AIMC Topic: Comprehension
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Using Self-Organizing Neural Network Map Combined with Ward's Clustering Algorithm for Visualization of Students' Cognitive Structural Models about Aliveness Concept.
Computational intelligence and neuroscience
Dec 27, 2015
We propose an approach to clustering and visualization of students' cognitive structural models. We use the self-organizing map (SOM) combined with Ward's clustering to conduct cluster analysis. In the study carried out on 100 subjects, a conceptual ...
A connectionist model of the retreat from verb argument structure overgeneralization.
Journal of child language
Nov 16, 2015
A central question in language acquisition is how children build linguistic representations that allow them to generalize verbs from one construction to another (e.g., The boy gave a present to the girl → The boy gave the girl a present), whilst appr...
Understanding Emergent Dynamics: Using a Collective Activity Coordinate of a Neural Network to Recognize Time-Varying Patterns.
Neural computation
Aug 27, 2015
In higher animals, complex and robust behaviors are produced by the microscopic details of large structured ensembles of neurons. I describe how the emergent computational dynamics of a biologically based neural network generates a robust natural sol...
Understanding Cognitive Performance During Robot-Assisted Surgery.
Urology
Aug 5, 2015
OBJECTIVE: To understand cognitive function of an expert surgeon in various surgical scenarios while performing robot-assisted surgery.
Physics instruction induces changes in neural knowledge representation during successive stages of learning.
NeuroImage
Feb 7, 2015
Incremental instruction on the workings of a set of mechanical systems induced a progression of changes in the neural representations of the systems. The neural representations of four mechanical systems were assessed before, during, and after three ...
Understanding migraine using dynamic network biomarkers.
Cephalalgia : an international journal of headache
Sep 16, 2014
BACKGROUND: Mathematical modeling approaches are becoming ever more established in clinical neuroscience. They provide insight that is key to understanding complex interactions of network phenomena, in general, and interactions within the migraine-ge...
Development of Methods to Assess Readability in Health and Medical Information: A Scoping Review.
Studies in health technology and informatics
Aug 7, 2025
This study aimed to extract characteristics of studies involving development of readability measures for health and medical information (HMI) to explore the common themes (strategies) within such developments. Four databases were searched following P...
Readability Assessment and Comparison of Large Language Model-Generated Summaries of Trial Descriptions on ClinicalTrials.gov.
Studies in health technology and informatics
Aug 7, 2025
This study evaluated the readability of ClinicalTrials.gov trial information using traditional readability measures (TRMs) and compared it to summaries generated by large language models (LLMs), specifically ChatGPT and a fine-tuned BART-Large-CNN (F...
Promoting patient health literacy in burn care through artificial intelligence language learning models: A study of text analysis and simplification.
Burns : journal of the International Society for Burn Injuries
Aug 1, 2025
Health literacy is essential in patient care, especially in burn treatment, where understanding care information can significantly influence recovery outcomes. Despite national guidelines recommending that patient education materials be written at a ...
Comparison of quality, empathy and readability of physician responses versus chatbot responses to common cerebrovascular neurosurgical questions on a social media platform.
Clinical neurology and neurosurgery
Aug 1, 2025
BACKGROUND: Social media platforms are utilized by patients prior to scheduling formal consultations and also serve as a means of pursuing second opinions. Cerebrovascular pathologies require regular surveillance and specialized care. In recent years...
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