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1. Construction of the Traditional Chinese Medicine external nursing treatment outpatient clinic based on the Guo Hailing Traditional Chinese Medicine Nursing Inheritance Studio (基于'郭海玲中医护理传承工作室'中医护理外治门诊的构建)

Author

GAO Ning (高宁), GUO Hailing (郭海玲), KOU Jialiang (寇嘉靓), SU Xiaonan (苏小南), ZHAO Pei (赵培), ZHENG Liping (郑莉萍), WANG Fang (王芳), LIU Hongxin (刘红鑫), SUN Yanhui (孙艳慧), YANG Meijie (杨梅洁), JIA Xue (贾雪), MA Zeyun (马泽云), CHANG Yan (常燕), and TIAN Runxi (田润溪)

Subjects
tradition chinese medicine nursing, outpatient service, inheritance, 中医护理, 门诊, 传承, Nursing, RT1-120
Abstract

Traditional Chinese Medicine (TCM) nursing clinic is an advanced nursing practice with Chinese characteristics. It takes the overall view of TCM and the principle, uses the characteristics of TCM nursing technology to meet the diversified health needs of patients, and plays a unique advantage in disease prevention and health care. TCM nursing clinic is able to improve patient satisfaction, broaden the scope of nursing services and enhance the professional level nursing. However, in the process of its development, there are also bottlenecks such as prescription right, inability to follow, and weak discipline development. The construction of Traditional Chinese Medicine Nursing Inheritance Studio is effective to drive the development of disciplines, develop the inheritance of TCM nursing, and realize mutual promotion and mutual development. (中医护理门诊是一种具有中国特色的高级护理实践模式, 其以中医的整体观和辨证施护为原则, 运用中医特色护理技术, 满足患者多元化的健康需求, 在疾病预防保健中发挥着独特优势。中医护理门诊能够提升患者满意度, 拓宽护理工作服务范围, 提升护理专业化水平。但是其发展过程中也有处方权、无法可依、学科发展薄弱等瓶颈, 中医护理传承工作室的建设, 可以有效带动学科发展, 发成中医护理传承, 实现相互促进相互发展。)

Published
2023
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2. Discussion on standardization of Traditional Chinese Medicine nursing appropriate Technology based on Traditional Chinese Medicine nursing inheritance (基于中医护理传承构建标准化中医护理适宜技术)

Author

LIU Hongxin (刘红鑫), GUO Hailing (郭海玲), TIAN Runxi (田润溪), WANG Fang (王芳), GAO Ning (高宁), ZHENG Liping (郑莉萍), LI Yufeng (李玉凤), and YU Liying (于丽英)

Subjects
traditional chinese medicine nursing, nursing inheritance, appropriate technology of traditional chinese medicine nursing, evidence-based nursing, 中医护理, 护理传承, 中医护理适宜技术, 循证护理, Nursing, RT1-120
Abstract

The appropriate technology of Traditional Chinese Medicine (TCM) nursing is an important part of TCM. Based on the deeply understanding Professor Guo Hailing 's academic thought of " inherit traditional Chinese medicine nursing with love, evidence-based innovation and development of teaching", evidence-based nursing methods was used to standardize TCM nursing appropriate technology and promote it to clinical practice. It can help to provide basis for clinical optimization of TCM nursing appropriate technology and provide efficient nursing mode for patients. At the same time, to cultivate high-level TCM nursing talents with evidence-based thinking and nursing practice ability. (中医护理适宜技术是中医学的一个重要组成部分, 深入领会郭海玲教授“仁爱传承中医护理, 教学循证创新发展”的学术思想, 培养具备循证思维和护理实践能力的高层次中医护理人才, 运用循证护理方法构建中医护理适宜技术的标准化, 提升中医护理水平, 为临床优化中医护理适宜技术提供依据, 为患者提供高效的护理模式。)

Published
2023
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3. Analysis on nursing culture and connotation in Shiji Yaoyu (《侍疾要语》中护理文化及内涵探析)

