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821 to 830 of 2,228 Results
May 16, 2025
Bansaghi Szava Julia, 2025, "Replication data for: Improving Hand Hygiene in Cruise Ship: an Intervention Study", https://doi.org/10.23642/USN.29064080, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: Extended data for the article with the same title. Supplementary Table 1: Description of the sampled surfaces and sample collection methods. Supplementary Table 2: Hand Hygiene Questionnaire
Adobe PDF - 637.5 KB - MD5: 48c3c9f930f1ccef2fb7fa6e626f2446
Suppl 1.pdf
Adobe PDF - 726.8 KB - MD5: f5a9efbbc3c730f8998048715bcad1a2
Suppl 2.pdf
Mar 20, 2025
Barahmand Zahir, 2025, "List and lexical-semantic analysis of 600 predefined keywords for rule-based NLP to extract themes within and beyond R-strategies in circular economy definitions", https://doi.org/10.23642/USN.28615532, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: Thematic identification was applied in this study through a combination of deductive and abductive reasoning to ensure both structured categorization and flexibility in capturing emerging concepts. The process began with a deductive approach, selecting initial keywords for each circular economy strategy based on the...
MS Excel Spreadsheet - 64.7 KB - MD5: 76f3774a90a7e0f7a96846016c1675f4
List and lexical-semantic analysis of 600 prededefined keywords.xlsx
Mar 20, 2025
Barahmand Zahir, 2025, "Dataset of 500 circular economy definitions with extracted themes within and beyond R-strategies using rule-based NLP", https://doi.org/10.23642/USN.28615868, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: This dataset comprises 500 peer-reviewed circular economy (CE) definitions, annotated with extracted themes within and beyond the R-strategies (R0–R9) using a rule-based Natural Language Processing (NLP) model. Each definition is accompanied by its publication year and reference source, enabling temporal analysis of...
Comma Separated Values - 308.2 KB - MD5: 28a54775d3a7b164498147dd61a541a1
500_CE_definitions_references_and_results_from_rele-based_NLP.csv
Plain Text - 4.9 KB - MD5: 936b413deb9ec3b7d36ae1d48080f120
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