Search

Your search keyword '"HUANG Na"' showing total 1,687 results
Start Over Author "HUANG Na"
1,687 results on '"HUANG Na"'

1. Effect of Benson’s relaxation training on fatigue and sleep quality of elderly patients after surgery for with glioma (本森放松训练对老年胶质瘤术后患者疲乏程度与睡眠质量的影响)

Author

GAO Yan (高严), HUANG Na (黄娜), and DENG Lan (邓岚)

Subjects
benson’s relaxation training, gliomas in the elderly, sleep quality, fatigue degree, nursing satisfaction, 本森放松训练, 老年胶质瘤, 睡眠质量, 疲乏程度, 护理满意度, Nursing, RT1-120
Abstract

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. Methods A total of 100 elderly glioma patients admitted to the hospital from April to October 2022 were studied. They were randomly divided into observation group and control group, with 50 cases in each group. The control group received routine nursing measures, and the observation group was given Benson’s relaxation training on the basis of postoperative routine care. After 4 weeks, the Pittsburgh Sleep Quality Index (PSQI), revised-Piper Fatigue Scale (PFS-R) and patient nursing satisfaction were compared between the two groups. Results After 4 weeks of intervention, total score of PSQI and R-PFS in the observation group was lower than that in the control group respectively(P＜0. 01). The score of patient satisfaction in the observation group was lower than that in the control group(P＜0. 01). Conclusion Benson’s relaxation training can effectively improve the sleep quality of elderly glioma patients, reduce the degree of fatigue, improve nursing satisfaction. (目的 通过采用本森放松训练来缓解老年胶质瘤患者术后躯体紧张和焦虑感, 改善患者睡眠质量, 缓解疲乏, 提高患者住院期间的满意度。方法 选取2022年4月—10月首都医科大学附属北京天坛医院神经外科肿瘤六病区收治的100例老年胶质瘤患者为研究对象, 随机分为观察组和对照组, 各50例。对照组接受常规护理, 观察组在常规护理的基础上给予患者本森放松训练。干预4周后比较两组患者匹兹堡睡眠质量指数(PSQI)和Piper疲乏修订量表(PFS-R)评分, 评价患者护理满意度。结果 干预 4 周后, 观察组PSQI量表总分和R-PFS量表总分低于对照组, 差异有统计学意义(P＜0. 01)。观察组满意度评分高于对照组, 差异有统计学意义(P＜0. 01)。结论 本森放松训练方法能有效改善老年脑胶质瘤患者的睡眠质量, 降低患者疲乏程度, 提高护理满意度。)

Published
2023
Full Text
View/download PDF

4. Indoor Architectural Environment Quality Perception and Differentiation Analysis Using Computer Vision Simulation

Author

Liu, Zheng, Huang, Na, Zhang, Zhenguo, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Lu, Xinzheng, Series Editor, and Casini, Marco, editor

Published
2025
Full Text
View/download PDF

13. Research progress of immediate loading of fluoride⁃modified implants

Author

LIU Zi⁃ping, HUANG Na, and WANG Yuan⁃ qin

Subjects
Dental implant, Immediate loading, Fluoride⁃modified, Surface modification, Osseointegration, Medicine
Abstract

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 surface, which can improve the early ossointegration, has more and more clinical application. This article makes a literature review of the immediate loading of fluoride⁃modified implants in recent years.

Published
2016
Full Text
View/download PDF

14. Study of Oil-Water Two-Phase Stratified Flow in Horizontal Fractures

Author

Huang Na, Liu Dongxu, Sun Yuhan, and Liu Lei

Subjects
Environmental sciences, GE1-350
Abstract

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 conducted on six rectangular fractures for oil-water two-phase flows. Analytical investigations of the effects of flow rate, aspect ratio, and fracture size on the relative permeability of oil-water two-phase are analysed. Basic fluid flow equations are combined to develop a new analytical model for water-oil two-phase flow in a horizontal fracture. The simulation results predicted by this model are in good agreement with the experimental data. The relative permeability is a function of flow ratio, viscosity ratio, aspect ratio and saturation. It increases as aspect ratio increases if the fracture depths are the same, while it decreases as aspect ratio increases if the fracture widths are identical. Both experiment and model indicate that the sum of relative permeabilities of oil and water is greater than 1 in some cases, different from the accepted view.

