Ping Ping Li

Chinese Academy of Medical Sciences & Peking Union Medical College

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i-10 index

Research Trends

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Document Type

Co-Authors

Jin Yuan Shen

Zhengzhou University

Gang Sun

Guizhou University

Guo Lin Wang

Jiangsu University

Xi Liang Zhang

Hebei University of Engineering

Yun Feng Xu

Nanjing Hydraulic Research Institute

Ye Jie Du

Peking University

Yu Song

Northwest A&F University

Chang Shun Zhu

Jiangsu University

Peng Yu

Sun Yat-sen University

Jizhang Wang

Jiangsu University

Cooperative Institutions

Jiangsu University

Chinese Academy of Medical Sciences & Peking Union Medical College

Chinese Academy of Sciences

Central South University

Capital Medical University

Huazhong University of Science and Technology

Southeast University

Sun Yat-sen University

University of Hong Kong

Tianjin Medical University Cancer Institute and Hospital

Author Statistics

Papers

Citation

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Research Field

Expression and Functional Analysis of BjMT-2, a Metallothionein Type-2 from Brassica juncea, in E. coli

Advanced materials research (2011)

Yu Song Ping Ping Li Ye Jie Du

The expression and functional analysis of plant metallothionein type 2 from Brassica juncea were achieved in E. coli. The BjMT-2 cDNA was cloned into the pETM-20 vector fused to the Thioredoxin gene and induced to E. coli. Northern blot and SDS PAGE analysis showed, respectively, that the transcription of the TrxA::BjMT-2 fusion gene and the expression of the fusion protein were predominately in E. coli cells after IPTG induction. The BjMT-2 in the crude extraction prepared from the E. coli cells bearing TrxA::BjMT-2 vector were reacted with the antibody directed against BjMT-2. The E. coli cells exhibited an increased tolerance against Cu 2+ and Cd 2+ after BjMT-2 expression.

Metallothionein

10.4028/www.scientific.net/amr.183-185.65

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Citations (1)

Key Technology Research on Intelligent CAPP System of Automatic Machine Process

Applied Mechanics and Materials (2011)

Guang yao Cheng Ping Ping Li Zhen Qing Gao Lei Lei

The CAPP system architecture based on PDM was proposed to realize the integration of Information and function, which was built on the analysis for the processing characteristics of shaft parts of automatic machines. By proposing the multi-level parts feature information modeling and process feature information modeling, developing of automatic sequencing expert system for the shaft parts of automata, it typically realizes intelligent process planning, automatic confirming of cutting usages, automatic selection of technology resources and automatic calculation of cutting tools’ travel, working stroke and tool control parameters of CAM.

Feature (linguistics)

Information integration

Information model

Computer-aided process planning

10.4028/www.scientific.net/amm.48-49.649

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Fault Feature Extraction for Shaft System of Hydraulic Machinery Based on Wavelet Packet

Applied Mechanics and Materials (2013)

Ye Zhou Luo Ping Pan Ping Ping Li

Shaft fault is the most common fault for hydraulic machinery. In this paper, wavelet packet energy spectrum analysis method was used for multi frequency bands division of shaft monitoring signals. The variable bands frequency energy can construct feature vectors needed for fault diagnosis based on support vector machine, by integrating the procedure of wavelet packet analysis method and online monitoring technology, feature can be extracted in real time, and it make possible for real-time fault diagnosis and prediction of hydraulic machine.

Feature (linguistics)

Feature vector

10.4028/www.scientific.net/amm.437.373

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Study on Substrate Humidity, EC and Salinity In Situ Detection Technology

Applied Mechanics and Materials (2010)

Qing Yuan Sheng Ping Ping Li Xi Liang Zhang Zhi Gang Liu Li Zhao

Considering the greater character differences between matrix and soil, and the great disparity in physicochemical properties of various substrate, now there is no special equipment to test matrix moisture, electrical conductivity (EC) and salinity of medium .On the basis of analyzing physicochemical properties of various substrate, the relationship between output voltage and water content is studied through piezoelectric type soil moisture probe trial. With "voltage-current" four-terminal method, multi-parameter integrated sensor testing medium moisture and electrical conductivities developed, and through the solution calibration EC measuring model is established. Then relationships among matrix water content, electrical conductivity and salinity are analyzed, and salinity testing model is established. A portable low-cost in-situ multi-parameter detection apparatus, testing substrate humidity, EC and salinities, developed by adopting MCU SPCE06A. Experimental results indicate that detection accuracy of the equipment can meet the need of soilless culture production, and it has greater application and dissemination value.

Matrix (chemical analysis)

10.4028/www.scientific.net/amm.43.361

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Microdeletion on Xq27.1 in a Chinese VACTERL-Like Family with Kidney and Anal Anomalies.

