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Li, Gang,Lin, Weili,Gilmore, John H.,Shen, Dinggang Society for Neuroscience 2015 The Journal of neuroscience Vol.35 No.24
<P>Cortical thickness (CT) is related to normal development and neurodevelopmental disorders. It remains largely unclear how the characteristic patterns of CT evolve in the first 2 years. In this paper, we systematically characterized for the first time the detailed vertex-wise patterns of spatial distribution, longitudinal development, and hemispheric asymmetries of CT at 0, 1, and 2 years of age, via surface-based analysis of 219 longitudinal magnetic resonance images from 73 infants. Despite the dynamic increase of CT in the first year and the little change of CT in the second year, we found that the overall spatial distribution of thin and thick cortices was largely present at birth, and evolved only modestly during the first 2 years. Specifically, the precentral gyrus, postcentral gyrus, occipital cortex, and superior parietal region had thin cortices, whereas the prefrontal, lateral temporal, insula, and inferior parietal regions had thick cortices. We revealed that in the first year thin cortices exhibited low growth rates of CT, whereas thick cortices exhibited high growth rates. We also found that gyri were thicker than sulci, and that the anterior bank of the central sulcus was thicker than the posterior bank. Moreover, we showed rightward hemispheric asymmetries of CT in the lateral temporal and posterior insula regions at birth, which shrank gradually in the first 2 years, and also leftward asymmetries in the medial prefrontal, paracentral, and anterior cingulate cortices, which expanded substantially during this period. This study provides the first comprehensive picture of early patterns and evolution of CT during infancy.</P>
Energy-based damage index for steel structures
E. Bojórquez,A. Terán-Gilmore,S.E. Ruiz,A. Reyes-Salazar 국제구조공학회 2010 Steel and Composite Structures, An International J Vol.10 No.4
Ample research effort has been oriented into developing damage indices with the aim of estimating in a reasonable manner the consequences, in terms of structural damage and deterioration, of severe plastic cycling. Although several studies have been devoted to calibrate damage indices for steel and reinforced concrete members; currently, there is a challenge to study and calibrate the use of such indices for the practical evaluation of complex structures. The aim of this paper is to introduce an energy-based damage index for multi-degree-offreedom steel buildings that accounts explicitly for the effects of cumulative plastic deformation demands. The model has been developed by complementing the results obtained from experimental testing of steel members with those derived from analytical studies regarding the distribution of plastic demands on several steel frames designed according to the Mexico City Building Code. It is concluded that the approach discussed herein is a promising tool for practical structural evaluation of framed structures subjected to large energy demands.
B40 fullerene: An efficient material for CO2 capture, storage and separation
Huilong Dong,Bin Lin,Keith Gilmore,Tingjun Hou,Shuit-Tong Lee,Youyong Li 한국물리학회 2015 Current Applied Physics Vol.15 No.9
Novel nanomaterials are promising for capture, storage and separation of CO2. By density functional calculations, we find that the newly discovered B40 fullerene is a suitable candidate. CO2 forms stable chemisorptions with B40 on specific sites, which is validated by the high adsorption energy, large charge transfer, and kinetic feasibility for B40(CO2) complexes. Due to the strong chemisorption, B40 shows high adsorption capacity for CO2 (up to 13.87 mmol/g). In addition, B40 shows good selectivity for CO2 and is efficient in separating it from gas mixtures like CO2/N2, CO2/H2, and CO2/CH4.
Machine-to-Machine (M2M) Communications in Vehicular Networks
( M. J. Booysen ),( J. S. Gilmore ),( S. Zeadally ),( G. J. Van Rooyen ) 한국인터넷정보학회 2012 KSII Transactions on Internet and Information Syst Vol.6 No.2
To address the need for autonomous control of remote and distributed mobile systems, Machine-to-Machine (M2M) communications are rapidly gaining attention from both academia and industry. M2M communications have recently been deployed in smart grid, home networking, health care, and vehicular networking environments. This paper focuses on M2M communications in the vehicular networking context and investigates areas where M2M principles can improve vehicular networking. Since connected vehicles are essentially a network of machines that are communicating, preferably autonomously, vehicular networks can benefit a lot from M2M communications support. The M2M paradigm enhances vehicular networking by supporting large-scale deployment of devices, cross-platform networking, autonomous monitoring and control, visualization of the system and measurements, and security. We also present some of the challenges that still need to be addressed to fully enable M2M support in the vehicular networking environment. Of these, component standardization and data security management are considered to be the most significant challenges.
Prediction of hysteretic energy demands in steel frames using vector-valued IMs
Edén Bojórquez,Laura Astorga,Alfredo Reyes-Salazar,Amador Terán-Gilmore,Juan Velázquez-Dimas,Juan Bojórquez,Luz Rivera 국제구조공학회 2015 Steel and Composite Structures, An International J Vol.19 No.3
It is well known the importance of considering hysteretic energy demands for the seismic assessment and design of structures. In such a way that it is necessary to establish new parameters of the earthquake ground motion potential able to predict energy demands in structures. In this paper, several alternative vector-valued ground motion intensity measures (IMs) are used to estimate hysteretic energy demands in steel framed buildings under long duration narrow-band ground motions. The vectors are based on the spectral acceleration at first mode of the structure Sa(T1) as first component. As the second component, IMs related to peak, integral and spectral shape parameters are selected. The aim of the study is to provide new parameters or vector-valued ground motion intensities with the capacity of predicting energy demands in structures. It is concluded that spectral-shape-based vector-valued IMs. have the best relation with hysteretic energy demands in steel frames subjected to narrow-band earthquake ground motions.