l.georges online

Une heure hebdomadaire:

Groupes 1,2 & 3 (Mme Mutin) et groupes 4,5 & 6 (Mme Georges) à 9h, 10h et 12h respectivement les lundi 21 et 28 novembre, le 5 décembre, 20 et 27 février, 6, 13, 20 et 27 mars, et le jeudi 18 mai. Le contrôle aura lieu le 29 mai.

Groupes 8, 9 & 10 (Mme Mutin) et groupes 7, 11 et 12 (Mme Georges) à 9h, 10h et 12h respectivement les mardi 22 et 29 novembre, le 6 décembre, 21 et 28 février, 7, 14, 21 et 28 mars, et le vendredi 19 mai. Le contrôle aura lieu le 30 mai.

Groupes 13 & 14 (Mme Georges) 13h et 14h respectivement les vendredi le 25 novembre,  2 & 9 décembre, 24 février, 3, 10, 17, 24 et 31 mars, 19mai. Le contrôle aura lieu le 2 juin.

Pour tout changement ponctuel, merci de bien vouloir contacter votre enseignant au préalable.

Research questions

Further information  on RQs

Bibliometrics tools

http://eigenfactor.org/projects.php (network analysis applied to citation reports)

https://www.journalmetrics.com/ (Elsevier tool)

http://www.harzing.com/resources/publish-or-perish (based on GS data)

http://tools.medialab.sciences-po.fr/sciencescape/

http://cluster.cis.drexel.edu/~cchen/citespace/

https://sci2.cns.iu.edu/user/index.php

Voici un document contenant des éléments de réponse pour les questions vues cette semaine pour l’article : Jindal et al., “Comparison of short term results of single injection of autologous blood and steroid injection in tennis elbow: a prospective study”,  Journal of Orthopaedic Surgery and Research 2013, 8:10

Vous pouvez télécharger un article complémentaire sur l’épicondylite ici.  L’étude est très similaire à celle décrite dans l’article que nous avons vu ensemble, mais vous donne plus de détails sur les outils de mesure, notamment l’échelle de Nirschl.

Literature review

Guide

http://www.library.illinois.edu/bix/pdf/genguide/searchtips.pdf

Keyword development

https://www.powerthesaurus.org

Reference extraction

http://labs.crossref.org/pdfextract/

Datasets

www.ukdataservice.ac.uk – datasets (registration required) from cohorts

Data.gov & healthdata.gov – US datasets, most of which are publicly available

http://www.mortality.org – The human mortality database

www.kdnuggets.com/datasets/index.html – includes some health-related resources

Text analysis

http://www.tapor.ca/ – directory

http://textometrie.ens-lyon.fr/ – TXM free

https://gate.ac.uk/ – open source

Data analysis/Statistics

JASP – https://jasp-stats.org/

SOFA – http://www.sofastatistics.com/home.php – advertised as user-friendly

Voici le premier article en version pdf : Cardiovascular & cerebrovascular effects in response to Red Bull…

Background

Tumor associated antigens (TAAs) have shown potential in the detection of cancers, but low sensitivity hampers their usefulness.  We sought to discover whether an array of TAAs might improve autoantibody detection, and make them a more useful diagnostic tool.

Methods

A panel of TAAs, including Imp1, p62, Koc, p53, C-myc, Cyclin B1, Survivin, and p16 full-length recombinant proteins, was used to test sera from 304 cancer patients and 58 normal individuals, by enzyme-linked immunoassay and western blotting.

Results

The frequency of autoantibodies to a single TAA varied according to the type of cancer, yet generally remained below 20%.  Successive addition of TAAs led to a stepwise increase, the degree of which varied between types of cancer, but the combined mini-array of 8 TAAs produced a frequency of between 56.1% and 66.0% for cancers and only 13.8% in serum from healthy individuals.

Conclusion

Our results support the hypothesis that using a combined mini-array can further enhance the immunodiagnosis of cancer based on the detection of anti-TAA antibodies. The design of specific TAA arrays for different types of cancer may lead to better sensitivity rates, and it may even be possible to use such panels for early detection in high-risk individuals.