PubMed (2024)

Min Li Yu Lan Zhang Kai Zhang Ping Ping Li Y. Lyu

10.3967/bes2024.055

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Modulation Recognition of MQAM Signals Based on Semi Supervised Clustering Theory

Applied Mechanics and Materials (2014)

Ping Ping Li Gang Sun Jin Yuan Shen

In the modulation recognition of MQAM signals cluster points of traditional clustering algorithm were not accurate, iterations of the algorithm are multiple and the curve of square error function was not smooth. To solve these problems, this paper presents a theory of modulation recognition method for reconstruction of MQAM signal constellation diagram based on semi supervised clustering, using labeled samples to guide the membership degree and the clustering center update. Analysis the receiving constellation and extracting the characteristic parameters R of constellation compared with parameter Rs of standard constellation, to realize modulation recognition of the different order of MQAM signal. The results show that the method to identify the MQAM signal at rate of 90. Convergence of iterative process is reduced from 40 to 8 times. The algorithm has low computation complexity and the square error function curve is smooth.

Constellation diagram

Modulation (music)

SIGNAL (programming language)

10.4028/www.scientific.net/amm.519-520.973

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Research Note: Study on the residue depletion of febrifugine and isofebrifugine in broiler chicken

Poultry Science (2021)

Ping Ping Li Lei Zhang Jian Ping Wang

In this study, 105 broiler chickens were fed with dietary feeds containing different contents of Dichroae Radix extract for 10 consecutive days. Then the residue depletions of its main alkaloids (febrifugine and isofebrifugine) in muscle, kidney and liver samples at different withdrawal times were determined by an ultra-performance liquid chromatography method. Results showed that the 2 alkaloids were mainly at tissue-bound formation. At withdrawal period of 0 d, their concentrations in all samples were high but decreased rapidly after 1 day of cessation (35–91%). After 5 to 7 days of cessation, their residues in muscle and kidney were not detectable, and after at least 10 days of cessation they were not detectable in liver. These results indicated that an appropriate withdrawal time for Dichroae Radix preparation was required if it is licensed as a new drug, and the best target tissue for monitoring its residue was liver.

Residue (chemistry)

Withdrawal time

Chicken Liver

10.1016/j.psj.2021.101390

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Inverting Rayleigh surface wave velocities for eastern Tibet and western Yangtze craton crustal thickness based on deep learning neural networks

Xianqiong Cheng Qihe Liu Ping Ping Li

Abstract. Crustal thickness is an important factor affecting lithosphere structure and therefore deep geodynamics. In this paper, we propose to apply deep learning neural networks called stacked sparse auto-encoder to obtain crustal thickness for eastern Tibet and western Yangtze craton. Firstly taking phase and group velocities simultaneously as input and theoretical crustal thickness as output, we construct twelve deep neural networks trained by 70,000 and tested by 30,000 theoretical models. We then invert observed phase and group velocities by these twelve neural networks. Based on test errors and misfits with other crustal thickness models, we select the optimized one as crustal thickness for study areas. Compared with other ways detected crustal thickness such as seismic wave reflection and receiver function, we conclude that deep learning neural network is a promising, believable and inexpensive tool for geophysical inversion.

Receiver function

10.5194/npg-2016-39

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Managing Pain in Patients With Cancer: The Chinese Good Pain Management Experience

Journal of Global Oncology (2016)

Shiying Yu Jiejun Wang Yuguang Huang Bing Hu Kun Wang

The number of cancer cases in China has increased rapidly from 2.1 million in 2000 to 4.3 million in 2015. As a consequence, pain management as an integral part of cancer treatment became an important health care issue. In March 2011, the Good Pain Management (GPM) program was launched to standardize the treatment of cancer pain and improve the quality of life for patients with cancer. With this work, we will describe the GPM program, its implementation experience, and highlight key lessons that can improve pain management for patients with cancer.We describe procedures for the selection, implementation, and assessment procedures for model cancer wards. We analyzed published results in areas of staff training and patient education, pain management in practice, analgesic drugs administration, and patient follow-up and satisfaction.Pain management training enabled medical staff to accurately assess the level of pain and to provide effective pain relief through timely dispensation of medication. Patients with good knowledge of treatment of pain were able to overcome their aversion to opioid drugs and cooperate with nursing staff on pain assessment to achieve effective drug dose titration. Consumption of strong opioid drugs increased significantly; however, there was no change for weaker opioids. Higher pain remission rates were achieved for patients with moderate-to-severe pain levels. Proper patient follow-up after discharge enabled improved outcomes to be maintained.The GPM program has instituted a consistent and high standard of care for pain management at cancer wards and improved the quality of life for patients with cancer.

Pain Assessment

10.1200/jgo.2016.005686

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Citations (23)

Application of the R-Function Theory and Least Square Method for Torsion Problem with H-Shaped Cross-Section

Applied Mechanics and Materials (2012)

Ping Ping Li Hong Yuan Shan Qing Li

The R-function theory and least square method are employed to solve the torsion problem of the bar with H-shaped cross-section. When the least square method is used to solve the elastic torsion problem alone, the stress function can be set to meet the boundary condition, only with the simple cross-section such as the rectangle and ellipse. For the H-shaped cross-section, it is hard to find a stress function to meet the boundary condition. The R-function theory can solve the problem, and it can be used to describe H-shaped cross-section by implicit function form. Introducing the R-function theory can be easy to construct the stress function that satisfied the boundary of H-shaped cross-section. A numerical example demonstrates the feasibility and efficiency of the present method.

Rectangle

Ellipse

Square (algebra)

10.4028/www.scientific.net/amm.217-219.2313

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