, which is explicitly declared in the mission statement of a 60-bed acute rehabilitative geriatric hospital in Malta. Design/methodology/approach: A total of 21 semi-structured interviews were conducted with the above-mentioned key stakeholders. Findings: Three main distinct yet interdependent themes emerged as a result of thematic analysis: "managing a team-friendly hospital", "interdisciplinary team components", and "interdisciplinary team processes". The findings show that visibility of management support and its alignment with the process and content levels of interdisciplinary teamwork are key to integrated care for acute rehabilitative geriatric patients. Research limitations/implications: The emerging phenomena may not be reproducible in a different context; although many of the emerging themes could be comfortably matched with the existing literature. Practical implications: The implications are geared towards raising the consciousness and conscientiousness of good practice in interdisciplinary teamwork in hospitals, as well as in emphasizing organizational and management support as crucial factors for team-based organizations. Social implications: Interdisciplinary teamwork in acute rehabilitative geriatrics provides optimal quality and integrated health care delivery with the aim that the older persons are successfully discharged back to the community. Originality/value: The authors draw on solid theoretical frameworks - the complexity theory, team effectiveness model and the social identity theory - to support their major finding, namely the alignment of organizational and management support with intra-team factors at the process and content level. © Emerald Group Publishing Limited.