Remote Hybrid Testing on Bridge System

2013 ◽  
Vol 639-640 ◽  
pp. 1175-1179
Author(s):  
Yun Lei Fan ◽  
Yan Xiao ◽  
Yu Rong Guo ◽  
Tao Yuan
Keyword(s):  
Seismic Performance ◽  
Large Scale ◽  
University Of Southern California ◽  
Single Test ◽  
Hybrid Testing ◽  
Tsinghua University ◽  
Geographically Distributed ◽  
Institute Of Technology ◽  
The University ◽  
Bridge System

A networked structural laboratories system for evaluating the seismic performance of large-scale structure systems by seamlessly integrating geographically distributed experimental and computational substructures into a single test is described in this paper. It consists of an independent network based communication platform and various applications. The effectiveness of the proposed system is demonstrated by remote hybrid tests of a six-span bridge system at the Hunan University, Harbin Institute of Technology, Tsinghua University, China and the University of Southern California, USA. Successful application shows the system enables the shared use of testing resources by integrating single structural laboratories into a powerful and networked laboratory with advanced capability.

scholarly journals Seismic performance analysis and assessment of a precast bridge computational model

DYNA ◽  
2020 ◽  
Vol 87 (212) ◽  
pp. 80-89
Author(s):  
José Benjumea ◽  
Mehdi Saiidi ◽  
Ahmad Itani
Keyword(s):  
Performance Analysis ◽  
Computational Model ◽  
Seismic Performance ◽  
Earthquake Engineering ◽  
Large Scale ◽  
Three Dimensional ◽  
Shake Table ◽  
Bridge Model ◽  
Precast Elements ◽  
The University

A large-scale, two-span bridge model constructed by assembling precast elements was tested under a series of bi-axial ground motionssimulated on a shake table at the Earthquake Engineering Laboratory at the University of Nevada, Reno. The response of the bridge wasestimated before the tests using a three-dimensional computational model developed in OpenSees software. After the tests, key measuredseismic responses were compared to those predicted by the computational model to assess the modeling assumptions. Relatively largeerrors for the displacements, base shears, and hysteretic response of the bridge were observed. The influence of the earthquake loading,materials, connectivity of the precast elements, and boundary conditions in the computational model on the errors are discussed in thispaper. Future modeling directions are proposed to reduce these errors.

scholarly journals Meet the APSA Council and Officers

2012 ◽  
Vol 45 (01) ◽  
pp. 151-154
Keyword(s):  
Harvard University ◽  
University Of California ◽  
Massachusetts Institute ◽  
University Of Southern California ◽  
Massachusetts Institute Of Technology ◽  
New Members ◽  
Reed College ◽  
Institute Of Technology ◽  
The University ◽  
University Of Manchester

As noted in the October issue ofPS, G. Bingham Powell, Jr., the Marie E .and Joseph C. Wilson Professor of Political Science at the University of Rochester, became APSA's 108th president on September 4, 2011, at the close of the APSA Annual Meeting. Eight new members of the APSA council were elected fall 2011. The new members are Paul Gronke, Reed College; Ange-Marie Hancock, University of Southern California; David A. Lake, University of California, San Diego; Taeku Lee, University of California, Berkeley; Kenneth J. Meier, Texas A&M University; Kathleen Thelen, Massachusetts Institute of Technology; Stephen M. Walt, Harvard University; and Angelia R. Wilson, University of Manchester.

Substituted Benzenes: The Li Synthesis of Rubriflordilactone A

2017 ◽  
Author(s):  
Douglass F. Taber
Keyword(s):  
Iron Catalyst ◽  
Diels Alder ◽  
University Of California ◽  
Indiana University ◽  
Tsinghua University ◽  
College Of Technology ◽  
Osaka Prefecture ◽  
Crude Reaction Mixture ◽  
Institute Of Technology ◽  
The University

Cheol-Hong Cheon of Korea University (J. Org. Chem. 2014, 79, 7277) and Toshiyuki Kamei and Toyoshi Shimada of the Nara National College of Technology (Tetrahedron Lett. 2014, 55, 4245) described the ring bromination of arene boronates. The boronate can then be removed, enabling the conversion of 1 to 2. Yu Rao of Tsinghua University constructed (Chem. Commun. 2014, 50, 15037) the sulfone 5 by coupling the arenes 3 and 4 with K2S2O8. Igor Larrosa of Queen Mary University of London assembled (Chem. Sci. 2014, 5, 3509) the biphenyl 8 by arylating 6 with the iodide 7. Guy Bertrand of the University of California, San Diego showed (J. Am. Chem. Soc. 2014, 136, 13594) that under Au catalysis, the aniline 9 was sufficiently nucleophilic to add in a conjugate sense to the enone 10 to give 11. Hideo Togo of Chiba University optimized (Eur. J. Org. Chem. 2014, 6077) condi­tions for the selective ortho formylation of a phenol 12. The crude reaction mixture could also be directly oxidized with I2/ NH3 to give the nitrile 13. Silas P. Cook of Indiana University ortho metalated (J. Am. Chem. Soc. 2014, 136, 13130; Angew. Chem. Int. Ed. 2014, 53, 11065) the benzamide 14, then used an iron catalyst to couple that intermediate with a halide 15, leading to the alkylated product 16. As with the phenol 12 and the benzamide 14, aromatic functionalization has usu­ally been directed by a functional group directly attached to the ring. Daqin Shi and Yingsheng Zhao of Soochow University showed (Chem. Sci. 2014, 5, 4962) that a longer tether can be effective, as illustrated by the conversion of 17 to 19. Debabrata Maiti of the Indian Institute of Technology Bombay also used (Org. Lett. 2014, 16, 5760) a longer tether for the selective meta functionalization of 20 to 22. Motohiro Sonoda of Osaka Prefecture University constructed (Tetrahedron Lett. 2014, 55, 5302) the phenol 25 by acid-mediated rearrangement of the Diels–Alder adduct of 24 with the furan 23. Anthony G. M. Barrett of Imperial College London devised (J. Org. Chem. 2014, 79, 8706) conditions for the iodinative cyclization of 26 to 27.

