objectives: the present study was aimed to determine the effect of psychological immunization on pessimistic attribution in female students with dyslexia. methods: the study was an experimental one, in which 60 female students with dyslexia were selected randomly from learning disabilities centers in isfahan. subjects  were  assigned to experimental and control groups (15 individuals in each gr...

Introduction: Previous studies have reported contradicting results about the effect of medication therapy on attribution bias and jumping to conclusion (JTC) bias in schizophrenic patients. This study aims at analyzing the effect of medication on attribution bias and JTC bias in schizophrenic patients. Methods: This study is an ex post facto and casual-comparative research. 28 people includi...

© 2022 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses). CORRESPONDING AUTHOR: Friederike E. L. Otto, [email protected] A supplement to article is available online (10.1175/BAMS-D-21-0267.2)

Our society is overwhelmed with an ever growing amount of information. Effective management of this information requires novel ways to filter and select the most relevant pieces of information. Some of this information can be associated with the source or sources expressing it. Sources and their relation to what they express affect information and whether we perceive it as relevant, biased or t...

I occur in our lives, we seek ways to understand them. Sometimes our explanations are evidence-based and valid. Sometimes they are superstitious or spiritual or just plain wrong. The model of cognitive therapy focuses on the meanings people apply to events and situations that lead to distress. Many of these meanings take the form of “attributions” or explanations. When a patient consults a doct...

We describe a technique for attributing parts of a written text to a set of unknown authors. Nothing is assumed to be known a priori about the writing styles of potential authors. We use multiple independent clusterings of an input text to identify parts that are similar and dissimilar to one another. We describe algorithms necessary to combine the multiple clusterings into a meaningful output....

In this paper we present an approach to automatic authorship attribution dealing with real-world (or unrestricted) text. Our method is based on the computational analysis of the input text using a text-processing tool. Besides the style markers relevant to the output of this tool we also use analysis-dependent style markers, that is, measures that represent the way in which the text has been pr...