Outreach to public health professionals: lessons learned from a collaborative Iowa public health project*

In 1995, the National Library of Medicine (NLM) and the Public Health Service (PHS) recommended that special attention be given to the information needs of unaffiliated public health professionals. In response, the National Network of Libraries of Medicine (NN/LM) Greater Midwest Region initiated a collaborative outreach program for public health professionals working in rural east and central Iowa. Five public health agencies were provided equipment, training, and support for accessing the Internet. Key factors in the success of this project were: (1) the role of collaborating agencies in the implementation and ongoing success of information access outreach projects; (2) knowledge of the socio-cultural factors that influence the information-seeking habits of project participants (public health professionals); and (3) management of changing or varying technological infrastructures. Working with their funding, personnel from federal, state, and local governments enhanced the information-seeking skills of public health professionals in rural eastern and central Iowa communities.

Transposon tagging of tobacco mosaic virus resistance gene N: its possible role in the TMV-N-mediated signal transduction pathway.

Plants can recognize and resist invading pathogens by signaling the induction of rapid defense responses. Often these responses are mediated by single dominant resistance genes (R genes). The products of R genes have been postulated to recognize the pathogen and trigger rapid host defense responses. Here we describe isolation of the classical resistance gene N of tobacco that mediates resistance to the well-characterized pathogen tobacco mosaic virus (TMV). The N gene was isolated by transposon tagging using the maize Activator (Ac) transposon. We confirmed isolation of the N gene by complementation of the TMV-sensitive phenotype with a genomic DNA fragment. Sequence analysis of the N gene shows that it encodes a protein with an amino-terminal domain similar to that of the cytoplasmic domains of the Drosophila Toll protein and the interleukin 1 receptor in mammals, a putative nucleotide-binding site and 14 imperfect leucine-rich repeats. The presence of these functional domains in the predicted N gene product is consistent with the hypothesis that the N resistance gene functions in a signal transduction pathway. Similarities of N to Toll and the interleukin 1 receptor suggest a similar signaling mechanism leading to rapid gene induction and TMV resistance.

Mutational analysis of the conserved region 2 site of adenovirus E1A and its effect on binding to the retinoblastoma gene product: use of the "double-tagging" assay.

We have explored the feasibility of using a "double-tagging" assay for assessing which amino acids of a protein are responsible for its binding to another protein. We have chosen the adenovirus E1A-retinoblastoma gene product (pRB) proteins for a model system, and we focused on the high-affinity conserved region 2 of adenovirus E1A (CR2). We used site-specific mutagenesis to generate a mutant E1A gene with a lysine instead of an aspartic acid at position 121 within the CR2 site. We demonstrated that this mutant exhibited little binding to pRB by the double-tagging assay. We also have shown that this lack of binding is not due to any significant decrease in the level of expression of the beta-galactosidase-E1A fusion protein. We then created a "library" of phage expressing beta-galactosidase-E1A fusion proteins with a variety of different mutations within CR2. This library of E1A mutations was used in a double-tagging screening to identify mutant clones that bound to pRB. Three classes of phage were identified: the vast majority of clones were negative and exhibited no binding to pRB. Approximately 1 in 10,000 bound to pRB but not to E1A ("true positives"). A variable number of clones appeared to bind equally well to both pRB and E1A ("false positives"). The DNA sequence of 10 true positive clones yielded the following consensus sequence: DLTCXEX, where X = any amino acid. The recovery of positive clones with only one of several allowed amino acids at each position suggests that most, if not all, of the conserved residues play an important role in binding to pRB. On the other hand, the DNA sequence of the negative clones appeared random. These results are consistent with those obtained from other sources. These data suggest that a double-tagging assay can be employed for determining which amino acids of a protein are important for specifying its interaction with another protein if the complex forms within bacteria. This assay is rapid and up to 1 x 10(6) mutations can be screened at one time.

Chemically tagging the Hyades Supercluster. A homogeneous sample of F6-K4 kinematically selected northern stars

Stellar kinematic groups are kinematical coherent groups of stars that might have a common origin. These groups are dispersed throughout the Galaxy over time by the tidal effects of both Galactic rotation and disc heating, although their chemical content remains unchanged. The aim of chemical tagging is to establish that the abundances of every element in the analysis are homogeneus among the members. We study the case of the Hyades Supercluster to compile a reliable list of members (FGK stars) based on our chemical tagging analysis. For a total of 61 stars from the Hyades Supercluster, stellar atmospheric parameters (T_eff, log g, ξ, and [Fe/H]) are determined using our code called StePar, which is based on the sensitivity to the stellar atmospheric parameters of the iron EWs measured in the spectra. We derive the chemical abundances of 20 elements and find that their [X/Fe] ratios are consistent with Galactic abundance trends reported in previous studies. The chemical tagging method is applied with a carefully developed differential abundance analysis of each candidate member of the Hyades Supercluster, using a well-known member of the Hyades cluster as a reference (vB 153). We find that only 28 stars (26 dwarfs and 2 giants) are members, i.e. that 46% of our candidates are members based on the differential abundance analysis. This result confirms that the Hyades Supercluster cannot originate solely from the Hyades cluster.

