Resource Type

Journal Article 118

Year

2023 9

2022 10

2021 4

2020 7

2019 11

2018 8

2017 4

2016 7

2015 8

2014 2

2013 1

2012 4

2011 3

2010 2

2009 5

2008 4

2007 10

2006 5

2005 2

2004 3

open ︾

Keywords

empirical study 4

Machine learning 2

/metallocene polyethylene 1

1 1

33-days stabilization 1

4-naphthoquinone derivatives 1

Cynoglossus semilaevis 1

Tripterygium wilfordii Hook F 1

Action mechanism 1

Adsorption 1

Air pollution exposure 1

Air-to-ground channel 1

Anesthesia 1

Answer set programming (ASP) 1

Antibacterial 1

Artificial intelligence 1

BIM-based project management 1

Banana pseudostem 1

Bayesian inference 1

open ︾

Search scope:

排序： Display mode:

A Bayesian modeling approach to bi-directional pedestrian flows in carnival events

S. Q. XIE, S. C. WONG, William H. K. LAM

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 483-489 doi: 10.15302/J-FEM-2017023

Abstract: Bi-directional pedestrian flows are common at crosswalks, footpaths, and shopping areas. However, the properties of pedestrian movement may vary in urban areas according to the type of walking facility. In recent years, crowd movements at carnival events have attracted the attention of researchers. In contrast to pedestrian behavior in other walking facilities, pedestrians whose attention is attracted by carnival displays or activities may slow down and even stop walking. The Lunar New Year Market is a traditional carnival event in Hong Kong held annually one week before the Lunar New Year. During the said event, crowd movements can be easily identified, particularly in Victoria Park, where the largest Lunar New Year Market in Hong Kong is hosted. In this study, we conducted a video-based observational survey to collect pedestrian flow and speed data at the Victoria Park Lunar New Year Market on the eve of the Lunar New Year. Using the collected data, an extant mathematical model was calibrated to capture the relationships between the relevant macroscopic quantities, thereby providing insight into pedestrian behavior at the carnival event. Bayesian inference was employed to calibrate the model by using prior data obtained from a previous controlled experiment. Results obtained enhance our understanding of crowd behavior under different conditions at carnival events, thus facilitating the improvement of the safety and efficiency of similar events in the future.

Keywords： pedestrian flow model     bi-directional interactions     empirical studies     Bayesian inference    

HTML PDF Collect

Prediction of the theoretical and semi-empirical model of ambient temperature

Foued CHABANE,Noureddine MOUMMI,Abdelhafid BRIMA,Abdelhafid MOUMMI

Frontiers in Energy 2016, Volume 10, Issue 3,   Pages 268-276 doi: 10.1007/s11708-016-0413-y

Abstract: It is well known that the ambient temperature is a sensitive parameter which has a great effect on biology, technology, geology and even on human behavior. A prediction is a statement about an uncertain event. It is often, but not always, based upon experience or knowledge. Although guaranteed accurate information about the future is in many cases impossible, prediction can be useful to assist in making plans about possible developments. As a result, temperature profiles can be developed which accurately represent the expected ambient temperature exposure that this environment experiences during measurement. The ambient temperature over time is modeled based on the previous and data and using a Lagrange interpolation. To observe the comprehensive variation of ambient temperature the profile must be determined numerically. The model proposed in this paper can provide an acceptable way to measure the change in ambient temperature.

Keywords： ambient temperature     environment     correlation     theoretical model     semi-empirical    

HTML PDF Collect

Detection of schedule delay risk of empirical construction projects

Tsegay GEBREHIWET, Hanbin LUO

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 251-267 doi: 10.15302/J-FEM-2018086

Abstract: Although several studies have been focused on the various effects of risk in construction projects, limited

Keywords： fuzzy analytic hierarchy process comprehensive evaluation     construction project     detection of delay risk     relative important index    

HTML PDF Collect

Relative vibration identification of cutter and workpiece based on improved bidimensional empirical mode

Jiasheng LI, Xingzhan LI, Wei WEI, Pinkuan LIU

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 2,   Pages 227-239 doi: 10.1007/s11465-020-0587-1

Abstract: In this study, the bidimensional empirical mode decomposition (BEMD) method is used to identify such

Keywords： bidimensional empirical mode decomposition     spatial spectrum analysis     boundary effect     vibration identification    

HTML PDF Collect

Changes in public trust in physicians: empirical evidence from China

Dahai Zhao, Zhiruo Zhang

Frontiers of Medicine 2019, Volume 13, Issue 4,   Pages 504-510 doi: 10.1007/s11684-018-0666-4

Abstract: Studies examining the trends in public trust in physicians have provided a considerable amount of valuablepolicy implications for policymakers compared with cross-sectional studies on this topic in many countries

Keywords： trust in physicians     public trust     physician-patient relationship     health system performance    

