نتایج جستجو برای: 3d structure

تعداد نتایج: 1722805  

2008
Young Yun Han-Nah Joh Young-Bae Park Se-Ho Kim

In this work, a 3D capacitive coupling structure employing periodic pattern was used for application to miniaturized on-chip passive components on MMIC (Monolithic Microwave Integrated Circuit). Unlike conventional periodic structure, the characteristic impedance of the 3D capacitive coupling structure was hardly dependent on frequency. Using the 3D capacitive coupling structure, RF passive com...

2007
Yanli Wang Kenneth J. Addess Jie Chen Lewis Y. Geer Jane He Siqian He Shennan Lu Thomas Madej Aron Marchler-Bauer Paul A. Thiessen Naigong Zhang Stephen H. Bryant

Three-dimensional (3D) structure is now known for a large fraction of all protein families. Thus, it has become rather likely that one will find a homolog with known 3D structure when searching a sequence database with an arbitrary query sequence. Depending on the extent of similarity, such neighbor relationships may allow one to infer biological function and to identify functional sites such a...

Journal: :Journal of Physics: Conference Series 2012

1999
Tony Jebara Ali Azarbayejani

In their day-to-day lives, people naturally understand and operate in a three dimensional world. Curiously, though, they only sense 2D projections of it. The seemingly e ortless act of inferring 3D from 2D observations is the result of complex mechanisms that are still quite far from being resolved. For many years, this task has been considered the primary role of visual processing. Pioneers in...

2009
Dara Van Gough Abigail T. Juhl Paul V. Braun

JUNE 2009 | VOLUME 12 | NUMBER 6 28 The selfand directed assembly of materials has been of considerable interest for a number of years, however only recently has it become possible to program structure and properties on the nanoscale with the precision required for a number of important applications. It is now possible to define, with nanometer accuracy, the complete 3D structure of functional ...

1994
Rolf D. Henkel Gerhard Roth Helmut Schwegler

Zusammenfassung In principle, stereo vision can be used to create a three-dimensional representation for the surrounding world. In practice, most stereo algorithms fail to do so securely. Schemes to overcome intrinsic problems of common stereo algorithms are investigated and new collective algorithms proposed. Possible neural implementations are discussed.

2012
Ramesh K. Jha Charlie E.M. Strauss

The p21-activated kinase (PAK) family plays a versatile role in cell signaling by forming a hub of interactions. PAKs bind the GTPases like RAC and CDC42. Their proline-rich motifs bind SH3 adaptor proteins such as PIX and NCK. PAKs display nuclear localization signal sites and a potential Integrin binding site. No fully complete structure of the PAKs has been published; partial 3D structures o...

Journal: :Trends in neurosciences 2006
Guy A Orban Peter Janssen Rufin Vogels

The neural mechanisms of stereoscopic 3D shape perception have only recently been investigated. Here we review the two cortical regions in which these mechanisms have been studied so far in macaques: a small subpart of inferotemporal cortex called TEs, and the caudal intraparietal (CIP) region. Neurons in TEs respond selectively to the orientation and curvature in depth of stereoscopic surfaces...

Journal: :Nucleic acids research 1999
Aron Marchler-Bauer Kenneth J. Addess Colombe Chappey Lewis Y. Geer Thomas Madej Yo Matsuo Yanli Wang Stephen H. Bryant

Three-dimensional structures are now known within most protein families and it is likely, when searching a sequence database, that one will identify a homolog of known structure. The goal of Entrez's 3D-structure database is to make structure information and the functional annotation it can provide easily accessible to molecular biologists. To this end, Entrez's search engine provides several p...

2016
Jiajun Wu Tianfan Xue Joseph J. Lim Yuandong Tian Joshua B. Tenenbaum Antonio Torralba William T. Freeman

Understanding 3D object structure from a single image is an important but difficult task in computer vision, mostly due to the lack of 3D object annotations in real images. Previous work tackles this problem by either solving an optimization task given 2D keypoint positions, or training on synthetic data with ground truth 3D information. In this work, we propose 3D INterpreter Network (3D-INN),...

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