Resource Type

Journal Article 3073

Year

2024 3

2023 163

2022 186

2021 225

2020 258

2019 227

2018 195

2017 212

2016 148

2015 156

2014 148

2013 113

2012 101

2011 98

2010 159

2009 131

2008 114

2007 154

2006 54

2005 46

open ︾

Keywords

China 27

COVID-19 26

different 19

development strategy 16

simulation 16

adsorption 15

traditional Chinese medicine 13

Deep learning 12

Machine learning 12

Artificial intelligence 11

development 10

numerical simulation 10

Gut microbiota 8

SARS-CoV-2 8

control 7

development trend 7

optimization 7

pig 7

stability 7

open ︾

Search scope:

排序： Display mode:

Li Siguang and China's Big Discovery of Petroleum

Zhao Wenjing

Strategic Study of CAE 2005, Volume 7, Issue 2,   Pages 26-34

Abstract: It pointed out, with full historical materials, that Li Siguang made irreplaceable contribution to China

Keywords： Li Siguang     China's oil resource     China's big discovery and development of petroleum    

HTML PDF Collect

scientific thinking of earthquake prediction from the miss report of Wenchuan Earthquake—re-discussing LiSiguang’s earthquake prediction thought

Zhao Wenjin

Strategic Study of CAE 2009, Volume 11, Issue 6,   Pages 4-15

Abstract:

According to the experience and problems of seismic monitoring and earthquake prediction for many years in China, it was discussed the earthquake mechanism, preliminary methods for prediction research and the mechanism and miss report of Wenchuan Earthquake, analyzed prediction precursor of short-term and impending earthquake, seismometry application limitation and ground stress transfer and track, and put forward 9 suggestions for future earthquake prediction.

Keywords： Wenchuan Earthquake     earthquake prediction     ground stress     Li Siguang    

HTML PDF Collect

Double-blockchain Assisted Secure and Anonymous Data Aggregation for Fog-enabled Smart Grid Article

Siguang Chen, Li Yang, Chuanxin Zhao, Vijayakumar Varadarajan, Kun Wang

Engineering 2022, Volume 8, Issue 1,   Pages 159-169 doi: 10.1016/j.eng.2020.06.018

Abstract:

As a future energy system, the smart grid is designed to improve the efficiency of traditional power systems while providing more stable and reliable services. However, this efficient and reliable service relies on collecting and analyzing users’ electricity consumption data frequently, which induces various security and privacy threats. To address these challenges, we propose a double-blockchain assisted secure and anonymous data aggregation scheme for fog-enabled smart grid named DA-SADA. Specifically, we design a three-tier architecture-based data aggregation framework by integrating fog computing and the blockchain, which provides strong support for achieving efficient and secure data collection in smart grids. Subsequently, we develop a secure and anonymous data aggregation mechanism with low computational overhead by jointly leveraging the Paillier encryption, batch aggregation signature and anonymous authentication. In particular, the system achieves fine-grained data aggregation and provides effective support for power dispatching and price adjustment by the designed double-blockchain and two-level data aggregation. Finally, the superiority of the proposed scheme is illustrated by a series of security and computation cost analyses.

Keywords： Blockchain     Fog computing     Homomorphic encryption     Smart grid     Anonymity    

HTML PDF Collect

Incentive-Aware Blockchain-Assisted Intelligent Edge Caching and Computation Offloading for IoT Article

Qian Wang, Siguang Chen, Meng Wu

Engineering 2023, Volume 31, Issue 12,   Pages 127-138 doi: 10.1016/j.eng.2022.10.014

Abstract:

The rapid development of artificial intelligence has pushed the Internet of Things (IoT) into a new stage. Facing with the explosive growth of data and the higher quality of service required by users, edge computing and caching are regarded as promising solutions. However, the resources in edge nodes (ENs) are not inexhaustible. In this paper, we propose an incentive-aware blockchain-assisted intelligent edge caching and computation offloading scheme for IoT, which is dedicated to providing a secure and intelligent solution for collaborative ENs in resource optimization and controls. Specifically, we jointly optimize offloading and caching decisions as well as computing and communication resources allocation to minimize the total cost for tasks completion in the EN. Furthermore, a blockchain incentive and contribution co-aware federated deep reinforcement learning algorithm is designed to solve this optimization problem. In this algorithm, we construct an incentive-aware blockchain-assisted collaboration mechanism which operates during local training, with the aim to strengthen the willingness of ENs to participate in collaboration with security guarantee. Meanwhile, a contribution-based federated aggregation method is developed, in which the aggregation weights of EN gradients are based on their contributions, thereby improving the training effect. Finally, compared with other baseline schemes, the numerical results prove that our scheme has an efficient optimization utility of resources with significant advantages in total cost reduction and caching performance.