Author

ZHENG Liping (郑莉萍), GUO Hailing (郭海玲), TIAN Runxi (田润溪), WANG Fang (王芳), GAO Ning (高宁), and Liu Hongxin (刘红鑫)

Subjects
shiji yaoyu, traditional chinese medicine nursing, emotion care, medication guidance, 侍疾要语, 中医护理, 情志护理, 用药指导, Nursing, RT1-120
Abstract

Shiji Yaoyu contains a wealth of nursing ideas and has laid the foundation of Traditional Chinese Medicine nursing. This article discusses the modern nursing ideology of Shiji Yaoyu from four aspects, including psychological care, life care, disease observation, drug care and nurse competency, in order to enrich the modern nursing thought and promote Chinese medicine nursing culture excavation, inheritance and development. (《侍疾要语》蕴含了丰富的护理学思想, 对中医护理学发展具有重要意义。本文从情志护理、起居护理、病情观察、用药护理、护理人员素养等方面探析《侍疾要语》 的现代护理学思想, 以充实现代护理学思想, 助力中医护理文化的挖掘、传承和发扬。)

Published
2023
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4. Construction of Guo Hailing Traditional Chinese Medicine Nursing Inheritance Studio ('郭海玲中医护理传承工作室'建设经验)

Author

TIAN Runxi (田润溪), GUO Hailing (郭海玲), ZHENG Liping (郑莉萍), WANG Fang (王芳), CHENG Na (程娜), LIU Hongxin (刘红鑫), and GAO Ning (高宁)

Subjects
traditional chinese medicine nursing, chinese medicine specialist nurse, training and management, talent training, nursing education, 中医护理, 中医专科护士, 管理, 人才培养, 护理教育, Nursing, RT1-120
Abstract

This paper summarized the construction objectives, working contents and implementation plan of Guo Hailing Traditional Chinese Medicine Nursing Inheritance Studio, put forward the outlook and suggestions for the training of Traditional Chinese Medicine nursing team, and provided reference for strengthening the construction of Traditional Chinese Medicine nursing culture, building a high-quality team of Traditional Chinese medicine nursing talents, and promoting the high-quality development of Traditional Chinese Medicine nursing. (本文梳理“郭海玲中医护理传承工作室”建设目标、工作内容、工作室实施方案, 提出对中医护理队伍培养的展望与建议, 旨在加强中医护理文化建设, 建设高素质中医护理人才队伍, 推动中医护理高质量发展。)

Published
2023
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5. Four seasons health care based on Siqi Tiaoshen Dalun of Traditional Chinese Medicine (《素问·四气调神大论》之四季养生中医护理研读思想体会)

Author

WANG Fang (王芳), GUO Hailing (郭海玲), TIAN Runxi (田润溪), ZHENG Liping (郑莉萍), GAO Ning (高宁), LIU Hongxin (刘红鑫), LIU Wenjing (刘文静), and NIU Jiamin (牛佳敏)

Subjects
huangdi neijing, traditional chinese medicine nursing, health preservation, diet, 黄帝内经, 中医护理, 养生, 饮食, Nursing, RT1-120
Abstract

Siqi Tiaoshen Dalun is an important part of Traditional Chinese Medicine (TCM) healthcare thought, discussing the physiological and psychological changes of the human and its relationship with seasonal changes. Theoretical principle and practical application of health preservation in four seasons were demonstrated in Siqi Tiaoshen Dalun, which plays an important role in guiding the prevention of diseases and keeping physical fitness in modern life. (《素问·四气调神大论》从四季论述了人与自然相对应的生理及心理变化, 讲述了四季不同的养生原则, 对中医养生及现代疾病预防、强身健体的发展起到了重要的指导作用。)

Published
2023
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6. Multi-Center Study on Deep Learning-Assisted Detection and Classification of Fetal Central Nervous System Anomalies Using Ultrasound Imaging

Author

Qi, Yang, Cai, Jiaxin, Lu, Jing, Xiong, Runqing, Chen, Rongshang, Zheng, Liping, and Ma, Duo

