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Study on Bio-Purifying Several Gaseous Pollutants

Sun Shi,Wang Jie,Wu Xianhua,Li Xiaomei,Xu XIaoyi,Deng Futang,Zhang Wei,Lei Yanmei,Zeng Erli

Strategic Study of CAE 2007, Volume 9, Issue 1,   Pages 73-77

Abstract: purifying the 7 kinds of gaseous pollutants were confirmed and the seven kinds of special bacteria strains

Keywords： seven kinds of gaseous pollutants     biofilm-packing tower     purification of waste gas     identifying ofbacteriastrains    

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Selection and characterization of eight freshwater green algae strains for synchronous water purification

Jingjing ZHAN,Qiao ZHANG,Momei QIN,Yu HONG

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 3,   Pages 548-558 doi: 10.1007/s11783-016-0831-4

Abstract: candidate for synchronous water purification and lipid production from eight freshwater microalgae strainsThe strains sp. HQ, . , and .

Keywords： freshwater microalgae     biomass production     lipid accumulation     nutrient removal    

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Identifying spreading influence nodes for social networks

Frontiers of Engineering Management   Pages 520-549 doi: 10.1007/s42524-022-0190-8

Abstract: The identification of spreading influence nodes in social networks, which studies how to detect important individuals in human society, has attracted increasing attention from physical and computer science, social science and economics communities. The identification algorithms of spreading influence nodes can be used to evaluate the spreading influence, describe the node’s position, and identify interaction centralities. This review summarizes the recent progress about the identification algorithms of spreading influence nodes from the viewpoint of social networks, emphasizing the contributions from physical perspectives and approaches, including the microstructure-based algorithms, community structure-based algorithms, macrostructure-based algorithms, and machine learning-based algorithms. We introduce diffusion models and performance evaluation metrics, and outline future challenges of the identification of spreading influence nodes.

Keywords： complex network     network science     spreading influence     machine learning    

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The molecular epidemiological study of colistin-only-sensitive strains in multi-drug resistant Acinetobacter

YANG Li, HAN Lizhong, SUN Jingyong, NI Yuxing, YU Yunsong

Frontiers of Medicine 2007, Volume 1, Issue 4,   Pages 423-428 doi: 10.1007/s11684-007-0083-6

Abstract: clinical data of 136 COS-AB isolates from June 2004 to May 2005 and collected 66 . isolates in which 33 strains

Keywords： identical     different     teaching hospital     genotype     colistin-only-sensitive    

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PathogenTrack and Yeskit: tools for identifying intracellular pathogens from single-cell RNA-sequencing

Frontiers of Medicine 2022, Volume 16, Issue 2,   Pages 251-262 doi: 10.1007/s11684-021-0915-9

Abstract: PathogenTrack is competitive to the state-of-the-art tools such as Viral-Track, and the first tools for identifying

Keywords： scRNA-seq     intracellular pathogen     microbe     COVID-19     SARS-CoV-2    

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Approaching the upper boundary of driver-response relationships: identifying factors using a novel framework

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1676-2

Abstract:

● A novel framework integrating quantile regression with machine learning is proposed.

Keywords： Driver-response     Upper boundary of relationship     Interpretable machine learning     Quantile regression     Total phosphorus     Chlorophyll a    

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The Principle of Interaction Between Plastic Volumetric and Shear Strains for Unsaturated Soils

Wang Jingtao

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 11-15

Abstract: text-align: justify;">In this paper,  the principle of interaction between plastic volumetric and shear strainsappear in the unsaturated state of a soil besides the interaction between plastic volumetric and shear strains

Keywords： the principle of interaction between plastic volumetric and shear strains     unsaturated soil     matric suction    

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Responses of bacterial strains isolated from drinking water environments to N-acyl-L-homoserine lactones

Zhuoying WU, Qing WANG, Feng GUO, Shenghua ZHANG, Qipei JIANG, Xin YU

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 2,   Pages 205-214 doi: 10.1007/s11783-013-0492-5

Abstract: In the present study, 22 bacterial strains were isolated from drinking water-related environments.The following properties of the strains were investigated: bacterial biofilm formation capacity, QS signal

Keywords： drinking water distribution systems (DWDS)     biofilm     quorum sensing (QS)     N-acyl-L-homoserine lactones (AHLs)     (dichloromethyl)-5-hydroxy-2(5H)-furanone (MX)     2(5H)-furanone    

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Value of waist circumference, body mass index and hyperinsulinaemia in identifying metabolic syndrome

TIAN Hui, FANG Fusheng, SHAO Yinghong, LI Chunlin, LI Jian, YAN Shuangtong, ZHONG Wenwen, LI Yanyan, SUN Jingfang, CAO Xiutang, PAN Changyu, LU Juming, DOU Jingtao, MA Fangling, ZHOU Xiaoman

Frontiers of Medicine 2008, Volume 2, Issue 4,   Pages 400-405 doi: 10.1007/s11684-008-0077-z

Abstract: The combination of WC, BMI and HIns might be more helpful in identifying MS at early stage.

