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Estimation of flexible pavement structural capacity using machine learning techniques

Nader KARBALLAEEZADEH, Hosein GHASEMZADEH TEHRANI, Danial MOHAMMADZADEH SHADMEHRI, Shahaboddin SHAMSHIRBAND

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1083-1096 doi: 10.1007/s11709-020-0654-z

Abstract: In this study, three machine learning methods entitled Gaussian process regression, M5P model tree, and

Keywords： transportation infrastructure     flexible pavement     structural number prediction     Gaussian process regression     M5Pmodel tree     random forest    

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oblique load carrying capacity of batter pile groups using neural network, random forest regression and M5model tree

Tanvi SINGH, Mahesh PAL, V. K. ARORA

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3,   Pages 674-685 doi: 10.1007/s11709-018-0505-3

Abstract: M5 model tree, random forest regression (RF) and neural network (NN) based modelling approaches wereM5 model tree provides simple linear relation which can be used for the prediction of oblique load forModel developed using RF regression approach with smooth pile group data was found to be in good agreement

Keywords： batter piles     oblique load test     neural network     M5 model tree     random forest regression     ANOVA    

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Fast and catalytic pyrolysis of xylan: Effects of temperature and M/HZSM-5 (M= Fe, Zn) catalysts on pyrolytic

Xifeng ZHU, Qiang LU, Wenzhi LI, Dong ZHANG,

Frontiers in Energy 2010, Volume 4, Issue 3,   Pages 424-429 doi: 10.1007/s11708-010-0015-z

Abstract: conducted to investigate the effects of temperature on pyrolytic products, and to reveal the effect of HZSM-5and M/HZSM-5 (M= Fe, Zn) zeolites on pyrolysis vapors.Catalytic cracking of pyrolysis vapors with HZSM-5 and M/HZSM-5 (M= Fe, Zn) catalysts significantly alteredM/HZSM-5 catalysts were more effective than HZSM-5 in reducing the oxygen-containing compounds, and therefore, they helped to produce higher contents of hydrocarbons than HZSM-5.

Keywords： xylan     fast pyrolysis     catalytic pyrolysis     Py-GC/MS     HZSM-5    

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RGS16 regulated by let-7c-5p promotes glioma progression by activating PI3K-AKT pathway

Frontiers of Medicine 2023, Volume 17, Issue 1,   Pages 143-155 doi: 10.1007/s11684-022-0929-y

Abstract: Moreover, previous studies confirmed that let-7c-5p, a well-known microRNA, can act as a tumour suppressorHowever, whether RGS16 can promote the progression of glioma and whether it is regulated by miR let-7c-5pMoreover, RGS16 was validated as a direct target gene of miR let-7c-5p.The overexpression of miR let-7c-5p obviously downregulated the expression of RGS16, and knocking downmiR let-7c-5p had the opposite effect.

Keywords： RGS16     let-7c-5p     glioma     proliferation     migration    

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Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1403-1417 doi: 10.1007/s11709-020-0666-8

Abstract: optimal weight factors used in the matching process to maintain a high accuracy by introducing a decision treeThe decision tree model was built using the content elements stored in the SCD, design companies, bridgeThe inverse-calculation method was applied to extract the weight factors from the decision tree model

Keywords： structural calculation document     bridge structure     XML Schema matching     weight factor     data mining     decision treemodel    

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An innovative model for predicting the displacement and rotation of column-tree moment connection under

Mohammad Ali NAGHSH, Aydin SHISHEGARAN, Behnam KARAMI, Timon RABCZUK, Arshia SHISHEGARAN, Hamed TAGHAVIZADEH, Mehdi MORADI

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 194-212 doi: 10.1007/s11709-020-0688-2

Abstract: this study, we carried out nonlinear finite element simulations to predict the performance of a column-treeEmploying the Taguchi method for variables 2–5 and their levels, 9 samples were designed for the parameter

Keywords： column-tree moment connection     Finite element model     parametric study     fire     regression models     gene expression    

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Correlation between serum miR-154-5p and urinary albumin excretion rates in patients with type 2 diabetes

Huiwen Ren, Can Wu, Ying Shao, Shuang Liu, Yang Zhou, Qiuyue Wang

Frontiers of Medicine 2020, Volume 14, Issue 5,   Pages 642-650 doi: 10.1007/s11684-019-0719-3

Abstract: This study aimed to investigate the correlation between serum miR-154-5p and urinary albumin to creatinineCirculating miR-154-5p, inflammatory (C-reactive protein (CRP); erythrocyte sedimentation rate (ESR);UACR, miR-154-5p, glycated hemoglobin (HbA1c), serum creatinine (sCr), blood urea nitrogen (BUN), ESRElevated levels of UACR and miR-154-5p were directly correlated with HbA1c, sCr, BUN, ESR, CRP, VEGF,These findings indicated that elevated serum miR-154-5p is significantly correlated with high UACR in

Keywords： type 2 diabetes mellitus     diabetic kidney disease     miR-154-5p     urinary albumin to creatinine ratio    

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Bismuth oxide-related photocatalysts in green nanotechnology: A critical analysis

