Zobrazeno 1 - 10
of 6 805
pro vyhledávání: '"Shen, Lin"'
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:
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
Publikováno v:
Frontiers in Chemistry. 5/6/2024, p1-25. 25p.
The mixed quantum-classical dynamical simulation is essential to study nonadiabatic phenomena in photophysics and photochemistry. In recent years, many machine learning models have been developed to accelerate the time evolution of the nuclear subsys
Externí odkaz:
http://arxiv.org/abs/2206.13780
Publikováno v:
Cancer Imaging, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background To evaluate the effect of Hashimoto’s thyroiditis (HT) on dual-energy computed tomography (DECT) quantitative parameters of cervical lymph nodes (LNs) in patients with papillary thyroid cancer (PTC), and its effect on the diagno
Externí odkaz:
https://doaj.org/article/1ca3005f346e4fca9a001d761df6df48
Publikováno v:
Cancer Medicine, Vol 12, Iss 22, Pp 21013-21021 (2023)
Abstract Background Currently there is no specific molecular biomarker for the diagnosis and treatment of renal cell carcinoma (RCC). Here we performed a gender‐specific two‐sample Mendelian randomization analysis to systematically assess the eff
Externí odkaz:
https://doaj.org/article/70a5ef0892e544cd9aea887b472a14a4