Keywords： mU/L     prevalence     Abnormal     dyslipidemia     computer    

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Structural health monitoring with fiber optic sensors

F. ANSARI

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2,   Pages 103-110 doi: 10.1007/s11465-009-0032-y

Abstract: Optical fiber sensors have been successfully implemented in aeronautics, mechanical systems, and medical applications. Civil structures pose further challenges in monitoring mainly due to their large dimensions, diversity and heterogeneity of materials involved, and hostile construction environment. This article provides a summary of basic principles pertaining to practical health monitoring of civil engineering structures with optical fiber sensors. The issues discussed include basic sensor principles, strain transfer mechanism, sensor packaging, sensor placement in construction environment, and reliability and survivability of the sensors.

Keywords： Bridges     structural health monitoring     smart skins     cracks     strains     displacements     fiber optic sensors     FBG    

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Improvement of the assimilable organic carbon (AOC) analytical method for reclaimed water

Xin ZHAO, Hongying HU, Shuming LIU, Feng JIANG, Xiaolei SHI, Mingtang LI, Xueqiao XU

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 4,   Pages 483-491 doi: 10.1007/s11783-013-0525-0

Abstract: various reclaimed water samples determined by P17 and NOX were compared with those determined by the new strainsIt showed that the conventional test strains were not suitable for AOC measurement of reclaimed waterG6, were selected as test strains for AOC measurement of reclaimed water.incubation temperature, incubation time and the pH of samples were evaluated for the newly selected test strainsresults of various collected samples showed the advantages of the method proposed based on those five strains

Keywords： assimilable organic carbon (AOC)     bioassay     biological stability     reclaimed water     test bacterial strains    

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Identifying subassemblies and understanding their functions during a design review in immersive and non-immersive

Fanika LUKAČEVIĆ, Stanko ŠKEC, Peter TÖRLIND, Mario ŠTORGAL

Frontiers of Engineering Management 2021, Volume 8, Issue 3,   Pages 412-428 doi: 10.1007/s42524-020-0099-z

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Identifying stakeholders’ roles and relevant project documents for 4D-based collaborative decision making

Veronika BOLSHAKOVA, Annie GUERRIERO, Gilles HALIN

Frontiers of Engineering Management 2020, Volume 7, Issue 1,   Pages 104-118 doi: 10.1007/s42524-019-0041-4

Abstract: To fully understand and effectively implement 4D building information modelling (BIM) models and methods, we need to develop a precise knowledge of which project digital documents should be used and how they influence the decision-making (DM) process. This article studies the convergence between uses of 4D BIM and digital project documents. We hypothesize that a clear visualization of the construction simulation through a 4D model is a useful source of information and a support for DM at collaborative meetings. Through this research, we continue to progress toward a new 4D-based collective decision device, so these elements will contribute to propose 4D BIM as DM support on architecture engineering construction (AEC) projects. Further, the present research will be complemented by results from questionnaires given at a later research stage. The article presents a brief review of BIM context to consider ways of fostering the implementation of all 4D BIM uses (not only visualization). It then introduces a proposition for 4D BIM uses implementation by the project development phase. It concludes by summarizing stakeholders’ roles and documents relevant to 4D BIM uses.

Keywords： BIM     4D BIM     4D BIM use     AEC project management     collaboration     decision making    

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Identifying critical factors that affect the application of information technology in construction management

Meishan JIA, Youquan XU, Pengwang HE, Lingmin ZHAO

Frontiers of Engineering Management 2022, Volume 9, Issue 2,   Pages 281-296 doi: 10.1007/s42524-020-0122-4

Abstract: different IT and devices in the construction industry or site, few articles have specifically focused on identifying

Keywords： information technology     construction management     influential factors     empirical study     DEMATEL    

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Identifying human-induced influence on microbial community: A comparative study in the effluent-receiving

Yuhan Zheng, Zhiguo Su, Tianjiao Dai, Feifei Li, Bei Huang, Qinglin Mu, Chuanping Feng, Donghui Wen

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 6, doi: 10.1007/s11783-019-1174-8

