Biomédicas
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751 to 760 of 2,512 Results
Adobe PDF - 205.0 KB - MD5: 8180aab2e386365a6d4c445792d8e624
This document presents a detailed synthesis of thematic evidence associated with each LDA-derived topic. It includes descriptive labels, key themes, and representative findings drawn from the corpus of 1,215 articles on motor behavior in autism. The file integrates topic modeling...
Tabular Data - 3.1 KB - 6 Variables, 24 Observations - UNF:6:0m28SROpdi/h3ln1ZNijZw==
This spreadsheet contains the results of the Latent Dirichlet Allocation (LDA) topic modeling analysis applied to the corpus. It includes the top keywords associated with each topic, topic identifiers, and their corresponding word distributions. The file provides a thematic overv...
Jupyter Notebook - 832.3 KB - MD5: 72d3c5ce110a0ccb4c1aa33eb0324079
This Jupyter Notebook contains the Python code used to preprocess the textual data and perform Latent Dirichlet Allocation (LDA) topic modeling on the corpus of articles. It includes steps such as text cleaning, vectorization, model training, topic extraction, and visualization....
Adobe PDF - 67.6 KB - MD5: a5aa2f9fa638753cad3c574d46f78407
This document synthesizes the key findings from clustered topics identified through hierarchical analysis of LDA results. Each cluster represents a broader thematic domain—such as motor interventions, neurofunctional mechanisms, learning processes, and assistive technologies—and...
Tabular Data - 95.4 KB - 11 Variables, 1200 Observations - UNF:6:c9dFKE/X8hgr07whwU4glQ==
This dataset contains raw data collected during a motor learning experiment investigating the effects of internal and external focus of attention on balance task performance in autistic children. The task was performed on a stability platform, and performance was measured across...
RAR Archive - 16.6 GB - MD5: 9ae8c89e412fdc432e00cbeb5a82d757
Compressed Archive - 4.8 GB - MD5: 4f49c2cce8745b5bf7d27c8c7eb22c82
RAR Archive - 3.4 GB - MD5: 379631792f24830dfc36de89c962610f
Compressed Archive - 1.9 GB - MD5: c5f09c6454a825cb6168dd5035ee7afb
Compressed Archive - 205.4 MB - MD5: b0b63d6feeb49046661058db6d9fb3c7
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