Keywords： Computation offloading     Caching     Incentive     Blockchain     Federated deep reinforcement learning    

HTML PDF Collect

Enhanced electrokinetic remediation of chromium-contaminated soil using approaching anodes

Shucai LI, Tingting LI, Gang LI, Fengmei LI, Shuhai GUO

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 6,   Pages 869-874 doi: 10.1007/s11783-012-0437-4

Abstract: As a new technology used for the cleaning of chromium-contaminated soil, worldwide interest in eletrokinetic (EK) remediation has grown considerably in recent times. However, owing to the fact that chromium exists as both cationic and anionic species in the soil, it is not an efficient method. This paper reports upon a study in which a process using approaching anodes (AAs) was used to enhance the removal efficiency of chromium by eletrokinetics. Two bench-scale experiments to remove chromium from contaminated soil were performed, one using a fixed anode (FA) and the other using AAs. In the AAs experiment, the anode moved toward the cathode by 7 cm every three days. After remediation, soil pH, total chromium, and fractionation of chromium in the soil were determined. The average removal efficiency of total chromium was 11.32% and 18.96% in the FA and AAs experiments, respectively. After remediation, acidic soil conditions throughout the soil were generated through the use of AAs, while 80% of the soil remained neutral or alkalic when using the FA approach. The acidic soil environment and high field intensity in the AAs experiment might have favored chromium desorption, dissolution and dissociation from the soil, plus the mobility of chromium in the soil was also enhanced. The results demonstrate that AAs used in the process of EK remediation can enhance the efficiency of chromium removal from soil.

Keywords： approaching anodes     chromium-contaminated soil     electrokinetics     chromium fractionation    

HTML PDF Collect

Effects of resistin on skeletal glucose metabolism

Fang-Ping LI, Zhi-Zhen LI, Miao ZHANG, Li YAN, Zu-Zhi FU

Frontiers of Medicine 2010, Volume 4, Issue 3,   Pages 329-335 doi: 10.1007/s11684-010-0091-9

Abstract: Resistin is an adipokine highly related to insulin resistance (IR). The purpose of our research was to investigate how resistin influences skeletal glucose metabolism and explore its mechanisms. We constructed the recombinant plasmid pcDNA3.1 expressing resistin and then transfected it into C2C12 myocytes. The expression of resistin in C2C12 myocytes was detected by Western blotting. Glucose uptake was measured by H labeled glucose; glucose oxidation and glycogen synthesis was detected with C-labeled glucose. GLUT4 mRNA was measured by reverse transcription polymerase chain reaction (RT-PCR). We observed that resistin was expressed in transfected myocytes, and resistin decreased insulin induced glucose uptake rate by 28%–31% and inhibited the expression of GLUT4 mRNA. However, there was no significant difference in basal glucose uptake, and glucose oxidation and glycogen synthesis remained unchanged in all groups. It is concluded that resistin inhibits insulin induced glucose uptake in myocytes by downregulating the expression of GLUT4 and it has no effects on glucose oxidation and glycogen synthesis. Our findings may provide a clue to understand the roles of resistin in the pathogenesis of skeletal IR.

Keywords： resistin     insulin resistance     skeletal muscle    

HTML PDF Collect

Energy efficient cutting parameter optimization

Xingzheng CHEN, Congbo LI, Ying TANG, Li LI, Hongcheng LI

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 221-248 doi: 10.1007/s11465-020-0627-x

Abstract: Mechanical manufacturing industry consumes substantial energy with low energy efficiency. Increasing pressures from energy price and environmental directive force mechanical manufacturing industries to implement energy efficient technologies for reducing energy consumption and improving energy efficiency of their machining processes. In a practical machining process, cutting parameters are vital variables set by manufacturers in accordance with machining requirements of workpiece and machining condition. Proper selection of cutting parameters with energy consideration can effectively reduce energy consumption and improve energy efficiency of the machining process. Over the past 10 years, many researchers have been engaged in energy efficient cutting parameter optimization, and a large amount of literature have been published. This paper conducts a comprehensive literature review of current studies on energy efficient cutting parameter optimization to fully understand the recent advances in this research area. The energy consumption characteristics of machining process are analyzed by decomposing total energy consumption into electrical energy consumption of machine tool and embodied energy of cutting tool and cutting fluid. Current studies on energy efficient cutting parameter optimization by using experimental design method and energy models are reviewed in a comprehensive manner. Combined with the current status, future research directions of energy efficient cutting parameter optimization are presented.