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition
Abstract

Prenatal ultrasound evaluates fetal growth and detects congenital abnormalities during pregnancy, but the examination of ultrasound images by radiologists requires expertise and sophisticated equipment, which would otherwise fail to improve the rate of identifying specific types of fetal central nervous system (CNS) abnormalities and result in unnecessary patient examinations. We construct a deep learning model to improve the overall accuracy of the diagnosis of fetal cranial anomalies to aid prenatal diagnosis. In our collected multi-center dataset of fetal craniocerebral anomalies covering four typical anomalies of the fetal central nervous system (CNS): anencephaly, encephalocele (including meningocele), holoprosencephaly, and rachischisis, patient-level prediction accuracy reaches 94.5%, with an AUROC value of 99.3%. In the subgroup analyzes, our model is applicable to the entire gestational period, with good identification of fetal anomaly types for any gestational period. Heatmaps superimposed on the ultrasound images not only provide a visual interpretation for the algorithm but also provide an intuitive visual aid to the physician by highlighting key areas that need to be reviewed, helping the physician to quickly identify and validate key areas. Finally, the retrospective reader study demonstrates that by combining the automatic prediction of the DL system with the professional judgment of the radiologist, the diagnostic accuracy and efficiency can be effectively improved and the misdiagnosis rate can be reduced, which has an important clinical application prospect.

Published
2025

7. Chlorido-(2,2′-(ethane-bis(5-methoxyphenolato))-κ4 N,N′,O,O′)manganese(III) monohydrate, C19H18Cl2CuN2O2

Author

Zheng Liping, Wang Jialu, Jiao Haolong, Meng Licha, and Qiao Yongfeng

Subjects
2113130, Physics, QC1-999, Crystallography, QD901-999
Abstract

C19H18Cl2CuN2O2, monoclinic, C2/c (No. 15), a = 21.010(3) Å, b = 11.3886(15) Å, c = 7.9578(10) Å, β = 100.725(4)°, V = 1870.8(4) Å3, Z = 4, R gt(F) = 0.0331, wR ref(F 2) = 0.1077, T = 170.0 K.

Published
2022
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8. GSDiff: Synthesizing Vector Floorplans via Geometry-enhanced Structural Graph Generation

Author

Hu, Sizhe, Wu, Wenming, Wang, Yuntao, Xu, Benzhu, and Zheng, Liping

Subjects
Computer Science - Graphics, Computer Science - Computer Vision and Pattern Recognition
Abstract

Automating architectural floorplan design is vital for housing and interior design, offering a faster, cost-effective alternative to manual sketches by architects. However, existing methods, including rule-based and learning-based approaches, face challenges in design complexity and constrained generation with extensive post-processing, and tend to obvious geometric inconsistencies such as misalignment, overlap, and gaps. In this work, we propose a novel generative framework for vector floorplan design via structural graph generation, called GSDiff, focusing on wall junction generation and wall segment prediction to capture both geometric and semantic aspects of structural graphs. To improve the geometric rationality of generated structural graphs, we propose two innovative geometry enhancement methods. In wall junction generation, we propose a novel alignment loss function to improve geometric consistency. In wall segment prediction, we propose a random self-supervision method to enhance the model's perception of the overall geometric structure, thereby promoting the generation of reasonable geometric structures. Employing the diffusion model and the Transformer model, as well as the geometry enhancement strategies, our framework can generate wall junctions, wall segments and room polygons with structural and semantic information, resulting in structural graphs that accurately represent floorplans. Extensive experiments show that the proposed method surpasses existing techniques, enabling free generation and constrained generation, marking a shift towards structure generation in architectural design. Code and data are available at https://github.com/SizheHu/GSDiff.

