Výsledky vyhledávání - "Yao Yingying"

Akademický článek

The effect of LINC9137 targeting miR-140-3p-NKAIN3 signal axis on the development of goose testis sertoli cells

Autor: Wu Yingping, Lu Lizhi, Li Haiying, Chen Li, Gu Tiantian, Zhao Xiaoyu, Yao Yingying, Li Jiahui

Publikováno v: Poultry Science, Vol 103, Iss 6, Pp 103724- (2024)

ABSTRACT: Sertoli cells (SC) are a type of important cells in the testes, which can provide transport proteins, regulatory proteins, growth factors, and other cytokines for the spermatogenic process. They participate in the regulation of the maturati

Externí odkaz: https://doaj.org/article/e8694494fd144d649bb6f3bf1636562a

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Akademický článek

Design and feasibility verification of regenerative system of electric thermal storage boiler for peak shaving in summer in power plant

Autor: Yao Yingying, Wang Xiaobo, Dou Zhongzhou, Wang Hang, Li Zeyang

Publikováno v: MATEC Web of Conferences, Vol 355, p 02060 (2022)

During the heating period, the thermal storage electric boiler helps the thermal power units to participate in the deep peak regulation by converting the electric energy into heat energy for heating users, but in the non-heating period, the thermal s

Externí odkaz: https://doaj.org/article/a75362d6f9614f33ac73021886876dd0

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Report

RSMS: Towards Reliable and Secure Metaverse Service Provision

Autor: Gong, Yanwei, Chang, Xiaolin, Mišić, Jelena, Mišić, Vojislav B., Yao, Yingying

Establishing and sustaining Metaverse service necessitates an unprecedented scale of resources. This paper considers the deployment of Metaverse service in a cloud-edge resource architecture, which can satisfy the escalating demand for Metaverse serv

Externí odkaz: http://arxiv.org/abs/2310.05033

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Report

CRS-FL: Conditional Random Sampling for Communication-Efficient and Privacy-Preserving Federated Learning

Autor: Wang, Jianhua, Chang, Xiaolin, Mišić, Jelena, Mišić, Vojislav B., Li, Lin, Yao, Yingying

Federated Learning (FL), a privacy-oriented distributed ML paradigm, is being gaining great interest in Internet of Things because of its capability to protect participants data privacy. Studies have been conducted to address challenges existing in s

Externí odkaz: http://arxiv.org/abs/2306.00674

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