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Electricity demand, GDP and employment: evidence from Italy

Cosimo MAGAZZINO

Frontiers in Energy 2014, Volume 8, Issue 1, Pages 31-40 doi: 10.1007/s11708-014-0296-8

Abstract: This paper applies time series methodologies to examine the causal relationship among electricity demand, real per capita GDP and total labor force for Italy from 1970 to 2009. After a brief introduction, a survey of the economic literature on this issue is reported, before discussing the data and introducing the econometric techniques used. The results of estimation indicate that one cointegrating relationship exists among these variables. This equilibrium relation implies that, in the long-run, GDP and labor force are correlated negatively, as well as GDP and electricity. Moreover, there is a bi-directional Granger causality flow between real per capita GDP and electricity demand; while labor force does not Granger-cause neither real per capita GDP nor electricity demand. This implies that electricity demand and economic growth are jointly determined at the same time for the Italian case. The forecast error variance decomposition shows that forecast errors in real per capita GDP are mainly caused by the uncertainty in GDP itself, while forecast errors in labor force are mainly resulted from the labor force itself, although aggregate income and electricity are important, too.

Keywords： energy policies electricity demand GDP labor force stationarity structural breaks cointegration causality

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Mechanisms and impacts of chromosomal translocations in cancers

Jing H. Wang

Frontiers of Medicine 2012, Volume 6, Issue 3, Pages 263-274 doi: 10.1007/s11684-012-0215-5

Abstract: Chromosomal translocations, a type of particular structural changes involving heterologous chromosomesIn particular, the contribution of frequency of DNA double strand breaks and spatial proximity of translocating

Keywords： DNA double strand breaks chromosomal translocations genomic instability spatial proximity carcinogenesis

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After Artificial Intelligence Breaks Longstanding Matrix Multiplication Records, Humans Quickly Do Better

Dana Mackenzie

Engineering 2023, Volume 28, Issue 9, Pages 1-3 doi: 10.1016/j.eng.2023.07.002

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Effects of DNA damage on oocyte meiotic maturation and early embryonic development

Shen YIN,Junyu MA,Wei SHEN

Frontiers of Agricultural Science and Engineering 2014, Volume 1, Issue 3, Pages 185-190 doi: 10.15302/J-FASE-2014035

Abstract: Complex DNA damage, double-strand breaks, represents a more difficult repair process and involves various

Keywords： DNA damage double-strand breaks (DSBs) oocyte embryo

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First Supercomputer Breaks Exascale Barrier, with More Expected Soon

Mitch Leslie

Engineering 2023, Volume 23, Issue 4, Pages 10-12 doi: 10.1016/j.eng.2023.02.004

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Approximation of structural damping and input excitation force

Mohammad SALAVATI

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 2, Pages 244-254 doi: 10.1007/s11709-016-0371-9

Abstract: Structural dynamic characteristics are the most significant parameters that play a decisive role in structuralThe complexity of structural damping mechanisms has made this parameter to be one of the ongoing researchand nonlinear models which are described as the energy dissipation throughout viscous, material or structuralresponses plays an important role in structural identification process.In this paper model-based damping approximation method and a model-less structural input estimation are

Keywords： structural modal parameters damping identification method input excitation force identification Inverse

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Effects of green roof damping and configuration on structural seismic response

Frontiers of Structural and Civil Engineering Pages 1133-1144 doi: 10.1007/s11709-023-0959-9

Abstract: Hence, their structural resilience or ability to recover from natural events must be considered comprehensively, nonlinear time-history analyses are conducted on a three-story building in SAP2000 to monitor the structuralThe increased damping in the green roof soil is beneficial to the structural performance, i.e., it reducesAdditionally, certain configurations are more effective and beneficial to the structural response thanBased on the findings of this study, new methods of modeling and considering green roofs in structural

Keywords： green infrastructure green roof structural resilience seismic design

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Development of an integrated structural health monitoring system for bridge structures in operational

