Zobrazeno 1 - 10
of 845
pro vyhledávání: '"Caiquan"'
Publikováno v:
Global Ecology and Conservation, Vol 53, Iss , Pp e03019- (2024)
Land-use changes lead to habitat loss and fragmentation, which poses a further threat to the survival of species. Therefore, it is crucial to analyze how land-use change affects its habitat. 37 counties in Sichuan Province, China, where giant pandas
Externí odkaz:
https://doaj.org/article/20ab30f6fd334f53895d4987cebc976c
Autor:
Hu Zhang, Zongkun Shi, Bin Feng, Ying Liu, Zhuo Tang, Xin Dong, Xiaodong Gu, Dunwu Qi, Weihua Xu, Caiquan Zhou, Jindong Zhang
Publikováno v:
Ecology and Evolution, Vol 14, Iss 7, Pp n/a-n/a (2024)
Abstract As human activities continue to expand, wildlife persistence faces escalating threats from roads. In Wolong area of Giant Panda National Park, the local giant pandas (Ailuropoda melanoleuca) are divided into two population groups along the N
Externí odkaz:
https://doaj.org/article/453e8d03ab0745ba9941c89051862bd8
Autor:
Lijing Huang, Yanchu Zheng, Shaohua Feng, Bangyuan Wu, Li Chen, Xiaoqin Xu, Bin Wang, Wanhong Li, Caiquan Zhou, Long Zhang
Publikováno v:
Animals, Vol 14, Iss 23, p 3418 (2024)
The Chinese monal (Lophophorus lhuysii) is a large-sized and vulnerable (VU in IUCN) bird from southwestern China. This study applied 16S rRNA high-throughput sequencing to comprehensively examine the gut microbiota of captive Chinese monals (located
Externí odkaz:
https://doaj.org/article/a6cfb23d4afd47d1a009c52eb9130d32
Autor:
Yunsen He, Ye Tao, Jing Tian, Mingbin Bao, Mengjun Zhang, Qinjiang Huang, Hongliang Li, Xinxin Chang, Kun Li, Ping Liu, Lili Guo, Xiaohong Qin, Caiquan Huang, Bo Wu
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
BackgroundThe disruption of intracranial fluid dynamics due to large unruptured cerebral arteriovenous malformation (AVM) commonly triggers a domino effect within the central nervous system. This phenomenon is frequently overlooked in prior clinic an
Externí odkaz:
https://doaj.org/article/d53666c201ac48019cfd409883d21588
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7656 (2024)
In abstract argumentation frameworks, the computation of stable extensions is an important semantic task for evaluating the acceptability of arguments. The current approaches for the computation of stable extensions are typically conducted through me
Externí odkaz:
https://doaj.org/article/ddaa24eb8dee444db2e54e25da67363c
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 8, p 1269 (2024)
Ship trajectory prediction is a complex time series forecasting problem that necessitates models capable of accurately capturing both long-term trends and short-term fluctuations in vessel movements. While existing deep learning models excel in short
Externí odkaz:
https://doaj.org/article/52dfca38ec564516bac53e43d76b48a2
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6428 (2024)
Abstract argumentation has become one of the important fields of artificial intelligence. This paper proposes a dual-neighborhood tabu search (DNTS) method specifically designed to find a single stable extension in abstract argumentation frameworks.
Externí odkaz:
https://doaj.org/article/5a709b01051a4a04847ab2f6315bc3f8
Autor:
Bin Feng, Yu Xiao, Lu Hu, Xu Yang, Xin Dong, Jindong Zhang, Zhisong Yang, Dunwu Qi, Caiquan Zhou, Wenke Bai
Publikováno v:
Ecosystem Health and Sustainability, Vol 10 (2024)
Climate change will impact the distribution of species and their preferred habitat, thereby influencing the ecological processes intrinsic to these species. To investigate these phenomena, we analyzed the habitat distribution, structure, and connecti
Externí odkaz:
https://doaj.org/article/bdf1a99351ff4e4eb597de40876fd9da
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Due to the numerous cross-operations and poor information communication, it is easy to cause production safety accidents in traditional assembled steel plants. The transformation and upgrading of smart production in the assembly steel plants
Externí odkaz:
https://doaj.org/article/8694bccbd5a94ca383a8749e12b0aa24
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 1208-1218 (2023)
Motor Imagery (MI) based on Electroencephalography (EEG), a typical Brain-Computer Interface (BCI) paradigm, can communicate with external devices according to the brain’s intentions. Convolutional Neural Networks (CNN) are gradually used for EEG c
Externí odkaz:
https://doaj.org/article/0f7988159593481f9b3a193e39c1036b