HTML PDF Collect

relationship of industrial agglomeration and low-carbon economy considering spatiotemporal differentiation: An empirical

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 285-299 doi: 10.1007/s42524-022-0197-1

Abstract: Although China’s construction machinery thrives to meet the needs of construction, a number of challenges still remain to be overcome, such as lack of thorough knowledge of regional disparities and several limitations in terms of carbon emissions and economic development. Meanwhile, a low-carbon economy was proposed and implemented in China. This research aims to investigate the differences in industrial agglomeration of construction machineries and further explore the relationship between industrial agglomeration and low-carbon economy. On this basis, spatiotemporal analysis was performed to evaluate the levels of industrial agglomeration in different regions based on the situations of China’s construction machinery industry. Furthermore, this study explored the interaction between industrial agglomeration and low-carbon economy utilizing the coupling coordination analysis method. Results showed that the coupling coordination of the two subsystems was extremely unbalanced in 2006, and it maintained an increasing trend, reaching a relatively high level in 2018. Finally, suggestions, such as establishing a policy guarantee system and implementing variable policies in different regions, were proposed to provide guidelines for the government decision-making and promote the sustainable development of China’s construction machinery industry.

Keywords： spatiotemporal differentiation     industrial agglomeration     low-carbon economy     construction machinery industry     empirical    

HTML PDF Collect

An Empirical Study on the Generation Mechanism of NIMBY Conflicts of Construction Projects

Guang-she Jia,Song-yu Yan,Wen-jun Wang,Ralf Müller,Chen Lin

Frontiers of Engineering Management 2016, Volume 3, Issue 1,   Pages 39-49 doi: 10.15302/J-FEM-2016015

Abstract: In the highly overlapped contexts of urbanization and social transformation, and with the advent of the “Risk Society,” the social issues, called “Not in My Back Yard (NIMBY)” conflicts, caused by the construction or operation of the NIMBY projects have become a serious problem in China. Hence, it is in urgent need to find out the influencing factors and discover the generation mechanism of the NIMBY conflicts. From the perspective of social conflict theory, the authors built a process model of the NIMBY conflicts on the basis of identifying stakeholders and analyzing their interest interaction. Thereafter, the authors conducted a questionnaire survey, followed by exploratory factor analysis (EFA) revealing the underlying influencing factors of the NIMBY conflicts. Finally, they performed the confirmatory analysis method of Structural Equation Modeling to test the preliminary research hypothesis of the model and its interaction path in AMOS 18.0, with the results showing that unequal exchange and consensus mobilization will contribute to the formation of common consciousness of the opposition party, the opposition party’s common consciousness and action mobilization affects the generation of social conflicts. The process model reveals the generation mechanism of the NIMBY conflicts, and it facilitates further investigations in the governance of the NIMBY conflicts.

Keywords： NIMBY conflicts     social conflict     construction projects     mechanism     empirical study    

HTML PDF Collect

An Empirical Study on the Internal Control Efficiency of Listed Engineering Companies

Zhi-wen Wang,Jing Tong

Frontiers of Engineering Management 2015, Volume 2, Issue 2,   Pages 159-164 doi: 10.15302/J-FEM-2015026

Abstract: The authors carried out an empirical study on the internal control efficiency of publically listed engineering

Keywords： internal control efficiency     board of directors     independent directors     audit committee    

HTML PDF Collect

Empirical models and design codes in prediction of modulus of elasticity of concrete

Behnam VAKHSHOURI, Shami NEJADI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 38-48 doi: 10.1007/s11709-018-0479-1

Abstract: In addition, a wide range of experimental databases and empirical models to estimate the MOE from compressive

Keywords： modulus of elasticity     normal strength normal weight concrete     empirical models     design codes     compressive    

HTML PDF Collect

Genome-wide association studies: inherent limitations and future challenges

Yan Du, Jiaxin Xie, Wenjun Chang, Yifang Han, Guangwen Cao

Frontiers of Medicine 2012, Volume 6, Issue 4,   Pages 444-450 doi: 10.1007/s11684-012-0225-3

Abstract:

Genome-wide association studies (GWAS) have achieved great success in identifying genetic variantsDeep sequencing followed by functional studies will be needed to elucidate the underpinning biological

Keywords： genome-wide association studies (GWAS)     genetic variant     cancer     limitation     challenge    

HTML PDF Collect

Genomic and pharmacogenetic studies of childhood acute lymphoblastic leukemia

Ching-Hon Pui

Frontiers of Medicine 2015, Volume 9, Issue 1,   Pages 1-9 doi: 10.1007/s11684-015-0381-3

Abstract:

With the cure rate of childhood acute lymphoblastic leukemia (ALL) approaching 90%, further improvement in the treatment outcome and quality of life of patients will require better understanding of the mechanisms of drug resistance, identifying new leukemic cell genetic lesions that are amendable to available target therapy, and optimizing treatment based on host pharmacodynamics and pharmacogenomics. Deeper characterization of leukemic cell genetic abnormalities has discovered new subtypes of leukemia such as early T-cell precursor ALL and Philadelphia chromosome-like ALL, and identified many genomic alterations that have diagnostic, prognostic, or therapeutic implications. In this regard, several novel fusion transcripts are responsive to ABL tyrosine kinase inhibitors and potentially to JAK inhibitors. Genome-wide analyses have also unraveled the role of inherited cancer predisposing genes and small nucleotide polymorphisms of several genes in the development of childhood ALL. These advances promise to lead to more sophisticated personalized treatment strategies in the near future.