Keywords： energy efficiency     cutting parameter     optimization     machining process    

HTML PDF Collect

Reactive extraction for preparation of hydrogen peroxide under pressure

CHENG Yongxi, LI Hongtao, WANG Li, LÜ Shuxiang

Frontiers of Chemical Science and Engineering 2008, Volume 2, Issue 3,   Pages 335-340 doi: 10.1007/s11705-008-0042-z

Abstract: The preparation of hydrogen peroxide from anthrahydroquinone by reactive extraction was investigated. The integration process of oxidation of anthrahydroquinone by air and extraction of hydrogen peroxide from the organic phase with water was carried out in a sieve plate column under pressure. The conversion of anthrahydroquinone increased with increasing pressure resulting in an increase of hydrogen peroxide concentration in the aqueous phase. However, no change in extraction efficiency of hydrogen peroxide was observed. A mathematical model for gas-liquid-liquid reactive extraction was established. In the model, the effects of pressure and gas superficial velocity on reaction were considered. With increasing gas superficial velocity, the conversion of anthrahydroquinone increased, and the fraction of hydrogen peroxide extracted reached a plateau with a maximum of 72.94%. However, both the conversion of anthrahydroquinone and the fraction of hydrogen peroxide extracted decreased with increasing organic phase superficial velocity.
HTML PDF Collect

Damage mechanism and evaluation model of compressor impeller remanufacturing blanks: A review

Haiyang LU, Yanle LI, Fangyi LI, Xingyi ZHANG, Chuanwei ZHANG, Jiyu DU, Zhen LI, Xueju RAN, JianfengLI, Weiqiang WANG

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 4,   Pages 402-411 doi: 10.1007/s11465-019-0548-8

Abstract: The theoretical and technological achievements in the damage mechanism and evaluation model obtained through the national basic research program “Key Fundamental Scientific Problems on Mechanical Equipment Remanufacturing” are reviewed in this work. Large centrifugal compressor impeller blanks were used as the study object. The materials of the blanks were FV520B and KMN. The mechanism and evaluation model of ultra-high cycle fatigue, erosion wear, and corrosion damage were studied via theoretical calculation, finite element simulation, and experimentation. For ultra-high cycle fatigue damage, the characteristics of ultra-high cycle fatigue of the impeller material were clarified, and prediction models of ultra-high cycle fatigue strength were established. A residual life evaluation technique based on the “ - - ” (where was the nonlinear parameter, was the Vickers hardness, and was the fatigue life) double criterion method was proposed. For erosion wear, the flow field of gas-solid two-phase flow inside the impeller was simulated, and the erosion wear law was clarified. Two models for erosion rate and erosion depth calculation were established. For corrosion damage, the electrochemical and stress corrosion behaviors of the impeller material and welded joints in H S/CO environment were investigated. (critical stress intensity factor) and d /d (crack growth rate, where is the total crack length and is time) varied with H S concentration and temperature, and their variation laws were revealed. Through this research, the key scientific problems of the damage behavior and mechanism of remanufacturing objects in the multi-strength field and cross-scale were solved. The findings provide theoretical and evaluation model support for the analysis and evaluation of large centrifugal compressor impellers before remanufacturing.

Keywords： remanufacturing     centrifugal compressor impeller     remanufacturing blank     damage mechanism     evaluation model    

HTML PDF Collect

Study on the action of resistin-induced human umbilical vein endothelial cell dysfunction

LI Zhizhen, LI Fangping, YAN Li, LI Feng, LI Yan, CHENG Hua, FU Zuzhi

Frontiers of Medicine 2007, Volume 1, Issue 2,   Pages 196-199 doi: 10.1007/s11684-007-0037-z

Abstract: The aim of this paper was to investigate the effects of resistin on human umbilical vein endothelial cells (HUVECs), and to explore its role and mechanism of action in atherosclerosis. HUVECs were incubated with recombinant human resistin (0, 50, 100 ng/mL) for 24 h. ICAM-1, VCAM-1 and reactive oxygen species (ROS) were assayed by flow cytometer. ET-1, eNOS and iNOS mRNA expression were measured by semi-quantitative RT-PCR. Incubation of HUVECs with resistin resulted in an increase in ICAM-1 expression and ET-1 mRNA expression. However, resistin had no effect on VCAM-1 expression and ROS release. eNOS and iNOS mRNA expression were not altered by resistin stimulation. Adipokine resistin exerted a direct effect in promoting HUVEC dysfunction by promoting ICAM-1 and ET-1 expression. These data suggest that adipocyteendothelium cross-talk might play an important role in the pathogenesis of cardiovascular disease in diabetes mellitus.

