scispace - formally typeset
Search or ask a question
Institution

University of Akron

EducationAkron, 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.


Papers
More filters
Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
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

NameH-indexPapersCitations
Pulickel M. Ajayan1761223136241
Alan J. Heeger171913147492
Josef M. Penninger154700107295
Liming Dai14178182937
Chao Zhang127311984711
Ulrich S. Schubert122222985604
Vijay P. Singh106169955831
Andrea Natale10694552520
Bruce J. Avolio10522069603
Thomas A. Lipo10368243110
Virgil Percec10179842465
Chang Liu97109939573
Gareth H. McKinley9746734624
Paul J. Flory9324759120
Soo-Jin Park86128237204
Network Information
Related Institutions (5)
Case Western Reserve University
106.5K papers, 5M citations

88% related

University of Massachusetts Amherst
83.9K papers, 3.8M citations

88% related

University of Connecticut
81.2K papers, 2.9M citations

87% related

Pennsylvania State University
196.8K papers, 8.3M citations

87% related

University of Texas at Austin
206.2K papers, 9M citations

86% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202318
2022111
2021692
2020742
2019862
2018917