The ability to identify authors of computer programs based on their coding style is a direct threat to the privacy and anonymity of programmers. Previous work has examined attribution of authors from both source code and compiled binaries, and found that while source code can be attributed with very high accuracy, the attribution of executable binary appears to be much more difficult. Many pote...

2016 ii This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. A person's writing style is uniquely quantifiable and can serve reliably as a biometric. A writer who wishes to remain anonymous can use a number of privacy technologies but can still be identified simply by the words they choose to use — how frequently they use common words li...

OBJECTIVE Somatic causal illness attributions are being considered as potential positive criteria for somatoform disorders (SFDs) in DSM-V. The aim of this study was to investigate whether patients diagnosed with SFDs tend towards a predominantly somatic attribution style. METHODS We compared the causal illness attributions of 48 SFD and 149 non-somatoform disorder patients, in a sample of pa...

Anxiety and depression are the most commonly reported mental health problems amongst Australian children and adolescents. The Aussie Optimism: Program-Positive Thinking Skills (AOP-PTS) is a universal intervention program based on cognitive and behavioral strategies and aimed to prevent anxiety and depression in the middle primary school children aged 9-10 years old. 370 students randomly assig...

This paper aims to gather all information about the diptych of Mater Dolorosa and Christ Crowned with Thorns, which until 2023 stayed in Provincial Museum Pontevedra (Museo de Pontevedra) Spain. The research addresses two aspects diptych: controversy its attribution a circle Albrecht Bouts or his follower diptych’s arrival at Pontevedra. study explains that this former attributions cannot be su...

Identifying the author of a book or document is an interesting research topic having numerous real-life applications. A number of algorithms have been proposed for the automatic authorship attribution of texts. However, it remains an important challenge to find distinct and quantifiable features for accurately identifying or narrowing the range of likely authors of a text. In this paper we prop...

English. The inclusion of semantic features in the stylometric analysis of literary texts appears to be poorly investigated. In this work, we experiment with the application of Distributional Semantics to a corpus of Italian literature to test if words distribution can convey stylistic cues. To verify our hypothesis, we have set up an Authorship Attribution experiment. Indeed, the results we ha...

Stylometry refers to the statistical analysis of literary style of authors based on the characteristics of expression in their writings. We propose an approach to stylometry based on a Bayesian Dirichlet process mixture model using multinomial word frequency data. The parameters of the multinomial distribution of word frequency data are the “word prints” of the author. Our approach is based on ...

The aim of this present study is to examine the efficacy of attribution retraining group therapy (ARGT) and to compare the responses of outpatients with major depression disorder (MDD), generalized anxiety disorder (GAD) and obsessive-compulsive disorder (OCD). We carried out a prospective uncontrolled intervention study with a 8-weeks of ARGT on sixty three outpatients with MDD, GAD or OCD. Ha...

Stylometry is the study of writing style based on linguistic features and is typically applied to authorship attribution problems. In this work, we apply stylometry to a novel dataset of multi-authored documents collected from Wikia using both relaxed classification with a support vector machine (SVM) and multi-label classification techniques. We define five possible scenarios and show that one...