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Discoverymethod for distributed denial-of-service attack behavior inSDNs using a feature-pattern graphmodel Special Feature on Future Network-Research Article

Ya XIAO, Zhi-jie FAN, Amiya NAYAK, Cheng-xiang TAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9,   Pages 1195-1208 doi: 10.1631/FITEE.1800436

Abstract: Experiments on two datasets prove the feasibility of the proposed method for attack behavior discovery

Keywords： Software-defined network     Distributed denial-of-service (DDoS)     Behavior discovery     Distance metric learning    

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HIGH-PERFORMANCE COMPUTATION AND ARTIFICIAL INTELLIGENCE IN PESTICIDE DISCOVERY: STATUS AND OUTLOOK

Frontiers of Agricultural Science and Engineering 2022, Volume 9, Issue 1,   Pages 150-154 doi: 10.15302/J-FASE-2021419

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Liquid metal material genome: Initiation of a new research track towards discovery of advanced energy

Lei WANG, Jing LIU

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 317-332 doi: 10.1007/s11708-013-0271-9

Abstract: As the basis of modern industry, the roles materials play are becoming increasingly vital in this day and age. With many superior physical properties over conventional fluids, the low melting point liquid metal material, especially room-temperature liquid metal, is recently found to be uniquely useful in a wide variety of emerging areas from energy, electronics to medical sciences. However, with the coming enormous utilization of such materials, serious issues also arise which urgently need to be addressed. A biggest concern to impede the large scale application of room-temperature liquid metal technologies is that there is currently a strong shortage of the materials and species available to meet the tough requirements such as cost, melting point, electrical and thermal conductivity, etc. Inspired by the Material Genome Initiative as issued in 2011 by the United States of America, a more specific and focused project initiative was proposed in this paper—the liquid metal material genome aimed to discover advanced new functional alloys with low melting point so as to fulfill various increasing needs. The basic schemes and road map for this new research program, which is expected to have a worldwide significance, were outlined. The theoretical strategies and experimental methods in the research and development of liquid metal material genome were introduced. Particularly, the calculation of phase diagram (CALPHAD) approach as a highly effective way for material design was discussed. Further, the first-principles (FP) calculation was suggested to combine with the statistical thermodynamics to calculate the thermodynamic functions so as to enrich the CALPHAD database of liquid metals. When the experimental data are too scarce to perform a regular treatment, the combination of FP calculation, cluster variation method (CVM) or molecular dynamics (MD), and CALPHAD, referred to as the mixed FP-CVM-CALPHAD method can be a promising way to solve the problem. Except for the theoretical strategies, several parallel processing experimental methods were also analyzed, which can help improve the efficiency of finding new liquid metal materials and reducing the cost. The liquid metal material genome proposal as initiated in this paper will accelerate the process of finding and utilization of new functional materials.

Keywords： liquid metal material genome     energy material     material discovery     advanced material     room-temperature liquid    

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An econometric investigation using price discovery theory

Yeli ZENG, Cong DONG, Mikael HÖÖK, Jinhua SUN, Danyang SHI

Frontiers in Energy 2020, Volume 14, Issue 4,   Pages 726-739 doi: 10.1007/s11708-020-0701-4

Abstract: reflect the average price level and market movements, but the market information transparency and price discovery

Keywords： liquefied natural gas     price index     Shanghai Petroleum and Gas Exchange     price discovery     market reforms    

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New Technology promotes the Discovery of the Tarim Natural Gas Province

Qiu Zhongjian

Strategic Study of CAE 2000, Volume 2, Issue 9,   Pages 38-41

Abstract: The discovery is a catalyst for the commencement of the project to transmit natural gas from the Tarim

Keywords： key technology     innovation     discovery     Tarim gas province    

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Symbolic representation based on trend features for knowledge discovery in long time series

Hong YIN,Shu-qiang YANG,Xiao-qian ZHU,Shao-dong MA,Lu-min ZHANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 9,   Pages 744-758 doi: 10.1631/FITEE.1400376

Abstract: an essential task for decision-making activities such as classification, prediction, and knowledge discoveryA time series is represented by trend symbols, which are also suitable for use in knowledge discoverybetter segmentation efficiency and classification accuracy, but also is applicable for use in knowledge discovery

Keywords： Long time series     Segmentation     Trend features     Symbolic     Knowledge discovery    

