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Does environmental infrastructure investment contribute to emissions reduction? A case of China

Xiaoqian SONG, Yong GENG, Ke LI, Xi ZHANG, Fei WU, Hengyu PAN, Yiqing ZHANG

Frontiers in Energy 2020, Volume 14, Issue 1,   Pages 57-70 doi: 10.1007/s11708-019-0654-7

Abstract: However, the effect of EII on SO emission fluctuated although it still contributes to the reduction

Keywords： environmental infrastructure investment (EII)     CO2 emission     SO2 emission     PM2.5 pollution     stochastic impact by regression on population     affluence and technology (STIRPAT) model     governance    

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Advances in Fe(III) bioreduction and its application prospect for groundwater remediation: A review

Yu Jiang, Beidou Xi, Rui Li, Mingxiao Li, Zheng Xu, Yuning Yang, Shaobo Gao

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 6, doi: 10.1007/s11783-019-1173-9

Abstract: Microbial Fe(III) reduction is closely related to the fate of pollutants.Microbial Fe(III) reduction is a significant driving force for the biogeochemical cycles of C, O, P,Ligand and electron shuttle both play an important role in microbial Fe(III) reduction.bioavailability of crystalline Fe(III) (hydro)oxides and accelerate the anaerobic oxidation efficiency of the reduction

Keywords： Microbial Fe(III) reduction     Mechanism     Groundwater contamination     Remediation    

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Reduction of wastewater toxicity and change of microbial community in a hydrolysis acidification reactor

Xin Xing, Yin Yu, Hongbo Xi, Guangqing Song, Yajiao Wang, Jiane Zuo, Yuexi Zhou

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 6, doi: 10.1007/s11783-018-1055-6

Abstract:

HAP was verified to reduce the toxicity of TMP wastewater effectively.

Actual TMP wastewater was fed in HAP with different dilution ratios for 240 days.

Formaldehyde, 2-ethylacrolein, TMP and 2-ethylhexanol were all greatly removed.

Firmicutes became the dominant phylum (the abundance increased to 57.08%).

Keywords： Trimethylolpropane wastewater     Hydrolysis acidification process     Toxicity     Oxygen uptake rate     16S rDNA    

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Latent discriminative representation learning for speaker recognition Research Articles

Duolin Huang, Qirong Mao, Zhongchen Ma, Zhishen Zheng, Sidheswar Routryar, Elias-Nii-Noi Ocquaye,2211708034

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 5,   Pages 615-766 doi: 10.1631/FITEE.1900690

Abstract: Extracting discriminative speaker-specific representations from speech signals and transforming them into fixed length vectors are key steps in speaker identification and verification systems. In this study, we propose a method for . We mean that the learned representations in this study are not only discriminative but also relevant. Specifically, we introduce an additional speaker embedded lookup table to explore the relevance between different utterances from the same speaker. Moreover, a reconstruction constraint intended to learn a is introduced to make representation discriminative. Experimental results demonstrate that the proposed method outperforms state-of-the-art methods based on the Apollo dataset used in the Fearless Steps Challenge in INTERSPEECH2019 and the TIMIT dataset.

Keywords： 说话人识别；潜在可区分性表征学习；说话人嵌入查找表；线性映射矩阵    

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Erratum to: Latent discriminative representation learning for speaker recognition Erratum

Duolin Huang, Qirong Mao, Zhongchen Ma, Zhishen Zheng, Sidheswar Routray, Elias-Nii-Noi Ocquaye,2211708034

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 6,   Pages 914-914 doi: 10.1631/FITEE.19e0690

Abstract: Unfortunately the fifth author’s name was mis-spelt. It should be Sidheswar ROUTRAY.
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A surrogate-based optimization algorithm for network design problems Article

Meng LI, Xi LIN, Xi-qun CHEN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1693-1704 doi: 10.1631/FITEE.1601403

Abstract: Network design problems (NDPs) have long been regarded as one of the most challenging problems in the field of transportation planning due to the intrinsic non-convexity of their bi-level programming form. Furthermore, a mixture of continuous/discrete decision variables makes the mixed network design problem (MNDP) more complicated and difficult to solve. We adopt a surrogate-based optimization (SBO) framework to solve three featured categories of NDPs (continuous, discrete, and mixed-integer). We prove that the method is asymptotically completely convergent when solving continuous NDPs, guaranteeing a global optimum with probability one through an indefinitely long run. To demonstrate the practical performance of the proposed framework, numerical examples are provided to compare SBO with some existing solving algorithms and other heuristics in the literature for NDP. The results show that SBO is one of the best algorithms in terms of both accuracy and efficiency, and it is efficient for solving large-scale problems with more than 20 decision variables. The SBO approach presented in this paper is a general algorithm of solving other optimization problems in the transportation field.

