Zobrazeno 1 - 10
of 1 001
pro vyhledávání: '"Chunhui, Zhao"'
Publikováno v:
Zhongguo quanke yixue, Vol 28, Iss 02, Pp 149-158 (2025)
Background With the population aging, the number of patients with chronic diseases and disability is increasing, which brings a heavy burden on the medical system. While it is well established that comorbidity and disability are closely interconnecte
Externí odkaz:
https://doaj.org/article/a46c708571564e7ea9883ffff97dc524
Publikováno v:
Meitan xuebao, Vol 49, Iss 7, Pp 3154-3166 (2024)
Sequestration of CO2 in the unmineable coal seams is not only one of the most ideal options for reducing greenhouse gas effects, but also the only way for the coal industry to reduce CO2 emissions and achieve low carbonization sustainable development
Externí odkaz:
https://doaj.org/article/cfcbf73ab296499c89c040be4ff32281
Autor:
Zhaoqin Cai, Lixia Ruan, Wanling Wei, Wen He, Haixia Yang, Huixian Chen, Zhenhua Liang, Zhenling Huang, Xiu Lan, Xiufen Zhang, Ruolan Huang, Chunhui Zhao, Tianyuan Li, Longfei He, Hengrui Li
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-20 (2024)
Abstract Background Cassava is one of three major potato crops and the sixth most important food crop globally. Improving yield remains a primary aim in cassava breeding. Notably, plant height significantly impacts the yield and quality of crops; how
Externí odkaz:
https://doaj.org/article/eed07e93b2c14459adccc594e627e63e
Publikováno v:
Meitan kexue jishu, Vol 52, Iss S1, Pp 288-298 (2024)
Geological storage of CO2 as an idea carbon reduction technology is expected to become an important means of mitigating the greenhouse effect. Therefore, quantitatively assessing the potential of geological storage of CO2 in deep coal seams and inves
Externí odkaz:
https://doaj.org/article/7f1e44961136404d86b4d0b3b2eb2d63
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
IntroductionHaving multiple pharmacological effects is a characteristic of Traditional Chinese Medicine (TCM). Currently, there is a lack of suitable methods to explore and discover modern diseases suitable for TCM treatment using this characteristic
Externí odkaz:
https://doaj.org/article/b0c3342a588c46508913bdcdbad1f4d6
Autor:
Huina Xu, Chunyun Lu, Chunhui Zhao, Tianyu Zhang, Andong Ji, Runjia Shi, Qiangwei Liu, Suisui Jiang, Duo Li
Publikováno v:
Journal of Functional Foods, Vol 119, Iss , Pp 106282- (2024)
Mining the nutritional function of Nannochloropsis gaditana is crucial for its development and utilization. This study evaluated the protective effect of purified Nannochloropsis gaditana polysaccharides (NPS) on alcohol-induced dyslipidemia. The stu
Externí odkaz:
https://doaj.org/article/e0e6e6988f7b44ac93da036a830ecbaa
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 20080-20097 (2024)
Hyperspectral image (HSI) is pivotal in ground object classification, owing to its rich spatial and spectral information. Recently, convolutional neural networks and graph neural networks have become hotspots in HSI classification. Although various m
Externí odkaz:
https://doaj.org/article/d9c7ff73277f40b388337d487adb12e6
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18365-18378 (2024)
Semantic change detection (SCD) aiming to localize changes and identify their types is a complex pixel-level classification task. In SCD, detecting changes of narrow and long objects (NLOs) common in various scenarios is more challenging than detecti
Externí odkaz:
https://doaj.org/article/8ba002cfaad145d295c53422e39813aa
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12364-12373 (2024)
With the development of Earth observation technology, it becomes easier and easier to acquire multimodal image data at the same time. To improve the performance of a multimodal remote-sensing detection algorithm, a new fusion feature optimization det
Externí odkaz:
https://doaj.org/article/09c3804ecb044d63a1978a4becfb4bbd
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10674-10689 (2024)
Deep learning methodologies have demonstrated considerable effectiveness in hyperspectral anomaly detection (HAD). However, the practicality of deep learning-based HAD in real-world applications is impeded by challenges arising from limited labeled d
Externí odkaz:
https://doaj.org/article/45e1fe0ba2c24fec95c01948b6e4a6f6