Published
2020
Full Text
View/download PDF

15. A New Method to Experimentally Investigate Local Pressure Loss of Oil-Water Two-Phase Flow through Pore Throats

Author

Liu Dongxu, Huang Na, and Liu Lei

Subjects
Environmental sciences, GE1-350
Abstract

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. Four microchannels were designed and manufactured with MEMS technology. One of the four microchannels is a straight duct with no throat and each of the other three has one throat within the passage. By comparison of total pressure drops between the straight duct with no throat and the channel with a throat at the same flow rate, the local pressure loss over a pore- throat structure can be determined. In this paper, the pore-throat structure is defined as a combination of a contraction, an expansion and a throat to stimulate the pore throat in porous media. Experimental results show that local pressure loss, nonlinear with the flow rate, grows up with the decrease of throat size and the increase of oil volume fraction. Local loss coefficient, characterizing the local resistance performance of pore-throat structure, diminishes with the increase of Reynolds number. Reynolds number (in throat part) is in the range of 100-1100. A new empirical correlation of local loss coefficient is proposed for single-phase water and oil-water two-phase flow through pore-throat structure.

Published
2020
Full Text
View/download PDF

19. Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems

Author

Ren, Zhaochun, Huang, Na, Wang, Yidan, Ren, Pengjie, Ma, Jun, Lei, Jiahuan, Shi, Xinlei, Luo, Hengliang, Jose, Joemon M, and Xin, Xin

Subjects
Computer Science - Information Retrieval
Abstract

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 difficulties (i) to estimate the value functions for states which are not contained in the offline training data, and (ii) to learn effective state representations from user implicit feedback due to the lack of contrastive signals. In this work, we propose contrastive state augmentations (CSA) for the training of RL-based recommender systems. To tackle the first issue, we propose four state augmentation strategies to enlarge the state space of the offline data. The proposed method improves the generalization capability of the recommender by making the RL agent visit the local state regions and ensuring the learned value functions are similar between the original and augmented states. For the second issue, we propose introducing contrastive signals between augmented states and the state randomly sampled from other sessions to improve the state representation learning further. To verify the effectiveness of the proposed CSA, we conduct extensive experiments on two publicly accessible datasets and one dataset collected from a real-life e-commerce platform. We also conduct experiments on a simulated environment as the online evaluation setting. Experimental results demonstrate that CSA can effectively improve recommendation performance.

Published
2023

20. Analysis of Electromagnetic and Losses Characteristics for 12 MW Permanent Magnet Synchronous Wind Generator

Author

Huang, Na, Yang, Jie, Yu, Wenbin, Du, Guanghui, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Yang, Qingxin, editor, Li, Zewen, editor, and Luo, An, editor

Published
2024
Full Text
View/download PDF

21. Thermal Analysis of High Power Permanent Magnet Synchronous Wind Generator

Author

Huang, Na, Yang, Jie, Yu, Wenbin, Du, Guanghui, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Yang, Qingxin, editor, Li, Zewen, editor, and Luo, An, editor

Published
2024
Full Text
View/download PDF

25. On GSOR, the Generalized Successive Overrelaxation Method for Double Saddle-Point Problems

Author

Huang, Na, Dai, Yu-Hong, Orban, Dominique, and Saunders, Michael A.

Subjects
Mathematics - Numerical Analysis, 65F10, 65F50
Abstract

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 one, we derive convergence results under reasonable assumptions. We also analyze a class of block lower triangular preconditioners induced from GSOR and derive explicit and sharp spectral bounds for the preconditioned matrices. We report numerical experiments on test problems from the liquid crystal director model and the coupled Stokes-Darcy flow, demonstrating the usefulness of GSOR.