Keywords： Network design problem     Surrogate-based optimization     Transportation planning     Heuristics    

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Reconfigurable manufacturing systems: Principles, design, and future trends

Yoram KOREN, Xi GU, Weihong GUO

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 121-136 doi: 10.1007/s11465-018-0483-0

Abstract:

Reconfigurable manufacturing systems (RMSs), which possess the advantages of both dedicated serial lines and flexible manufacturing systems, were introduced in the mid-1990s to address the challenges initiated by globalization. The principal goal of an RMS is to enhance the responsiveness of manufacturing systems to unforeseen changes in product demand. RMSs are cost-effective because they boost productivity, and increase the lifetime of the manufacturing system. Because of the many streams in which a product may be produced on an RMS, maintaining product precision in an RMS is a challenge. But the experience with RMS in the last 20 years indicates that product quality can be definitely maintained by inserting in-line inspection stations. In this paper, we formulate the design and operational principles for RMSs, and provide a state-of-the-art review of the design and operations methodologies of RMSs according to these principles. Finally, we propose future research directions, and deliberate on how recent intelligent manufacturing technologies may advance the design and operations of RMSs.

Keywords： reconfigurable manufacturing systems     responsiveness     intelligent manufacturing    

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Biosorption of Cd

Fengyu ZAN, Shouliang HUO, Beidou XI, Xiulan ZHAO

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 1,   Pages 51-58 doi: 10.1007/s11783-011-0206-9

Abstract: The biosorption of Cd and Cu onto the immobilized ( ) was investigated in this study. Adsorption kinetics, isotherms and the effect of pH were studied. The results indicated that the biosorption of Cd and Cu on the immobilized was fast at initial stage and then became slow. The maximum biosorption of heavy metal ions on immobilized were observed at pH 4 for Cd and Cu . by the pseudo-second-order model described the sorption kinetic data well according to the high correlation coefficient ( ) obtained. The biosorption isotherm was fitted well by the Langmuir model, indicating possible mono-layer biosorption of Cd and Cu on the immobilized . Moreover, the immobilized after the sorption of Cd and Cu could be regenerated and reused.

Keywords： Saccharomyces cerevisiae (S. cerevisiae)     biosorption     heavy metals     immobilization     desorption    

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Boundary conditions for axisymmetric piezoelectric cylinder

Baosheng ZHAO, Di WU, Xi CHEN

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4,   Pages 401-408 doi: 10.1007/s11465-013-0272-8

Abstract:

For axisymmetric piezoelectric cylinder, the reciprocal theorem and the axisymmetric general solution of piezoelasticity are applied in a novel way to obtain the appropriate stress and mixed boundary conditions accurate to all orders for the cylinder of general edge geometry and loadings. A decay analysis technique developed by Gregory and Wan is converted into necessary conditions on the end-data of axisymmetric piezoelectric circular cylinder, and the rapidly decaying solution is established. The prescribed end-data of the circle cylinder must satisfy these conditions in order that they could generate a decaying state within the cylinder. When stress and mixed conditions are imposed on the end of cylinder, these decaying state conditions for the case of axisymmetric deformation of piezoelectric cylinder are derived explicitly. They are then used for the correct formulation of boundary conditions for the theory solution (or the interior solution) of axisymmetric piezoelectric cylinder. The results of the present paper enable us to establish a set of correct boundary conditions, most of which are obtained for the first time.