Published
2024

18. The anode oxidation reaction in fuel cell: A DFT study

Author

Ye Chenqing, Xie Yichun, Zheng Liping, Lin Yuxiang, Guo Weixiang, and Qi Xueqiang

Subjects
Environmental sciences, GE1-350
Abstract

Although fuel cell (FC) has been regarded as promising “green” power generator, the Pt-based catalysts in the FC hampered their further development for its high cost and scarcity. Direct methanol fuel cell (DMFC) as another kind of proton exchange membrane fuel cell (PEMFC) has been manifested that Pd also performs a certain activity for methanol oxidation reaction (MOR). To better know the mechanism of MOR, we present a DFT study on the first step reaction of MOR on the Pd(111). The results show that methanol prefers to physically adsorb on the Pd(111) through oxygen atom, while the dehydrogenated hydrogen atoms can adsorb either on face-cantered cubic (FCC) or hexagonal close packed (HCP) sites. The intermediate products will form a much stronger interaction with the Pd(111) since they contain more unsaturated bonds. The energy barrier of O-H bond scission is most favourable, while the C-O bond is unfavourable in the first step of MOR.

Published
2021
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19. Research On Technological Utilizing in an Automatic Device for Collecting Rain and Snow in Qinghai Province, China

Author

Long Mingtao, Hu Luyao, Yang Jiaquan, Hu Yongjun, Wang Zihan, Zheng Liping, and Kang Beiming

Subjects
Environmental sciences, GE1-350
Abstract

Based on the climatic conditions in the northwest and the widely used water storage method in the northwest rural areas, we designed a rain and snow collection device, which is realized by an inductor and an “M” collection curtain, which uses the rotation of the motor and the supply of the heating film. Water purification and storage can be obtained through compound grit tanks, biochar adsorption systems, etc. The collected water resources can be integrated with water purification and storage through flood control and antifreeze devices. Real-time senses the changes of water level and water temperature. In this article, a calculation model for the optimal sedimentation effect is also established, which can calculate the minimum scale parameters of the sedimentation tank under different weather conditions, and provide guidance for the construction of the system. In addition, we tested the actual collection capacity of the system, and the results showed that the system has high practical value. At present, there is no a complete and systematic study integrated with it in the Northwest region. This system can alleviate the lack of water resources in some areas to a certain extent, play a positive role in the rural ecological environment and lessen flood

Published
2021
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22. 5G Mobile Communication Development Trend and Several Key Technologies

Author

Zheng Liping

Subjects
Engineering (General). Civil engineering (General), TA1-2040
Abstract

The overall performance of 5G mobile communication network has made great progress compared with 4G network. In order to ensure the expected utility of 5G communication system in practical application, this paper will focus on the future development trend of this communication system and its research on key technologies involved in the application process to provide theoretical support to relevant practitioners.

Published
2018
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38. SRA-LSTM: Social Relationship Attention LSTM for Human Trajectory Prediction

Author

Peng, Yusheng, Zhang, Gaofeng, Shi, Jun, Xu, Benzhu, and Zheng, Liping

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract

Pedestrian trajectory prediction for surveillance video is one of the important research topics in the field of computer vision and a key technology of intelligent surveillance systems. Social relationship among pedestrians is a key factor influencing pedestrian walking patterns but was mostly ignored in the literature. Pedestrians with different social relationships play different roles in the motion decision of target pedestrian. Motivated by this idea, we propose a Social Relationship Attention LSTM (SRA-LSTM) model to predict future trajectories. We design a social relationship encoder to obtain the representation of their social relationship through the relative position between each pair of pedestrians. Afterwards, the social relationship feature and latent movements are adopted to acquire the social relationship attention of this pair of pedestrians. Social interaction modeling is achieved by utilizing social relationship attention to aggregate movement information from neighbor pedestrians. Experimental results on two public walking pedestrian video datasets (ETH and UCY), our model achieves superior performance compared with state-of-the-art methods. Contrast experiments with other attention methods also demonstrate the effectiveness of social relationship attention., Comment: Submitted to Neural Computing and Applications

Published
2021

47. Local and Global Feature Interaction Network for Endoscope Image Classification

Author

Dong, Zhengqi, Xu, Benzhu, Shi, Jun, Zheng, Liping, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Lu, Huchuan, editor, Ouyang, Wanli, editor, Huang, Hui, editor, Lu, Jiwen, editor, Liu, Risheng, editor, Dong, Jing, editor, and Xu, Min, editor

Published
2023
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