Recognizing and tagging temporal expressions in Spanish

This paper shows a system about the recognition of temporal expressions in Spanish and the resolution of their temporal reference. For the identification and recognition of temporal expressions we have based on a temporal expression grammar and for the resolution on an inference engine, where we have the information necessary to do the date operation based on the recognized expressions. For further information treatment, the output is proposed by means of XML tags in order to add standard information of the resolution obtained. Different kinds of annotation of temporal expressions are explained in another articles [WILSON2001][KATZ2001]. In the evaluation of our proposal we have obtained successful results.

Let´s go the University Laboratory: a successful collaborative experience

Paper submitted to ICERI2013, the 6th International Conference of Education, Research and Innovation, Seville (Spain), November 18-20, 2013.

Providing Collaborative Support to Virtual and Remote Laboratories

Virtual and remote laboratories (VRLs) are e-learning resources that enhance the accessibility of experimental setups providing a distance teaching framework which meets the student's hands-on learning needs. In addition, online collaborative communication represents a practical and a constructivist method to transmit the knowledge and experience from the teacher to students, overcoming physical distance and isolation. This paper describes the extension of two open source tools: (1) the learning management system Moodle, and (2) the tool to create VRLs Easy Java Simulations (EJS). Our extension provides: (1) synchronous collaborative support to any VRL developed with EJS (i.e., any existing VRL written in EJS can be automatically converted into a collaborative lab with no cost), and (2) support to deploy synchronous collaborative VRLs into Moodle. Using our approach students and/or teachers can invite other users enrolled in a Moodle course to a real-time collaborative experimental session, sharing and/or supervising experiences at the same time they practice and explore experiments using VRLs.

PoS-tagging the Web in Portuguese. National varieties, text typologies and spelling systems

The great amount of text produced every day in the Web turned it as one of the main sources for obtaining linguistic corpora, that are further analyzed with Natural Language Processing techniques. On a global scale, languages such as Portuguese - official in 9 countries - appear on the Web in several varieties, with lexical, morphological and syntactic (among others) differences. Besides, a unified spelling system for Portuguese has been recently approved, and its implementation process has already started in some countries. However, it will last several years, so different varieties and spelling systems coexist. Since PoS-taggers for Portuguese are specifically built for a particular variety, this work analyzes different training corpora and lexica combinations aimed at building a model with high-precision annotation in several varieties and spelling systems of this language. Moreover, this paper presents different dictionaries of the new orthography (Spelling Agreement) as well as a new freely available testing corpus, containing different varieties and textual typologies.

Advances in camera trap data management tools: Towards collaborative development and integration with GIS

Camera traps have become a widely used technique for conducting biological inventories, generating a large number of database records of great interest. The main aim of this paper is to describe a new free and open source software (FOSS), developed to facilitate the management of camera-trapped data which originated from a protected Mediterranean area (SE Spain). In the last decade, some other useful alternatives have been proposed, but ours focuses especially on a collaborative undertaking and on the importance of spatial information underpinning common camera trap studies. This FOSS application, namely, “Camera Trap Manager” (CTM), has been designed to expedite the processing of pictures on the .NET platform. CTM has a very intuitive user interface, automatic extraction of some image metadata (date, time, moon phase, location, temperature, atmospheric pressure, among others), analytical (Geographical Information Systems, statistics, charts, among others), and reporting capabilities (ESRI Shapefiles, Microsoft Excel Spreadsheets, PDF reports, among others). Using this application, we have achieved a very simple management, fast analysis, and a significant reduction of costs. While we were able to classify an average of 55 pictures per hour manually, CTM has made it possible to process over 1000 photographs per hour, consequently retrieving a greater amount of data.

Comparing Common Data Environment Platforms for Student Collaborative Working: A Case Study from Ulster University

PAS1192-2 (2013) outlines the “fundamental principles of Level 2 information modeling”, one of these principles is the use of what is commonly referred to as a Common Data Environment (CDE). A CDE could be described as an internet-enabled cloudhosting platform, accessible to all construction team members to access shared project information. For the construction sector to achieve increased productivity goals, the next generation of industry professionals will need to be educated in a way that provides them with an appreciation of Building Information Modelling (BIM) working methods, at all levels, including an understanding of how data in a CDE should be structured, managed, shared and published. This presents a challenge for educational institutions in terms of providing a CDE that addresses the requirements set out in PAS1192-2, and mirrors organisational and professional working practices without causing confusion due to over complexity. This paper presents the findings of a two-year study undertaken at Ulster University comparing the use of a leading industry CDE platform with one derived from the in-house Virtual Learning Environment (VLE), for the delivery of a student BIM project. The research methodology employed was a qualitative case study analysis, focusing on observations from the academics involved and feedback from students. The results of the study show advantages for both CDE platforms depending on the learning outcomes required.

