Institution
Georgia Institute of Technology
Education•Atlanta, Georgia, United States•
About: Georgia Institute of Technology is a education organization based out in Atlanta, Georgia, United States. It is known for research contribution in the topics: Population & Computer science. The organization has 45387 authors who have published 119086 publications receiving 4651220 citations.
Topics: Population, Computer science, Nonlinear system, Context (language use), Finite element method
Papers published on a yearly basis
Papers
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TL;DR: Sensitive and multicolor fluorescence imaging of cancer cells under in vivo conditions are achieved and a whole-body macro-illumination system with wavelength-resolved spectral imaging is integrated for efficient background removal and precise delineation of weak spectral signatures.
Abstract: We describe the development of multifunctional nanoparticle probes based on semiconductor quantum dots (QDs) for cancer targeting and imaging in living animals. The structural design involves encapsulating luminescent QDs with an ABC triblock copolymer and linking this amphiphilic polymer to tumor-targeting ligands and drug-delivery functionalities. In vivo targeting studies of human prostate cancer growing in nude mice indicate that the QD probes accumulate at tumors both by the enhanced permeability and retention of tumor sites and by antibody binding to cancer-specific cell surface biomarkers. Using both subcutaneous injection of QD-tagged cancer cells and systemic injection of multifunctional QD probes, we have achieved sensitive and multicolor fluorescence imaging of cancer cells under in vivo conditions. We have also integrated a whole-body macro-illumination system with wavelength-resolved spectral imaging for efficient background removal and precise delineation of weak spectral signatures. These results raise new possibilities for ultrasensitive and multiplexed imaging of molecular targets in vivo.
4,634 citations
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TL;DR: In this paper, the authors present methods for assessing agreement among the judgments made by a single group of judges on a single variable in regard to a single target, such as a manuscript, a lower-level manager, or a team.
Abstract: : This article presents methods for assessing agreement among the judgments made by a single group of judges on a single variable in regard to a single target. For example, the group of judges could be editorial consultants, members of an assessment center, or members of a team. The single target could be a manuscript, a lower-level manager, or a team. The variable on which the target is judged could be overall publishability in the case of the manuscript, managerial potential for the lower-level manager, or team cooperativeness for the team. The methods presented are based on new procedures for estimating interrater reliability. For situations such as the above, these procedures are shown to furnish more accurate and interpretable estimates of agreement than estimates provided by procedures commonly used to estimate agreement, consistency, or interrater reliability. In addition, the proposed methods include processes for controlling for the spurious influences of response biases (e.g., positive leniency, social desirability) on estimates of interrater reliability. (Author)
4,460 citations
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TL;DR: Focusing on how fractal geometry can be used to model real objects in the physical world, this up-to-date edition featurestwo 16-page full-color inserts, problems and tools emphasizing fractal applications, and an answers section.
Abstract: Focusing on how fractal geometry can be used to model real objects in the physical world, this up-to-date edition featurestwo 16-page full-color inserts, problems and tools emphasizing fractal applications, and an answers section. A bonus CD of an IFS Generator provides an excellent software tool for designing iterated function systems codes and fractal images.
4,361 citations
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02 Jul 2001TL;DR: Covering the basic techniques used in the latest research work, the author consolidates progress made so far, including some very recent and promising results, and conveys the beauty and excitement of work in the field.
Abstract: Covering the basic techniques used in the latest research work, the author consolidates progress made so far, including some very recent and promising results, and conveys the beauty and excitement of work in the field. He gives clear, lucid explanations of key results and ideas, with intuitive proofs, and provides critical examples and numerous illustrations to help elucidate the algorithms. Many of the results presented have been simplified and new insights provided. Of interest to theoretical computer scientists, operations researchers, and discrete mathematicians.
4,290 citations
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TL;DR: Routing protocols for ad hoc networks are examined by providing an overview of eight different protocols by presenting their characteristics and functionality, and then a comparison and discussion of their respective merits and drawbacks are provided.
Abstract: An ad hoc mobile network is a collection of mobile nodes that are dynamically and arbitrarily located in such a manner that the interconnections between nodes are capable of changing on a continual basis. In order to facilitate communication within the network, a routing protocol is used to discover routes between nodes. The primary goal of such an ad hoc network routing protocol is correct and efficient route establishment between a pair of nodes so that messages may be delivered in a timely manner. Route construction should be done with a minimum of overhead and bandwidth consumption. This article examines routing protocols for ad hoc networks and evaluates these protocols based on a given set of parameters. The article provides an overview of eight different protocols by presenting their characteristics and functionality, and then provides a comparison and discussion of their respective merits and drawbacks.
4,278 citations
Authors
Showing all 45752 results
Name | H-index | Papers | Citations |
---|---|---|---|
Zhong Lin Wang | 245 | 2529 | 259003 |
Younan Xia | 216 | 943 | 175757 |
Paul M. Thompson | 183 | 2271 | 146736 |
Hyun-Chul Kim | 176 | 4076 | 183227 |
Jiawei Han | 168 | 1233 | 143427 |
John H. Seinfeld | 165 | 921 | 114911 |
David J. Mooney | 156 | 695 | 94172 |
Richard E. Smalley | 153 | 494 | 111117 |
Vivek Sharma | 150 | 3030 | 136228 |
James M. Tiedje | 150 | 688 | 102287 |
Philip S. Yu | 148 | 1914 | 107374 |
Kevin Murphy | 146 | 728 | 120475 |
Gordon T. Richards | 144 | 613 | 110666 |
Yi Yang | 143 | 2456 | 92268 |
Joseph T. Hupp | 141 | 731 | 82647 |