Published
2022
Full Text
View/download PDF

26. Debiasing Learning for Membership Inference Attacks Against Recommender Systems

Author

Wang, Zihan, Huang, Na, Sun, Fei, Ren, Pengjie, Chen, Zhumin, Luo, Hengliang, de Rijke, Maarten, and Ren, Zhaochun

Subjects
Computer Science - Information Retrieval, Computer Science - Cryptography and Security, Computer Science - Machine Learning
Abstract

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 adversary aims to infer whether a user's data is used to train the target recommender. To achieve this, previous work has used a shadow recommender to derive training data for the attack model, and then predicts the membership by calculating difference vectors between users' historical interactions and recommended items. State-of-the-art methods face two challenging problems: (1) training data for the attack model is biased due to the gap between shadow and target recommenders, and (2) hidden states in recommenders are not observational, resulting in inaccurate estimations of difference vectors. To address the above limitations, we propose a Debiasing Learning for Membership Inference Attacks against recommender systems (DL-MIA) framework that has four main components: (1) a difference vector generator, (2) a disentangled encoder, (3) a weight estimator, and (4) an attack model. To mitigate the gap between recommenders, a variational auto-encoder (VAE) based disentangled encoder is devised to identify recommender invariant and specific features. To reduce the estimation bias, we design a weight estimator, assigning a truth-level score for each difference vector to indicate estimation accuracy. We evaluate DL-MIA against both general recommenders and sequential recommenders on three real-world datasets. Experimental results show that DL-MIA effectively alleviates training and estimation biases simultaneously, and achieves state-of-the-art attack performance., Comment: Accepted by KDD 2022

Published
2022
Full Text
View/download PDF

27. A semi-conjugate gradient method for solving unsymmetric positive definite linear systems

Author

Huang, Na, Dai, Yu-Hong, Orban, Dominique, and Saunders, Michael A

Subjects
Mathematics - Numerical Analysis, Computer Science - Data Structures and Algorithms, 15A06, 65F10, 65F25, 65F50
Abstract

The conjugate gradient (CG) method is a classic Krylov subspace method for solving symmetric positive definite linear systems. We introduce an analogous semi-conjugate gradient (SCG) method for unsymmetric positive definite linear systems. Unlike CG, SCG requires the solution of a lower triangular linear system to produce each semi-conjugate direction. We prove that SCG is theoretically equivalent to the full orthogonalization method (FOM), which is based on the Arnoldi process and converges in a finite number of steps. Because SCG's triangular system increases in size each iteration, we study a sliding window implementation (SWI) to improve efficiency, and show that the directions produced are still locally semi-conjugate. A counterexample illustrates that SWI is different from the direct incomplete orthogonalization method (DIOM), which is FOM with a sliding window. Numerical experiments from the convection-diffusion equation and other applications show that SCG is robust and that the sliding window implementation SWI allows SCG to solve large systems efficiently.

Published
2022
Full Text
View/download PDF

32. Tumor microenvironment RNA test to predict immunotherapy outcomes in advanced gastric cancer: The TIMES001 trial

Author

Shi, Min, Zeng, Dongqiang, Luo, Huiyan, Xiao, Jian, Li, Yongqiang, Yuan, Xia, Huang, Na, Wu, Jiani, Zheng, Siting, Wu, Jianhua, Li, Shaowei, Rong, Xiaoxiang, Wang, Chunlin, Jiang, Luyang, Mao, Qianqian, Qiu, Wenjun, Guo, Jian, Deng, Qiong, Sun, Huiying, Lu, Xiansheng, Yu, Yunfang, Lai, Yonghong, Fang, Yiran, Zhou, Rui, Wang, Ling, Huang, Xiatong, Kong, Yuyun, Li, Jun, Liang, Li, Bin, Jianping, Liao, Yulin, and Liao, Wangjun

Published
2024
Full Text
View/download PDF

38. Nicotinamide metabolism face-off between macrophages and fibroblasts manipulates the microenvironment in gastric cancer

Author

Jiang, Yu, Wang, Yawen, Chen, Guofeng, Sun, Fei, Wu, Qijing, Huang, Qiong, Zeng, Dongqiang, Qiu, Wenjun, Wang, Jiao, Yao, Zhiqi, Liang, Bishan, Li, Shaowei, Wu, Jianhua, Huang, Na, Wang, Yuanyuan, Chen, Jingsong, Zhai, Xiaohui, Huang, Li, Xu, Beibei, Yamamoto, Masami, Tsukamoto, Tetsuya, Nomura, Sachiyo, Liao, Wangjun, and Shi, Min

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results