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Evaluation and prediction of slope stability using machine learning approaches

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4,   Pages 821-833 doi: 10.1007/s11709-021-0742-8

Abstract: In this paper, the machine learning (ML) model is built for slope stability evaluation and meets the high precision and rapidity requirements in slope engineering. Different ML methods for the factor of safety (FOS) prediction are studied and compared hoping to make the best use of the large variety of existing statistical and ML regression methods collected. The data set of this study includes six characteristics, namely unit weight, cohesion, internal friction angle, slope angle, slope height, and pore water pressure ratio. The whole ML model is primarily divided into data preprocessing, outlier processing, and model evaluation. In the data preprocessing, the duplicated data are first removed, then the outliers are filtered by the LocalOutlierFactor method and finally, the data are standardized. 11 ML methods are evaluated for their ability to learn the FOS based on different input parameter combinations. By analyzing the evaluation indicators R 2, MAE, and MSE of these methods, SVM, GBR, and Bagging are considered to be the best regression methods. The performance and reliability of the nonlinear regression method are slightly better than that of the linear regression method. Also, the SVM-poly method is used to analyze the susceptibility of slope parameters.

Keywords： slope stability     factor of safety     regression     machine learning     repeated cross-validation    

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The adoption of repeated measurement of variance analysis and Shapiro–Wilk test

Frontiers of Medicine 2022, Volume 16, Issue 4,   Pages 659-660 doi: 10.1007/s11684-021-0908-8

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Answer for questions of repeated measurements of variance analysis and distribution test of data — Authors

Frontiers of Medicine 2022, Volume 16, Issue 4,   Pages 661-664 doi: 10.1007/s11684-021-0907-9

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Crushed rocks stabilized with organosilane and lignosulfonate in pavement unbound layers: Repeated load

Diego Maria BARBIERI, Inge HOFF, Chun-Hsing HO

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 412-424 doi: 10.1007/s11709-021-0700-5

Abstract: The beneficial effect offered by the additives was thoroughly evaluated by performing repeated load triaxialFurthermore, a finite element model was created to simulate the repeated load triaxial test by implementing

Keywords： organosilane     lignosulfonate     crushed rocks     pavement unbound layers     repeated load triaxial test     finite    

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Effect of repeated gonadotropin stimulation on ovarian reserves and proliferation of ovarian surface

Linlin LIANG, Bei XU, Guijin ZHU

Frontiers of Medicine 2009, Volume 3, Issue 2,   Pages 220-226 doi: 10.1007/s11684-009-0037-2

Abstract: This study aimed to evaluate the effect of repeated ovarian stimulation (OS) on the ovarian follicularA total of 75 mice were enrolled in this experiment and randomly assigned into three groups: repeatedRepeated ovarian stimulation also tended to decrease normal follicles of primary follicles (66.67%) andThe OSE cells adjacent to the antral follicles and corpus luteum (CL) in the repeated ovarian stimulatedHowever, repeated gonadotropin stimulation may have a negative effect on the ovarian follicular quality

Keywords： gonadotropin-releasing hormone     ovarian reserve     embryo developmental ability     ovarian surface epithelium    

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Test-driven verification/validation of model transformations

László LENGYEL,Hassan CHARAF

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2,   Pages 85-97 doi: 10.1631/FITEE.1400111

Abstract: In this way, verification/validation methods can guarantee different requirements stated by the actualtransformation verified/validated, discusses the different scenarios of model transformation verification and validationFurthermore, we collect and discuss the actual open issues in the field of verification/validation of

Keywords： Graph rewriting based model transformations     Verification/validation     Test-driven verification    

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Model validation for structural dynamics in the aero-engine design process

Chaoping ZANG, D. J. EWINS,

Frontiers in Energy 2009, Volume 3, Issue 4,   Pages 480-488 doi: 10.1007/s11708-009-0043-8

Abstract: A model validation technique in structural dynamics and its application in aero-engine development isThe concept and the approaches of model validation based on reference data supplied from experimentalAn aero-engine component is used as an example to demonstrate the validation using the experimental testA satisfactory agreement with both approaches is achieved, and finally, a strategy of model validation

Keywords： model validation     aero-engine     structural dynamics    

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Stiffness analysis and experimental validation of robotic systems

