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51 to 60 of 652 Results
20210729_HSP_YLS_pilot_feedback.docx
Jan 3, 2024 - MOSH: An Online Tool for Real-Time Monitoring of Student Engagement
MS Word - 24.8 KB - MD5: d51fca6b7ef6b791c8fb466a5064e4a6
20220428_HSP_SPost_surveydata.csv
Jan 3, 2024 - MOSH: An Online Tool for Real-Time Monitoring of Student Engagement
Comma Separated Values - 47.8 KB - MD5: 2ffb6783278df3fd84ecb32da628dbc8
Relaxin treatment of liver fibrosis (SAF scoring)
Dec 1, 2023 - Tan Nguan Soon
Tan, Nguan Soon, 2023, "Relaxin treatment of liver fibrosis (SAF scoring)", https://doi.org/10.21979/N9/ZEHNLG, DR-NTU (Data), V1
Final research findings of the effect of relaxin on experimental mouse model of liver fibrosis.
Control and Lidpad Livers.pdf
Dec 1, 2023 - Relaxin treatment of liver fibrosis (SAF scoring)
Adobe PDF - 23.3 MB - MD5: f30af70240477ec820b0ee866f70f75c
Relaxin treatment of liver fibrosis.pdf
Dec 1, 2023 - Relaxin treatment of liver fibrosis (SAF scoring)
Adobe PDF - 1.3 MB - MD5: 9f7cd3969f182ead13b1c8f741c0f2ce
Treatments Livers.pdf
Dec 1, 2023 - Relaxin treatment of liver fibrosis (SAF scoring)
Adobe PDF - 30.2 MB - MD5: 474db921cde5d7227b275c9fef164d2c
Efficacy and feasibility of a Human-AI sleep coaching model
Jul 20, 2023 - Josip Car
Car, Josip; Bojic, Iva; Liu, Jintana, 2023, "Efficacy and feasibility of a Human-AI sleep coaching model", https://doi.org/10.21979/N9/BRIOZ0, DR-NTU (Data), V1, UNF:6:Zj4KcMMGagFUCLCLMezYqg== [fileUNF]
This repository contains data and resources related to the study conducted to evaluate the efficacy and feasibility of a human-AI sleep coaching model, test the performance of the QA system, and build an extensive training dataset and perform text mining of recording conversation...
10.json
Jul 20, 2023 - Efficacy and feasibility of a Human-AI sleep coaching model
JSON - 96.6 KB - MD5: a80c74e62b18bdd45d6ef125812beeed
11.json
Jul 20, 2023 - Efficacy and feasibility of a Human-AI sleep coaching model
JSON - 81.0 KB - MD5: 5b2f90a11a6e9fe57698e581dcf0a023
12.json
Jul 20, 2023 - Efficacy and feasibility of a Human-AI sleep coaching model
JSON - 110.3 KB - MD5: 340fed001a43e3163c20b470a437279f
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