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Nitrification performance of nitrifying bacteria immobilized in waterborne polyurethane at low ammonia nitrogen concentrations

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Journal of Environmental Sciences 2011年第3期23卷 366-371页

作者： Yamei Dong Zhenjia Zhang Yongwei Jin zhirong li Jian Lu School of Environmental Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China School of Civil and Environmental Engineering Georgia Institute of Technology Atlanta GA 30332 USA

Suspended and waterborne polyurethane immobilized nitrifying bacteria have been adopted for evaluating the effects of environmental changes, such as temperature, dissolved oxygen （DO） concentration and pH, on nitrification characteristics under conditions of low ammonia concentrations. The results showed that nitrification was prone to complete with increasing pH, DO and temperature. Sensitivity analysis demonstrated the effects of temperature and pH on nitrification feature of suspended bacteria were slightly greater than those of immobilized nitrifying bacteria. Immobilized cells could achieve complete nitrification at low ammonia concentrations when DO was sufficient. Continuous experiments were carried out to discuss the removal of ammonia nitrogen from synthetic micropollute source water with the ammonia concentration of about 1mg/L using immobilized nitrifying bacteria pellets in an up-flow inner circulation reactor under different hydraulic retention times （HRT）. The continuous removal rate remains above 80% even under HRT 30 min. The results verified that the waterborne polyurethane immobilized nitrifying bacteria pellets had great potential applications for micro-pollution source water treatment.

关键词： nitrification characteristics waterborne polyurethane immobilized nitrifying bacteria low ammonia concentrations micro-polluted source water

Studies of layout of world machine tools industry based on patent analysis

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High Technology Letters 2013年第3期19卷 246-253页

作者：张涛 Zhang Xu li zhirong Zhao Yunhua Zhou lijuan Institute of Scientific and Technical Information of China

As the foundation of an industrialized country nowadays,machine tools industry is regarded as the engine of industrial development of a *** developed countries,such as USA,Germany and Japan,have widely deployed the technology of using the patent in order to keep their strength in various *** research examins the CNC machine tools industry in the world by using the patent analysis *** first gives an overview about the world patent application in CNC machine tools industry from 1963 to 2010 and divides the development of the industry into five *** also lists the patent application of the world top 20 countries,where the top 5 countries are *** patents of the world top 10 companies of machine tools manufacturers are mapped according to the international patent classification(IPC),and the future trends of world machine tools industry are *** conclusions and suggestions are presented.

关键词： machine tools industry computerized numerical control (CNC) machine tools patent analysis international patent classification (IPC) development trends

A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

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Frontiers of Environmental Science & Engineering 2023年第2期17卷 97-110页

作者： Zhengheng Pu Jieru Yan Lei Chen zhirong li Wenchong Tian Tao Tao Kunlun Xin College of Environmental Science and Engineering Tongji UniversityShanghai 200092China Smart Water Joint Innovation RD Center Tongji UniversityShanghai 200092China

Short-term water demand forecasting provides guidance on real-time water allocation in the water supply network, which help water utilities reduce energy cost and avoid potential accidents. Although a variety of methods have been proposed to improve forecast accuracy, it is still difficult for statistical models to learn the periodic patterns due to the chaotic nature of the water demand data with high temporal resolution. To overcome this issue from the perspective of improving data predictability, we proposed a hybrid Wavelet-CNN-LSTM model, that combines time-frequency decomposition characteristics of Wavelet Multi-Resolution Analysis (MRA) and implement it into an advanced deep learning model, CNN-LSTM. Four models - ANN, Conv1D, LSTM, GRUN - are used to compare with Wavelet-CNN-LSTM, and the results show that Wavelet-CNN-LSTM outperforms the other models both in single-step and multi-steps prediction. Besides, further mechanistic analysis revealed that MRA produce significant effect on improving model accuracy.

