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Chemical mapping of cement pastes by using confocal Raman spectroscopy

Fengjuan LIU,Zhihui SUN

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 2,   Pages 168-173 doi: 10.1007/s11709-015-0323-9

Abstract: In the present study, chemical mapping on the hydration process of cement paste with water-to-cementIt is concluded from the study that chemical mapping was an effective method to assist in visualizing

Keywords： chemical mapping     Raman spectroscopy     calcium silicates     calcium hydroxide     ettringite    

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Independent continuous and mapping method of structural topology optimization based on the global stress

Yunkang SUI, Jili FENG, Hongling YE, Xirong PENG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 130-142 doi: 10.1007/s11465-010-0011-3

Abstract: four measures are adopted. 1) Topology optimization model is established by independent continuous mapping

Keywords： independent continuous mapping (ICM) method     global stresses constraints     topology optimization     continuum    

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A survey of photon mapping state-of-the-art research and future challenges

Chun-meng KANG,Lu WAN,Yan-ning XU,Xiang-xu MENG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 185-199 doi: 10.1631/FITEE.1500251

Abstract: The photon mapping algorithm is an effective method for computing global illumination with its obviousThe deficiency of precise details and efficient rendering are still the main challenges of photon mappingof categories including radiance estimation, photon relaxation, photon tracing, progressive photon mappingThe goals of our report are giving readers an overall introduction to photon mapping and motivating further

Keywords： Global illumination     Photon mapping     Radiance estimation     Photon relaxation     Progressive photon mapping    

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and future research directions for the phytoremediation of heavy metal-contaminated soil: A knowledge mapping

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 6, doi: 10.1007/s11783-021-1507-2

Abstract:

• The overall global perspective of the PHMCS field was obtained.

Keywords： Heavy metal-contaminated soil     Hot topics     Knowledge mapping analysis     Knowledge base     Phytoremediation    

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Electromagnetic induction mapping at varied soil moisture reveals field-scale soil textural patterns

Hiruy ABDU, David A. ROBINSON, Janis BOETTINGER, Scott B. JONES

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 2,   Pages 135-145 doi: 10.15302/J-FASE-2017143

Abstract: Our objective was to employ electromagnetic induction (EMI) mapping in low apparent electrical conductivity

Keywords： soil electrical conductivity     soil texture mapping     temporal stability analysis    

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Quantifying and mapping spatial variability of Shanghai household carbon footprints

Shangguang YANG,Chunlan WANG,Kevin LO,Mark WANG,Lin LIU

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 115-124 doi: 10.1007/s11708-015-0348-8

Abstract: Understanding the spatial variability of household carbon emissions is necessary for formulating sustainable and low-carbon energy policy. However, data on household carbon emissions is limited in China, the world’s largest greenhouse gases emitter. This study quantifies and maps household carbon emissions in Shanghai using a city-wide household survey. The findings reveal substantial spatial variability in household carbon emissions, especially in transport-related emissions. Low emission clusters are founded in Hongkou, Xuhui, Luwan, Jinshan, and Fengxian. High emission clusters are located in Jiading and Pudong. Overall, the spatial pattern of household carbon emissions in Shanghai is donut-shaped: lowest in the urban core, increasing in the surrounding suburban areas, and declining again in the urban fringe and rural regions. The household emissions are correlated with a number of housing and socioeconomic factors, including car ownership, type of dwelling, size of dwelling, age of dwelling, and income. The findings underscore the importance of a localized approach to low-carbon policy-making and implementation.

Keywords： household carbon emissions     spatial variability     energy policy     Shanghai     China    

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Mapping the structure-activity relationship of

Worawan PANPIPAT, Hasene KESKIN, Zheng GUO

Frontiers of Chemical Science and Engineering 2015, Volume 9, Issue 1,   Pages 105-113 doi: 10.1007/s11705-015-1502-x

Abstract: The phase behavior of twelve synthesized -sitosteryl fatty acid esters with acyl moieties with different chain lengths (C2:0-C18:0) and different degrees of unsaturation (C18:1-C18:3) were investigated in pure and mixed Langmuir monolayers with phospholipids. The surface-pressure isotherms showed that short chain -sitosteryl fatty acid esters gave smaller mean molecular areas and had decreased monolayer stability and the long chain steryl esters did not produce collapsed plateaus. All the steryl esters displayed strong condensing effects, but there was a pronounced structural dependency: medium chain esters (C8 and C10) were less efficient than short and long chain esters. Atomic force microscopy imaging demonstrated that monolayers mixed with dipalmitoyl phosphatidylcholine (DPPC) displayed both DPPC-rich and steryl lipid-rich domains. However, the height and area differences between the two phases and the roughness and morphologic patterns were very dependent on the steryl lipid concentrations as well as the length, the degree of unsaturation and the molecular conformations of the acyl segments. These findings not only provide a better understanding of the interactions between phytosteryl hydrophobic derivatives and biomembranes, but also may be of general use for the design and engineering of phytosterol structural derivations for specific food and pharmaceutical applications.