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Facile discovery of red blood cell deformation and compromised membrane/skeleton assembly in Prader–Willi

Frontiers of Medicine 2022, Volume 16, Issue 6,   Pages 946-956 doi: 10.1007/s11684-022-0962-x

Abstract: Prader–Willi syndrome (PWS) is a rare congenital disease with genetic alterations in chromosome 15. Although genetic disorders and DNA methylation abnormalities involved in PWS have been investigated to a significant degree, other anomalies such as those in erythrocytes may occur and these have not been clearly elucidated. In the present study, we uncovered slight anemia in children with PWS that was associated with increased red blood cell (RBC) distribution width (RDW) and contrarily reduced hematocrit (HCT) values. Intriguingly, the increased ratio in RDW to HCT allowed sufficient differentiation between the PWS patients from the healthy controls and, importantly, with individuals exhibiting conventional obesity. Further morphologic examinations revealed a significant deformity in erythrocytes and mild hemolysis in PWS patients. Comprehensive mechanistic investigations unveiled compromised membrane skeletal assembly and membrane lipid composition, and revealed a reduced F-actin/G-actin ratio in PWS patients. We ascribed these phenotypic changes in erythrocytes to the observed genetic defects, including DNA methylation abnormalities. Our collective data allowed us to uncover RBC deformation in children with PWS, and this may constitute an auxiliary indicator of PWS in early childhood.

Keywords： Prader–Willi syndrome     early diagnosis     erythrocyte deformation     membrane skeleton     membrane lipid    

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Discovery and repurposing of artemisinin

Frontiers of Medicine 2022, Volume 16, Issue 1,   Pages 1-9 doi: 10.1007/s11684-021-0898-6

Abstract: The discovery of artemisinin, inspired by traditional Chinese medicine (TCM), has brought in a paradigmHere, we will first review the initial discovery of artemisinin, an extraordinary journey that was in

Keywords： artemisinin     drug repurposing     cancer     inflammation     COVID-19     traditional Chinese medicine    

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Li Siguang and China's Big Discovery of Petroleum

Zhao Wenjing

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

Abstract: with full historical materials, that Li Siguang made irreplaceable contribution to China's big discovery

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

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Study on Big Data-based Behavior Modification in Metro Construction

Lie-yun Ding,Sheng-yu Guo

Frontiers of Engineering Management 2015, Volume 2, Issue 2,   Pages 131-136 doi: 10.15302/J-FEM-2015037

Abstract: , construction accidents frequently happen, which are significantly attributable to workers’ unsafe behaviorBehavior-based safety (BBS) is an effective method to modify workers’ unsafe behavior.This paper introduces the study on big data-based metro construction behavior modification, aiming toFirst, the behavior modification pushing mechanism based on content-based personalized recommendationSecondly, the development of behavior modification system of metro construction (BMSMC) is introduced

Keywords： big data     unsafe behavior     behavior modification     behavior-based safety (BBS)     unsafe behavior rate    

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Discovery for New Herbicide Sites of Action by Quantification of plant Primary Metabolite and Enzyme Perspective

Franck E. Dayan, Stephen O. Duke

Engineering 2020, Volume 6, Issue 5,   Pages 509-514 doi: 10.1016/j.eng.2020.03.004

Abstract: Two untried strategies for the discovery on new herbicide SOAs are discussed.Targeting SOAs that result in accumulation of phytotoxic compounds is the first novel approach to herbicide discoveryModern proteomic methods can identify low enzyme level SOAs for biorational herbicide discovery.These approaches might be useful in discovery of herbicides more closely related to natural compounds

Keywords： Natural products     Biorational discovery     Mode of action     Herbicide    

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Semantically condensed multi-relational frequent pattern discovery based on conjunctive query containment

Yang Bingru,Zhang Wei,Qian Rong

Strategic Study of CAE 2008, Volume 10, Issue 9,   Pages 47-53

Abstract: Multi-relational frequent pattern discovery approaches directly look for frequent patterns that involveWhile the state-of-the-art of multi-relational frequent pattern discovery approaches is based on theprogramming techniques, we propose an approach to semantically condensed multi-relational frequent pattern discovery, function, efficiency and scalability of the state-of-the-art of multi-relational frequent pattern discovery

Keywords： multi-relational data mining     frequent pattern discovery     conjunctive query     condensed pattern    

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Flow behavior of non-spherical particle flowing in hopper