关键词： Short-term water demand forecasting Long-short term memory neural network Convolutional Neural Network Wavelet multi-resolution analysis Data-driven models

Synthetic damage effect assessment through evidential reasoning approach and neural fuzzy inference:Application in ship target

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Chinese Journal of Aeronautics 2022年第8期35卷 143-157页

作者： Tianle YAO Run MIAO Weili WANG zhirong li Jun DONG Yajuan GU Xuefei YAN Ordnance Engineering College Naval University of EngineeringWuhan 430000China Xi’an Modern Chemistry Research Institute Xi'an 710065China Department of Equipment Command and Management Army Engineering UniversityShijiazhuang 050003China Institute of Systems Engineering Academy of Military ScienceBeijing 100082China

The damage effect assessment of anti-ship missiles combines system science and weapon science,which can provide reference for the assessment of battlefield damage *** order to solve the difficulty of heterogeneous data aggregation and the difficulty in constructing the mapping between factors and damage effect,this paper analyzes the specific damage process of the anti-ship missile to the ship,and proposes a synthetic Evidential Reasoning(ER)–Adaptive Neural Fuzzy Inference System(ANFIS)to assess the damage *** solve the problem of fuzziness and uncertainty of criteria in the assessment process,the belief structure model is used to transform qualitative and quantitative information into a unified mathematical structure,and ER algorithm is used to fuse the information of lower-level *** order to solve the problem of fuzziness and uncertainty of the information contained in the first-level variables,and the strong non-linear characteristics of the mapping between first-level variables and damage effect,the ANFIS with selfadaptation and self-learning is *** map between the three first-level variables and damage effect is established,and the interaction process of the various factors in the damage effect assessment are *** analysis shows that assessment model has good *** result analysis and comparative analysis show that the process proposed in this paper can effectively assess the damage effect of anti-ship missiles,and all criteria data are objective and comparable.

关键词： ANFIS Belief structure model Damage effect assessment ER approach Ship target

The Application of LMD and BP Neural Network in Gear Fault Diagnosis

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The Application of LMD and BP Neural Network in Gear Fault D...

Prostaglandin E_1 in conjunction with high doses of vitamin B_(12) improves nerve conduction velocity of patients with diabetic peripheral neuropathy

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作者： zhirong li Zhou Wan Xin Xiong Xingzhi liao Faculty of Information Engineering and Automation Kunming University of Science and Technology

ISBN: (纸本)9781467355322

For time-domain energy messages conveyed by vibration signals of different types of gear fault are different, a method based on local mean decomposition （LMD） and neural network is proposed to apply to gear fault diagnosis. The vibration signal of gear which is mainly considered as the research object in this paper is decomposed into a series of product functions （PF） by LMD method. Then a further analysis is performed by selecting the PF components which contain main fault information, the energy feature parameters of the selected PF components form a feature vector which is considered as the input data of the neural network. The BP neural network is trained and used for fault identification. Then gear fault diagnosis is ultimately realized. Through the analysis of gear with normal state, wear fault and teeth broken, the results show that LMD method can decompose the complex non-stationary signal into a number of PF components whose frequency is from high to low, the method has an adaptive feature. And the method based on LMD and neural network has a higher fault recognition rate than the method based on wavelet packet analysis and neural network.

关键词： Gear Fault diagnosis LMD Neural network

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Neural Regeneration Research 2008年第5期3卷 529-532页

作者： Jilai li zhirong Wan Department of Neurology Beijing Hangtian Central Hospital Beijing 100049 China