Keywords： β-sitosteryl fatty acid esters     dipalmitoyl phosphatidylcholine     Langmuir monolayer     condensing effect     structure-activity relationship    

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Mapping the trends and prospects of battery cathode materials based on patent landscape

Frontiers in Energy   Pages 822-832 doi: 10.1007/s11708-023-0900-x

Abstract: Advancing portable electronics and electric vehicles is heavily dependent on the cutting-edge lithium-ion (Li-ion) battery technology, which is closely linked to the properties of cathode materials. Identifying trends and prospects of cathode materials based on patent analysis is considered a kernel to optimize and refine battery related markets. In this paper, a patent analysis is performed on 6 popular cathode materials by comprehensively considering performance comparison, development trend, annual installed capacity, technology life cycle, and distribution among regions and patent assignees. In the technology life cycle, the cathode materials majorly used in electric vehicle have entered maturity stage, while the lithium cobalt oxide (LCO) cathode that is widely used in portable electronics is still in the growth stage. In global patent distributions, China holds more than 50% of total patents. In the top 10 patent assignees of 6 cathode materials, 2 institutes are from China with the rest being Japan (6) and Republic of Korea (2), indicating that the technology of cathode materials in China is relatively scattered while cathode research is highly concentrated in Japan and Republic of Korea. Moreover, the patent distribution has to consider practical issues as well as the impacts of core patents. For example, the high cost discourages the intention of applying international patents. This paper is expected to stimulate battery research, understand technical layout of various countries, and probably forecast innovative technology breakthroughs.

Keywords： patent analysis     cathode     batteries     technology life cycle    

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Study on Family Collection, Gene Mapping, Gene Identification and Gene Function of Human Genetic Diseases

Xia Jiahui

Strategic Study of CAE 2000, Volume 2, Issue 11,   Pages 1-11

Abstract:

In this paper, the study on family collection, gene mapping, gene identification and gene function

Keywords： genetic disease     gene mapping and cloning     gene familiy-candidate disease gene cloning     genome wide scan    

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A Co-Point Mapping-Based Approach to Drivable Area Detection for Self-Driving Cars Article

Ziyi Liu,Siyu Yu,Nanning Zheng

Engineering 2018, Volume 4, Issue 4,   Pages 479-490 doi: 10.1016/j.eng.2018.07.010

Abstract: Similar to the bijection of collineation, a new concept called co-point mapping, which is a bijection

Keywords： Drivable area     Self-driving     Data fusion     Co-point mapping    

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Multi-resolution texture synthesis from turntable image sequences

Xuedong WANG, Xiaojun WU, Xiaorong ZHANG

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1,   Pages 72-80 doi: 10.1007/s11465-012-0305-8

Abstract:

Texture synthesis and texture mapping are important technologies for rendering realistic three-dimensional

Keywords： texture synthesis     multi-resolution     texture map     texture mapping    

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State-of-the-Art Review of High-Throughput Statistical Spatial-Mapping Characterization Technology and Review

Haizhou Wang, Lei Zhao, Yunhai Jia, Dongling Li, Lixia Yang, Yuhua Lu, Guang Feng, Weihao Wan

Engineering 2020, Volume 6, Issue 6,   Pages 621-636 doi: 10.1016/j.eng.2020.05.005

Abstract: Highthroughput statistical spatial-mapping uses a series of rapid characterization techniques for analysisThe high-throughput statistical spatial-mapping characterization technology has been applied to numerous

Keywords： Material heterogeneity     High-throughput characterization     Statistical spatial-mapping     Original-position    

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Intrinsic feature extraction using discriminant diffusion mapping analysis for automated tool wear evaluation None

Yi-xiang HUANG, Xiao LIU, Cheng-liang LIU, Yan-ming LI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1352-1361 doi: 10.1631/FITEE.1601512

Abstract: extraction; (2) intrinsic dimensionality estimation; (3) feature fusion implementation through feature space mapping

Keywords： Tool condition monitoring     Manifold learning     Dimensionality reduction     Diffusion mapping analysis     Intrinsic    

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Feature extraction of hyperspectral images for detecting immature green citrus fruit

Yongjun DING, Won Suk LEE, Minzan LI

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 4,   Pages 475-484 doi: 10.15302/J-FASE-2018241

Abstract:

At an early immature growth stage of citrus, a hyperspectral camera of 369–1042 nm was employed to acquire 30 hyperspectral images in order to detect immature green fruit within citrus trees under natural illumination conditions. First, successive projections algorithm (SPA) were implemented to select 677, 804, 563, 962, and 405 nm wavebands and to construct multispectral images from the original hyperspectral images for further processing. Then, histogram threshold segmentation using NDVI of 804 and 677 nm was implemented to remove image backgrounds. Three slope parameters, calculated from the pairs 405 and 563 nm, 563 and 677 nm, and 804 and 962 nm were used to construct a classifier to identify the potential citrus fruit. Then, a marker-controlled watershed segmentation based on wavelet transform was applied to obtain potential fruit areas. Finally, a green fruit detection model was constructed according to Grey Level Co-occurrence Matrix (GLCM) texture features of the independent areas. Three supervised classifiers, logistic regression, random forest and support vector machine (SVM) were developed using texture features. The detection accuracies were 79%, 75%, and 86% for the logistic regression, random forest, and SVM models, respectively. The developed algorithm showed a great potential for identifying immature green citrus for an early yield estimation.