He TAO,Wenqi ZHONG,Baosheng JIN

Frontiers in Energy 2014, Volume 8, Issue 3,   Pages 315-321 doi: 10.1007/s11708-014-0331-9

Abstract: Ellipsoidal particles flowing in the hopper were simulated by using the discrete element method (DEM), and described by the multi-element method. The contact detection algorithm and equations for ellipsoidal particle motion in hopper were developed. And the simulation results were confirmed by experiment. Additionally, the mass flow rate, pressure distribution and velocity distribution of two kinds of particles were examined. The results show that the mass flow rate of ellipsoidal particles is smaller than that of spherical particles. There is a maximum value of pressure drop at the top of the junction. Besides, the pressure drop decreases with the discharging time increasing. The velocity of spherical particle is larger than that of ellipsoidal.

Keywords： discrete element method     ellipsoidal particle     flow behavior     hopper    

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The Application of Artificial Intelligence Accelerates G Protein-Coupled Receptor Ligand Discovery Review

Wei Chen,Chi Song,Liang Leng,Sanyin Zhang,Shilin Chen

Engineering 2024, Volume 32, Issue 1,   Pages 19-29 doi: 10.1016/j.eng.2023.09.011

Abstract: are crucial players in various physiological processes, making them attractive candidates for drug discoveryHowever, traditional approaches to GPCR ligand discovery are time-consuming and resource-intensive.In this study, we provide guidelines for effectively utilizing AI methods for GPCR ligand discovery,First, the online resources that are instrumental in GPCR ligand discovery were summarized, includingSubsequently, the key applications of AI methods in the different stages of GPCR drug discovery were

Keywords： G protein-coupled receptor     Ligand     Artificial intelligence     Multi-omics     Drug discovery    

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A simplified method for investigating the bending behavior of piles supporting embankments on soft ground

Frontiers of Structural and Civil Engineering   Pages 1021-1032 doi: 10.1007/s11709-023-0952-3

Abstract: soil deformation mechanism and Poulos’ solution for pile–soil interaction to investigate the bending behaviorFurthermore, the effect of embedding a pile into a firm ground layer on the bending behavior was investigated

Keywords： bending behavior     pile     embankment     soil−structure interaction     failure mode    

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Title Author Date Type Operation

Discoverymethod for distributed denial-of-service attack behavior inSDNs using a feature-pattern graphmodel

Ya XIAO, Zhi-jie FAN, Amiya NAYAK, Cheng-xiang TAN

Journal Article

HIGH-PERFORMANCE COMPUTATION AND ARTIFICIAL INTELLIGENCE IN PESTICIDE DISCOVERY: STATUS AND OUTLOOK

Journal Article

Liquid metal material genome: Initiation of a new research track towards discovery of advanced energy

Lei WANG, Jing LIU

Journal Article

An econometric investigation using price discovery theory

Yeli ZENG, Cong DONG, Mikael HÖÖK, Jinhua SUN, Danyang SHI

Journal Article

New Technology promotes the Discovery of the Tarim Natural Gas Province

Qiu Zhongjian

Journal Article

Symbolic representation based on trend features for knowledge discovery in long time series

Hong YIN,Shu-qiang YANG,Xiao-qian ZHU,Shao-dong MA,Lu-min ZHANG

Journal Article

Facile discovery of red blood cell deformation and compromised membrane/skeleton assembly in Prader–Willi

Journal Article

Discovery and repurposing of artemisinin

Journal Article

Li Siguang and China's Big Discovery of Petroleum

Zhao Wenjing

Journal Article

Study on Big Data-based Behavior Modification in Metro Construction

Lie-yun Ding,Sheng-yu Guo

Journal Article

Discovery for New Herbicide Sites of Action by Quantification of plant Primary Metabolite and Enzyme

Franck E. Dayan, Stephen O. Duke

Journal Article

Semantically condensed multi-relational frequent pattern discovery based on conjunctive query containment

Yang Bingru,Zhang Wei,Qian Rong

Journal Article

Flow behavior of non-spherical particle flowing in hopper

He TAO,Wenqi ZHONG,Baosheng JIN

Journal Article

The Application of Artificial Intelligence Accelerates G Protein-Coupled Receptor Ligand Discovery

Wei Chen,Chi Song,Liang Leng,Sanyin Zhang,Shilin Chen

Journal Article

A simplified method for investigating the bending behavior of piles supporting embankments on soft ground

Journal Article