Zobrazeno 1 - 10
of 1 516
pro vyhledávání: '"HUANG Na"'
Publikováno v:
中西医结合护理, Vol 9, Iss 2, Pp 15-19 (2023)
Objective Using Benson’s relaxation training to reduce the physical tension and anxiety of elderly patients with glioma after surgery, improve the quality of sleep, relieve fatigue, and improve the satisfaction of patients during hospitalization. M
Externí odkaz:
https://doaj.org/article/576cf66215234da08fe2a2eb21f664e5
Publikováno v:
口腔疾病防治, Vol 24, Iss 12, Pp 736-740 (2016)
Traditional implant treatment protocol acquires a long period of unloading status which results in many complains of patients. Researchers try to shorten the treatment period and simplify the surgical technique. Fluoride⁃mod⁃ ified implant surf
Externí odkaz:
https://doaj.org/article/4d7f61813c9f4a90b9955b752ade59be
Publikováno v:
E3S Web of Conferences, Vol 185, p 04033 (2020)
The relative permeability of oil-water two-phase flow is an important parameter in fractured petroleum reservoirs. It is widely accepted that the sum of relative permeabilities is less than 1. In this study, a series of experiments have been conducte
Externí odkaz:
https://doaj.org/article/fba5502e114543a6ac6a0fad2603ee53
Publikováno v:
E3S Web of Conferences, Vol 185, p 01091 (2020)
To investigate the resistance performance of pore throats in porous media, a new method was used to conduct experiments to indirectly measure the local pressure loss of single-phase water and oil- water two-phase flow through pore-throat structures.
Externí odkaz:
https://doaj.org/article/a14edfc28c414f99a5ef0686bb952e11
Autor:
Ren, Zhaochun, Huang, Na, Wang, Yidan, Ren, Pengjie, Ma, Jun, Lei, Jiahuan, Shi, Xinlei, Luo, Hengliang, Jose, Joemon M, Xin, Xin
Learning reinforcement learning (RL)-based recommenders from historical user-item interaction sequences is vital to generate high-reward recommendations and improve long-term cumulative benefits. However, existing RL recommendation methods encounter
Externí odkaz:
http://arxiv.org/abs/2305.11081
Autor:
Liu, Zheng, Huang, Na, Han, Chunjia, Yang, Mu, Zhao, Yuanjun, Sun, Wenzhuo, Arya, Varsha, Gupta, Brij B., Shi, Lihua
Publikováno v:
British Food Journal, 2024, Vol. 126, Issue 6, pp. 2477-2499.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/BFJ-12-2023-1089
Autor:
Liu, Zheng1 (AUTHOR), Huang, Na1 (AUTHOR) m330122501@sues.edu.cn, Hu, Bin1 (AUTHOR), Sun, Wenzhuo1 (AUTHOR), Shi, Lihua1 (AUTHOR), Zhao, Yuanjun2 (AUTHOR), Han, Chunjia3 (AUTHOR)
Publikováno v:
PLoS ONE. 10/22/2024, Vol. 19 Issue 10, p1-20. 20p.
Autor:
Huang, Na1 (AUTHOR), Han, Shengqun1 (AUTHOR), Zhang, Xuepeng2 (AUTHOR) zhangxuepeng0722@126.com, Wang, Gang3 (AUTHOR), Jiang, Yujing4 (AUTHOR)
Publikováno v:
Scientific Reports. 9/28/2024, Vol. 14 Issue 1, p1-23. 23p.
Publikováno v:
SIAM Journal on Scientific Computing, 2023
We consider the generalized successive overrelaxation (GSOR) method for solving a class of block three-by-three saddle-point problems. Based on the necessary and sufficient conditions for all roots of a real cubic polynomial to have modulus less than
Externí odkaz:
http://arxiv.org/abs/2208.07499
Autor:
Wang, Zihan, Huang, Na, Sun, Fei, Ren, Pengjie, Chen, Zhumin, Luo, Hengliang, de Rijke, Maarten, Ren, Zhaochun
Learned recommender systems may inadvertently leak information about their training data, leading to privacy violations. We investigate privacy threats faced by recommender systems through the lens of membership inference. In such attacks, an adversa
Externí odkaz:
http://arxiv.org/abs/2206.12401