Statistical modeling of presence-only data has attracted much recent attention in the ecological literature, leading to a proliferation of methods, including the inhomogeneous Poisson process (IPP) model, maximum entropy (Maxent) modeling of species distributions and logistic regression models. Several recent articles have shown the close relationships between these methods. We explain why the ...

Multi–particle form factors of local operators in integrable models in two dimensions seem to have the property that they factorize when one subset of the particles in the external states are boosted by a large rapidity with respect to the others. This remarkable property, which goes under the name of form factor clustering, was first observed by Smirnov in the O(3) non–linear σ–model and has s...

Latent or unobserved phenomena pose a significant difficulty in data analysis as they induce complicated and confounding dependencies among a collection of observed variables. Factor analysis is a prominent multivariate statistical modeling approach that addresses this challenge by identifying the effects of (a small number of) latent variables on a set of observed variables. However, the laten...

Psychiatric researchers typically assume that the modelling of psychiatric symptoms is not influenced by psychiatric categories; symptoms are modelled and then grouped into a psychiatric category. I highlight this primarily through analysing research domain criteria (RDoC). RDoC's importance makes it worth scrutinizing, and this assessment also serves as a case study with relevance for other ar...

the rural tourism as the most popular forms of tourism can be regarded as a policy to reduce the problems of rural areas. rural tourism, is a risk factor for the development of rural areas, including most the effects of its population stable, solve unemployment, reduced migration and more. this study aimed to detection effects of tourism in myshkhas rural center development in ilam province. a ...

The aim of this paper is to propose a systematic classification of emotions which can also characterize their nature. The first challenge we address is the submission of clear criteria for a theory of emotions that determinewhichmental phenomena are emotions and which are not. We suggest that emotions as a subclass of mental states are determined by their functional roles. The second and main c...

We consider the use of intervention data for eliminating the underdetermination problems in statistical modelling, and for guiding extensions of the statistical models. The leading example is factor analysis, a major statistical tool in the social sciences. We first relate indeterminacy in factor analysis to the problem of underdetermination. Then we draw a parallel between factor analysis mode...

We consider the use of intervention data for eliminating the underdetermination in statistical modelling, and for guiding extensions of the statistical models. The leading example is factor analysis, a major statistical tool in the social sciences. We first relate indeterminacy in factor analysis to the problem of underdetermination. Then we draw a parallel between factor analysis models and Ba...

designing breeding programs for winter rapeseed (brassica napus l.) cultivars with improved seed and oil yields requires information about the genetic variability of traits. in this study, 28 winter rapeseed cultivars were evaluated for genetic variation and relationships between 11 agro-morphological characters during 2010 and 2011. cultivars and cultivar × year interaction showed significant ...

this study concerns determining the factors that may influence the communication skill of those university teachers involved in the field of agricultural sciences in iran. accordingly, based on a cross-sectional survey method, a conceptual model of communication skill has been devised through reviewing the related literature. next, the model was revised by the expert panel of the study into a s...