Children's Agency in Contact Disputes: Navigating Protection, Participation and Alienation
ABSTRACT This article examines how children's agency is framed, constrained and sometimes co‐opted within contested child arrangement proceedings, particularly in the context of alienation and coercive behaviours. Drawing on qualitative interviews with legal professionals in Northern Ireland, the study explores how statutory interventions, though well ...
Mairead McCormack
wiley +1 more source
Actor-critic guided CDBN with GAN augmentation for robust facial emotion recognition. [PDF]
S A, S R JS, B R S, M K, Mukhopadhyay A.
europepmc +1 more source
ABSTRACT Safeguarding Family Group Conferencing (FGC) is a family‐led decision‐making process offered to some families in England as an alternative to an Initial Child Protection Conference when Children's Services have safeguarding concerns. A realist evaluation was conducted within three local authorities piloting this approach to build understanding
Bekkah Bernheim +5 more
wiley +1 more source
Gödelian embodied self-referential genomic intelligence: lessons for AI and AGI from the genomic blockchain. [PDF]
Markose S.
europepmc +1 more source
The principles of adversarial procedure and equality in international commercial arbitration
openaire +1 more source
Court Child Experts' Experiences in Assessing Parenting Cases Involving Parental Mental Illness
ABSTRACT This study explores the experiences of Court Child Experts (CCEs), professionals employed by the Australian family courts, in parenting matters involving parental mental illness. Using interpretative phenomenological analysis, interviews were conducted with five senior CCEs who reflected on their assessment practices, the challenges associated
Taegan A. Holford, Andrea E. Reupert
wiley +1 more source
A painting art rendering system by deep learning framework and machine translation. [PDF]
Wang S, Shahir S, Ismail MU.
europepmc +1 more source
Textile and colour defect detection using deep learning methods
Abstract Recent advances in deep learning (DL) have significantly enhanced the detection of textile and colour defects. This review focuses specifically on the application of DL‐based methods for defect detection in textile and coloration processes, with an emphasis on object detection and related computer vision (CV) tasks.
Hao Cui +2 more
wiley +1 more source
Trustworthy AI-IoT for Citizen-Centric Smart Cities: The IMTPS Framework for Intelligent Multimodal Crowd Sensing. [PDF]
Li W +9 more
europepmc +1 more source

