Zobrazeno 1 - 10
of 131
pro vyhledávání: '"Shuqin Sun"'
Publikováno v:
AIMS Mathematics, Vol 9, Iss 5, Pp 13245-13264 (2024)
This research investigated the fixed-time (FXT) synchronization of fractional-order fuzzy cellular neural networks (FCNNs) with delays and interactions based on an enhanced FXT stability theorem. By conceiving proper Lyapunov functions and applying i
Externí odkaz:
https://doaj.org/article/36eacd209547469190bb03b55422743c
Publikováno v:
Energies, Vol 17, Iss 17, p 4374 (2024)
As the scale of power systems continue to expand and their structure becomes increasingly complex, it is likely that branch power flow exceedance may occur during the operation of power systems, posing threats to the safe and stable operation of enti
Externí odkaz:
https://doaj.org/article/80d64a7ffdba401a9d1917442cea87d4
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0300618 (2024)
ObjectiveThe purpose of this study was to evaluate the effect of different teaching methods of geriatric nursing on the mastery of geriatric knowledge among nursing students and their attitude toward the elderly.MethodsRelevant randomized controlled
Externí odkaz:
https://doaj.org/article/8f2f3fd26b8e4ff5896026e548765887
Autor:
Xiurong Yang, Shuangyong Yan, Guangsheng Li, Yuejiao Li, Junling Li, Zhongqiu Cui, Shuqin Sun, Jianfei Huo, Yue Sun
Publikováno v:
PLoS ONE, Vol 19, Iss 3, p e0299999 (2024)
Rice blast, caused by rice blast fungus (Magnaporthe oryzae), is a global threat to food security, with up to 50% yield losses. Panicle blast is a severe form of rice blast, and disease responses vary between cultivars with different genotypes. React
Externí odkaz:
https://doaj.org/article/8c9bd9062f174938b542384053e7ba80
Autor:
Yuejiao Li, Meiying Bi, Shuqin Sun, Guangsheng Li, Qian Wang, Ming Ying, Liang Li, Xiurong Yang
Publikováno v:
Plant Signaling & Behavior, Vol 18, Iss 1 (2023)
Piriformospora indica, a plant root-colonizing basidiomycete fungus, exhibits strong growth-promoting activity in symbiosis with a broad range of plants. Here, we report the potential of P. indica to improve growth, yield, and disease resistance in w
Externí odkaz:
https://doaj.org/article/c548a31417ec4081aa7986b82a00e496
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 4284 (2024)
The classical bistable stochastic resonance algorithm has an inherent output saturation defect that restricts the amplitude of the output signal. This paper examines the causes of this phenomenon and its negative impact on the detection of weak signa
Externí odkaz:
https://doaj.org/article/9c9842bdb46c4d2abb17054134a52dc7
Autor:
Xiurong Yang, Shuangyong Yan, Yuejiao Li, Guangsheng Li, Shuqin Sun, Junling Li, Zhongqiu Cui, Jianfei Huo, Yue Sun, Xiaojing Wang, Fangzhou Liu
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 18, p 14310 (2023)
Rice (Oryza sativa L.) is one of the world’s most crucial food crops, as it currently supports more than half of the world’s population. However, the presence of sheath blight (SB) caused by Rhizoctonia solani has become a significant issue for r
Externí odkaz:
https://doaj.org/article/dc7363938db2446388f1d665ef43f00c
Publikováno v:
BMC Complementary and Alternative Medicine, Vol 17, Iss 1, Pp 1-12 (2017)
Abstract Background Apoptosis plays a critical role in the progression of diabetic cardiomyopathy (DC). Astragalus polysaccharides (APS), an extract of astragalus membranaceus (AM), is an effective cardioprotectant. Currently, little is known about t
Externí odkaz:
https://doaj.org/article/6db46be193d64856a46910525e36a033
Publikováno v:
Journal of the American Geriatrics SocietyREFERENCES.
Less is known regarding the association of pulse pressure (PP) with memory function. This study aimed to characterize long-term patterns of PP in middle-aged and older adults and explore their impact on subsequent change in memory function.Data from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35f67d9e1f6e4cfe03ccb2245b87c164
https://pubmed.ncbi.nlm.nih.gov/36289057
https://pubmed.ncbi.nlm.nih.gov/36289057
Autor:
Shuqin Sun, Ting Kei Pong
We propose a new algorithmic framework for constrained compressed sensing models that admit nonconvex sparsity-inducing regularizers including the log-penalty function as objectives, and nonconvex loss functions such as the Cauchy loss function and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc9d0ce92b6b878311aa0e59615de1f5
http://arxiv.org/abs/2206.08205
http://arxiv.org/abs/2206.08205
