Zobrazeno 1 - 10
of 241
pro vyhledávání: '"Heping, Ma"'
Autor:
Xiaotong Song, Jiqi Gu, Ling Liu, Yujia Liao, Heping Ma, Ruihong Wang, Yanhui Ye, Ji Li, Xiaoming Shao
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34515- (2024)
The Qinghai-Tibet Plateau stands as one of the most ecologically fragile and biodiversity-rich regions globally. Understanding the distribution of different taxa and their relationship with environmental factors is crucial for effective conservation
Externí odkaz:
https://doaj.org/article/8fa44951eaa54d6f92782443715729f0
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 12, Pp 21211-21228 (2023)
In this paper, we study the problem of optimal control of backward stochastic differential equations with three delays (discrete delay, moving-average delay and noisy memory). We establish the sufficient optimality condition for the stochastic system
Externí odkaz:
https://doaj.org/article/e1a4ef184e22499e93e06b54b5fa15ec
Publikováno v:
Carbon Energy, Vol 6, Iss 5, Pp n/a-n/a (2024)
Abstract Porous aromatic framework 1 (PAF‐1) is an extremely representative nanoporous organic framework owing to its high stability and exceptionally high surface area. Currently, the synthesis of PAF‐1 is catalyzed by the Ni(COD)2/COD/bpy syste
Externí odkaz:
https://doaj.org/article/9612f1c24e0848ff97fbe02ce546df3c
Autor:
Xi Chen, Wanyue Jiang, Honggang Qi, Min Liu, Heping Ma, Philip LH Yu, Ying Wen, Zhen Han, Shuqi Zhang, Guitao Cao
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 127, Iss , Pp 103675- (2024)
Object detection on very high resolution (VHR) remote sensing images is a crucial task that has seen remarkable progress in developing deep learning techniques. However, deep learning-based methods rely heavily on the quality and quantity of labeled
Externí odkaz:
https://doaj.org/article/3805cfcdc6b24311bfffab283b2f1b5b
Autor:
Sa Wang, Yu Fu, Ting Wang, Wansheng Liu, Jian Wang, Peng Zhao, Heping Ma, Yao Chen, Peng Cheng, Zhenjie Zhang
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-9 (2023)
Abstract The development of fast-response sensors for detecting NH3 at room temperature remains a formidable challenge. Here, to address this challenge, two highly robust Hoffmann-type metal-organic frameworks are rationally applied as the NH3 sensin
Externí odkaz:
https://doaj.org/article/5db58fcbd4db4acb83326cade4770511
Autor:
Ruoqian Zhang, Dingyue Hu, Yu Fu, Qian Feng, Chaoqun Mu, Kai Gao, Heping Ma, Ming Liu, Mingming Zhang
Publikováno v:
Aggregate, Vol 5, Iss 1, Pp n/a-n/a (2024)
Abstract The design of novel materials for sulfur dioxide (SO2) capture and conversion with considerable efficiency under mild conditions is of great significance for human health and environmental protection yet highly challenging. Herein, we report
Externí odkaz:
https://doaj.org/article/f6cafc9d3ae0415c8390e5f9a6535adb
Publikováno v:
Plants, Vol 13, Iss 7, p 921 (2024)
Investigating intraspecific trait variability is crucial for understanding plant adaptation to various environments, yet research on lithophytic mosses in extreme environments remains scarce. This study focuses on Indusiella thianschanica Broth. Hal.
Externí odkaz:
https://doaj.org/article/21951e4f888146ca8a18ac21747c602c
Autor:
Xiaotong Song, Jiqi Gu, Yanhui Ye, Wei Li, Yujia Liao, Ruihong Wang, Heping Ma, Xiaoming Shao
Publikováno v:
Forests, Vol 15, Iss 1, p 48 (2023)
Elevation has been a cornerstone of biodiversity research, and changes in the environmental factors behind it influence biodiversity and community patterns. Exploring the potential reasons behind liverwort community patterns has been a matter of mult
Externí odkaz:
https://doaj.org/article/1b4c6d0b32b6408f9078dc0aa15e5584
Publikováno v:
EMBO Molecular Medicine, Vol 12, Iss 4, Pp 1-18 (2020)
Abstract Cytosolic double‐stranded DNA (dsDNA) is a danger signal that is tightly monitored and sensed by nucleic acid‐sensing pattern recognition receptors. We study the inflammatory cascade on dsDNA recognition and investigate the neuroprotecti
Externí odkaz:
https://doaj.org/article/fec1d23beb834fa694adf35f49283710
Publikováno v:
Forests, Vol 13, Iss 12, p 2154 (2022)
Epiphytic bryophytes can maintain water, recycle nutrients, and provide habitats for many other organisms in the forest ecosystem. Describing the spatial change of epiphytic bryophytes plays an important role in understanding the potential factors of
Externí odkaz:
https://doaj.org/article/357b10e5a3414bf6adc8a9413f281d77