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Akademický článek
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Autor:
Yuan, Mingze, Bao, Peng, Yuan, Jiajia, Shen, Yunhao, Chen, Zifan, Xie, Yi, Zhao, Jie, Chen, Yang, Zhang, Li, Shen, Lin, Dong, Bin
With the rapid development of artificial intelligence, large language models (LLMs) have shown promising capabilities in mimicking human-level language comprehension and reasoning. This has sparked significant interest in applying LLMs to enhance var
Externí odkaz:
http://arxiv.org/abs/2311.01918
Autor:
Yuan-jie Liu, Jie-pin Li, Mei Han, Jing-xiao Li, Qian-wen Ye, Si-tian Lin, Jin-yong Zhou, Shen-lin Liu, Xi Zou
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-29 (2024)
Abstract The importance of the immune microenvironment in poorly cohesive carcinoma (PCC) has been highlighted due to its limited response rate to conventional therapy and emerging treatment resistance. A combination of clinical cohorts, bioinformati
Externí odkaz:
https://doaj.org/article/8c99cec307fb41e49ae66c8229c78ae7
Publikováno v:
World Journal of Surgical Oncology, Vol 22, Iss 1, Pp 1-8 (2024)
Abstract Background Multi-parametric magnetic resonance imaging (mpMRI) is a diagnostic tool used for screening, localizing, and staging prostate cancer. Patients with Prostate Imaging Reporting and Data System (PI-RADS) score of 1 and 2 are consider
Externí odkaz:
https://doaj.org/article/de99c1eee80548fe86a7e6168930f944
Autor:
Qian Qu, Shu-Peng Li, Qi Dong, Hong-Liang Du, Zhi-Hua Wang, Yi-Mu Ma, Xiao-Pei Gong, Yi-Qing Ding, Jing Zhou, Jia-Yan Chen, Meng-Jie Liu, Wei-Jie Lv, Shi-Ning Guo
Publikováno v:
Phytomedicine. 110:154645
Autor:
Shen Lin, Jingbo Cui
Publikováno v:
China Economic Quarterly International, Vol 4, Iss 1, Pp 1-12 (2024)
Using the Chinese Agriculture Technology Demonstration Center (ATDC) in Africa as a quasi-natural experiment, we examine the causal impacts of China’s aid on crop production in Africa. The data pertain to African country-by-crop panel data from 200
Externí odkaz:
https://doaj.org/article/778006c47d2b414f92e4cdb2e83d7480
Publikováno v:
ACS Omega, Vol 9, Iss 9, Pp 10621-10627 (2024)
Externí odkaz:
https://doaj.org/article/c3779ea8b64b4ef3b406f94475c0c7da
Autor:
Chang Liu, Yan Zhao, Zhe Zheng, Xuexin Yu, Shen Lin, Xiaoting Su, Minghui Kung, Juntong Zeng, Mengnan Shi, Runchen Sun, Shangyuan Yuan, Xiaocong Lian, Xiangyang Ji
Publikováno v:
BMJ Health & Care Informatics, Vol 31, Iss 1 (2024)
Background Current approaches for initial coronary artery disease (CAD) assessment rely on pretest probability (PTP) based on risk factors and presentations, with limited performance. Infrared thermography (IRT), a non-contact technology that detects
Externí odkaz:
https://doaj.org/article/af6f2c40d0714e4ebfd3d4f027c4b761
Autor:
SHEN, LIN (AUTHOR) lin.shen@insead.edu, ZOU, JUNYUAN (AUTHOR) junyuan.zou@insead.edu
Publikováno v:
Journal of Finance (John Wiley & Sons, Inc.). Feb2024, Vol. 79 Issue 1, p357-412. 56p.
Publikováno v:
Frontiers in Chemistry. 5/6/2024, p1-25. 25p.