Andrea P. Reverberi, P.S. Varbanov, M. Vocciante, B. Fabiano

Frontiers of Chemical Science and Engineering 2018, Volume 12, Issue 4,   Pages 878-892 doi: 10.1007/s11705-018-1744-5

Abstract: A survey addressing the uses of bismuth oxide in photocatalysis is presented. The richness of literature on such a specific topic proves the growing importance of this compound as a valid tool in pollution abatement and environmental decontamination. Many research groups have focused their activity on how to improve the photocatalytic properties of this semiconductor and several solutions have been adopted in the synthesis method, often based on wet-chemical processes. The impressive development of nanoscience helped in understanding and identifying process variables and operative conditions aiming at optimizing the yield of this promising photocatalytic material in the utilization of solar energy.

Keywords： photocatalysis     visible light     bismuth compounds     nanotechnology     environmental remediation     decontamination     pollution abatement    

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MicroRNA-142-3p and microRNA-142-5p are downregulated in hepatocellular carcinoma and exhibit synergistic

Felice Ho-Ching Tsang,Sandy Leung-Kuen Au,Lai Wei,Dorothy Ngo-Yin Fan,Joyce Man-Fong Lee,Carmen Chak-Lui Wong,Irene Oi-Lin Ng,Chun-Ming Wong

Frontiers of Medicine 2015, Volume 9, Issue 3,   Pages 331-343 doi: 10.1007/s11684-015-0409-8

Abstract: In this study, miRNA profiling and qRT-PCR validation revealed that miR-142-3p and miR-142-5p were significantlyOverexpression of either miR-142-3p or miR-142-5p suppressed HCC cell migration, and overexpression ofboth synergistically inhibited cell migration, which indicated that miR-142-3p and miR-142-5p may cooperativelyregulate cell movement. miR-142-3p and miR-142-5p, which are mature miRNAs derived from the 3′miR-142-5p with several cell motility-associated pathways, including those regulating actin cytoskeleton

Keywords： hepatocellular carcinoma     microRNA     metastasis     cytoskeletal reorganization    

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lncR-GAS5 upregulates the splicing factor to impair endothelial autophagy, leading to atherogenesis

Frontiers of Medicine 2023, Volume 17, Issue 2,   Pages 317-329 doi: 10.1007/s11684-022-0931-4

Abstract: , impaired autophagy was observed, as shown by a decreased LC3II/LC3I protein ratio and an elevated P62Further results revealed that overexpression of the lncR-GAS5-targeted gene miR-193-5p promoted autophagyNotably, miR-193-5p overexpression decreased plaque size and increased collagen content.In conclusion, lncR-GAS5 overexpression arrested endothelial autophagy through the miR-193-5p/SRSF10Thus, miR-193-5p/SRSF10 may serve as a novel treatment target for atherosclerosis.

Keywords： lncR-GAS5     miR-193-5p     splicing factor SRSF10     autophagy     atherogenesis    

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Four-protein model for predicting prognostic risk of lung cancer

Frontiers of Medicine 2022, Volume 16, Issue 4,   Pages 618-626 doi: 10.1007/s11684-021-0867-0

Abstract: HSP90β combined with CEA, CA125, and CYFRA21-1 were used to construct a recursive partitioning decision treemodel to establish a four-protein diagnostic model and predict the survival of patients with lung cancerSurvival analysis showed that the recursive partitioning decision tree could distinguish the prognosis

Keywords： lung cancer     HSP90β     decision tree model     prognosis    

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Contribution to the design of robotized tele-echography system

ESSOMBA, M. A. LARIBI, J. P. GAZEAU, S. ZEGHLOUL, G. POISSON

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 2,   Pages 135-149 doi: 10.1007/s11465-012-0326-3

Abstract: <p>This paper introduces the design of a master-slave robotized system for tele-ultrasound applicationp>

Keywords： tele-echography     motion capture     spherical parallel mechanism     genetic algorithm     adaptative kalman filter    

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An Interactive ServiceorientedP2P Networks Architecture Reference Model

Liu Ye,Liu Linfen,Zhuang Yanyan

Strategic Study of CAE 2007, Volume 9, Issue 9,   Pages 72-77

Abstract: <p style="text-align: justify;">An interactive service- oriented P2P networks architecture (ISPNA) is Based on the further analysis on the service demand of distributed P2P applications,  andconsidering the characteristics of P2P networks such as loose-coupled,  self-organizing,  andscalability,  the key availability enhancing issues of P2P networks are resolved by several differentp>

Keywords： P2P networks     architecture     reference model     resource     service    

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Carbon dioxide: a renewable feedstock for the synthesis of fine and bulk chemicals

Yogesh P. PATIL, Pawan J. TAMBADE, Sachin R. JAGTAP, Bhalchandra M. BHANAGE,

Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 2,   Pages 213-235 doi: 10.1007/s11705-009-0227-0

