Zobrazeno 1 - 10
of 3 847
pro vyhledávání: '"Liang Yun"'
Autor:
Zhuoying Yang, Zehao Zhou, Qingyu Meng, Zhijie Chen, Liang Yun, Jianjun Jiang, Yujing He, Meijuan Dian, Ruihao Zhang, Haotian Ge, Tianbao Yan, Biying Men, Zichao Li, Xu Wu, Junming He, Shuan Rao
Publikováno v:
Cancer Medicine, Vol 13, Iss 19, Pp n/a-n/a (2024)
ABSTRACT Background Despite significant advances in lung cancer treatment, cisplatin (DDP)‐based chemotherapy remains a cornerstone for managing the disease. However, the prevalence of chemoresistance presents a major challenge, limiting its effect
Externí odkaz:
https://doaj.org/article/9f55a898b7354e5c83c603c94cd0e45d
Publikováno v:
Guangtongxin yanjiu, Pp 45-54 (2023)
Submarine optical fiber composite cables are widely used in cross-ocean information and energy interconnection projects play a key role in the national marine strategy. the environment condition is complex, different types of mechanical damage will d
Externí odkaz:
https://doaj.org/article/a044b4063ee342558fd911ab4cdf41e4
Publikováno v:
Xiehe Yixue Zazhi, Vol 14, Iss 1, Pp 94-100 (2023)
Neuroendocrine neoplasms (NENs) are a group of malignancies arising from neuroendocrine cells and peptidergic neurons. The high heterogeneity of NENs leads to challenges and complexities in its diagnosis and treatment. Experts from relevant disciplin
Externí odkaz:
https://doaj.org/article/d147d99bf1e04f6cba265b9df3bea867
Publikováno v:
Zhongguo aizheng zazhi, Vol 32, Iss 9, Pp 757-764 (2022)
Neuroendocrine neoplasm (NEN) is a group of heterogeneous malignancies arising from neuroendocrine cells and peptidergic neurons. According to its cell differentiation, NEN can be divided into two distinct groups as well-differentiated neuroendocrine
Externí odkaz:
https://doaj.org/article/7387238ac395464bbe63c529823ee779
Memory-based video object segmentation methods model multiple objects over long temporal-spatial spans by establishing memory bank, which achieve the remarkable performance. However, they struggle to overcome the false matching and are prone to lose
Externí odkaz:
http://arxiv.org/abs/2409.14343
Primordial black holes (PBHs) are hypothetical objects formed at the early epoch of the universe, which could be a type of dark matter (DM) candidate without the need for new particles. The abundance of PBH DM has been constrained strictly by many ob
Externí odkaz:
http://arxiv.org/abs/2408.14353
Autor:
Fan, Yi-Zhong, Shen, Zhao-Qiang, Liang, Yun-Feng, Li, Xiang, Duan, Kai-Kai, Xia, Zi-Qing, Huang, Xiao-Yuan, Feng, Lei, Yuan, Qiang
As the largest gravitationally bound objects in the Universe, galaxy clusters have provided the first piece of evidence for the presence of dark matter and may be suitable targets for indirect dark matter searches. Among various signals, the GeV-TeV
Externí odkaz:
http://arxiv.org/abs/2407.11737
Superluminous supernovae (SLSNe) are a new class of transients with luminosities $\sim10 -100$ times larger than the usual core-collapse supernovae (SNe). Their origin is still unclear and one widely discussed scenario involves a millisecond magnetar
Externí odkaz:
http://arxiv.org/abs/2407.05968
Current unsupervised anomaly detection approaches perform well on public datasets but struggle with specific anomaly types due to the domain gap between pre-trained feature extractors and target-specific domains. To tackle this issue, this paper pres
Externí odkaz:
http://arxiv.org/abs/2407.01312
IoT devices based on microcontroller units (MCU) provide ultra-low power consumption and ubiquitous computation for near-sensor deep learning models (DNN). However, the memory of MCU is usually 2-3 orders of magnitude smaller than mobile devices, whi
Externí odkaz:
http://arxiv.org/abs/2406.06542