Keywords： solid and structures     the axisymmetric deformation     the piezoelectric circular cylinder     the refined theory     Bessel’s Function    

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Seismic performance of viaducts with probabilistic method

ZHU Xi, WANG Jianmin

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 3,   Pages 267-273 doi: 10.1007/s11709-007-0034-y

Abstract: Due to the uncertainty of both ground motions and structural capacity, it is necessary to consider the seismic performance of viaduct structures using the probabilistic method. The risk is quantified by a procedure on the basis of a numerical determination of the fragility curves. A group of ground motions, Large Magnitude-Short Distance Bin (LMSR-N), selected specially due to its response spectra, is accorded well with the corresponding spectra of the Chinese code for seismic design. The characteristic values of the curvature ductility factors for the serviceability and the damage control limit states are obtained, and two equations for estimating the characteristic values of the curvature ductility factors are developed through regression analysis. Then, the serviceability and damage control limit states were proposed. Three damage states were constituted according the results of the experiment by Pacific Earthquake Engineering Research (PEER) Center. The analytical fragility curves were obtained specifically, using both Capacity Spectrum Method (CSM) (non-linear static) analysis and Ineremental Dynamic Method (IDM) (non-linear dynamic) analysis, respectively, in this paper. The structural fragility curves developed by CSM method can help make the structural analysis simple and quick, avoiding the implementation of the dynamic response history analysis (RHA). Although the dynamic RHA requires a lot of complicated analysis for the structure, the results from RHA are reliable and accurate. Fragility curves are powerful tools for use in performance-based seismic bridge design.

Keywords： uncertainty     Earthquake Engineering     regression analysis     accurate     fragility    

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Chinese Academy of Engineering released

Xu Wang, Jiao Zhang, Xi Lu, Xia Huang

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 4, doi: 10.1007/s11783-020-1257-6

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Autophagy and the nutritional signaling pathway

Long HE,Shabnam ESLAMFAM,Xi MA,Defa LI

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 3,   Pages 222-230 doi: 10.15302/J-FASE-2016106

Abstract: During their growth and development, animals adapt to tremendous changes in order to survive. These include responses to both environmental and physiological changes and autophagy is one of most important adaptive and regulatory mechanisms. Autophagy is defined as an autolytic process to clear damaged cellular organelles and recycle the nutrients via lysosomic degradation. The process of autophagy responds to special conditions such as nutrient withdrawal. Once autophagy is induced, phagophores form and then elongate and curve to form autophagosomes. Autophagosomes then engulf cargo, fuse with endosomes, and finally fuse with lysosomes for maturation. During the initiation process, the ATG1/ULK1 (unc-51-like kinase 1) and VPS34 (which encodes a class III phosphatidylinositol (PtdIns) 3-kinase) complexes are critical in recruitment and assembly of other complexes required for autophagy. The process of autophagy is regulated by autophagy related genes (ATGs). Amino acid and energy starvation mediate autophagy by activating mTORC1 (mammalian target of rapamycin) and AMP-activated protein kinase (AMPK). AMPK is the energy status sensor, the core nutrient signaling component and the metabolic kinase of cells. This review mainly focuses on the mechanism of autophagy regulated by nutrient signaling especially for the two important complexes, ULK1 and VPS34.

Keywords： Autophagy     ULK1 complex     VPS34 complex     AMPK     mTOR     nutrient signaling    

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Electrocatalytic reduction of NO to NH in ionic liquids by P-doped TiO nanotubes

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 6,   Pages 726-734 doi: 10.1007/s11705-022-2274-8

Abstract: Designing advanced and cost-effective electrocatalytic system for nitric oxide (NO) reduction reactionNoteworthy, the obtained performance metrics are significantly larger than those for N2 reduction

Keywords： nitric oxide reduction reaction     electrcatalysis     ammonia production     phosphorus-doped titania    

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New experimental technique to determine coal self-ignition duration

ZHANG Xinhai, XI Guang, ZHANG Xinhai

Frontiers in Energy 2008, Volume 2, Issue 4,   Pages 479-483 doi: 10.1007/s11708-008-0058-6