BACKGROUND： Prostaglandin El improves diabetic peripheral neuropathy in symptoms and sensory threshold. Vitamin Bi and methyl-vitamin BI2 improve microcirculation to peripheral nerve tissue and promote neurotrophy. OBJECTIVE： To observe motor nerve and sensory nerve conduction velocity in patients with diabetic peripheral neuropathy, prior to and after treatment with prostaglandin El, vitamin B I and different doses of vitamin B 12. DESIGN, TIME AND SETTING： Randomized, controlled experiment, performed at the Department of Neurology, Beijing Hantian Central Hospital, between February 2002 and September 2007. PARTICIPANTS： A total of 122 patients with type 2 diabetic peripheral neuropathy; 73 males and 49 females were included. All patients met the diagnostic criteria of diabetes mellitus, as determined by the World Health Organization in 1999 and 2006, and also the diagnostic criteria of diabetic peripheral neuropathy. For each subject, conduction disorders in the median nerve and in the common peroneal nerve were observed using electromyogram. Also, after diet and drug treatment, the blood glucose level of subjects was observed to be at a satisfactory level for more than two weeks, and the symptoms of diabetic peripheral neuropathy were not alleviated. METHODS： All patients were randomly divided into the following three groups. A control group （n = 40）, in which, 100 mg vitamin B1 and 500 μg vitamin BI2 were intramuscularly injected. A vitamin B12 low-dose treated group （ n = 42）, in which 10 μ g prostaglandin E1 in 250 mL physiological saline was intravenously injected once a day and 100 mg vitamin BI and 500 11 g vitamin BI2 was intramuscularly injected once a day. Lastly, a vitamin B12 high-dose treated group （n = 40）, in which administration was the same as in the vitamin B12 low-dose treated group, except that 500 11 g vitamin BI2 was replaced by 1mg vitamin B12. Administration was performed for four weeks for each group. MAIN OUTCOME MEASURES： The motor nerve

关键词： prostaglandin EG vitamin B 12 diabetes mellitus diabetic peripheral neuropathy

Analysis of the relationship between bile duct and duodenal microbiota reveals that potential dysbacteriosis is the main cause of primary common bile duct stones

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Synthetic and Systems Biotechnology 2021年第4期6卷 414-428页

作者： Zhitang Lyu Tingting Yu lichao Zhang Xiaona Xu Yijun Zhang Jihong li zhirong li Wei Zhang Senlin Hou School of life Sciences Institute of Life Science and Green DevelopmentHebei UniversityBaodingPR China The Second Hospital of Hebei Medical University ShijiazhuangPR China Key Laboratory of Microbial Diversity Research and Application of Hebei Province BaodingPR China Engineering Laboratory of Microbial Breeding and Preservation of Hebei Province BaodingPR China

Bacteria play an important role in the formation of primary Common Bile Duct(CBD)***,the composition and function of the microbiota of bile duct in patients with primary CBD stones remained to be *** utilized the 16S rRNA gene high-throughput sequencing technology to analyze the microbial diversity and community composition of biliary and duodenal microbiota in 15 patients with primary CBD stones and 4 patients without biliary tract *** diversity analysis showed that the microbiota richness was similar in bile and intestinal fluid;Beta diversity analysis showed that there were differences in the composition between biliary microbiota and the duodenal microbiota,but the abundance of the main groups showed *** composition of the biliary microbiota from gallstone patients was more complex,as was the duodenal *** and Firmicutes were the dominant bacteria at phylum level,accounting for at least 75%of the total reads in each *** and Escherichia􀀀Shigella were the major genus among subgroups,but Escherichia-Shigella had increased abundance in duodenal microbiota with primary choledocholithiasis,which may play an important role in stone *** is noteworthy that Clostridiumsensu_stricto,Lachnospiraceae_UCG-008,Butyrivibrio and Roseburia which could produce short chain fatty acids(SCFAs),were significantly decreased in biliary microbiota with primary CBD stones(pliary *** micro-ecology of biliary and duodenal in patients with stones is complex and closely related,and there is a potential for *** decrease in abundance of certain major acid-producing bacteria affects the health of the biliary tract and thus leads to the formation of stones.