Giuseppe CARBONE

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 2,   Pages 182-196 doi: 10.1007/s11465-011-0221-3

Abstract: engineering feasibility of both the proposed numerical formulation for stiffness analysis and experimental validation

Keywords： robotics     stiffness performance     numerical and experimental estimations    

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Innate immune checkpoint Siglec10 in cancers: mining of comprehensive omics data and validation in patient

Frontiers of Medicine 2022, Volume 16, Issue 4,   Pages 596-609 doi: 10.1007/s11684-021-0868-z

Abstract: Sialic acid binding Ig-like lectin 10 (Siglec10) is a member of innate immune checkpoints that inhibits the activation of immune cells through the interaction with its ligand CD24 on tumor cells. Here, by analyzing public databases containing 64 517 patients of 33 cancer types, we found that the expression of Siglec10 was altered in 18 types of cancers and was associated with the clinical outcomes of 11 cancer types. In particular, Siglec10 was upregulated in patients with kidney renal clear cell carcinoma (KIRC) and was inversely associated with the prognosis of the patients. In 131 KIRC patients of our settings, Siglec10 was elevated in the tumor tissues of 83 (63.4%) patients compared with that in their counterpart normal kidney tissues. Moreover, higher level of Siglec10 was associated with advanced disease (stages III and IV) and worse prognosis. Silencing of CD24 in KIRC cells significantly increased the number of Siglec10-expressing macrophages phagocytosing KIRC cells. In addition, luciferase activity assays suggested that Siglec10 was a potential target of the transcription factors c-FOS and GATA1, which were identified by data mining. These results demonstrate that Siglec10 may have important oncogenic functions in KIRC, and represents a novel target for the development of immunotherapies.

Keywords： innate immune checkpoint     Siglec10     kidney renal clear cell carcinoma    

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Model validation and application

Rongrong ZHANG,Chesheng ZHAN,Xiaomeng SONG,Baolin LIU

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 6,   Pages 1025-1035 doi: 10.1007/s11783-014-0655-z

Abstract: In the third step, the data from an experimental landfill site is used for a pilot-scale validation.Further field-scale validation is finished. The results are satisfactory.

Keywords： environmental multimedia modelling system     fuzzy-set approach     application     model validation     uncertainty    

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Water pumping analysis and experimental validation of beach well infiltration intake system in a seawater

Huan ZHANG,Shu LIU,Xuejing ZHENG,Gaofeng CHEN

Frontiers in Energy 2015, Volume 9, Issue 3,   Pages 335-342 doi: 10.1007/s11708-015-0365-7

Abstract: Based on energy conservation equation and Darcy’s law, a model of beach well infiltration intake system applied in a seawater source heat pump system was established. The model consists of the seawater seepage and the heat transfer process. A porous medium model in a software named FLUENT was applied to simulate the seepage and the heat transfer process. This model was also validated by field experiment conducted on the seashore in Tianjin, China. The maximum relative error between simulation results and experimental results was 2.1% (less than 5%), which was acceptable in engineering application. The porosity and coefficient of thermal conductivity of the aquifer soil were determined to be 0.49 W/(m·K) and 1.46 W/(m·K), respectively in the simulation. In addition, the influencing factors of pumping water of beach well were also analyzed. The pumping water was found to increase when the distance between the beach well and the impervious boundary becomes longer, when the distance between the beach well and the supplying water source shortens, when the diameter of the beach well enlarges, and the drawdown enlarges.

Keywords： water pumping analysis     experimental validation     infiltration intake system     seawater source heat pump    

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Reliability prediction and its validation for nuclear power units in service

Jinyuan SHI,Yong WANG

Frontiers in Energy 2016, Volume 10, Issue 4,   Pages 479-488 doi: 10.1007/s11708-016-0425-7

Abstract: In this paper a novel method for reliability prediction and validation of nuclear power units in service

Keywords： nuclear power units in service     reliability     reliability prediction     equivalent availability factors    

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Assessment and validation of liquid breakup models for high-pressure dense diesel sprays

Yi REN,Xianguo LI

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 164-175 doi: 10.1007/s11708-016-0407-9