Abstract: An artificial neural network (ANN) model was adopted to simulate the relationship between self-ignition duration and sulfur content, ash content, oxygen consumption rate, carbon monoxide as well as carbon dioxide generation rate of coal at different temperatures of self heating process. The data from spontaneous combustion experiments were used for ANN training to obtain the connection strength between nerve cells. An oil-bath programmed temperature experiment device was designed and the experimental condition and the size of the test tube were determined for testing the oxygen consumption and the gases generation rate of coal during self-heating process. The sulfur content, the ash content and the data from the oil-bath experiment were taken as ANN inputs to calculate the experiment self-ignition duration of coal. Compared with spontaneous combustion experiment, less than 1% of coal sample and 10% of time are required with an error of less than 3 days to test self-ignition duration of coal.
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Preparation and characterization of lithium

Chang WANG,Yanlong ZHAI,Xi WANG,Ming ZENG

Frontiers of Chemical Science and Engineering 2014, Volume 8, Issue 4,   Pages 471-477 doi: 10.1007/s11705-014-1449-3

Abstract: Lithium -MnO ion-sieves were prepared from spinel LiMn O via treatment with nitric acid. The LiMn O was synthesized by a solid state reaction between LiOH·H O and MnO . The effects of the calcination time and temperature on the preparation of the LiMn O precursor and the lithium ion-sieve were investigated. In addition, the Li extraction ratio, the Mn dissolving ratio and the adsorption properties of the lithium ion-sieve were all measured. The lithium ion-sieve had a high exchange capacity and was selective for Li . Specifically, at pH= 13, the ion exchange capacity of Li was 30.9 mg/g in 10 mmol/L LiCl solution and the lithium extraction ratio and manganese dissolving ratio were 95% and 25%, respectively.

Keywords： lithium ion-sieve     solid state reaction     adsorption     LiMn2O4    

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Title Author Date Type Operation

Does environmental infrastructure investment contribute to emissions reduction? A case of China

Xiaoqian SONG, Yong GENG, Ke LI, Xi ZHANG, Fei WU, Hengyu PAN, Yiqing ZHANG

Journal Article

Advances in Fe(III) bioreduction and its application prospect for groundwater remediation: A review

Yu Jiang, Beidou Xi, Rui Li, Mingxiao Li, Zheng Xu, Yuning Yang, Shaobo Gao

Journal Article

Reduction of wastewater toxicity and change of microbial community in a hydrolysis acidification reactor

Xin Xing, Yin Yu, Hongbo Xi, Guangqing Song, Yajiao Wang, Jiane Zuo, Yuexi Zhou

Journal Article

Latent discriminative representation learning for speaker recognition

Duolin Huang, Qirong Mao, Zhongchen Ma, Zhishen Zheng, Sidheswar Routryar, Elias-Nii-Noi Ocquaye,2211708034

Journal Article

Erratum to: Latent discriminative representation learning for speaker recognition

Duolin Huang, Qirong Mao, Zhongchen Ma, Zhishen Zheng, Sidheswar Routray, Elias-Nii-Noi Ocquaye,2211708034

Journal Article

A surrogate-based optimization algorithm for network design problems

Meng LI, Xi LIN, Xi-qun CHEN

Journal Article

Reconfigurable manufacturing systems: Principles, design, and future trends

Yoram KOREN, Xi GU, Weihong GUO

Journal Article

Biosorption of Cd

Fengyu ZAN, Shouliang HUO, Beidou XI, Xiulan ZHAO

Journal Article

Boundary conditions for axisymmetric piezoelectric cylinder

Baosheng ZHAO, Di WU, Xi CHEN

Journal Article

Seismic performance of viaducts with probabilistic method

ZHU Xi, WANG Jianmin

Journal Article

Chinese Academy of Engineering released

Xu Wang, Jiao Zhang, Xi Lu, Xia Huang

Journal Article

Autophagy and the nutritional signaling pathway

Long HE,Shabnam ESLAMFAM,Xi MA,Defa LI

Journal Article

Electrocatalytic reduction of NO to NH in ionic liquids by P-doped TiO nanotubes

Journal Article

New experimental technique to determine coal self-ignition duration

ZHANG Xinhai, XI Guang, ZHANG Xinhai

Journal Article

Preparation and characterization of lithium

Chang WANG,Yanlong ZHAI,Xi WANG,Ming ZENG

Journal Article