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Institution

Ohio State University

EducationColumbus, Ohio, United States
About: Ohio State University is a education organization based out in Columbus, Ohio, United States. It is known for research contribution in the topics: Population & Cancer. The organization has 102421 authors who have published 222715 publications receiving 8373403 citations. The organization is also known as: Ohio State & The Ohio State University.


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TL;DR: This article proposed a theoretical model in which the supply of and demand for socially responsible investment opportunities determines whether these activities will improve, reduce, or have no impact on a firm's market value.
Abstract: Debates continue to rage between those that argue that managers should maximize the present value of their firm's cash flows in making strategic choices and those that argue that, sometimes, the wealth maximizing interests of a firm's equity holders should be abandoned for the good of a firm's other stakeholders. This debate is addressed by proposing a theoretical model in which the supply of and demand for socially responsible investment opportunities determines whether these activities will improve, reduce, or have no impact on a firm's market value. The theory shows that managers in publicly traded firms might fund socially responsible activities that do not maximize the present value of its future cash flows yet still maximize the market value of their firm.

902 citations

Journal ArticleDOI
TL;DR: It is hypothesized that lack of fit of the model in the population will not, on the average, influence recovery of population factors in analysis of sample data, regardless of degree of model error and regardless of sample size.
Abstract: This article examines effects of sample size and other design features on correspondence between factors obtained from analysis of sample data and those present in the population from which the samples were drawn. We extend earlier work on this question by examining these phenomena in the situation in which the common factor model does not hold exactly in the population. We present a theoretical framework for representing such lack of fit and examine its implications in the population and sample. Based on this approach we hypothesize that lack of fit of the model in the population will not, on the average, influence recovery of population factors in analysis of sample data, regardless of degree of model error and regardless of sample size. Rather, such recovery will be affected only by phenomena related to sampling error which have been studied previously. These hypotheses are investigated and verified in two sampling studies, one using artificial data and one using empirical data.

901 citations

Journal ArticleDOI
26 Mar 2013-ACS Nano
TL;DR: This material represents a new class of covalently terminated graphane analogues and has great potential for a wide range of optoelectronic and sensing applications, especially since theory predicts a direct band gap of 1.53 eV and an electron mobility ca.
Abstract: Graphene’s success has shown not only that it is possible to create stable, single-atom-thick sheets from a crystalline solid but that these materials have fundamentally different properties than the parent material. We have synthesized for the first time, millimeter-scale crystals of a hydrogen-terminated germanium multilayered graphane analogue (germanane, GeH) from the topochemical deintercalation of CaGe2. This layered van der Waals solid is analogous to multilayered graphane (CH). The surface layer of GeH only slowly oxidizes in air over the span of 5 months, while the underlying layers are resilient to oxidation based on X-ray photoelectron spectroscopy and Fourier transform infrared spectroscopy measurements. The GeH is thermally stable up to 75 °C; however, above this temperature amorphization and dehydrogenation begin to occur. These sheets can be mechanically exfoliated as single and few layers onto SiO2/Si surfaces. This material represents a new class of covalently terminated graphane analogue...

900 citations

Journal ArticleDOI
TL;DR: It is argued that mimicry played an important role in human evolution and has now evolved to serve a social function, and nonconscious behavioral mimicry increases affiliation, which serves to foster relationships with others.
Abstract: The "chameleon effect" refers to the tendency to adopt the postures, gestures, and mannerisms of interaction partners (Chartrand & Bargh, 1999) This type of mimicry occurs outside of conscious awareness, and without any intent to mimic or imitate Empirical evidence suggests a bi-directional relationship between nonconscious mimicry on the one hand, and liking, rapport, and affiliation on the other That is, nonconscious mimicry creates affiliation, and affiliation can be ex- pressed through nonconscious mimicry We argue that mimicry played an impor- tant role in human evolution Initially, mimicry may have had survival value by helping humans communicate We propose that the purpose of mimicry has now evolved to serve a social function Nonconscious behavioral mimicry increases af- filiation, which serves to foster relationships with others We review current re- search in light of this proposed framework and suggest future areas of research

900 citations

Journal ArticleDOI
TL;DR: Progress in understanding conserved, molecular mechanisms of skeletal muscle atrophy/hypertrophy has provided a downstream platform for circumventing the variations and redundancy in upstream mediators and may ultimately translate into new targeted therapies.

898 citations


Authors

Showing all 103197 results

NameH-indexPapersCitations
Paul M. Ridker2331242245097
George Davey Smith2242540248373
Carlo M. Croce1981135189007
Eric J. Topol1931373151025
Bernard Rosner1901162147661
David H. Weinberg183700171424
Anil K. Jain1831016192151
Michael I. Jordan1761016216204
Kay-Tee Khaw1741389138782
Richard K. Wilson173463260000
Yang Yang1642704144071
Brian L Winer1621832128850
Jian-Kang Zhu161550105551
Elaine R. Mardis156485226700
R. E. Hughes1541312110970
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023261
20221,236
20219,948
20209,945
20199,052
20188,656