Zobrazeno 1 - 10
of 13 050
pro vyhledávání: '"SUN Peng"'
Publikováno v:
Chinese Journal of Contemporary Neurology and Neurosurgery, Vol 24, Iss 10, Pp 807-812 (2024)
Objective To review the effect of resection of pediaric craniopharyngioma and the long-term quality of life. Methods The clinical datas before, during and after operation of 30 pediatric craniopharyngioma patients who were operated in Xuanwu Hospital
Externí odkaz:
https://doaj.org/article/a092f806eb30470ba8db30715ff0825a
Publikováno v:
Hangkong gongcheng jinzhan, Vol 15, Iss 5, Pp 191-198 (2024)
The heat source analysis and quantitative calculation of heat production of the bearing-support structure system can provide a reliable basis for the thermal protection design of the bearing cavity. Through theoretical analysis of heat transfer and t
Externí odkaz:
https://doaj.org/article/c8cf6225addd4a8b91bd82d2490243b7
Publikováno v:
发电技术, Vol 45, Iss 5, Pp 983-994 (2024)
ObjectivesTraditional electric energy storage has limitations in scale, duration, and environmental impact.Moreover, the renewable energy absorption capacity in the microgrid is low, and low-carbon and economy cannot be taken into account in planning
Externí odkaz:
https://doaj.org/article/7fe335fd1c814a608b759a10d2e2ac37
Publikováno v:
Chinese Journal of Contemporary Neurology and Neurosurgery, Vol 24, Iss 9, Pp 701-705 (2024)
Craniopharyngioma is a kind of common benign intracranial tumor. Craniopharyngioma may originate anywhere in the pituitary stalk. The different origin sites of the tumor are related to its growth pattern, and the relationship between tumor and the su
Externí odkaz:
https://doaj.org/article/d25229dbed7b41c78d12c2fcdff17f77
Publikováno v:
Tongxin xuebao, Vol 45, Pp 115-127 (2024)
In order to improve the amplitude loss of signal gradient features and seek the optimal scale of signal description, a soft threshold wideband spectrum sensing algorithm based on enhanced gradient operators was proposed. By introducing the gradient e
Externí odkaz:
https://doaj.org/article/55280d30933b4cca93eaf70f11f81f71
Publikováno v:
Liang you shipin ke-ji, Vol 32, Iss 1, Pp 146-152 (2024)
The development of grain storage warehouses has low high-tech coverage because of the special features of grain products. Traditional grain warehouses are facing problems including limited land resources, increased labor costs, and poorer health indi
Externí odkaz:
https://doaj.org/article/3cd79654c9e4451986b45155a0d24fb2
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In recent years, the expansive utilization of data mining techniques has revolutionized various fields, including the analysis of dance videos. This study leverages data mining to meticulously capture and analyze dance movements, thereby facilitating
Externí odkaz:
https://doaj.org/article/37042921f14a4d52bb5887c703eeab8d
Autor:
Sun Peng
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper proposes a digital teaching innovation path for art majors and builds a digital teaching innovation technology framework with digital teaching resource management and online and offline blended teaching as the main modules. In digital teac
Externí odkaz:
https://doaj.org/article/b432f30d240f43bd8fa8c6e18e3ff682
Publikováno v:
Chinese Journal of Contemporary Neurology and Neurosurgery, Vol 23, Iss 5, Pp 388-392 (2023)
The mainstream treatment strategies for pediatric cerebral arteriovenous malformation (CAVM) include microsurgery, interventional surgery and stereotactic radiosurgery (SRS). The best prognosis of a patient cannot be achieved by any single treatment
Externí odkaz:
https://doaj.org/article/5c463e42b2b44090875dfbcf7a1eb473
Publikováno v:
Cognitive Robotics, Vol 3, Iss , Pp 1-7 (2023)
Some problems still exist in health management and application such as insufficient data, limited technology, and lack of professional evaluation methods by physicians with medical theory. In this study, an intelligent method is based on an analysis
Externí odkaz:
https://doaj.org/article/e09a581c5f9c4aa99f5cf332b48faaf0