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Purpose: The aim of this study was to develop and test a new classification scale to describe looking behaviours (gaze fixations and gaze shifts) in relation to eye-pointing.
Methods: The Eye-pointing Classification Scale (EpCS) was developed and tested following established procedures for the construction and evaluation of equivalent scales, and involved 2 phases: Drawing on research literature, Phase 1 involved initial drafting of the scale through a series of multi-disciplinary group discussions; evaluation of the scale through a survey procedure, and subsequent expert group evaluation. Phase 2, was an examination of scale reliability and relationships between child characteristics and level of EpCS classification.
Results: In Phase 1, an initial draft of the scale was developed and then evaluated by 52 participants in 10 countries, leading to its refinement. Subsequent expert evaluation of content, style and structure indicated that no further refinement was required. In Phase 2, the scale achieved excellent levels of reliability in clinical testing. A significant relationship was identified between level of child motor ability and EpCS classification, and level of child language understanding and EpCS classification.Implications for rehabilitationNon-speaking children with severe bilateral cerebral palsy who have limited upper limb movement may communicate by using controlled looking behaviours to point to objects and people, referred to as eye-pointing.However, there is little consensus as to which looking behaviours represent eye-pointing and which do not.The Eye-pointing Classification Scale (EpCS) was developed to describe looking behaviours related to eye-pointing in this population of childrenThe EpCS provides a new robust tool for clinical management and research with children with cerebral palsy.
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http://dx.doi.org/10.1080/09638288.2020.1800834 | DOI Listing |
Stroke
September 2025
Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China (H.Z., K.H., Q.G.).
Background: Poststroke cognitive impairment (PSCI) affects 30% to 50% of stroke survivors, severely impacting functional outcomes and quality of life. This study uses functional near-infrared spectroscopy (fNIRS) to assess task-evoked brain activation and its potential for stratifying the severity in patients with PSCI.
Method: A cross-sectional study was conducted at Nanchong Central Hospital between June 2023 and April 2024.
iScience
September 2025
Energy Conversion Research Center, Electrical Materials Research Division, Korea Electrotechnology Research Institute, Changwon, Gyeongsangnam-do 51543, Republic of Korea.
Indoor photovoltaics (IPVs) are small and not optimized for versatile environments, making them environmentally sensitive. To expand the application of energy-harvesting photovoltaics, overcoming the current problems and mismatch loss is important. In this study, we found that IPVs are sensitive to changes in current density under low illuminance, and we introduced a protocol to reveal the modules resulting in the smallest standard deviation using current maps.
View Article and Find Full Text PDFProc Mach Learn Res
November 2024
Pretraining plays a pivotal role in acquiring generalized knowledge from large-scale data, achieving remarkable successes as evidenced by large models in CV and NLP. However, progress in the graph domain remains limited due to fundamental challenges represented by feature heterogeneity and structural heterogeneity. Recent efforts have been made to address feature heterogeneity via Large Language Models (LLMs) on text-attributed graphs (TAGs) by generating fixed-length text representations as node features.
View Article and Find Full Text PDFInt J Eat Disord
September 2025
Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, Montpellier, France.
Objective: This study compared overvaluation of weight and shape (OWS), drive for thinness (DT), and their combination (OWS-DT) as alternative severity classifications for anorexia nervosa (AN) to the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) severity classification.
Method: 312 AN treatment-seeking outpatients (mean age = 26.8, SD = 10.
Comput Methods Programs Biomed
August 2025
Zhengzhou University, School of Computer and Artificial Intelligence, Zhengzhou, 450001, China. Electronic address:
Background And Objective: The early detection of breast cancer plays a critical role in improving survival rates and facilitating precise medical interventions. Therefore, the automated identification of breast abnormalities becomes paramount, significantly enhancing the prospects of successful treatment outcomes. To address this imperative, our research leverages multiple modalities such as MRI, CT, and mammography to detect and screen for breast cancer.
View Article and Find Full Text PDF