Xinqun ZHU, Hong HAO

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 3, Pages 321-333 doi: 10.1007/s11709-012-0161-y

Abstract: This paper presents an overview of development of an integrated structural health monitoring system.The integrated system includes vibration and guided-wave based structural health monitoring.system under operational conditions and structural evaluation.The study is mainly focused on developing: integrated sensor technology, integrated structural damageidentification with operational loads monitoring, and integrated structural evaluation with results

Keywords： integrated structural health monitoring operational conditions vibration and guided wave

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Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1, Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: This paper presents a new approach for automatical classification of structural state through deep learningextraction and classification blocks into an intelligent and compact learning system and detect the structuralstate of a steel frame; the input was a series of vibration signals, and the output was a structuralIt is demonstrated that: 1) the CNN can extract the structural state information from the vibration signals

Keywords： structural state detection deep learning digital image correlation vibration signal steel frame

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Identification of structural parameters and boundary conditions using a minimum number of measurement

Ali KARIMPOUR, Salam RAHMATALLA

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6, Pages 1331-1348 doi: 10.1007/s11709-020-0686-4

Abstract: Regression surfaces between the structural parameters and structural output features, represented byAn inverse iterative process is then applied to identify the structural parameters by matching the experimentalthe proposed method will have practical applications in the identification and analysis of restored structural

Keywords： structural model validation eigenvalue problem response surface inverse problems

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Advanced analysis for structural steel building design

CHEN Wai Fah

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 3, Pages 189-196 doi: 10.1007/s11709-008-0024-8

Abstract: The 2005 AISC LRFD Specifications for Structural Steel Buildings are making it possible for designersto recognize explicitly the structural resistance provided within the elastic and inelastic ranges ofawareness of the need for practical second-order analysis approaches for a direct determination of overall structural

Keywords： building Specifications comprehensive introduction structural resistance traditional

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Estimation of optimum design of structural systems via machine learning

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6, Pages 1441-1452 doi: 10.1007/s11709-021-0774-0

Abstract: Three different structural engineering designs were investigated to determine optimum design variablesTo explore the estimation success of ANN models, different test cases were proposed for the three structural

Keywords： optimization metaheuristic algorithms harmony search structural designs machine learning artificial

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Proposal of a probabilistic assessment of structural collapse concomitantly subject to earthquake and

Gholamreza ABDOLLAHZADEH, Hadi FAGHIHMALEKI

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 3, Pages 425-437 doi: 10.1007/s11709-017-0427-5

Abstract: In the second step, having the structural destructions of the first step in view, a pushdown analysisFinally, the annual probability of structural collapse under simultaneous earthquake and blast loads

Keywords： gas blast pushdown analysis progressive collapse annual probability of structural collapse 3D model of

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Stress-strain relationship with soil structural parameters of collapse loess

SHAO Shengjun, LONG Jiyong, YU Qinggao

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 2, Pages 151-160 doi: 10.1007/s11709-008-0020-z

Abstract: tri-axial shearing tests of unsaturated intact loess and based on the concept of comprehensive soil structuralpotential, this paper reveals the changing laws of soil structural property under the tri-axial stressconditions and establishes a mathematical expression equation of structural parameters, whereby reflectingstrain states, which is introduced into the shearing stress and shearing strain relation to obtain the structural

Keywords： hardening shearing expansion unsaturated structural property mathematical expression

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XFEM schemes for level set based structural optimization

Li LI, Michael Yu WANG, Peng WEI

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4, Pages 335-356 doi: 10.1007/s11465-012-0351-2

Abstract:

In this paper, some elegant extended finite element method (XFEM) schemes for level set method structuralto evaluate their accuracy, which indicate that an accurate analysis result can be obtained on the structuralreducing the time cost and that higher order XFEM elements can improve the computational accuracy of structuralAll numerical results demonstrate that the proposed XFEM is a promising structural analysis approachfor structural optimization with the level set method.

Keywords： structural optimization level set method extended finite element method (XFEM) computational accuracy