Zobrazeno 1 - 10
of 3 782
pro vyhledávání: '"CAI Xin"'
Autor:
DU Yushan, JIANG Long, CHENG Ziyan, LI Weizhong, REN Minhua, LIU Wei, NI Liangtian, CHEN Jianxun, CAI Xin, GUO Shibo, WANG Yunhe, LIU Yan, FANG Zheng, PENG Yanxia, LONG Jiajia
Publikováno v:
Youqi dizhi yu caishoulu, Vol 31, Iss 5, Pp 77-98 (2024)
In order to realize the effective development of shale oil with low maturity in continental faulted basins in Jiyang Depression， systematic evaluations have been carried out simultaneously in Boxing， Niuzhuang， and Minfeng sags since 2019， ba
Externí odkaz:
https://doaj.org/article/a891386fc40a4feb9af782b4ac0497d3
Autor:
Wenfei Zhang, Xingwang Gu, Bing Li, Shulin Liu, Jingyuan Yang, Yuelin Wang, Shiyu Cheng, Lin Lv, Zhiqing Li, Linna Lu, Jinghong Zhang, Qi Zeng, Zefeng Xiao, Guangfeng Liu, Cai Xin, Tianyu Zhang, Yingdan Su, Minyu Chen, Chengshu Wang, Yonkang Cun, Xinyu Zhao, Youxin Chen
Publikováno v:
Annals of Medicine, Vol 56, Iss 1 (2024)
Background Polypoidal choroidal vasculopathy (PCV) is a hemorrhagic fundus disease that can lead to permanent vision loss. Predicting the treatment response to anti-VEGF monotherapy in PCV is consistently challenging. We aimed to conduct a prospectiv
Externí odkaz:
https://doaj.org/article/309091d398b4469a882272275b78c69f
Publikováno v:
Science and Engineering of Composite Materials, Vol 29, Iss 1, Pp 438-451 (2022)
As an environmentally friendly, green, and low-carbon construction material, cemented sand and gravel (CSG) dam is widely used in civil engineering and water conservation projects in China. This study describes the progress of research on CSG dams (m
Externí odkaz:
https://doaj.org/article/976630c480ab41788bd3bf97aa9cfea8
Publikováno v:
陆军军医大学学报, Vol 44, Iss 24, Pp 2507-2513 (2022)
Objective To investigate the effect of CPNE3 on the proliferation, migration and invasion of non-small cell lung cancer (NSCLC) cell line A549 and its underlying mechanism. Methods The expression of CPNE3 in NSCLC and its relationship with prognosis
Externí odkaz:
https://doaj.org/article/7e0f8367f0d348e587b38ce40029f5f9
Publikováno v:
Jisuanji kexue, Vol 49, Iss 6, Pp 134-141 (2022)
In the era of intelligence,continuous autonomous learning and optimization need to be carried out on the big data platform,and the first step of continuous autonomous learning is data enhancement.This paper proposes a broad learning method based on c
Externí odkaz:
https://doaj.org/article/87a86c62fd7a4b8a993231c2e417462d
Autor:
PHURBU Droma, CHEN Huan, CHEN Wenjin, DU Wei, LIN Guoying, PAN Wenjun, CHENG Li, GUI Xiying, CAI Xin, CHODRON Tenzin, FU Jianlei, LI Qianwei, TSE Yang, JI Lyu, TSERING Samdrup, DA Wa, GUO Juan, QIU Cheng, WANG Xiaoting, CHAO Yangong, LIU Dawei, CHAI Wenzhao, ZHU Shihong
Publikováno v:
Xiehe Yixue Zazhi, Vol 13, Iss 1, Pp 24-38 (2022)
Neurocritical care is an important branch of critical care medicine. The mechanism of critical neurological damage is complex and diverse, and the pathophysiology changes rapidly. Different pathophysiological changes determine different degrees of br
Externí odkaz:
https://doaj.org/article/bec012f0c50b4f269ecbc1f547b60d6f
Reinforcement Learning (RL) empowers agents to acquire various skills by learning from reward signals. Unfortunately, designing high-quality instance-level rewards often demands significant effort. An emerging alternative, RL with delayed reward, foc
Externí odkaz:
http://arxiv.org/abs/2410.20176
Toxicity classification in textual content remains a significant problem. Data with labels from a single annotator fall short of capturing the diversity of human perspectives. Therefore, there is a growing need to incorporate crowdsourced annotations
Externí odkaz:
http://arxiv.org/abs/2410.14894
Lensless cameras offer significant advantages in size, weight, and cost compared to traditional lens-based systems. Without a focusing lens, lensless cameras rely on computational algorithms to recover the scenes from multiplexed measurements. Howeve
Externí odkaz:
http://arxiv.org/abs/2409.17996
Lensless cameras, innovatively replacing traditional lenses for ultra-thin, flat optics, encode light directly onto sensors, producing images that are not immediately recognizable. This compact, lightweight, and cost-effective imaging solution offers
Externí odkaz:
http://arxiv.org/abs/2406.04129