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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: With many superior physical properties over conventional fluids, the low melting point liquid metal materialInspired by the Material Genome Initiative as issued in 2011 by the United States of America, a morespecific and focused project initiative was proposed in this paper—the liquid metal material genome aimedThe theoretical strategies and experimental methods in the research and development of liquid metal materialParticularly, the calculation of phase diagram (CALPHAD) approach as a highly effective way for material

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

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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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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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Robust topology optimization of multi-material lattice structures under material and load uncertainties

Yu-Chin CHAN, Kohei SHINTANI, Wei CHEN

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 2,   Pages 141-152 doi: 10.1007/s11465-019-0531-4

Abstract: Enabled by advancements in multi-material additive manufacturing, lightweight lattice structures consistingThis work proposes a density-based robust topology optimization method for meso- or macro-scale multi-materiallattice structures under any combination of material and load uncertainties.The method utilizes a new generalized material interpolation scheme for an arbitrary number of materialsExamples of a cantilever beam lattice structure under various material and load uncertainty cases exhibit

Keywords： robust topology optimization     lattice structures     multi-material     material uncertainty     load uncertainty    

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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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Thoughts on Scientific Issues in Engineering Material Research

yuqiao

Strategic Study of CAE 1999, Volume 1, Issue 3,   Pages 1-4

Abstract: Although some achievements have been accumulated in material research at home and abroad, deeper investigationsare still needed on a more precise model and state equation corresponding to the damage of a specific materialand the erosion of the space articles as well as the increase of the retreat value of the protection materialbelong to the response of materials to high speed collision.Electromagnetic materials such as radome material, infrared stealth material and EM shielding material are all EM functioning materials with EM wave of

Keywords： material for radome     wave absorbing material     infrared stealth material     EMC material    

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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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A novel approach to minimizing material loss for computer numerical control flank-regrinding of worn

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0757-z

Abstract: However, the traditional method involves material waste by trial and error and dramatically decreasesstudy presented a new approach to planning the wheel path for regrinding worn end mills to minimize materialResults showed that the proposed approach could save 25% of cutter material compared with the traditionalThis work effectively provides a general regrinding solution for the worn flank with maximum material-saving

Keywords： flank-regrinding     worn end mill     wheel position and orientation     material loss     over-cut    

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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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A MATLAB code for the material-field series-expansion topology optimization method

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 607-622 doi: 10.1007/s11465-021-0637-3

Abstract: This paper presents a MATLAB implementation of the material-field series-expansion (MFSE) topo-logy optimizationThe MFSE method uses a bounded material field with specified spatial correlation to represent the structuralWith the series-expansion method for bounded fields, this material field is described with the characteristic

Keywords： MATLAB implementation     topology optimization     material-field series-expansion method     bounded material    

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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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Title Author Date Type Operation

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

Lei WANG, Jing LIU

Journal Article

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

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

Robust topology optimization of multi-material lattice structures under material and load uncertainties

Yu-Chin CHAN, Kohei SHINTANI, Wei CHEN

Journal Article

Li Siguang and China's Big Discovery of Petroleum

Zhao Wenjing

Journal Article

Thoughts on Scientific Issues in Engineering Material Research

yuqiao

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

A novel approach to minimizing material loss for computer numerical control flank-regrinding of worn

Journal Article

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

Yang Bingru,Zhang Wei,Qian Rong

Journal Article

A MATLAB code for the material-field series-expansion topology optimization method

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