1 to 10 of 21 Results
Dec 26, 2024
Jin Li, Ying Luo, Youxing Li, Yufeng Zhao, Yeli Zhong, Rentong Hu, Bin Zhong, Yanli Li, Shuang Zhao, 2024, "Challenges and strategies for cultivating young teachers in pathophysiology departments at Chinese medical colleges: a narrative review", https://doi.org/10.7910/DVN/WF05P6, Harvard Dataverse, V1
Dataset 1. Data file used to create the 4 figures in Excel format |
Dec 26, 2024 -
Challenges and strategies for cultivating young teachers in pathophysiology departments at Chinese medical colleges: a narrative review
MS Excel Spreadsheet - 26.1 KB -
MD5: 14d9f90cefe7c9c0d2f943fa4b393992
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Oct 24, 2024
Krittiya Rakchat, Saranan Eadcharoen, Amarawan Pentrakan, 2024, "Prevalence and associated factors of ADHD -like symptoms among pharmacy students at Prince of Songkla University, Thailand in 2024: a cross-sectional study", https://doi.org/10.7910/DVN/BRQQDV, Harvard Dataverse, V1
Dataset 1 . Raw response data from 526 participants in Thailand |
MS Excel Spreadsheet - 54.9 KB -
MD5: 308fbde1e0361f6abcb8d41d9ffaf96d
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Jul 24, 2024
Maria Florencia Deslivia, Hee-June Kim, Sung Hun Kim, Suk-Joong Lee, 2024, "Straightforward, safe, and efficient interlocking screw insertion during intramedullary nailing using a Steinmann pin and hammer: a comparative study", https://doi.org/10.7910/DVN/ND7IIK, Harvard Dataverse, V1
Dataset 1. Results of the comparison between new and conventional methods in terms of time savings, radiation dose exposure to the Sawbones, and number of attempts |
MS Excel Spreadsheet - 31.0 KB -
MD5: 38873aac9fda6ba2d8b538eb7a473ebc
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Jul 11, 2024
Somi Jeong, So Hyun Ahn, Hyeon Jong Yang, Seung Jung Kim, Yuhyeon Chu, Jihye Gwak, Naeun Im, Seoyeong Oh, Seunghyun Kim, Hye Soo Yun, Eun Hee Ha, 2024, "Motivations, positive experiences, and concept changes of medical students in Korea after participating in an experiential entrepreneurship course: a qualitative study", https://doi.org/10.7910/DVN/Z0CQFZ, Harvard Dataverse, V1
Dataset 1. Verbatim obtained from six participants |
Adobe PDF - 3.2 MB -
MD5: 7d37c35de7f9bba957659729d7bfb542
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May 3, 2024
Dong Hyeok Choi, So Hyun Ahn, Rena Lee, 2024, "An accurate pediatric bone age prediction model using deep learning and contrast conversion", https://doi.org/10.7910/DVN/NMUR8X, Harvard Dataverse, V1
Dataset 1. 2017 RSNA AI Pediatric Bone Age Challenge. Available from: https://www.rsna.org/rsnai/ai-image-challenge/RSNA-Pediatric-Bone-Age-Challenge-2017 Dataset 2. The datasets generated during and/or analyzed during the current study |
May 3, 2024 -
An accurate pediatric bone age prediction model using deep learning and contrast conversion
Jupyter Notebook - 45.9 MB -
MD5: 4ca8b15f140a777241bb8ebc786c7344
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