Cognitive perspective-taking research has primarily been conducted under the rubric of theory mind (ToM), with core skill believed to involve correct attribution mental states oneself and others as a means explaining predicting behavior. Relational frame (RFT) provided behavioral account performances on true false belief protocols by appealing three (deictic) relations. The current sought inves...

UNDERSTANDING CARBONATE AND SERPENTINE ON MARS. B.L. Ehlmann, P.B. Kelemen, P. Pinet, J.F. Mustard, P. Launeau, G. Ceuleneer. Geological & Planetary Sciences, California Institute of Technology, Jet Propulsion Laboratory, Lamont-Doherty Earth Observatory, Columbia University, IRAP/CNRS, OMP, Toulouse, Geological Sciences, Brown University, Laboratoire de Planétologie et Géodynamique, UMR-CNRS, ...

Lanza, O. Forni, N. Mangold, M. Nachon, S. M. Clegg, A. Yen, S. Maurice, R. C. Wiens, NASA Ames Research Center, Moffett Field CA USA, Blue Marble Space Institute of Science, Seattle WA USA, Chevron Energy Technology Company, Houston TX USA,Los Alamos National Laboratory, Los Alamos, NM USA, Univ. Toulouse & CNRS, IRAP, Toulouse, France, Univ. Nantes & CNRS, Nantes, France, JPL Pasadena CA USA

targeted extension for heterogeneous farming systems is a challenge in developing countries. farm type identification and characterization based on estimates of income from different farm components allows simplifying diversity in farming systems. use of multivariate statistical techniques, such as principal component analysis (pca) and cluster analysis (ca), help in such farm typology delineat...

Following recent calls to examine the replicability of behavioral research, I examined two key determinants replicability, namely sample sizes and statistical power, in research using Implicit Relational Assessment Procedure (IRAP). A systematic review was used gather all published studies employing IRAP extract their designs sizes. The use Null Hypothesis Significance Testing found be nearly u...

We present the iRap (interest-based RDF update propagation) framework that propagates only relevant parts of updates published by a source dataset to a local replica excerpt of the source dataset. This interest-based update propagation enables remote applications to ‘subscribe’ to relevant datasets and consistently reflect the necessary changes locally without the need to frequently replace the...