Illusions of a ‘Bond’: Tagging cultural products across online platforms

La plupart des études sur l'étiquetage social porte sur une plateforme ou un type de plateforme précis, ce qui limite la portée de leurs résultats. Cette étude explore et compare les pratiques d'étiquetage social de quatre plateformes--Goodreads, un catalogue de bibliothèque publique, Last.fm et WordPress--au moyen d'une étude de cas multiples et emboîtés. Le contenu généré par les utilisateurs, principalement les étiquettes ou "tags", lié au livre Casino royale de Ian Fleming ou à ses produits dérivés ou associés (p. ex. : chanson thème, film, billet de blogue) a été analysé avec une approche qualitative et inductive. L'analyse révèle que le contenu généré par les utilisateurs des quatre plateformes mettait l'emphase sur les événements historiques associés au livre tout en fournissant de nombreux points d'accès plus subjectifs : recommandation, ton, ambiance, opinion, expérience de lecture, d'écoute ou de visionnement. On remarque par ailleurs des différences entre les étiquettes associées au livre et à ses produits dérivés : alors que le contenu généré par les utilisateurs en lien avec le produit d'origine dans les catalogues de bibliothèques et dans Goodreads portait essentiellement sur le livre, les étiquettes attribuées par les utilisateurs aux produits dérivés dans Last.fm (la chanson thème du film) et WordPress (des billets de blogues sur le livre ou le film) renvoyaient souvent à d'autres produits culturels, incluant des livres, de la musique et des films.

The Impact of the Collaborative Economy on the Labour Market. CEPS Special Report No. 138, June 2016

The digitalisation of work is creating new ways of intermediating work, with for example platforms intermediating work between individuals online. These so-called online collaborative platforms have the potential to fundamentally change the labour market, but for the moment, with an estimated 100,000 active workers or 0.05% of total employees in the EU, they do not seem to have a large impact on the offline/traditional labour market or the create/destroy impetus. This paper analyses the direct and indirect impact of the collaborative economy on the labour market. The findings, based on a collection of empirical studies, suggest that most workers do not earn their main income through online platforms and they obtain earnings from different types of platforms. Earnings from physical/local services are, in general, substantially higher than virtual services that can potentially be delivered globally. The paper also assesses the conditions, number of hours worked and employment status, compared to the offline labour market, and finds shows large differences across types of workers, platforms, and countries. The emergence of online collaborative platforms poses some challenges and opportunities for policy-makers. On the one hand, they may be challenged to ensure minimum remuneration, fair evaluation, tax declaration and social protection, and reduction of the administrative burden. On the other hand, the new technologies may provide opportunities to (partially) liberate some professional services and activate specific groups at a distance away from the labour market. This paper was commissioned by the European Commission as input into its European Agenda for the Collaborative Economy. This Ag

Illusions of a ‘Bond’: Tagging cultural products across online platforms

La plupart des études sur l'étiquetage social porte sur une plateforme ou un type de plateforme précis, ce qui limite la portée de leurs résultats. Cette étude explore et compare les pratiques d'étiquetage social de quatre plateformes--Goodreads, un catalogue de bibliothèque publique, Last.fm et WordPress--au moyen d'une étude de cas multiples et emboîtés. Le contenu généré par les utilisateurs, principalement les étiquettes ou "tags", lié au livre Casino royale de Ian Fleming ou à ses produits dérivés ou associés (p. ex. : chanson thème, film, billet de blogue) a été analysé avec une approche qualitative et inductive. L'analyse révèle que le contenu généré par les utilisateurs des quatre plateformes mettait l'emphase sur les événements historiques associés au livre tout en fournissant de nombreux points d'accès plus subjectifs : recommandation, ton, ambiance, opinion, expérience de lecture, d'écoute ou de visionnement. On remarque par ailleurs des différences entre les étiquettes associées au livre et à ses produits dérivés : alors que le contenu généré par les utilisateurs en lien avec le produit d'origine dans les catalogues de bibliothèques et dans Goodreads portait essentiellement sur le livre, les étiquettes attribuées par les utilisateurs aux produits dérivés dans Last.fm (la chanson thème du film) et WordPress (des billets de blogues sur le livre ou le film) renvoyaient souvent à d'autres produits culturels, incluant des livres, de la musique et des films.

Reference materials for collaborative tests of air quality methods /

Mode of access: Internet.