Abstract: Microbial compositions showed high differences in two study areas. COD was the key anthropogenic indicator in the coastal wastewater disposal area. Distinctive microbes capable of degrading toxic pollutants were screened. Microbial communities in effluent-receiving areas followed “niche theory”. Microbial community structure is affected by both natural processes and human activities. In coastal area, anthropegenetic activity can usually lead to the discharge of the effluent from wastewater treatment plant (WWTP) to sea, and thus the water quality chronically turns worse and marine ecosystem becomes unhealthy. Microorganisms play key roles in pollutants degradation and ecological restoration; however, there are few studies about how the WWTP effluent disposal influences coastal microbial communities. In this study, sediment samples were collected from two WWTP effluent-receiving areas (abbreviated as JX and SY) in Hangzhou Bay. First, based on the high-throughput sequencing of 16S rRNA gene, microbial community structure was analyzed. Secondly, several statistical analyses were conducted to reveal the microbial community characteristics in response to the effluent disposal. Using PCoA, the significant difference of in microbial community structure was determined between JX and SY; using RDA, water COD and temperature, and sediment available phosphate and ammonia nitrogen were identified as the key environmental factors for the community difference; using LDA effect size analysis, the most distinctive microbes were found and their correlations with environmental factors were investigated; and according to detrended beta-nearest-taxon-index, the sediment microbial communities were found to follow “niche theory”. An interesting and important finding was that in SY that received more and toxic COD, many distinctive microbes were related to the groups that were capable of degrading toxic organic pollutants. This study provides a clear illustration of eco-environmental deterioration under the long-term human pressure from the view of microbial ecology.

Keywords： Microbial community structure     Effluent-receiving area     High-throughput sequencing     Costal sediments     Wastewater treatment plant (WWTP)    

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Title Author Date Type Operation

Study on Bio-Purifying Several Gaseous Pollutants

Sun Shi,Wang Jie,Wu Xianhua,Li Xiaomei,Xu XIaoyi,Deng Futang,Zhang Wei,Lei Yanmei,Zeng Erli

Journal Article

Selection and characterization of eight freshwater green algae strains for synchronous water purification

Jingjing ZHAN,Qiao ZHANG,Momei QIN,Yu HONG

Journal Article

Identifying spreading influence nodes for social networks

Journal Article

The molecular epidemiological study of colistin-only-sensitive strains in multi-drug resistant Acinetobacter

YANG Li, HAN Lizhong, SUN Jingyong, NI Yuxing, YU Yunsong

Journal Article

PathogenTrack and Yeskit: tools for identifying intracellular pathogens from single-cell RNA-sequencing

Journal Article

Approaching the upper boundary of driver-response relationships: identifying factors using a novel framework

Journal Article

The Principle of Interaction Between Plastic Volumetric and Shear Strains for Unsaturated Soils

Wang Jingtao

Journal Article

Responses of bacterial strains isolated from drinking water environments to N-acyl-L-homoserine lactones

Zhuoying WU, Qing WANG, Feng GUO, Shenghua ZHANG, Qipei JIANG, Xin YU

Journal Article

Value of waist circumference, body mass index and hyperinsulinaemia in identifying metabolic syndrome

TIAN Hui, FANG Fusheng, SHAO Yinghong, LI Chunlin, LI Jian, YAN Shuangtong, ZHONG Wenwen, LI Yanyan, SUN Jingfang, CAO Xiutang, PAN Changyu, LU Juming, DOU Jingtao, MA Fangling, ZHOU Xiaoman

Journal Article

Structural health monitoring with fiber optic sensors

F. ANSARI

Journal Article

Improvement of the assimilable organic carbon (AOC) analytical method for reclaimed water

Xin ZHAO, Hongying HU, Shuming LIU, Feng JIANG, Xiaolei SHI, Mingtang LI, Xueqiao XU

Journal Article

Identifying subassemblies and understanding their functions during a design review in immersive and non-immersive

Fanika LUKAČEVIĆ, Stanko ŠKEC, Peter TÖRLIND, Mario ŠTORGAL

Journal Article

Identifying stakeholders’ roles and relevant project documents for 4D-based collaborative decision making

Veronika BOLSHAKOVA, Annie GUERRIERO, Gilles HALIN

Journal Article

Identifying critical factors that affect the application of information technology in construction management

Meishan JIA, Youquan XU, Pengwang HE, Lingmin ZHAO

Journal Article

Identifying human-induced influence on microbial community: A comparative study in the effluent-receiving

Yuhan Zheng, Zhiguo Su, Tianjiao Dai, Feifei Li, Bei Huang, Qinglin Mu, Chuanping Feng, Donghui Wen

Journal Article