Results 201 to 210 of about 26,535 (309)

Rethinking Face‐to‐Face Interaction: Lessons from Studies of “Autistic Sociality”

Symbolic Interaction, EarlyView.
Face‐to‐face interaction is a foundational concept in microsociology. This article surveys the social experiences of autistic people, who are commonly known for having a strained relationship with interactions face to face. By interpretively reviewing and synthesizing the broader literature on “autistic sociality,” the article provides a nuanced ...
Lars E. F. Johannessen
wiley   +1 more source

Baptis Irvine\u27s Observations on Simon Bolivar, 1818-1819 [PDF]

, 1962
Pine, John C.
core   +1 more source

Proctoring in a Second Language: Exploring Fairness and Justice in Remote English Language Testing

TESOL Quarterly, EarlyView.
Abstract Remote proctoring is increasingly common in English language testing (Isbell & Kremmel, 2020), yet it often requires communication in the target language, unlike in‐person centers that may offer support in test‐takers' first language. Although prior studies have noted communication challenges in remote testing environments (Green & Lung, 2021;
Jieun Kim
wiley   +1 more source

Simulation et dissimulation chez Louis Marin

Les Dossiers du GRIHL, 2007
Jean-Pierre Cavaillé
doaj   +1 more source

Le „commynisme“ italien: Louis XI, héros de la contre-réforme [PDF]

, 1996
Maissen, Thomas
core   +1 more source

Bibliographie : Mensonge, tromperie, simulation et dissimulation

Les Dossiers du GRIHL, 2012
Jean-Pierre Cavaillé
doaj   +1 more source

The relationship between college students' Suicidal ideation and rejection sensitivity: a network analysis. [PDF]

BMC Public Health
He Y, Yang T, He C, Zhang Y, Yang H, Huang S, Liu J, Li X, Xu T, Wu S.   +9 more
europepmc   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

Sovereignty-as-a-service: How big tech companies co-opt and redefine digital sovereignty. [PDF]

Media Cult Soc
Grohmann R, Costa Barbosa A.
europepmc   +1 more source