561 to 570 of 2,325 Results
Jun 4, 2025 -
Motor behavior and autism: thematic mapping dataset
Adobe PDF - 68.2 KB -
MD5: d98a54c1ca846f4ed4169b6f5196f8dd
This file presents the PRISMA 2020 flow diagram summarizing the study selection process for the scoping review. It includes details on the number of records identified, screened, assessed for eligibility, and included in the final dataset. The flowchart documents database sources... |
Jun 4, 2025 -
Motor behavior and autism: thematic mapping dataset
HTML - 627.2 KB -
MD5: ad93ea035b28308ab6abaebe8189e2f3
This interactive HTML file presents a visual representation of the Latent Dirichlet Allocation (LDA) topic modeling results generated using PyLDAvis. It enables dynamic exploration of the topic space, showing the distribution, inter-topic distances, and the top terms associated w... |
Jun 4, 2025 -
Motor behavior and autism: thematic mapping dataset
Tabular Data - 299.4 KB - 7 Variables, 1215 Observations - UNF:6:thgpjdFwnX91z3XBo9w1Uw==
This spreadsheet lists all 1,215 articles included in the corpus used for topic modeling. Each row corresponds to an article and includes key metadata: a unique article number, the dominant LDA-assigned topic, article title, authorship, year of publication, journal name, and DOI... |
Jun 4, 2025 -
Motor behavior and autism: thematic mapping dataset
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... |
Jun 4, 2025 -
Motor behavior and autism: thematic mapping dataset
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... |
Jun 4, 2025 -
Motor behavior and autism: thematic mapping dataset
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.... |
Jun 4, 2025 -
Motor behavior and autism: thematic mapping dataset
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... |
May 30, 2025 -
High content analysis of colloidal silver in Huh-7 cells
RAR Archive - 16.6 GB -
MD5: 9ae8c89e412fdc432e00cbeb5a82d757
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May 30, 2025 -
High content analysis of colloidal silver in Huh-7 cells
Compressed Archive - 4.8 GB -
MD5: 4f49c2cce8745b5bf7d27c8c7eb22c82
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