Results 81 to 90 of about 282 (191)
A Review of Automatic Measurement of Learning Engagement Using Body Clues
ABSTRACT Learning engagement is an overarching multifaceted construct that includes behavioral, cognitive, and emotional dimensions. The static subjective measurements may lead to inaccurate results. Considering the authenticity and reliability of body signals, this study investigated the types of body cues used in measuring learning engagement and ...
Qi Xu +5 more
wiley +1 more source
ABSTRACT This article consolidates and operationalises SYNAPSE, a human‐centered model that structures learning in four interrelated phases—Sensory Input, Network Adaptation, Participation, and Storage & Embodiment—for education in the age of artificial intelligence (AI).
Sarah Chardonnens, Srushti Satoskar
wiley +1 more source
Artificial structures for human‐machine interfaces with closed‐loop interaction
Artificial structures bridge sensing and feedback in closed‐loop human‐machine interfaces by providing geometry‐enabled mechanical and functional programmability. This review maps the role of artificial structures in diverse sensing modalities and feedback strategies, and illustrates their integration into closed‐loop interaction systems, highlighting ...
Taiqi Hu +4 more
wiley +1 more source
Artificial intelligence and liquidation: Reality, destiny and fantasy
Abstract Artificial intelligence (AI) is increasingly reshaping the administration of corporate liquidation. Beyond its established role in financial prediction and data analytics, AI is now assisting insolvency practitioners in identifying the onset of financial distress, managing creditor communications, tracing and valuing assets and enhancing ...
Kai Zhang, Jingchen Zhao
wiley +1 more source
AHormoneDB is a no‐code platform that combines DOID‐standardized hormone–disease associations, regulatory prediction, and retrieval‐augmented generation‐based querying. In acromegaly, it nominated PTPN1 as a previously underappreciated candidate, demonstrating its capacity to accelerate mechanistic discovery.
Xingxing Huang +6 more
wiley +1 more source
AI‐driven bioinformatics is best viewed as an emerging model‐centered discovery framework in which learned representations increasingly support prediction, intervention design, and workflow orchestration, while classical pipelines remain essential for validation and reproducibility.
Songming Chen +10 more
wiley +1 more source
ABSTRACT Introduction Advanced Theory of Mind (ToM) refers to the ability to quickly appreciate the mental states of an interlocutor, depending on the conversational context, and to rapidly adjust one's own mental representations in response to verbal feedback from that interlocutor. Although these abilities continue to develop during adolescence, they
Clara Grégoire +2 more
wiley +1 more source
ABSTRACT This interpretative phenomenological study examined the lived experiences of nonreligious and nonspiritual (NRNS) individuals seeking counseling while living in the Bible Belt of the United States. Semistructured interviews were conducted with adults who self‐identified as NRNS and resided in the Bible Belt of the United States.
Travis McKie‐Voerste
wiley +1 more source
ABSTRACT AVATAR therapy (AT) works by facilitating a ‘face‐to‐face’ dialog between the person and a digital representation (avatar) of their persecutory voice. Although there is cumulative evidence of this way of working with voices, enhancing the therapeutic focus on improved confidence and a sense of control of the voices in social situations ...
Mar Rus‐Calafell +10 more
wiley +1 more source

