Institution
University of Akron
Education•Akron, Ohio, United States•
About: University of Akron is a education organization based out in Akron, Ohio, United States. It is known for research contribution in the topics: Polymer & Polymerization. The organization has 17401 authors who have published 29127 publications receiving 702386 citations. The organization is also known as: The University of Akron.
Topics: Polymer, Polymerization, Natural rubber, Copolymer, Monomer
Papers published on a yearly basis
Papers
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TL;DR: This review paper accounts several kinds of polymeric scaffolds prepared/modified via "click" reactions, with emphasis on their synthetic/functionalized strategies, tunable properties, and biomedical applications.
164 citations
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TL;DR: This paper presents an endeavor to exploit a robust multi-gene genetic programming (MGGP) method for the analysis of geotechnical and earthquake engineering systems and shows the superb accuracy, efficiency, and great potential of MGGP.
Abstract: Complexity of analysis of geotechnical behavior is due to multivariable dependencies of soil and rock responses. In order to cope with this complex behavior, traditional forms of engineering design solutions are reasonably simplified. Incorporating simplifying assumptions into the development of the traditional methods may lead to very large errors. This paper presents an endeavor to exploit a robust multi-gene genetic programming (MGGP) method for the analysis of geotechnical and earthquake engineering systems. MGGP is a modified genetic programming approach for model structure selection combined with a classical technique for parameter estimation. To justify the abilities of MGGP, it is systematically employed to formulate the complex geotechnical engineering problems. Different classes of the problems analyzed include the assessment of (i) undrained lateral load capacity of piles, (ii) undrained side resistance alpha factor for drilled shafts, (iii) settlement around tunnels, and (iv) soil liquefaction. The validity of the derived models is tested for a part of test results beyond the training data domain. Numerical examples show the superb accuracy, efficiency, and great potential of MGGP. Contrary to artificial neural networks and many other soft computing tools, MGGP provides constitutive prediction equations. The MGG-based solutions are particularly valuable for pre-design practices.
164 citations
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TL;DR: The MRNI-R as discussed by the authors assesses only traditional male role norms (thus dropping the traditional female role norms) and is based on the revised version of the Male Role Norms Inventory (MRNI).
Abstract: This article reports the results of the initial evaluation of the revised version of the Male Role Norms Inventory (MRNI-R). The MRNI-R assesses only traditional male role norms (thus dropping the ...
164 citations
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TL;DR: In this article, the affinities of simple cyclic and linear dipeptides and of selected derivatives were determined in the gas phase based on the dissociations of Na+-bound heterodimers.
Abstract: The Na+ affinities of simple cyclic and linear dipeptides and of selected derivatives are determined in the gas-phase based on the dissociations of Na+-bound heterodimers [peptide + Bi]Na+, in whic...
164 citations
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TL;DR: In this article, the authors describe a micromachined Coulter counter with multiple sensing microchannels for quantitative measurement of polymethacrylate particles and pollen, which is appropriate for the sensing of microscale particles in deionized water or in dilute electrolyte solution.
Abstract: We describe a micromachined Coulter counter with multiple sensing microchannels for quantitative measurement of polymethacrylate particles and pollen. A unique design with sensing microelectrodes in the center of the microchannels is demonstrated. This design creates isolation resistances among channels, and thus circumvents the crosstalk caused by automatic electrical connection among microchannels. When implemented using microfluidic channels, this design is appropriate for the sensing of microscale particles in deionized water or in dilute electrolyte solution. Our design has multiple channels operating in parallel, but integrated with just one sample reservoir and one power source. The results with a four-channel device show that this device is capable of differentiating and counting micro polymethacrylate particles and Juniper pollen rapidly. Moreover, the device throughput is improved significantly in comparison to a single-channel device. The concept can be extended to a large number of sensing channels in a single chip for significant improvement in throughput.
163 citations
Authors
Showing all 17460 results
Name | H-index | Papers | Citations |
---|---|---|---|
Pulickel M. Ajayan | 176 | 1223 | 136241 |
Alan J. Heeger | 171 | 913 | 147492 |
Josef M. Penninger | 154 | 700 | 107295 |
Liming Dai | 141 | 781 | 82937 |
Chao Zhang | 127 | 3119 | 84711 |
Ulrich S. Schubert | 122 | 2229 | 85604 |
Vijay P. Singh | 106 | 1699 | 55831 |
Andrea Natale | 106 | 945 | 52520 |
Bruce J. Avolio | 105 | 220 | 69603 |
Thomas A. Lipo | 103 | 682 | 43110 |
Virgil Percec | 101 | 798 | 42465 |
Chang Liu | 97 | 1099 | 39573 |
Gareth H. McKinley | 97 | 467 | 34624 |
Paul J. Flory | 93 | 247 | 59120 |
Soo-Jin Park | 86 | 1282 | 37204 |