Keywords： hyperspectral     green citrus     image processing     fruit detection     precision agriculture     yield mapping    

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FUNCTIONAL GAIN OF FRUIT NETTED-CRACKING IN AN INTROGRESSION LINE OF TOMATO WITH HIGHER EXPRESSION OF THE FNC GENE

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 2,

Abstract:

Fruit cracking is a major disorder that affects the integrity of fruit and reduces the commercial value of tomato and other fleshy fruit. Here, we have found a novel fruit ‘netted-cracking’ (FNC) phenotype in tomato introgression line IL4-4 which is present in neither the donor parent (LA0716) nor the receptor parent (M82). An F2 population was generated by crossing IL4-4 with M82 to genetically characterize the FNC gene and this showed that a single dominant gene determined fruit netted-cracking. Further map-based cloning narrowed down the FNC locus to a 230 kb region on chromosome 4. Sequencing and annotation analysis show that FNC(Solyc04 g082540) was the most likely candidate gene. Functional characterization of FNC by overexpressing FNCAC and FNCIL4-4resulted in the fruit netted-cracking phenotype, suggesting that the FNC transcript level results in the functional gain of fruit netted-cracking. These findings were further confirmed by FNC ortholog in netted-cracking pepper and melon, indicating a common regulatory mechanism in different plant species. Furthermore, cytoplasm and nucleus-localized FNC indicates increased expression of genes involved in suberin, lignin, lipid transport and cell wall metabolism. These findings provide novel genetic insights into fruit netted-cracking and offer a way to promote molecular improvement toward cracking resistant cultivars.

 

Keywords： fine mapping / fruit netted-cracking / introgression line / transcript level    

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Title Author Date Type Operation

Chemical mapping of cement pastes by using confocal Raman spectroscopy

Fengjuan LIU,Zhihui SUN

Journal Article

Independent continuous and mapping method of structural topology optimization based on the global stress

Yunkang SUI, Jili FENG, Hongling YE, Xirong PENG,

Journal Article

A survey of photon mapping state-of-the-art research and future challenges

Chun-meng KANG,Lu WAN,Yan-ning XU,Xiang-xu MENG

Journal Article

and future research directions for the phytoremediation of heavy metal-contaminated soil: A knowledge mapping

Journal Article

Electromagnetic induction mapping at varied soil moisture reveals field-scale soil textural patterns

Hiruy ABDU, David A. ROBINSON, Janis BOETTINGER, Scott B. JONES

Journal Article

Quantifying and mapping spatial variability of Shanghai household carbon footprints

Shangguang YANG,Chunlan WANG,Kevin LO,Mark WANG,Lin LIU

Journal Article

Mapping the structure-activity relationship of

Worawan PANPIPAT, Hasene KESKIN, Zheng GUO

Journal Article

Mapping the trends and prospects of battery cathode materials based on patent landscape

Journal Article

Study on Family Collection, Gene Mapping, Gene Identification and Gene Function of Human Genetic Diseases

Xia Jiahui

Journal Article

A Co-Point Mapping-Based Approach to Drivable Area Detection for Self-Driving Cars

Ziyi Liu,Siyu Yu,Nanning Zheng

Journal Article

Multi-resolution texture synthesis from turntable image sequences

Xuedong WANG, Xiaojun WU, Xiaorong ZHANG

Journal Article

State-of-the-Art Review of High-Throughput Statistical Spatial-Mapping Characterization Technology and

Haizhou Wang, Lei Zhao, Yunhai Jia, Dongling Li, Lixia Yang, Yuhua Lu, Guang Feng, Weihao Wan

Journal Article

Intrinsic feature extraction using discriminant diffusion mapping analysis for automated tool wear evaluation

Yi-xiang HUANG, Xiao LIU, Cheng-liang LIU, Yan-ming LI

Journal Article

Feature extraction of hyperspectral images for detecting immature green citrus fruit

Yongjun DING, Won Suk LEE, Minzan LI

Journal Article

FUNCTIONAL GAIN OF FRUIT NETTED-CRACKING IN AN INTROGRESSION LINE OF TOMATO WITH HIGHER EXPRESSION OF THE FNC GENE

Journal Article