The Third Biennial Meeting of the International Working Group on Textile Geography, Barcelona, June 3-7, 1985

1986 ◽  
Vol 27 (3) ◽  
pp. 604
Author(s):  
Philip Scranton
Keyword(s):  
Working Group ◽  
The Third ◽  
International Working Group

MDS-Patienten mit stabiler Erkrankung profitieren von kontinuierlicher Azacitidin- Therapie

2010 ◽  
Vol 01 (04) ◽  
pp. 161-162
Author(s):  
Günter Springer
Keyword(s):  
Working Group ◽  
International Working Group ◽  
American Society

Patienten mit Myelodysplastischem Syndrom (MDS) und Krankheitsstabilisierung (SD) als erstes Ansprechen haben unter kontinuierlicher Behandlung mit Azacitidin (Vida-za®) gute Aussichten, noch ein Ansprechen gemäß Kriterien der International Working Group (IWG) und dadurch einen Überlebensvorteil zu erreichen. Zu diesem Ergebnis kam eine auf dem Kongress der American Society of Oncology (ASCO) vorgestellte Analyse der Zulassungsstudie AZA-001.

scholarly journals Associations between gender, disease features and symptom burden in patients with myeloproliferative neoplasms: an analysis by the MPN QOL International Working Group

Haematologica ◽  
2016 ◽  
Vol 102 (1) ◽  
pp. 85-93 ◽  
Author(s):  
Holly L. Geyer ◽  
Heidi Kosiorek ◽  
Amylou C. Dueck ◽  
Robyn Scherber ◽  
Stefanie Slot ◽  
...  
Keyword(s):  
Working Group ◽  
Myeloproliferative Neoplasms ◽  
Symptom Burden ◽  
International Working Group

International Working Group For Chronic Mountain Sickness

2001 ◽  
pp. 439-440 ◽  
Author(s):  
Ingrid Asmussen ◽  
Luciano Bernardi ◽  
Peter Bärtsch ◽  
Tom Hornbein ◽  
Fabiola Leon-Velarde ◽  
...  
Keyword(s):  
Working Group ◽  
Chronic Mountain Sickness ◽  
International Working Group ◽  
Mountain Sickness

scholarly journals Contrasting morphology and training background in waterpolo teams of different competitive levels

2014 ◽  
Vol 20 (3) ◽  
pp. 272-279 ◽  
Author(s):  
Sofia Canossa ◽  
José Arturo Abraldes ◽  
Susana Soares ◽  
María Helena Vila ◽  
Carmen Ferragut ◽  
...  
Keyword(s):  
Muscle Mass ◽  
Working Group ◽  
Background Characteristics ◽  
Mass Percentage ◽  
International Working Group ◽  
Arm Span ◽  
Training Background ◽  
And Training

We aimed to describe and compare the general morphological, somatotype and training background characteristics of Iberian waterpolo players (22 Portuguese and 22 Spanish National Teams players) considering their playing positions. The International Working Group of Kinanthropometry guidelines was herein followed, and a somatochart was obtained through specific software (Somatotype, Calculation and Analysis. (c)2001 SWEAT technologies). Spanish players train more hours per week (22.8 ±9.5 vs.12.2 ±5.6), are taller (187.4 cm ±6.6 vs.180.3 cm ±5.1), heavier (89.2 kg ±11.6 vs.79.1 kg ±10.0), show higher arm span (195.7 cm ±8.5 vs.185.2 cm ±7.4) and muscle mass percentage (49.0% ± 1.8 vs.46.0% ±6.0), and tend to be more mesomorphic (5.19 ±1.27 vs.4.26 ±1.32) than the Portuguese players. Concerning field positions, Spanish center forward players train more hours per week than the Portuguese (20.2 ±9.1 vs.12.2 ±3.8) and show higher arm span (204.4 cm ±7.3 vs.184.0 cm ±6.5). Spanish goal keepers and outside players show higher muscle mass percentage (49.8% ±1.5 vs.42.2% ±5.2 and 49.4% ±1.5 vs.45.5% ±4.6, respectively) than the Portuguese players. These evidences should be taken into account for the improvement of waterpolo sport.

scholarly journals Utility of algorithms for the analysis of integratedSalmonellasurveillance data

2016 ◽  
Vol 144 (10) ◽  
pp. 2165-2175 ◽  
Author(s):  
L. VRBOVA ◽  
D. M. PATRICK ◽  
C. STEPHEN ◽  
C. ROBERTSON ◽  
M. KOEHOORN ◽  
...  
Keyword(s):  
Food Chain ◽  
Working Group ◽  
Surveillance System ◽  
Farm Animals ◽  
Seasonal Patterns ◽  
Surveillance Programme ◽  
The Third ◽  
Expert Working Group ◽  
Statistical Algorithms

SUMMARYThe objective of this study was to assess the use of statistical algorithms in identifying significant clusters ofSalmonellaspp. across different sectors of the food chain within an integrated surveillance programme. Three years of weeklySalmonellaserotype data from farm animals, meat, and humans were used to create baseline models (first two years) and identify weeks with counts higher than expected using surveillance algorithms in the third (test) year. During the test year, an expert working group identified events of interest reviewing descriptive analyses of same data. The algorithms did not identifySalmonellaevents presenting as gradual increases or seasonal patterns as identified by the working group. However, the algorithms did identify clusters for further investigation, suggesting they could be a valuable complementary tool within an integrated surveillance system.

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