@article{WieserFlaischPauli2014,
  author    = {Wieser, Matthias J. and Flaisch, Tobias and Pauli, Paul},
  title     = {Raised Middle-Finger: Electrocortical Correlates of Social Conditioning with Nonverbal Affective Gestures},
  doi       = {10.1371/journal.pone.0102937},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-113061},
  year      = {2014},
  abstract  = {Humans form impressions of others by associating persons (faces) with negative or positive social outcomes. This learning process has been referred to as social conditioning. In everyday life, affective nonverbal gestures may constitute important social signals cueing threat or safety, which therefore may support aforementioned learning processes. In conventional aversive conditioning, studies using electroencephalography to investigate visuocortical processing of visual stimuli paired with danger cues such as aversive noise have demonstrated facilitated processing and enhanced sensory gain in visual cortex. The present study aimed at extending this line of research to the field of social conditioning by pairing neutral face stimuli with affective nonverbal gestures. To this end, electro-cortical processing of faces serving as different conditioned stimuli was investigated in a differential social conditioning paradigm. Behavioral ratings and visually evoked steady-state potentials (ssVEP) were recorded in twenty healthy human participants, who underwent a differential conditioning procedure in which three neutral faces were paired with pictures of negative (raised middle finger), neutral (pointing), or positive (thumbs-up) gestures. As expected, faces associated with the aversive hand gesture (raised middle finger) elicited larger ssVEP amplitudes during conditioning. Moreover, theses faces were rated as to be more arousing and unpleasant. These results suggest that cortical engagement in response to faces aversively conditioned with nonverbal gestures is facilitated in order to establish persistent vigilance for social threat-related cues. This form of social conditioning allows to establish a predictive relationship between social stimuli and motivationally relevant outcomes.},
  language  = {en}
}
@incollection{LazebnaPrykhodko2022,
  author    = {Lazebna, Nataliia and Prykhodko, Anatoliy},
  title     = {English-language Digital Discourse of Human-Machine Communication},
  series = {Studies in Modern English},
  booktitle = {Studies in Modern English},
  editor    = {Lazebna, Nataliia and Kumar, Dinesh},
  publisher = {W{\"u}rzburg University Press},
  address   = {W{\"u}rzburg},
  doi       = {10.25972/WUP-978-3-95826-199-0-41},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-296468},
  publisher      = {W{\"u}rzburg University Press},
  pages     = {41-51},
  year      = {2022},
  abstract  = {The paper focuses on digital discourse. This is a speech-intellectual product of innovative information technologies, a phenomenon, which needs further interdisciplinary and linguistic interpretation. The English-language digital discourse shows how linguistic verbal communication is mediated by digits and to what extent these Signum and Verbum unity reigns over the world. The paper analyzes the ways and methods of integrated and differential use of verbal and non-verbal sign systems in the English language as compared to programming languages, considering the types of synchronous changes in the socio-cultural dimension of the sign. This research describes the processes of signs transformation during their functioning in programming languages and in the English language, common and distinctive features in the arrangement of grammatical, lexical-semantic, and graphic means of (natural) English and (artificial) programming languages in their projection on different modes of communication in the system Human ↔ Machine. Programming languages are constituted by verbal means of the English language with additional use of its own semiotic resources, which testifies to their integrative linguistic and mathematical nature. The specific representation of ElDD conveys its reciprocal nature when the English language using its own tools combines them with the elements of the programming languages thus creating an effective toolkit for self-process},
  language  = {en}
}