关键词： Primary common bile duct stones ERCP Dysbacteriosis Bile duct microbiota Duodenal microbiota 16S rRNA gene high-throughput sequencing Short chain fatty acids

High resolution 3D nonlinear integrated inversion

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Applied Geophysics 2009年第2期6卷 159-165页

作者： li Yong Wang Xuben li zhirong li Qiong li Zhengwen Key Lab of Earth Exploration ＆ Information Technology Chengdu University of Technology Chengdu 610059 China CNPC Chuanqing Drilling Engineering Company Limited Sichuan Geophysical Company Chengdu 610213 China

The high resolution 3D nonlinear integrated inversion method is based on nonlinear theory. Under layer control, the log data from several wells （or all wells） in the study area and seismic trace data adjacent to the wells are input to a network with multiple inputs and outputs and are integratedly trained to obtain an adaptive weight function of the entire study area. Integrated nonlinear mapping relationships are built and updated by the lateral and vertical geologic variations of the reservoirs. Therefore, the inversion process and its inversion results can be constrained and controlled and a stable seismic inversion section with high resolution with velocity inversion, impedance inversion, and density inversion sections, can be gained. Good geologic effects have been obtained in model computation tests and real data processing, which verified that this method has high precision, good practicality, and can be used for quantitative reservoir analysis.

关键词： high resolution integrated inversion network with multiple input and output hybrid intelligent learning algorithm

Antibacterial activity evaluation of a novel K3-specific phage against Acinetobacter baumannii and evidence for receptor-binding domain transfer across morphologies

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Virologica Sinica 2024年第5期39卷 767-781页

作者： Xiangkuan Zheng Meihan liu Pei li Sixiang Xu Long Chen Guoxin Xu Xiaoxiao Pang Hong Du Yishan zheng Xiang Huo Zhongming Tan Juan li zhirong li Wei Zhang College of Veterinary Medicine Nanjing Agricultural UniversityKey Lab of Animal BacteriologyMinistry of Agriculture and Rural AffairsNanjing210095China Department of Clinical Laboratory Zhangjiagang Hospital Affiliated to Soochow UniversityZhangjiagang215600China Department of Clinical Laboratory The Second Affiliated Hospital of Soochow UniversitySuzhou215004China Intensive Care Unit The Second Hospital of NanjingNanjing University of Chinese MedicineNanjing210003China Jiangsu Provincial Center for Disease Prevention and Control Nanjing210009China National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing102206China Provincial Center for Clinical Laboratories The Second Hospital of Hebei Medical UniversityShijiazhuang050000China

Acinetobacter baumannii(***)poses a serious public health challenge due to its notorious antimicrobial resistance,particularly carbapenem-resistant ***(CRAB).In this study,we isolated a virulent phage,named P1068,from medical wastewater capable of lysing CRAB,primarily targeting the K3 capsule *** characterization showed that P1068 infected the *** ZWAb014 with an optimal MOI of 1,experienced a latent period of 10 min and maintained stability over a temperature range of 4–37C and pH range of 3–*** and average nucleotide identity analyses indicate that P1068 can be classified as a novel species within the genus Obolenskvirus of the Caudoviricetes class as per the most recent virus classification released by the International Committee on Taxonomy of Viruses(ICTV).Additionally,according to classical morphological classification,P1068 is identified as a T4-like phage(Myoviridae).Interestingly,we found that the tail fiber protein(TFP)of P1068 shares 74%coverage and 88.99%identity with the TFP of a T7-like phage(Podoviridae),AbKT21phiIII(NC_048142.1).This finding suggests that the TFP gene of phages may undergo horizontal transfer across different genera and *** vitro antimicrobial assays showed that P1068 exhibited antimicrobial activity against *** in both biofilm and planktonic *** mouse models of intraperitoneal infection,P1068 phage protected mice from *** infection and significantly reduced bacterial loads in various tissues such as the brain,blood,lung,spleen,and liver compared to *** conclusion,this study demonstrates that phage P1068 might be a potential candidate for the treatment of carbapenem-resistant and biofilmforming *** infections,and expands the understanding of horizontal transfer of phage TFP genes.

关键词： Phage A.baumannii Carbapenem-resistant Capsule type Tail fiber protein Antibacterial activity