Report on the third session of the ad hoc IPC Reform Working Group, Geneva, 8 June 2000

2000 ◽  
Vol 22 (3) ◽  
pp. 215-217 ◽  
Author(s):  
Paul Claus
Keyword(s):  
Ad Hoc ◽  
2016 ◽  
Vol 144 (10) ◽  
pp. 2165-2175 ◽  
Author(s):  
L. VRBOVA ◽  
D. M. PATRICK ◽  
C. STEPHEN ◽  
C. ROBERTSON ◽  
M. KOEHOORN ◽  
...  

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.


2015 ◽  
Vol 8 (10) ◽  
pp. 9045-9102 ◽  
Author(s):  
R. F. Ivanovic ◽  
L. J. Gregoire ◽  
M. Kageyama ◽  
D. M. Roche ◽  
P. J. Valdes ◽  
...  

Abstract. The last deglaciation, which marked the transition between the last glacial and present interglacial periods, was punctuated by a series of rapid (centennial and decadal) climate changes. Numerical climate models are useful for investigating mechanisms that underpin the events, especially now that some of the complex models can be run for multiple millennia. We have set up a Paleoclimate Modelling Intercomparison Project (PMIP) working group to coordinate efforts to run transient simulations of the last deglaciation, and to facilitate the dissemination of expertise between modellers and those engaged with reconstructing the climate of the last 21 thousand years. Here, we present the design of a coordinated Core simulation over the period 21–9 thousand years before present (ka) with time varying orbital forcing, greenhouse gases, ice sheets, and other geographical changes. A choice of two ice sheet reconstructions is given, but no ice sheet or iceberg meltwater should be prescribed in the Core simulation. Additional focussed simulations will also be coordinated on an ad-hoc basis by the working group, for example to investigate the effect of ice sheet and iceberg meltwater, and the uncertainty in other forcings. Some of these focussed simulations will focus on shorter durations around specific events to allow the more computationally expensive models to take part.


Author(s):  
G. Poyyamoli

Most of the remote areas such as mountains and islands are characterized by the features such as remoteness, fragility, endemism, and upland/lowland or island/mainland linkages, besides richer biodiversity and indigenous knowledge, thus attracting a large number of quality conscious tourists. However, conventional “top-down”, reactive and ad-hoc approaches and ill-conceived “development” activities such as infrastructure for mass tourism will destroy the very natural and cultural resource base on which the tourism thrives in these areas. These trends have led to the paradigm shifts towards community-based, participatory, and pro-active management strategies. Appropriate strategies for integrating biodiversity conservation and sustainable livelihoods by regenerating nature and culture for facilitating sustainable development of remote ecosystems in the third world are discussed in this chapter.


2016 ◽  
Vol 32 (2) ◽  
pp. 589 ◽  
Author(s):  
Javier Arana ◽  
Daniel Lapresa ◽  
María Teresa Anguera ◽  
Belén Garzón

Observational studies in the field of sport are complicated by the added difficulty of having to analyse multiple, complex events or behaviours that may last just a fraction of a second. In this study, we analyse three aspects related to the reliability of data collected in such a study. The first aim was to analyse and compare the reliability of data sets assessed quantitatively (calculation of kappa statistic) and qualitatively (consensus agreement method). The second aim was to describe how, by ensuring the alignment of events, we calculated the kappa statistic for the order parameter using SDIS-GSEQ software (version 5.1) for data sets containing different numbers of sequences. The third objective was to describe a new consultative procedure designed to remove the confusion generated by discordant data sets and improve the reliability of the data. The procedure is called “consultative” because it involves the participation of a new observer who is responsible for consulting the existing observations and deciding on the definitive result.


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