scispace - formally typeset
Search or ask a question
Institution

Lehigh University

EducationBethlehem, Pennsylvania, United States
About: Lehigh University is a education organization based out in Bethlehem, Pennsylvania, United States. It is known for research contribution in the topics: Catalysis & Fracture mechanics. The organization has 12684 authors who have published 26550 publications receiving 770061 citations.


Papers
More filters
Proceedings ArticleDOI
04 Feb 2013
TL;DR: This paper builds predictive models for user decisions in Twitter by proposing Co-Factorization Machines (CoFM), an extension of a state-of-the-art recommendation model, to handle multiple aspects of the dataset at the same time, and concludes that CoFM with ranking-based loss functions is superior to state of theart methods and yields interpretable latent factors.
Abstract: Users of popular services like Twitter and Facebook are often simultaneously overwhelmed with the amount of information delivered via their social connections and miss out on much content that they might have liked to see, even though it was distributed outside of their social circle. Both issues serve as difficulties to the users and drawbacks to the services.Social media service providers can benefit from understanding user interests and how they interact with the service, potentially predicting their behaviors in the future. In this paper, we address the problem of simultaneously predicting user decisions and modeling users' interests in social media by analyzing rich information gathered from Twitter. The task differs from conventional recommender systems as the cold-start problem is ubiquitous, and rich features, including textual content, need to be considered. We build predictive models for user decisions in Twitter by proposing Co-Factorization Machines (CoFM), an extension of a state-of-the-art recommendation model, to handle multiple aspects of the dataset at the same time. Additionally, we discuss and compare ranking-based loss functions in the context of recommender systems, providing the first view of how they vary from each other and perform in real tasks. We explore an extensive set of features and conduct experiments on a real-world dataset, concluding that CoFM with ranking-based loss functions is superior to state-of-the-art methods and yields interpretable latent factors.

199 citations

Journal ArticleDOI
TL;DR: In this paper, the authors propose a multi-faceted approach for fashioning theoretical contributions in review articles, which they hope will inspire more authors to develop and submit innovative, original, and high quality theory-building review articles.
Abstract: Reviewing a body of work presents unique opportunities for making a theoretical contribution. Review articles can make readers think theoretically differently about a given field or phenomenon. Yet, review articles that advance theory have been historically under‐represented in Journal of Management Studies. Accordingly, the purpose of this editorial is to propose a multi‐faceted approach for fashioning theoretical contributions in review articles, which we hope will inspire more authors to develop and submit innovative, original, and high‐quality theory‐building review articles. We argue that advancing theory with review articles requires an integrative and generative approach. We propose a non‐exhaustive set of avenues for developing theory with a review article: exposing emerging perspectives, analysing assumptions, clarifying constructs, establishing boundary conditions, testing new theory, theorizing with systems theory, and theorizing with mechanisms. As a journal, Journal of Management Studies is a journal of ideas – new ideas; ideas drawn from reflections on extant theory and ideas with potential to change the way we understand and interpret theory. With this in mind, we think that advancing theory with review articles is an untapped source of new ideas.

199 citations

Journal ArticleDOI
TL;DR: In this article, the authors present a modal theory of self-trapping spatially incoherent light beams in any general nonlinear media, and find that a selftrapped incoherent beam induces a multimode waveguide which guides the beam itself by multiply populating the guided modes.
Abstract: We present a modal theory of self-trapping spatially incoherent light beams in any general nonlinear media. We find that a self-trapped incoherent beam induces a multimode waveguide which guides the beam itself by multiply populating the guided modes. The self-trapping process alters the statistics of the incoherent beam, rendering it localized. We find the conditions for self-trapping (``existence region'' in parameter space) and the correlation function of the incoherent self-trapped beam.

199 citations

Journal ArticleDOI
Fazil Erdogan1
TL;DR: In this paper, the singularity of the crack tip stress field in a nonhomogeneous medium having a shear modulus with a discontinuous derivative was investigated and the problem was solved for a finite crack and extensive results were given for the stress intensity factors.
Abstract: The singular nature of the crack tip stress field in a nonhomogeneous medium having a shear modulus with a discontinuous derivative was investigated. The problem is considered for the simplest possible loading and geometry, namely the antiplane shear loading of two bonded half spaces in which the crack is perpendicular to the interface. It is shown that the square-root singularity of the crack tip stress field is unaffected by the discontinuity in the derivative of the shear modulus. The problem is solved for a finite crack and extensive results are given for the stress intensity factors.

199 citations

Journal ArticleDOI
TL;DR: New concepts appertaining to the release of soft fouling organisms are proposed, which take into account the deformation in the adhesive base of the adherand and deformation of the PDMS film.
Abstract: The effect of modulus and film thickness on the release of adhered spores and sporelings (young plants) of the green fouling alga Ulva (syn. Enteromorpha) was investigated. PDMS elastomers of constant thickness (100 microm) but different elastic moduli were prepared by varying cross-link density with functional silicone oligomers with degrees of polymerization ranging from 18-830. This provided a 50-fold range of modulus values between 0.2 and 9.4 MPa. Three PDMS coatings of different thicknesses were tested at constant elastic modulus (0.8 MPa). The data revealed no significant increase in percentage spore removal except at the lowest modulus of 0.2 MPa although sporelings released more readily at all but the highest modulus. The influence of coating thickness was also greater for the release of sporelings compared to spores. The release data are discussed in the light of fracture mechanics models that have been applied to hard fouling. New concepts appertaining to the release of soft fouling organisms are proposed, which take into account the deformation in the adhesive base of the adherand and deformation of the PDMS film.

199 citations


Authors

Showing all 12785 results

NameH-indexPapersCitations
Yang Yang1712644153049
Gang Chen1673372149819
Yi Yang143245692268
Mark D. Griffiths124123861335
Michael Gill12181086338
Masaki Mori110220066676
Kai Nan An10995351638
James R. Rice10827868943
Vinayak P. Dravid10381743612
Andrew M. Jones10376437253
Israel E. Wachs10342732029
Demetrios N. Christodoulides10070451093
Bert M. Weckhuysen10076740945
José Luis García Fierro100102747228
Mordechai Segev9972940073
Network Information
Related Institutions (5)
University of Illinois at Urbana–Champaign
225.1K papers, 10.1M citations

94% related

Pennsylvania State University
196.8K papers, 8.3M citations

94% related

University of Maryland, College Park
155.9K papers, 7.2M citations

94% related

Purdue University
163.5K papers, 5.7M citations

94% related

Massachusetts Institute of Technology
268K papers, 18.2M citations

93% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202338
2022140
20211,040
20201,054
2019933
2018935