Keywords： endothelial     resistin stimulation     Incubation     pathogenesis     dysfunction    

HTML PDF Collect

PCDD/Fs emission, risk characterization, and reduction in China’s secondary copper production industry

Haiqian LI, Yonglong LU, Li LI

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 4,   Pages 589-597 doi: 10.1007/s11783-013-0495-2

Abstract: Secondary copper production is one of the key polychlorinated dibenzo- -dioxins and dibenzofurans (PCDD/Fs) emission sources in China, but research and data on this issue are rare. In 2004, when the Stockholm Convention entered into force in China, PCDD/Fs emissions from secondary copper production contributed to 32.2% of the total release. In this paper, PCDD/Fs emission dynamics from secondary copper industry were discussed and cumulative risks were characterized. From 2004 to 2009, industrial policies played an indirect role in PCDD/Fs reduction, but its effects are still limited. The Yangtze River Delta, Pearl River Delta and central regions were among the top three of dioxin emissions from secondary copper production in China. Shanghai, Shandong, Zhejiang, and Jiangxi had comparatively higher accumulated risk and were recommended as the priority regions for promoting PCDD/Fs emission control in China. From 2009 to 2015, the PCDD/Fs emission dynamics in the secondary copper industry were presented through simulation. PCDD/Fs emission equations were established, resulting in the recommendation of control technology conversion rate at 30% for small scale smelters and 51%–57% for large and medium-sized enterprises in 2015. In conclusion, both indirect policy and direct control technology retrofitting should be integrated for more effective PCDD/Fs emission reduction in secondary copper industry.

Keywords： polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs)     secondary copper production     emission     risk     China    

HTML PDF Collect

A reliable and practical reference objective for the deviation diagnosis of energy system parameters

Liping LI, Zheng LI,

Frontiers in Energy 2009, Volume 3, Issue 4,   Pages 440-445 doi: 10.1007/s11708-009-0051-8

Abstract: The core objective to optimize a complex energy system is to set the reference target to guide the parameter adjustment of system operation. In this paper, a new case-based approach is proposed based on an online performance assessment program and its long-term operation data for a large power unit. The online model of a coal-fired power unit’s performance assessment is demonstrated, and the distribution pattern of the performance index is revealed by statistical analysis of the abundant data. The fundamental issues (representation of the similarity of two thermal processes, similarity measure, etc.) are tackled. The key sections and key parameters for the completion of similarity determination are proposed, which are essential to realize a case-based strategy. A full-scope simulator of power unit is used to test the availability of the method. The advantage of the case-based approach is the integrality of information over other methods.

Keywords： energy system     case-based     optimization     power unit operation     performance    

HTML PDF Collect

Effect of nitrobenzene on the performance and bacterial community in an expanded granular sludge bed reactor treating high-sulfate organic wastewater

Jun Li, Wentao Li, Gan Luo, Yan Li, Aimin Li

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 1, doi: 10.1007/s11783-019-1090-y

Abstract:

Less than 50 mg/L nitrobenzene brought little effect on anaerobic sulfate reduction.

Kinetics of sulfate reduction under different nitrobenzene contents was studied.

Increased nitrobenzene contents greatly changed the bacterial community structure.

Genus Desulfovibrio played the key role in anaerobic sulfate reduction process.

Keywords： Nitrobenzene (NB)     Sulfate-reducing bacteria (SRB)     Bacterial community     Sulfate reduction     High-throughput sequencing    

HTML PDF Collect

Effects of resistin on insulin signaling in endothelial cells

Zhizhen LI, Fangping LI, Jianhong YE, Li YAN, Zuzhi FU

Frontiers of Medicine 2009, Volume 3, Issue 2,   Pages 136-140 doi: 10.1007/s11684-009-0029-2

Abstract: The objective of this study was to investigate the effects of resistin on insulin signaling in human umbilical vein endothelial cells (HUVECs). HUVECs were incubated with recombinant human resistin (0-100 ng/mL) for 24 h. Akt and endothelial nitric oxide synthase (eNOS) phosphorylation levels of endothelial cells under basal or insulin stimulated conditions were measured by Western blot. Nitric oxide (NO) production of HUVECs was also detected. The results showed that resistin could significantly inhibit Akt and eNOS phosphorylation and NO production in endothelial cells under insulin stimulated conditions ( < 0.05 control). But under basal conditions, treatment with resistin could result in a decrease in eNOS phosphorylation ( < 0.05 control) but had no effect on NO production and Akt phosphorylation levels. These findings suggested that resistin exerted an inhibitory effect on NO production by inhibiting insulin signaling and eNOS phosphorylation in endothelial cells.