scholarly journals Importance of self-connections for brain connectivity and spectral connectomics

2020 ◽  
Vol 114 (6) ◽  
pp. 643-651
Author(s):  
Xiao Gao ◽  
P. A. Robinson
Keyword(s):  
Large Scale ◽  
Brain Connectivity ◽  
Brain Regions ◽  
University Of Southern California ◽  
Case Control Studies ◽  
Common Procedure ◽  
Local Inhibition ◽  
Neural Field Theory ◽  
Diagonal Forms ◽  
The University

AbstractSpectral analysis and neural field theory are used to investigate the role of local connections in brain connectivity matrices (CMs) that quantify connectivity between pairs of discretized brain regions. This work investigates how the common procedure of omitting such self-connections (i.e., the diagonal elements of CMs) in published studies of brain connectivity affects the properties of functional CMs (fCMs) and the mutually consistent effective CMs (eCMs) that correspond to them. It is shown that retention of self-connections in the fCM calculated from two-point activity covariances is essential for the fCM to be a true covariance matrix, to enable correct inference of the direct total eCMs from the fCM, and to ensure their compatibility with it; the deCM and teCM represent the strengths of direct connections and all connections between points, respectively. When self-connections are retained, inferred eCMs are found to have net inhibitory self-connections that represent the local inhibition needed to balance excitation via white matter fibers at longer ranges. This inference of spatially unresolved connectivity exemplifies the power of spectral connectivity methods, which also enable transformation of CMs to compact diagonal forms that allow accurate approximation of the fCM and total eCM in terms of just a few modes, rather than the full $$N^2$$ N 2 CM entries for connections between N brain regions. It is found that omission of fCM self-connections affects both local and long-range connections in eCMs, so they cannot be omitted even when studying the large-scale. Moreover, retention of local connections enables inference of subgrid short-range inhibitory connectivity. The results are verified and illustrated using the NKI-Rockland dataset from the University of Southern California Multimodal Connectivity Database. Deletion of self-connections is common in the field; this does not affect case-control studies but the present results imply that such fCMs must have self-connections restored before eCMs can be inferred from them.

Pursuing the developmental aims of the triarchic model of psychopathy: Creation and validation of triarchic scales for use in the USC: RFAB longitudinal twin project

2021 ◽  
pp. 1-16
Author(s):  
Bridget M. Bertoldi ◽  
Emily R. Perkins ◽  
Catherine Tuvblad ◽  
Sofi Oskarsson ◽  
Mark D. Kramer ◽  
...  
Keyword(s):  
Antisocial Behavior ◽  
Large Scale ◽  
Longitudinal Research ◽  
Temporal Stability ◽  
Self Report ◽  
University Of Southern California ◽  
Externalizing Psychopathology ◽  
The University ◽  
Triarchic Model

Abstract The triarchic model was advanced as an integrative, trait-based framework for investigating psychopathy using different assessment methods and across developmental periods. Recent research has shown that the triarchic traits of boldness, meanness, and disinhibition can be operationalized effectively in youth, but longitudinal research is needed to realize the model's potential to advance developmental understanding of psychopathy. We report on the creation and validation of scale measures of the triarchic traits using questionnaire items available in the University of Southern California Risk Factors for Antisocial Behavior (RFAB) project, a large-scale longitudinal study of the development of antisocial behavior that includes measures from multiple modalities (self-report, informant rating, clinical-diagnostic, task-behavioral, physiological). Using a construct-rating and psychometric refinement approach, we developed triarchic scales that showed acceptable reliability, expected intercorrelations, and good temporal stability. The scales showed theory-consistent relations with external criteria including measures of psychopathy, internalizing/externalizing psychopathology, antisocial behavior, and substance use. Findings demonstrate the viability of measuring triarchic traits in the RFAB sample, extend the known nomological network of these traits into the developmental realm, and provide a foundation for follow-up studies examining the etiology of psychopathic traits and their relations with multimodal measures of cognitive-affective function and proneness to clinical problems.

The Effects of Presentation on Noise and Dental Appliances on Speech

1981 ◽  
Vol 24 (1) ◽  
pp. 151-151
Author(s):  
Lillian Glass ◽  
Sharon R. Garber ◽  
T. Michael Speidel ◽  
Gerald M. Siegel ◽  
Edward Miller
Keyword(s):  
Southern California ◽  
University Of Southern California ◽  
University Of Minnesota ◽  
School Of Medicine ◽  
Southern California School ◽  
School Of Dentistry ◽  
The University

An omission in the Table of Contents, December JSHR, has occurred. Lillian Glass, Ph.D., at the University of Southern California School of Medicine and School of Dentistry, was a co-author of the article "The Effects of Presentation on Noise and Dental Appliances on Speech" along with Sharon R. Garber, T. Michael Speidel, Gerald M. Siegel, and Edward Miller of the University of Minnesota, Minneapolis.

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