Abstract: Liquid breakup in fuel spray and atomization significantly affects the consequent mixture formation, combustion behavior, and emission formation processes in a direct injection diesel engine. In this paper, different models for liquid breakup processes in high-pressure dense diesel sprays and its impact on multi-dimensional diesel engine simulation have been evaluated against experimental observations, along with the influence of the liquid breakup models and the sensitivity of model parameters on diesel sprays and diesel engine simulations. It is found that the modified Kelvin-Helmholtz (KH)–Rayleigh-Taylor (RT) breakup model gives the most reasonable predicted results in both engine simulation and high-pressure diesel spray simulation. For the standard KH-RT model, the model constant for the breakup length has a significant effect on the predictability of the model, and a fixed value of the constant cannot provide a satisfactory result for different operation conditions. The Taylor-analogy-breakup (TAB) based models and the RT model do not provide reasonable predictions for the characteristics of high-pressure sprays and simulated engine performance and emissions.

Keywords： breakup model     diesel engine     high-pressure injection     simulations    

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Experimental and computational validation of a scaled train tunnel model using modal analysis

Janice B. D’SOUZA, Sangarapillai KANAPATHIPILLAI

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4,   Pages 420-428 doi: 10.1007/s11465-013-0281-7

Abstract:

Acoustic engineers are faced with the challenge of minimising reverberation time in their designs so as to contribute to the health and well-being of those traveling by train and those on the platforms. Although the problem is easy to identify, it is not as simple to solve. The acoustical environment of a train tunnel is complex, with a variety of noise contributing factors such as train announcements, speech of commuters, ventilation systems, electrical equipment and wheel and rail noise. As a result, there is some difficulty in modeling the complete acoustic environment with computational or acoustic first principles. In this study, an experimental rig was constructed to model the acoustic behavior within a tunnel. The modal properties for the 300 Hz to 1500 Hz range, including resonances and mode shapes were identified and were shown to successfully correspond to theoretical results and a computational model created in COMSOL using Finite Element Analysis.

Keywords： reverberation time     acoustic environment     modal properties     resonances    

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Validation of

Youfen Xu, Zong Li, Ruyin Liu, Hongxia Liang, Zhisheng Yu, Hongxun Zhang

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 4, doi: 10.1007/s11783-020-1246-9

Abstract: However, the two SYBR green qPCR assays (Pig-Bac1SYBR and Pig-Bac2SYBR) cross-reacted with most non-pig

Keywords： Microbial source tracking     Pig fecal pollution     16S rRNA gene markers     Pig-specific Bacteroidales    

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Title Author Date Type Operation

Evaluation and prediction of slope stability using machine learning approaches

Journal Article

The adoption of repeated measurement of variance analysis and Shapiro–Wilk test

Journal Article

Answer for questions of repeated measurements of variance analysis and distribution test of data — Authors

Journal Article

Crushed rocks stabilized with organosilane and lignosulfonate in pavement unbound layers: Repeated load

Diego Maria BARBIERI, Inge HOFF, Chun-Hsing HO

Journal Article

Effect of repeated gonadotropin stimulation on ovarian reserves and proliferation of ovarian surface

Linlin LIANG, Bei XU, Guijin ZHU

Journal Article

Test-driven verification/validation of model transformations

László LENGYEL,Hassan CHARAF

Journal Article

Model validation for structural dynamics in the aero-engine design process

Chaoping ZANG, D. J. EWINS,

Journal Article

Stiffness analysis and experimental validation of robotic systems

Giuseppe CARBONE

Journal Article

Innate immune checkpoint Siglec10 in cancers: mining of comprehensive omics data and validation in patient

Journal Article

Model validation and application

Rongrong ZHANG,Chesheng ZHAN,Xiaomeng SONG,Baolin LIU

Journal Article

Water pumping analysis and experimental validation of beach well infiltration intake system in a seawater

Huan ZHANG,Shu LIU,Xuejing ZHENG,Gaofeng CHEN

Journal Article

Reliability prediction and its validation for nuclear power units in service

Jinyuan SHI,Yong WANG

Journal Article

Assessment and validation of liquid breakup models for high-pressure dense diesel sprays

Yi REN,Xianguo LI

Journal Article

Experimental and computational validation of a scaled train tunnel model using modal analysis

Janice B. D’SOUZA, Sangarapillai KANAPATHIPILLAI

Journal Article

Validation of

Youfen Xu, Zong Li, Ruyin Liu, Hongxia Liang, Zhisheng Yu, Hongxun Zhang

Journal Article