Keywords： resistin     endothelium     nitric oxide     endothelial nitric oxide synthase     Akt-binding protein     mouse    

HTML PDF Collect

Ni-Co bimetallic catalyst for CH

Xiaohong LI, Jun AI, Wenying LI, Dongxiong LI

Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 4,   Pages 476-480 doi: 10.1007/s11705-010-0512-y

Abstract: A co-precipitation method was employed to prepare Ni/Al O -ZrO , Co/Al O -ZrO and Ni-Co/Al O -ZrO catalysts. Their properties were characterized by N adsorption (BET), thermogravimetric analysis TGA , temperature-programmed reduction (TPR), temperature-programmed desorption (CO -TPD), and temperature-programmed surface reaction (CH -TPSR and CO -TPSR). Ni-Co/Al O -ZrO bimetallic catalyst has good performance in the reduction of active components Ni, Co and CO adsorption. Compared with mono-metallic catalyst, bimetallic catalyst could provide more active sites and CO adsorption sites (C+ CO = 2CO) for the methane-reforming reaction, and a more appropriate force formed between active components and composite support (SMSI) for the catalytic reaction. According to the CH -CO -TPSR, there were 80.9% and 81.5% higher CH and CO conversion over Ni-Co/Al O -ZrO catalyst, and its better resistance to carbon deposition, less than 0.5% of coke after 4 h reaction, was found by TGA. The high activity and excellent anti-coking of the Ni-Co/Al O -ZrO catalyst were closely related to the synergy between Ni and Co active metal, the strong metal-support interaction and the use of composite support.

Keywords： Ni-Co bimetallic catalyst     composite support     CH4 reforming with CO2    

HTML PDF Collect

Title Author Date Type Operation

Li Siguang and China's Big Discovery of Petroleum

Zhao Wenjing

Journal Article

scientific thinking of earthquake prediction from the miss report of Wenchuan Earthquake—re-discussing LiSiguang’s earthquake prediction thought

Zhao Wenjin

Journal Article

Double-blockchain Assisted Secure and Anonymous Data Aggregation for Fog-enabled Smart Grid

Siguang Chen, Li Yang, Chuanxin Zhao, Vijayakumar Varadarajan, Kun Wang

Journal Article

Incentive-Aware Blockchain-Assisted Intelligent Edge Caching and Computation Offloading for IoT

Qian Wang, Siguang Chen, Meng Wu

Journal Article

Enhanced electrokinetic remediation of chromium-contaminated soil using approaching anodes

Shucai LI, Tingting LI, Gang LI, Fengmei LI, Shuhai GUO

Journal Article

Effects of resistin on skeletal glucose metabolism

Fang-Ping LI, Zhi-Zhen LI, Miao ZHANG, Li YAN, Zu-Zhi FU

Journal Article

Energy efficient cutting parameter optimization

Xingzheng CHEN, Congbo LI, Ying TANG, Li LI, Hongcheng LI

Journal Article

Reactive extraction for preparation of hydrogen peroxide under pressure

CHENG Yongxi, LI Hongtao, WANG Li, LÜ Shuxiang

Journal Article

Damage mechanism and evaluation model of compressor impeller remanufacturing blanks: A review

Haiyang LU, Yanle LI, Fangyi LI, Xingyi ZHANG, Chuanwei ZHANG, Jiyu DU, Zhen LI, Xueju RAN, JianfengLI, Weiqiang WANG

Journal Article

Study on the action of resistin-induced human umbilical vein endothelial cell dysfunction

LI Zhizhen, LI Fangping, YAN Li, LI Feng, LI Yan, CHENG Hua, FU Zuzhi

Journal Article

PCDD/Fs emission, risk characterization, and reduction in China’s secondary copper production industry

Haiqian LI, Yonglong LU, Li LI

Journal Article

A reliable and practical reference objective for the deviation diagnosis of energy system parameters

Liping LI, Zheng LI,

Journal Article

Effect of nitrobenzene on the performance and bacterial community in an expanded granular sludge bed reactor treating high-sulfate organic wastewater

Jun Li, Wentao Li, Gan Luo, Yan Li, Aimin Li

Journal Article

Effects of resistin on insulin signaling in endothelial cells

Zhizhen LI, Fangping LI, Jianhong YE, Li YAN, Zuzhi FU

Journal Article

Ni-Co bimetallic catalyst for CH

Xiaohong LI, Jun AI, Wenying LI, Dongxiong LI

Journal Article