Keywords： pharmacogenomics     acute lymphoblastic leukemia     genomics     pharmacogenetics    

HTML PDF Collect

ANN-based empirical modelling of pile behaviour under static compressive loading

Abdussamad ISMAIL

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4,   Pages 594-608 doi: 10.1007/s11709-017-0446-2

Abstract: Artificial neural networks have been widely used over the past two decades to successfully develop empiricalIn this paper, an empirical model based on the product-unit neural network (PUNN) is developed to predict

Keywords： piles in compression     load-deformation behaviour     product-unit neural network    

HTML PDF Collect

Novel empirical model for predicting residual flexural capacity of corroded steel reinforced concrete

Zhao-Hui LU, Hong-Jun WANG, Fulin QU, Yan-Gang ZHAO, Peiran LI, Wengui LI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4,   Pages 888-906 doi: 10.1007/s11709-020-0637-0

Abstract: In addition, six available empirical models for calculating the residual flexural strength of CRC beamsIt indicates that though five of six existing empirical models underestimate the flexural capacity ofFinally, a newly developed empirical model is proposed to provide accurate and effective predictions

Keywords： CRC beams     flexural capacity     steel corrosion     database     empirical models    

HTML PDF Collect

Empirical analysis of the Environmental Kuznets Curve in agrochemicals

Fei LI,Suocheng DONG,Fujia LI,Libiao YANG

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 2,   Pages 276-287 doi: 10.1007/s11783-014-0700-y

Abstract: The empirical results indicate a positive long-run co-integrated relationship between the environmental

Keywords： Environmental Kuznets Curve     agrochemical     China    

HTML PDF Collect

Data quality assessment for studies investigating microplastics and nanoplastics in food products: Are

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1694-0

Abstract:

● Data quality assessment criteria for MP/NPs in food products were developed.

Keywords： Microplastic     Nanoplastic     Food products     Data quality     Human health risk    

HTML PDF Collect

Title Author Date Type Operation

A Bayesian modeling approach to bi-directional pedestrian flows in carnival events

S. Q. XIE, S. C. WONG, William H. K. LAM

Journal Article

Prediction of the theoretical and semi-empirical model of ambient temperature

Foued CHABANE,Noureddine MOUMMI,Abdelhafid BRIMA,Abdelhafid MOUMMI

Journal Article

Detection of schedule delay risk of empirical construction projects

Tsegay GEBREHIWET, Hanbin LUO

Journal Article

Relative vibration identification of cutter and workpiece based on improved bidimensional empirical mode

Jiasheng LI, Xingzhan LI, Wei WEI, Pinkuan LIU

Journal Article

Changes in public trust in physicians: empirical evidence from China

Dahai Zhao, Zhiruo Zhang

Journal Article

relationship of industrial agglomeration and low-carbon economy considering spatiotemporal differentiation: An empirical

Journal Article

An Empirical Study on the Generation Mechanism of NIMBY Conflicts of Construction Projects

Guang-she Jia,Song-yu Yan,Wen-jun Wang,Ralf Müller,Chen Lin

Journal Article

An Empirical Study on the Internal Control Efficiency of Listed Engineering Companies

Zhi-wen Wang,Jing Tong

Journal Article

Empirical models and design codes in prediction of modulus of elasticity of concrete

Behnam VAKHSHOURI, Shami NEJADI

Journal Article

Genome-wide association studies: inherent limitations and future challenges

Yan Du, Jiaxin Xie, Wenjun Chang, Yifang Han, Guangwen Cao

Journal Article

Genomic and pharmacogenetic studies of childhood acute lymphoblastic leukemia

Ching-Hon Pui

Journal Article

ANN-based empirical modelling of pile behaviour under static compressive loading

Abdussamad ISMAIL

Journal Article

Novel empirical model for predicting residual flexural capacity of corroded steel reinforced concrete

Zhao-Hui LU, Hong-Jun WANG, Fulin QU, Yan-Gang ZHAO, Peiran LI, Wengui LI

Journal Article

Empirical analysis of the Environmental Kuznets Curve in agrochemicals

Fei LI,Suocheng DONG,Fujia LI,Libiao YANG

Journal Article

Data quality assessment for studies investigating microplastics and nanoplastics in food products: Are

Journal Article