Abstract: The syntheses of carbon dioxide (CO) based industrially important chemicals have gained considerable interest in view of the sustainable chemistry and “green chemistry” concepts. In this review, recent developments in the chemical fixation of CO to valuable chemicals are discussed. The synthesis of five-member cyclic carbonates , cycloaddition of CO to epoxides is one of the promising reactions replacing the existing poisonous phosgene-based synthetic route. This review focuses on the synthesis of cyclic carbonates, vinyl carbamates, and quinazoline-2,4(1,3)-diones reaction of CO and epoxide, amines/phenyl acetylene, 2-aminobenzinitrile and other chemicals. Direct synthesis of dimethyl carbonate, 1,3-disubstituted urea and 2-oxazolidinones/2-imidazolidinones have limitations at present because of the reaction equilibrium and chemical inertness of CO. The preferred alternatives for their synthesis like transesterification of ethylene carbonate with methanol, transamination of ethylene carbonate with primary amine and transamination reaction of ethylene carbonate with diamines/-aminoalcohols are discussed. These methodologies offer marked improvements for greener chemical fixation of CO in to industrially important chemicals.

Keywords： inertness     CO     phosgene-based synthetic     quinazoline-2     4     equilibrium    

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Smart residential energy management system for demand response in buildings with energy storage devices

ARUN, M. P. SELVAN

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 715-730 doi: 10.1007/s11708-018-0538-2

Abstract: In the present scenario, the utilities are focusing on smart grid technologies to achieve reliable and profitable grid operation. Demand side management (DSM) is one of such smart grid technologies which motivate end users to actively participate in the electricity market by providing incentives. Consumers are expected to respond (demand response (DR)) in various ways to attain these benefits. Nowadays, residential consumers are interested in energy storage devices such as battery to reduce power consumption from the utility during peak intervals. In this paper, the use of a smart residential energy management system (SREMS) is demonstrated at the consumer premise to reduce the total electricity bill by optimally time scheduling the operation of household appliances. Further, the SREMS effectively utilizes the battery by scheduling the mode of operation of the battery (charging/floating/discharging) and the amount of power exchange from the battery while considering the variations in consumer demand and utility parameters such as electricity price and consumer consumption limit (CCL). The SREMS framework is implemented in Matlab and the case study results show significant yields for the end user.

Keywords： smart grid     demand side management (DSM)     demand response (DR)     smart building     smart appliances     energy storage    

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Title Author Date Type Operation

Estimation of flexible pavement structural capacity using machine learning techniques

Nader KARBALLAEEZADEH, Hosein GHASEMZADEH TEHRANI, Danial MOHAMMADZADEH SHADMEHRI, Shahaboddin SHAMSHIRBAND

Journal Article

oblique load carrying capacity of batter pile groups using neural network, random forest regression and M5model tree

Tanvi SINGH, Mahesh PAL, V. K. ARORA

Journal Article

Fast and catalytic pyrolysis of xylan: Effects of temperature and M/HZSM-5 (M= Fe, Zn) catalysts on pyrolytic

Xifeng ZHU, Qiang LU, Wenzhi LI, Dong ZHANG,

Journal Article

RGS16 regulated by let-7c-5p promotes glioma progression by activating PI3K-AKT pathway

Journal Article

Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

Journal Article

An innovative model for predicting the displacement and rotation of column-tree moment connection under

Mohammad Ali NAGHSH, Aydin SHISHEGARAN, Behnam KARAMI, Timon RABCZUK, Arshia SHISHEGARAN, Hamed TAGHAVIZADEH, Mehdi MORADI

Journal Article

Correlation between serum miR-154-5p and urinary albumin excretion rates in patients with type 2 diabetes

Huiwen Ren, Can Wu, Ying Shao, Shuang Liu, Yang Zhou, Qiuyue Wang

Journal Article

Bismuth oxide-related photocatalysts in green nanotechnology: A critical analysis

Andrea P. Reverberi, P.S. Varbanov, M. Vocciante, B. Fabiano

Journal Article

MicroRNA-142-3p and microRNA-142-5p are downregulated in hepatocellular carcinoma and exhibit synergistic

Felice Ho-Ching Tsang,Sandy Leung-Kuen Au,Lai Wei,Dorothy Ngo-Yin Fan,Joyce Man-Fong Lee,Carmen Chak-Lui Wong,Irene Oi-Lin Ng,Chun-Ming Wong

Journal Article

lncR-GAS5 upregulates the splicing factor to impair endothelial autophagy, leading to atherogenesis

Journal Article

Four-protein model for predicting prognostic risk of lung cancer

Journal Article

Contribution to the design of robotized tele-echography system

ESSOMBA, M. A. LARIBI, J. P. GAZEAU, S. ZEGHLOUL, G. POISSON

Journal Article

An Interactive ServiceorientedP2P Networks Architecture Reference Model

Liu Ye,Liu Linfen,Zhuang Yanyan

Journal Article

Carbon dioxide: a renewable feedstock for the synthesis of fine and bulk chemicals

Yogesh P. PATIL, Pawan J. TAMBADE, Sachin R. JAGTAP, Bhalchandra M. BHANAGE,

Journal Article

Smart residential energy management system for demand response in buildings with energy storage devices

ARUN, M. P. SELVAN

Journal Article