Zobrazeno 1 - 10
of 217
pro vyhledávání: '"SHUHONG WU"'
Publikováno v:
Journal of Nanobiotechnology, Vol 22, Iss 1, Pp 1-33 (2024)
Abstract Allergic rhinitis (AR) is a condition with limited treatment options. This study investigates the potential use of mesenchymal stem cell (MSC) nanovesicles as a novel therapy for AR. Specifically, the study explores the underlying mechanisms
Externí odkaz:
https://doaj.org/article/90fff321eb9d4d05b4877981666a1d61
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Nasopharyngeal carcinoma (NPC) is a tumor that occurs in the nasopharynx. Although advances in detection and treatment have improved the prognosis of NPC the treatment of advanced NPC remains challenging. Here, we explored the effect of micr
Externí odkaz:
https://doaj.org/article/0bec6e6c07ab4c7ab25f025d4e6ef89b
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 3993 (2024)
The evaluation and prediction of ecological benefits are significant for regional resource development planning and path designing. This study established a novel ecological benefits evaluation system by integrating macro-ecosystem structure, Ecosyst
Externí odkaz:
https://doaj.org/article/8e15c7745b7842559c625f0124228c24
Publikováno v:
Remote Sensing, Vol 16, Iss 18, p 3461 (2024)
Exploring the response of spatial and temporal characteristics of ecological quality change to aridity on the Qinghai–Tibet Plateau (QTP) can provide valuable information for regional ecological protection, water resource management, and climate ch
Externí odkaz:
https://doaj.org/article/3a461e78203442aca571070189d7ffd2
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 54, Iss 5, Pp 846-852 (2023)
Purposes Studies of brain networks in schizophrenia (SCZ) have shown that both structural and functional networks are altered in patients. Extracting accurate discriminative features from brain networks as classification features can improve the clas
Externí odkaz:
https://doaj.org/article/19aa28ad0c4a4c11b767abf54629688d
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 54, Iss 5, Pp 796-803 (2023)
Purposes Reading comprehension is one of the most important cognitive abilities of human beings. Objective indicators should be provided in order to evaluate human reading comprehension ability. Methods A prediction model based on magnetoencephalogra
Externí odkaz:
https://doaj.org/article/943ebedb7ea7469d8f4c3b7c27368582
Autor:
Shiwei Ma, Yiqiong Sun, Xuan Chen, Jiayi Guo, Shuhong Wu, Guofeng Wu, Guanpeng Huang, Manegdebwaoga Arthur Fabrice Kabore, Samuel Tareke Woldegiorgis, Yufang Ai, Lina Zhang, Wei Liu, Huaqin He
Publikováno v:
Agronomy, Vol 14, Iss 7, p 1514 (2024)
Grain size is one of the critical factors determining rice yield. Previous studies have found the grain-size-regulating function of Gα in rice. However, the regulatory mechanism underlying the development of rice grain mediated by Gα is still uncle
Externí odkaz:
https://doaj.org/article/3d8b1eb4362e45d6ba7768658e44b7b7
Publikováno v:
Energies, Vol 17, Iss 13, p 3222 (2024)
In recent years, CO2 flooding has become an important technical measure for oil and gas field enterprises to further improve oil and gas recovery and achieve the goal of “dual carbon”. It is also one of the concrete application forms of CCUS. Num
Externí odkaz:
https://doaj.org/article/3f87e40213824517ba3dd97720636c87
Publikováno v:
Heliyon, Vol 9, Iss 11, Pp e21327- (2023)
Extrachromosomal DNA (ecDNA) is a special class of circular DNA in eukaryotes, which is independent of conventional chromosomes. These circular molecules play important roles in biology, especially in cancer biology. The emergence of sequencing techn
Externí odkaz:
https://doaj.org/article/5acdd70cabdc4a288fb462623344406a
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 130-137 (2022)
The natural gas compressibility factor is a vital parameter in petroleum engineering calculation. Currently, the calculation models for calculating natural gas compressibility factors in engineering are not accurate and efficient enough. To solve thi
Externí odkaz:
https://doaj.org/article/0ff840669975404ba950492220f48648